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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Sara Alahmadi Kasem Khalil Haytham Idriss Magdy Bayoumi Center of Advanced Computer Studies University of Louisiana at Lafayette USA Department of Electrical and Computer Engineering University of Mississippi USA Computer Science Department Purdue University Fort Wayne USA Department of Electrical and Computer Engineering University of Louisiana at Lafayette USA

ISBN: (数字)9798350330991

ISBN: (纸本)9798350331004

Strong Physical Unclonable Functions (PUFs) have gained traction as lightweight authentication solutions for IoT devices. However, their vulnerability to machine learning attacks poses a security risk. Various strategies have been introduced in the literature to enhance its resilience against modeling attacks, introducing additional complexity and making them unsuitable for resource-constrained devices. In contrast, weak PUFs exhibit inherent resistance to modeling attacks, but they suffer from a restricted number of Challenge-Response Pairs (CRPs), thus unsuitable for authentication. This paper proposes a PUF design that incorporates weak PUFs to obscure the responses of Strong PUFs, effectively safeguarding them from modeling attacks. Our design shows resilience against a modeling attack, revealing a maximum accuracy of 57% despite using 10 7 CRPs. The proposed method is implemented on the Artix-7 FPGA with Verilog HDL. The results demonstrate that the proposed method has a small footprint in terms of resource utilization. This innovative approach offers a lightweight solution for IoT device authentication, combining the strengths of strong and weak PUFs while mitigating the vulnerabilities associated with modeling attacks.

关键词： Resistance Authentication Machine learning Physical unclonable function Security Internet of Things Hardware design languages

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Single-input single-output multi-touch soft sensor systems using band-pass filters

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npj Flexible Electronics 2022年第1期6卷 681-690页

作者： Junhyung Kim Suhan Kim Yong-Lae Park Department of Mechanical Engineering Institute of Advanced Machines and DesignInstitute of Engineering ResearchSeoul National UniversitySeoul 08826Republic of Korea Department of Electrical Engineering and Computer Science Research Laboratory of ElectronicsMassachusetts Institute of Technology77 Massachusetts AvenueCambridgeMA 02139USA

In many soft sensor systems,external wires for connecting the sensors to control circuits have posed practical problems,in terms of compact form factors and physical *** study proposes a design of soft sensor arrays that can operate with a drastically reduced number of wires without degrading the original *** proposed concept is an array of soft sensing modules,each of which consists of an inductor and a capacitor embedded next to the resistive sensing module,constructing a resistorinductor-capacitor band-pass *** adjusting the values of the capacitance and the inductance,unique frequency band is assigned to each sensing module,enabling the distinctive detection using only two external wires regardless of the number of *** multi-touch sensing functionality of the system is analytically modeled and experimentally *** advantage of the design,a fingertip tactile sensor and an insole foot pressure sensor are demonstrated as practical applications.

关键词： connecting constructing touch

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A New Combined PV Output Power Forecasting Model Based on Optimized LSTM Network

A New Combined PV Output Power Forecasting Model Based on Op...

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2023 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2023

作者： Heydari, Azim Keynia, Farshid Fekih, Afef Tjernberg, Lina Bertling Barchi, Grazia Moser, David Eurac Research Institute for Renewable Energy Bolzano Italy Graduate University of Advanced Technology Institute of Science and High Technology and Environmental Sciences Department of Energy Management and Optimization Kerman Iran University of Louisiana at Lafayette Department of Electrical and Computer Engineering LafayetteLA United States KTH Royal Institute of Technology School of Electrical Engineering and Computer Science Stockholm Sweden

ISBN: (纸本)9798350331790

One of the most challenging problems in designing and implementing effective management strategies and demand responses in renewable-rich grids is the uncertainty associated with the power output (PO) of solar photovoltaic (PV) systems. The exact and trustworthy prediction of PV power can provide substantial decision support for planning and operating power systems. This paper develops an intelligent PV output power (PV-OP) forecasting model. The proposed PV-OP forecasting model consists of an Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) signal decomposition model to decompose the original PV output power signal to different frequencies, LSTM neural network as a main forecaster engine, and multi-objective NSGA-II optimization algorithm as a hyperparameters optimizer. The developed PV power forecasting model was validated using the PV power datasets of an off-grid village located in Chalokwa, Zambia. The obtained results confirmed the performance and accuracy of the proposed PV output power forecasting model. © 2023 IEEE.

关键词： Multiobjective optimization

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Energy Consumption Prediction of a CNC Machining Process With Incomplete Data

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IEEE/CAA Journal of Automatica Sinica 2021年第5期8卷 987-1000页

作者： Jian Pan Congbo Li Ying Tang Wei Li Xiaoou Li the State Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing 400044China the Department of Electrical and Computer Engineering Rowan UniversityGlassboroNJ 08028 USA the Computer Science Department The Research and Advanced Studies Centre of the National Polytechnic InstituteMexico City 07360Mexico

Energy consumption prediction of a CNC machining process is important for energy efficiency optimization *** improve the generalization abilities,more and more parameters are acquired for energy prediction *** the data collected from workshops may be incomplete because of misoperation,unstable network connections,and frequent transfers,*** work proposes a framework for energy modeling based on incomplete data to address this ***,some necessary preliminary operations are used for incomplete data ***,missing values are estimated to generate a new complete data set based on generative adversarial imputation nets(GAIN).Next,the gene expression programming(GEP)algorithm is utilized to train the energy model based on the generated data ***,we test the predictive accuracy of the obtained *** experiments are designed to investigate the performance of the proposed framework with different rates of missing *** results demonstrate that even when the missing data rate increases to 30%,the proposed framework can still make efficient predictions,with the corresponding RMSE and MAE 0.903 k J and 0.739 k J,respectively.

关键词： Energy consumption prediction incomplete data generative adversarial imputation nets(GAIN) gene expression programming(GEP)

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Optical Skyrmionic Hopfion Induced Surface Structures in Azopolymers via Photo-Induced Mass Transport 16

Optical Skyrmionic Hopfion Induced Surface Structures in Azo...

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

作者： Tamura, Rihito Kumar, Praveen Rao, A. Srinivasa Litchinitser, Natalia M. Omatsu, Takashige Indian Institute of Technology Department of Physics Bhilai India Graduate School of Engineering Chiba University Japan Molecular Chirality Research Center Chiba University Japan Institute for Advanced Academic Research Chiba University Japan Duke University Department of Electrical and Computer Engineering United States

We report on the formation of surface relief structures of azopolymers by irradiation of optical skyrmionic hopfion. The reliefs reflect exotic polarization textures of hopfion and will pave the way for advanced rewri... 详细信息

ISBN: (纸本)9798350372076

关键词： Optical image storage

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advanced Schedulability Testing for Adaptive Mixed-Criticality Systems under Weakly Hard Real-Time Constraints

Advanced Schedulability Testing for Adaptive Mixed-Criticali...

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CSI Symposium on Real-Time and Embedded Systems and Technologies (RTEST)

作者： Hossein Rabbiun Jamal Mohammadi Mahmoud Shirazi Mehdi Kargahi Department of Computer Science and Information Technology Institute for Advanced Studies in Basic Sciences (IASBS) Zanjan Iran School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran

ISBN: (数字)9798331529284

ISBN: (纸本)9798331529291

This paper advances the schedulability analysis of the Adaptive Mixed-Criticality for Weakly Hard Real-Time Systems (AMC-WH) which allows a specified number of consecutive low-criticality (LO) jobs of tasks to be skipped when the system operates in the high-criticality (HI) mode. The current AMC-WH schedulability test, based on the skip-over model, in which low tasks are guaranteed to meet m − s out of m consecutive deadlines, where s is the number of allowed skips and m is the cycle length, only calculates the worst-case response times (WCRT) for low tasks under a fixed execution pattern post-mode switch. To address this limitation, we propose a new sufficient schedulability test for AMC-WH using the (m,k)-firm model, which allows various execution patterns for low tasks after a mode switch, enhancing the flexibility and applicability. Additionally, we develop an exact schedulability test for AMC-WH based on response time analysis (RTA). This test modifies the existing exact tests for the AMC algorithm, incorporating updates to state-space exploration and pruning rules to account for low task execution after a mode switch. Simulation results validate the effectiveness of our tests, demonstrating enhanced schedulability analysis and optimized resource allocation.

关键词： Adaptation models Adaptive systems Scheduling algorithms Simulation Switches Cyber-physical systems Real-time systems Time factors Resource management Testing

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A Precise Model of Insect Flight Vitality and Development of Unmanned Micro Aerial Vehicle

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Journal of The Institution of Engineers (India): Series B 2021年第5期102卷 915-926页

作者： Anandan, R. Kalaivani, K. Department of Computer Science and Engineering Vels Institute of Science Technology & Advanced Studies PallavaramTamil Nadu India

In recent times, scores of innovations are taking place in the field of unmanned aerial vehicle (UAV) technology that includes continuous development of design of on-board processing, memory, storage, and communication capabilities. Since UAVs are now being used extensively in many areas of expertise that include commercial, military, civilian, agricultural, and environmental applications, it is very essential that these UAVs communicate efficiently. The communication may be of the UAV-to-UAV (U2U) type or it could be with the already existing prevalent networking infrastructures UAV-to-Infrastructure (U2I) type of communication. A new prototype is developed based on the insect flight dynamism. These insect wings are very thin membranous structure. They are subjected to many forces and follow aerodynamic flying and hovering. The current research trend on this subject is the simulation of insect wing structure and utilization to create a prototype for the development of unmanned micro air vehicles. In the present study, three flying insects such as dragon fly, cicada, and jewel beetle are selected and the wing aerodynamic parameters are analyzed by mathematical models. The comparative scanning of the data revealed that cicada wing structure is their aerodynamic characteristics may serve as a prototype. The results are discussed with relation to the base data for the flapping-wing system in micro air vehicle. In this paper, we have tried to put forward an approach that is capable of providing real-time positioning and tracking of a UAV. The approach has three parts: tracking device, backend server, and mobile app. © 2021, The Institution of Engineers (India).

关键词： Aerodynamics

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Approaching Convergence from an Undergraduate engineering Perspective 54

Approaching Convergence from an Undergraduate Engineering Pe...

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54th IEEE Frontiers in Education Conference, FIE 2024

作者： Thompson, Michael S. Applehans, Sarah Cheville, Alan Thomas, Rebecca Thomas, Stewart J. Nickel, Robert Asare, Philip Bucknell University Department of Electrical and Computer Engineering LewisburgPA17837 United States Lafayette University Department of Engineering Studies EastonPA18042 United States Institute for Studies in Transdisciplinary Engineering Education and Practice University of Toronto ON TorontoM5S 1A4 Canada

ISBN: (纸本)9798350351507

This research-to-practice full paper presents and approach to bringing convergence to the undergraduate engineering context. Convergence is the process of integrating a variety of ideas, skills, and methods to create new ideas, skills, and methods in order to address complex, socially relevant challenges like the UN Sustainable Development Goals [1] and the National Academy of engineering's (NAE) Grand Challenges [2]. In the US, the National Science Foundation (NSF) has been a major driver of convergence related research and has focused on work primarily at the graduate level and beyond. To explore how convergence concepts translate to an undergraduate engineering context this research to practice paper describes a taxonomy that translates convergent knowledge, skills, and mindsets into the domain of undergraduate engineering education. While we do not believe it is reasonable to expect undergraduates to engage with convergence in the same way as graduate students or postdoctoral scholars, we believe that they can develop in areas that will allow them to engage in convergent work later in their careers. This paper first defines convergence and then examines the challenges and opportunities related to developing a student's ability to do convergent work in an undergraduate context. The developed taxonomy outlines the knowledge, skills, mindsets, and structures that support convergent work from the larger research literature, and adapts these to an undergraduate context. The taxonomy is then used to conduct a gap analysis of an undergraduate electrical and computer engineering degree program. This analysis is based on the syllabi. This work was conducted in the context of an electrical and computer engineering department situated in a medium-sized primarily undergraduate liberal arts institution in the mid-Atlantic region. As the challenges and opportunities are similar to but also unique to this institution this work forms a rich case study that can inform similar ef

关键词： Students

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Microwave Time Quasicrystals

Microwave Time Quasicrystals

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Lee, Kyungmin Kyung, Minwook Park, Jagang Kim, Yung Cho, Hyuckjoon Choi, Joonhee Min, Bumki Department of Physics Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA94720 United States Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of Department of Electrical Engineering Stanford University StanfordCA94305 United States

We experimentally observe the discrete time-quasicrystalline phase in microwave temporal crystals. In addition, it was confirmed that the microwave time quasicrystal is robust against spatial defects to a certain degr... 详细信息

ISBN: (纸本)9781957171258

关键词： Quasicrystals

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Cloud Energy Storage Management Including Smart Home Physical Parameters

Cloud Energy Storage Management Including Smart Home Physica...

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2023 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2023

作者： Saini, Vikash Kumar Yelisetti, Srinivas Kumar, Rajesh Al-Sumaiti, Ameena S. Malaviya National Institute of Technology Center for Energy and Environment Jaipur India Khalifa University Advanced Power and Energy Center Electrical Engineering and Computer Science United Arab Emirates Malaviya National Institute of Technology Department of Electrical Engineering Jaipur India

ISBN: (纸本)9798350331790

Consumption of green energy in residential communities is increasing compared to conventional supply. However, the variability in generation due to different weather parameters is a significant challenge to their growth rate. Energy storage has the potential to address this issue, and sharing economy-based cloud energy storage (CES) has gained popularity as a way to reduce energy consumption costs and increase revenue. This study analyzes the deployment of CES infrastructure operation in seven residential smart homes community. All seven homes utilized CES services based on their daily net load demand. In the first phase, the PSO algorithm optimized the load trajectory, taking into account all smart home parameters and physical components. Subsequently, the operational cost of CES in the community is evaluated in scenarios with and without home energy management systems. Simulation results indicated that the energy consumption cost of the residential community from the grid is zero, and revenue is 43.59% higher when home energy management systems are employed. The modeled home parameters significantly affected total community energy costs. © 2023 IEEE.

关键词： Energy utilization

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