Relevant bibliographies by topics / Product Clustering / Dissertations / Theses

To see the other types of publications on this topic, follow the link: Product Clustering.

Dissertations / Theses on the topic 'Product Clustering'

Author: Grafiati

Published: 18 April 2022

Last updated: 18 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 dissertations / theses for your research on the topic 'Product Clustering.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.

Tsuda, Koji. "Robust Clustering Algorithm by Inner Product Scaling." Kyoto University, 1998. http://hdl.handle.net/2433/157033.

Full text

Abstract:

本文データは平成22年度国立国会図書館の学位論文(博士)のデジタル化実施により作成された画像ファイルを基にpdf変換したものである Kyoto University (京都大学) 0048 新制・課程博士 博士(工学) 甲第7356号 工博第1731号 新制||工||1109(附属図書館) UT51-98-G285 京都大学大学院工学研究科情報工学専攻 (主査)教授美濃導彦, 教授池田克夫, 教授石田亨 学位規則第4条第1項該当

APA, Harvard, Vancouver, ISO, and other styles

Sahin, Asli. "A Data Clustering Approach to Support Modular Product Family Design." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/29481.

Full text

Abstract:

Product Platform Planning is an emerging philosophy that calls for the planned development of families of related products. It is markedly different from the traditional product development process and relatively new in engineering design. Product families and platforms can offer a multitude of benefits when applied successfully such as economies of scale from producing larger volumes of the same modules, lower design costs from not having to redesign similar subsystems, and many other advantages arising from the sharing of modules. While advances in this are promising, there still remain significant challenges in designing product families and platforms. This is particularly true for defining the platform components, platform architecture, and significantly different platform and product variants in a systematic manner. Lack of precise definition for platform design assets in terms of relevant customer requirements, distinct differentiations, engineering functions, components, component interfaces, and relations among all, causes a major obstacle for companies to take full advantage of the potential benefits of product platform strategy. The main purpose of this research is to address the above mentioned challenges during the design and development of modular platform-based product families. It focuses on providing answers to a fundamental question, namely, how can a decision support approach from product module definition to the determination of platform alternatives and product variants be integrated into product family design? The method presented in this work emphasizes the incorporation of critical design requirements and specifications for the design of distinctive product modules to create platform concepts and product variants using a data clustering approach. A case application developed in collaboration with a tire manufacturer is used to verify that this research approach is suitable for reducing the complexity of design results by determining design commonalities across multiple design characteristics. The method was found helpful for determining and integrating critical design information (i.e., component dimensions, material properties, modularization driving factors, and functional relations) systematically into the design of product families and platforms. It supported decision-makers in defining distinctive product modules within the families and in determining multiple platform concepts and derivative product variants. Ph. D.

APA, Harvard, Vancouver, ISO, and other styles

Orfi, Nihal Mohamed Sherif. "Harnessing Product Complexity: An Integrative Approach." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/77292.

Full text

Abstract:

In today's market, companies are faced with pressure to increase variety in product offerings. While increasing variety can help increase market share and sales growth, the costs of doing so can be significant. Ultimately, variety causes complexity in products and processes to soar, which negatively impacts product development, quality, production scheduling, efficiency and more. Product variety is just one common cause of product complexity, a topic that several researchers have tackled with several sources of product complexity now identified. However, even with such progress, product complexity continues to be a theoretical concept, making it difficult for companies to fully implement advances and fully manage product complexity. More and more companies are relying on product family design to handle product variety. Broadly, a product family can be defined as a group of products sharing common elements. The advantages for companies using product family strategies can be significant: they enable efficient derivation of product variants, reduce inventory and handling costs, as well as setup and retooling time. The design challenge however, is to select the product platform to generate a variety of products with minimum deviation from individual requirements. Accordingly, the structure of product families makes designing and evaluating them a challenging process. In order to fully embrace the relationships between variety, product complexity, and product families an understanding of product complexity causes and impacts is essential. This research begins by introducing four main dimensions of product complexity within the context of a generalized definition. Product complexity indicators suitable in product design, development and production are derived. By establishing measurements for the identified indicators and using clustering techniques, a complexity evaluation approach for product family designs is also developed in this research. The evaluation approach is also applied on a component basis, to identify Critical Components that are main sources and contributors of complexity within product families. By standardizing identified Critical Components, product complexity levels and associated costs can be managed. A case application of three product families from a tire manufacturing company is used to verify that this research approach is suitable for evaluating and managing product complexity in product families. Ph. D.

APA, Harvard, Vancouver, ISO, and other styles

Börjesson, Fredrik. "Approaches to Modularity in Product Architecture." Licentiate thesis, KTH, Maskinelement, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-96491.

Full text

Abstract:

Modular product architecture is characterized by the existence of standardized interfaces between the physical building blocks. A module is a collection of technical solutions that perform a function, with interfaces selected for company-specific strategic reasons. Approaches to modularity are the structured methods by which modular product architectures are derived. The approaches include Modular Function Deployment (MFD), Design Structure Matrix (DSM), Function Structure Heuristics and many other, including hybrids. The thesis includes a survey of relevant theory and a discussion of four challenges in product architecture research, detailed in the appended papers. One common experience from project work is structured methods such as DSM or MFD often do not yield fully conclusive results. This is usually because the algorithms used to generate modules do not have enough relevant data. Thus, we ask whether it is possible to introduce new data to make the output more conclusive. A case study is used to answer this question. The analysis indicates that with additional properties to capture product geometry, and flow of matter, energy, or information, the output is more conclusive. If product development projects even have an architecture definition phase, very little time is spent actually selecting the most suitable tool. Several academic models are available, but they use incompatible criteria, and do not capture experience-based or subjective criteria we may wish to include. The research question is whether we can define selection criteria objectively using academic models and experience-based criteria. The author gathers criteria from three academic models, adds experience criteria, performs a pairwise comparison of all available criteria and applies a hierarchical cluster analysis, with subsequent interpretation. The resulting evaluation model is tested on five approaches to modularity. Several conclusions are discussed. One is that of the five approaches studied, MFD and DSM have the most complementary sets of strengths and weaknesses, and that hybrids between these two fundamental approaches would be particularly interesting. The majority of all product development tries to improve existing products. A common criticism against all structured approaches to modularity is they work best for existing products. Is this perhaps a misconception? We ask whether MFD and DSM can be used on novel product types at an early phase of product development. MFD and DSM are applied to the hybrid drive train of a Forwarder. The output of the selected approaches is compared and reconciled, indicating that conclusions about a suitable modular architecture can be derived, even when many technical solutions are unknown. Among several conclusions, one is the electronic inverter must support several operating modes that depend on high-level properties of the drive train itself (such as whether regeneration is used). A modular structure for the electronic inverter is proposed. Module generation in MFD is usually done with Hierarchical Cluster Analysis (HCA), where the results are presented in the form of a Dendrogram. Statistical software can generate a Dendrogram in a matter of seconds. For DSM, the situation is different. Most available algorithms require a fair amount of processing time. One popular algorithm, the Idicula-Gutierrez-Thebeau Algorithm (IGTA), requires a total time of a few hours for a problem of medium complexity (about 60 components). The research question is whether IGTA can be improved to execute faster, while maintaining or improving quality of output. Two algorithmic changes together reduce execution time required by a factor of seven to eight in the trials, and improve quality of output by about 15 percent. QC 20120605

APA, Harvard, Vancouver, ISO, and other styles

Furuhashi, Takeshi, Tomohiro Yoshikawa, Kanta Tachibana, and Minh Tuan Pham. "A Clustering Method for Geometric Data based on Approximation using Conformal Geometric Algebra." IEEE, 2011. http://hdl.handle.net/2237/20706.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Damineni, Sarath Chandra, and Sai Manikanta Munukoti. "Product Usage Data collection and Analysis in Lawn-mowers." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20658.

Full text

Abstract:

Background: As the requirements for the modern-day comforts are raising from day to day, the great evolution in the field of lawn-mowers is recorded. This evolution made companies produce a fleet of lawn-mowers(commercial, house-hold) for different kinds of usages. Despite the great evolution and market in this field, to the best of our knowledge, no effort was made to understand customer usage by analysis of real-time usage of lawn-mowers. This research made an attempt to analyse the real-time usage of lawn-mowers using techniques like machine learning. Objectives: The main objective of the thesis work is to understand customer usage of lawn-mowers by analysing the real-time usage data using machine learning algorithms. To achieve this, we first review several studies to identify what are the different ways(scenarios) and how to understand customer usage from those scenarios. After discussing these scenarios with the stakeholders at the company, we evaluated a suitable scenario in the case of lawn-mowers. Finally, we achieved the primary objective by clustering the usage of lawn-mowers by analysing the real-world time-series data from the Controller Area Network(CAN) bus based on the driving patterns. Methods: A Systematic literature review(SLR) is performed to identify the different ways to understand customer usage by analysing the usage data using machine learning algorithms and SLR is also performed to gain detailed knowledge about different machine learning algorithms to apply to the real-world data. Finally, an experiment is performed to apply the machine learning algorithms on the CAN bus time-series data to evaluate the usage of lawn-mowers into various clusters and the experiment also involves the comparison and selection of different machine learning algorithms applied to the data. Results: As a result of SLR, we achieved different scenarios to understand customer behaviours by analysing the usage data. After formulating the best suitable scenario for lawn-mowers, SLR also suggested the best suitable machine learning algorithms to be applied to the data for the scenario. Upon applying the machine learning algorithms after making necessary pre-processing steps, we achieved the clusters of usage of lawn-mowers for every driving pattern selected. We also achieved the clusters for different features of driving patterns that indicate the various characteristics like a change of intensity in the usage, rate of change in the usage, etc. Conclusions: This study identified customer behaviours based on their usage data by clustering the usage data. Moreover, clustering the CAN bus time-series data from lawn-mowers gave fresh insights to study human behaviours and interaction with the lawn-mowers. The formulated clusters have a great scope to classify and develop the individual strategy for each cluster formulated. Further, clusters can also be useful for identifying the outlying behaviour of users and/or individual components.

APA, Harvard, Vancouver, ISO, and other styles

Rahmani, Younes. "The Multi-product Location-Routing Problem with Pickup and Delivery." Thesis, Université de Lorraine, 2015. http://www.theses.fr/2015LORR0331/document.

Full text

Abstract:

Dans les problèmes de localisation-routage classiques (LRP), il s'agit de combiner des décisions stratégiques liées aux choix des sites à ouvrir (centres de traitement) avec des décisions tactiques et opérationnelles liées à l'affectation des clients aux sites sélectionnés et a la confection des tournées associées. Cette thèse propose de nouveaux modèles de localisation-routage permettant de résoudre des problématiques issues de réseaux logistiques, devenus aujourd'hui de plus en plus complexes vu la nécessité de mutualisation de ressources pour intégrer des contraintes de développement durable et des prix de carburants qui semblent augmenter de manière irrémédiable. Plus précisément, trois aspects ont été intégrés pour généraliser les modèles LRP classiques de la littérature : 1) l'aspect pickup and delivery, 2) l'aspect multi-produits, et 3) la possibilité de visiter un ou plusieurs centres de traitement dans une tournée donnée. Nous avons étudié deux schémas logistiques, qui ont donné lieu à deux nouveaux modèles de localisation et de routage, le MPLRP-PD (LRP with multi-product and pickup and delivery), qui peut être vu comme une extension des problèmes de tournées de véhicules avec collecte et livraison, intégrant une décision tactique liée à la localisation des centres de traitement (noeud avec collecte et livraison) dans un réseau de distribution à un seul échelon, et le 2E-MPLRP-PD (Two-echelon LRP with multi-product and pickup and delivery) qui est une généralisation du LRP à deux échelons avec les contraintes citées plus-haut. Ces deux modèles ont été formalisés par des programmes linéaires en variables mixtes (MIP). Des techniques de résolution, basées sur des méthodes de type heuristique, clustering, métaheuristique, ont été proposées pour résoudre le MPLRP-PD et le 2E-MPLRP-PD. Les jeux d'essais de la littérature ont été généralisés pour tester et valider les algorithmes proposés In the framework of Location-Routing Problem (LRP), the main idea is to combine strategic decisions related to the choice of processing centers with tactical and operational decisions related to the allocation of customers to selected processing centers and computing the associated routes. This thesis proposes a new location-routing model to solve problems which are coming from logistics networks, that became nowadays increasingly complex due to the need of resources sharing, in order to integrate the constraints of sustainable development and fuels price, which is increasing irreversibly. More precisely, three aspects have been integrated to generalize the classical LRP models already existed in the literature: 1) pickup and delivery aspect, 2) multi-product aspect, and 3) the possibility to use the processing centers as intermediate facilities in routes. We studied two logistics schemes gives us two new location-routing models: (i) MPLRP-PD (Multi-product LRP with pickup and delivery), which can be viewed as an extension of the vehicle routing problem with pick-up and delivery, including a tactical decision related to the location of processing centers (node with pick-up and delivery), and (ii) 2E-MPLRP-PD (Two-echelon multi-product LRP with pickup and delivery), which is a generalization of the two-echelon LRP. Both models were formalized by mixed integer linear programming (MIP). Solving techniques, based on heuristic methods, clustering approach and meta-heuristic techniques have been proposed to solve the MPLRP-PD and the 2E-MPLRP-PD. The benchmarks from the literature were generalized to test and to validate the proposed algorithms

APA, Harvard, Vancouver, ISO, and other styles

Jiao, Jian. "A framework for finding and summarizing product defects, and ranking helpful threads from online customer forums through machine learning." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/23159.

Full text

Abstract:

The Internet has revolutionized the way users share and acquire knowledge. As important and popular Web-based applications, online discussion forums provide interactive platforms for users to exchange information and report problems. With the rapid growth of social networks and an ever increasing number of Internet users, online forums have accumulated a huge amount of valuable user-generated data and have accordingly become a major information source for business intelligence. This study focuses specifically on product defects, which are one of the central concerns of manufacturing companies and service providers, and proposes a machine learning method to automatically detect product defects in the context of online forums. To complement the detection of product defects , we also present a product feature extraction method to summarize defect threads and a thread ranking method to search for troubleshooting solutions. To this end, we collected different data sets to test these methods experimentally and the results of the tests show that our methods are very promising: in fact, in most cases, they outperformed the current state-of-the-art methods. Ph. D.

APA, Harvard, Vancouver, ISO, and other styles

Tavassoli, Mohammad hosein. "Exploring the Critical Success Factors of Industrial Clustering; SMIL as an illustrative case study." Thesis, Linköping University, Department of Management and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-53706.

Full text

Abstract:

“Industrial cluster” is one type of agglomeration and the concept has been increasingly used and recognized as an essential part of regional development strategies and thinking in recent years. However, there has not been an explicit collection-work devoted to exploring the Critical Success Factors (CSFs). So, this thesis aims to explore such CSFs based on literature review as well as illustrative case study.The major finding of this thesis is exploration of 18 (possible) CSFs based on extensive literature review and grouping them into 5 success categories (see Table 3 for the full list of them). The contribution of each explored CSFs to the success of a typical cluster has been checked, in order to assure that each explored CSF is really functioning as a CSF. Then, SMIL as a real-life cluster with 25 years old in Linköping region of Sweden is used as an illustrative case study, in order to observe the literature-based explored CSFs in reality.In addition, based on both literature review and illustrative case, a number of relations between CSFs have been identified. In particular, such relations can be described as; some CSFs may lead to creation of some other CSFs.Illustrative case study shows that some of the literature-based explored CSFs are not observable in a real-life cluster, i.e. SMIL. The main reasons for such lack of the validity of some CSFs in SMIL cluster are mostly deal with the SMIL (association) as the node organizer of SMIL cluster. Such main reasons are; weak linkage between SMIL association and some of its actors, and/or being out of the scope of SMIL’s agenda and focus.The other finding of this thesis is that; in terms of resource, network-based clusters with network activities (such as SMIL cluster) are richer in soft resources (such as pre and post existence of knowledge in the region) than hard ones (like infrastructural resources).At the end, there are some recommendations for SMIL in order to improve its overall performance, by considering some possible CSFs.

APA, Harvard, Vancouver, ISO, and other styles

Zeng, Kaiman. "Next Generation of Product Search and Discovery." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2312.

Full text

Abstract:

Online shopping has become an important part of people’s daily life with the rapid development of e-commerce. In some domains such as books, electronics, and CD/DVDs, online shopping has surpassed or even replaced the traditional shopping method. Compared with traditional retailing, e-commerce is information intensive. One of the key factors to succeed in e-business is how to facilitate the consumers’ approaches to discover a product. Conventionally a product search engine based on a keyword search or category browser is provided to help users find the product information they need. The general goal of a product search system is to enable users to quickly locate information of interest and to minimize users’ efforts in search and navigation. In this process human factors play a significant role. Finding product information could be a tricky task and may require an intelligent use of search engines, and a non-trivial navigation of multilayer categories. Searching for useful product information can be frustrating for many users, especially those inexperienced users. This dissertation focuses on developing a new visual product search system that effectively extracts the properties of unstructured products, and presents the possible items of attraction to users so that the users can quickly locate the ones they would be most likely interested in. We designed and developed a feature extraction algorithm that retains product color and local pattern features, and the experimental evaluation on the benchmark dataset demonstrated that it is robust against common geometric and photometric visual distortions. Besides, instead of ignoring product text information, we investigated and developed a ranking model learned via a unified probabilistic hypergraph that is capable of capturing correlations among product visual content and textual content. Moreover, we proposed and designed a fuzzy hierarchical co-clustering algorithm for the collaborative filtering product recommendation. Via this method, users can be automatically grouped into different interest communities based on their behaviors. Then, a customized recommendation can be performed according to these implicitly detected relations. In summary, the developed search system performs much better in a visual unstructured product search when compared with state-of-art approaches. With the comprehensive ranking scheme and the collaborative filtering recommendation module, the user’s overhead in locating the information of value is reduced, and the user’s experience of seeking for useful product information is optimized.

APA, Harvard, Vancouver, ISO, and other styles

Andreea, Florea Stefania. "Approaches to vehicle modularization : - An industrial product architecture analysis." Thesis, KTH, Maskinkonstruktion (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232472.

Full text

Abstract:

Detta M.Sc. examensarbete innehåller resultatet från ett projekt som utförs i samarbete med Scania CV AB i Södertälje. Projektet är inriktat på arkitekturanalyser där olika modulariseringsmetoder tillämpas på ett komplext system. Scania har en känd och framgångsrik historia inom modularisering, som anses spelat en viktig roll för att bli ett av världens ledande företag idag. Därför ville produktbeskrivningsmetodavdelningen på Scania undersöka ett motordelsystem för att få en bättre förståelse för sin nuvarande arkitektur. För detta ändamål har lämpliga modulariseringsmetoder använts.Systemet Extreme High-Pressure Injection (XPI) valdes av författaren för undersökning och modulariserades med två olika metoder: Heuristisk metoden och DSM (Design Structure Matrix) –metoden, med hjälp av IGTA ++ klustringsalgoritmen. De resulterande klustren från bådametoderna analyserades och jämfördes med de från den nuvarande arkitekturen. Baserat på dessaanalyser föreslogs en modulär arkitektur slutligen av författaren.Avhandlingen identifierar de arkitektoniska skillnaderna efter tillämpning av modulariseringsmetoderna och belyser de möjliga faktorer som kan påverka analysresultaten. Den avslöjar också att DSM-analyserna visar de mest liknande klusterförslagen med den nuvarande arkitekturen. Utvecklingen av systemkonfigurationen undersöks också genom att använda den tidigare versionen som referens. Ett annat syfte med uppsatsen är att svara på frågan om systemets flexibilitet när det gäller teknikskifte. This Master Thesis encloses the results of a project conducted in collaboration with Scania CV AB in Södertälje. The project is focused on architecture analysis when modularization methods are applied to a complex system. Scania has a known and successful history in modularization, which it is claimed to play an essential role in becoming one of the world’s leading companies today. Therefore, the Product description methodology department within Scania wanted to investigate an engine subsystem in order to have a better understanding of its current architecture. For this purpose, there have been implemented suitable modularization methods.The Extreme High-Pressure Injection (XPI) system was chosen by the author for investigation and modularized using two different methods: Heuristic method and DSM (Design Structure Matrix) method using IGTA++ clustering algorithm. The resulted clusters from both methods were analyzed and compared with the ones from the current architecture. Based on these analyses a modular architecture was finally suggested by the author.The thesis identifies the architectural differences after applying the modularization methods and highlights the possible factors which may influence the analyses results. It also reveals the DSM analyses show most similar cluster proposals with the current architecture. The evolution of the system configuration is also investigated by having its previous version as reference. Another purpose of the thesis is to answer the research question regarding the system’s flexibility when it comes to technology shift.

APA, Harvard, Vancouver, ISO, and other styles

Rahmani, Younes. "The Multi-product Location-Routing Problem with Pickup and Delivery." Electronic Thesis or Diss., Université de Lorraine, 2015. http://www.theses.fr/2015LORR0331.

Full text

Abstract:

APA, Harvard, Vancouver, ISO, and other styles

Masetti, Masha. "Product Clustering e Machine Learning per il miglioramento dell'accuratezza della previsione della domanda: il caso Comer Industries S.p.A." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

Find full text

Abstract:

I lunghi lead time della catena di fornitura cinese dell’azienda Comer Industries S.p.A la obbligano ad ordinare i materiali con sei mesi di anticipo, data in cui spesso i clienti non sono consapevoli dei quantitativi di materiale che necessiteranno. Al fine di rispondere ai clienti mantenendo l’alto livello di servizio garantito storicamente da Comer Industries, risulta essenziale ordinare il materiale basandosi sulle previsioni della domanda. Tuttavia, attualmente le previsioni non sono sufficientemente accurate. L’obiettivo di questa ricerca è individuare un possibile metodo per incrementare l’accuratezza delle previsioni della domanda. Potrebbe, al fine del miglioramento della forecast accuracy, incidere positivamente l’utilizzo dell’Intelligenza Artificiale? Per rispondere alla domanda di ricerca, si sono implementati l’algoritmo K-Means e l’algoritmo Gerarchico in Visual Basic Application al fine di dividere i prodotti in cluster sulla base dei componenti comuni. Successivamente, si sono analizzati gli andamenti della domanda. Implementando differenti algoritmi di Machine Learning su Google Colaboratory, si sono paragonate le accuratezze ottenute e si è individuato un algoritmo di previsione ottimale per ciascun profilo di domanda. Infine, con le previsioni effettuate, si è potuto identificare con il K-means un miglioramento dell’accuracy di circa il 54,62% rispetto all’accuratezza iniziale ed un risparmio del 47% dei costi per il mantenimento del safety stock, mentre con il Clustering Gerarchico si è rilevato un miglioramento dell’accuracy del 11,15% ed un risparmio del 45% dei costi attuali. Si è, pertanto, concluso che la clusterizzazione dei prodotti potrebbe apportare un contributo positivo all’accuratezza delle previsioni. Inoltre, si è osservato come il Machine Learning potrebbe costituire lo strumento ideale per individuare le soluzioni ottimali sia all’interno degli algoritmi di Clustering sia all’interno dei metodi previsionali.

APA, Harvard, Vancouver, ISO, and other styles

Young, Stephen J. "Random dot product graphs a flexible model for complex networks." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26548.

Full text

Abstract:

Thesis (Ph.D)--Mathematics, Georgia Institute of Technology, 2009. Committee Chair: Mihail, Milena; Committee Member: Lu, Linyuan; Committee Member: Sokol, Joel; Committee Member: Tetali, Prasad; Committee Member: Trotter, Tom; Committee Member: Yu, Xingxing. Part of the SMARTech Electronic Thesis and Dissertation Collection.

APA, Harvard, Vancouver, ISO, and other styles

von, Axelson Jens. "On development of production methods for transfer to SMEs." Doctoral thesis, KTH, Industriell produktion, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4502.

Full text

Abstract:

The main problem in this thesis is: How should research and development results regarding production methods be represented for better adoption by SMEs? Manufacturing SMEs in Sweden have in general low profit margins and risk to go bankrupt. Different production methods could facilitate the needed performance improvement. Networking provides an arena where research and development needs could be determined and effective transfer activities could be carried through. How new production methods could be characterized and represented are presented. Several case studies, surveys and literature studies have been carried through. The results from these studies have been analyzed and compared to literature on the production method diffusion process – Dissemination-Clustering-Transfer. This analysis has resulted in a specification of requirements on how new production methods should be presented for better adoption by SMEs. One suggestion to the specification of requirements, the DFMTsme process, is described. The process is based on a repeated development procedure and follows a six-step development process in five phases. It is concluded that the DFMTsme process works. The research project is finally reviewed due to verification, validation and the contribution to knowledge. Implications for actors in the production method diffusion process as well as for policy makers are discussed. QC 20100729

APA, Harvard, Vancouver, ISO, and other styles

Davis, Casey J. "Using Self-Organizing Maps to Cluster Products for Storage Assignment in a Distribution Center." Ohio University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1491925558920507.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Williamsson, David. "Modularization of Test Rigs." Thesis, KTH, Maskinkonstruktion (Inst.), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175885.

Full text

Abstract:

This Master of Science Thesis contains the result of a product development project, conducted in collaboration with Scania CV AB in Södertälje. Scania has a successful history in vehicle modularization and therefore wanted to investigate the possibility to modularize their test rigs as well, in order to gain various types of benefits. The section UTT (Laboratory Technology) at Scania, where the project was conducted, had however little experience in product modularization. The author of the thesis therefore identified a specific test rig and modularized it by using appropriate methods. Moreover, a new method was developed by the author, in order to modularize the test rig according to both product complexity and company strategies. This was done by adapting the DSM (Design Structure Matrix) with strategies from the MIM (Module Indication Matrix), before clustering it with the IGTA++ clustering algorithm. The result of the different modularization methods was finally evaluated and compared, before choosing the most suitable modular test rig architecture. The chosen architecture was then analyzed, in order to determine potential benefits that it could offer. Another purpose of the thesis was to answer the research questions about the possibility to combine a DSM and MIM, and if that would improve the result when modularizing a product. The thesis also aimed at providing the project owners with a theoretical background in the field of product modularization and System-Level design (embodiment design). The conclusions of the thesis is that the chosen modular test rig architecture has 41% less complexity (compared with the original architecture) and could potentially increase the flexibility, reduce the risk of design mistakes and reduce the development time by up to 70%. It would also be theoretically possible to reuse up to 57% of the modules, when redesigning the test rig in the future. The thesis also identified that it is possible to transfer some information from a MIM and import it to a DSM, which answered one of the research questions, it was however not possible to claim that it will always improve the result. Detta M.Sc. examensarbete innehåller resultatet av ett produktframtagningsprojekt som genomfördes i samarbete med Scania CV AB i Södertälje. Scania har en framgångsrik historia inom modularisering av fordon och var därför intresserade av att undersöka möjligheten att modularisera sina provningsriggar, för att uppnå olika typer av strategiska fördelar. Sektionen UTT (Laboratorieteknik) på Scania, där projektet genomfördes, hade dock lite erfarenhet av modularisering av produkter. Författaren av detta examensarbete identifierade därför en specifik provningsrigg och modulariserade den med hjälp av lämpliga metoder. Dessutom utvecklades en ny metod av författaren för att både kunna betrakta företagsstrategier och produktkomplexiteten under modulariseringen. Detta gjordes genom att anpassa en DSM (Design Structure Matrix) med strategier från en MIM (Module Indication Matrix), innan den klustrades med hjälp av algoritmen IGTA++. Resultatet av de olika modulariseringsmetoderna utvärderades och jämfördes slutligen innan den lämpligaste modulära provriggsarkitekturen valdes. Den valda arkitekturen analyserades sedan för att identifiera tänkbara strategiska fördelar som den skulle kunna möjliggöra. Ett annat syfte med examensarbetet var att besvara forskningsfrågorna om möjligheten att kombinera en DSM och MIM, och om det i så fall skulle förbättra resultatet av modulariseringen. Målet med examensarbetet var också att förse sektionen UTT med en teoretisk bakgrund inom modularisering och systemkonstruktion. Slutsatserna av examensarbetet är att den valda modulära produktarkitekturen har 41% lägre komplexitet (jämfört med den ursprungliga arkitekturen) och skulle dessutom potentiellt kunna öka flexibiliteten, minska risken för konstruktionsfel samt minska ledtiden (under utvecklingen) med upp till 70%. Det skulle också vara teoretiskt möjligt att återanvända upp till 57% av modulerna när den studerade provningsriggen behöver utvecklas i framtiden. Under examensarbetet identifierades också möjligheten att överföra information från en MIM till en DSM, vilket besvarade en av forskningsfrågorna. Det var dock inte möjligt att besvara frågan om det alltid förbättrar resultatet.

APA, Harvard, Vancouver, ISO, and other styles

FATHINEJAD, Negin. "Dual quality issue and consumer expectation in the European food market: A study in Poland and Italy." Doctoral thesis, Università degli studi di Cassino, 2021. http://hdl.handle.net/11580/84148.

Full text

Abstract:

This dissertation explores the consumer acceptance level (CAL) of quality differences in global branded food products (GBFP) across the EU Member States in the context of localization strategies. Face-to-face consumer interviews were conducted through a structured questionnaire of 637 consumers in Poland and Italy in summer 2019 to assess the CAL regarding i) the perception and acceptance of differences in product feature and ii) the perceived firms’ motivations to offer different varieties of the same GBFP in the different EU Member States. It was tested whether CAL of quality differences varies across countries. The clustering of variables method was used to group the strongly related homogeneous variables and create a meaningful structure. Analysis of Poland’s sample data suggests that some differences in taste, color, and texture of GBFPs can be acceptable to consumers. In contrast, differences in ingredients, composition, and even the product’s size are not acceptable. This suggests that if global branded firms adopt localization strategies in the Polish market, they may make changes in taste, color, and texture, but changes to ingredients and product size might increase consumer dissatisfaction. Breakdown of Italy sample data shows that ingredients and composition are linked to taste, color, and texture, included in the “pleasure feature group” with similar CAL of differences. However, CAL for Ingredients content percentages linked it to labeling under “information group.” The result suggests that differences in the pleasure feature group are less critical than those in the information group. Both countries are similarly indifferent about packaging and price differences, according to the samples. Interestingly, for both countries, rules and regulations are acceptable as a reason to have various qualities of food. Perhaps, consumers think that the rules and regulations protect them even if it causes some product changes.

APA, Harvard, Vancouver, ISO, and other styles

Haribabu, Aravind Saravanan. "Active Interaction Complexity in Systems Engineering." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301619.

Full text

Abstract:

The master's thesis describes how complexity measurement can enhance product development or design processes in collaboration with Scania CV AB. Scania has a strong track record in vehicle modularization and thus wanted to investigate the possibility of using complexity measures when architecting, developing, and maintaining complex engineering products such as electrified or self-driving trucks and buses to gain various types of benefits. The section YMPI at Scania, where the project is conducted, had, however, little experience in complexity measurements wants to identify and investigate which complexity measure effectively captures the complexity of a complex system. A fairly complicated industrial case of a conceptual Battery Electric Vehicle (BEV) variant was utilized to demonstrate the newly proposed complexity metric methodology and demonstrate its ability to determine the technical complexity of a system. As a result, the thesis author found a specific case study at Scania and used appropriate methodologies to determine the complexity of the chosen subsystem using the newly proposed complexity measure. This was done by adapting the DSM (Design Structure Matrix) before clustering it with the IGTA++ clustering algorithm. The proposed complexity metric yields a higher complexity number when compared to the traditional product complexity metric. Another purpose of the thesis was to answer the research questions and conduct a literature review in the field of Model Based System Engineering and product architecting to define the state-of-the-art. The thesis concludes that the newly proposed complexity metric, when implemented on the chosen subsystem, yields a higher complexity number when compared to the number obtained from product complexity, implying that including the directions of an interaction between the components and taking into account the active interacting components improves the accuracy of the complexity measure. Therefore, it is recommended to Scania to use this proposed method to find the complexity of the system and to compare how the system gets complex when incorporating new technologies or modifying the system or product architecture, as well as to utilize this as a safety and a performance factor for a system. I examensarbetet beskrivs hur komplexitetsmätning kan förbättra produktutvecklings- eller designprocesser i samarbete med Scania CV AB. Scania har en stark erfarenhet av fordonsmodularisering och önskade därför undersöka möjligheten att använda komplexitetsmått för arkitektur, utveckling och underhåll av komplexa tekniska produkter som elektrifierade eller självkörande lastbilar och bussar för att få olika typer av fördelar. Sektionen YMPI på Scania, där projektet genomförs, hade dock lite erfarenhet av komplexitetsmått och sökte identifiera och undersöka vilket komplexitetsmått som effektivt fångar komplexiteten hos ett komplext system. Ett ganska komplicerat industriellt fall av en konceptuell variant av ett elektriskt batterifordon (BEV) användes för att demonstrera den nyligen föreslagna metoden för komplexitetsmätning och för att visa dess förmåga att fastställa ett systems tekniska komplexitet. Som ett resultat av detta hittade avhandlingsförfattaren en specifik fallstudie hos Scania och använde lämpliga metoder för att bestämma komplexiteten hos det valda delsystemet med hjälp av det nyligen föreslagna komplexitetsmåttet. Detta gjordes genom att anpassa DSM (Design Structure Matrix) innan den klustrades med klusteralgoritmen IGTA++. Det föreslagna komplexitetsmåttet ger ett högre komplexitetstal jämfört med det traditionella produktkomplexitetsmåttet. Ett annat syfte med avhandlingen var att besvara forskningsfrågorna och genomföra en litteraturstudie inom området modellbaserad systemteknik och produktarkitektur för att definiera den senaste tekniken. I avhandlingen dras slutsatsen att det nyligen föreslagna komplexitetsmåttet, när det tillämpas på det valda delsystemet, ger ett högre komplexitetstal jämfört med det tal som erhålls från produktkomplexitet, vilket innebär att om man inkluderar riktningarna för en interaktion mellan komponenterna och tar hänsyn till de aktiva interagerande komponenterna förbättras komplexitetsmåttets noggrannhet. Därför rekommenderas Scania att använda den föreslagna metod för att fastställa systemets komplexitet och jämföra hur systemet blir mer komplext när ny teknik införlivas eller när system- eller produktarkitekturen ändras, samt att använda detta som en säkerhets- och prestandafaktor för ett system.

APA, Harvard, Vancouver, ISO, and other styles

Paganin, Sally. "Prior-driven cluster allocation in bayesian mixture models." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426831.

Full text

Abstract:

There is a very rich literature proposing Bayesian approaches for clustering starting with a prior probability distribution on partitions. Most approaches assume exchangeability, leading to simple representations of such prior in terms of an Exchangeable Partition Probability Function (EPPF). Gibbs-type priors encompass a broad class of such cases, including Dirichlet and Pitman-Yor processes. Even though there have been some proposals to relax the exchangeability assumption, allowing covariate-dependence and partial exchangeability, limited consideration has been given on how to include concrete prior knowledge on the partition. Our motivation is drawn from an epidemiological application, in which we wish to cluster birth defects into groups and we have a prior knowledge of an initial clustering provided by experts. The underlying assumption is that birth defects in the same group may have similar coefficients in logistic regression analysis relating different exposures to risk of developing the defect. As a general approach for including such prior knowledge, we propose a Centered Partition (CP) process that modifies a base EPPF to favor partitions in a convenient distance neighborhood of the initial clustering. This thesis focus on providing characterization of such new class, along with properties and general algorithms for posterior computation. We illustrate the methodology through simulation examples and an application to the motivating epidemiology study of birth defects.

APA, Harvard, Vancouver, ISO, and other styles

Zhou, Dunke. "High-dimensional Data Clustering and Statistical Analysis of Clustering-based Data Summarization Products." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1338303646.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Vurukkara, Boopal Sandheep Kumar. "How Subjective Clustering aids Affinity Diagram in grouping Customer needs inconsumer products." Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210215.

Full text

Abstract:

Insamling och analys av kundernas behov är viktiga delar i produktutvecklings- och innovationsprocesser. Dessa kundbehov måste vara i en form som lätt kan kommuniceras och förstås särskilt avproduktutvecklare i ett företag. Affinity Diagram är ett vanligt använt verktyg för att strukturera kundbehov. På grund av att metoden bygger på gruppdiskussioner, finns det risk för att enskilda individers åsikter inte tas tillvara. En metod som tar hänsyn till de individuella bedömningarna är Subjective clustering, vilkenhar utvecklats för att stödja Affinity Diagram. Tidigare forskare har tillämpat båda dessa metoder i ett vetenskapligt och industriellt sammanhang och har funnit att det finns 92,5% av koppling mellan Affinity Diagram och Subjective clustering och drog slutsatsen att Subjective clustering stödjer Affinity Diagram. Det saknas forskning om huruvida Subjective clustering stödjer Affinity Diagram för konsumentprodukter. För att undersöka detta har en fallstudie på konsumentprodukter i ett produktutvecklingsprojekt i Creaffective GmbH genomförts. Studien har undersökt hur kundbehov stuktureras både från produktutvecklarensoch från kundens perspektiv. Affinity Diagram och Subjective clustering utfördes i var och en av grupperna och jämfördes. Det konstaterades att det fanns 70% av association mellan Affinity Diagram och Subjective clustering i produktutvecklingsgruppenoch 58% av association mellan Affinity Diagram och Subjective clustering med kunderna som fokusgrupp. Från analysen framgår att Affinity Diagram ensam utgör är lämplig metod för att strukturera kundernas behov för konsumentprodukter. Bakomliggande skäl till detta diskuteras i rapporten samt förslag på fortsatta studier. Collection and analysis of customer needs are important parts of product development and innovation processes. These customer needs must be in a form that can be easily communicated and easily understood especially by the R&D personnel. Affinity Diagram is one such tool to structure these data. Because of the nature of the Affinity diagram method, it is prone to biases. An alternative method that exists is Subjective clustering. It has been developed as an aid to support affinity diagram. Previous researcher has applied both these methods in a scientific and industrial context and has found that there is 92.5% of association between affinity diagram and subjective clustering and concluded that Subjective clustering aids affinity diagram. However there has been no research on whether subjective clustering aids affinity diagram in consumer products context. Taking this as a research gap, this thesis is performed, taking the Innovation project at Creaffective GmbH, as a case study. The research is conducted from both Product Development Team’s and Customer’s perspective. Affinity Diagram and Subjective clustering were separately performed with each of the group and then compared. It was found that there was 70% of association between Affinity Diagram and Subjective clustering by Product Development Team and 58% of association between Affinity Diagram and Subjective clustering by customers. It was concluded from the analysis that Affinity Diagram is the only suitable method to structure the customer needs for consumer products. Underlying reasons to the result is discussed in the thesis and further studied suggested,

APA, Harvard, Vancouver, ISO, and other styles

Barreau, Baptiste. "Machine Learning for Financial Products Recommendation." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPAST010.

Full text

Abstract:

L’anticipation des besoins des clients est cruciale pour toute entreprise — c’est particulièrement vrai des banques d’investissement telles que BNP Paribas Corporate and Institutional Banking au vu de leur rôle dans les marchés financiers. Cette thèse s’intéresse au problème de la prédiction des intérêts futurs des clients sur les marchés financiers, et met plus particulièrement l’accent sur le développement d’algorithmes ad hoc conçus pour résoudre des problématiques spécifiques au monde financier.Ce manuscrit se compose de cinq chapitres, répartis comme suit :- Le chapitre 1 expose le problème de la prédiction des intérêts futurs des clients sur les marchés financiers. Le but de ce chapitre est de fournir aux lecteurs toutes les clés nécessaires à la bonne compréhension du reste de cette thèse. Ces clés sont divisées en trois parties : une mise en lumière des jeux de données à notre disposition pour la résolution du problème de prédiction des intérêts futurs et de leurs caractéristiques, une vue d’ensemble, non exhaustive, des algorithmes pouvant être utilisés pour la résolution de ce problème, et la mise au point de métriques permettant d’évaluer la performance de ces algorithmes sur nos jeux de données. Ce chapitre se clôt sur les défis que l’on peut rencontrer lors de la conception d’algorithmes permettant de résoudre le problème de la prédiction des intérêts futurs en finance, défis qui seront, en partie, résolus dans les chapitres suivants ;- Le chapitre 2 compare une partie des algorithmes introduits dans le chapitre 1 sur un jeu de données provenant de BNP Paribas CIB, et met en avant les difficultés rencontrées pour la comparaison d’algorithmes de nature différente sur un même jeu de données, ainsi que quelques pistes permettant de surmonter ces difficultés. Ce comparatif met en pratique des algorithmes de recommandation classiques uniquement envisagés d’un point de vue théorique au chapitre précédent, et permet d’acquérir une compréhension plus fine des différentes métriques introduites au chapitre 1 au travers de l’analyse des résultats de ces algorithmes ;- Le chapitre 3 introduit un nouvel algorithme, Experts Network, i.e., réseau d’experts, conçu pour résoudre le problème de l’hétérogénéité de comportement des investisseurs d’un marché donné au travers d’une architecture de réseau de neurones originale, inspirée de la recherche sur les mélanges d’experts. Dans ce chapitre, cette nouvelle méthodologie est utilisée sur trois jeux de données distincts : un jeu de données synthétique, un jeu de données en libre accès, et un jeu de données provenant de BNP Paribas CIB. Ce chapitre présente aussi en plus grand détail la genèse de l’algorithme et fournit des pistes pour l’améliorer ;- Le chapitre 4 introduit lui aussi un nouvel algorithme, appelé History-augmented collaborative filtering, i.e., filtrage collaboratif augmenté par historiques, qui proposes d’augmenter les approches de factorisation matricielle classiques à l’aide des historiques d’interaction des clients et produits considérés. Ce chapitre poursuit l’étude du jeu de données étudié au chapitre 2 et étend l’algorithme introduit avec de nombreuses idées. Plus précisément, ce chapitre adapte l’algorithme de façon à permettre de résoudre le problème du cold start, i.e., l’incapacité d’un système de recommandation à fournir des prédictions pour de nouveaux utilisateurs, ainsi qu’un nouveau cas d’application sur lequel cette adaptation est essayée ;- Le chapitre 5 met en lumière une collection d’idées et d’algorithmes, fructueux ou non, qui ont été essayés au cours de cette thèse. Ce chapitre se clôt sur un nouvel algorithme mariant les idées des algorithmes introduits aux chapitres 3 et 4 Anticipating clients’ needs is crucial to any business — this is particularly true for corporate and institutional banks such as BNP Paribas Corporate and Institutional Banking due to their role in the financial markets. This thesis addresses the problem of future interests prediction in the financial context and focuses on the development of ad hoc algorithms designed for solving specific financial challenges.This manuscript is composed of five chapters:- Chapter 1 introduces the problem of future interests prediction in the financial world. The goal of this chapter is to provide the reader with all the keys necessary to understand the remainder of this thesis. These keys are divided into three parts: a presentation of the datasets we have at our disposal to solve the future interests prediction problem and their characteristics, an overview of the candidate algorithms to solve this problem, and the development of metrics to monitor the performance of these algorithms on our datasets. This chapter finishes with some of the challenges that we face when designing algorithms to solve the future interests problem in finance, challenges that will be partly addressed in the following chapters;- Chapter 2 proposes a benchmark of some of the algorithms introduced in Chapter 1 on a real-word dataset from BNP Paribas CIB, along with a development on the difficulties encountered for comparing different algorithmic approaches on a same dataset and on ways to tackle them. This benchmark puts in practice classic recommendation algorithms that were considered on a theoretical point of view in the preceding chapter, and provides further intuition on the analysis of the metrics introduced in Chapter 1;- Chapter 3 introduces a new algorithm, called Experts Network, that is designed to solve the problem of behavioral heterogeneity of investors on a given financial market using a custom-built neural network architecture inspired from mixture-of-experts research. In this chapter, the introduced methodology is experimented on three datasets: a synthetic dataset, an open-source one and a real-world dataset from BNP Paribas CIB. The chapter provides further insights into the development of the methodology and ways to extend it;- Chapter 4 also introduces a new algorithm, called History-augmented Collaborative Filtering, that proposes to augment classic matrix factorization approaches with the information of users and items’ interaction histories. This chapter provides further experiments on the dataset used in Chapter 2, and extends the presented methodology with various ideas. Notably, this chapter exposes an adaptation of the methodology to solve the cold-start problem and applies it to a new dataset;- Chapter 5 brings to light a collection of ideas and algorithms, successful or not, that were experimented during the development of this thesis. This chapter finishes on a new algorithm that blends the methodologies introduced in Chapters 3 and 4

APA, Harvard, Vancouver, ISO, and other styles

Калініченко, А. О. "Зовнішня торгівля послугами як чинник активізації економічного розвитку Одеського регіону". Thesis, Одеський національний економічний університет, 2021. http://local.lib/diploma/Kalinichenko.pdf.

Full text

Abstract:

Доступ до роботи тільки на території бібліотеки ОНЕУ, для переходу натисніть на посилання нижче У роботі розглядаються теоретичні аспекти особливостей зовнішньої торгівлі послугами регіону і їх значення для регіону і країни в цілому, визначено вплив позитивних і негативних чинників на економіку і зовнішню торгівлю послугами регіону та розглянуто методи аналізу регіональної зовнішньої торгівлі послугами, також визначено її вплив на регіональний економічний розвиток. Проаналізовано зовнішньоекономічну торгівлю послугами Одеського регіону, наведено SWOT - аналіз впливу чинників, що сприяють та заважають здійсненню зовнішньої торгівлі послугами регіону. Виявлено географічну структуру і динаміку експорту і імпорту та проаналізовано вплив зовнішньої торгівлі на валовий регіональний продукт. Запропоновано напрями вдосконалення зовнішньої торгівлі послугами Одеського регіону, наведено приклади заходів, які має вжити влада задля вдосконалення зовнішньої торгівлі послугами Одеського регіону, зокрема шляхом підвищення кластеризації сектору туристичних послуг і диверсифікації зовнішньої торгівлі послугами регіону. Diploma thesis deals with theoretical aspects of foreign trade in regional services and their significance for the region and the country as a whole, identifies the impact of positive and negative factors on the economy and foreign trade in regional services and considers methods of analysis of regional foreign trade in services and identifies its impact on regional economic development. There was carried out an analysis of the foreign trade in services of the Odessa region, SWOT - analysis of the impact of factors that contribute to and hinder the implementation of foreign trade in services of the region is given. The geographical structure and dynamics of exports and imports are identified and the impact of foreign trade on gross regional product is analyzed. Thesis offers directions of foreign trade operating in the Odessa region improvement, suggests examples of governmental measures to improve foreign trade in services of the Odessa region, in particular through increasing the clustering of the services sector and diversification of foreign trade in services of the region.

APA, Harvard, Vancouver, ISO, and other styles

Jones, Jesse Jack. "Effects of Non-homogeneous Population Distribution on Smoothed Maps Produced Using Kernel Density Estimation Methods." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc699888/.

Full text

Abstract:

Understanding spatial perspectives on the spread and incidence of a disease is invaluable for public health planning and intervention. Choropleth maps are commonly used to provide an abstraction of disease risk across geographic space. These maps are derived from aggregated population counts that are known to be affected by the small numbers problem. Kernel density estimation methods account for this problem by producing risk estimates that are based on aggregations of approximately equal population sizes. However, the process of aggregation often combines data from areas with non-uniform spatial and population characteristics. This thesis presents a new method to aggregate space in ways that are sensitive to their underlying risk factors. Such maps will enable better public health practice and intervention by enhancing our ability to understand the spatial processes that result in disparate health outcomes.

APA, Harvard, Vancouver, ISO, and other styles

Harmel, Ghassen. "Vers une conception conjointe des architectures du produit et de l'organisation du projet dans le cadre de l'Ingénierie Système." Phd thesis, Université de Franche-Comté, 2007. http://tel.archives-ouvertes.fr/tel-00206133.

Full text

Abstract:

Lorsqu'une entreprise prend la décision stratégique de lancer une nouvelle famille de produits ou de reconcevoir un produit existant, l'architecte système a pour mission de concevoir ou de faire évoluer l'architecture de ce produit. L'architecte joue aussi le rôle de chef de projet et doit concevoir ou faire évoluer en même temps, l'organisation du projet pour la rendre plus performante. Dans ce mémoire, notre objectif est de développer des modèles et méthodes permettant d'aider les architectes système dans cette double activité. Dans le cadre de l'Ingénierie Système, notre méthode se base sur la définition de nos propres concepts d'architecture et de conception modulaire pour les étendre à la définition de l'architecture de l'organisation du projet. Nous proposons ensuite en cohérence avec notre positionnement, un algorithme de clustering utilisant l'outil DSM comme méthode de représentation, cet algorithme a pour fonction de révéler l'architecture d'un domaine en partant de sa représentation matricielle (DSM). L'application de notre méthode de développement des architectures est liée aux quatre situations de conception identifiées. Pour chacune de ces situations, nous proposons une méthode de conception des architectures, faisant appel à un traitement flou et/ou à des opérations matricielles. Chacune de ces situations est ensuite illustrée par une application à la conception d'un moteur thermique dans l'industrie automobile. La démarche présentée dans ce chapitre est une vision statique de la conception des architectures. Face cette vision statique, nous montrons la nécessité de faire « coévoluer » les architectures couplées. Nous proposons alors l'exploration des incertitudes comme méthode pour suivre l'évolution des systèmes (perturbations) étudiés. Nous développons une méthode basée sur un traitement flou pour faire coévoluer les architectures perturbées et pour les rendre cohérentes.

APA, Harvard, Vancouver, ISO, and other styles

Gao, Haifei. "Chemical biology approaches to study toxin clustering and lipids reorganization in Shiga toxin endocytosis." Thesis, Sorbonne Paris Cité, 2015. http://www.theses.fr/2015USPCB147.

Full text

Abstract:

La toxine bactérienne de Shiga se lie au glycosphingolipide (GSL) globotriaosylcéramide (Gb3) afin d’entrer par endocytose dans les cellules en utilisant une voie dépendante et indépendante de la clathrine. Dans la voie indépendante de la clathrine, la toxine de Shiga réorganise les lipides de la membrane de façon à imposer une contrainte mécanique sur la bicouche, conduisant ainsi à la formation de pic d’invagination d'endocytose profonds et étroits. Mécaniquement ce phénomène n’est pas encore compris, notamment il reste énigmatique, comment se traduisent les propriétés géométriques de l’agrégation des glycosphingolipides GSLS et de la toxine. Dans mon travail de thèse, via l’utilisation de la sous-unité B de la toxine de Shiga (STxB) comme un modèle, différentes espèces moléculaires de son récepteur Gb3 ont été synthétisés avec des structures délibérément choisis. Les études réalisées par imagerie de haute résolution et par la modélisation informatique ont permis d’élucider les contraintes mécano-chimique sous-jacente conduisant à une réorganisation efficace qui a pour résultat l’agrégation de la toxine et la réorganisation des lipides. En combinant des expériences de simulation sur ordinateur de dynamique des particules dissipatives (DPD) et des expériences sur des modèles de membranes cellulaires, nous avons fourni la preuve de l’induction d’une force de fluctuation-membrane, de type « force de Casimir », conduisant à l'agrégation des molécules de toxines associées à la membrane à des échelles de longueur mésoscoiques. Nous avons observé et mesuré, en outre la condensation lipidique induite par la toxine, quantitativement sur des monocouches de Langmuir en utilisant la réflectivité des rayons X (XR) et par la mesure de la diffraction des rayons X par incidence rasante (GIXD), fournissant ainsi une preuve directe de l'hypothèse que la toxine a le potentiel de réduire de façon asymétrique la surface moléculaire sur la partie membranaire exoplasmique, ce qui conduit à une déformation locale de la membrane. Durant ma thèse, nos efforts ont été consacrés à la réalisation de nouveaux glycosphinolipides (GSL) comme outils chimiques à visée biologique. Par ailleurs, une nouvelle stratégie de reconstitution de GSL fonctionnels sur la membrane cellulaire, basée sur une réaction de ligation de type « click » entre un glycosyl-cyclooctyne et un azido-sphingosine a été étudiée. Les résultats obtenus sur les cellules se sont avérés beaucoup moins efficace que ceux in vitro. Une poursuite de l'optimisation de cette méthodologie est actuellement en cours. Une sonde fluorescente du glycosphinolipide Gb3, marquée à l’Alexa Fluor 568 lui-même lié par l'intermédiaire d'un bras PEG-α à la position de la chaîne acyle, a été synthétisée. Cette sonde se lie à la STxB sur couche mince de TLC, mais pas sur des membranes modèles. D'autres améliorations sont discutées Bacterial Shiga toxins bind to the glycosphingolipid (GSL) globotriaosylceramide (Gb3) to enter cells by clathrin-dependent and independent endocytosis. In the clathrin-independent pathway, Shiga toxin reorganizes membrane lipids in a way such as to impose mechanical strain onto the bilayer, thus leading to the formation of deep and narrow endocytic pits. Mechanistically how this occurs is not yet understood, and notably how the geometric properties of toxin-GSLs complexes translate into function has remained enigmatic. In my thesis work, using the B-subunit of Shiga toxin (STxB) as a model, different molecular species of its receptor Gb3 have been synthesized with deliberately chosen structures, coupled with high resolution imaging and computational modeling, to understand the underlying mechano-chemical constraints leading to efficient toxin clustering and lipids reorganization. By combining dissipative particle dynamics (DPD) computer simulation and experiments on cell and model membranes, we provided evidence that a membrane fluctuation-induced force, termed Casimir-like force, drives the aggregation of tightly membrane-associated toxin molecules at mesoscopic length scales. Furthermore, toxin-induced lipid condensation was observed and measured quantitatively on Langmuir monolayers using X-ray reflectivity (XR) and grazing incidence x-ray diffraction (GIXD), thereby providing direct evidence for the hypothesis that the toxin has the potential to asymmetrically reduce the molecular area of the exoplasmic membrane leaflet, leading to local membrane deformation. During my PhD, effort was also invested to develop new GSL tools applied to the biological setting. A novel strategy based on the Cu-free click reaction between glycosyl-cyclooctyne and azido-sphingosine was designed with the goal to functionally incorporate GSLs into cellular membranes. Following the synthesis work, click reactions have been performed in solution and on cells. Compared to the former, results on cells were far less efficient. Further optimization is currently ongoing. A fluorescently labeled Gb3 probe with Alexa Fluor 568 coupled via a PEG linker to the α-position of the acyl chain, was synthesized, to which STxB bound on TLCs, but not on model membranes. Further improvements are discussed

APA, Harvard, Vancouver, ISO, and other styles

Mehmood, Yasir. "Modeling the roles of individuals and groups in the dynamics of information propagation." Doctoral thesis, Universitat Pompeu Fabra, 2016. http://hdl.handle.net/10803/393728.

Full text

Abstract:

This thesis studies the roles of individuals and groups in the propagation of information in social networks. The primary aim is to investigate how users and groups impact information propagation and vice versa. In order to study these complex and intricate phenomena, we apply tools and techniques from both machine learning and data mining. Our research results in interesting developments while pursuing our goals. First, we propose a novel modeling framework that we call as the communitylevel social in uence analysis (CSI). CSI enables estimating in uence probabilities at a macro-level, between user groups, while extending and generalizing the existing prediction frameworks that only work at the level of users. Next, we propose a stochastic model, called MASD, to capture the evolving patterns of the adoption of innovations. While inspired by the theory of di usion of innovations, MASD uses left-right HMMs to model the underlying phenomena we aim to study. The simplicity as well as the robustness of this model has allowed us to build a variety of applications, from clustering items to analyzing propagation patterns, and above all, the prediction of future adoptions. Lastly, we propose a creative algorithmic problem where our aim is to obtain the sphere of in uence of a node. Working with probabilistic graphs, we de ne this sphere, corresponding to a node, as a group of nodes that potentially catch a contagion if the underlying node is infected. Computing the sphere of in uence for all the nodes and combining it with an instance of set-cover greedy algorithm, we propose a unique approach to in uence maximization (Inf- Max). Through exhaustive experimentations we show that our method consistently outperforms the standard greedy algorithm for InfMax. Esta tesis estudia los roles que, tanto individuos como grupos de individuos, desempeñan en la propagación de información en redes sociales. El objetivo primario es investigar el impacto de usuarios y grupos de usuarios en la propagación de información y viceversa. Para estudiar estos fenómenos, de gran complejidad, aplicamos herramientas y técnicas de aprendizaje máquina y minería de datos. Nuestra investigación ha dado como resultado desarrollos muy interesantes que satisfacen nuestros objetivos. En primer lugar, se propone una plataforma innovadora de modelización que denominamos Análisis de la Influencia Social a nivel de Comunidad (Community-level Social Influence Analysis - CSI). CSI permite estimar probabilidades de influencia en un macro-nivel, entre grupos de usuario, al mismo tiempo que extiende y generaliza las plataformas de predicción existentes que sólo trabajan a nivel de usuario. En segundo lugar, se ha desarrollado un modelo estocástico, llamado MASD, para capturar los patrones de evolución de la adopción de innovaciones. Inspirado en la teoria de difusión de innovaciones, MASD utiliza el modelo HMMs izquieda-derecha para representar los fenómenos subyacentes objeto de estudio. La simplicidad, así como la robustez de este modelo, nos han permitido construir una variedad de aplicaciones, desde elementos de clasificación hasta patrones de propagación, y sobre todo, la predicción de adopciones futuras. Finalmente, proponemos un problema algorítmico creativo donde nuestro objetivo es obtener la esfera de influencia de un nodo. Trabajando con grafos probabilísticos, definimos esta esfera, correspondiente a un nodo, como un grupo de nodos que potencialmente capturan un contagio si el nodo subyacente está infectado. Calculando la esfera de influencia para todos los nodos y combinándola con una instancia de un algoritmo goloso de cobertura, proponemos una aproximación única para influenciar la maximización (InfMax). A través de experimentos exhaustivas, podemos mostrar como nuestro método mejora consistentemente el algoritmo goloso estándar para InfMax. Aquesta tesi estudia els rols que, tant individus com a grups d'individus, exerceixen en la propagació d'informació en xarxes socials. L'objectiu primari és investigar l'impacte d'usuaris i grups d'usuaris en la propagació d'informació i viceversa. Per estudiar aquests fenómens, de gran complexitat, apliquem eines i técniques d'aprenentatge màquina i mineria de dades. La nostra investigació ha donat com resultat desenvolupaments molt interessants que satisfan els nostres objectius. En primer lloc, es proposa una plataforma innovadora de modelització que denominem Anàlisi de la Inuflència Social a nivell de Comunitat (Community-level Social Influence Analysis - CSI). CSI permet estimar probabilitats d'influència en un macronivell, entre grups d'usuari, al mateix temps que estén i generalitza les plataformes de predicció existents que només treballen a nivell d'usuari. En segon lloc, s'ha desenvolupat un model estocàstic, anomenat MASD, per capturar els patrons d'evolució de l'adopció d'innovacions. Inspirat en la teoria de difusió d'innovacions, MASD utilitza el model HMMs izquierda-dreta per representar els fenómens subjacents objecte d'estudi. La simplicitat, així com la robustesa d'aquest model, ens han permés construir una varietat d'aplicacions, des d'elements de classificació fins a patrons de propagació, i sobretot, la predicció d'adopcions futures. Finalment, proposem un problema algorítmic creatiu on el nostre objectiu és obtenir l'esfera d'influència d'un node. Treballant amb gràfics probabilístics, definim aquesta esfera, corresponent a un node, com un grup de nodes que potencialment capturen un contagi si el node subjacent està infectat. Computant l'esfera d'influència per a tots els nodes i combinant-la amb una instància d'un algorisme voraç de cobertura, proposem una aproximació única per influenciar la maximització (InfMax). A través d'experimentacions exhaustives, podem mostrar com el nostre mètode millora consistentment l'algorisme voraç estàndard per InfMax.

APA, Harvard, Vancouver, ISO, and other styles

Bonjour, Eric. "Contributions à l'instrumentation du métier d'architecte système : de l'architecture modulaire du produit à l'organisation du système de conception." Habilitation à diriger des recherches, Université de Franche-Comté, 2008. http://tel.archives-ouvertes.fr/tel-00348034.

Full text

Abstract:

Ce mémoire constitue une synthèse de nos activités de recherche, d'animation scientifique, d'enseignement et de responsabilité pédagogique entre 1998 et 2008. Depuis une dizaine d'années, les concepteurs de systèmes mécatroniques doivent satisfaire des exigences de plus en plus sévères et nombreuses. Pour cela, ils doivent créer des solutions qui tendent à se complexifier, pour porter de multiples fonctions de service ou intégrer les dernières technologies innovantes. La conception d'un système mécatronique passe par la conception architecturale qui réalise l'identification de l'architecture du système. Cette activité requiert l'implication d'un métier émergent et stratégique : l' "architecte système". En même temps que l'ingénierie technique, l'architecte système doit assurer l'ingénierie organisationnelle de la conception, c'est-à-dire, définir une organisation adéquate du système de conception. Ce double rôle est critique lors de la phase de conception préliminaire, car les décisions prises auront un impact fort sur les performances de l'ensemble du projet. La finalité de nos travaux est de développer des modèles, méthodes et outils d'aide à la décision permettant de supporter les activités à la fois technique et organisationnelle d'un architecte système. L'originalité majeure de notre projet réside dans le couplage que nous recherchons entre les architectures du système-produit, du système-projet et du système de compétences de conception. Nous avons structuré nos contributions selon trois thématiques et répondu aux questions suivantes : T1 - Identification d'une architecture modulaire du produit : comment identifier une architecture modulaire ? Comment modéliser l'architecture d'une famille de produits et générer la diversité ? T2 - Organisation du système de conception : comment constituer des équipes compétentes ? Comment piloter les systèmes de compétences ? T3 - Co-conception des architectures produit-projet : Comment propager des évolutions des modules du produit vers l'organisation du système de conception ? Comment coupler l'architecture du produit et l'organisation du système de conception ? Des perspectives sont proposées propres aux deux thématiques majeures de notre projet (T1 et T2), ainsi que quatre extensions possibles : 1) Vers une conception collaborative consciente, 2) Vers une performance durable du système de conception, 3) Vers un système agile de systèmes de conception, 4) Vers une conception intégrée de systèmes micro-mécatroniques.

APA, Harvard, Vancouver, ISO, and other styles

Yahyaoui, Hasna. "Méthode d'analyse de données pour le diagnostic a posteriori de défauts de production - Application au secteur de la microélectronique." Thesis, Saint-Etienne, EMSE, 2015. http://www.theses.fr/2015EMSE0795/document.

Full text

Abstract:

La maîtrise du rendement d’un site de fabrication et l’identification rapide des causes de perte de qualité restent un défi quotidien pour les industriels, qui font face à une concurrence continue. Dans ce cadre, cette thèse a pour ambition de proposer une démarche d’analyse permettant l’identification rapide de l’origine d’un défaut, à travers l’exploitation d’un maximum des données disponibles grâce aux outils de contrôle qualité, tel que la FDC, la métrologie, les tests paramétriques PT, et le tri électriques EWS. Nous avons proposé une nouvelle méthode hybride de fouille de données, nommée CLARIF, qui combine trois méthodes de fouille de données à savoir, le clustering, les règles d’association et l’induction d’arbres de décision. Cette méthode se base sur la génération non supervisée d’un ensemble de modes de production potentiellement problématiques, qui sont caractérisés par des conditions particulières de production. Elle permet, donc, une analyse qui descend au niveau des paramètres de fonctionnement des équipements. L’originalité de la méthode consiste dans (1) une étape de prétraitement pour l’identification de motifs spatiaux à partir des données de contrôle, (2) la génération non supervisée de modes de production candidats pour expliquer le défaut. Nous optimisons la génération des règles d’association à travers la proposition de l’algorithme ARCI, qui est une adaptation du célèbre algorithme de fouille de règles d’association, APRIORI, afin de permettre d’intégrer les contraintes spécifiques à la problématique de CLARIF, et des indicateurs de qualité de filtrage des règles à identifier, à savoir la confiance, la contribution et la complexité. Finalement, nous avons défini un processus d’Extraction de Connaissances à partir des Données, ECD permettant de guider l’utilisateur dans l’application de CLARIF pour expliquer une perte de qualité locale ou globale Controlling the performance of a manufacturing site and the rapid identification of quality loss causes remain a daily challenge for manufacturers, who face continuing competition. In this context, this thesis aims to provide an analytical approach for the rapid identification of defect origins, by exploring data available thanks to different quality control systems, such FDC, metrology, parametric tests PT and the Electrical Wafer Sorting EWS. The proposed method, named CLARIF, combines three complementary data mining techniques namely clustering, association rules and decision trees induction. This method is based on unsupervised generation of a set of potentially problematic production modes, which are characterized by specific manufacturing conditions. Thus, we provide an analysis which descends to the level of equipment operating parameters. The originality of this method consists on (1) a pre-treatment step to identify spatial patterns from quality control data, (2) an unsupervised generation of manufacturing modes candidates to explain the quality loss case. We optimize the generation of association rules through the proposed ARCI algorithm, which is an adaptation of the famous association rules mining algorithm, APRIORI to integrate the constraints specific to our issue and filtering quality indicators, namely confidence, contribution and complexity, in order to identify the most interesting rules. Finally, we defined a Knowledge Discovery from Databases process, enabling to guide the user in applying CLARIF to explain both local and global quality loss problems

APA, Harvard, Vancouver, ISO, and other styles

Frauger-Ousset, Elisabeth. "Détournement d'usage de médicaments psychoactifs : développement d'une approche pharmacoépidémiologique." Thesis, Aix-Marseille 2, 2010. http://www.theses.fr/2010AIX20667.

Full text

Abstract:

Ce travail présente le développement d’une nouvelle approche pharmacoépidémiologique, reposant sur les bases de données de l'assurance maladie, permettant de caractériser et d’estimer le détournement d’usage de médicaments psychoactifs. Cette approche utilisant la méthode de classification, regroupe, a posteriori, les sujets en différents sous-groupes, menant à l’identification, la caractérisation et la quantification de différents profils de comportement dont le comportement déviant. Nous avons appliqué cette méthode sur plusieurs médicaments. Pour chaque médicament, nous avons inclus l'ensemble des sujets affiliés au régime général des régions PACA et Corse ayant eu un remboursement. Leurs délivrances ont été suivies sur 9 mois. Après une analyse descriptive, une méthode de classification est appliquée, suivie d’une analyse des différents sous-groupes.Un premier travail a permis de confirmer l'importance du détournement d'usage d'une molécule émergente, le clonazépam (publication n°1). Ensuite nous avons adapté notre méthode afin de pouvoir suivre l'évolution sur plusieurs années de ce détournement (publication n°2). Nous avons appliqué cette méthode pour souligner l’existence, sur plusieurs années, du détournement d'usage du méthylphénidate (publication n°3). Notre équipe avait également développé une autre méthode pour estimer la polyprescription (publication n°4). Enfin, nous avons appliqué de façon conjointe ces deux méthodes (publication n°5). La méthode de classification est de plus en plus utilisée afin de surveiller l'évolution du détournement d'usage de médicaments et commencent à être intégrés au système français de surveillance de l’abus de médicament.aux cotés des autres outils pharmacoépidémiologiques plus traditionnels (OSIAP, OPPIDUM, OPEMA, ASOS, DRAMES) This work presents the development of a new pharmacoepidemiologic method. This methodallows to estimate abuse of psychoactive prescription drugs in real life using prescriptiondatabase. The method is based on a cluster analysis which is a statistical method used todetermine, a posteriori, different subgroups of subjects. According the subgroups’characteristics, we can determine and estimate different behaviours whose subjects with adeviant behaviour. It assesses the rate of subjects with a deviant behaviour among all thesubjects that obtain the drug from a pharmacy.We used this method on several prescription drugs. For each prescription drug, we includedall individuals, affiliated to the French health reimbursement system of two southern Franceareas (Provence-Alpes-Côte-d’Azur and Corsica), who have had a prescription drugreimbursed during the first weeks of the year. Their deliveries have been monitored over a 9month-period. After a descriptive analysis, a clustering method has been used. The fourquantitative variables used to establish profiles of consumers were : number of differentprescribers, number of different pharmacies, number of dispensings and quantity dispensed(DDD). Finally, the characteristics of different subgroups have been presented, especiallythose with a deviant behavior.The first study using this method allows to confirm and assess the magnitude of the abuseliability of an emerging prescription drug as clonazepam (publication n°1). Then we adapt thismethod in order to follow the abuse evolution during several years. In the second publicationon clonazepam, we identified that the proportion of deviant subjects has increased between2001 and 2006 (from 0.86% to 1.38%). We also applied this method to estimatemethylphenidate abuse during several years (from 2005 to 2008) (publication n°3).Methylphenidate abuse is already describe in other countries whereas few data are available inFrance. This study estimates the proportion of subjects with a deviant behaviour (from 0.5%9in 2005 and in 2006 to 2.0% in 2007 and 1.2% in 2008) and assesses its evolution since theapplication of a specific regulation.Our research team has also developed an other method using prescription database : thedoctor shopping indicator which measures the quantity obtained by doctor shopping amongthe overall quantity reimbursed (publication n°4). The objective of the last publication is toanalyze and compare results from those two methods applied to High Dosage Buprenorphine,a product well-known to be diverted in France.Actually, clustering method is more and more used on prescription drugs in order to assesstheir abuse. The results obtained by this method begin to be included in the other postmarketing surveillance of CNS drugs (OSIAP, OPPIDUM, OPEAM, ASOS, DRAMES)which are used by French public health authorities

APA, Harvard, Vancouver, ISO, and other styles

Hameed, Khurram. "Computer vision based classification of fruits and vegetables for self-checkout at supermarkets." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2022. https://ro.ecu.edu.au/theses/2519.

Full text

Abstract:

The field of machine learning, and, in particular, methods to improve the capability of machines to perform a wider variety of generalised tasks are among the most rapidly growing research areas in today’s world. The current applications of machine learning and artificial intelligence can be divided into many significant fields namely computer vision, data sciences, real time analytics and Natural Language Processing (NLP). All these applications are being used to help computer based systems to operate more usefully in everyday contexts. Computer vision research is currently active in a wide range of areas such as the development of autonomous vehicles, object recognition, Content Based Image Retrieval (CBIR), image segmentation and terrestrial analysis from space (i.e. crop estimation). Despite significant prior research, the area of object recognition still has many topics to be explored. This PhD thesis focuses on using advanced machine learning approaches to enable the automated recognition of fresh produce (i.e. fruits and vegetables) at supermarket self-checkouts. This type of complex classification task is one of the most recently emerging applications of advanced computer vision approaches and is a productive research topic in this field due to the limited means of representing the features and machine learning techniques for classification. Fruits and vegetables offer significant inter and intra class variance in weight, shape, size, colour and texture which makes the classification challenging. The applications of effective fruit and vegetable classification have significant importance in daily life e.g. crop estimation, fruit classification, robotic harvesting, fruit quality assessment, etc. One potential application for this fruit and vegetable classification capability is for supermarket self-checkouts. Increasingly, supermarkets are introducing self-checkouts in stores to make the checkout process easier and faster. However, there are a number of challenges with this as all goods cannot readily be sold with packaging and barcodes, for instance loose fresh items (e.g. fruits and vegetables). Adding barcodes to these types of items individually is impractical and pre-packaging limits the freedom of choice when selecting fruits and vegetables and creates additional waste, hence reducing customer satisfaction. The current situation, which relies on customers correctly identifying produce themselves leaves open the potential for incorrect billing either due to inadvertent error, or due to intentional fraudulent misclassification resulting in financial losses for the store. To address this identified problem, the main goals of this PhD work are: (a) exploring the types of visual and non-visual sensors that could be incorporated into a self-checkout system for classification of fruits and vegetables, (b) determining a suitable feature representation method for fresh produce items available at supermarkets, (c) identifying optimal machine learning techniques for classification within this context and (d) evaluating our work relative to the state-of-the-art object classification results presented in the literature. An in-depth analysis of related computer vision literature and techniques is performed to identify and implement the possible solutions. A progressive process distribution approach is used for this project where the task of computer vision based fruit and vegetables classification is divided into pre-processing and classification techniques. Different classification techniques have been implemented and evaluated as possible solution for this problem. Both visual and non-visual features of fruit and vegetables are exploited to perform the classification. Novel classification techniques have been carefully developed to deal with the complex and highly variant physical features of fruit and vegetables while taking advantages of both visual and non-visual features. The capability of classification techniques is tested in individual and ensemble manner to achieved the higher effectiveness. Significant results have been obtained where it can be concluded that the fruit and vegetables classification is complex task with many challenges involved. It is also observed that a larger dataset can better comprehend the complex variant features of fruit and vegetables. Complex multidimensional features can be extracted from the larger datasets to generalise on higher number of classes. However, development of a larger multiclass dataset is an expensive and time consuming process. The effectiveness of classification techniques can be significantly improved by subtracting the background occlusions and complexities. It is also worth mentioning that ensemble of simple and less complicated classification techniques can achieve effective results even if applied to less number of features for smaller number of classes. The combination of visual and nonvisual features can reduce the struggle of a classification technique to deal with higher number of classes with similar physical features. Classification of fruit and vegetables with similar physical features (i.e. colour and texture) needs careful estimation and hyper-dimensional embedding of visual features. Implementing rigorous classification penalties as loss function can achieve this goal at the cost of time and computational requirements. There is a significant need to develop larger datasets for different fruit and vegetables related computer vision applications. Considering more sophisticated loss function penalties and discriminative hyper-dimensional features embedding techniques can significantly improve the effectiveness of the classification techniques for the fruit and vegetables applications.

APA, Harvard, Vancouver, ISO, and other styles

Cheng, Ko-Chen, and 鄭克誠. "Sustainable Product Development Considering Product Portfolio Planing and Components Clustering." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/94148761688006515592.

Full text

Abstract:

碩士 國立清華大學 工業工程與工程管理學系 100 Many countries have enforced various environmental protection directives to respond to the recent awareness of sustainable development. The goal is to reduce the environmental impacts induced by the products imported to those countries. An effective means is to consider the impacts of the subsequent lifecycle activities at early design stages. This applies the concept of concurrent engineering to sustainable product development. Our past study proposed a concurrent approach to sustainable product design by varying the product architecture to reduce carbon footprint generated during the product lifecycle. Focusing on product planning, this work develops a quantitative decision making tool that minimizes the product development costs considering a given environmental constraint. The tool determines an optimal product portfolio by varying component selection, material, assembly sequence, and supplier selection with computer aided design technologies. The manufacturing BOM for each product is specified in the portfolio. Tabu Search is used to generate an optimal assembly plan. Genetic Algorithm is applied to optimally assign manufacturing tasks to suppliers, who involve different fixed development costs and transportation costs. In addition, component clustering is conducted to facilitate product modularization for reducing environmental impacts. This research adopts a cradle to gate approach in lifecycle assessment based on local lifecycle inventory data. The proposed methods help make ecological decisions at the product planning stage.

APA, Harvard, Vancouver, ISO, and other styles

Tsai, Chia-Lun, and 蔡佳倫. "The Integrated Analysis Evaluation Model of Product Design and Product Clustering." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/21620660492438014743.

Full text

Abstract:

碩士 元智大學 工業工程與管理學系 105 Because the production technology breaks through unceasingly, Major brands developed the range of products on the market, therefore the area separates in the market the diverse product shape design and the functional design, so as to develops conforms to the product which the consumer likes, simultaneously promotes the product the value to be able to reduce the correlation production cost. This study is divided into three stages：first stage is collection the products information and adjective vocabulary, quantitative analysis products shape give consumers feel of different, using clustering analysis for perceptual shape design clustering, and discussion its products features and perceptual vocabulary of relationship, to proposed perceptual styling design cluster of portfolio while, discussion the program satisfaction degrees; second stage is the use of hedonic pricing method analyzes the product design features, the relationship between consumers and the value; the third stage carries on the product functional design cluster first, proposes the functional design cluster portfolio. The following consideration its design proposal combination limiting condition, carries on the design proposal combination the process planning and the assembly choice appraisal ,the design proposal combination value and the cost designs, discovers makes a profit the biggest perceptual modelling design and the function combination design proposal. Meets the consumer need to carry on the product design, Construction product clustering design decision-making design proposal combination profit maximization mathematical model, Carries on the solution using Particle Swarm Optimization, expected reduces the production correlation cost and enhances the consumer in the perceptual shape design value and the functional design value, extracts the best combination design proposal in the product clustering design.

APA, Harvard, Vancouver, ISO, and other styles

WU, JYUN-HENG, and 吳俊亨. "Clustering of Innovative Product Using Knowledge Concept Structure." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/yhe3us.

Full text

Abstract:

碩士 國立屏東大學 資訊管理學系碩士班 106 To-day virtual community becomes a platform for exchange information for community members to share their knowledge. This study aims to explore the differences of knowledge structures on innovative products using formal concept analysis. Data are collected from Mobil01 with 600 discussion records. The study is divided into 2 stages. First, the study compares the differences of knowledge structures of three innovative products, which presents three different kinds of new products. The comparison results are conducted as a previous study. Then in the second stage the study will employ a cluster method to re-classify and re-construct the three innovative products. However, there is no significant evidence to show proper clustering. Then clustering are conducted for each product and the results are show as follows.

APA, Harvard, Vancouver, ISO, and other styles

Lai, Hung-Wen, and 賴宏文. "Implementing Clustering Technique in Internet-Product Sales Promotion Strategies." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/87326194430776000970.

Full text

Abstract:

碩士 朝陽科技大學 工業工程與管理系碩士班 97 With the popularization of the Internet and the rapid development of the E-commerce market, more and more physical channels look for new business via the Internet and transfer the early physical business model into the Internet shopping. Therefore, online stores rely on outstanding product sales promotion strategies to catch consumers’ attention and increase their purchase opportunities. In this thesis, by using the customer RFM analysis model and product RFM analysis model, we transform the product history transaction data, provided by a 3C electronics online store, into the three-dimension product value. Then, we use Particle Swarm Optimization (PSO) to conduct product clustering at first and to verify that the clustered group characteristic is suitable for the presented promotion strategy in order to shorten the product-promotion decision time, raise the product-purchasing rate and get profits. Finally, based on the methodology, we establish the promotion strategy model which is suitable for different group characteristics of online shopping products.

APA, Harvard, Vancouver, ISO, and other styles

Alfira, Elsya Dhana, and 艾絲雅. "The Impact of Clustering and Product Variety on Seller's Decision." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/2775mk.

Full text

Abstract:

碩士 國立中央大學 工業管理研究所 106 When seller wants to open a new store in the market, he has to make several decisions to support his business, some of the important decisions are the position of his store and the number of product variety he wants to offer in order to earn profit as high as possible. In our everyday life, we commonly see a group of seller who sell the similar product in the same area. Usually, consumers are prefer to go to those kinds of area rather than the area that only provide one particular store because they don’t have to incur a lot of search costs since the location of the stores are close to each other. Within each stores, the seller will decide how many products to be sold. Some consumers are very fond of seeing several options of the products, while some of them might find it confusing to pick one among those options. To address those phenomenon related to the seller’s decision, we develop a model of consumer’s surplus to find the optimal location and number of product to offer which will give maximal profit. We use the model to analyze various cases related to the cluster and product variety effects. Based on the particular selected parameter settings, the result shows that cluster effect can increase consumer’s surplus such that the seller prefer to open the store next to the existing store to gain more consumers. While for the product variety, the result shows that there is a range of the optimal solution which implies that offering too many products will harm the seller while offering too few products will make the store less attractive for the consumers to make a purchase.

APA, Harvard, Vancouver, ISO, and other styles

HSIEH, YI-HSAING, and 謝怡翔. "Constructing Hierarchical Product Categories for E-commerce by Word Embedding and Clustering." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/a7s8xg.

Full text

Abstract:

碩士 朝陽科技大學 資訊工程系 106 The objective of the study is to generate the product hierarchical categories in e-commerce, particularly for e-commerce giants such as Taobao or Jingdong. For e-commerce websites the amount of products is huge, and a hierarchical structure is necessary for consumers to browse them. We find that there are two problems in the current websites: firstly, the hierarchy is shallow; there are often too many products in the same category, it is hard for a consumer browse them. Secondly, the hierarchy is constructed manually, when new products come, it is hard to update the hierarchy. Based on the product description analysis, it is possible to solve the problems. In this study, we will use the deep learning word embedding technology and clustering algorithm to construct a deeper product hierarchy automatically. The results will help the customers to choose products with a more clear structure and also help the e-commerce company to save the maintaining effort on the product hierarchy.

APA, Harvard, Vancouver, ISO, and other styles

Jin, Yi-Liang, and 金怡良. "Application of combined ICA and clustering algorithms with SVR for electronic product sales forecast." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/j358dp.

Full text

Abstract:

碩士 國立臺北科技大學 商業自動化與管理研究所 99 Sales prediction is an important issue for most enterprise in every industry. It will influence how many products need to be replenished and what price should be made. However, changes in the electronic industry are rapider than others, so forecasts are even more difficult, how to construct a good prediction model for electronic products is a very important thing. In this research, a sales forecasting model which combines independent component analysis(ICA)、clustering technique and support vector regression (SVR) forecasting method is proposed. First, use ICA to transform the input space composed of financial data into the feature space consisting of independent components (ICs) representing underlying information in the original input data, then use clustering to divides the dataset into clusters that assemble the periods with similar characteristics in same group, and choose the most representative group as the training sample to build the SVR model. A weekly sales data from a present leading computer company in Taiwan and a monthly sales data from a electronic company is used as illustrative example. The experimental results showed that the proposed combined clustering method can provide a promising forecasting result.

APA, Harvard, Vancouver, ISO, and other styles

Kuka, Josefine Frederike. "Personalization of product rankings in e-commerce." Master's thesis, 2019. http://hdl.handle.net/10362/71768.

Full text

Abstract:

Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics Consumers face a large number of choices while shopping online. Studies have shown, that they are already expecting to be targeted with content addressing their personal needs. In a web shop, products are presented as lists based on a selected category or as results of a product search. To support the users in their decision making, they can be provided with a personalized product ranking fitted to their current interests. In this piece of work, three levels of personalized product rankings are proposed: explicit personalization, cluster-based personalization and individualization. To estimate the potential effect of the personalization and its required effort, two prototypes for the second and third level are developed and evaluated. The prototypes are based on a previously existing non-personalized ranking, which ranks the products in descending order according to a sales prediction. The cluster-based prototype enhances this product ranking by determining customer clusters beforehand using both situative and behavioural data. The individualized product rankings rely on the combination of the ranking with a recommendation system realized as a matrix factorization. In doing so, the concept of learning to rank is considered. By evaluating the cluster-based and individualized prototype on a sampled data set in comparison to the non-personalized ranking, it is shown that the created personalized rankings are in fact closer to the users’ needs. Furthermore, a subjective evaluation confirms that the cluster-based rankings can reflect the users’ interests in a better way.

APA, Harvard, Vancouver, ISO, and other styles

"Model-based clustering with network covariates by combining a modified product partition model with hidden Markov random field." Thesis, 2012. http://library.cuhk.edu.hk/record=b5549146.

Full text

Abstract:

乘積型劃分模型最近被擴展為容許個體有協變量的隨機聚類模型，然而協變量受限與對個體性質的描述。隨著科技發展，於越來越多生物醫學或社會研究的聚類問題中，我們需要考慮聚類對象間兩兩關連的額外資料，如基因間的調節關係或人際關係中的社交網絡。為此我們提出一個基於模型的方法，綜合乘積型劃分模型的一種改型與隱馬可夫隨機場對有網絡和協變量信息的對象做聚類。統計推論以貝葉斯方法進行。模型計算以馬可夫鏈蒙地卡羅運算法則進行。為了使馬可夫鏈能更好地混和，使用循序分配合併分裂取樣器進行群體移動以減少困於區域性頂點的機會。 為了測試本文提出的新方法的聚類性能，我們在兩個合成數據集上進行了模擬實驗。該實驗涵括多種類型的應變量，協變量網絡結構。結果顯示該方法在大部分實驗條件下都具有高正確聚類率。我們還將此返法應用於兩個真實數據集。第一個真實數據集利用學術期刊間相互引用的信息幫助對學術期刊的分門別類。第二個真實數據集合併酵母中基因的表達、轉錄因子結合位點和基因間的調控網絡信息，已對基因做詳細的功能分類。這兩個基於真實數據的實驗都給出諸多有意義的結果。 The product partition model was recently extended for the covariate-dependent random partition of subjects, where the covariates are limited to properties of individual subjects. For many clustering problems in biomedical or social studies, we often have extra clustering information from the pairwise association among subjects, such as the regulatory relationship between genes or the social network among people. Here we propose a model-based method for clustering with network information by combining a modified product partition model with hidden Markov random field. The Bayesian approach is used for statistical inference. Markov Chain Monte Carlo algorithms are used to compute the model. In order to improve the mixing of the chain, the Sequentially-Allocated Merge-Split Sampler is adapted to perform group moves as an eort to lower the chance of trapping in local modes. The new method is tested on two synthesized data sets to evaluate its performance on different types of response variables, covariates and networks. The correct clustering rate is satisfactory under a wide range of conditions. We also applied this new method on two real data sets. The first real data set is the journal data, where the cross citation information among journals is used to groups journals to different categories. The second real data set involves the gene expression, motif binding and gene network of yeast, where the goal is to find detail gene functional groups. Both experiments yielded interesting results. Detailed summary in vernacular field only. Detailed summary in vernacular field only. Fung, Ling Hiu. Thesis (M.Phil.)--Chinese University of Hong Kong, 2012. Abstracts also in Chinese. Abstract --- p.i Acknowledgement --- p.iv Chapter 1 --- Introduction --- p.1 Chapter 2 --- Technical Background --- p.7 Chapter 2.1 --- Variable notation --- p.8 Chapter 2.2 --- Two exemplary models for the response variable --- p.10 Chapter 2.3 --- PPMx --- p.12 Chapter 2.3.1 --- PPM - definition and its equivalence to DPM --- p.12 Chapter 2.3.2 --- PPMx - extension with covariates --- p.15 Chapter 2.3.3 --- Posterior inference --- p.18 Chapter 2.4 --- HMRF --- p.19 Chapter 2.4.1 --- Definition --- p.19 Chapter 2.4.2 --- Constrained Dirichlet Process Mixture --- p.21 Chapter 3 --- Model-based Clustering with Network Covariates --- p.27 Chapter 3.1 --- Design of the model --- p.27 Chapter 3.2 --- The Bayesian MCNC model --- p.30 Chapter 3.3 --- MCMC computing --- p.31 Chapter 3.4 --- Performance evaluation criteria --- p.37 Chapter 4 --- Simulation study --- p.39 Chapter 4.1 --- Network --- p.39 Chapter 4.2 --- Covariates --- p.41 Chapter 4.3 --- The Phase model (M1) --- p.42 Chapter 4.4 --- The Normal model (M2) --- p.52 Chapter 4.5 --- Comparing correct clustering percentage and correct co-occurrence percentage --- p.62 Chapter 5 --- Real data --- p.68 Chapter 5.1 --- Journal cross-citation data --- p.68 Chapter 5.2 --- Gene Network of yeast data --- p.76 Chapter 6 --- Conclusions --- p.89 Chapter A --- p.91 Chapter A.1 --- Covariates --- p.91 Chapter A.1.1 --- Continuous covariates --- p.91 Chapter A.1.2 --- Categorical covariates --- p.94 Chapter A.1.3 --- Count covariates --- p.96 Chapter A.2 --- Phase model --- p.98 Chapter A.2.1 --- Prior specification --- p.99 Chapter A.2.2 --- Data generation --- p.99 Chapter A.2.3 --- Posterior estimation --- p.100 Chapter A.3 --- Normal model --- p.111 Chapter A.3.1 --- Prior specification --- p.111 Chapter A.3.2 --- Data generation --- p.112 Chapter A.3.3 --- Posterior estimation --- p.112 Chapter A.4 --- Journal dataset --- p.115

APA, Harvard, Vancouver, ISO, and other styles

Yeh, Mao-Hsiung, and 葉茂雄. "Develop a Customer Clustering Model Based on Green Consumer and Product Functionality Needs Using Wireless Broadband Router as an Example." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/e86bn2.

Full text

Abstract:

碩士 國立臺北科技大學 工業工程與管理系碩士班 100 In recent years, consumer electronics products are very competitive, and the consumers are getting increasingly environmental conscious. Thus, an analysis of customer needs is becoming more important as entrepreneurs try to understand the product functionality needs and green consumer needs for marketing their products. If entrepreneurs cannot satisfy different customer needs, businesses will run the risk of operating losses and falling market share. In view of wide range of customer needs, it will be a formidable challenge for businesses to create different market segments and formulate corresponding marketing strategies and product specifications that are targeted at different market segments, in their efforts to respond to fast changes in market demand. For this reason, this study uses Adaptive Resonance Theory II (ART 2) and Analytic Hierarchy Process (AHP) to establish a clustering model based on the green consumer and product functionality needs of respective customer clusters.

APA, Harvard, Vancouver, ISO, and other styles

Efimenko, Valeria. "Alternativní způsob měření rozvoje zemí." Master's thesis, 2018. http://www.nusl.cz/ntk/nusl-373020.

Full text

Abstract:

This thesis studies the relationship between GDP and Social Progress Index, components of social progress model and their dimensions. Using the dataset of 49 countries and Bayesian Model Averaging (BMA) and clustering analysis we found that there is not straight relationship between GDP and SPI. By testing 15 different models for each of 3 dimension (Basic Human Needs, Foundations of Wellbeing and Opportunity) of SPI we have found that the best variation of components would be to include all of them for each dimension. By using BMA approach we have found that the best model of SPI out of 12 components includes only intercept, tolerance and inclusion variables. The rest of components show quite low probability of inclusion, however, none of them showed 0 posterior probability. JEL Classification A13, C11, E01, I30, Keywords Kuznets, progress, SPI, GDP, BMA Author's e-mail valeria.e.efimenko@gmail.com Supervisor's e-mail daniel.vach@gmail.com

APA, Harvard, Vancouver, ISO, and other styles

Shun-bin, Jhuang, and 莊順斌. "A Product Appearance Inspection System Based On Modified Sobel Edge Detection And Density-Based Clustering Algorithm Taking Car-License Recognition As Example." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/21312940352322646640.

Full text

Abstract:

碩士 國立屏東科技大學 資訊管理系 93 License Plate Recognition（LPR）is a complex and important research issue. In this issue, there are many techniques and theories applied for solving this problem. For an image recognition system , edge detection is an extremely significant pre-processing step and thus we design a novel edge detection approach from modifying traditional Sobel edge detection method. The modified Sobel edge detection is suitable for processing images with colorful objects and backgrounds. Therefore, we develop a product appearance inspection system based on it. Moreover, we adopt density-based clustering algorithm to locate license plates. Notably, the modified Sobel edge detection and density-based clustering are the two main stages in this system. The proposed system structure makes our real-time vehicle license recognition system works quickly and efficiently. Through our experiments, this system has some obvious advantages as follows: (1) It operates with less resources than other structures. (2) It is easy to implement applications based on this framework.

APA, Harvard, Vancouver, ISO, and other styles

Beermann, Marcel. "Car-on-demand models : the understood value of car attributes in Germany." Master's thesis, 2020. http://hdl.handle.net/10400.14/31177.

Full text

Abstract:

As times changed, the automotive companies need to transform from a car producer to a mobility provider. A customer nowadays demands more than a plain car as a product. The customers desire a car as a service to be satisfied. One way to become a mobility provider and to offer the car as a service is the implementation of a Car-on-Demand service. This study will assess the understood value of car attributes in Germany for a newly developed Car-on-Demand Model. The research project was animated through one main research questions and several sub-questions to define the scope since this topic is complex in its nature. ‘The main research questions was: What are the most important attributes/features of a new CoD model, and what is the relative value of each component?’ The theoretical research exhausts vast literature and challenges in the automotive sector to understand changing consumer preferences for mobility. By using focus groups and surveys to collect primary data, the understood value of the attributes were calculated through a conjoint analysis. Later in the process, based on the respondents’ preferences, four consumer clusters were created. This dissertation concluded that the attributes pre-selected through the focus group are mostly relevant. Only the use of multiple cars within the package was disliked as well as an area limitation of the service. Differences in preferences could be identified through the clustering analysis. Como os tempos mudaram, as empresas automotivas precisam se transformar de um fabricante de automóveis para um provedor de mobilidade. Um cliente hoje exige mais do que um carro simples como um produto. Os clientes desejam um carro como um serviço para serem satisfeitos. Uma maneira de se tornar um provedor de mobilidade e oferecer o carro como serviço é a implementação de um serviço Car-on-Demand. Este estudo irá avaliar o valor compreendido dos atributos do carro na Alemanha para um modelo Car-on-Demand recentemente desenvolvido. O projeto de pesquisa foi animado através de uma das principais questões de pesquisa e várias sub-questões para definir o escopo, uma vez que este tópico é complexo em sua natureza. As principais questões de pesquisa foram: Quais são os atributos/características mais importantes de um novo modelo de CoD e qual é o valor relativo de cada componente". A pesquisa teórica esgota vasta literatura e desafios no setor automotivo para entender as mudanças nas preferências dos consumidores por mobilidade. Utilizando grupos focais e pesquisas para coletar dados primários, o valor compreendido dos atributos foi calculado através de uma análise conjunta. Posteriormente, com base nas preferências dos respondentes, foram criados quatro clusters de consumidores. Esta dissertação concluiu que os atributos pré-selecionados através do grupo-alvo são, em sua maioria, relevantes. Apenas o uso de vários carros dentro do pacote não foi apreciado, assim como uma limitação de área do serviço. As diferenças nas preferências puderam ser identificadas através da análise do clustering.

APA, Harvard, Vancouver, ISO, and other styles

Wang, Ling-hui, and 王鈴慧. "Price Analysis of Agricultural Products Using Functional Data Clustering." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/41313861919919389733.

Full text

Abstract:

碩士 國立臺灣科技大學 工業管理系 102 Understanding crop seasonal effect and price trend is an important decision making for customers, crop farmers, and retailers. This research applied functional data clustering method to analyze crop price trend and variation. 15-year Taiwan agriculture crop price data were collected. The time-series data was first converted to functional data and the smoothing method was applied to obtain the function to represent each price curve. Then, Principal Component Analysis (PCA) was used to investigate the variation among the 15-year data. The hierarchical clustering method integrating PCA was proposed to study (1) absolute price trend, (2) price variation pattern, and (3) variation pattern among 15-year. The clustering result of the proposed method was compared with the model-based clustering method which is also used to cluster crops by their price functional data. The experimental result shows that the proposed clustering method is able to obtain the smaller sum of square error (SSE) which means our method can obtain the more impact clusters. Besides, the dimension-reduction is studied to use the relatively smaller dataset to maintain the same clustering result. The clustering result of agriculture crop price data can be provided to crop customers for enhancing purchasing decision making. The food retailers can also use the clustering result to monitor the price variation and detect the possible abnormal price trend for better operation decision.

APA, Harvard, Vancouver, ISO, and other styles

Chang, Wen-Cheng, and 張文正. "Combining Clustering Algorithms and Machine Learning Techniques for Computer Products Sales Forecasting." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/44234697177556318346.

Full text

Abstract:

碩士 清雲科技大學 經營管理研究所 100 Sales forecasting is an important issue for most enterprise in every industry. It will influence how many products need to be replenished and what price should be made. However, changes in the electronic industry are rapider than others, so forecasts are even more difficult, how to construct a good prediction model for electronic products is a very important thing. In this research, sales forecasting models combining clustering techniques and machine learning approaches are proposed. In the proposed methods, first, the clustering techniques including SOM (Self-Organizing Map), GHSOM (Growing Hierarchical Self-Organizing Map) and K-means method are used to divides the dataset into clusters that assemble the periods with similar characteristics in same group, and then choose the most representative group as the training sample of machine leaning methods including SVR (Support Vector Regression) and ELM (Extreme Learning Machine) to build the forecasting model. The weekly sales data of NB, LCD and HD collected from a present leading computer company in Taiwan are used as illustrative examples. The experimental results showed that the proposed combined clustering-based forecasting scheme –GHSOM+ELM can provide promising forecasting results.

APA, Harvard, Vancouver, ISO, and other styles

Huang, Chang-Ming, and 黃建銘. "Using RFM Clustering and Association Rule to Products Rec-ommendation -A Case Study of Telemarketing." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/27290105905249949300.

Full text

Abstract:

碩士 中國文化大學 資訊管理研究所 98 With the growth of modern society, highly development of information technology, and the fast spread of the Internet, the keys to surpass are knowing , satisfying the cus-tomers, and increasing the royalty in highly competitive market. For an enterprise, to divide customers into groups by similar characteristics and to provide the merchandise combinations which meet the demand can increase customer satisfaction and royalty. Therefore the enterprise is able to capture maximum profit. The marketing and sales units are able to grab maximum benefit. This research takes the example of telemarketing industry who gives weight to the name list marketing. RFM is used to group the customers who are listed in the transac-tion database of telemarketing industry. It also takes the characteristic of the company into account and replaces M (purchase amount of money) with AvgM (Average pur-chase amount of money) in order to know the importance of new customers who have less purchase frequency and less purchase amount of money. After finding out the cus-tomers’ group which has similar purchasing pattern, we can target at similar purchasing pattern and utilize the association rules of data mining to dig out association rules. Then we can have the recommendation of merchandises. This research aims at different customer groups and recommends different mer-chandises. It not only provides telemarketing industry differentiation marketing for dif-ferent customer groups, but also provides telemarketing better conversation rate and in-crease the profit for telemarketing industry. In the same time, it can use more lists and increase the conversation numbers. Telemarketing industry won’t be limited by best customer groups.

APA, Harvard, Vancouver, ISO, and other styles

Πανδρεμένος, Ιωάννης. "Design methods for the control of products' design architecture." Thesis, 2010. http://nemertes.lis.upatras.gr/jspui/handle/10889/4147.

Full text

Abstract:

Objective of the present study is the development of design methods for the control of products’ architecture in order to obtain modular designs. Towards this target, an integrated approach is proposed, investigating the design architecture from two aspects: the -functions to parts- mapping as well as the point of view related to parts’ interactions. For the first aspect, an approach utilizing Axiomatic Design Theory is described in order to control the design architecture with regards to the -functions to parts- mapping. As far as the second aspect is concerned, two indexes are developed quantifying the design architecture in terms of the parts’ interactions perspective. Furthermore, an algorithm for clustering of product’s parts into clusters/modules is introduced. The algorithm utilizes Artificial Neural Networks (ANNs) and Design Structure Matrices (DSMs). The aforementioned developments were incorporated into a CAD based software tool, having as objective the support of modular design. Its main functions are: (a) DSM generation from product CAD model, (b) calculation of the aforementioned indexes, (c) facilitation of clustering and (d) representation of clustered DSM in CAD form. Application of the tool to real case studies from the automotive industry, provide an evaluation of the developed methods. The main outcome of the present work is the integrated approach that was proposed and realized through the software tool, which integrates methods for the handling of a product’s design architecture. This process assists in real time (during the design process) design engineers to the generation of modular designs. The evaluation of the case studies reveals the efficiency of the proposed approach to produce such designs and validates its applicability to industry. Το αντικείμενο της παρούσας διατριβής είναι η ανάπτυξη μεθόδων για τον έλεγχο της σχεδιαστικής αρχιτεκτονικής των προϊόντων. Για το σκοπό αυτό προτείνεται μια ολοκληρωμένη προσέγγιση η οποία διερευνά τη σχεδιαστική αρχιτεκτονική και από τις δύο της διαστάσεις: την αντιστοίχιση των λειτουργιών του προϊόντος στα μέρη από τα οποία αποτελείται καθώς και την αλληλεπίδραση που έχουν τα μέρη αυτά μεταξύ τους. Για τη πρώτη διάσταση, προτείνεται ένας τρόπος χρησιμοποίησης της Θεωρίας του Αξιωματικού Σχεδιασμού (Axiomatic Design Theory) ώστε να γίνεται έλεγχος της σχεδιαστικής αρχιτεκτονικής ως προς την αντιστοίχιση των λειτουργιών στα μέρη του προϊόντος. Όσον αφορά τη δεύτερη διάσταση, αναπτύσσονται δύο δείκτες οι οποίοι ποσοτικοποιούν την σχεδιαστική αρχιτεκτονική που αφορά τη δομή των αλληλεπιδράσεων των τμημάτων του προϊόντος. Επίσης, εισάγεται ένας αλγόριθμος για την ομαδοποίηση (clustering) των μερών ενός προϊόντος. Ο αλγόριθμος αυτός χρησιμοποιεί Τεχνητά Νευρωνικά Δίκτυα και πίνακες DSM (Design Structure Matrix). Οι παραπάνω μέθοδοι ενσωματώθηκαν σε ένα λογισμικό εργαλείο που αναπτύχθηκε. Το εργαλείο αυτό συνεργάζεται με προγράμματα CAD και έχει ως στόχο την στήριξη του ομαδοποιημένου σχεδιασμού. Οι βασικές του λειτουργίες είναι η δημιουργία του πίνακα DSM ενός προϊόντος χρησιμοποιώντας το αντίστοιχο σχέδιο CAD, ο υπολογισμός των προαναφερθέντων δεικτών, η διευκόλυνση της διαδικασίας ομαδοποίησης καθώς και η αναπαράσταση σε CAD ενός ομαδοποιημένου πίνακα DSM. Μέσω της εφαρμογής του εργαλείου αυτού σε πραγματικές περιπτώσεις της αυτοκινητοβιομηχανίας, πραγματοποιήθηκε αξιολόγηση των μεθόδων που αναπτύχθηκαν. Το κυριότερο αποτέλεσμα της εργασίας είναι η ολοκληρωμένη λύση που προτάθηκε και υλοποιήθηκε μέσω ενός λογισμικού εργαλείου, η οποία ενσωματώνει μεθόδους ελέγχου της σχεδιαστικής αρχιτεκτονικής προϊόντων. Η λύση αυτή βοηθάει σε πραγματικό χρόνο (κατά τη διάρκεια της σχεδιαστικής διαδικασίας) τους σχεδιαστές μηχανικούς, στη δημιουργία καινοτόμων σχεδιασμών. Η αξιολόγηση των περιπτώσεων της αυτοκινητοβιομηχανίας έδειξε την δυνατότητα της προτεινόμενης λύσης να παράγει τέτοιους σχεδιασμούς και επικύρωσε την εφαρμοσιμότητά της σε βιομηχανικό περιβάλλον.

APA, Harvard, Vancouver, ISO, and other styles

Macari, Octavian. "Desenvolvimento de Métodos de Processamento de Levantamentos Hidrográficos Expeditos." Master's thesis, 2018. http://hdl.handle.net/10400.26/25099.

Full text

Abstract:

O conhecimento do fundo marinho é um fator crucial para a segurança da navegação, assim como para as diversas atividades marítimas. O progresso da hidrografia tem mostrado novos horizontes trazendo diversos sistemas complexos que prometem resolver muitos dos desafios nesta área. Respetivamente à aquisição de dados batimétricos através de sondadores de feixe-simples, este trabalho surge da necessidade de colmatar os erros dependentes do fator humano, reduzir o tempo de processamento e melhorar a qualidade do mesmo. Para tal, são necessárias ferramentas computacionais que auxiliem a fase de processamento de dados e a elaboração de produtos finais. Deste modo, foi criada uma ferramenta, com auxílio a vários algoritmos e métodos desenvolvidos. Um dos utilizados é o Self Organizing Map (SOM) ou mapas auto-organizados. O estudo apresenta, sinteticamente, conceitos básicos de Levantamentos Hidrográficos para uma melhor compreensão dos dados analisados. De seguida, apresenta-se o modo de funcionamento do algoritmo SOM, abordando aspetos necessários para a realização de agrupamento de dados (clustering) como parte da solução da ferramenta desenvolvida. A partir deste, apresenta-se a metodologia desenvolvida para a realização da seleção de dados (sondas) necessária à criação de produtos para representação do fundo marinho. A ferramenta desenvolvida, Processamento de Dados Garmin com Self-Organizing Map (PDGSOM), é confrontada com outros sistemas de processamento de dados batimétricos, nomeadamente o software CARIS. Deste modo, comparando modelos batimétricos realizou-se uma análise de parâmetros de funcionamento e eficácia da ferramenta desenvolvida. Em síntese, a presente dissertação tem como objetivo a construção de uma ferramenta com uma interface de fácil utilização, fornecendo uma informação segura na utilização dos dados e produtos obtidos, tendo como motivo de estudo a “segurança na navegação”. The need of knowledge of the seabed in its whole, has been brought many challenges to maritime navigation. The safety of navigation is a crucial factor, and even with all the progress and the new horizons that hydrography science has shown with its numerous complex systems, there are still many obstacles to overcome. Regarding the acquisition of bathymetric data with single beam echo sounder, this work arises from the need to bridge the errors reflected on the human factor, improve the processing of data acquisition and time reduction. For all the reasons stated above, computational tools are of a main importance on the data processing phase and the elaboration of final products. For this study, I developed a tool, using Decision Support System, based on the algorithm of self-organizing map Kohonen. Better known for its clustering, visualization and classification capabilities with comprehensive solutions for selection of bathymetric data. The study begins by presenting, the basic concepts for a better understanding of the studied area, with respect to the Hydrographic Surveys. Next, the operation of the Self Organizing Map algorithm is presented, addressing aspects necessary to perform data grouping (clustering) as part of the solution of the developed tool. From this, I present the methodology used to develop the realization of data selection necessary to create products for representing the seabed. The developed tool, Garmin Data Processing with Self-Organizing Map (PDGSOM - Portuguese version) is compared with other bathymetric data processing systems, CARIS software. This allowed the comparison of digital elevation models, analysis of operation parameters and effectiveness of the developed tool. Succinctly, this dissertation has as main goal the construction of a tool with an easy-use interface, providing safe information in the use of the data and obtained products, based on the principles of "safety of navigation ".

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!