2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT)最新文献_第2页

The Effects of Pilot-based Carrier Phase Estimation on Performance of Coherently Detected Signals Propagating in TWDP Channels 基于导频的载波相位估计对TWDP信道中相干检测信号传播性能的影响

2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT) Pub Date : 2022-06-16 DOI: 10.1109/ICAT54566.2022.9811189

Pamela Njemcevic, Enio Kaljic, A. Maric

引用次数: 0

Application of Machine Learning for GUI Test Automation 机器学习在GUI测试自动化中的应用

2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT) Pub Date : 2022-06-16 DOI: 10.1109/ICAT54566.2022.9811187

Ritu Walia

{"title":"Application of Machine Learning for GUI Test Automation","authors":"Ritu Walia","doi":"10.1109/ICAT54566.2022.9811187","DOIUrl":"https://doi.org/10.1109/ICAT54566.2022.9811187","url":null,"abstract":"This paper examines the implementation of machine learning (ML) capabilities in a test automation suite, specifically for automation of graphical user interface (GUI) testing on an electronic design automation (EDA) tool within an integrated circuit (IC) physical design, verification, and implementation flow. We present a case study using existing tests to extract information and propose an ML implementation framework that consists of three modules, which can be adopted as a systematic pattern for test development. Our study focusses on implementation of the third module in this framework. We use the learnings from iterative testing patterns on a set of EDA tools provided by the Calibre RealTime interfaces from Siemens Digital Industries Software. The goal is to reduce human effort in selection and implementation of test cases and reallocate those resources to integral parts of the testing process like, approving and acting. We first establish metrics and variables, utilize VGG16 architecture for image classification and perform training on test data, and achieve an ML model based on accuracy and precision. Using this result, we present ML implementation as part of the script development process and analyze its impact. Based on our results, we conclude the third module of a framework for inclusion of ML in a regression testing suite for GUI test automation.","PeriodicalId":414786,"journal":{"name":"2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123972836","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

No Need to be Online to Attack - Exploiting S7-1500 PLCs by Time-Of-Day Block 不需要在线攻击-利用S7-1500 plc的时间块

2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT) Pub Date : 2022-06-16 DOI: 10.1109/ICAT54566.2022.9811147

Wael Alsabbagh, P. Langendörfer

{"title":"No Need to be Online to Attack - Exploiting S7-1500 PLCs by Time-Of-Day Block","authors":"Wael Alsabbagh, P. Langendörfer","doi":"10.1109/ICAT54566.2022.9811147","DOIUrl":"https://doi.org/10.1109/ICAT54566.2022.9811147","url":null,"abstract":"In this paper, we take the attack approach introduced in our previous work [8] one more step in the direction of exploiting PLCs offline, and extend our experiments to cover the latest and most secured Siemens PLCs line i.e. S7-1500 CPUs. The attack scenario conducted in this work aims at confusing the behavior of the target system when malicious attackers are not connected neither to the victim system nor to its control network at the very moment of the attack. The new approach presented in this paper is comprised of two stages. First, an attacker patches the PLC with a specific interrupt block, Time-of-Day, once he manages successfully to access/compromise an exposed PLC. Then he triggers the block at a later time the attacker wishes when he is completely offline i.e., disconnected to the control network. For a real-world implementation, we tested our approach on a Fischertechnik system using an S7-1500 CPU that supports the newest version of the S7CommPlus protocol i.e. S7CommPlus v3. Our experimental results showed that we could infect the target PLC successfully and conceal our malicious interrupt block in the PLC memory until the very moment we already determined. This makes our attack stealthy as the engineering station can not detect that the PLC got infected. Finally, we presented security and mitigation methods to prevent such a threat.","PeriodicalId":414786,"journal":{"name":"2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117281227","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: 2

Graph Theory as an Engine for Real-Time Advanced Distribution Management System Enhancements 图论作为实时高级配电管理系统增强的引擎

2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT) Pub Date : 2022-06-16 DOI: 10.1109/ICAT54566.2022.9811233

I. Džafić

{"title":"Graph Theory as an Engine for Real-Time Advanced Distribution Management System Enhancements","authors":"I. Džafić","doi":"10.1109/ICAT54566.2022.9811233","DOIUrl":"https://doi.org/10.1109/ICAT54566.2022.9811233","url":null,"abstract":"Graphs could be used to illustrate a wide range of practical challenges. The word network is usually used to denote a graph in which the elements are associated with the vertices and edges, emphasizing its relevance to power systems. This paper focuses on two common graph theory applications in Advanced Distribution Management Systems (ADMS): topology tracing and fast gain matrix computing. Topology tracing is a critical component of any ADMS. Its primary function is to generate a branch-node model by traversing branches and closed switches. The gain matrix is built during each iteration of the weighted least squares (WLS) state estimation method, which utilizes the normal equations technique. The gain matrix is sparse with a nonzero structure that remains unchanged throughout iterations. This study describes a method for predicting the nonzero structure of the gain matrix directly from the network graph and measurement locations. The suggested method for computing the gain matrix is at least seven times faster than the MATLAB built-in implementation, making it suitable for constructing efficient real-time power system state estimation software for ADMS.","PeriodicalId":414786,"journal":{"name":"2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116077709","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

Application of artificial neural networks in diagnosis of Hepatitis C 人工神经网络在丙型肝炎诊断中的应用

2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT) Pub Date : 2022-06-16 DOI: 10.1109/ICAT54566.2022.9811126

Amela Drobo, L. S. Becirovic, L. G. Pokvic, Lucija Dzambo, E. Becic, A. Badnjević, Majda Dogic, Alisa Smajovic

{"title":"Application of artificial neural networks in diagnosis of Hepatitis C","authors":"Amela Drobo, L. S. Becirovic, L. G. Pokvic, Lucija Dzambo, E. Becic, A. Badnjević, Majda Dogic, Alisa Smajovic","doi":"10.1109/ICAT54566.2022.9811126","DOIUrl":"https://doi.org/10.1109/ICAT54566.2022.9811126","url":null,"abstract":"Hepatitis C is an inflammatory condition of the liver caused by the hepatitis C virus. Diagnosis of the disease itself is difficult because the incubation period is long, often the disease is initially without some characteristic symptoms, but also due to a lack of laboratory methods. Artificial intelligence is increasingly being used nowadays to make it easier and faster to assess the illness. As hepatitis C is a rising healthcare burden it is of utmost importance to construct effective and reliable screening methods. As AI has already proven useful for diagnosis of a variety of conditions based on clinical parameters, this study focuses on the application of artificial neural network (ANN) for hepatitis C diagnosis. In this study, a database of 1000 respondents divided into two groups was used to develop the ANN: healthy (n = 200) and sick (n = 800). Monitoring parameters were: albumin, alkaline phosphatase, alanine aminotransferase, aspartate aminotransferase, bilirubin, acetylcholinesterase and anti-HCV antibodies. The overall accuracy of the developed ANN was 97,78%, which indicates that the potential of artificial intelligence in diagnosing hepatitis C is enormous, and in the future, attention should be paid to the development of new systems with as much data as possible.","PeriodicalId":414786,"journal":{"name":"2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124770034","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

Usage of user hate speech index for improving hate speech detection in Twitter posts 使用用户仇恨言论索引改进Twitter帖子中的仇恨言论检测

2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT) Pub Date : 2022-06-16 DOI: 10.1109/ICAT54566.2022.9811159

Ehlimana Krupalija, D. Donko, H. Supic

{"title":"Usage of user hate speech index for improving hate speech detection in Twitter posts","authors":"Ehlimana Krupalija, D. Donko, H. Supic","doi":"10.1109/ICAT54566.2022.9811159","DOIUrl":"https://doi.org/10.1109/ICAT54566.2022.9811159","url":null,"abstract":"Social media is an important source of real-world data for sentiment analysis. Hate speech detection models can be trained on data from Twitter and then utilized for content filtering and removal of posts which contain hate speech. This work proposes a new algorithm for calculating user hate speech index based on user post history. Three available datasets were merged for the purpose of acquiring Twitter posts which contained hate speech. Text preprocessing and tokenization was performed, as well as outlier removal and class balancing. The proposed algorithm was used for determining hate speech index of users who posted tweets from the dataset. The preprocessed dataset was used for training and testing multiple machine learning models: k-means clustering without and with principal component analysis, naïve Bayes, decision tree and random forest. Four different feature subsets of the dataset were used for model training and testing. Anomaly detection, data transformation and parameter tuning were used in an attempt to improve classification accuracy. The highest F1 measure was achieved by training the model using a combination of user hate speech index and other user features. The results show that the usage of user hate speech index, with or without other user features, improves the accuracy of hate speech detection.","PeriodicalId":414786,"journal":{"name":"2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130568933","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

Mixed-criticality communication scheme for networked mobile robots 网络化移动机器人混合临界通信方案

2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT) Pub Date : 2022-06-16 DOI: 10.1109/ICAT54566.2022.9811180

Shaban Guma, A. Sezgin, N. Bajçinca

引用次数: 0

Real-Time Estimation of Instantaneous Power System Fundamental Frequency 电力系统瞬时基频的实时估计

2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT) Pub Date : 2022-06-16 DOI: 10.1109/ICAT54566.2022.9811177

Vedin Klovo, H. Lačević, I. Džafić

{"title":"Real-Time Estimation of Instantaneous Power System Fundamental Frequency","authors":"Vedin Klovo, H. Lačević, I. Džafić","doi":"10.1109/ICAT54566.2022.9811177","DOIUrl":"https://doi.org/10.1109/ICAT54566.2022.9811177","url":null,"abstract":"Instantaneous frequency measurement is a critical component of power system control and automation. Recently, electric power distribution networks with a high proportion of renewable energy have been subjected to unprecedented complexity, necessitating more complicated automation solutions. The major reasons for frequency changes include the usage of dispersed generation, the connection of non-linear loads, and the occurrence of some unforeseen system problems. This paper presents two DFT-based power system frequency measuring algorithms. It considers frequency variations from the system’s fundamental frequency, as well as the noise generated by analog to digital converters (ADC). The IEEE Phasor Measurement Unit (PMU) latest Standard specification (IEC/IEEE 60255-118-1:2018) is used to examine these two methodologies. The methodologies are evaluated using test signals that are required to provide PMU quality evaluation and classification while accounting for process noise, ADC conversion noise, and dynamically changing input voltage and current signals. The tradeoff between DFT simplicity in implementation and needed complexity of power systems is put to the test by abrupt variations in frequency and amplitude of the fundamental component.","PeriodicalId":414786,"journal":{"name":"2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT)","volume":"484 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132334536","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

Semantic Visual Segmentation of a Mobile Robot Environment Using Deep Learning Model

2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT) Pub Date : 2022-06-16 DOI: 10.1109/ICAT54566.2022.9811165

J. Velagić, Vedin Klovo, H. Lačević

引用次数: 0

Development of Correction Models for Three-Electrode NO2 Electrochemical Sensor 三电极NO2电化学传感器校正模型的建立

2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT) Pub Date : 2022-06-16 DOI: 10.1109/ICAT54566.2022.9811215

Adis Panjevic, T. Uzunović, Baris Can Ustundag

引用次数: 0