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An EM-MPM algorithmic approach to detect and classify thyroid dysfunction in medical thermal images 医学热图像中甲状腺功能障碍的EM-MPM算法检测与分类
Int. J. Comput. Aided Eng. Technol. Pub Date : 2018-09-05 DOI: 10.1504/IJCAET.2018.10013713
M. P. Gopinath, S. Prabu
{"title":"An EM-MPM algorithmic approach to detect and classify thyroid dysfunction in medical thermal images","authors":"M. P. Gopinath, S. Prabu","doi":"10.1504/IJCAET.2018.10013713","DOIUrl":"https://doi.org/10.1504/IJCAET.2018.10013713","url":null,"abstract":"In this paper, a non-invasive method to diagnose thyroid using thermal imaging process is proposed. Heat distribution in an object is referred as thermography it is utilised in medical analysis as the human body emits certain amount of heat. The proposed technique is based on the following computational methods expectation maximisation - maximise of the posterior marginal algorithm (EM-MPM) for segmenting the thyroid region, grey-level co-occurrence matrix (GLCM) for feature extraction and support vector machine (SVM) for classifying abnormalities. The experiment was carried out of 40 thermal images of which ten were normal and 30 abnormal (hyper and hypo) from real human thyroid region thermal image. The accuracy of proposed system is 97.5% which is significantly good. As a result domain user are able to analyses the prediction given by the proposed system for decision support tool.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125623974","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
Classification of breast abnormality using decision tree based on GLCM features in mammograms 基于乳腺x光片GLCM特征的决策树乳腺异常分类
Int. J. Comput. Aided Eng. Technol. Pub Date : 2018-09-05 DOI: 10.1504/IJCAET.2018.10013711
J. Kamalakannan, M. Babu
{"title":"Classification of breast abnormality using decision tree based on GLCM features in mammograms","authors":"J. Kamalakannan, M. Babu","doi":"10.1504/IJCAET.2018.10013711","DOIUrl":"https://doi.org/10.1504/IJCAET.2018.10013711","url":null,"abstract":"Breast cancer is the second most common cancer among the women and the major victim for the breast cancer is the women. In the USA, one out of eight is diagnosed as breast cancer among the other cancers. Medical images can be analysed for identification. Image pre-processing is an essential procedure used for reducing image noise, highlighting edges, or displaying digital images. Mammogram is the best way for screening the breast. Applying medical image techniques could help in identifying and classifying the abnormalities present in the breast. The features which are extracted from medical images can also be given as input to the classifier for classification. Mammogram has been given as input to the proposed system. Mammograms are pre-processed before given to the classifier. The features are extracted through GLCM and then decision tree classifier is used in this paper for classifying the breast abnormality as benign and malignant.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116423689","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
Radius problem for Pascu type functions with fixed second coefficient 具有固定第二系数的Pascu型函数的半径问题
Int. J. Comput. Aided Eng. Technol. Pub Date : 2018-09-05 DOI: 10.1504/IJCAET.2018.10013719
S. Varma, T. Rosy
{"title":"Radius problem for Pascu type functions with fixed second coefficient","authors":"S. Varma, T. Rosy","doi":"10.1504/IJCAET.2018.10013719","DOIUrl":"https://doi.org/10.1504/IJCAET.2018.10013719","url":null,"abstract":"In this paper, we consider normalised analytic functions defined on the unit disk in the complex plane with fixed second coefficient in its Taylor series. By giving different bounds on coefficients of higher powers in the series, we find the radius of the largest disk inside the unit disk for which these functions belong to Pascu type alpha-convex class and a more generalised class.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"4 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125861196","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
Wear prediction of hard carbon coated hard-on-hard hip implants using finite element method 硬碳涂层硬对硬髋关节植入物磨损的有限元预测
Int. J. Comput. Aided Eng. Technol. Pub Date : 2018-07-03 DOI: 10.1504/IJCAET.2018.10012356
Subramaniam Shankar, R. Siddarth, R. Nithyaprakash, M. Uddin
{"title":"Wear prediction of hard carbon coated hard-on-hard hip implants using finite element method","authors":"Subramaniam Shankar, R. Siddarth, R. Nithyaprakash, M. Uddin","doi":"10.1504/IJCAET.2018.10012356","DOIUrl":"https://doi.org/10.1504/IJCAET.2018.10012356","url":null,"abstract":"This paper presents finite element (FE) analysis of the effects of hard carbon coatings on wear evolution of hard-on-hard hip implants. Three different types of thin film hard carbon coatings on the articulating surfaces of the bearing components (e.g., on both head and cup) are considered and they are nanocrystalline diamond (NCD), diamond-like carbon (DLC) and polycrystalline diamond (PCD). By considering the 3D angular rotation as well as gait loading for a normal walking cycle, linear and volumetric wears are computed for 20 million cycles. The FE wear model results were validated with experimental hip simulator study available in the literature. FE simulation results showed that as wear progresses, contact stress at the interface between the head and cup decreases with the increase of gait cycles. Wear modelling indicated that PCD coated bearing couple had the least wear evolution as compared to NCD and DLC coated couples.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115355741","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
sFlow monitoring system in a disaster-resilient global SDN testbed based on KOREN/APII/TEIN network 基于KOREN/APII/TEIN网络的全球SDN容灾试验台sFlow监控系统
Int. J. Comput. Aided Eng. Technol. Pub Date : 2018-07-03 DOI: 10.1504/IJCAET.2018.10002607
Muhammad Afaq, Wang-Cheol Song, Seung-Joon Seok, M. G. Kang
{"title":"sFlow monitoring system in a disaster-resilient global SDN testbed based on KOREN/APII/TEIN network","authors":"Muhammad Afaq, Wang-Cheol Song, Seung-Joon Seok, M. G. Kang","doi":"10.1504/IJCAET.2018.10002607","DOIUrl":"https://doi.org/10.1504/IJCAET.2018.10002607","url":null,"abstract":"This paper provides insights into the traffic flow monitoring system of a disaster-resilient SDN testbed which is based on Korea Advanced Research Network (KOREN)/Asia Pacific Information Infrastructure (APII)/Trans-Eurasia Information Network (TEIN) network. This testbed consists of research and education networks of several countries including South Korea, Japan, and the USA. Since, it is a large multi-tenant testbed, it is not possible for the traditional traffic monitoring solutions to provide network-wide visibility. Therefore, we have implemented a new sFlow-based monitoring system that is not only tailored to the requirements of this testbed, but can also provide real-time network-wide visibility. It is carried out by deploying open-source host sFlow agents with a graphite collector which offers a complete, highly scalable monitoring solution. It periodically fetches and other statistics from sFlow agents, and stores them in time-series format. These statistics are then exported to the disaster management server where they are used for further analysis.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122579193","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
A novel performance aware real-time data handling for big data platforms on Lambda architecture 基于Lambda架构的大数据平台实时数据处理方法
Int. J. Comput. Aided Eng. Technol. Pub Date : 2018-07-03 DOI: 10.1504/IJCAET.2018.10012354
Rizwan Patan, M. Babu
{"title":"A novel performance aware real-time data handling for big data platforms on Lambda architecture","authors":"Rizwan Patan, M. Babu","doi":"10.1504/IJCAET.2018.10012354","DOIUrl":"https://doi.org/10.1504/IJCAET.2018.10012354","url":null,"abstract":"Big data is becoming a popular technology for analytics. But, its techniques and tools are very limited to solve the energy aware real time data handling problems. The real time data handling can be in one of the two computing areas: 1) batch computing; 2) stream computing. Stream computing environment uses round robin algorithm as default scheduling strategy whereas batch process uses distributed scheduling for allocation of its resources. But these computing are not considered proper energy aware distributed scheduling policies for allocation of its resources. This paper presents development of management policies that reduces the energy for the allocation of resources. The big data fusion has been used to improve the efficiency for handing different data types: Batch data, online data, and real-time data. A hybrid computational model has been applied to improve the performance further through Lambda architecture. Finally, experimental results have shown 20% performance improvement.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132405224","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
Towards a new supporting platform for collaboration in industrial diagnosis within an agent-based WEB DSS 在基于代理的WEB决策支持系统中实现工业诊断协作的新支持平台
Int. J. Comput. Aided Eng. Technol. Pub Date : 2018-07-03 DOI: 10.1504/IJCAET.2020.10010835
Imène Bessedik, N. Taghezout
{"title":"Towards a new supporting platform for collaboration in industrial diagnosis within an agent-based WEB DSS","authors":"Imène Bessedik, N. Taghezout","doi":"10.1504/IJCAET.2020.10010835","DOIUrl":"https://doi.org/10.1504/IJCAET.2020.10010835","url":null,"abstract":"The main objective of this study is to provide a professional social network which is integrated within an agent-based WEB DSS. This DSS network will facilitate interaction, discussion, and the sharing of information among production operators, especially to deal with nominal situations of resource faults. The coordination among the agents in our approach is made possible by a dynamic agent coordination protocol. The general architecture is based on agents named: production agent (PA), ontology agent (OA), evaluator agent (EA), and coordinator agent (COA). The coordination protocol that is applied comprised a set of behaviours used to maintain and control the messages exchanges among the agents. Learning features enable these agents to gain more time in calculation and executions. As a representation of the agent's common knowledge, domain ontology has been developed to represent major generic concepts in the industrial domain. Analytical hierarchy process (AHP) methodology is applied to evaluate sorting solutions in respect of human participants' preferences. In this study, we choose as a field of application: ALFATRON electronics industry.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128523602","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
An optimal path selection in a clustered wireless sensor network environment with swarm intelligence-based data aggregation for air pollution monitoring system 基于群智能的空气污染监测系统无线传感器网络环境下的最优路径选择
Int. J. Comput. Aided Eng. Technol. Pub Date : 2018-07-03 DOI: 10.1504/IJCAET.2018.10012349
M. Subramanian, N. Jaisankar
{"title":"An optimal path selection in a clustered wireless sensor network environment with swarm intelligence-based data aggregation for air pollution monitoring system","authors":"M. Subramanian, N. Jaisankar","doi":"10.1504/IJCAET.2018.10012349","DOIUrl":"https://doi.org/10.1504/IJCAET.2018.10012349","url":null,"abstract":"Air pollution obtains a key concern in India owing to faster economic development, urbanisation and industrialisation connected with increased energy demands. But these methods are expensive and provide low resolution sensing data. Also the monitoring system has high communication overhead, power consuming and time. To solve the above problem a clustered wireless sensor network-based air pollution monitoring system with swarm intelligence is discussed. Initially, the sensor nodes in the networks are grouped into clusters and the cluster head is selected using the glowworm swarm optimisation (GSO) algorithm and Cuckoo search algorithm (CSA). Then the air quality index (AQI)-based fuzzy rule is formed using fuzzy inference system (FIS). Then the data aggregation is using the improved artificial fish swarm algorithm (IAFSA) and hybrid bat algorithm (HBA) to find the optimal path for efficient data transmission by reducing the communication overhead. The bat fitness function is calculated using differential evolution (DE). The result shows that the proposed method is improved than the obtainable one in stipulations of network energy utilisation, delay and throughput and aggregation latency.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"436 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124251961","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
Noise removal using statistical operators for efficient leaf identification 利用统计算子去除噪声，实现有效的叶片识别
Int. J. Comput. Aided Eng. Technol. Pub Date : 2018-07-03 DOI: 10.1504/IJCAET.2018.10012351
Muhammad Ghali Aliyu, M. F. A. Kadir, A. R. Mamat, M. Mohamad
{"title":"Noise removal using statistical operators for efficient leaf identification","authors":"Muhammad Ghali Aliyu, M. F. A. Kadir, A. R. Mamat, M. Mohamad","doi":"10.1504/IJCAET.2018.10012351","DOIUrl":"https://doi.org/10.1504/IJCAET.2018.10012351","url":null,"abstract":"Plant identification based on leaf shape is becoming a popular trend, since each leaf carries substantial information that can be used to identify plant. This is difficult because the features of a leaf shape can be influenced by other leaves that have similar features but different categories. This paper presents the most popular statistical operators: mean filtering technique (MFT), median filtering technique (MDFT), Wiener filtering technique (WFT), rank order filtering technique (ROFT) and adaptive two-pass rank order filtering technique (ATRFT) for enhancing preprocessing stage. The performance of these techniques was evaluated using mean square error (MSE) and peak signal to noise ratio (PSNR). Ten features were extracted from the pre-processed leaf images and identification performance was also evaluated using precision and recall. It is found that WFT is the best filtering technique and gives the best identification accuracy of 95.1%.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125970292","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
MMQuiz: multi modal human computer interaction-based online assessment system MMQuiz:基于多模态人机交互的在线测评系统
Int. J. Comput. Aided Eng. Technol. Pub Date : 2018-07-03 DOI: 10.1504/IJCAET.2018.10012353
S. Vairamuthu, S. Anouncia
{"title":"MMQuiz: multi modal human computer interaction-based online assessment system","authors":"S. Vairamuthu, S. Anouncia","doi":"10.1504/IJCAET.2018.10012353","DOIUrl":"https://doi.org/10.1504/IJCAET.2018.10012353","url":null,"abstract":"Ever changing computing techniques and novel innovations in the education system plays a major role for the way any institutions prefer to adopt now-a-days. All the varsities and institutions started transferring their mode of education from traditional class room-based to internet-based online. Part of these processes, the way how students can be assessed online also plays a major role. In this work, a framework has been proposed which was implemented so as to enable the physically challenged students to efficiently utilise to complete their online-based assessments. Though many voice-based browsers existed, they were all far from reality. Several frameworks were designed for specified objectives like interactive assessment whilst they supported generic features like browsing and mailing. Any individual who may be able to communicate via speech may utilise our proposed framework. The same framework could be employed in any varsities or institutions to conduct their speech-based assessments online.","PeriodicalId":346646,"journal":{"name":"Int. J. Comput. Aided Eng. Technol.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114986932","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
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