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检索条件"任意字段=2023 International Research Conference on Smart Computing and Systems Engineering, SCSE 2023"

共 8072 条记录，以下是21-30 订阅

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Internet of Energy (IoE): A Comprehensive Review of Design, Principles, and Architectural Frameworks 15th

Internet of Energy (IoE): A Comprehensive Review of Design, ...

引用

15th international conference on e Infrastructure and e Services for Developing Countries

作者： Abdalla, Rania Salih Ali, Elmustafa Sayed Mahbub, Sara A. Mokhtar, Rania A. Ahmed, Zeinab E. Taif Univ Dept Comp Engn Al Taif Saudi Arabia Red Sea Univ Dept Elect & Elect Engn Port Sudan Sudan Sudan Univ Sci & Technol Dept Elect Engn Khartoum Sudan Int Islamic Univ Malaysia Dept Elect & Comp Engn Kuala Lumpur Malaysia Univ Gezira Dept Comp Engn Wad Madani Sudan

ISBN: (纸本)9783031815690;9783031815706

Design of energy resources, transmission, distribution, and consumption in network architecture is becoming a challenging energy optimization issue. The demand for power analysis becomes a key pillar in sustainable renewable energy and adaptation to climate change. State-of-the-art technologies can play a vital role in realizing the new architectural design for smart grids and cities. The 4th generation mobile network is considered a critical technology and enabler. The 3GPP standard body is set to a target of 35% of the deployment of the 4G to be Low Power Wide Area (LPWA) network by 2020. LPWA is an Internet of Energy (IoE) structure that can provide a comprehensive stream of energy sector applications. The IoE with intelligent computing tools can dramatically enhance energy efficiency, improve and sustain renewable energy, and diminish energy contamination's ecological effects. This paper reviews the literature on the IoE design principles and architecture models comprehensively. it also explains IoE enabling technologies, including fog computing and various interoperability and data analysis standards.

关键词： Communications and measurement technology smart energy systems smart grid IoE Computational Tools IoE Design IoE Interoperability IoE Standards IoE Cyber Security

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Design and implementation of a smart farming system for Jidong County based on the Django framework 2

Design and implementation of a smart farming system for Jido...

引用

2nd international conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024

作者： Chen, Zhiwei Li, Lin Han, Yuejiao Ma, Yangyang Heilongjiang University of Technology Heilongjiang Jixi158100 China

ISBN: (纸本)9781510689053

With the continuous development of science, technology, and society, traditional farming models have fallen behind the times. In particular, there are many individual farmers in rural areas who primarily use self-produced, self-sold models, which lack timely feedback on livestock growth and hinder unified market regulation, significantly slowing the development of the market economy. With the popularization of internet technology and the advancement of artificial intelligence, building a smart agricultural ecosystem for centralized management of individual farmers and their livestock products has become a necessary trend in social development. Currently, there is limited research in China on developing smart farming systems for unified management of farmers, but some foundational research has been conducted in the design and implementation of smart farming systems. To address the issues in Jidong County's livestock industry, such as the inability to centrally manage farmers and livestock products and delays in information feedback, this paper designs and builds a smart farming system based on the Django framework. This system uses the Django web framework and MySQL database, with frontend and backend code written in Python, HTML, and other languages. The smart farming system enables functionalities such as user registration, login, data uploading, and data statistics. Additionally, it uses *** and highchart to present statistical data in graphical form to the administrator, allowing for a more intuitive understanding of farmers and their products, thereby achieving unified regulation and management of farmers and livestock products. The system has passed functionality and performance tests, providing a supportive platform and technical assurance for centralized management of individual farmers and livestock products, achieving an initial smart farming model. © 2025 SPIE.

关键词： Information management

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Combination kernel support vector machine based digital twin model for prediction of dyslexia in distributed environment 2nd

Combination kernel support vector machine based digital twin...

引用

2nd international conference on Next-Generation computing and Information systems, ICNGCIS 2023

作者： Kareemullah, H. Quraishi, Aadam Prashant, G.C. Shabaz, Mohammad Kollu, Archana Sandhu, Mukta B.S.A Crescent Institute of Science and Technology Tamil Nadu Chennai India Interventional Treatment Institute Houston Texas USA McAllenTX United States USA University Texas Tech University Lubbock StateTX United States Model Institute of Engineering and Technology J&K Jammu India Pimpri Chinchwad College of Engineering and Research Ravet Pune India Skill Department of Computer Science and Engineering Shri Vishwakarma Skill University Haryana Palwal India

ISBN: (纸本)9781032738659

Dyslexia is a learning disability that is widespread and marked with a persistent problem with word identification and spelling. It has an impact on a person’s capacity to decipher letters and words accurately and fluently. Dyslexia has emerged as one of the most widespread learning disabilities, though the medical experts have not yet come out explaining its core causes. In this research, the prediction and classification of dyslexia is effectively carried out with the help of brain images which acts as input to machine learning techniques towards the prediction of dyslexia. The proposed dyslexic prediction model uses a Combination digital twin Kernel-based Support Vector Machine (KSVM) optimized by Whales algorithm. The combination kernel SVM shows better accuracy and less computational time compared to single kernel of SVM in a distributed environment. The proposed combinational kernel is less complex than deep learning models. © 2025 The Author(s).

关键词： Support vector machines

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research on path planning of intelligent vehicles 4

Research on path planning of intelligent vehicles

引用

2024 4th international conference on Intelligent Traffic systems and smart City, ITSSC 2024

作者： Yan, Qiyan Liu, Xia Chang, Zhoulin School of Mechanical and Electrical Engineering Guangdong University of Science and Technology Dongguan523083 China

ISBN: (纸本)9781510686304

With the continuous improvement of intelligence and driving safety requirements, accurately sensing the external environment and planning paths reasonably and efficiently has become one of the research hotspots in intelligent vehicles. Based on the study of intelligent vehicle architecture and predictive control schemes, this article focuses on the research of trajectory planning algorithms. This article proposes an improved RRT* algorithm based on the principle of fast random tree algorithm (RRT). This algorithm introduces a bidirectional random tree search strategy to shorten the convergence time and improve computational efficiency;By using redundant point clipping and B-spline curve fitting methods, the algorithm generates relatively smooth paths. Build a narrow channel environment and a multi obstacle environment in MATLAB software environment for simulation verification. The simulation results show that compared to the traditional RRT* algorithm, the improved RRT* algorithm outperforms the traditional RRT* algorithm in terms of planning speed, path length, and number of sampling nodes. © 2025 SPIE.

关键词： MATLAB

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Blockchain-Based C2C Business Models in a smart City

Blockchain-Based C2C Business Models in a Smart City

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international conference on Marketing and Technologies, ICMarkTech 2023

作者： Lukovac, Petar Simić, Milica Duranović, Marija Radenković, Miloš Labus, Aleksandra Faculty of Organizational Sciences University of Belgrade Belgrade Serbia School of Computing Union University Belgrade Serbia

ISBN: (纸本)9789819736973

This article discusses the potential of C2C business models in a smart city. The goal is to analyze the benefits of implementing blockchain technology in collision with IoT by increasing safety and transparency of collected information. In the article, creation of blockchain and smart city infrastructure as a platform for future development of various services is proposed. This way, businesses would be able to develop specific solutions that promote sharing economy with less difficulty. This article proposes an extended business model covering multiple aspects specific for the case of smart cities. Lastly, the results and conclusions of the short survey of our target group, regarding preliminary readiness assessment, are presented. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Blockchain Business model C2C Sharing economy smart city

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Sharenting: Navigating the Intersection of Parental Sharing and Child Cybersecurity 3rd

Sharenting: Navigating the Intersection of Parental Sharing ...

引用

3rd international conference on Intelligent computing Techniques for smart Energy systems, ICTSES 2023

作者： Trikha, Anadi Saini, Kavya Rajasthan Technical University Rajasthan Kota India International School of Informatics and Management Rajasthan Jaipur India

ISBN: (纸本)9789819784639

Sharenting happens when parents or relatives post photos of their children, usually minors, on social media. However, this has privacy-compromising and child-risking consequences, which may lead to cyber fraud. The paper aims to validate a digital parental sharing scale (DPSS) in the Indian Context. A proper process of designing and validating the scale was carried out on a sample of 250 Indian parents. With the help of analytical tools, the validity and reliability of the analysis were validated. A fourteen-item scale was validated based on social acceptance, Privacy and control, Memories and milestones, and Cyber Security. With good psychometric properties, the scale is validated as a reliable instrument for recording the level of sharenting amongst Indian Parents. The research paper is limited to understanding the level of sharenting by Indian parents. It has not explored the effects of sharenting on Indian children. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cybersecurity

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Analysis of the research Status and Development Trend of Urban Transportation System in the Era of Artificial Intelligence 24

Analysis of the Research Status and Development Trend of Urb...

引用

3rd international conference on Artificial Intelligence and Intelligent Information Processing, AIIIP 2024

作者： Deng, Tingyin Jiang, Xuemei Wang, Meiling Luo, Jingwen Sichuan Key Provincial Research Base of Intelligent Tourism Sichuan University of Science and Engineering Sichuan Zigong China Academy of Fine Arts Sichuan University of Science and Engineering Sichuan Zigong China

ISBN: (纸本)9798400707308

The swift growth of industrial urban areas urgently calls for a shift from conventional to intelligent urban centers. In this context, transportation emerges as a primary entry point and fundamental pillar for this transformation, poised to revolutionize urban management and service models. To uncover the evolutionary trends of urban transportation systems in the age of artificial intelligence, this paper utilizes the Web of Science core database as its retrieval source, employing tools such as Citespace 6.2R6 and Vosviewer for visual analysis of the retrieved literature. The research findings indicate that the overall number of publications in this field has shown an upward trend from 2005 to 2024, passing through three stages: emergence, exploration, and stabilization. China stands out as the leading force in this research domain, with ZHANG J identified as a key author exerting significant influence. The research hotspots converge around four themes: intelligent transportation management, deep intelligent models, intelligent transportation systems(ITS) and smart transportation frameworks. In summary, ITS have witnessed substantial development, and their role in future urban transportation management is set to become increasingly important. With continuous technological advancements and sustained policy support, it is anticipated that ITS will achieve broader applications and deeper research in the coming years. © 2024 Copyright held by the owner/author(s).

关键词： research and development management

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Novel Sandwich-Stacked Heterojunction Junctionless TFET for Low Power Applications 3rd

Novel Sandwich-Stacked Heterojunction Junctionless TFET for ...

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3rd international conference on Intelligent computing Techniques for smart Energy systems, ICTSES 2023

作者： Singh, Neha Birla, Shilpi Dargar, Shashi Kant Shukla, Neeraj Kumar Department of Electronics and Communication Engineering Manipal University Jaipur Rajasthan Jaipur India Kalasalingam Academy of Research and Education Tamil Nadu Krishnankoil India Department of Electrical Engineering King Khalid University Abha Saudi Arabia

ISBN: (纸本)9789819784639

Junctionless Tunnel Field Effect Transistor (JL-TFET) is widely studied as a replacement for standard Metal Oxide Semiconductor Field Effect Transistor (MOSFET) structure for low power applications. These JL-TFET structures are explored to provide a higher current ratio and Subthreshold Slope (SS) well below 60 mV/decade. This paper proposes a Ta2O5 oxide-based heterojunction JL-TFET together with GaAs layers sandwiching the drain region, to achieve the current ratio of the order of 109 and SS of 31.21 mV/decade. This paper further explores the effect of oxide thickness and the choice of dielectric material for gate oxide for the proposed design. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Heterojunctions

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Automatic APT Attack Reconstruction Supporting Lateral Movement 2nd

Automatic APT Attack Reconstruction Supporting Lateral Movem...

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2nd international conference on Security and Information Technologies with AI, Internet computing and Big-data Applications, SITAIBA 2023

作者： Fan, Chun-I Wu, Wei-Chen Shie, Cheng-Han Kuo, Hsin-Nan Lee, Bo-Yi Department of Computer Science and Engineering National Sun Yat-sen University Kaohsiung Taiwan National Center for High-Performance Computing Hsinchu Taiwan Information Security Research Center National Sun Yat-sen University Kaohsiung Taiwan

ISBN: (纸本)9789819777853

This work proposes a framework for generating datasets that allows users to adjust the APT attack techniques within it. The framework utilizes the MITRE ATT&CK framework to label the attack traffic based on the Tactics, Techniques, and Procedures (TTP), which facilitating researchers in using the datasets for model training. Meanwhile, this work uses the framework to reconstruct the APT29 attack process and collect a dataset to validate the framework’s feasibility. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Advanced Persistent Threat (APT) Dataset generation The APT29 attack Threat intelligence

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Artificial Intelligence Applied to Air Quality in smart Cities: A Bibliometric Analysis

Artificial Intelligence Applied to Air Quality in Smart Citi...

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international conference on Communication and Applied Technologies, ICOMTA 2024

作者： Cáceres-Tello, Jesús Galán-Hernández, José Javier Department of Information Systems and Computing Complutense University Madrid28040 Spain

ISBN: (纸本)9789819604258

Artificial intelligence (AI) has proven to be a fundamental tool in various fields, and its application in managing air quality in smart Cities is no exception. AI has facilitated the automated collection and analysis of environmental data, enabling precise and real-time monitoring of air quality in urban environments. Furthermore, it has enabled the prediction of air pollution levels, identification of pollutant sources, and implementation of effective corrective measures to improve air quality and protect citizens’ health. This bibliometric study, covering the period from 2019 to 2023 and employing tools such as VOSViewer for data visualization, reveals emerging trends in research on AI applied to air quality management in smart Cities. Areas of interest identified include "AI Models for Environmental Monitoring," "AI systems for Air Quality Prediction," "AI Applications in Pollution Mitigation," and "AI Technologies for Environmental Management Decision-Making". This bibliometric analysis highlights the growing importance of AI in seeking innovative solutions to address air quality challenges in urban environments, thereby contributing to the creation of healthier and more sustainable cities. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Environmental monitoring

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