Search Results - "2021 8th International Conference on Dependable Systems and Their Applications (DSA)"

Detection and Mitigation of Label-Flipping Attacks in Federated Learning Systems with KPCA and K-Means by Li, Dongcheng, Wong, W. Eric, Wang, Wei, Yao, Yao, Chau, Matthew

“…Federated learning is a popular machine-learning technique that is often preferred due to its efficiency and data privacy. However, federated-learning systems…”
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ComFormer: Code Comment Generation via Transformer and Fusion Method-based Hybrid Code Representation by Yang, Guang, Chen, Xiang, Cao, Jinxin, Xu, Shuyuan, Cui, Zhanqi, Yu, Chi, Liu, Ke

“…Developers often write low-quality code comments due to the lack of programming experience, which can reduce the efficiency of developers' program…”
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A Survey on Autonomous Driving Datasets by Liu, Weiyu, Dong, Qian, Wang, Pengqi, Yang, Guang, Meng, Lingzhong, Song, You, Shi, Yuan, Xue, Yunzhi

“…Currently the autonomous driving is one of the rapidly developing and widely concerned fields, which involves numerous artificial intelligence algorithms…”
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Use of Deep Learning Model with Attention Mechanism for Software Fault Prediction by Yu, Ting-Yan, Huang, Chin-Yu, Fang, Neil C.

“…Software defect prediction is a skill in software engineering that can increase program reliability. In the past, most defect prediction studies have been…”
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Survey on Autonomous Vehicle Simulation Platforms by Yang, Guang, Xue, Yunzhi, Meng, Lingzhong, Wang, Pengqi, Shi, Yuan, Yang, Qinghong, Dong, Qian

“…With the development of the autonomous vehicle, traditional testing tools and methods for the automotive industry can no longer meet the needs of autonomous…”
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An Optimal Resource Scheduling of Debris Monitoring using Particle Swarm Algorithm with Constriction Factor by Song, Tao, Wang, Wei, Li, Dongcheng, Zhao, Yining

“…Space debris that is vast in quantity leads to serious problems such as hidden threats to orbiting spacecraft. In such a context, effectively allocating…”
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A Combination of Fourier Transform and Machine Learning for Fault Detection and Diagnosis of Induction Motors by Duc Nguyen, Van, Zwanenburg, Ewout, Limmer, Steffen, Luijben, Wessel, Back, Thomas, Olhofer, Markus

“…Induction motors are widely used in different indus-try areas and can experience various kinds of faults in stators and rotors. In general, fault detection and…”
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Analysing Experimental Results Obtained when Applying Search-based Testing to Verify Automated Driving Functions by Kluck, Florian, Wotawa, Franz, Neubauer, Gerhard, Tao, Jianbo, Nica, Mihai

“…Assuring safety in case of automated and autonomous driving is of uttermost importance requiring exhaustive search for critical scenarios allowing to reveal…”
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Deep Reinforcement Learning based Adaptive Real-Time Path Planning for UAV by Li, Jiankang, Liu, Yang

“…Real-time path planning typically aims to obtain a collision-free and shorter path with lower computational complexity for UAVs in unknown environment. Apart…”
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An Empirical Study on Spectral Clustering-based Software Defect Detection by Qing, Mingshuang, Ge, Xiuting, Hui, ZhanWei, Pan, Ya, Fan, Yong, Wang, Xiaojuan, Cao, Xu

“…Software defect detection is essential in software development. Most existing approaches often apply Supervised Machine Learning (SML) techniques for software…”
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Signal Modulation Recognition based on Convolutional Autoencoder and Time-Frequency Analysis by Wu, Xiangyu, Zhang, Jing, Hou, Changbo, Liu, Guowei, Zhang, Jie, Liu, Jin

“…With the development of communication technology, patterns of communication signals have become more complex and diverse. Therefore, the technology of…”
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A Mutation-based Approach to Repair Deep Neural Network Models by Wu, Huanhuan, Li, Zheng, Cui, Zhanqi, Zhang, Jiaming

“…Due to insufficient accuracy, defects in deep neural network models may cause serious consequences. How to detect the defects by testing and verification has…”
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Plum: Exploration and Prioritization of Model Repair Strategies for Fixing Deep Learning Models by Zhang, Hao, Chan, W.K.

“…The accuracy of DL models may not meet the user's expectations. To tackle this problem, existing work proposed diverse approaches, such as using more optimized…”
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A Coverage-Guided Fuzzing Framework based on Genetic Algorithm for Neural Networks by Yi, Gaolei, Yang, Xiaoyu, Huang, Pu, Wang, Yichen

“…Due to the inherent difference between neural network and traditional software, it is very difficult to test it. At present, the use of fuzzing methods may be…”
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Radar Signal Separation Recognition Method based on Semantic Segmentation by Ai, Jiajun, Hua, Lijie, Liu, Jin, Chen, Shunshun, Xu, Yongjian, Hou, Changbo

“…With the increasing application of electronic technology in military field, electronic countermeasure technology has been developed gradually. The separation…”
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A Method of Random Forest Classification based on Fuzzy Comprehensive Evaluation by Zhu, Jing, Huang, Song, Shi, Yaqing, Wu, Kaishun, Wang, Yanqiu

“…At present, the method of random forest classification is one of the most common classifier. However, when there are many attributes in the acquired data set…”
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MFRL-CA: Microservice Fault Root Cause Location based on Correlation Analysis by Chen, YuHua, Chen, NingJiang, Xu, WenXiu, Lian, LinMing, Tu, Huan

“…With the expansion of the scale of microservice applications, its dynamic update and complex dependency call relations increase the probability of failure and…”
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A Model-based Test Cases Generation Method for Spacecraft Software by Tian, Ye, Yin, Beibei, Li, Chenglong

“…In order to systematically generate sufficient test scenes for the spacecraft's controller software, an automatic model-based test cases generation method is…”
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Small Sample Electromagnetic Signal Recognition based on Time Series Data Augmentation by Wang, Xinrui, Lin, Yun

“…With the rapid development of science, technology and industry, the electromagnetic environment becomes more and more complex. The acquisition of information…”
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Software Defect Prediction for Specific Defect Types based on Augmented Code Graph Representation by Xu, Jiaxi, Ai, Jun, Shi, Tao

“…In a software life cycle, improving quality and identifying and repairing defects has become an important research topic. Previous studies have proposed defect…”
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