2016 2nd International Conference on Science and Technology-Computer (ICST)最新文献

Feature extraction and classification of the Indonesian syllables using Discrete Wavelet Transform and statistical features 基于离散小波变换和统计特征的印尼语音节特征提取与分类

2016 2nd International Conference on Science and Technology-Computer (ICST) Pub Date : 2016-10-01 DOI: 10.1109/ICSTC.2016.7877353

Domy Kristomo, Risanuri Hidayat, I. Soesanti

{"title":"Feature extraction and classification of the Indonesian syllables using Discrete Wavelet Transform and statistical features","authors":"Domy Kristomo, Risanuri Hidayat, I. Soesanti","doi":"10.1109/ICSTC.2016.7877353","DOIUrl":"https://doi.org/10.1109/ICSTC.2016.7877353","url":null,"abstract":"The major problem of most speech recognition systems is their unsatisfactory effectiveness (impact to recognition rate), efficiency (feature vector dimension), shift variance, and robustness in noisy condition. Feature extraction plays a very important role in the speech recognition process, because a better feature is good for improving the recognition rate. This paper presents a speech feature extraction by combining Discrete Wavelet Transform (DWT) and statistical method for recognizing the syllables sound in the Indonesian language. Three different mother wavelet transforms combined with statistical method (DWT-Statistical) are used as a feature extraction method. Multi-layer perceptron is used as a classifier after feature extraction process. This research aims to find the best properties in effectiveness and efficiency on performing feature extraction of each syllable sound to be applied in the speech recognition method on the intelligent systems. Experiments, in this study, show that the proposed method which uses 29 features set is applicable for feature extraction and classification of the Indonesian syllable. The results show that the average of recognition rate for the DWT-Statistical at the 7th level decomposition by using mother wavelet of Haar, Daubechies 2, and Coiflet 2 are 57.77%, 71.11%, and 67.77%, respectively.","PeriodicalId":228650,"journal":{"name":"2016 2nd International Conference on Science and Technology-Computer (ICST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116378734","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

CPU and memory performance analysis on dynamic and dedicated resource allocation using XenServer in Data Center environment 在数据中心环境下使用XenServer进行动态和专用资源分配的CPU和内存性能分析

2016 2nd International Conference on Science and Technology-Computer (ICST) Pub Date : 2016-10-01 DOI: 10.1109/ICSTC.2016.7877341

H. Ismail, M. Riasetiawan

{"title":"CPU and memory performance analysis on dynamic and dedicated resource allocation using XenServer in Data Center environment","authors":"H. Ismail, M. Riasetiawan","doi":"10.1109/ICSTC.2016.7877341","DOIUrl":"https://doi.org/10.1109/ICSTC.2016.7877341","url":null,"abstract":"Idle servers only utilize 10% to 20% of their potential. As such, configuring computer resource management has been considered to optimize servers' capabilities. In this research, a series of experiments were conducted using virtual machines (VMs) with different CPU and memory allocation techniques implemented in XenServer. The created virtual machines ran benchmarks and stress test applications with a preconfigured test and duration to understand the virtual machines' performance when given a continuous load. These applications consist of CPU, memory, disk intensive app as well as benchmark apps. The performance parameters in this research were the benchmark apps results. These experiments indicate that the best CPU allocation for file transfer and MySQL query tests are Priority Weight and Cap CPU allocation, with performance differences of around 75% compared to Default CPU allocation. Meanwhile, the CPU allocation method for Stress-ng CPU stress test, Stress-ng VM stress test, and UnixBench tests is the Default CPU allocation with a performance difference of around 45%. Furthermore, Default CPU allocation is the best method of CPU allocation for web servers with performance differences of between 5% to 29% over Priority Weight and Cap CPU allocation. The best memory allocation method is Static Memory allocation, with a performance difference between 7% to 53% over Dynamic Memory allocation in all tests.","PeriodicalId":228650,"journal":{"name":"2016 2nd International Conference on Science and Technology-Computer (ICST)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116612751","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

SHA-2 and SHA-3 based sequence randomization algorithm 基于SHA-2和SHA-3的序列随机化算法

2016 2nd International Conference on Science and Technology-Computer (ICST) Pub Date : 2016-10-01 DOI: 10.1109/ICSTC.2016.7877365

Kuntoro Adi Nugroho, A. Hangga, I. Sudana

引用次数: 7

Power estimation of G.A. Siwabessy Multi-Purpose Reactor at start-up condition using artificial neural network with input variation 基于输入变化的人工神经网络对大功率多用途电抗器启动状态的功率估计

2016 2nd International Conference on Science and Technology-Computer (ICST) Pub Date : 2016-10-01 DOI: 10.1109/ICSTC.2016.7877362

Nazrul Effendy, Nur Chalim Wachidah, Balza Achmad, Prasojo Jiwandono, M. Subekti

引用次数: 4

A study on algorithms of pupil diameter measurement 瞳孔直径测量算法的研究

2016 2nd International Conference on Science and Technology-Computer (ICST) Pub Date : 2016-10-01 DOI: 10.1109/ICSTC.2016.7877372

Juni Nurma Sari, A. N. Hanung, Edi N Lukito, P. Santosa, R. Ferdiana

引用次数: 9

Enhancing Quality of Service for eGovernment interoperability based on adaptive ontology 基于自适应本体的电子政务互操作性服务质量提升研究

2016 2nd International Conference on Science and Technology-Computer (ICST) Pub Date : 2016-10-01 DOI: 10.1109/ICSTC.2016.7877356

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

引用次数: 8

Geographical Information System for mapping accident-prone roads and development of new road using Multi-Attribute Utility method 基于多属性效用方法的事故多发道路地理信息系统及新道路开发

2016 2nd International Conference on Science and Technology-Computer (ICST) Pub Date : 2016-10-01 DOI: 10.1109/ICSTC.2016.7877349

Anik Vega Vitianingsih, Dwi Cahyono

{"title":"Geographical Information System for mapping accident-prone roads and development of new road using Multi-Attribute Utility method","authors":"Anik Vega Vitianingsih, Dwi Cahyono","doi":"10.1109/ICSTC.2016.7877349","DOIUrl":"https://doi.org/10.1109/ICSTC.2016.7877349","url":null,"abstract":"The means of transportation development which are not offset by adequate roads construction will lead the traffic density exceeds the volume capacity of the roads. This will cause the access road difficult to pass thus often raises the risk of traffic congestion and lead to traffic accidents. This paper will discuss the use of Geographical Information System (GIS) technology in analyzing spatial data and attribute data (geoprocessing layer) in the form of mapping accident-prone roads and mapping dense traffic lanes as an alternative to the development of new road using Multiple-Attribute Utility Theory (MAUT) method. Geoprocessing layer test conducted on the roads in Gresik District, Indonesia shows the accident-prone roads mapping points, with the average yield of low-risk accident-prone roads are 58%, 24% are low-risk accident-prone roads and 18% roads condition are high-risk accident-prone roads. Geoprocessing for alternative development of new road as the consequences of the density of traffic lanes, in which the uncrowded road categories are 36%, dense road 32% and very dense roads 32%. This system can be used by the government of Gresik District as the decision makers to plan for the alternative development of new road area, therefore traffic density can be minimized.","PeriodicalId":228650,"journal":{"name":"2016 2nd International Conference on Science and Technology-Computer (ICST)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130212175","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

Epilepsy detection on EEG data using backpropagation, firefly algorithm and simulated annealing 基于反向传播、萤火虫算法和模拟退火的脑电图数据癫痫检测

2016 2nd International Conference on Science and Technology-Computer (ICST) Pub Date : 2016-10-01 DOI: 10.1109/ICSTC.2016.7877368

A. Damayanti, A. B. Pratiwi, Miswanto

引用次数: 13

Automated detection and classification techniques of Acute leukemia using image processing: A review 基于图像处理的急性白血病自动检测与分类技术综述

2016 2nd International Conference on Science and Technology-Computer (ICST) Pub Date : 2016-10-01 DOI: 10.1109/ICSTC.2016.7877344

R. G. Bagasjvara, I. Candradewi, S. Hartati, A. Harjoko

引用次数: 32

Numerical simulation of the effect of axial distance between two rotors in counter-rotating wind turbines 对转风力机转子间轴向距离影响的数值模拟

2016 2nd International Conference on Science and Technology-Computer (ICST) Pub Date : 2016-10-01 DOI: 10.1109/ICSTC.2016.7877338

Y. H. Irawan, M. A. Bramantya

引用次数: 11