2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)最新文献_第3页

Activity Recognition using Deep Denoising Autoencoder 基于深度去噪自编码器的活动识别

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068571

M. H. M. Noor, Mohd Anuaruddin Bin Ahmadon, M. K. Osman

引用次数: 3

Combined Effect of Neolamarckia Cadamba Leaves and Electroporation Method on HeLa Cell Anti- Proliferation Process 电穿孔法联合新木参叶对HeLa细胞抗增殖的影响

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068550

M. M. A. Abdul Jamil, Nur Adilah Abd Rahman, Daing Noor Farhanah Mohamad Ishak, Mohd Nazib Adon, C. C. Choon, R. Ambar, R. A. Wahab

{"title":"Combined Effect of Neolamarckia Cadamba Leaves and Electroporation Method on HeLa Cell Anti- Proliferation Process","authors":"M. M. A. Abdul Jamil, Nur Adilah Abd Rahman, Daing Noor Farhanah Mohamad Ishak, Mohd Nazib Adon, C. C. Choon, R. Ambar, R. A. Wahab","doi":"10.1109/ICCSCE47578.2019.9068550","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068550","url":null,"abstract":"This study suggests that natural sources may become an important tool in treating cancer. Neolamarckia cadamba (NC) leaves also well-known as “Anthocephalus Cadamba”, is a precious plant in Ayurvedic medicine. HeLa cells are one of the examples of eukaryotic cells type. It is derived from human cervical cancer cells. This experiment is conducted in different concentrations of NC Leaves (1μg/ml, 5μg/ml, 10μg/ml, 20μg/ml, 30μg/ml, 40μg/ml, 50μg/ml, 60μg/ml, 70μg/ml, 80μg/ml, 90μg/ml and 100μg/ml) for 48 hours. This experiment's result proves that the anti-cancer properties of the extract of NC leaves are by increasing the concentration of extract, the numbers of cell viability will decrease. For contribution, the process of NC leaves extract will be combined with the electroporation process to investigate the effect on HeLa cell. Electroporation parameters used for this study were (voltage 600v/cm, pulse duration 5ms, single pulse).","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123098368","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

Automated Stand-alone Video-based Microsleep Detection System by using EAR Technique 基于EAR技术的自动独立视频微睡眠检测系统

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068566

Mohd Arif Ngasri, I. Isa, S. N. Sulaiman, Z. H. C. Soh

{"title":"Automated Stand-alone Video-based Microsleep Detection System by using EAR Technique","authors":"Mohd Arif Ngasri, I. Isa, S. N. Sulaiman, Z. H. C. Soh","doi":"10.1109/ICCSCE47578.2019.9068566","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068566","url":null,"abstract":"Microsleep while driving is the most event that contributes to the car accident. The proposed automated system deals with the development of system detection based on video of eye opening specifically for microsleep event among drivers. This system is used to help in avoidance of car accident that cause by microsleep among drivers while driving. Mainly, the objective of this proposed system is to detect the microsleep event while driving and to alert drivers because there is nobody can alert the driver with microsleep especially when they are driving alone. The proposed system is developed by using a python programming with image processing technique and Raspberry Pi module to make it applicable as stand-alone device. The EAR algorithm is the most importance in the proposed work as the microsleep detection made through eyes closure. Several conditions of eyes opening and closure, light and darkness, and with or without glasses/sunglasses have been tested. From the result, the proposed system shows that the ability of the proposed automated microsleep detection based on video imagery has showing a promising performance. However, the effectiveness of the eye detection must tolerate with the surrounding condition which also due to the type of camera used. Therefore, the camera is suggested to be able to function with night vision features such as infrared (IR) mode so it can be applied for daytime or night.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126517332","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 Finite-Element Simulation-based Prototyping for Classical Guitars using COMSOL Multiphysics 基于COMSOL Multiphysics的古典吉他有限元仿真原型设计

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068585

C. R. Lucas, Franz A. de Leon

引用次数: 1

Distributive Maximum Power Point Tracking for Serial Photovoltaic Panels with Partial Power Regulation 部分功率调节串联光伏板的分布式最大功率点跟踪

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068557

Y. Hsieh, C. Moo, You-Chun Huang, Shun-Yi Liu, Yong-Nong Chang

引用次数: 1

Image Quality Assessment for Image Segmentation Algorithms: Qualitative and Quantitative Analyses 图像分割算法的图像质量评估:定性和定量分析

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068561

Syed Zakwan Syed Zaini, Nur Najihah Sofia, M. Marzuki, M. F. Abdullah, K. A. Ahmad, I. Isa, S. N. Sulaiman

{"title":"Image Quality Assessment for Image Segmentation Algorithms: Qualitative and Quantitative Analyses","authors":"Syed Zakwan Syed Zaini, Nur Najihah Sofia, M. Marzuki, M. F. Abdullah, K. A. Ahmad, I. Isa, S. N. Sulaiman","doi":"10.1109/ICCSCE47578.2019.9068561","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068561","url":null,"abstract":"Image segmentation is part of the image processing and it is important as it has been used in various fields such as medical imaging, autonomous driving and object detection. The selection of technique that is suitable for application is crucial in order to get a good result. The problem occurs when one would like to choose the right method that will give a good segmented image. Therefore, this paper presents the image quality assessment for image segmentation algorithms in terms of qualitative and quantitative analyses. In this project, three techniques of image segmentation which are K-means clustering, threshold and watershed marker controlled are compared with each other and the evaluation result is based on the image quality assessment. Those three methods used to segment greyscale images are taken from the Internet. The objective is to find which technique gives the best result based on the image quality assessment. The parameters used to analyse the quality of the processed image are the mean square error (MSE), average difference (AD), mean absolute error (MAE), structural similarity index metric (SSIM), also the structural dissimilarity index metric (DSSIM). The algorithm of the image segmentation techniques is built using open CV-C++. Based on the assessment, the results, it shows that K-means clustering gives a better result qualitatively and quantitatively while the watershed marker-based shows a good qualitative result. This quality assessment technique hopefully could help in the selection of the image segmentation technique for the respective applications.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128584630","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

Novel Design and Implementation of Automated Luggage Carrier for an Airport System 机场系统自动行李架的新设计与实现

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068590

P. Gunasekara, A. Rathnayake, U. L. T. H. Ratnayake, D. Dasanayake, S. Fernando, D. Madusanka

引用次数: 0

Development of Powered Knee Orthosis for FES-Assisted Knee Swing fes辅助摆动膝关节的动力矫形器的研制

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068583

A. Rahim, A. Che-Ani, Z. Hussain, R. Boudville, K. A. Ahmad

引用次数: 4

Hadoop MapReduce's InputSplit based Indexing for Join Query Processing Hadoop MapReduce基于InputSplit的索引连接查询处理

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068559

R. Ahmad, M. N. Zakaria, A. Abdullahi

{"title":"Hadoop MapReduce's InputSplit based Indexing for Join Query Processing","authors":"R. Ahmad, M. N. Zakaria, A. Abdullahi","doi":"10.1109/ICCSCE47578.2019.9068559","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068559","url":null,"abstract":"Join queries are amongst the most used form of queries, where records from two or more tables or files are retrieved in order to have a comprehensive, comparable and contrasted view of certain data. However, the processing of the join queries come with higher overhead since all the tables or files involved in the process have to be considered. It can easily be imagined how much the overhead could become when data contained in such tables/files is big data. The use of indexing on Hadoop and its abstractions have resulted in improved performance when processing queries. However, even with the use of some of the indexing approaches, the processing of join query indicates higher overhead, except when the amount of data to processed is reduced by the indexing techniques before the query processing even get started. One indexing technique that ensures this, is the InputSplit based index. This paper showcases how InputSplit based indexing can be implemented in Hadoop MapReduce as well the experimental results of running a join query using such index. The results show at least 50% reduction in runtime when compared to both normal Hadoop MapReduce and Clustered Index based on blockIds query processing approaches.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131200029","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

Image Quality Assessment for Image Filtering Algorithm: Qualitative and Quantitative Analyses 图像滤波算法的图像质量评估:定性和定量分析

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068565

Muhamad Hafiz Ishak, Nur Najihah Sofia Mohd Marzuki, M. F. Abdullah, Z. H. C. Soh, I. Isa, S. N. Sulaiman

{"title":"Image Quality Assessment for Image Filtering Algorithm: Qualitative and Quantitative Analyses","authors":"Muhamad Hafiz Ishak, Nur Najihah Sofia Mohd Marzuki, M. F. Abdullah, Z. H. C. Soh, I. Isa, S. N. Sulaiman","doi":"10.1109/ICCSCE47578.2019.9068565","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068565","url":null,"abstract":"This paper will introduce the image quality assessment for image filtering algorithm based on qualitative and quantitative analyses. Image with noise becomes a problem for gaining information. The process begins by improving the image quality by applying various filters that can enhance the image to be subjectively better. The image result can be seen after the image has gone through the enhancement process (image filter) where more detail can be seen, unwanted flickering removed and the image contrast increasingly better. The objective is to find an image filtering algorithm that gives an excellent result based on the image quality assessment. The image quality assessment is the analyses based on the parameter of means square error and peak- signal noise ratio in decibels by using MATLAB software. The image filtering algorithm then uses the median filter, gaussian filter, mean filter and wiener filter. Different noises such as gaussian and salt & pepper are applied with different noise percentage added to the image to determine which image filter has better performance. Last but not least, this paper image quality assessment for the image filtering algorithm through the qualitative and quantitative analyses will discuss the most efficient image filter to remove unwanted signal and noise on the image.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132880744","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