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A Privacy-Aware Provably Secure Smart Card Authentication Protocol Based on Physically Unclonable Functions

IEEE Transactions on Dependable and Secure Computing 2024年第4期21卷 2766-2778页

作者： Fan, Chun-I Karati, Arijit Wu, Shou-Li National Sun Yat-sen University Department of Computer Science and Engineering Information Security Research Center The Intelligent Electronic Commerce Research Center Kaohsiung804 Taiwan National Sun Yat-sen University Department of Computer Science and Engineering Kaohsiung804 Taiwan

For many industrial applications, the smart card is a necessary safety component in user authentication. Smart cards provided to the users are used in open and public places, making them susceptible to physical and cloning attacks. Thus, the opponent can break the authentication process without the smart card if the information is exposed. In addition, many existing authentication systems employ challenge-response pairs (CRPs) to identify users by creating large numbers of data on the server and spending much time looking for and comparing responses. To address these concerns, we propose a lightweight privacy-preserving authentication protocol in which the physically unclonable function is considered a necessary tool. The suggested technique avoids creating a significant number of CRPs on the server to identify users uniquely. Under formal security models, the proposed protocol is resistant to user impersonation attacks and session key disclosure attacks and achieves robust mutual authentication. Nonetheless, it is immune to other essential security vulnerabilities. Empirical performance analysis demonstrates its viability in comparison to prior works. © 2023 IEEE.

关键词： Authentication

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Intelligent QV2X Routing for Traffic Management in Consumer IoV Using STGNN and Reinforcement Learning

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IEEE Transactions on Consumer electronics 2025年第1期71卷 1288-1297页

作者： Jamal, Syed Saqib Muhammad, Afaq Song, Wang-Cheol Jeju National University Department of Electronic Engineering Jeju Korea Republic of College of Computing and Mathematics Computer Engineering Department and Interdisciplinary Research Center for Intelligent Secure Systems Dhahran Saudi Arabia

In the Consumer Internet of Vehicles (CIoV), reliable and timely data communication is essential for enhancing driver experience and safety. This paper introduces an innovative QV2X routing strategy that uses Spatio-Temporal Graph Neural Networks (STGNN) and Q-learning to optimize packet traffic in CIoV. By predicting network conditions and adapting to real-time data flows, our approach directly addresses consumer needs for efficient data transmission, reduced communication delays, and improved infotainment access. The integration of predictive models with adaptive learning mechanisms not only optimizes packet delivery but also minimizes latency and packet loss, critical for consumer applications like real-time navigation assistance and hazard warnings. Our key contribution is a dynamic packet traffic management system designed for consumer use, enhancing network reliability and efficiency for everyday vehicle users. Experimental results validate that our model surpasses existing benchmarks by improving packet delivery ratios by up to 15% and reducing end-to-end delays by up to 20% in urban traffic scenarios. This advancement demonstrates our strategy's effectiveness in enriching consumer experiences and safety in vehicular communications. © 1975-2011 IEEE.

关键词： Packet loss

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Arrhythmia Detection by Using Chaos Theory with Machine Learning Algorithms

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computers, Materials & Continua 2024年第6期79卷 3855-3875页

作者： Maie Aboghazalah Passent El-kafrawy Abdelmoty M.Ahmed Rasha Elnemr Belgacem Bouallegue Ayman El-sayed Math and Computer Science Department Faculty of ScienceMenoufia UniversityShebin El-komEgypt College of Engineering Computer Science DepartmentEffat UniversityJeddahKingdom of Saudi Arabia Department of Computer Engineering College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia Computer Science and Engineering Department Faculty of Electronic EngineeringMenoufia UniversityShebin El-komEgypt Climate Change Information Center and Expert Systems Agriculture Research CenterGizaEgypt

Heart monitoring improves life ***(ECGs or EKGs)detect heart *** learning algorithms can create a few ECG diagnosis processing *** first method uses raw ECG and time-series *** second method classifies the ECG by patient *** third technique translates ECG impulses into Q waves,R waves and S waves(QRS)features using richer *** ECG signals vary naturally between humans and activities,we will combine the three feature selection methods to improve classification accuracy and *** using all three approaches have not been examined till *** researchers found that Machine Learning(ML)techniques can improve ECG *** study will compare popular machine learning techniques to evaluate ECG *** algorithms—Support Vector Machine(SVM),Decision Tree,Naive Bayes,and Neural Network—compare categorization *** plus prior knowledge has the highest accuracy(99%)of the four ML *** characteristics failed to identify signals without chaos *** 99.8%classification accuracy,the Decision Tree technique outperformed all previous experiments.

关键词： ECG extraction ECG leads time series prior knowledge and arrhythmia chaos theory QRS complex analysis machine learning ECG classification

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Super retina TFT based full color microLED display via laser mass transfer

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Science China(Information Sciences) 2024年第11期67卷 5-19页

作者： Xu YANG Jinchai LI Xuhui PENG Chunfeng ZHAO Chao CHEN Xiaowei ZHANG Jinliang LIN Donghua LI Yuefen CHEN Zhaoxia BI Feng QIN Cheng LI Kai HUANG Junyong KANG Rong ZHANG Fujian Key Laboratory of Semiconductor Materials and Applications CI Center for OSEDEngineering Research Center of Micro-nano Optoelectronic Materials and Devices Ministry of EducationDepartment of Physics Xiamen University Future Display Institute of Xiamen Tianma Microelectronics Co. Ltd. School of Electronic Science and Engineering Xiamen University Tianma Advanced Display Technology Institute (Xiamen) Co. Ltd.

MicroLED display is considered one of the most promising technologies for next-generation displays. However, the high manufacturing cost has been a major obstacle to its accessibility to the general consumer market, and mass transfer, an essential process to achieve cost-effective manufacturing, has not yet reached commercial maturity. Critical issues, such as microLED chips, transfer equipments, and process materials, need to be addressed for the mass transfer technologies. In this work, we present a 1.63-inch full color microLED display module fabricated with laser mass transfer, which has a pixel density of 403 pixels per inch(PPI), the highest resolution ever achieved in the industry using mass transfer technologies. The laser mass transfer is realized with three process nodes: laser lift-off, laser induced forward transfer, and carrier bonding. Each node has been well explored to improve yields. Insights into the present progress and the future development of the laser mass transfer will be shared in this work.

关键词： microLED mass transfer LLO chip on wafer chip on carrier

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Traffic Control Based on Integrated Kalman Filtering and Adaptive Quantized Q-Learning Framework for Internet of Vehicles

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computer Modeling in engineering & Sciences 2024年第3期138卷 2103-2127页

作者： Othman S.Al-Heety Zahriladha Zakaria Ahmed Abu-Khadrah Mahamod Ismail Sarmad Nozad Mahmood Mohammed Mudhafar Shakir Hussein Alsariera Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka(UTeM)Durian TunggalMalaysia College of Computing&Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Department of Electrical Electronic and System EngineeringUniversiti Kebangsaan MalaysiaUKM BangiSelangorMalaysia Computer Technology Engineering College of Engineering TechnologyAl-Kitab UniversityKirkukIraq Faculty of Engineering and Electronic Engineering Universiti Tun Hussein Onn Malaysia(UTHM)Batu PahatMalaysia 6Research Center DepartmentThe University of MashreqBaghdadIraq

Intelligent traffic control requires accurate estimation of the road states and incorporation of adaptive or dynamically adjusted intelligent algorithms for making the *** this article,these issues are handled by proposing a novel framework for traffic control using vehicular communications and Internet of Things *** framework integrates Kalman filtering and *** smoothing Kalman filtering,our data fusion Kalman filter incorporates a process-aware model which makes it superior in terms of the prediction *** traditional Q-learning,our Q-learning algorithm enables adaptive state quantization by changing the threshold of separating low traffic from high traffic on the road according to the maximum number of vehicles in the junction *** evaluation,the model has been simulated on a single intersection consisting of four roads:east,west,north,and south.A comparison of the developed adaptive quantized Q-learning(AQQL)framework with state-of-the-art and greedy approaches shows the superiority of AQQL with an improvement percentage in terms of the released number of vehicles of AQQL is 5%over the greedy approach and 340%over the state-of-the-art ***,AQQL provides an effective traffic control that can be applied in today’s intelligent traffic system.

关键词： Q-learning intelligent transportation system(ITS) traffic control vehicular communication kalman filtering smart city Internet of Things

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Multilevel Self-Training Approach for Cross-Domain Semantic Segmentation in Intelligent Vehicles

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IEEE Intelligent Transportation Systems Magazine 2024年第1期16卷 148-161页

作者： Chen, Yung-Yao Jhong, Sin-Ye National Taiwan University of Science and Technology Department of Electronic and Computer Engineering Smart Electric Vehicle Research Center Taipei106335 Taiwan National Cheng Kung University Department of Engineering Science Tainan City701 Taiwan

The use of intelligent vehicle technology is increasing;however, this technology requires further improvement. Semantic segmentation enables intelligent vehicles to understand the environment. Although advances have been achieved in a deep learning model for semantic segmentation, large-scale real-world datasets with manual pixel-level annotations, which are expensive, are required for adequately training these models. Unsupervised domain adaptation (UDA) for semantic segmentation enables training on a synthetic source domain and allows a model to be adapted to the real-world target domain without target domain annotations. Self-training is a highly effective UDA method;however, current UDA methods struggle to shift domains effectively and rely heavily on aggressive image-based perturbations for consistency training, resulting in poor-quality pseudolabels during the early training phase and decreased training efficiency. Therefore, we propose a novel multilevel self-training UDA method for semantic segmentation. First, a feature guidance and resampling strategy is adopted to improve the learning of rare classes in the source domain, and a spatial-aware mixing method is then used for gradually and smoothly eliminating the domain gap through training in various cross-domain intermediate spaces. In addition, we developed an instance and prototype feature consistency technique that explores optimization in the feature space to improve the training process by increasing model consistency. We conducted large-scale experiments on two challenging UDA benchmarks, 'GTA5-to-Cityscapes' and 'SYNTHIA-to-Cityscapes.' Our method achieved similar or superior performance to that of previously developed UDA methods for semantic segmentation and has advantages in terms of training stability and convergence efficiency. © 2009-2012 IEEE.

关键词： Semantics

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Strategies to enhance Li^(+) transference number in liquid electrolytes for better lithium batteries

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Nano research 2023年第6期16卷 8055-8071页

作者： Pan Zhou Xiaokun Zhang Yong Xiang Kai Liu Department of Chemical Engineering Tsinghua UniversityBeijing 100084China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 611731China Advanced Energy Research Institute University of Electronic Science and Technology of ChinaChengdu 611731China Sichuan Provincial Engineering Research Center of Flexible Display Material Genome University of Electronic Science and Technology of ChinaChengdu 611731China

Growing market demand from portable electronics to electric automobiles boosts the development of lithium-ion batteries(LIBs)with high energy density and rate ***,strong solvation effect between lithium ions(Li^(+))and solvent molecules in common electrolytes limits the mobility of Li^(+)ions in ***,anions dominate the charge conduction in electrolytes,and in most cases,the value of Li^(+)transference number(T_(+))is between 0.2 and 0.4.A low T_(+)will aggravate concentration polarization in the process of charging and discharging,especially at high rate,which not only increases the overpotential but also intensifies side reactions,along with uneven deposition of lithium(Li)and the growth of lithium dendrites when lithium metal is used as *** this review,promising strategies to improve T_(+)in liquid electrolytes would be *** migration of Li^(+)ions is affected directly by the types and concentration of lithium salts,solvents,and additives in bulk ***,Li^(+)ions will pass through the separator and solid electrolyte interphase(SEI)when transferring between anodes and *** this in mind,we will classify and summarize threads of enhancing T_(+)from five aspects:lithium salts,solvents,additives,separators,and SEI based on different mechanisms,including covalently bonding,desolvation effect,Lewis acid-base interaction,electrostatic interaction,pore sieving,and supramolecular *** believe this review will present a systematic understanding and summary on T_(+)and point out some feasible threads to enhance battery performance by enhancing T_(+).

关键词： lithium batteries Li^(+)transference number rate performance strategies mechanisms

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Metasurfaces for next-generation wireless communication systems

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National Science Review 2023年第8期10卷 17-19页

作者： Younes Ra'di Nikita Nefedkin Petar Popovski Andrea Alù Department of Electrical Engineering and Computer Science Syracuse University Photonics Initiative Advanced Science Research Center City University of New York Department of Electronic Systems Aalborg University Physics Program Graduate Center City University of New York

The pace of development in the world of 5G communication systems has proven to be much more demanding than previous generations, with 5G-Advanced seemingly around the corner [1]. Extensive research is already underway to structure the next generation of wireless systems(i.e. 6G), which may potentially enable an unprecedented level of human–machine interaction [2].

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Photo-sensitive Vertical Alignment Material with Room Temperature Dipcoating Technique

Photo-sensitive Vertical Alignment Material with Room Temper...

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International Symposium, Seminar, and Exhibition, display Week 2024

作者： Yu, Xinyi Semenenko, Oleksandr M. Vashchenko, Valerii V. Srivastava, Abhishek Kumar State Key Laboratory of Advanced Display and Optoelectronics and Centre for Display Research Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong University of Science and Technology Hong Kong

Using a room-temperature dip-coating technique, we propose a cinnamate-unit-phosphonic-acid-based surface tantalignment material that can be orientated by linear polarized light. Using the technique, we can treat a substrate simply and quickly, achieving a uniform pretilt angle of approximately 86° with a low dose of polarized UV light. We examined the optical and electrical properties of the alignment material under different conditions, including pretilt angles under different irradiation doses, voltage holding ratio (VHR) and residual direct circuit (RDC) when using different solvents, stability, etc. The results show that the material has acceptable performance. Since the phosphonic acid series photosensitive materials still have much room for optimization, we believe it is a potential new generation of photosensitive surfactant alignment materials. © 2024, John Wiley and Sons Inc. All rights reserved.

关键词： Liquid crystal photo alignment room temperature alignment surfactant alignment vertical alignment materials

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Reducing Resolution Loss in Naked Eye 3D display Using Dual Ferroelectric Liquid Crystal (FLC) Shutters for Time-multiplexed Light Field display

Reducing Resolution Loss in Naked Eye 3D Display Using Dual ...

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International Symposium, Seminar, and Exhibition, display Week 2024

作者： Sun, Zhi-Bo Yuan, Zheng-Nan Huo, Yi-Peng Dong, Shou-Cheng Cheung, Alex Vashchenko, Valerii Vashchenko, Olena Srivastava, Abhishek Kwok, Hoi-Sing State Key Laboratory of Advanced Displays and Optoelectronics Technologies and Center for Display research Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Road Kowloon Hong Kong

Usually, the resolution loss is serious in light field display due to the spatial multiplexing of several neighboring pixels to display images from different directions. With the limitation in the resolution of the flat panel display, the light field 3D display shows insufficient display size, image depth, or resolution. This article utilized the FLC with a fast response at 2 kHz and the optimized charge compensation method to achieve a high refresh time multiplexing method, which can effectively increase the display resolution by up to 32 times and is very promising for light field 3D displays in the future. © 2024, John Wiley and Sons Inc. All rights reserved.

关键词： Flat panel displays

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