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Advanced Persistent Threat Group Correlation Analysis via Attack Behavior Patterns and Rough Sets Electronics (IF 2.9) Pub Date : 2024-03-18 Jingwen Li, Jianyi Liu, Ru Zhang
In recent years, advanced persistent threat (APT) attacks have become a significant network security threat due to their concealment and persistence. Correlation analysis of APT groups is vital for understanding the global network security landscape and accurately attributing threats. Current studies on threat attribution rely on experts or advanced technology to identify evidence linking attack incidents
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Advancing Borehole Imaging: A Classification Database Developed via Adaptive Ring Segmentation Electronics (IF 2.9) Pub Date : 2024-03-18 Zhaopeng Deng, Shuangyang Han, Zeqi Liu, Jian Wang, Haoran Zhao
The use of in-hole imaging to investigate geological structure characteristics is one of the crucial methods for the study of rock mass stability and rock engineering design. The in-hole images are usually influenced by the lighting and imaging characteristics, resulting in the presence of interference noise regions in the images and consequently impacting the classification accuracy. To enhance the
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Machine-Learning-Based Traffic Classification in Software-Defined Networks Electronics (IF 2.9) Pub Date : 2024-03-18 Rehab H. Serag, Mohamed S. Abdalzaher, Hussein Abd El Atty Elsayed, M. Sobh, Moez Krichen, Mahmoud M. Salim
Many research efforts have gone into upgrading antiquated communication network infrastructures with better ones to support contemporary services and applications. Smart networks can adapt to new technologies and traffic trends on their own. Software-defined networking (SDN) separates the control plane from the data plane and runs programs in one place, changing network management. New technologies
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An ECC-Based Authentication Protocol for Dynamic Charging System of Electric Vehicles Electronics (IF 2.9) Pub Date : 2024-03-18 Jie Wang, Shengbao Wang, Kang Wen, Bosen Weng, Xin Zhou, Kefei Chen
Dynamic wireless charging emerges as a promising technology, effectively alleviating range anxiety for electric vehicles in transit. However, the communication between the system’s various components, conducted over public channels, raises concerns about vulnerability to network attacks and message manipulation. Addressing data security and privacy protection in dynamic charging systems thus becomes
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A Novel Low-Cost Capacitance Sensor Solution for Real-Time Bubble Monitoring in Medical Infusion Devices Electronics (IF 2.9) Pub Date : 2024-03-18 Chiang Liang Kok, Yuwei Dai, Teck Kheng Lee, Yit Yan Koh, Tee Hui Teo, Jian Ping Chai
In the present day, IoT technology is widely applied in the field of medical devices to facilitate real-time monitoring and management by medical staff, thereby better-ensuring patient safety. In IoT intravenous infusion monitoring sensors, it is particularly important to ensure that air bubbles are not infused into the patient’s body. The most common method for bubble detection during intravenous
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APIMiner: Identifying Web Application APIs Based on Web Page States Similarity Analysis Electronics (IF 2.9) Pub Date : 2024-03-18 Yuanchao Chen, Yuliang Lu, Zulie Pan, Juxing Chen, Fan Shi, Yang Li, Yonghui Jiang
Modern web applications offer various APIs for data interaction. However, as the number of these APIs increases, so does the potential for security threats. Essentially, more APIs in an application can lead to more detectable vulnerabilities. Thus, it is crucial to identify APIs as comprehensively as possible in web applications. However, this task faces challenges due to the increasing complexity
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Improved Carrier-Based Modulation for the Single-Phase T-Type qZ Source Inverter Electronics (IF 2.9) Pub Date : 2024-03-18 Vitor Fernão Pires, Armando Cordeiro, Daniel Foito, Carlos Roncero-Clemente, Enrique Romero-Cadaval, José Fernando Silva
The Quasi-Impedance-Source Inverter (Quasi-Z inverter) is an interesting DC-AC converter topology that can be used in applications such as fuel cells and photovoltaic generators. This topology allows for both boost capability and DC-side continuous input current. Another very interesting feature is its reliability, as it limits the current when two switches on one leg are conducting simultaneously
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Classification Method of 3D Pattern Film Images Using MLP Based on the Optimal Widths of Histogram Electronics (IF 2.9) Pub Date : 2024-03-18 Jaeeun Lee, Hongseok Choi, Jongnam Kim
3D pattern film is a film that makes a 2D pattern appear 3D depending on the amount and angle of light. However, since the 3D pattern film image was developed recently, there is no established method for classifying and verifying defective products, and there is little research in this area, making it a necessary field of study. Additionally, 3D pattern film has blurred contours, making it difficult
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Input Voltage-Level Driven Split-Input Inverter Level Shifter for Nanoscale Applications Electronics (IF 2.9) Pub Date : 2024-03-18 Srinivasulu Gundala, Mohammed Mahaboob Basha, Virupakshi Madhurima, Ovidiu Petru Stan
A level shifter (LS) appears to be highly efficient and effective in solving voltage contentions between deep sub-threshold and core voltage levels. An input voltage-level driven split-input inverter that can create common unconnected PMOS and NMOS transistors for the input inverter is proposed, which is powered and used at the input stage to achieve maximum conversion efficiency. Layout and simulation
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Research and Design of a Chicken Wing Testing and Weight Grading Device Electronics (IF 2.9) Pub Date : 2024-03-12 Kelin Wang, Zhiyong Li, Chengyi Wang, Bing Guo, Juntai Li, Zhengchao Lv, Xiaoling Ding
This thesis introduces a nondestructive inspection and weight grading device for chicken wings to replace the traditional manual grading operation. A two-sided quality nondestructive inspection model of chicken wings based on the YOLO v7-tiny target detection algorithm is designed and deployed in a Jetson Xavier NX embedded platform. An STM32 microcontroller is used as the main control platform, and
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A Long-Range Signal-Based Target Localization Algorithm Electronics (IF 2.9) Pub Date : 2024-03-14 Jinfa Ge, Dongsheng Zhu, Lijuan Sun, Chong Han, Jian Guo
Indoor target localization is pivotal across various applications, encompassing security monitoring, behavioral analysis, and elderly care. This work proposes an advanced target localization algorithm that harnesses antennas endowed with sensing capabilities to capture the phase change in the signal ratio, derived from the signal amplitude. This phase change, indicative of the target’s movement direction
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NOx Emission Prediction of Diesel Vehicles in Deep Underground Mines Using Ensemble Methods Electronics (IF 2.9) Pub Date : 2024-03-16 Michalina Kotyla, Aleksandra Banasiewicz, Pavlo Krot, Paweł Śliwiński, Radosław Zimroz
The mining industry faces persistent challenges related to hazardous gas emissions. Diesel engine-powered wheeled vehicles are commonly used during work shifts and are a primary source of nitrogen oxides (NOx) in underground mines. Despite diesel engine manufacturers providing gas generation data, mining companies need to predict NOx emissions from numerous load-haul-dumping (LHD) vehicles operating
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A Comprehensive Investigation of Lane-Changing Risk Recognition Framework of Multi-Vehicle Type Considering Key Features Based on Vehicles’ Trajectory Data Electronics (IF 2.9) Pub Date : 2024-03-16 Liyuan Zheng, Weiming Liu
To comprehensively investigate the key features of lane-changing (LC) risk for different vehicle types during left and right LC, and to improve the accuracy of LC risk recognition, this paper proposes a key feature selection and risk recognition model based on vehicle trajectory data. Based on a HighD high-precision vehicle trajectory dataset, the trajectory data of LC vehicles and surrounding vehicles
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Implementation of EnDat Interface Master Using Configurable Logic Block in MCU Electronics (IF 2.9) Pub Date : 2024-03-17 Kyungah Kim, Duc M. Tran, Joon-Young Choi
In this study, we propose an implementation method of the Encoder Data (EnDat) interface master for slave encoders using only a configurable logic block (CLB) and a serial peripheral interface (SPI) integrated into microcontroller units. By programming the CLB device to execute logic functions and finite state machines designed for the EnDat interface master operation, we realize the EnDat and SPI
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A Space-Borne SAR Azimuth Multi-Channel Quantization Method Electronics (IF 2.9) Pub Date : 2024-03-17 Wei Xu, Lu Bai, Pingping Huang, Weixian Tan, Yifan Dong
The space-borne synthetic aperture radar (SAR) azimuth multi-channel system has extensive applications because it can achieve high-resolution and wide-swath radar imaging. The thermal noise generated by the radar receiver of each channel during operation will cause an imbalance between channels. If the echoes of each channel are quantized with the same number of bits without considering the influence
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Combining wav2vec 2.0 Fine-Tuning and ConLearnNet for Speech Emotion Recognition Electronics (IF 2.9) Pub Date : 2024-03-17 Chenjing Sun, Yi Zhou, Xin Huang, Jichen Yang, Xianhua Hou
Speech emotion recognition poses challenges due to the varied expression of emotions through intonation and speech rate. In order to reduce the loss of emotional information during the recognition process and to enhance the extraction and classification of speech emotions and thus improve the ability of speech emotion recognition, we propose a novel approach in two folds. Firstly, a feed-forward network
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A 96 dB DR Second-Order CIFF Delta-Sigma Modulator with Rail-to-Rail Input Voltage Range Electronics (IF 2.9) Pub Date : 2024-03-15 Juncheol Kim, Neungin Jeon, Wonkyu Do, Euihoon Jung, Hongjin Kim, Hojin Park, Young-Chan Jang
A second-order delta-sigma modulator (DSM) is proposed for readout integrated circuits of sensor applications requiring a small area and low-power consumption. The proposed second-order CIFF DSM with the architecture of cascaded-of-integrator feedforward (CIFF) basically consists of two integrators, a 3-bit quantizer, data-weighted averaging (DWA) circuit, and clock generator. The use of the 3-bit
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Comparison of Proton and Gamma Irradiation on Single-Photon Avalanche Diodes Electronics (IF 2.9) Pub Date : 2024-03-15 Mingzhu Xun, Yudong Li, Mingyu Liu
In this paper, the effects of proton and gamma irradiation on reach-through single-photon avalanche diodes (SPADs) are investigated. The I–V characteristics, gain and spectral response of SPAD devices under proton and gamma irradiation were measured at different proton energies and irradiation bias conditions. Comparison experiments of proton and gamma irradiation were performed in the radiation environment
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Barrier-Function-Based Adaptive Fast-Terminal Sliding-Mode Control for a PMSM Speed-Regulation System Electronics (IF 2.9) Pub Date : 2024-03-15 Xin Che, Zelong Ma, Xinda Qi, Wenxian Li, Haipeng Niu, Changxiang Yan
Barrier-function-based adaptive fast-terminal sliding-mode control approaches have been devised to enhance the precision of speed regulation of permanent magnet synchronous motors (PMSMs). Firstly, the speed loop utilizes fast-terminal sliding-mode control, which contributes to a faster convergence rate and enhances the robustness of the system. By adopting this control technique, the system can quickly
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A 0.59 nW/kHz Clock Circuit with High-Precision Clock Calibration for Passive Internet of Things Chips Electronics (IF 2.9) Pub Date : 2024-03-16 Xiaoming Li, Hui Xu, Yabin An, Xiting Feng
The high precision and low power consumption of the clock generator are critical in passive RFID transponders and passive IoT chips, but fluctuations in PVT can cause considerable degradation in the precision of the chip’s internal clocks. This paper proposes a high-precision clock circuit with a single-shot calibration method to addresses this issue in a low-power clock solution. Based on the reference
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Interference Situational Aware Beam Pointing Optimization for Dense LEO Satellite Communication System Electronics (IF 2.9) Pub Date : 2024-03-16 Mengmin He, Gaofeng Cui, Weidong Wang, Xinzhou Cheng, Lexi Xu
Recently, the low earth orbit (LEO) mega-constellation faces serious time-varying interferences due to spectrum sharing, dense deployment, and high mobility. Therefore, it is important to study the interference avoidance techniques for the dense LEO satellite system. In this paper, the interference situational aware beam pointing optimization technique is proposed. Firstly, the angle of departure (AoD)
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Decentralized Exchange Transaction Analysis and Maximal Extractable Value Attack Identification: Focusing on Uniswap USDC3 Electronics (IF 2.9) Pub Date : 2024-03-16 Nakhoon Choi, Heeyoul Kim
With the advancement of blockchain technology and growing concerns about the vulnerabilities and mistrust in centralized financial services, decentralized finance (DeFi) and decentralized exchanges (DEXs) have emerged as promising alternatives. This paper delves into the challenges and issues within DeFi, with a particular focus on Uniswap. We highlight the susceptibility to Maximal Extractable Value
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Advancing Temporal Action Localization with a Boundary Awareness Network Electronics (IF 2.9) Pub Date : 2024-03-16 Jialiang Gu, Yang Yi, Min Wang
Temporal action localization (TAL) is crucial in video analysis, yet presents notable challenges. This process focuses on the precise identification and categorization of action instances within lengthy, raw videos. A key difficulty in TAL lies in determining the exact start and end points of actions, owing to the often unclear boundaries of these actions in real-world footage. Existing methods tend
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Approaches to Extend FPGA Reverse-Engineering Technology from ISE to Vivado Electronics (IF 2.9) Pub Date : 2024-03-16 Soyeon Choi, Hoyoung Yoo
SRAM-based FPGA(Field Programmable Logic Arrays) requires external memory since its internal memory gets erased when power is cut off. The process of transmitting the circuit netlist in bitstream from external memory during power-up in FPGA is vulnerable to malicious attacks such as bitstream theft and tampering. Previous FPGA reverse-engineering methods focus on FPGAs, supported by ISE (ISE Design
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MACNet: A More Accurate and Convenient Pest Detection Network Electronics (IF 2.9) Pub Date : 2024-03-14 Yating Hu, Qijin Wang, Chao Wang, Yu Qian, Ying Xue, Hongqiang Wang
Pest detection: This process is essential for the early warning of pests in the agricultural sector. However, the challenges posed by agricultural pest datasets include but are not limited to species diversity, small individuals, high concentration, and high similarity, which greatly increase the difficulty of pest detection and control. To effectively solve these problems, this paper proposes an innovative
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FE-FAIR: Feature-Enhanced Fused Attention for Image Super-Resolution Electronics (IF 2.9) Pub Date : 2024-03-14 Aiying Guo, Kai Shen, Jingjing Liu
Transformers have performed better than traditional convolutional neural networks (CNNs) for image super-resolution (SR) reconstruction in recent years. Currently, shifted window multi-head self-attention based on the swin transformer is a typical method. Specifically, the multi-head self-attention is used to extract local features in each window, and then a shifted window strategy is used to discover
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A 0.49–4.34 μW LC-SAR Hybrid ADC with a 10.85-Bit ENOB and 20 KS/s Bandwidth Electronics (IF 2.9) Pub Date : 2024-03-14 Hai Tang, Weilin Xu, Haiou Li, Baolin Wei, Xueming Wei
This paper presents a level-crossing successive-approximation-register (LC-SAR) hybrid analog-to-digital converter (ADC) that combines an LC ADC with an SAR ADC, which may be used for Internet of Things (IoT) random sparse event scenarios. The sampling frequency of a traditional LC ADC is usually proportional to the maximum instantaneous rate of change of the input signal; therefore, a higher input
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A Method for Assessing the Degradation of PVC-Insulated Low-Voltage Distribution Cables Exposed to Short-Term Cyclic Aging Electronics (IF 2.9) Pub Date : 2024-03-15 Semih Bal, Zoltán Ádám Tamus
The distribution grid comprises cables with diverse constructions. The insulating material used in low-voltage (LV) distribution cables is predominantly PVC. Furthermore, the presence of cables with different structures in the grid poses challenges in detecting the aging of the cable network. Finding a universal and dependable condition-monitoring technique that can be applied to various types of cables
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Promoting Unified Generative Framework with Descriptive Prompts for Joint Multi-Intent Detection and Slot Filling Electronics (IF 2.9) Pub Date : 2024-03-15 Zhiyuan Ma, Jiwei Qin, Meiqi Pan, Song Tang, Jinpeng Mi, Dan Liu
Natural language understanding is a crucial aspect of task-oriented dialogue systems, encompassing intent detection (ID) and slot filling (SF). Conventional approaches for ID and SF solve the problems in a separate manners, while recent studies are now leaning toward joint modeling to tackle multi-intent detection and SF. Although the advancements in prompt learning offer a unified framework for ID
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Image Processing in L1-Norm-Based Discrete Cartesian and Polar Coordinates Electronics (IF 2.9) Pub Date : 2024-03-15 Geunmin Lee, Wonha Kim
This paper proposes a radial image processing method performed in an L1-norm-based discrete polar coordinate system. For this purpose, we address the problem that polar coordinates based on the L2-norm cannot exist in discrete systems and then develop a method for converting Cartesian coordinates to L1-norm-based discrete polar coordinates. The proposed method greatly reduces the directional variance
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Dielectric-Loaded Horn Antenna Design and Simulation Using the Metamaterial Method Electronics (IF 2.9) Pub Date : 2024-03-15 Bowen Zhang, Wei Du, Nengwu Liu, Guang Fu
In this paper, we propose the design and simulation of a dielectric horn antenna using the metamaterial method; this antenna has a double-layer dielectric waveguide transmission structure. With the continuous development of microwave feed sources, the traditional waveguide systems are no longer able to meet today’s antenna requirements. Consequently, dielectric-loading technology is gradually being
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Applying Machine Learning to Construct a Printed Circuit Board Gold Finger Defect Detection System Electronics (IF 2.9) Pub Date : 2024-03-15 Chien-Yi Huang, Pei-Xuan Tsai
Machine vision systems use industrial cameras’ digital sensors to collect images and use computers for image pre-processing, analysis, and the measurements of various features to make decisions. With increasing capacity and quality demands in the electronic industry, incoming quality control (IQC) standards are becoming more and more stringent. The industry’s incoming quality control is mainly based
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A Malicious Program Behavior Detection Model Based on API Call Sequences Electronics (IF 2.9) Pub Date : 2024-03-15 Nige Li, Ziang Lu, Yuanyuan Ma, Yanjiao Chen, Jiahan Dong
To address the issue of low accuracy in detecting malicious program behaviors in new power system edge-side applications, we present a detection model based on API call sequences that combines rule matching and deep learning techniques in this paper. We first use the PrefixSpan algorithm to mine frequent API call sequences in different threads of the same program within a malicious program dataset
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Utilizing Latent Diffusion Model to Accelerate Sampling Speed and Enhance Text Generation Quality Electronics (IF 2.9) Pub Date : 2024-03-15 Chenyang Li, Long Zhang, Qiusheng Zheng
Diffusion models have achieved tremendous success in modeling continuous data modalities, such as images, audio, and video, yet their application in discrete data domains (e.g., natural language) has been limited. Existing methods primarily represent discrete text in a continuous diffusion space, incurring significant computational overhead during training and resulting in slow sampling speeds. This
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Enhancing Computational Efficiency in Event-Based Optical Camera Communication Using N-Pulse Modulation Electronics (IF 2.9) Pub Date : 2024-03-11 Jaime Aranda, Victor Guerra, Jose Rabadan, Rafael Perez-Jimenez
Event cameras are bio-inspired devices that have revolutionized the acquisition of visual information by mimicking the neural architecture of the eye. These cameras respond asynchronously to changes in scene illumination at the pixel level, providing high-precision time information with low latency, typically in the order of microseconds. In this work, we experimentally evaluate an optical camera communication
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Nonlinear Controller-Based Mitigation of Adverse Effects of Cyber-Attacks on the DC Microgrid System Electronics (IF 2.9) Pub Date : 2024-03-12 Mohd. Hasan Ali, Sultana Razia Akhter
Cyber-attacks have adverse impacts on DC microgrid systems. Existing literature shows plenty of attack detection methods but lacks appropriate mitigation and prevention approaches for cyber-attacks in DC microgrids. To overcome this limitation, this paper proposes a novel solution based on a nonlinear controller to mitigate the adverse effects of various cyber-attacks, such as distributed denial of
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Linear-Extended-State-Observer-Based Adaptive RISE Control for the Wrist Joints of Manipulators with Electro-Hydraulic Servo Systems Electronics (IF 2.9) Pub Date : 2024-03-12 Junjie Mi, Wenxiang Deng, Jianyong Yao, Xianglong Liang
Manipulators are multi-rigid-body systems composed of multiple moving joints. During movement, the Coriolis force, centrifugal force, and gravity of the system undergo significant changes. The last three degrees of freedom (DOFs) of the wrist joint of a manipulator control the end attitude. Improving the command tracking accuracy of the wrist joint is a key challenge in controlling the end attitude
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Multi-Scale Residual Spectral–Spatial Attention Combined with Improved Transformer for Hyperspectral Image Classification Electronics (IF 2.9) Pub Date : 2024-03-13 Aili Wang, Kang Zhang, Haibin Wu, Yuji Iwahori, Haisong Chen
Aiming to solve the problems of different spectral bands and spatial pixels contributing differently to hyperspectral image (HSI) classification, and sparse connectivity restricting the convolutional neural network to a globally dependent capture, we propose a HSI classification model combined with multi-scale residual spectral–spatial attention and an improved transformer in this paper. First, in
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Optimal Implementations of 8b/10b Encoders and Decoders for AMD FPGAs Electronics (IF 2.9) Pub Date : 2024-03-13 Stefan Popa, Mihai Ivanovici, Radu-Mihai Coliban
The 8b/10b IBM encoding scheme is used in a plethora of communication technologies, including USB, Gigabit Ethernet, and Serial ATA. We propose two primitive-based structural designs of an 8b/10b encoder and two of an 8b/10b decoder, all targeted at modern AMD FPGA architectures. Our aim is to reduce the amount of resources used for the implementations. We compare our designs with implementations resulting
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Design and Implementation of SSS-Based AUV Autonomous Online Object Detection System Electronics (IF 2.9) Pub Date : 2024-03-13 Shihao Wang, Xiaoyu Liu, Siquan Yu, Xinghua Zhu, Bingbing Chen, Xiaoyu Sun
Underwater object detection is an important task in marine exploration. The existing autonomous underwater vehicle (AUV) designs typically lack an integrated object detection module and are constrained by communication limitations in underwater environments. This results in a situation where AUV, when tasked with object detection missions, require real-time transmission of underwater sensing data to
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Radar Perception of Multi-Object Collision Risk Neural Domains during Autonomous Driving Electronics (IF 2.9) Pub Date : 2024-03-13 Józef Lisowski
The analysis of the state of the literature in the field of methods of perception and control of the movement of autonomous vehicles shows the possibilities of improving them by using an artificial neural network to generate domains of prohibited maneuvers of passing objects, contributing to increasing the safety of autonomous driving in various real conditions of the surrounding environment. This
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PIFall: A Pressure Insole-Based Fall Detection System for the Elderly Using ResNet3D Electronics (IF 2.9) Pub Date : 2024-03-13 Wei Guo, Xiaoyang Liu, Chenghong Lu, Lei Jing
Falls among the elderly are a significant public health issue, resulting in about 684,000 deaths annually. Such incidents often lead to severe consequences including fractures, contusions, and cranial injuries, immensely affecting the quality of life and independence of the elderly. Existing fall detection methods using cameras and wearable sensors face challenges such as privacy concerns, blind spots
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V2G Carbon Accounting and Revenue Allocation: Balancing EV Contributions in Distribution Systems Electronics (IF 2.9) Pub Date : 2024-03-13 Bingxuan Yu, Xiang Lei, Ziyun Shao, Linni Jian
Accurate carbon emission accounting for electric vehicles (EVs) is particularly important, especially for those participating in the carbon market. However, the participation of numerous EVs in vehicle-to-grid (V2G) scheduling complicates the precise accounting of individual EV emissions. This paper presents a novel approach to carbon accounting and benefits distribution for EVs. It includes a low-carbon
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Adaptive PI Controller for Speed Control of Electric Drives Based on Model Reference Adaptive Identification Electronics (IF 2.9) Pub Date : 2024-03-13 Yuefei Zuo, Shushu Zhu, Yebing Cui, Chuang Liu, Xiaogang Lin
In this paper, to achieve auto-setting of PI controller gains when mechanical parameters are unknown, two adaptive PI controllers for speed control of electric drives are developed based on model reference adaptive identification. The adaptive linear neuron (ADALINE) neural network is used to interpret the proposed adaptive PI controller. The effect of the low-pass filter used for the feedback speed
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A Central Array Method to Locate Chips in AOI Systems in Semiconductor Manufacturing Electronics (IF 2.9) Pub Date : 2024-03-14 Huichu Fu, Yiming Lai, Chunrong Pan, Siwei Zhang, Liping Bai, Jie Li
For semiconductor manufacturing, automatic optical inspections (AOIs) are important for chip quality inspection. An AOI system contains a robot arm, an industrial camera, a x-y platform, and a visual inspection module. Using the industrial camera, a wafer map can be obtained and then sent to the visual inspection module to compare with qualified chip features. There is a baseline in the x-y platform
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Variable Power Tracking Control Strategy of Doubly Fed Induction Generators for Fast Frequency Responses Electronics (IF 2.9) Pub Date : 2024-03-14 Xiaocen Xue, Jiejie Huang, Shun Sang
Frequency regulation and droop control of doubly fed induction generators (DFIGs) can quickly respond to frequency changes and reduce the maximum rate of frequency (MROFF) in power systems. However, due to real-time dynamic changes in the MPPT control loop, the ability to improve the lowest frequency point is limited. Therefore, this article first describes an in-depth analysis of the dynamic characteristics
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Learn-IDS: Bridging Gaps between Datasets and Learning-Based Network Intrusion Detection Electronics (IF 2.9) Pub Date : 2024-03-14 Minxiao Wang, Ning Yang, Yanhui Guo, Ning Weng
In an era marked by the escalating architectural complexity of the Internet, network intrusion detection stands as a pivotal element in cybersecurity. This paper introduces Learn-IDS, an innovative framework crafted to bridge existing gaps between datasets and the training process within deep learning (DL) models for Network Intrusion Detection Systems (NIDS). To elevate conventional DL-based NIDS
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Radiation Effects of Advanced Electronic Devices and Circuits Electronics (IF 2.9) Pub Date : 2024-03-14 Yaqing Chi, Chang Cai, Li Cai
Research on the effects of radiation on advanced electronic devices and integrated circuits has experienced rapid growth over the last few years, resulting in many approaches being developed for the modeling of radiation’s effects and the design of advanced radiation-hardened electronic devices and integrated circuits [...]
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Enabling Efficient On-Edge Spiking Neural Network Acceleration with Highly Flexible FPGA Architectures Electronics (IF 2.9) Pub Date : 2024-03-14 Samuel López-Asunción, Pablo Ituero
Spiking neural networks (SNNs) promise to perform tasks currently performed by classical artificial neural networks (ANNs) faster, in smaller footprints, and using less energy. Neuromorphic processors are set out to revolutionize computing at a large scale, but the move to edge-computing applications calls for finely-tuned custom implementations to keep pushing towards more efficient systems. To that
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Heterostructure-Based Optoelectronic Neuromorphic Devices Electronics (IF 2.9) Pub Date : 2024-03-14 Jisoo Park, Jihyun Shin, Hocheon Yoo
The concept of neuromorphic devices, aiming to process large amounts of information in parallel, at low power, high speed, and high efficiency, is to mimic the functions of human brain by emulating biological neural behavior. Optoelectronic neuromorphic devices are particularly suitable for neuromorphic applications with their ability to generate various pulses based on wavelength and to control synaptic
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Enhancing the Coupling of Real-Virtual Prototypes: A Method for Latency Compensation Electronics (IF 2.9) Pub Date : 2024-03-14 Peter Baumann, Oliver Kotte, Lars Mikelsons, Dieter Schramm
Currently, innovations in mechatronic products often occur at the system level, requiring consideration of component interactions throughout the entire development process. In the earlier phases of development, this is accomplished by coupling virtual prototypes such as simulation models. As the development progresses and real prototypes of certain system components become available, real-virtual prototypes
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Fast and Accurate Short-Term Load Forecasting with a Hybrid Model Electronics (IF 2.9) Pub Date : 2024-03-14 Sang Mun Shin, Asad Rasheed, Park Kil-Heum, Kalyana C. Veluvolu
Short-term electric load forecasting (STLF) plays a pivotal role in modern power system management, bolstering forecasting accuracy and efficiency. This enhancement assists power utilities in formulating robust operational strategies, consequently fostering economic and social advantages within the systems. Existing methods employed for STLF either exhibit poor forecasting performance or require longer
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A Hierarchical Trajectory Planning Algorithm for Automated Guided Vehicles in Construction Sites Electronics (IF 2.9) Pub Date : 2024-03-14 Yu Bai, Pengpeng Li, Zhipeng Cui, Peng Yang, Weihua Li
Herein, to address the challenges faced by Automatic Guided Vehicles (AGVs) in construction site environments, including heavy vehicle loads, extensive road search areas, and randomly distributed obstacles, this paper presents a hierarchical trajectory planning algorithm that combines coarse planning and precise planning. In the first-level coarse planning, lateral and longitudinal sampling is performed
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A Memorable Communication Method Based on Cryptographic Accumulator Electronics (IF 2.9) Pub Date : 2024-03-14 Wenbao Jiang, Yongpan Wang, Shuai Ye
The traditional Internet has many security problems. It is difficult to guarantee the authenticity, integrity, and synchronization of message transmission, and it lacks a message-traceability mechanism, which is caused by its performance-oriented design. To address these problems, this paper proposes a memorable communication method based on cryptographic accumulators. In this method, both parties
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Development of Autonomous Mobile Robot with 3DLidar Self-Localization Function Using Layout Map Electronics (IF 2.9) Pub Date : 2024-03-14 Minoru Sasaki, Yuki Tsuda, Kojiro Matsushita
In recent years, there has been growing interest in autonomous mobile robots equipped with Simultaneous Localization and Mapping (SLAM) technology as a solution to labour shortages in production and distribution settings. SLAM allows these robots to create maps of their environment using devices such as Lidar, radar, and sonar sensors, enabling them to navigate and track routes without prior knowledge
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Effects of Battery Energy Storage Systems on the Frequency Stability of Weak Grids with a High-Share of Grid-Connected Converters Electronics (IF 2.9) Pub Date : 2024-03-14 Pedro Paiva, Rui Castro
To achieve an energy sector independent from fossil fuels, a significant increase in the penetration of variable renewable energy sources, such as solar and wind power, is imperative. However, these sources lack the inertia provided by conventional thermo-electric power stations, which is essential for maintaining grid frequency stability. In this study, a grid resembling Madeira Island’s power generation
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Energy-Efficient RIS-Enabled SISO-OFDMA Communication via Lower Bound Optimization Electronics (IF 2.9) Pub Date : 2024-03-11 Samaneh Bidabadi, Messaoud Ahmed Ouameur, Miloud Bagaa, Daniel Massicotte
The pursuit of energy-efficient solutions in the context of reconfigurable intelligent surface (RIS)-assisted wireless networks has become imperative and transformative. This paper investigates the integration of RIS into an orthogonal frequency-division multiple access (OFDMA) framework for multi-user downlink communication systems. We address the challenge of jointly optimizing RIS reflection coefficients
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Optimizing CNN Hardware Acceleration with Configurable Vector Units and Feature Layout Strategies Electronics (IF 2.9) Pub Date : 2024-03-12 Jinzhong He, Ming Zhang, Jian Xu, Lina Yu, Weijun Li
Convolutional neural network (CNN) hardware acceleration is critical to improve the performance and facilitate the deployment of CNNs in edge applications. Due to its efficiency and simplicity, channel group parallelism has become a popular method for CNN hardware acceleration. However, when processing data involving small channels, there will be a mismatch between feature data and computing units
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Intelligent Scene-Adaptive Desensitization: A Machine Learning Approach for Dynamic Data Privacy in Virtual Power Plants Electronics (IF 2.9) Pub Date : 2024-03-12 Ruxia Yang, Hongchao Gao, Fangyuan Si, Jun Wang
In the context of virtual power plants (VPPs), the one-size-fits-all approach of traditional static desensitization methods proves inadequate due to the diverse and dynamic operational scenarios encountered. These methods fail to provide the necessary flexibility for varying data privacy requirements across different scenarios. To address this shortcoming, our research introduces a dynamic desensitization
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The Impact of Computational Accuracy on the Quality of Direct Drive Control Electronics (IF 2.9) Pub Date : 2024-03-12 Grzegorz Góra, Maciej Petko, Konrad Gac, Jakub Górski, Joanna Iwaniec, Michał Mańka, Wojciech Zabierowski
One of the main aspects of the control system development process for direct drives is the selection of the required computational accuracy while establishing its impact on the quality of the control. Understanding this relationship allows designers to consciously determine the system structure at the early stages of controller development, which enables the optimal usage of hardware resources. This