2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC)最新文献_第5页

PID bidirectional speed controller for BLDC with seamless speed reversal using Direct Commutation Switching Scheme 采用直接换相开关的无刷直流电动机的PID双向速度控制器

2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2017-08-01 DOI: 10.1109/ICSGRC.2017.8070558

Satishrao Pothorajoo, H. Daniyal

引用次数: 9

Rigorous dynamic modelling and identification of distillation column using Aspen Plus 使用Aspen Plus对精馏塔进行严格的动态建模和识别

2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2017-08-01 DOI: 10.1109/ICSGRC.2017.8070607

S. A. Taqvi, Lemma Dendana Tufa, H. Zabiri, S. Mahadzir, A. Maulud, F. Uddin

引用次数: 8

Gaussian elliptical fitting based skin color modeling for human detection 基于高斯椭圆拟合的人体肤色建模

2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2017-08-01 DOI: 10.1109/ICSGRC.2017.8070594

D. Singh

引用次数: 9

An innovative practical surveying green-land areas in metropolitan zones based on aerial video images 基于航拍影像的城市绿地面积测量创新实践

2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2017-08-01 DOI: 10.1109/ICSGRC.2017.8070566

A. Tashk, A. Pakfetrat, M. Taghvaei, M. A. Alavianmehr

引用次数: 0

Write and read circuit for memristor analog resistance switching 忆阻模拟电阻开关的读写电路

2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2017-08-01 DOI: 10.1109/ICSGRC.2017.8070559

Siti Musliha Ajmal Mokhtar, W. Abdullah, K. A. Kadiran, R. Rifin, M. Omar

{"title":"Write and read circuit for memristor analog resistance switching","authors":"Siti Musliha Ajmal Mokhtar, W. Abdullah, K. A. Kadiran, R. Rifin, M. Omar","doi":"10.1109/ICSGRC.2017.8070559","DOIUrl":"https://doi.org/10.1109/ICSGRC.2017.8070559","url":null,"abstract":"Size scaling CMOS transistors are known to improve cost, speed, and power per chip that results in high performance IC. However, too small transistor size can degrade transistor performance thus become limitation to CMOS scaling. One way to overcome this limitation is by incorporating CMOS with memristor; a device that offers small size, low power, nonvolatile characteristic with switching ability and is compatible with CMOS technology. In this research, memristor resistance write circuit (RWC) and read circuit (RRC) are presented. A pulse-coded memristor programming method is adopted in RWC design. It uses 2 sets of switches to decreases or increases resistance by supplying positive or negative pulse. Plus, the longer width of supply signal, the bigger changes of resistance. Next, two types of RRC are presented; voltage read circuit and current read circuit. Former circuit consists of trans-impedance amplifier and resistor. Output voltage from amplifier expresses memristor resistance value. When voltage supply is negative pulse, memristor resistance increases thus Vout gradually decreases and otherwise. Latter circuit consists of amplifier and CMOS transistor to read the current from memristor that express memristor resistance. When memristor resistance changes, the current also changes. Set of current mirror is added to enable memristor current to be copied to other circuit. A current sample and hold circuit is added to keep current information when there is no voltage supply. Result shows first RWC successfully program resistance of memristor either to increase or decrease. Second, voltage read circuit can express resistance value in voltage form but have negative output voltage that not very applicable. Third, current read circuit can give current output based on memristor resistance and applicable with other circuits.","PeriodicalId":182418,"journal":{"name":"2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128885298","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: 5

A new key generator for data encryption using chaos in digital filter 一种利用混沌数字滤波器进行数据加密的密钥生成器

2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2017-08-01 DOI: 10.1109/ICSGRC.2017.8070574

Reatrey Pich, S. Chivapreecha, J. Prabnasak

引用次数: 1

A multi-objective Spiral Dynamic algorithm and its application for PD design 多目标螺旋动态算法及其在PD设计中的应用

2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2017-08-01 DOI: 10.1109/ICSGRC.2017.8070557

A. Nasir, A. Azwan, A. M. Ashraf, M. J. M. Falfazli

{"title":"A multi-objective Spiral Dynamic algorithm and its application for PD design","authors":"A. Nasir, A. Azwan, A. M. Ashraf, M. J. M. Falfazli","doi":"10.1109/ICSGRC.2017.8070557","DOIUrl":"https://doi.org/10.1109/ICSGRC.2017.8070557","url":null,"abstract":"This paper presents a novel multi-objective Spiral Dynamic Optimization (MOSDA) algorithm. It is an extended version of a single objective type SDA. A Non-dominated sorting (NS) approach from Non-dominated Sorting Genetic Algorithm II (NSGAII) is adopted into SDA to develop its multi-objective (MO) type algorithm. SDA has a good elitism strategy and a simple structure. On the other hand, NS is a fast strategy to develop good Pareto Front (PF) characteristics for MO type algorithm. The proposed algorithm is tested with various benchmark functions used to test a newly developed MO algorithm. A PF graph is presented as a result of the test. Moreover, it is adopted to optimize parameters of ProportionalDerivative (PD) controller for an Inverted Pendulum (IP) system. Time-domain response of the IP is presented to show performance of the optimized controller. Result presented in this paper shows that MOSDA has a better performance in terms of finding PF and solution spread when tested with benchmark functions compared to NSGAII. In terms of its application in solving a real problem, both algorithms successfully optimize the PD and control the system very well. IP controlled by MOSDA-based PD shows better rise time.","PeriodicalId":182418,"journal":{"name":"2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128891796","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

Determination of image conversion ratio for Transient Luminous Events (TLEs) observation system 瞬态发光事件(TLEs)观测系统图像转换比的确定

2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2017-08-01 DOI: 10.1109/ICSGRC.2017.8070598

Chan Hwee Geem, A. I. Mohamed, M. M. Saari, M. Sulaiman

引用次数: 0

High crystallinity property of bilayer composited PbTiO3/PVDF-TrFE nanodielectric film capacitor 双层复合PbTiO3/PVDF-TrFE纳米介电膜电容器的高结晶度

2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2017-08-01 DOI: 10.1109/ICSGRC.2017.8070585

Z. Nurbaya, M. Wahid, M. Rozana, S. Alrokayan, H. Khan, M. Rusop

引用次数: 0

Analysis of algorithms variation in Multilayer Perceptron Neural Network for agarwood oil qualities classification 沉香油质量分类多层感知器神经网络算法差异分析

2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC) Pub Date : 2017-08-01 DOI: 10.1109/ICSGRC.2017.8070580

N. Zubir, M. A. Abas, N. Ismail, N. A. Ali, M. Rahiman, N. K. Mun, N. Saiful, M. Taib

{"title":"Analysis of algorithms variation in Multilayer Perceptron Neural Network for agarwood oil qualities classification","authors":"N. Zubir, M. A. Abas, N. Ismail, N. A. Ali, M. Rahiman, N. K. Mun, N. Saiful, M. Taib","doi":"10.1109/ICSGRC.2017.8070580","DOIUrl":"https://doi.org/10.1109/ICSGRC.2017.8070580","url":null,"abstract":"This study investigates the performance of the Multilayer Perceptron (MLP) classifier in discriminating the qualities of agarwood oil significant compounds by different qualities based on three training algorithms namely Scaled Conjugate Gradient (SCG), Levernbergh-Marquardt (LM) and Resilient Backpropagation (RP) Neural Network by using Matlab version 2013a. The dataset used in this study were obtained at Forest Research Institute Malaysia (FRIM) and University Malaysia Pahang (UMP). Further, the areas (abundances, %) of chemical compounds is set as an input and the quality represented (high or low) as an output. The MLP performance was examined with different number of hidden neurons which is in the ranged of 1 to 10. Their performances were observed to accurately found the best technique of optimization to apply to the model. It was found that the LM is effective in reducing the error by enhancing the number of hidden neurons during the network development. The MSE of LM is the smallest among SCG and RP. Besides that, the accuracy of training, validation and testing of LM performed the best accuracy (100%).","PeriodicalId":182418,"journal":{"name":"2017 IEEE 8th Control and System Graduate Research Colloquium (ICSGRC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126236861","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: 9