2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)最新文献

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Hidden Markov Model with Machine Learning-Based Black hole Attack Identification in Wireless Sensor Networks 基于机器学习的隐马尔可夫模型无线传感器网络黑洞攻击识别
K. Balasubadra, X. Shiny, Pramila P V, P. Solainayagi, S. Maniraj
{"title":"Hidden Markov Model with Machine Learning-Based Black hole Attack Identification in Wireless Sensor Networks","authors":"K. Balasubadra, X. Shiny, Pramila P V, P. Solainayagi, S. Maniraj","doi":"10.1109/IITCEE57236.2023.10090993","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090993","url":null,"abstract":"Wireless Sensor Network (WSN) is lying to several attacks because the Black hole is problematic to distinguish and protect. Impostor internments and re-programs block the packets rather than transmitting and obtaining them at the base station (BS) in a black hole attack. Consequently, any data that arrives in the black hole area is taken and cannot reach the recipient, triggering high packet losses and decreasing network performance. To overcome this problem, a hidden Markov model with machine learning (HMML)-based black hole attack identification in WSN is introduced. This approach uses the Hidden Markov Model (HMM) to detect the blackhole node in the WSN. This model examines the shortest routes between the sender and the recipient to discover the black hole route. This model contains states as well as the observation sequence. Forward and received count and reply of non-adjacent nodes are used for verifying the shortest routes. Here, the supervised and unsupervised training machine learning methods decide for detecting black hole nodes.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125441611","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
Cloud-based Application for managing placement related information 用于管理安置相关信息的基于云的应用程序
S. Aravind, MP Ashik, M. L. Chayadevi, Arun Joshua Kennedy, Chinmay R Bhatkal, A. Patil
{"title":"Cloud-based Application for managing placement related information","authors":"S. Aravind, MP Ashik, M. L. Chayadevi, Arun Joshua Kennedy, Chinmay R Bhatkal, A. Patil","doi":"10.1109/IITCEE57236.2023.10091095","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10091095","url":null,"abstract":"Presently, all the information about the placements are being received through emails. This makes keeping track of all the placement-related information difficult, which might lead to overlooking some critical placement-related details. There is also a need for a structured presentation of data, based on the branch, the CTC offered, the company, etc. Better presentation makes it easier to identify relevant offers to each student and can immediately convey the required information. Additionally, there is no information available to the students about the previous companies that have visited the college and their CTC. A system that addresses the above issues is proposed. The cloud platform would maintain placement information, interview experiences, and experiences of seniors and alumni and would also provide better visualization and presentation of placement-related data, auto-filling of forms, and much more. Hence, the objective of the work is to develop a system for the placement activities that can be used by the college students, placement team, and the companies that visit the college for placements","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127019569","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
Classifying Chest X-rays for COVID-19 using Deep Learning 使用深度学习对COVID-19的胸部x射线进行分类
S. Sreeja, V. Asha, Binju Saju, Punyashree K C, P. Manasa, V. R
{"title":"Classifying Chest X-rays for COVID-19 using Deep Learning","authors":"S. Sreeja, V. Asha, Binju Saju, Punyashree K C, P. Manasa, V. R","doi":"10.1109/IITCEE57236.2023.10090915","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090915","url":null,"abstract":"A developing virus called COVID-19 infects the lungs and upper layer respiratory system. Medical imaging and PCR assays can be used to identify COVID-19. Medical images are used to identify COVID-19 diseases in the proposed classification model, which works well. A crucial step in the battle against this fatal illness may turn out to be an efficient screening and diagnostic phase in treating infected sufferers. Chest X-ray (CXR) scans could be used to do this. The utilization of chest X-ray imaging for early detection may prove to be a crucial strategy in the fight against COVID-19. Many computer- aided diagnostic (CAD) methods have been developed to help radiologists and provide them with more information for the same. In a training network with many classes, tertiary classification starts to become more accurate as the number of classes increases.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122016536","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
An Approach to Disambiguate the Innate Sense of a Message with the Help of Emoji 一种利用表情符号消除信息固有意义歧义的方法
Saikat Bhattacharyya, Surela Maity, Suraj Maiti, A. R. Pal, Antara Pal
{"title":"An Approach to Disambiguate the Innate Sense of a Message with the Help of Emoji","authors":"Saikat Bhattacharyya, Surela Maity, Suraj Maiti, A. R. Pal, Antara Pal","doi":"10.1109/IITCEE57236.2023.10090922","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090922","url":null,"abstract":"This project aims to understand the tonality of a text using emoticons as the predictor. The emoticons have transpired to be an increasingly significant and standardized part of modern textual inputs. The combination of visual and textual content in the same message builds a compact form of communication, sometimes which becomes tough to portray by the words only. Emoticon prediction and word-emoticon embedding could be used for any kind of Sentiment Analysis based works like Opinion Mining, User Profiling etc. This work focuses on identifying the tone of emotion behind a body of text which is used to analyze the sentiment of a user according to h(is)er comments or messages in online media. This experiment is carried out on the comments collected from some Twitter handles, Facebook walls and Whatsapp conversations. During the experiment, it is observed that in a few cases the senses of different comments are not possible to retrieve only from the words, but the texts which are combined with some emoticons are evaluated correctly. Challenges faced in this work are explained at the end of this report.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128085778","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
eChoupal: The Ticker Tape of Agricultural Markets eChoupal:农业市场的收报机
Shivangi Garg
{"title":"eChoupal: The Ticker Tape of Agricultural Markets","authors":"Shivangi Garg","doi":"10.1109/IITCEE57236.2023.10090873","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090873","url":null,"abstract":"The paper will highlight how an ICT initiative, eChoupal, played a role in the region of Malwa, intertwined with other socio-political factors. The pressures on the internal state affairs of Madhya Pradesh, and evident international pressures of WTO trade policies shape the agricultural scenario in India. The emergence of eChoupal was the result of defects in the prevailing supply chain. The large-scale adoption of ICTs supports the notion of technological determinism, which has impacted the working of eChoupals' marketing infrastructure. The paper will try to answer how eChoupals fulfilled Green Revolution's primary goals and later increased the rural development activity as farmers marketed and profited from Sharbati wheat. The paper will highlight the severity of problems with the ICT intervention, which enhanced the class struggles in the Malwa Region. The aggravated class conflict was imposed by the Green Revolution and its unequal distribution of benefits across the agro-climatic regions of MP. Recent trends show that ICT initiatives heavily lean on ‘Village Level Entrepreneur’ VLE as a human-to-human ICT interface to make it acceptable to the rural poor. VLE model, a decentralized local approach to address market-based challenges. The paper will ultimately try to answer the question of whether there was an ‘Information Revolution’, and whether the value of information is inherently empowering or disempowering.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126765601","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
Wearable Antenna For Remote Health Monitoring 用于远程健康监测的可穿戴天线
R. P, Sumathi, Shisheer S Kaushik, K. B, Chidananda S P
{"title":"Wearable Antenna For Remote Health Monitoring","authors":"R. P, Sumathi, Shisheer S Kaushik, K. B, Chidananda S P","doi":"10.1109/IITCEE57236.2023.10091015","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10091015","url":null,"abstract":"Remote health monitoring of elderly people is a serious issue of concern. Such an issue can be evaded by using wearable antennas which can get completely integrated onto clothes and use it for remotely transmitting/receiving the sensor data without affecting the elderly's regular habits. This research work aims to study and understand real wearability of the antenna and investigate the challenges in the design and fabrication of highly efficient antenna which can be fabricated on a fully flexible fabric substrate or a solid substrate. A wearable microstrip patch antenna with operating frequencies of 2.3 GHz (FR4 as substrate) and 2.66 GHz (Denim material as substrate) is designed and tested. Prominent materials considered for substrate parts are: Denim fabrics with the relative permittivity $unicode{x20AC}mathrm{r}=1.67$, and the loss tangent tan $delta=0.085$ and FR4 (lossy) with the dielectric constant $unicode{x20AC}mathrm{r}=4.3$, and loss tangenttan $delta=0.025$ material, while conventional copper metal sheets have been used as antenna conductive material. The antenna proposed is designed and simulated using CST simulator, fabricated using flexible copper sheet and tested. Results demonstrate that the designed antenna is very efficient, highly sensitive and of low-cost with performance meeting the expectation of the application in need. Further, proposed wearable antenna may also be attached to human body directly to sense suitable parameters.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126522117","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
Breast Cancer classification using Neural networks 使用神经网络进行乳腺癌分类
V. Asha, Binju Saju, Serene Mathew, Athira M V, Y. Swapna, S. Sreeja
{"title":"Breast Cancer classification using Neural networks","authors":"V. Asha, Binju Saju, Serene Mathew, Athira M V, Y. Swapna, S. Sreeja","doi":"10.1109/IITCEE57236.2023.10091020","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10091020","url":null,"abstract":"Nowadays, due to lack of awareness of breast cancer and its signs that show, as well as methods for prevention, causes them to be one of the most deadly types of cancer and the death rate has significantly increased. Hence, in order to stop the spread of cancer, early identification at a nearly stage is critical as well as important. Breast cancer is further classified in to two types, malignant and benign. This study used machine learning techniques and neural network methods to classify the breast cancer types. A system is automated to carry out its opinion that is also automated, for breast cancer. This approach uses DNN (deep neural network), CNN (Convolutional Neural Network) and ANN Artificial Neural Network) and RFE (recursive feature elimination) for feature selection. DNN is applied with a multitude of layers of functions processing is applied to categorize the breast cancer data set. The result shows DNN is comparatively more outperforming with an accuracy of 97%.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"508 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121708023","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
Determination of Feet Elevation for the Development of a Robotic Squat-Assist Device 机器人深蹲辅助装置开发中足部高度的测定
Hari Krishnan Ramachandran, Akash Thirupathi
{"title":"Determination of Feet Elevation for the Development of a Robotic Squat-Assist Device","authors":"Hari Krishnan Ramachandran, Akash Thirupathi","doi":"10.1109/IITCEE57236.2023.10090952","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090952","url":null,"abstract":"Squatting is considered to be the natural, traditional and widely followed posture for defecation and hence it is a practical solution to avoid constipation. However, due to musculoskeletal issues and changes in lifestyle, it is difficult for the older population to follow squatting posture. A semi-squat posture has also been recommended by the researchers which is closer to the squatting posture. This study is aimed at determining the required feet elevation so as to achieve 30° angle between the torso & legs during semi-squat posture to facilitate smooth bowel movement. For this, two feet elevated postures, upper body up-right and upper body bending forward, have been considered. Using anthropometric data such as body height, body-segment lengths and certain assumptions, feet elevations in both the postures have been estimated using trigonometry. The feet elevations to achieve 30° angle between the torso and legs in upper body bending forward posture are smaller and hence it is considered to be an optimal posture that can be achieved by the users without much strain. The result of this analysis will facilitate in developing a squat-assist device for elderly to tackle constipation.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122085565","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
Cerebellum-Inspired Artificial Neural Networks Architecture 小脑启发的人工神经网络架构
A. Nurutdinov, R. Latypov
{"title":"Cerebellum-Inspired Artificial Neural Networks Architecture","authors":"A. Nurutdinov, R. Latypov","doi":"10.1109/IITCEE57236.2023.10090893","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090893","url":null,"abstract":"This article presents a new neural network architecture based on the histology of the cerebellum. The developed architecture can be used in combination with existing machine-learning methods. The novelty of our approach relies on the natural representation of the cerebellum as an analog computer designed to resolve systems of differential equations. A sample differential equation in a computational simulation is given.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131401771","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 Novel Characterization of the Fake News in Twitter Networks 推特网络中假新闻的新特征
B. Sreedevi, Lakshmi Priya Narendruni, B. Chitradevi, M. Santhanalakshmi, G. Sumathi
{"title":"A Novel Characterization of the Fake News in Twitter Networks","authors":"B. Sreedevi, Lakshmi Priya Narendruni, B. Chitradevi, M. Santhanalakshmi, G. Sumathi","doi":"10.1109/IITCEE57236.2023.10090869","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090869","url":null,"abstract":"Nowadays, mobile usage is widely expanding with the help of the internet. This statement also spreads fake news easily and negatively impacts society. As a result, it's critical to create a basic mathematical model to comprehend fake news on social networks. To address this, it develops the auto-regressive integrated moving average (ARIMA) and the long-term short memory (LSTM) to detect false news more accurately to maintain high-level security in social networks. The proposed novel deep learning model accurately identifies fake news based on standard historical data. The performance of this model is validated with three standard metrics: accuracy, sensitivity, specificity, and F1-Score. The proposed LSTM predictor achieved nearly 97.5% accuracy, 94.6% the F1-score, and 91.2% sensitivity on average. The results are compared with other existing methodologies, and the proposed framework outperformed existing methodologies. This framework provides promising solutions to detect and predict fake news.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130599452","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
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