2015 International Conference on Science in Information Technology (ICSITech)最新文献

Kansei Engineering-based Sensor for Agro-industry (KESAN) for measurement and monitoring of worker performance 基于感性工学的农用工业传感器(KESAN)，用于测量和监测工人的工作表现

2015 International Conference on Science in Information Technology (ICSITech) Pub Date : 2015-10-01 DOI: 10.1109/ICSITECH.2015.7407770

M. Ushada, T. Okayama, D. Fudholi, A. Suyantohadi, N. Khuriyati

引用次数: 1

Performance evaluation of combined feature selection and classification methods in diagnosing parkinson disease based on voice feature 基于语音特征的组合特征选择与分类方法诊断帕金森病的性能评价

2015 International Conference on Science in Information Technology (ICSITech) Pub Date : 2015-10-01 DOI: 10.1109/ICSITECH.2015.7407790

Made Satria Wibawa, H. A. Nugroho, N. A. Setiawan

{"title":"Performance evaluation of combined feature selection and classification methods in diagnosing parkinson disease based on voice feature","authors":"Made Satria Wibawa, H. A. Nugroho, N. A. Setiawan","doi":"10.1109/ICSITECH.2015.7407790","DOIUrl":"https://doi.org/10.1109/ICSITECH.2015.7407790","url":null,"abstract":"Parkinson is a disease attacking the nervous system and worsens the work of nervous system over time. This disease is incurable, the therapy existing today is only able to help to relieve the symptoms. Hence, an early diagnose is deemed essential to determine an accurate type of therapy. Parkinson disease can be diagnosed by examining the symptoms apparent to the patient. One of the symptoms is the existence of dysphonia (weakness in voice production) to the patients with Parkinson. This research purposely is to examine the diagnosis of Parkinson disease through the measurement of voice data obtained from UCI repository. The dataset of the voice was initially normalized before conducting the feature selection by means of a number of methods including Correlation-based Feature Selection (CFS), Principal Component Analysis (PCA), Wrapper and conducting without feature selection. The data that has been selected later was classified using four classifiers including Support Vector Machine (SVM), k-Nearest Neighbour (kNN), Bayesian Network and Multi Layer Perceptron (MLP). All of the processes conducted using WEKA 3.6. The result revealed that the highest accuracy was obtained at 98.97% with the sensitivity of 99.32% and specificity of 97.92% from the use of feature selection of Wrapper using kNN classifiers.","PeriodicalId":367771,"journal":{"name":"2015 International Conference on Science in Information Technology (ICSITech)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129586097","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: 13

Forecasting trend data using a hybrid simple moving average-weighted fuzzy time series model 使用混合简单移动平均加权模糊时间序列模型预测趋势数据

2015 International Conference on Science in Information Technology (ICSITech) Pub Date : 2015-10-01 DOI: 10.1109/ICSITECH.2015.7407822

W. Sulandari, Y. Yudhanto

{"title":"Forecasting trend data using a hybrid simple moving average-weighted fuzzy time series model","authors":"W. Sulandari, Y. Yudhanto","doi":"10.1109/ICSITECH.2015.7407822","DOIUrl":"https://doi.org/10.1109/ICSITECH.2015.7407822","url":null,"abstract":"First order fuzzy time series (1st order FTS) is one of popular time series forecasting models. Since employing the first lag variable and using fuzzy logical relationship to derive the forecasting value, 1st order FTS is often unsuccessful in analyzing trend time series. On the other hand, moving averages can be used to quickly identify the direction of trend by smoothing the data. However, moving averages are lagging indicators that will always be a step behind and give late signals. Therefore, It had better not use moving averages alone as a forecasting model. This paper proposed a hybrid approach based on moving averages and weighted fuzzy time series (WFTS) model to analyze and forecast the trend time series data. By using both models jointly, it is expected that the different forms of pattern in time series data can be captured. This hybrid model takes advantage of moving averages in identifying trend direction and WFTS to model the stationary residuals series after removing trend effect using moving averages. The proposed moving averages and WFTS hybrid approach is applied to historical enrollment data for the University of Alabama and maize production data for Indonesia. Comparisons with other previous methods proposed in the literature show that combination of moving averages and WFTS model yields the smallest root mean square error (RMSE).","PeriodicalId":367771,"journal":{"name":"2015 International Conference on Science in Information Technology (ICSITech)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128706194","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: 10

Design of chatbot with 3D avatar, voice interface, and facial expression 具有三维头像、语音界面、面部表情的聊天机器人设计

2015 International Conference on Science in Information Technology (ICSITech) Pub Date : 2015-10-01 DOI: 10.1109/ICSITECH.2015.7407826

P. Angga, W. E. Fachri, A. Elevanita, Suryadi, R. Agushinta

{"title":"Design of chatbot with 3D avatar, voice interface, and facial expression","authors":"P. Angga, W. E. Fachri, A. Elevanita, Suryadi, R. Agushinta","doi":"10.1109/ICSITECH.2015.7407826","DOIUrl":"https://doi.org/10.1109/ICSITECH.2015.7407826","url":null,"abstract":"A chatbot is a conventional agent that is able to interact with users in a given subject by using natural language. The conversations in most chatbot are still using a keyboard as the input. Keyboard input is considered ineffective as the conversation is not natural without any saying and a conversation is not just about words. Therefore, this paper propose a design of a chatbot with avatar and voice interaction to make a conversation more alive. This proposed approach method will come from using several API and using its output as another input to next API. It would take speech recognition to take input from user, then proceed it to chatbot API to receive the chatbot reply in a text form. The reply will be processed to text-to-speech recognition and created a spoken, audio version of the reply. Last, the computer will render an avatar whose gesture and lips are sync with the audio reply. This design would make every customer service or any service with human interaction can use it to make interaction more natural. This design can be further explored with additional tool such as web camera to make the agent can analyze the user's emotion and reaction.","PeriodicalId":367771,"journal":{"name":"2015 International Conference on Science in Information Technology (ICSITech)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116472559","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: 29

Knowledge management strategy model for small to medium enterprises 中小企业知识管理战略模型

2015 International Conference on Science in Information Technology (ICSITech) Pub Date : 2015-10-01 DOI: 10.1109/ICSITECH.2015.7407807

Angellia Debora Suryawan, Eryco Putra, A. Pratiwi

{"title":"Knowledge management strategy model for small to medium enterprises","authors":"Angellia Debora Suryawan, Eryco Putra, A. Pratiwi","doi":"10.1109/ICSITECH.2015.7407807","DOIUrl":"https://doi.org/10.1109/ICSITECH.2015.7407807","url":null,"abstract":"The focus of knowledge management is not only for academic but already a realization that knowing about knowledge is critical for business growth and business survival. Knowledge management is known as one of the key factors for the enterprises to have a sustainable competitive advantage. Many enterprises would like to have knowledge management implemented in their company but they are often confused about the direction how to create a successful knowledge management and this point is especially true for small to medium enterprises (SMEs). Besides the blurry of the step in creating a good knowledge management for SMEs, they also have a lot of doubts of it as knowledge management may costs too much. This skepticism drives SMEs owner to be afraid to spend their resources to implement a knowledge management and it may make them lose their competitive advantage. Methodologies for this research are literature view, observations, interview, and case study. This research is focus to create a model of knowledge management strategy that may help SMEs to better understanding about the useful of knowledge and how to implement the model easily.","PeriodicalId":367771,"journal":{"name":"2015 International Conference on Science in Information Technology (ICSITech)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125642436","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

Identifying online learners' requirements for an efficient feedback and support system 确定在线学习者对有效反馈和支持系统的需求

2015 International Conference on Science in Information Technology (ICSITech) Pub Date : 2015-10-01 DOI: 10.1109/ICSITECH.2015.7407831

S. Panchoo

{"title":"Identifying online learners' requirements for an efficient feedback and support system","authors":"S. Panchoo","doi":"10.1109/ICSITECH.2015.7407831","DOIUrl":"https://doi.org/10.1109/ICSITECH.2015.7407831","url":null,"abstract":"In distance education learners are encouraged to be autonomous learners by learning at their own place and pace. However, they require relevant supports and timely feedback to motivate them progress effectively in their studies. In absence of face to face interactions, tutors are unable to understand clearly the problems faced by the learners and thus they are not given the right timely feedback. This research is part of a doctoral research and the aim of this paper is to firstly, investigate the types of supports that learners look for in a completely online course and secondly, identify a convenient environment to enable tutors track the learners' progress and give personalized assistance. As methodology, a content analysis of four synchronous tutorial chats, of 998 lines of interactions, was done based on activity theory of Engestrom. An online tutor and his ten learners participated in the chats, enabling them to interact freely with the focus of successfully completing the assignment set. Result depicts the human behaviour of learners enrolled in a completely online course: they queried on the rules, the procedures of the course as well as on the expectations of the tutor. The interactions were focused towards meeting the objectives of the course but they were not dominated by meta-cognitive interactions. Thus, we propose for relevant variables to be logged to enable tutors to understand learner's progress and to give efficient support based on the analysis of learning analytics of learners' past interactions. Learners' behaviours via their interactions, will enable tutors identify lurkers, active and passive learners. This research is a stepping stone in identifying patterns with regards to tutors and learners' interactions.","PeriodicalId":367771,"journal":{"name":"2015 International Conference on Science in Information Technology (ICSITech)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121607873","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

Automatic image segmentation using sobel operator and k-means clustering: A case study in volume measurement system for food products 基于sobel算子和k-means聚类的自动图像分割:以食品体积测量系统为例

2015 International Conference on Science in Information Technology (ICSITech) Pub Date : 2015-10-01 DOI: 10.1109/ICSITECH.2015.7407769

J. Siswantoro, A. S. Prabuwono, A. Abdullah, B. Idrus

引用次数: 10

Proof of attributes based CL signature Scheme on e-health applications 电子医疗应用中基于属性的CL签名方案证明

2015 International Conference on Science in Information Technology (ICSITech) Pub Date : 2015-10-01 DOI: 10.1109/ICSITECH.2015.7407813

Mike Yuliana, Aries Pratiarso, Amang Sudarsono

引用次数: 1

Improving web-based problem solving skills of students with a novel game-based Intelligent Tutoring System 用一种新颖的基于游戏的智能辅导系统提高学生在网络上解决问题的能力

2015 International Conference on Science in Information Technology (ICSITech) Pub Date : 2015-10-01 DOI: 10.1109/ICSITECH.2015.7407778

Danial Hooshyar, Rodina Binti Ahmad, M. Yousefi, Moein Fathi, S. Horng, Maral Hooshyar, Amir Ramezani Dooraki

引用次数: 5

Big data: Challenges and practical application 大数据:挑战与实际应用

2015 International Conference on Science in Information Technology (ICSITech) Pub Date : 2015-10-01 DOI: 10.1109/ICSITECH.2015.7407768

S. Horng

{"title":"Big data: Challenges and practical application","authors":"S. Horng","doi":"10.1109/ICSITECH.2015.7407768","DOIUrl":"https://doi.org/10.1109/ICSITECH.2015.7407768","url":null,"abstract":"Due to the data generated rapidly, many data can become knowledge after it is processed suitably. Many applications like Weather forecast, Stock market, Traffic control, Energy saving, Surveillance control, etc. have been developed based on Big Data processing [1, 2, 4, 5]. For the Big Data itself, it also creates some serious problems like huge dimensionality, data inconsistency, open access, security, privacy, uncertainty, etc. People like to live in smart cities as it is quite convenient to access to any things [3]. Especially for the Internet of Things, not only the devices are connected to the Internet but the human beings are also connected to the Internet. The smarter cities are, the bigger data create. How to manage such Big Data becomes a challenge problem. Especially, when the dimensionality becomes huge, there is really no efficient way to handle it. As you know, Big Data are really generated via Internet of Things. Hence the sensors are very important for both the devices and human beings. RFID is usually a sensor attached to a device but for the human beings, the sensors for face, fingerprints, veins, iris etc. are designed to get the specific physiological characteristic owned by a human being [6-15]. In this talk, we will introduce Big Data, Smart Cities and Biometric Recognition technologies and point out the problems we face and need to solve. Several practical systems are also introduced based on the Big Data processing.","PeriodicalId":367771,"journal":{"name":"2015 International Conference on Science in Information Technology (ICSITech)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131725471","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