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Lafkihi, Mariam. "The role of service procurement mechanisms in collaborative freight transport networks : design and investigation using simulation and gamification approaches." Thesis, Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLM053.
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La logistique est une dimension croissante et déterminante du management et de la compétitivité des entreprises qui entraîne avec elle une part importante de la performance de l’économie et de l’emploi en Europe. Sans le développement de la logistique, toutes les innovations des deux derniers siècles n’auraient pas été possibles. Nous sommes certes arrivés à un niveau de performance extrême, avec notamment des livraisons en moins de 2 heures, mais cela a un coût : 25 % des trajets des transporteurs se font à vide et le taux moyen de remplissage des poids lourds ne dépasse pas les 65% dans les pays développés. Le transport de marchandises est actuellement piégé par un système peu utilisé et peu respectueux de l'environnement. Ce dilemme peut être résumé par : comment continuer à satisfaire les exigences toujours plus pointues tout en maîtrisant les coûts et en respectant des normes environnementales et sociales plus exigeantes ? Au-delà d’une transition énergétique nécessaire mais insuffisante, des solutions émergent, notamment la mutualisation et l’interconnexion des transports de marchandises à grande échelle. La mutualisation en transport et logistique est un accord de partenariat qui consiste à la mise en commun volontariste de moyens physiques, d’informations et de compétences dans le but d’obtenir à long terme des gains économiques, écologiques et financiers. Le cadre de cette coopération peut revêtir des formes juridiques et organisationnelles variables en fonction de la nature des parties, des moyens et des produits ou services (Chai et al., 2013). Depuis quelques années, les grands distributeurs ont compris rapidement l’intérêt de partager des capacités de transport ou de stockage en recourant notamment à des prestataires de services logistiques communs. Ce partage est une source d’avantageconcurrentiel dans la mesure où il permet à la grande distribution, alimentaire ou spécialisée, de bénéficier d’économies d’échelle, et d’optimiser l’usage de ressources logistiques rares. Les démarches de mutualisation connaissent toutefois aujourd’hui une réelle accélération. Des solutions de mutualisation logistique et de transport multimodal voient le jour dans plusieurs régions où les industriels travaillent ensemble en collaboration avec les clients et les transporteurs. Sur cette base, l’objectif de cette thèse est de proposer des mécanismes de collaboration, sur la base de la théorie des « Mechanism Design », permettant la gestion des relations entre les différents acteurs d’un réseau de transport collaboratif, d’évaluer leur potentiel économique et écologique et d’étudier leur applicabilité dans un réseau de transport collaboratifThe importance of freight transport is amplified today by the rapid boom in E-commerce, and in particular new online-to-offline business strategies. To boost competitiveness, e-tailers and logistics service providers have devoted adequate efforts to managing express fulfillment services, e.g., same-day delivery (one or two-hour delivery), and various distribution and delivery channels. This has resulted in massive, high-frequency shipments with short lead times and fluctuating volumes. Moreover, freight transport organizations have undergone rapid changes. New markets and new technologies have emerged that will probably require innovative solutions as efficiency is still low. There is thus a strong motivation, involving economic, social, and environmental objectives, to develop more sustainable and efficient freight transport systems. In this vein, horizontal collaboration has been largely studied, and its effectiveness and efficiency in freight transport have been proven in the recent literature (Pan et al., 2019). In particular, Collaborative Transport Networks are a horizontal collaboration solution attracting increasing attention. Given the important role of freight transport in logistics and the multiple, compounding challenges faced by actors, an innovative, effective, and sustainable management of transport services procurement is needful for the emerging new collaborative transport networks. Moreover, new collaborative incentive mechanisms and rules are required to manage interactions between all the independent stakeholders in such networks. This dissertation intends to explore collaborative mechanisms that manage the interactions between actors and guide the self-interested decisions of individuals toward an optimal global solution in such a way that these individuals are motivated to choose the optimal and rational solutions. This dissertation provides a picture of existing mechanisms for freight transport service procurement, challenges components of existing research, and provides ground for further research
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Thota, Venkata Rama Chaitra. "Risk as a Mechanism in Self-Organizing Agile Software Development Teams." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1505206458441433.
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Hamilton, Matthew R. (Matthew Ryan). "Information technology (IT) as a mechanism to build trust and foster collaborative innovation in the buyer-supplier relationship." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59162.
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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2010.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 77-80).
As companies attempt to remain competitive throughout increasing market forces, many firms develop key operational strategies to differentiate themselves. One method that many companies such as Amazon, Dell, and Toyota, have established a competitive advantage through is supply chain management (SCM). One aspect of a disciplined and effective SCM program is supplier management, both from a risk and cost perspective. In this paper, the author explores an area oftforgotten when dealing with suppliers: trust. During a research project at Raytheon Integrated Defense Systems in Andover, Massachusetts, the author strove to learn how the dynamic of trust in a buyer-supplier relationship affects the companies' interactions, and how SCM leaders can influence this dynamic. First, through an examination of the available literature, the author presents an alternative view of the buyer-supplier relationship, viewed through the lenses of game theory and behavioral economics, in order to develop an impetus for change. Using an existing information-sharing information technology (IT) platform at Raytheon, along with extensive surveys of Raytheon suppliers and employees, the author answers the question: Can trust be built through sharing information in a systematic process through an IT platform? Results of the analysis show that there is a distinct possibility for companies to build trust with their suppliers through "opening up" and sharing information, which will ultimately facilitate collaborative innovation between the two organizations. In determining the types of information to share, the author generalizes the most useful type of information into categories applicable across various industries. Mainly, suppliers most desire and can utilize information that allows them to make more accurate and timely decisions, and likewise abhor information sharing and requirements that add burden to their workday. When determining which suppliers to share information with, companies need to develop some form of objective criteria to rank the potential impact of engaging specific suppliers. As each company's individual cases will differ, the author outlines a process to select Raytheon suppliers as an example of a methodology that others can follow.
by Matthew R. Hamilton.
S.M.
M.B.A.
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Hichri, Bassem. "Design and control of collaborative, cross and carry mobile robots : C3Bots." Thesis, Clermont-Ferrand 2, 2015. http://www.theses.fr/2015CLF22601/document.
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L'objectif du travail proposé est de concevoir et commander un groupe des robots mobiles similaires et d'architecture simple appelés m-bots (mono-robots). Plusieurs m-bots ont la capacité de saisir ensemble un objet afin d'assurer sa co-manipulation et son transport quelle que soit sa forme et sa masse. Le robot résultant est appelé p-bot (poly-robot) et est capable d'effectuer des tâches de déménageur pour le transport d'objets génériques. La reconfigurabilité du p-bot par l'ajustement du nombre des m-bots utilisés permet de manipuler des objets lourds et des objets de formes quelconques (particulièrement s'ils sont plus larges qu'un seul m-bot). Sont considérés dans ce travail l'évitement d'obstacle ainsi que la stabilité du p-bot incluant la charge à transporter. Une cinématique pour un mécanisme de manipulation a été proposée et étudiée. Ce dernier assure le levage de la charge et son dépôt sur le corps des robots pour la transporter. Plusieurs variantes d'actionnement ont été étudiées : passif, avec compliance et actionné. Un algorithme de positionnement optimal des m-bots autour de l'objet à manipuler a été proposé afin d'assurer la réussite de la tâche à effectuer par les robots. Cet algorithme respecte le critère de "Force Closure Grasping" qui assure la stabilité de la charge durant la phase de manipulation. Il maintient aussi une marge de stabilité statique qui assure la stabilité de l'objet durant la phase de transport. Enfin, l'algorithme respecte le critère des zones inaccessibles qui ne peuvent pas être atteintes par les m-bots. Une loi de commande a été utilisée afin d'atteindre les positions désirées pour les m-bots et d'assurer la navigation en formation, durant la phase du transport, durant laquelle chaque robot élémentaire doit maintenir une position désirée par rapport à l'objet transporté. Des résultats de simulation pour un objet de forme quelconque, décrite par une courbe paramétrique, sont présentés. Des simulations 3D en dynamique multi-corps ainsi que des expériences menées sur les prototypes réalisés ont permis de valider nos propositionsOur goal in the proposed work is to design and control a group of similar mobile robots with a simple architecture, called m-bot. Several m-bots can grip a payload, in order to co-manipulate and transport it, whatever its shape and mass. The resulting robot is called a p-bot andis capable to solve the so-called "removal-man task" to transport a payload. Reconfiguring the p-bot by adjusting the number of m-bots allows to manipulate heavy objects and to manage objects with anyshape, particularly if they are larger than a single m-bot. Obstacle avoidance is addressed and mechanical stability of the p-bot and its payload is permanently guaranteed. A proposed kinematic architecture for a manipulation mechanism is studied. This mechanism allows to lift a payload and put it on them-bot body in order to be transported. The mobile platform has a free steering motion allowing the system maneuver in any direction. An optimal positioning of the m-bots around the payload ensures a successful task achievement without loss of stability for the overall system. The positioning algorithm respects the Force Closure Grasping (FCG) criterion which ensures the payload stability during the manipulation phase. It respects also the Static Stability Margin (SSM) criterion which guarantees the payload stability during the transport. Finally, it considers also the Restricted Areas (RA) that could not be reached by the robots to grab the payload. A predefined control law is then used to ensure the Target Reaching (TR) phase of each m-bot to its desired position around the payload and to track a Virtual Structure (VS), during the transportation phase, in which each elementary robot has to keep the desired position relative to the payload. Simulation results for an object of any shape, described by aparametric curve, are presented. Additional 3D simulation results with a multi-body dynamic software and experiments by manufactured prototypes validate our proposal
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Zacharia, Giorgos 1974. "Collaborative reputation mechanisms for online communities." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/9379.
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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 1999.Includes bibliographical references (p. 79-80).
The members of electronic communities are often unrelated to each other, they may have never met and have no information on each other's reputation. This kind of information is vital in Electronic Commerce interactions, where the potential counterpart's reputation can be a significant factor in the negotiation strategy. I will investigate two complementary reputation mechanisms that rely on collaborative rating and personalized evaluation of the various ratings assigned to each user. While these reputation mechanisms are developed in the context of electronic commerce, I believe that they may have applicability in other types of electronic communities such as chatrooms, newsgroups, mailing lists etc.
by Giorgos Zacharia.
S.M.
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Wichtlhuber, Matthias [Verfasser]. "On Collaborative Mechanisms for Content Distribution / Matthias Wichtlhuber." München : Verlag Dr. Hut, 2017. http://d-nb.info/1149580437/34.
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Carlson, Tom Edward. "Collaborative control mechanisms for an intelligent robotic wheelchair." Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520858.
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Powered wheelchairs play a vital role in bringing independence to people who suffer from a wide range of mobility impairments. However, some wheelchair users struggle to drive safely and effectively. To address these issues, a few fully autonomous robotic solutions have been developed, which limit the level of control the user can exert on the system. However, wheelchair users typically want to be active drivers. Therefore, to bridge this gap, we propose a collaborative control mechanism. Our system aims to assist wheelchair users to drive safely, without inhibiting their inherent capabilities. Using a multiple–hypotheses method, the collaborative controller continuously predicts the short–term goals of the user and calculates an associated confidence of the prediction. If the system determines that the user cannot successfully achieve this target state, it will pro–actively provide assistance, based upon the affordances of the surroundings. In contrast, when it determines that the user is capable of manoeuvring safely without any assistance, it continues to update its hypotheses, but does not intervene. In a series of experiments, we show that our collaborative controller enables wheelchair drivers to manoeuvre safely and effectively. It allows high precision manoeuvres to be performed without the need for precise input signals from the user. Conversely, we demonstrate that without the assistance, performance was suboptimal; many participants exhibited erratic joystick movements and experienced multiple collisions. Moreover, experimental results suggest that our approach can even help proficient wheelchair users under certain conditions, i.e. when they are under a heightened workload. Our approach to collaborative control can empower wheelchair drivers of diverse proficiencies to manoeuvre effectively and safely, especially when their input is imprecise or their attention is limited.
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Heath, Georgina. "Investigating mechanisms of change in the collaborative problem solving model." Thesis, University of Surrey, 2016. http://epubs.surrey.ac.uk/812294/.
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Collaborative Problem Solving (CPS; Greene & Ablon, 2006) is a treatment model designed to reduce behavioural difficulties among children and adolescents by developing their cognitive, emotional and social skills. The aim of this study was to evaluate the effectiveness of the CPS approach in an outpatient setting and to explore whether child executive functioning (EF), increased parental empathy, and/or reduced parental stress are possible mechanisms of change within the CPS model. Forty-two families of children aged 3-12 years with behavioural difficulties completed a 12-week in-home CPS treatment programme. Caregiver report measures were completed pre and post-treatment. The results suggest that post CPS there were significant reduction in child behavioural difficulties, improved child executive functioning, increased parental empathy, reduced parental stress, and an improvement in caregiver-child relationships. Regression analyses indicated that improvements in child EF appeared to be the primary mechanism of change within the CPS model, predicting approximately 22% of variance in child behavioural outcomes. Reduced parental stress also accounted for a small amount of variance, however changes in parental empathy were not a predictor of child behavioural outcomes. Child behaviour pre-intervention was not associated with the amount of change produced in child executive functioning, parental empathy or parental stress, which indicates that positive changes can occur through CPS, regardless of the severity of behavioural difficulties at outset. These results suggest that child EF and low parental stress are critical for healthy child and adolescent development, and should be a focus for interventions aimed at reducing child behavioural difficulties.
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Chambers, Morgan. "Factors and mechanisms that influence intraorganisational collaboration and competition." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/6994.
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Recently, some authors point to value creation from the structure and behaviours associated with competition and collaboration inside the organisation (Helfat and Eisenhardt, 2004; Birkinshaw and Lingblad, 2005). While both competition and collaboration have been studied extensively between organisations, less attention has been focused on them and their interaction between units inside the organisation, particularly within complex and heterogeneous multinational corporations.
The question is how to achieve the coordination and collaboration that is necessary for a multinational organisation to reap the benefits that international expansion has to offer and yet balance the propensity for competition that exists as business units struggle for scarce resources or new opportunities. In order to answer this question, the aim of this review is to first of all know what the factors and mechanisms are that influence competition and collaboration between organisational units within multinational organisations.
Methodology: This study has been conducted using a systematic review methodology with the aim of producing a search of extant literature which can be trusted by others as being thorough, transparent, replicable and clear. Both quantitative and qualitative techniques have been used to achieve this.
Findings: This review finds that the there is minimal extant literature that addresses competition and collaboration between business units within the multinational corporation and that it also fails to provide a comprehensive understanding of the factors and mechanisms that influence the co-existence of intraorganisational competition and collaboration. They are typically viewed as mutually exclusive or at opposite ends of a continuum. While there has been some recent research attention given to intraorganisational collaboration and competition, each in their own right, there has not been an extensive review of the factors and mechanisms when looking at their coexistence within the multinational corporate environment. By bringing the two literatures into view and investigating the paradoxical nature of the influences on andthe interactions between competition and collaboration, insights into an optimal mix based on the corporations strategy and value creation logic can be gained for both academics and business unit leaders.
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Pérez, Sanagustín Maria del Mar. "Operationalization of collaborative blended learning scripts: a model, computational mechanisms and experiments." Doctoral thesis, Universitat Pompeu Fabra, 2011. http://hdl.handle.net/10803/38360.
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Portable and interactive technologies are changing the nature of collaborative learning practices. Learning can now occur both in and beyond the classroom and furthermore combine formal and informal activities monitored and orchestrated across spatial locations. This rises to a new type of orchestrated learning that we term Computer Supported Collaborative Blended Learning (CSCBL) scripts. This thesis investigates the challenges associated with the design of CSCBL scripts and with the technologies responsible for their enactment. Three contributions are presented. First, a conceptual model that combines 4 factors to be considered in the design of CSCBL scripts. Second, technological solutions operationalizing the aforementioned factors are proposed and evaluated through synthetic experiences. And third, four CSCBL experiments using 4SPPIces. These experiments are analyzed into two interrelated multicase case studies, whose cross-analyzed results provide an evaluation of the model, of the operationalization solutions supporting the enactment of the involved CSCBL scripts and of the educational value of the experiences themselves.La introducción de tecnologías interactivas y móviles está produciendo un cambio significativo en la naturaleza de las prácticas educativas. Actualmente, el aprendizaje mediante colaboración se puede dar en situaciones en que secuencias de actividades formales e informales dentro y fuera del aula se combinan e integran de forma coordinada. Esto da lugar a un nuevo tipo de actividades de colaboración orquestadas en entornos mezclados que llamaremos guiones CSCBL (de su acrónimo en inglés). Esta tesis investiga los retos relacionados con diseño de los guiones CSCBL y de la selección apropiada de la tecnología para su puesta en marcha. De este trabajo de investigación se derivan tres contribuciones principales. Primero, se propone un modelo conceptual que combina 4 factores a tener en cuenta en el diseño de guiones CSCBL. Segundo, se proponen un conjunto de soluciones tecnológicas para dar soporte computacional a los diferentes factores del modelo y dar apoyo a la puesta en marcha de guiones CSCBL. Cada una de estas soluciones se evalúa mediante experimentos sintéticos. Finalmente, esta tesis presenta tres experimentos en que se usa el modelo para proponer actividades de colaboración en entornos mezclados y aplicarlas en entornos reales. Estos experimentos han sido evaluados mediante dos estudios múltiples de casos. El análisis cruzado de los resultados de los casos englobados en cada estudio ofrece una evaluación de la utilidad del modelo y de las soluciones tecnológicas adoptadas para su puesta en marcha.
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Subedi, Tara Nath. "Interruption Management in ubiquitous collaborative environments : developing suitable interaction mechanisms for ASTRA." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9907.
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ASTRA is a project that aims at studying awareness systems that help people to feel in touch with family and friends even when they are away from their computers and the existing widespread tools of today (IM, skype, twitter,...) are not enough. In this context, this thesis aims at addressing the problem of Interruption management. The focus will be on the design and development of different interaction mechanisms to support the definition of interruption rules as needed in ASTRA. This will require the extension of the existing Interruption Manager as well as the development of suitable user interfaces, also considering physical interfaces when appropriate. A limited evaluation of the proposed solutions will be evaluated with users.
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Lamb, Caroline Marie. "Collaborative systems thinking : an exploration of the mechanisms enabling team systems thinking." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/54602.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2009.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 197-214).
Aerospace systems are among the most complex anthropogenic systems and require large quantities of systems knowledge to design successfully. Within the aerospace industry, an aging workforce places those with the most systems experience near retirement at a time when fewer new programs exist to provide systems experience to the incoming generation of aerospace engineers and leaders. The resulting population will be a set of individuals who by themselves may lack sufficient systems knowledge. It is therefore important to look at teams of aerospace engineers as a new unit of systems knowledge and thinking. By understanding more about how teams engage in collaborative systems thinking (CST), organizations can better determine which types of training and intervention will lead to greater exchanges of systems-level knowledge within teams. Following a broad literature search, the constructs of team traits, technical process, and culture were identified as important for exploring CST. Using the literature and a set of 8 pilot interviews as guidance, 26 case studies (10 full and 16 abbreviated) were conducted to gather empirical data on CST enablers and barriers. These case studies incorporated data from 94 surveys and 65 interviews. From these data, a regression model was developed to identify the five strongest predictors of CST and facilitate validation. Eight additional abbreviated case studies were used to test the model and demonstrate the results are generalizable beyond the initial sample set. To summarize the results, CST teams are differentiable from non-CST teams.
(cont.) Among the most prevalent differentiators is a team's self-reported balance between individual and consensus decision making. Teams that engage in consensus decision making reported stronger engagement in collaborative systems thinking. Another differentiator is the median number of past program experiences on a team. Teams whose members reported more past similar program experiences also reported more engagement in collaborative systems thinking. Data show the number of past similar programs worked is a better predictor than years of industry experience. The apparent enabling effects of qualitative team traits are also discussed. The conclusions of this document propose ways in which these findings may be used to improve training and team intervention within industry, academia, and government.
by Caroline Marie Twomey Lamb.
Ph.D.
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Harper, Michael Richard Jr. "Automated reaction mechanism generation : data collaboration, Heteroatom implementation, and model validation." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/65756.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2011.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 281-292).
Nearly two-thirds of the United States' transportation fuels are derived from non-renewable fossil fuels. This demand of fossil fuels requires the United States to import ~ 60% of its total fuel consumption. Relying so heavily on foreign oil is a threat to national security, not to mention that burning all of these fossil fuels produces increased levels of CO₂, a greenhouse gas that contributes to global warming. This is not a sustainable model. The United States government has recently passed legislation that requires greenhouse gas emissions to be reduced to 80% of the 2005 level by the year 2050. Furthermore, new legislation under the Energy Independence and Security Act (EISA) requires that 36 billion gallons of renewable fuel be blended into transportation fuel by 2022. Solving these types of problems will require the fuel industry to shift away from petroleum fuels to biomass-derived oxygenated hydrocarbon fuels. These fuels are generated through different biological pathways, using different "bugs." The question of which fuel molecules should we be burning, and thus, which bugs should we be engineering, arises. To answer that question, a detailed understanding of the fuel chemistry under a wide range of operating conditions, i.e. temperature, pressure, fuel equivalence ratio, and fuel percentage, must be known. Understanding any fuel chemistry fully requires significant collaboration: experimental datasets that span a range of temperatures, pressures, and equivalence ratios, high-level ab initio quantum chemistry calculations for single species and reactions, and a comprehensive reaction mechanism and reactor model that utilizes the theoretical calculations to make predictions. A shortcoming in any of these three fields limits the knowledge gained from the others. This thesis addresses the third field of the collaboration, namely constructing accurate reaction mechanisms for chemical systems. In this thesis, reaction mechanisms are constructed automatically using a software package Reaction Mechanism Generator (RMG) that has been developed in the Green Group over the last decade. The predictive capability of any mechanism depends on the parameters employed. For kinetic models, these parameters consist of species thermochemistry and reaction rate coefficients. Many parameters have been reported in the literature, and it would be beneficial if RMG would utilize these values instead of relying on estimation routines purely. To this end, the PrIMe Warehouse C/H/O chemistry has been validated and a means of incorporating said data in the RMG database has been implemented. Thus, all kinetic models built by RMG may utilize the community's reported thermochemical parameters.
(cont.) A kinetic model is evaluated by how accurately it can predict experimental data. In this thesis, it was shown that the RMG software, with the PrIMe Warehouse data collaboration, constructs validated kinetic models by using RMG to predict the pyrolysis and combustion chemistry of the four butanol isomers. The kinetic model has been validated against many unique datasets, including: pyrolysis experiments in a flow reactor, opposed-flow and doped methane diffusion flames, jet-stirred reactors, shock tube and rapid compression machine experiments, and low-pressure and atmospheric premixed laminar flames. The mechanism predicts the datasets remarkably well across all operating conditions, including: speciation data within a factor of three, ignition delays within a factor of two, and laminar burning velocities within 20% of the experimental measurements. This accurate, comprehensivelyvalidated kinetic model for the butanol isomers is valuable itself, and even more so as a demonstration of the state-of-the-art in predictive chemical kinetics. Although the butanol kinetic model was validated against many datasets, the model contained no nitrogen-containing species, and also had limited pathways for benzene formation. These limitations were due to the RMG software, as RMG was initially written with only carbon, hydrogen, and oxygen chemistry in mind. While this functionality has been sufficient in modeling the combustion of hydrocarbons, the ability to make predictions for other chemical systems, e.g. nitrogen, sulfur, and silicon compounds, with the same tools is desired. As part of this thesis, the hardcoded C/H/O functional groups were removed from the source code and database, enabling our RMG software to model heteroatom chemistry. These changes in the RMG software also allows for robust modeling of aromatic compounds. The future in the transportation sector is uncertain, particularly regarding which fuels our engines will run on. Understanding the elementary chemistry of combustion will be critical in efficiently screening all potential fuel alternatives. This thesis demonstrates one method of understanding fuel chemistry, through detailed reaction mechanisms constructed automatically using the RMG software. Specifically, a method for data collaboration between the RMG software and the PrIMe Warehouse has been established, which will facilitate collaboration between researchers working on combustion experiments, theory, and modeling. The RMG software's algorithm of mechanism construction has been validated by comparing the RMG-generated model predictions for the combustion of the butanol isomers against many unique datasets from the literature; many new species thermochemistry and reaction rate kinetics were calculated and this validation shows RMG to be a capable tool in constructing reaction mechanisms for combustion. Finally, the RMG source code and database have been updated, to allow for robust modeling of heteroatom and aromatic chemistry; these two features will be especially important for future modeling of combustion systems as they relate to the formation of harmful pollutants such as NOx and soot.
by Michael Richard Harper, Jr.
Ph.D.
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Kumar, Niraj. "Capability, governance and collaboration : understanding the supplier perspective." Thesis, University of Bath, 2012. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.564003.
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This research investigates the relationship between supplier capabilities, inter-firm governance and buyer-supplier collaboration. The research focuses on three functional capabilities (Research and Development (R&D), Production and Support services capability), two governance mechanisms (Contractual and Relational governance) and three types of buyer-supplier collaboration (Information sharing, Collaborative product/service development and Collaborative problem solving). A theoretical framework is developed which first examines the multiple mediation effect of contractual and relational governance on the relationship between capability and collaboration type, and second, explores the relative strength of the indirect effect through contractual and relational governance. Survey based research methodology is used to empirically test the hypotheses in this research. Data are collected from a total of 120 SMEs in the UK aerospace industry. Bootstrapping based techniques are used to analyse the data and to examine the proposed relationship between capability, governance and collaboration. The empirical findings indicate that although both contractual and relational governance are important in order to link the supplier capability with collaboration, the individual effect of contractual and relational governance varies in different combinations of capabilities and collaboration types. The potential contribution of this research is twofold: first, in terms of academic contribution, this study combines the arguments of Resource Based View and Transaction Cost Economics to provide a holistic view in explaining the interrelation between capability, governance and buyer-supplier collaboration; Second, in terms of practical contribution, this study improves the understanding of practitioners in both buying and supplying firm regarding the alignment of interfirm exchange processes with capabilities to achieve better performance in collaboration.
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Xu, Chengmao. "Interaction and collaboration mechanisms for distributed communities and groups in educational settings." [S.l. : s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=962069604.
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Wendel, Viktor Matthias [Verfasser], Ralf [Akademischer Betreuer] Steinmetz, and Wolfgang [Akademischer Betreuer] Effelsberg. "Collaborative Game-based Learning - Automatized Adaptation Mechanics for Game-based Collaborative Learning using Game Mastering Concepts / Viktor Matthias Wendel. Betreuer: Ralf Steinmetz ; Wolfgang Effelsberg." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2015. http://d-nb.info/111191060X/34.
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Wendel, Viktor [Verfasser], Ralf [Akademischer Betreuer] Steinmetz, and Wolfgang [Akademischer Betreuer] Effelsberg. "Collaborative Game-based Learning - Automatized Adaptation Mechanics for Game-based Collaborative Learning using Game Mastering Concepts / Viktor Matthias Wendel. Betreuer: Ralf Steinmetz ; Wolfgang Effelsberg." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2015. http://nbn-resolving.de/urn:nbn:de:tuda-tuprints-46541.
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Xu, Xiaozhou. "Mécanisme de collaboration dans la collaboration logistique horizontale." Phd thesis, Ecole Nationale Supérieure des Mines de Paris, 2013. http://pastel.archives-ouvertes.fr/pastel-00957302.
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À cause des stratégies de production et de marketing de plus en plus ambitieuses tellesque le Juste-À-Temps et la production adaptée au client, les approches de collaboration logistique verticale qui sont courantes atteignent une limite d'efficacité notamment en transport. La collaboration logistique horizontale (CLH) et plus particulièrement la mutualisation, dont l'efficacité a été prouvée dans la littérature et dans les cas réels, a attiré l'attention des chercheurs ainsi que des praticiens. Cependatn, un des obstacles principaux à la mise en œuvre des CLHs est l'absence d'un mécanisme de collaboration raisonné, en particulier un mécanisme de partage des gains. Nous identifions deux formes d'organisation des CLHs : centralisée limité en pratique à de petites coalitions et décentralisée pouvant comprendre de nombreux participants. Pour des CLHs centralisées, nous proposons un modèle de collaboration qui est un processus de conduite qui intègre les outils d'aide à la décision. Nous développons également un mécanisme de partage par la théorie des jeux. Ce mécanisme est applicable aux différentes catégories des CLHs centralisées, qui peuvent être modélisées par des jeux coopératifs super-additif et non-super-additifs. Afin de proposer un plan de partage crédible aux collaborateurs, ce mécanisme de partage prend en compte la contribution de chacun des collaborateurs, la stabilité de la coalition et leur pouvoir de négociation. Ce cadre est illustré par des exemples numériques issus de cas logistiques. Pour la mise en œuvre des CLHs décentralisées, nous proposons un cadre de travail de logistique collaborative qui est ouvert aux participants potentiels, et avons conçu des protocoles fondés sur le mécanisme d'enchère combinatoire, qui spécifient l'allocation de demande de livraison et la détermination de paiement pour faciliter les collaborations. Cette dernière partie s'appuie sur la théorie dite de Mechanism design.
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McCrea, Michael Victor. "Slot-Exchange Mechanisms and Weather-Based Rerouting within an Airspace Planning and Collaborative Decision-Making Model." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/26874.
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We develop and evaluate two significant modeling concepts within the context of a large-scale Airspace Planning and Collaborative Decision-Making Model (APCDM) and, thereby, enhance its current functionality in support of both strategic and tactical level flight assessments. The first major concept is a new severe weather-modeling paradigm that can be used to assess existing tactical en route flight plan strategies such as the Flight Management System (FMS) as well as to provide rerouting strategies. The second major concept concerns modeling the mediated bartering of slot exchanges involving airline trade offers for arrival/departure slots at an arrival airport that is affected by the Ground Delay Program (GDP), while simultaneously considering issues related to sector workloads, airspace conflicts, as well as overall equity concerns among the airlines. This research effort is part of an $11.5B, 10-year, Federal Aviation Administration (FAA)-sponsored program to increase the U.S. National Airspace (NAS) capacity by 30 percent by the year 2010.
Our innovative contributions of this research with respect to the severe weather rerouting include (a) the concept of â Probability-Netsâ and the development of discretized representations of various weather phenomena that affect aviation operations; (b) the integration of readily accessible severe weather probabilities from existing weather forecast data provided by the National Weather Service (NWS); (c) the generation of flight plans that circumvent severe weather phenomena with specified probability levels, and (d) a probabilistic delay assessment methodology for evaluating planned flight routes that might encounter potentially disruptive weather along its trajectory. Given a fixed set of reporting stations from the CONUS Model Output Statistics (MOS), we begin by constructing weather-specific probability-nets that are dynamic with respect to time and space. Essential to the construction of the probability-nets are the point-by-point forecast probabilities associated with MOS reporting sites throughout the United States. Connections between the MOS reporting sites form the strands within the probability-nets, and are constructed based upon a user-defined adjacency threshold, which is defined as the maximum allowable great circle distance between any such pair of sites. When a flight plan traverses through a probability-net, we extract probability data corresponding to the points where the flight plan and the probability-net strand(s) intersect. The ability to quickly extract this trajectory-related probability data is critical to our weather-based rerouting concepts and the derived expected delay and related cost computations in support of the decision-making process.
Next, we consider the superimposition of a flight-trajectory-grid network upon the probability-nets. Using the U.S. Navigational Aids (Navaids) as the network nodes, we develop an approach to generate flight plans that can circumvent severe weather phenomena with specified probability levels based on determining restricted, time-dependent shortest paths between the origin and destination airports. By generating alternative flight plans pertaining to specified threshold strand probabilities, we prescribe a methodology for computing appropriate expected weather delays and related disruption factors for inclusion within the APCDM model.
We conclude our severe weather-modeling research by conducting an economic benefit analysis using a k-means clustering mechanism in concert with our delay assessment methodology in order to evaluate delay costs and system disruptions associated with variations in probability-net refinement-based information. As a flight passes through the probability-net(s), we can generate a probability-footprint that acts as a record of the strand intersections and the associated probabilities from origin to destination. A flight planâ s probability-footprint will differ for each level of data refinement, from whence we construct route-dependent scenarios and, subsequently, compute expected weather delay costs for each scenario for comparative purposes.
Our second major contribution is the development of a novel slot-exchange modeling concept within the APCDM model that incorporates various practical issues pertaining to the Ground Delay Program (GDP), a principal feature in the FAAâ s adoption of the Collaborative Decision-Making (CDM) paradigm. The key ideas introduced here include innovative model formulations and several new equity concepts that examine the impact of â at-least, at-mostâ trade offers on the entire mix of resulting flight plans from respective origins to destinations, while focusing on achieving defined measures of â fairnessâ with respect to the selected slot exchanges. The idea is to permit airlines to barter assigned slots at airports affected by the Ground Delay Program to their mutual advantage, with the FAA acting as a mediator, while being cognizant of the overall effect of the resulting mix of flight plans on air traffic control sector workloads, collision risk and safety, and equity considerations.
We start by developing two separate slot-exchange approaches. The first consists of an external approach in which we formulate a model for generating a set of package-deals, where each package-deal represents a potential slot-exchange solution. These package-deals are then embedded within the APCDM model. We further tighten the model representation using maximal clique cover-based cuts that relate to the joint compatibility among the individual package-deals. The second approach significantly improves the overall model efficiency by automatically generating package-deals as required within the APCDM model itself. The model output prescribes a set of equitable flight plans based on admissible trades and exchanges of assigned slots, which are in addition conformant with sector workload capabilities and conflict risk restrictions. The net reduction in passenger-minutes of delay for each airline is the primary metric used to assess and compare model solutions. Appropriate constraints are included in the model to ensure that the generated slot exchanges induce nonnegative values of this realized net reduction for each airline.
In keeping with the spirit of the FAAâ s CDM initiative, we next propose four alternative equity methods that are predicated on different specified performance ratios and related efficiency functions. These four methods respectively address equity with respect to slot-exchange-related measures such as total average delay, net delay savings, proportion of acceptable moves, and suitable value function realizations.
For our computational experiments, we constructed several scenarios using real data obtained from the FAA based on the Enhanced Traffic Management System (ETMS) flight information pertaining to the Miami and Jacksonville Air Route Traffic Control Centers (ARTCC). Through our experimentation, we provide insights into the effect of the different proposed modeling concepts and study the sensitivity with respect to certain key parameters. In particular, we compare the alternative proposed equity formulations by evaluating their corresponding slot-exchange solutions with respect to the net reduction in passenger-minutes of delay for each airline. Additionally, we evaluate and compare the computational-effort performance, under both time limits and optimality thresholds, for each equity method in order to assess the efficiency of the model. The four slot-exchange-based equity formulations, in conjunction with the internal slot-exchange mechanisms, demonstrate significant net savings in computational effort ranging from 25% to 86% over the original APCDM model equity formulation.
The model has been implemented using Microsoft Visual C++ and evaluated using a C++ interface with CPLEX 9.0. The overall results indicate that the proposed modeling concepts offer viable tools that can be used by the FAA in a timely fashion for both tactical purposes, as well as for exploring various strategic issues such as air traffic control policy evaluations; dynamic airspace resectorization strategies as a function of severe weather probabilities; and flight plan generation in response to various disruption scenarios.Ph. D.
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Massey, Lori Marie. "The Value of Partnerships as a Mechanism for Systems Change: The Florida Experience (1974-2006)." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/30118.
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The value of collaborative regional professional development partnerships as the mechanism for implementing a Comprehensive System of Personnel Development (CSPD), a mandate of the Individuals with Disabilities Education Act (IDEA) 1997, in one state was investigated. The historical organizational case study examined this issue from the perspectives of those initially and currently involved with regional professional development partnership implementation. Participants included individuals representing three different perspectives (i.e., state education agency, institutions of higher education, and local education agency) A qualitative case study research design was used to gain in-depth information from varied sources about participants' views of Florida's system of personnel development prior to the implementation of regional professional development partnerships, as well as the perceived value of the regional professional development partnerships from those who were currently involved. Data sources included interviews and a review of relevant documents. Data analysis included the process of inductive analysis which allowed themes of the study to emerge from the data. Conclusions drawn from the study's findings included: (1) the critical importance of leadership, (2) the importance of relationships, (3) the developmental nature of partnerships, (4) readiness, roles, and responsibilities, (5) benefits and barriers, and (6) the importance of institutional memory and active involvement.Ph. D.
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Tang, Tzy-Wen. "Knowledge transfer mechanisms of university-industry collaboration : an empirical analysis of the biotechnology industry." Thesis, University of Edinburgh, 2011. http://hdl.handle.net/1842/27505.
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This study aims to adopt the transaction cost economics, resource-based theory, and social exchange theory to theoretically analyse university-industry knowledge transfer activities and their determinants and consequences. Four mechanisms are identified for university-industry knowledge transfer, namely equity-based transfer, research contract-based transfer, general contract-based transfer, and relation-based transfer. These determinants are examined in three categories, namely, resource factors, resource dependency and complementarities, and transaction cost factors. The sample was gathered from 145 Taiwanese biotechnology firms, and the results indicate that collaboration with a university improves a firm's knowledge transfer performance in terms of knowledge acquisition, knowledge generation, and commercial success. Relation-based transfer and general contract-based transfer are the most effective ways in which to transfer knowledge, and these are followed by research contract-based transfer, and equity-based transfer respectively. Furthermore, the empirical results illustrate that not all types of resources contribute to university-industry knowledge transfer activities and knowledge transfer performance. A firm's resources are found to be useful for the formation of collaboration, and a university's resources are beneficial for improving knowledge transfer performance, particularly when they have more knowledge resources and organisational resources. Technology transfer office resources and the relationship resources of universities and firms facilitate an equity-based transfer and improve the performance of knowledge transfer. Flowever, the greater property-based resources of a university and a firm do not generate more university-industry knowledge transfer activities and a better knowledge transfer performance. A university's greater property-based resources can even decrease the knowledge transfer performance. In addition, it was found that knowledge asset specificity and market uncertainty are related to the formation of a relation-based transfer, general contract-based transfer, and research contract-based transfer. However, resource dependency and resource complementarity do not appear to have an effect on facilitating university-industry knowledge transfer activities and knowledge transfer performance.
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Grönlund, Müller Molly. "The Price of Protecting Forests : Assessing REDD+ Performance in Collaborative Governance in Vietnam." Thesis, Umeå universitet, Statsvetenskapliga institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-162524.
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The UNFCCC initiated mechanism Reducing Emissions from Deforestation and Forest Degradation (REDD+) is an important policy instrument for combating climate change, using payments to create economic incentives for developing countries to preserve their forests. However, there is a need for closer scrutiny of whether the mechanism is able to generate its intended outputs and outcomes. The study assessed REDD+ productivity performance in collaborative governance using an instrumental case study of a Collaborative Governance Regime (CGR), the CarBi project in Vietnam. The assessment was based on Emerson and Nabatchi’s productivity performance matrix encompassing three units of analysis - the Participant Organisations, the CGR and the Target Goals. The study was conducted as a Minor Field Study (MFS) using in-depth interviews, complemented with official documents. The findings showed that progress was made in achieving target goals such as forest restoration and enhanced biodiversity, but that REDD+ was not adapted to suit the CGR’s need for stable payments and was not financially feasible to implement in a conservation focused project. Instead, outputs and outcomes were sustained as a result of the transition to the national Payment for Forest Ecosystem Services (PFES). However, the REDD+ safeguards, supporting the inclusion of local communities and indigenous peoples, were lost in the transition and PFES reliance on funding from hydropower dams posed both environmental and social challenges to CGR sustainability.
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Erkens, Melanie [Verfasser], and Daniel [Akademischer Betreuer] Bodemer. "Guiding Knowledge Exchange in Collaborative Learning : Mechanisms and Potential of Text-Mining Support / Melanie Erkens ; Betreuer: Daniel Bodemer." Duisburg, 2019. http://d-nb.info/1191691764/34.
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Srivastav, Abhishek Ray Asok. "Collaboration and pattern recognition in distributed sensor networks a statistical mechanics based approach /." [University Park, Pa.] : Pennsylvania State University, 2009. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-4402/index.html.
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Wang, Hsi-Tsung, and 王錫琮. "A Floor Control Mechanism for Collaborative Computing." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/65546172650583221989.
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碩士淡江大學
資訊工程學系
86
Due to the advances of computer and network technologies, the computer, communication, and consuming electronics are tightly integrated. Computer Supported Cooperative Work (CSCW), a new group working environment, is one of such products, which connects people located apart but works as together. In this manner, the working efficiency can be improved. To the best of our knowledge, most systems are working in free mode, i.e. no floor control, or in a turn taking mode. As a result, conflicts may occur or participants work in a restricted way. Thus, an effective way in dealing with this issue is required. In this thesis, we propose a floor control mechanism for text co-editing in CSCW. This mechanism is used to resolve the multi- participants editing conflicts and reduce the race condition. In our work, we analyze the text-editing behavior and then design a set of operations. Based on these operations, a conflict- resolving mechanism is developed, which can effectively manipulate the conflict areas and prevent unnecessary undo processes. The algorithm works as follows: there are a received queue and a finished queue. The received queue is in charge of buffering the receiving messages. The finished queue is used to dealing with data generated from local host. By comparing these two queues, if a conflict is occurred, the designed operations will be applied to resolve the conflict or precede the undo process. In this manner, a highly efficient working environment is established.
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TANG, CHIEN-HAO, and 湯建豪. "Collaborative Filtering Recommendation with Autoencoder Training Mechanism." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/8tkf9u.
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碩士中華大學
資訊工程學系
106
In recent years, with the popularity of Internet technology, a large number of Web services have become available, which indicates that people can access vast information and services through more varieties of methods. From active information retrieval to passive acquisition, recommendation systems have become inevitable. In addition, because of technological advancement, the storage and access costs of data have decreased, making the rise of big data. Therefore, feasibility of recommendation systems depends not only on vast amount of data but also effective analysis. As data required to be processed by recommendation systems are growing, the time for recommendation is increasing. Users have to wait for the results after the massive amounts of data have been processed. How to efficiently process these data is still an important research topic. In order to reduce the processing time it is necessary to combine with different methods. In this paper we proposed the method that preprocesses data using Autoencoder. After the complexity of data has been reduced, collaborative filtering recommendation method is applied. The experimental results show the proposed method can reduce the process time when there is a large amount of data.
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Pei-HsinLin and 林沛昕. "Music recommendation by collaborative filtering and tagging mechanism." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/50069139685474613931.
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碩士國立成功大學
資訊管理研究所
103
Past years, many music platforms spring up in the Internet world. To help users obtain precise information relevant to themselves from abundant music-related information, understanding users’ preferences have become the decisive advantage to exceed other competitors. With the help of folksonomy and social resource sharing systems, more platforms provide users with tags to collect resources of interest. Users’ tag sets can be regarded as their preferences since tags are user-defined. Research on applying tags to recommender systems has been extensively done. However, more hidden information still can be considered. This study propose a similarity function utilizing user’s tag sets, play counts of songs and friendship in order to recommend effectively. Since users don’t have uniform usage of tags, we standardize users’ tags for music to indicate the users’ interest precisely. After clustering users using the standardized tags, we calculate the interest similarity of music type between two users. The weights of this similarity function consist of user’s implicit evaluation including tags represented his preference, listening frequency and tag frequency of each song and friendship, etc. Experiment result shows that MAP of using standardized tag-weighted similarity is 4.6%, which is better than 2.4% of play-count-weighted similarity. Friendship can improve MAP to 5.1%, and clustering also help MAP increase to 5.7%.
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Hung, Yung-Fang, and 洪永芳. "A Collaborative Recommendation Mechanism based on Time-Variant Participation." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/71160910421679749621.
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碩士輔仁大學
資訊工程學系
98
Due to the rapid growth of web information, it is difficult to provide appropriate recommendation to users in such an information overload environment. A recommendation system should provide personalized recommendations to help users to obtain the necessary information and services effectively. However, the traditional recommendation systems typically use the user's explicit preferences as the main information source. A large amount of objects and a small amount of rating information are likely to cause the sparsity problem. Also, a new user without any available rating information could encounter the cold start problem. Most of all, a timely recommendation is not possible without considering the time factor. This thesis proposes a recommendation mechanism that considers the user’s participation and time factor. The proposed recommendation mechanism is based on Collaborative Filtering and considers the user’s Time-Variant Participation within a community. The participation and contribution of user in the community is calculated to help the sparsity problem. By recommending the highest participated member in a community could solve the cold start problem. Through the degrading consideration of participation and contribution by time, more appropriate recommendations are given. This recommendation mechanism has been validated on the Social Learning Space (SLS).
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Chen, Sin-Yu, and 陳信羽. "Collaborative Filtering Mechanism: A Case Study on Fan Pages." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/z6xy5c.
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碩士國立臺灣科技大學
企業管理系
103
Along with the spread of the Internet and fast development of cloud platforms, mobile applications and social media, an explosive surge of information on the web has brought about information overload. This phenomenon spread across the Internet, leaving nothing out, including the most popular social media platform, Facebook. As the number of fan pages increases, Facebook users are finding it harder to allocate fan pages that are useful and of their interests, and fan page operators have also encountered problems in their efforts to effectively create fans of high loyalty since it has become harder to meet the needs of the numerous fans on the fan pages. Many studies in the past proposed that a recommendation system can solve the problem of information overload, but most of the studies focused on online marketing, movies, music, travel and e-commerce. However, recommendation system targeting on social media, such as Facebook fan pages, has not been done on a substantial scale. This research aims to explore effective mechanisms for matching users with the fan pages of their interests. This study uses the concepts of Pearson similarity and prediction function with users as the basis of constructing recommendation system targeting on fan pages. K-means cluster analysis was used to group the Facebook fan pages and formulate the recommendation model. Finally, the overall group data and results of the recommendations are analyzed for exploration and comparison. The results of the overall data shows that, by predicting user preferences through the analysis of user behavior and fan page attributes on 2,076 fan pages, the Fan Page of “CHLOECHEN” was selected as the priority recommendation for the general fashion category. To derive the group data, K-means cluster analysis was used to generate three groups of different attributes, which provided information to the fan page owners on how to manage fan pages of different attributes and the needs of the fans of different groups. With the preferences filtered, the fan page owners will be able to predict the degree of interest of non-member users. The priority recommendations for each fan page group are “Love and Sharing” for the relationship category, “CHLOECHEN” for the general fashion category and “Ding Dang ( 丁噹 ) Ring” for the music/band category. This research offers a new reference structure for future studies and a direction for businesses in terms of Facebook fan page recommendations. The Recommendation Model provides fan page operators with an effective strategy for marketing and management.
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陳昭廷. "Key Factors of Commitment Mechanism for Collaborative Forecasting in CPFR." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/09274306918534237362.
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陳光禹. "A Two-phase Collaborative Intrusion Detection Mechanism for Cloud Computing." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/65454914465557208690.
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碩士國立交通大學
資訊管理研究所
99
With the advent of cloud computing, a number of issues are discussed and among them, security is an important one. This thesis concentrates on intrusion detection. It studies how to apply the intrusion detection systems (IDS) in cloud and makes them cooperate with each other to provide a more secure solution. A two-phase collaborative mechanism is proposed to enhance the security in cloud. The first phase is constructing the trust management model. Such model is designed to establish the trustworthiness relationships between each IDS. It is contributed by three steps, sending test messages, encouraging replying, and considering the transitivity of trust. The second phase is collaborating. The trustworthiness between each system, derived at first phase, is used to strengthen the quality of collaboration. There are two ways to collaborate, alert correlation and symptoms sharing. An IDS can increase the performance obviously by sharing the information with each other. Eventually, with analyzing the simulation results, the average detection accuracy of IDSs in the proposed mechanism is 98% when the IDSs are sensitive to attacks. It is higher than the non-cooperation (88%) and the other proposal (90%).
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Chen, Chun-Yen, and 陳俊諺. "Collaborative Localization Mechanism Based on RSSI in Wireless Sensor Networks." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/53742990888676083618.
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碩士國立臺北教育大學
資訊科學系碩士班
99
In recent years, with the rapid development of wireless sensor network, the applications of location-based services have been increased. Therefore, localization in wireless sensor networks has become a popular research issue. Many localization algorithms for WSNs were proposed. Among them, approach based on received signal strength (RSS) is simple and economic since it needs no extra hardware. However the received signal strength is greatly influenced by the surrounding environment, and hence leads to inaccurate distance estimation. This thesis proposed a collaborative localization method to reduce the errors while using received signal strength for location estimation. In this approach, a bind node will periodically broadcast packets for collecting the RSSI values between it and its neighboring nodes. Moreover, by using the shortest path algorithm, the distance between the blind node and the reference node can be better estimated. Thus, with at least three references nodes, the location of a blind node can be computed by using Minimum Mean Square Error algorithm. In order to increase the accuracy of localization, our thesis designs a filter that the unreliable RSSI values are discarded, and the distance by using the shortest path algorithm is modified by a ratio constant. Our experiments are carried out with TI CC2430/2431 chips. The experimental results show that, the estimated position is very close to the actual position of the blind node. That is, our proposed mechanism can effectively reduce the errors in location estimation caused by using weak RSSI signals.
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Lan, Shih-fu, and 藍世福. "The motivation of members joining collaborative software project and collaborative mechanism research-for ZK open source project." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/6urhn4.
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碩士國立中山大學
資訊管理學系研究所
96
When Taiwan''s software industry faces difficult environment, in cases of this study explore the company uses open-source marketing strategy to enter the global market and explore the motivation of members joining collaborative software project and collaborative mechanism .The conclusion will provide the internal software industry for reference． The most important success factor of open-source software is great product charm.Base on this factor and use word-of-mouth effect to get large number users of downloading software freely in the short time.If a user applies the dual-license of the software, he will contribute benefit. The motivation of creator joining this project is cause of Taiwan’s software market is too small, so need to enter global market to make money, in this reason use open-source marketing strategy to enter global market and learn from world-class talent by exchanging view to achieve their goal. About developer’s motivation is cause of the culture of this company invites developers joining this project is their motivation.About the motivation of user joining this project is cause of the requirement drive user to find AJAX solution in SourceForge.Net webside and finded ZK project ranked first in the category of AJAX. The personal developer evolve from user and the motivation is cause of they feel identification from ZK project and wish ZK product can become better and better. The open-source project is collectting public power to finish a product and it is more complex then open-ended project,so have a good platform will achieve multiplier effect.Manager in the system level considerations is simple and flexible.Product development is divided into core and non-core.The core is developed by senior engineer with experience, non-core is developed by general engineer. If the external personal’s programs will be integrated into products, Copyright must be gived up. Otherwise, these can also be used plus-in way into products.The platform has making full use of the Internet community concept to design forums and issue tracking system.If users have any questions, ideas in the product, they can use the forume to discuss, express their views or ask questions.
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Tsai, Pei-fang, and 蔡佩芳. "The Evaluation Mechanism for Service Providers Based on Collaborative Interaction Capability." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/15733136766221830309.
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碩士逢甲大學
工業工程與系統管理學研究所
95
Under the competition for globalization and Customer-oriented approach, it has already gained much attention for strengthening the enterprise value chain that includes manufacturing chain, designing chain and servicing chain. Based on making servicing chain more robust and concurrently ensure and strengthen the collaboration among each chain, several conceptual mechanism and models are going to be developed and integrated in this project to promote the efficiency of enterprise value chain. The development of precision machinery industry is the key to technology and innovation ability of country, hence service providers of precision machinery industry is an object of this research. The research expects to improve service providers which will be fitted for the development of precision machinery industry by the performance indicators. The performance indicators and performance measures for assessing service providers will be identified that includes the interaction capability with other chains. Then, the concept of balanced score-card (BSC) which led service providers to transforms its intangible assets into ability of earning profits will be the base of evaluation mechanism of research. The use of quality function deployment (QFD) methodology rationalizes the process of identification of interaction indictors with which precision machinery industry can urge its service provider to take the initiative in collaborating with department of design and manufacture. The data envelopment analysis (DEA) which can measure comparative efficiency between service providers with mathematics theory will be employed to construct mechanism of service provider assessment. Finally, this research proposes the practicable procedures of evaluation of service providers. The procedures incorporate BSC TABLE, DEA mechanism and the concept of PDCA. The service providers will continue being monitored and improve its effects on the basis of PDCA, hence this research can achieve the goal of steadying service providers.
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Peng, Guei-Sian, and 彭貴賢. "An Online Collaborative Stock Management and Sale Mechanism for E-retailers." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/15914944908816462266.
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碩士逢甲大學
工業工程與系統管理學研究所
94
Zwass(2003) claimed that in e-commerce there are five areas (commerce, collaboration, communication, connection, and computation) in which innovation opportunities can be found. This research is devoted to investigating the innovative collaboration ways among e-retailers and applying the concept of virtual warehousing under an inter-organizational framework, so as to facilitate the sales and to accelerate the depletion of inventory by resources sharing and mutual assistance. An online collaborative stock management and sales mechanism (OCSM) is therefore proposed and is practically implemented on an IIS website server with VBScript and HTML applications. The DBMS and OS are Microsoft Access and Microsoft Windows XP, respectively. In addition, two experimental retailing websites have also been built to demonstrate the practical operation of the OCSM mechanism. Then, the simulation results collected were further analyzed with Microsoft Excel for a detailed comparison. The analysis results showed that the OCSM mechanism can indeed improve the efficiency in selling products for the participating websites by shortening the time to stock depletion. This helps to quicken the realization of revenues and to reduce the costs incurred with stock storage.
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LI, HSIN-JUN, and 李炘潤. "Collaborative Filtering System based on Multi-Level Implicit Feedback Attention Mechanism." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/5my6gv.
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碩士國立臺北科技大學
資訊工程系
107
In the age of the Internet, the recommendation system has become very popular for online social media. However, the traditional recommendation calculation has no way to accurately match the user's preferences. How to win the attention of users in one fell swoop, this will become the goal of the major operators. Collaborative filtering using the similarity between items and items has replaced the past item-based collaborative filtering model as the mainstream. It uses the user's historical favorite item set to represent the user and correlate with the target item, and uses implicit feedback to reduce the cost of the calculation while offline. Later, Xiangnan He et al. proposed that NAIS: Neural Attentive Item Similarity Model for Recommendation, a network model of attention mechanism, improved traditional similarity estimation and increased accuracy. However, it is not enough to only explore the attention of user's historical favorite items and target item, because sometimes the potential preferences of the item may not be expressed in the user history. For example, users like hero movies, but in the hero movie market, Marvel and DC are opposite companies. This factor may affect the user's preferences, but it will not be reflected in the user's history of the favorite hero film. For more precise recommendations, this paper uses a multi-layered attention mechanism. The first layer is the original NAIS attention model, and the second layer is the attention calculation of the implicit feedback message of the item itself (such as: type, time, etc.), The attention weight obtained through the second layer affects the attention of the first layer, so that the weights are added. The layer effect makes the user's correlation with the recommended items more clear. In the experiment, we used the MovieLens-1m data set. The experimental results show that compared with the NAIS attention model, the multi-layer attention model accuracy is 70.99%, while the NAIS accuracy is 69.72%, and the paired t-test five runs results（p<〖10〗^(-2)）, verifying the multi-layered attention model has a more significant effect.
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prasad, mukesh, and 木克思. "A Collaborative Fuzzy Rule Transfer Mechanism for Neural Fuzzy Inference Systems." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/36709543470422441409.
Full textAbstract:
博士國立交通大學
資訊科學與工程研究所
104
In this study, a preprocessed collaborative fuzzy clustering (PCFC) technique is proposed to refine the inconsistency of the prototype and partition matrices obtained from fuzzy c-means clustering before getting involved in the collaboration process. The PCFC provides a solution to the problems related to the collaborative fuzzy clustering and gives better data visualization. In the collaboration processes, one organization cannot share data information directly with other organization, due to the privacy and security issues. However, the PCFC helps to share data information within different organizations in the form of partition matrix and prototypes while maintaining the privacy and security of the data along with the ability to yield a satisfactory result. This study also proposes a novel collaborative fuzzy rule transfer mechanism for neural fuzzy and fuzzy inference systems. First, the fuzzy rules are generated facilely by the fuzzy c-means (FCM), and then adapted and updated with preprocessed collaborative fuzzy clustering. Second, the updated rules are used to decide the structure of the learning phase of neural fuzzy systems and knowledge-based sub-system of the fuzzy inference system. Third, the parameter learning is performed with the updated fuzzy rules without selecting initial parameters for the neural fuzzy systems and consequently the inference sub-system uses If-Then type fuzzy rules to convert the fuzzy input to the fuzzy output for fuzzy inference systems. The proposed method is capable of dealing with immense datasets while preserving the privacy and security of these datasets. The entire dataset is divided into several equally-sized subsets of datasets for the PCFC procedure, where each of the subsets of the dataset is clustered separately. For the proposed method, initially the entire dataset is organized into two individual subsets and the knowledge of prototype (cluster centers) and the partition matrix of these subsets are deployed through the collaborative technique. The proposed method is able to achieve consistency in the presence of the collective knowledge of the PCFC and boosts the system modeling process by parameter learning ability of the neural fuzzy inference networks. The proposed method outperforms other existing methods for time series prediction problems. Further, this study presents a new system modeling paradigms for Mamdani type and Tagaki-Sugeno-Kang (TSK) type fuzzy inference systems (FIS) with combination of PCFC. In this proposed method, PCFC is used to model the data behavior by extracting a set of rules instead of using fuzzy c-means clustering for Mamdani type FIS and subtractive clustering for TSK type FIS. The proposed method combines the knowledge learning capability of the preprocessed collaborative fuzzy clustering and rule learning ability of the FCM with the modeling strength of Mamdani type fuzzy inference system and Tagaki-Sugeno-Kang type fuzzy inference systems to provide an accurate model of system for given sets of problems. The proposed method helps to understand and visualize the data analysis for structural modeling of systems. Also, this study presents the Soft-boosted self-constructing neural fuzzy inference network (SB-SONFIN), which is an improved version of the self-constructing neural fuzzy inference network. The SB-SONFIN softly boosts up the learning process in order to reach a lower error rate with higher learning speed. Since the number of the fuzzy rules and initial weights are two important factors for the SONFIN, the SB-SONFIN enhances the learning power of the SONFIN by two ways: (1) it initializes weights with widths of the fuzzy set rather than just with random values; (2) it softly boosts the parameter learning rates with the number of learned fuzzy rules. The effectiveness of the proposed soft boosting scheme is validated on various real world and benchmark datasets. The experimental results show that the SB-SONFIN outperforms other known methods on given datasets.
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Lin, Chun-Cheng, and 林俊程. "Navigating System for Collaborative Mechanism Design of 3C Product with Knowledge Management." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/35167802454307683349.
Full textAbstract:
碩士中原大學
機械工程研究所
96
Due to the rapid development of economy and technology in the recent years, various industries compete day by day intensely. Moreover, the life cycle of 3C electronic products is gradually getting shorter and shorter. Based on the consideration of product design period and the transformation with consumers, the pattern of product design also transform from manufacturing for manufacturing to design for manufacturing. However, the influence in modeling, mechanism, mold and molding design is closely connected. If we are able to considerate the issues of mold design and considerate in the initial mechanism design period, then the time for developing products can be shorten efficiently. It becomes a trend that enterprise knows how to complete a task of high quality design and promote in the fastest and best way in the shortest time. With the development of computer graphic technology, many business companies have used Computer-Aided Design (CAD) to precede the development and design of product modeling. In addition, with the help of ever-expanding internet technology, enterprises has been using the network cross platform to manage, monitor, combine and integrate resources efficiently. Therefore, it can upgrade the competitive ability of enterprise to develop a dedicated system that combines CAD and integrates the designing processes according to the knowledge and experiences of business. This approach will help enterprises train talented person, develop products at better speed, spreads experience of design, and decrease the cost of development to reach the highest quality of standard design. This study uses the two popular software in business, Pro/E and UG, to aim at the fast and systematic mechanism-design of cell phone. We have also integrated the collaboration environment of internet technology and the re-development tools of CAD to construct a navigating mold-design system. The system provides opportunities for designers who come from different environment to be able to proceed their works at the same manner. Furthermore, this research allows access for designers to related knowledge and experience which can provide standard reference material. Through the design structure of top-down design, mechanism design system is able to use the framework of conceptual part to examine the exterior, size, position, and the co-ordination between parts during the first stage of designing. By navigating system, designers proceed the designing procedures to guide the progress of development, and moreover, to lead in the general concept of co partnership designing, and speed up the development of products. In addition, mechanism databases are established, and through the design of parameter, designers can proceed with the development of designing by using commonly used mechanical feature. In conclusion, two cell phones are taken as an example. Comparing the help of designers using Mechanism Design Navigating System with which doesn’t, using Mechanical Design Navigating System can reduce more than thirty percent of time. Moreover, when designers come across difficulties in process, the knowledge-based system can appropriately give suggestions, greatly reducing the chances of errors and mistakes and also speeding up the time.
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Lin, Li-Li, and 林麗莉. "Collaborative Production Planning in Two-Level Supply Chain with Profit Sharing Mechanism." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/2sg7pm.
Full textAbstract:
碩士朝陽科技大學
資訊管理系碩士班
96
The production network in a supply chain is a multi-site production environment. Factories in this environment collaborate to fulfill the total demand requirements from the distribution network. Without the coordination, the production plan of a factory that uses the plan from its next succeeded factory as the input might not be feasible or non-optimal. Lost of literatures have investigated the profit sharing mechanisms and the multi-site production planning respectively. However, few of them study the impact of the former to the latter. Therefore, the main goal of the study is develop a model to formulate the multi-site production environment with the profit sharing mechanism in a two-tier supply chain. The framework contains three modules: multi-site production planning, profit sharing, and coordination. The parameters in the coordination are optimized through experiment designs. Experiments show that the large price variation in the transfer price harms the supply chain profit.
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Teng, Wei-sheng, and 鄧惟升. "A Study on collaborative forecasting mechanism for artificial leather industry in Taiwan." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/5625m7.
Full textAbstract:
碩士國立中山大學
資訊管理學系研究所
98
The bullwhip effect is known as a phenomenon of information distortion due to the lack of information sharing and the forecast error. This phenomenon could cause the productions plan to be instable and the inventory fluctuation among the supply chain members. Those situations above will also cause the fluctuation of purchasing costs to downstream members. The raising costs and inefficiency will be the burden of whole supply chain and not single party can exempts such result. Therefore, the collaboration of supply chain members is aim to solve such problems. In this study, we set the manufacturer as the logistic center among supply chain members, and operate the collaborative business. The artificial leather industry in Taiwan will be the platform of this study. Operation models will be built by the classical type, CPFR type, and CCU (collaborative and coordinative unit) type, and also to be simulated to analyze the performances through several KPIs. The result of this study can be the reference when adopting CPFR or CCU into Taiwan artificial leather industry.
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Chen, Zhen-Rong, and 陳振榮. "A Working Group Construction Mechanism based on Text Mining and Collaborative Filtering." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/jb3uhg.
Full textAbstract:
碩士國立中央大學
資訊工程學系
104
In recent years, Massive Open Online Courses (MOOCs) get popular in the E-learning research domain with the advance of internet technology. At the same time, MOOCs bring to the higher education massive occasion and challenge. The users can conveniently receive the higher education courses by registering an account on the MOOCs platforms. For institutions or teachers are easier to give a course and attract more participants than traditional education. However, producing high-quality learning materials have to consume lots of time and efforts. To reuse learning materials, lower the cost of recreating the materials. Learning Object (LO) concepts have been proposed to the public. The LO is a modular resource that can be re-used easily by users. The content management system which deposited LO is called Learning Objects Repository (LOR), so the LO which stored in the repository should easily be searched by users. The most common way is to increase the discoverability by finding the relevance of materials, but in the meantime, it requires users to have the relevant knowledge and search via correct keywords. Otherwise, they need to repeat their searches over and over again. However, there are numerous of terms be mentioned with the explosion of knowledge. Users are much harder to discover the materials that they want via correct keywords. This paper proposes a working group construction mechanism for users on LOR. The proposed mechanism applies text mining technique to analyze the similarity of groups to construct prototypes of working groups and find the users' preference about LO base on collaborative filtering to optimize these prototypes. In the other words, for users on the LOR can quickly discover the materials that they are interested via accessing the working groups which related to themselves and reduce the time consumed about re-creating learning materials, improving production quality.
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Li, Ta-Cheng, and 李大正. "A Reputation Mechanism Based on Collaborative Automated Trust Negotiation in P2P System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/37939968610475140625.
Full textAbstract:
碩士國立成功大學
電腦與通信工程研究所
93
More and more users are drawn to these networks because of the convenience that P2P systems bring on. However, they also bring up some problems. A typical P2P system allows mutually distrustful parties to join or leave freely. Furthermore, the selfish nodes which only want to utilize other peers’ resources without any contribution have greatly jeopardized the fairness of most P2P networks. These problems have led to the development of reputation mechanisms which detect misbehavior and punish selfish peers, and also to encourage good ones. There are some reputation mechanisms in P2P systems. Most of them maintain their trust based on peers’ own experience and other peer’s recommendations. Such reputation mechanism could give users some knowledge about other users’ past behaviors. Trust negotiation is orthogonal to current reputation-based approaches. It is proposed to handle access control and authentication in open and distributed systems. In this paper, we try to combine both mechanisms. We think trust negotiation can be used together with reputation mechanisms to build trust in a P2P system. In this paper, we proposed a reputation scheme based on trust negotiation for P2P system. We propose an evaluation mechanism for a reputation system that objectively maps each peer’s activity in the P2P network to a reputation level. We maintain a mechanism based on trust negotiation. If a successful negotiation was completed between two peers¸ both peers can get licenses. Peers can raise their trust by collecting licenses. If peers only download resources from other peers, they can’t obtain higher reputation level. Peers with lower reputation level can’t access those with higher reputation level. This mechanism can efficiently arrest selfish behaviors of some peers. We also apply reputation level to trust negotiation. We use reputation level to make trust negotiation more reliable.
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Yeh, Yu-Pei, and 葉欲沛. "A Study of Communication Mechanism with Script-based Agent for Collaborative Design." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/61766767527648343482.
Full textAbstract:
碩士國立雲林科技大學
設計運算研究所碩士班
95
Communication is a interaction between participants for generating design ideas diversely. While the communication between two participants is blocked with isolated communication boundaries, the ideas are often transferred via a propagated interaction process among design team participants. The paper describes an organizational communication method to study the interconnections between designers and design teams using act/react characteristics of role-interplay. Adapting a role-play framework called DARIS; a particular controlling agent called Playwright Agent is developed and used for implementing Acting Scripts in collaborative environment. Furthermore, by simulating the communication interconnection by interconnecting process among discrete communication boundaries, the interaction and controlling mechanism of Playwright Agent is also unleashed in the paper. The mechanism and the agent implementation of proposed framework, namely Script-Based DARIS is shown to represent the interaction as well as their consequence. An example for describing how Playwright Agent works is also shown in the paper.
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Lin, Ren-Kai, and 林仁凱. "Development of a Collaborative Planning and Forecasting Analysis Mechanism for Music Record Industry." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/73073473876590294702.
Full textAbstract:
碩士中原大學
工業工程研究所
95
Abstract The vigorous development of the Information technology and Internet has led the consumer market into the highly competitive environment. Facing the shortened product cycle time and various choices of products, enterprise must develop the ability of innovation to chime with the market environment and consumer preference. It’s now an era of mutual-cooperation in the business model. Thus how to effectively integrate the business collaboration of the members in the supply chain is the long last competitive key point when dealing with this fiercely changeable market. The purpose of this research is to design a collaborative planning and forecasting analysis mechanism that based on the Collaborative Planning, Forecasting and Replenishment (CPFR) business process model published by the Voluntary Interindustry Commerce Standards (VICS) Association. The researching ranges are mainly focusing in music record industry, the necessity of the collaboration between up and downstream suppliers that must to quickly respond consumer and sharing business information or the inaccuracy of the innovation product demand forecast, the frequency of the demand changes, unable to control the demand information, high inventories and loss sales on both supplier and retailer. And also the purpose of the research is to proceed with analysis and study for the music record industries which had mentioned above. Therefore, the collaborative planning and forecasting analysis mechanism includes two issues. The first issue is to plan the music records industry business process model in accordance with as-is operation process and CPFR business process, which may lead the music company and retailer have the bidirectional communication. The second issue is to design the sales forecasting and its adjustment model. The sales forecasting model which considered the marketing mix factors, such as word-of-mouth, sales trend, singer degree, the type of music record and holiday-effect provide themusic companies and retailer an advise sales forecasting value of new release music record. Additionally the sales forecasting adjustment model consider the actuality sales factory , including testing of the past and new released music record by using case retrieval of Case-Based Reasoning (CBR)similarity factors, and estimations of the new released music sales records by using the sales records from past released music records that have similar topics. These are the reference bases for providing music record enterprises to control accurately the uncertainly market and respond quickly to the exception events.
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Li, Yu-Hsiu, and 李育修. "Development of a Collaborative Order Planning and Replenishment Mechanism for Music Record Industry." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/10861279161830905484.
Full textAbstract:
碩士中原大學
工業工程研究所
95
Abstract In the environment of keen competition nowadays, rapid development of IT and quick replacement trend of new products has already resulted in fast change of products in demand and shorten products’ life cycle. Enterprises cannot exist in the market independently, and the hostility toward each other doesn’t exist, either. On the contrast, it’s now an era of mutual-cooperation in the business. Therefore, how to create an effective combination of collaborative partners in the supply chain is the long last competitive key point when dealing with this fiercely changing market. The purpose of this research is to develop a collaborative order planning and replenishment mechanism that based on the CPFR (Collaborative Planning, Forecasting and Replenishment) business process model published by VICS (the Voluntary Inter-industry Commerce Standards). The research ranges are mainly in the music record industry, the necessity of the collaboration between up and downstream suppliers, and their problems of brief product life cycle, the inaccuracy of the demand forecast, the frequency of the demand changes, being unable to control the demand information, high inventories and loss sales on both supplier and retailer. The mechanism follows the result of sales forecasting in CPFR, is deemed as a regular changeable parameter. This research takes disc data of the same grade in the pass (The type of the disc, singer’s grade and vacation effect) to be the safety stock volume of new products, and then utilizes lot sizing model to consider purchasing relevant cost and decide the order point and quantities. Through the design of experiment, the enterprise can find a better gene parameters combination. Accordingly, while the enterprise is facing huge differences between actual sales and the original forecasting of new products, it can solve the problem by adjusting sales forecasting model to rearrange order plans. These are the reference bases for providing music record enterprise to control accurately the uncertain factors of market and respond immediately.
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Kou, chung-hsin, and 郭崇信. "The Study of Dynamically Controlling Mechanism for Multilevel Collaborative Detection in Network Security." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/00828264619009339032.
Full textAbstract:
碩士國防管理學院
國防資訊研究所
90
ABSTRACT As these years our government is constructing the National Information Infrastructure (NII), the Internet was extended to most people’s home and bring us many convenience in our daily life. But the network intrusion events happened more frequently as it was. If we don’t figure out some practical methods to protect our information infrastructure we were not able to survive under our enemies’ attack in the age of information warfare. So this thesis, from a information security manager’s perspective, utilize the mechanism of certificate authority (CA) and collect network security device’s event logs in our intranet to prevent network intruders to modify and delete system logs. Our system also use some cross analytical techniques to measure network intrusion events’ weighting and produce a damage level, and the system will auto execute predefined commands based on the damage level as an defense activity. The system complements network security devices’ functions and were able to meet higher security requirement. When the damage level were level 5 the system will send messages to network security managers via Global System for Mobile Communication (GSM) Short Message Service (SMS) and cut off the power of network entry point’s router to defense our network security.
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Ma, Hsiu-Chi, and 馬秀綺. "Order Planning Decision Support Mechanism of Collaborative Supply Chain Based on Limited Resource." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/90099500018671900982.
Full textAbstract:
碩士逢甲大學
工業工程學所
92
As the fast development of information technology, work flow and purchasing tactics in enterprises are improved. With the development of internet, the information sharing among collaborative partner had broken the limit of time and space. When electronic procurement becomes more generally, the problem of order planning inside the supply chain network is more important, which is including ordering from which supplier, and how many the amount should be etc. In other words, in order to solve the problem caused by electronic procurement in the supply chain system, it needs to establish decision support system for order planning of collaborative supply chain. This research offers precision machinery supply chain system to establish decision support system for entire supply chain network through real-time and transparent information communication. Rather than focusing on single collaborative partner, the decision support system should evaluate the entire performance of whole collaborative supply chain network by considering all collaborative partners. From the point view of the main factory of precision machinery, expecting the collaborative partner resource constraints (types and numbers of partner) and capacity constraint, the characteristics of each kind of collaborative partners will also be analyzed. The decision support system developed can be applied to evaluate the influence of collaborative partners to the entire network by concurrently considering collaborative quality, collaborative delivery date and collaborative cost and help the precision machinery in the middle-Taiwan to improve the whole performance in the supply chain network.
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Lu, Jun-Yi, and 呂俊毅. "Online News Recommendation based on Collaborative Semantic Topic Model and Dynamic Adjustment Mechanism." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/v54qx6.
Full textAbstract:
碩士國立交通大學
資訊管理研究所
106
With the ubiquity of Internet technology, more and more users read news such as travel, entertainment and makeups on online websites. However, users are hard to search the necessary news due to the overload of information. This reason makes users decrease the staying time on the platform. Therefore, recommendation system plays a critical role in helping users filter the significant information and becomes an important trend in current online world. To solve the issues of data sparsity and cold start, we combine semantic analysis, latent topic allocation and CTM to design a novel Collaborative Semantic Topic Model (CSTM). Moreover, we integrate CSTM, online interest analysis and dynamic adjustment (OIADA) mechanism to develop a novel online recommendation approach. The OIADA analyzes user online interest based on the similarity and association between target news and currently browsing news. Moreover, the recommendation list is dynamically adjusted by item replacement mechanism to tackle the limited recommended layout issue on the website. Finally, we conduct the online experiment and evaluation. The experimental result demonstrates that our methods can improve the click-through rate of online news recommendation.
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Pu, Wei-Ping, and 卜唯平. "A Study for Control Mechanism of International Joint Ventures Impacts on Collaborative Performance." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/4ma5sz.
Full textAbstract:
碩士靜宜大學
企業管理研究所
93
The paper begins with transaction cost economics and relational/network view to the study of control mechanism in international joint ventures (IJVs). On the basis of occurrence of opportunism have to satisfied two conditions－the motive and chance of opportunism. It is also means there are a value gap and an information gap between the partners in IJVs. We propose to execute varied control mechanism (centralization, formalization, socialization) in IJVs by parent company could contributing to reduce the value gap and information gap between the partners and then promote the collaborative satisfaction. We applying Structural Equation Modeling（SEM）approach for examine the relationship among variables. The result shows: (1) Implementing formalization control mechanism could conduce to reduce the value gap between the parents in IJVs. (2) Implementing socialization control mechanism could conduce to reduce the information gap between the parents in IJVs. (3) Narrowing down the value and information gaps make for promoting the collaborative satisfaction. (4) There is a positive relationship between value gap and information gap. A concluding section suggest that how to narrowing down the value and information gaps between parents in IJVs is the most important priority for control mechanism selecting. And we also provides a series of propositions for future empirical research.
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Huang, Li-Ching, and 黃俐菁. "A Web-based Collaborative Learning Community System based on the Trust-Network Mechanism." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/43375091057859142395.
Full textAbstract:
碩士國立高雄應用科技大學
資訊管理系
98
Education is a fundamental resource for human learning, and instructors play important role in helping learners improve their learning performance. Cooperative learning is one of strategies used to assist learners' learning, but the approach of traditional cooperative learning did not consider completely the needs of learners for the group formation. As a result, it might raise barriers to cooperative learning. Therefore, the purpose of this study is to construct a dynamic group mechanism based on trust networks and knowledge capabilities of learners. The concept, Friend of a Friend, is used to grasp the degree of trusted friends in learners’ trust networks. In addition, knowledge capabilities of learners are considered as the basic requirements for the group formation. The course, object-oriented programming, has been used in this study as the topic of cooperative learning. The participants in the experiment were first-year undergraduate students who are divided into the experimental group and control group. The results showed that the experimental group with the dynamic grouping mechanism has better performance than the control group in term of learning performance and sense of group identity. The results also showed that the approach proposed this study can improve the quality of knowledge-sharing and learning performance.