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Contrast enhancement of optical videoscope images

Iran Journal of computer science 2023年第3期6卷 261-275页

作者： Ammar, Reda Aboshosha, Sahar El-Hag, Noha A. Saifeldeen, Reda El-Shafai, Walid El-Banby, Ghada M. Ashiba, Huda I. Khalaf, Ashraf A. M. Elazm, Atef Abou El-Rabaie, El-Sayed M. Abd El-Samie, Fathi E. El-Safrawey, Amir Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf 32952 Egypt Department of Electronics and Electrical Comm. Faculty of Engineering Minia University Minya Egypt Department of Management of Information Systems Higher Institute of Commercial Science El-Mahala El-Kobra Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf 32952 Egypt Department of Electronics and Electrical Communications Engineering Bilbis Higher Institute of Engineering Sharqia Bilbis Egypt Security Engineering Laboratory Computer Science Department Prince Sultan University Riyadh 11586 Saudi Arabia Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia

The videoscope (VS) images have poor quality and low contrast. Hence, in this paper, three proposed frameworks to improve the quality of VS images are presented. The first framework depends on contrast-limited adaptive histogram equalization (CLAHE) with adaptive gamma correction. The second framework depends on homomorphic processing. The third framework is based on the homomorphic enhancement with histogram equalization. The first one is superior from the entropy perspective, while the third one is superior from the contrast perspective. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

关键词： Fuzzy enhancement Histogram equalization Homomorphic enhancement Spectral entropy

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Xsg Realization of Space Vector Pulse Width Modulation for Fpga Implementation

SSRN

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SSRN 2023年

作者： Fetene, Yeshiwas Mengesha Ayenew, Endalew Assefa, Alemie Electrical and Computer Engineering Debre Berhan University Debre Birhan Ethiopia Electrical Power and Control Engineering Adama Science and Technology University Adama Ethiopia

Space vector pulse width modulation (SVPWM) is an essential component of the control system for an AC drive system. As the drive control algorithm becomes more complex the software solution digital signal processors (DSP) will not be viable to take the ultimate performance of the controller because of their sequential program execution. This paper explains the procedures of generating Very High-Speed Integrated Circuit (VHDL) code from the Simulink environment using the Xilinx system generator (XSG) and offers the comprehensive architecture of SVPWM. Compared to the conventional sinusoidal pulse width modulations (SPWM), the SVPWM performs better. Hence, they are more popular in generating firing signals for an inverter of AC motor control applications. An optimal way of implementing SVPWM algorithm is using the modern-day advancing FPGA technology. In this work, the FPGA device executes the SVPWM algorithm physically using some of the thousands of logic gates on the device. The merits of the proposed SVPWM over conventional SPWM are proved by digital simulation in MATLAB/SIMULINK using XSG. Implementation results of VHDL for testing its validity on Zynq-7000 FPGA using a design suite software- VIVADO shows the algorithm is ready to go with the actual FPGA board. © 2023, The Authors. All rights reserved.

关键词： Field programmable gate arrays (FPGA)

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Decoding AI Judgment: How LLMs Assess News Credibility and Bias

arXiv

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arXiv 2025年

作者： Loru, Edoardo Nudo, Jacopo Marco, Niccolò Di Cinelli, Matteo Quattrociocchi, Walter Department of Computer Control and Management Engineering Sapienza University of Rome Viale Ariosto 25 Rome00185 Italy Department of Computer Science Sapienza University of Rome Viale Regina Elena 295 Rome00161 Italy

Large Language Models (LLMs) are increasingly used to assess news credibility, yet little is known about how they make these judgments. While prior research has examined political bias in LLM outputs or their potential for automated fact-checking, their internal evaluation processes remain largely unexamined. Understanding how LLMs assess credibility provides insights into AI behavior and how credibility is structured and applied in large-scale language models. This study benchmarks the reliability and political classifications of state-of-the-art LLMs—Gemini 1.5 Flash (Google), GPT-4o mini (OpenAI), and LLaMA 3.1 (Meta)—against structured, expert-driven rating systems such as NewsGuard and Media Bias Fact Check. Beyond assessing classification performance, we analyze the linguistic markers that shape LLM decisions, identifying which words and concepts drive their evaluations. We uncover patterns in how LLMs associate credibility with specific linguistic features by examining keyword frequency, contextual determinants, and rank distributions. Beyond static classification, we introduce a framework in which LLMs refine their credibility assessments by retrieving external information, querying other models, and adapting their responses. This allows us to investigate whether their assessments reflect structured reasoning or rely primarily on prior learned associations. © 2025, CC BY.

关键词： Structured Query Language

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GRAPH CONVOLUTIONAL HOURGLASS NETWORKS FOR SKELETON-BASED ACTION RECOGNITION

GRAPH CONVOLUTIONAL HOURGLASS NETWORKS FOR SKELETON-BASED AC...

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2021 IEEE International Conference on Multimedia and Expo, ICME 2021

作者： Zhu, Yiran Xu, Xing Ji, Yanli Shen, Fumin Shen, Heng Tao Lu, Huimin Center for Future Media School of Computer Science and Engineering University of Electronic Science and Technology of China China Department of Mechanical and Control Engineering Kyushu Institute of Technology Japan

ISBN: (纸本)9781665438643

Graph convolution networks (GCNs) have become the mainstream framework for the skeleton-based action recognition task, since the skeleton representation of human action can be naturally modeled by the graph structure. Generally, most of the existing GCN based models extract and aggregate skeleton features by exploiting single-scale joint information, while neglecting the valuable multi-scale information such as part and body features in the skeleton. To address this issue, we propose a novel Graph Convolutional Hourglass Network (GCHN) model, which is scalable by stacking several basic modules of Graph Convolutional Hourglass Block (GCHB). Each GCHB module consists of the sequential operations of graph convolution, graph pooling and graph unpooling, which can promote the interaction of multi-scale information in the skeleton and effectively improve the recognition performance. Extensive experiments on the challenging NTU-RGB+D and Kinetics-Skeleton datasets demonstrate that the proposed GCHN model achieves state-of-the-art performance. © 2021 IEEE

关键词： Convolution

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A Study of Two Types of Introductory Exercise Problems for Network Programming Learning with Python 23

A Study of Two Types of Introductory Exercise Problems for N...

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11th International Conference on computer and Communications Management, ICCCM 2023

作者： Lu, Xiqin Funabiki, Nobuo Ueda, Kiyoshi Kao, Wen-Chung Department of Information and Communication Systems Distributed System Design Lab. Okayama University Okayama Japan Department of Computer Science Control Software Lab. Nihon University Koriyama Japan Department of Electrical Engineering National Taiwan Normal University Taipei Taiwan

ISBN: (纸本)9798400707735

Network programming is the act of writing computer codes for communications between programs or processes in different computers across networks. It is crucial for applications and services using networks, including e-commerce, gaming, and social media. However, university courses of educating it are very limited. As a result, it has become important to develop and offer IT tools to support self-studies of network programming by novices. In this paper, we present a study of two types of introductory exercise problems, namely, Grammar-concept Understanding Problem (GUP) and Comment Insertion Problem (CIP), for self-studies of five basic network protocols of TCP/IP, ARP, SMTP, POP3, and SSH with Python. A GUP instance requests to answer the keyword such as a library function in the given source code that corresponds to the grammar concept described in the question. A CIP instance requests to insert the comment at each blank of the code. String matching is adopted to mark any answer at the browser-based answer interface. Through solving them, it is expected to understand the meaning of important words and the code structure for network programming. As preliminary evaluations, we generated six GUP and CIP instances respectively, and assigned them to 10 students in Okayama University, Japan. The results confirmed that the proposal is proper for novices to learn network programming with Python. © 2023 ACM.

关键词： Python

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94LVI Algorithms of OIpU(One-Iteration-per-Update) Type Handling Time-Dependent QP(Quadratic Programming) with Two Constraints 41

94LVI Algorithms of OIpU(One-Iteration-per-Update) Type Hand...

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第41届中国控制会议

作者： Yunong Zhang Zhiwen Yuan School of Computer Science and Engineering Sun Yat-sen University Guangdong Key Laboratory of Modern Control Technology Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Research Institute of Sun Yat-sen University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper presents three relatively effective numerical algorithms,i.e.,94 LVI algorithms of OIpU(one-iteration-perupdate) type,to handle time-dependent QP(quadratic programming) problems subject to two constraints respectively(i.e.,equality and inequality constraints,equality and bound constraints,or inequality and bound constraints).Specifically,two "bridges" play essential parts of the methods(i.e.,the first "bridge" makes a QP problem convert to an LVI [linear variational inequality],and the second "bridge" makes the LVI convert to a PLPE [piecewise-linear projection equation]).On the basis of the standard94 LVI algorithm,the methods only update once through the solution of the previous sampling time ***,we conduct a number of experiments to substantiate the three algorithms respectively,which use exponential functions,log functions,and trigonometric functions in corresponding coefficients of the experimental examples.

关键词： Quadratic programming Time-dependent Numerical algorithms Linear variational inequalities(LVI)

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Recent Technological Advances in Solar Photovoltaic System and Its Applications in Building Integrated Photovoltaic System

Recent Technological Advances in Solar Photovoltaic System a...

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International Conference on Sustainable Technology and Advanced Computing in Electrical engineering, ICSTACE 2021

作者： Islam, Noorul Nat, Aslam Khan, Rashid Ahmed Department of Electrical Engineering ZH College of Engineering and Technology Aligarh Muslim University Aligarh202002 India Department of Computer Control and Management Engineering Sapienza University of Rome Rome00185 Italy Department of Electrical Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan

ISBN: (纸本)9789811943638

Energy has become an integral part of our life. The fossil fuel present in the environment is very much limited. On the other hand, fossil fuel emits harmful gases such as carbon dioxide, Chlorofluorocarbon (CFC), carbon monoxide, and others which harmed flora and fauna. Therefore, the concern for renewable energy application has become more vital due to the depletion of fossil fuels, rising global warming, and increased consumption of energy. Renewable energy aims to reduce pollution levels, enhancing the local economy and community sustainability. Solar energy is the most promising alternative energy source since it has various advantages over other renewable energy sources. The sun is an unquenchable source of energy capable of addressing all energy requirements of humankind. The solar energy concept has been around for a long time, and technological advancements will make it endure for a longer period. The PV-Effect is a mechanism that can produce an electric current when sunlight strikes the limiting layer of semiconductor materials. A photovoltaic (PV) system is a semiconductor device that produces electricity when exposed to luminosity. A PV module is made up of several solar cells that are coupled in parallel and series. This paper provides an extensive study of advancements in energy extraction techniques from a solar panel, analysing solar PV systems under diverse circumstances. PV technology is hastily evolving compared to alternative renewables, consequently leading to the Building Integrated Photovoltaics (BIPV) systems playing a significant role in the generation of electrical energy. BIPV system is a preferred choice as a building integrated solar energy storage system. It has been categorised into three subparts: Grid-connected BIPV system, BIPV system with a solar battery, and PV-Trombe wall. The BIPV mechanism simultaneously acts as a material for the envelope of the building and power extraction from. © 2022, The Author(s), under exclusive license

关键词： Fossil fuels

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NPC type three-level inverter open circuit fault diagnosis based on data driven

NPC type three-level inverter open circuit fault diagnosis b...

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第34届中国过程控制会议

作者： Tianyu Sun Chaobo Chen Shenhang Wang Binbin Zhang Yanfang Fu Song Gao TianLi Ma School of Electronic Information Engineering Xi'an Technological University Beijing Aerospace Automatic Control Institution School of Computer Science and Engineering Xi'an Technological University

The historical monitoring data of NPC type three-level inverter is ***,the feature extraction of non-stationary fault signal is *** view of the above problems,a fault diagnosis method via the combination of compressed sensing(OCS) and Wavelet Packet Decomposition(WPD) is ***,the three-phase voltage of the inverter is extracted to form a measurement *** combining the Gram matrix and the fast iterative shrinkage threshold algorithm,the measurement matrix is *** can reduce the correlation between the measurement matrix and sparse basis and improve the reconstruction of the compressed ***,considering the local anomalies and non-stationary characteristics of the fault signal,wavelet packet decomposition is used to compress the data,extract the energy of the sub-band signal,and construct feature ***,a feature dataset classifier model is established based on the Tian-Niu whisker optimization ***,the algorithm proposed in the article was validated on a simulation *** simulation results show that the proposed OCS-WPD method can effectively extract fault sensitive *** fault diagnosis model has high fault detection rate and fast diagnostic speed.

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The Residential Rat Monitoring and Detection System based on Object Detection 3

The Residential Rat Monitoring and Detection System based on...

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3rd International Conference on Image Processing, computer Vision and Machine Learning, ICICML 2024

作者： Song, Yubin Cao, Guangyu Ma, Wenyan Yang, Zhanmeng Wang, Borui Li, Lele Hangzhou Dianzi University School of Cyber Security Hangzhou China Northeastern University at Qinhuangdao School of Control Engineering Qinhuangdao China Hangzhou Dianzi University School of Computer Science Hangzhou China Northeastern University Sydney Smart Technology College Qinhuangdao China Harbin Institute of Technology School of Science Harbin China Zhejiang University of Science and Technology School of Information and Electronic Engineering Hangzhou China

ISBN: (纸本)9798350355413

With the popularity of automatic monitoring systems in home environments, animal detection techniques based on computer vision have gradually become a research hotspot. In this article, a rat detection method based on the improved YOLOv5 algorithm is proposed, aiming to improve the detection accuracy of the model in complex environments, especially in low-light and occlusion situations. Firstly, to address the limitations of YOLOv5 in small object detection, this article employs data enhancement techniques and incorporates high-resolution image inputs to improve the detection of rat, a small target. Second, a post-processing method based on adaptive thresholding is proposed to reduce the false detection of low-confidence targets while enhancing the robustness of the model in complex backgrounds. In addition, the feature extraction capability of YOLOv5 is optimised by introducing a new attention mechanism model, which improves the accuracy of rats detection. The experimental results show that the improved YOLOv5 model exhibits higher accuracy and stronger robustness in the rats detection task, providing an effective solution for mouse monitoring in home environments. © 2024 IEEE.

关键词： Attention mechanism computer vision Feature extraction

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Delayed dynamic-feedback controller design for multi-frequency vibration suppression

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IFAC-PapersOnLine 2024年第27期58卷 196-201页

作者： Adrian Saldanha Adam Peichl Wim Michiels Tomas Vyhlidal Department of Computer Science KU Leuven Celestijnenlaan 200A 3001 Leuven Belgium Dept. Instrumentation and Control Engineering Faculty of Mechanical Engineering and Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Prague 6 Czechia

We present a methodology for designing a dynamic controller with delayed output feedback for achieving non-collocated vibration suppression with a focus on the multi-frequency case. To synthesize the delay-based controller, we first remodel the system of equations as a delay-differential algebraic equation (DDAE) in such a way that existing tools for design of a static output feedback controller can be easily adapted. The problem of achieving non-collocated vibration suppression with sufficient damping is formulated as a constrained optimization problem of minimizing the spectral abscissa in the presence of zero-location constraints, with the constraints exhibiting polynomial dependence on its parameters. We transform the problem into an unconstrained one using elimination, following which we solve the resulting non-convex, non-smooth optimization problem.

关键词： vibration suppression time-delay DDAE

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