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2018 4th International Conference on Science and Technology (ICST)最新文献

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Multilevel Wavelet Packet Entropy and Support Vector Machine for Epileptic EEG Classification 多层次小波包熵与支持向量机的癫痫脑电分类
2018 4th International Conference on Science and Technology (ICST) Pub Date : 2018-08-01 DOI: 10.1109/ICSTC.2018.8528634
I. Wijayanto, Achmad Rizal, S. Hadiyoso
{"title":"Multilevel Wavelet Packet Entropy and Support Vector Machine for Epileptic EEG Classification","authors":"I. Wijayanto, Achmad Rizal, S. Hadiyoso","doi":"10.1109/ICSTC.2018.8528634","DOIUrl":"https://doi.org/10.1109/ICSTC.2018.8528634","url":null,"abstract":"Electroencephalogram (EEG) is a bioelectric signal produced by brain activity. The abnormalities that occur in the brain, such as epilepsy, can be seen through a particular pattern on the EEG signal. A recurrent unprovoked seizure occurs in epilepsy patients as a result of excessive brain cell activity. EEG is a non-linear and non-stationary signal, so a visual interpretation is difficult to conduct. One method to measure EEG characteristics is the entropy that quantifies the signal complexity. Several studies have been conducted to classify epileptic EEG signal using entropy as the feature set. Previous studies has shown a promising result for epileptic EEG signal classification. However, to achieve effectiveness for the classification process, we propose a new method to reduce the number of features with a competitive accuracy. In this research, we propose a wavelet-based entropy method named multilevel wavelet packet entropy (MWPE) for automatic EEG signal analysis. MWPE is calculated from the wavelet packet entropy (WPE) which performed at some decomposition level. WPE was calculated from wavelet packet decomposition (WPD) which give more informations in every signal subbands compared to discrete wavelet transform (DWT). Using MWPE, we got informations about the distribution of subband energy in every level of signal decomposition. MWPE and support vector machine (SVM) are used as the feature extraction and classifier respectively. The result showed that the method is able to classify three classes of the EEG data set (normal, interictal, seizure). The best accuracy is 94.3% which achieved by using a 1–5 decomposition level with biorthogonal 2.8 wavelet, and cubic or quadratic SVM. MWPE provides high accuracy with relatively few features.","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129932404","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: 26
Analyzing the Performance of Machine Learning Algorithms in Anomaly Network Intrusion Detection Systems 异常网络入侵检测系统中机器学习算法的性能分析
2018 4th International Conference on Science and Technology (ICST) Pub Date : 2018-08-01 DOI: 10.1109/ICSTC.2018.8528645
Pascal Maniriho, T. Ahmad
{"title":"Analyzing the Performance of Machine Learning Algorithms in Anomaly Network Intrusion Detection Systems","authors":"Pascal Maniriho, T. Ahmad","doi":"10.1109/ICSTC.2018.8528645","DOIUrl":"https://doi.org/10.1109/ICSTC.2018.8528645","url":null,"abstract":"With the deployment of numerous networked devices over the internet, the protection of organizational and personal computer networks has become vital owing to new malicious attacks which are rapidly increasing. Network intrusion detection systems (NIDS) are among the most known and reputed network security tools. Maintaining security, data confidentiality, and data integrity are the primary goals of the NIDS. In this way, this paper investigates the application and performance of machine learning algorithms in NIDS. Four algorithms namely, Random Forest, Decision Stump, Naive Bayes, Stochastic Gradient Descent (SGD) combined with different feature selection techniques (Correlation Ranking Filter and Gain Ratio Feature Evaluator) are applied to implement the NIDS models using the NSL-KDD dataset which is the new version of KDD-Cup99. The comparative analysis conducted based on the performance of these algorithms reveals that the Random Forest performs better than the other algorithms regarding the predicted accuracy and detection error.","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129944017","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: 11
The Comparison of Material and Force Difference on the Development of Lower Limb Exoskeleton Design for Post Stroke Patients 材料与力差对脑卒中后患者下肢外骨骼设计发展的影响
2018 4th International Conference on Science and Technology (ICST) Pub Date : 2018-08-01 DOI: 10.1109/ICSTC.2018.8528709
D. Kuswanto, Ibnu Arif Wicaksono, Faiqoh Agustin
{"title":"The Comparison of Material and Force Difference on the Development of Lower Limb Exoskeleton Design for Post Stroke Patients","authors":"D. Kuswanto, Ibnu Arif Wicaksono, Faiqoh Agustin","doi":"10.1109/ICSTC.2018.8528709","DOIUrl":"https://doi.org/10.1109/ICSTC.2018.8528709","url":null,"abstract":"Stroke has become a leading cause of paralysis in some countries such as Indonesia. Exoskeleton as one of the supporting tools which is used after the stroke attack playing an important role to help the post stroke patient in the daily life. A study on the material and torsion is conducted in this research to obtain an information in regards to the displacement, strain and stress of the product during the simulation. As the result of the simulation, a comparison between some the materials is known and should be considered during the prototyping process.","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127800067","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: 1
Do you see what I see? Taking perspective of others using facial images 你看到我看到的了吗?利用面部图像来观察他人
2018 4th International Conference on Science and Technology (ICST) Pub Date : 2018-08-01 DOI: 10.1109/ICSTC.2018.8528614
Y. Soelistio
{"title":"Do you see what I see? Taking perspective of others using facial images","authors":"Y. Soelistio","doi":"10.1109/ICSTC.2018.8528614","DOIUrl":"https://doi.org/10.1109/ICSTC.2018.8528614","url":null,"abstract":"Albeit many HCI / emotion recognition studies use facial expressive images, few scrutinize the accuracies of the people (experimenters and participants) in perceiving the expressions representing the intended emotions. The misinterpretation of the expression will put bias in the data and introduce questions on the validity of the studies. The possibility of misinterpretation of the expressions will be the focus of the experiment conducted in this study. The experiment will evaluate the ability of people in taking the perspective of others in spite of their current emotions and gender, and whether the expressions can be universally perceived. This study find that it is relatively safe to use facial expressive images for research as long as the emotions are exclusively within the six basic emotions.","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117092355","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
State of Charge (SoC) Analysis and Modeling Battery Discharging Parameters 充电状态(SoC)分析与电池放电参数建模
2018 4th International Conference on Science and Technology (ICST) Pub Date : 2018-08-01 DOI: 10.1109/ICSTC.2018.8528631
M. I. Wahyuddin, P. Priambodo, H. Sudibyo
{"title":"State of Charge (SoC) Analysis and Modeling Battery Discharging Parameters","authors":"M. I. Wahyuddin, P. Priambodo, H. Sudibyo","doi":"10.1109/ICSTC.2018.8528631","DOIUrl":"https://doi.org/10.1109/ICSTC.2018.8528631","url":null,"abstract":"Estimating battery capacity or State of Charge (SoC) is indispensable when using the battery as a backup of electrical energy for various applications. Examples of battery applications that are used are trend mobile devices, electric vehicles, renewable energy, and many other applications. SoC batteries can be estimated using several techniques available today, mostly based on battery modeling. There are at least three models that have been introduced in recent developments today. Three known battery models are electrochemical models, ana-lyticaUmathematical models, and electrical circuit models. In this paper, we use battery modeling based on electrical circuit models to analyze the characteristics of battery parameters during the discharging process. The reason is, using this model will be easier to analyze the measurement data such as voltage, current, and internal resistance values as parameters to estimate SoC.","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122399655","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: 24
EEG-Based Emotion Classification Using Wavelet Decomposition and K-Nearest Neighbor 基于小波分解和k近邻的脑电图情绪分类
2018 4th International Conference on Science and Technology (ICST) Pub Date : 2018-08-01 DOI: 10.1109/ICSTC.2018.8528652
A. E. Putra, Catur Atmaji, Fajrul Ghaleb
{"title":"EEG-Based Emotion Classification Using Wavelet Decomposition and K-Nearest Neighbor","authors":"A. E. Putra, Catur Atmaji, Fajrul Ghaleb","doi":"10.1109/ICSTC.2018.8528652","DOIUrl":"https://doi.org/10.1109/ICSTC.2018.8528652","url":null,"abstract":"Research on the correlation of EEG signals to emotions based on high/low arousal and valence, has been done before. Some research using the Eigen-Emotion Pattern Kernel method and the Support Vector Machine. The others using the Higuchi Fractal Dimension (FD) Spectrum, the Multifractal Detrended Fluctuation Analysis (MDFA) and the Hidden Markov Model (HMM), but the accuracy is not too good. This research uses Wavelet Decomposition and k-Nearest Neighbor to improve accuracy. The results show that the optimum k values of the k-Nearest Neighbor parameters for this research are 21. Valence's classification accuracy results using Wavelet and k-NN, compared with previous research has the same relative accuracy, ie 57.5%. While the result of arousal classification accuracy using wavelet and k-NN is 64.0%, better than previous research.","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131571728","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
Welcoming Remarks from the Chairman 主席致欢迎辞
2018 4th International Conference on Science and Technology (ICST) Pub Date : 2018-08-01 DOI: 10.1109/icstc.2018.8528567
A. E. Tontowi, G. Mada
{"title":"Welcoming Remarks from the Chairman","authors":"A. E. Tontowi, G. Mada","doi":"10.1109/icstc.2018.8528567","DOIUrl":"https://doi.org/10.1109/icstc.2018.8528567","url":null,"abstract":"Data and","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"95 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132236433","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
Life Expectancy of Transformer Insulation System by Reconditioning 变压器绝缘系统的预期寿命
2018 4th International Conference on Science and Technology (ICST) Pub Date : 2018-08-01 DOI: 10.1109/ICSTC.2018.8528289
Yuli Rodiah, T. Haryono, Suharyanto
{"title":"Life Expectancy of Transformer Insulation System by Reconditioning","authors":"Yuli Rodiah, T. Haryono, Suharyanto","doi":"10.1109/ICSTC.2018.8528289","DOIUrl":"https://doi.org/10.1109/ICSTC.2018.8528289","url":null,"abstract":"Reduction of waste oils and lubricants are indispensable because they are an important part of the volume of the organic waste generated worldwide. The recommended procedure for extending the lifetime of transformer oil is the reconditioning and reclamation process. The breakdown voltage test and the viscosity test of the transformer oil dielectric properties derived from the high vacuum purification process were investigated in this research. Varying transformer loading is represented as an increase in the temperature range from 30°C to 130°C. The test results of the breakdown voltage indicated that the reconditioning process increases the breakdown voltage value from 28.73 k V to 75.32 k V in the second round. The application of load variation on the transformer decreased the lifetime value of the transformer oil, but the reconditioning process was able to reduce the decline of from 0.01333% to 0.00889%.","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125675041","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
A Study on Communication System in VANET VANET通信系统的研究
2018 4th International Conference on Science and Technology (ICST) Pub Date : 2018-08-01 DOI: 10.1109/ICSTC.2018.8528640
Ronald Adrian, S. Sulistyo, I. Mustika
{"title":"A Study on Communication System in VANET","authors":"Ronald Adrian, S. Sulistyo, I. Mustika","doi":"10.1109/ICSTC.2018.8528640","DOIUrl":"https://doi.org/10.1109/ICSTC.2018.8528640","url":null,"abstract":"VANET (Vehicle Ad-Hoc Network) is one of the new technologies in the communication system. It supports inter-vehicle communication through the 802. 11p.Many studies have looked at improving the quality of the communication system in VANET. Optimization and effectiveness issues in VANET are still open to exploration. Some researchers have used the natural-inspired algorithm to accomplish the issues in the VANET environment. Many tools can be used as a VANET simulator. While they are helpful, only some of these tools can be used for sophisticated analysis. It can support in-depth analysis or good graphical user interface features. But they cannot be thoroughly combined now. Each simulator has a different characteristic to produce a result. It helps to make a realistic traffic model in VANET. In this paper, we provide a brief information about the VANET communication systems, simulators and models.","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122187685","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: 11
Fault Detection on the Battery SOC-OCV by Using Observer 基于观测器的电池SOC-OCV故障检测
2018 4th International Conference on Science and Technology (ICST) Pub Date : 2018-08-01 DOI: 10.1109/ICSTC.2018.8528607
Yohannes C. H. Yuwono, B. R. Dewangga, A. Cahyadi, S. Herdjunanto
{"title":"Fault Detection on the Battery SOC-OCV by Using Observer","authors":"Yohannes C. H. Yuwono, B. R. Dewangga, A. Cahyadi, S. Herdjunanto","doi":"10.1109/ICSTC.2018.8528607","DOIUrl":"https://doi.org/10.1109/ICSTC.2018.8528607","url":null,"abstract":"A Battery is utilized as an energy supply in many applications including electric vehicle. It is used for process such as charge and discharge. Utilization of batteries needs effective processing called Battery Management Systems (BMS). It provides an optimal operation such that battery has a longer lifetime. If the battery operation is not optimal it will result in error which may lead to a serious damage or failure. This failure can be anticipated by performing a fault detection on the battery. The purpose of this paper is to detect a fault on the battery SOC-OCV characteristics, i.e., a change of SOC-OCV curve by using an observer designed for simple battery model. A simulation is performed to demonstrate the observer to detect SOC-OCV fault occuring when the battery is discharged with a constant current. The results show that the observer can be utilized to detect the battery SOC-OCV fault.","PeriodicalId":196768,"journal":{"name":"2018 4th International Conference on Science and Technology (ICST)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121420956","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
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