2022 International Conference for Advancement in Technology (ICONAT)最新文献_第8页

Design of Combinational Logic Circuits using Simulated Annealing 组合逻辑电路的模拟退火设计

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9725890

Pavitra Y J, Jamuna S, M. J, Arun E

引用次数: 1

A CPW Fed Printed Antenna for Gain and Directivity Improvement using Frequency Selective Surface Reflector 一种利用频率选择表面反射器提高增益和指向性的CPW馈电印刷天线

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9726118

Harikrishna Paik, C. Kumar, S. Mishra, Smrutisree Paik

引用次数: 1

Face Recognition utilizing Novel Face Descriptor & Algorithm of Feature Extraction 基于新型人脸描述符的人脸识别及特征提取算法

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9726013

S. M. Nejrs

{"title":"Face Recognition utilizing Novel Face Descriptor & Algorithm of Feature Extraction","authors":"S. M. Nejrs","doi":"10.1109/ICONAT53423.2022.9726013","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726013","url":null,"abstract":"Face recognition is generally considered exploration issue since from most recent twenty years due its significance in biometric confirmation applications. Accordingly, with propels in face catching gadgets face recognition frameworks should be versatile to precise play out the face recognition. For productive face recognition, there various conditions ought to be in contemplations like low goal face pictures, facial feelings, diverse enlightenment conditions like shades. This paper proposed novel way to deal with play out the powerful and effective face recognition paying little heed to face picture quality and enlightenment conditions. We planned the novel face descriptor strategy dependent on half and half neighbourhood heading number (HLDN) to address the issue of various picture brightening conditions and bad quality pictures. The HLDN descriptor is made out of face picture pre-handling utilizing versatile Gaussian sifting utilizing distinction of Gaussian (DoG) and face descriptor age utilizing Kirsch compass veils to produce the directional code for each face picture. The Kirsch administrator deteriorate face picture into 8 distinct bearings and create the exceptional face descriptor. After the face descriptor age, we separated and combined the 2D-DWT and histogram based highlights. We separated both single and staggered histograms to improve the recognition exactness. We applied the Principal part investigation (PCA) to create last picture highlight vector. PCA assists with advancing the recognition execution. The proposed strategy is assessed with various face datasets utilizing ANN classifier. The exhibition of proposed strategy is improved when contrasted with against condition of-craftsmanship strategies.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114212263","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

Developing a framework of beta cryptosystem based on Santilli's isofields second-kind 基于Santilli的第二类等场开发了一个beta密码系统框架

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9726000

A. Meshram, R. Pohane, Roshani I. Thakre

引用次数: 2

A Proposed Bi-LSTM Method to Fake News Detection 基于Bi-LSTM的假新闻检测方法

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9725937

Taminul Islam, M. Hosen, Akhi Mony, Md Musleh Uddin Hasan, Israt Jahan, Arindom Kundu

引用次数: 8

A Review on Digital Coin Investing Predictor 数字货币投资预测器综述

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9726092

Rane Nikita, S. Subhashini, Yashwin B S, Vishal K Vavle, Darshan A

{"title":"A Review on Digital Coin Investing Predictor","authors":"Rane Nikita, S. Subhashini, Yashwin B S, Vishal K Vavle, Darshan A","doi":"10.1109/ICONAT53423.2022.9726092","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726092","url":null,"abstract":"Cryptocurrency is a computerized method of money where transactions are done in the cyber space. This is a digital/soft currency, unlike currency notes they are not hard copies. Emphasizing the varieties of currencies that are decentralized and do not have any third party involvement, therefore ensuring that users can get all the services. Because of the high volatility the currency impacts the international trade and relations. Etherium, Ripple, Bitcoin, Litecoin some examples of popular currencies that exists. The study on popular cryptocurrencies Bitcoin, Ripple, Etherium are performed every year. An effective way to improve the method of predictions using deep learning models namely Grated Reccurrent Unit (GRU) and Long Short-Term Memory (LSTM). The research is devoted to the problems related to predicting crypto currency prices using machine learning and data science. The main algorithms used are: RNN and GRU. The data set will include the past price information from the popular crypto currencies for example: Bitcoin, Ethereum and Ripple. LSTM, RNN and GRU algorithms already exist to predict the future price action but the predictability rate is subpar. The main goal is to combine RNN and GRU Algorithms to form a hybrid and possibly increase the accuracy of the predictions.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123317881","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

Identification of Speech Features relevant for COVID-19 Detection in Real Time Scenario 实时场景下COVID-19检测相关语音特征识别

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9725840

Sougatam Das, Bishal Nahak, K. Nathwani

{"title":"Identification of Speech Features relevant for COVID-19 Detection in Real Time Scenario","authors":"Sougatam Das, Bishal Nahak, K. Nathwani","doi":"10.1109/ICONAT53423.2022.9725840","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725840","url":null,"abstract":"The world's biggest pandemic, COVID-19, has shown its lethal impact on human life. The current diagnostics methods are reverse transcription-polymerase chain reaction (RT-PCR) and rapid diagnostic assays have several bottlenecks in terms of the nature of sample collection as it needs some laboratory experts and careful handling of the potentially infectious samples. However, one of the non-invasive ways of diagnostics is to focus on speech modality, which has been paid less attention, during the detection of COVID-19. Hence in this work, the speech features, particularly temporal and spectral features have been studied for COVID-19 detection. The temporal features used in this work are Short-Time Energy, Long-Term Log Energy Variation (LTLEV) Zero Crossing Count (ZCC) and Pitch etc. On the other hand, the spectral features used herein are Power Spectral Density, Average Power, Mel-Frequency Cepstral Coefficients, Group delay spectrum, Spectral Entropy etc. Such spectral and temporal speech features have not been analyzed in the identification of COVID-19 symptoms to the best of authors knowledge. Further, this paper has shown the impact of COVID-19 on a real time human voice, analyzed using speech processing techniques, and shown their efficacy in detecting COVID-19. These features are safe, comparatively faster, cost-effective, and require fewer complexities. Our article will motivate the scientific community to use such features for further research in the collective battle against COVID-19.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122974578","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

Application of JAYA Algorithm in Active Power Loss Reduction in Distribution System JAYA算法在配电系统有功损耗降低中的应用

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9725963

Sangeeta DebBarman, R. Roy, K. Namrata

{"title":"Application of JAYA Algorithm in Active Power Loss Reduction in Distribution System","authors":"Sangeeta DebBarman, R. Roy, K. Namrata","doi":"10.1109/ICONAT53423.2022.9725963","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725963","url":null,"abstract":"In this paper, a new metaheuristic techniques i.e JAYA Algorithm is suggested to determine the size optimally and locate the shunt capacitors for compensation of active power in distribution system. Radial distribution system is becoming vital in transmission of power from power station to customers. So, radial distribution system suffers real power loss and low bus voltages. This issue can be solved by adding capacitors at optimal location to lower active power losses and to upgrade the voltage profile while satisfying constraints of radial distribution system. Determination of stable size and location of capacitors optimally in distribution system is a complicated optimization problem. So, it requires a different approach. The main function is power loss minimization which is determined by optimal sizing of capacitor. In the paper the proposed algorithm is incorporated for solving the problem and the work has been simulated in IEEE 33 bus system and IEEE69 bus system with single node injection and triple node injection of capacitors. The results of the suggested algorithm are analyzed with other existing optimization algorithm in respect of up- grading the voltage profile and reducing the power loss.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122018641","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, Analysis and Fabrication of Dual Band Microstrip Patch Antenna for (L2) Band GPS and WiFi Applications 用于(L2)频段GPS和WiFi应用的双频微带贴片天线的设计、分析与制作

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9725872

Wai Mar Oo, H. Tun, Tint May Nway, Devasis Pradhan, P. K. Sahu, Z. Naing

引用次数: 1

A Slot Loaded Balanced Antipodal Vivaldi Antenna for Electronic Warfare Applications 用于电子战的槽负载平衡对映维瓦尔第天线

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9725918

K. Premchand, A. J. Rani, K. R. Devi

引用次数: 1