2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)最新文献_第2页

How Good is My Software? A Simple Approach for Software Rating based on System Testing Results: A Case Study via Test-in-the Cloud Platform 我的软件有多好?基于系统测试结果的简单软件评级方法——以云平台测试为例

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068577

Muhammad Dhiauddin Mohamed Suffian, Loo Fook Ann, Farah Farhana Mohd Nazri, F. R. Fahrurazi, Shi-Tzuaan Soo, Mohamed Redzuan Abdullah

引用次数: 0

Vision-based Human Action Recognition on Pre-trained AlexNet 基于视觉的预训练AlexNet人类动作识别

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068586

N. M. Zamri, Goh Fan Ling, Pang Ying Han, S. Ooi

{"title":"Vision-based Human Action Recognition on Pre-trained AlexNet","authors":"N. M. Zamri, Goh Fan Ling, Pang Ying Han, S. Ooi","doi":"10.1109/ICCSCE47578.2019.9068586","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068586","url":null,"abstract":"The Deep learning analysis has been extensively carried out in the context of object/ pattern recognition due to its excellence in feature extraction and classification. However, the superior performance just can be guaranteed with the availability of huge amounts of training data and also high-specification data processing unit to process the data deeper at high speeds. Hence, another alternative is by applying transfer learning. In transfer learning, a neural network model is first trained on a data similar to the targeted data. With that, the knowledge such as features, weights etc. could be leveraged from the trained model to train the new model. In this project, a vision-based human action recognition via a transfer learning is conducted. Specifically, in the proposed approach, the earlier layers of a pre-trained AlexNet is preserved since those extracted low-level features are characterizing generic features which are common to most data. However, the pre-train network is fine-tuned based on our interested data, that is human action data. Since AlexNet requires input data of size 227*227*3, the frames of each video are processed into 3 different templates. The three computed templates are: (1) Motion History Image carrying spatio-temporal information, (2) Binary Motion Energy Image incorporating motion region information and (3) optical flow template holding accumulative motion speed information. The proposed approach is validated on two publicly available databases, which are Weizmann database and KTH database. From the empirical results, a promising performance is obtained with about 90% accuracy from the databases.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"31 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":"123814507","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: 4

Knowledge-Based Improvement of Machine Downtime Management for IR4.0 基于知识的IR4.0机器停机管理改进

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068584

K. Yew, O. Foong, T. Sivarajan

引用次数: 1

Implementation of the Force Measurement Feature in the Educational AFM 力测量功能在教育AFM中的实现

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068575

S. Loh, K. Yeap, Jun Yan Lim, J. Sim

引用次数: 0

System Identification of Industrial Debutanizer Column 工业脱塔塔系统辨识

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068541

Syeda Anmol Fatima, H. Zabiri, S. A. Taqvi, N. Ramli

引用次数: 7

Combination of Local Binary Pattern and Face Geometric Features for Gender Classification from Face Images 结合局部二值模式和人脸几何特征的人脸图像性别分类

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068593

H. K. Omer, H. Jalab, A. M. Hasan, N. E. Tawfiq

{"title":"Combination of Local Binary Pattern and Face Geometric Features for Gender Classification from Face Images","authors":"H. K. Omer, H. Jalab, A. M. Hasan, N. E. Tawfiq","doi":"10.1109/ICCSCE47578.2019.9068593","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068593","url":null,"abstract":"In the recent time bioinformatics take wide field in image processing and computer vision. Gender classification is essentially the task of identifying the person gender based on the facial image. Currently the gender classification by facial images becomes very popular due to the current visual instruments. There are different algorithms of gender classification, and each algorithm has a different approach to extract the facial feature from the input image and perform the classification. However, the single type face feature cannot be enough to represent the detailed in facial images. In this paper, we propose a new approach which consists in combining the local binary patterns (LBP) and the face geometric features to classify gender from the face images. The Histogram equalization is used to adjust the contrast of the input image. For encoding the gray level pixel, the LBP is used as a binary quantization, then the face GLCMs are used to extract the geometric structure of the face image. For gender classification, the Support Vector Machine is used as the classifier. The face images from AT&T face dataset is used to perform the experiments. The experimental results show that the application of both LBP, and the GLCMs features improves the performance the classification of gender in face images.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"51 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":"132724547","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

Topic and Sentiment Classification of Streaming Tweets about Tourist Destinations in Thailand 泰国旅游目的地流媒体推文的主题和情感分类

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068582

Rangsipan Marukatat, Jiraporn Chumpia, Supisara Yongcharoenchai

引用次数: 1

Distillation Column: Review of Major Disturbances 精馏塔:主要扰动回顾

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068539

S. A. Taqvi, H. Zabiri, L. Tufa, Syeda Anmol Fatima, A. Maulud

{"title":"Distillation Column: Review of Major Disturbances","authors":"S. A. Taqvi, H. Zabiri, L. Tufa, Syeda Anmol Fatima, A. Maulud","doi":"10.1109/ICCSCE47578.2019.9068539","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068539","url":null,"abstract":"The continuous increase in the global energy demand obliges the necessity of energy production and its efficient utilization. The energy conservation is a primary concern of every process industry due to the increasing fuel prices. The distillation column is considered as one of the essential energy-intensive unit operations of any chemical and process industry. Therefore, process engineers are finding ways for efficient process monitoring and better control. However, the non-productive nature and the complexities in the column has increased the difficulties to handle this unit operation. Hence, it is desirable to operate the column efficiently to attain high product quality. The energy consumptions during distillation can have a substantial impact on overall profitability. A critical review of the various disturbances and operational difficulties has been presented. The causes, consequences and recommendation to handles various anomalies in distillation has also been presented which may help to identify the root cause while doing detection and diagnosis of various faults.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"111 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":"121576087","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

Volume Estimation of Stockpile Using Unmanned Aerial Vehicle 基于无人机的库存体积估算

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068543

Mysaira Amy Tamin, N. Darwin, Z. Majid, M. Ariff, K. M. Idris, A. Samad

{"title":"Volume Estimation of Stockpile Using Unmanned Aerial Vehicle","authors":"Mysaira Amy Tamin, N. Darwin, Z. Majid, M. Ariff, K. M. Idris, A. Samad","doi":"10.1109/ICCSCE47578.2019.9068543","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068543","url":null,"abstract":"At present, contractors continue to face difficulty in estimating the amount of the earthwork volume and cut and fill for the earthwork. The surveyor manually carries out detail survey which time consuming and problem occurs either come from the instrument or human error. However, Unmanned Aerial Vehicle (UAV) installed with high technology sensor offer many advantages especially for fast data collection in the require time frame. Therefore, this research focused on determining the accuracy of stockpile volume calculation using UAV. The objectives of this study are to investigate the error in field measurement and high precision volume calculation, to map the volume of the stockpile using UAV image and to calculate time taken the survey conducted. The imaging process have been carried out by using UAV, meanwhile the detail survey conducted by using Laser Scanning in order to verify and compare both method accuracy. This study has been carried out at Hup Seng Quarry, Ulu Choh. as a study area. The obtained result shows that Terrestrial Laser Scanner (TLS) method more time consuming and Digital Elevation Model (DEM) both methods were generated. As conclusion, this method able to generate contour, DEM and calculated accurate volume as the relative error is 0.002%.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"84 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":"134435097","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

Index 指数

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/iccsce47578.2019.9068553

引用次数: 0