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IoT-Enabled real-time Management of Smart Grids With Demand Response Aggregators

ieee TRANSACTIONS ON INDUSTRY applications 2022年第1期58卷 102-112页

作者： Estebsari, Abouzar Mazzarino, Pietro Rando Bottaccioli, Lorenzo Patti, Edoardo London South Bank Univ London SE1 0AA England Politecn Torino I-10129 Turin Italy

Integration of widely distributed small-scale renewable energy sources like rooftop photovoltaic panels and emerging loads like plug-in electric vehicles would cause more volatility in total net demand of distribution networks. Utility-owned storage units and control devices like tap changers and capacitors may not be sufficient to manage the system in real-time. Exploitation of available flexibility in demand side through aggregators is a new measure that distribution system operators are interested in. In this article, we present a developed real-time management schema based on Internet of things solutions which facilitate interactions between system operators and aggregators for ancillary services like power balance at primary substation or voltage regulation at secondary substations. Two algorithms for power balance and voltage regulation are developed based on modified optimal power flow and voltage sensitivity matrix, respectively. To demonstrate the applicability of the schema, we set-up a real-time simulation-based test bed and realized the performance of this approach in a real-like environment using real data of a network with residential buildings.

关键词： real-time systems Smart grids Substations Renewable energy sources Costs Voltage control Demand response Aggregator demand response Internet of things (IoT) power flow real-time simulation

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Abnormal Behaviour Detection of Self-Adaptive Agents in Traffic Environments 4

Abnormal Behaviour Detection of Self-Adaptive Agents in Traf...

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4th ieee international conference on Automatic computing and Self-Organizing systems Companion, ACSOS-C 2023

作者： Goller, Martin Thomsen, Ingo Al-Falouji, Ghassan Tomforde, Sven Christian-Albrechts-Universität zu Kiel Intelligent Systems Germany

ISBN: (纸本)9798350337464

Open collectives consisting of self-adaptive and semi-autonomous systems are typically difficult to control, especially if a self-improving integration behaviour is to be achieved at runtime. Therefore, a variety of metrics for external observation have been presented for this context, which can also be applied to a system-wide monitoring and behaviour assessment of semi-autonomous systems. However, this lacks an analysis of the behaviour in real systems. In this paper, we investigate to what extent metrics for the external observation of self-adaptive and self-organising properties of such systems can be used in real applications. We do this by analysing the behaviour of two examples from different traffic systems and thus detecting abnormal behaviour at runtime, which in turn should serve as a basis for subsequent reintegration decisions. © 2023 ieee.

关键词： Anomaly detection

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A Brief Review on Artificial Neural Network: Network Structures and applications 9

A Brief Review on Artificial Neural Network: Network Structu...

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9th international conference on Advanced computing and Communication systems, ICACCS 2023

作者： Saha, Nilanjan Swetapadma, Aleena Mondal, Mahadev Deemed to Be University School of Computer Engineering Kalinga Institute of Industrial Technology Bhubaneshwar India

ISBN: (纸本)9798350397376

A quick overview of artificial neural networks (ANN) and its real-life applications are provided in this publication. Different type of Neural Networks and their structures are also been discussed here. Neurons in neural networks are interconnected with other neurons to mimic how the intricate human brain functions. Artificial intelligence benefits from this because neural networks can develop over time without human intervention once they are given a set of rules or guidelines, whereas AI can start from scratch, create its algorithm, and learn the rule with the aid of machine learning techniques based on the rules. AI does not require the baseline since it can learn from observations, whereas neural networks learn through human feedback from the initial baselines. © 2023 ieee.

关键词： Backpropagation

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High-Performance computing for Accurate Weather Forecast: Leveraging Advanced Algorithms and HPC systems for Improved Predictions 3

High-Performance Computing for Accurate Weather Forecast: Le...

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3rd international conference for Advancement in Technology, ICONAT 2024

作者： Mariappan, Umasree Balakrishnan, D. Karunya, T.Blessing Ponraj, Anitha Abhishekh, P. Devi, R. Karishma P.S.R. Engineering College Department of Information Technology Tamil Nadu Sivakasi626140 India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamil Nadu Krishnankoil626126 India Kalasalingam Academy of Research and Education Department of Information Technology Tamil Nadu Krishnankoil626126 India Academy of Research and Education Department of Electronics and Communication Engineering Kalasalingam Tamil Nadu Krishnankoil626126 India

ISBN: (纸本)9798350354171

High-performance computing (HPC) has revolutionized the field of weather forecasting by enabling the use of advanced algorithms and powerful computing systems to predict weather patterns with greater accuracy. Weather sensors and satellites collect vast amounts of data on temperature, pressure, humidity, wind speed, and precipitation, which are then processed and analyzed in near real-time to generate accurate forecasts. This article highlights the role of HPC in improving weather forecasting by leveraging Scalable Probabilistic Approximation (SPA) and HPC systems. Weather modelling is used to improve our understanding of how processes work in land, oceans, and the atmosphere. It also helps predict weather between days and seasons, as well as weather projection for the future. By leveraging these technologies and techniques, HPC is revolutionizing weather pattern prediction, enabling more accurate and timely forecasts that can help protect lives and livelihoods. High-performance computing and advanced algorithms are crucial for improving the accuracy of weather forecasting. By leveraging these technologies, researchers can better predict weather patterns, which has significant implications for various industries and applications. © 2024 ieee.

关键词： Wind forecasting

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A Dynamic Trust Chain Measurement Method Based on Mixed Granularity of Call Sequence 8

A Dynamic Trust Chain Measurement Method Based on Mixed Gran...

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8th international conference on Signal and Image Processing, ICSIP 2023

作者： Zhang, Chen Xu, Chao Cheng, Wei Hua Xia, Yi Liu, Yu State Grid Jiangsu Electric Power Co. Ltd Yangzhou Power Supply Branch Yangzhou China Jiangsu Electric Power Information Technology Co. Ltd Nanjing China

ISBN: (纸本)9798350397932

Trusted computing technology aims to protect the computer or embedded system from tampering. Based on the idea of trust chain establishment, it establishes a trust chain for the whole process from the embedded system power-on to the application running in the operating system. However, the trust chain uses the static measurement scheme before starting each component, so the system state information recorded by the trust chain can only reflect the state of the program in the system when it is started, but not the state at run time. In view of the above problems, by analyzing the credibility theorem of process operation defined in the non-interference model, a dynamic measurement model design idea using the synchronous comparison between the hypothetical system and the real system is proposed. Based on this design idea, this paper analyzes the running model of the program through the application call sequence, and improves the model from the perspective of measurement granularity to improve the running efficiency of measurement. Based on this, a dynamic integrity measurement method that can measure the program dynamically in real time is proposed. Experiment results demonstrate that the abnormal state of the process can be well detected by the proposed method at a small cost. © 2023 ieee.

关键词： embedded systems

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Haptic Interface Design for a Novel Wheelchair Simulator using Linear time-Varying MPC Framework

Haptic Interface Design for a Novel Wheelchair Simulator usi...

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ieee/ASME international conference on Advanced Intelligent Mechatronics (AIM)

作者： Ait-Ghezala, A. Sentouh, C. Bentaleb, T. Pudlo, P. Poulain, T. Conreur, G.

ISBN: (纸本)9781665476331

This paper deals with the design of a new haptic interface to drive a wheelchair locomotion simulator in real-time. The proposed haptic interface considers a reference model of a manual wheelchair (MWC) with a coupled straight line, turn and slope/cross-slope dynamics. This model allows both to reproduce the wheel-ground contact resistances in real-time and to estimate the kinematic motion states of the wheelchair. Then the theoretical concept of the model predictive control (MPC) scheme for linear time-varying (LTV) systems is exploited for the design of the haptic controller in order to handle the reference tracking problem. This controller is based on an LTV model of the MWC system coupled with the ergometer rollers of the simulator using an online identification of its dynamics. This formulation allows us to deal with nonlinearities and variations of the contact friction between the MWC wheels and the simulator rollers. The stability of the simulator haptic interface is demonstrated using the Lyapunov stability tools. Finally, the performance and effectiveness of the proposed haptic interface are evaluated by experimental tests on the PSCHITT-PMR simulator platform using standardized locomotion scenarios.

关键词： Wheelchair Simulator haptic interface realtime applications model predictive control (MPC) linear timevarying (LTV) systems people with motor disabilities

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Field Coupling to Transmission Lines Terminated by Buck and Negative Impedance Circuits 25

Field Coupling to Transmission Lines Terminated by Buck and ...

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25th international conference on Electromagnetics in Advanced applications, ICEAA 2024

作者： Gardner, Robert L. Marietta GA United States

ISBN: (纸本)9798350360974

The electromagnetics community has paid a great deal of attention to field coupling to transmission lines. The transmission line models may be complex, but these models usually have linear terminations. Simulating the coupling of fields into real systems requires the application of active and nonlinear terminations. We will use an object - oriented, cyber - physical technique based on the Modelica language to improve run time and to better integrate the coupling to transmission - line networks into system simulations. The RF effects simulation methods are appropriate to all types of electromagnetic coupling including electronic warfare, electromagnetic compatibility/interference and lightning. © 2024 ieee.

关键词： Intelligent systems

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Vehicle Trajectory-Based Intersection Classification Using Deep Transfer Learning 5

Vehicle Trajectory-Based Intersection Classification Using D...

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5th international conference on Intelligent computing, Communication, Networking and Services, ICCNS 2024

作者： Kased, Abanoub Rabee, Rana Fahmy, Akram Mohamed, Hussein Yacoub, Marco Elhenawy, Mohammed Ashqar, Huthaifa I. Alsobeh, Anas Masoud, Mahmoud Hassan, Abdallah A. Minia University Faculty of Engineering Computers and Systems Department Minia Egypt Australia Arab American University Civil Engineering Department Jenin Palestine School of Computing Southern Illinois University Carbondale CarbondaleIL United States Center for Smart Mobility and Logistics King Fahd University of Petroleum and Minerals Department of Information Systems and Operations Management Dhahran Saudi Arabia

ISBN: (纸本)9798350354690

This document is a model and instructions for M-TEX. The accelerated expansion of global road networks necessitates the availability of accurate and up-to-date cartographic data for connected and automated vehicles. Conventional mapping techniques, such as satellite imagery and field surveys, are inher-ently time-consuming and labor-intensive. This study proposes a novel approach that makes use of the ubiquity of GPS-embedded devices to facilitate the efficient updating of road maps. We present a classifier that identifies the types of intersections from vehicle trajectories, which represents a crucial initial step in the generation of automated maps. The methodology employs five distinct convolutional deep neural network architectures for the detection and classification of road intersection types. The experimental results, which were obtained using three real-world vehicle trajectory datasets, demonstrate classification accuracy levels that range from 84 % to 91 %. It is noteworthy that these results were achieved using less than 10% of the data that is typically required for comparable accuracy levels, which highlights the efficiency of the feature extraction approach that was employed. This research contributes to the advancement of intelligent transportation systems by offering a more efficient and scalable method for road network mapping and updating. © 2024 ieee.

关键词： Convolutional neural networks

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ACiS: Lightweight and Robust Homomorphic Block Cipher Additive Scheme 18

ACiS: Lightweight and Robust Homomorphic Block Cipher Additi...

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18th ieee international Wireless Communications and Mobile computing conference (IWCMC)

作者： Hariss, Khalil Noura, Hassan St Joseph Univ ESIB CIMTI Mar Roukoz Lebanon UBFC FEMTO ST Inst Besancon France

ISBN: (纸本)9781665467490

Recent IoT emerging systems and applications require processing over encrypted data to preserve confidentiality. However, designing efficient Homomorphic Encryption (HE) algorithm to respond better to real-time requirements of IoT applications and tiny IoT devices is primordial. Unfortunately, existing homomorphic asymmetric schemes do not provide the efficiency implementation. While, on the other hand, homomorphic symmetric approaches suffer from a low level of security. In this paper, an efficient flexible additive homomorphic symmetric cipher scheme is proposed and it is called "ACiS". Moreover, ACiS is based on the dynamic key approach to reach a high level of security, where different cryptographic primitives are used for different sessions. In addition, it can achieve a good performance and robustness against confidentiality attacks. It is based on a simple round function that should be iterated for nr iterations and nr > 1. Furthermore, the proposed solution is analyzed and evaluated in terms of security and performance levels. Experimental results prove that the proposed solution reaches a good balance between performance and security level compared to the Paillier cipher scheme (a well-known asymmetric additive HE scheme).

关键词： Wireless communication Ciphers Additives Robustness real-time systems Performance analysis Security

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A Paradigm Shift in real-time Detection: The YOLOv7 Approach to Trainable Freebie Optimization 3

A Paradigm Shift in Real-Time Detection: The YOLOv7 Approach...

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3rd international conference on Electronics and Renewable systems, ICEARS 2025

作者： Vinitha, A. Jeevitha, S. Kumar, N.B. Mahesh Sathish Kumar, L. Saravanan, D. Karpagam Academy of Higher Education Department of Computer Applications Tamilnadu Coimbatore India Kalasalingam Academy of Research and Education Department of Computer Science and Information Technology Krishnankoil Tamilnadu Virudhunagar India Hindusthan Institute of Technology Computer Science and Engineering Tamil Nadu Coimbatore India Madhya Pradesh Sehore India

ISBN: (纸本)9798331509675

Significant progress has been made in real-time object detection, with YOLOv7 emerging as a state-of-the-art model that achieves the highest levels of accuracy and speed. This study combines Bag-of-Freebies (BoF) strategies with YOLOv7 to improve performance without incurring extra computational expenses. Our tests show that adding BoF preserves real-time inference capabilities while increasing mAP@0.5 by 3.5%. The accuracy and FPS of YOLOv7 with BoF are superior to those of the current YOLO-based models (YOLOv4, YOLOv5, YOLOv6). According to the results, YOLOv7 with BoF sets a new standard for real-time object detection by achieving a mAP@0.5 of 55.3% and 83 FPS on the COCO dataset. © 2025 ieee.

关键词： Contrastive Learning

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