2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)最新文献_第3页

Multinomial Classification of Coral Species using Enhanced Supervised Learning Algorithm 基于强化监督学习算法的珊瑚物种多项分类

2020 IEEE 10th International Conference on System Engineering and Technology (ICSET) Pub Date : 2020-11-09 DOI: 10.1109/ICSET51301.2020.9265392

Marizel B. Villanueva, Melvin A. Ballera

引用次数: 1

Yaw Control of a 3-Axle Truck Semi-Trailer using Steerable-Wheel Optimized with Gravitational Search Algorithm 基于引力搜索算法优化方向盘的三轴半挂车偏航控制

2020 IEEE 10th International Conference on System Engineering and Technology (ICSET) Pub Date : 2020-11-09 DOI: 10.1109/ICSET51301.2020.9265398

Muhamad Afiq Mohd Yussof, N. H. Amer, Z. A. Kadir, K. Hudha, M. S. Rahmat, M. H. Harun

{"title":"Yaw Control of a 3-Axle Truck Semi-Trailer using Steerable-Wheel Optimized with Gravitational Search Algorithm","authors":"Muhamad Afiq Mohd Yussof, N. H. Amer, Z. A. Kadir, K. Hudha, M. S. Rahmat, M. H. Harun","doi":"10.1109/ICSET51301.2020.9265398","DOIUrl":"https://doi.org/10.1109/ICSET51301.2020.9265398","url":null,"abstract":"Yaw stability in heavy vehicle have been one of the problem that is causing major road accidents nowadays. This paper presents the development and optimization of the yaw rejection control for truck semi-trailer using a steerable wheel located at the middle axles. This controller implemented aimed to minimize yaw disturbance which lateral stability on truck semi-trailer vehicles while maneuvering. The study includes 16 DOF of a truck model developed using Matlab software and the development of an electronic controller in the outer loop system for the yaw rejection control including a steerable wheel system placed at the middle axle on the truck vehicle. The system is controlled using a PID controller and optimized using Gravitational Search Algorithm (GSA). Then, the yaw rejection control which is the active model responses result is compared against the result from passive model responses in terms of magnitude and percentage of difference. In this study the controller was tested using two types of maneuverings, namely double and single lane change tests. Finally, it was shown that he optimized controller managed to improve the yaw rejection control performance.","PeriodicalId":299530,"journal":{"name":"2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134534347","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

An Approach Towards Development of Computer Aided Monitoring System for Alzheimer's Disease based on MRI Images 基于MRI图像的阿尔茨海默病计算机辅助监测系统的研制

2020 IEEE 10th International Conference on System Engineering and Technology (ICSET) Pub Date : 2020-11-09 DOI: 10.1109/ICSET51301.2020.9265373

Hani Najihah Aziz, W. Mahmud, Audrey Huong Kah Ching

{"title":"An Approach Towards Development of Computer Aided Monitoring System for Alzheimer's Disease based on MRI Images","authors":"Hani Najihah Aziz, W. Mahmud, Audrey Huong Kah Ching","doi":"10.1109/ICSET51301.2020.9265373","DOIUrl":"https://doi.org/10.1109/ICSET51301.2020.9265373","url":null,"abstract":"Alzheimer's disease (AD) is a disorder that affects millions of people in the world, and this number will continue increasing according to all prospects. Other than it is a serious problem that still today there is no cure for this disease, it is of even much more concern the lack of reliability and the tardiness in the diagnosis and monitoring of the disease. Implementation of latest technology into the development of computerized diagnosis system is not new. Many past studies have been looking into this matter by using different sophisticated tools. However, there is yet to find any research on the development of the monitoring system for AD which able to continuously monitor the AD patients, so as to detect any progression symptoms. In this study, a Computer Aided Monitoring (CAM) system is created to monitor the progress of AD patients and provide various data of patients in a system which can be accessed by authorized medical practitioners. To monitor the progress of AD on patients, image processing and analysis were applied to MRI images including the preprocessing stage for improving the images, and segmentation stage using thresholding method. For this system, the MRI data used are from Alzheimer's Disease Neuroimaging Initiative (ADNI) database. The CAM system was developed using Graphical User Interface (GUI) in MATLAB which consists Log In template, Information template, Patient Data template and the last template is MRI enabling image processing. This system may help the doctors to manage and monitor their AD patient on one system which have the capability of displaying and storing all data related to patients as well as detecting the progression of the disease.","PeriodicalId":299530,"journal":{"name":"2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125479708","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

Intelligent Prediction Approach of Fouling Location in Shell and Tube Heat Exchanger 管壳式换热器污垢位置的智能预测方法

2020 IEEE 10th International Conference on System Engineering and Technology (ICSET) Pub Date : 2020-11-09 DOI: 10.1109/ICSET51301.2020.9265382

Mustafa Al-Naser, S. El-Ferik, R. Ben‐Mansour, Hulail Yousef AlShammari, Abrar Alamoudi

引用次数: 0

Character Segmentation for Automatic Vehicle License Plate Recognition Based on Fast K-Means Clustering 基于快速k均值聚类的车牌自动识别字符分割

2020 IEEE 10th International Conference on System Engineering and Technology (ICSET) Pub Date : 2020-11-09 DOI: 10.1109/ICSET51301.2020.9265387

F. N. M. Ariff, A. Nasir, H. Jaafar, A. Zulkifli

{"title":"Character Segmentation for Automatic Vehicle License Plate Recognition Based on Fast K-Means Clustering","authors":"F. N. M. Ariff, A. Nasir, H. Jaafar, A. Zulkifli","doi":"10.1109/ICSET51301.2020.9265387","DOIUrl":"https://doi.org/10.1109/ICSET51301.2020.9265387","url":null,"abstract":"Automatic vehicle license plate recognition (AVLPR) system is one of application for transportation area under intelligent transport system. This system helps in monitor and identify the vehicle by reading the vehicles license plate numbers and recognize the plate characters automatically. However, various factors such as diversity of plate character viewpoint, shape, format and unstable light conditions at the time of image acquisition were obtained, have challenged the system to segment and recognize the characters. Therefore, this paper, presents an effective procedure approached based on fast k-mean (FKM) clustering. FKM approached have an ability to shortening the time of the image cluster centers process consumed. In addition, the FKM algorithm also able to overcomes the cluster center re-processing problem when constantly added the image in huge quantities. The proposed procedure begins with enhancing the input image by using modified white patch and converted into grayscale image. A total of 100 of images has been tested for the segmentation process with clustering techniques approach used. Template matching is used to standardize the recognition results obtained. The highest achieved was 88.57% of average accuracy for FKM clustering technique compared to k-means clustering where it was only able to achieve an average accuracy of 85.78% and 86.14% for fuzzy c-means. Thus, this show that the most efficient, quicker and more useful algorithm goes to FKM rather than the algorithm for fuzzy c-means (FCM) and k-means (KM). Therefore, it is possible toward consider the proposed FKM clustering as an image segmentation method for segmenting license plate images.","PeriodicalId":299530,"journal":{"name":"2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128837182","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

QR Code and NFC-Based Information System for Southland Tourism Industry-New Zealand 基于二维码和nfc的南国旅游业信息系统——新西兰

2020 IEEE 10th International Conference on System Engineering and Technology (ICSET) Pub Date : 2020-11-09 DOI: 10.1109/ICSET51301.2020.9265394

S. Ekundayo, Oras Baker, Joe Zhou

{"title":"QR Code and NFC-Based Information System for Southland Tourism Industry-New Zealand","authors":"S. Ekundayo, Oras Baker, Joe Zhou","doi":"10.1109/ICSET51301.2020.9265394","DOIUrl":"https://doi.org/10.1109/ICSET51301.2020.9265394","url":null,"abstract":"New Zealand is a hub of tourism. Beautiful and serene, this country plays a host to more diverse and enthusiastic travellers from across the globe and tourism is a major boost to New Zealand economy. With technology taking over all the aspects of human life, it simply makes sense to link it with tourism to enhance and augment its features and make it more hassle-free and easier for the tourists. In one such attempt, this research makes use of Quick Response (QR) code and Near Field Communication (NFC) technology to augment the field of tourism in Southland, New Zealand. Quick Response (QR) code and Near Field Communication (NFC) technology are already extensively used in inventory systems, online payment systems, and lots more. This research presents a system named QR Code and NFC Bases Information System (QNBIS) for tourists visiting Southland region of New Zealand and aims at assisting the tourists by providing the information about objects of interest in their surrounding and thereby making their travelling experience easy and enjoyable. By scanning QR codes or reading NFC tags using a mobile device, the system can provide an introduction for the corresponding object and therefore provide much-needed help to a wandering tourist. The danger of malicious replacement of QR codes and NFC tags limits the scope of execution of the proposed study, and therefore to address this risk, a security strategy is implemented where three specific implementation methods are offered. Lastly, in this research, a proof of concept (POS) QNBIS prototype is implemented and evaluated. The evaluation results show that the proposed QNBIS system is a viable method to provide tourists visiting Southland, with a practical and secure way to get information about their surrounding objects of interest.","PeriodicalId":299530,"journal":{"name":"2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127789872","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 Survey on Indoor Object Location Tracking Techniques and Technologies 室内目标定位跟踪技术的比较研究

2020 IEEE 10th International Conference on System Engineering and Technology (ICSET) Pub Date : 2020-11-09 DOI: 10.1109/ICSET51301.2020.9265396

M. Asaduzzaman, T. K. Geok, Md. Shohel Sayeed, Md Ahsanul Bari, Ferdous Hossain, Choo Peng Tan

引用次数: 2

Google Stock Prices Prediction Using Deep Learning 谷歌股票价格预测使用深度学习

2020 IEEE 10th International Conference on System Engineering and Technology (ICSET) Pub Date : 2020-11-09 DOI: 10.1109/ICSET51301.2020.9265146

K. Ullah, Muhammad Qasim

{"title":"Google Stock Prices Prediction Using Deep Learning","authors":"K. Ullah, Muhammad Qasim","doi":"10.1109/ICSET51301.2020.9265146","DOIUrl":"https://doi.org/10.1109/ICSET51301.2020.9265146","url":null,"abstract":"Stock prices are driven by corporate earnings or profit expectations. If a trader thinks that the company's earnings are high or will rise further, they will raise the price of the stock. One way for shareholders to get a return on their investment is to buy low stocks and sell them at high prices. If the company performs poorly and the value of the stock declines, the shareholder will lose some or all of his investment at the time of sale. Therefore, accurate stock price information is important. In this work, we proposed a google stock price prediction model using Recurrent Neural Network (RNN). Previous works on Google stack prediction have used some important techniques and models. Such as deep learning models like Artificial Neural Network (ANN) and Convolutional Neural Network (CNN) has been used for google stock movement prediction. Stock movement prediction on social media data by introducing Stock-Net, Artificial Neural Network (ANN) has also been used with an accuracy score of 0.58. Most of the proposed solutions have limited accuracy. In this paper, we have used Kaggle data of google stock price from the year 2012 to 2016. To predict the stock price of the first two months of 2017 based on the last two months of 2016. For this purpose, we used the Recurrent Neural Network (RNN) as a deep learning model and obtained an accuracy of 87.32%.","PeriodicalId":299530,"journal":{"name":"2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)","volume":"244 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123012510","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

Beach Volume Measurement on Variation of UAV Altitude Mapping 无人机测高程变化下的滩体测量

2020 IEEE 10th International Conference on System Engineering and Technology (ICSET) Pub Date : 2020-11-09 DOI: 10.1109/ICSET51301.2020.9265390

A. R. Yusoff, N. Darwin, Z. Majid, A. Razali, M. Ariff

{"title":"Beach Volume Measurement on Variation of UAV Altitude Mapping","authors":"A. R. Yusoff, N. Darwin, Z. Majid, A. Razali, M. Ariff","doi":"10.1109/ICSET51301.2020.9265390","DOIUrl":"https://doi.org/10.1109/ICSET51301.2020.9265390","url":null,"abstract":"Volume measurement is an important part of construction and mining work, including coastal volume to monitor changes occur along the beach. The volume measurement is usually done using conventional methods. The LiDAR method is the advanced mapping technology used for volume measurement purposes. However, it does involve high costs. Low-cost technology such as the UAV SfM-MVS (Unmanned Aerial Vehicle Structure from Motion Multi-View Stereo) found to be useful for the purpose of measuring the volume. The UAV photogrammetry technology make the mapping can be done all over area including the beach area. However, does the variation of UAV altitude beach mapping comes out with different volume measurement? This paper discovers the volume measurement for UAV photogrammetry mapping at 10m, 20m, 30m, 40m, and 50m altitudes along linear form of Desaru beach area in Johor, Malaysia. The research shows that, GSD of UAV mapping does not influence the UAV volume measurement, the uncertainty trend of UAV volume measurement happen when variation of UAV altitude mapping is done. Large error in UAV mapping effect the UAV volume measure. On the other hand, accurate mapping at certain UAV altitude is not a condition for quality UAV volume mapping as the UAV altitude mapping influence the result.","PeriodicalId":299530,"journal":{"name":"2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117093139","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

Application of 6-Axis Force Torque (F/T) Sensor for a Three Fingered Robot Hand Impedance Control 六轴力扭矩传感器在三指机器人手部阻抗控制中的应用

2020 IEEE 10th International Conference on System Engineering and Technology (ICSET) Pub Date : 2020-11-09 DOI: 10.1109/ICSET51301.2020.9265379

R. Shauri, A. B. Roslan, Z. S. M. Zarib

{"title":"Application of 6-Axis Force Torque (F/T) Sensor for a Three Fingered Robot Hand Impedance Control","authors":"R. Shauri, A. B. Roslan, Z. S. M. Zarib","doi":"10.1109/ICSET51301.2020.9265379","DOIUrl":"https://doi.org/10.1109/ICSET51301.2020.9265379","url":null,"abstract":"In previous work, a position-based force control was established using two-axis load cell buttons embedded into a 7-DOF three-fingered robot hand. However, the inconsistent readings of the incurred force which is due to the loose placement of the movable parts of the fingertip has led to the motivation to replace the sensor. This paper discusses the application of a new 6-axis force sensor for the robot hand impedance control. The objectives of this work are to establish a new interface and to modify the existing impedance control of the robot hand according to the application of the new 6-axis FT sensor and interfaces. The interface between the hardware, sensors, and controller within the robot system was implemented on the Simulink Matlab application. The inputs and outputs of two different Peripheral Component Interconnect (PCI), which are PCI NI-6225 and PCI ADVANTECH-1771 were configured and verified through experiment. It can be observed that the new interface was feasible by using multiple PCIs. Meanwhile, the impedance control results showed that the position reference changed accordingly when the exerted force exceeds the threshold force based on the measurement from the new sensor.","PeriodicalId":299530,"journal":{"name":"2020 IEEE 10th International Conference on System Engineering and Technology (ICSET)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123759286","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