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Automation and Computation (AUTOCOM), International Conference on

作者： K Bhanu Rekha B.P. Singh Prabhjot Kaur Mahabub Hasan Mahalat Gunveen Ahluwalia Premkumar R Department of Electronics and Communication Engineering Presidency University Bangalore Karnataka India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre for Interdisciplinary Research for Business and Technology Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Computer Science and Information Technology Siksha ‘O’ Anusandhan (Deemed to be University) Bhubaneswar Odisha India Chitkara Centre for Research and Development Chitkara University Baddi Himachal Pradesh India School of Engineering and Technology Electronics and Communication Engineering JAIN (Deemed to be University) Bangalore Karnataka

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Flexible batteries, also known as thin-movie batteries, have emerged as a promising technology in the race toward the giant adoption of electrical automobiles (EVs). These batteries provide several blessings over conventional lithium-ion batteries, which currently electricity most EVs, including decreased weight, advanced safety, and better electricity garage capability. One of the foremost demanding situations dealing with EV adoption is the restrained use variety presented through conventional batteries, which require frequent recharging. This has been a major barrier for ability customers, who may have yet to get admission to charging stations or may be deterred by the prolonged charging process. Bendy batteries, with their lightweight and excessive electricity storage potential, can appreciably grow the use of a variety of EVs, making them an extra feasible opportunity for fuel-powered motors. Moreover, bendy batteries may be incorporated into the design of the car, making it possible to create extra aerodynamic and space-green EVs. This allows for greater flexibility in car design and reduces the general value of production. Similarly, as EVs become more extensively used, the call for bendy batteries will grow due to economies of scale and doubtlessly decrease the fee of manufacturing even in addition.

关键词： Lithium-ion batteries Electricity Layout Production Motors Batteries Manufacturing Automobiles Polymers Protection

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Robustness Analysis of EV Charging System using Random Forest Algorithm

Robustness Analysis of EV Charging System using Random Fores...

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International Conference on Computing and Networking Technology (ICCNT)

作者： Uma Prasanna Vishnu Barre Swapna Satyanarayan Hemanjaneya Reddy Aparna Pulikala Ankit Bajaj Department of Electronics and Communication Engineering National Institute of Technology Karnataka Surathkal Karnataka India Mercedes-Benz Research and Development India Pvt Ltd Bengaluru India Department of Computer Science and Engineering Malaviya National Institute of Technology Jaipur Rajasthan India

Electric cars offer numerous benefits and are considered the future of the automobile industry. However, their worldwide adoption still needs to grow. One of the primary reasons for this delay in electrification is charge anxiety, which refers to the uncertainty customers feel when connecting the charging cable to the car. To address this issue, this study analyses the performance of the charging system using a machine learning model to identify sensitive signals that influence the charging process and can cause successful charging or charge termination. The analysis will also help to define robust operating regions where the charging component can reliably function, regardless of external conditions. This study’s findings will provide insights into electric vehicle charging behavior with the supply station.

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Retraction Note: An efficient quantum based D2D computation and communication approach for the internet of things

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Optical and Quantum Electronics 2024年第11期56卷 1-2页

作者： Mekala, M. S. Srivastava, Gautam Chun-Wei Lin, Jerry Dhiman, Gaurav Park, Ju H. Jung, Ho-Youl Department of Information and Communication Engineering Yeungnam University Gyeongsan Korea RLRC for Autonomous Vehicle Parts and Materials Innovation Yeungnam University Gyeongsan Korea Department of Math and Computer Science Brandon University Brandon Canada Western Norway University of Applied Sciences Gaurav Dhiman Bergen Norway Department of Computer Science Government Bikram College of Commerce Patiala India Department of Electrical Engineering Yeungnam University Gyeongsan Korea Research Centre for Interneural Computing China Medical University Taichung Taiwan University Centre for Research and Development Department of Computer Science and Engineering Chandigarh University Gharuan India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India

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An Improved Chess AI System with Hybrid-Fly Optimization and Artificial Neural Networks

An Improved Chess AI System with Hybrid-Fly Optimization and...

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International Conference on ICT in Business Industry & Government (ICTBIG)

作者： Avni Garg Koushik V Prasad P.R. Rege P. Karthigaikumar Gunveen Ahluwalia S. Ganga Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India School of Engineering and Technology Mechanical Engineering JAIN (Deemed to be University) Bangalore Karnataka India Computer Vishwakarma Institute of Technology Pune India Department of Electronics and Communication Engineering Karpagam College of Engineering Coimbatore India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of IT Prince Shri Venkateshwara Padmavathy Engineering College Chennai India

ISBN: (数字)9798331518981

ISBN: (纸本)9798331518998

The "Drosophila of Artificial Intelligence (AI)" is a chessboard, since chess was an early and popular subject in AI studies, and the field later expanded to include other games. The majority of the most advanced chess engines relied on more traditional search strategies like as Minimax and Alpha beta prior to the current success of systems that are based on notions from machine learning. The majority of chess engines aren't built to mimic human intuition, but rather to compute as many feasible permutations before making a move. New features in the game demonstrated how AlphaZero used a deep reinforcement learning-based strategy. Training the model with top human games may increase chess engines' intuitive sense for the situation, and our suggested hybrid optimization approach can glean the ideal move. This study addresses the shortcomings of traditional methods of evaluating a chess situation and presents a new model, the Hybridfly-ANN, to achieve the greatest number of legal moves. The suggested technique first determines all legitimate moves that might be made in response to a single opponent move, and then uses the standard mini-max algorithm to determine which move is the most optimum. An important part of this study is the suggested Hybrid Fly optimization approach, which improves the system's performance by fine-tuning the ANN classifier's weights. The effectiveness of the method that has been suggested is assessed using a series of evaluation criteria that includes accuracy, sensitivity, and specificity.

关键词： Training Accuracy Law System performance Artificial neural networks Games Sensitivity and specificity Optimization Engines Standards

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Blockchain-Envisioned UAV-Aided Disaster Relief Networks: Challenges and Solutions

arXiv

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arXiv 2023年

作者： Wang, Yuntao Hu, Qinnan Li, Zhendong Su, Zhou Li, Ruidong Zou, Xiang Zhou, Jian School of Cyber Science and Engineering Xi'an Jiaotong University China School of Information and Communication Engineering Xi'an Jiaotong University China Department of Electrical and Computer Engineering Kanazawa University Japan The Second Research Institute of Civil Aviation Administration of China Chengdu China China Mobile Chengdu Institute of Research and Development China

Natural or man-made disasters pose significant challenges for delivering critical relief to affected populations due to disruptions in critical infrastructures and logistics networks. Unmanned aerial vehicles (UAVs)-aided disaster relief networks (UDRNs) leverage UAVs to assist existing ground relief networks by swiftly assessing affected areas and timely delivering lifesaving supplies. To meet the growing demands for collaborative, trustfree, and transparent UDRN services, blockchain-based UDRNs emerge as a promising approach through immutable ledgers and distributed smart contracts. However, several efficiency and security challenges hinder the deployment of blockchain-based UDRNs, including the lack of cooperation between smart contracts, lack of dynamic audit for smart contract vulnerabilities, and low forensics robustness against transaction malleability attacks. Towards efficient and secure blockchain-based UDRNs, this paper presents potential solutions: (i) a series of collaborative smart contracts for coordinated relief management, (ii) a dynamic contract audit mechanism to prevent known/unknown contract vulnerabilities;and (iii) a robust transaction forensics strategy with on/off-chain cooperation to resist transaction malleability attacks. Our prototype implementation and experimental results demonstrate the feasibility and effectiveness of our approach. Lastly, we outline key open research issues crucial to advancing this emerging field. Copyright © 2023, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Design and Analysis of Narrowband 28.0GHz n257 and n261 for Short Range communication with Higher Data Rates

Design and Analysis of Narrowband 28.0GHz n257 and n261 for ...

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Wireless Antenna and Microwave Symposium (WAMS), IEEE

作者： Manish Sharma Kanhaiya Sharma Ganga Prasad Pandey Naresh Kumar Rana Gill Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Computer Science & Engineering Symbiosis Institute of Technology Symbiosis International (Deemed University) Pune Maharashtra India School of Technology Pandit Deendayal Energy University Gandhinagar Gujarat India Department of Electronics & Communication Engineering SGT University Gurugram India Department of Electronics and Communication Engineering University Centre for Research and Development Chandigarh University Gharuan Mohali Punjab India

ISBN: (数字)9798350358926

ISBN: (纸本)9798350358933

This communication is reported for narrowband MIMO antenna applications at mmWave access applications for n257 and n261. The proposed radiator is evolved and analyzed on RogersRO400340.0GHz dielectric with permittivity=3.55 and thickness of 0.8mm & can be deployed in 5G infrastructure availability. The single-element antenna radiating electromagnetic energy was initiated with radiating patch consisting of a quarter wavelength stub at 28.0GHz connected to a 500 microstrip feed-line and circular-slotted Defected-Ground-Structure (DGS) resulting in a narrowband. This single-element antenna resonated at 28.0GHz with S 11 =-45.0dB and offered a corresponding impedance of (50.45-j0.33) Ω with a compact size of 80 mm 2 , For achieving higher channel capacity systems, the proposed solo radiator antenna is converted into a 4-port MIMO antenna configuration for radiating electromagnetic waves with a compact volume of 16×20×0.8 mm 3 . The proposed MIMO antenna can be utilized for mobile networking.

关键词： Microwave antennas Wireless communication Electromagnetic scattering Microstrip antennas Mobile antennas Dielectric resonator antennas MIMO communication

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The Role of Cyber-Physical Systems in Revolutionizing Transportation: From Connected Cars to Autonomous Vehicles 3

The Role of Cyber-Physical Systems in Revolutionizing Transp...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Frank, Anilloy Augustine Agarwal, Trapty Sharma, Divya Dutta, Arup Kumar Gupta, Shikhar Aravindan, M.K. Presidency University Department of Electronics and Communication Engineering Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh Baddi174103 India Karnataka Bangalore India

ISBN: (纸本)9798331542375

Cyber-physical systems have technologically advanced the transportation industry with their ability to connect physical systems with virtual functions. A cyber-physical system uses real-time data generation and communication technologies to make transportation systems safer, more efficient, more sustainable and more reliable. Connected cars are one of the primary use cases of CPS in transportation. They utilize sensors, cameras, and internet connectivity to capture information regarding road conditions, traffic patterns, and other drivers on the road. This information is then communicated to the backend system for analysis and decision-making to enhance safety or alleviate traffic congestion. It has also contributed towards developing independent vehicles. They employ ACH and CPS technologies to drive on roads driving without the need for human intervention. This could lead to a huge reduction in human error-related accidents and improve the efficiency of transportation. CPS also helps build smart transportation systems or link multiple modes of transport to escape congestion and reduce travel time. For example, it involves the integration of different modes of transportation, such as public transit, ride-sharing services and self-driving cars, to minimize travel time while maximizing usage. CPS has revolutionized the transport sector into a more connected, effective and secures system. © 2025 IEEE.

关键词： Travel time

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Real-Time Indoor Localization Using IoT and Sensor Networks for Human Activity Monitoring 3

Real-Time Indoor Localization Using IoT and Sensor Networks ...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Ganesh, V. Muthu Alam, Intekhab Sharma, Dikshit Mohanty, Samuka Parmar, Yuvraj Krishna, Gautham Presidency University Department of Electronics and Communication Engineering Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Centre of Research Impact and Outcome Chitkara University Punjab Rajpura140417 India Department of Computer Science and Engineering Odisha Bhubaneswar India Chitkara Centre for Research and Development Chitkara University Himachal Pradesh Baddi174103 India Karnataka Bangalore India

ISBN: (纸本)9798331542375

To develop an effective real-time indoor localization methodology by exploiting the Internet of Things (IoT) consists of sensor networks. This tech is to support a more robust HAM application that allows for precise and continuous tracking based on individual locations inside buildings. It uses a combination of IoT devices and sensors to give people in the indoor environment real-time positioning data. Real-time indoor Localization based on IoT and Sensor Networks is a technology that allows evaluating precise continuous tracking of individuals in buildings to monitor human activity by applying advanced techniques such as Wireless sensor networks. Essentially, this technology leverages IoT devices and sensors to give precise real-time location information of people inside buildings. This accurate and reliable indoor positioning uses advanced techniques such as wireless sensor networks, lowenergy Bluetooth, and IoT technologies like RFID;this technology can be achieved only in Hospitals, shopping malls, and offices where it enables you to track human activities from indoor spaces at the current moment' Installing sensors and IoT devices throughout the building connected to a central data center or via Natural Activity Limit Parametrization Real-time indoor localization using the Internet of Things (IoT) and sensor networks enables accurate tracking for human activity monitoring inside buildings. This technology uses IoT devices with sensors to give people precise real-time information on their location in an indoor space. This technology provides highly precise and reliable indoor positioning with advanced techniques such as wireless sensor networks, Bluetooth low energy, or RFID. The technology is best suited to tracking human activities in indoor spaces, including hospitals, shopping malls, and offices. This is followed by creating a data layer of network sensors and IOT devices inside the building connected to an on-premises or cloud central server. Sensors captur

关键词： Wireless sensor networks

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Simulation Environment for the I9 Vanet Platform

Simulation Environment for the I9 Vanet Platform

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Advances in Computing, communication and Applied Informatics (ACCAI), International Conference on

作者： Madhavi Satish Avhankar JanardanAdinath Pawar Gurpreet Singh Anju Asokan S. Kaliappan Kamlesh Chandra Purohit Department of Computer Science Indira College of Commerce and Science Pune Maharashtra India Department of Computer Science and Engineering Punjab Institute of Technology Rajpura (MRSPTU Bathinda) Punjab Department of Computer and Communication Engineering Sri Eshwar College of Engineering Coimbatore Tamil Nadu Division of Research and Development Lovely Professional University Jalandhar Punjab India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India

Vehicular Specially appointed Organizations (VANETs) are delegated a use of Portable Impromptu Organizations (MANETs) that has the potential in further developing street security and giving Clever Transportation Framework (ITS). Yet, VANET simulation is not the same as MANETs (portable impromptu organizations) simulation on the grounds that in VANETs vehicular environment forces new issues and necessities, like obliged street geography, multi-way blurring and side of the road obstructions, traffic flow models, trip models, varying vehicle speeds and adaptability, traffic lights, traffic congestion, and driver behavior. The vehicular security application ought to be completely tried before it is sent in a genuine world to utilize. Test system device has been liked over outside explore on the grounds that it straightforward, simple and modest. VANET expects that a traffic and organization test system ought to be utilized together to play out this test. Many apparatuses exist for this reason yet the majority of them dislike the appropriate association. In this proposal, we target reenacting vehicular organizations with outside upgrade to examine its impact on wireless correspondence yet to finish this work a decent test system is likewise required. Thus, we will initially banter on the deficiency of current test systems and think of our own suggestions to play out our simulation. Returning to VANET test systems is expected to distinguish assuming that they are as yet fit for assessing these new situations. This paper represents a refreshed audit of VANET test systems, describing their present status and abilities to evaluate novel situations in VANET research.

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QCG-Rerank: Chunks Graph Rerank with Query Expansion in Retrieval-Augmented LLMs for Tourism Domain

arXiv

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arXiv 2024年

作者： Wei, Qikai Yang, Mingzhi Han, Chunlong Wei, Jingfu Zhang, Minghao Shi, Feifei Ning, Huansheng School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Beijing Engineering Research Center for Cyberspace Data Analysis and Applications Beijing100083 China Guangxi Tourism Development One-Click Tour Digital Cultural Tourism Industry Co. Ltd Guangxi530012 China

Retrieval-Augmented Generation (RAG) mitigates the issue of hallucination in Large Language Models (LLMs) by integrating information retrieval techniques. However, in the tourism domain, since the query is usually brief and the content in the database is diverse, existing RAG may contain a significant amount of irrelevant or contradictory information contents after retrieval. To address this challenge, we propose the QCG-Rerank model. This model first performs an initial retrieval to obtain candidate chunks and then enhances semantics by extracting critical information to expand the original query. Next, we utilize the expanded query and candidate chunks to calculate similarity scores as the initial transition probability and construct the chunks graph. Subsequently, We iteratively compute the transition probabilities based on an initial estimate until convergence. The chunks with the highest score are selected and input into the LLMs to generate responses. We evaluate the model on Cultour, IIRC, StrategyQA, HotpotQA, SQuAD, and MuSiQue datasets. The experimental results demonstrate the effectiveness and superiority of the QCG-Rerank method. Copyright © 2024, The Authors. All rights reserved.

关键词： Structured Query Language

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