2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)最新文献_第4页

COVID-19 Chest X-Ray Classification Using Convolutional Neural Network Architectures 基于卷积神经网络架构的COVID-19胸部x线分类

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315499

D. Nurtiyasari, D. Rosadi

{"title":"COVID-19 Chest X-Ray Classification Using Convolutional Neural Network Architectures","authors":"D. Nurtiyasari, D. Rosadi","doi":"10.1109/ISRITI51436.2020.9315499","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315499","url":null,"abstract":"World Health Organizations declared that Coronavirus Disease 2019 (COVID-19) outbreak pandemic in March 2020. Countries around the world are stepping up effort to halt the spread of this pandemic. Some countries are scrambling to tackle this virus by applying lockdown policy. As of 10 August 2020, there have been confirmed 19.718.030 total cases and 728.013 total deaths of COVID-19 [2]. COVID-19 detection is vital to decide the subsequent step in handling the patients. One strategy that may be applied for COVID-19 detection is classification approach primarily based totally on chest x-ray of the patients. Convolutional neural network has been successfully applied in practical applications. It is a type of machine learning which the model is designed to learn classification tasks directly from an image. It recognizes patterns directly from image pixel. These patterns are used to classify images and to eliminate the need of manual feature extraction. The classification provides outcomes with recall, precision, and accuracy had been respectively 94.99%, 95%, and 95.47% for model 1 and 97.73%, 95%, and 96.59% for model 2.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133357754","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: 6

A Robust Iris Segmentation Algorithm Based on Pupil Region for Visible Wavelength Environments 可见光环境下基于瞳孔区域的鲁棒虹膜分割算法

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315343

Hala N. Fathee, Shaaban A. Sahmoud, J. Abdul-Jabbar

{"title":"A Robust Iris Segmentation Algorithm Based on Pupil Region for Visible Wavelength Environments","authors":"Hala N. Fathee, Shaaban A. Sahmoud, J. Abdul-Jabbar","doi":"10.1109/ISRITI51436.2020.9315343","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315343","url":null,"abstract":"In the last decade, the research on iris biometric has received increasing attention. Most of this research targets the iris recognition scenarios in constrained or controlled conditions, where considering the unconstrained environments is still needs more research work. In unconstrained environments, the sources of noise in eye regions are significantly more than constrained environments, leading to severe degradation in the iris region. As a result, iris segmentation step has a crucial significance and becomes a major issue in unconstrained iris recognition, since most of the traditional iris segmentation techniques fail under such challenging conditions. In this paper, a new segmentation algorithm is proposed to handle iris images acquired in visible wavelength environments. The proposed segmentation algorithm decreases the degradation and noise by starting from the most easily distinguishable region of the iris, which is the dark circular region called pupil. After that, the iris is localized accurately using a fast-circular Hough transform. Finally, the upper and lower eyelids and eyelashes are determined and removed from the iris region by applying a set of more suitable methods for unconstrained environments. The proposed algorithm is compared with several state-of-the-art segmentation algorithms using the UBIRIS database, and the results validate the effectiveness and stability of the proposed algorithm.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134093943","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

Aspect-based Opinion Mining on Beauty Product Reviews 基于方面的美容产品评论意见挖掘

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315350

Syiti Liviani Mahfiz, A. Romadhony

引用次数: 3

Model Development of Information Technology Value for Downstream Petroleum Industry 石油下游产业信息技术价值模式开发

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315369

Taufik Hidayat, Rahutomo Mahardiko

引用次数: 2

Multi-Point Travel Destination Recommendation System in Yogyakarta Using Hybrid Location Based Service-Floyd Warshall Method1 基于混合位置服务的日惹多点旅游目的地推荐系统

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315458

Raditya Arief Pratama, Rudy Hartanto, L. Nugroho

引用次数: 1

Prediction of Forest Fire Occurrence in Peatlands using Machine Learning Approaches 使用机器学习方法预测泥炭地森林火灾发生

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315359

D. Rosadi, W. Andriyani, D. Arisanty, D. Agustina

引用次数: 6

The N-Sheet Model in Capacitated Multi-Period Cutting Stock Problem with Pattern Set-Up Cost 带模式成本的有能力多周期切削库存问题的n -片模型

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315440

S. Octarina, P. B. J. Bangun, Sisca Pebrina, D. A. Zayanti, L. Hanum

引用次数: 0

A Comparative Study of Java and Kotlin for Android Mobile Application Development Java与Kotlin在Android移动应用开发中的比较研究

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/isriti51436.2020.9315483

Bambang Purnomosidi Dwi Putranto, Robertus Saptoto, Ovandry Chandra Jakaria, W. Andriyani

{"title":"A Comparative Study of Java and Kotlin for Android Mobile Application Development","authors":"Bambang Purnomosidi Dwi Putranto, Robertus Saptoto, Ovandry Chandra Jakaria, W. Andriyani","doi":"10.1109/isriti51436.2020.9315483","DOIUrl":"https://doi.org/10.1109/isriti51436.2020.9315483","url":null,"abstract":"There are several programming languages that can be used to develop Android application, such as C++, Java, Kotlin, JavaScript, and many more. Each programming language certainly has some advantages and disadvantages in the development of Android application. Therefore, a comparison to see the values of those programming languages is needed. This research compared two popular programming languages for Android application development, namely Java and Kotlin. The testing was done by building two applications using Java and Kotlin that access data in a remote server. Our comparison includes source code evaluation, testing on the performance of the app performed on two devices, and testing on the data usage. From the test results, it was proved that Kotlin is superior in terms of more concise lines of code and less data usage which will reduce bugs substantially therefore will lead to faster development time. On the other hand, Java is superior in its compiling time (for first time build but on par with Kotlin for incremental build) and APK size albeit not significant. We also compare ecosystem and programming language constructs for both programming languages. Overall, for Android mobile application development, Java should be used if mobile application development priority is the APK size and compilation / build time while Kotlin should be used if mobile application development priority is lesser bugs, concise code, and faster development time.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127459175","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

The User Experience effect of Applying Floating Action Button (FAB) into Augmented Reality Anatomy Cranium Media Learning Prototype 将浮动动作按钮(FAB)应用于增强现实解剖学颅骨媒体学习原型的用户体验效果

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315459

M. H. Nasri, Rudy Hartanto, A. E. Permanasari, N. Arfian

{"title":"The User Experience effect of Applying Floating Action Button (FAB) into Augmented Reality Anatomy Cranium Media Learning Prototype","authors":"M. H. Nasri, Rudy Hartanto, A. E. Permanasari, N. Arfian","doi":"10.1109/ISRITI51436.2020.9315459","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315459","url":null,"abstract":"A learning media's success is determined by two factors, namely the instructional design and user interface design. Most of the existing AR anatomy-based teaching media still do not pay attention to the learning media's UI and UX design. Elements such as navigation menus, text, icons, buttons, and others still accumulate, leading to the interface feel dense. This problem also can shift the user's attention when using this learning media. We tried to apply the FAB (Floating Action Button) to high-fidelity AR-based anatomy learning media prototype to overcome this. In this study, the FAB functions are as navigation and the main action of the prototype. We chose the FAB as a primary action and navigation since its ability to attract user attention and expand and narrow itself. FAB is recommended as navigation if the user needs to access certain parts or application functionality quickly regardless of hierarchy and limited navigation space. To find out the effect of user experience on FAB in this AR-based teaching media. Researchers use UEQ (User Experience Questionnaire). The results of the research show that the prototype using FAB produces three scales at the “above average” level, two scales at the “Good” level, and one scale is at the “excellent” level. Overall, the resulting scale shows pretty good results.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128315496","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

Thyroid Nodules Categorization Based On Margin Features Using Deep Learning 基于边缘特征的深度学习甲状腺结节分类

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315329

H. A. Nugroho, Eka Legya Frannita, A. Hutami

{"title":"Thyroid Nodules Categorization Based On Margin Features Using Deep Learning","authors":"H. A. Nugroho, Eka Legya Frannita, A. Hutami","doi":"10.1109/ISRITI51436.2020.9315329","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315329","url":null,"abstract":"Thyroid cancer is a rare malignancy originated in the thyroid gland. It is often found incidentally in patients with thyroid nodules. One of the ways to evaluate its malignancy is by using ultrasonography of thyroid and neck. Many studies conducted experiments around thyroid nodules but none were focusing on thyroid nodules characteristics especially margin characteristic. This characteristic tends to be visibly obvious and can be the lead to another characteristics. We proposed a method to help experts in identifying the regular and irregular categories from margin characteristic. The proposed method consists of pre-processing, segmentation, feature extraction by using nine geometric features, data balancing by using synthetic minority oversampling technique (SMOTE), and classification by using deep learning method. For the training process we used the dataset collected from the Department of Radiology RSUP Dr. Sardjito Yogyakarta Indonesia. We sucessfully obtained accuracy of 94.79%, sensitivity of 94.9%, specificity of 94.1%, PPV of 98.68%, NPV of 80%, F-measure of 94.6% and ROC of 96%.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132136556","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