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10th International Conference on Web Research, ICWR 2024

作者： Imani, Mehdi Ghaderpour, Zahra Joudaki, Majid Beikmohammadi, Ali Stockholm University Department of Computer and System Sciences Stockholm10691 Sweden Ayatollah Boroujerdi University Electrical and Computer Engineering Boroujerd Iran University of Kashan Electrical and Computer Engineering Kashan Iran Stockholm University Department of Computer and Systems Sciences StockholmSE-16455 Sweden

ISBN: (纸本)9798350394986

This paper explores the capability of various machine learning algorithms, including Random Forest and advanced gradient boosting techniques such as XGBoost, LightGBM, and CatBoost, to predict customer churn in the telecommunications sector. For this analysis, a dataset available to the public was employed. The performance of these algorithms was assessed using recognized metrics, including Accuracy, Precision, Recall, F1-score, and the Receiver Operating Characteristic Area Under Curve (ROC AUC). These metrics were evaluated at different phases: subsequent to data preprocessing and feature selection;following the application of SMOTE and ADASYN sampling methods;and after conducting hyperparameter tuning on the data that had been adjusted by SMOTE and *** outcomes underscore the notable efficiency of upsampling techniques such as SMOTE and ADASYN in addressing the imbalance inherent in customer churn prediction. Notably, the application of random grid search for hyperparameter optimization did not significantly alter the results, which remained comparatively unchanged. The algorithms' performance post-ADASYN application marginally surpassed that observed after SMOTE application. Remarkably, LightGBM achieved an exceptional F1-score of 89% and an ROC AUC of 95% subsequent to the ADASYN sampling technique. This underlines the effectiveness of advanced boosting algorithms and upsampling methods like SMOTE and ADASYN in navigating the complexities of imbalanced datasets and intricate feature interdependencies. © 2024 IEEE.

关键词： Machine learning

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IoT Based Smart Refrigerator Using Machine Learning 2

IoT Based Smart Refrigerator Using Machine Learning

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2nd International Conference on Artificial Intelligence and Machine Learning Applications, AIMLA 2024

作者： Devanath, B. Dharunish, A.P. Mohana Bharathi, S. Suganth, R. Banupriya, V. Ramesh, M. M Kumarasamy College of Engineering Department of Electrical and Electronics Engineering Karur India M Kumarasamy College of Engineering Department of Computer Science and Business Systems Karur India

ISBN: (数字)9798350349221

ISBN: (纸本)9798350349221

The fridge is the most constantly employed menage/ kitchen electrical device encyclopedically for conserving food. The leading sectors of smart widgets include refrigerators in the kitchen. The Web of Effects (IoT) denotes the tools and systems employed to link the factors deduced from the detectors and selectors. Primarily this contrivance is employed for different purposes such as storing flora, fruits, etc. This design transforms any pre-existing fridge into an intelligent, budget-friendly outfit with exercise sensors. The proposed design is educated and worked grounded on the medium of learning machines, and it contrasts the condition of the aliment, for case, Mass, quantum, etc. The significance of this undertaking will involve barring food decay, dwindling affections, and promoting a more restorative way of life for contemporary mortal beings. The arrangement of dish recommendations grounded on the veggies being in the caddy is carried out through an abecedarian algorithm of machine literacy, which categorizes the vegetables grounded on the tinges, latterly suggesting a specific form. It'll be canny enough to warn the stoner IoT about the present condition of food papers through an Android operation on our cellular device. © 2024 IEEE.

关键词： Refrigerators

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Orbiting Optimization Model for Tracking Voltage Security Region Boundary in Bulk Power Grids

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CSEE Journal of Power and Energy systems 2022年第2期8卷 476-487页

作者： Xue Li Tao Jiang Linquan Bai Xiao Kou Fangxing Li Houhe Chen Guoqing Li the Department of Electrical Engineering Northeast Electric Power UniversityJilin 132012China the Department of Systems Engineering and Engineering Management University of North Carolina at CharlotteCharlotteNC28223 USA the Department of Electrical Engineering and Computer Science University of TennesseeKnoxvilleTN37996 USA

A voltage security region(VSR)is a powerful tool for monitoring the voltage security in bulk power grids with high penetration of *** can prevent cascading failures in wind power integration areas caused by serious over or low voltage *** bottlenecks of a VSR for practical applications are computational efficiency and *** bridge these gaps,a general optimization model for tracking a voltage security region boundary(VSRB)in bulk power grids is developed in this paper in accordance with the topological characteristics of the ***,the initial VSRB point on the VSRB is examined with the traditional OPF by using the base case parameters as initial ***,the rest of the VSRB points on the VSRB are tracked one after another,with the proposed optimization model,by using the parameters of the tracked VSRB point as the initial value to explore its adjacent VSRB *** proposed approach can significantly improve the computational efficiency of the VSRB tracking over the existing algorithms,and case studies,in the WECC 9-bus and the Polish 2736-bus test systems,demonstrate the high accuracy and efficiency of the proposed approach on exploring the VSRB.

关键词： Optimal power flow(OPF) stress direction voltage security critical point voltage security region voltage security region boundary

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CAC 2.0: A Corrupt and Correct Logic Locking Technique Resilient to Structural Analysis Attacks 25

CAC 2.0: A Corrupt and Correct Logic Locking Technique Resil...

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25th IEEE Latin American Test Symposium, LATS 2024

作者： Aksoy, Levent Yasin, Muhammad Pagliarini, Samuel National University Of Sciences And Technology Department Of Computer And Software Engineering Islamabad Pakistan Tallinn University Of Technology Department Of Computer Systems Tallinn Estonia Carnegie Mellon University Department Of Electrical And Computer Engineering Pittsburgh United States

ISBN: (纸本)9798350365559

Logic locking proposed to protect integrated circuits from serious hardware threats has been studied extensively over a decade. In these years, many logic locking techniques have been proven to be broken. The state-of-the-art logic locking techniques, including the prominent corrupt and correct (CAC) technique, are resilient to satisfiability (SAT)-based and removal attacks, but vulnerable to structural analysis attacks. To overcome this drawback, this paper introduces an improved version of CAC, called CAC 2.0, which increases the search space of structural analysis attacks using obfuscation. To do so, CAC 2.0 locks the original circuit twice, one after another, on different nodes with different number of protected primary inputs using CAC, while hiding original protected primary inputs among decoy primary inputs. This paper also introduces an open source logic locking tool, called HIID, equipped with well-known techniques including CAC 2.0. Our experiments show that CAC 2.0 is resilient to existing SAT-based, removal, and structural analysis attacks. To achieve this, it increases the number of key inputs at most 4× and the gate-level area between 30.2% and 0.8% on circuits with low and high complexity with respect to CAC. © 2024 IEEE.

关键词： Structural analysis

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Control and Stability of Large-scale Power System with Highly Distributed Renewable Energy Generation:Viewpoints from Six Aspects

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CSEE Journal of Power and Energy systems 2023年第1期9卷 8-14页

作者： Qing-Hua Wu Anjan Bose Chanan Singh Joe H.Chow Gang Mu Yuanzhang Sun Zhaoxi Liu Zhigang Li Yang Liu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China School of Electrical Engineering&Computer Science Washington State UniversityPullmanWA 99164USA Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTX 77843USA Department of Electrical Computer and Systems EngineeringRensselaer Polytechnic Institute(RPI)TroyNYUSA Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China

Power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is *** conventional fossil-fueled synchronous generators in the transmission network being replaced by renewable energy generation which is highly distributed across the entire grid,new challenges are emerging to the control and stability of large-scale power *** analysis and control methods are needed for power systems to cope with the ongoing *** the CSEE JPES forum,six leading experts were invited to deliver keynote speeches,and the participating researchers and professionals had extensive exchanges and discussions on the control and stability of power ***,potential changes and challenges of power systems with high penetration of renewable energy generation were introduced and explained,and advanced control methods were proposed and analyzed for the transient stability enhancement of power grids.

关键词： Distributed energy resources high converter penetration power system control renewable energy generation stability control transient stability

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Who is Responsible? Explaining Safety Violations in Multi-Agent Cyber-Physical systems 3

Who is Responsible? Explaining Safety Violations in Multi-Ag...

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3rd International Conference on Assured Autonomy, ICAA 2024

作者： Niu, Luyao Zhang, Hongchao Sahabandu, Dinuka Ramasubramanian, Bhaskar Clark, Andrew Poovendran, Radha University of Washington Department of Electrical and Computer Engineering SeattleWA United States Washington University in St. Louis Department of Electrical and Systems Engineering St. LouisMO United States Western Washington University Electrical and Computer Engineering BellinghamWA United States

ISBN: (纸本)9798331521011

Multi-agent cyber-physical systems are present in a variety of applications. Agent decision-making can be affected due to errors induced by uncertain, dynamic operating environments or due to incorrect actions taken by an agent. When an erroneous decision that leads to a violation of safety is identified, assigning responsibility to individual agents is a key step towards preventing future accidents. Current approaches to carrying out such investigations require human labor or high degree of familiarity with operating environments. Automated strategies to assign responsibility can achieve significant reduction in human effort and associated cognitive *** this paper, we develop an automated procedure to assign responsibility for safety violations to actions of any single agent in a principled manner. We ground our approach on reasoning about safety violations in road safety. When provided with an instance of a safety violation, we use counterfactual reasoning to create alternate scenarios that determine how different outcomes might have been achieved if a specific action or set of actions was replaced by another action or set of actions. We devise a metric called the degree of responsibility (DoR) for each agent. The DoR uses the Shapley value to quantify the relative contribution of each agent to the observed safety violation, thus serving as a basis to explain and justify future decisions. We devise both heuristic techniques and methods based on the structure of agent interactions to improve scalability of our solution as the number of agents increases. We consider three instances of safety violations from the National Highway Traffic Safety Administration (NHTSA). We carry out experiments using representations of the three scenarios using the CARLA urban driving simulator. Our results indicate that the DoR enhances explainability of decision-making and assigning accountability for actions of agents and their consequences. © 2024 IEEE.

关键词： Decision making

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Developments and trends in emergency lighting systems: from energy-efficiency to zero electrical power consumption

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Life Cycle Reliability and Safety engineering 2024年第2期13卷 129-145页

作者： Abdelmoumene, Abdelkader Bentarzi, Hamid Iqbal, Atif Krama, Abdelbasset Qatar Airways Group -HIA Doha Qatar Signals and Systems Research Laboratory IGEE Boumerdes University Boumerdes Algeria Department of Electrical Engineering Qatar University Doha Qatar Department of Electrical and Computer Engineering Texas A & amp

Emergency lighting systems are an essential component of building safety infrastructure and play a critical role in ensuring the safety of people during power outages or other emergencies. As energy efficiency and environmental sustainability continue to be a focus in building design and construction, there is a growing interest in developing emergency lighting systems that not only reduce energy consumption but also operate on zero electrical power. This paper presents a comprehensive review of emergency lighting systems, with a focus on energy efficiency and zero electrical power consumption. The study first examines traditional lighting systems such as incandescent bulbs and their limitations in terms of energy consumption and efficiency. Then discusses energy-efficient options (CFLs and LED lighting), which have significantly improved energy efficiency and reduced power consumption. It also explores the latest generation of emergency lighting systems (Tritium and Photoluminescent), which have zero electrical power consumption throughout their lifetime and provide long-lasting illumination without the need for external electrical sources. Additionally, the paper presents a detailed comparative study of the energetic, environmental, economic, and life cycle assessment of the different emergency lighting technologies. The results of the study revealed that the use of Power Free emergency lighting signs not only reduces the installation and maintenance cost but also eliminates utter energy consumption and greenhouse gas (GHG) emissions. © The Author(s), under exclusive licence to Society for Reliability and Safety (SRESA) 2024.

关键词： Emergency lighting Energy efficiency Green building Life cycle assessment Smart design Zero electrical power

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A deep decentralized privacy-preservation framework for online social networks

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Blockchain(Research and Applications) 2024年第4期5卷 163-174页

作者： Samuel Akwasi Frimpong Mu Han Emmanuel Kwame Effah Joseph Kwame Adjei Isaac Hanson Percy Brown School of Computer Science and Communication Engineering Jiangsu UniversityZhenjiang212013China Department of Computer Engineering Ghana Communication Technology UniversityAccraPMB 100Ghana Department of Electrical&Electronic Engineering Ghana Communication Technology UniversityAccraPMB 100Ghana Department of Computer Science and Information Systems Ashesi UniversityAccra3042Ghana Department of Telecommunication Engineering Ghana Communication Technology UniversityAccraPMB 100Ghana

This paper addresses the critical challenge of privacy in Online Social Networks(OSNs),where centralized designs compromise user *** propose a novel privacy-preservation framework that integrates blockchain technology with deep learning to overcome these *** methodology employs a two-tier architecture:the first tier uses an elitism-enhanced Particle Swarm Optimization and Gravitational Search Algorithm(ePSOGSA)for optimizing feature selection,while the second tier employs an enhanced Non-symmetric Deep Autoencoder(e-NDAE)for anomaly ***,a blockchain network secures users’data via smart contracts,ensuring robust data *** tested on the NSL-KDD dataset,our framework achieves 98.79%accuracy,a 10%false alarm rate,and a 98.99%detection rate,surpassing existing *** integration of blockchain and deep learning not only enhances privacy protection in OSNs but also offers a scalable model for other applications requiring robust security measures.

关键词： Preprocessing Privacy-preservation Blockchain Deep learning Online social network

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Inverse Design Method of Hyperuniform Materials Using System Factorization 16

Inverse Design Method of Hyperuniform Materials Using System...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Park, Kunwoo Lee, Ikbeom Yu, Sunk Seoul National University Intelligent Wave Systems Laboratory Department of Electrical and Computer Engineering Seoul08826 Korea Republic of

ISBN: (纸本)9798350372076

关键词： Factorization

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Design of Wave Scattering from Gain and Loss Disordered Materials 16

Design of Wave Scattering from Gain and Loss Disordered Mate...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Lee, Ikbeom Park, Kunwoo Yu, Sunkyu Seoul National University Intelligent Wave Systems Laboratory Department of Electrical and Computer Engineering Seoul08826 Korea Republic of

We propose the design of scattering from gain and loss materials using the structure factor. Increased degrees of freedom in the structure factor allow the suppression across the target momentum space. © 2024 IEEE.

ISBN: (纸本)9798350372076

关键词： Degrees of freedom (mechanics)

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