2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)最新文献

Look After: A Context-Aware Mobile Computing Based Smart Agent to Manage Personal Events 照看:一个基于上下文感知移动计算的智能代理来管理个人事件

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Pub Date : 2022-10-07 DOI: 10.1109/GCAT55367.2022.9971827

Bilas Halder, Md. Hridoy Chowdhury, Md. Saidur Rahman Kohinoor

{"title":"Look After: A Context-Aware Mobile Computing Based Smart Agent to Manage Personal Events","authors":"Bilas Halder, Md. Hridoy Chowdhury, Md. Saidur Rahman Kohinoor","doi":"10.1109/GCAT55367.2022.9971827","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9971827","url":null,"abstract":"Look-After is a mobile-based smart assistant which ensures effectiveness and simplicity to use. It enables the user to keep track of all of his tasks and events in a personalized manner. This virtual agent learns about users' context based on the information acquired from their email and contacts in terms of their proper authorization and permission. By utilizing these learnings, it automatically detects any future events, schedules, or appointments the user has and dynamically generates a task in the application to act as an online guide and notify the user on time. Along with other features, this application can serve as a one-stop service for all its user schedule management. With progressively being shared our communication and information online, this type of smart agent which can dynamically understand its user's schedule would be a great help and streamlined. Due to the simple UI/UX and requirements, any user or even organization can easily adapt to the system. When it gets merely the read-only rights of a user's email, the smart app can work on detecting keywords with the help of our pre-defined Regular Expression (RegEx) to identify any upcoming events/tasks. This also leaves room for the use of Machine Learning to generate more precise keywords, that can better identify possible schedules of the user. Our work suggests a context-aware mobile computing-based environment, where the user will be made aware of his schedules beforehand, and be part of a social environment, where activities can be shared and discussed with others according to convenience.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115318468","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 Energy-Efficient Conditional-Boosting Flip-Flop with Conditional Pulse for Low Power Application 一种低功耗条件脉冲的节能条件增强触发器

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Pub Date : 2022-10-07 DOI: 10.1109/GCAT55367.2022.9972127

Dipali Patidar, A. Mishra, D. Vaithiyanathan, B. Kaur

引用次数: 0

Analysis and Implementation of a Low Power Sense Amplifier based flip flop with symmetric latch design 基于对称锁存器设计的低功率感测放大器触发器的分析与实现

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Pub Date : 2022-10-07 DOI: 10.1109/GCAT55367.2022.9972071

Sushmita Kumari, B. Kaur, D. Vaithiyanathan, A. Mishra

引用次数: 0

Energy and Power analysis of SE-6T SRAM based on MOS and FINFET Technology on 32nm 基于32纳米MOS和FINFET技术的SE-6T SRAM能量和功耗分析

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Pub Date : 2022-10-07 DOI: 10.1109/GCAT55367.2022.9971869

Pragati Balaji Kendre, P. Tasgaonkar

引用次数: 0

Gene selection using Moth Flame algorithm and classification of Gene Expression Dataset 基于蛾焰算法的基因选择与基因表达数据集分类

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Pub Date : 2022-10-07 DOI: 10.1109/GCAT55367.2022.9972212

K. K. R., Akshay Venugopalan, Sakhil Devan

{"title":"Gene selection using Moth Flame algorithm and classification of Gene Expression Dataset","authors":"K. K. R., Akshay Venugopalan, Sakhil Devan","doi":"10.1109/GCAT55367.2022.9972212","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9972212","url":null,"abstract":"We gather enormous volumes of data to train a model, which aids a machine's ability to learn better. Not all of this data, though, will be applicable to the model. Classes or parts of the data can be removed if they don't significantly improve our model. The model may run slowly if there is too much extra data. It's also likely that the model will become erroneous as a result of learning from this unimportant data. By using only pertinent data and removing irrelevant data, feature selection reduces the input variable of the model. Using feature selection, we may improve our model in a number of ways, including preventing over-fitting and learning from noise, increasing accuracy, and cutting training time. Three types of feature selection methodologies―the filter technique, the wrapper approach, and the embedded method―have been developed throughout the years. In this study, we present the Moth Flame Optimization Method (MFOA) algorithm for gene selection from the Gene Expression dataset. A population-based algorithm with natural inspirations is called the Moth Flame Optimization Algorithm (MFOA). It takes its cues from how moths behave in the wild. The Moth Flame Optimization Algorithm (MFOA) can converge more Quickly and requires less compute than earlier methods.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125833226","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

Method of Analysing a Metamaterial Unit Cell with Square and Hexagonal Shaped Waveguide Setup for Accuracy 方形和六角形波导对超材料单元胞的精度分析方法

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Pub Date : 2022-10-07 DOI: 10.1109/GCAT55367.2022.9971898

S. Rajasri, D. R. Gandh, D. Vijayalakshmi

引用次数: 0

Design and Manufacturing of Non-Invasive Ventilation System Connected with Remote Monitoring App for Oxygen Saturation Surveillance of COVID-19 Patients 连接新型冠状病毒肺炎患者血氧饱和度远程监测App的无创通气系统设计与制造

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Pub Date : 2022-10-07 DOI: 10.1109/GCAT55367.2022.9972019

Shariff Aspilcueta, F. Tello, Ruben Panduro, Carlos Tello, R. Palomares, Jose Cornejo

{"title":"Design and Manufacturing of Non-Invasive Ventilation System Connected with Remote Monitoring App for Oxygen Saturation Surveillance of COVID-19 Patients","authors":"Shariff Aspilcueta, F. Tello, Ruben Panduro, Carlos Tello, R. Palomares, Jose Cornejo","doi":"10.1109/GCAT55367.2022.9972019","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9972019","url":null,"abstract":"The struggle against COVID-19 in Peru began in early March of 2020. Because of management within the health care system, the situation has been getting worse, reaching 3.57 million infected people and 61,477 deaths to date. However, because of evolving technology, it has been possible to find strategies that may be able to provide a solution to the problem while supporting both the medical staff and patients. For these reasons, this innovative project was carried out in 2020, with the support of the IEEE URP Student Branch. As a result, a non-invasive ventilation system with remote monitoring of saturation was manufactured by students of Mechatronics Engineering, belonging to the Ricardo Palma University. This project was the winner of 2020 IEEE XXVII International Conference of Electronics, Electrical Engineering and Computing (INTERCON), being the most important low-cost biomedical application in the country. The research was carried out to increase the oxygen saturation in patients with COVID-19 and decrease the number of contagions in health personnel due to constant exposure to this disease. This study presents the design of the ventilation system, where Autodesk Inventor was used to create a model of the Snorkel mask and its components, the programming was performed in Arduino IDE, and the information collected was sent to the application created through the program Kodular. In conclusion, the results achieved were favorable for the patients in the Virgen de Fatima Regional Hospital in Chachapoyas, Peru. Consequently, the next step for the project is to continue its development and donate the masks to hospitals and other institutions and aid them in combating COVID-19.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126115267","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

MPTR: Multi-Parameter based Travel Time Reduction for Emergencies MPTR:基于多参数的紧急旅行时间减少

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Pub Date : 2022-10-07 DOI: 10.1109/GCAT55367.2022.9972075

A. Mukhopadhyay, R. A, Gunashree B

{"title":"MPTR: Multi-Parameter based Travel Time Reduction for Emergencies","authors":"A. Mukhopadhyay, R. A, Gunashree B","doi":"10.1109/GCAT55367.2022.9972075","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9972075","url":null,"abstract":"Modern cultures struggle with a lot of congestion. Congestion on road increases travel time and costs while also having a significant impact on the environment. We propose a system for optimizing fire engine travel time based on constraints such as road type, speed, vehicle density, and vehicle type and the length of each path. One type of mobile network is the Vehicular Ad-hoc Network (VANET). This paper proposes a Multi-Parameter Travel Time Reduction Method [MPTR] algorithm for reducing fire engine travel time. This proposed algorithm seeks to select the optimal path from a list of various options based on parameters such as road type, speed, and distance. The time of day, vehicle type, distance between paths, and other factors are all taken into account. This is simulated using the open-source simulator SUMO. Traffic flow in SUMO is a multimodal, open source, microscopic system. It enables the user to simulate how a specific traffic demand performance on a given road network would look. When it comes to choosing the best path and avoiding crowded areas, MPTR shows promising results. It was discovered that when MPTR is used, travel time decreases gradually. According to the computed results, the MPTR algorithm outperforms in terms of performance, dependability, duration, distance, and throughput.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123329892","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

Random Error Detection and Correction Codes for Multiple Bits 多比特随机错误检测和纠错码

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Pub Date : 2022-10-07 DOI: 10.1109/GCAT55367.2022.9972031

Sridevi Gamini, Amala Yelamanchili

{"title":"Random Error Detection and Correction Codes for Multiple Bits","authors":"Sridevi Gamini, Amala Yelamanchili","doi":"10.1109/GCAT55367.2022.9972031","DOIUrl":"https://doi.org/10.1109/GCAT55367.2022.9972031","url":null,"abstract":"The utilization of error-correction codes (ECCs) in conjunction with the most recent correction capabilities may be a general design level strategy for making memories more resistant to Multiple Bit Upsets (MBUs). This general strategy led to the problem in developing the algorithm that gives us advanced error correction and low redundancy, mainly with adjacent ECCs. Up to 3 bit burst error correction is only possible with the existing technologies that go hand in hand with the MBU's mainly due to the scaling factors and the decrement in the distance of cell interval. With this, it is clear that the previous technologies are not meeting the application reliability requirements especially in unfavorable conditions. In order to provide a novel approach even in unfavorable conditions, an algorithm is proposed with existing Burst Error Correction (BEC) codes with Multibit Error Correction (MBEC). Initially the planning methods are defined following a search algorithm to search out the codes which accommodates the proposed methods. The H matrix which is obtained and evaluated relative to the 3 bit BEC along with MBEC is presented. Check bit comparison for no additional redundancy is done with respect to 3 bit BEC. Enhancement in the performance is observed with the application of new algorithm in 3 bit BEC when compared to previous codes. Xilinx ISE library is used to implement encoders and the decoders. This implementation provides us with additional information in terms of total area improvement and a delay mechanism for realizing correction abilities.","PeriodicalId":133597,"journal":{"name":"2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115093276","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

Classification of Music Genre Using Machine Learning 使用机器学习的音乐类型分类

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) Pub Date : 2022-10-07 DOI: 10.1109/GCAT55367.2022.9972105

Isha Pathania, Navpreet Kaur

引用次数: 0