2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)最新文献_第4页

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2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/isriti48646.2019.9034636

引用次数: 0

Detection of Megalopa Phase Crab Larvae Using Digital Image Processing 利用数字图像处理技术检测巨斑期蟹幼虫

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034609

Novi Nurlaela, M. Niswar, I. Nurtanio, Y. Fujaya, S. Kashihara, Doudou Fall

引用次数: 1

E-Business Value Creation Factors that Affect Consumers’ Intention to Shop Online at Shopee.co.id 影响shopee .co.网上购物意向的电子商务价值创造因素

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034604

Michael Shane, Lukman Wisnudrajat, Sfenrianto Sfenrianto, Tanty Oktavianty

引用次数: 0

Smoker’s Melanosis Tongue Identification System using the Spatial and Spectral Characteristic Combinations Tongue in the Visible and Near-Infrared Range 基于可见和近红外波段舌部空间和光谱特征组合的吸烟者黑变病舌部识别系统

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034587

Linda Yunita, A. H. Saputro, B. Kiswanjaya

{"title":"Smoker’s Melanosis Tongue Identification System using the Spatial and Spectral Characteristic Combinations Tongue in the Visible and Near-Infrared Range","authors":"Linda Yunita, A. H. Saputro, B. Kiswanjaya","doi":"10.1109/ISRITI48646.2019.9034587","DOIUrl":"https://doi.org/10.1109/ISRITI48646.2019.9034587","url":null,"abstract":"A system that could help a medical practitioner to diagnose a patient who is smoker or nonsmoker is needed. Smoker's melanosis could be used as one indicator to identify someone is a smoker or not. This study focuses on the development of a noninvasive system of smoker identification based on hyperspectral imaging. The developed system consists of a smoker's image acquisition instrument and image processing algorithm using spectral and spatial characteristics in the Visible and Near-Infrared (VNIR) range. The average pixel intensity at a spatial range is used as a feature that represents the relative reflectance at the wavelength of 400 – 1000 nm. The PCA method is used to reduce the dimensions (features) into five characteristic features. The SVM method is used to classify the feature into Smoker's Melanosis (SM) and normal pixel information. This experiment was using 45 samples consisting of 20 smokers and 25 nonsmokers. It was performed to test the performance of the developed system. The results show that the accuracy is 97.31%, misclassification rate (MR) is 2.69%, false-positive rate (FPR) is 0%, false-negative rate (FNR) is 5.83%, sensitivity is 94.17%, and specificity is 100%. In general, the system has worked to help diagnose a smoker.","PeriodicalId":367363,"journal":{"name":"2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129070374","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 of Optimal Controller for Parallel Hybrid Electric Vehicle Based On Shortest Path Algorithm 基于最短路径算法的并联混合动力汽车最优控制器设计

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034648

Pratama Mahadika, Aries Subiantoro

引用次数: 0

A Comparative Study Cluster-Based Routing Protocols in VANETs for City Environment 城市环境下vanet中基于集群路由协议的比较研究

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034661

Kim Youneng, S. Sulistyo, I. Mustika

引用次数: 3

Transferring Multi-Channel Convolutional Neural Network Model for Cross-Domain Sentiment Analysis 基于多通道卷积神经网络模型的跨域情感分析

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034599

A. Rozie, Andria Arisal, D. Munandar

{"title":"Transferring Multi-Channel Convolutional Neural Network Model for Cross-Domain Sentiment Analysis","authors":"A. Rozie, Andria Arisal, D. Munandar","doi":"10.1109/ISRITI48646.2019.9034599","DOIUrl":"https://doi.org/10.1109/ISRITI48646.2019.9034599","url":null,"abstract":"Analyzing sentiment analysis with deep learning requires massive labeled datasets where such data is not always available. The annotation process is also time-consuming and tedious. Further, even after we train the sentiment analysis, it creates another problem. Because this model is domain-dependent, the performance in another domain estimated to perform poorly. In this paper, we present the transfer learning approach to transfer knowledge gained from the source dataset into the target dataset with the expectation to improve the target model. Multichannel Convolutional Neural Network deploys different n-grams as the input channel in a single CNN model to grasp meaningful features from the text. This method has proven to perform well in sentiment analysis problems. We train our three datasets with different domains using this method as the baseline. The largest dataset then becomes the source model for transfer learning and other datasets as the target. Fine-tuning our source model also needed when retraining it into the target dataset. From the evaluation, we show that several transfer learning strategies outperform the domain-specific model, even when the data is imbalanced. We also highlight certain failing strategies that inflict lousy results on the target model performance.","PeriodicalId":367363,"journal":{"name":"2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122792273","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

Determining NPC Behavior in Maze Chase Game using Naïve Bayes Algorithm 利用Naïve贝叶斯算法确定迷宫追逐游戏中NPC的行为

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034640

Hidayah Zohro’iyah, S. M. Nasution, Ratna Astuti Nugrahaeni

{"title":"Determining NPC Behavior in Maze Chase Game using Naïve Bayes Algorithm","authors":"Hidayah Zohro’iyah, S. M. Nasution, Ratna Astuti Nugrahaeni","doi":"10.1109/ISRITI48646.2019.9034640","DOIUrl":"https://doi.org/10.1109/ISRITI48646.2019.9034640","url":null,"abstract":"In this paper, we propose an implementation of Naïve Bayes algorithm in a chase game called Maze Chase. Maze Chase is a chase game where a player must avoid several chasings Non-Player Character (NPC). In our proposed implementation, the NPC will run automatically using artificial intelligence. There are four NPC in Maze Chase, each with its own characteristics. Because of the characteristic differences, the four NPC needs to communicate with each other. For communication we use a multi-agent system. Multi-agent system is a part of artificial intelligence which were used by NPC to communicate with each other using several defined parameters. We used several parameters, such as the number of coins in a zone, the amount of golden coins in a zone, and the centroid values. These parameters were used as variables for an implementation of Naïve Bayes algorithms. Our proposed implementation of Naïve Bayes was used to count the probabilities of NPC behavior, which will move closer towards the player according to several zones in the game map. From the testing results, Naïve Bayes algorithm could be used to decide the NPC movement according to its target zone on the Maze Chase game, with error rate 0.5%.","PeriodicalId":367363,"journal":{"name":"2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123051200","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

3D Model of Photogrammetry Technique for Transtibial Prosthetic Socket Design Development 三维摄影测量技术在胫骨假体窝设计中的应用

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034670

R. B. Taqriban, R. Ismail, M. Ariyanto, Andika Febri Yaya Syah Putra

引用次数: 10

Selecting Palm Oil Cultivation Land using ARAS Method 利用ARAS法选择棕榈油种植用地

2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2019-12-01 DOI: 10.1109/ISRITI48646.2019.9034593

Muhammad Ari Prayogo, Jatmiko Endro Suseno, Dinar Mutiara Kusumo Nugraheni

引用次数: 2