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14th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2022

作者： Ghayoula, Ridha Fattahi, Jaouhar Smida, Amor El Gmati, Issam Pricop, Emil Ziadia, Marwa Laval University Department of Electrical and Computer Engineering Quebec Canada Laval University Department of Computer Science and Software Engineering Quebec Canada Majmaah University Department of Medical Equipment Technology Majmaah Saudi Arabia College of Engineering Al Gunfudha Umm Al Qura University Umm Al Qura Saudi Arabia Petroleum-Gas University of Ploiesti Automatic Control Computers and Electronics Department Ploiesti Romania

ISBN: (数字)9781665495356

ISBN: (纸本)9781665495356

FPGA is a hardware architecture based on a matrix of programmable and configurable logic circuits thanks to which a large number of functionalities inside the device can be modified using a hardware description language. These functionalities must often be secured especially when the context is sensitive (military, banking, medical, legal, etc.). In this paper, we put forward an efficient implementation of SIMON's block cipher algorithm using Xilinx Vivado 2018.2. The proposed design is analyzed through simulation on Xilinx Artix-7. A prototype of our design is implemented using the xc7a35tcsg324-1 FPGA chip. Performance and results are discussed. © 2022 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Enhancing Information Freshness via Knowledge Graph-Aided Semantic Communication

Enhancing Information Freshness via Knowledge Graph-Aided Se...

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International Conference on Information, Communication and Networks (ICICN)

作者： Jie Chen Shuai Yang Tse-Tin Chan Haoyuan Pan College of Computer Science and Software Engineering Shenzhen University Shenzhen China Department of Mathematics and Information Technology The Education University of Hong Kong Hong Kong SAR China

This paper investigates semantic communication to enhance the information freshness of status update systems, using time division multiple access (TDMA) as an example. Age of information (AoI) is used to characterize information freshness, defined as the time elapsed since the generation of the last successfully received status update. Prior works on analyzing and optimizing AoI have focused on the conventional bit-oriented communication paradigm, aiming to efficiently and reliably deliver each bit of the update message. When a large number of users take turns transmitting their update messages over a wireless channel to a common access point (AP), conventional bit-oriented TDMA systems may result in a high average AoI because users have to wait a long time for the next update opportunity. To address this problem, we propose a knowledge graph-aided semantic communication for TDMA systems, referred to as KGSC-TDMA, to achieve higher information freshness. With the aid of the shared knowledge graph, KGSC-TDMA transmits the meaning of update messages in the form of triplets instead of exact bits, thus reducing the amount of information transmitted and the time to receive update messages. Furthermore, an update in KGSC-TDMA is successful, even with bit errors, as long as the AP can recover the meaning of the message received. Experimental results indicate that KGSC-TDMA outperforms conventional bit-oriented TDMA in average AoI, thanks to shorter packet durations and robust semantic recovery.

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A Comprehensive Study of Structural Pruning for Vision Models

arXiv

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arXiv 2024年

作者： Li, Changhao Li, Haoling Xue, Mengqi Fang, Gongfan Zhou, Sheng Feng, Zunlei Wang, Huiqiong Song, Mingli Song, Jie School of Software Technology Zhejiang University Hangzhou China School of Computer and Computing Science Hangzhou City University Hangzhou China College of Design and Engineering National University of Singapore Singapore Ningbo Innovation Center Zhejiang University Ningbo China College of Computer Science and Technology Zhejiang University Hangzhou China

Structural pruning has emerged as a promising approach for producing more efficient models. Nevertheless, the community suffers from a lack of standardized benchmarks and metrics, leaving the progress in this area not fully comprehended. To fill this gap, we present the first comprehensive benchmark, termed PruningBench, for structural pruning. PruningBench showcases the following three characteristics: 1) PruningBench employs a unified and consistent framework for evaluating the effectiveness of diverse structural pruning techniques;2) PruningBench systematically evaluates 16 existing pruning methods, encompassing a wide array of models (e.g., CNNs and ViTs) and tasks (e.g., classification and detection);3) PruningBench provides easily implementable interfaces to facilitate the implementation of future pruning methods, and enables the subsequent researchers to incorporate their work into our leaderboards. We provide an online pruning platform http://*** for customizing pruning tasks and reproducing all results in this paper. Leaderboard results can be available on https://***/HollyLee2000/PruningBench. © 2024, CC BY.

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A New Debleeding Algorithm for Image colorization

A New Debleeding Algorithm for Image colorization

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Consumer Electronics and computer engineering (ICCECE), 2021 IEEE International Conference on

作者： Lianrong Chen Naidan Mei Lianjie Wang Jianhong Li Department of Computer Science and Technology Guangdong University of Foreign Studies (GDUFS) Guangzhou China Department of Software Engineering Guangdong University of Foreign Studies (GDUFS) Guangzhou China

Colorization is the process of adding color to grayscale images using computer algorithms. There are several approaches to color an image, including precise image segmentation algorithms, deep learning algorithms, and manually colored local color expansion methods. However, one common problem with these approaches is the occurrence of “color bleeding”, where colors from one region of the image spill over into adjacent regions. In this paper, we propose a new manually colored local color expansion algorithm that considers the intensity value difference and distance difference between the central pixel in the window and its neighbor pixels comprehensively. Combined with side window filtering, our algorithm significantly reduces the occurrence of colors bleeding at the edges of the colored image. The experiments demonstrate the effectiveness of the proposed algorithm.

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Detecting Memory-Related Bugs by Tracking Heap Memory Management of C++ Smart Pointers 36

Detecting Memory-Related Bugs by Tracking Heap Memory Manage...

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36th IEEE/ACM International Conference on Automated software engineering, ASE 2021

作者： Ma, Xutong Yan, Jiwei Wang, Wei Yan, Jun Zhang, Jian Qiu, Zongyan Chinese Academy of Sciences State Key Laboratory of Computer Science Institute of Software China Technology Center of Software Engineering Institute of Software Chinese Academy of Sciences China University of Chinese Academy of Sciences China Peking University School of Mathematical Sciences China

ISBN: (纸本)9781665403375

The smart pointer mechanism, which is improved in the continuous versions of the C++ standards over the last decade, is designed to prevent memory-leak bugs by automatically deallocating the managed memory blocks. However, not all kinds of memory errors can be immunized by adopting this mechanism. For example, dereferencing a null smart pointer will lead to a software failure. Due to the lack of specialized support for smart pointers, the off-the-shelf C++ static analyzers cannot effectively reveal these *** this paper, we propose a static approach to detecting memory-related bugs by tracking the heap memory management of smart pointers. The behaviors of smart pointers are modeled during their lifetime to trace the state transitions of managed memory blocks. and the specially designed checkers are used to check the state changes according to five collected bug patterns. To evaluate the effectiveness of our approach, we implement it on the top of the Clang Static Analyzer. A set of handmade code snippets, as well as nine popular open-source C++ projects, are used to compare our tool against four other analyzers. The results show that our approach can successfully discover nearly all the built-in bugs. and 442 out of 648 reports generated from the open-source projects are true positives after manual reviewing, where the bugs of dereferencing null smart pointers are most frequently reported. To further confirm our reports, we design patches for Aria2, Restbed, MySQL and LLVM, in which seven pull requests covering 76 bug reports have been merged by the developers up to now. The results indicate that pointers should always be carefully used even after migrated to smart pointers and static analysis upon specialized models can effectively detect such bugs. © 2021 IEEE.

关键词： Static analysis

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Fusing Dynamics Equation: A Social Opinions Prediction Algorithm with LLM-based Agents

arXiv

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arXiv 2024年

作者： Yao, Junchi Zhang, Hongjie Ou, Jie Zuo, Dingyi Yang, Zheng Dong, Zhicheng College of Computer Science Sichuan Normal University Chengdu China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China Fujian Provincial Engineering Technology Research Center of Photoelectric Sensing Application Fujian Normal University Fuzhou China College of Information Science Technology Tibet University Lhasa China

In the context where social media is increasingly becoming a significant platform for social movements and the formation of public opinion, accurately simulating and predicting the dynamics of user opinions is of great importance for understanding social phenomena, policy making, and guiding public opinion. However, existing simulation methods face challenges in capturing the complexity and dynamics of user behavior. Addressing this issue, this paper proposes an innovative simulation method for the dynamics of social media user opinions, the FDE-LLM algorithm, which incorporates opinion dynamics and epidemic model. This effectively constrains the actions and opinion evolution process of large language models (LLM), making them more aligned with the real cyber world. In particular, the FDE-LLM categorizes users into opinion leaders and followers. Opinion leaders are based on LLM role-playing and are constrained by the CA model, while opinion followers are integrated into a dynamic system that combines the CA model with the SIR model. This innovative design significantly improves the accuracy and efficiency of the simulation. Experiments were conducted on four real Weibo datasets and validated using the open-source model ChatGLM. The results show that, compared to traditional agent-based modeling (ABM) opinion dynamics algorithms and LLM-based opinion diffusion algorithms, our FDE-LLM algorithm demonstrates higher accuracy and interpretability. Copyright © 2024, The Authors. All rights reserved.

关键词： Chatbots

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A Novel Model-driven Framework for the Development of Web-based Geographical Information Systems

A Novel Model-driven Framework for the Development of Web-ba...

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International Conference on software technology and engineering (ICSTE)

作者： Zara Hayat Farooque Azam Muhammad Waseem Anwar Yawar Rasheed Department of Computer & Software Engineering College of E&ME National University of Sciences and Technology (NUST) H-12 Islamabad Pakistan Department of Innovation Design and Engineering Malardalen University Vasteras Sweden

Web-based Geographical Information Systems (Web-GIS) aim to store, analyze, and disseminate geospatial information, enabling effective decision-making. However, their development requires professional expertise and incurs high development costs, resulting in resource limitations for many organizations in developing their own GIS. To address these challenges, we propose a Geo-Location System (GLS) Framework with a Model-driven approach that will ease the developers to automatically develop their customized Web-GIS using Google Maps API. The framework incorporates a GLS meta-model encompassing essential concepts for Web-GIS development and proposes two novel features using OCL constraints to enhance the framework’s capabilities. The framework also includes a customized tree editor and a graphical modeling tool that allows the easy modeling and visualization of any complex Web-GIS. Moreover, the framework provides an Acceleo transformation engine that automatically transforms models into executable Web code. The resulting source code is browser-ready without manual modifications. The proposed framework is validated with a real-world case study which demonstrates its effectiveness in reducing the overall development complexity, cost, and time.

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Correction: Agile meets quantum: a novel genetic algorithm model for predicting the success of quantum software development project

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Automated software engineering 2024年第1期32卷 1-11页

作者： Khan, Arif Ali Akbar, Muhammad Azeem Lahtinen, Valtteri Paavola, Marko Niazi, Mahmood Alatawi, Mohammed Naif Alotaibi, Shoayee Dlaim M3S Empirical Software Engineering Research Unit University of Oulu Oulu Finland Software Engineering Department Lappeenranta-Lahti University of Technology Lappeenranta Finland Quanscient Oy Tampere Finland VTT Technical Research Ctr of Finland Ltd Oulu Finland Department of Information and Computer Science King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Interdisciplinary Research Centre for Intelligent Secure Systems King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Information Technology Department Faculty of Computers and Information Technology University of Tabuk Tabuk Saudi Arabia Department of Artificial Intelligence and Data Science College of Computer Science and Engineering University of Hail Hail Saudi Arabia

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Enhancing Early Childhood Learning using Image Processing for Sinhala Medium Education

Enhancing Early Childhood Learning using Image Processing fo...

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Advancements in Computing (ICAC), International Conference on

作者： R.G.V Saranga A.H.N. Jayasinghe U.A.S. Divyantha S.W.L.P de Silva N.H.P. Ravi Supunya Swarnakantha P. K. Suriya Kumari Department of Computer Science and Software Engineering Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka Department of Information Technology Faculty of Computing Sri Lanka Institute of Information Technology Malabe Sri Lanka

The study aims to develop a mobile application for young children to learn Sinhala letters, shapes, colors, and storytelling incorporating machine learning models to evaluate and enhance educational activities. With the rise of online education during the COVID-19 pandemic, the familiarity of children with mobile devices provides an opportunity to create an engaging and educational experience. The application will teach Sinhala letters using object images, allowing children to upload their own images for feedback. It also includes a feature for children to practice writing letters and analyze their progress. Also, the application introduces colors and shapes in Sinhala, encouraging children to draw and track their improvement. Additionally, the application aims to generate stories in Sinhala to improve children's creativity and thinking knowledge. This research addresses a critical gap in existing Sinhala learning applications by integrating machine learning for activity assessment, promising to significantly impact and improve early language education for children.

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Intermodal interference based refractive index sensor employing elliptical core photonic crystal fiber

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Optoelectronics Letters 2021年第5期17卷 271-275页

作者： WU Xu-jie SONG Bin-bin WU Ji-xuan HUANG Wei The Key Laboratory of Computer Vision and System of Ministry of Education Tianjin Key Laboratory of Intelligence Computing and Novel Software TechnologyTianjin University of TechnologyTianjin 300384China Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems College of Electronic and Information EngineeringTiangong UniversityTianjin 300387China

A refractive index(RI)sensor based on elliptical core photonic crystal fiber(EC-PCF)has been *** asymmetric elliptical core introduces the polarization-dependent characteristics of the fiber core *** performances of intermodal interference between the intrinsic polarization fiber core modes are investigated by contrast in two interferometers based on the Mach-Zehnder(M-Z)and Sagnac interference *** addition,the RI sensing characteristics of the two interferometers are studied by successively filling the three layers air holes closest to the elliptical core in the *** results show that the M-Z interference between LP_(01)and LP_(11)mode in the same polarized direction is featured with the incremental RI sensing sensitivity as the decreasing interference length,and the infilled scope around the elliptical core has a weak correlation with the RI sensing *** to the high birefringence of LP11 mode,the Sagnac interferometer has better RI sensing performance,the maximum RI sensing sensitivity of 12000 nm/RIU is achieved under the innermost one layer air holes infilled with RI matching liquid of RI=1.39 at the pre-setting EC-PCF length of 12 cm,which is two orders of magnitude higher than the M-Z interferometer with the same fiber *** series of theoretical optimized analysis would provide guidance for the applications in the field of biochemical sensing.

关键词： Sagnac PCF Intermodal interference based refractive index sensor employing elliptical core photonic crystal fiber

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