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5th international conference on Computer Communication and Network Security, CCNS 2024

作者： Bao, Liang Li, Zhiqi Luo, Fucai Sun, Wangshu Yang, Yang The Third Research Institute of Ministry of Public Security Pudong New Area Shanghai200120 China Co. Ltd. Changping District Beijing102200 China State Grid Fujian Electric Power Co. Ltd. Fujian Fuzhou350001 China State Grid Zhejiang Electric Power Co. Ltd. Zhejiang Hangzhou311500 China

ISBN: (纸本)9781510681842

After the application of anti leakage methods, it is easy to re encrypt, resulting in poor anti leakage performance of data flow across domains. therefore, it is necessary to design a new cross domain cyclic anti leakage method for sensitive network data based on homomorphic encryption. We have constructed a model for cross domain flow and leakage prevention of sensitive data, and designed a cross domain flow and leakage prevention algorithm for sensitive network data using homomorphic encryption, thereby achieving cross domain flow and leakage prevention of data. the experimental results show that the designed anti leakage method for cross domain data flow has high accuracy and detection rate, as well as low false positive rate, false negative rate, memory consumption, and CPU execution time. this proves that the method has good performance, reliability, and certain application value, and has made a certain contribution to reducing the security risk of sensitive data transmission. © 2024 SPIE.

关键词： Information leakage

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Research on carbon emission accounting for industrial-type integrated energy projects based on the emission factor method 9

Research on carbon emission accounting for industrial-type i...

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9th international conference on Energy Materials and Electrical engineering, ICEMEE 2023

作者： Zhang, Yuzhuo Zheng, Haifeng Wu, Peng Zhang, Yinuo Wang, Yongli Dou, Zhenlan Sun, Pei Economic and Energy Supply and Demand Department State Grid Energy Research Institution Beijing102209 China College of Economics and Management North China Electric Power University Beijing102206 China Technical Engineering Department State Grid Shanghai Municipal Electric Power Company Shanghai200122 China Power Technology Center State Grid Shanghai Electric Power Research Institute Shanghai200122 China

ISBN: (纸本)9781510672765

Based on the carbon emission factor method, this paper establishes a carbon emission accounting method for the entire life cycle of an integrated energy project. this method takes the administrative boundary of the park as the system boundary and utilizes the basic statistical data and emission factors of the entire life cycle of the industrial park. this approach focuses on the construction phase, operation phase, direct combustion of energy in the project, external input of electricity, external power input, heat and solid waste treatment phases. the carbon emissions of an industrial park in Shandong province is taken as an example, and a carbon emission management method for industrial energy projects is proposed based on the results. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Carbon Industry Combustion Solar energy Solids Carbon monoxide Power consumption Power grids Raw materials System integration

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Optimization and performance analysis of Wi-Fi indoor fingerprint localization algorithm 5

Optimization and performance analysis of Wi-Fi indoor finger...

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5th international conference on Frontiers technology of Information and Computer, ICFTIC 2023

作者： Wang, Xiajie Zhu, Chen Tian, Yue Wang, Xianling Lin, Yuxi Li, Wenda Xiamen University of Technology School of Opto-electronics and Communication Engineering Xiamen361000 China University College London Department of Security and Crime Science United Kingdom

ISBN: (纸本)9798350309034

With the development of the Internet of things (IoT), location estimation has become an essential and key factor in various monitoring applications for the IoT. Location fingerprint localization based on Wi-Fi has gradually become a hot spot in the field of localization technology. It uses different fingerprint-matching algorithms for user location estimation. However, many interfering factors can affect the transmission of the signal, resulting in biased fingerprint data. Such as indoor multipath, shadows, noise, and other interference. therefore, to enable various applications of IoT, the need for accurate indoor location services has become very important. In this paper, different fingerprint-matching algorithms in the localization system based on Wi-Fi Received Signal Strength Indicator (RSSI) signal are compared and analyzed. In the analysis, we compare the Nearest Neighbor algorithm (NN), K-Nearest Neighbor Algorithm (KNN), and Weighted K-Nearest Neighbor Algorithm (WKNN) for user location estimation. this paper proposes an improved localization algorithm for WKNN, which not only optimizes the number of RSSI acquisition and localization range but also optimizes the selection of K. thereby improving the accuracy of indoor fingerprint localization. the performance of these fingerprint-matching algorithms is discussed from the aspects of average localization error and probability distribution of localization error. Experimental results show that the WKNN fingerprint-matching algorithm has higher localization accuracy compared with other fingerprint-matching algorithms. © 2023 IEEE.

关键词： fingerprint-matching algorithm KNN RSSI Wi-Fi indoor localization WKNN

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Comparative Analysis of Various Feature Extraction Methods on IoT 2023 5

Comparative Analysis of Various Feature Extraction Methods o...

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5th international conference on Innovative data Communication Technologies and Application, ICIDCA 2024

作者： Vergin Raja Sarobin, M. Ranjith, J. Ashwath, D. Vinithi, K. Smiti Khushi, V. School of Computer Science and Engineering VIT Chennai India

the Internet of things (IoT) has emerged as a transformative technology with applications spanning diverse domains, from healthcare to smart cities. Efficient utilization of IoT data is essential for extracting meaningful insights and supporting decision-making processes. this research paper focuses on the critical task of feature extraction from IoT data, with a particular emphasis on the IoT 2023 dataset—a comprehensive and widely-used benchmark dataset in the IoT domain. In this study, exploration and comparison of various feature extraction methods are undertaken to enhance understanding of IoT 2023 dataset characteristics and its potential applications. Traditional statistical techniques, as well as machine learning-based approaches for feature extraction, are investigated. Evaluation of these methods is based on their ability to capture relevant information, reduce dimensionality, and enhance the performance of downstream IoT analytics tasks. Extensive experiments are conducted, and a comprehensive performance analysis is presented to guide the selection of the most suitable feature extraction approach for specific IoT applications. the outcomes of this research contribute to ongoing efforts to harness the potential of IoT data by offering a comprehensive understanding of the impact of feature extraction methods on data quality and predictive accuracy. this aids in paving the way for more informed and effective IoT solutions in 2023 and beyond. © 2024 the Authors. Published by Elsevier B.V.

关键词： Internet of things

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Multi-publisher and Subscriber Lightweight Communication for IoT Using the Cloud 5th

Multi-publisher and Subscriber Lightweight Communication for...

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5th international conference on Trends in Computational and Cognitive engineering, TCCE 2023

作者： Trivedi, Atindra Chaurasia, Brijesh Kumar Department of Computer Science and Engineering Pranveer Singh Institute of Technology Uttar Pradesh Kanpur India

ISBN: (纸本)9789819719228

the rapid proliferation of IoT devices has spurred the need for efficient and scalable communication protocols that enable seamless data exchange between IoT sensors and cloud-based platforms. this paper delves into the realm of multi-publisher and subscriber lightweight communication for IoT, leveraging the capabilities of the MQTT protocol. In the context of the IoT, sensors play a pivotal role as data collectors, extracting valuable insights from the physical world. this work elucidates the process of connecting these sensors to the cloud, emphasizing the significance of MQTT as the communication bridge. the MQTT protocols publish–subscribe model fosters a decoupled communication paradigm, allowing IoT sensors to act as publishers and cloud-based entities as subscribers. this architecture not only minimizes resource consumption but also accommodates the growing number of IoT sensors while ensuring efficient data transmission and real-time analysis. through a comprehensive exploration of the interplay between IoT sensors, cloud connectivity, and MQTT communication, this paper sheds light on the potent synergy driving the evolution of IoT ecosystems. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Internet of things

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Enhancing ephemeris accuracy in low earth orbit: a Chebyshev polynomial fitting approach during earth's shadow period 5

Enhancing ephemeris accuracy in low earth orbit: a Chebyshev...

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5th international conference on Geoscience and Remote Sensing Mapping, ICGRSM 2023

作者： Chen, Hao Li, Zongnan Liu, Xiaohui College of Electronic Science and Technology National University of Defense Technology Changsha China

ISBN: (纸本)9781510672789

Low Earth orbit (LEO) satellites are a key focus in the research and development of next-generation navigation systems. When combined with existing Global Navigation Satellite Systems (GNSS), they can significantly enhance the accuracy, integrity, availability, and anti-jamming capabilities of satellite navigation and positioning services. Broadcast ephemeris, which is essential for providing navigation services, directly impacts user experience. Currently, main stream broadcast ephemeris fitting primarily employs orbital element-based ephemeris models. However, these models are intermittently affected by solar radiation pressure perturbations during satellite entry and exit from the Earth's shadow, which is more frequent due to the shorter orbital periods in LEO. therefore, this paper investigates the feasibility of using Chebyshev polynomials to fit broadcast ephemeris in LEO. It also addresses issues related to setting Chebyshev polynomial fitting parameters. Experimental analyses are conducted on fitting order, fitting arc length, and selection of fitting point intervals. the results show that the Chebyshev polynomial fitting is more stable than the 22 parameter ephemeris model with orbital elements in the fitting arc segment containing the incoming and outgoing shadows. When the fitting order is25, the fitting time does not exceed 90 minutes, and the fitting accuracy can reach the level of 0.1 millimeters. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Chebyshev polynomials

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Design and Implementation of Remote Measurement and Calibration System for Gas Sensor Based on Internet of things 5

Design and Implementation of Remote Measurement and Calibrat...

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5th international conference on Internet of things, Automation and Artificial Intelligence, IoTAAI 2023

作者： Li, Bo Zhao, Zhike Feng, Shuaibo Henan Institute of Metrology Henan Zhengzhou450008 China College of Electrical Engineering Henan University of Technology Henan Zhengzhou450001 China

ISBN: (纸本)9798400716485

this paper presents a designed remote measurement and calibration system for gas sensors based on the Internet of things (IoT). the system consists of a microcontroller, calibration device, wireless communication module, and LCD screen. the microcontroller controls the calibration device, which feeds standard gas into the gas sensor's probe at regular intervals. this allows for the collection, calculation, and calibration of the gas sensor's output signal. the system also enables remote data transmission through the wireless communication module. Experimental results demonstrate that the system can timely detect drift in the gas sensor during the verification period, ensuring continuous monitoring and measurement without the need to disassemble the gas sensor. Additionally, the system greatly reduces the risk associated with gas sensor measurement in complex working conditions. © 2023 ACM.

关键词： Internet of things

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5^th Parul University international conference on engineering and technology PiCET-2023

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AIP conference proceedings 2024年第1期3107卷

作者： Sitharam, T.G. Gupta, Akhilesh Hussein, Jemal Mishra, Yogendra Kumar Reddy, M.V. AICTE Delhi India Science & Engineering Research Board (SERB) Department of Science & Technology (DST) Government of India India Faculty of Science Engineering and Built Environment Deakin University Australia Mads Clausen Institute (MCI) Denmark SDU NanoSyd Denmark New graphite world (Nouveau Monde Graphite) (NMG) Montreal Canada

5th Parul University international conference on engineering and technology PiCET-2023, AIP conference proceedings, Volume 3107, Issue 1, 2 May 2024, 01000

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Research and Practice of Extraction technology for Ice-cover-prone Micro-topography in Guizhou 6

Research and Practice of Extraction Technology for Ice-cover...

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6th international conference on Computer Information Science and Application technology, CISAT 2023

作者： Shuzhou, Xiao Qiang, Fan Jianrong, Wu Chao, Zhao Dekun, Wu Electric Power Research Institute of Guizhou Power Grid Co. Ltd. Guizhou Guiyang550002 China Duyun Guiding Power Supply Bureau of Guizhou Power Grid Co. Ltd. Qiannan Buyi and Miao Autonomous Prefecture Guizhou558000 China

ISBN: (纸本)9781510668546

Winter climate will lead to abrupt change of microtopographic features in local geographic areas, resulting in ice disaster, which will seriously affect the safe operation of power grid transmission lines. Such areas are called ice-prone microtopographic *** paper compares the common extraction methods of regional micro-topography and terrain feature lines, and focuses on researching the traditional method of identifying micro-topography in ice-cover-prone regions based on the terrain recognition algorithm of surface water physical simulation. In the end, we obtain a micro-topographic map of the whole area of Guizhou containing six types of micro-topography, including ridges, valleys, passes, windward slopes, leeward slopes, and water vapor upwelling areas. We verify the effectiveness of the method through precision *** provides topographic data reference for inspection and maintenance of ice-covered transmission lines and deployment of anti-icing work of transmission lines. © 2023 SPIE.

关键词： Surface waters

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Tracer for Estimation of the data Changes Delivered and Permalinks 5th

Tracer for Estimation of the Data Changes Delivered and Perm...

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5th EAI international conference on big data Innovation for Sustainable Cognitive Computing, BDCC 2022

作者： Prasad, N.H. Kavitha, S. Narayana, Laxmi Sanjay, G.R. Department of Masters of Computer Applications Nitte Meenakshi Institute of Technology Bangalore India

ISBN: (纸本)9783031283239

In the field of software engineering, Source Code Management is always challenging and difficult to cope in certain stages. Source Code Management (SCM) plays an important role in organizing, managing, and controlling the changes delivered by the developers to the source code, documents, and other entities. During the Software Development Life Cycle (SDLC) of a software product, many stakeholders of different teams also from different geographical locations are involved, including developers, testers, and analysts. With the involvement of a number of stakeholders, organizing, managing, and controlling the changes plays an important role. Software Configuration Management (SCM) is a process that helps methodically organize, control, and manage the changes in documents, code, and other entities during the SDLC of the software product. Currently, there is no system within LGSI that can track the changes made to the code by the various stakeholders involved. this study aims to overcome this problem;the LGSI proposed a new system called Change Tracker. the study finds that an individual developer can track the changes delivered to his/her interested files and creates permalinks delivered by LGSI developers then the permalinks will be reviewed by the review task team. In this paper, the model notifies the respective stakeholders when the changes are made and thus overcome the current system’s flaws. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Life cycle

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