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

Automated Deformation Detection System for Tubes and Rods in Manufacturing Industries Using Quasi Digital Sensors 基于准数字传感器的制造业管棒自动变形检测系统

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068591

Karthik Pandaram, V. Manikandan, S. Ramesh, M. Sivaramakrishna

{"title":"Automated Deformation Detection System for Tubes and Rods in Manufacturing Industries Using Quasi Digital Sensors","authors":"Karthik Pandaram, V. Manikandan, S. Ramesh, M. Sivaramakrishna","doi":"10.1109/ICCSCE47578.2019.9068591","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068591","url":null,"abstract":"This paper reports the feasibility study of developing an automatic deformation detection system. This system detects the out of roundness or deformation on the surface of cylindrical tubes or rods during mass production for specified application with better quality control. It has been identified that there is need for an automated system that will help tube or rod manufacturing industries to detect deformation in the end products to meet quality assurance goals of the industry. The system that has been reported in this paper uses an out of roundness or deformation detection sensor which works on the principle of the magnetic induction variation in terms of frequency for detecting any bulging or deformation on the surface of the rod. This system has been tested with a cylindrical rod with non-uniform surface and can detect the minimum deformation of 5 microns. It has been observed that there is feasibility for developed system to be used to detect a minimum deformation of 1 micron if the sensor design is further fine-tuned. This system is advantageous to the manufacturing industry for cost effective and timely production.","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":"129561286","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 Asphalt Pavement Crack Detection and Classification using Deep Convolution Neural Network 基于深度卷积神经网络的沥青路面裂缝自动检测与分类

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068551

N. M. Yusof, M. K. Osman, Z. Hussain, M. H. M. Noor, A. Ibrahim, N. Tahir, N. Abidin

引用次数: 9

Image Transmission Scheme with Joint Routing and HWT-based Compression in Wireless Sensor Networks 无线传感器网络中联合路由和基于hwt压缩的图像传输方案

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068507

J. Abdullah, Ahmad Aldoori, A. Jamil

{"title":"Image Transmission Scheme with Joint Routing and HWT-based Compression in Wireless Sensor Networks","authors":"J. Abdullah, Ahmad Aldoori, A. Jamil","doi":"10.1109/ICCSCE47578.2019.9068507","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068507","url":null,"abstract":"The network topology one of the most important techniques has been used to reduce energy consumption and increase prolong lifetime of WSN. Reduce packet size before transmitting is another important technique to increase prolong lifetime of WSN. From this perspective, this paper study and analysis routing protocols under different network topology and compressed method. Theoretical analysis and experimental results show that our CPF protocol and compressed method are superior to several earlier network topology protocols for extending network lifetime. The simulation results show significantly enhancement in: the big gap in the network has been gone; the number of died nodes reduced so much, which means increase network life time; maintain on network connectivity even with nodes died; 66% of died nodes have been reduced. This study has been applied with number of different network topology and with different standard pictures. Also, the result shows that our two methodologies regarding to CPF protocol and compressed method produce better connectivity and less died nodes if they are compared with the previous experiments.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"157 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":"114345777","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

Classification of Red Blood Cell Aggregation with Hyper Spectral Analysis of Ultrasonic Radiofrequency Echo Signals 利用超声射频回波信号的高光谱分析对红细胞聚集进行分类

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068545

Zerong Liao, Yufeng Zhang, Keyan Wu, Bingbing He

{"title":"Classification of Red Blood Cell Aggregation with Hyper Spectral Analysis of Ultrasonic Radiofrequency Echo Signals","authors":"Zerong Liao, Yufeng Zhang, Keyan Wu, Bingbing He","doi":"10.1109/ICCSCE47578.2019.9068545","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068545","url":null,"abstract":"In this paper, red blood cell aggregation classification based on hyper spectral analysis of ultrasonic radiofrequency (RF) echo signals is proposed. Firstly, Morlet wavelet is applied to the sub-band decomposition of ultrasonic RF echo signals. Then, five statistical features including mean, variance, median, kurtosis and root mean square of each sub-band are calculated to form the feature vectors. 18 kinds of blood with different red blood cell concentration-aggregation are taken as samples, then multi-frame ultrasonic RF echo signals are collected using ultrasonic linear array probe. The region of interest (ROI) is selected from the B-mode image of a certain frame. 20 subbands are obtained by the hyper spectral analysis of each line of ultrasonic RF echo signals in the ROI. Five statistical features of each sub-band are calculated, and then the feature vectors are obtained after local normalization. Finally, support vector machine (SVM) and random forest classifiers are used to classify the feature vectors respectively. The overall average classification accuracy of SVM is $91.43pm 6.17%$, and the overall average classification accuracy of random forest classifier is 96.19 ± 4.28 %.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"96 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":"133290580","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

Non-Parametric Modeling of Motion Control Systems Using an Hybrid MODE-NARX Algorithm 基于混合MODE-NARX算法的运动控制系统非参数建模

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068546

I. Tijani

{"title":"Non-Parametric Modeling of Motion Control Systems Using an Hybrid MODE-NARX Algorithm","authors":"I. Tijani","doi":"10.1109/ICCSCE47578.2019.9068546","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068546","url":null,"abstract":"In practical motion control systems, high fidelity model of the system is fundamental for design, analysis and implementation of control algorithm. Linear Time Invariant (LTI) model approaches provide simplify approach to classical controller design and simulation. However, such approach usually leads to poor real-time performance on the actual system. On the other hand, obtaining nonlinear parametric model has been an arduous task. This paper presents non-parametric modeling approach using an optimized Nonlinear Autoregressive with eXogenous inputs network (NARX-network) with Multiobjective Differential Evolution (MODE). The hybrid algorithm, MODE-NARX addresses challenges of network parameters determination in the conventional NARX network, while providing optimal performance. A laboratory scale motion control systems is used to evaluate the performance of the algorithm. Based on simulation and comparative results analysis performed the proposed hybrid technique outperformed the common well-known PEM-ARMA model with up to 80% better accuracy, and better generalization performance across varying datasets.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"1 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":"116450019","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

Person Identification from Ear Images Using Convolutional Neural Networks 利用卷积神经网络从耳朵图像中识别人

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068569

Natchapon Petaitiemthong, Potsawat Chuenpet, S. Auephanwiriyakul, N. Theera-Umpon

引用次数: 5

Prospective Control Systems and Cyber-Securities for Electrical Secondary Substations 电力二次变电站的前瞻性控制系统和网络安全

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068547

R. Jidin, M. R. B. Khan, N. Jamil, I. Al-Bahadly

{"title":"Prospective Control Systems and Cyber-Securities for Electrical Secondary Substations","authors":"R. Jidin, M. R. B. Khan, N. Jamil, I. Al-Bahadly","doi":"10.1109/ICCSCE47578.2019.9068547","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068547","url":null,"abstract":"Substantial integration of renewable energy into the existing electricity distribution networks can possibly cause voltage disturbances. Methods to alleviate renewable induced disturbances include installation of control systems with active devices hosted at secondary substations. In addition to renewable, electric vehicle is also anticipated to pose challenges to the operation of distribution networks. Managing scenarios of renewable and electric vehicle energy demand unpredictability and peer-to-peer energy systems necessitate control systems with higher degrees of intelligence. A collection of distributed smart controllers create a group of computations-at-edges, is the likely practical candidate architecture for fast responses, while avoiding single point central failures. Distributed and smarter control systems based on widely available hardware can promote active end user participation in the energy landscape. The control system smartness relies on data sourced from multiple stakeholders including prosumers. Insights and intelligence harvested out of aggregated data increase smartness of system for autonomous operations. Data driven systems must be reliable and protected against cyber-attacks. Scenarios of possible cyberattacks and data securities are described to point out its significance. A mix of cryptographic algorithms evaluated to provide different roles of data protections such as authentication and encryption.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"19 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":"115852829","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 Resolution Enhancement Using Improved Edge Directed Interpolation Algorithm 利用改进的边缘定向插值算法增强图像分辨率

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068535

Md. Shamim Hossain, H. Jalab, Hasan Kahtan, A. Abdullah

{"title":"Image Resolution Enhancement Using Improved Edge Directed Interpolation Algorithm","authors":"Md. Shamim Hossain, H. Jalab, Hasan Kahtan, A. Abdullah","doi":"10.1109/ICCSCE47578.2019.9068535","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068535","url":null,"abstract":"Image resolution enhancement is a process to convert the low-resolution (LR) image into a high-resolution (HR) image. This method is applied in many image processing field. One of the commonly used techniques for image resolution enhancement is interpolation. The results of pixel interpolation can vary significantly depending on the interpolation algorithm. Moreover, the conventional interpolation methods are not efficient to assign accurate interpolation value to the HR edge pixels. Therefore, in this study, we propose an improved edge directed interpolation (EDI) algorithm, which is able to preserve the sharpness of edges. The proposed method is divided into three main steps: edge pixel filtering; bi-cubic interpolation, and EDI. The edge pixels and non-edge pixels are separated by the adaptive edge filtering method. After that bi-cubic interpolation is applied for non-edge pixels. The Lagrange interpolation polynomial is used for bi-cubic interpolation. Finally, an improved EDI is applied to the edge pixels. The proposed method is tested on the several standard grayscale images and compared with the existing methods. According to the evaluation results, the proposed method provides the higher performance of the subjective and objective quality than the standing EDI methods.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"81 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":"123567447","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

Digital Image Slicing and Synthesis using DCT Diagonal Filter Bank 基于DCT对角滤波器组的数字图像切片与合成

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068568

Humera Rafique

{"title":"Digital Image Slicing and Synthesis using DCT Diagonal Filter Bank","authors":"Humera Rafique","doi":"10.1109/ICCSCE47578.2019.9068568","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068568","url":null,"abstract":"According to Fourier theory signals of many type, are decomposable into their frequency components. This work demonstrates the decomposition of a digital image into its frequency spectrum and its synthetization process from its components to its spatial form. For this purpose, the image as a 2D signal will be transformed into its spectrum using Discrete cosine transform (DCT), decomposed into frequency components using automatically generated diagonal filter bank (DFB) and transformed back to its spatial form using inverse DCT. A running sum of spatial components will provide synthesis of image. Compare to other complex frequency processing analysis and synthesis techniques, the procedure is simple and provides best results. The decomposed components can be used effectively for noise removal as well as image compression at very low computational cost. This system is useful to analyze images for variety of applications including electronic signal communication and image processing for data compression, noise removal, and image analysis for pattern recognition. In neuroscience human visual system response is analyzed in response to Fourier sinusoidal gratings.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"55 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114060204","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

Sustainable Water Resource Management Using IOT Solution for Agriculture 利用物联网解决方案进行农业可持续水资源管理

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) Pub Date : 2019-11-01 DOI: 10.1109/ICCSCE47578.2019.9068592

Haikal Hafiz Kadar, Sera Syarmila Sameon, Putri ‘Amirah Abdul Rafee

{"title":"Sustainable Water Resource Management Using IOT Solution for Agriculture","authors":"Haikal Hafiz Kadar, Sera Syarmila Sameon, Putri ‘Amirah Abdul Rafee","doi":"10.1109/ICCSCE47578.2019.9068592","DOIUrl":"https://doi.org/10.1109/ICCSCE47578.2019.9068592","url":null,"abstract":"Internet of Things (IoT) as an emergent technology, are set to progress the agriculture industry. Agriculture, as one of the sector, embracing IoT, to set the changes, deploying IoT for smart farming, creating what is now called as Smart Agriculture. Agriculture is the leading consumer of water around the globe, which sums to up to 70% of the total usage. Thus, making the ultimatum for smart water management as an assurance for water and food security as well as agricultural products. Water resources management includes planning, developing, distributing and managing the optimum use of water resources, which is vital for the proliferation of crop yields despite contributing to water sustainability. This article predominantly periodicals the engagement of a smart water management system prototype, the AGRI2L system, proposed as part of the IoT solution. The system architecture and a detailed description of the physical scenario on how AGRI2L system works for data management as part of IoT platforms. AGRI2L system allows being manageable and interoperable in the specific context of water resource management processes. This prototype aims at proposing a design for an implementation detail of smart water level and leakage monitoring system by engaging the real-time data to facilitate the analyst focuses more on analysis and actions in short period with low cost. Overall, data and IoT-based smart agriculture enable the future of agriculture.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"1 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":"129253611","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