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WCM-WTrA: A Cross-Project Defect Prediction Method Based on Feature Selection and Distance-Weight Transfer Learning

Chinese Journal of Electronics 2022年第2期31卷 354-366页

作者： LEI Tianwei XUE Jingfeng WANG Yong NIU Zequn SHI Zhiwei ZHANG Yu School of Computer Science and Technology Beijing Institute of Technology China Information Technology Security Evaluation Center School of Electrical and Information Engineering Beijing University of Civil Engineering and Architecture

Cross-project defect prediction is a hot topic in the field of defect prediction. How to reduce the difference between projects and make the model have better accuracy is the core problem. This paper starts from two perspectives: feature selection and distance-weight instance transfer. We reduce the differences between projects from the perspective of feature engineering and introduce the transfer learning technology to construct a cross-project defect prediction model WCM-WTrA and multi-source model Multi-WCM-WTrA. We have tested on AEEEM and ReLink datasets, and the results show that our method has an average improvement of 23%compared with TCA+ algorithm on AEEEM datasets,and an average improvement of 5% on ReLink datasets.

关键词： feature engineering cross-project defect prediction software defect prediction project management feature selection learning (artificial intelligence) software maintenance WCM-WTrA distance-weight transfer learning software quality distance-weight instance transfer multisource model MultiWCM-WTrA

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Distributed Page Table: Harnessing Physical Memory as an Unbounded Hashed Page Table 57

Distributed Page Table: Harnessing Physical Memory as an Unb...

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57th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2024

作者： Kwon, Osang Lee, Yongho Park, Junhyeok Jang, Sungbin Tak, Byungchul Hong, Seokin Sungkyunkwan University Department of Electrical and Computer Engineering Korea Republic of School of Computer Science and Engineering Kyungpook National University Korea Republic of

ISBN: (纸本)9798350350579

Virtual memory systems rely on the page table, a crucial component that maps virtual addresses to physical addresses (i.e., address translation). While the Radix Page Table (RPT) has traditionally been used for this task, its limitations have become more apparent with the rise of memory-intensive applications. Recently, Hashed Page Tables (HPTs) have been explored as an alternative page table structure to offer faster address translation. However, the HPT introduces its own set of challenges particularly in resizing the page table and allocating contiguous physical memory space for storing the table. To tackle the fundamental problem of the existing HPT designs, this paper introduces Distributed Page Table (DPT), a novel approach that utilizes the physical memory as a huge hashed page table. DPT distributes Page Table Entries (PTEs) across the entire physical memory space, significantly reducing the hash collisions while avoiding the table resizing overheads. When distributing the PTEs across the physical memory, they can be mapped to memory locations already allocated to data pages. This new type of collision, referred to as address collision, may reduce the effectiveness of the DPT. This paper showcases that the DPT can effectively resolve the address collision with three simple yet efficient techniques: Strided Open Addressing (SOA), Collision-Aware Virtual Address Allocation (CVA) and Collided Page Displacement (CPD). Our experimental results demonstrate that DPT achieves average performance improvements of 12.6%, 11.6%, and 8.7% compared to traditional RPT, the latest large-coverage TLB design, and state-of-the-art HPTs, respectively. © 2024 IEEE.

关键词： Virtual addresses

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EEG-based comparative measurement of visual fatigue caused by stereoscopic depth perception

EEG-based comparative measurement of visual fatigue caused b...

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The 2023 International Conference on Display Technology, (ICDT 2023)

作者： Jia, Lixiu Huang, Sheng Ding, Yiquan Feng, Lihang Huang, Xiaohua School of Computer Engineering Nanjing Institute of Technology Jiangsu Nanjing China School of Electrical Engineering and Control Science Nanjing Tech University Jiangsu Nanjing China

In this study, we investigated the influence of stereoscopic depth on visual fatigue based on subjective and EEG measurement. 19 channels of EEG data of 17 subjects before and after watching 3D movie with different depth ranges were recorded, and the power of δ, θ, α, β, power spectral parameters (gravity frequency, power spectral entropy) were calculated and analyzed. The results showed that visual fatigue caused by 3D enhanced movies with larger negative disparity was more significantly severe than that of 3D normal movies. © 2023, John Wiley and Sons Inc. All rights reserved.

关键词： Stereo image processing

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Synergistic Cu single-atoms and clusters on tubular carbon nitride for efficient photocatalytic performances

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Rare Metals 2024年第11期43卷 5891-5904页

作者： Yu-Xiao Feng Hui-Jun Yu Tian-Guang Lu Zi-Ye Zheng Shuang Tian Li Xiang Shan Zhao Shu-Guang Wang Zuo-Li He Shandong Key Laboratory of Water Pollution Control and Resource Reuse School of Environmental Science and EngineeringShandong UniversityQingdao 266237China Weihai Research Institute of Industrial Technology of Shandong University Shandong UniversityWeihai 264209China School of Electrical Engineering Shandong UniversityJinan 250061China CEDAR Knight Cancer InstituteSchool of MedicineOregon Health and Science UniversityPortland 97201USA

Metal clusters or even single-atoms dispersed and anchored on the photocatalysts'surface can enhance photocatalytic performances on organic pollutant ***,a simple photoreduction method was used to create atomically dispersed metal single-atoms/clusters(MSCs,M=Cu,Pd,Au and Ag)on P-modulated tubular carbon nitride(TCN).The obtained MSCs@TCN demonstrated excellent photocatalytic performances for the degradation of sulfamethazine(SMZ).In particular,the photocatalyst with 2 wt%Cu loading showed ultrahigh SMZ oxidation efficiency(k=0.06110 min^(-1)),almost three times that of TCN(k=0.02066 min^(-1)).It also shows excellent stability in the 5th-cycle *** improved photocatalytic activity of the CuSCs@TCN is ascribed to the synergistic promotion of photogenerated charge separation by Cu single-atoms/clusters as active sites,accelerated charge transfer from bulk TCN to Cu sites through Cu-N_(x)***,the active sites of Cu single-atoms/clusters could promote the production of·O_(2)^(-),which participates in organic oxidation with strong oxidizing holes(h^(+)).This strategy paves a new avenue for designing high-performance photocatalysts decorated with metal single-atoms and clusters.

关键词： Carbon nitride Photocatalysis Cu single-atom Sulfamethazine Degradation

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A Study on the Mental Health Among Indian Population in the Post COVID-19 Pandemic Using Computational Intelligence 1

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5th International Conference on Advances in Distributed Computing and Machine Learning, ICADCML 2024

作者： Kumari, Nancy Acharjya, D.P. Ma, Yan School of Computer Science and Engineering VIT Bhopal University Bhopal India School of Computer Science and Engineering VIT Vellore India College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai200234 China

ISBN: (数字)9789819718412

ISBN: (纸本)9789819718405

Preventing mental health problems is an essential task for national and international organizations. Such entails the establishment of active information network indicators to assess the mental health of populations. About 21% of the global people suffering from depression, anxiety, isolation, loss of income, and fear are triggering mental health problems due to the COVID-19 pandemic. Therefore, it is essential to find out various factors that affect the mental health of people in India the post COVID-19 pandemic. A hybridized rough and whale optimization technique is used to study the mental health of people in the post pandemic of India. The proposed design contains three stages of implementation. In the very beginning, the data collected from primary sources are validated using structural equation modeling and partial least square. Further, in the second phase, the proposed rough whale optimization is employed to identify the chief parameters of the decision system. The reduced decision system is analyzed further using a rough set in the final phase. It is observed that the evaluations have drawn attention to the importance of mental disorders for public health. It, in turn, helps to reduce the risk of getting a mental disorder. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： COVID-19

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Finite-region H∞ filtering of 2D Markov jump systems with deception attacks 24

Finite-region H∞ filtering of 2D Markov jump systems with d...

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2nd International Conference on Frontiers of Intelligent Manufacturing and Automation, CFIMA 2024

作者： Wang, Guangyu Fang, Jiankang Ren, Chengcheng Wang, Longlong He, Shuping Zhang, Liang School of Computer Science and Technology Anhui University Hefei China School of Electrical Engineering and Automation Anhui University Hefei China

ISBN: (纸本)9798400710681

In this paper, we study the finite-region H∞ filtering problem for two dimensional (2D) Markov jump systems (MJSs) subject to deception attacks. First, the effect of deception attacks are considered and the filtering error is modeled. The sufficient conditions to ensure the stability of the filtering performance are obtained by using the Lyapunov function and linear matrix inequalities. Finally, the effectiveness of the method is verified by a numerical example on Darboux equation. © 2024 Copyright held by the owner/author(s).

关键词： Lyapunov functions

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Estimating the State of Health for Lithium-ion Batteries:A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach

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IEEE/CAA Journal of Automatica Sinica 2023年第7期10卷 1530-1543页

作者： Guijun Ma Zidong Wang Weibo Liu Jingzhong Fang Yong Zhang Han Ding Ye Yuan The School of Mechanical Science and Engineering Huazhong University of Science and TechnologyWuhan 430074China the College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China the Department of Computer Science Brunel University LondonUxbridgeMiddlesexUB83PHUnited Kingdom the School of Information Science and Engineering Wuhan University of Science and TechnologyWuhan 430081China the School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China

The state of health(SOH)is a critical factor in evaluating the performance of the lithium-ion batteries(LIBs).Due to various end-user behaviors,the LIBs exhibit different degradation modes,which makes it challenging to estimate the SOHs in a personalized *** this article,we present a novel particle swarm optimization-assisted deep domain adaptation(PSO-DDA)method to estimate the SOH of LIBs in a personalized manner,where a new domain adaptation strategy is put forward to reduce cross-domain distribution *** standard PSO algorithm is exploited to automatically adjust the chosen hyperparameters of developed DDA-based *** proposed PSODDA method is validated by extensive experiments on two LIB datasets with different battery chemistry materials,ambient temperatures and charge-discharge *** results indicate that the proposed PSO-DDA method surpasses the convolutional neural network-based method and the standard DDA-based *** Py Torch implementation of the proposed PSO-DDA method is available at https://***/mxt0607/PSO-DDA.

关键词： Deep transfer learning domain adaptation hyperparameter selection lithium-ion batteries(LIBs) particle swarm optimization state of health estimation(SOH)

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Computationally efficient reductions between some statistical models 36

Computationally efficient reductions between some statistica...

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36th International Conference on Algorithmic Learning Theory, ALT 2025

作者： Lou, Mengqi Bresler, Guy Pananjady, Ashwin School of Industrial and Systems Engineering Georgia Tech United States Department of Electrical Engineering and Computer Science MIT United States Schools of Industrial and Systems Engineering and Electrical and Computer Engineering Georgia Tech United States

We study the problem of approximately transforming a sample from a source statistical model to a sample from a target statistical model without knowing the parameters of the source model, and construct several computationally efficient such reductions between canonical statistical experiments. In particular, we provide computationally efficient procedures that approximately reduce uniform, Erlang, and Laplace location models to general target families. We illustrate our methodology by establishing nonasymptotic reductions between some canonical high-dimensional problems, spanning mixtures of experts, phase retrieval, and signal denoising. Notably, the reductions are structure-preserving and can accommodate missing data. We also point to a possible application in transforming one differentially private mechanism to another. © 2025 M. Lou, G. Bresler & A. Pananjady.

关键词： Differential privacy

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A novel approach to detect, analyze and block adversarial web pages

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International Journal of Information Technology (Singapore) 2024年第6期16卷 3617-3622页

作者： Kumar, M. Ranjith Naik, Darshana A. Kapila, Neha Mohan, Chinnem Rama Prasad, Ch Raghava Shelke, Chetan Rao, C. V. Guru School of Computer Science and Engineering Vellore Institute of Technology Department of Computer Science and Engineering M S Ramaiah Institute of Technology Department of Electronics and Electrical Engineering Lovely Professional University Department of Computer Science and Engineering Narayana Engineering College Electronics and Communication Engineering Koneru Lakshmaiah Education Foundation Alliance College of Engineering and Design Alliance University School of CS & amp AI SR Universtity

The phenomenon of distraction is very common, and its adverse effects are seen among people. The major cause underlying this issue is the ease with which adversarial web sites and web pages can be accessed. It is of utmost importance to locate, evaluate, and actively block such web pages in an effort to comprehensively and globally solve this societal issue. Thus, the given paper proposes an extension or plug-in to detect, analyze, and block websites smartly. The proposed approach takes keywords entered by the user as input into consideration, which eventually leads to the generation of web pages and web links. The filtering of web links is done by the proposed extension, followed by the extraction of features, the utilization of support vector machines (SVM) for binary classification, and the summarization of textual data using natural language processing (NLP). Lastly, the precise results corresponding to relevant web links are presented to the users, which will increase their productivity, thereby reducing their distraction levels under all working circumstances. The performance of the proposed approach is validated against existing recent studies based on evaluation metrics such as adversarial website detection time (ms) and accuracy (%). © Bharati Vidyapeeth's Institute of computer Applications and Management 2024.

关键词： Adversarial web pages Distraction Natural language processing (NLP) Support vector machine (SVM) Text summarization

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Active pixel image sensor array for dual vision using large-area bilayer WS_(2)

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InfoMat 2024年第4期6卷 68-82页

作者： Arindam Bala Mayuri Sritharan Na Liu Muhammad Naqi Anamika Sen Gyuchull Han Hyun Yeol Rho Youngki Yoon Sunkook Kim School of Advanced Materials Science and Engineering Sungkyunkwan UniversitySuwonRepublic of Korea Waterloo Institute for Nanotechnology(WIN) University of WaterlooWaterlooOntarioCanada Department of Electrical and Computer Engineering University of WaterlooWaterlooOntarioCanada

Transition metal dichalcogenides(TMDs)are a promising candidate for developing advanced sensors,particularly for day and night vision systems in vehicles,drones,and security *** traditional systems rely on separate sensors for different lighting conditions,TMDs can absorb light across a broad-spectrum *** this study,a dual vision active pixel image sensor array based on bilayer WS2 phototransistors was *** bilayer WS2 film was synthesized using a combined process of radio-frequency sputtering and chemical vapor *** WS2-based thin-film transistors(TFTs)exhibit high average mobility,excellent Ion/Ioff,and uniform electrical *** optoelectronic properties of the TFTs array exhibited consistent behavior and can detect visible to near-infrared light with the highest responsivity of 1821 A W1(at a wavelength of 405 nm)owing to the photogating ***,red,green,blue,and near-infrared image sensing capabilities of active pixel image sensor array utilizing light stencil projection were *** proposed image sensor array utilizing WS2 phototransistors has the potential to revolutionize the field of vision sensing,which could lead to a range of new opportunities in various applications,including night vision,pedestrian detection,various surveillance,and security systems.

关键词： dual vision image sensors infrared wavelength detection phototransistors thin-film transistor arrays transition metal dichalcogenides

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