2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies最新文献

Recognizing Document's Originality by laser Surface Authentication 激光表面认证识别文件原创性

2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies Pub Date : 2010-12-02 DOI: 10.1109/ACT.2010.15

W. Samsul, H. Uranus, M. D. Birowosuto

引用次数: 14

FPGA Based Analysis and Multiplication of Digital Signals 基于FPGA的数字信号分析与乘法

2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies Pub Date : 2010-12-02 DOI: 10.1109/ACT.2010.20

Z. M. Yusuf, S. A. Abbasi, A. Alamoud

引用次数: 7

A Formal Design of Automation Systems Based on Operation Modes Using High-level Petri Net 基于运行模式的高级Petri网自动化系统形式化设计

2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies Pub Date : 2010-12-02 DOI: 10.1109/ACT.2010.18

S. Panjaitan

引用次数: 0

Intelligent Searching Using Association Analysis for law Documents of Indonesian Government 基于关联分析的印尼政府法律文件智能检索

2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies Pub Date : 2010-12-02 DOI: 10.1109/ACT.2010.48

Iis Siti Darawaty, S. Syarah, A. Nugroho, Fara Ayuningtyas, Yuki Istianto, Bowo Prasetyo, M. T. Uliniansyah, Made Gunawan, Desi Ani, Asril Jarin, Dwi Handoko

引用次数: 0

Point-to-Point OMNeT++ Based Simulation of Reliable Transmission Using Realistic Segmentation and Reassembly with Error Control 基于omnet++的点对点可靠传输仿真——基于真实分段和纠错控制的重组

2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies Pub Date : 2010-12-02 DOI: 10.1109/ACT.2010.25

Erwin Anggadjaja, I. Mcloughlin

引用次数: 11

Advance Control and Monitoring of Daily Electricity Consumption Using a Smart Energy Detective 利用智能能源探测器提前控制和监测日常用电量

2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies Pub Date : 2010-12-02 DOI: 10.1109/ACT.2010.12

A. Fakharuddin, A. Abdalla, Mohd Redzuan, M. Rauf, R. Abdullah

引用次数: 0

Swarm Routing Protocol for Mobile Ad Hoc Networks 移动Ad Hoc网络的群路由协议

2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies Pub Date : 2010-12-02 DOI: 10.1109/ACT.2010.29

S. Gautam

引用次数: 6

Stock Price Prediction: Comparison of Arima and Artificial Neural Network Methods - An Indonesia Stock's Case 股票价格预测:Arima与人工神经网络方法的比较——以印尼股票为例

2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies Pub Date : 2010-12-02 DOI: 10.1109/ACT.2010.45

Yohanes Budiman Wijaya, S. Kom., T. A. Napitupulu

引用次数: 30

Artificial Neural Network Application in Gross Domestic Product Forecasting: An Indonesia Case 人工神经网络在国内生产总值预测中的应用:以印尼为例

2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies Pub Date : 2010-12-02 DOI: 10.1109/ACT.2010.49

Liliana, T. A. Napitupulu

{"title":"Artificial Neural Network Application in Gross Domestic Product Forecasting: An Indonesia Case","authors":"Liliana, T. A. Napitupulu","doi":"10.1109/ACT.2010.49","DOIUrl":"https://doi.org/10.1109/ACT.2010.49","url":null,"abstract":"Gross Domestic Product (GDP) is a benchmark for economic production conditions of a country. Estimates of economic growth in the coming year in a country has important roles, among others as a benchmark in determining business plans for business entities, and the basis for devising government fiscal policy. Artificial Neural Network (ANN) has been increasingly recognized as a good forecasting tool in various fields. Its nature that can mimic the workings of the human brain makes it flexible for non-linear and non-parametric data. GDP growth forecasting techniques using ANN has been widely used in various countries, such as the United States, Canada, Germany, Austria, Iran, China, Japan and others. In Indonesia, forecasting of GDP is only done by government institutions, namely National Planning Board, using macroeconomic model. In this study, ANN is used as a tool for forecasting GDP growth in Indonesia, using some variables, such as GDP growth in the two previous periods, population growth rate, inflation, exchange rate and political stability and security conditions in Indonesia. Results from this study indicate that ANN forecasts GDP relatively better than the one issued by the government. Further study would be to use ANN to predict other economic indicators.","PeriodicalId":147311,"journal":{"name":"2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123965714","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: 16

Failure Detection and Recovery in the Batch Process Automation Domain Using Automation Agents 使用自动化代理在批处理自动化域中进行故障检测和恢复

2010 Second International Conference on Advances in Computing, Control, and Telecommunication Technologies Pub Date : 2010-12-02 DOI: 10.1109/ACT.2010.27

M. Merdan, W. Lepuschitz, Bakir Šahovic, Mathieu Vallée

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引用次数: 3