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IEEE SENSORS

作者： Sinan Yavuz Edwin Naroska Kai Daniel Department of Electrical Engineering and Computer Science University of Siegen Siegen Germany Department of Electrical Engineering and Computer Science Niederrhein University of Applied Sciences Krefeld Germany Institute of Measurement and Sensor Technology University of Applied Sciences Ruhr West Mülheim Germany

ISBN: (数字)9798350363517

ISBN: (纸本)9798350363524

Implementation of delay-based Physical Unclonable Functions (PUFs) on FPGAs poses significant challenges due to high requirements, such as the generation of unique and reliable keys. These requirements must be fulfilled, especially when using PUFs in security applications, otherwise security cannot be guaranteed. In addition, it must be ensured that physical disturbances such as fluctuations in the ambient temperature do not have a major impact on the performance of the PUF and therefore on security. In this paper, the implementation and evaluation of a novel 56-bit 2–4 Double Arbiter PUF (DAPUF) is presented. For performance analysis, the proposed 2–4 DAPUF is investigated with 20 Digilent Nexys-3 (AMD-Xilinx Spartan-6 FPGA) boards and a large data set of 30 million challenges under varying ambient temperature in the range from 0°C to 50°C. Our experimental results show that the proposed 2–4 DAPUF is resistant to temperature fluctuations. Here, the maximum change in reliability amounts to 1.18 %. For randomness and uniqueness, the changes are less than 0.50 %. Furthermore, our results show that performance can be significantly improved by combining PUFs with XOR operations.

关键词： Resistance Temperature distribution Fluctuations Physical unclonable function Sensors Performance analysis Security Field programmable gate arrays

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E-mode p-channel GaN/AlGaN HFETs with κ-Ga2O3 as gate oxide

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Optical and Quantum Electronics 2025年第5期57卷 1-15页

作者： Ma, Wenchao Wang, Wei Wang, Jin Wang, Rui Zhi, Ting Parkhomenko, Irina N. Komarov, Fadei F. Chen, Dunjun Zhang, Rong Xue, Junjun Nanjing University of Posts and Telecommunications Nanjing210023 China Faculty of Radiophysics and Computer Sciences Belarusian State University Minsk220045 Belarus A.N. Sevchenko Institute of Applied Physical Problems of Belarusian State University Minsk220045 Belarus Key Laboratory of Advanced Photonic and Electronic Materials School of Electronic Science and Engineering Nanjing University Nanjing210023 China

In this article, a κ-Ga2O3 cap layer is introduced as gate dielectric to achieve E-mode GaN p-channel heterostructure FETs (p-HFETs). Due to the high spontaneous polarization of κ-Ga2O3, 2DEG that up to 1.51 × 1014 cm− 2 are induced at the κ-Ga2O3/GaN interface. Based on device simulations, the threshold voltage (VTH) can reach a high value of -2.42 V and maintain negative even when the thickness of the GaN channel (tch) is increased to 50 nm. By interconnecting base and gate to form a double-gate (DG) structure, the control of 2DEG and 2DHG can be realized. The results show that p-HFETs with DG structure not only exhibit a threefold increase in the on-current (ION) while maintaining the E-mode operation, reaching 24.87 mA/mm with VTH of -1.25 V, but also reduce the gate leakage current at forward bias. Furthermore, the utilization of κ-Ga2O3 as the gate dielectric results in an enhancement of the gate breakdown voltage to -35.8 V. The proposed DG p-HFETs represent a promising approach to achieving high-performance enhancement mode p-channel GaN devices. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Gallium nitride

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Generalized Portrait Quality Assessment

arXiv

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arXiv 2024年

作者： Chahine, Nicolas Ferradans, Sira Vazquez-Corral, Javier Ponce, Jean DXOMARK Paris France France Computer Vision Center Barcelona Spain Computer Sciences Departament Universitat Autònoma de Barcelona Barcelona Spain The Institute of Mathematical Sciences Center for Data Science New York University United States

Automated and robust portrait quality assessment (PQA) is of paramount importance in high-impact applications such as smartphone photography. This paper presents FHIQA, a learning-based approach to PQA that introduces a simple but effective quality score rescaling method based on image semantics, to enhance the precision of fine-grained image quality metrics while ensuring robust generalization to various scene settings beyond the training dataset. The proposed approach is validated by extensive experiments on the PIQ23 benchmark and comparisons with the current state of the art. The source code of FHIQA will be made publicly available on the PIQ23 GitHub repository at https://***/DXOMARK-Research/PIQ2023. © 2024, CC BY-NC-SA.

关键词： Image enhancement

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Towards Learning Rubik’s Cube with N-tuple-based Reinforcement Learning

arXiv

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arXiv 2023年

作者： Konen, Wolfgang Technical Report Computer Science Institute TH Köln University of Applied Sciences Germany

This work describes in detail how to learn and solve the Rubik’s cube game (or puzzle) in the General Board Game (GBG) learning and playing framework. We cover the cube sizes 2x2x2 and 3x3x3. We describe in detail the cube’s state representation, how to transform it with twists, whole-cube rotations and color transformations and explain the use of symmetries in Rubik’s cube. Next, we discuss different n-tuple representations for the cube, how we train the agents by reinforcement learning and how we improve the trained agents during evaluation by MCTS wrapping. We present results for agents that learn Rubik’s cube from scratch, with and without MCTS wrapping, with and without symmetries and show that both, MCTS wrapping and symmetries, increase computational costs, but lead at the same time to much better results. We can solve the 2x2x2 cube completely, and the 3x3x3 cube in the majority of the cases for scrambled cubes up to p = 15 (QTM). We cannot yet reliably solve 3x3x3 cubes with more than 15 scrambling twists. Although our computational costs are higher with MCTS wrapping and with symmetries than without, they are still considerably lower than in the approaches of McAleer et al. (2018, 2019) and Agostinelli et al. (2019) who provide the best Rubik’s cube learning agents so far. © 2023, CC BY-SA.

关键词： Reinforcement learning

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Intelligent Congestion Control In Internet of Vehicles (IoV) employing Network Slicing in Beyond 5G (B5G) Architecture

TechRxiv

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TechRxiv 2023年

作者： Gul, Raja Sana Ahmad, Arbab Waheed Department of Electrical and Computer Engineering Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology Pakistan

5G, the fifth generation of wireless technology, has a significant impact on networking, enable faster data transfer speeds, lower latency, higher capacity, and greater reliability. An instantaneous response time is crucial for applications like real-time gaming, autonomous vehicles, remote surgery, and Internet of Things (IoT) devices that require rapid data processing. 5G introduces network slicing, which allows network resources to be divided into multiple virtual networks. 5G also allows network operators to dynamically allocate resources, adapt to changing demands, and introduce new services more efficiently in various fields. One of the major fields is internet of vehicles (IoV) which is a decentralized network. However, an increase in the number of requests on the network can result in delays, leading to high latency and low throughput. High network traffic may cause network congestion, which reduces the efficiency and effectiveness of the *** proposed work focuses on adopting a network slicing-based strategy to mitigate network congestion in IoV networks for congestion free network. The proposed mechanism defines four network slices. The results show that the slicing approach provides better performance compared to the current access scheme and efficiently control network congestion. The slicing approach results in lower packet loss ratio and delay. The proposed approach is a stone towards the implementation of network slicing in Internet of Vehicles networks in the future for achieving improved performance, congestion control, energy efficiency, and spectrum utilization in IoV environments. © 2023, CC BY.

关键词： Vehicles

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Vulnerabilities and Challenges in the Development of PUF-Based Authentication Protocols on FPGAs: A Brief Review

Vulnerabilities and Challenges in the Development of PUF-Bas...

引用

IEEE Conference on Dependable and Secure Computing

ISBN: (数字)9798331540289

ISBN: (纸本)9798331540296

The security of IoT (Internet of Things) devices and the protection of sensitive information processed by these devices such as personal data, sensor values, process-related information is an important and difficult challenge. A major task in IoT communication is secure identification of devices. Unfortunately, traditional cryptographic methods are often not suitable for IoT devices due to their limited hardware resources. However, typical methods are computationally intensive, require a large amount of memory, and have a high-power consumption. On the other hand, Physical Unclonable Functions (PUFs) are low-cost and lightweight hardware-based primitives that can be used as a security component to protect data against third parties and thus increase security of a device. In this paper, the challenges and vulnerabilities in the development of PUF-based authentication protocols are presented. To this end, a security analysis of different approaches known from literature are discussed. Furthermore, possible attack vectors and prevention techniques are also considered.

关键词： Protocols Reviews Authentication Physical unclonable function Vectors Security Internet of Things Servers Object recognition Field programmable gate arrays

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Inverse design of silicon nitride mode-division multiplexer

Inverse design of silicon nitride mode-division multiplexer

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2024 Laser Science, LS 2024

作者： Paul, Aditya Liu, Danxian Zeng, Tianyi Bostan, Egemen Lu, Jesse Yang, Kiyoul John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States SPINS Photonics Inc. HollisterCA United States

We experimentally demonstrate an inverse-designed mode-division multiplexer on an 800-nm-thick silicon nitride platform. The multiplexer is optimized within a 14.4 × 9.6 µm2 footprint. The measured insertion loss and crosstalk are 2.11 dB and 17.1 dB, respectively. © 2024 The Author(s). © Optica Publishing Group 2024.

关键词： Silicon nitride

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Cloud Quantum Resource Allocation using Game Theoretic Quantum Based Dynamic Combinatorial Auction

Cloud Quantum Resource Allocation using Game Theoretic Quant...

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Green Industrial Electronics and Sustainable Technologies (GIEST), IEEE International Conference on

作者： Rupesh Das Soumili Pal Punit Panda Vishal Pradhan Mahendra Kumar Gourisaria Anjan Bandyopadhyay School of Computer Engineering Kalinga Institute of Industrial Technology Bhubaneshwar India School of Applied Sciences Kalinga Institute of Industrial Technology Bhubaneswar India

ISBN: (数字)9798331540142

ISBN: (纸本)9798331540159

Resource allocation in cloud quantum computing environments is a challenging problem due to the combinatorial nature of quantum resources and the strategic behavior of users. This paper presents a novel Game Theoretic Quantum Dynamic Combinatorial Auction (GTQBDCA) framework for efficient and fair allocation of quantum resources in cloud environments. By integrating game theory and dynamic combinatorial auctions, our approach addresses the unique challenges of quantum resource allocation, ensuring optimal resource utilization and user satisfaction. We demonstrate the effectiveness of our framework through theoretical analysis and simulation results.

关键词： Industrial electronics Cloud computing Quantum computing Simulation Green products Quantum mechanics Games Dynamic scheduling Resource management Game theory

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Effect of Credit Financing on the Supply Chain for Imperfect Deteriorating Items with Carbon Emission 11

Effect of Credit Financing on the Supply Chain for Imperfect...

引用

11th International Conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Mittal, Mandeep Chauhan, Sudhir Kumar Rastogi, Shivangi School of Computer Science Engineering and Technology Bennett University Department of Mathematics Uttar Pradesh Greater Noida India Amity University Uttar Pradesh Aias Department of Mathematics Noida India Amity Institute of Applied Sciences Amity University Uttar Pradesh Noida India

ISBN: (纸本)9798350350357

The sustainable inventory model is a framework designed to ensure manufacturing processes' sustainability while maintaining profitability. During manufacturing, some items may experience degradation, resulting in imperfect goods. Nevertheless, a screening process is implemented to eliminate such items before they reach the consumers. Therefore, it is critical to scrutinize items prone to deterioration thoroughly. Suppliers prioritize trade credit in payments when supplying retailers, necessitating the development of an inventory model that caters to the needs of retailers dealing with imperfect and deteriorating quality items while considering carbon emissions and trade credit as a payment. The study presents numerical illustrations and sensitivity analysis for a better understanding of the model. © 2024 IEEE.

关键词： Supply chains

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Optimizing Electricity Theft Detection using Neural Turing Machines and Machine Learning 1

Optimizing Electricity Theft Detection using Neural Turing M...

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1st International Conference on Software, Systems and Information Technology, SSITCON 2024

作者： Buyukbicakci, Erdal Bulat, Selcuk Senthilkumar, C. Rajesh, A. Sivasundaram, Malatthi Palla, Rama Raju Svsv University of Applied Sciences Information Technologies Vocational Highschool Department of Computer Technologies Sakarya Turkey Institute of Natural Sciences Sakarya University Turkey Erode Sengunthar Engineering College Department of Artificial Intelligence and Data Science Erode India Erode Sengunthar Engineering College Department of Cse Erode India Ksr College of Engineering Department of Computer Science and Design Tiruchengode India Vignan's Institute of Information Technology Department of Cse Duvvada India Turkish Standards Institution Department of Nanoscience and Nanoengineering Istanbul Turkey

ISBN: (纸本)9798350352931

Electricity theft detection (ETD) is crucial for smart grids to maintain their cost-effectiveness. Current approaches for identifying theft struggle with large datasets of electricity use owing to problems with missing values, data variance, and nonlinear patterns in the data;furthermore, an integrated infrastructure to coordinate the study of electricity load data is not currently in *** suggested method trains models after feature extraction and stage preprocessing. Data normalization, missing value imputation, and data cleansing are all components of data preprocessing. Utility data sets often suffer from inconsistent and missing data as a result of manual and unsynchronized meter reading and registering processes;however, this can be mitigated through the feature extraction process. All the way through training, the proposed approach stuck with the NTM paradigm. The average accuracy of this state-of-the-art approach is 94.22%, which is higher than RNN and ELM. © 2024 IEEE.

关键词： Adversarial machine learning

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