2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)最新文献

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Detection of markers using deep learning for docking of autonomous underwater vehicle 基于深度学习的自主水下航行器对接标记检测
M. F. Yahya, M. Arshad
{"title":"Detection of markers using deep learning for docking of autonomous underwater vehicle","authors":"M. F. Yahya, M. Arshad","doi":"10.1109/I2CACIS.2017.8239054","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239054","url":null,"abstract":"Autonomous Underwater Vehicle (AUV) has limited energy capacity due to it being an embedded system. To overcome this limitation, the AUV can home into a docking station to recharge its battery. Several research has been conducted on the docking of AUV using vision. In some literatures, docking would fail if the target placed at the docking station is missing or disoriented from the camera view. This study proposes a deep learning system to detect the target markers to solve the disoriented view issues. The proposed system comprises of two phases which are training and testing. In training phase, there are region proposal, labeling data, developing convolutional neural network architecture, and network training. In testing phase, the trained network will be fed by various input data so as to measure the performance of the network. Result in this study shows that the system is able to locate and classify the target markers even though the view of the object of interest is disoriented. Future work may include the implementation of the developed system on real docking operation.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"2001 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116890329","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
An intelligent approach for nonlinear system identification of a Li-ion battery 锂离子电池非线性系统辨识的智能方法
Mohammad Behdad Jamshidi, M. Jamshidi, Safdar Rostami
{"title":"An intelligent approach for nonlinear system identification of a Li-ion battery","authors":"Mohammad Behdad Jamshidi, M. Jamshidi, Safdar Rostami","doi":"10.1109/I2CACIS.2017.8239040","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239040","url":null,"abstract":"An electrochemical system is a subset of mechatronic systems which includes a wide range of batteries such as nickel-cadmium, lead-acid batteries, and lithium-ion. These systems have many nonlinear behaviors and uncertainties in their operating range. Computational intelligence approaches are more accurate and quick than conventional analytical methods for estimating and analyzing nonlinear systems. In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) model as a black box method to identify dynamic behaviors of a lithium-ion is presented. The purposed of modeling is presentation and analysis a computational intelligence approach to estimate and identify secondary cells or rechargeable batteries. In this study, a real dataset as database for exponential modeling is used. This dataset relates to a comprehensive test on li-ion batteries that was set up by researchers in NASA Ames Research Center. The presented model contains an ANFIS model using grid partition with three signals; load voltage, measured voltage and temperature of the battery. The results illustrate that the presented approach gives rather good error minimization and convergence to identify of the li-ion battery. In addition, this approach can be used to identify other storage batteries or other similar nonlinear systems.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129351707","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: 21
Finger tracking for piano playing through contactless sensor system: Signal processing and data training using artificial neural network 基于非接触式传感器系统的钢琴弹奏手指跟踪:利用人工神经网络进行信号处理和数据训练
Choo Chee Wee, M. Mariappan
{"title":"Finger tracking for piano playing through contactless sensor system: Signal processing and data training using artificial neural network","authors":"Choo Chee Wee, M. Mariappan","doi":"10.1109/I2CACIS.2017.8239030","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239030","url":null,"abstract":"Various researches had attempted to unveil the technique of virtuoso pianists using technologies. These researches employ different types of sensors in order to capture motion data of piano playing. Researches that embark on this area faced a common problem, the sensors used in these works are directly touching the pianist, in other words this causes a change of piano playing experience. Since piano playing consists of very delicate interaction between the pianist and the piano, such change of experience may affect the pianist's performance. These sensors are said to have change the piano playing experience of the pianist. Concluding the challenges faced by current technologies, a non-intrusive and long range capacitive sensor is developed. This sensor employs the RC oscillator method where the change of the capacitance is recorded in number of pulses. In this work, a prototype sensor is developed to sense different positions of the fingers on five keys of the piano out of the entire 88 keys. To validate the design, input data with known output position were collected and fed into an artificial neural network for training. The output of the neural network is shown in regression plots, where the overall coefficient of determination, R=0.96747. The fit value and the accuracy is reasonably good for the data set. The output data represents the location of the fingers on the piano keyboard with approximately 10mm deviation.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"26 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132983825","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
Modeling and comparative study of PID Ziegler Nichols (ZN) and Cohen-Coon (CC) tuning method for Multi-tube aluminum sulphate water filter (MTAS) 多管硫酸铝滤水器(MTAS)的PID Ziegler Nichols (ZN)和Cohen-Coon (CC)整定建模及比较研究
A. A. Azman, M. Rahiman, Nurul Nadia Mohammad, Mohd Hezri Marzaki, M. Taib, M. Ali
{"title":"Modeling and comparative study of PID Ziegler Nichols (ZN) and Cohen-Coon (CC) tuning method for Multi-tube aluminum sulphate water filter (MTAS)","authors":"A. A. Azman, M. Rahiman, Nurul Nadia Mohammad, Mohd Hezri Marzaki, M. Taib, M. Ali","doi":"10.1109/I2CACIS.2017.8239027","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239027","url":null,"abstract":"Floods are a natural phenomenon that frequently occur in Malaysia. Flooding will cause water to become cloudy or turbid. In this situation, the supply of clean drinking water is the most affected component. Therefore, many researchers have designed a water filter system to overcome these problems. One of them is used chemical as purifying agen, or known as coaguland and flocculation process. In this study researcher used Aluminium Sulphate Al2(SO4)3 as a coagulant agent, and Multi-tube aluminum sulphate water filter (MTAS) pilot plan as flocculation process. Thus, the MTAS pilot plan will be control by open loop controller and a discrete plan modelling transfer function be developed in light of, the open loop controller output. Subsequently, PID simulation controller be implemented based on Ziegler Nichols (ZN) and Cohen-Coon (CC) tuning method. Conclusively, the robusness and efficiencies of PID controller is evaluated, and a comparative study has done. Finally, researcher proposed the best PID tunning controller that will be adopted in real time process control for further investigation.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132918843","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: 21
Interactive procedural generation for items in role-playing game 角色扮演游戏中道具的交互式程序生成
N. Foong, C. K. On, R. Alfred, J. Teo, Ag. Asri Ag. Ibrahim
{"title":"Interactive procedural generation for items in role-playing game","authors":"N. Foong, C. K. On, R. Alfred, J. Teo, Ag. Asri Ag. Ibrahim","doi":"10.1109/I2CACIS.2017.8239049","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239049","url":null,"abstract":"This paper demonstrates the difference in rules and their impact in procedural generation of item in role-playing game. The main aims of this project are to: create a wave challenge-based game prototype that generates 2 items using the two rule-based randomized algorithms per wave, and identify the reasons in rules that affect the user's preference of item. Experimental results demonstrate success with all aims: rule-based randomized algorithm with smaller variation is proven to generate better items that are preferred by users in a role-playing game, and a general rule instead of a fixed rule provides better attribute and value of attribute in item generation.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134237648","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
Integrated OBD-II and mobile application for electric vehicle (EV) monitoring system 集成OBD-II和移动应用的电动汽车(EV)监测系统
Kavian Khorsravinia, M. Hassan, R. A. Rahman, S. Al-Haddad
{"title":"Integrated OBD-II and mobile application for electric vehicle (EV) monitoring system","authors":"Kavian Khorsravinia, M. Hassan, R. A. Rahman, S. Al-Haddad","doi":"10.1109/I2CACIS.2017.8239058","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239058","url":null,"abstract":"Electric Vehicles (EV) are becoming more popular, advanced and connected to the internet, the users are being encouraged to use new technologies for tracking, monitoring and controlling their EVs. The experienced users tend to monitor and control specific EV parts including ABS, Airbag, and Air Condition easily and seamlessly. Currently, there is no a distinct system at all that would integrate all these factors into one disposable application. This research develops a system which communicates with On Board Diagnostics of Electric Vehicle by using Controller Area Network communication protocol. The paper discusses how to collect CAN data by new and low-cost method through OBD-II port. The OBD-II is traditionally used by technicians for reading fault codes and monitoring the actual value of each connected control units. There are few other solutions already available, but none of them satisfies requirements for experienced users. Ordinarily, these available solutions can be applied for monitoring the state of charge and battery parameters. The extraction of all the available data in EV CAN network has been done systematically through OBD-II port and by using low-level software libraries and programming a development board based on ARM STM32F103RBT6 micro-controller. This paper discuss an implementation an integrated OBD-II system for monitoring CAN data such as SOC and Energy consumption based on Android. Finally, the CAN data (e.g., lock and unlock door and Air condition control) will be injected in EV CANs system. Overall, the proposed approach can facilitate the monitoring and control processes for most of specific EV parts considering flexibility and ease of use for the end users.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116461527","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: 16
A review on methods and classifiers in lip reading 唇读的方法和分类方法综述
Leticia Ria Aran, F. Wong, L. P. Yi
{"title":"A review on methods and classifiers in lip reading","authors":"Leticia Ria Aran, F. Wong, L. P. Yi","doi":"10.1109/I2CACIS.2017.8239057","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239057","url":null,"abstract":"The idea of lip reading as a visual technique which people may use to translate lip movement into phrases without relying on speech itself is fascinating. There are numerous application areas in which lip reading could provide full assistance. Although there may be a downside to using the lip reading system, whether it may range from problems such as time constraint to minor word recognition mistakes, further development of the system should be an active cycle. Ongoing research into improvement of the lip reading system performance by way of suitable choices of feature extraction and classifiers is essential to track the developing trend in both fields of technology as well as in pattern recognition. This paper discusses a short review on the existing methods and classifiers which have been used in previous work in the field of lip reading.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126100566","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
An analysis of PSO inertia weight effect on swarm robot source searching efficiency 粒子群算法惯量权重对群体机器人寻源效率的影响分析
M. Majid, A. Arshad
{"title":"An analysis of PSO inertia weight effect on swarm robot source searching efficiency","authors":"M. Majid, A. Arshad","doi":"10.1109/I2CACIS.2017.8239053","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239053","url":null,"abstract":"Particle swarm optimization (PSO) is a well-known metaheuristic and population based optimization algorithm. PSO has been used in many science and engineering applications. One of the examples include as a source searching algorithm in swarm robotics. In general, PSO searching performance is determined by its parameters include inertia weight and acceleration coefficients. In this paper, a comparison analysis of inertia weight adjustment strategies on the source searching capability is presented. Several methods of adjusting the inertia weight are studied such as constant inertia weight, randomized inertia weight, linearly decreasing inertia weight, increasing inertia weight, and adaptive inertia weight. The analysis is performed by keeping other PSO parameters including the acceleration coefficients constant. The comparison is benchmarked based on a few performance indexes:convergence time, accuracy, percentage of search success and smoothness of trajectory. The comparison results presented in this study are useful as a basic guideline for development of a better PSO based source searching algorithm for swarm robotics in the future.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121183877","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
Understanding convolutional neural networks using a minimal model for handwritten digit recognition 使用最小模型理解卷积神经网络用于手写数字识别
M. Teow
{"title":"Understanding convolutional neural networks using a minimal model for handwritten digit recognition","authors":"M. Teow","doi":"10.1109/I2CACIS.2017.8239052","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239052","url":null,"abstract":"The contribution of this paper is to bridge the gap on understanding the mathematical structure and the computational implementation of a convolutional neural network (CNN) using a minimal model (Minimal CNN). The proposed minimal CNN is presented using a layering approach. This approach provides a concise and accessible understanding of the main mathematical operations of a CNN. Hence, it benefits beginners and non-mathematical prolific learners to acquire foundational knowledge that informs a principled understanding of CNNs without having an intimidating experience. A handwritten digit recognition using MNIST handwritten digit dataset is used to experiment the performance of the proposed minimal CNN with other neural networks.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127607850","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: 37
Intelligent sign language recognition using enhanced fourier descriptor: A case of Hausa sign language 基于增强傅立叶描述符的智能手语识别:以豪萨手语为例
S. Hassan, J. Abolarinwa, C. Alenoghena, S. Bala, M. David, Ali Farzaminia
{"title":"Intelligent sign language recognition using enhanced fourier descriptor: A case of Hausa sign language","authors":"S. Hassan, J. Abolarinwa, C. Alenoghena, S. Bala, M. David, Ali Farzaminia","doi":"10.1109/I2CACIS.2017.8239041","DOIUrl":"https://doi.org/10.1109/I2CACIS.2017.8239041","url":null,"abstract":"Hausa sign language (HSL) is the main communication medium among deaf-mute Hausas in northern Nigeria. HSL is so unique that a deaf-mute individual from other part of the country can rarely understand it. HSL includes static and dynamic hand gesture recognitions. In this paper we present an intelligent recognition of static, manual and nonmanual HSL using an enhanced Fourier descriptor. A Red Green Blue (RGB) digital camera was used for image acquisition and Fourier descriptor was used for features extraction. The features extracted chosen manually and fed into artificial neural network (ANN) which was used for classification. Thereafter particle swarm optimization algorithm (PSO) was used to optimize the features based on their fitness in order to obtain high recognition accuracy. The optimized features selected gave a higher recognition accuracy of 90.5% compared to the manually selected features that gave 74.8% accuracy. High average recognition accuracy was achieved; hence, intelligent recognition of HSL was successful.","PeriodicalId":218798,"journal":{"name":"2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134644762","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
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