2023 International Conference for Advancement in Technology (ICONAT)最新文献

Chronic Kidney Disease Prediction 慢性肾脏疾病预测

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080709

Venkata Sai Pilli, Kumar Pamidi, P. E

引用次数: 3

Bullet Hole Detection in a Military Domain Using Mask R-CNN and ResNet-50 基于掩模R-CNN和ResNet-50的军事领域弹孔检测

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080859

Tanzil Ahmed, Salman Rahman, A. Mahmud, Md. Abdur Razzak, Dr. Nusrat Sharmin

{"title":"Bullet Hole Detection in a Military Domain Using Mask R-CNN and ResNet-50","authors":"Tanzil Ahmed, Salman Rahman, A. Mahmud, Md. Abdur Razzak, Dr. Nusrat Sharmin","doi":"10.1109/ICONAT57137.2023.10080859","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080859","url":null,"abstract":"Small arms shooting practices and competitions are routine activities in the military domain. The shooting group or bullet group analysis serves as a metric for the precision of a weapon, the shooter’s accuracy, and consistency, and as a method for improving or refining one’s shooting abilities. This analysis mechanism, however, is either manual or semi-automatic, employing image processing-based algorithms such as template matching, histogram equalization, white balancing, median and gaussian altering, peak detection, and image subtraction in an indoor setting, which is incapable of adapting to environmental conditions such as humidity, temperature, ambient light, wind speed, and rain, among others. Recent advancements in artificial intelligence or deep learning techniques explored ways to facilitate automation in various sectors. In this paper, we have used such deep learning approaches to automize the shooting system in real-time within a military domain and achieved success in resolving the traditional image processing drawbacks. Our proposed methodology has two phases. The first phase uses Mask R-CNN a conceptually simple, flexible, and general framework for object instance segmentation to extract the target region from the environment, and in the second phase, we fed the output segmented target of the first phase to ResNet-50 a convolutional neural network architecture to detect the bullet holes. Several experiments have been conducted on real-time datasets and the results show 0.87 of average precision using mask R-CNN to segment the target and ResNet-50 give 0.80 to detect bullet holes.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114650735","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

Low-Cost Wearable Device to Provide an Effective Solution for Contact Tracing and Logistics 低成本可穿戴设备为接触追踪和物流提供有效解决方案

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080852

Vasant Joseph, Souparnika K S, Sidharth Haridas

{"title":"Low-Cost Wearable Device to Provide an Effective Solution for Contact Tracing and Logistics","authors":"Vasant Joseph, Souparnika K S, Sidharth Haridas","doi":"10.1109/ICONAT57137.2023.10080852","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080852","url":null,"abstract":"The paper introduces a low-cost wearable band that does the tedious, repetitive task of entering your required details in any shop or organization, as well as keeping a record of all the people you have come in contact with. There are two aspects of our device:1)If a person enters a shop with our device, the band will transmit the required information of the wearer to the reader kept at the shopkeeper’s side wirelessly. The transmitted information will include the wearer’s information (as per government guidelines) masked in the band’s Unique ID along with their temperature status (whether having a temperature above 100°F or not).2)When two persons come near each other over a distance of 6 feet, the unique ID broadcasted from each other’s bands gets stored in the other’s band. If any of them tests positive for Coronavirus Disease (COVID-19) or similar diseases, his/her unique ID can be used to trace primary contacts and take appropriate steps to contain further spread.Privacy is key! So, we are reengineering the primary concept of contact tracing and logistics while keeping the user’s information safe and secure.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"497 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120879577","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

Stationary Human Target Detection Based on Millimeter Wave Radar in Complex Scenarios 复杂场景下基于毫米波雷达的静止人体目标检测

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080760

Qianhui Li, Minglei Yang, Zhiwei Wang, Haohui Chen

引用次数: 0

Energy Consumption Saving in 5G Network Based on Artificial Intelligence 基于人工智能的5G网络节能

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080476

Debarun Ghosh, S. Bharathi

引用次数: 0

Optimal Scheduling of Residential Loads Using Binary Particle Swarm Optimization (BPSO) Algorithm 基于二元粒子群优化算法的住宅负荷优化调度

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080137

R. Disanayaka, K. Hemapala

引用次数: 0

Design of a Cost-Effective Smart Mirror Using Raspberry Pi 基于树莓派的高性价比智能镜子设计

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080844

A. Barbadekar, Sarthak Bhake, Sahil Parekh

{"title":"Design of a Cost-Effective Smart Mirror Using Raspberry Pi","authors":"A. Barbadekar, Sarthak Bhake, Sahil Parekh","doi":"10.1109/ICONAT57137.2023.10080844","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080844","url":null,"abstract":"As the technology becomes more and more advanced with time, automations are taking over our day to day lives. More and more innovations are being done in this space to enable people getting exposed to technology and in turn live a tech-supported lifestyle. This research paper proposes a model of a Smart Mirror which is a normal mirror but with which the user can interact. The proposed model is robust and full of features which can be directly used in a person’s day to day life. The proposed model consists of two subsystems namely software and hardware, they both work in unison to make a complete end to end device. The hardware sub system of the model includes a Raspberry Pi and a few other components. While the software sub system enables the functioning of the proposed system. The core of the smart mirror is the Magic Mirror module which stores all the APIs for the features which the model incorporates. These APIs are critical as they help in fetching real time information. The proposed model has features like Calendar, Music App, Weather Forecast, News etc, the model can be scaled to add as many features as one can in order to make it customized. The ability of the proposed model to use APIs and add more features makes it more robust and cost-effective in general.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123440837","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

Image De-hazing techniques for Vision based applications - A survey 基于视觉应用的图像去雾技术。综述

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080156

Santhosh Krishna B V, B. Rajalakshmi, U. Dhammini, M. Monika, C. Nethra, K. Ashok

{"title":"Image De-hazing techniques for Vision based applications - A survey","authors":"Santhosh Krishna B V, B. Rajalakshmi, U. Dhammini, M. Monika, C. Nethra, K. Ashok","doi":"10.1109/ICONAT57137.2023.10080156","DOIUrl":"https://doi.org/10.1109/ICONAT57137.2023.10080156","url":null,"abstract":"Haze is defined as a poor condition described by an iridescent atmospheric appearance that reduces clarity and visibility. The main reason for this is lot of toxic elements like dust particles, smoke in the atmosphere scattering and absorbing sun light. This poor intelligibility causes various computer vision applications to fail, including intelligent transportation, video surveillance, element recognition, and in a method to perform operations on image to get better image. There is a problem in domain of image processing wherein image recovery by various degradations is a challenge. Pictures and videos taken in outdoor environments usually suffer from reduced contrast, faded colors and with reduced visibility due to airborne particles, which directly affect image quality. This can lead to problems recognizing objects captured in blurry or still images. Several images clean up techniques have been developed to solve this problem, each with their own strengths and weaknesses, but effective image recovery is daunting task. Recently, many learning-based methods (predictive analytics and natural language processing) have tried to overcome the shortcomings of mechanical representation of properties and alleviated the challenge of efficiently reconstructing images by spending with reduce cost and comparatively reduced time. This overview delves into latest techniques for imaging with no-fog. In addition, hardware execution of many real time dehaze methods have been methodically outlined by this paper. The study done in this paper paves a way for researches in image dehazing domain as-well-as will direct them for doing further enhancement on the basis of achievements done currently.","PeriodicalId":250587,"journal":{"name":"2023 International Conference for Advancement in Technology (ICONAT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115105364","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 Machine Learning-Based Malware Detection Techniques in Smartphone Environment 智能手机环境下基于机器学习的恶意软件检测技术设计

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080819

P. Baviskar, Guddi Singh, V. Patil

引用次数: 0

Car Sales Price Prediction using MLR, Random Forest and Support Vector Machine 基于MLR、随机森林和支持向量机的汽车销售价格预测

2023 International Conference for Advancement in Technology (ICONAT) Pub Date : 2023-01-24 DOI: 10.1109/ICONAT57137.2023.10080025

R. Chavare, Rushikesh Joshi, Om Wagh, Aditya Vaishale, Aditya Ingale

引用次数: 0