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共 6248 条记录，以下是281-290 订阅

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A Novel Droop Control for Enhanced Performance of Grid-Forming distributed Energy Resources 4

A Novel Droop Control for Enhanced Performance of Grid-Formi...

引用

4th international conference on Smart Grid and Renewable Energy, SGRE 2024

作者： Harasis, Salman Khan, Irfan Massoud, Ahmad Qatar University Dept. of Electrical Engineering Doha Qatar Texas A&M University at Galveston Clean and Resilient Energy Systems Lab GalvestonTX United States

ISBN: (纸本)9798350306262

the growing demand for reliable distributed generation (DG) systems promoted multiple advancements in grid-forming (GFM) control strategies applied to distributed energy resources (DERs). this paper proposes a novel 'logistic function-based droop control', designed to improve the performance of GFM DERs. By utilizing the distinctive features of the logistic function that include an S-shaped curve, flexibility, and gradual ramp-down, the proposed control is designed to enable the flexible and reliable operation of DERs integrated into a microgrid. this control utilizes the inherent benefits of logistic functions to address the challenges associated with conventional droop control with minimal control complexity, particularly, during transient conditions and sudden load changes. through comprehensive analysis and simulations, the efficacy of the proposed 'Logistic function-based droop control' is demonstrated in comparison to the traditional droop control. the results show the effectiveness of the proposed droop in substantially enhancing the operation of GFM DERs. © 2024 ieee.

关键词： Electric loads

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Decentralized Ledger Technologies: Exploring the Landscape and Diverse Applications of Blockchain 4

Decentralized Ledger Technologies: Exploring the Landscape a...

引用

4th international conference on Computer, Communication, Control and Information Technology, C3IT 2024

作者： Sharma, Nandini Khenwar, Medha Agrawal, Shobit Sonika G.L Bajaj Group of Institutions Dept. of Computer Science & Engineering Mathura India

ISBN: (纸本)9798350389128

the purpose of this paper is to explore and illuminate the diverse applications of blockchain technology across various sectors, including banking, crowdsourcing, finance and insurance, healthcare, copyright management, e-government, the public sector, distribution systems, logistics and supply chain management, and education. By examining its uses, advantages, and disadvantages, this paper aims to provide a comprehensive overview of how blockchain is revolutionizing these fields. Known for its unparalleled integrity and security, blockchain offers a reliable and secure framework that operates without the need for third parties. this paper not only aims to enhance the understanding of blockchain's current applications but also to identify emerging trends and potential new uses, providing valuable insights for future researchers. © 2024 ieee.

关键词： distributed ledger

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Dynamic Reconstruction of Distribution Networks with distributed Photovoltaics Based on Weather Classification 4

Dynamic Reconstruction of Distribution Networks with Distrib...

引用

4th international conference on Advanced Electrical and Energy systems, AEES 2023

作者： Chen, Long Tang, Danhong Gu, Huichun Dong, Hui Chen, Geng Sun, Gaiping State Grid Jinshan Power Supply Company Operation Mode Management of Dispatch Control Center Shanghai China Shanghai University of Electric Power College of Electric Power Engineering Shanghai China

ISBN: (纸本)9798350342659

A weather-based reconstruction method for distribution networks with distributed photovoltaics is proposed. Firstly, the historical output data of the photovoltaic power station is divided into typical weather scenarios such as sunny, cloudy, overcast, and rainy using the K-means clustering method. Subsequently, a non-parametric kernel density estimation method is applied to estimate the photovoltaic output for each weather type. Finally, the distribution network reconfiguration model for the ieee 33-node distribution network case study is solved using the particle swarm algorithm, and optimal reconfiguration solutions for different weather types are obtained. © 2023 ieee.

关键词： Electric power distribution

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Empirically Investigating the Impact of Antenna Polarization and Modulation Parameters on Subsoil Communication Range in LoRa Networks 19

Empirically Investigating the Impact of Antenna Polarization...

引用

19th Annual international conference on distributed computing in Smart systems and the Internet of things, DCOSS-IoT 2023

作者： Nguyen, Nhan D.T. Le, Duc V. Havinga, Paul J.M. University of Twente Pervasive Group Enschede Netherlands

ISBN: (纸本)9798350346497

the Long Range (LoRa) network has been widely acknowledged for its efficiency and reliability in terrestrial sensing applications. However, building a robust LoRa network in the subsoil environment, which presents challenges for radio communication, remains challenging. this study evaluates the impact of antenna polarization and LoRa modulation parameters, such as bandwidth and spreading factor, on subsoil communication ranges. Based on the results of our experiments, we propose practical LoRa network configurations for the seamless transmission of subsoil sensory data to the surface. © 2023 ieee.

关键词： sensor networks

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I4AS-Cloud : Identification, Authentication and Authorization As A Service Cloud computing 19

I4AS-Cloud : Identification, Authentication and Authorizatio...

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19th ieee international Wireless Communications and Mobile computing (ieee IWCMC)

作者： Bouchaala, Mariem Boussada, Rihab Saidane, Leila Azouz Univ Manouba CRISTAL Lab ENSI Manouba Tunisia Sesame Univ Ariana Tunisia

ISBN: (纸本)9798350333398

the data storage service offered by cloud service providers is one of the most important markets today. For this reason, cloud computing has become indispensable for all information systems in the new era. However, there are several security risks associated with virtual data storage. Unauthorised access to data remains one of the most significant security risks. Reliable identification, robust authentication and fine-grained access for each client and service are the cornerstones of data security. this paper presents the importance of these models in data security. It also focuses on the proposal of an identification, authentication and access control (I4AS-cloud) module. It presents and discusses a taxonomy of authentication methods and access control models.

关键词： Cloud computing identification access control authentication data security

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Fast distributed Stochastic Gradient Descent for Big Data Classification 23

Fast Distributed Stochastic Gradient Descent for Big Data Cl...

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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： Xiao, Mingfei Wang, Huihui School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)9781665494571

Large-scale classification is an important task of machine learning, especially in the smart city field, which is a big data environment. In recent years, single-threaded optimization algorithms can no longer meet the needs of big data applications. When a single machine is trained, it will face the problem of insufficient memory and limited computing capacity. therefore, distributed algorithms have been proposed to solve big data classification, and have received much attention. Particularly, distributed gradient descent (GD) is a widely-used algorithm for solving big data problem. However, distributed algorithms based on GD always converge slowly and suffer from expensive time in the training process. To alleviate this problem, we propose a novel fast distributed stochastic gradient descent algorithm for big data classification in this paper. By formulating the original optimization problem as a series of subproblems for classification in each machine. In particular, we exploit a fast stochastic method combined with the Nesterov acceleration method for sub-problem optimization in parallel to improve the convergence speed, and thus reduce the training time. the experimental results on some public and benchmark data sets show that our proposed distributed algorithm can converge faster with the competitive accuracy performance compared with distributed GD-based methods, which is suitable to big data classification. © 2021 ieee.

关键词： Training Machine learning algorithms Smart cities Big Data Benchmark testing Classification algorithms distributed algorithms

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Automatic Anomaly Detection Using Unlabelled Log Data 25

Automatic Anomaly Detection Using Unlabelled Log Data

引用

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： Zhu, Yujia Min, Geyong Wu, Yulei Wang, Haozhe University of Exeter Falcuty of Environment Science and Economy Department of Computer Science ExeterEX4 4QF United Kingdom

ISBN: (纸本)9798350330014

In this paper, we embark on a meticulous investigation of anomaly detection within OpenStack system logs, employing a two-pronged approach that ingeniously combines a task splitting method for log grouping with a two-layer stacked Long Short-Term Memory (LSTM) network for the anomaly detection phase. Our exploration commences with the extraction of typical normal operation patterns from system logs, followed by the application of our LSTM-based anomaly detection model trained on these normal patterns. Our study reveals the remarkable potential of this combined methodology in effectively distinguishing between normal and abnormal tasks, thereby offering profound insights into system operation and potential areas of concern. this exploration stands as a proof to the immense potential of modern machine learning techniques in navigating the ever-increasing complexity and volume of log data. © 2023 ieee.

关键词： Anomaly detection

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4D MIMO Radar with 360° field of view: a practical validation 19

4D MIMO Radar with 360° field of view: a practical validati...

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19th ieee international Wireless Communications and Mobile computing (ieee IWCMC)

作者： Viegas, Samuel Reis, Joao R. Fernandes, Telmo R. Caldeirinha, Rafael F. S. Polytech Leiria Leiria Portugal Inst Telecomunicacoes Leiria Portugal

ISBN: (纸本)9798350333398

In this paper, a 4D MIMO radar with 360. field of view is presented. After a brief description of the proposed architecture, using three millimeter wave 4D radio detection and ranging (Radar) sensors (Texas Instruments AWR1843), disposed in a equilateral triangular prism shape, this paper presents the first results on the implementation of a real-time and high resolution radar sensor with 360. of field of view. Experimental results obtained in a controlled environment, i.e. inside an anechoic chamber, are presented to validated the proposed concept. Successful target detection is achieved by multi-point point-cloud. the proposed radar architecture may be seen as an opportunity to augment and improve Advanced Driver Assistance systems (ADAS) and Autonomous Driving systems (ADS).

关键词： 4D ADAS ADS automotive field-of-view mapping radar.

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Comparison of Sparkfun TRIAD AS7265x spectroscopy sensor device with a Spectrophotometer for qualitative and quantitative analysis 4

Comparison of Sparkfun TRIAD AS7265x spectroscopy sensor dev...

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4th international conference on computing and Communication systems, I3CS 2023

作者： Daurai, Bethuel Ramchiary, Shrimanta Sundar Gogoi, Manashjit North-Eastern Hill University Department of Biomedical Engineering Shillong India

ISBN: (纸本)9798350323771

Sparkfun AS7265x is a reflectance spectroscopy sensor with a wide range of wavelengths falling in UV, Visible and IR ranges. Using this sensor, a small device was developed by assembling it with Arduino Uno to make a portable spectroscopic device. A casing was designed to encase a quartz cuvette for holding the sample. the sensor module was also put in the same case. A 16 × 2$ LCD display was integrated with the system to display the output. the reading was also observed through serial communication in the computer. the sensor could give a reading from 410 nm to 940 nm in a matter of seconds. In this range, qualitative and quantitative analysis was made. the device was then compared with a commercial UV vis spectrophotometer (Inkarp Sican 2301) with the same quantitative and qualitative test for the spectrophotometric analysis of KMnO4 solution. the Triad sensor has a lower resolution as compared to that of a spectrophotometer. It could only detect with an interval of 25 nm to 50 nm. the comparison showed that the device developed can be used for specific tests. In the quantification test of KMnO4, an R2 value of 0.9907 was achieved. this experimental design showed that applications could be extended to Point-of-Care devices for application in healthcare where spectrophotometric analysis is necessary with the combinations of reagents. It can also be combined with biosensors for accurate readout of diseases. © 2023 ieee.

关键词： Spectrophotometers

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AI Powered COVID-19 Detection System using Non -Contact Sensing Technology and Deep Learning Techniques 18

AI Powered COVID-19 Detection System using Non -Contact Sens...

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18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Kogilavani, S., V Sathishkumar, V. E. Subramanian, Malliga Kongu Engn Coll Dept Comp Sci & Engn Erode Tamil Nadu India Hanyang Univ Dept Ind Engn 222 Wangsimini Ro Seoul 04763 South Korea

ISBN: (纸本)9781665495127

the SARS-CoV-2 virus causes coronary artery disease (COVID-19). the majority of persons who are infected with the virus will have mild to severe respiratory illness and recover without the need for therapy. Some, on the other hand, will become critically unwell and require medical assistance. People over the age of 65, as well as those with underlying medical diseases such as cardiovascular disease, diabetes, chronic respiratory disease, or cancer, are at a higher risk of developing serious illness. Being thoroughly informed on the disease and how it spreads is the best strategy to avoid and slow down transmission. Stay at least 1 metre apart from other people to avoid infection. In this research work, we focus on how non-contact sensing technology and deep learning technique are being used to detect COVID-19 and assist healthcare workers in caring for COVID-19 patients. the proposed system captures images from the patient using non -contact sensing technologies and feeds the data into deep learning convolutional neural network architectures such as VGG16, VGG19, ResNet101, NASNet, DenseNet121, MobileNet, Xception, EfficientNet, and InceptionV3. In comparison to other architectures, the VGG16 architecture delivers superior accuracy.

关键词： Non-Contact sensor Deep Learning COVID-19 Health Care Respiratory System VGG16

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