2023 International Conference for Advancement in Technology (ICONAT)最新文献_第7页

An Enhanced Network Security using Machine Learning and Behavioral Analysis 使用机器学习和行为分析增强网络安全

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080157

M. G. Haricharan, S. Govind, C. Kumar

{"title":"An Enhanced Network Security using Machine Learning and Behavioral Analysis","authors":"M. G. Haricharan, S. Govind, C. Kumar","doi":"10.1109/ICONAT57137.2023.10080157","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080157","url":null,"abstract":"With the advancement of the internet over the years, the number of attacks over the internet has also increased. A powerful intrusion detection system (IDS) is required to ensure the security of a network. A novel supervised machine learning system has been developed to classify network traffic, whether it is malicious or benign. To find the best model considering detection success rate, a combination of supervised learning algorithms and feature selection methods have been used. To evaluate the performance, the NSL-KDD dataset is used to classify network traffic using SVM and ANN supervised machine learning techniques. A comparative study shows that the proposed model is more efficient than other existing models with respect to intrusion detection success rate. Machine learning (ML) algorithms are frequently used to design effective attack detection (identity) structures for the effective mitigation and detection of malicious cyber threats at the host and community levels. Therefore, developing an accurate and sensible identification gadget will be a concern. The simulation results show that our projected achieving an excessive accuracy price of up to 97.52% for the dataset multiple times.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121518553","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

SVM-based Abnormal Operation Identification Method for Electric Heating Collaboration 基于svm的电加热协同异常运行识别方法

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10079996

Anqi Liang, Shuang Zeng, Yifeng Ding, Xianglong Li, Fulong He, Qi-meng Li

{"title":"SVM-based Abnormal Operation Identification Method for Electric Heating Collaboration","authors":"Anqi Liang, Shuang Zeng, Yifeng Ding, Xianglong Li, Fulong He, Qi-meng Li","doi":"10.1109/ICONAT57137.2023.10079996","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10079996","url":null,"abstract":"At present, regional clean energy supply with the core concept of \"electric heating collaboration, cross-network mutual aid\" has gradually become a mature energy solution, so ensuring the safety and stability of electric heating collaborative operation has become the top priority. In the process of anomaly identification, it is often difficult to obtain sufficient fault data, resulting in insufficient generalization ability of the trained model. Based on the typical architecture of regional electrothermal integrated functional system, this paper constructs the comprehensive simulation model of photovoltaic, heat pump, electric vehicle, battery and heat storage modules. Then, combined with the proposed fault simulation method, the required abnormal operation data is generated, and an abnormal operation recognition model based on SVM is proposed. Finally, the validity of the model is verified by the example analysis. This paper has a certain theoretical and numerical reference value for the monitoring of electrothermal cooperative operation anomalies.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125323676","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 Improved Method for the Data Cluster Based Feature Selection and Classification 一种改进的数据聚类特征选择与分类方法

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080669

K. Patidar, Rahul Gour, Anshu Dixit, M. Verma, A. K. Pal

{"title":"An Improved Method for the Data Cluster Based Feature Selection and Classification","authors":"K. Patidar, Rahul Gour, Anshu Dixit, M. Verma, A. K. Pal","doi":"10.1109/ICONAT57137.2023.10080669","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080669","url":null,"abstract":"The improved Support Vector Machine (SVM) algorithm and a Random Forest (RF) algorithm technique for the cluster-based feature selection and classification existed and were calculated. It has been calculated going on the Statlog Dataset. Missing values in clinical data is also a major issue faced by researchers. A four-stage missing value prediction model has been developed to handle missing values. The complete process includes Data cleaning, Feature selection, Train Validation, Parameter tuning, Model testing, Evaluating, Final classification, clustering and prediction. Support Vector Machine (SVM) algorithms have been put in for the data classification. It has been put in based on the class labels and more connect the correlations based on the heatmap. Logistic Regression (LR) machine learning algorithm is also used to estimate the association in the middle of a depending on variable and one or more independent variables, other than it is used to formulate a prediction about a categorical variable against a continuous one. Random Forest is a Supervised Machine Learning(ML) Algorithm that is used commonly in Classification and Regression problems. The results illustrate that the proposed system provided improved accuracy with random forest on the Statlog Dataset.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122951735","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 GeO2-doped Silica Ring-core Bragg Fiber for OAM Mode Propagation 一种用于OAM模式传输的掺杂二氧化硅环芯布拉格光纤

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10079965

Amogh A. Dyavangoudar, A. Saharia, G. Singh, Y. Ismail, A. Bourdine, M. Tiwari

引用次数: 0

Optimal Design and Economic Analysis of Biogas/Diesel/PV Power System for Electrification of Palm Oil Factory and Surround Settlements 棕榈油厂及周边居民点电气化沼气/柴油/光伏发电系统优化设计及经济分析

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080365

Rizki Aditio Pribadi, Syafii

引用次数: 0

Machine Learning Approach for Estimation and Novel Design of Stroke Disease Predictions using Numerical and Categorical Features 使用数值和分类特征的中风疾病预测的机器学习估计和新设计方法

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080722

S. Satapathy, A. Patel, Pushti Yadav, Y. Thacker, Dhaval Vaniya, Drashti Parmar

{"title":"Machine Learning Approach for Estimation and Novel Design of Stroke Disease Predictions using Numerical and Categorical Features","authors":"S. Satapathy, A. Patel, Pushti Yadav, Y. Thacker, Dhaval Vaniya, Drashti Parmar","doi":"10.1109/ICONAT57137.2023.10080722","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080722","url":null,"abstract":"Today, adequately trained machine learning algorithms can be significantly used in fields such as surveillance, medicine, and data management to identify and provide solutions to problems that do not have a solution answer current solutions are ineffective. A stroke is when blood arteries in the brain burst, harming the brain. It may also occur if the brain’s supply of nutrients and blood is interrupted. The severity of a stroke can be lessened by early recognition of numerous warning symptoms. This is a study using machine learning algorithms where children to adult age data have been taken in which we can extract data directly from their health report and after gathering all of the data, we run different algorithms models which will learn from this data and in future will show us how much is probability of you getting brain stroke. Five thousand people’s data were taken for processing, and we got that People with higher glucose levels are at increased risk of stroke, and high age Females are at risk of stroke. The machine learning algorithms we have considered are Random Forest Algorithm (RF), Decision Tree (DT), Support Vector Machine (SVM), and Logistic Regression (LR) Algorithm to train different models and compare the results for the best prediction model. Amongst all the algorithms, RF, LR, and SVM give us the best accuracy of 94.50% and 91.03% with the DT classifier. The Machine learning technique used in this article can assist medical professionals and patients with helpful analytical information and the probability of them getting a brain stroke in the future. Larger data sets and attribute selection strategies can enhance research with better accuracy, which can be achieved by taking data from the user’s input.”.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115219125","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

Continuous Time LQR Based Position Control for an Electro-Hydraulic Actuation System 基于连续时间LQR的电液作动系统位置控制

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080605

Ashok Kumawat, R. Kumawat, R. Rout, M. Rawat

引用次数: 0

Rain Effect on Satellite Communication’s Link Design in regions of P, N, and K with Logic design implementation 雨水对P、N、K区域卫星通信链路设计的影响及逻辑设计实现

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080160

Cyrus Nejat, Zahra Ziba Nazeri, Narsis Nejat, N. Nejat, Abdol Rasool Nejat

{"title":"Rain Effect on Satellite Communication’s Link Design in regions of P, N, and K with Logic design implementation","authors":"Cyrus Nejat, Zahra Ziba Nazeri, Narsis Nejat, N. Nejat, Abdol Rasool Nejat","doi":"10.1109/ICONAT57137.2023.10080160","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080160","url":null,"abstract":"There have been many investigations taken place how rain attenuation can affect satellite communications. The main concern is to how to implement the link design margin that meets the cost requirement. In this study, the author applied the logic design such courting register to satellite transponder while investigating rain attenuation effect on satellite communications. The investigation takes place in some parts of Brazil, Paraguay, Argentina countries, and Atlantic ocean; representing for P, N, and K regions. The specifications for uplink and downlink were identified for P, N, and K regions. The parameters of the technical satellite design, in particular DBS-TV system, were determined based on specifications of uplink and downlink. The link budgets were evaluated for uplink and downlink criteria in the regions. The link availability and outage in rain were determined in order to evaluate the capability of the system. The results are conducted with double converter QPSK DBS-TV transmitter for the uplink Earth station, double converter QPSK DBS-TV transponder of the satellite, and downlink Earth station receivers on the regions of P and N. The investigations are for 16 Ku-band transponders in order to evaluate Bit Error Ratio, carrier power per thermal noise power ratio, link outage for appropriate coding gain and implementation margin.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114835558","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

Face Mask and Body Temperature Scanning System for Covid-19 新型冠状病毒口罩体温扫描系统

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080641

Sneha Bamankar, Purva Bhoir, Sharli Pednekar, G. Phadke

{"title":"Face Mask and Body Temperature Scanning System for Covid-19","authors":"Sneha Bamankar, Purva Bhoir, Sharli Pednekar, G. Phadke","doi":"10.1109/ICONAT57137.2023.10080641","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080641","url":null,"abstract":"Coronavirus illness 2019 has had a major impact on the entire world over the past two to three years. One important approach for people’s protection is to wear masks in public. Furthermore, putting on a mask properly Many public service providers demand that users only utilise the service while properly wearing masks. Only a small number of studies have examined face mask identification using image analysis, nevertheless. We suggest Face Mask, a highly accurate and practical face mask detector, in this study. The suggested Face Mask is a one-stage detector that combines a novel context attention module for detecting face masks with a feature pyramid network to fuse high-level semantic information with various feature maps. We also provide a brand-new cross-class object removal method to reject and predictions with a high intersection of union and low confidence. Additionally, we investigate the viability of integrating Face Mask with a portable or embedded neural network called MobileNet. By utilising1)Contactless temperature sensing,2)we create a fack mask detection alarm system to boost COVID-19 indoor safety.Infrared sensor and contactless temperature sensing subsystems rely on Arduino Uno, while computer vision algorithms are used for mask identification.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117288211","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 Implementation of 4-QAM Transceiver on FPGA using MATLAB/SIMULINK Model 基于MATLAB/SIMULINK模型的FPGA 4-QAM收发器设计与实现

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080452

R. Muzammil

引用次数: 0