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2023 International Conference on Disruptive technologies, ICDT 2023

作者： Kumar, Senthil Atyam, Nageswara Rao Khadar Nawas, K. Awasthi, Shashank Kotteeswaran, M. Thirunavukkarasu, K.S. Koneru Lakshmanan Education Foundation Kl School of Architecture Andhra Pradesh Guntur India Cmr Institute of Technology Electrical and Electronics Department Karnataka Bengaluru India Vellore Institute of Technolog School of Computing Science and Engineering Tamil Nadu Chennai India Gl Bajaj Institute of Technology and Management Department of Computer Science and Engineering Uttar Pradesh Greater Noida India School of Management and Commerce Tamil Nadu Pallavaram Chennai India School of Computing Science Tamil Nadu Pallavaram Chennai India

ISBN: (纸本)9798350323887

Generally, for the buildings constructed in our areas, the conventional foundation known as 'shallow', i.e. from the ground level downwards, is set up in three dimensions such as length, width and depth. Foundations are not the same for all types of structures. The size and structure of the foundation varies depending on the nature of the prevailing soil, ground water level of the plot, type of building, and total load of the structure. In this paper an innovation estimation model was proposed based on light weigth deep learning technique. The proposed model introduces capacity estimation and energy efficiency plans and designs. These are all relating to commercial buildings, craft facilities and mass housing projects to enable design, construction. It also maintains the buildings under minimum energy consumption without stressing the operation of buildings. The health and comfort of the occupants are establishing compliance standards and ensure the maximum standards for energy efficiency in the plans or designs of commercial buildings. The proposed model also focuses the capacity estimation and energy efficiency programs beyond maximum standards. © 2023 IEEE.

关键词： Foundations

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Challenges in Metaverse in Problem-Based Learning as a Game-Changing Virtual-physical Environment for Personalized Content Development 6

Challenges in Metaverse in Problem-Based Learning as a Game-...

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6th Smart Cities Symposium, SCS 2022

作者： Dutta, P.K. Bose, Manoswita Sinha, Akash Bhardwaj, Ramakant Ray, Samrat Roy, Sudipta Prakash, Kolla Bhanu School of Engineering and Technology Amity University Kolkata India School of Computer Application Amity University Kolkata India Department of Mathematics Amity University Kolkata India The Institute of Industrial Management Economics and Trade Peter the Great Saint Petersburg Polytechnic University Russia Artificial Intelligence & Data Science Jio Institute India Department of Computer Science and Engineering Konneru Lakshmaih Education Foundation India

ISBN: (纸本)9781839538544

The benefits and drawbacks of using the metaverse in the field of education are discussed, along with the possibilities and potential issues it will open up. Utilizing the idea of personalised knowledge transfer and the use of an immersive environment to match students' learning pace using horizon classroom, the Metaverse environment can add a new dimension to the field of educational technologies. We have also highlighted the virtualization-based redesign of educational environments using a personalised cloud, which is anticipated to improve learning for students by making it more affordable, collaborative, and useful. The goal is to build a metaversity that can serve as a communication tool for teachers and students anywhere in the world by providing each with an individual avatar. This platform will offer a virtual setting for students to socialise with their friends and peers and receive peer-to-peer learning, which is lacking in the current e-learning environment. The students won't need an entrance score card;instead, they will need critical learning skills to advance and mature. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Students

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Highsimb: A Concrete Blockchain High Simulation with Contract Vulnerability Detection for Ethereum and Hyperledger Fabric 4th

Highsimb: A Concrete Blockchain High Simulation with Contra...

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4th International Conference on Machine Learning for Cyber Security, ML4CS 2022

作者： Huang, Pengfei Jie, Wanqing Voundi Koe, Arthur Sandor Hou, Ruitao Yan, Hongyang Nouioua, Mourad Thien, Phan Duc Mbous Ikong, Jacques Lancine, Camara Institute of Artificial Intelligence and Blockchain Guangzhou University Guangzhou510006 China Pazhou Lab Guangzhou510330 China Faculty of Mathematics and Computer Science University of Mohamed Bachir El Ibrahimi Bordj Bou Arreridj34030 Algeria Faculty of Information Technology Nam Dinh University of Technology Education Nam Dinh420000 Viet Nam Department of Electrical and Telecommunications Engineering National Advanced School of Engineering - University of Yaounde I Yaounde337 Cameroon Department of Computer Science University of Social Sciences and Management Bamako2575 Mali

ISBN: (纸本)9783031200984

Blockchain testing plays a critical role in the maturation of blockchain technology by ensuring the quality of implemented functional and non-functional requirements. In the new global economy, rapid time to market has become a central issue: developers fail to scrutinize their blockchain designs prior to deployment and customers undergo negative experiences that hurt the widespread adoption of the blockchain technology. Previous published studies aimed for effective blockchain simulators. However, existing solutions exhibit several drawbacks: they rely on guesswork, conceal low-level implementation details, lack expected realistic outcomes and automated testing, as well as lag in smart contract vulnerability analysis. In this paper, we introduce highsimb: the first concrete blockchain high simulation platform for Ethereum and Hyperledger Fabric that supports smart contract vulnerability detection. Unlike a testnet, the blockchain tester can customize any low-level detail to achieve realistic expected results under automated testing. Theoretical analysis demonstrates our concrete simulator is highly observable, supports realistic feedback, is scalable, detects smart contract vulnerabilities, has strong white-box testing capabilities and automates experiments. Our framework complements existing blockchain simulators and introduces a novel development paradigm for blockchain testing. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blockchain

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On Shared Use of Upper 6 GHz Band by IMT and RLANs

On Shared Use of Upper 6 GHz Band by IMT and RLANs

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IEEE Future Networks World Forum (FNWF)

作者： Arturas Medeisis Leo Fulvio Minervini Fernando Beltrán Department of Computer Science and Communications Technologies Vilnius Gediminas Technical University Vilnius Lithuania Department of Economics and Law University of Macerata Macerata Italy Information Systems and Operations Management Department University of Auckland Auckland New Zealand

ISBN: (数字)9798350379495

ISBN: (纸本)9798350379501

The paper evaluates the prospects for shared use of the frequency band 6425-7125 MHz by both the IMT mobile network operators and RLAN applications such as Wi-Fi, following recent ITU WRC-23 decisions. We aim to learn from similar past regulatory initiatives for shared use of spectrum, by proposing an alternative arrangement based on the concept of Evolved Spectrum Usage Rights. It would enable fast implementation of band sharing and ensure active participation of mobile network operators as key players to make sharing work.

关键词： Wireless communication Technological innovation Prevention and mitigation Power control Interference Licenses Delays Wireless fidelity Local area networks Radio spectrum management

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Big Data Analytics Role in Managing Complex Supplier Networks and Inventory management

Big Data Analytics Role in Managing Complex Supplier Network...

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2022 International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022

作者： Anusha, D J Panga, Murlidhar Hadi Fauzi, Ahmad Sreeram, Anusha Issabayev, Abdykaimovich Arailym, Nussipova Sri Padmavati Mahila Visvavidyalayam Department of Computer Science Engineering Tirupati India Economic Prestige Institute of Management and Research Indore Universitas Padjadjaran Faculty of Political and Social Sciences Business Administration Department Indonesia Hyderabad India International Education Corporation Department of Architecture Almaty Kazakhstan International Education Corporation Department of Design Almaty Kazakhstan

ISBN: (纸本)9781665478847

In today's world, competition is not only restricted between the marketing aspects of two companies or big firms. The competition has expanded between the supply chain management perspectives of two firms. In order to sustain within the current competitive environment supply chain professionals of a firm are struggling hard to handle large-scale data, that is important to reach an integrated, efficient, effective as well as agile supply chain process within their business. As a result, explosive growth of data volume and amount of data within business, made it mandatory for the supply chain processionals to use an effective data analytic tool in order to manage these data. The main aim of this study is to identify use of various data analytic tools in order to manage large data of supply process and inventory management process with several advantages and disadvantages. As per the literature findings, it has been observed that use of data analytic tools within an organisation can be helpful to investigate new insights of the supply chain process, which can be able to detect different parts and elements of that process. A mixed method approach has been incorporated within this research paper by collecting primary and secondary both data collection process. Total 50 employees engaged with inventory and supply chain management of different firm are chosen to conduct a survey. Secondary data are collected from secondary sources. As per the findings, it can be stated that big data analytics plays a positive role in organization for managing large data. © 2022 IEEE.

关键词： Internet of things

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Monitoring and Sensing of Real-Time Data with Deep Learning Through Micro- and Macro-analysis in Hardware Support Packages

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SN computer science 2023年第5期4卷 1-12页

作者： Lal, Bechoo Chinthamu, Narender Harichandana, B. Charanarur, Panem Sharmaa, Akhilesh Kumar, A. Ranjith Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh Guntur District 522502 India MIT(Massachusetts Institute of Technology) Certified CTO Senior Enterprise Architect at Wesco Dallas United States Department of Computer Science and Engineering Srinivasa Ramanujan Institute of Technology B. K. Samudram Andhra Pradesh Anantapur 515701 India Department of School of Cyber Security and Digital Forensics National Forensic Sciences University Tripura Campus Tripura Agartala 799006 India School of Management Graphic Era Hill University Dehradun India Department of Computer Science and Engineering Lovely Professional University Punjab Phagwara India

The Virtual Reality (VR) is differentiated into non-immersive, semi-immersive and fully immersive simulated functions. This is referred as a computer generated 3D environment that seems to be real in nature. This is accompanied through the Digital Twin (DT);it represents the exact replication of the physical world into virtual environment. This includes the simulation, integration and execution into the real virtual environment. The DT helps to exchange the information from physical environment into virtual space. The DT helps to perform the virtual image with higher efficiency and productivity. The digital demonstration of the real world helps to maintain stability in the virtual environment through adopting the real-time data through analysis and sensing. This is done through the sensors that sense the external physical parameters. They are implemented through Artificial Intelligence (AI) with Internet of Things. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： 3D representation AI Digital twin Internet of Things (IoT) Physical environment Virtual reality

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A Conceptual Framework for AI Governance in Public Administration – A Smart Governance Perspective

A Conceptual Framework for AI Governance in Public Administr...

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International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

作者： Manikandan Rajagopal Ramkumar Sivasakthivel Gobinath Ramar Mansurali A Sathesh Kumar Karuppasamy Lean Operations and Systems School of Business and Management CHRIST (Deemed to be University) Bangalore India Department of Computer Science School of Sciences CHRIST (Deemed to be University) Bangalore India Department of Commerce and Management Central University of Tamilnadu India Department of Computer Science & Information Technology School of Computing Kalasalingam Academy of Research and Education Krishnankoil India

With the public governance lagging behind the fast evolving of AI in their attempts to yield sufficient governance, corresponding principles are necessary to be in par with this dynamic advancement. As AI becomes more pervasive and integrated into various domains, there is a growing need for AI governance models that can ensure that the development and deployment of AI systems align with ethical, legal, and social standards. There are some answers that literature puts forward to the question onthe way the government and public administration has to react to the huge concerns related to AI and usage of policies to avoid the emerging challenges. In this survey, AI problems and the prior AI regulation techniques are analyzed. In this research study, a governance model for AI is proposed by combining all the facets and also implements a new procedure for governing AI. This study will help the decision makers to make smart government a reality by using AI governance framework.

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A Context-Aware Approach and Software for Notifications about Personal Safety

A Context-Aware Approach and Software for Notifications abou...

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International Conference on Advanced computer Information technologies (ACIT)

作者： Ruslan Shevchuk Mikolaj Karpinski Tetiana Yurchyshyn Ihor Lishchynskyy Maria Lyzun Andriy Melnyk Department of Computer Science West Ukrainian National University Ternopil Ukraine Department of Computer Science and Automatics University of Bielsko-Biala Bielsko-Biala Poland Institute of Security and Computer Science University of the National Education Commission Krakow Poland Department of Cyber Security Ivan Puluj National Technical University Ternopil Ukraine Department of Foreign Languages Information and Communication Technologies West Ukrainian National University Ternopil Ukraine Department of International Economics West Ukrainian National University Ternopil Ukraine

ISBN: (数字)9798350350043

ISBN: (纸本)9798350350050

Nowadays, ensuring human safety in yarious environments is of paramount importance. This paper introduces a context-aware approach and software solution aimed at enhancing alert notifications about personal safety. By leveraging contextual information such as location, environmental conditions, and user preferences, the proposed system tailors safety alerts to individual needs and situations. Integrating modern technologies such as the *** Core Web API framework, Google Maps API, OpenWeatherMap API, and the $C \#$ language, we designed software to enhance human safety. Through the integration of cutting-edge technologies, including context awareness and dynamic threshold adjustment, our software provides personalized and timely notifications regarding potential dangers. This paper outlines the development process, key features, and potential of the context-aware software, highlighting its significance in improving safety measures and mitigating risks in diverse settings.

关键词： Photography Web services Context awareness Prediction algorithms Software Safety Satellite images Mobile applications Software measurement Information technology

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Network on Chip for 2D Mesh Toplological Structure in HDL Enviornment 10

Network on Chip for 2D Mesh Toplological Structure in HDL En...

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10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and computer Engineering, UPCON 2023

作者： Kumar, Santosh Kumar, Ashok Rana, Vikrant Sharma, Vibhoo Bhatnagar, Vivek Sachi, Savya CSE-IOT Noida Institute of Engineering and Technology Greater Noida India Koneru Lakshmaiah Education Foundation Department of Computer Science & Engineering AP Guntur Vaddeswaram India Coer University Department of Cyber Security Roorkee India Hindustan College of Science and Technology Department of It D.P. Mathura India Haryana Ambala India Lalit Narayan Mishra College of Business Management Department of Information Technology Bihar Muzaffarpur842001 India

ISBN: (纸本)9798350382471

Network on Chip (NoC) refers to the network variant of the multiprocessor system on chip (MPSoC). The RoC approach has been demonstrated to be one of the most effective methods for the efficient utilisation of interconnections, and it facilitates the exchange of data between multiple nodes integrated on a single processor. The topology, switching, and routing techniques are crucial to the design of the NoC architecture. The paper concentrates on the design of a 2D NoC router and its application in configuring a (4×4) mesh topological NoC. To resolve the RoC's nodes, the XY routing technique is implemented. It is one of the simplest methods for designating nodes and routing data packets from one node or processing element to another within a NoC. The NoC layout is created using the VHDL programming language and is simulated using Xilinx 14.2 and simulation software. The design is validated on a Virtex-5 FPGA with 8-bit, 16-bit, 32-bit, 64-bit, and 128-bit data transfer between nodes when the NoC is fully connected and operational. In addition to analysing the hardware parameters and detailed report of the developed NoC Chip, the FPGA synthesis parameters are also analysed. © 2023 IEEE.

关键词： Mesh Topology Multiprocessor System on Chip (MPSoC) Network on Chip (NoC) Router Architecture

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Cooperative and Competitive Multi-Agent Systems:From Optimization to Games

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IEEE/CAA Journal of Automatica Sinica 2022年第5期9卷 763-783页

作者： Jianrui Wang Yitian Hong Jiali Wang Jiapeng Xu Yang Tang Qing-Long Han Jürgen Kurths Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China Department of Electrical and Computer Engineering University of WindsorWindsorON N9B 3P4Canada IEEE School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourneVIC 3122Australia Potsdam Institute for Climate Impact Research 14473 Potsdam Institute of Physics Humboldt University of Berlin12489 BerlinGermany

Multi-agent systems can solve scientific issues related to complex systems that are difficult or impossible for a single agent to solve through mutual collaboration and cooperation *** a multi-agent system,agents with a certain degree of autonomy generate complex interactions due to the correlation and coordination,which is manifested as cooperative/competitive *** survey focuses on multi-agent cooperative optimization and cooperative/non-cooperative *** from cooperative optimization,the studies on distributed optimization and federated optimization are *** survey mainly focuses on distributed online optimization and its application in privacy protection,and overviews federated optimization from the perspective of privacy protection ***,cooperative games and non-cooperative games are introduced to expand the cooperative optimization problems from two aspects of minimizing global costs and minimizing individual costs,***-agent cooperative and non-cooperative behaviors are modeled by games from both static and dynamic aspects,according to whether each player can make decisions based on the information of other ***,future directions for cooperative optimization,cooperative/non-cooperative games,and their applications are discussed.

关键词： Cooperative games counterfactual regret minimization distributed optimization federated optimization fictitious

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