2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)最新文献_第3页

Predictive Technique To Improve Classification On Continuous System Deployment 改进连续系统部署分类的预测技术

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622682

Y. S. Dwivedi, Ganesh Semalty, Amit Moondra

{"title":"Predictive Technique To Improve Classification On Continuous System Deployment","authors":"Y. S. Dwivedi, Ganesh Semalty, Amit Moondra","doi":"10.1109/CONECCT52877.2021.9622682","DOIUrl":"https://doi.org/10.1109/CONECCT52877.2021.9622682","url":null,"abstract":"We introduce Last in First Focus (LIFF) approach for any system deployment. As per current market need most of the system deployment follow continues integration (CI) and continues deployment (CD) approach. In CI/CD, regular system release comes for deployment and it requires lot of post system deployment focus on last deployed or updated system. Continuous development, delivery and deployment is one of the essential parts of a product lifecycle. With addition of new features or major redesign with latest technology e.g. containerization, there may be sudden increase in tickets, which need to be handled effectively. When system does not perform expected behavior then system monitory module generates tickets. These tickets need to be analyzed and forward to corresponding department for resolution. With increase in number of tickets, more human resources may be required to perform this task. Here machine learning can provide helping hand in this job via analyzing the ticket and predicting the impacted system component for the resolution of ticket. The dataset collected after deployment of redesigned system component may be imbalanced due to more tickets on one system component only. This impacts the accuracy of classification metrics. This article resolved this problem by using Algorithmic level solution or Data level solution. Data level solution has achieved by oversampling of minority classes or under sampling of majority classes. Synthetic Minority Oversampling Technique, or SMOTE is used to address imbalanced dataset problem.","PeriodicalId":164499,"journal":{"name":"2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127659922","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

Forecast of Covid-19 Using Deep Learning 利用深度学习预测Covid-19

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622721

Ashritha Raj, Neha Ramesh Umrani, Shilpashree G R, Shaashwata Audichya, Ashwini Kodipalli, R. J. Martis

引用次数: 2

ION/IOFF Improvement for No Junction Surrounding Gate TFET with different high-k values 不同高k值无结环栅TFET的ION/IOFF改进

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622720

P. Vimala, Manjunath Bassapuri, Harshavardhan C R, Krishnan Maheshwari, Harshith P, Nitin N Raikar

引用次数: 1

Designing and Implementation Quantum Half Subtractor and Full Subtractor Using IBM Quantum Experience 利用IBM量子经验设计和实现量子半减法器和全减法器

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622531

M.G Nayana, H. Pooja, C. L. Triveni

引用次数: 0

Fast Obstacle Avoidance Motion in Small Quadcopter operation in a Cluttered Environment 小型四轴飞行器在混乱环境下的快速避障运动

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622631

Chaitanyavishnu S. Gadde, M. S. Gadde, N. Mohanty, S. Sundaram

{"title":"Fast Obstacle Avoidance Motion in Small Quadcopter operation in a Cluttered Environment","authors":"Chaitanyavishnu S. Gadde, M. S. Gadde, N. Mohanty, S. Sundaram","doi":"10.1109/CONECCT52877.2021.9622631","DOIUrl":"https://doi.org/10.1109/CONECCT52877.2021.9622631","url":null,"abstract":"The autonomous operation of small quadcopters moving at high speed in an unknown cluttered environment is a challenging task. Current works in the literature formulate it as a Sense-And-Avoid (SAA) problem and address it by either developing new sensing capabilities or small form-factor processors. However, the SAA, with the high-speed operation, remains an open problem. The significant complexity arises due to the computational latency, which is critical for fast-moving quadcopters. In this paper, a novel Fast Obstacle Avoidance Motion (FOAM) algorithm is proposed to perform SAA operations. FOAM is a low-latency perception-based algorithm that uses multi-sensor fusion of a monocular camera and a 2-D LIDAR. A 2-D probabilistic occupancy map of the sensing region is generated to estimate a free space for avoiding obstacles. Also, a local planner is used to navigate the high-speed quadcopter towards a given target location while avoiding obstacles. The performance evaluation of FOAM is evaluated in simulated environments in Gazebo and AIRSIM. Real-time implementation of the same has been presented in outdoor environments using a custom-designed quadcopter operating at a speed of 4.5 m/s. The FOAM algorithm is implemented on a low-cost computing device to demonstrate its efficacy. The results indicate that FOAM enables a small quadcopter to operate at high speed in a cluttered environment efficiently.","PeriodicalId":164499,"journal":{"name":"2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117284026","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 narrow band UHF filter bank using SAW TCRFs 使用SAW TCRFs的窄带UHF滤波器组

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622708

Yuvraj Lilhare, Santanu Sinha, NR Jivani

引用次数: 0

Real-time Violence Activity Detection Using Deep Neural Networks in a CCTV camera 闭路电视摄像机中基于深度神经网络的实时暴力活动检测

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622739

D. S, Sushant Govindraj, S. N. Omkar

引用次数: 0

Non-Contact Temperature Detection, Face Mask Detection, and Attendance Updation System using Facial Recognition Technique 使用面部识别技术的非接触式温度检测，面罩检测和考勤更新系统

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622352

Prajwal C Hegade, G. Toney, Nilesh B Markal, Amit P Sangolli

{"title":"Non-Contact Temperature Detection, Face Mask Detection, and Attendance Updation System using Facial Recognition Technique","authors":"Prajwal C Hegade, G. Toney, Nilesh B Markal, Amit P Sangolli","doi":"10.1109/CONECCT52877.2021.9622352","DOIUrl":"https://doi.org/10.1109/CONECCT52877.2021.9622352","url":null,"abstract":"As communities are suffering from the COVID-19 pandemic, cross-contamination of the virus between the employees is a huge risk factor. To mark the attendance of individual employees, the swiping cards or biometrics are normally in use. This can be an easy medium for the exchange of infection which leads to a widespread of the virus. Adding to this factor, not wearing a mask also contributes to the viral spread. This can be avoided using non-contact temperature assessment device. As a part of an initial inspection at entry points, this can be used to identify people who may have elevated temperatures which is indication of a possibility of a person who may have contracted the COVID-19 infection. While the device dispenses sanitizer on arrival, this is developed to replace the current method of manual temperature scanning that exposes front line workers directly to possibly infected persons during examination. Apart from detecting the temperature, the system also uses HOG algorithm for face recognition and updates the employee attendance. This rules out the spread of virus through swipe of card or biometrics. The system also detects if the employee is wearing a mask and ensures that COVID protocol of essential masking is guaranteed. If the employee has an elevated temperature then, the employee is referred to the on-campus physician, the appointment for which is automatically made using the system generated SMS for preliminary evaluation. If the employee needs further evaluation the physician updates the same in the database for processing medical leave.","PeriodicalId":164499,"journal":{"name":"2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127453098","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

Charge Pump with Low Current Mismatch for PLL Applications 电荷泵与低电流失配锁相环应用

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622662

D. Biswas

引用次数: 2

Field Portable 400 W Continuous-Wave Fiber Laser Source for Ordnance Disposal 用于军械处置的野外便携式400w连续光纤激光源

2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) Pub Date : 2021-07-09 DOI: 10.1109/CONECCT52877.2021.9622655

Theina Ros Joseph, Lunavath Mahesh, Renuka Sehgal, Ranu Tyagi

引用次数: 0