Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Science最新文献

Sensitivity Analysis of a Portable Microwave Breast Cancer Detection System 便携式微波乳腺癌检测系统的灵敏度分析

Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Science Pub Date : 2020-08-01 DOI: 10.11159/icbes20.112

Muhammad Masud Rana, Debarati Nath, S. Pistorius

{"title":"Sensitivity Analysis of a Portable Microwave Breast Cancer Detection System","authors":"Muhammad Masud Rana, Debarati Nath, S. Pistorius","doi":"10.11159/icbes20.112","DOIUrl":"https://doi.org/10.11159/icbes20.112","url":null,"abstract":"A prototype portable breast microwave sensing (BMS) system for early breast cancer detection has been developed in our lab. In this paper, we provide preliminary results for the response of the antenna sensor array to a point scatterer, using both simulation and experiment. The portable system uses a horn antenna to transmit frequencies from 1.5 GHz to 6 GHz and a sensor array using thirteen patch antennas. The optimal separation of each antenna in the receiver array was calculated to be 4 mm based on an envelope correlation coefficient of 0.37. The BMS system, including the horn antenna, was designed in CST Microwave Studio to mimic the experimental setup. This study compares the E-field characteristics and DC voltages for each sensor, using simulation and experimental results, for both a free air system and with an Aluminum rod placed at different positions in the scanning plane. A 13×10 array of geometric correction constants was calculated from the simulated E-field. The range of difference between the simulated and experimental results was -4% to 3% for open space conditions and ±20% when an Aluminum rod was placed at different positions in the scanning plane. The preliminary results are promising and provide some insight as to where improvements must be made to enhance the detection ability of the portable system.","PeriodicalId":377357,"journal":{"name":"Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129336233","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

Classification Methods for Hate Speech Diffusion: Detecting theSpread of Hate Speech on Twitter 仇恨言论扩散的分类方法:检测Twitter上仇恨言论的传播

Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Science Pub Date : 2020-08-01 DOI: 10.11159/cist20.105

Matthew Beatty

引用次数: 1

A Hands-on Project for Teaching Semantic Web Technologies in an Undergraduate AI Course 在本科人工智能课程中教授语义网技术的实践项目

Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Science Pub Date : 2020-08-01 DOI: 10.11159/cist20.101

N. Zlatareva

{"title":"A Hands-on Project for Teaching Semantic Web Technologies in an Undergraduate AI Course","authors":"N. Zlatareva","doi":"10.11159/cist20.101","DOIUrl":"https://doi.org/10.11159/cist20.101","url":null,"abstract":"- The latest advances in Semantic Web technologies suggest an accelerating emergence of new exciting Artificial Intelligence applications that are expected to dramatically extend and improve current web services. Yet, these new technologies are outside the scope of undergraduate computer science curriculum. This paper presents our experience with introducing a hands-on project intended to teach Linked Data and Semantic Web as part of an undergraduate Artificial Intelligence course. The project is intended to achieve the following: 1.) Demonstrate the evolution of Knowledge Engineering into Ontological Engineering; 2.) Introduce students to Semantic Web technologies and tools such as ontology editor Protégé, Web Ontology Language (OWL), Semantic Web Rule Language (SWRL), and query language SPARQL; 3.) Extend the topic on reasoning into Description Logics and demonstrate the advantages of their inferencing capabilities; 4.) Use OWL and SWRL to compare descriptive and rule-based reasoning frameworks and show how their integration can improve the efficiency and the semantic adequacy of applications; 5.) Illustrate the Linked Data principles in a practical setting. Limited assessment of the pedagogical value of this project based on student learning outcomes suggests that it enhances students’ understanding of the core AI topics, boosts their engagement and interest in the course, but more importantly introduces them to the newest advances in web application development.","PeriodicalId":377357,"journal":{"name":"Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Science","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121059588","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

Optimized 3D Segmentation Algorithm for Shelly Sand Images 雪莉沙图像的优化三维分割算法

Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Science Pub Date : 2020-08-01 DOI: 10.11159/cist20.107

Antonio Leonti, J. Fonseca, I. Valova, R. Beemer, Devin Cannistraro, C. Pilskaln, Dylan DeFlorio, Grayson Kelly

{"title":"Optimized 3D Segmentation Algorithm for Shelly Sand Images","authors":"Antonio Leonti, J. Fonseca, I. Valova, R. Beemer, Devin Cannistraro, C. Pilskaln, Dylan DeFlorio, Grayson Kelly","doi":"10.11159/cist20.107","DOIUrl":"https://doi.org/10.11159/cist20.107","url":null,"abstract":"There is much to be gained from analysing and studying calcareous sediment, with applications ranging from the study of climate change, rock dating, and even building offshore oil rigs and wind farms. One way of performing this analysis is to obtain a µCT scan of the sediment, allowing scientists and engineers to automate much of their analysis using software. Many existing and prospective analysis techniques require handling individual grains. Thus, fast and effective segmentation is an essential first step for any such analysis. Segmentation is non-trivial; these scans hold a lot of information, exhibit ambiguous boundaries between objects, and many objects are hollow, making it even more difficult to apply traditional watershed segmentation. Addressing these issues, in this paper we propose an optimized 3D segmentation (O3DS) algorithm based on watersheds. We make use of branch recursion, partition the image by height prior to segmentation, artificially reducing the size of the largest connected objects. These and additional changes are extremely effective in optimizing performance; O3DS reduces the time to segment a 659x925x932 scan of sediment by 95.4% and produces better or comparable results when compared to similar implementation by our co-author.","PeriodicalId":377357,"journal":{"name":"Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Science","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133148648","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

Mathematical Tools for Processing Broadband Multi-Sensor Signals 处理宽带多传感器信号的数学工具

Proceedings of the 6th World Congress on Electrical Engineering and Computer Systems and Science Pub Date : 2020-06-01 DOI: 10.11159/mhci20.104

Stephan Weiss

引用次数: 2