2018 IEEE Conference on Systems, Process and Control (ICSPC)最新文献_第5页

Aquaculture Monitoring System using Arduino Mega for Automated Fish Pond System Application 基于Arduino Mega的水产养殖监测系统在自动化鱼塘系统中的应用

2018 IEEE Conference on Systems, Process and Control (ICSPC) Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704133

Khairun Nisa Hairol, R. Adnan, A. Samad, Fazlina Ahmat Ruslan

{"title":"Aquaculture Monitoring System using Arduino Mega for Automated Fish Pond System Application","authors":"Khairun Nisa Hairol, R. Adnan, A. Samad, Fazlina Ahmat Ruslan","doi":"10.1109/SPC.2018.8704133","DOIUrl":"https://doi.org/10.1109/SPC.2018.8704133","url":null,"abstract":"Fish farming industry has become one of the sources of income to people who are involved in business. An entrepreneur in this industry can make more money when the fish pond is equipped with the suitable device. With the existence of such device which capable in controlling the water level, monitor the temperature and so forth; then the entrepreneur has nothing to worry since everything is automated and can be monitored closely by just using a smartphone with Blynk application. This system is designed to control the water level, monitor the water temperature, automatic feeding and automatic water replacement of an aquaculture environment. The user gets to view the live measurement of the water temperature and water level. This study is limited to only a small aquarium where the maximum height is 15cm since it is only a prototype. The Arduino Mega 2560 is used as the microcontroller in this study since its program is easy to change and the language of this microcontroller is more familiar rather than other microcontrollers. This study results in a reliable water level controller which works continuously to regulate the water level to the desired water level. Besides that, this system also capable to feed the fishes automatically every 90 minutes and change the water in the aquarium for every two days. The graph of water level and the water temperature is updated from time to time and the data can be downloaded if the user intended to do so.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131046937","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: 7

Optimality and Stability of Cooperative Distributed Model Predictive Control in Large–scale Plant 大型工厂协同分布式模型预测控制的最优性与稳定性

2018 IEEE Conference on Systems, Process and Control (ICSPC) Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704158

Mohamed. A. M. Osman, B. Kamaruddin, M. Ramasamy

引用次数: 0

Performance Comparisons of Fuzzy Logic and Neuro-Fuzzy Controller Design in Solar Panel Tracking Systems 模糊逻辑和神经模糊控制器在太阳能板跟踪系统中的性能比较

2018 IEEE Conference on Systems, Process and Control (ICSPC) Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8703980

E. Arif, J. Hossen, G. Murthy, Tajrian Mollick, T. Bhuvaneswari, C. Venkataseshaiah

引用次数: 2

Statistical Learning BSVM Model to the Problem of Agarwood Oil Quality Categorization 沉香油质量分类问题的统计学习BSVM模型

2018 IEEE Conference on Systems, Process and Control (ICSPC) Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8703975

N. Ismail, Hairul Ariffin, M. Rahiman, M. Taib, N. A. Ali, S. N. Tajuddin

{"title":"Statistical Learning BSVM Model to the Problem of Agarwood Oil Quality Categorization","authors":"N. Ismail, Hairul Ariffin, M. Rahiman, M. Taib, N. A. Ali, S. N. Tajuddin","doi":"10.1109/SPC.2018.8703975","DOIUrl":"https://doi.org/10.1109/SPC.2018.8703975","url":null,"abstract":"This paper presents an attemption to empirically assess statistical learning model Boolean Support Vector Machines (BSVM) to the problem of agarwood oil quality categorization. The modelling starts with data pre-processing of seven significant chemical compounds of agarwood oil, from high and low qualities. During this stage, the data was randomized, normalized and divided into training and testing parts. 80% of the training part was induced as examples and create the maximum margin hyperplane to separates high and low groups in a binary setting and build the model. Another 20% of testing part was used to validate the developed model. MATLAB software version R2016a was used to perform all the analysis. The result obtained a good model utilizing SVM in classifying agarwood oil significant volatile compound quality. The model achieved minimum of 80 % for precision, confusing matrix, accuracy, sensitivity and specificity. The finding in this study will benefit further work and application for agarwood oil research area especially its classification in quality of agarwood oil and many others.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129038255","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

Adaptive Terminal Sliding Mode Control of Hyper-Chaotic Uncertain 4-Order system with One Control Input 单控制输入超混沌不确定四阶系统的自适应终端滑模控制

2018 IEEE Conference on Systems, Process and Control (ICSPC) Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8703979

P. A. Hosseinabadi, Ali Soltani Sharif Abadi, S. Mekhilef

{"title":"Adaptive Terminal Sliding Mode Control of Hyper-Chaotic Uncertain 4-Order system with One Control Input","authors":"P. A. Hosseinabadi, Ali Soltani Sharif Abadi, S. Mekhilef","doi":"10.1109/SPC.2018.8703979","DOIUrl":"https://doi.org/10.1109/SPC.2018.8703979","url":null,"abstract":"One of the unavoidable issues with various real-time control systems is existence of the external disturbances and uncertainties which is usually unavailable. To deal with these disturbances and uncertainties, various robust control methods have been introduced in the literature such as Sliding Mode Control (SMC), adaptive control method and so on. This paper proposes a novel Adaptive Terminal SMC (ATSMC) method to control the hyper-chaotic 4-order system within a finite-time by utilizing only one control input. The dynamical model of the hyper-chaotic 4-order system is subjected to the mismatched external disturbances and uncertainties which are bounded, but these bounds are unavailable. The adaptive concept is employed to approximate the upper bounds of these unknown mismatched external disturbances and uncertainties within a finite-time and their estimations are used in the control input. The robust controller is designed by utilizing Lyapunov stability theory. The key features of the designed controller are robustness against all mismatched uncertainties and external disturbances, and providing stability within a finite-time. Finally, a numerical simulation is performed in Simulink/MATLAB to verify the effectiveness of the designed controller to suppress the chaotic oscillations. The numerical simulation results reveal that the finite-time stability is achieved accurately as soon as the controller is introduced.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129326401","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

Automated Detection of Human RBC in Diagnosing Sickle Cell Anemia with Laplacian of Gaussian Filter 用拉普拉斯高斯滤波自动检测人红细胞诊断镰状细胞性贫血

2018 IEEE Conference on Systems, Process and Control (ICSPC) Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704128

Ahmad Sabry Mohamad, Nur Syahirah Abdul Halim, Muhammad Noor Nordin, Roszymah Hamzah, J. Sathar

引用次数: 12

Active Suspension Control by Using Linear Quadratic Regulator and Sliding Mode Control Techniques with Optimisation 基于线性二次型调节器和滑模优化控制技术的主动悬架控制

2018 IEEE Conference on Systems, Process and Control (ICSPC) Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704162

Erliana Samsuria, Y. M. Sam, L. Ramli

{"title":"Active Suspension Control by Using Linear Quadratic Regulator and Sliding Mode Control Techniques with Optimisation","authors":"Erliana Samsuria, Y. M. Sam, L. Ramli","doi":"10.1109/SPC.2018.8704162","DOIUrl":"https://doi.org/10.1109/SPC.2018.8704162","url":null,"abstract":"This paper proposes an optimal control technique of an active suspension system using two degrees of freedom quarter car model. The main purpose of the study is to analyse the effectiveness of state feedback controllers based on Linear Quadratic Regulator (LQR) and Sliding Mode Control (SMC) which are optimised based on Particle Swarm Optimization (PSO) algorithm utilisation of active suspension system. The controllers are designed to improve a ride comfort while maintaining a restriction of suspension travel and wheel deflection subjected to the road disturbances. The performances of SMC based-PSO controller is compared to with the LQR based-PSO controller and the existing conventional suspension system based on the road profile that the car will pass through. To evaluate the effectiveness of the proposed controller, simulations are carried out and tested under the double bump road input profile. The results clearly show that the SMC approach outperforms the LQR and conventional suspension system in achieving a better ride comfort. Simulation by (Simulink Matlab) is carried out to illustrate system control and performances.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121705732","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

Design and Implement SumoBot for Classroom Teaching SumoBot课堂教学的设计与实现

2018 IEEE Conference on Systems, Process and Control (ICSPC) Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704145

Musab A. M. Ali, Shahad Al-Youif, M. N. Mohammed, Omar Ismael Al-Sanjary, M. I. Abdullah

{"title":"Design and Implement SumoBot for Classroom Teaching","authors":"Musab A. M. Ali, Shahad Al-Youif, M. N. Mohammed, Omar Ismael Al-Sanjary, M. I. Abdullah","doi":"10.1109/SPC.2018.8704145","DOIUrl":"https://doi.org/10.1109/SPC.2018.8704145","url":null,"abstract":"This paper shows a SumoBot, a set of processorindependent robotics instructions, which empowers instructors to compose robotics code fit for winning on any equipment. Enables educators to share and access educational programs and substance, in the classroom. The outline and ideas of the SumoBot framework will displayed, alongside beginning investigations for information logging and experimentation. A usage of the coding in BASIC Stamp Editor will then be shown by a gathering of usually used instructive robots. The BASIC Stamp Editor empowers understudy to compose widespread mechanical technology programs that enable instructive apply autonomy to break free of current imperatives through crossstage coordinated effort and sharing of educational programs and learning. the instructive market are being focuesd to Robotics systems frameworks as learning devices for an extensive variety of subjects, particularly inside the Science, Technology, Engineering, and Mathematics (STEM) disciplines. The robotics consist variety and inherent leads prompts blended improvement conditions where programs limited to the first robot equipment whereupon they to developed.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114916716","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

Hybrid Genetic Algorithm based Fuzzy Inference System for Data Regression 基于混合遗传算法的数据回归模糊推理系统

2018 IEEE Conference on Systems, Process and Control (ICSPC) Pub Date : 2018-07-02 DOI: 10.1109/SPC.2018.8704148

S. Wong, Keem Siah Yap, Chin Hooi Tan

引用次数: 0