2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)最新文献_第6页

Object Detection for Visually Challenged Using Image Processing 基于图像处理的视觉障碍目标检测

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767982

M. S, Sharmikha Sree, Manasvinii S R, H. V

引用次数: 1

Automation of Minutes of Meeting (MoM) using Natural Language Processing (NLP) 基于自然语言处理(NLP)的会议记录自动化

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767933

M. Fm, Pawankumar S, Guruprasath M, Jayaprakash J

引用次数: 0

Battery Power Optimization and Theft Detection System in Electric Tractor 电动拖拉机电池电量优化与盗窃检测系统

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767910

Sushmitha Sivasankaran, Bharath Singh Jebaraj

{"title":"Battery Power Optimization and Theft Detection System in Electric Tractor","authors":"Sushmitha Sivasankaran, Bharath Singh Jebaraj","doi":"10.1109/IC3IOT53935.2022.9767910","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767910","url":null,"abstract":"The battery is a very important component in any vehicle. It has its functions in initial vehicle startup and the working of electric components. Batteries will be automatically charged while running and it supplies power to the accessories. Power optimization and saving of power from wastage in batteries is the major research happening all over the world. It is proposed to monitor the battery usage and to save the battery charge. The cooling fan used for controlling the engine heat consumes power from the battery. The cooling fan will be powered on along with the engine startup and it will run along with the engine. By monitoring the temperature of the engine, the switching of the fan can be controlled according to the defined temperature. If the temperature exceeds the defined temperature, the fan can be switched on by using the battery supply and once the temperature comes below the level, the cooling fan can be switched off. Another extension of the proposed work is the battery theft detection and intimating the user via Global System for Mobile Communication (GSM). The entire operation involves heat and vibration sensors, controllers, engine fans, and batteries. The sensor values are fed to the processor which switches the fan off or on according to the value and the status of the battery is shared with the user.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128350550","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

Analysis and Prediction of Stock Price Using Hybridization of SARIMA and XGBoost 基于SARIMA和XGBoost杂交的股票价格分析与预测

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767868

Deepak Kumar, Thiruvarangan B C, Sai Nikhil Reddy C, Vishnu A, A. Devi, D. Kavitha

{"title":"Analysis and Prediction of Stock Price Using Hybridization of SARIMA and XGBoost","authors":"Deepak Kumar, Thiruvarangan B C, Sai Nikhil Reddy C, Vishnu A, A. Devi, D. Kavitha","doi":"10.1109/IC3IOT53935.2022.9767868","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767868","url":null,"abstract":"In the field of stock exchange, to accurately forecast the publicly listed stocks price exchange where many investors use prediction techniques to decide when to invest their money and in which stock they have to invest. Generally, the forecast of publicly listed stock prices is done with the assistance of machine learning where it takes into account the present as well as the past price data. It is possible to anticipate stock prices using a variety of algorithms, however standard techniques like data mining statistical or non-deep neural networks are not likely suited to the task because of the volatility and unpredictable behavior of publicly listed stock prices. A stock data set of ten years from Yahoo Finance was used to estimate the values using machine learning that applies a variety of algorithms. Predicting the value of publicly traded stocks using machine learning based on SARIMA and XGBoost is the topic of this study. When predicting the stock market, seasonality plays an important part in the SARIMA model, which is similar to an ARIMA model. Open, adjusted end of the day price, day's peak, day's low, and total volume are all taken into account in XGBoost, an implementation of gradient boosted decision trees optimized for speed and performance. As compared to standard forecasting approaches, the suggested SARIMA XGBoost hybrid model shows Accuracy of 89.48%, Mean Absolute Error (MAE) of 15.612 and Mean Absolute Percentage Error (MAPE) of 10.52%","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133258147","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: 5

Temporal and spectral features based gender recognition from audio signals 基于音频信号的时间和频谱特征的性别识别

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767929

E. Priya, Janani Priyadharshini S, Padam Satya Reshma, Sashaank S

{"title":"Temporal and spectral features based gender recognition from audio signals","authors":"E. Priya, Janani Priyadharshini S, Padam Satya Reshma, Sashaank S","doi":"10.1109/IC3IOT53935.2022.9767929","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767929","url":null,"abstract":"Gender is an important consideration when it comes to the overall development of society in terms of social norms and power structure impact on the society itself. Gender recognition is so useful in the fields of forensics and sports. In forensics, many criminal cases can be cracked if the gender of the criminal is known. If the gender of the convicted or suspect isn't sure and needs to be confirmed, tests are undertaken. This work aims to identify gender using audio signals. It presents an efficient technique that measures the voice features through which it classifies gender. The spectral features such as power spectral density, spectral centroid, spectral flux, spectral roll-off, and temporal features such as energy, zero-crossing rate, root mean square, maximum amplitude are acquired from the voice signal. Next, the features are scrutinized for statistical consistency using the t-test, and the classification based on the Mel spectral features plot is discussed. The discussion reveals that the best-suited features for spontaneous gender classification are the power spectral density and spectral flux. These two dominant features simplify the process of determining gender without any complex tests and lab setup during initial diagnosis.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129003212","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

Low Profile Sierpinski Fractal Patch Antenna 低轮廓Sierpinski分形贴片天线

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767954

V. Remya, M. Gajalakshmi, S. Jayashree, M. Kanthimathi

{"title":"Low Profile Sierpinski Fractal Patch Antenna","authors":"V. Remya, M. Gajalakshmi, S. Jayashree, M. Kanthimathi","doi":"10.1109/IC3IOT53935.2022.9767954","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767954","url":null,"abstract":"The desire for Low Profile, High Gain, Compact Sized antennas is increasing persistently due to rapid advancement in the telecommunication field. It is significant to have extensive bandwidth since the data rate performance is closely associated with the resonating frequency bandwidth. Fractal antennas play an active role in accomplishing the above-stated demands and have attributes one step ahead of the prevalent microstrip (patch) antennas. The proposed antenna uses Sierpinski fractal structures. The CST (Computer Simulation Technology) studio suite software can be used to analyze the fractal antenna design and to check the various parameters such as VSWR, radiation pattern, pattern gain, etc. It aims to cover the frequency ranges of 2.36–2.4 GHz termed as MBAN - Medical Body Area Network band and 2.4–2.48 GHz termed as ISM - Industrial Scientific and Medical band. The Specific Absorption Rate (SAR) of the proposed antenna is strived to be reduced below the definitive SAR of 1.6 W/kg. The recommended antenna is of low cost and reliable for various applications. In this paper, a comparative study on fractal antennas with distinct structures and dielectric substrates is being performed.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133863997","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

Meticulous Deep Learning Evolved Drowse Orchestrate Emotionless Community sleep Apnea 细致的深度学习进化了睡眠管弦乐队无情感社区睡眠呼吸暂停

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767916

U. R, A. V, Imayavathi A, V. R

{"title":"Meticulous Deep Learning Evolved Drowse Orchestrate Emotionless Community sleep Apnea","authors":"U. R, A. V, Imayavathi A, V. R","doi":"10.1109/IC3IOT53935.2022.9767916","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767916","url":null,"abstract":"It's far more important to become aware of sleep stages for the prognosisof sleep issues. There are a variety of sleep problems, due to the factobstructive sleep apnea (OSA) is one of the most unusualcomplications. The manual technique of separation is timeconsuming.Consequently, in order to conquer this, we aimed to improve theautomated type of sleep classes through in-depth analysis and centered atthe observation of the effect of OSA difficulty on magnificence accuracy, byusing ARIMA-Autoregressive integrated moving average, isa version of elegance that describes time collection statistics to recognizehard and fast statistics or predict the future. Time collection data, usingresidual moving averages. Electroencephalogram (EEG) signal-basedtechniques used to identify sleep phase in every segment;whichincorporates pre-processing, feature rendering and classification. In thisundertaking, we additionally brought a novel and an powerful technique theuse of the ARIMA algorithm to perceive sleep classes the use of newmathematical functions utilized in 10 epoch EEG indicators for a singlechannel. A single patient sleep section may be carried out in much lessthan a second with the proposed computerized sleep pattern. We alsopromote an accurate studying technique that you can cognizance of theeffect of Alzheimer's sickness and pressure stage. So this approach is easy to discover sleep disorders.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123899017","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

Modern Resource Conservation Strategies to Develop Multifaceted Applications of Wireless Sensor Networks: A Review 现代资源保护策略发展无线传感器网络的多方面应用:综述

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767912

G.C. Jagan, P. Jayarin

{"title":"Modern Resource Conservation Strategies to Develop Multifaceted Applications of Wireless Sensor Networks: A Review","authors":"G.C. Jagan, P. Jayarin","doi":"10.1109/IC3IOT53935.2022.9767912","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767912","url":null,"abstract":"The terms data and internet are seen as key ingredients today in developing IoT enabled wireless infrastructure to connect digital machines across the globe. As of now wireless sensor networks form a vital platform to perform 5G and 6G computing such that huge amount of data has been delivered across millions of customers by several services namely IoMT (Internet of Medical Things), IoT for industry, environment monitoring, pollution control, surveillance and etc. There are already a vast number of literature works carried out on portraying WSN features and flexibilities concurrently focusing on uprising challenges in the context of possible future expansions. In this survey, authors consider the very persistent WSN metrics such as energy efficiency, latency and throughput to compare with some of the existing works. The work does also perform certain observations on existing machine learning techniques, optimization algorithms in developing particular WSN architecture in sectors like medical infrastructure, industrial process control, solid waste management and smart city construction to mention a few. The work highlights the significance of existing new age trends and strategic approaches of WSN infrastructure development","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124085901","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

Machine Learning Based Intrusion Detection Systems Using HGWCSO And ETSVM Techniques 基于机器学习的HGWCSO和ETSVM入侵检测系统

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767857

A. Srikrishnan, A. Raaza, S. Gopalakrishnan

引用次数: 0

Wearable Patch Antenna for GPS Applications 用于GPS应用的可穿戴贴片天线

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767881

S. Rajalakshmi, L. Pavithra, K. Rajeshwari, B. S. Dharshini

引用次数: 1