2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)最新文献_第3页

Improving the Interaction of Autistic Children through Eye Tracking using Gamification Design Framework 基于游戏化设计框架的眼动追踪改善自闭症儿童的互动

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649613

A. F. Azizah, A. Djunaidy, D. Siahaan, Fendy Suhariadi

{"title":"Improving the Interaction of Autistic Children through Eye Tracking using Gamification Design Framework","authors":"A. F. Azizah, A. Djunaidy, D. Siahaan, Fendy Suhariadi","doi":"10.1109/COSITE52651.2021.9649613","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649613","url":null,"abstract":"Tracking for autism (TFA) is an interactive game designed specifically to increase the interaction of autistic children. Although the exact cause of autism spectrum disorder (ASD) is unknown, so far there is no medical cure for ASD. Therefore, one of the efforts to respond to this issue is to focus on increasing the interaction of autistic children through game media. The current autistic game design has not been able to increase the interaction of autistic children, but only helps autistic children to interact. This study proposes a framework for designing interactive games for autistic children based on eye tracking and developing a new strategy to determine the increase in the interaction of autistic children from one level to another. The results of the initial investigation showed that there was an increase in the interaction of autistic children before and after using TFA games. The initial testing was using parameters such as viewing objects, eyes looking down, forward focus, and dilated pupils. Based on the results of the initial trial, the TFA Games was proven to be able to increase the level of interaction of autistic children.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124233871","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 of Retinal Pathology via OCT Images using Convolutional Neural Network 基于卷积神经网络的OCT视网膜病理分类

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649630

Dewi Annisa Anam, L. Novamizanti, S. Rizal

{"title":"Classification of Retinal Pathology via OCT Images using Convolutional Neural Network","authors":"Dewi Annisa Anam, L. Novamizanti, S. Rizal","doi":"10.1109/COSITE52651.2021.9649630","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649630","url":null,"abstract":"Optical Coherence Tomography (OCT) is a medical imaging technique used to detect pathology that occurs in the macula. The manual analysis process tends to be less effective and efficient both in time and diagnostic accuracy. This study proposes an automatic classification system for generalized macular retinal pathology based on OCT retinal images using Convolutional Neural Network (CNN) with EfficientNet architecture. In the preprocessing stage, three types of signal processing are analyzed on the image, namely Gaussian Filter, Contrast Limited Adaptive Histogram Equalization (CLAHE), and Gabor Filter. This paper also evaluates two different optimizers, namely Adaptive Moment (Adam) and Stochastic Gradient Decent (SGD). The EfficientNet model works using a combined scaling method to balance all network dimensions. The experimental results show that the proposed model's preprocessing CLAHE and Adam's optimization function can classify four standard retinal macular pathology classes. The four classes include Age-Related Macular Degeneration (AMD), Choroidal Neovascularization (CNV), and Diabetic Macular Edema (DME), with an accuracy of 90.60. %, and a loss of 0.27.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125326127","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

Effective Loss Function for Unbalanced Breast Thermal Image Segmentation 非平衡乳房热图像分割的有效损失函数

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649476

Roslidar Roslidar, Khairun Saddami, M. Irhamsyah, F. Arnia, M. Syukri, K. Munadi

{"title":"Effective Loss Function for Unbalanced Breast Thermal Image Segmentation","authors":"Roslidar Roslidar, Khairun Saddami, M. Irhamsyah, F. Arnia, M. Syukri, K. Munadi","doi":"10.1109/COSITE52651.2021.9649476","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649476","url":null,"abstract":"The convolutional neural network's ability to learn images has reigned in computer vision tasks of object detection, classification, and segmentation. In segmentation, the CNN architectures of U-Net and SegNet have shown a good performance; thus, we implemented these networks to take the region of interest (ROI) of the breast thermal images from database for mastology research (DMR). We fine-tuned the networks to find the optimal hyperparameter that can result in the best learning performance. The networks were trained using the stochastic gradient descent optimization algorithm, and weights were updated using the error backpropagation of the algorithm. To minimize the error, the loss function is applied to evaluate a candidate solution of the weights. Thus, we conducted a preliminary study on finding the optimal loss function for breast thermal image segmentation. We applied loss functions of cross-entropy, dice, and focal and figured out the one that provides the highest segmentation accuracy. Then, to evaluate the segmentation result, we calculated the pixel accuracy rate and the dice coefficient to obtain the overlapping index measuring the overlay area between ground truth and predicted output. The result shows that the SegNet model with cross-entropy loss function can take the ROI of breast thermal images at the highest pixel accuracy and optimum dice coefficient of 0.8845 and 0.7928, respectively.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116716429","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

Industry Standards and Standardization: Analysis of Annual Reports of Technology Organizations 行业标准与标准化:技术组织年度报告分析

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649540

Girish Chandra, Arunabha Mukhopadhyay

{"title":"Industry Standards and Standardization: Analysis of Annual Reports of Technology Organizations","authors":"Girish Chandra, Arunabha Mukhopadhyay","doi":"10.1109/COSITE52651.2021.9649540","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649540","url":null,"abstract":"Technology Organizations are participating in the formulation, adoption, and diffusion of Industry Standards to create value for self, customers, industry, and society at large. In this paper, the Authors have analyzed the Annual Reports of the Product/Platform/Services focused Technology Organizations to get their current perspective on Industry Standards, especially in the Information Technology area. In the context of Annual reports, the Paper further discusses Standards related Compliance challenges especially in Data Protection/Cyber Security, Increased competition, and associated risks due to evolving nature of Standards, Management System Standards and Certifications, the role of Standard Essential Patents. The Paper also provides insights on Standard Developing Organization (SDO)/ Consortium Membership of Technology Organizations. The main contribution of this paper is to ensure awareness among Technology Organizations that are hesitant to take the next steps in Standardization. The findings from this paper can act as an input to strengthen the business case to engage actively in the Standardization. Managers can take the clue to build Standards Competency for employees, plan Standards related Certifications and SDO Memberships, Evaluate the Standard Compliance/ do risk analysis, relook at their Patent Strategy. Standardization is a journey that needs support from Top Leadership to play a significant role in Standards Universe.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126601144","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

Design a Simulation Tools for Goal Seeking Behavior of a Mobile Robot 设计一种移动机器人寻目标行为仿真工具

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649463

A. Adriansyah, E. Ihsanto, Yudhi Gunardi, Heru Suwoyo, Julpri Andika, Abu Ubaidah bin Shamsudin

{"title":"Design a Simulation Tools for Goal Seeking Behavior of a Mobile Robot","authors":"A. Adriansyah, E. Ihsanto, Yudhi Gunardi, Heru Suwoyo, Julpri Andika, Abu Ubaidah bin Shamsudin","doi":"10.1109/COSITE52651.2021.9649463","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649463","url":null,"abstract":"To facilitate the teaching of robotics technology in higher education, a laboratory robot is needed. Using a laboratory robot, a teacher can discuss robot parts in more detail, both in electronics, mechanics, controllers, intelligence, and the principles of kinematic movement and robot dynamics. Unfortunately, a laboratory robot has a high price, a complex system, parts that are difficult to separate and software with a limited programming language. Many universities have to wait a long time to buy a laboratory robot. Even after buying it, it still gets complexity and language problems that are difficult to teach students. Therefore, there are several studies in the form of solving these problems. This study aims to create a simulator of a mobile robot. The GUI of the mobile robot, especially goal-seeking behavior, is designed. The robot maneuver uses differential drive wheeled mobile robot principles. The simulation tool uses the MATLAB programming language. Based on several simulation processes, it can be stated that the mobile robot simulation tools can work well. Some performance of control strategies can be analyzed using figures or numerical data resulted.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131295646","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: 4

Application and Analysis of Incremental Conductance Algorithm for A Photovoltaic System with Variable DC Output Voltage 变直流输出电压光伏系统电导增量算法的应用与分析

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649621

Hafidh Hasan, Ardiansyah Lubis, Teuku Yuliar Arif

{"title":"Application and Analysis of Incremental Conductance Algorithm for A Photovoltaic System with Variable DC Output Voltage","authors":"Hafidh Hasan, Ardiansyah Lubis, Teuku Yuliar Arif","doi":"10.1109/COSITE52651.2021.9649621","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649621","url":null,"abstract":"This paper presents an analytical and experimental evaluation of the incremental conductance algorithm effectiveness in tracking the maximum power in a photovoltaic system with a varying dc voltage output. Generally, the output voltage of a photovoltaic remains around its nominal for the entire time of operation, either by mean of a controller or connected in parallel to another voltage source. The incremental conductance is implemented using the boost converter through direct control method to control its duty cycle. The ability and performance of the incremental conductance to react and recover from disturbances is predetermined from analyzing the circuit and validated from an experiment. The experiment is conducted indoor to isolate other factors than irradiance to affect the solar panel performance and to satisfy with the assumption made in circuit analysis. An artificial light source is used to create disturbances through changes in irradiance. The results show that the predictions and the experimental results are in agreement. The contributions of this study are made in several aspects, including analysis of the algorithm in this particular case, mathematical modelling and experimental setup.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"1 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114051497","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

Optical Fiber Network Design in Bangka-Belitung Islands 曼谷-别里东群岛光纤网络设计

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649647

Muhammad Faris Baskoro, Ones Sanjerico Sitanggang, Ananda Husnul Khotimah, Muhammad Zidan Hafizh, Riko Adisatya, C. Apriono

引用次数: 4

Machine Learning in Gaze-Based Interaction: A Survey of Eye Movements Events Detection 基于注视的交互中的机器学习:眼动事件检测研究综述

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649646

Annis Nuraini, Suatmi Murnani, I. Ardiyanto, S. Wibirama

{"title":"Machine Learning in Gaze-Based Interaction: A Survey of Eye Movements Events Detection","authors":"Annis Nuraini, Suatmi Murnani, I. Ardiyanto, S. Wibirama","doi":"10.1109/COSITE52651.2021.9649646","DOIUrl":"https://doi.org/10.1109/COSITE52651.2021.9649646","url":null,"abstract":"Spontaneous gaze-based input offers faster and more intuitive human-computer interaction as people naturally look at their desired destination. Developing a spontaneous gaze-based application faces many challenges, one of them is detecting events of eye movements. Most events detection methods are based on velocity or dispersion threshold. Unfortunately, these approaches depend on manual setting of threshold parameters. Despite previous attempts to review various techniques used in spontaneous gaze-based interaction, there is no survey paper that takes into account various machine learning techniques used for events detection. Here we present a brief overview of spontaneous gaze-based interactive applications and some machine learning approaches used for eye movement events detection. First, we explored major development of spontaneous gaze-based interaction by reviewing some examples of its applications. Next, we presented some state-of-the-art of threshold-based and machine learning-based events detection techniques. Finally, we discussed future research on spontaneous gaze-based interaction. Our brief survey paper maybe used by entry level researchers interested in developing uncalibrated interactive applications based on eye tracking.","PeriodicalId":399316,"journal":{"name":"2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128836484","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

WT and DT-based Protection Scheme for Hybrid Microgrid System 基于WT和dt的混合微电网保护方案

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649518

Goyal Awagan, Ebha Koley, Subhojit Ghosh

引用次数: 3

Friction Sound Generated in Rubbing of a Ball on Unidirectional Asperity Surface 球在单向粗糙表面摩擦时产生的摩擦声

2021 International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE) Pub Date : 2021-10-20 DOI: 10.1109/COSITE52651.2021.9649615

Z. Fuadi, Miki Hiroyuki, K. Adachi

引用次数: 0