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Journal articles on the topic 'Factorized Databases'

Author: Grafiati

Published: 15 June 2024

Last updated: 31 July 2025

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1

Olteanu, Dan, and Maximilian Schleich. "Factorized Databases." ACM SIGMOD Record 45, no. 2 (2016): 5–16. http://dx.doi.org/10.1145/3003665.3003667.

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Olteanu, Dan. "Report on the Workshop on Factorized Databases." ACM SIGMOD Record 52, no. 2 (2023): 53–56. http://dx.doi.org/10.1145/3615952.3615967.

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The workshop took place in Zurich and online from August 2 to 4, 2022. It was attended by researchers from 17 academic institutions and industry labs, including Microsoft Gray Systems Lab, Omics Data Automation, Oracle Labs Zurich, RelationalAI, and TigerGraph. It featured 18 talks and plenty of opportunities for discussions. The vast majority of participants attended in person.

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Ruiz, A., P. E. Lopez-de-Teruel, and M. C. Garrido. "Probabilistic Inference from Arbitrary Uncertainty using Mixtures of Factorized Generalized Gaussians." Journal of Artificial Intelligence Research 9 (October 1, 1998): 167–217. http://dx.doi.org/10.1613/jair.533.

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This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of finite mixture models, conjugate families and factorization. Both the joint probability density of the variables and the likelihood function of the (objective or subjective) observation are approximated by a special mixture model, in such a way that any desired conditional distribution can be directly obtained without numerical integration. We have developed an extended version of the expectation maximization (EM) algorit

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Huang, Zezhou, Rathijit Sen, Jiaxiang Liu, and Eugene Wu. "JoinBoost: Grow Trees over Normalized Data Using Only SQL." Proceedings of the VLDB Endowment 16, no. 11 (2023): 3071–84. http://dx.doi.org/10.14778/3611479.3611509.

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Although dominant for tabular data, ML libraries that train tree models over normalized databases (e.g., LightGBM, XGBoost) require the data to be denormalized as a single table, materialized, and exported. This process is not scalable, slow, and poses security risks. In-DB ML aims to train models within DBMSes to avoid data movement and provide data governance. Rather than modify a DBMS to support In-DB ML, is it possible to offer competitive tree training performance to specialized ML libraries...with only SQL? We present JoinBoost, a Python library that rewrites tree training algorithms ove

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Bakibayev, Nurzhan, Tomáš Kočiský, Dan Olteanu, and Jakub Závodný. "Aggregation and ordering in factorised databases." Proceedings of the VLDB Endowment 6, no. 14 (2013): 1990–2001. http://dx.doi.org/10.14778/2556549.2556579.

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Bakibayev, Nurzhan, Dan Olteanu, and Jakub Závodný. "Demonstration of the FDB query engine for factorised databases." Proceedings of the VLDB Endowment 5, no. 12 (2012): 1950–53. http://dx.doi.org/10.14778/2367502.2367545.

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Hutchinson, Harry. "Smarter Factories." Mechanical Engineering 123, no. 03 (2001): 60–62. http://dx.doi.org/10.1115/1.2001-mar-2.

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This article highlights about getting more out of information technology, from online services to digital databases, in order to make plants more flexible, to improve product development, or to let people at far-flung sites cooperate more closely. There are industry-led groups namely the Consortium for Advanced Manufacturing-International, which has an office in Bedford, TX, and Intelligent Manufacturing Systems, headquartered in Tokyo. These organizations address concerns ranging from budgeting to the best practices for designing a plant floor. The Consortium for Advanced Manufacturing and In

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Beck, Thomas J. "China and the Modern World, Imperial China and the West, Part I, 1815‐1881." Charleston Advisor 24, no. 4 (2023): 16–19. http://dx.doi.org/10.5260/chara.24.4.16.

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China and the Modern World, Imperial China and the West, one of several Gale Primary Sources databases, consists of two parts and this database is the first, covering 1815‐1881. The documents are drawn from the FO 17 and FO 605 series of British Foreign Office files held at the UK National Archives. The database contains correspondence relating to China from missionaries, interpreters, the factories of Canton (modern Guangzhou), interpreters, envoys, legations, consulates, and missions sent to China from Britain. Included are materials on war, diplomacy, international law, rebellions, trade, p

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Hatou, Kenji, Toshinobu Takeuchi, and Yasushi Hashimoto. "Image Database for the Remote Control of Plant Factories in the Internet Age." IFAC Proceedings Volumes 33, no. 19 (2000): 309–14. http://dx.doi.org/10.1016/s1474-6670(17)40929-3.

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Reining, Nine, and Simone Kauffeld. "Empirical Findings on Learning Success and Competence Development at Learning Factories: A Scoping Review." Education Sciences 12, no. 11 (2022): 769. http://dx.doi.org/10.3390/educsci12110769.

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To meet the changing competence requirements for employees in engineering professions, education and training need to adapt accordingly. Learning factories offer various possibilities to design or integrate practice-oriented learning into training measures. Whether this approach in fact facilitates learning and competence development is rarely investigated. For this reason, the objective of this scoping review is to analyze and summarize the existing empirical findings on learning success and competence development in learning factories regarding their evaluation methods and results. Following

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Savytska, L. A., I. S. Bosak, N. V. Dobrovolska, and S. V. Bohomolov. "FILLING DATABASE THROUGH COLLECTIONS." Information technology and computer engineering 57, no. 2 (2023): 58–62. http://dx.doi.org/10.31649/1999-9941-2023-57-2-58-62.

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ERP (Enterprise Resource Planning) information systems are necessary components of modern business, which play a critical role in managing enterprise resources and integrating business processes. By providing centralized management, integration, and automation, ERP systems help businesses effectively manage their operations, reduce costs, increase productivity, and make informed decisions. ERP information systems consist of various modules that interact with each other and provide comprehensive functionality for managing various aspects of the organization's activities. There are many popular

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Wang, Yan, Cai Ying Li, Heng Liang Mo, Yan Zhi Sun, Yong Mei Chen, and Ping Yu Wan. "Extraction of Chemical Fingerprint in Food Industry Wastewater." Advanced Materials Research 726-731 (August 2013): 1484–90. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.1484.

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Wastewater source tracing technology is a method to find the pollution wrecker based on wastewater chemical fingerprint database. How to extract and verify the chemical fingerprints of each factory is the key technology. Here report the extraction of chemical fingerprint by taking two factories (food brewing and food processing factories) surrounding Tong Zhou North Canal (Beijing) as representatives. Firstly, the organic chemicals, anions, heavy metal ions in wastewater are detected respectively by gas chromatography-mass spectrometry (GC-MS), ion chromatography (IC), inductively coupled plas

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Yao, Albert Wen Long, and H. C. Chen. "An Intelligent Color Image Recognition and Mobile Control System for Robotic Arm." International Journal of Robotics and Control Systems 2, no. 1 (2022): 97–104. http://dx.doi.org/10.31763/ijrcs.v2i1.557.

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The aim of this study is to develop intelligent color recognition, mobile control, and monitoring system for a pick-and-place robotic arm for manufacturing systems. The demand for smart manufacturing factories with real-time control of fabricating processes and traceability of production information is increasing urgently. Generally speaking, a smart manufacturing facility is usually composed of sensing, computing, control, and communication technologies together. In this study, the three-tier architecture of the Internet of things (IoT) was adopted as a guideline to design mobile devices to c

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Shi, Zhenkun, Pi Liu, Xiaoping Liao, et al. "Data-Driven Synthetic Cell Factories Development for Industrial Biomanufacturing." BioDesign Research 2022 (July 1, 2022): 1–12. http://dx.doi.org/10.34133/2022/9898461.

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Revolutionary breakthroughs in artificial intelligence (AI) and machine learning (ML) have had a profound impact on a wide range of scientific disciplines, including the development of artificial cell factories for biomanufacturing. In this paper, we review the latest studies on the application of data-driven methods for the design of new proteins, pathways, and strains. We first briefly introduce the various types of data and databases relevant to industrial biomanufacturing, which are the basis for data-driven research. Different types of algorithms, including traditional ML and more recent

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Diego da Luz, Clayton, and Alysson Nunes Diógenes. "Plant Factories with Artificial Lighting: prospects for achieving sustainable development goals." MOJ Ecology & Environmental Sciences 10, no. 1 (2025): 8–13. https://doi.org/10.15406/mojes.2025.10.00340.

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This study aims to highlight the significance of Plant Factories with Artificial Lighting as a viable food supply solution for the global population, particularly in the context of the United Nations (UN) Sustainable Development Goals (SDGs) that target hunger and social inequalities. A thorough search was conducted across multiple databases, including MDPI, ScienceDirect, ResearchGate, Google Scholar, Springer Science+Business Media, and Frontiers Media, using relevant keywords. The articles reviewed indicate that, despite the inherent challenges of this emerging and costly technology, Plant

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Jerman, Andrej, Mirjana Pejić Bach, and Andrej Bertoncelj. "A Bibliometric and Topic Analysis on Future Competences at Smart Factories." Machines 6, no. 3 (2018): 41. http://dx.doi.org/10.3390/machines6030041.

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The aim of the study is to review the topic of competences that will be present at smart factories. The study used bibliometric and topic analysis to achieve insight into new trends in Industry 4.0. Bibliometric analysis and topic mining was done on 43 peer-reviewed journal articles and conference papers, published before July 2018 in the Thomson Reuters’ Web of Science and Scopus databases, using the software tool Statistica Data Miner. Results are segmented into four sections: (1) personnel development in learning organizations, (2) training techniques for personnel, (3) future engineering p

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Chen, Fu, Le Yuan, Shaozhen Ding, Yu Tian, and Qian-Nan Hu. "Data-driven rational biosynthesis design: from molecules to cell factories." Briefings in Bioinformatics 21, no. 4 (2019): 1238–48. http://dx.doi.org/10.1093/bib/bbz065.

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Abstract A proliferation of chemical, reaction and enzyme databases, new computational methods and software tools for data-driven rational biosynthesis design have emerged in recent years. With the coming of the era of big data, particularly in the bio-medical field, data-driven rational biosynthesis design could potentially be useful to construct target-oriented chassis organisms. Engineering the complicated metabolic systems of chassis organisms to biosynthesize target molecules from inexpensive biomass is the main goal of cell factory design. The process of data-driven cell factory design c

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Praekunatham, Hirunwut, Sutatip Buranasatitnon, and Hansa Ruksakom. "Situation and Spatial Analysis of the COVID-19 Epidemic in Business Establishments: Comparison between the Delta and Omicron Variants in Thailand, July 2021–May 2022." Outbreak, Surveillance, Investigation & Response (OSIR) Journal 15, no. 4 (2022): 114–22. http://dx.doi.org/10.59096/osir.v15i4.262274.

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COVID-19 outbreaks in business establishments cause a stagnant economy. In Thailand, the COVID-19 situation in business establishments has never been investigated. This study aims to (1) describe the situation and (2) compare characteristics, including spatial patterns, of COVID-19 cases in business establishments between the Delta (July–December 2021) and Omicron (January–May 2022) predominant periods. A cross-sectional study was conducted using secondary data extracted from the Department of Disease Control’s database, which was linked to listed company and factory databases. The study popul

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Beldar, Jafar, Nikhil Sawant, Sahil Wasta, and Amar Palwankar. "Cashew Factory Coordination System integrated with Real-Time Monitoring and Automation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43622.

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The real problem for the Cashew Industry is small and medium-sized factories efforts to manage processing, inventory, workforce, and financial operations. Inefficiencies, errors and absence of real-time insights are usually the outcomes of using traditional manual record keeping methods. In order to overcome these challenges, this paper proposes an integrated digital solution as the Cashew Factory Coordination System (CFCS) that aims to automate the principal factory activities. Developed in Python for data processing and MySQL for secure database management, CFCS allows users to track cashew

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Liu, Li Juan, Wen Ge Wu, and Ming Lv. "Design of Database for High Speed Cutting of Difficult-to-Cut Materials." Materials Science Forum 723 (June 2012): 337–42. http://dx.doi.org/10.4028/www.scientific.net/msf.723.337.

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High speed machining (HSM) is one of the main trends of cutting machinery and is an important development direction of advanced manufacturing technology. In our country, the relevant research of HSM database starts later, especially of the cutting of hardworking material, the actual machining and experiment on the machining technology and the machining parameters of HSM are few, the reasonable machining parameters selection scheme and the appropriate cutter choice method are lack. The paper established HSM database system of the hardworking material based on web to improve cutting efficiency.

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Wang, Dejiang, and Haojie Lu. "Development of a BIM Platform for the Design of Single-Story Steel Structure Factories." Buildings 14, no. 3 (2024): 747. http://dx.doi.org/10.3390/buildings14030747.

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Traditional design methods for single-story steel structure factories are characterized by low levels of digitalization and high error rates. To deal with these problems, a building information modeling (BIM) platform for the design of single-story steel structure factories was developed in this paper, which aimed to improve the design process for such structures. Firstly, the components of the factory were categorized, and the Revit API was employed to automate the generation of the BIM model. Load applications and combinations were then established using the Revit API, which relied on a set

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Brailovsky, Peter, Lorena Sanchez, Dilara Subasi, Jochen Rentsch, Ralf Preu, and Sebastian Nold. "Photovoltaic Manufacturing Factories and Industrial Site Environmental Impact Assessment." Energies 17, no. 11 (2024): 2540. http://dx.doi.org/10.3390/en17112540.

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Life cycle inventories (LCIs) and life cycle assessments (LCAs) of photovoltaic (PV) modules and their components focus on the operations of PV factories, but the factories and industrial site product and construction stages are either not or only partially tackled. This work contributes through the bottom-up, model-based generation of LCIs and LCAs for setting up a vertically integrated 5 GWp/a PV industrial site, including the manufacturing of silicon ingots, wafers, solar cells, and PV modules, on a 50 ha greenfield location. Two comparative LCAs are performed. The first compares the annual

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D P, Ms Sai Sandhya, and Mrs Renuka Malge. "Generating Unique Identification Number to Product Manufacturing." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 1504–7. http://dx.doi.org/10.22214/ijraset.2022.45511.

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Abstract: It is possible to identify any product that is created, stored, or sold out using a unique identification number. It demonstrates how this programme of intermediary organisations which have been generating identification to Products of groups' exposes the purposes and Product IDs of those organisations. An increasing number of entities now have unique identifiers (UIN). UIN has the potential to make database integrations considerably more effective, which is one benefit. In order to locate duplicate records within a database or to compare identical publications across databases, uniq

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Asgedom, Akeza Awealom. "Dust Exposure and Respiratory Health among Selected Factories in Ethiopia: Existing Evidence, Current Gaps and Future Directions." Journal of Respiration 3, no. 2 (2023): 49–59. http://dx.doi.org/10.3390/jor3020006.

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Workers who are working in dusty environments might be associated with respiratory health problems. In Ethiopia, factories processing wood, textile, coffee, flour, cement and other materials are associated with dust emission. Furthermore, despite the adoption of the International Labor Organization (ILO) convention, the available constitution and labor proclamation, there are a lot of gaps in terms of occupational health and safety measures in Ethiopia. The current review aims to examine the existing evidence, current challenges and future direction regarding dust exposure and respiratory heal

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Ayjemal, Gurbanmyradovna Ussayeva, and Meretmuhammedovich Orazov Annageldi. "DEVELOPING A PROGRAM FOR THE AUTOMATION OF TAILORING THE GARMENTS." International Journal of Multidisciplinary Research Transactions 5, no. 4 (2023): 20–21. https://doi.org/10.5281/zenodo.7775831.

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Computer technology has a very functional structure. It currently includes the following sections: programming, system work and management, database, networking and internet, graphics and decorating, multimedia technologies, and etc. Capabilities of computer graphics help to automate designing and drawing processes. Taking advantage of these opportunities, programs to automate the process of drawing out the original designs for garment sewing are used in large factories as well as in the shops serving for individual customers.

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Cavas, Bulent. "INDUSTRY 4.0 AND SCIENCE EDUCATION." Journal of Baltic Science Education 18, no. 5 (2019): 652–53. http://dx.doi.org/10.33225/jbse/19.18.652.

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Industry 4.0 and its applications are one of the most important issues of countries that want to keep their competitiveness in the field of scientific, technological and innovation in today's world. The Countries that are not able to adapt to Industry 4.0 processes will not be able to develop scientifically and technologically or keep up with current innovation processes. One of the aims of this paper is to explain the concept of industry 4.0 to our readers in a comprehensible manner and to show how much science education is actually related to industry 4.0. In a general sense, Industry 4.0 or

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Tanaka, Kenji, Shen-Ming Gu, and Jing Zhang. "Designing Multi-Agent Simulation with Big Time Series Data for a Global Supply Chain System." International Journal of Automation Technology 10, no. 4 (2016): 632–38. http://dx.doi.org/10.20965/ijat.2016.p0632.

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Multinational corporations produce products at relatively few factories and then sell those products in all areas of the world. Longer lead times increase the risk of fluctuations in product demand. To reduce this risk, the entire business chain, from production to sale, must be optimized. In this study, we propose, implement, and verify a total optimization system. This system uses multi-agent simulation on big time series data. It consists of management, integrated database, and operation modules.

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Mengel, Stefan, and Harry Vinall-Smeeth. "A Lower Bound on Unambiguous Context Free Grammars via Communication Complexity." Proceedings of the ACM on Management of Data 3, no. 2 (2025): 1–19. https://doi.org/10.1145/3725225.

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Motivated by recent connections to factorised databases, we analyse the efficiency of representations by context free grammars (CFGs). Concretely, we prove a recent conjecture by Kimelfeld, Martens, and Niewerth (ICDT 2025), that for finite languages representations by general CFGs can be doubly-exponentially smaller than those by unambiguous CFGs. To do so, we show the first exponential lower bounds for representation by unambiguous CFGs of a finite language that can efficiently be represented by ambiguous CFGs. Our proof first reduces the problem to proving a lower bound in a non-standard mo

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Xia, Yan Chun. "The Establishment of a Flexible PdM System for Industry Detection." Applied Mechanics and Materials 263-266 (December 2012): 457–61. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.457.

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The universal predictive maintenance(PdM) system framework integrated several common and important technologies is established in the paper. It is very important to choose and design the relative technologies for the PdM system in the real application at different factories. Here the reasons and method of the system establishment are explained. The functions and structures of the system are analyzed. The establishment of the database of the system is proposed. The PdM system can be realized flexibly based on the real conditions in the real industry application.

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LEE, CHAN-SU, and AHMED ELGAMMAL. "DYNAMIC SHAPE STYLE ANALYSIS: BILINEAR AND MULTILINEAR HUMAN IDENTIFICATION WITH TEMPORAL NORMALIZATION." International Journal of Pattern Recognition and Artificial Intelligence 24, no. 07 (2010): 1133–57. http://dx.doi.org/10.1142/s0218001410008330.

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Modeling and analyzing the dynamic shape of human motion is a challenging task owing to temporal variations in the shape and multiple sources of observed shape variations such as viewpoint, motion speed, clothing, etc. We present a new framework for dynamic shape analysis based on temporal normalization and factorized shape style analysis. Using a nonlinear generative model with motion manifold embedding in a low-dimensional space, we detect cycles of periodic motion like gait in different views and synthesize temporally-aligned shape sequences from the same type of motion at different speeds.

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Jayasekara, Sivakolundu, Hithanadura Dassanayake, and Anil Fernando. "A Novel Image Retrieval System Based on Histogram Factorization and Contextual Similarity Learning." Applied Mechanics and Materials 380-384 (August 2013): 4148–51. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4148.

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Image retrieval has been a top topic in the field of both computer vision and machine learning for a long time. Content based image retrieval, which tries to retrieve images from a database visually similar to a query image, has attracted much attention. Two most important issues of image retrieval are the representation and ranking of the images. Recently, bag-of-words based method has shown its power as a representation method. Moreover, nonnegative matrix factorization is also a popular way to represent the data samples. In addition, contextual similarity learning has also been studied and

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Kibet, Joy J., and Sammy Letema. "Energy use and greenhouse gas emissions in selected tea factories in Kenya." PLOS Climate 3, no. 10 (2024): e0000329. http://dx.doi.org/10.1371/journal.pclm.0000329.

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Tea sector is a major contributor to Kenya’s economy through foreign exchange via export. However, extensive amount of energy is required to produce one kilogram of tea, making tea processing energy-intensive. Comparing greenhouse gas emissions from different types of energy consumed in tea factories is imperative to enable policymakers make informed intervention in emission reduction. Reducing greenhouse gas emissions in tea factories is one of the pathways to meeting Kenya’s nationally determined 32% reduction of carbon emissions by 2030 and commitment to the Paris Agreement. This paper asse

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Tziavelis, Nikolaos, Wolfgang Gatterbauer, and Mirek Riedewald. "Beyond equi-joins." Proceedings of the VLDB Endowment 14, no. 11 (2021): 2599–612. http://dx.doi.org/10.14778/3476249.3476306.

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We study theta-joins in general and join predicates with conjunctions and disjunctions of inequalities in particular, focusing on ranked enumeration where the answers are returned incrementally in an order dictated by a given ranking function. Our approach achieves strong time and space complexity properties: with n denoting the number of tuples in the database, we guarantee for acyclic full join queries with inequality conditions that for every value of k , the k top-ranked answers are returned in O ( n polylog n + k log k ) time. This is within a polylogarithmic factor of O ( n + k log k ),

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Yang, Yu Xue, Xiang Su, Jian Lu, and Ye Wei Xu. "Review on Smart Factory Operations: A Bibliometric Analysis." Applied Mechanics and Materials 906 (April 29, 2022): 87–104. http://dx.doi.org/10.4028/p-40l741.

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Over the last few years, existing and emerging Information and Communication Technologies (ICT) and artificial intelligence have been changing the way that factories conduct their manufacturing activities. Operation system of smart factories has been of great interest to researchers in recent years. However, the research concerning operations for the smart factory is still at the nascent stage. To address this need, we conduct a citation and co-citation analysis on smart factory operation system research published in the 11-year period from 2010-2020. A total of 351 papers were selected from W

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Liu, Bai Lin, Wen Chen, Lei Li, and Qin Ren Xiong. "Material Performance Data Acquisition and Management System for Welded Pipe Used in the 2nd West-East Gas Pipeline." Advanced Materials Research 581-582 (October 2012): 1176–79. http://dx.doi.org/10.4028/www.scientific.net/amr.581-582.1176.

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To improve the performance data management efficiency of welded pipe used in the 2nd west to east gas pipeline, a distributed performance data acquiring and management system for welded pipe was developed. The system was established by using two-level three-tier Client/Server model. Performance data for welded pipe from different factories was acquired at clients and input to local database. The data then can be analyzed at local, or be transferred to the server through networks for unified storage and analysis. The System has functions as data management, file transferring, standard technolog

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Nikolyukin, Danila, Vladimir Peters, Mikhail Popov, and Andrey Kryshchenko. "CHOOSING A NEURAL NETWORK MODEL AND ARCHITECTURE FOR A TECHNICAL VISION SYSTEM FOR DETECTING SUGAR BEET ROOT CROPS." SCIENCE IN THE CENTRAL RUSSIA, no. 2 (April 27, 2024): 98–105. http://dx.doi.org/10.35887/2305-2538-2024-2-98-105.

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The use of a technical vision system, aimed at ensuring greater safety of sugar beet roots during harvesting and storage by analyzing raw materials arriving at factories, is considered among the methods of long-term storage. The process of distribution of trucks at the receiving point of sugar factories is considered by humans in the work. The purpose of the work is to develop a method for detecting sugar beet roots on an image of the surface of a truck embankment at the receiving point of sugar factories. A neural network was chosen as the raw material recognition method due to the extremely

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CHAVES JUNIOR, Wankes Solony de Carvalho. "Engenharia de Materiais no âmbito da Indústria 4.0." RCMOS - Revista Científica Multidisciplinar O Saber 1, no. 6 (2024): 1–9. http://dx.doi.org/10.51473/rcmos.v1i1.2020.112.

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Industry 4.0 has shown itself to be substantially present in manufacturing industries, and its processes can be associated with so-called smart factories, with technology used to optimize activities, seeking, therefore, to guarantee accurate results in comparison with companies that are not included. no model of industry 4.0. The objective of this article is to carry out an integrative review of the literature with a view to delineating the changes possibly required for Industry 4.0 in the area of material engineering to adapt it to this new industrial revolution (fourth) cenário. The operatio

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Sebetci, Özel, Murat Şimşek, and İrfan Yilmaz. "Classification of Cell Line Halm Machine Data in Solar Energy Panel Production Factories Using Artificial Intelligence Models." El-Cezeri Fen ve Mühendislik Dergisi 12, no. 1 (2025): 44–53. https://doi.org/10.31202/ecjse.1580430.

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This study presents a quality estimation method for photovoltaic cells in solar panels using advanced machine learning techniques, including traditional methods and convolutional neural networks (CNNs). Photovoltaic cells, primarily made of crystalline silicon, are critical for converting sunlight into electrical energy, and their efficiency directly affects the performance and lifespan of solar panels. The study focuses on evaluating the electroluminescence values of cells using the HALM device, which measures key parameters that determine cell quality. To enhance the CNN model’s performance,

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Wu, Yangjie. "Searching for the heritage of the Second Sino-Japanese War: A study on the site selection strategy of the defence industrial buildings of the National Resources Commission (1937–1945)." PLOS ONE 19, no. 11 (2024): e0311436. http://dx.doi.org/10.1371/journal.pone.0311436.

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China’s heritage protection programme has gradually included the defence industry, and many industrial buildings related to defence have been included in the national list of cultural relics for protection. The relevant research mainly concerns the value of these heritage sites, lacking of research on the site selection and construction of buildings. This field also ignores the significant historical background of the Second Sino-Japanese War. This paper researches the National Resources Commission (NRC) during the Second Sino-Japanese War. It studies its site selection strategy for the 28 fac

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Li, Hai Ming, Li Mei Zhang, and Feng Sa. "Design the Integrated Multipurpose Instrument Calibrating Equipment Based on the PXI and LabVIEW." Advanced Materials Research 1037 (October 2014): 134–38. http://dx.doi.org/10.4028/www.scientific.net/amr.1037.134.

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According to the function, the technical indexes and the cost control etc, we select the embedded control computer and virtual instrument module based on the PXI, and developed the integrated multipurpose instrument calibrating equipment, it realized the field measurement and calibration of the electrical instrument away from the laboratory. The system is designed based on PXI and LabVIEW, it uses virtual instrument technology, automatic control technology and database technology, by combining these functional modules of NI, we realized the calibration of electrical instruments such as digital

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Cao, Yan, Sen Cao, Yu Bai, and Xiao Fei Yang. "CBR-Based Cutting Parameter Selection System and Searching Algorithm for Metal Machining Operations." Advanced Materials Research 710 (June 2013): 554–57. http://dx.doi.org/10.4028/www.scientific.net/amr.710.554.

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At present, most factories choose cutting parameters only depending on experience or handbooks in production. To improve the intelligent level of cutting parameter selection, Case-Based Reasoning (CBR) is used to search rational cutting parameters. The structure of a CBR-based cutting parameter selection system is presented and its functional modules are discussed. CBR-based cutting parameter selection system is mainly composed of case base management system, cutting parameter database management system, application, interface, etc. A complete case is composed of four parts, i.e., objectives,

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Segarwati, Yulia, Nurhayati Nurhayati, Trisa Nurkania, Yuyun Yuniarti, and Maun Jamaludin. "Implementation of supply chain management using the ERP system at XYZ Company Indonesia." Research Horizon 2, no. 6 (2022): 561–67. http://dx.doi.org/10.54518/rh.2.6.2022.561-567.

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Supply Chain Management (SCM) is a network of companies working to create and deliver a product to the end user. These companies include suppliers, factories, distributors, shops or retail, as well as supporting companies such as logistics services. The company is integrated with an ERP or enterprise resource planning system that combines each department into one database to save time in its use. In this study, researchers implemented supply chain management and this ERP system at XYZ Company Indonesia. A company engaged in the marketing and distributing various goods for consumption, includin

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Yaghi, Y., and H. Salim. "INTEGRATION OF RS/GIS FOR SURFACE WATER POLLUTION RISK MODELING. CASE STUDY: AL-ABRASH SYRIAN COASTAL BASIN." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 13, 2017): 949–54. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-949-2017.

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Recently the topic of the quality of surface water (rivers – lakes) and the sea is an important topics at different levels. It is known that there are two major groups of pollutants: Point Source Pollution (PSP) and non-point Source pollution (NPSP). Historically most of the surface water pollution protection programs dealing with the first set of pollutants which comes from sewage pipes and factories drainage. <br><br> With the growing need for current and future water security must stand on the current reality of the coastal rivers basin in terms of freshness and cleanliness and

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Zhang, Guangchao, and Junrong Liu. "Intelligent vehicle modeling design based on image processing." International Journal of Advanced Robotic Systems 18, no. 1 (2021): 172988142199334. http://dx.doi.org/10.1177/1729881421993347.

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With the urgent demand of consumers for diversified automobile modeling, simple, efficient, and intelligent automobile modeling analysis and modeling method is an urgent problem to be solved in current automobile modeling design. The purpose of this article is to analyze the modeling preference and trend of the current automobile market in time, which can assist the modeling design of new models of automobile main engine factories and strengthen their branding family. Intelligent rapid modeling shortens the current modeling design cycle, so that the product rapid iteration is to occupy an acti

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Park, Jonghyuk, Eunyoung Choi, and Yerim Choi. "Real-World Failure Prevention Framework for Manufacturing Facilities Using Text Data." Processes 9, no. 4 (2021): 676. http://dx.doi.org/10.3390/pr9040676.

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In recent years, manufacturing companies have been continuously engaging in research for the full implementation of smart factories, with many studies on methods to prevent facility failures that directly affect the productivity of the manufacturing sites. However, most studies have only analyzed sensor signals rather than text manually typed by operators. In addition, existing studies have not proposed an actual application system considering the manufacturing site environment but only presented a model that predicts the status or failure of the facility. Therefore, in this paper, we propose

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Torras, Carme. "Service Robots for Citizens of the Future." European Review 24, no. 1 (2016): 17–30. http://dx.doi.org/10.1017/s1062798715000393.

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Robots are no longer confined to factories; they are progressively spreading to urban, social and assistive domains. In order to become handy co-workers and helpful assistants, they must be endowed with quite different abilities from their industrial ancestors. Research on service robots aims to make them intrinsically safe to people, easy to teach by non-experts, able to manipulate not only rigid but also deformable objects, and highly adaptable to non-predefined and dynamic environments. Robots worldwide will share object and environmental models, their acquired knowledge and experiences thr

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Galindo, Inmaculada, Eladio Viñuela, and Angel L. Carrascosa. "Characterization of the African swine fever virus protein p49: a new late structural polypeptide." Microbiology 81, no. 1 (2000): 59–65. http://dx.doi.org/10.1099/0022-1317-81-1-59.

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The open reading frame B438L, located within the EcoRI B fragment of the African swine fever virus genome, is predicted to encode a protein of 438 amino acids with a molecular mass of 49·3 kDa. It presents a cell attachment RGD (Arg–Gly–Asp) motif but no other significant similarity to protein sequences in databases. Northern blot and primer extension analysis showed that B438L is transcribed only at late times during virus infection. The B438L gene product has been expressed in Escherichia coli, purified and used as an antigen for antibody production. The rabbit antiserum specific for pB438L

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Lin, Yvheng. "Parameter Optimization in DeBERTa for Text Classification Using PCA on Limited GPU Resources." Highlights in Science, Engineering and Technology 120 (December 26, 2024): 88–94. https://doi.org/10.54097/cq798v58.

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This study focuses on optimizing Decoding-enhanced Bidirectional Encoder Representations from Transformers with disentangled Attention (DeBERTa) for text classification tasks, particularly on smaller datasets with limited GPU resources, by using Principal Component Analysis (PCA) to adjust and explain parameter choices. The goal is to reduce the model's parameters without significantly compromising accuracy. Specifically, the research employs DeBERTav3 on the Internet Movie Database (IMDb) dataset, without pre-training, and uses PCA to analyse the embedding and attention components of the mode

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Zemrane, Hamza, Youssef Baddi, and Abderrahim Hasbi. "Routing Communication Inside Ad Hoc Drones Network." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 17 (2021): 192. http://dx.doi.org/10.3991/ijim.v15i17.19179.

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The world knows a constant development of technology applied in different sectors of activities: health, factories, homes, transportation, and others, one of the big axes that take a lot of attention today is the drone’s field. To communicate information a fleet of drones can use different communication architectures: centralized communication architecture, satellite communication architecture, cellular network communication architecture and a specific AdHoc communication architecture called the UAANET drones architecture. In our work we focused specifically on the routing of information insid

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He, Yuan, Xin-Yue Huang, and Francis Eng Hock Tay. "Fabric Defect Detection based on Improved Object as Point." International Journal of Computer Science and Information Technology 13, no. 3 (2021): 1–13. http://dx.doi.org/10.5121/ijcsit.2021.13301.

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In the field of fabric manufacturing, many factories still utilise the traditional manual detection method. It requires a lot of labour, resulting in high error rates and low efficiency. In this paper, we represent a realtime automated detection method based on object as point. This work makes three attributions. First, we build a fabric defects database and augment the data to training the intelligence model. Second, we provide a real-time fabric defects detection algorithm, which have potential to be applied in manufacturing. Third, we figure out CenterNet with soft NMS will improved the per

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