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

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Optimization of Production Scheduling for Prefabricated Buildings Under the Background of Dual Carbon Goals 1

引用

16th International Conference on Ubiquitous Computing and Ambient Intelligence

作者： Xu, Lixian Xia, Qishuo Liu, Jun Zou, Li Yu, Dehu Ulster Univ Sch Comp Coleraine Londonderry North Ireland Qingdao Univ Technol Sch Civil Engn Qingdao Peoples R China Shandong Jianzhu Univ Sch Comp Sci & Technol Jinan Peoples R China Shandong Jianzhu Univ Sch Civil Engn Jinan Peoples R China

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

Prefabricated buildings are a modern construction method characterized by standardized design of prefabricated components, factory-based production, and assembly-based construction. They offer numerous advantages, including shorter construction periods, reduced environmental pollution, and less construction waste. In recent years, under the backdrop of carbon neutrality and carbon peaking, a series of policies and support from the Chinese government have promoted and applied prefabricated buildings in urban construction and renovation projects. However, during the implementation of projects, the on-site allocation of prefabricated components for residential buildings faces challenges such as insufficient dynamism in demand planning, low on-site allocation efficiency, and various uncertainties in the scheduling process. To better assist prefabricated component factories in formulating production plans, improve the supply chain management system for prefabricated components, and achieve high-quality transformation and upgrading of construction methods, This paper focuses on the production scheduling problem of prefabricated components, aiming to minimize component production completion time, overtime and delivery costs, and machine carbon emissions. It establishes an optimization model for prefabricated component production scheduling based on the improved NSGAII algorithm, assisting enterprises in making robust decisions when balancing cost reduction, shortening construction periods, and reducing carbon dioxide emissions.

关键词： prefabricated building carbon emissions resource-constrained project scheduling multi-objective optimization

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Proposal for an Information Security Management System for the Enrollment Process of a University 13th

Proposal for an Information Security Management System for t...

引用

13th Computer Science Online Conference

作者： Luque, Silvia Linares, Jeseth Ticona, Wilfredo Univ Tecnol Peru Lima Peru Univ ESAN Lima Peru

ISBN: (纸本)9783031702846;9783031702853

The present study aims to implement acquired knowledge and apply it to enhance the enrollment process at a university. This initiative stems from various studies, including those focused on measuring risk prevention strategies, specifically in the enrollment domain, due to the increasing diversity of university course offerings. Consequently, the following objective is proposed: to suggest an Information Security Management System (ISMS) to improve the university enrollment process. To achieve this, the plan involves developing an ISMS using the PDCA methodology, which comprises four phases. Initially, it aims to identify the characteristics and indicators to establish the proposal. Subsequently, the focus shifts tomaintaining and implementing problem-solving policies. In the third phase, results are evaluated, and finally, alternative improvements are proposed. All these steps align with the guidelines of ISO 27001:2013. As this is a proposal yet to be executed, the results are assessed using statistical software to compare correlations between the ISMS and the enrollment process, thus addressing the proposed hypotheses. It is found that a relationship exists between the variables and can be developed since one influence the other. This is evidenced by a Spearman's Rho coefficient of 0.474, indicating a moderate positive correlation, measured at a significance level less than 0.05. In conclusion, the analysis of various articles in this study has underscored the importance of developing an Information Security Management System in the university context, particularly in the enrollment process. This enables adaptation to change in security risks.

关键词： Information Security Management System PDCA ISO/IEC 27001:2013 Standard Enrollment Process University

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Deep Learning Models for Inventory Decisions: A Comparative Analysis 1

引用

Intelligent systems Conference (IntelliSys)

作者： Moraes, Thais de Castro Yuan, Xue-Ming Chew, Ek Peng Natl Univ Singapore Singapore 117576 Singapore ASTAR Singapore 138634 Singapore

ISBN: (数字)9783031477249

ISBN: (纸本)9783031477232;9783031477249

Over the past decade, a range of studies evaluated the benefits of considering machine learning methods and the power of auxiliary data to improve sales forecasting accuracy;however the analysis of how the forecasting predictions translate to lower cost inventory decisions is still in incipient stage. The focus of this contribution is to compare how different deep learning architectures leverage the potential of data features to achieve better demand estimation outputs and consequently contribute to a better optimization of single-period inventory decisions, also known as Newsvendor Problem. Additionally, we compare the performance of traditional model-based versus data-driven approaches for solving the Newsvendor Problem. We test the models in a real-world retail dataset and empirically show that recurrent architectures are the most successful in extracting the relevant features and processing large amounts of sequential data to achieve accurate forecasts that are used as input in the subsequent optimization step. Moreover, the data-driven inventory models outperformed in all the settings, providing the ordering decisions with the lowest mismatch costs.

关键词： Forecasting Inventory Optimization Newsvendor Problem Auxiliary Data Deep Learning

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K Minimum Enclosing Balls for Outlier Detection 15th

K Minimum Enclosing Balls for Outlier Detection

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15th International Workshop on Self-Organizing Maps, Learning Vector Quantization and Beyond (WSOM)

作者： Staps, Daniel Villmann, Thomas Paassen, Benjamin Univ Appl Sci Saxon Inst Computat Intelligence & Machine Learni Mittweida Germany Bielefeld Univ Fac Technol Bielefeld Germany German Res Ctr Artificial Intelligence Educ Technol Lab Kaiserslautern Germany

ISBN: (纸本)9783031671586;9783031671593

Outlier detection means to characterize the distribution of inliers exactly enough such that outliers stand out. A natural and interpretable model is an enclosing ball that includes non-outliers but excludes outliers. However, a single enclosing ball is insufficient for data with multiple, distinct clusters or modes. Therefore, we propose a model with K enclosing balls, each of which can cover a separate cluster of data. We investigate two optimization schemes, one based on stochastic gradient descent and one based on alternating optimization and quadratic programming. On synthetic and real-world data we compare our proposed K minimum enclosing ball (K-MEB) approach to baselines from the literature.

关键词： Outlier Detection One-Class Classification Minimum Enclosing Ball Support Vector Description Interpretability

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Computational Approaches for the Automatic Quantification of Cells from Brain Images 1

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

作者： Lopes, Diogo Campos, Ana Bela Maciel, Patricia Novais, Paulo Fernandes, Bruno Univ Minho LASI ALGORITMI Res Ctr Braga Portugal Univ Minho Sch Med Life & Hlth Sci Res Inst ICVS Braga Portugal PT Govt Associate Lab ICVS 3Bs Braga Portugal

ISBN: (数字)9783031456428

ISBN: (纸本)9783031456411;9783031456428

Microglia are glial cells residing in the central nervous system (CNS). They represent the first line of immune defence within the CNS and are responsible for fundamental physiological and pathological processes. Given their importance, the quantification of these cells is fundamental in a clinical context. However, this process is a major challenge, as conventional cell counting involves a specific set of tools and devices, being extremely costly. Currently, most cell-counting processes are manual. Such processes are time-consuming, tedious, and imprecise, being heavily dependent on the operator. To address this, new approaches have been developed to improve the quantification process. Indeed, an automated solution can greatly increase the standardised process as it shows better accuracy and efficiency. In this work, we compare and demonstrate that, on the one hand, we have classical computational approaches, where software and assistants for automatic cell counting, such as ImageJ, are applied in images that contain scattered cells. On the other hand, deep learning approaches show similar accuracy to the manual counting process but present a significant enhancement in reproducibility and efficiency.

关键词： Computer Vision Deep Learning ImageJ Image Analysis

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Creating Textual Corpora Based on Wikipedia and Knowledge Graphs 12th

Creating Textual Corpora Based on Wikipedia and Knowledge Gr...

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12th World Conference on Information systems and Technologies (WorldCIST)

作者： Chicaiza, Janneth Martinez-Velasquez, Mateo Soto-Coronel, Fabian Bouayad-Agha, Nadget Univ Tecn Particular Loja Loja Ecuador Univ Oberta Catalunya Barcelona Spain

ISBN: (纸本)9783031602207;9783031602214

Information overload reduces the capability of machines to find relevant information. Furthermore, when dynamic topics or emerging events occur that arouse the interest of the community, unofficial or unreliable sources of information quickly emerge that, instead of satisfying the information needs of users, increase misinformation. To address this issue, this paper proposes a method to create domain-specific corpora of text that can offer immediate answers on a particular topic. The approach involves creating a vocabulary of the domain and then creating a textual corpus from Wikipedia pages related to the different terms of the domain. The authors tested this method by creating a specialized corpus for the pollution domain and implementing a process to answer queries about the domain. Preliminary results show that the Q&A system could provide accurate and up-to-date information on the topic, based on Wikipedia, a free-content platform that users continuously feed.

关键词： Controlled vocabulary DBPedia knowledge graphs NLP applications SKOS Wikipedia

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Cultivating Knowledge Sharing in Universities: An Innovative Approach Integrating Deep Learning for Collaborative Learning Platforms

Cultivating Knowledge Sharing in Universities: An Innovative...

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Intelligent systems Conference

作者： Ayodele, Taiwo Oladipupo Zhou, Shikun Solent Univ Dept Sci & Engn East Pk Terrace Southampton SO14 0YN Hants England Univ Portsmouth Sch Comp Buckingham BldgLion Terrace Portsmouth PO1 3HE Hants England

ISBN: (纸本)9783031663284;9783031663291

This research addresses the challenges faced by students and staff in universities and organisations, including comprehension of complex tasks, problem-solving, workload management, and academic progress challenge. Many struggle to meet task requirements and fulfil responsibilities. To alleviate these challenges, we propose an innovative AI-based platform providing on-demand guidance and clarification while prioritising confidentiality and security within ethical guidelines. Through a comprehensive review of existing research, we identify gaps and present a structured framework for platform development and implementation. Our approach, integrating deep learning through natural language processing with transformer models, not only addresses common problems but also fosters a culture of collaborative knowledge-sharing.

关键词： AI-based platform Deep learning integration Natural language processing (NLP) Transformer models Knowledge graph embeddings Graph neural networks GPT models Collaborative knowledge sharing

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Malaysian Local Fruits E-Marketplace System with Intelligent Promotional Feature

Malaysian Local Fruits E-Marketplace System with Intelligent...

引用

Computing Conference

作者： Law, Check-Yee Sek, Yon Wee Tay, Choo-Chuan Chong, Lee-Ying Bin Mislam, Abdul Hanif Multimedia Univ Melaka Malaysia Univ Tekn Malaysia Melaka Melaka Malaysia

ISBN: (纸本)9783031622717;9783031622694;9783031622687

Malaysia is a home to many types of tropical fruit trees due to the tropical climate with high humidity. Fruit trees are planted on a commercial scale and on a small-scale. However, the current procurement systems are too rigid on consistent supply and quality standards that indirectly exclude the small-scale farmers from the supply chain. Besides that, fruits are perishable and need to be sold quickly and selling through intermediaries would cause a hike in price to consumers. This paper presents the design and development of an e-marketplace system to help small-scale farmers to sell Malaysian local fruits online. The system has essential features to support product transactions and various useful functions including bidding function, business analytics, and intelligent promotional and depletion tools to help sellers manage the fruit sales from fresh to end of shelf life. This platform would connect farmers with end consumers, allow independent farmers to effectively sell their local fruits to potential buyers and empower consumers with healthier and reasonably price choices.

关键词： E-commerce E-marketplace Small-scale farmers Malaysian local fruits Tropical fruits

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Implementation Human-Computer Interaction on the Internet of Things Technologies: A Bibliometric Analysis 12th

Implementation Human-Computer Interaction on the Internet of...

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12th World Conference on Information systems and Technologies (WorldCIST)

作者： Pino, Andres Felipe Solis Agudelo, Andres Felipe Ruiz, Pablo H. Mon, Alicia Collazos, Cesar Alberto Moreira, Fernando Univ Cauca Calle 5 4-70 Popayan 190003 Cauca Colombia Corp Univ Comfacauca Unicomfacauca Cl 4 8-30 Popayan 190001 Cauca Colombia Univ Nacl Matanza Florencio Varela 1903 B1754JEC RA-1754 San Justo Buenos Aires Argentina Univ Portucalense REMIT Porto Portugal Univ Aveiro IEETA Aveiro Portugal

ISBN: (纸本)9783031602146;9783031602153

Human-computer interaction has acquired a preponderant role in the domain of the Internet of Things, facilitating the creation of intuitive interfaces and improving user experiences. Despite this, there needs to be more secondary studies characterizing this domain's current state and conceptual structure, leading to a limited understanding of the field. A bibliometric analysis systematically examined 2106 articles published between 2008 and 2023 from Scopus and Web of Science. Publication metadata was analyzed using Bibliometrix and VOSviewer tools to determine significant trends and patterns in the domain. The study results indicate that the annual growth rate of publications was 41.88%, suggesting a growing interest in the field. China led in productivity and funding, followed by the U.S. and the European Union. The research spanned several disciplines, including computer science, engineering, and mathematics, with key research areas focusing on wearables, gamification, and edge computing. The study's main conclusion relates to this domain's rapid growth and multidisciplinary nature, emphasizing user-centered design to address human needs and provide intuitive interactions. It was found that, as the Internet of Things becomes more widespread, human-computer interaction is set to play a critical role in shaping future Internet of Things environments.

关键词： Human-computer Interaction Internet of Things Bibliometric Analysis Technology adoption Scientometrics

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Fuzzy Set-Based Approaches in Wind Energy Research: A Literature Review

Fuzzy Set-Based Approaches in Wind Energy Research: A Litera...

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International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Cem, Ecem Cebi, Selcuk Yildiz Tech Univ Dept Ind Engn TR-34349 Besiktas Turkiye Azerbaijan State Univ Econ UNEC Ind Data Analyt & Decis Support Syst Ctr Istiqlaliyyat St 6 Baku 1001 Azerbaijan

ISBN: (纸本)9783031671913;9783031671920

Wind energy is gaining significance in the context of evolving sustainability and energy policies. According to GWEC Market Intelligence's forecast, an annual addition of 136 GW is anticipated from 2023 to 2027, reaching a total of 680 GW. The optimistic outlook extends to 2030, surpassing prior projections by 13%. This revision reflects the continuous and escalating potential of wind energy, affirming its pivotal role in the ever-evolving landscape of sustainability and energy policies. With the growing popularity of wind energy, there is a noticeable increase in the number of studies conducted in this field. This study aims to investigate the application of fuzzy methods in the field of wind energy research. The research provides detailed answers to questions about how fuzzy methods are used to address wind energy problems and why they are chosen. Fuzzy logic proves effective in handling uncertainties in wind energy problems and offers solutions to complex issues in this field. A comprehensive literature review indicates that fuzzy methods, along with hybrid approaches, are becoming popular in wind energy studies.

关键词： Fuzzy Methods Wind Energy MCDM

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