2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)最新文献_第8页

Piezo stack actuator saturation control of the coupled active suspended handle-die grinder using various PID-anti-windup control schemes 采用各种pid -抗上卷控制方案对耦合主动悬柄-模具磨床的压电堆作动器饱和控制

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893539

A. Mazlan, Z. M. Ripin, Wan Mohd Amri Wan Mamat Ali

{"title":"Piezo stack actuator saturation control of the coupled active suspended handle-die grinder using various PID-anti-windup control schemes","authors":"A. Mazlan, Z. M. Ripin, Wan Mohd Amri Wan Mamat Ali","doi":"10.1109/ICCSCE.2016.7893539","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893539","url":null,"abstract":"Anti-windup schemes can be used to reduce the effect of piezo actuator saturation for the tracking and positioning applications. In the case of applying the anti-windup scheme for the vibration attenuation, the saturation of the piezo actuator has never been considered. In this paper, three PID-anti-windup control schemes; Clamping (PID-CAW), Back-Calculation (PID-BCAW) and Tracking Mode (PID-TMAW) anti-windup were modified based on the measured piezo stack actuator voltage and force saturation and their performance in reducing the vibration from the die-grinder to the suspended handle model were compared. The dynamic model of the suspended handle was experimentally developed and the base excitation was taken from the die-grinder with an operating speed of 25 000 rpm. From the results, the PID-TMAW have produced the highest vibration attenuation of 90.3 % for the coupled-active suspended handle-die grinder model compared to the PID-BCAW and PID-CAW with 90 % and 89.5 % of vibration attenuation, respectively.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"27 1","pages":"22-27"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76403698","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

Automated human age estimation at death via bone microstructures 通过骨骼微结构自动估计人类死亡年龄

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893642

Ijaz Khan, M. Jamil, T. Ibrahim, F. Nor

引用次数: 5

Performance analysis of resource allocation downlink for MIMO-OFDMA system using greedy algorithm 基于贪心算法的MIMO-OFDMA系统下行资源分配性能分析

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893563

A. Idris, Azrinawati Samaon, Mohd Syarhan Idris

引用次数: 4

Development of a GPS-based highway toll collection system 基于gps的高速公路收费系统的开发

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893557

Jin Yeong Tan, P. Ker, D. Mani, P. Arumugam

{"title":"Development of a GPS-based highway toll collection system","authors":"Jin Yeong Tan, P. Ker, D. Mani, P. Arumugam","doi":"10.1109/ICCSCE.2016.7893557","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893557","url":null,"abstract":"The necessity for vehicles to stop or slow down for toll fee payment results in traffic congestion and reduces fuel efficiency. Hence, a system that enables road users to pay the toll fees without stopping or slowing down was proposed and developed. Hardware and software designs were carried out to develop a Global Positioning System (GPS)-based highway toll collection system. This system was developed using a Raspberry Pi 2 microcontroller. Different modules such as GPS module, Liquid Crystal Display (LCD) module, speaker, wireless Wi-Fi router modem and wireless Wi-Fi adapter were incorporated and integrated with the microcontroller to perform a few specific functions. In general, the system utilized GPS coordinates to detect whether a vehicle passed through predefined locations in the database and the travel details were recorded. The Raspberry Pi 2 microcontroller was configured as a personal cloud server to allow online access of travel logs. This developed system presents a different approach for highway toll collection which eliminates travel delays and construction of expensive gantries or toll booths.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"26 1","pages":"125-128"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83234527","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

EEG and emotions: α-peak frequency as a quantifier for happiness 脑电图和情绪:α-峰值频率作为幸福的量词

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893574

Syed Syahril, K. S. Subari, N. N. Ahmad

{"title":"EEG and emotions: α-peak frequency as a quantifier for happiness","authors":"Syed Syahril, K. S. Subari, N. N. Ahmad","doi":"10.1109/ICCSCE.2016.7893574","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893574","url":null,"abstract":"This research investigates the relationship between the electroencephalography (EEG) signal and basic human emotions. In the first experiment, EEG signals were collected from electrodes at locations Fp1, Fp2, F3 and F4 from 4 male and 4 female test subjects while exposed to audio-visual stimuli. The stimuli were selected to evoke 4 groups of emotions i.e., sad, fear, happiness and disgust. The signals were then processed to remove artifacts using a novel modified empirical mode decomposition (EMD) technique. Subsequently, spectral features derived from the α- and β-bands were derived from the artifact-free EEG using a modified Welch periodogram technique with emphasis on finding the optimum number of Welch segments and epoch length. The hypothesis derived from the first experiment was subsequently tested on an additional 7 male subjects. It was observed that the α-peak frequency consistently had the highest magnitudes for happiness-evoked emotion for male subjects. Based on this observation, we speculate that the α-peak frequency can be used to quantify the level of happiness experienced by an individual.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"61 1","pages":"217-222"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88304300","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

Indoor mobile robot localization using KNN 基于KNN的室内移动机器人定位

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893573

B. Ilias, S. Shukor, A. H. Adom, N. Rahim, Mohd Firdaus Ibrahim, S. Yaacob

{"title":"Indoor mobile robot localization using KNN","authors":"B. Ilias, S. Shukor, A. H. Adom, N. Rahim, Mohd Firdaus Ibrahim, S. Yaacob","doi":"10.1109/ICCSCE.2016.7893573","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893573","url":null,"abstract":"This paper describes the usage of sixteen piece 40 kHz ultrasonic sensors, known as Ultrasonic Sensor Bank (USB-16) mounted on a mobile robot platform. The Homogeneous Transformation Matrix (HTM) and trigonometric algorithm is utilized in this research as a wall mapping algorithm. The walls were designed with four types of basic shapes such as rectangle, triangle, curved and square, which are rarely tested by researchers in real time. Mapping and localization within real laboratory environment was also conducted. In this research, the USB-16 sensor bank transmitted ultrasonic signals in frequency waveform to the wall; the reflected signal was then filtered by a Nominal Wall Angle (NWA) algorithm to optimize the accuracy of the measured data. The purpose of this research is to determine the capability of USB-16 in not only providing an accurate map, but also its capability to recognize shapes and localization during mapping based on the size of walls. Next, NWA and KNN algorithm were applied in this experiment to study the accuracy of localization algorithm. This experiment had been carried out with two types of data sets, distance and coordinates. With the combination of these algorithms, the system can improve the accuracy of localization from 80% to 90% for basic wall shape and 78% for real laboratory environment. Basic Stamp, Basic Atom, LabVIEW and MATLAB software were fully utilized in the Self Localization and Mapping problem.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"73 1","pages":"211-216"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86384491","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

Particles contaminations detection during plasma etching process by using k-nearest neighbors and Fuzzy k-nearest neighbors 等离子体刻蚀过程中粒子污染的k近邻和模糊k近邻检测

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893630

Noratika Mohammad Somari, M. F. Abdullah, M. K. Osman, A. M. Nazelan, K. A. Ahmad, Sooria Pragash Rao S. Appanan, Loh Kwang Hooi

{"title":"Particles contaminations detection during plasma etching process by using k-nearest neighbors and Fuzzy k-nearest neighbors","authors":"Noratika Mohammad Somari, M. F. Abdullah, M. K. Osman, A. M. Nazelan, K. A. Ahmad, Sooria Pragash Rao S. Appanan, Loh Kwang Hooi","doi":"10.1109/ICCSCE.2016.7893630","DOIUrl":"https://doi.org/10.1109/ICCSCE.2016.7893630","url":null,"abstract":"This paper present the particle contamination detection during plasma etching process by using k-nearest neighbor (kNN) and Fuzzy k-nearest neighbor (FkNN). In the process of manufacturing semiconductor devices, detecting particle contamination in process tool is a vital factor for determining for product yield. In situ particle is an accurate and cost effective method of contamination control in a production environment which possible to measure particles under actual conditions in real time. Data were collected from two sources Statistical Process Control (SPC) database and Advance Process Control (APC) database. There are four features which are Standard Deviation of voltage bias, Range between minimum and maximum of voltage bias, average of voltage bias and Radio frequency (RF) per Hour. These data are analyzed to identify important features that able to correlate with the particle contamination count during plasma etching process. In this research there are two part of analysis, individual parameter analysis and combination several parameter analysis by using kNN and FkNN. This analysis, used to classify into two levels of contamination, that are low and high particles contamination. By analysis results, kNN method is highest accuracy 83.33% by using standard deviation of voltage bias and FkNN show highest accuracy on combination parameters analysis 80.56% from combination between RF hour and standard deviation of voltage bias.","PeriodicalId":6540,"journal":{"name":"2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"39 1","pages":"512-516"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78662671","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

Comparative study of different Fuzzy-Neural configurations for autonomous vehicle following algorithm 不同模糊神经网络配置在自动驾驶车辆跟随算法中的比较研究

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893609

John Paolo A. Ramoso, M. Ramos

引用次数: 3

Car-like robot path tracker with kinematic constraints 具有运动约束的类车机器人路径跟踪器

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893575

Nor Badariyah Abdul Latip, R. Omar

引用次数: 0

Fuzzy-PID simulation on current performance for Modern Elevator 现代电梯电流性能的模糊pid仿真

2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2016-01-01 DOI: 10.1109/ICCSCE.2016.7893607

Ainil Syafitri, G. Iwa, R. Gunawan, I. M. Ardita

引用次数: 1