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distributed HBase Cluster Storage Engine and Database Performance Optimization 23

Distributed HBase Cluster Storage Engine and Database Perfor...

引用

23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Zhang, Hao Rong-Li, G.A.I. School of Information Engineering Dalian University Dalian China

ISBN: (纸本)9781665494571

With the development of network society, individuals and enterprises generate massive data every day. However, the traditional relational MySQL database has poor performance in storing and processing massive data. In the case of huge amount of data, MySQL may even crash, which obviously cannot meet the needs of massive data storage. Obviously, with more and more emphasis on user-friendliness, the storage and processing application of massive data determine the future development of enterprises. this paper discusses the storage engine, high concurrency, architecture and distributed cluster of HBase, and then compares the performance differences between MySQL and HBase optimized with Bloom filter(Bloom HBase) on Linux platform. © 2021 ieee.

关键词： Concurrent computing Smart cities Linux distributed databases Memory Big Data Computer crashes

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distributed Cloud computing Architecture in Hyperspectral Remote Sensing Image Classification under Big Data 5

Distributed Cloud Computing Architecture in Hyperspectral Re...

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5th ieee international conference on Information systems and Computer Aided Education, ICISCAE 2022

作者： Feng, Kai Wu, Yi Shaanxi Academy of Aerospace Technology Application Co. Ltd. Xi'an China

ISBN: (数字)9781665481229

ISBN: (纸本)9781665481229

By using the cloud computing platform that has achieved excellent commercial results to perform parallel classification processing of massive remote sensing data, it can meet the requirements of improving the parallel processing efficiency of massive remote sensing data. the purpose of this paper is to study the application of distributed cloud computing architecture in hyperspectral remote sensing image classification based on big data. the related technologies of cloud computing are expounded, and the model of SCSRC, a sparse representation classification method based on spatial correlation constraints, is proposed. By analyzing the principle and solution method of SCSRC model, a distributed classification algorithm DP-SCSRC based on spatial correlation constraint sparse representation is proposed on the Spark platform, and the following optimization methods are designed for the core steps. Finally, through experiments with different computing nodes and different amounts of computing data, it is proved that the DP-SCSRC algorithm has a good distributed speedup ratio and data scalability under the premise of ensuring the classification accuracy. © 2022 ieee.

关键词： distributed cloud

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2024 5th international conference on Clean Energy and Electric Power Engineering, ICCEPE 2024

2024 5th International Conference on Clean Energy and Electr...

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5th international conference on Clean Energy and Electric Power Engineering, ICCEPE 2024

ISBN: (纸本)9798350390315

the proceedings contain 278 papers. the topics discussed include: layered control method for grid connected power consumption in electric hydrogen coupled energy systems;operation strategy study of wind-solar-hydrogen-chemical integration system;research on energy-saving and emission reduction measures for cement kiln production process with the introduction of clean energy;multi-time scale coordinated optimal scheduling for power system with a high proportion of new energy including multiple energy storage;optimization strategy for virtual energy storage of electric vehicles to participate in multiple ancillary services;optimal schedule of multi-energy co-generation with pumped storage power station based on particle swarm optimization;evaluation of the coordination between new energy integration and regional power grid;and static voltage stability based maximum integration ratio of distributed renewable energy in distribution power system.

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Smart Home Automation with IoT sensor systems for Energy Conservation using Zigbee and Wifi 5

Smart Home Automation with IoT Sensor Systems for Energy Con...

引用

5th international conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Jagannathan, Srinivasan Deepa, V. Sakthi Karthi Durai, B. Rajan, M. Sundar Celin, J. Jeya A. Dhamodaran, Sasikala Madanapalle Institute of Technology & Science Department of Computer Applications Madanapalle India Tiruppur Kumaran College for Women Pg and Research Department of Computer Science Tamil Nadu Tiruppur India Kalasalingam Academy of Research and Education Computer Science and Engineering India Arbaminch Institute of Technology Arbaminch University Faculty of Electrical and Computer Engineering Ethiopia Kalasalingam Academy of Research and Education Department of Information Technology Viruthunagar Krishnankoil626126 India Rajasthan Jaipur India

ISBN: (纸本)9798350379945

this study presents a comprehensive study on smart home automation systems utilizing Internet of things (IoT) sensor technology to achieve efficient energy conservation. the proposed system integrates ZigBee and WiFi communication protocols for effective and reliable connectivity across various smart devices within a home. through the deployment of interconnected sensors and intelligent controllers, the system allows real-time monitoring and management of household energy usage, optimizing energy consumption and reducing waste. the combination of ZigBee for low-power, long-range sensor networks and WiFi for high-speed data transmission enables seamless interaction between smart appliances, lighting, heating, and cooling systems. Proposesd approach offers a scalable, cost-effective solution for enhancing home automation with an emphasis on energy conservation and sustainability. Also discussed the implementation, challenges, and future potential of IoT-based smart home systems for improved energy efficiency. © 2024 ieee.

关键词： Smart homes

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TSITE IP: A Case Study of Intellectual Property distributed Platform based on Cloud Services 23

TSITE IP: A Case Study of Intellectual Property Distributed ...

引用

作者： Wang, Yang School of Intellectual Property Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)9781665494571

In recent years, the 'whole chain' development level of China's intellectual property creation, protection and application has been greatly improved. At the same time, cloud computing technology is booming, and intellectual property data distributed platforms based on cloud storage are emerging one after another. Firstly, this paper introduces the domestic intellectual property cloud platform services from the perspectives of government, state-owned enterprises and private enterprises;Secondly, four typical distributed platforms provided by commercial resources are selected to summarize the problems faced by the operation mode of domestic intellectual property services;then, it compares and discusses the functions and service modes of domestic intellectual property distributed platform, and takes TSITE IP as an example, puts forward the design and construction strategies of intellectual property protection, intellectual property operation service distributed platform and operation service mode under the background of information age. Finally, according to the development of contemporary information technology, this paper puts forward challenges and development direction for the future development of intellectual property platform. © 2021 ieee.

关键词： Computers Cloud computing Government distributed databases Intellectual property Market research Information age

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Dynamic Event-Triggered distributed Model-Free Adaptive Control for Unknown Nonlinear MASs with Stochastic Cyber-Attacks 5

Dynamic Event-Triggered Distributed Model-Free Adaptive Cont...

引用

5th international conference on Industrial Artificial Intelligence, IAI 2023

作者： Peng, Zhiqiang Liu, Dong Shenyang Aerospace University College of Automation Shenyang China

ISBN: (纸本)9798350325294

this paper studies the dynamic event-triggered distributed model-free adaptive control problem for unknown nonlinear multi-agent systems (MASs), in the presence of stochastic cyber-attacks. Firstly, the distributed output tracking error formula of all agents are transformed into linear model using dynamic linearization method. then, in order to alleviate the impact of stochastic cyber-attacks on system performance, the compensation mechanism based on predictive distributed output tracking error is proposed. In addition, considering the burden of network communication resources, the dynamic event-triggered mechanism is introduced. Based on the above, a new distributed model-free adaptive control scheme is established to ensure consistent tracking of all agents. Finally, numerical example is given to verify the validity of this control scheme. © 2023 ieee.

关键词： Multi agent systems

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Achieving Asymptotically Optimal throughput and Fairness for Energy Harvesting sensors in IoT Network systems 17

Achieving Asymptotically Optimal Throughput and Fairness for...

引用

ieee Congress on Cybermatics: 17th ieee international conference on Internet of things, ithings 2024, 20th ieee international conference on Green computing and Communications, GreenCom 2024, 17th ieee international conference on Cyber, Physical and Social computing, CPSCom 2024, 10th ieee international conference on Smart Data, SmartData 2024

作者： Gul, Omer Melih Istanbul Technical University Informatics Institute Istanbul Turkey

ISBN: (纸本)9798350351637

the rapid growth of Internet of things (IoT) results in tremendous interest in research for low-power wireless sensors. the energy harvesting (EH) ability of IoT sensors determines the efficiency and reliability of network connectivity inside IoT. this work considers a wireless sensor network (WSN) where a fusion center (FC) gathers data packets from EH sensors which can store energy without battery overflow or leakage. the FC selects a subset of nodes per time slot to gather data from them under stochastic data arrival processes via its mutually orthogonal channels. EH processes and battery states of sensors are unknown to FC. Similarly, data arrival (DA) processes and buffer states of sensors are unknown to FC, which only knows previous transmission results. We aim to propose a simple, efficient policy that maximizes network throughput and fairness in IoT network systems, which is very important, especially for 5G and next-generation networks. Data transmission relies on not only scheduled nodes' gathered energy but also their buffered data. If it has data to send and sufficient energy for transmission, a node can transmit data when scheduled. this paper proposes a low-complexity algorithm that is almost throughput and fairness optimal for quite general EH and DA processes over finite time horizons. We show that by removing the battery capacity limit, the proposed approach yields asymptotically optimal throughput and fairness for general EH and DA processes over an infinite time horizon. It achieves nearly optimality in throughput and fairness across finite time horizons with finite-capacity batteries, according to numerical simulations whereas existing solutions become suboptimal. © 2024 ieee.

关键词： sensor nodes

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MEMS Gas sensor Array Fault Diagnostic Unit for Microsystem Applications 5

MEMS Gas Sensor Array Fault Diagnostic Unit for Microsystem ...

引用

5th international conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2024

作者： Fu, Jie Yang, Jian Fu, Hongshuo Liu, Bing Zheng, Wenbin Fu, Ping Harbin Institute of Technology School of Electronics and Information Engineering Harbin China No.703 Research Institute of Cssc Harbin China

ISBN: (纸本)9798331529192

With the rapid development of the Internet of things and environmental sensing systems, intelligent microsystems based on MEMS (Micro-Electro-Mechanical systems) sensor arrays for environmental sensing have broad application prospects and advantages in fields such as environmental monitoring, medical diagnostics, and battlefield perception. these systems, particularly those aimed at machine olfaction, integrate MEMS gas sensor arrays with pattern recognition algorithms to monitor gases in the environment in real-time. the performance of these systems heavily depends on the accuracy of the MEMS gas sensor array signals. However, due to the characteristics of the sensitive materials and integrated manufacturing processes, environmental changes can cause failures in the MEMS gas sensor arrays, leading to abnormal operation of the entire microsystem. therefore, this paper designs a fault diagnosis unit for MEMS gas sensor arrays tailored for microsystem applications, measuring 19mm x 19mm x 3mm. this unit can identify five types of sensor faults: shock, bias, constant output, power loss, and precision degradation. It also features fault isolation and localization capabilities, providing a basis for data recovery in case of MEMS gas sensor failures. the fault diagnosis unit employs a multi-task fault diagnosis algorithm based on 1D CNN-LSTM, achieving a fault identification accuracy of 99.93%, fault isolation accuracy of 99.43%, and fault localization accuracy of 98.12%. It occupies 194k of FLASH and 20k of SRAM, with an average running time of 234ms and a power consumption of 11.58mW. © 2024 ieee.

关键词： Chemical sensors

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Reducing the Loading of Lines in Distribution Power system by Optimizing the Location of Electric vehicle Parking and distributed Generation Sources 5

Reducing the Loading of Lines in Distribution Power system b...

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5th international conference on Optimizing Electrical Energy Consumption, OEEC 2023

作者： Alirezapour, M. Bureau of Technical Administration of Transmission Network TAVANIR Holding Co. Iran

ISBN: (纸本)9798350302035

the use of distributed generation resources and plug in electric vehicles parking lot is one of the strategies examined in distribution networks to reduce power losses and improve voltage profiles. the capacity and location of DGs in the distribution network are critical to achieving these objectives. the data envelopment analysis method is used in this study to locate and calculate the optimal capacity of distributed generation sources and PREV parking lots in order to reduce power losses and decrease the loading of tie-lines and improve voltage profiles. On standard ieee 69 bus distribution systems, the proposed technique is implemented. the results demonstrate the effectiveness of the proposed method in locating and estimating the best capacity of distributed generation sources and PREYs parking by considering some power quality parameters such as voltage limit and network feeder capacity. © 2023 ieee.

关键词： Plug-in electric vehicles

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Shallow And Deep Learning In Footstep Recognition: A Survey 5

Shallow And Deep Learning In Footstep Recognition: A Survey

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5th international conference on computing and Informatics (ieee ICCI)

作者： Iskandar, Ayman Alfonse, Marco Roushdy, Mohamed El-Horbaty, El-Sayed M. Future Univ Egypt Dept Comp Sci Fac Comp & Informat Technol Cairo Egypt Ain Shams Univ Dept Comp Sci Fac Comp & Informat Sci Cairo Egypt

ISBN: (纸本)9781665499736;9781665499729

Analyzing gait data is a branch of biomechanics that offers a degree of privacy, low-cost, and effortless objective identification for individuals. Consequently, gait recognition can be used as a replacement for passwords, or as an extra security measure with existing passwords. this paper focuses on surveying footstep recognition, comparing deep learning and shallow learning, and providing an overview of the current state of footstep recognition. It might be useful to both professionals and beginners in this field of research.

关键词： Biometrics Deep learning Floor sensor Gait Neural network

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