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检索条件"丛书名=Lecture Notes in Networks and Systems"

共 9905 条记录，以下是3501-3510 订阅

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Industrial Constraints of Production Planning: A Case Study in the Automotive Industry 7th

Industrial Constraints of Production Planning: A Case Study ...

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7th International Conference on Logistics Operations Management (GOL)

作者： Mahmoud, Ayman Benbitour, Hichame Jemai, Zied Sahin, Evren Baratte, Marc Univ Paris Saclay Lab Genie Ind F-91190 Gif Sur Yvette France EM Normandie Business Sch Metis Lab F-92110 Clichy France Renault SAS F-78289 Guyancourt France

ISBN: (纸本)9783031686337;9783031686344

This paper compares production planning in the automotive industry, contrasting fixed industrial capacity constraints with real-time data utilization. It employs real data from a Renault Group manufacturing facility to demonstrate the benefits of improved component availability visibility. We introduce the comparative study on a use case. This work emphasises how real-time data can improve the supply chain's performance and the production plan's quality. By incorporating real-time data, the study successfully reduces the average lead time for order manufacturing and minimizes average lateness by 0.5 production days. The study contributes insights into the impact of constraint flexibility, particularly regarding component availability, on real-world production planning outcomes.

关键词： Production Planning Automotive Industry Industrial Constraints Data in Supply Chain

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A Comparative Study of PSO and MILP Optimization Algorithms for Economic Dispatch in Grid-Tied Microgrids 4th

A Comparative Study of PSO and MILP Optimization Algorithms ...

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4th International Conference on Digital Technologies and Applications (ICDTA)

作者： El Qasery, Mouna Barkouki, Bouthaina E. L. Laamim, Mohamed Rochd, Abdelilah Mahir, Oumaima Abbou, Ahmed Mohammed V Univ Mohamadia Sch Engineers Dept Elect Engn Rabat Morocco Univ Sidi Mohamed Ben Abdellah Lab Signals Syst & Components Fes Morocco Fac Sci & Tech Mohammedia Lab Sci Ingenieur & Biosci LSIB Mohammadia Morocco Hassan II Univ ENSET Elect Engn & Intelligent Syst Lab Green Energy Pk Mohammedia Mohammadia Morocco Green Energy Pk Benguerir Morocco

ISBN: (纸本)9783031686740;9783031686757

The study contributes to addressing the challenge of economic load dispatching inmicrogrids, offering insights into efficient energy management techniques. In an energy management system, the economic dispatch (ED) strategy aims to minimize operating energy costs while ensuring a reliable power supply. The implementation of the ED strategy relies on the use of various optimization methods. This paper presents a comparative study of two optimization algorithms to investigate their performance in solving economic dispatch problems. The two algorithms, which are mixed integer linear programming (MILP) and particle swarm optimization (PSO), were implemented in the Matlab environment and compared in terms of the computational capability and optimization results. By comparing PSO and MILP algorithms, the study aims to identify the most effective approach for optimizing power dispatch in grid-connected microgrids. To validate the proposed approach, a case study of the Solar Decathlon Africa Village project in Ben Guerir, Morocco, is conducted. This real-world application serves to evaluate and verify the efficacy of the methodology in practical settings.

关键词： grid-connected microgrid energy management system economic dispatch mixed integer linear programming particle swarm optimization

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Evaluation and Testing Methodology for the User Interface of a Technical System 13th

Evaluation and Testing Methodology for the User Interface of...

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13th Computer Science Online Conference

作者： Belikova, Svetlana Belikov, Alexander Lipko, Yulia Kucherova, Margarita Southern Fed Univ Taganrog 347900 Russia

ISBN: (纸本)9783031705946;9783031705953

The paper presents a methodology for testing the interface's compliance with the logic of the user's professional activity. It was developed within the framework of an approach, the key feature of which is the study and formation of a logic description of the user's professional actions performed in the subject area, as well as its presentation in the system interface in the form of a task map. This makes it possible to consider the context of the user's activity as a whole and create an interface that best suits this activity, which will make the interface more user-friendly. The presented testing methodology allows us to evaluate the adequacy of the interface to the logic of professional activity through the prism of selected criteria, such as the completeness of filling the user interface with elements and their compliance with data sets and functions of the user's professional activity.

关键词： Design User Interface User Activity Activity Model Testing Interface Evaluation Methodology Performance Criteria

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Enhancing Biogeographical Ancestry Prediction with Deep Learning: A Long Short-Term Memory Approach 2nd

Enhancing Biogeographical Ancestry Prediction with Deep Lear...

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2nd International Conference on Forthcoming networks and Sustainability in the AIoT Era (FoNeS-AIoT)

作者： Almansour, Fadwa Alshammari, Abdulaziz Alqahtani, Fahad Imam Mohammad Ibn Saud Islamic Univ IMSIU Riyadh Saudi Arabia King Abdulaziz City Sci & Technol Natl Ctr Genom & Bioinformat Riyadh Saudi Arabia

ISBN: (纸本)9783031628801;9783031628818

Nowadays, human biogeographical ancestry prediction plays an important role in many domains, such as the forensic domain, to detect missing or suspected people. Despite the advantage and capability of these deep learning models, there were limited investigations on identifying human biogeographical ancestry using deep learning approaches. In this research, we propose to predict biogeographical ancestry using a deep learning approach to distinguish between seven populations (Africans, Europeans, Central-South Asians, Middle-East Asians, East Asians, Native Americans, and Oceanians). We used the Long Short-Term Memory (LSTM) approach to enhance the overall current accuracy models, especially for populations that have gene similarity such as (Europeans, Middle-East Asians, and Central-South Asians). We employed a stratified K-fold cross-validation technique to prevent overfitting and ensure an equal distribution of samples for each fold. The results showed that our model outperformed the existing deep learning algorithm Convolutional Neural Network (CNN), by achieving an overall accuracy of 90.88.

关键词： biogeographical ancestry machine learning biogeographical ancestry machine learning single nucleotide polymorphisms Bioinformatics

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A Comparison of Deep Learning Models for Periocular Region-Based Authentication

A Comparison of Deep Learning Models for Periocular Region-B...

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Intelligent systems Conference (IntelliSys)

作者： Hernandez, Jeffrey J. Dejournett, Rodney Bowser, Justin Yuan, Xiaohong Roy, Kaushik North Carolina A&T State Univ Greensboro NC 27411 USA

ISBN: (纸本)9783031477232;9783031477249

Facial recognition has been widely used within our society, whether it is through identification, classification, or authentication. However, due to the COVID-19 pandemic, facial recognition must adapt to individuals wearing masks to determine if the person is authenticated or not. Facial recognition uses main biometric features, such as eyes, iris, nose, skin tone, and mouth, to accomplish its tasks given. It is possible to identify and authenticate a person using just the periocular region of their face, especially if they are masked. In this paper, we apply deep learning models for authentication based on periocular biometrics of face images with masks. We compared the performance of a basic Convolutional Neural Network (CNN), VGG16, GoogleNet, LeNet, and AlexNet on full face and periocular biometrics-based authentication on masked face images. The individuals will be classified as either authentic or not for a system. We found that all the models performed better on the periocular region of masked face images than on the full-face images. We also found that GoogleNet had the best performance among the models.

关键词： Periocular Biometrics Convolutional Neural networks Deep Learning Authentication

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Evaluating Hydrogen Production Technologies for Transportation in California Using Decomposed Fuzzy Sets 1

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International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Jaller, Miguel Otay, Irem Univ Calif Davis Dept Civil & Environm Engn Sustainable Freight Res Program Inst Transportat Studies Davis CA 95616 USA Istanbul Bilgi Univ Fac Engn & Nat Sci Dept Ind Engn TR-34060 Istanbul Turkiye

ISBN: (数字)9783031700187

ISBN: (纸本)9783031700170;9783031700187

Rapid decarbonization of our economies is imperative if we want to get a chance to curb climate change. Different nations and entities have been developing strategies and plans to decarbonize. The transportation sector, especially freight, is a vital component of everyday life, and the economy is one of the largest contributors to negative externalities such as greenhouse gases and local pollutants. It has also received increased pressure to mitigate its impacts. In California, for example, different policies are promoting the use of cleaner vehicle technologies and fuels. Battery electric and fuel cell (hydrogen) trucks are among the most prominent zero-emission truck technologies for transitioning various freight vocations. Today, technologies and fuels are at different stages of market readiness for mass adoption, and research is trying to identify the best uses for each technology. However, there has been a realization that the supporting infrastructure will play a key role in determining the various options' technical, operational, and financial viability. For hydrogen, there are various production processes with different costs, environmental impacts, technical requirements, and uncertainties, and there is an urgency to invest in developing those technologies and increasing production capacity. Therefore, this paper evaluates different hydrogen production technologies (e.g., electrolysis, biomass gasification, steam methane reforming, pyrolysis, and water splitting) and their potential role in California plans. The study implements an expert-based assessment using the Decomposed Fuzzy Sets (DFS)-based Analytic Hierarchy Process (AHP) methodology to evaluate the technologies' performance against various criteria (environmental, economic, technical, transport and delivery, and social). The study's results provide additional information to address a real-life hydrogen production technologies prioritization problem and perform sensitivity analysis to test the robu

关键词： Hydrogen Production Technologies Transportation MCDM Decomposed Fuzzy Sets

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Earth-Shaping with Heterogeneous Robotic Teams: From Sim to Real 27th

Earth-Shaping with Heterogeneous Robotic Teams: From Sim to ...

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27th International Conference on Climbing and Walking Robots and Mobile Machine Support Technologies (CLAWAR)

作者： Oliva, Federico Shaked, Tom Bar-Sinai, Karen-Lee Shalev, Omer Elmakis, Oren Meles-Braverman, Ari Degani, Amir Technion Israel Inst Technol Civil & Environm Engn Haifa Israel Technion Israel Inst Technol Technion Autonomous Syst Program Haifa Israel

ISBN: (纸本)9783031707216;9783031707223

This work presents an overview of autonomous earth-shaping and aggregate-forming tasks, which we address with a heterogeneous team of Unmanned Ground Vehicles equipped with shovels. Firstly, we introduce Sheperd, a Hardware In the Loop development tool integrated with ROS and physical engines like Gazebo and FlexHopper. We further address the problem of computational cost in these kinds of simulators, providing preliminary results to replace them with a probabilistic model for aggregate motion. We proceed by addressing the following major challenges: localizing the team of robots and mapping the aggregates, as well as efficient motion planning strategies. We address UGV localization and material mapping, utilizing vision-based UAV-UGV collaboration and optimization techniques for robustness. Then, we discuss motion planning, providing solutions to shape on-site material exclusively using pushing actions rather than more standard pick-and-place solutions.

关键词： Earth-Shaping Multi-Agent Planning Localization

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Evaluating Tabular Data Generation Techniques on the DaFne Platform: Insights from a Predictive Maintenance Case Study on Bridges 9th

Evaluating Tabular Data Generation Techniques on the DaFne P...

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9th International Congress on Information and Communication Technology (ICICT)

作者： Baddam, Pramod Glass, Ayse Jaekel, Rene Jander, Jonathan Krause, Tom Kunert, Pamela Noennig, Jaerg Rainer Okhrin, Iryna Sanchez, Mariela Steffens, Ulrike Tech Univ Dresden Ctr Informat Serv & HPC Dresden Germany HAW Hamburg Berliner Tor 5 D-20099 Hamburg Germany HafenCity Univ Digital City Sci Henning Voscherau Pl 1 D-20457 Hamburg Germany Tech Univ Dresden Ctr Scalable Data Analyt & Artificial Intelligenc Chemnitzer Str 46B2nd Floor D-01187 Dresden Germany

ISBN: (纸本)9789819732883;9789819732890

In the realm of artificial intelligence (AI) and machine learning (ML), the scarcity of robust and diverse datasets often poses a significant challenge, prompting the need for effective data generation methods. This paper presents an evaluation of tabular data generation techniques on the DaFne platform, centered around a predictive maintenance case study for bridges. The DaFne platform offers a variety of tabular data generation functionalities, including rule-based creation, data fusion (with weather data), and data reproduction. We investigate the utility of these functionalities across different machine learning models for the prediction of bridge conditions. Our analysis includes a descriptive statistical comparison of real and synthetic data. Additionally, we explore the utility of original, weather, and synthetic datasets. We do this through the lens of ML models like MLR, XGBoost, CNN, and GRU, performing a predictive maintenance algorithm on these datasets. Our results indicate that while the inclusion of weather data did not significantly enhance predictive performance, the synthetic dataset shows satisfactory quality. However, the synthetic data's performance is lower than the original data in predictive maintenance tasks, with differences observed in models heavily reliant on sequential data. This research underscores the potential of the DaFne platform in generating high-quality synthetic data. It also highlights areas for future improvement and offers valuable insights for advancing data generation and analysis techniques in predictive maintenance and other AI applications.

关键词： Tabular data generation Bridge maintenance Machine learning Synthetic data Prediction Evaluation

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Location-Based QR Attendance Application 1

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8th Smart Trends in Computing and Communications (SmartCom)

作者： Shaikh, Nishat Shah, Prathi Vaghani, Deep Tejani, Jeel Lakhani, Harsh CHARUSAT Univ Smt Kundanben Dinsha Patel Dept Informat Technol CSPIT Anand Gujarat India

ISBN: (数字)9789819713295

ISBN: (纸本)9789819713288;9789819713295

The "Location-Based QR Attendance Application" has the potential to completely transform how educational institutions handle attendance. Using the flexible Flutter framework, this application streamlines the process of keeping track of attendance. Teachers can record attendance in a secure and accurate manner by creating QR codes that are connected to their GPS locations. By using their mobile devices to scan the QR code, students can use the system to verify their position and ensure attendance only when they are inside the specified geographic area. This improves data integrity and accountability. The app offers instructors a feature-rich dashboard for managing attendance records. By allowing data export as Excel sheets for simple sharing, it simplifies administrative tasks and lessens the workload for administrators and educators. Viewing their attendance history and quickly learning whether their submission was approved or denied are helpful features for students. They now have more visibility into and control over their attendance records thanks to this. The "Location-Based QR Attendance Application" enhances education by merging technology, efficiency, and transparency. It improves attendance management, reduces administrative work, and empowers students for better engagement, elevating education quality.

关键词： GPS location and QR-based attendance Flutter framework Firebase Excel sheet Attendance tracking Data integrity Transparency Faculty-Student Module

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Something is Wrong with STEM Graduation Students: Teachers' Involvement in Their Citizenship Skills 1

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11st World Conference on Information systems and Technologies (WorldCIST)

作者： Amaro, Paula Mourato, Dulce Polytech Guarda IPG Guarda Portugal Higher Adv Technol Inst ISTEC Lisbon Portugal

ISBN: (数字)9783031456459

ISBN: (纸本)9783031456442;9783031456459

Explain the apparent contradiction and technological education gap that exists and moves away in opposite directions: embedded technologies, synchronous media, an e-learning solutions as an emerging trend was the main goal, far away from past and present face-to-face teaching, similar to middle-aged monologue. It was possible to reflect also, on a years-long rewind observation, on the way teachers teach and students learn in STEM degree courses, after a year of confinement, in two Portuguese Higher Education Institutions, due to COVID-19 Pandemic restrictions. The first perception challenge to use was Charles Peirce's scientific approach as well as PBL and Learnability, always regarding science, technique and the evolution of knowledge, which gives consistency to the literature review. The qualitative methodology used in the case study analyses and discusses: why prospective research is unusual and not used very often in terms of scientific publications. Why not use students' perceptions to be the technologies for all starting points, to create a potential curriculum unit or course, both for teachers' training and students' learning? The case study findings reflect students' concerns about old-fashioned curricula and smart technologies as well as less evolution that blocked the potentialities of Learnability growth and a semiotic way of life to promote personal and professional development. The conclusion is still an open question as it is a risk to create a proposal for technological semiosis, in terms of prospective scientific research. Does it work? It is impossible to know yet, but it is urgent to do something!

关键词： PBL Learnability STEM Semiotic Citizenship

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