Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7808167
V. Kumar, A. Jayanthy
Osteoarthritis (OA)is a degenerative joint disease which is most prevalent in the knee joint. It can be characterized by the gradual loss of articular cartilage. The knee OA-affected bones slide together due to degradation of cartilage, causing joint pain, swelling, stiffness and eventual loss of motion. Magnetic resonance imaging (MRI) is the most suitable non-invasive imaging modality to detect damages in cartilage, ligament and tendon which cannot be visualized using an x-ray. In the proposed work, the cartilage is segmented using pixel-based segmentation technique. Image processing techniques such as contrast enhancement, histogram equalization, thresholding and canny edge detection are implemented using MATLAB R2013a (8.1) software on the MR images in 2D coronal view. Then a rough mask is created which undergoes morphological operations and the background noise is reduced. The segmented image undergoes GLCM feature extraction process. The texture features are calculated from the segmented image. The extracted GLCM features are given to the SVM classifier for classifying the image as normal and OA-affected. The accuracy was found to be 86.66% for the classification of the subject into normal and OA-affected. Articular cartilage thickness is measured using Euclidean distance formula and compared with the standard values for early detection of knee Osteoarthritis.
{"title":"Classification of MRI images in 2D coronal view and measurement of articular cartilage thickness for early detection of knee osteoarthritis","authors":"V. Kumar, A. Jayanthy","doi":"10.1109/RTEICT.2016.7808167","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7808167","url":null,"abstract":"Osteoarthritis (OA)is a degenerative joint disease which is most prevalent in the knee joint. It can be characterized by the gradual loss of articular cartilage. The knee OA-affected bones slide together due to degradation of cartilage, causing joint pain, swelling, stiffness and eventual loss of motion. Magnetic resonance imaging (MRI) is the most suitable non-invasive imaging modality to detect damages in cartilage, ligament and tendon which cannot be visualized using an x-ray. In the proposed work, the cartilage is segmented using pixel-based segmentation technique. Image processing techniques such as contrast enhancement, histogram equalization, thresholding and canny edge detection are implemented using MATLAB R2013a (8.1) software on the MR images in 2D coronal view. Then a rough mask is created which undergoes morphological operations and the background noise is reduced. The segmented image undergoes GLCM feature extraction process. The texture features are calculated from the segmented image. The extracted GLCM features are given to the SVM classifier for classifying the image as normal and OA-affected. The accuracy was found to be 86.66% for the classification of the subject into normal and OA-affected. Articular cartilage thickness is measured using Euclidean distance formula and compared with the standard values for early detection of knee Osteoarthritis.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"317 1","pages":"1907-1911"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77258760","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}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807775
Kanu Goel, Manu Goel
In recent times the role of information technology in the business enterprises has emerged with new levels of services, storage requirements, resource management and availability. As the amount of data that is available now a days is too huge for a single organization to control and manage so here putting the data on cloud can act as a savior. In this paper the advantages, various service and deployment models of cloud are discussed. Also the paper throws light on the reason behind the rise of cloud technologies majorly in the past decade. The paper puts forward the idea that cloud computing and data mining have a great perspective in the field of e-commerce. Also proposed is the integration model of e-commerce with cloud computing that focuses on the reduction of data redundancy and the efforts to synchronize it between the e-commerce vendors.
{"title":"Cloud computing based e-commerce model","authors":"Kanu Goel, Manu Goel","doi":"10.1109/RTEICT.2016.7807775","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807775","url":null,"abstract":"In recent times the role of information technology in the business enterprises has emerged with new levels of services, storage requirements, resource management and availability. As the amount of data that is available now a days is too huge for a single organization to control and manage so here putting the data on cloud can act as a savior. In this paper the advantages, various service and deployment models of cloud are discussed. Also the paper throws light on the reason behind the rise of cloud technologies majorly in the past decade. The paper puts forward the idea that cloud computing and data mining have a great perspective in the field of e-commerce. Also proposed is the integration model of e-commerce with cloud computing that focuses on the reduction of data redundancy and the efforts to synchronize it between the e-commerce vendors.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"242 1","pages":"27-30"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85157041","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}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7808031
Mohsin B. Tamboli, Dayanand Dambawade
Internet of Things (IoT) is growing as an attractive system paradigm. There is a lot of hype around the internet of things (IoT) and it continues to evolve as we move beyond humans talking to machines. IoT has interconnections through the physical, cyber and social spaces. Things used in IoT are sensors and actuators, mechanical devices and networking includes gateways, wireless infrastructure. Most of devices among them are resource constrained. During the interaction between devices, IoT gets suffered from severe security challenges. Complicated network produces potential vulnerabilities referred to heterogeneous devices, sensors and backend systems. So to realize the dream of internet of things secured device to device communication is expected. Security of resource constrained networks becomes prime important. Many existing mechanisms gives security and protection to networks and systems but they are unable to give fine grain access control. In this work, we focused on CoAP based framework to give service level access control on resource constrained devices. It gives fine grain access control on a per service basis. ECDSA is used to improve privacy of the system. Performance of CoAP based framework is compared and analyzed with existing security solutions. Test results are presented which shows that communication overhead and authentication delay are less than the existing system. Hence security performance of system gets improved. The goal is to present comprehensive security framework for low power networks consist of resource constrained devices.
{"title":"Secure and efficient CoAP based authentication and access control for Internet of Things (IoT)","authors":"Mohsin B. Tamboli, Dayanand Dambawade","doi":"10.1109/RTEICT.2016.7808031","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7808031","url":null,"abstract":"Internet of Things (IoT) is growing as an attractive system paradigm. There is a lot of hype around the internet of things (IoT) and it continues to evolve as we move beyond humans talking to machines. IoT has interconnections through the physical, cyber and social spaces. Things used in IoT are sensors and actuators, mechanical devices and networking includes gateways, wireless infrastructure. Most of devices among them are resource constrained. During the interaction between devices, IoT gets suffered from severe security challenges. Complicated network produces potential vulnerabilities referred to heterogeneous devices, sensors and backend systems. So to realize the dream of internet of things secured device to device communication is expected. Security of resource constrained networks becomes prime important. Many existing mechanisms gives security and protection to networks and systems but they are unable to give fine grain access control. In this work, we focused on CoAP based framework to give service level access control on resource constrained devices. It gives fine grain access control on a per service basis. ECDSA is used to improve privacy of the system. Performance of CoAP based framework is compared and analyzed with existing security solutions. Test results are presented which shows that communication overhead and authentication delay are less than the existing system. Hence security performance of system gets improved. The goal is to present comprehensive security framework for low power networks consist of resource constrained devices.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"119 1","pages":"1245-1250"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86800710","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}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807907
R. S. Beeresha, A. Khan, H. Reddy
The multilayer circuits are suffers from passive components effect to transit high frequency signal. The passive components are capacitive and inductive reactance of the planar integrated circuit. The part of overall circuit efficiency depending on passivity of the components, interconnections and its geometrical structure, which is helps to build low loss multilayer integrated circuits (MIC). The aim of this paper is to design coplanar wave guide (CPW) to microstrip line transition structure with 1GHz to 75GHz operating frequency band. The linear tapered transition method is used and inspected with four different CPW ground plane structures are conventional, stepped edge, sharp edge and linear curvature edge. The linear curvature edged CPW ground plane structure gives better transition efficiency, operating frequency band and lower insertion loss compare to conventional, stepped edge and sharp edge structures. The designed structures are electromagnetic simulated using NI/AWR tool. The CPW to microstrip line structure is compact in size and widely used for RF/Microwave circuit component development.
{"title":"CPW to microstrip transition using different CPW ground plane structures","authors":"R. S. Beeresha, A. Khan, H. Reddy","doi":"10.1109/RTEICT.2016.7807907","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807907","url":null,"abstract":"The multilayer circuits are suffers from passive components effect to transit high frequency signal. The passive components are capacitive and inductive reactance of the planar integrated circuit. The part of overall circuit efficiency depending on passivity of the components, interconnections and its geometrical structure, which is helps to build low loss multilayer integrated circuits (MIC). The aim of this paper is to design coplanar wave guide (CPW) to microstrip line transition structure with 1GHz to 75GHz operating frequency band. The linear tapered transition method is used and inspected with four different CPW ground plane structures are conventional, stepped edge, sharp edge and linear curvature edge. The linear curvature edged CPW ground plane structure gives better transition efficiency, operating frequency band and lower insertion loss compare to conventional, stepped edge and sharp edge structures. The designed structures are electromagnetic simulated using NI/AWR tool. The CPW to microstrip line structure is compact in size and widely used for RF/Microwave circuit component development.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"95 9 1","pages":"667-671"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89015263","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}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807903
Mangesh M. Daundkar, Bhairavi N. Savant
Despite of all known hazards of plastic pollution, it's prevalent and pervasive in India. Polythene bags are major contributors to it. Polythene bag production is easier and cost effective as compared to its eco-friendly alternatives. Paper bag is closest economical alternative to the polythene bag. In this paper, we try to address the several issues that makes paper bag production economically incompetent with polythene bags. We propose a flexible assembly line controlled by a microcontroller to automate paper bag production. The system is capable of handling different sizes and textures of the paper. It has provision to control the speed of production and monitor the quality of the output. We have used commodity hardware × microcontrollers and DC motors unlike previous attempts using PLCs, servo motors. The reliability and fault tolerance is achieved through software rather than using expensive hardware. The system autocorrects itself based on the paper quality feedback recorded automatically or manually. We believe the system can play an important role in making paper bag production costs comparable to polythene bags.
{"title":"Low cost automation solution for paper bag production using commodity hardware","authors":"Mangesh M. Daundkar, Bhairavi N. Savant","doi":"10.1109/RTEICT.2016.7807903","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807903","url":null,"abstract":"Despite of all known hazards of plastic pollution, it's prevalent and pervasive in India. Polythene bags are major contributors to it. Polythene bag production is easier and cost effective as compared to its eco-friendly alternatives. Paper bag is closest economical alternative to the polythene bag. In this paper, we try to address the several issues that makes paper bag production economically incompetent with polythene bags. We propose a flexible assembly line controlled by a microcontroller to automate paper bag production. The system is capable of handling different sizes and textures of the paper. It has provision to control the speed of production and monitor the quality of the output. We have used commodity hardware × microcontrollers and DC motors unlike previous attempts using PLCs, servo motors. The reliability and fault tolerance is achieved through software rather than using expensive hardware. The system autocorrects itself based on the paper quality feedback recorded automatically or manually. We believe the system can play an important role in making paper bag production costs comparable to polythene bags.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"4 1","pages":"649-652"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75588334","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}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7808124
K. Shanmugasundaram, S. Sharma, Sathees Kumar Ramasamy
Even though there has been enormous research in facial analysis and more sophisticated algorithm, face recognition fails drastically in real time when the facial images are occluded. This paper explains the algorithm and technical concepts behind the high accurate face recognition systems for a 2D frontal images with occlusion for a business requirments. Face recognition is implemented using Convolutional Neural Network (CNN) for training the occlusion images where the features are extracted by using Constrained Local Neural Field (CLNF). The work has done the real time uncontrolled occlusion dataset and recognized the face with the accuracy of 98.5% for the FAR of 0.
{"title":"Face recognition with CLNF for uncontrolled occlusion faces","authors":"K. Shanmugasundaram, S. Sharma, Sathees Kumar Ramasamy","doi":"10.1109/RTEICT.2016.7808124","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7808124","url":null,"abstract":"Even though there has been enormous research in facial analysis and more sophisticated algorithm, face recognition fails drastically in real time when the facial images are occluded. This paper explains the algorithm and technical concepts behind the high accurate face recognition systems for a 2D frontal images with occlusion for a business requirments. Face recognition is implemented using Convolutional Neural Network (CNN) for training the occlusion images where the features are extracted by using Constrained Local Neural Field (CLNF). The work has done the real time uncontrolled occlusion dataset and recognized the face with the accuracy of 98.5% for the FAR of 0.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"171 1","pages":"1704-1708"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72927147","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}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807856
Atanu Dey, S. Bhattacharjee, D. Samanta
Brain computer interface (BCI) is one of the recent trends for the development of electroencephalogram (EEG) signal based, a human controlling device for a motor disable person. This paper aims to detect the left and right hand movement of motor disable person using EEG signals with the usage of Independent component analysis (ICA) technique and support vector machine (SVM) classifier. For signal classification, the amalgamations of the frequency domain and time domain features are used. The proposed system obtains an accuracy of 83% to 90% by using the standard publicly available EEG database, where some existing methods are implemented on the same datasets to detect same, there are obtaining less than 80% accuracy.
{"title":"Recognition of motor imagery left and right hand movement using EEG","authors":"Atanu Dey, S. Bhattacharjee, D. Samanta","doi":"10.1109/RTEICT.2016.7807856","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807856","url":null,"abstract":"Brain computer interface (BCI) is one of the recent trends for the development of electroencephalogram (EEG) signal based, a human controlling device for a motor disable person. This paper aims to detect the left and right hand movement of motor disable person using EEG signals with the usage of Independent component analysis (ICA) technique and support vector machine (SVM) classifier. For signal classification, the amalgamations of the frequency domain and time domain features are used. The proposed system obtains an accuracy of 83% to 90% by using the standard publicly available EEG database, where some existing methods are implemented on the same datasets to detect same, there are obtaining less than 80% accuracy.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"8 1","pages":"426-430"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91112069","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}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7808058
Sanket Bhagat, S. Nalbalwar
Tool Condition Monitoring is very fundamental part of the Manufacturing industry similar to the automation and hence has a great importance in research based on manufacturing engineering. Many of the people those concern with the manufacturing industries are interestedly study the TCM as successful unmanned automation in production is only possible if there is presence of good tool wear monitor and tool breakage detection system. So that reliability of the production system can be increased significantly. The tool wear can also affect the quality of surface finish of work piece and dimension of the manufactured parts which further decides the quality of final product. This need has raised quite a large interest among researchers and frequent users and learners. Tool Condition is done by employing various methods but all are not able to give successful result due to complexity in parameter variation in the machining process. Only few of them are globally accepted, studied and used worldwide. This paper concerns about some useful and efficient methods of TCM (Tool Condition Monitoring). An integrated approach of tool condition monitoring and control together with the data acquisition of different parameters is proposed. And to inspect tool wear condition different sensors are used for signal measurement.
{"title":"LabVIEW based tool condition monitoring and control for CNC lathe based on parameter analysis","authors":"Sanket Bhagat, S. Nalbalwar","doi":"10.1109/RTEICT.2016.7808058","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7808058","url":null,"abstract":"Tool Condition Monitoring is very fundamental part of the Manufacturing industry similar to the automation and hence has a great importance in research based on manufacturing engineering. Many of the people those concern with the manufacturing industries are interestedly study the TCM as successful unmanned automation in production is only possible if there is presence of good tool wear monitor and tool breakage detection system. So that reliability of the production system can be increased significantly. The tool wear can also affect the quality of surface finish of work piece and dimension of the manufactured parts which further decides the quality of final product. This need has raised quite a large interest among researchers and frequent users and learners. Tool Condition is done by employing various methods but all are not able to give successful result due to complexity in parameter variation in the machining process. Only few of them are globally accepted, studied and used worldwide. This paper concerns about some useful and efficient methods of TCM (Tool Condition Monitoring). An integrated approach of tool condition monitoring and control together with the data acquisition of different parameters is proposed. And to inspect tool wear condition different sensors are used for signal measurement.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"41 1","pages":"1386-1388"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78093240","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}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807770
Usha Desai, G. Nayak, G. Seshikala
Electrocardiogram (ECG) is the most reliable and low-cost diagnostic tool to evaluate the patients with cardiac arrhythmias. Manual diagnosis of arrhythmia beats is very tedious due to the nonlinear and complex nature of ECG. The current paper, describes pattern recognition and machine learning-based approach for computer-aided detection of five classes of ECG arrhythmia beats using Discrete Cosine Transform (DCT) coefficients. Further, methodology comprises dimensionality reduction using Independent Component Analysis (ICA), ten-fold cross-validation and diagnosis using Support Vector Machine (SVM) quadratic kernel function. Using ANOVA clinically (p<;0.05) and statistically (F-value) significant features are selected and reliability of accuracy is measured by Cohen's kappa (κ) statistic. Large database of 110,093 heartbeats from 48 records of MIT-BIH Arrhythmia Database recommended by ANSI/AAMI EC57:1998, which are grouped into five classes of arrhythmia beats viz. Non-ectopic (N), Ventricular ectopic (V), Supraventricular ectopic (S), Fusion (F) and Unknown (U) are classified with class-specific accuracy of 98.75%, 89.38%, 82.2% 47.04% and 90.57%, respectively and an overall accuracy of 95.98% The developed methodology is an efficient tool, which has intensive applications in early diagnosis, mass screening of cardiac health and in cardiac theoretic devices such as pacemaker systems.
{"title":"An efficient technique for automated diagnosis of cardiac rhythms using electrocardiogram","authors":"Usha Desai, G. Nayak, G. Seshikala","doi":"10.1109/RTEICT.2016.7807770","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807770","url":null,"abstract":"Electrocardiogram (ECG) is the most reliable and low-cost diagnostic tool to evaluate the patients with cardiac arrhythmias. Manual diagnosis of arrhythmia beats is very tedious due to the nonlinear and complex nature of ECG. The current paper, describes pattern recognition and machine learning-based approach for computer-aided detection of five classes of ECG arrhythmia beats using Discrete Cosine Transform (DCT) coefficients. Further, methodology comprises dimensionality reduction using Independent Component Analysis (ICA), ten-fold cross-validation and diagnosis using Support Vector Machine (SVM) quadratic kernel function. Using ANOVA clinically (p<;0.05) and statistically (F-value) significant features are selected and reliability of accuracy is measured by Cohen's kappa (κ) statistic. Large database of 110,093 heartbeats from 48 records of MIT-BIH Arrhythmia Database recommended by ANSI/AAMI EC57:1998, which are grouped into five classes of arrhythmia beats viz. Non-ectopic (N), Ventricular ectopic (V), Supraventricular ectopic (S), Fusion (F) and Unknown (U) are classified with class-specific accuracy of 98.75%, 89.38%, 82.2% 47.04% and 90.57%, respectively and an overall accuracy of 95.98% The developed methodology is an efficient tool, which has intensive applications in early diagnosis, mass screening of cardiac health and in cardiac theoretic devices such as pacemaker systems.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"40 1","pages":"5-8"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81139401","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}
Pub Date : 2016-05-20DOI: 10.1109/RTEICT.2016.7807929
P. Karthik, K. Suresh
FPGA Ethernet IP cores are widely used in the all Aerospace and defense communication systems. If the IP core fails to function as designed then whole communication process may fail. So it is important to verify this complex FPGA Ethernet IP core effectively. This paper aims in development of real-time verification environment for the FPGA Ethernet IP core using Formal Methods based approach. Under formal methods the Assertion-based verification (ABV) is one of the effective techniques for verification of IP cores and its interfaces. PSL (Property Specification Language) is an assertion language where it is used to verify the systems developed using Hardware Descriptive Language (HDL). PSL captures the requirement specifications and verify the functional and behavioral properties of Ethernet IP core in the early phase of the systems engineering lifecycle. The Xilinx 10G Ethernet Mac IP core is used to demonstrate the effectiveness of the PSL for functional verification of the IP core.
{"title":"Devise and establishment of property specification language to verify the complex behaviour of FPGA Ethernet IP core","authors":"P. Karthik, K. Suresh","doi":"10.1109/RTEICT.2016.7807929","DOIUrl":"https://doi.org/10.1109/RTEICT.2016.7807929","url":null,"abstract":"FPGA Ethernet IP cores are widely used in the all Aerospace and defense communication systems. If the IP core fails to function as designed then whole communication process may fail. So it is important to verify this complex FPGA Ethernet IP core effectively. This paper aims in development of real-time verification environment for the FPGA Ethernet IP core using Formal Methods based approach. Under formal methods the Assertion-based verification (ABV) is one of the effective techniques for verification of IP cores and its interfaces. PSL (Property Specification Language) is an assertion language where it is used to verify the systems developed using Hardware Descriptive Language (HDL). PSL captures the requirement specifications and verify the functional and behavioral properties of Ethernet IP core in the early phase of the systems engineering lifecycle. The Xilinx 10G Ethernet Mac IP core is used to demonstrate the effectiveness of the PSL for functional verification of the IP core.","PeriodicalId":6527,"journal":{"name":"2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)","volume":"55 1","pages":"763-768"},"PeriodicalIF":0.0,"publicationDate":"2016-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89104560","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}
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