2022 International Conference for Advancement in Technology (ICONAT)最新文献_第7页

Artificial Intelligence and Technological Development in Behavioral and Mental Healthcare 人工智能与行为和心理健康的技术发展

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9726100

Khushi Yadav, Y. Hasija

{"title":"Artificial Intelligence and Technological Development in Behavioral and Mental Healthcare","authors":"Khushi Yadav, Y. Hasija","doi":"10.1109/ICONAT53423.2022.9726100","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726100","url":null,"abstract":"The world is witnessing an increase in mental disorders and with the current rate, this is expected to rise. Physiological, environmental, and biological factors combined play an essential function in causing mental illnesses. As a matter of fact, if mental health problems are not addressed properly, it will give rise to a tremendous burden of diseases around the globe because with estimated surveys, one in five adults worldwide is already suffering from mental disorders. Leveraging artificial intelligence techniques allows formulating risk models for determining an individual's risk of developing mental illness and provides the potential for the betterment of pre-diagnosis screening tools. People who are unaware of the term AI may picture intelligent machines as driverless cars, drones, or ironman suits while others might imagine it as some sort of mysterious robotic computer confined to scientific advancement which will emerge in the future eventually. But the psychological and mental healthcare are also getting benefits from the development in AI such as computer work for studying, recognizing and analyzing that can help doctors with identifying the diseases and treat the patient accordingly. Instead of therapists, artificially intelligent virtual humans are also being used nowadays that can communicate with care searchers and come up with treatment solutions. In the review, modern hi tech advancements are highlighted in order to display appearing potentiality and to furnish a glance of innovations on the outlook. Many practical benefits have also been discussed afterward which machine technology introduce to psychological well-being care accompanying further deliberations.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"18 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":"125279116","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

Fruit Harvesting Robot Using Computer Vision 使用计算机视觉的水果收获机器人

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9726126

S. Mangaonkar, R. Khandelwal, Saquib Shaikh, Sameep Chandaliya, Shrenik Ganguli

引用次数: 4

A Review on IoT and ML Enabled Smart Grid for Futurestic and Sustainable Energy Management 面向未来和可持续能源管理的物联网和机器学习智能电网综述

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9725932

Jitendra Managre, Navita Khatri

{"title":"A Review on IoT and ML Enabled Smart Grid for Futurestic and Sustainable Energy Management","authors":"Jitendra Managre, Navita Khatri","doi":"10.1109/ICONAT53423.2022.9725932","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725932","url":null,"abstract":"The Smart Grids (SG) are the upgraded version of classical power grid, which involve the communication infrastructure, big data, and machine learning technologies to improve the productivity and management of power demand and supply. The use of machine learning empowers the smart grids to proactively deal with the emergency situations. In this context, a review to explore the utilization of ML techniques in SGs have been provided. Next, the collected literature has identified the research opportunities and also studied the relevant solutions. Finally, the objectives for future studies have been proposed. Among them it has been tried to establish our initial objectives of studying the ML algorithms and the application of ML is smart grid. In addition, an experimental performance study among three machine learning algorithms namely Support Vector Machine (SVM), Artificial Neural Network (ANN) and Linear Regression (LR) has been carried out. The aim of employing these algorithms is to predict the appliances power demand in Home Area Network (HAN). The experimentation of variable size of datasets shows that the ANN is beneficial for deal with the large amount of data and superior than the SVM and LR based approach in prediction accuracy and training time requirements.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"16 18 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":"125608640","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

Neural Network Aided Kalman Filter to Maximize Accuracy 神经网络辅助卡尔曼滤波，最大限度地提高精度

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9726059

Varun Niraj Agarwal, Avaneesh Kanshi, N. Melarkode, Hemanth Krishna, M. Hota

引用次数: 0

Grape Yield Prediction using Deep Learning Regression Model 基于深度学习回归模型的葡萄产量预测

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9726026

D. Barbole, Parul M. Jadhav

引用次数: 2

Integration of Grid System with Single Stage PV Inverter using Hardware in the loop Simulation 电网系统与单级光伏逆变器集成的硬件在环仿真

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9725842

Suyash Binod, Abhishek Baluni, Sudhanshu Maurya, Aayush Srivastava, Sudipto Poddar, Y. P. Verma

引用次数: 0

Time-Frequency Analysis Tool for Intelligent Condition Monitoring Diagnostics 智能状态监测诊断时频分析工具

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9725824

Prerna Sarkar, V. Chilukuri

{"title":"Time-Frequency Analysis Tool for Intelligent Condition Monitoring Diagnostics","authors":"Prerna Sarkar, V. Chilukuri","doi":"10.1109/ICONAT53423.2022.9725824","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9725824","url":null,"abstract":"Real-time condition monitoring is vital to prevent sudden failure and breakdown of critical power plant equipment. It leads to substantial financial loss due to service disruption, equipment damage, repair, and restart. Despite existing condition monitoring technology and adequate safety guidelines, many accidents have led to the sudden failure of power plant equipment, including electrical switchgear, in recent years. It is crucial to detect minor defects at the earliest to prevent them from turning into significant machine/equipment failures, which can lead to an unwanted outage in production and increase maintenance costs. An efficient condition monitoring technique can provide warnings and predict the faults at early stages by obtaining information about the machine in primary data. Currently, significant industries are relying on time-domain or frequency-domain analysis alone. The problem here is that these two approaches fail to yield accurate results for fault/transient signals due to their nonstationary nature. To overcome these limitations and obtain better information such as time of occurrence of specific abnormal frequencies using advanced single processing techniques, the authors developed an advanced Time-Frequency Analysis (TFA) Graphical User Interface (GUI) tool in MATLAB. This paper presents an innovative method to study condition monitoring both for offline and online analysis. It has been tested for robustness with fault data under normal as well as noisy conditions. The success of the proposed technique helps to develop an intelligent condition monitoring and diagnostic tool for intelligent health monitoring.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"51 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":"134171211","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

Taxonomy of Routing Protocols 路由协议的分类

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9725905

K. Sharma, Himanshu Anand, Himanshu Nandanwar, Anamika Chauhan

引用次数: 1

Fuzzy Logic Controller Based Power Management Scheme with Enhanced Stability for a Solar Panel/Wind Turbine Generator/Fuel Cell/Batteries/Power Supply Designed for Industrial Loads 基于模糊逻辑控制器的电源管理方案与增强稳定性的太阳能电池板/风力发电机/燃料电池/电池/电源设计用于工业负载

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9725994

Nikita Omase, Sangita B. Patil, Rupali Parabhane

引用次数: 0

Analysis of Signal Integrity in Coupled MWCNT and Comparison with Copper Interconnects 耦合MWCNT信号完整性分析及与铜互连的比较

2022 International Conference for Advancement in Technology (ICONAT) Pub Date : 2022-01-21 DOI: 10.1109/ICONAT53423.2022.9726011

B. Gugulothu, B. Naik

{"title":"Analysis of Signal Integrity in Coupled MWCNT and Comparison with Copper Interconnects","authors":"B. Gugulothu, B. Naik","doi":"10.1109/ICONAT53423.2022.9726011","DOIUrl":"https://doi.org/10.1109/ICONAT53423.2022.9726011","url":null,"abstract":"In this paper, the crosstalks induced effects are explored in mutually coupled multi-walled carbon nanotubes (MWCNTs) interconnect lines driven by CMOS gates. The crosstalk delays and the peak voltages on the victim line for functional and dynamic crosstalk are investigated. The analyzes has been done for multiwalled carbon nanotubes and copper on-chip interconnects for 22nm technology node. The results show that exploiting the MWCNT interconnects instead of Cu leads to 61.35% shorter functional crosstalk delay, 12.80% lower functional crosstalk voltage and 59.14% lower dynamic in-phase crosstalk delay and 67.38% lower dynamic out-phase crosstalk delay. For different load capacitances utilizing the MWCNT interconnects instead of Cu leads to 62.79% shorter functional crosstalk delay, 63.54% lower dynamic in-phase crosstalk delay and 68.24% lower dynamic out-phase crosstalk delay. The simulation results show that the MWCNT is significantly highly efficient than conventional copper (Cu) on-chip interconnects. It is observed the results shows that the MWCNT are more fit for very large-scale integration system as compared to the Cu.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"112 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114003051","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