2021 4th International Conference on Computing and Communications Technologies (ICCCT)最新文献_第4页

Enhanced Quality Analysis of Fuel Tank Using Pressure Drop Method Using PLC and SCADA 基于PLC和SCADA的压力降法改进油箱质量分析

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711908

M. Nalinil, R. Gayathiri, V. Abirami, G. Aishwarya Lakshmi, D. Harini

引用次数: 0

TARS- AI based PersonalAssistant 基于人工智能的个人助理

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711890

D. Prabhu, ArnabGoswami, Senthil Murugan Nagarajan, M. Ananthi

引用次数: 0

Epileptic seizure Classification using EEG Signal 利用脑电图信号进行癫痫发作分类

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711791

B. Shadaksharappa, P. Ramkumar

{"title":"Epileptic seizure Classification using EEG Signal","authors":"B. Shadaksharappa, P. Ramkumar","doi":"10.1109/ICCCT53315.2021.9711791","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711791","url":null,"abstract":"Nowadays, there are many diseases which are very dangerous and cause death to our life since it may affect an important organs of a human body. One of such a dangerous disease is epileptic seizure. Since it will affect our brain and leads to death. So, there are many techniques have been proposed already to classify this disease. But those are not that much of an efficient to classify this epileptic seizure. Since, the mind is consistently dynamic with trade of electrical signals, which might be caught by electroencephalograph (EEG). In the EEG the electrical activity of neuron is reflected as like the wave pattern. These EEG signals have been contaminated by noise due to the environment factors. There is an extreme need to eliminate these noises prior to utilizing the wave as input to any diagnostic systems. So, this system proposed the utilization of daubechies wavelet (db8) to eliminate the noises and artefacts. In decomposition of eighth level there are Five frequency bands have been mined. The attributes such as minimum, variance, kurtosis, maximum, entropy, skewness, median, standard deviation, energy, frequency, mode, mean, phase magnitude have been extracted from the regenerated signal. The classifier will take these attributes as an input and classify the affected person from others.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130544504","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

Prediction of crop harvest soil composition using vector distance analysis And multi linear regression 基于向量距离分析和多元线性回归的作物收成土壤成分预测

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711777

R. Priyadarshini, N. Rajendran, P. Joshi, P. Sharmila, G.Matheen Fathima

{"title":"Prediction of crop harvest soil composition using vector distance analysis And multi linear regression","authors":"R. Priyadarshini, N. Rajendran, P. Joshi, P. Sharmila, G.Matheen Fathima","doi":"10.1109/ICCCT53315.2021.9711777","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711777","url":null,"abstract":"For many decades, agriculture is involved in high-quality of crop productions and plays vital role in the world's economy. Many factors affect the agriculture in direct and indirect ways. The optimization of agriculture production is implemented in many ways like finding the appropriate location for the cultivation of crops and forecasting the harvest based on the factors in farm fields etc., It is calculated by collecting the past crop data from the fields and data sets are generated using the discrete data, which provides significant information to increase the harvest of crops. The proposed system is aimed at improving the prediction accuracy. We have implemented “Single Prediction Algorithm” in order to increase the accuracy by pruning the unwanted data and extracting only the valuable data. The accurate preferred factor is calculated by applying vector distance method. Then the multi linear regression is applied on the newly generated data and old collected data simultaneously to better predict the crop harvest. By simply improving the data set and producing new improved values from the existing data set the multi linear regression is able to predict with high accuracy. The humidity in the soil is taken as one of the factor in the agriculture. The weather elements are also taken in to account with the help of temperature parameter. The semantic processing of the historical data predicts the humidity, weather, temperature and growth rate of the crops and plants. The prediction of these parameters detects the exact growth rate in the available rates. The sematic processing of features selected helps to identify exact numerical values which are further used for liner regression techniques. The percentage of growth rate is 95% in the case of prediction and recommendation of manipulating the historical values.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130949456","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

Proceedings of the 2021 4th International Conference on Computing andCommunications Technologies (ICCCT) 第四届计算与通信技术国际会议(ICCCT)论文集

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/iccct53315.2021.9711864

引用次数: 0

Sleep Calibre Assess Model of IT Workers by Machine Learning Algorithms 基于机器学习算法的IT工作者睡眠质量评估模型

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711805

P. Vichitra, S. Mangayarkarasi

引用次数: 0

Intelligent Outlier Detection with Optimal Deep Reinforcement Learning Model for Intrusion Detection 基于最优深度强化学习模型的智能离群点入侵检测

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711837

S. G. Mohana Priya, K. PradeepMohankumar

{"title":"Intelligent Outlier Detection with Optimal Deep Reinforcement Learning Model for Intrusion Detection","authors":"S. G. Mohana Priya, K. PradeepMohankumar","doi":"10.1109/ICCCT53315.2021.9711837","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711837","url":null,"abstract":"Intrusion detection system (IDS) acts as an essential part to detect malicious activity in the cyber domain. Earlier works on IDS are mainly based on statistical, machine learning (ML), and deep learning (DL) approaches. Since deep reinforcement learning (DRL) becomes an emerging research area, it can be employed for intrusion detection and thereby accomplishes security in the present digital world. This paper focuses on the design of intelligent outlier detection with optimal deep reinforcement learning (IOD-ODRL) technique for intrusion detection. The proposed IOD-ODRL technique encompasses an Isolation Forest (iForest) based outlier detection approach to eliminate the existence of outliers in the test data. Besides, optimal Q-learning based DRL technique is employed for the detection and classification of intrusions. Moreover, the learning rate of the DRL technique is optimally chosen by the use of sandpiper optimization (SPO) algorithm. Furthermore, the design of outlier detection and SPO based learning rate selection results in improved detection performance. In order to investigate the superior performance of the IOD-ODRL technique, a wide range of simulations take place on benchmark datasets. The experiment results indicated that the betterment of the IOD-ODRL model interms of several metrics.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116148297","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: 3

Survey of Machine Learning and Deep Learning Approaches on Sales Forecasting 销售预测中的机器学习和深度学习方法综述

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711878

M. P. Alagu Dharshini, S. Antelin Vijila

引用次数: 2

A Survey on Event Detection Models from Geo Tagged Twitter Stream 地理标记Twitter流事件检测模型综述

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711759

N. V, Suresh Jaganathan

引用次数: 0

A Blockchain Framework for secure Digital Identity transactions in Indian Agri-subsidy system: Issues, challenges and benefits 印度农业补贴体系中安全数字身份交易的区块链框架:问题、挑战和利益

2021 4th International Conference on Computing and Communications Technologies (ICCCT) Pub Date : 2021-12-16 DOI: 10.1109/ICCCT53315.2021.9711868

Savita Bakare, Suneel C Shinde, Roopa Hubballi

{"title":"A Blockchain Framework for secure Digital Identity transactions in Indian Agri-subsidy system: Issues, challenges and benefits","authors":"Savita Bakare, Suneel C Shinde, Roopa Hubballi","doi":"10.1109/ICCCT53315.2021.9711868","DOIUrl":"https://doi.org/10.1109/ICCCT53315.2021.9711868","url":null,"abstract":"The Agriculture mechanization plays a critical role in increasing agricultural productivity and consequently rural prosperity. The Government of India (GOI) and in particular the Department of Agriculture and Farmers welfare (DAC&FW), ministry of agriculture has taken up initiatives to help farmers by sanctioning subsidy to procure modern farming tools and equipment's using direct cash transfer scheme. The current technological solutions/implementations of this scheme in India, suffers from various issues such as data duplication and fragmentation, insecurity, verification, inefficacy to trace reliable subsidy provenance and subsidy distributions. Hence, amidst existing technologies blockchain blends as a multifaceted technology to provide secure traceability, immutability and trust creation between the parties involved. Blockchain enables more secure management and storage of digital identities using robust smart contracts solutions to fulfill the trust creation between the stakeholders. The stakeholders who are the part of this process are the Farmer, Government of India and Department of Survey and Land Records. In this article, we put forward a blockchain based smart-contracts on digital identity management system model to identify, authenticate and authorize the stakeholders to record and access services from ledger. We also provide an analysis of the current issues faced by these stakeholders and also highlight the key issues, challenges and benefits involved in deployment of an identity systems.","PeriodicalId":162171,"journal":{"name":"2021 4th International Conference on Computing and Communications Technologies (ICCCT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123613481","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