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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Power, Rupert Madawala, Udaya Swain, Akshya The University of Auckland Department of Electrical Computer and Software Engineering Auckland New Zealand

ISBN: (纸本)9798350376067

Electrical power systems are increasingly adopting DC-based loads like Electric Vehicles, DC-based energy sources like solar photovoltaic panels, and battery energy storage systems (BESS). This increasingly necessitates the control of power flows between multiple DC busses of different voltage levels. Multi-port DC-DC converters such as the Modular Multiple Active Bridge (MMAB) converter can address this requirement with a reduced component count compared to alternative approaches, and good design flexibility. However, some applications such as BESS require both voltage and current-source converter outputs. This paper proposes a new control strategy with Zero Voltage Switching (ZVS) for a voltage and current fed MMAB converter, focused on BESS applications. Theory and simulations are presented, followed by experimental validation to demonstrate the effectiveness of the proposed control strategy. It is demonstrated that the converter is stable and can achieve ZVS and high efficiency under practical conditions, and that it can operate with small passive component values that allow cost-effective design choices. © 2024 IEEE.

关键词： Solar power generation

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A Comparative Analysis of Implementation of Privacy by Design Principles on different Blockchain platforms 4

A Comparative Analysis of Implementation of Privacy by Desig...

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4th International Conference on Communication Technologies, ComTech 2023

作者： Alam, Muhammad Haroon Basit, Abdul Arif, Fahim MCS Department of Computer Software Engineering Islamabad Pakistan

ISBN: (纸本)9798350337211

Blockchain is a pillar in 4IR (4th Industrial Revolution) of the digital world. Selection of the right blockchain platform, for anonymity, is a challenge that can be overcome while getting acknowledged how anonymous a platform is. Even though privacy is ensured by most of the platforms yet a source to demonstrate which platform is ensuring it at its best is quite an urge and can be fulfilled after formulating the comparative analysis on each one of those platforms under consideration. This paper will provide that required analysis by comparing privacy by design principles on different blockchain platforms. It will be quite helpful for developing decentralized applications where privacy will be provided by design principles. © 2023 IEEE.

关键词： Blockchain

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Location Enhancement and Multi-template Fusion for Fast Long-Term Tracking 5

Location Enhancement and Multi-template Fusion for Fast Long...

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5th International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2024

作者： Chen, Shixin Software Engineering Institute of Guangzhou Department of Computer Science Guangzhou510980 China

ISBN: (纸本)9798350366174

Owing to the challenge of target occlusion leading to tracking failure during the target tracking process, achieving efficient and robust tracking of targets under occlusion scenarios has become a focal point of research. In this paper, we addresses the issue of tracking failure caused by the reduction or disappearance of target appearance information in occlusion scenarios. It proposes a study on target tracking under occlusion scenes based on deep learning methodologies. A foundation tracker is constructed that leverages location enhancement and multi-template fusion. Built upon this, graph attention mechanisms and target loss detection mechanisms are introduced. In cases where the target is lost due to occlusion, a re-detection strategy is employed to resume tracking once the target reappears. Experiments conducted on datasets demonstrate that the proposed algorithm can effectively determine whether a target is undergoing occlusion and significantly enhances tracking performance under such conditions. © 2024 IEEE.

关键词： Target tracking

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Interaction with Media Players through Hand Gesture Recognition 4

Interaction with Media Players through Hand Gesture Recognit...

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4th International Conference on Communication Technologies, ComTech 2023

作者： Saleem, Maryam Yousaf, Zainab Arshad, Iqra Abubaker, Maria Arisha Tooba Rana, Tauseef MCS Department of Computer Software Engineering Islamabad Pakistan

ISBN: (纸本)9798350337211

Hand devices provides a huge barrier between convenient and user friendly Human-computer Interaction (HCI). There is a strong need for marker-less natural interface between human and computer that can also facilitate disabled people. This paper presents a novel technique for hand gesture recognition for controlling multimedia player through hand gestures. Existing techniques available in the literature have number of limitations, such as scalability, complex implementations and limited accuracy. The solution proposed in this paper is based on image processing which does not require designing of any complicated data sensors-based gloves. Our outcome shows that an effective HCI can be achieved with minimal hardware requirement. Furthermore, the proposed system is easily scalable for controlling many other computer applications through hand gestures. © 2023 IEEE.

关键词： Human computer interaction

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Temporal Sensitivity Analysis for Enhanced Dynamic Equivalent Circuit Modeling of Lithium-ion Batteries in On-board Battery Management Systems 50

Temporal Sensitivity Analysis for Enhanced Dynamic Equivalen...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Huynh, Alvin Samanta, Akash Williamson, Sheldon Department of Electrical Computer and Software Engineering Ontario Tech University Oshawa Canada

ISBN: (纸本)9781665464543

State-of-the-art lithium-ion battery state estimation techniques, including state-of-charge, state-of-health, and remaining useful life in battery management systems (BMS), are extensively dependent on equivalent electric circuit model (ECM) parameters. ECM parameters are subject to change due to battery aging, changes in operating temperature, and other operating conditions. Therefore, updating the model parameters in real-time by on-board BMS is essential to maintain the accuracy of state estimation where ECM is used as the primary building block. ECM parameters obtained in laboratory conditions cannot guarantee accuracy in onboard BMS throughout the entire life cycle of an electric vehicle battery. Currently, onboard state estimation techniques use static ECM parameters due to complexity and computational time in parameterization and online computation, especially with higher-order ECMs. Therefore, this paper presents a comparative analysis of 2-RC, 3-RC, and 4-RC ECMs concerning parameterization time, computational cost, and accuracy, providing an understanding of the possible integration of dynamic ECM models through regular parameterization in onboard BMS. The sensitivity analysis depicts that the 3-RC model would be most appropriate for considerably high accuracy for a BMS with moderate computational power, ensuring safe and reliable state estimation throughout the lifetime of the battery. Moreover, with the changes in ambient conditions, as the sensitivity of R2 and C2 are much lower compared to other parameters thus, these do not need update with the changes in operating temperature. © 2024 IEEE.

关键词： Sensitivity analysis

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DNA Computing with Water Strider Based Vector Quantization for Data Storage Systems

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computers, Materials & Continua 2023年第3期74卷 6429-6444页

作者： A.Arokiaraj Jovith S.Rama Sree Gudikandhula Narasimha Rao K.Vijaya Kumar Woong Cho Gyanendra Prasad Joshi Sung Won Kim Department of Networking and Communications College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India Department of Computer Science Engineering Aditya Engineering CollegeSurampalemAndhra Pradesh533437India Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Computer Science and Engineering Vignan’s Institute of Engineering for WomenVisakhapatnam530049India Department of Software Convergence Daegu Catholic UniversityGyeongsan38430Korea Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-siGyeongbuk-do38541Korea

The exponential growth of data necessitates an effective data storage scheme,which helps to effectively manage the large quantity of *** accomplish this,Deoxyribonucleic Acid(DNA)digital data storage process can be employed,which encodes and decodes binary data to and from synthesized strands of *** quantization(VQ)is a commonly employed scheme for image compression and the optimal codebook generation is an effective process to reach maximum compression *** article introduces a newDNAComputingwithWater StriderAlgorithm based Vector Quantization(DNAC-WSAVQ)technique for Data Storage *** proposed DNAC-WSAVQ technique enables encoding data using DNA computing and then compresses it for effective data ***,the DNAC-WSAVQ model initially performsDNA encoding on the input images to generate a binary encoded *** addition,aWater Strider algorithm with Linde-Buzo-Gray(WSA-LBG)model is applied for the compression process and thereby storage area can be considerably *** order to generate optimal codebook for LBG,the WSA is applied to *** performance validation of the DNAC-WSAVQ model is carried out and the results are inspected under several *** comparative study highlighted the improved outcomes of the DNAC-WSAVQ model over the existing methods.

关键词： DNA computing data storage image compression vector quantization ws algorithm space saving

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A Model-Driven Framework for Water Supply Management System (MWS) 20

A Model-Driven Framework for Water Supply Management System ...

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20th International Conference on Frontiers of Information Technology, FIT 2023

作者： Azhar, Marukh Azam, Farooque Anwar, Waseem Amjad, Anam Rasheed, Yawar College of Electrical and Mechanical Engineering Department of Computer & Software Engineering Islamabad Pakistan

ISBN: (纸本)9798350395785

Systems for managing water supplies are intricate, requiring a range of models to manage water resources efficiently. These models can be designed and manipulated using a Model-Driven Architecture (MDA), which will increase the efficiency of managing the water supply. This research concept is particularly interesting since it has the potential to revolutionize water supply management. We can develop virtual representations of the entire system using model-driven architecture, allowing us to simulate and analyze numerous situations without incurring significant expenses and hazards. In this paper, we offer a model-driven framework. Our method entails transforming the model into textual representation, followed by verification with Uppaal. A model-to-text transformation is performed by creating a transformation engine in Acceleo® that converts software models into timed automata models. Timed automata are useful for modeling and analyzing the timing behavior of complicated systems. A real-time case study of the Mirpur City of Pakistan validates the framework's effectiveness, showing its capability to model water supply management systems. Incorporating formal verification improves the system's dependability by assuring standardization and reducing possible flaws. Moreover, system reliability will increase with early detection and rectification. © 2023 IEEE.

关键词： software architecture

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An ensemble deep learning model for cyber threat hunting in industrial internet of things

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Digital Communications and Networks 2023年第1期9卷 101-110页

作者： Abbas Yazdinejad Mostafa Kazemi Reza M.Parizi Ali Dehghantanha Hadis Karimipour Cyber Science Lab School of Computer ScienceUniversity of GuelphOntarioCanada Department of Electrical Engineering Faculty of EngineeringShahed UniversityTehranIran College of Computing and Software Engineering Kennesaw State UniversityGAUSA School of Engineering University of GuelphOntarioCanada

By the emergence of the fourth industrial revolution,interconnected devices and sensors generate large-scale,dynamic,and inharmonious data in Industrial Internet of Things(IIoT)*** vast heterogeneous data increase the challenges of security risks and data analysis *** IIoT grows,cyber-attacks become more diverse and complex,making existing anomaly detection models less effective to *** this paper,an ensemble deep learning model that uses the benefits of the Long Short-Term Memory(LSTM)and the AutoEncoder(AE)architecture to identify out-of-norm activities for cyber threat hunting in IIoT is *** this model,the LSTM is applied to create a model on normal time series of data(past and present data)to learn normal data patterns and the important features of data are identified by AE to reduce data *** addition,the imbalanced nature of IIoT datasets has not been considered in most of the previous literature,affecting low accuracy and *** solve this problem,the proposed model extracts new balanced data from the imbalanced datasets,and these new balanced data are fed into the deep LSTM AE anomaly detection *** this paper,the proposed model is evaluated on two real IIoT datasets-Gas Pipeline(GP)and Secure Water Treatment(SWaT)that are imbalanced and consist of long-term and short-term dependency on *** results are compared with conventional machine learning classifiers,Random Forest(RF),Multi-Layer Perceptron(MLP),Decision Tree(DT),and Super Vector Machines(SVM),in which higher performance in terms of accuracy is obtained,99.3%and 99.7%based on GP and SWaT datasets,***,the proposed ensemble model is compared with advanced related models,including Stacked Auto-Encoders(SAE),Naive Bayes(NB),Projective Adaptive Resonance Theory(PART),Convolutional Auto-Encoder(C-AE),and Package Signatures(PS)based LSTM(PS-LSTM)model.

关键词： Internet of things IIoT Anomaly detection Ensemble deep learning Neural networks LSTM

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Provably secure authentication protocol for traffic exchanges in unmanned aerial vehicles

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High-Confidence Computing 2023年第4期3卷 60-72页

作者： Vincent Omollo Nyangaresi Department of Computer Science&Software Engineering Jaramogi Oginga Odinga University of Science&TechnologyKenya

Unmanned aerial vehicles offer services such as military reconnaissance in potentially adversarial controlled *** addition,they have been deployed in civilian critical infrastructure *** this environment,real-time and massive data is exchanged between the aerial vehicles and the ground control *** on the mission of these aerial vehicles,some of the collected and transmitted data is sensitive and ***,many security protocols have been presented to offer privacy and security ***,majority of these schemes fail to consider attack vectors such as side-channeling,de-synchronization and known secret session temporary information *** last attack can be launched upon adversarial physical capture of these *** addition,some of these protocols deploy computationally intensive asymmetric cryptographic primitives that result in high *** this paper,an authentication protocol based on lightweight quadratic residues and hash functions is *** formal security analysis is executed using the widely deployed random oracle *** addition,informal security analysis is carried out to show its robustness under the Dolev–Yao(DY)and Canetti–Krawczyk(CK)threat *** terms of operational efficiency,it is shown to have relatively lower execution time,communication costs,and incurs the least storage costs among other related ***,the proposed protocol provides a 25%improvement in supported security and privacy features and a 6.52%reduction in storage *** overall,the proposed methodology offers strong security and privacy protection at lower execution time,storage and communication overheads.

关键词： Authentication Drones Quadratic residues Privacy Security Side-channeling UAV

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Performance Optimization of SAC-OCDMA Network Based on 2-D CS Code Utilizing Two Light Sources 6

Performance Optimization of SAC-OCDMA Network Based on 2-D C...

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6th International Symposium on Advanced Electrical and Communication Technologies, ISAECT 2024

作者： Alayedi, Mohanad Jaradat, Ahmad M. Elgammal, Ziad Malkawi, Malek Haliç University Department of Software Engineering Istanbul Turkey University of Detroit Mercy Department of Electrical and Computer Engineering and Computer Science MI United States Istanbul Medipol University Department of Computer Engineering Istanbul Turkey

ISBN: (纸本)9798331529987

This study introduces a novel 2-dimensional (2D) spectral/temporal code, termed 2D-cyclic shift (2D-CS) code, optimized for non-coherent Spectral Amplitude Coding Optical Code Division Multiple Access (SAC-OCDMA) systems. Computational results demonstrate that the 2D-CS code has fostered the SAC-OCDMA system's performance whence spectral efficiency (SE), phase induced intensity noise (PIIN), and cardinality. Specifically, the 2D-CS code can increase cardinality by up to 117%, 89%, and 61% compared to one-dimensional CS (1D-CS), 2D-multi service (2D-MS), and 2D-diluted perfect difference (2D-DPD) codes, respectively. The system's performance was evaluated using Optisystem software, showing significant improvements in quality factor (QF) and bit error rate (BER) with LED and laser light sources for four active users at 115 dBm transmitted power and 20,000 m distance. © 2024 IEEE.

关键词： Code division multiple access

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