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

Deep Learning Based Application in Detecting Wrinkle and Predicting Age 基于深度学习在皱纹检测和年龄预测中的应用

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10090987

Pallavi M O, Vishwanath Y, A. Raj

引用次数: 0

Short Term Load Forecasting Using ANN and WNN 基于神经网络和小波神经网络的短期负荷预测

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10091081

M. Ulagammai

引用次数: 0

A Smart Hydroponic Farming System Using Machine Learning 利用机器学习的智能水培农业系统

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10090860

L. Kondaka, R. Iyer, Shreyas Jaiswal, Altaf Ali

{"title":"A Smart Hydroponic Farming System Using Machine Learning","authors":"L. Kondaka, R. Iyer, Shreyas Jaiswal, Altaf Ali","doi":"10.1109/IITCEE57236.2023.10090860","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10090860","url":null,"abstract":"The growing demand for food in the world may not be met with the traditional farming system coupled with rising pollution level and oscillations in climate. Hydroponic System is a system of growing crops without soil, produces organic crops without using fertilizers or pesticides and its results are better than traditional farming based on yield and quality. Hydroponic System enables farming of crops in indoors at convenience and requires negligible attention of user. It increases the productivity and reduces the water utilization up to 80-90% as compared to the traditional farming system. We propose a Smart Hydroponic Farming System to grow various crops by maintaining and controlling environmental parameters such as temperature, water flow or level, nutrients in water, duration of lights, etc. using Machine learning model. After selecting the plant, the Raspberry Pi will automatically set the environment for that plant as trained in ML model and the growing process will begin automatically. User will be able to monitor and control the system by making use of Web Portal.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"4 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":"117165597","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

Sensor Node Communication based Selfish Node Detection in Mobile Wireless Sensor Networks 移动无线传感器网络中基于自节点检测的传感器节点通信

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10091048

S. Thangaraj, N. Ramshankar, E. Srividhya, S. Jayanthi, R. Kumudham, C. Srinivasan

{"title":"Sensor Node Communication based Selfish Node Detection in Mobile Wireless Sensor Networks","authors":"S. Thangaraj, N. Ramshankar, E. Srividhya, S. Jayanthi, R. Kumudham, C. Srinivasan","doi":"10.1109/IITCEE57236.2023.10091048","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10091048","url":null,"abstract":"A mobile wireless sensor network (MWSN) is a self-configuring network that does not require a fixed structure, which minimizes its operation time. At the same time, every node in this network is free to move and make the network change its topology frequently. Several routing algorithms designed for MWSNs are established on every node that forwards data packets in the network. However, in real time, some of the nodes may act as selfish nodes. Those selfish nodes use the network and its services but do not cooperate with other nodes. Therefore, detecting these nodes is essential for the WSN. Thus, this approach, “sensor node communication-based selfish node detection” (CSND) in MWSN, is proposed. In this approach, it can be verified that the node communicates based on the route request and reply messages sent within the communication network. The article's objective is to distinguish the selfish node in WSNs. This approach elects the forwarder node based on the highest energy level and node communication ratio (RNC). The BS is noticing the behaviour of every communication in the MWSN. The simulation illustrates that it enhances delivery and drop rates and improves energy efficiency during data transmission.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"95 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":"124883056","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: 12

Analysis of a Multichannel Learning Mechanism for Speech Detection in Social Networks 社交网络中语音检测的多通道学习机制分析

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10091086

B. Samatha, Nagarjuna Karyemsetty, D. Kumar, D. K. Rao, G. Mani, Thalakola Syamsundararao

引用次数: 0

Malware Detection across Clusters 跨集群的恶意软件检测

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10090979

Manjushree C V, A. Nandakumar

引用次数: 0

A Planar Concentric Circular Ultra-wideband 5/6 GHz Notch Antenna for Wireless Application 一种用于无线应用的平面同心圆5/ 6ghz缺口天线

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10090998

S. K. Dash, J. Varma, B. Behera, Budhadeb Maity, S. Mohapatra, J. Panda

引用次数: 0

Stock Movement Prediction via Temporal Convolutional Network and Interactive Attention Network 基于时间卷积网络和交互注意网络的股票运动预测

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10091033

Sing Guo, Hui Ai, Shanxin Li

{"title":"Stock Movement Prediction via Temporal Convolutional Network and Interactive Attention Network","authors":"Sing Guo, Hui Ai, Shanxin Li","doi":"10.1109/IITCEE57236.2023.10091033","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10091033","url":null,"abstract":"Stock movement prediction is an important study that can provide investors with some reliable trading signals and long-term stable investment returns. Although many existing studies show that using text data of social platforms and historical share prices can effectively predict stock movement, the existing methods still have some limitations. For example, (i) future information is inevitably used to obtain the features of text and price; (ii) The interaction between text data of social platforms and historical share price data was not considered. In order to alleviate these restrictions, we propose a novel method to predict the stock movement based on Temporal Convolution Network (TCN) and Interactive Attention Network (IAN), in which TCN can effectively avoid using future information when obtaining the features of text and price. In addition, IAN can get the interactive feature between social texts and historical share prices. In the end, we employ a three-layer neural network classifier to predict the stock movement. The experimental results show that the proposed model can obtain a competitive results compared with other existing methods.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"17 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":"114156771","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

Ultrasonic Sensor Based Door Security Camera with Wireless Data Transfer in Telegram Bot Using WIFI 利用WIFI在Telegram Bot中实现无线数据传输的基于超声波传感器的门安防摄像头

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10090954

N. Raghu, Imran Miah, Achinta Brata Roy Tonmoy

引用次数: 0

Blockchain-based EHR System for Indian Healthcare Industry using Aadhar 使用Aadhar的印度医疗保健行业基于区块链的电子病历系统

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE) Pub Date : 2023-01-27 DOI: 10.1109/IITCEE57236.2023.10091065

Sahibdeep Singh, Manik Rakhra, Arun Malik, Dalwinder Singh

{"title":"Blockchain-based EHR System for Indian Healthcare Industry using Aadhar","authors":"Sahibdeep Singh, Manik Rakhra, Arun Malik, Dalwinder Singh","doi":"10.1109/IITCEE57236.2023.10091065","DOIUrl":"https://doi.org/10.1109/IITCEE57236.2023.10091065","url":null,"abstract":"In today's world, digital technologies are advancing at a rapid pace. Almost every industry has benefited from this ongoing change. In the health sector, the digitization of medical records was proposed decades ago. Whereas some developed countries have successfully adopted and implemented Electronic Health Record (EHR) systems. Developing countries like India still heavily rely on paper-based medical records. Although there are a number of systems for electronic medical record management, they have issues related to interoperability, timely access, and storage. Due to poor infrastructure and design, the current systems are not robust for communicating and tracking medical records. The need for a better EHR system was highly emphasized during the COVID-19 pandemic. The two major shortcomings of the existing system are a lack of interoperability, which causes delays in sharing the information, and a lack of standardization, due to which the data quality of the data that is shared suffers. To mitigate these issues, we need a nationwide EHR system. Another issue is the lack of a ubiquitous UPI (Unique Patient Identifier). In a country like India, the second most populated country in the world, Aadhar is the best option for UPI, which can be used for creating a national EHR system. In this paper, we have presented a framework for a standardized, interoperable, and unified EHR system based on blockchain technology with Aadhar as the UPI. Using blockchain as the base of this model provides numerous advantages over a cloud-based system, like decentralization, better security, immutability, and traceability.","PeriodicalId":124653,"journal":{"name":"2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)","volume":"100 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":"124562552","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