Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290725
Vidhatri Gujela, Om Prakash Gujela
Polyethylene is a biocompatible material, it can be considered as a suitable material for the surgical manipulator. ANSYS release 14 has been used for simulation. For the structural analysis, the force has been varied from 1 nano Newton to 0.8 Newton. The length of the beam has been varied as 80 μm, 120 μm and 160 μm, the width has varied as 10 μm, 20 μm and 30 μm and the thickness as 0.6 μm, 1.2 μm and 1.8 μm. Polyethylene has been used as a gold-standard biomaterial for surgical implants. Porous high-density polyethylene implants are embedded in routine clinical practice. Further research into tissue in-growth in porous polyethylene scaffolds is needed.
{"title":"ANSYS Simulation of Polyethylene for Soft-Robotic Applications","authors":"Vidhatri Gujela, Om Prakash Gujela","doi":"10.1109/ICCE50343.2020.9290725","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290725","url":null,"abstract":"Polyethylene is a biocompatible material, it can be considered as a suitable material for the surgical manipulator. ANSYS release 14 has been used for simulation. For the structural analysis, the force has been varied from 1 nano Newton to 0.8 Newton. The length of the beam has been varied as 80 μm, 120 μm and 160 μm, the width has varied as 10 μm, 20 μm and 30 μm and the thickness as 0.6 μm, 1.2 μm and 1.8 μm. Polyethylene has been used as a gold-standard biomaterial for surgical implants. Porous high-density polyethylene implants are embedded in routine clinical practice. Further research into tissue in-growth in porous polyethylene scaffolds is needed.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131395758","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 : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290560
Soham Das, S. Ghosh, M. Mandal
It becomes inevitable to impart more attention to the education sector, specially the technical education sector as technology is the pillar of ultramodern civilization of 21st century. Graduate Aptitude Test in Engineering (GATE) is considered to be one of the most critical and standardized tests conducted at the national level in India and it aims in examining the technical aptitude and practical ability of engineering students. Numerous institutes offer quality coaching for GATE/IES aspirants through online and classroom courses. The prime objective of this research is to evaluate the performance of six leading institutes which provide GATE exam preparation coaching across the country. A literature review has been carried and six influential parameters were identified for the assessment of institutions. Relevant data have been gathered from expert’s opinion and simulated numerically. This study propounds a hybrid fuzzy-multi criteria decision making (MCDM) approach where fuzzy-analytical hierarchy process (AHP) is used to determine the priority weights of criteria and fuzzy-technique for order of preference by similarity to ideal solution (TOPSIS) is used to prioritize, rank and benchmark the institutions. In this study, fuzzy set theory is incorporated with MCDM to eliminate the vagueness and discrepancy present in the human judgement. To the best of our knowledge it is one of the few studies that measure the performance of educational institutions in India.
{"title":"Performance Evaluation of GATE Coaching Institutes in India: A Fuzzy-MCDM Approach","authors":"Soham Das, S. Ghosh, M. Mandal","doi":"10.1109/ICCE50343.2020.9290560","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290560","url":null,"abstract":"It becomes inevitable to impart more attention to the education sector, specially the technical education sector as technology is the pillar of ultramodern civilization of 21st century. Graduate Aptitude Test in Engineering (GATE) is considered to be one of the most critical and standardized tests conducted at the national level in India and it aims in examining the technical aptitude and practical ability of engineering students. Numerous institutes offer quality coaching for GATE/IES aspirants through online and classroom courses. The prime objective of this research is to evaluate the performance of six leading institutes which provide GATE exam preparation coaching across the country. A literature review has been carried and six influential parameters were identified for the assessment of institutions. Relevant data have been gathered from expert’s opinion and simulated numerically. This study propounds a hybrid fuzzy-multi criteria decision making (MCDM) approach where fuzzy-analytical hierarchy process (AHP) is used to determine the priority weights of criteria and fuzzy-technique for order of preference by similarity to ideal solution (TOPSIS) is used to prioritize, rank and benchmark the institutions. In this study, fuzzy set theory is incorporated with MCDM to eliminate the vagueness and discrepancy present in the human judgement. To the best of our knowledge it is one of the few studies that measure the performance of educational institutions in India.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131995807","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 : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290532
Joyita Biswas, R. Barui, Sayantani Das, S. Bandyopadhyay
This work ensemble the structural features of Porous Silicon (PS) layers which are being fabricated employing modified stain etch method. Additionally, this study also categorizes the optimal etching parameters which are extensively used to grow Porous Silicon (PS) layers enabling Metal Induced Vapor Phase Stain Etching methodology. Various growth conditions are considered to fabricate uniform porous structures. The structural morphology of PS layers has been studied in scanning electron microscopy (SEM) that reveals macroporous nature of pore morphology supported by investigation of optical properties. This has been supported by characterizing ultraviolet-visible (UV-VIS) spectrophotometer absorption spectra. Surface and optical investigations discover uniform porous structure which augments the size of silicon substrate. This augmented surface of planar silicon substrate can be used as sensing platform for different kinds of sensors.
{"title":"Aluminium Induced Vapor Phase Stain Etch Method for Generating Porous Silicon Structure","authors":"Joyita Biswas, R. Barui, Sayantani Das, S. Bandyopadhyay","doi":"10.1109/ICCE50343.2020.9290532","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290532","url":null,"abstract":"This work ensemble the structural features of Porous Silicon (PS) layers which are being fabricated employing modified stain etch method. Additionally, this study also categorizes the optimal etching parameters which are extensively used to grow Porous Silicon (PS) layers enabling Metal Induced Vapor Phase Stain Etching methodology. Various growth conditions are considered to fabricate uniform porous structures. The structural morphology of PS layers has been studied in scanning electron microscopy (SEM) that reveals macroporous nature of pore morphology supported by investigation of optical properties. This has been supported by characterizing ultraviolet-visible (UV-VIS) spectrophotometer absorption spectra. Surface and optical investigations discover uniform porous structure which augments the size of silicon substrate. This augmented surface of planar silicon substrate can be used as sensing platform for different kinds of sensors.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"982 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132967210","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 : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290695
Somenath Chakraborty, Chaoyang Zhang
The objectives of this paper are to explore ways to parallelize and distribute deep learning in multi-core and distributed settings. We have heuristically improved the training parameter setting by a Deep Neural Network (DNN) using quad-core CPU and Graphical Processing Unit (GPU) and develop a setting to improve training performances. Along with that, a Parallel Phase Neural network model (PHNNM) has been proposed for the prediction of the long-term survival of liver patients who undergo liver transplantation (LT). We made survival analysis of 13 years in the prediction of liver patients after LT and trained the liver transplantation system to follow up data of 13 years separately using a multilayer perceptron PHNNM model with proper selection of data attributes in conjunction with evaluating the survival probabilities of such data. This paper proved that our prediction model is suitable for the long-term prognosis of survival of patients after LT. The promising results are shown, in combination with the computational performances in terms of CPU and GPU.
{"title":"Survival Prediction Model of Renal Transplantation using Deep Neural Network","authors":"Somenath Chakraborty, Chaoyang Zhang","doi":"10.1109/ICCE50343.2020.9290695","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290695","url":null,"abstract":"The objectives of this paper are to explore ways to parallelize and distribute deep learning in multi-core and distributed settings. We have heuristically improved the training parameter setting by a Deep Neural Network (DNN) using quad-core CPU and Graphical Processing Unit (GPU) and develop a setting to improve training performances. Along with that, a Parallel Phase Neural network model (PHNNM) has been proposed for the prediction of the long-term survival of liver patients who undergo liver transplantation (LT). We made survival analysis of 13 years in the prediction of liver patients after LT and trained the liver transplantation system to follow up data of 13 years separately using a multilayer perceptron PHNNM model with proper selection of data attributes in conjunction with evaluating the survival probabilities of such data. This paper proved that our prediction model is suitable for the long-term prognosis of survival of patients after LT. The promising results are shown, in combination with the computational performances in terms of CPU and GPU.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"904 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132470371","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 : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290534
Sreemoyee Bose, S. Das, Arijit Dey, Jyotirmoy Das, S. B. Raha
In a country of 1.33 billion people theft of power is one of the greatest problems this country faces. India’s power companies have 10 billon dollar losses every year. With only about 10 thousand arrests only in Delhi and only 12 hundred convicted under the Electricity Conservation Act, 2003, Indian power industry still stand to be knee deep in debt. This paper provides a solution to combat this problem. We have proposed a reliable method to detect a power theft by hooking and by passing of electric meter in low voltage consumer network. In case of this suggested method the energy meter is places in between the two LC traps. The injected signal has high frequency, low magnitude, and is non-interfering in nature from an external high frequency injection circuit. The LC traps are designed to prevent the injected signal from reaching the load. Also, in case of hooking on the transmission line and/or bypassing of energy meter, the initial value of the PSD coefficient changes. To attain this goal, the power spectral density (PSD) coefficients are compared at different required points on the circuit.
{"title":"Power Theft Detection in Low Voltage Distribution Network","authors":"Sreemoyee Bose, S. Das, Arijit Dey, Jyotirmoy Das, S. B. Raha","doi":"10.1109/ICCE50343.2020.9290534","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290534","url":null,"abstract":"In a country of 1.33 billion people theft of power is one of the greatest problems this country faces. India’s power companies have 10 billon dollar losses every year. With only about 10 thousand arrests only in Delhi and only 12 hundred convicted under the Electricity Conservation Act, 2003, Indian power industry still stand to be knee deep in debt. This paper provides a solution to combat this problem. We have proposed a reliable method to detect a power theft by hooking and by passing of electric meter in low voltage consumer network. In case of this suggested method the energy meter is places in between the two LC traps. The injected signal has high frequency, low magnitude, and is non-interfering in nature from an external high frequency injection circuit. The LC traps are designed to prevent the injected signal from reaching the load. Also, in case of hooking on the transmission line and/or bypassing of energy meter, the initial value of the PSD coefficient changes. To attain this goal, the power spectral density (PSD) coefficients are compared at different required points on the circuit.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130813513","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 : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290496
Nilava Debabhuti, Swarnali Neogi, A. Dhar, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya
This paper studies the identification of 1,8-cineole, an oxygenated monoterpenoid which is the most abundant volatile organic compound (VOC) present in Cardamom utilizing a quartz crystal microbalance (QCM) sensor. Cardamom, a very costly spice is known for its wide applications in medicinal as well as its aromatic fragrance requires proper quality estimation for consumer benefit. A silica gel coated QCM sensor (SIL-QCM) has been fabricated using the nebulization coating process. Different sensor characteristics study viz. sensitivity, selectivity, reproducibility, and repeatability have been carried out with the fabricated sensor in the presence of different dominating VOCs present in Cardamom. The SIL-QCM sensor showed good sensitivity of 0.0795 Hz/ppm with the linearity of R2 = 0.9938.
{"title":"Identification of The Important Volatile Organic Component in Cardamom based on Silica-Modified Piezoelectric Resonator","authors":"Nilava Debabhuti, Swarnali Neogi, A. Dhar, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya","doi":"10.1109/ICCE50343.2020.9290496","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290496","url":null,"abstract":"This paper studies the identification of 1,8-cineole, an oxygenated monoterpenoid which is the most abundant volatile organic compound (VOC) present in Cardamom utilizing a quartz crystal microbalance (QCM) sensor. Cardamom, a very costly spice is known for its wide applications in medicinal as well as its aromatic fragrance requires proper quality estimation for consumer benefit. A silica gel coated QCM sensor (SIL-QCM) has been fabricated using the nebulization coating process. Different sensor characteristics study viz. sensitivity, selectivity, reproducibility, and repeatability have been carried out with the fabricated sensor in the presence of different dominating VOCs present in Cardamom. The SIL-QCM sensor showed good sensitivity of 0.0795 Hz/ppm with the linearity of R2 = 0.9938.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132351394","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 : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290694
A. Banerjee, A. Kundu
Authors propose cellular automata (CA) based multilingual encryption algorithm to maintain network based and standalone data security using minimum time. Multilingual data, collected from different geographical locations is required to measure the performance of proposed algorithm. Superiority and linearity of CA based proposed multilingual encryption algorithm should be measured using different experiments. Different components are required in proposed algorithm to prepare an authenticated multilingual dataset for encryption. Comparative analysis between existing Advanced Encryption System (AES) and proposed CA based encryption scheme is established based on several experimental results.
{"title":"Performance Analysis of Multilingual Encryption for Enhancing Data Security using Cellular Automata based State Transition Mapping: A Linear Approach","authors":"A. Banerjee, A. Kundu","doi":"10.1109/ICCE50343.2020.9290694","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290694","url":null,"abstract":"Authors propose cellular automata (CA) based multilingual encryption algorithm to maintain network based and standalone data security using minimum time. Multilingual data, collected from different geographical locations is required to measure the performance of proposed algorithm. Superiority and linearity of CA based proposed multilingual encryption algorithm should be measured using different experiments. Different components are required in proposed algorithm to prepare an authenticated multilingual dataset for encryption. Comparative analysis between existing Advanced Encryption System (AES) and proposed CA based encryption scheme is established based on several experimental results.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114419072","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 : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290628
Anirban Sengupta, S. P. Singh, Sukumar Roy, A. Ray
Both diabetes and exposure to microwave radiation are very common phenomenon in present day life. The effect of microwave radiation exposure and diabetes on the brain has been studied separately. This study focuses on the combined effects of diabetes and microwave radiation on the functioning of rodent brain using electroencephalography (EEG) recordings. It was found that the combined effect of both the interventions was greater than their individual effects.
{"title":"Combined Effect of Microwave Radiation and Diabetes on the EEG of Rat Brain","authors":"Anirban Sengupta, S. P. Singh, Sukumar Roy, A. Ray","doi":"10.1109/ICCE50343.2020.9290628","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290628","url":null,"abstract":"Both diabetes and exposure to microwave radiation are very common phenomenon in present day life. The effect of microwave radiation exposure and diabetes on the brain has been studied separately. This study focuses on the combined effects of diabetes and microwave radiation on the functioning of rodent brain using electroencephalography (EEG) recordings. It was found that the combined effect of both the interventions was greater than their individual effects.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"586 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123704618","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 : 2020-09-05DOI: 10.1109/icce50343.2020.9290497
{"title":"ICCE 2020 Opinion","authors":"","doi":"10.1109/icce50343.2020.9290497","DOIUrl":"https://doi.org/10.1109/icce50343.2020.9290497","url":null,"abstract":"","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"6 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125353924","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 : 2020-09-05DOI: 10.1109/icce50343.2020.9290647
{"title":"ICCE 2020 Index","authors":"","doi":"10.1109/icce50343.2020.9290647","DOIUrl":"https://doi.org/10.1109/icce50343.2020.9290647","url":null,"abstract":"","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130457966","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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