2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)最新文献_第2页

Wireless Signal Propagation Study in an Experiment Building for Optimized Wireless Asset Tracking System Development 基于优化无线资产跟踪系统开发的实验大楼无线信号传播研究

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477599

M. A. Fadzilla, A. Harun, A. Shahriman

{"title":"Wireless Signal Propagation Study in an Experiment Building for Optimized Wireless Asset Tracking System Development","authors":"M. A. Fadzilla, A. Harun, A. Shahriman","doi":"10.1109/ICASSDA.2018.8477599","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477599","url":null,"abstract":"The main objective of the current work is to investigate the wireless signal propagation at 2.4 GHz in an indoor environment. The measurement is done based in Received Signal Strength Indication (RSSI) power using XBEE S2 wireless module connected to a gateway. The RSSI measurement is used to indicate the profile of signal propagating alongside a fixed path within a fixed environmental surrounding such as furniture, equipment, and number of people inside the room. From this experiment, a map of the indoor office was created with precise measurements to allow for a greater analysis of the signal propagation given that the furniture and number of people are fixed. The purpose is to analyze and evaluate the signal propagation properties for optimization of nodes placements and application in future in regards of a wireless asset tracking system. The results show that through careful analyzation and investigation, of the signal propagation using XBee S2, an optimized location for nodes placement in an indoor environment can be determined in order to allow greater efficiency and accuracy in an indoor localization system.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"61 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":"131138847","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

Image Correction Based on Homomorphic Filtering Approaches: A Study 基于同态滤波方法的图像校正研究

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477634

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

{"title":"Image Correction Based on Homomorphic Filtering Approaches: A Study","authors":"W. Mustafa, W. Khairunizam, H. Yazid, Zunaidi Ibrahim, A. Shahriman, Z. Razlan","doi":"10.1109/ICASSDA.2018.8477634","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477634","url":null,"abstract":"Image enhancement is an important topic in image analysis in order to help humans and computer vision algorithms to obtain an accuracy information for analysis. The visual quality and certain image properties, such as brightness, contrast, signal to noise ratio, resolution, edge sharpness, and colour accuracy were improved through the enhancement process. In this paper, a comprehensive study of image enhancement based on spatial domain (Homomorphic Filtering) is presented. The improvement and modification of methods were explained systematically. The objective of this work was to study the advantages and drawbacks for each of the method based on a comparison of the results performance. Besides that, this research focuses on various types of applications, emphasizing the importance of contrast enhancement for the improvement of its performance, especially in terms of accuracy and sensitivity. Previous studies were reviewed and critically compared to gain a better understanding of image enhancement. New ideas for further research improvement in image enhancement were proposed.","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":"131267539","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

Analysis of The Distance Metrics of KNN Classifier for EEG Signal in Stroke Patients 脑卒中患者脑电信号KNN分类器的距离度量分析

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477601

Choong Wen Yean, W. Khairunizam, M. Omar, M. Murugappan, Bong Siao Zheng, S. A. Bakar, Z. Razlan, Zunaidi Ibrahim

{"title":"Analysis of The Distance Metrics of KNN Classifier for EEG Signal in Stroke Patients","authors":"Choong Wen Yean, W. Khairunizam, M. Omar, M. Murugappan, Bong Siao Zheng, S. A. Bakar, Z. Razlan, Zunaidi Ibrahim","doi":"10.1109/ICASSDA.2018.8477601","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477601","url":null,"abstract":"The machine learning algorithms can be applied in many classification problems including the clinical studies. In the stroke emotion analysis, the machine learning is used to analyze the emotion of stroke patients and normal people. The K-Nearest Neighbor (KNN) classifier relies on the distance metric to calculate the nearest class for classification. The aim of this study is to compare the performances of different distance metrics apply on the classification of emotional electroencephalogram (EEG) between stroke and normal people. The Detrended Fluctuation Analysis (DFA) feature was extracted from the EEG signal of both classes and KNN was applied with different distance metrics for comparison. The results showed that the City Block distance metric performs the best among all. Moreover, the lower values of nearest neighbor were required to provide high classification result. The results from this study showed that the performance of the KNN classification was affected by the distance metric used.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"67 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":"115756327","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: 23

Mobile Robot Based Simultaneous Localization and Mapping in UniMAP's Unknown Environment UniMAP未知环境下基于移动机器人的同步定位与映射

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477629

Wan Abdul Syaqur, A. S. Ali Yeon, A. Abdullah, K. Kamarudin, R. Visvanathan, A. Ismail, S. M. Mamduh, A. Zakaria

引用次数: 5

Image Processing Mobile Application For Banana Ripeness Evaluation 香蕉成熟度评价的图像处理移动应用

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477600

K. Kipli, H. Zen, M. Sawawi, Mirza Syazwana Mohamad Noor, N. Julai, N. Junaidi, Muhammad Izzat Shafiq Mohd Razali, Kho Lee Chin, Sharifah Masniah WAN MASRA

{"title":"Image Processing Mobile Application For Banana Ripeness Evaluation","authors":"K. Kipli, H. Zen, M. Sawawi, Mirza Syazwana Mohamad Noor, N. Julai, N. Junaidi, Muhammad Izzat Shafiq Mohd Razali, Kho Lee Chin, Sharifah Masniah WAN MASRA","doi":"10.1109/ICASSDA.2018.8477600","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477600","url":null,"abstract":"Mobile application has been identified as the best platform for the expert system tool to reach as many users as possible. The main contribution of this paper is the development of an expert system tool for evaluating the ripeness of banana fruit. Utilizing Google Cloud Platform, the application sends the sample of banana image through Google Cloud Vision Application Programming Interface to get attribute readings from the sample image. The result of the analysis is compared with application's database of attributes datasets to determine the ripeness of the banana sample image. In this work, the ripeness of the banana is classified into three different class of maturity; unripe, ripe and overripe systematically based on their key attributes value. This work also involved the process of collecting samples of banana with different level of ripeness, application development and evaluation to improve the accuracy of the developed applications classification results using image processing and data mining techniques.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"24 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":"115029166","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: 17

Polarization Imaging for Face Spoofing Detection: Identification of Black Ethnical Group 偏振成像在人脸欺骗检测中的应用:黑人族群的识别

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477608

Azim Zaliha Abd Aziz, Hong Wei

{"title":"Polarization Imaging for Face Spoofing Detection: Identification of Black Ethnical Group","authors":"Azim Zaliha Abd Aziz, Hong Wei","doi":"10.1109/ICASSDA.2018.8477608","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477608","url":null,"abstract":"Recently, several studies have shown the ability of polarized light as one of the face spoofing countermeasures. In this paper, polarized light is used to identify genuine human user from black ethnical skin color. Printed photos are used as spoofing attacks. Then, the Stokes parameters are applied to generate ISDOLPimage for each genuine face and printed photo. Visually, the ISDOLPof genuine black users seem brighter than the other skin colors. The mean intensity has erroneously classified all the ISDOLPimages of black skins as photo faces. Coarsely comparing ISDOLP histograms of black skin and printed photos shows that data distributions between the black skin and printed photo are relatively similar. The bimodality coefficient (BC) algorithm is then applied to study the distributions modality. Surprisingly, the BC has been able to identify these genuine black skin group well, but fails to other ethnical groups. A newly proposed fusion formula which is named as the Mean_BC (MBC) has achieved higher detection accuracy rate and can be a robust face spoofing detection measure for polarized database consists of various ethnical groups.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"4 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":"128519584","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

A Review of Different Segmentation Approach on Non Uniform Images 非均匀图像的不同分割方法综述

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477611

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

引用次数: 7

Simulation Studies - Path Tracking of an Autonomous Electric Vehicle (AEV) by Using Fuzzy Information of Speed and Steering Angle 基于速度和转向角模糊信息的自动驾驶电动汽车路径跟踪仿真研究

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477593

H. Halin, Hasri Haris, Z. Razlan, W. Khairunizam, I. Zunaidi, H. Desa, K. Ikram, S. A. Bakar

{"title":"Simulation Studies - Path Tracking of an Autonomous Electric Vehicle (AEV) by Using Fuzzy Information of Speed and Steering Angle","authors":"H. Halin, Hasri Haris, Z. Razlan, W. Khairunizam, I. Zunaidi, H. Desa, K. Ikram, S. A. Bakar","doi":"10.1109/ICASSDA.2018.8477593","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477593","url":null,"abstract":"The development of an autonomous vehicle creates a positive impact to the environment, increase passengers safety, and road efficiency. Path tracking control is the core element in the development of an Autonomous Electric Vehicle (AEV). The path tracking is the ability of the AEV to follow the predetermined paths. Path tracking techniques utilizes the steering wheel angle in order to steer the autonomous vehicle. The experiments tend to produce a lot of error, either from the environment or from the devices itself. The performance of the designed Fuzzy controller affected by the errors. The simulation studies are more reliable in order to study the performance of the developed controller. The path tracking simulation was simulated in the LabVIEW program. The simulation uses the actual coordinate at the Institut Kemahiran Mara (IKM) Beseri. This paper focuses on path tracking simulation using fuzzy controller. The path tracking error distance was recorded along the simulation. The average for path tracking error recorded was 1.59 m. The simulation results used to enhance the performance of the Fuzzy controller in the future.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"11 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":"129584874","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

Localization Assessment for Asset Tracking Deployment by Comparing an Indoor Localization System with a Possible Outdoor Localization System 通过比较室内定位系统和可能的室外定位系统对资产跟踪部署的定位评估

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477602

M. A. Fadzilla, A. Harun, A. Shahriman

{"title":"Localization Assessment for Asset Tracking Deployment by Comparing an Indoor Localization System with a Possible Outdoor Localization System","authors":"M. A. Fadzilla, A. Harun, A. Shahriman","doi":"10.1109/ICASSDA.2018.8477602","DOIUrl":"https://doi.org/10.1109/ICASSDA.2018.8477602","url":null,"abstract":"This paper presents an assessment for an asset tracking system deployment using XBEE S2 by comparing both the indoor localization with a possible outdoor localization system given that the environmental factors such as weather, Line Of Sight and furniture interference are kept fixed for both location. The characterization of wireless point-to-point channel for wireless networks application in an indoor office, on grass fields and on tar road are compared and analyzed for future asset tracking system development. These comparison and analysis may leads to a greater efficiency and development in an asset tracking system in the future. From this experiment, an indoor localization based on the Received Signal Strength Indication (RSSI) system was developed and analyzed accordingly in order to study the performance and accuracy that the system may have. After the completion of the indoor localization system, a signal propagation study was done for outdoor area on the grass fields and on tar road in order to analyze its performance in coherent to the indoor localization. The result shows that the outdoor localization by using XBEE S2 may not be as efficient as an indoor localization as it more complex, not cost efficient, high power consumption and less durable while other device can be used for greater efficiency such as Radio Frequency Identification reader and tags, Lora WAN, MEMSIC and WLAN.","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":"121647934","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

Recent Advances in Wireless Sensor Network Routing Protocols: An Energy Efficiency Perspective 无线传感器网络路由协议的最新进展:能源效率的观点

2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA) Pub Date : 2018-08-01 DOI: 10.1109/ICASSDA.2018.8477598

M. Loganathan, R. A. Rahim, Z. Ibrahim, T. Sabapathy, M. Jusoh, R. B. Ahmad, M. Elshaikh, M. N. Osman

引用次数: 4