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2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)最新文献

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Comparison of two fuzzy logic controller schemes for position control of AR.Drone 两种模糊逻辑控制器在ar无人机位置控制中的比较
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-29 DOI: 10.1109/ICITEED.2015.7408972
V. Indrawati, A. Prayitno, Gabriel Utomo
{"title":"Comparison of two fuzzy logic controller schemes for position control of AR.Drone","authors":"V. Indrawati, A. Prayitno, Gabriel Utomo","doi":"10.1109/ICITEED.2015.7408972","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7408972","url":null,"abstract":"This paper explains the AR.Drone position control scheme using Fuzzy Logic Controller (FLC) in a 3 dimensional coordinate. This control scheme uses two FLC block, for X-Y position and Z position. The inputs of FLC block for X-Y position are distance and angle, while the output is pitch and yaw rate. Z-position will be controlled by another FLC block, which has two inputs, namely setpoint of z and real position of z, while the output is vertical rate. To compensate the sideward speed of the drone, roll compensation is used. The implementation results show that the AR.Drone can achieve the desired position with settling time for x, y position approximately 6 seconds, while z position around 10 seconds. Response x has the oscillation of approximately 5% around the set point. The implementation result are also compared with other fuzzy control for the same setpoint position.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126866372","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: 8
A hybrid differential evolution with grey wolf optimizer for continuous global optimization 基于灰狼优化器的混合差分进化算法
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408911
Duangjai Jitkongchuen
{"title":"A hybrid differential evolution with grey wolf optimizer for continuous global optimization","authors":"Duangjai Jitkongchuen","doi":"10.1109/ICITEED.2015.7408911","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7408911","url":null,"abstract":"This paper proposes a hybrid differential evolution algorithm with grey wolf optimizer for solving continuous global optimization problems. The proposed algorithm introduces a new improved mutation schemes. In this algorithm, the control parameters are self-adapted by learning from previous evolutionary search. Beside, the grey wolf optimizer algorithm is used to enhance the crossover strategy. The performance of the proposed algorithm was evaluated on nine well-known benchmark functions and it was compared to particle swarm optimization, the traditional differential evolution algorithm and the self-adaptive differential evolution algorithm (jDE). The experimental results suggested that the proposed algorithm performed effectively to solving complex optimization problems.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"47 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":"127167769","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: 39
A hybrid ensemble of machine and statistical learning using confidence-based boosting 使用基于信心的增强的机器和统计学习的混合集成
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408909
Nattawut Chairatanasongporn, S. Jaiyen
{"title":"A hybrid ensemble of machine and statistical learning using confidence-based boosting","authors":"Nattawut Chairatanasongporn, S. Jaiyen","doi":"10.1109/ICITEED.2015.7408909","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7408909","url":null,"abstract":"Nowadays, the classification problems have become more challenging due to the various types of data set. Some data are appropriated for machine learning techniques and some data are appropriated for statistical leaning techniques. This work proposes a new hybrid ensemble of machine and statistical learning models using confidence-based boosting. The proposed method which uses variants of based classifiers can solve classification problems in variant data set. Moreover, combining the confidence value to the current boosting method can improve the performance of classification. The performance of proposed method is compared to the ensemble of decision trees and MRN created by Adaboost.M1 on data sets from UCI. The experimental results show that the proposed method can improve the accuracy in both binary and multiclass classification problems.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 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":"117010605","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
Reserch and development of the city commuter installed ICT functions in consideration of usability 考虑到可用性，研究和开发城市通勤者安装的ICT功能
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7409017
Kohei Okumura, K. Ishigami, Kitipat Sararuengpong, Sukkpranhachai Gatesichapakorn, Charoen Chaweechan, S. Prabhavat, K. Ishida, S. Kuchii
{"title":"Reserch and development of the city commuter installed ICT functions in consideration of usability","authors":"Kohei Okumura, K. Ishigami, Kitipat Sararuengpong, Sukkpranhachai Gatesichapakorn, Charoen Chaweechan, S. Prabhavat, K. Ishida, S. Kuchii","doi":"10.1109/ICITEED.2015.7409017","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7409017","url":null,"abstract":"It is commonly believed that the development of ICT contributes in various fields. Accordingly, the Ministry of Internal Affairs and Communications of Japan has promoted \"ICT community development business\". In local area where does not have enough public transport facilities, it is hard for elderly people who cannot drive a car to go out. Additionally, it is supposed that the time national disasters like earthquakes happen all of transport would be stopped. To solve these problems is the one of the goal of the business, and we research and develop a vehicle called city commuter that has convenience ICT functions. Its design is based on three-wheeled electric bicycle. This paper shows the way we decided the design of the city commuter. After that, it explains the detail of the method to create each ICT system. At the end, it describes the conclusion and the future prospects of this study.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 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":"128745470","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
The development of image-based algorithm to identify altitude change of a quadcopter 基于图像的四轴飞行器高度变化识别算法的开发
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408916
N. Pah, Henry Hermawan
{"title":"The development of image-based algorithm to identify altitude change of a quadcopter","authors":"N. Pah, Henry Hermawan","doi":"10.1109/ICITEED.2015.7408916","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7408916","url":null,"abstract":"Quadcopter, a popular Unmanned Aerial Vehicle (UAV), is able to land, take off, hover, and move on 3D trajectory. The ability requires accurate control of the rotors velocity based on input from its sensors. One of the control mechanisms is the altitude control. This paper presents a new algorithm to identify altitude change of a quadcopter based on image processing techniques. The algorithm is designed to be simple and efficient in terms of computation and memory usage. The algorithm identifies altitude change by calculating correlation function of 10 sampled rows of pixels. This paper also presents some experiments conducted to investigate the performance of the algorithm. The results indicated that the algorithm is able to properly identify altitude change with accuracy of more than 96%.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"8 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":"126663610","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
Design of a wireless current monitoring system for distribution feeders 配电馈线无线电流监测系统的设计
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408939
Siriluk Satthasujarit, N. Charbkaew, T. Bunyagul
{"title":"Design of a wireless current monitoring system for distribution feeders","authors":"Siriluk Satthasujarit, N. Charbkaew, T. Bunyagul","doi":"10.1109/ICITEED.2015.7408939","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7408939","url":null,"abstract":"In typical medium voltage feeder wireless current monitoring systems, the current measuring units send computed RMS values to a receiver unit. But these RMS values cannot be further processed by advanced algorithm and more information about faults cannot be extracted. To have more powerful computing capabilities, the measuring unit will have to use more powerful CPU which in turn requires higher power consumption. This is a limitation because the measuring unit has to be self-powered by current induction from the feeder line, and oftentimes there is inadequate current available. In this paper, we design the monitoring system so that the measuring unit wirelessly sends all the raw data of the sinusoidal waveforms to a receiving unit using high sampling rate (256 samples per cycle). The receiving unit is powered by low voltage distribution lines therefore removing the constraint of insulations and power consumption. We can then put the powerful CPU at the receiving unit end to process and analyses received raw data. Our wireless current monitoring system also used the split-core type current transformer (CT) for easier installation than conventional CT. We studied and presented the output results of the monitoring system under influence of 3 fault scenarios.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"147 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":"123491191","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
A comparative study of optimization methods for improving artificial neural network performance 提高人工神经网络性能的优化方法比较研究
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408908
Jesada Kajornrit
{"title":"A comparative study of optimization methods for improving artificial neural network performance","authors":"Jesada Kajornrit","doi":"10.1109/ICITEED.2015.7408908","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7408908","url":null,"abstract":"This paper proposes a comparative study of commonly-used global optimization methods to improve training performance of back-propagation neural networks. The optimization methods adopted herein include Simulated annealing, Direct search, and Genetic algorithm. These methods are used to optimize neural networks' weights and biases before using back-propagation algorithm in order to prevent the networks from local minima. Four benchmark datasets of prediction (regression) task were used to evaluate the established models. The experimental results indicated that optimizing neural network's parameters is a complicated problem due to its high dimension of variables to be optimized. And only genetic algorithm was able to solve this difficult optimization problem. In addition, this paper also applied this success method to predict monthly rainfall time series data in the northeast region of Thailand. The results indicated that using of genetic algorithm with back-propagation neural network is a recommended combination.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"126 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":"114849805","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: 8
Maximum likelihood estimator of SNR for QAM signals in AWGN channel AWGN信道中QAM信号信噪比的极大似然估计
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7409003
Nida Ishtiaq, S. A. Sheikh
{"title":"Maximum likelihood estimator of SNR for QAM signals in AWGN channel","authors":"Nida Ishtiaq, S. A. Sheikh","doi":"10.1109/ICITEED.2015.7409003","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7409003","url":null,"abstract":"The signal-to-noise ratio (SNR) is unknown to the receiver in most wireless communication applications, and its estimation is often required. This paper deals with the estimation of SNR in a wireless communication system employing quadrature amplitude modulation (QAM) signals in complex additive white Gaussian noise (AWGN) channel. The estimator has been designed using the maximum likelihood approach for data-aided scenario. The Cramer-Rao lower bound (CRLB) has also been derived for the estimator. The results have been observed for different square and cross QAM constellations, and for different packet lengths. The obtained results confirm the efficacy of the ML estimator with respect to CRLB.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"13 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":"127685831","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
Feasible solution of centralized power control for multi channel cognitive femtocell network 多信道认知飞蜂窝网络集中功率控制的可行方案
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7409006
A. F. Isnawati, Risanuri Hidayat, S. Sulistyo, I. Mustika
{"title":"Feasible solution of centralized power control for multi channel cognitive femtocell network","authors":"A. F. Isnawati, Risanuri Hidayat, S. Sulistyo, I. Mustika","doi":"10.1109/ICITEED.2015.7409006","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7409006","url":null,"abstract":"The importance of power control is related to the interference problem between users on the cognitive radio network. It also keeps the battery device remains durable. A completion method uses the algorithm feasible solution to the centralized power control by looking at the feasibility of power vector value. Feasible solution can be achieved if the value of the power user is non-negative, meaning that SINR target can be achieved and the system can be implemented. This study is focused on the multi-channel that applied to multi-user. It can be concluded that the addition of the channels will increase the SINR of user. The smaller the size of the user group, the higher the SIR can be achieved.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"24 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":"128120808","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
Object identification using knocking sound processing and reaction force from disturbance observer 利用敲击声处理和干扰观测器的反作用力进行目标识别
2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2015-10-01 DOI: 10.1109/ICITEED.2015.7408974
Watcharada Hamontree, C. Mitsantisuk, Jantanee Rungrangpitayagon
{"title":"Object identification using knocking sound processing and reaction force from disturbance observer","authors":"Watcharada Hamontree, C. Mitsantisuk, Jantanee Rungrangpitayagon","doi":"10.1109/ICITEED.2015.7408974","DOIUrl":"https://doi.org/10.1109/ICITEED.2015.7408974","url":null,"abstract":"Object classification has many method such as sound signal or object compression. However, sound signal comes with a high noise level. Therefore, force response of knocking object becomes a more interesting method. In this paper, the method which combination of force response and knocking sound is proposed to improve the analysis. The master-slave robot based on bilateral control system is used to knock the objects. Then the force response is estimated by disturbance observer instead of force sensor which has a limitation. The results of the experiment can show the different of each objects clearly.","PeriodicalId":207985,"journal":{"name":"2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"2 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":"127984775","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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