Pub Date : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318730
Atharva Ajgaonkar, Shriniket Vichare, R. Badgujar, Manisha Bansode, D. Karia, A. Bambole
In recent years, with the widespread construction, the number of incidences of structural damages and accidents has increased. This has led to fatal casualties and property loss. The most important reason for most of the structural damages and accidents occurring is lack of effective monitoring. The main aim of Structural Health monitoring is to monitor different civil structures like buildings, stadiums and try to improve the health of the structure which in turn will help to improve the lifespan of the civil structures and can also help to maintain the safety of Public [5]. The process of SHM includes detecting and analyzing the damages or weakness that the structure has, due to old age or any other reason and take preventive measure to avoid any fatal consequences [3]. Structural Monitoring is also important helpful for reducing over finance, as we don't always have to take big steps of demolition and rebuilding as sometimes simple repairs can do great effects. The necessity of bridge health monitoring has been drawn more and more attention. This paper introduces a remote bridge health monitoring system. Undergoing regular maintenance procedure on civil structures can help to increase the life span of the structure [7]
{"title":"Remote Structural Health Monitoring","authors":"Atharva Ajgaonkar, Shriniket Vichare, R. Badgujar, Manisha Bansode, D. Karia, A. Bambole","doi":"10.1109/ICCDW45521.2020.9318730","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318730","url":null,"abstract":"In recent years, with the widespread construction, the number of incidences of structural damages and accidents has increased. This has led to fatal casualties and property loss. The most important reason for most of the structural damages and accidents occurring is lack of effective monitoring. The main aim of Structural Health monitoring is to monitor different civil structures like buildings, stadiums and try to improve the health of the structure which in turn will help to improve the lifespan of the civil structures and can also help to maintain the safety of Public [5]. The process of SHM includes detecting and analyzing the damages or weakness that the structure has, due to old age or any other reason and take preventive measure to avoid any fatal consequences [3]. Structural Monitoring is also important helpful for reducing over finance, as we don't always have to take big steps of demolition and rebuilding as sometimes simple repairs can do great effects. The necessity of bridge health monitoring has been drawn more and more attention. This paper introduces a remote bridge health monitoring system. Undergoing regular maintenance procedure on civil structures can help to increase the life span of the structure [7]","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116021765","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318632
Anisha Poojary, Avinash Chourasiya, Karan Jha, S. Ranbhise
Biometric authentication is a method of identifying individuals for security purpose based on the distinctive physiological characteristics of a person for verification and authentication. The use of biometrics provides a more definitive security layer in identification authentication of users in many fields. Biometric authentications can be implemented using finger print, iris, skin and voice and so on. Vein pattern is an extensive group of blood vessels underneath an individual's skin. These vein patterns are considered to be distinct and special to each individual and they are invariant in proportion. Taking in considerations the drawbacks of other biometric recognition methods, hand vein biometric is selected, as it is efficacious, guaranteed, secure and highly reliable for identification, authentication of individuals. So as to enable biometric authentication, cost effective scanning devices are brought into use. The device includes the use of No IR camera which is used for acquisition of vein image and a matrix of NIR LEDs which is helps to capture only the veins in the camera. The system is designed using Raspberry Pi at its heart and also makes use of Open CV, a library in Python which is used for image processing.
{"title":"Biometric Authentication System Using Dorsal Hand Vein Pattern","authors":"Anisha Poojary, Avinash Chourasiya, Karan Jha, S. Ranbhise","doi":"10.1109/ICCDW45521.2020.9318632","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318632","url":null,"abstract":"Biometric authentication is a method of identifying individuals for security purpose based on the distinctive physiological characteristics of a person for verification and authentication. The use of biometrics provides a more definitive security layer in identification authentication of users in many fields. Biometric authentications can be implemented using finger print, iris, skin and voice and so on. Vein pattern is an extensive group of blood vessels underneath an individual's skin. These vein patterns are considered to be distinct and special to each individual and they are invariant in proportion. Taking in considerations the drawbacks of other biometric recognition methods, hand vein biometric is selected, as it is efficacious, guaranteed, secure and highly reliable for identification, authentication of individuals. So as to enable biometric authentication, cost effective scanning devices are brought into use. The device includes the use of No IR camera which is used for acquisition of vein image and a matrix of NIR LEDs which is helps to capture only the veins in the camera. The system is designed using Raspberry Pi at its heart and also makes use of Open CV, a library in Python which is used for image processing.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116032298","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318715
G. Sawant, V. Bharadi
Smart contracts are the triggered self executing contracts which are termed and conditioned among the trusted parties. Being independent of trusted third party, smart contract rely on blockchain and the underlying consensus submitted by participants for the security. Hyper ledger fabric provides peer-to-peer-network based distributed operating environment. This scenario highlights the need of identification of peer, more precisely on the ‘who the user is’ rather than ‘what does the user possess’. This paper proposes an architecture of the integration of multimodal biometric authentication system incorporation with the permissioned blockchain based smart contract. Every peer has to be authenticated before getting involved in smart contract. Paper also informs about the surveyed ways of multimodal recognition which ensures the major concern of various applications like insurance settlement, market predictions and internet on things, etc. i.e. liveliness detection.
{"title":"Permission Blockchain based Smart Contract Utilizing Biometric Authentication as a Service: A Future Trend","authors":"G. Sawant, V. Bharadi","doi":"10.1109/ICCDW45521.2020.9318715","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318715","url":null,"abstract":"Smart contracts are the triggered self executing contracts which are termed and conditioned among the trusted parties. Being independent of trusted third party, smart contract rely on blockchain and the underlying consensus submitted by participants for the security. Hyper ledger fabric provides peer-to-peer-network based distributed operating environment. This scenario highlights the need of identification of peer, more precisely on the ‘who the user is’ rather than ‘what does the user possess’. This paper proposes an architecture of the integration of multimodal biometric authentication system incorporation with the permissioned blockchain based smart contract. Every peer has to be authenticated before getting involved in smart contract. Paper also informs about the surveyed ways of multimodal recognition which ensures the major concern of various applications like insurance settlement, market predictions and internet on things, etc. i.e. liveliness detection.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116308486","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}
The proposed design is of 5G Micro-Strip Patch Antennas with Defected Ground Structure on ground slots. Slots or defects merge on the ground plane of microwave planar circuits are defined as Defected Ground Structure. DGS is a very effective Partial Defected Ground Structure is used to improve all the antenna parameters and performance. DGS used to achieve high gain higher bandwidth. The proposed paper introduced the defective ground structure with a v slot in the partial ground. This will improve the parameter like return loss, bandwidth, VSWR, efficiency, and compactness of the antenna.
{"title":"Design a Microstrip Patch 5G Antenna with Modified Defective Ground Structure","authors":"Minal Fegade, N. Agrawal, Harsha Prabha Paliwal, Ashutosh Kumar Singh, Suriti Gupta","doi":"10.1109/ICCDW45521.2020.9318605","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318605","url":null,"abstract":"The proposed design is of 5G Micro-Strip Patch Antennas with Defected Ground Structure on ground slots. Slots or defects merge on the ground plane of microwave planar circuits are defined as Defected Ground Structure. DGS is a very effective Partial Defected Ground Structure is used to improve all the antenna parameters and performance. DGS used to achieve high gain higher bandwidth. The proposed paper introduced the defective ground structure with a v slot in the partial ground. This will improve the parameter like return loss, bandwidth, VSWR, efficiency, and compactness of the antenna.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131306734","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318698
Varsha Kukreja, Sahil Jobanputra, Mukesh Jha, R. Shankarmani
In recent times there are plenty of research projects with grants from major Government Organizations, Industrial Organizations and other Institutions. But a lack of universal research portal where Professors can motivate students interested in the domain to work with them on high scale research work and projects sponsored by Industries and Government Organizations hampers the growth of research community and also hinders great research opportunities which could be offered to young intelligent minds. Also huge availability of research projects with no customization and recommendation which can enhance students' knowledge in his/her field of interest makes very less students to take up research activities. Our solution aims at satisfying the above need by giving professors, a platform where they are continuously notified about the list of the projects with grants from major organizations for which they can offer research internships to students and float various research projects for students to apply. It also includes monitoring status of the research work and collaborative filtering a nd machine learning based recommendation with highly scale-able notification system making research recommendation completely customized according to data obtained from student's contribution in different version control systems
{"title":"The Universal Research Portal","authors":"Varsha Kukreja, Sahil Jobanputra, Mukesh Jha, R. Shankarmani","doi":"10.1109/ICCDW45521.2020.9318698","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318698","url":null,"abstract":"In recent times there are plenty of research projects with grants from major Government Organizations, Industrial Organizations and other Institutions. But a lack of universal research portal where Professors can motivate students interested in the domain to work with them on high scale research work and projects sponsored by Industries and Government Organizations hampers the growth of research community and also hinders great research opportunities which could be offered to young intelligent minds. Also huge availability of research projects with no customization and recommendation which can enhance students' knowledge in his/her field of interest makes very less students to take up research activities. Our solution aims at satisfying the above need by giving professors, a platform where they are continuously notified about the list of the projects with grants from major organizations for which they can offer research internships to students and float various research projects for students to apply. It also includes monitoring status of the research work and collaborative filtering a nd machine learning based recommendation with highly scale-able notification system making research recommendation completely customized according to data obtained from student's contribution in different version control systems","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133114521","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318659
Anirban Chowdhury, R. Roy, K. Mandal
The active power losses in a radial distribution network are higher than transmission network due to high R/X ratio. The depletion of fossil fuel-based resources is one of the growing concerns for the network operators. The harmful pollutants from fossil fuels is a major threat to the environment. Thus, in this period of energy crisis, renewable energy resources like PV, wind are very good alternative to meet up energy demand. This paper presents improvement of a constrained multi-objective function based on voltage stability, economy and emission using Jaya Algorithm for wind energy integrated radial distribution network. Wind based distributed generators (DG) are injected at single, double and triple points of standard IEEE 33 bus and 85 bus test systems and the results have been compared with PSO and its different variants.
{"title":"Optimal Allocation of Wind Based DG for Enhancement of Technical, Economic and Social Benefits using Jaya Algorithm for Radial Distribution Networks","authors":"Anirban Chowdhury, R. Roy, K. Mandal","doi":"10.1109/ICCDW45521.2020.9318659","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318659","url":null,"abstract":"The active power losses in a radial distribution network are higher than transmission network due to high R/X ratio. The depletion of fossil fuel-based resources is one of the growing concerns for the network operators. The harmful pollutants from fossil fuels is a major threat to the environment. Thus, in this period of energy crisis, renewable energy resources like PV, wind are very good alternative to meet up energy demand. This paper presents improvement of a constrained multi-objective function based on voltage stability, economy and emission using Jaya Algorithm for wind energy integrated radial distribution network. Wind based distributed generators (DG) are injected at single, double and triple points of standard IEEE 33 bus and 85 bus test systems and the results have been compared with PSO and its different variants.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130141135","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318645
Ravindra Sonavane, Adhyayan Sugdeo Sonavane
Classification and accurate detection of brain tumor using MRI is essential for purpose of treatment and diagnosis of tumor. In this paper we propose and developed system using four stages namely image normalization, Image Binarization with morphological operation, Anisotropic Diffusion filtering and feature extraction using GLCM. The system evaluated on two types of database, Clinical Brain MRI Images and Digital Database for Screening Mammogram (DDSM). Normalization is process of contrast stretching which changes value of pixel intensity and Image Binarization is processing of Grey scale image into black and white image by fixing threshold level of pixel. If value of pixel above the threshold level is white either Black followed by steps of morphological operation i.e. Erosion and Dilation by processing MRI images. Apart from that anisotropic diffusion (ADF) is applied for detection and sharpen the edge detection. Features taken or extracted by using GLCM from filtered MR images. In the stage of classification, two Neural Networks have been implemented. The first Neural Network is Adaboost NN is based on boosting method which yields classification accurately and the second neural network, LVQ is feed forward network which uses Quantization machine learning algorithm and Lossy compression techniques. The extracted features hence given to train Neural Network for classification. Accuracy with success has been obtain 95% and 80.6% for Clinical Brain MRI images with 79.3% and 69.9% for DDSM.
{"title":"Classification of MRI Brain Tumor and Mammogram Images using Adaboost and Learning Vector Quantization Neural Network","authors":"Ravindra Sonavane, Adhyayan Sugdeo Sonavane","doi":"10.1109/ICCDW45521.2020.9318645","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318645","url":null,"abstract":"Classification and accurate detection of brain tumor using MRI is essential for purpose of treatment and diagnosis of tumor. In this paper we propose and developed system using four stages namely image normalization, Image Binarization with morphological operation, Anisotropic Diffusion filtering and feature extraction using GLCM. The system evaluated on two types of database, Clinical Brain MRI Images and Digital Database for Screening Mammogram (DDSM). Normalization is process of contrast stretching which changes value of pixel intensity and Image Binarization is processing of Grey scale image into black and white image by fixing threshold level of pixel. If value of pixel above the threshold level is white either Black followed by steps of morphological operation i.e. Erosion and Dilation by processing MRI images. Apart from that anisotropic diffusion (ADF) is applied for detection and sharpen the edge detection. Features taken or extracted by using GLCM from filtered MR images. In the stage of classification, two Neural Networks have been implemented. The first Neural Network is Adaboost NN is based on boosting method which yields classification accurately and the second neural network, LVQ is feed forward network which uses Quantization machine learning algorithm and Lossy compression techniques. The extracted features hence given to train Neural Network for classification. Accuracy with success has been obtain 95% and 80.6% for Clinical Brain MRI images with 79.3% and 69.9% for DDSM.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132112305","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318606
K. Pandey, S. Kotecha, Nirajkumar Pandey
Control strategies for the DC motor drives are quite simpler and have some good features. But AC motor drives are much more efficient and cost-effective for the servo application as compared to their DC counterparts. Many control strategies are available of AC drives too but they are complex as they require number of machine parameters. To obtain these machine parameters one can either refer to the datasheet provided by the manufacturer or some tests could be performed for the same. Test results may not be accurate due to the continuously varying operating conditions and other factors. This may lead to the malfunctioning of drive which is totally undesirable. For getting the performance of the higher grounds with sensor-less vector control of an induction motor, the accuracy of the motor parameters has are predominant in governing the performance of the system in whole. A solution to problems faced in AC drives is the new feature called self-commissioning. In this paper light is thrown on the self-commissioning of the induction motor for drives which a novel feature for the AC drives. Self-commissioning totally eliminates the need of performing the traditional tedious tests for obtaining machine parameters. This drastically reduces the costs of test equipments, also self-commissioning support the advantage of the auto-tuning of the electric drive with the motor parameter varying in continuously altering operating conditions.
{"title":"Automatic Estimation of Equivalent Circuit Parameters of Induction Motors for Drives","authors":"K. Pandey, S. Kotecha, Nirajkumar Pandey","doi":"10.1109/ICCDW45521.2020.9318606","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318606","url":null,"abstract":"Control strategies for the DC motor drives are quite simpler and have some good features. But AC motor drives are much more efficient and cost-effective for the servo application as compared to their DC counterparts. Many control strategies are available of AC drives too but they are complex as they require number of machine parameters. To obtain these machine parameters one can either refer to the datasheet provided by the manufacturer or some tests could be performed for the same. Test results may not be accurate due to the continuously varying operating conditions and other factors. This may lead to the malfunctioning of drive which is totally undesirable. For getting the performance of the higher grounds with sensor-less vector control of an induction motor, the accuracy of the motor parameters has are predominant in governing the performance of the system in whole. A solution to problems faced in AC drives is the new feature called self-commissioning. In this paper light is thrown on the self-commissioning of the induction motor for drives which a novel feature for the AC drives. Self-commissioning totally eliminates the need of performing the traditional tedious tests for obtaining machine parameters. This drastically reduces the costs of test equipments, also self-commissioning support the advantage of the auto-tuning of the electric drive with the motor parameter varying in continuously altering operating conditions.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129708872","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318699
Karuna Gamare, R. B. Jain
In this paper a fast, efficient and accurate method for the detection of a cancerous cell using Two-dimensional (2D) photonic crystal is proposed. Photonic crystal has many advantage of small size, portability, low cost, high sensitivity and accuracy. The detection of cancer cell is based on the fact that the refractive index of cancer cells differ from normal cells in human body. This difference in refractive index can be observed using optical techniques in 2D photonic crystal. The detection mechanism consists of shift in reflection or transmission coefficient on different wavelength, when a sample of cell is placed in to 2D photonic crystal structure with defect and this shift is different for different types of cancer cells. This helps in interpreting the type of cancer efficiently. For analysis of different cancer cells, refractive index of cancer cells have been taken instead of refractive index of air in the structure. This paper analyzes the shift in wavelength for various cancer cells such as PC12, Basal, Jurkat, Cervical, MCF-7, MDA-MB 231 with the help of grating structure, structure with defect and double ring structure. Finite Element Method based simulation tool, COMSOL Multiphysics has been used for analysis and results are presented in the form of reflection coefficient vs wavelength for various cancer cells.
{"title":"Cancer Cell Detection using 2D Photonic Crystal","authors":"Karuna Gamare, R. B. Jain","doi":"10.1109/ICCDW45521.2020.9318699","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318699","url":null,"abstract":"In this paper a fast, efficient and accurate method for the detection of a cancerous cell using Two-dimensional (2D) photonic crystal is proposed. Photonic crystal has many advantage of small size, portability, low cost, high sensitivity and accuracy. The detection of cancer cell is based on the fact that the refractive index of cancer cells differ from normal cells in human body. This difference in refractive index can be observed using optical techniques in 2D photonic crystal. The detection mechanism consists of shift in reflection or transmission coefficient on different wavelength, when a sample of cell is placed in to 2D photonic crystal structure with defect and this shift is different for different types of cancer cells. This helps in interpreting the type of cancer efficiently. For analysis of different cancer cells, refractive index of cancer cells have been taken instead of refractive index of air in the structure. This paper analyzes the shift in wavelength for various cancer cells such as PC12, Basal, Jurkat, Cervical, MCF-7, MDA-MB 231 with the help of grating structure, structure with defect and double ring structure. Finite Element Method based simulation tool, COMSOL Multiphysics has been used for analysis and results are presented in the form of reflection coefficient vs wavelength for various cancer cells.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116999998","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318633
V. Ramakrishnan
Fusion of Multiple exposure images has attracted lot of attention over the years. There are various approaches for multi-exposure image fusion, in these approaches the images are treated and fused in the spatial domain or in the transform domain by defining a fusion rule. This filtering based approach for exposure fusion; relies basically on natural spatial, statistics of the images rather than on parameter extraction based approaches. The basic advantage of the particle filtering based approach is its linearity and quick convergence. This method is based on stochastic principles for de-noising. We treat the particle filtering based approach as an image de-noising problem in the spatial domain in this paper.
{"title":"Exposure Fusion using Particle Filtering Techniques","authors":"V. Ramakrishnan","doi":"10.1109/ICCDW45521.2020.9318633","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318633","url":null,"abstract":"Fusion of Multiple exposure images has attracted lot of attention over the years. There are various approaches for multi-exposure image fusion, in these approaches the images are treated and fused in the spatial domain or in the transform domain by defining a fusion rule. This filtering based approach for exposure fusion; relies basically on natural spatial, statistics of the images rather than on parameter extraction based approaches. The basic advantage of the particle filtering based approach is its linearity and quick convergence. This method is based on stochastic principles for de-noising. We treat the particle filtering based approach as an image de-noising problem in the spatial domain in this paper.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"480 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123054523","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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