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Design of UHF-Overvoltage sensor and Measurement Under Superimposed Voltage

Design of UHF-Overvoltage Sensor and Measurement Under Super...

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international conference on Electrical Materials and Power Equipment (ICEMPE)

作者： Haotian Wang Huan Chen Hengchao Huang Yuang Wang Xutao Han Junhao Li State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong University Xi’an China

Abstract-Insulation performance of epoxy surface in GIS systems is influenced by the applied superimposed voltage of AC and overvoltage. the simultaneous measurement of the partial discharges (PDs) and applied voltage can help to evaluate the condition of GIS equipment more accurately. A novel composite sensor for PD UHF signals and overvoltage measurement is proposed to realize the simultaneous detection. the effective height of the composite sensor is calculated with FDTD model and the preliminary optimization is carried based on it. the effectiveness of the composite sensor is tested on an epoxy surface discharge model under of AC voltage, lightning impulse and superimposed voltage. Experiment results show that the extra PDs are excited by the superimposed LI and the proposed sensor is capable to detect the voltage waveform and PD signals under the superimposed condition.

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AI4Gov: Trusted AI for Transparent Public Governance Fostering Democratic Values 19

AI4Gov: Trusted AI for Transparent Public Governance Fosteri...

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

作者： Manias, George Apostolopoulos, Dimitris Athanassopoulos, Sotiris Borotis, Spiros Chatzimallis, Charalampos Chatzipantelis, theodoros Compagnucci, Marcelo Corrales Draksler, Tanja Zdolsek Fournier, Fabiana Goralczyk, Magdalena Gucek, Alenka Karabetian, Andreas Kefala, Stavroula Moumtzi, Vasiliki Kotios, Dimitris Kovacic, Matei Kyrkou, Danai Limonad, Lior Magopoulou, Sofia Mavrogiorgos, Konstantinos Nechifor, Septimiu Ntalaperas, Dimitris Panagiotidou, Georgia Papadopoulou, Martha Papageorgiou, Xanthi S. Papageorgopoulos, Nikos Pavlovic, Dusan Politi, Elena Stroumpou, Vicky Vontas, Apostolos Kyriazis, Dimosthenis University of Piraeus Piraeus Greece Municipality of Vari Vouliagmeni Voula Greece Maggioli S.p.A. Santarcangelo di Romagna Italy Vilabs Limited Limassol Cyprus Aristotle University of Thessaloniki Thessaloniki Greece White Label Consultancy ApS Copenhagen Denmark Jožef Stefan Institute Ljubljana Slovenia Ibm Israel Science and Technology Ltd Haifa Israel Greek Ministry of Tourism Athens Greece Siemens S.R.L. Bucharest Romania Ubitech Limited Limassol Cyprus

ISBN: (纸本)9798350346497

As Artificial Intelligence (AI) becomes more integrated into public governance, concerns about its transparency and accountability have become increasingly important. the use of AI in decision-making processes raises questions about bias, fairness, and the protection of individual fundamental rights. To ensure that AI is used in a way that upholds democratic values, it is essential to develop systems that are trustworthy, transparent, and accountable. Trusted AI allows citizens to have greater trust in public organizations and their decision-making processes, while it also enables public authorities and policy makers to be more transparent and accountable, providing citizens with greater visibility into how policies are developed. In addition, it encourages the use of AI in a way that promotes fairness and equity, ensuring that decision-making processes are unbiased and discrimination free against certain groups of individuals. this paper investigates how these desirable attributes can be developed in ways that are feasible and effective through the design of a holistic environment that incorporates AI and Big Data management mechanisms while preserving that the AI technology should be shaped around human rights, values, and societal needs. Societal change and evidence-based policies will be achieved through the extension of business and policy making processes with advanced approaches, such as eXplainable AI (XAI) and Situation-Aware Explainability (SAX). To this end, a novel approach is proposed, which will converge techniques and research on multiple domains, including social sciences, Trustworthy AI, Ethical AI, Big Data analytics, IoT, and blockchain into a unified ecosystem. © 2023 ieee.

关键词： Decision making

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Enhancement of Routing Flexibility by a Novel distributed Approach for WSN

Enhancement of Routing Flexibility by a Novel Distributed Ap...

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India Council international Subsections conference (INDISCON), ieee

作者： Ahtshamuddin Ansari Bhargavi Deshpande College of Law IIMT University Meerut Uttar Pradesh India ISDI - School of Design & Innovation ATLAS Skill Tech University Mumbai Maharashtra India

Wireless sensor networks (WSNs) have been widely used in many applications such as environment monitoring and surveillance. Routing flexibility is one of the important issues to improve the performance of WSNs. In this paper, we propose a novel distributed approach to improve routing flexibility in WSNs. the proposed approach utilizes a graph-based mechanism to transmit the data packets over reliable and energy efficient paths. this approach dynamically adjusts the routing paths according to the changes in traffic patterns and environmental conditions. Moreover, we design an adaptive weight-based routing algorithm that can further increase routing flexibility. the proposed approach also provides an energy-aware mechanism and an efficient communication channel selection protocol to save the energy consumption of the network. the proposed mechanism has been simulated and evaluated through ns-2. the experimental results show that the proposed approach can significantly improve routing flexibility and reduce the energy consumption of the WSNs.

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Higher Reconstruction Performance with Dual Deep Neural Networks for Wireless sensor Networks Compressed Temporal Signals

Higher Reconstruction Performance with Dual Deep Neural Netw...

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ieee international Workshop on Intelligent Data Acquisition and Advanced computing systems: Technology and Applications

作者： Sébastien Rousseau Romain Négrier Fabien Courreges Frank Itoua Engoti Raymond Quéré XLIM Institute University of Limoges Brive-la-Gaillarde France NAIoBEE company Brive-la-Gaillarde France

In many applications using wireless sensor networks, the reliability of monitored data is crucial to analyze situations and take decisions. Compressed sensing methods are effective to ensure durability of a wireless sensor network installation and to overcome communication failures by drastically lowering the amount of data to transmit. the method proposed in this paper aims to perform an abstraction of the signals sparsity model required by compressed sensing in order to use a deep learning-based approach. this method is designed to be effective for all kinds of transient or temporally dynamic signals sufficiently regular to be predictable, that is to say signals that can be implicitly modelled by a sparse representation. through the collaboration of two recurrent neural networks and signal processing algorithms, our temporal method outperforms, in terms of accuracy, state-of-art methods, including distributed compressed sensing, time series imputation and forecasting deep learning methods. thus, high compression rates up to 95% can be reached while leading to an error of less than 0.5°C in reconstructing temperature signals.

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Fault Characteristics Analysis of Grid-Connected Ship Power System with distributed Photovoltaic Power Supply

Fault Characteristics Analysis of Grid-Connected Ship Power ...

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Data Science and Computer Application (ICDSCA), ieee international conference on

作者： Guoqiang Zhou Litao Dou Shihao Wang China Classification Society Wuhan Rules & Research Institute Wuhan China School of Energy and Power Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9798350368239

ISBN: (纸本)9798350368246

the access of distributed photovoltaic with high permeability will lead to significant changes in the fault characteristics of distribution network. this paper takes the grid-connected power system of distributed photovoltaic power supply on a demonstration ship as the research object, and analyzes the fault characteristics of distributed photovoltaic access and short circuit current. the change of fault characteristics and short-circuit current in different segments before and after the failure of PV power supply when it is connected to 440V bus and 230V bus are studied.

关键词： Photovoltaic systems Low voltage Power supplies Short-circuit currents Distribution networks Voltage Data science Permeability Circuit faults Marine vehicles

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Quantum Long Sort-Term Memory-based Identification of distributed Denial of Service Attacks

Quantum Long Sort-Term Memory-based Identification of Distri...

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AI in Cybersecurity (ICAIC), international conference on

作者： Sarvapriya Tripathi Himanshu Upadhyay Jayesh Soni Electrical and Computer Engineering Florida International University Miami USA

ISBN: (数字)9798331518882

ISBN: (纸本)9798331518899

distributed Denial of Service (DDoS) is defined as an attack targeting a server, where the server is overwhelmed by an overflow of traffic, leading to a computer system being compromised. To prevent these attacks from happening, thus allowing the computer systems to maintain their normal behavior, a long short-term memory (LSTM) Time-Series model can recognize sequential characteristics in the data in order to predict whether a DDoS attack is occurring. Our approach leverages various aspects of network traffic such as Flow ID, Source IP, Destination IP, and Destination Port, and analyzes the accuracy and reliability using LSTMs to improve DDoS attack prediction accuracy. In this study we analyzed the relative efficiency of Quantum LSTM (QLSTM) over that of Classical LSTM, and found that both Quantum and Classical LSTM models train quickly and within a few epochs the accuracy increases to 0.99 and above. the validation of the models proved that QLSTM achieved better Recall, Accuracy, Precision, and F1 scores as compared to classical LSTM, making it an ideal candidate for DDoS attack predictions. this study proves the potential of applying deep learning techniques to strengthen network security, which has become increasingly important with the rise of complex cybersecurity threats.

关键词： Accuracy Quantum computing Telecommunication traffic Predictive models Denial-of-service attack Servers IP networks Reliability Computer crime Long short term memory

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Simplified three-phase Current Reconstruction Using Single sensor Applying Active Zero State SVPWM for Cost effective PMSM Drive System 4

Simplified Three-phase Current Reconstruction Using Single S...

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4th ieee international conference on computing, Power and Communication Technologies, GUCON 2021

作者： Omara, Ahmed M. Khudair, Ahmed Hussien, Mohamed G. Islam, Md. Rabiul Tanta University Faculty of Engineering Dept. of Electrical Power and Machines Tanta Egypt School of Electrical Computer and Telecommunications Engineering University of Wollongong Australia

ISBN: (纸本)9781728199511

For cost-effective applications, low number of current sensors are preferable to decrease the expense and size of the electric drive system of permanent magnet synchronous machine (PMSM). the renovation of the three-phase currents depends on sensing only the dc link current. However, it is not feasible to recreate the three-phase currents continuously by applying conventional space-vector pulse width modulation (SVPWM) technique depending on space vector position. Although, two space vectors are applied to construct the reference voltage vector in any sector, sometimes the application time of any of the two voltage vectors is not sufficient to determine the dc bus current. this paper proposes a usage of active zero-states SVPWM (AZSVPWM) technique to expand the implementation time of the shortest voltage vector. Several simulation results are introduced to validate the efficiency of the suggested solution. © 2021 ieee.

关键词： Cost effectiveness

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11th EAI international conference on Cloud computing, CloudComp 2021

11th EAI International Conference on Cloud Computing, CloudC...

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11th EAI international conference on Cloud computing, CloudComp 2021

ISBN: (纸本)9783030991906

the proceedings contain 17 papers. the special focus in this conference is on Cloud computing. the topics include: Design of an Evaluation System of Limb Motor Function Using Inertial sensor;Towards a GPU-Accelerated Open Source VDI for OpenStack;trustworthy IoT computing Environment Based on Layered Blockchain Consensus Framework;heuristic Network Security Risk Assessment Based on Attack Graph;research on Network Security Automation and Orchestration Oriented to Electric Power Monitoring System;Energy- and Reliability-Aware Computation Offloading with Security Constraints in MEC-Enabled Smart Cities;a Review of Cross-Blockchain Solutions;a Survey of Traffic Prediction Based on Deep Neural Network: Data, Methods and Challenges;a Dynamic Gesture Recognition Control File Method Based on Deep Learning;A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a distributed Environment;triangle Coordinate Diagram Localization for Academic Literature Based on Line Segment Detection in Cloud computing;optimizing Fund Allocation for Game-Based Verifiable Computation Outsourcing;a Survey of Face Image Inpainting Based on Deep Learning;layered Service Model Architecture for Cloud computing;KPG4Rec: Knowledge Property-Aware Graph for Recommender systems.

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Application of a Bluetooth Low Power Communication Network in an Energy Management Platform

Application of a Bluetooth Low Power Communication Network i...

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Electronic Communications, Internet of things and Big Data (ICEIB), international conference on

作者： Chen-Yu Lin Chun-Wei Chen Jung-Hsing Wang Hao-Kai Tu National Applied Research Laboratories (NARLabs) Taiwan Instrument Research Institute Hsinchu Taiwan Department of Industrial Engineering and Engineering Management National Tsing Hua University Hshinchu Taiwan

ISBN: (数字)9798350360721

ISBN: (纸本)9798350360738

Smart manufacturing demands industrial Internet of things (loT) that encompasses components such as sensors, industrial control systems, programmable logic controllers, gateways, wireless devices, machine series connection modules, and edge computing hosts. However, these components often use different communication protocols, and collecting, transmitting, and integrating device source data. In this study, data regarding a coating process were collected and transmitted to a data server in real-time over Bluetooth for presentation and storage. the data were then processed and analyzed to optimize production. Specifically, a supervisory control and data acquisition (SCADA) system based on Bluetooth low energy (BLE) modules was developed. the system comprised a self-developed BLE gateway that interfaced wirelessly with multiple self-developed Bluetooth devices for collecting equipment and sensor data. these devices used the Modbus TCP or RTU protocols to collect sensor data, and converted and transmitted the data to the data server. Subsequently, the data were displayed, stored, and analyzed by the graphical control system, improving manufacturing efficiency.

关键词： Wireless communication Wireless sensor networks Bluetooth Protocols SCADA systems Interference Logic gates

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Minimum Utilization of Energy Resource via MAC Routing Protocol for Mobile sensor Network

Minimum Utilization of Energy Resource via MAC Routing Proto...

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India Council international Subsections conference (INDISCON), ieee

作者： Alka Singh Meena Desai College of Education IIMT University Meerut Uttar Pradesh India ISME - School of Management & Entrepreneurship ATLAS Skill Tech University Mumbai Maharashtra India

the MAC routing protocol for mobile sensor networks is a method of communication that enables the data transfer between sensors over an established network. this protocol is designed to provide reliable, fast and efficient data delivery between nodes within a mobile sensor network. It differs from the traditional routing protocol in that it takes into consideration the mobility of the nodes and changes the routes dynamically to meet the dynamic requirements of the network. the main features of MAC for mobile sensor networks include route discovery and maintenance, dynamic path selection and dynamic quality of service. It also ensures reliability by providing multiple paths for data transmission and path diversity for redundant data transfer. Additionally, it provides fault tolerance and security via neighbor discovery and authentication. the protocol is also suited to heterogeneous networks due to the support for different types of communication technologies such as 802.11, ZigBee, etc. Furthermore, the MAC routing protocol provides multiple solutions such as deferred ordering, probabilistic forwarding and distributed routing. the MAC routing protocol, therefore, provides an effective way to connect sensors in mobile sensor networks.

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