2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)最新文献_第4页

Automatic Vehicle License Plate Recognition System Based on Image Processing and Template Matching Approach 基于图像处理和模板匹配方法的车牌自动识别系统

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477639

K. Yogheedha, A. Nasir, Haryati Jaafar, S. M. Mamduh

{"title":"Automatic Vehicle License Plate Recognition System Based on Image Processing and Template Matching Approach","authors":"K. Yogheedha, A. Nasir, Haryati Jaafar, S. M. Mamduh","doi":"10.1109/ICASSDA.2018.8477639","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477639","url":null,"abstract":"A vehicle license plate recognition system is an important proficiency that could be used for identification of engine vehicle all over the earth. It is valuable in numerous applications such as entrance admission, security, parking control, road traffic control, and speed control. However, the system only manages to identify the license number and needs an operator to control the collected data. Therefore, this paper proposes an automatic license plate recognition system by using the image processing and template matching approach. The current study aims to increase the efficiency of license plate recognition system for Universiti Malaysia Perlis (UniMAP) smart university. This venture comprises of simulation program to recognize license plate characters where a captured image of vehicles will be the input. Then, these images will be processed using several image processing techniques and optical character recognition method in order to recognize the segmented number plate. The image processing techniques consist of colour conversion, image segmentation using Otsu's thresholding, noise removal, image subtraction, image cropping and bounding box feature. The optical character recognition based on template matching approach is used to analyse the printed characters on the segmented license plate image and to produce an output data consisting of characters. Overall, the proposed automatic vehicle license plate recognition system is capable to perform the recognition process by successfully recognizing license plate of 13 cars, from a total of 14 cars.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123489212","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: 24

Smart Body Temperature Monitoring system for Children via Mobile 手机儿童智能体温监测系统

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477613

A. Joseph, Timothy Huang Li Xuan, K. Kipli, Kho Lee Chin, Ngu Sze Song

{"title":"Smart Body Temperature Monitoring system for Children via Mobile","authors":"A. Joseph, Timothy Huang Li Xuan, K. Kipli, Kho Lee Chin, Ngu Sze Song","doi":"10.1109/ICASSDA.2018.8477613","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477613","url":null,"abstract":"Health monitoring system has been an interesting topic recently among medical practitioners, engineers as well as IT professionals [1]–[2]. However, the application of automatic temperature monitoring system where parents can monitor the temperature of their children is practically new in Malaysia and other countries. Babies are much more sensitive to high body temperature and any occurrence of fever has to be taken very seriously. Smart body temperature monitoring system for baby and infant is beneficial to the parents where such implementation will help parents to save their energy and time. The objective of this project is to design and develop smart body temperature measurement device that can be observed by the parents for monitoring children body temperature over the time especially night time in case of abnormalities or having high fever. In the proposed method, body temperature wireless sensors is developed. The target of user of this device is children under age of five. This project develops a monitoring method which benefit parents and children by lessen anxiety of parents while ensure the children body temperature is under dangerous level. The prototype showed the temperature reading was successfully receive on the android application. The temperature measurements were validated with Rossmax TG100 with a difference of plus minus 0.5 degree celcius. The temperature sensors will send the readings to one device and triggered the system alarm when the body temperature is exceed the threshold. With this device, the temperature of the children can be monitored automatically over the night and alert to the parents once the reading is triggered.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124901820","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

Preliminary Study of Water Quality Monitoring Based on WSN Technology 基于WSN技术的水质监测初步研究

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477627

Lim Yong Li, H. Jaafar, N. H. Ramli

{"title":"Preliminary Study of Water Quality Monitoring Based on WSN Technology","authors":"Lim Yong Li, H. Jaafar, N. H. Ramli","doi":"10.1109/ICASSDA.2018.8477627","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477627","url":null,"abstract":"Water plays an important role in human daily life such as drinks of human, farming, livestock breeding and also manufacturing. However, urbanization modernization and industrialization had cause pollution to the clean water source for the usage agriculture. Therefore, it is vital to have a water quality monitoring tool which provides real-time water quality data and cover large area. Although the research of water quality monitoring system is widely done and applied, the current system is still expensive, small coverage and not user friendly. Moreover, most of the WQMS developed is not suitable for agriculture purpose due to the usage of unsuitable sensors. Thus, an affordable, large coverage and user friendly wireless water quality monitoring system with suitable sensors is proposed to assist the authority effectively in maintaining the health of the natural water source around the area. Here, a low-cost, large coverage and user friendly water quality monitoring system with multi sensor which is based on Wi-Fi Technology is presented. The process of designing the system involves three main parts which are hardware development, software development and also wireless network process. For hardware development part, different types of sensor will be employed and the sensors will be integrated with microcontroller. As for the software development, a few programming software is integrated for data acquisition, processing and displaying. Finally, for the wireless network process, wireless network module is used to for data transmitting and receiving while website is used to display the obtained data.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"15 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120909405","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: 14

Analysis on Non-Linear Features of Electroencephalogram (EEG) Signal for Neuromarketing Application 脑电图信号非线性特征分析及其在神经营销中的应用

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477618

Hooi Nee. Oon, A. Saidatul, Z. Ibrahim

{"title":"Analysis on Non-Linear Features of Electroencephalogram (EEG) Signal for Neuromarketing Application","authors":"Hooi Nee. Oon, A. Saidatul, Z. Ibrahim","doi":"10.1109/ICASSDA.2018.8477618","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477618","url":null,"abstract":"Neuromarketing is thestudy of the human brain's response towards commercial, brands and other marketing stimuli. The experimental protocol consists of four categories of merchandises with five products each. The eego Sports device (ANT Neuro, Enschede, The Netherlands) with 32 channels at a sampling frequency of 512 Hz are used for data collection from 10 subjects. The raw EEG signal is bandpass filtered into two frequency bands which are alpha (8–13 Hz) and beta (13–30 Hz). The non-linear feature, Detrended Fluctuation Analysis (DFA) are extracted from filtered signals. Twoclassifiers, Neural Network (NN) and k-Nearest Neighbors (k-NN) are used to analyse the features extracted. 1s segments of EEG signals are used in this study. DFA features indicate that the Fast Food category is most preferred as it obtained the highest classification accuracy of 80%. The most preferred products for Category A (Smartphones) is iPhone, Category B (Automobiles) is Honda, Category C (Fast Food) is McDonalds and Category D is (Beverages) is milk. The DFA value for alpha waves are highest and for beta waves are lowest if the subjects prefer the products.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126556632","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

Implementation of PID Based Controller Tuned by Evolutionary Algorithm for Double Link Flexible Robotic Manipulator 基于PID的双连杆柔性机械臂进化整定控制器的实现

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477615

J. Annisa, I. Darus, M. Tokhi, S. Mohamaddan

{"title":"Implementation of PID Based Controller Tuned by Evolutionary Algorithm for Double Link Flexible Robotic Manipulator","authors":"J. Annisa, I. Darus, M. Tokhi, S. Mohamaddan","doi":"10.1109/ICASSDA.2018.8477615","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477615","url":null,"abstract":"The paper investigates the development of intelligent hybrid collocated and non-collocated PID controller for hub motion and end point vibration suppression of double-link flexible robotic manipulator. The system was modeled using multi-layer perceptron neural network structure based on Nonlinear Autoregressive Exogenous (NARX) model. The hybrid controllers are incorporated with optimization algorithm that is ABC and PSO to find out the parameters of the PID controllers. Numerical simulation was carried out in MATLAB/Simulink to evaluate the system in term of tracking capability and vibration suppression for both links. Performance of the controllers are compared with the hybrid PID-PID Ziegler Nichols (ZN) controller in term of input tracking and vibration suppression. The results show that PSO revealed the superiority over ABC in controlling the system. The system managed to reach desired angle for both hub at lower overshoot using proposed method. Meanwhile, the vibration reduction shows great improvement for both link 1 and 2. This signifies that, the PSO algorithm is very effective in optimizing the PID parameters.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"898 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132273408","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

Comparative Study on Short Time-Frequency and Time Domains for Frog Identification System 蛙类识别系统短时频域与时域的比较研究

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477603

H. Jaafar, D. A. Ramli, A. S. Abdul Nasir

{"title":"Comparative Study on Short Time-Frequency and Time Domains for Frog Identification System","authors":"H. Jaafar, D. A. Ramli, A. S. Abdul Nasir","doi":"10.1109/ICASSDA.2018.8477603","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477603","url":null,"abstract":"Automatic frog sound identification system is one of the useful approaches to assist experts in identifying frog species and to replace manual techniques claimed to be costly and time consuming. However, to execute an automatic system in noisy environment due to background noises is a challenging task. Instead of depending on physical observation procedure to identify the particular species, this study proposes an automated frog identification system based on bioacoustics signal analysis. Experimental studies of 15 species of frogs are used in this study. These calls are then corrupted by 20dB 10dB and 5dB in different stationary and nonstationary noises. The calls are segmented with three different techniques which are Sinusoidal Modeling (SM), combination of Short Time Energy (STE) and Short Time Average Zero Crossing Rate (STAZCR) (STE+STAZCR) and combination of Energy (E) and Zero Crossing Rate (ZCR) (E+ZCR). A syllable feature extraction method i.e. mel-frequency cepstrum coefficients (MFCC) employed to extract the segmented signal. Subsequently, k nearest neighbor (kNN) are employed in order to evaluate the performance of the identification system. Two experiments have been experimented to compare the performace of SM, E+ZCR and STE+ZTAZCR. The classification performance for three techniques are found to be 90.330/0, 93.340/0 and 93.21% for the SM, E+ZCR and STE+ZTAZCR, respectively.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115398549","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

Development of Fuzzy Expert System for Diagnosis of Diabetes 糖尿病模糊诊断专家系统的开发

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477635

A. Abdullah, Nurul Sakinah Fadil, W. Khairunizam

引用次数: 15

Improved Feng Binarization Based on Max-Mean Technique on Document Image 基于最大均值技术的文档图像改进Feng二值化

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477616

W. Mustafa, W. Khairunizam, Zunaidi Ibrahim, A. Shahriman, Z. Razlan

引用次数: 12

Development of Double Rotation Vertical Axis Generator with Double Rotation of Wind Turbine 风力机双转立式双转发电机的研制

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477637

N. I. Ahmad, M. Z. Aihsan, N. A. Rahman, Diyya Hidayah Abdul Rahman, Mohd Hazrul Jamhari, Nazrul Azril Nazlan, W. Mustafa, W. Khairunizam, Zunaidi Ibrahim, Shahriman Ab, Z. Razlan

引用次数: 5

Comparison of Features Based on Spectral Estimation for the Analysis of EEG Signals in Driver Behavior 基于谱估计的驾驶员行为脑电信号特征分析比较

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477633

Mohamed Fredj, S. F. Ahmed, Zunaidi Ibrahim, S. Yaacob

{"title":"Comparison of Features Based on Spectral Estimation for the Analysis of EEG Signals in Driver Behavior","authors":"Mohamed Fredj, S. F. Ahmed, Zunaidi Ibrahim, S. Yaacob","doi":"10.1109/ICASSDA.2018.8477633","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477633","url":null,"abstract":"Anticipating such catastrophic road accident is one of the main interest of Malaysian government policies, vehicle manufactures strategies, and research in automotive safety. The vital aspect that causes road accident is a human error due to the behavior of the drivers. This research presents approaches for alertness detection based on the electroencephalography and power spectrum to evaluate driver's vigilance level in a static driving simulator. Twenty datasets were acquired using the eight-channel wireless headset for EEG signals recording. Two driving tasks, that are Alert Driving (AD) and Fatigue Driving (FD), were instigated for data acquisition, to discriminate the driver's alertness level. The AD task is designed to demonstrate the alertness condition and FD task is for the fatigued state. The acquired EEG signals are preprocessed to eliminate the noise interference and segmented into equal-length frame samples. The frame samples (signals) are segregated into four frequency range signals (i.e. Delta, Theta, Alpha, and Beta) and used to select the distinctive attribute. To estimate the alertness level, four different frequency-domain power spectral density (PSD) feature extraction techniques were evaluated (specifically periodogram, Lomb-Scargle, multitaper, and Welch). Multilayer Neural Network (MLNN) is used to evaluate the performance of all the extracted features. Ten-fold cross-validation method was used for validating and testing the reliability of the classifier model. The highest average accuracy is obtained from PSD using Welch with 96.7% and 85.0% for training accuracy and testing accuracy respectively.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133015684","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: 11