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2nd IEEE International Conference on Data science and Network Security, ICDSNS 2024

作者： Ashwini Kumari, P. Bagali, Sheetal Lakshmanan, M. Kumar, Komuravelly Sudheer Done, Sree Lakshmi Reva University Department of Eee Bengaluru India Sir Mvit Department of Electronics and Communication Engineering Bengaluru India School of Computer Science & Artificial Intelligence Sr University Warangal India G. Narayanamma Institute of Technology and Science Department of Computer Science and Technology Telangana Hyderabad India

ISBN: (纸本)9798350373110

Microgrids (MGs) are the smart power grids that combines renewable energy into power systems reliably in the client side. In order to operate and manage these power systems, it is necessary to deploy Energy Management Systems (EMS). Deep Reinforcement Learning (DRL) approach is proposed in this study to make optimal decisions of demand forecasts, energy generation, market prices by Optimal Energy Management (OEM). The proposed DRL algorithm considers the energy management and optimized decision making as a Partially Observable Markov Decision Process (POMDP). The uncertainties of MGs such as variations in renewable energy generation, demand fluctuations are solved by Improved Twin Delayed Deep Deterministic Policy Gradient (ITD3) algorithm. The ITD3 is a novel DRL algorithm efficiently captures uncertainties of energy generation with its continuous fast convergence speed and high robustness. The proposed method is trained with historical data and evaluated by error rate that captures uncertainties in data. The results demonstrated error rate of 2.03%, run time of 0.056 x 105 s which is less and accurate when compared against Multi-Agent Deep Q-Network (MADQN). © 2024 IEEE.

关键词： Demand forecast Energy Management Systems Microgrid Renewable energy Uncertainties

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Decentralized Optimization of Coupled Power-Transportation Network considering Environment-aware User Behavior 8

Decentralized Optimization of Coupled Power-Transportation N...

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8th International Conference on computer and communication Systems, ICCCS 2023

作者： Cao, Zhiao Han, Yinghua Zhao, Qiang Wang, Jinkuan Zhao, Shuyi School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao China College of Information Science and Engineering Northeastern University Shenyang China Taylor's University Faculty of Business and Law Subang Jaya Malaysia

ISBN: (纸本)9781665456128

The increasing popularity of electric vehicles (EVs) has led to a growing need for electrified transportation, which has further deepened the interconnectedness of power and transportation networks. To account for EV drivers' preferences in route selection, this paper proposes an environment-aware dispatch model that coordinates the integrated power and transportation network to achieve greater economic benefits and increased utilization of renewable energy. The model employs discrete choice models with an environmental factor to represent user behavior. The constructed user behavior models serve as the basis for the integrated optimal traffic-power flow (IOTPF) model, which aims to optimize the flow of both power and traffic while minimizing the total cost of EV travel and maximizing the use of renewable energy sources. The paper employs a decentralized optimization algorithm to solve the equilibrium flows of the IOTPF model. Numerical results illustrate how the environment-aware user behavior impacts travel costs and the use of renewable energy, demonstrating the effectiveness of the IOTPF model in coordinating the optimal strategy of the integrated power-transportation network. © 2023 IEEE.

关键词： Electric load flow

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Empowering Human-Machine communication in Code Generation with NLP 5

Empowering Human-Machine Communication in Code Generation wi...

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5th IEEE International Conference on Recent Trends in computer science and Technology, ICRTCST 2024

作者： Aswal, Upendra Singh Rao, Pappala Mohan Supreeth, B.R. Manikandan, G. Srinivasan, R. Tiwari, Mohit Graphic Era Deemed to be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India Andhra University College Of Engineering AU College Of Engineering Computer Science and System Engineering AP Visakhapatnam530003 India Oxford Degree and PG College Sir. M. Visveshwaraiah Layout Department of Computer Science Ullal Bangalore India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Thandalam India St. Martins Engineering College Department of Computer Science and Engineering Telangana Secunderabad India Bharati Vidyapeeth's College of Engineering Department of Computer Science and Engineering A-4 Rohtak Road Paschim Vihar Delhi India

ISBN: (纸本)9798350351378

The symbiotic interaction between people and computers in the realm of software development is experiencing a fundamental transition, spurred by improvements in Natural Language Processing (NLP). This study investigates how natural language processing (NLP) is changing the software development process by facilitating better human-machine collaboration throughout the coding phase. Data collection, NLP model creation, and assessment are all part of the rigorous process used in our work, which yields important results. The possibility for improving code quality and efficiency while also democratizing code production is discussed in the context of a fictional situation. Ethical concerns are also highlighted, along with the need to minimize bias in NLP-driven code production. To the benefit of developers, organizations, and society at large, this study not only adds empirical insights but also imagines a future in which software development is more inclusive, efficient, and morally responsible. From improved natural language processing models to real-time feedback loops and multimodal techniques, the future of this transforming discipline promises to further influence the landscape of software development. © 2024 IEEE.

关键词： Software design

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Drone Gesture Control using OpenCV and Tello 8

Drone Gesture Control using OpenCV and Tello

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8th Conference on Information communication Technology and Society, ICTAS 2024

作者： Khoza, Nokuthula Owolawi, Pius Malele, Vusumuzi Soshanguve Campus Tshwane University of Technology Faculty of Information and Communication Technology Department of Computer Systems Engineering Pretoria South Africa North-West University Unit for Data Science and Computing School of Computer Science and Information Systems Vanderbijlpark Campus Vanderbijlpark South Africa

ISBN: (纸本)9798350314892

Tracking a person with an onboard camera is a very difficult and perhaps technically impossible if one camera is used. In this regard, real-life projects use a series of cameras to achieve the task. The advent of camera installed drone technology has made it possible for researchers and designers to resolve the tracking issues of a single or multiple stagnant devices. This paper presents a method that makes it possible for a drone to recognize hand gestures as control mechanism and follow the person who control it. Furthermore, the method assists in drone object detection using an integrated depth camera that provides video capturing. The OpenCV and Tello were used in this project. A stabilized depth video is for use with current person trackers like the OpenCV tracker. The estimated Tello pose deduced from vision to stabilize the depth image by warping it to a virtual-static camera. This method allows the Tello to obtain not only the tracked person's position and orientation but also their full body pose, which can then be used, for instance, to recognize hand gestures and alter the Tello's behavior. This work has a potential of contributing or enhancing cutting-edge applications such as hands-free photography and videography. © 2024 IEEE.

关键词： Drones

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An Improved Wildfire Identification Method Based on Yolov7 and Attention Mechanism 3

An Improved Wildfire Identification Method Based on Yolov7 a...

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3rd International Conference on Artificial Intelligence, Virtual Reality, and Visualization, AIVRV 2023

作者： Yang, Qiang Yu, Fan Zhang, Gexiang Jin, Xiaozhao Guo, Dequan Wang, Ping Yao, Guangle Liang, Kai College of Computer Science and Cyber Security Chengdu University of Technology Chengdu China School of Automation Chengdu University of Information Technology Chengdu China School of Network & Communication Engineering Chengdu Technological University Chengdu China

ISBN: (纸本)9781510671485

Wildfires, also called forest fires, are a common natural disaster that often occur in forests and are difficult to control. Detecting and suppressing them at an early stage, primarily through monitoring smoke and fires, is crucial in reducing losses. Thanks to the efforts of researchers, wildfire detection technology has advanced significantly, from traditional manual monitoring to target detection, sensor detection, and infrared detection. However, the various detection methods still have some issues, including low accuracy, high costs, slow detection speeds and susceptibility to interference. This paper presents an improved approach to identifying wildfires based on YOLOv7 with CBAM. Our experimental results indicate that our approach achieves a mean Average Precision (mAP) of 95.77%, surpassing VGG-SSD with CBAM by 0.53%, MobileNetv2-SSD with CBAM by 0.37%, and Faster R-CNN with CBAM by 2.1%. Thus, our method offers a highly accurate approach to wildfire identification. © 2023 SPIE.

关键词： Smoke

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Early Enhancements within IoT Technology Integration for Ecological, Security, and Economic Auditing in Underground Mines 6

Early Enhancements within IoT Technology Integration for Eco...

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6th International Conference on Cybernetics, Cognition and Machine Learning Applications, ICCCMLA 2024

作者： Babu, J. Chinna Koneru, Lakshmi Sowjanya Kumar, Adarsh Venkatesh, B. Annamacharya University Department of Electronics and Communication Engineering Andhra Pradesh Rajampet India V R Siddhartha Engineering college Department of Electronics and Communication Engineering Andhra Pradesh Vijayawada India University of Petroleum and Energy Studies School of Computer Science Dehradun India Annamacharya University Department of Mechanical Engineering Andhra Pradesh Rajampet India

ISBN: (纸本)9798331505790

Underground mining safety and environmental monitoring have all benefited greatly from the widespread application of Internet of Things (IoT) technology. The many sensors used in mining operations are categorized by usage, and this article covers the various connected and unconnected connectivity options accessible, along with the network structures that may be helpful in underground mines. It also describes the fundamental structure of the mine Internet of Things (IoT) system, which is based on a widely accepted three-layer IoT architecture. This article offers a thorough analysis of current advancements in IoT applications for monitoring the environmental factors in underground mines, such as When extracting, one must take into account the amount of humidity, heat, air conditioning, water in the soil, bottom assistance, and earthquake activity. Usage of the Internet of Things has additionally been developed for industrial safety management, personnel and equipment location, and fire and hazard detection. This article discusses the main obstacles to the widespread use of Internet of Things equipment in subterranean mines, including data management issues, limited battery life, increased investment requirements, and disruptions to operations. To enhance the feasibility and efficacy of connected devices in beneath-the-earth mines, more research into advanced advancements like autonomous detectors, Internet of Things requirements, and underground wireless connection is required. © 2024 IEEE.

关键词： Investments

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Verifiable Decentralized Access Control for Distributed Databases 12

Verifiable Decentralized Access Control for Distributed Data...

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12th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2020

作者： Feng, Xiaowen Deng, Pengcheng Yi, Yanzi Yu, Qi Luo, Decun Deng, Hua Wang, Yujue State Grid Information Communication Company of Hunan Changsha China Hunan Xingtong Electric Information Communication Limited Company Changsha China School of Computer and Information Security Guilin University of Electronic Technology Guilin China College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (纸本)9781728184487

The traditional centralized database management mode brings security and privacy issues to user data. In this paper, we propose a verifiable distributed database access control (VDAC) scheme based on the ciphertext policy attribute-based encryption (CP-ABE) and decentralized ledger technology (DLT). In the VDAC scheme, CP-ABE is used to achieve fine-grained access authorization control on user data, and DLT is employed to publish authorization parameters and guarantee their immutability. Particularly, the decentralized authorization mechanism for distributed database is realized by using Hyperledger fabric platform. Comparison analysis shows that the VDAC scheme not only provides verifiable database access control, but also protects user privacy and system security. Experimental results demonstrate the efficiency and practicality of the VDAC scheme. © 2020 IEEE.

关键词： Authorization

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Intelligent GlucoSense: Innovations in Smart Devices for Personalized Health Monitoring 7

Intelligent GlucoSense: Innovations in Smart Devices for Per...

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7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023

作者： Nagesh, H.B. Arvind, R. Harish, L. Chethan, L.S. Kumar S, Mohana Maranan, Ramya Acs College of Engineering Electronics and Communication Engineering Karnataka Bangalore560074 India Cmr Institute of Technology Information Science and Engineering Karnataka Bangalore560037 India Pes Institute of Technology and Management Computer Science and Engineering Karnataka Shivamogga577204 India Ramaiah Institute of Technology Computer Science and Engineering Karnataka Bengaluru560054 India Saveetha School of Engineering Simats Department of Research and Innovation Tamil Nadu Chennai India

ISBN: (纸本)9798350341485

The constant monitoring of glucose levels is crucial for the effective management of diabetes and related conditions. With the advent of advanced technologies, glucose level monitoring systems have evolved to provide accurate and convenient solutions for individuals living with diabetes. The paper presents a comprehensive review of the various technologies and applications employed in glucose level monitoring systems. The earlier method provides an overview of the conventional methods for glucose monitoring, such as fingerstick blood glucose meters. While widely used, these methods have limitations in terms of invasiveness, discomfort, and the inability to capture continuous glucose data. To address these limitations, the proposed method discusses the emergence of non-invasive and minimally invasive techniques. system. The paper explores the integration of glucose level monitoring systems with the Blynk app to monitor the data remotely using smartphone applications and wearable devices which may incorporate the glucose and Heart Rate (HR) sensors and an OLED display for user interface. The benefits of integrations, such as enhanced user experience, remote monitoring, and data accessibility, are highlighted. The proposed wearable devices have paved the way for more accurate, convenient, and personalized glucose monitoring solutions, ultimately empowering individuals with diabetes to manage their condition effectively and lead healthier lives. © 2023 IEEE.

关键词： Glucose

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A novel test methodology for core-based system LSIs and a testing time minimization problem

A novel test methodology for core-based system LSIs and a te...

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IEEE International Test Conference

作者： M. Sugihara H. Date H. Yasuura Department of Computer Science and Communication Engineering Graduate School of Information Science and Electrical Engineering Kyushu University

In this paper, we propose a novel test methodology for core-based system LSIs. Our test methodology aims to decrease testing time for core-based system LSIs. Considering testing time reduction, our test methodology is based on BIST and ATPG. The main contributions of this paper are summarized as follows. (i). BIST is efficiently combined with external testing to relax the limitation of the external primary inputs and outputs. (ii). External testing for one of cores and BISTs for the others are performed in parallel to reduce the total testing time. (iii). The testing time minimization problem for core-based system LSIs is formulated as a combinatorial optimization problem to select the optimal set of test vectors from given sets of test vectors for each core.

关键词： System testing Large scale integration Minimization methods Built-in self-test Protection Logic testing computer science Information science Information technology Automatic test pattern generation

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The effective trust model based on heuristic theory in mobile P2P networks

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Journal of Information and Computational science 2011年第13期8卷 2911-2918页

作者： Chen, Yuantao Xu, Weihong Wu, Jiaying School of Computer Science and Technology Nanjing University of Science and Technology Nanjing 210094 China School of Computer and Communication Engineering Changsha University of Science and Technology Changsha 410004 China

There are some selfish nodes in mobile P2P networks multipath heuristic theory. All selfish nodes in mobile P2P networks maximize their earnings through the Heuristic theory. In this paper, a stimulus model is proposed which is suit for heuristic theory in a inter-session heuristic theory. In the multipath transmission, we use the detector to check the existence of selfish nodes. After selfish nodes are detected, we modified the multipath protocols. For selfish nodes, we adopt non-cooperation method to warning these nodes and the priority forwarding is used to active cooperation nodes. It is proved that Nash equilibrium is acquired for all peers to obey the trust model effectively. 1548-7741/Copyright © 2011 Binary Information Press.

关键词： Computation theory

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