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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 8062 条记录，以下是31-40 订阅

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Wireless Sensor Network for Fault Detection Using Block Chain Technology Based smart Grid Security 5th

Wireless Sensor Network for Fault Detection Using Block Chai...

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5th international conference on Data Science, Machine Learning and Applications

作者： Sudhakar, A. V. V. Goswami, Chandrshekhar Neeraja, B. Jain, Amit Kumar Gupta, Sandeep Gowri, G. SR Univ Sch Engn Dept EEE Warangal Telangana India Sir Padampat Singhania Univ Fac Comp & Informat Udaipur 313601 Rajasthan India Govt Polytech Hyderabad Elect & Elect Engn Hyderabad Telangana India Poornima Univ Elect & Elect Engn Jaipur Rajasthan India Graph Era Univ Elect Engn Dept Dehra Dun Uttarakhand India Karpagam Inst Technol Dept Artificial Intelligence & Data Sci Coimbatore Tamil Nadu India

ISBN: (纸本)9789819780334;9789819780310;9789819780303

The combination of blockchain technology and wireless sensor networks (WSNs) has shown promise in boosting the security and dependability of smart grid systems. In order to improve security, this research paper focuses on integrating blockchain technology into the use of WSNs for fault detection in smart grids. The design, advantages, and difficulties of this technique are covered in the paper along with a case study that illustrates how it might be used in real-world settings. The findings demonstrate that a WSN and blockchain technology combination offers a reliable and safe method for real-time detection of faults in smart grids. A module of IoT in a node routing practice of smart grid built on blockchain has improved the security of the smart grid network. The industrial study was conducted using a transfer convolutional network that uses Q-learning for defect identification in a network. Experimental evaluation has been done in terms of accuracy, RMSE, and bit error rate. A bit error rate of 68%, accuracy of 97%, and RMSE of 76% were achieved by the suggested technique. Given that security is the main obstacle to the introduction of smart grids, this proposed paradigm is useful for better security and fault detection over the network.

关键词： Wireless sensor network Fault detection Blockchain technology smart grid security Q-learning Security

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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...

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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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research on kinetic energy recovery technology of intelligent control system in new energy vehicle field 4

Research on kinetic energy recovery technology of intelligen...

引用

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

作者： Lu, Mingyu Anhui Sanlian University Anhui Hefei230601 China

ISBN: (纸本)9781510686304

In order to enhance the durability of the battery and optimize the efficiency of energy utilization, this study delves into the problem of energy loss in new energy vehicles during driving. The focus is on the development of energy recovery technology in the intelligent control of the vehicle. Relying on advanced Internet technology, this study combines battery state-of-charge and vehicle speed data to deeply analyze the impact of these key factors on the effectiveness of intelligent energy recovery systems. In addition, this study delves into the mechanism of the interaction between the front and rear braking forces, as well as the interrelationship between braking intensity and braking torque. A computerized control system was designed based on the correlation between braking torques. After constructing the intelligent control model, experimental validation was carried out through the simulation environment. Experimental data show that the intelligent control system designed in this study significantly improves the efficiency of energy recovery during braking. © 2025 SPIE ·

关键词： State of charge

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From Natural Language to Code Generation in a Specific Domain of Application: A Systematic Map 4th

From Natural Language to Code Generation in a Specific Do...

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4th international conference on Electronic engineering and Renewable Energy systems, ICEERE 2024

作者： Imahrain, Mohammed El Farissi, Ilham Smart Management Solutions Team ENSAO Mohammed I University Oujda Morocco

ISBN: (纸本)9789819606436

Natural Language To Code Generation (NL2CG) represents a crucial intersection between human communication and programming, enabling the translation of human-readable instructions into executable code. This paper presents a systematic mapping study that explores the landscape of NL2CG techniques within a specific domain of application. The study investigates publications spanning the years 2013–2023, analyzing research trends, methodologies, and application domains. To keep the relevance of searched studies, my search is directed to studies published from 2013 to 2023. This systematic map contributes a comprehensive overview of the current state of NL2CG in a specific application context, shedding light on emerging trends, identifying gaps, and providing valuable insights for future research directions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： EXAPT (programming language)

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Fault Localization Technique in smart Active Distribution System with Data Uncertainties 4

Fault Localization Technique in Smart Active Distribution Sy...

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4th international conference on Power, Control and computing Technologies, ICPC2T 2025

作者： Bharti, Arya Tamrakar, Archana Sarangi, Saumendra Electrical Engineering Department MNNIT Allahabad Prayagraj India

ISBN: (纸本)9798331530402

The necessity for a reliable power supply in active distribution systems requires information on precise fault location to restore the power following a fault. However, with inverter based DGs the modulated voltage and current limits the faulty section and fault location technique. smart grid initiatives have added Intelligent Electronic Devices (IEDs) and SCADA systems through communication networks which collects large sets of data which improves the monitoring of the whole system and this can also be applicable to obtain the fault location. However, the existence of errors in data presents a notable obstacle in locating the faults. Hence, to estimate the accurate data, weighted least squares and the chi-square probability density function-based approach are applied and with accurate estimated data, faulty line inductance is computed using the least squares (LSQ) technique. The proposed method is highly accurate for data uncertainties, high resistance fault, and bidirectional power flow. Further, the method is compared with a Current distribution technique (CDT) based impedance/reactance fault location method, which is beneficial for close-in-fault. The efficacy of this approach is demonstrated through simulation of the IEEE 33-bus Distribution System using MATLAB/SIMULINK R2023a. © 2025 IEEE.

关键词： SCADA systems

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IoT-Driven Agricultural Monitoring Architecture with Novel Light Machine Learning for Enhanced Precision Crop Health Analysis 3rd

IoT-Driven Agricultural Monitoring Architecture with Novel L...

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3rd international conference on Intelligent systems and Sustainable computing, ICISSC 2023

作者： Andi, Hari Krishnan Ramasamy, Lokeshkumar Nramban Kannan, Senthil Kumar Murugesan, Sasikumar Benarji, Bejjam S. N. Manogaran, Umamaheswari Sengan, Sudhakar Centre for Postgraduate Studies Asia Metropolitan University Johor81750 Malaysia School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore632014 India Department of Computer Science and Engineering Deemed to Be University Vel Tech Rangarajan Dr Sagunthala R&H12D Institute of Science and Technology Tamil Nadu Chennai600062 India C. Abdul Hakeem College of Engineering & Technology Tamil Nadu Melvisharam Ranipet632509 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram522502 India Department of Computer Science and Engineering PSN College of Engineering and Technology Tamil Nadu Tirunelveli627451 India

ISBN: (纸本)9789819783540

In the age of digital transformation, agriculture is harnessing the potential of advanced technologies to address global challenges related to food security and environmental sustainability. While smart Agriculture and Precision Agriculture lay the foundation, there remains a pressing need for real-time, granular data processing to realize their full potential. Edge computing, coupled with Machine Intelligence (MI), promises a solution, yet existing models often lack the adaptability and real-time efficiency demanded by diverse agricultural scenarios. Addressing these challenges, this paper proposes the Precision Intensive Crop Health Observer (PICHO). PICHO is an innovative three-tier architecture comprising the Field Data Interface Unit (FDIU) for seamless sensor data collection, the Edge Analytics Processor (EAP) for real-time edge-based analytics, and the Cloud Coordination Hub (CCH) for data storage and in-depth analysis. Central to the EAP's efficacy is the lightweight learning model LENet, which is designed with dual pipelines for processing sensor and image data. Specifically crafted to be trained on resource-constrained edge devices, LENet ensures that PICHO remains adaptable, efficient, and poised to redefine the future of precision agriculture. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： smart agriculture

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A Text Classification in Tourism Reviews with the Hybrid Transformer-Attention Model in the Information Management of smart Tourism 5th

A Text Classification in Tourism Reviews with the Hybrid Tra...

引用

5th international conference on computing, Communications, and Cyber Security, IC4S 2023

作者： Srinivasan, Jayanth Niranjanee, M. Nandhana, C. Azhagiri, M. Department of Computer Science and Engineering SRM Institute of Science and Technology Ramapuram Tamil Nadu Chennai600 089 India

ISBN: (纸本)9789819773701

In the realm of smart tourism, understanding tourist feedback through sentiment analysis is pivotal for enhancing service quality and experience. This study introduces a novel Hybrid Transformer-Attention Model (HTAM), designed to advance sentiment classification accuracy, model interpretability, and linguistic adaptability in tourist reviews. By integrating the contextual insights of transformer models with a strategic attention mechanism, HTAM aims to provide superior performance over existing hybrid models like Convolutional Neural Networks—Bidirectional Long Short-Term Memory (CNN-BiLSTM) (Meng, The Convolutional Neural Network Text Classification Algorithm in the Information Management of smart Tourism Based on Internet of Things, 2024). With empirical evidence showcasing its capability to outperform conventional models in metrics with an accuracy of 96.74%, HTAM’s application promises to revolutionize smart tourism by enabling more responsive and tailored service improvements. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

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A Review of Reentrancy Attack in Ethereum smart Contracts 3rd

A Review of Reentrancy Attack in Ethereum Smart Contracts

引用

3rd international conference on computing and Communication Networks, ICCCN 2023

作者： Al-E’mari, Salam Sanjalawe, Yousef Amman Jordan Amman Jordan

ISBN: (纸本)9789819726707

Blockchain technology has catalyzed a revolutionary shift toward decentralized applications, prominently exemplified by Ethereum’s introduction of smart contracts. A smart contract is a self-executing program running on the Ethereum Virtual Machine (EVM), designed to automate and ensure trust in transactions, bypassing traditional intermediaries. Nevertheless, as their adoption proliferates, inherent vulnerabilities come to the fore, thereby highlighting significant security challenges. Notably, Reentrancy attacks, underscored by the 2016 DAO hack that precipitated a staggering loss of approximately $60 million in Ether, stand out as paramount concerns. This paper offers a comprehensive review of Reentrancy attacks targeting Ethereum smart contracts. It elucidates the mechanics underpinning such attacks, pinpointing recurrent patterns and susceptibilities. Concurrently, an exploration of the trajectory of countermeasures and contemporary solutions proposed within the research sphere is undertaken. Through a detailed analysis of both the nature of attacks and the corresponding mitigation strategies, this work emphasizes potential future directions, offering invaluable insights to guide efforts in enhancing the robustness and security of Ethereum’s smart contracts © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Ethereum

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A Novel Key Generation Algorithm Utilizing Lattice-Based Cryptography Principles 3rd

A Novel Key Generation Algorithm Utilizing Lattice-Based Cry...

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3rd international conference on computing and Communication Networks, ICCCN 2023

作者： Arul, Rajakumar Sivaselvam, B. Choudhary, Ankush Centre for Smart Grid Technologies Vellore Institute of Technology Chennai India Department of Computer Science and Engineering IIITDM Kancheepuram Chennai India School of Computer Science and Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9789819726707

Technology advancement is inevitable, and it has created a revolution in all the sectors creating huge opportunities. Artificial intelligence and machine learning have boosted the advancement of all the sectors making the life easier and comfortable. On the other hand, these advancements highly depend on the connectivity through which all the terminals are communicating. Thus, all the technology developments depend on the communication paradigm, particularly on the wireless medium. Securing the information and infrastructure is crucial, and it demands highly complex problems that cannot be breached with high computation machines like quantum computer. The emergence of quantum computer has made all the existing cryptographic algorithms vulnerable creating a space for advanced algorithms that are safe from quantum computer attacks. Key generation is the foundational process of any cryptographic algorithm, and in this research, we propose a novel key generation mechanism based on lattice using mathematical functions. The proposal is evaluated using theoretical assumptions, and it is found to be safe and secure. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Encryption algorithms

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Analysis of Digital Transformation in the Transportation Industry

Analysis of Digital Transformation in the Transportation Ind...

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international conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Wang, Peiran Ma, Xiaoning Li, Shanwen Institute of Computing Technology China Academy of Railway Sciences Corporation Limited Beijing China School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9789819639762

In the 21st century, digital transformation has emerged as a pivotal driver of innovation and intelligence, with blockchain technologies further enhancing this transformation in transportation, guided by national policies promoting high-quality development. However, China's transportation industry still grapples with uneven and insufficient development, necessitating a thorough exploration of digital transformation strategies. This research applies theories and methodologies of digital transformation to analyze issues within the transportation industry and proposes effective transformation strategies and safeguards. It aims to apply digital transformation theories to enhance the transportation industry, improve user satisfaction, drive smart transportation, boost China's transportation sector competitiveness, and promote high-quality development. Case studies, including digital supervision and intelligent prediction technology in train operations by Xi'an Railway Bureau, new transportation infrastructure driving digital transformation in Guangzhou, and intelligent road toll systems in Stockholm, Sweden, illustrate the practical applications and impacts of digital transformation. Challenges such as data privacy and security, technological complexity and integration, and user experience and societal acceptance are also discussed. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： 5G Digital Transformation smart Transportation Transportation Industry

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