2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)最新文献

User Centred design Methods in Animal Centred Design: A systematic review 以用户为中心的设计方法在动物为中心的设计:一个系统的回顾

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE) Pub Date : 2022-09-29 DOI: 10.1109/ICTACSE50438.2022.10009842

Ahmed Al-S’di

引用次数: 1

A Novel Fixed-time Observer-based Sliding Mode Controller for Nonlinear Underactuated Hovercraft 一种基于定时观测器的非线性欠驱动气垫船滑模控制器

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE) Pub Date : 2022-09-29 DOI: 10.1109/ICTACSE50438.2022.10009718

A. S. S. Abadi, A. Hameed, A. Ordys, K. Kukiełka, P. A. Hosseinabadi, Barbara K. Pierscionek

引用次数: 0

An Analysis Tool that Detects The Code Caves in Specified Sizes for Portable Executable Files 一种检测可移植可执行文件指定大小的代码洞的分析工具

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE) Pub Date : 2022-09-29 DOI: 10.1109/ICTACSE50438.2022.10009843

Güney Uğurlu, K. Açıcı

引用次数: 0

A Study of Stabilization and Swing-up Linear Control for a Single Link Rotary Pendulum 单杆回转摆的稳定与起摆线性控制研究

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE) Pub Date : 2022-09-29 DOI: 10.1109/ICTACSE50438.2022.10009648

Zied Ben Hazem, Z. Bingül

{"title":"A Study of Stabilization and Swing-up Linear Control for a Single Link Rotary Pendulum","authors":"Zied Ben Hazem, Z. Bingül","doi":"10.1109/ICTACSE50438.2022.10009648","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009648","url":null,"abstract":"Single link rotary inverted pendulum (SLRIP) is a highly nonlinear control system that has complex dynamic behavior. This type of system requires a high-performance controller for its control. The rotary pendulum system is present as a control problem challenge because the system often moves to an uncontrolled state. The problem consists to balance one or more attached pendulums vertically in the upward position on a rotational arm which has a single degree of freedom and turns horizontally on only one axis. The aim is to find a control strategy that provides accurate performance with respect to the angles of the pendulums and the horizontal arm. This paper proposes a study of a PID, Linear Quadratic Regulator (LQR) stabilization control, and swing-up linear control based on LQR. The gains of the PID and LQR controllers are optimized by using the particle swarm optimization (PSO) algorithm to provide more robust controllers. A dynamic mechanical simulation study was conducted on MATLAB/SimMechanics obtained by the designed 3D-CAD models of the SLRIP. According to experimental results, the systems demonstrate the efficiency and robustness of all controllers.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121650887","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

Efficient Strategy for Multi-UAV Path Planning in Target Coverage Problems 目标覆盖问题中多无人机路径规划的高效策略

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE) Pub Date : 2022-09-29 DOI: 10.1109/ICTACSE50438.2022.10009728

Y. V. Pehlivanoglu, I. Bekmezci, Perihan Pehlivanoğlu

引用次数: 0

Joint Control Implementation of 4-DOF Robotic Arm Using Robot Operating System 基于机器人操作系统的四自由度机械臂关节控制实现

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE) Pub Date : 2022-09-29 DOI: 10.1109/ICTACSE50438.2022.10009733

Zied Ben Hazem, Resul Ince, S. Dilibal

{"title":"Joint Control Implementation of 4-DOF Robotic Arm Using Robot Operating System","authors":"Zied Ben Hazem, Resul Ince, S. Dilibal","doi":"10.1109/ICTACSE50438.2022.10009733","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009733","url":null,"abstract":"The paper describes the joint position control implementation for 4 degrees of freedom (4-DOFs) robot manipulator with a robot operating system (ROS) that may be used for robotics courses. ROS contains various plugins and software packages for robots' data analysis used in robotic engineering education. To accomplish the position control of joints using the ROS, the connection between the Arduino controller board and ROS was created. Moreover, using the Arduino controller board, all motors of the 4-DOFs arm robot are controlled using a PID controller. The forward and inverse kinematic models for the 4-DOFs robot manipulator are also developed based on the Denavit-Hartenberg (DH) method. The obtained DH parameters were used in the 3D kinematic model trajectory provided by the RoboAnalyzer software to determine the position, velocity, and acceleration plots for each joint. The direct and inverse kinematic models are used in the implementation of the position controller. The results further indicate that the proposed position control using the PID controller in ROS returns accurate tracking results in terms of minimum root mean squared errors (RMSEs) that can be used in the control of any industrial robot.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133599771","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

Implementation of Code Integrity Check Module for RISC-V Architecture with AES 基于AES的RISC-V架构代码完整性校验模块的实现

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE) Pub Date : 2022-09-29 DOI: 10.1109/ICTACSE50438.2022.10009686

Şafak Tülemez, D. Altilar

{"title":"Implementation of Code Integrity Check Module for RISC-V Architecture with AES","authors":"Şafak Tülemez, D. Altilar","doi":"10.1109/ICTACSE50438.2022.10009686","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009686","url":null,"abstract":"Embedded applications are commonly used in different fields. Different kinds vulnerabilities can occur in embedded systems because of various reasons such as coding bugs or security attacks. Most of security vulnerabilities can occur during coding phase of an embedded application. During the design phase of a program, different types of coding bugs can be inserted to executable. On the other hand, even if the executable program is very well coded, many different kinds of vulnerabilities can also occur at runtime. In this thesis, we aim to provide a security application which controls integrity of running program in computer. Executable binary of a program consists of data and text sections. CPU fetches and executes instructions in the text section of a program. Each instruction block is firstly placed into instruction cache of CPU. Instruction block hashes are generated after compiler phase of a program. Then, during the runtime phase instruction block hashes are recalculated and compared with compiler phase hash. We aim to prevent running of a corrupted or manipulated program during runtime phase.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125040514","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

A Study of Disease Prediction on Weighted Symptom Data Using Deep Learning and Machine Learning Algorithms 基于深度学习和机器学习算法的加权症状数据疾病预测研究

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE) Pub Date : 2022-09-29 DOI: 10.1109/ICTACSE50438.2022.10009857

Melike Çolak, Talya Tümer Sivri, Nergis Pervan Akman, A. Berkol, Yahya Eki̇ci̇

{"title":"A Study of Disease Prediction on Weighted Symptom Data Using Deep Learning and Machine Learning Algorithms","authors":"Melike Çolak, Talya Tümer Sivri, Nergis Pervan Akman, A. Berkol, Yahya Eki̇ci̇","doi":"10.1109/ICTACSE50438.2022.10009857","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009857","url":null,"abstract":"Artificial intelligence has gained significant power in the health sector with the increase in electronic data obtained from biomedical and health services. This large data repository allows patient data to be processed and meaningful for deep learning and machine learning developments. This study protects people from information pollution on the internet, informs them about their disease with a reliable accuracy score, and prevents terrible scenarios by providing the earliest diagnosis for essential diseases. It also serves many purposes, such as helping doctors make diagnoses about a patient's condition and improving medical students' knowledge by practicing on different types of cases. Our system analyzes the symptom values the user gives and then returns the disease predicted with the highest accuracy using deep learning and machine learning algorithms. The dataset includes 133 symptoms and 42 disease types. There are 306 patient records containing different types of cases. This study uses supervised machine learning techniques, Support Vector Machine, Naive Bayes Classifier, K-Nearest Neighbors, Random Forest Classifier, Decision Tree Classifier, XGBoost, LightGBM, and Multilayer Perceptron Classifier were tried on a dataset available online. As a result of the experiments, it was seen that the highest accuracy score was achieved by using the XGBoost algorithm.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123887097","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

Predicting Diabetes Using Machine Learning Techniques 使用机器学习技术预测糖尿病

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE) Pub Date : 2022-09-29 DOI: 10.1109/ICTACSE50438.2022.10009726

Elif Nur Haner Kırğıl, Begüm Erkal, Tülin Erçelebİ Ayyildiz

引用次数: 1

Real-Time Smart System for ECG Monitoring Using a One-Dimensional Convolutional Neural Network 基于一维卷积神经网络的心电监测实时智能系统

2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE) Pub Date : 2022-09-29 DOI: 10.1109/ICTACSE50438.2022.10009707

B. Bengherbia, Mohamed Rafik Aymene Berkani, Zahra Achir, Abdelhafid Tobbal, Mohamed Rebiai, M. Maazouz

{"title":"Real-Time Smart System for ECG Monitoring Using a One-Dimensional Convolutional Neural Network","authors":"B. Bengherbia, Mohamed Rafik Aymene Berkani, Zahra Achir, Abdelhafid Tobbal, Mohamed Rebiai, M. Maazouz","doi":"10.1109/ICTACSE50438.2022.10009707","DOIUrl":"https://doi.org/10.1109/ICTACSE50438.2022.10009707","url":null,"abstract":"Medical facilities and equipment have significantly advanced due to technological advancements in healthcare systems and diagnosis. On the other hand, deep learning neural networks are among the most cutting-edge tools and technology in biomedical engineering. In this context, the authors built an intelligent healthcare system to assist doctors in diagnosing cardiac illness by intelligently analysing the ECG signal. The proposed system can automatically detect and classify different cardiovascular diseases using a one-dimensional convolutional neural network (1D-CNN). The CNN model was developed and evaluated using the MIT-BIH ECG database from Physionet, where the achieved accuracy and loss rate was 97% and 0.11 %, respectively. An acquisition node was developed based on Arduino Uno and AD8232 sensor to collect and process the ECG signal. The Raspberry Pi board was designed as the processing unit by implementing the proposed CNN model following the TinyML approach that allows machine learning to be executed on resource-constrained, embedded edge devices. Finally, the Node-Red server was used to test and display the different prediction results.","PeriodicalId":301767,"journal":{"name":"2022 International Conference on Theoretical and Applied Computer Science and Engineering (ICTASCE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121231081","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