2015 International Conference on Data and Software Engineering (ICoDSE)最新文献_第4页

Optimization weather parameters influencing rainfall prediction using Adaptive Network-Based Fuzzy Inference Systems (ANFIS) and linier regression 基于自适应网络的模糊推理系统(ANFIS)和线性回归优化影响降雨预测的天气参数

2015 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2015-11-01 DOI: 10.1109/ICODSE.2015.7436989

D. Munandar

{"title":"Optimization weather parameters influencing rainfall prediction using Adaptive Network-Based Fuzzy Inference Systems (ANFIS) and linier regression","authors":"D. Munandar","doi":"10.1109/ICODSE.2015.7436989","DOIUrl":"https://doi.org/10.1109/ICODSE.2015.7436989","url":null,"abstract":"This paper conducted a study to investigate the ability of Adaptive Network-Based Fuzzy Inference System (ANFIS) in doing modeling to determine the weather parameters that influence the output parameters of rainfall (RF) and have good predictive ability. Plotting the data of the prediction is also made to the Linear Regression (LR). The data is tested daily at the weather station in Badau area, Belitung province, Indonesia. A total consisting of 433 pairs of data for 1 year containing seven weather parameters as input and one parameter as output. As for the performance evaluation criteria used indicator of the ability of ANFIS statistic model: Pearson correlation coefficient (r), coefficient of determination (R2) and root mean squared error (RMSE), from several input parameters in the analysis, 1-input RHmax most optimal influencing rainfall (RF) output, (RMSE = 1.8896 mm / day at the training phase and RMSE = 3.2370 mm / day at the checking phase). Plot the data ANFIS against Linear Regression, 1-input parameter RHmax has optimal value of the influence of rainfall (RF) output with optimal statistical indicator (R2 = 0.7065, r = 0.8405, RMSE = 0.8732 mm / day).","PeriodicalId":374006,"journal":{"name":"2015 International Conference on Data and Software Engineering (ICoDSE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115490653","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

Interoperability model for eGoverment service based on adaptive ontology 基于自适应本体的电子政务服务互操作性模型

2015 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2015-11-01 DOI: 10.1109/ICODSE.2015.7436986

I. W. Ordiyasa, L. Nugroho, P. Santosa, R. Ferdiana, Wahyudi Kumorotomo

引用次数: 3

Knowledge discovery on drilling data to predict potential gold deposit 钻探资料知识发现预测潜在金矿

2015 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2015-11-01 DOI: 10.1109/ICODSE.2015.7436987

G. Saptawati, Gusti Ngurah Mega Nata

{"title":"Knowledge discovery on drilling data to predict potential gold deposit","authors":"G. Saptawati, Gusti Ngurah Mega Nata","doi":"10.1109/ICODSE.2015.7436987","DOIUrl":"https://doi.org/10.1109/ICODSE.2015.7436987","url":null,"abstract":"Drilling is one of activities in mineral exploration Industry which is very important, risky and the most expensive. However, geologist are still using qualitative judgments in determining drilling targets. As a result, the number of failures in drilling become very high. Prediction of drilling target is important to minimize the risk of failure and minimize the loss of opportunities to find a new drilling area. Drilling data consists of geochemical data, geophysical data and geological data. Based on the theory of magmatic-hydrothermal, geophysical data and geochemical data, it is possible to build predictive models to predict potential subsurface Au. Meanwhile, geological data can be used to determine the tendency of gold presence along with lithology and alteration. The problem arises when determining data mining techniques to be used to support the prediction of mineral potential, how to represent drilling data for the mining process. This research focused on the analysis of data mining techniques to mine the knowledge from drilling data, and also the drilling data representation for the mining process. From the analysis result, the classification of data and frequent itemsets mining is capable to support the prediction of drilling targets. The test results using two areas of exploration drilling show that classification on drilling data can be used to predict the potential for new drilling target. Moreover, frequent pattern mining can be used to mine the occurrence pattern of Au together with lithology and alteration. Both the results of data mining can help mineral exploration industries in predicting the Au subsurface potential. The goal is to minimize the risk of failure of drilling and support the industry's decision to be quantitatively decide a new drilling target.","PeriodicalId":374006,"journal":{"name":"2015 International Conference on Data and Software Engineering (ICoDSE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124037835","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: 7

Quantifying visual attention and visually induced motion sickness during day-night driving and sleep deprivation 量化视觉注意和视觉诱发晕车在白天夜间驾驶和睡眠剥夺

2015 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2015-11-01 DOI: 10.1109/ICODSE.2015.7436996

S. Wibirama, T. Wijayanto, H. A. Nugroho, Muhammad Bahit, Mumtaz N. Winadi

{"title":"Quantifying visual attention and visually induced motion sickness during day-night driving and sleep deprivation","authors":"S. Wibirama, T. Wijayanto, H. A. Nugroho, Muhammad Bahit, Mumtaz N. Winadi","doi":"10.1109/ICODSE.2015.7436996","DOIUrl":"https://doi.org/10.1109/ICODSE.2015.7436996","url":null,"abstract":"Investigation of driver's physical fitness is an important research topic in accident prevention and intelligent driver monitoring system. Visual attention is one of physical fitness indicators that can be measured quantitatively. Driving simulator can be used to support observation of visual attention and behavior of the driver. On the other side, biomedical effect of driving simulator namely visually induced motion sickness (VIMS) is actively investigated to encourage appropriate usage of the simulator. However, there is no information on how sleep deprivation and day-night difference provoke VIMS and affect visual attention during simulation. In this paper, we present a novel investigation on effect of sleep deprivation and day-night difference on VIMS and visual attention using simulator sickness questionnaire (SSQ) and eye tracking. Statistical analysis on SSQ data shows that day-night difference and sleep deprivation induce symptoms of nausea (F(2,22)=5.825, p<;0.05), oculomotor (F(2,22)=12.657, p<;0.05), and disorientation (F(2,22)=8.270, p<;0.05) significantly. Results of eye tracking analysis show that sleep deprivation and day-night difference affect visual attention significantly (F(2,22)=3.904, p<;0.05). Experimental results suggest that driving simulation is better used in day-time to minimize VIMS. Furthermore, proper night rest beforehand and good room illumination are important to support physical fitness during day-time driving.","PeriodicalId":374006,"journal":{"name":"2015 International Conference on Data and Software Engineering (ICoDSE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133551314","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: 12

Implementation and validation of business process deviation detection framework 业务流程偏差检测框架的实现和验证

2015 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2015-11-01 DOI: 10.1109/ICODSE.2015.7436983

Budi J. Achmadi, B. Hendradjaya, W. Sunindyo

{"title":"Implementation and validation of business process deviation detection framework","authors":"Budi J. Achmadi, B. Hendradjaya, W. Sunindyo","doi":"10.1109/ICODSE.2015.7436983","DOIUrl":"https://doi.org/10.1109/ICODSE.2015.7436983","url":null,"abstract":"A business process can be defined as a collection of structured and related tasks or activities that produce a specific product or service for particular customers in an organization. Currently, there are many software applications that have been developed to support those activities. The managers of the organization expect that all processes will run correctly, however some deviations to the processes may still occur. The major challenge in dealing with deviations is how to detect and report them to the managers before too late. In this paper, we proposed the Business Process Deviation Detection (BPDD) framework for efficient deviation detection. The validation of this framework is checked by injecting some deviations to the original workflow, to see the effect and performance of the framework. The test has been conducted in a government agent that is responsible for carrying the testing and development services for the metal and mechanical industries. The result shows that some deviations can be detected earlier and the framework can help reducing the deviations in the following year after the first implementation.","PeriodicalId":374006,"journal":{"name":"2015 International Conference on Data and Software Engineering (ICoDSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126973436","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

Software architecture for social media data analytics 用于社交媒体数据分析的软件架构

2015 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2015-11-01 DOI: 10.1109/ICODSE.2015.7437000

Anggi Perwitasari, Saiful Akbar, G. A. Putri Saptawati

{"title":"Software architecture for social media data analytics","authors":"Anggi Perwitasari, Saiful Akbar, G. A. Putri Saptawati","doi":"10.1109/ICODSE.2015.7437000","DOIUrl":"https://doi.org/10.1109/ICODSE.2015.7437000","url":null,"abstract":"Nowadays, social media has grown very rapidly and has a growing number of users making it an attractive data source for analysis. A software that is able to collect data from social media, pre-process and analyze the data to generate knowledge and information as desired is required. Usually, the software is applicable only for a specific social media. The paper proposes an architecture for Social Media Data Analytics such that different softwares for analyzing different social media can be built based on it. The proposed architecture is adapted from Rahman's architecture that originally supports only for analyzing data from Facebook Different form Rahman's architecture, the proposed architecture contains of 4 blocks of new units, i.e. (1) Data Collection and Temporary Storage Unit, (2) Data and Text Pre-processing Unit, (3) Network Analysis and Data Mining Unit, and (4) Knowledge Representation Unit. The software architecture has meet three main aspects of architectural quality attributes conceptual integrity, correctness and completeness and buildability. Based on the architecture, a software has been built. The software developed by analyzing its functionalty for analyzing data from Facebook and Twitter. Thus the software is expanded such that it has functionality for analyzing data from Instagram. In order for that, we define 4 new classes (of 12 classes) extended from the original classes defined in the original software. It shows that the software built based on the proposed architecture can be extended form different type of social media with minimal effort. Using the factory method pattern, the software supports structural configurability and structural flexibility such that the extension can be done using minimal effort.","PeriodicalId":374006,"journal":{"name":"2015 International Conference on Data and Software Engineering (ICoDSE)","volume":"93 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125976562","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

Feedback fraud detection on online marketplace system based on fusion approach 基于融合方法的在线市场系统反馈欺诈检测

2015 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2015-11-01 DOI: 10.1109/ICODSE.2015.7436981

M. Elfahmi, G. Saptawati

引用次数: 1

Implementation of an Optical Character Reader (OCR) for Bengali language 孟加拉语光学字符阅读器(OCR)的实现

2015 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2015-11-01 DOI: 10.1109/ICODSE.2015.7436984

Muhammed Tawfiq Chowdhury, Md Saiful Islam, Baijed Hossain Bipul, Md. Khalilur Rhaman

{"title":"Implementation of an Optical Character Reader (OCR) for Bengali language","authors":"Muhammed Tawfiq Chowdhury, Md Saiful Islam, Baijed Hossain Bipul, Md. Khalilur Rhaman","doi":"10.1109/ICODSE.2015.7436984","DOIUrl":"https://doi.org/10.1109/ICODSE.2015.7436984","url":null,"abstract":"Optical Character Recognition (OCR) is the process of extracting text from an image. The main purpose of an OCR is to make editable documents from existing paper documents or image files. Significant number of algorithms is required to develop an OCR and basically it works in two phases such as character and word detection. In case of a more sophisticated approach, an OCR also works on sentence detection to preserve a document's structure. It has been found that researchers put lots of efforts for developing a Bengali OCR but none of them is completely error free. To take this issue in consideration, the latest 3.03 version of Tesseract OCR engine for Windows operating system is used to develop an OCR for Bengali language. Moreover, 18110 characters and 2617 words are used to make the OCR's library. In this research, `Solaimanlipi' font and 200 input files are used to test the accuracy of OCR. It is found that for clean image files, the accuracy of the software is as high as 97.56%. It is to be noted that accuracy is measured as the percentage of correct characters and words.","PeriodicalId":374006,"journal":{"name":"2015 International Conference on Data and Software Engineering (ICoDSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132189271","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: 9

Literature Review1 文学Review1

2015 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2015-11-01 DOI: 10.1109/icodse.2015.7436968

S. Dhandapani

引用次数: 8

A proposal for a quality model for e-govemment website 电子政府网站质量模型的构想

2015 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2015-11-01 DOI: 10.1109/ICODSE.2015.7436965

B. Hendradjaya, Rina Praptini

引用次数: 10