{"title":"Short Term Electric Load Forecasting Using High Precision Convolutional Neural Network","authors":"S. Rafi, Nahid-Al-Masood","doi":"10.1109/ICCECE48148.2020.9223102","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223102","url":null,"abstract":"In this research work, a novel methodology for the issue of short-term load forecasting (STLF) procedure using convolutional neural network (CNN) is presented. The forecasting outcomes of the proposed CNN model in the field of STLF is compared with the outcomes of autoregressive integrated moving average (ARIMA) model that are most frequently used in time series forecasting arena. Mean average error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE) have been defined as accuracy evaluation parameters which evaluated the performance of both proposed CNN model and ARIMA model. Results obtained from the developed network appear that the strategy has the ability to obtain higher precision and accuracy in load forecasting.","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129709417","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}
{"title":"Classification of Childhood Medulloblastoma and its subtypes using Transfer Learning features - A Comparative Study of Deep Convolutional Neural Networks","authors":"D. Das, L. Mahanta, B. K. Baishya, Shabnam Ahmed","doi":"10.1109/ICCECE48148.2020.9223104","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223104","url":null,"abstract":"Convolutional Neural Network (CNN) has exposed great results for classification as well as segmentation problems, for various image datasets. We widen the use of Deep Learning features using Transfer learning for our medical image dataset of childhood medulloblastoma (CMB) tissue samples. Due to the critical nature of CMB studying its characteristics is of profound significance for integration into the digital healthcare system. The experiments were carried out with data collected from collaborative medical centres of the region. This paper performs classification of CMB samples for two categories: binary (to classify it from normal samples) and multiclass (to classify its different subtypes). For feature extraction, two transfer learning networks: Alexnet and VGG16, were trained and then evaluated and compared. Following this, Softmax function was used as the classifier for both networks. Further, the features extracted from these networks were also compared using traditional machine learning Support Vector Machine (SVM) classifier. Data Augmentation was performed to control overfitting of samples by the network. Performance evaluation showed that Alexnet outperforms VGG-16 network with a softmax classifier but the features extracted from VGG-16 showed superior performance for SVM classification. This suggests that the features extracted by the VGG-16 network are more considerable than Alexnet.","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129976022","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}
{"title":"Design of one Adaptive Controller for Dynamic Framework and Study of its Tracking","authors":"Samiran Maiti, Achintya Das","doi":"10.1109/ICCECE48148.2020.9223025","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223025","url":null,"abstract":"The processes having time fluctuating nature execution of conventional controller isn't agreeable. In such cases, adaptive controllers are reasonable as they are able to adjust the control activity as indicated by the adaptive modifications of process elements and undesired burden varieties. Present work proposes a compelling strategy for accomplishing the desired tracking of dynamic framework. Contingent upon the vulnerability parameters a Model Reference Adaptive Control (MRAC) is structured and outlined. The idea of adaption component for controlling the framework execution is incredibly influenced by the estimation of adaption gain. Lyapunov Stability approach has been applied to the shut circle elements to guarantee global stability on a variety of plant parameters. Result for analysis is done in MATLAB and the outcomes are looked at for changing the adaption mechanism.","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130613943","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}
{"title":"A Linear Array of Christmas-tree Shaped Antennas for DBS Applications","authors":"K. Kola, A. Chatterjee","doi":"10.1109/ICCECE48148.2020.9223078","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223078","url":null,"abstract":"A two-element linear array with Christmas-tree shaped fractal antennas has been presented in this paper. The proposed single element is designed to operate in Ku-band with the center frequency $(f_{r})$ of 12.50 GHz for the application of Direct Broadcast Satellite (DBS) (12.2-12.7GHz) systems like Direct-2-Home (DTH). The motif has been scaled by 50%, pasted in the optimum place inside the structure and etched it to make the tree-shaped fractal antenna. Wilkinson power divider with equal magnitude is imposed to design the feed network of the two-element linear array. The single element and the array maintains a gain of 7.64 and 9.76 dB respectively. The obtained absolute bandwidth of the proposed antenna and the array are capable to cover more than 40% of the entire bandwidth of DBS service band.","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121515217","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}
{"title":"A study of electronic transport through a nanoscale air film","authors":"Ramonika Sengupta, Anand Anil, S. Talukder","doi":"10.1109/ICCECE48148.2020.9223081","DOIUrl":"https://doi.org/10.1109/ICCECE48148.2020.9223081","url":null,"abstract":"This paper presents a simple model for predicting electrical conductivity of air with varying electrode separation and different moisture content present in air. Our system consists of a metallic thin film (Cu) coated sample and a needle tip in a box filled with air. A constant potential difference has been applied between the tip and the sample and electrical current is calculated for different air-gaps and for different humidity conditions using COMSOL Multiphysics software. The electric potential, electric field and current density in the region between the probe tip and sample have been presented. The numerical results showing the variation of terminal current as a function of gap separation and relative humidity are found to be analogous with theoretical prediction. This study will be useful for finding the optimal current in case of electric field induced scanning probe nanolithography techniques such as electrolithography [1].","PeriodicalId":129001,"journal":{"name":"2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117243378","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}