2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)最新文献

Summarization and Prioritization of Amazon Reviews based on multi-level credibility attributes 基于多层次可信度属性的亚马逊评论的汇总和优先排序

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573744

N. Aishwarya, Bhuvana L S, K. N.

{"title":"Summarization and Prioritization of Amazon Reviews based on multi-level credibility attributes","authors":"N. Aishwarya, Bhuvana L S, K. N.","doi":"10.1109/RTEICT52294.2021.9573744","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573744","url":null,"abstract":"It is common for most people to check Amazon reviews of competing products before a purchase decision. However, the ratings and reviews could be from a customer who has not actually purchased the product on Amazon. There is also a chance that the reviews are doctored by paid reviewers either to enhance a particular product's appeal or lower that of a competitor's product. So, the ratings and reviews do not always reflect the reality. We provide a mechanism to eliminate un-authenticated reviews prioritizing them based on their credibility score and summarize both positive and negative keywords. In this paper, we present a methodology to eliminate un-authenticated reviews based on three levels of pruning. The final rating of the review is adjusted using helpfulness ratio of the review, how old the review is and the helpfulness and experience of the reviewer. We also summarize the positive and negative keywords using ‘term frequency-inverse document frequency’ and ‘Long Short-Term Memory networks’. The reviews are prioritized the based on their credibility score. We were able to summarize and prioritize the reviews for easy analysis by the user. We also did an empirical validation of our proposed solution and found that the overall helpfulness factors improved.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116807229","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}

引用次数: 2

Real Time Monitoring and Controlling of Water Levels in Tank with Improved Blynk Features 改进Blynk功能的水箱水位实时监测与控制

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573690

Gopa Kumar, C. B. Reddy, K. V. Kumar, D. Kumari, P. Sunil, G. Krishna

{"title":"Real Time Monitoring and Controlling of Water Levels in Tank with Improved Blynk Features","authors":"Gopa Kumar, C. B. Reddy, K. V. Kumar, D. Kumari, P. Sunil, G. Krishna","doi":"10.1109/RTEICT52294.2021.9573690","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573690","url":null,"abstract":"In this paper, we proposed a simulation model for remote monitoring and controlling of water tank level using Blynk tool by adding live status indication facility. As we all know that the water is finite and it is one of the vital needs to survive on the earth. Now-a-days, demand for water is also increasing enormously due to increase in water wastage because of numerous reasons like improper reclosing of taps after being used, overflow of tanks, pipe leakages etc. Since most of the water leakages occur in household works, we took a step to conserve water to some extent by avoiding overflow of water tanks. In this modernized world, everyone is busy with their works. So, remote controlling of things gained more importance. That's why we focused on remote controlling of water pumps and live monitoring of water tank levels in our mobile itself with the help of efficient Blynk tool. In this simulation model we designed a virtual water tank in Proteus whose water level is indicated with the help of logic gates. Based on the logic gates value, arduino processes the data and transfers it to the blynk cloud with the help of virtual serial port driver. With this user can able to control the water level from blynk interface through our mobiles. Similarly when the user press button in our mobile to control motor then the data is sent to the arduino and it in turn instructs the motor to act accordingly. Thus saving of water, energy and time has been the main focus of this paper.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121337181","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}

引用次数: 2

A Comparative Analysis of LEACH, TL-LEACH and EHCA Algorithms for Wireless Sensor Networks (WSNs) 无线传感器网络LEACH、TL-LEACH和EHCA算法的比较分析

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573564

S. S. Jayanna, Praveena K S, K. Bhargavi, M. Sahana, S. Tejaswini, D. J. Chaithanya

{"title":"A Comparative Analysis of LEACH, TL-LEACH and EHCA Algorithms for Wireless Sensor Networks (WSNs)","authors":"S. S. Jayanna, Praveena K S, K. Bhargavi, M. Sahana, S. Tejaswini, D. J. Chaithanya","doi":"10.1109/RTEICT52294.2021.9573564","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573564","url":null,"abstract":"WSNs are made up of a dense geographical area in which many sensor nodes (SNs) are positioned, each of which detects data and sends it to the base station (BS). To extend the lifespan of SNs for different WSN applications, there is a need to reduce the energy utilization of each sensor node which increases its performance. A new approach called the Hierarchical clustering approach is made use of to reduce the usage of energy in which the node with more energy aggregates the information and route to the BS. In this paper, the Clustering algorithms like Low-energy adaptive clustering hierarchy algorithm (LEACH), Three-Layer LEACH (TL-LEACH), and Enhanced Hierarchical Clustering algorithm (EHCA) for WSN were simulated and compared using MATLAB software. The SNs and BSs are positioned in a 200×200 m2 geographical area, and the energy utilization is simulated for 1000 rounds. Based on the simulation results, the EHCA algorithm is found to be more energy-efficient, which in turn increases the network lifetime.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124800710","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}

引用次数: 0

Threat Assessment Industrial Robot 威胁评估工业机器人

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573838

Archis Gune, Vivek Kumar Mandal, Ayush Asawa, Vivek Shetty, D. Karia

引用次数: 0

T1w MRI Brain Tumor Image Segmentation using Active Contour Models and Convolution Neural Network Fusion 基于活动轮廓模型和卷积神经网络融合的T1w MRI脑肿瘤图像分割

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573862

Vamisdhar Entireddy, Babu K Rajesh, Rathinasamy Sampathkumar, Jyothirmai Gandeti, S. Shameem, R. K. Rao

{"title":"T1w MRI Brain Tumor Image Segmentation using Active Contour Models and Convolution Neural Network Fusion","authors":"Vamisdhar Entireddy, Babu K Rajesh, Rathinasamy Sampathkumar, Jyothirmai Gandeti, S. Shameem, R. K. Rao","doi":"10.1109/RTEICT52294.2021.9573862","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573862","url":null,"abstract":"Early detection of a brain tumour is a challenging task and allows the doctors to reduce the death rate. A brain tumour is first diagnosed by doctors; this process takes more time and needs a lot of experience. The Magnetic resonance imaging (MRI) is primary diagnostic tool to detect the tumour from abnormal brain image at an early stage. An automated segmentation method is introduced in this research article for efficiently segmenting and extracting tumour from MRI images. Pre-processing, clustering, fusion, and segmentation are the four key phase's uses in the proposed method. After pre-processing, the images are clustered by using K-mans and fuzzy c-means (FCM) algorithms. The clustered images are embedded by using the convolution neural network (CNN) data fusion method to obtain high level tumor information of the brain tumor. The fused images are segmented by active contour methods such as chan-vese (C-V) and level set method (LSM) to detect the exact tumor region. All experiments are performed on two brain tumour datasets: BRATS 2017 and Brain Web. The performance of the proposed flow work is measured by various similarity metrics. The Segmentation after fusion gives better results than segmentation alone. Overall, the CNN fusion-based C-V segmentation outperforms than LSM in order to detect the tumor from T1w brain MRI images with minimal loss of information.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116244256","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}

引用次数: 0

Design and Analysis of DTMOS based Low Voltage OTA and its Filter Application 基于DTMOS的低压OTA设计与分析及其滤波器应用

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573559

Madhulika, S. Kumari, Maneesha Gupta

引用次数: 1

Robotic Process Automation for Resume Processing System 简历处理系统的机器人过程自动化

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573595

N. Roopesh, C. Babu

{"title":"Robotic Process Automation for Resume Processing System","authors":"N. Roopesh, C. Babu","doi":"10.1109/RTEICT52294.2021.9573595","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573595","url":null,"abstract":"Recruiting a right candidate for a particular job is a tedious process as shortlisting few applications among thousands involves huge man power. Once the candidates are short listed then candidates have to go through different levels of interviews. Now a day's companies relay on third party for conducting the initial round of interviews. This paper aims to automate such interview process to help in recruitment with the help of robotic process automation and machine learning techniques. RPA bot monitors the mail and the file storage, if any new mail or file are received, the attachment with respect to the mails are downloaded and document classification is done on the attachments to find if they are resumes, text is extracted from the attachments, Name Entity Recognition (NER) is applied to get the important details in the attachments and the resumes are short listed based on the skills, experience and the education background. The precision value for text classification done with Naive Bayes Classifier is 92.08%, for document classification with 150k Bag of Words on BERT is 91.36%, for custom trained NER is 86.2% and finally for web scranning is 91.56%.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114550698","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}

引用次数: 0

A Comparative Analysis on Speech Enhancement and Coding Techniques 语音增强与编码技术的比较分析

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573847

HC Vinay, P. Lavanya, Abhishek A Hippargi, Avani Purohith, DT Lohith

{"title":"A Comparative Analysis on Speech Enhancement and Coding Techniques","authors":"HC Vinay, P. Lavanya, Abhishek A Hippargi, Avani Purohith, DT Lohith","doi":"10.1109/RTEICT52294.2021.9573847","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573847","url":null,"abstract":"The speech data is usually a degraded speech data, which is a combination of clean speech and various noises like vocal, animal noise, instrumental noise and speech from other speakers. The noisy speech data collected and studied in detail for various kinds of noises. The spectral subtraction one of the best algorithms proposed for the enhancement of single channel speech. The speech enhancement is based on two aspects i.e., Noise estimation and Speech estimation, where noise estimation is critical part which has major impact on the quality of enhanced speech. Speech enhancement is used for many applications such as mobile phones, communication, speech recognition etc. The aim of this paper is to provide a comparison study of the different forms of speech enhancement techniques and algorithms by using filters like Kalman filter and Weiner filter on the output of SS- VAD which gives improved enhanced speech signals. Coding techniques like Code Excited Linear Predictive (CELP) Coding and Algebraic Code Excited Linear Predictive (ACELP) Coding algorithm, is also discussed the performance of these are compared with LPC algorithm for speech enhancement.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129148031","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}

引用次数: 0

Finite Element Analysis and Mathematical Modelling of Rosen Piezoelectric Transformer: A Review 罗森压电变压器的有限元分析与数学建模研究进展

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573634

Aslesh Kumar Avadhanula, Anusha Vadde, S. Sachin

引用次数: 0

Performance Analysis of CNTFET-ReRAM based Crossbar Network for In-Memory Computing 基于CNTFET-ReRAM的内存计算交叉棒网络性能分析

2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT) Pub Date : 2021-08-27 DOI: 10.1109/RTEICT52294.2021.9573900

Huma Syed, F. A. Khanday, Furqan Zahoor, F. Hussin

{"title":"Performance Analysis of CNTFET-ReRAM based Crossbar Network for In-Memory Computing","authors":"Huma Syed, F. A. Khanday, Furqan Zahoor, F. Hussin","doi":"10.1109/RTEICT52294.2021.9573900","DOIUrl":"https://doi.org/10.1109/RTEICT52294.2021.9573900","url":null,"abstract":"With scaling of transistors reaching its physical limits, the end of Moores law is imminent. The prevalent CMOS technologies are facing severe design issues like short channel effects, lithographic limitations etc in undergoing further scaling. Also the huge advancements made in processing technologies have made the effects of memory wall more prominent. Because of the growing divide between processing time and time taken to transfer data, the severity of Von Neumann bottleneck is being felt more than ever. Thus there is an emergent need to shift to new technologies both at device and architecture level. Keeping in view the significance of non Von Neumann architecture and post CMOS technologies, a crossbar based NOR logic gate was designed using CNTFETs and ReRAM devices to facilitate in-memory computing. ReRAM based logic circuits using MAGIC and IMPLY have been already implemented but this work focuses on ratioed logic based ReRAM-CNTFET design because of its better compatibility with crossbar architecture which is conceived to be a promising candidate for in-memory computing. In this work, hybrid CNTFET (carbon nanotube field effect transistor) -ReRAM (resistive random access memory) based NOR logic gate has been designed and its performance has been compared with its CMOS-ReRAM based counterpart. The results yielded from HSPICE simulations depict better performance in terms of power dissipation, power delay product(PDP) and temperature variation.","PeriodicalId":191410,"journal":{"name":"2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116351362","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}

引用次数: 1