2023 7th International Conference on Computing Methodologies and Communication (ICCMC)最新文献_第10页

Person Re-Identification using Deep Learning 使用深度学习的人员再识别

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083656

Ananthi N, Adarsh N L, A. M, A. G.

{"title":"Person Re-Identification using Deep Learning","authors":"Ananthi N, Adarsh N L, A. M, A. G.","doi":"10.1109/ICCMC56507.2023.10083656","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083656","url":null,"abstract":"Person re-identification is a task which is used to search the particular person captured in one camera vision against a set of images captured in other camera visions. When aprobeimageisgiven,theperson re-identification model has to find theclosestmatches to the probe image from gallery images and arrange the gallery images according to the similarity score. This task has challenges because of variations in lighting, pose, background clutter, scale, occlusions and similar clothing. The primary goal of this research work is to enhance the performance of the person re-identification model in terms of identification rate at RankI and mean Average Precision (mAP). To achieve this goal and overcome the limitations, the research objectives were framed to develop an unsupervised person re-identification model to overcome the problem of limited training samples and reduce computation complexity; identify an enhanced feature engineering methodology that results in reduced feature vector size and elimination of unwanted background information from the given image; design and develop a deep neural network model to effectively perform with lesser training samples and also incorporate the spatial relationship between the features; test the models and evaluate the performance using benchmark datasets. In this research work, deep learning model with ResNet50 architecture has been proposed to increase the identification rate.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116354573","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 of Bluetooth-based Solar Panel Cleaner Robot 基于蓝牙的太阳能电池板清洁机器人设计

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084178

R. Priya, K. Radha, M. Karthikeyan

引用次数: 0

Scaling Object Detection to the Edge with YOLOv4, TensorFlow Lite 缩放对象检测边缘与YOLOv4, TensorFlow Lite

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084319

Renduchinthala Sai Praneeth, Kancharla Chetan Sai Akash, Bommisetty Keerthi Sree, P. Rani, Abhishek Bhola

引用次数: 1

American Sign language Recognition using Deep Learning 使用深度学习的美国手语识别

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084015

Anusha Puchakayala, Srivarshini Nalla, Pranathi K

引用次数: 0

Modular Adder Design based on Reversible Toffoli CLA 基于可逆Toffoli CLA的模块化加法器设计

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084302

Maheshwari A, Gukan V, J. R, K. A

引用次数: 0

High Security Alert System for Industrial Atmospheric Parameters 工业大气参数高安全警报系统

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083512

Nanadakuditi Bhavana, Madhusudana rao Ranga, Atmakuri Gopala Krishna, Nandhyala Manisha, Devarapalli Rithin

{"title":"High Security Alert System for Industrial Atmospheric Parameters","authors":"Nanadakuditi Bhavana, Madhusudana rao Ranga, Atmakuri Gopala Krishna, Nandhyala Manisha, Devarapalli Rithin","doi":"10.1109/ICCMC56507.2023.10083512","DOIUrl":"https://doi.org/10.1109/ICCMC56507.2023.10083512","url":null,"abstract":"The proposed system is a cost- and power-efficient real-time monitoring system for industrial processes. The system uses sensors to measure parameters such as temperature, gas, smoke, and fire and transmits the data to a microprocessor and mobile device using a Raspberry Pi module and GSM module. This helps to prevent accidents and improve safety in hazardous working environments. The system uses a Wireless Sensor Network (WSN) for wireless communication between devices, which is crucial for industrial applications as wiring is expensive and may cause maintenance problems. The system uploads data to the cloud using IoT and allows for remote monitoring via mobile or the internet using the Node-red. The use of WSN and IoT helps reduce human intervention while increasing efficiency and improving performance. The system is commonly used in industrial applications such as machine control, gas level monitoring, humidity measurement, and fire detection. The use of IOT in combination with firefighting has a significant impact on fire emergencies and enhances fire brigade capabilities. The proposed model is designed in a manner that at first level of saturation, alert buzzer will give a beep sound. At second level of saturation the owner will receive a message alert to a specific mobile number according to the code. At final stage of toxic saturation that is if it is more than 30 percent of the tolerance level the person will receive a phone call alert to that mobile number.","PeriodicalId":197059,"journal":{"name":"2023 7th International Conference on Computing Methodologies and Communication (ICCMC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125449716","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 Machine Translation using Adam Optimised Generative Adversarial Network 基于Adam优化生成对抗网络的神经机器翻译

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084034

Ippatapu Venkata Srisurya, P. R

引用次数: 0

Distribution System Power Quality Improvement using IRP Theory 应用IRP理论改进配电系统电能质量

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10084162

V. Kumar, KALAGOTLA CHENCHIREDDY, Khammapti R Sreejyothi, Thumuluri Usha, Ankireddy Venkatasaireddy, Bandari Rakesh

引用次数: 2

Low Power Design of Edge Detector using Static Segmented Approximate Multipliers 基于静态分割近似乘法器的低功耗边缘检测器设计

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083930

K. Sivanandam, R. Jagadheesh, S. N. Kavi Bharath, S. Manoj

引用次数: 0

Peer to Peer Credentials Sharing using RSA and Session Token Techniques 使用RSA和会话令牌技术的对等凭证共享

2023 7th International Conference on Computing Methodologies and Communication (ICCMC) Pub Date : 2023-02-23 DOI: 10.1109/ICCMC56507.2023.10083606

K. Gupta, K. S. Reddy, Lagadapati Vineeth, Rageeru Lenin Kumar, G. Suryanarayana

引用次数: 0