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共 3334 条记录，以下是131-140 订阅

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Accelerating BFT Database with Transaction Reconstruction

Accelerating BFT Database with Transaction Reconstruction

引用

1st international conference on Smart Energy systems and Artificial Intelligence (SESAI)

作者： Kida, Aoi Kawashima, Hideyuki Keio Univ Yokohama Kanagawa Japan

ISBN: (纸本)9798350364613;9798350364606

Data stores utilized in modern data-intensive applications are expected to demonstrate rapid read and write capabilities and robust fault tolerance. Byzantine fault-tolerant database (BFT database) can execute transactions concurrently and tolerate arbitrary faults (Byzantine fault). We consider cryptographic and communication processing as performance bottlenecks in the transaction processing of BFT databases. This paper presents a transaction reconstruction method, reconstructing a single transaction from multiple transactions to streamline cryptographic and communication processes. We evaluated the proposed method with Basil (state-of-the-art BFT database) in experiments. In an environment where nodes are geographically centralized, the proposed method demonstrates up to approximately 2.5 times higher throughput and reduces latency by up to about 30% than vanilla Basil. In an environment where nodes are geographically distributed, the proposed method demonstrates up to approximately 50 times higher throughput and reduces latency by up to about 75% than vanilla Basil.

关键词： Byzantine fault tolerance distributed database Transaction processing

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indexPDT: A High Scalable distributed Classification Approach with Novel Cache structure for Geo-location 25

indexPDT: A High Scalable Distributed Classification Approac...

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25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Sun, Zhijie Li, Jing Xie, Jun Zheng, Binfan Zeng, Li Zhao, Rongqian Huawei Technologies Co. Ltd. Shenzhen China

ISBN: (纸本)9798350330014

Geo-location, also known as measurement report (MR) location, is a technique to determine the geographic location of user equipment (UE) and the behaviour attribute of telephone traffic based on wireless signals measured by the mobile communication network. The geographic location information can help to support network performance monitoring and evaluation. Considering accuracy and cost, we mainly adopt a hybrid location scheme combined with feature matching location and Weighted Centroid Correction Location (WCCL). As for feature matching location, over 20 billion samples gathered from tens of thousands of cells daily updated. Due to the vast data scale, feature analysis encounters a severe performance bottleneck. To address this problem, we design the indexed parallel decision tree (indexPDT) operator and integrate it into WindTensor, a self-innovated distributed machine learning (ML) engine. indexPDT is a classifier unit of the random forest (RF) algorithm with a novel cache structure. It performs structured cache processing on the dataset's meta-information, which can accompany the splitting of nodes. The cache structure can be quickly converted into statistical information to help find the optimal splitting point, effectively reducing memory usage and improving performance. Under the public datasets testing on 5 nodes, the mean speedup ratios are 86x and 3x compared with SparkML and XGBoost, respectively. In the Geo-location scenario, for a single cell, the speedup ratios are 82x and 4x compared with SparkML and XG Boost, respectively. © 2023 ieee.

关键词： Location

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Research on Coordinated Control and Hierarchical Partition Control strategy of distributed Generation in New Power System 1

Research on Coordinated Control and Hierarchical Partition C...

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2024 1st international conference on Smart Grids and Power systems, ICSGPS 2024

作者： An, Zhihao Lv, Shaoshuai Yin, Ning Wang, Zongli Shandong Zhongyao Electric Power Technology Co. Ltd. Jinan China Shandong Zhongyuanbochuang Electric Power Co. Ltd. Jinan China

In recent years, the structure of urban power systems has become more complex and the power flow is more changeable, which seriously hinders the optimal scheduling of urban power systems. Therefore, it is necessary to realize the coordinated control of distributed generation, flexible load, and reactive power equipment globally and locally, improve the utilization rate of distributed generation, give full play to the source and load of electric vehicles and energy storage devices, and realize the optimal scheduling of urban power system. This paper proposes a multi-time scale distributed power coordinated control and hierarchical partition control model, which realizes the coordinated optimal control of the new power system for distributed power, load, and energy storage. The effectiveness of the model in this paper is verified by ieee33 node simulation. © 2024 Published under licence by IOP Publishing Ltd.

关键词： Electric load flow

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The simulation method on distributed braking scheme for heavy-haul train 1

The simulation method on distributed braking scheme for heav...

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1st international conference on Cyber-Energy systems and Intelligent Energy, ICCSIE 2022

作者： Zhang, Chengjie Xi, Wenjing Zhang, Jilie Chang, Zhanhua Southwest Jiaotong University School of Information Science and Technology Chengdu611756 China Southwest Jiaotong University SWJTU-Leeds Joint School Chengdu611756 China

ISBN: (纸本)9781665452151

In order to solve the problem of coupler forces between heavy-haul cars, a distributed scheme design is proposed. It essentially is a cooperative controller, which eliminates the coupling effect between front and rear cars, further transforming the braking problem of heavy-haul train into the braking problem for vehicle queues. Based on the design of this scheme, we solve the difficulty of decoupling the heavy-haul train model, and subsequently obtain results by numerical integration. Numerous numerical simulations utilizing the Matlab program are used to demonstrate the effectiveness and superiority of the proposed controller. © 2023 ieee.

关键词： Braking

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Flexible PEDOT:PSS/PVA Temperature sensor for Cost-Effective Wearable Medical Devices 5

Flexible PEDOT:PSS/PVA Temperature Sensor for Cost-Effective...

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5th National and the 1st international conference on Applied Research in Electrical Engineering, AREE 2025

作者： Teymourmoghadam, Jaefar Chegini, Ebrahim Hezare Sevom Co. 7-Niloofar Sq. 1533-874-417 Tehran Iran Shahid Sattari Aeronautical University of Science and Technology Electrical Engineering Department Tehran Iran

ISBN: (纸本)9798350377170

The development of flexible and biocompatible temperature sensors is critical for wearable healthcare applications, enabling continuous and non-invasive body temperature monitoring. This paper presents a temperature sensor based on a PEDOT:PSS/PVA composite fabricated using a straightforward drop-casting method encapsulated with polydimethylsiloxane (PDMS) for enhanced durability and biocompatibility. The device is based on the negative temperature coefficient (NTC) charateristics of the fabricated composite polymer, facilitating accurate measurement of temperature alterations. The fabricated sensor demonstrates consistent performance across a physiological temperature range (32°C-40°C), achieving a temperature coefficient of resistance (TCR) of 0.68%°. Measurements show a stable decrease in resistance when the sensor is in touch with human skin, reflecting its sensitivity to skin temperature changes. Experimental results show that the resistance returned to its initial baseline;highlighting the repeatability of the sensor and its reliability for dynamic monitoring. The encapsulation with PDMS further enhances the flexibility of the sensor and protects it against environmental hazards while maintaining its electrical and mechanical performance intact. Compared to existing flexible temperature sensors, this device offers a practical balance of sensitivity, flexibility, and ease of fabrication. Its simple design and scalable fabrication make it suitable for various wearable medical applications, including fever detection, thermal mapping, and integration into advanced health monitoring IoT systems. This study contributes to the advancement of flexible electronics for personalized healthcare solutions. © 2025 ieee.

关键词： Polydimethylsiloxane

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The 6G computing Continuum (6GCC): Meeting the 6G computing challenges 1

The 6G Computing Continuum (6GCC): Meeting the 6G computing ...

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1st international conference on 6G Networking (6GNet)

作者： Tarneberg, William Fitzgerald, Emma Bhuyan, Monowar Townend, Paul Arzen, Karl-Erik Ostberg, Per-Olov Elmroth, Erik Eker, Johan Tufvesson, Fredrik Kihl, Maria Lund Univ Dept Elect & Informat Technol Lund Sweden Lund Univ Dept Automat Control Lund Sweden Umea Univ Dept Comp Sci Umea Sweden

ISBN: (纸本)9781665467636

6G systems, such as Large Intelligent Surfaces, will require distributed, complex, and coordinated decisions throughout a very heterogeneous and cell free infrastructure. This will require a fundamentally redesigned software infrastructure accompanied by massively distributed and heterogeneous computing resources, vastly different from current wireless networks. To address these challenges, in this paper, we propose and motivate the concept of a 6G computing Continuum (6GCC) and two research testbeds, to advance the rate and quality of research. 6G computing Continuum is an end-to-end compute and software platform for realizing large intelligent surfaces and its tenant users and applications. One for addressing the challenges or orchestrating shared computational resources in the wireless domain, implemented on a Large Intelligent Surfaces testbed. Another simulation-based testbed is intended to address scalability and global-scale orchestration challenges.

关键词： 6G Large Intelligent Surfaces computing Continuum distributed Orchestration computing at Scale

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Machine Learning and Deep Learning for Enhanced DDoS Detection in IoT-Based Intrusion Detection System 1

Machine Learning and Deep Learning for Enhanced DDoS Detecti...

引用

1st international conference on Innovative and Intelligent Information Technologies, IC3IT 2024

作者： Kharoubi, Kamir Cherbal, Sarra Akkal, Maroua Ferhat Abbas University Setif 1 Lrsd Lab Faculty of Sciences Setif Algeria

ISBN: (纸本)9798331541064

Securing Internet of Things (IoT) networks is critical due to their increasing prevalence and susceptibility to cyberattacks. Machine Learning (ML) and Deep Learning (DL)powered Intrusion Detection systems (IDS) provide a promising solution to counter these threats. This study focuses on detecting distributed Denial of Service (DDoS) attacks, ensuring IoT device availability and protecting critical services within IoT ecosystems. Five ML and DL models, including XGBoost, were trained and evaluated on the recent CICIoT2023 dataset to classify network traffic as benign or DDoS. Evaluation results show that XGBoost outperformed other models, achieving a 99. 96% accuracy in multi-classifying DDoS attack types with benign traffic and a rapid prediction time of 0.56 microseconds per traffic sample. These results highlight XGBoost's potential for real-time IoT security applications. © 2024 ieee.

关键词： Network intrusion

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distributed Model Predictive Control of Wide-area Multiple Energy storages Considering the Delay Compensation 1

Distributed Model Predictive Control of Wide-area Multiple E...

引用

1st international conference on Cyber-Energy systems and Intelligent Energy, ICCSIE 2022

作者： Lu, Zhiyuan Liu, Shilin Wang, Qing Anhui Polytechnic University School of Electrical Wuhu China School of Electrical Dept. Name of Organization Wuhu China

ISBN: (纸本)9781665452151

To address the impact of communication delay, which occurring the participation of wide-area multiple energy storages in power system frequency regulation, this paper designs a delay compensation distributed model predictive control (DC-DMPC) method. Firstly, according to the frequency response characteristics of the main components in the interconnected power system, the state space model of the frequency response of the connected power system is established. Then, a communication delay compensator is added to distributed model predictive control (DMPC) to compensate for the communication delay. Finally, the simulation of the DCDMPC system is implemented in MATLAB, and the experiment result proves that the proposed method can enhance the system's robustness and effectively compensate for the communication delay. © 2023 ieee.

关键词： Energy storage

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Fault-Tolerant Architectures for distributed Big Data Analytics 1

Fault-Tolerant Architectures for Distributed Big Data Analyt...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Sudhakaran, Sunil Shah, Samarth Mishra, Manas Kumar Natarajan, Vignesh Bhatt, Jay Goel, Om Mahatma Gandhi University Kerala Kottayam India University at Albany AlbanyNY12222 United States G.L. Bajaj Institute of Technology and Management Department of Computer Science and Engineering Greater Noida201306 India Arizona State University AZ United States Northeastem University BostonMA United States ABES Engineering College U.P. Ghaziabad India

ISBN: (纸本)9798331518578

It has created challenges in the processing of data and analysis, which need to go beyond the traditional centralized architecture to solve the current data volume, speed, and types. To address these challenges, fault-tolerant architectures have become one of the keys to meeting the needs of distributed big data analytics. Failure is a normal part of systems;these architectures are meant to accommodate failures of individual components so that the entire system does not need to stop working or, worse, give false results. They make use of several nodes to operate and retain data in a distributed fashion, which supplies excessive scalability and fault tolerance. This means that even if some nodes fail, a fault-tolerant architecture can still provide redundancy by replicating data across many nodes, giving the system redundancy. Fault-tolerant architectures also utilize efficient data processing techniques like partitioning and data parallel processing, to achieve high performance. This allows real-time and near-real-time analysis of streaming data. © 2025 ieee.

关键词： Data Analytics

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Component Model of AC Microgrid for Short-Circuit Analysis 1

Component Model of AC Microgrid for Short-Circuit Analysis

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1st international conference on Innovative Sustainable Technologies for Energy, Mechatronics and Smart systems, IstEMS 2024

作者： Meena, Ghanshyam Singh, Vinay Pratap Sundariyal, Nitin Mathur, Akhilesh Malaviya National Institute of Tech. Department of Electrical Engineering Jaipur India Department of Electrical Engineering Dehradun India

ISBN: (纸本)9798350384246

Microgrids are self-sustaining systems that are small in size. They have become more popular in recent years, especially with the addition of renewable energy sources. Due to the degree of unpredictability this penetration of the renewables brings to the characteristics of microgrid. A thorough understanding of short-circuit issues in these systems is essential. In this study, different components of an AC microgrid (MG) are modelled, and a thorough explanation of short-circuit analysis (SCA) methodologies is included. SCA entails a systematic research of electrical installations to comprehend the characteristics and ramifications of short circuit problems. Micro grid's reactivity is improved and optimised with the aid of short circuit modelling and assessment, which eventually increases the microgrid's capacity to withstand and recover from disruptions. It supports in the development of effective protection measures and the reduction of potential equipment damage by modelling fault scenarios and analysing the implications that occur in microgrid systems. This research also presents the various short-circuit analysis methodologies of MG in tabular format. Modelling of different components of MG including electric vehicle (EV) as load has also been discussed in this paper. © 2024 ieee.

关键词： distributed power generation

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