2022 9th International Conference on Dependable Systems and Their Applications (DSA)最新文献_第8页

Multi-scale Graph Aggregation based Ship Target Recognition 基于多尺度图聚合的船舶目标识别

2022 9th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2022-08-01 DOI: 10.1109/DSA56465.2022.00102

Weiwen Cui, Ziwei Wang, Huiling Zhao, Cong Xia, Xing Xu, Zhanyun Feng, Weijie Wu, Yuanjie Hao, Jie Li, Jin Wang, Jiale Chen

{"title":"Multi-scale Graph Aggregation based Ship Target Recognition","authors":"Weiwen Cui, Ziwei Wang, Huiling Zhao, Cong Xia, Xing Xu, Zhanyun Feng, Weijie Wu, Yuanjie Hao, Jie Li, Jin Wang, Jiale Chen","doi":"10.1109/DSA56465.2022.00102","DOIUrl":"https://doi.org/10.1109/DSA56465.2022.00102","url":null,"abstract":"The deep learning method for ship recognition on remote sensing images has the advantages of high efficiency and high precision. However, traditional ship detection methods have two shortcomings: 1) The convolution receptive field used for feature extraction is fixed, which is difficult to be compatible with the feature extraction of multi-scale objects, resulting in the distortion of some object features. 2) Traditional pixel-based methods lack object-level integrity in identifying object contours in complex scenes. This paper proposes a multi-scale ship target recognition model (mGAT), which realizes the dynamic extraction of multi-scale object features through a multi-scale feature fusion convolution network based on gating mechanism, and combines the idea of graph aggregation in GAT to propagate the object feature information. Experiments show that, compared with traditional semantic segmentation methods, the proposed method can effectively improve the recognition accuracy of multi-scale ships and other objects in the scene.","PeriodicalId":208148,"journal":{"name":"2022 9th International Conference on Dependable Systems and Their Applications (DSA)","volume":"511 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115345360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generating Autonomous Driving Test Scenarios based on OpenSCENARIO 基于OpenSCENARIO的自动驾驶测试场景生成

2022 9th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2022-08-01 DOI: 10.1109/DSA56465.2022.00093

He Chen, Hongping Ren, Rui Li, Guang Yang, Shanshan Ma

{"title":"Generating Autonomous Driving Test Scenarios based on OpenSCENARIO","authors":"He Chen, Hongping Ren, Rui Li, Guang Yang, Shanshan Ma","doi":"10.1109/DSA56465.2022.00093","DOIUrl":"https://doi.org/10.1109/DSA56465.2022.00093","url":null,"abstract":"At present, with the rapid development of autonomous driving technology, simulation test has become an important means of autonomous driving technology verification and evaluation due to its high-test efficiency, strong repeatability, low cost, and process safety. However, the parameters in the test scenarios in the current simulation test are all fixed values, the test is only a discrete test, and a comprehensive test of the entire parameter space is lacking. Therefore, this paper proposes a generating method of autonomous driving test scenarios based on OpenSCENARIO and constructs a test scenario including parameter space. This method automatically builds the test scenario by constructing the configuration file of the test scenario and writing Python scripts. When executing the test scenario, the road elements, weather elements and traffic participant elements are used to screen the test scenarios that conform to the operation design domain of the autonomous driving, and the autonomous driving function is tested and verified through the Carla simulation platform. Finally, a test scenario is built for the lane keeping function. Experiments show that the test scenarios constructed automatically in this paper can not only meet the needs of autonomous driving simulation test, but also simplify the writing of test scenarios and greatly improve the efficiency of scenario construction.","PeriodicalId":208148,"journal":{"name":"2022 9th International Conference on Dependable Systems and Their Applications (DSA)","volume":"268 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115680998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Software Operation Simulation Method based On Complex Network Game 基于复杂网络博弈的软件运行仿真方法

2022 9th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2022-08-01 DOI: 10.1109/DSA56465.2022.00090

Xiaoying Huang, Rui Yin, Wu Liu, Hong Zhang

引用次数: 0

Named Entity Recognition in Chinese E-commerce Domain Based on Multi-Head Attention 基于多头关注的中文电子商务领域命名实体识别

2022 9th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2022-08-01 DOI: 10.1109/DSA56465.2022.00083

Hongliang Mao, Azragul Yusup, Yifei Ge, Degang Chen

{"title":"Named Entity Recognition in Chinese E-commerce Domain Based on Multi-Head Attention","authors":"Hongliang Mao, Azragul Yusup, Yifei Ge, Degang Chen","doi":"10.1109/DSA56465.2022.00083","DOIUrl":"https://doi.org/10.1109/DSA56465.2022.00083","url":null,"abstract":"At present, the demand for entity recognition for product query and product recommendation systems of e-commerce domain is growing. Traditional methods that rely on experts to define artificial features and domain knowledge can no longer meet the needs of the domain due to their low recognition accuracy. According to the above background, a Chinese named entity recognition method in the e-commerce domain that incorporates a multi-headed attention mechanism and bidirectional long-short term memory network is proposed. A word vector represents the product title statements of e-commerce platforms. The generated word vector sequences are fed into a bi-directional long-short term memory network that mines their contextual semantic features. A multi-headed attention mechanism is introduced to focus on the entity words in the text to unearth their hidden features. In contrast, the entity recognition results are labeled by calculating the joint probability of sequence labels through conditional random fields. The experimental data show that the method can reach 86.16% accuracy and 86.57% F1 value for entity recognition in the e-commerce domain, which is practical and feasible.","PeriodicalId":208148,"journal":{"name":"2022 9th International Conference on Dependable Systems and Their Applications (DSA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132410018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Security Pattern Detection Through Diagonally Distributed Matrix Matching 基于对角分布矩阵匹配的安全模式检测

2022 9th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2022-08-01 DOI: 10.1109/DSA56465.2022.00059

A. Alvi, Mohammad Zulkernine

{"title":"Security Pattern Detection Through Diagonally Distributed Matrix Matching","authors":"A. Alvi, Mohammad Zulkernine","doi":"10.1109/DSA56465.2022.00059","DOIUrl":"https://doi.org/10.1109/DSA56465.2022.00059","url":null,"abstract":"Security requirements should be realized in the design phase of a secure software system. Security patterns are artifacts used to implement security requirements as to security controls and features. The strength in the security of software systems is directly proportional to the number of security patterns used. We can use the number of existing security patterns to measure the security strength of software systems. Therefore, early detection of the absence of security patterns or non-standard security features will tremendously reduce development and maintenance costs. We first convert the security patterns and the software system model into graphs and store them as matrices in the security pattern detection process. Then, we explore and detect security patterns inside the software system using a matching technique. Finally, we remove false positives with the help of a semantic analysis technique. This paper proposes a diagonally distributed matrix matching (DDMM) technique for detecting security patterns. The detection technique uses a standard security pattern matrix (SPM). It selects the main diagonal of the SPM. Then compares it for matching with the diagonals of the target system matrix (TSM) using all possible combinations of diagonal elements. A security pattern detection tool is implemented based on the proposed DDMM technique. The experimental results show sufficient detection accuracy and reasonable time consumption for five java-based software projects with zero false positives.","PeriodicalId":208148,"journal":{"name":"2022 9th International Conference on Dependable Systems and Their Applications (DSA)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131398860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative Analysis of Information Leakage Hardware Trojans in IP Cores IP核中信息泄露硬件木马的定量分析

2022 9th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2022-08-01 DOI: 10.1109/DSA56465.2022.00063

Senjie Zhang, Shuai Wang, Jinbo Wang, Shan Zhou, Zhaohui Yao

引用次数: 1

Software Reliability Evaluation System of Ship Information Management System 船舶信息管理系统软件可靠性评估系统

2022 9th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2022-08-01 DOI: 10.1109/DSA56465.2022.00019

Xueqing Li, Maoyuan Ma, Jing Zhang, Hanting Zhao, Wenxiu Zhang, Zixin Liu

引用次数: 0

Autonomous Evaluation Method of Unmanned Equipment based on OODA-I Framework 基于OODA-I框架的无人装备自主评估方法

2022 9th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2022-08-01 DOI: 10.1109/DSA56465.2022.00078

Junshan Xue, Yu Jiang

引用次数: 0

Improving Code Clone Detection Accuracy and Efficiency based on Code Complexity Analysis 基于代码复杂度分析提高代码克隆检测的准确性和效率

2022 9th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2022-08-01 DOI: 10.1109/DSA56465.2022.00017

Haochen Jin, Zhanqi Cui, Shifan Liu, Liwei Zheng

引用次数: 1

A UAV Cooperative Formation Capability Evaluation Method 一种无人机协同编队能力评估方法

2022 9th International Conference on Dependable Systems and Their Applications (DSA) Pub Date : 2022-08-01 DOI: 10.1109/DSA56465.2022.00091

PengQi Wang, Yuan Shi, LingZhong Meng, Shuting Kang, Yunzhi Xue, Liangliang Yu

引用次数: 0