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Research on High-Performance Framework of Big Data Acquisition, Storage and Application for Warfare Simulation

Research on High-Performance Framework of Big Data Acquisiti...

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Electronic Technology, Communication and Information (ICETCI), ieee international conference on

作者： Rongsen Li Yi Cao Zhiqiang Li Yubo Tang Yang Liu Jingde Liu State Key Laboratory of Intelligent Game National Defense University Beijing China

ISBN: (数字)9798350361643

ISBN: (纸本)9798350361650

Against some "pain points" in data access of traditional warfare simulation, a new framework of big data collection, storage and application for warfare simulation was designed based on the data acquisition, storage and application methods of typical warfare simulation systems at home and abroad. the new framework uses bus-based data acquisition as the data acquisition source, uses a distributed big data platform as the underlying storage foundation, uses a high-performance relational in-memory database, and preprocesses the output data to generate a result data set, which is stored in the in-memory database. the streamlined result set provides high-speed service. the system consists of three large modules, namely the acquisition subsystem, the storage management subsystem, and the high-performance service subsystem. Multiple rounds of practical applications have shown that the new framework provides reliable data access support for other components within the whole system.

关键词： Electronic warfare Pain Data acquisition Storage management distributed databases Big Data Reliability

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distributed MPC Compensation-Based LFC for Heterogeneous Multi-area Interconnected Power systems 8th

Distributed MPC Compensation-Based LFC for Heterogeneous Mul...

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8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent computing for Sustainable Energy and Environment, ICSEE 2024

作者： Chi, Xiaobo Li, Xinyi Liu, Xiaolin Jia, Xinchun School of Automation and Software Engineering Shanxi University Taiyuan030031 China School of Mathematical Sciences Shanxi University Taiyuan030006 China The Key Laboratory of Complex Systems and Data Science Ministry of Education Taiyuan030006 China

ISBN: (纸本)9789819602247

this paper addresses the distributed load frequency control (LFC) problem for multi-area interconnected power systems (MAIPSs) with thermal and wind power generations, considering both inter-area and intra-area transmission delays and random packet losses induced by communication networks. Firstly, a heterogeneous framework of MAIPSs is constructed, where a networked distributed model predictive control (DMPC) scheme is proposed to compensate for transmission delays and random packet losses. Based on this framework, we then developed a distributed closed-loop LFC system model for heterogeneous MAIPS. Subsequently, a Luenberger observer is constructed to estimate the system state of the local area, and a networked feedback controller is designed to ensure stability with a certain H∞ performance level for the networked MAIPSs. Moreover, stability conditions and controller design criteria are provided by using the Lyapunov-Krasovskii stability theory. Finally, the control performance of the proposed method is verified through an example of a two-area interconnected power system. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Predictive control systems

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2021 ieee 4th international conference on Power and Energy Applications, ICPEA 2021

2021 IEEE 4th International Conference on Power and Energy A...

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4th ieee international conference on Power and Energy Applications, ICPEA 2021

ISBN: (纸本)9781665413954

the proceedings contain 27 papers. the topics discussed include: analysis of center of inertial frequency in a power grid that includes distributed energy resources connected via smart inverters;on-line detection method of supraharmonic in distribution network based on identification of switching frequency;power system operation in the presence of flexible prosumers considering system congestion;analysis of cell-to-cell variation in a battery pack after long service life using parameter identification;battery management systems topologies: applications : implications of different voltage levels;supraharmonic emissions of a bidirectional electric vehicle charging station - a research methodology based on tests at reconstructed distribution grid;and drone-based sensing and exploration of overhead electric power lines.

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A Visual Calibration Driven Gait Analysis Model using Wearables

A Visual Calibration Driven Gait Analysis Model using Wearab...

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ieee international conference on Human-Machine systems

作者： Chengwei Lin Wen Qi Hang Su Giancarlo Fortino dept. of Future Technology SCUT Guangzhou China IBISC Laboratory Paris-Saclay University Paris France dept. of DIMES University of Calabria Rende Italy

ISBN: (数字)9798350315790

ISBN: (纸本)9798350315806

Gait analysis is a critical tool in clinical research, providing invaluable insights into the locomotor abilities and potential underlying neurological or musculoskeletal conditions of patients, particularly those afflicted with stroke and athetosis. Currently, in gait analysis research, there is a predominant reliance on either single wearable or non-contact sensors, resulting in issues such as a lack of comprehensiveness in gait parameter analysis and the absence of control for calibration. Nowadays, a system combining both sensors has become a common approach to address these challenges above. However, while numerous researchers have proposed a variety of such systems, the majority of them need more adaptability and universality. Hence, we proposed an adaptive general gait analysis model based on IMU data calibrating by vision information (AdaGA-VI). In this model, regardless of the placement of sensors on the body, the positional changes between each sensor can be accurately calculated using quaternions. Experimental results indicate that our model enhances the accuracy of gait parameter analysis and exhibits extensive applicability to other analyses involving quaternions.

关键词： Analytical models Adaptation models Visualization Quaternions Computational modeling Stroke (medical condition) sensor systems

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4th Workshop on Education for High Performance computing

4th Workshop on Education for High Performance Computing

引用

ieee international conference on High Performance computing Workshops (HiPCW)

作者： Sushil K. Prasad Sheikh Ghafoor Ashish Kuvelkar Preeti Malakar

Welcome to the 4 th Workshop on Education for High Performance computing (EduHiPC 2022). the EduHiPC 2022 workshop, held in conjunction with the ieee international conference on High Performance computing Data & Analytics (HiPC 2022), is devoted to the development and assessment of educational and curricular innovations and resources for undergraduate and graduate education in Parallel and distributed computing (PDC) and High Performance computing (HPC). EduHiPC brings together individuals from academia, industry, and other educational and research institutes to explore new ideas, challenges, and experiences related to PDC pedagogy and curricula. the workshop is designed in coordination with the ieee TCPP curriculum initiative on parallel and distributed computing ( hitps://*** .edu/curriculum/) for undergraduates majoring in computer science and computer engineering. It is supported by C-DAC, India and the US National Science Foundation (NSF) supported Center for Parallel and distributed computing Curriculum Development and Educational Resources (CDER). Details for attending the workshop are available on the HiPC webpage (HiPC). the effect of pandemic on academic and research community seems now to be globally receding as was evident from the enthusiastic in-person participation of conference delegates. Please visit the EduHiPC-22 webpage for the complete online proceedings, including copies of papers and presentation slides: EduHiPC 2022 | NSF/ieee-TCPP Curriculum Initiative.

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IoT Aroma sensor Module to Determine Beverage Alcohol Grade 11

IoT Aroma Sensor Module to Determine Beverage Alcohol Grade

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11th ieee international conference on Intelligent Data Acquisition and Advanced computing systems - Technology and Applications (IDAACS)

作者： Mendoza Montoya, Jorge Javier Torregrosa Penalva, German Avila Navarro, Ernesto Huanca Zea, Kevin Rivera Suana, Javier Alvaro Chilo, Jose Univ Tecnol Peru Dept Syst & Informat Arequipa Peru Miguel Hernandez Univ Dept Signal Theory & Commun Elche Spain Miguel Hernandez Univ Dept Mat Sci Opt & Mat Technol Elche Spain Andina Nestor Caceres Velasquez Univ Dept Elect & Telecom Juliaca Peru Univ Gavle Dept Elect Engn Math & Sci Gavle Sweden

ISBN: (纸本)9781665426053

Industry 4.0 is the technology of the future, which is based, among other things, on the Internet of things (IoT) and sensors that provide online information about the production processes. Electronic noses (E-noses) are gas sensor technologies expanding IoT, contributing to better alcohol production performance and providing important information about production process parameters. In this work, we have developed a low-cost, wireless, and compactness aroma sensor module applied to the alcohol industry. We use four metal oxide sensors, MQ-2, MQ-3, MQ-4, and MQ-135, embedded in the E-nose headspace and controlled by a 32-bit ESP32 WROOM microcontroller. the alcohol grade measurements were performed on beer and wine samples. MQ-3 sensor was stable till 20% alcohol grade, and MQ-2, MQ-4, and MQ-135 sensors were regular only until 5% alcohol. Our experiments let us determined alcohol grade with precision above 92%.

关键词： E-Nose IoT Alcohol grade Industry 4.0

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DAGSec: A hybrid distributed ledger architecture for the secure management of the Internet of things 4

DAGSec: A hybrid distributed ledger architecture for the sec...

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4th ieee international conference on Blockchain (Blockchain)

作者： Alvarenga, Igor D. Camilo, Gustavo F. De Souza, Lucas A. C. Duarte, Otto Carlos M. B. Univ Fed Rio de Janeiro GTA COPPE UFRJ Grp Teleinformat & Automacao Rio De Janeiro Brazil

ISBN: (纸本)9781665417600

the rise of 5G mobile broadband networks creates new possibilities for the Internet of things. Billions of devices will provide comprehensive services, including e-health applications, smart grids, and industry 4.0. distributed ledger technologies solve most security and privacy threats of current IoT systems connected to a cloud or multi-access edge communication (MEC). Unfortunately, the volume of transactions imposed by 5G networks prevents blockchain-based solutions due to scalability issues. Nonetheless, emerging solutions based on directed acyclic graphs (DAG), still require some form of centralization or global view. this article proposes DAGSec, a hybrid distributed ledger architecture that provides a secure Internet of things environment with high throughput and low latency. Our proposal uses directed acyclic graphs and local transaction validation instead of global transaction validation to attain a high transaction rate. Furthermore, we propose a blockchain-based witness system to approximate chronological order of independent transactions.

关键词： Internet of things (IoT) blockchain edge and cloud computing next generation networks

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EPIC-RoofNet: A sensor Network Testbed for Solar Irradiance Measurement and Analysis 16

EPIC-RoofNet: A Sensor Network Testbed for Solar Irradiance ...

引用

16th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Pal, Amitangshu Temple Univ Comp & Informat Sci Philadelphia PA 19122 USA UNC Charlotte Charlotte NC USA

ISBN: (纸本)9781728143514

this paper describes the development of an experimental wireless sensor network (WSN) testbed for studying the nature of irradiance measurements at the sensor nodes that are deployed at different points in the WSN, and oriented differently depending on the deployment geometry. the network was developed on the roof of an academic building at the University of North Carolina at Charlotte (UNC Charlotte), where the sensor nodes are equipped with pyranometer sensors to periodically collect the irradiance measurements at different points and send then to a centralized base station using multi-hop communication. the collected data is analyzed to demonstrate the spatial and temporal variation of energy availability at each individual node, resulting from the localized variations in the light levels.

关键词： Wireless sensor networks solar harvesting irradiance sensing data collection analysis

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A Novel Hybrid Evolutionary computing Framework for Scalable and Efficient Problem Solving

A Novel Hybrid Evolutionary Computing Framework for Scalable...

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distributed computing and Electrical Circuits and Electronics (ICDCECE), ieee international conference on

作者： T. S. Umamaheswari Sharada Prasad N Mahesh Kumar A. S T. Vamshi Mohana Amit Gantra Vivek Nemane Department of Computer Science & Applications Jayagovind Harigopal Agarwal Agarsen College Chennai India Department of Electrical and Electronics Engineering RNSIT Bangalore India Department of Electronics and Communication Engineering Maharaja Institute of Technology Mysore India Department of Computer Science R.B.V.R.R. Women’s College Hyderabad India Department of Computer Science and Engineering Faculty of Engineering and Technology Parul Institute of Engineering and Technology Parul University Post Limda India Faculty of Law Symbiosis Law School Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798331533663

ISBN: (纸本)9798331533670

Most of the conventional EA encounter scalability and performance issues in solving large-scale optimization problems. For these reasons, this research presents a sophisticated HECF that addresses all the aforementioned limitations. the application of genetic algorithms, particle swarm optimization, and differential evolution as another evolutionary paradigm in a selection mechanism such that the computational resources will be allocated based on a dynamic scheme will be proposed in this research. Because all the delay parameters used in the model are optimized at runtime by the help of learning functions, the methods of machine learning are used in this algorithm. In the benchmark problems, the results come up with 87.3% improvement of solution quality and 62.1% time reduction of the proposed hybrid framework over the traditional methods. Analysis of scalability: proven in scalability tests and problems of increasing dimensions (retained efficiency 95.8%). this framework of ECA can be used for a comprehensive solution when there is great specialization in the feasible region and the optimization problem is highly complex and large in size.

关键词： Runtime Machine learning algorithms Scalability Heuristic algorithms Machine learning Dynamic scheduling Problem-solving Particle swarm optimization Optimization Genetic algorithms

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Portable Outdoor Air Quality Monitoring Using A Wireless sensor Network (WSN) 4

Portable Outdoor Air Quality Monitoring Using A Wireless Sen...

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4th ieee international conference on computing and Information Sciences, ICCIS 2021

作者： Aziz, Azrina Abd Drieberg, Micheal Halil, Nur Hazwani Ahmad Zahiruddin, Muhamad Amir Chandra, Indra Azwan, Mohamed Razif, Mohamed Universiti Teknologi PETRONAS Bandar Seri Iskandar Department of Electrical and Electronics Engineering Perak Malaysia Telkom University Engineering Physics School of Electrical Engineering Indonesia

ISBN: (纸本)9781665494410

Air pollution is a major environmental issue that is harmful to the living organisms and climate. the increasing level of air pollution contributed by the release of dangerous air particles are seriously degrading visibility and causing a respiratory problem to many people. Installation of air quality monitoring system in critical areas to determine the trends of ambient air quality for prevention and corrective measures is necessary. Some existing systems are costly, require high maintenance and are not widely available in many areas. this paper presents a portable and light-weight air quality monitoring system using a wireless sensor network (WSN) to monitor the air quality in the outdoor environment and provide a remote access. Our proposed system monitors the major air pollutants which are carbon monoxide (CO), particulate matters with diameter less than 2.5 micron (PM2.5), and carbon dioxide (CO2) and records the temperature and humidity readings. LoRa technology is used to achieve the long-range data transmission and the transmitted data are then stored in the cloud server for future use and easy access. the air pollution index (API) is used as an indicator of the air quality to provide the status of the air quality. the finding of this paper indicates that the air in the rural area is less polluted than the air in the urban area, which is mainly contributed by the rapid economic development, vehicle exhaust fumes, and chemical discharge. © 2021 ieee.

关键词： Carbon monoxide

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