Pub Date : 2020-09-05DOI: 10.1109/ICCE50343.2020.9290704
Nilava Debabhuti, Rishav Sen, A. Sengupta, Sahil Sengupta, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya
The development of a microcontroller-based data acquisition for the processing of the real-time data of a QCM Sensor array-based E-Nose system and its output on a graphical user interface (GUI) has been discussed. The working model of the E-nose comprises 4 QCM sensors connected to a multi-core processor(P8X32A-Q44), a multi-core processor chip, which is connected serially to Raspberry-Pi4 where the data acquisition and processing is carried out. The live graphs of the frequency changes and related outputs can be viewed through the GUI, which is touch operated. The system is designed to take and simultaneously plot the real-time data continuously of the four QCM sensors for a particular sample and consequently perform composite analysis based upon the user choice. The GUI also allows the user to distinguish the samples using the principal component analysis (PCA) algorithm that has been developed using the Linux platform which has been implemented on the E-nose dataset.
{"title":"Microcontroller Based Sensor-Array Data Acquisition System for Electronic Nose","authors":"Nilava Debabhuti, Rishav Sen, A. Sengupta, Sahil Sengupta, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya","doi":"10.1109/ICCE50343.2020.9290704","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290704","url":null,"abstract":"The development of a microcontroller-based data acquisition for the processing of the real-time data of a QCM Sensor array-based E-Nose system and its output on a graphical user interface (GUI) has been discussed. The working model of the E-nose comprises 4 QCM sensors connected to a multi-core processor(P8X32A-Q44), a multi-core processor chip, which is connected serially to Raspberry-Pi4 where the data acquisition and processing is carried out. The live graphs of the frequency changes and related outputs can be viewed through the GUI, which is touch operated. The system is designed to take and simultaneously plot the real-time data continuously of the four QCM sensors for a particular sample and consequently perform composite analysis based upon the user choice. The GUI also allows the user to distinguish the samples using the principal component analysis (PCA) algorithm that has been developed using the Linux platform which has been implemented on the E-nose dataset.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"42 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":"126497202","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/ICCE50343.2020.9290566
Rajatsubhra Chakraborty, Debadrita Mukherjee, Ankan Bhattacharyya, Himadri Mukherjee, Monoj Kumar Sur, Shibaprasad Sen, K. Roy
The present experiment deals with online handwriting recognition for two regional languages Bangla and Devanagari using CNN (convolution neural network) a deep learning concept. Our proposed model consists of two convolution and pooling layers and a fully connected network. CNN model give relaxation of producing handcrafted features manually rather generates features, reduce feature dimension automatically and pass the features to a fully connected network for classification purpose. The current experiment is performed on 10000 Bangla basic characters and 1800 Devanagari characters. We have achieved 99.65% and 98.87% recognition accuracy for Bangla and Devanagari character datasets respectively.
{"title":"Online Handwritten Bangla and Devanagari Character Recognition by using CNN: A Deep Learning Concept","authors":"Rajatsubhra Chakraborty, Debadrita Mukherjee, Ankan Bhattacharyya, Himadri Mukherjee, Monoj Kumar Sur, Shibaprasad Sen, K. Roy","doi":"10.1109/ICCE50343.2020.9290566","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290566","url":null,"abstract":"The present experiment deals with online handwriting recognition for two regional languages Bangla and Devanagari using CNN (convolution neural network) a deep learning concept. Our proposed model consists of two convolution and pooling layers and a fully connected network. CNN model give relaxation of producing handcrafted features manually rather generates features, reduce feature dimension automatically and pass the features to a fully connected network for classification purpose. The current experiment is performed on 10000 Bangla basic characters and 1800 Devanagari characters. We have achieved 99.65% and 98.87% recognition accuracy for Bangla and Devanagari character datasets respectively.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"253 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":"114445950","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/ICCE50343.2020.9290546
Ritwik Raha, Arpan Sengupta, A. Saha
This paper proposes a novel study of the feature elements in corresponding emotional EEG states to investigate the appearance of repeating or residual elements which serve as the foundation of memory or causality in EEG signals. Features are first preprocessed and filtered to remove unwanted artifacts, and then are extracted by utilizing various well-known techniques including peak signal to noise ratio, Manhattan distance metric, mean cross correlation, mutual information and especially Granger causality. Once extracted, the host of features is used to perform statistical analysis on the EEG data. It is noteworthy that a key mechanism that has been used in this study is the consideration of only consecutive trials while performing statistical analysis for stronger establishment of our motive. Experimental results confirm that certain transition of emotional states such as fear to excitement and anger to sadness are more likely to be predictable given its past values than others.
{"title":"Causality Analysis of Emotional States from EEG Response","authors":"Ritwik Raha, Arpan Sengupta, A. Saha","doi":"10.1109/ICCE50343.2020.9290546","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290546","url":null,"abstract":"This paper proposes a novel study of the feature elements in corresponding emotional EEG states to investigate the appearance of repeating or residual elements which serve as the foundation of memory or causality in EEG signals. Features are first preprocessed and filtered to remove unwanted artifacts, and then are extracted by utilizing various well-known techniques including peak signal to noise ratio, Manhattan distance metric, mean cross correlation, mutual information and especially Granger causality. Once extracted, the host of features is used to perform statistical analysis on the EEG data. It is noteworthy that a key mechanism that has been used in this study is the consideration of only consecutive trials while performing statistical analysis for stronger establishment of our motive. Experimental results confirm that certain transition of emotional states such as fear to excitement and anger to sadness are more likely to be predictable given its past values than others.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"66 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":"114755870","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/ICCE50343.2020.9290729
H. Gajera, Koushik Dutta, C. K S, P. S, C. S
A dual-band design of microstrip patch antenna has been presented for X-band applications. A copper ring superstrate supported by two dielectric posts is placed above the rectangular patch. The lower and higher resonant bands have been achieved strategically using the resonance behavior of the rectangular patch and the copper-ring superstrate respectively. The proposed antenna resonates near 9 GHz and 11.35 GHz with an impedance bandwidth of 6.8% and 3.1% respectively. About 8.2 dBi and 10.1 dBi peak-gain values have been obtained in these two frequency bands respectively. The antenna prototypes have been fabricated using low loss substrate and validated experimentally. The measured data closely agree with the simulated result.
{"title":"Dual-Band Design of Microstrip Patch Antenna with Copper Ring Superstrate for X-Band Applications","authors":"H. Gajera, Koushik Dutta, C. K S, P. S, C. S","doi":"10.1109/ICCE50343.2020.9290729","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290729","url":null,"abstract":"A dual-band design of microstrip patch antenna has been presented for X-band applications. A copper ring superstrate supported by two dielectric posts is placed above the rectangular patch. The lower and higher resonant bands have been achieved strategically using the resonance behavior of the rectangular patch and the copper-ring superstrate respectively. The proposed antenna resonates near 9 GHz and 11.35 GHz with an impedance bandwidth of 6.8% and 3.1% respectively. About 8.2 dBi and 10.1 dBi peak-gain values have been obtained in these two frequency bands respectively. The antenna prototypes have been fabricated using low loss substrate and validated experimentally. The measured data closely agree with the simulated result.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"115 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":"123969117","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/ICCE50343.2020.9290713
Shyandeep Das, Animesh Bhattacharya, Arijit Sarkar, Sidhartha Chandra, Amal K. Ghosh
The Magnitude comparator is an essential part of any Arithmetic and Logic Unit (ALU). The very high speed and massive data capabilities of Optical multivalued logic computing demands for further development of the logic systems and its applications. The quadruple valued logic system is such an optical multivalued logic system. Therefore, the development of an optical quadruple logic system based magnitude comparator would be an essential step for the development of the quadruple ALU. This paper introduces a design for the optical Quadruple Magnitude Comparator (QMC) and its Optical Tree Architecture (OTA) is developed. The Spatial Light Modulators (SLM) and Savart plates are used to realize the optical design.
{"title":"Quadruple Magnitude Comparator (QMC) using SLM and Savart Plate","authors":"Shyandeep Das, Animesh Bhattacharya, Arijit Sarkar, Sidhartha Chandra, Amal K. Ghosh","doi":"10.1109/ICCE50343.2020.9290713","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290713","url":null,"abstract":"The Magnitude comparator is an essential part of any Arithmetic and Logic Unit (ALU). The very high speed and massive data capabilities of Optical multivalued logic computing demands for further development of the logic systems and its applications. The quadruple valued logic system is such an optical multivalued logic system. Therefore, the development of an optical quadruple logic system based magnitude comparator would be an essential step for the development of the quadruple ALU. This paper introduces a design for the optical Quadruple Magnitude Comparator (QMC) and its Optical Tree Architecture (OTA) is developed. The Spatial Light Modulators (SLM) and Savart plates are used to realize the optical design.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"81 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":"115485643","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/ICCE50343.2020.9290659
D. Saha, Supriya Dhabal
The article suggests the idea of digital image enhancement using Salp Swarm Algorithm (SSA). The input image is enhanced by increasing the pixel intensity via cost function containing local and global information. The output analysis of the suggested algorithm is presented with respect to the Number of Detected Edges, Entropy, Peak Signal to Noise Ratio (PSNR), Detail Variance (DV), and Background Variance (BV). The simulation results demonstrated that the suggested SSA algorithm is superior to other meta-heuristic techniques.
{"title":"Medical Image Enhancement using Salp Swarm Algorithm","authors":"D. Saha, Supriya Dhabal","doi":"10.1109/ICCE50343.2020.9290659","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290659","url":null,"abstract":"The article suggests the idea of digital image enhancement using Salp Swarm Algorithm (SSA). The input image is enhanced by increasing the pixel intensity via cost function containing local and global information. The output analysis of the suggested algorithm is presented with respect to the Number of Detected Edges, Entropy, Peak Signal to Noise Ratio (PSNR), Detail Variance (DV), and Background Variance (BV). The simulation results demonstrated that the suggested SSA algorithm is superior to other meta-heuristic techniques.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"54 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":"123325003","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/ICCE50343.2020.9290697
R. Sarker
Neutral-point clamped multilevel inverter (NPC- MLI) has become a widely accepted choice in the area of industrial drive applications. The problem concerning the higher harmonic content and the higher switching frequency still exist in the conventional NPC-MLI topology. In this paper, a phase disposition pulse width modulation (PD-PWM) technique is proposed for a three-phase five-level NPC-MLI, which is proficient in reducing the high-frequency weighted total harmonic distortion (WTHD) content of the inverter output voltage by employing a mathematically formulated harmonic mitigation algorithm. The experimental results of a three-phase NPC-MLI prototype hold a good resemblance with the theoretical calculation and simulated results of the proposed control scheme. Besides, a quantitative comparative investigation affirms that the proposed PD-PWM technique exhibits the lowest WTHD content among all the earlier- proposed PWM schemes under study, which verifies the preeminence of the proposed work.
{"title":"Phase Disposition PWM (PD-PWM) Technique to Minimize WTHD from a Three-Phase NPC Multilevel Voltage Source Inverter","authors":"R. Sarker","doi":"10.1109/ICCE50343.2020.9290697","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290697","url":null,"abstract":"Neutral-point clamped multilevel inverter (NPC- MLI) has become a widely accepted choice in the area of industrial drive applications. The problem concerning the higher harmonic content and the higher switching frequency still exist in the conventional NPC-MLI topology. In this paper, a phase disposition pulse width modulation (PD-PWM) technique is proposed for a three-phase five-level NPC-MLI, which is proficient in reducing the high-frequency weighted total harmonic distortion (WTHD) content of the inverter output voltage by employing a mathematically formulated harmonic mitigation algorithm. The experimental results of a three-phase NPC-MLI prototype hold a good resemblance with the theoretical calculation and simulated results of the proposed control scheme. Besides, a quantitative comparative investigation affirms that the proposed PD-PWM technique exhibits the lowest WTHD content among all the earlier- proposed PWM schemes under study, which verifies the preeminence of the proposed work.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"10 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":"125296666","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/icce50343.2020.9290745
{"title":"ICCE 2020 TOC","authors":"","doi":"10.1109/icce50343.2020.9290745","DOIUrl":"https://doi.org/10.1109/icce50343.2020.9290745","url":null,"abstract":"","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"7 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":"116367663","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/ICCE50343.2020.9290700
Soumi Ghosh, Chandan Banerjee
Prediction analysis of customer purchase behavior is an interesting and challenging task in modern-day life. Our objective is to introduce the concept of machine learning using a random forest algorithm in depth. In this paper, a model has been proposed for predicting which cloud services have been purchased on a number of factors. A random forest model is built using different parameters such as advertisement click sequence, previously purchased cloud services, etc. and training our model. For the execution of this proposed model, an advertisement log dataset has been taken and the necessary modifications have been done on it. As an outcome, for a customer, this proposed model is providing high accuracy in prediction. Five factors have been considered which affect purchasing decision-making of customers in cloud services, such as previous purchasing habits, a sequence of advertisements viewed, customer location, etc..
{"title":"A Predictive Analysis Model of Customer Purchase Behavior using Modified Random Forest Algorithm in Cloud Environment","authors":"Soumi Ghosh, Chandan Banerjee","doi":"10.1109/ICCE50343.2020.9290700","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290700","url":null,"abstract":"Prediction analysis of customer purchase behavior is an interesting and challenging task in modern-day life. Our objective is to introduce the concept of machine learning using a random forest algorithm in depth. In this paper, a model has been proposed for predicting which cloud services have been purchased on a number of factors. A random forest model is built using different parameters such as advertisement click sequence, previously purchased cloud services, etc. and training our model. For the execution of this proposed model, an advertisement log dataset has been taken and the necessary modifications have been done on it. As an outcome, for a customer, this proposed model is providing high accuracy in prediction. Five factors have been considered which affect purchasing decision-making of customers in cloud services, such as previous purchasing habits, a sequence of advertisements viewed, customer location, etc..","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"13 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":"116581425","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/ICCE50343.2020.9290621
Sandipan Paul, S. Biswas, T. Nag, S. Dalai
This paper reports the assessment of impurities of solid Epoxy insulator by sensing Polarizing and Depolarizing Current under high voltage excitation. Several impure Epoxy samples were created carefully by contaminating different level of carbon dust particles within it. The Polarization/Depolarization Current (PDC) measurement is also nondestructive method in time domain for assessment of dielectric response as well as conductivity of insulator. PDC measurements contain precise information about the condition of the contaminated/aged insulator. In this contribution, a crucial study of the insulation quality of the Epoxy insulator samples is presented in terms of increasing carbon contamination level in Epoxy samples. The experimental results indicate that the insulation quality of those samples degrades as the carbon contamination percentage increases. The proposed method can also assess the quality of the epoxy insulator sample under test.
{"title":"Investigation of the Insulation Condition of Contaminated Solid Epoxy Insulators","authors":"Sandipan Paul, S. Biswas, T. Nag, S. Dalai","doi":"10.1109/ICCE50343.2020.9290621","DOIUrl":"https://doi.org/10.1109/ICCE50343.2020.9290621","url":null,"abstract":"This paper reports the assessment of impurities of solid Epoxy insulator by sensing Polarizing and Depolarizing Current under high voltage excitation. Several impure Epoxy samples were created carefully by contaminating different level of carbon dust particles within it. The Polarization/Depolarization Current (PDC) measurement is also nondestructive method in time domain for assessment of dielectric response as well as conductivity of insulator. PDC measurements contain precise information about the condition of the contaminated/aged insulator. In this contribution, a crucial study of the insulation quality of the Epoxy insulator samples is presented in terms of increasing carbon contamination level in Epoxy samples. The experimental results indicate that the insulation quality of those samples degrades as the carbon contamination percentage increases. The proposed method can also assess the quality of the epoxy insulator sample under test.","PeriodicalId":421963,"journal":{"name":"2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)","volume":"20 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":"123788088","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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