2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE)最新文献

Ensemble Learning And its Application in Spam Detection 集成学习及其在垃圾邮件检测中的应用

2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2023-01-20 DOI: 10.1109/ICCECE51049.2023.10085378

Arka Ghosh, Raja Das, Shreyashi Dey, Gautam Mahapatra

引用次数: 0

Multiplexing of Infrared Images Using Periodic Optical Carrier Modulation 利用周期性光载波调制的红外图像复用

2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2023-01-20 DOI: 10.1109/ICCECE51049.2023.10085234

Banhi Dutta Choudhuri Das, Arijit Saha

引用次数: 0

Model Based Test Framework for verification of Flight Control Software 基于模型的飞控软件验证测试框架

2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2023-01-20 DOI: 10.1109/ICCECE51049.2023.10085332

Chandrashekhar Singh, Jagadish Shivamurthy, Asha Garg

{"title":"Model Based Test Framework for verification of Flight Control Software","authors":"Chandrashekhar Singh, Jagadish Shivamurthy, Asha Garg","doi":"10.1109/ICCECE51049.2023.10085332","DOIUrl":"https://doi.org/10.1109/ICCECE51049.2023.10085332","url":null,"abstract":"Verification and Validation (V&V) of Safety Critical Software such as that of Flight Control Computer is an effort intensive and critical task. Accordingly standards like DO-178C lay much importance on the V&V aspects of the airborne software. Generation of typical and relevant test vectors over short sequences of time, calculating the expected outputs on a frame-by-frame basis and thus confirming the behavior of the software are daunting tasks. This paper brings out a Model Based Test (MBT) Framework to accelerate the functional testing. The Framework leverages the fact that, key and functional aspects of flight control such as Control Laws including advanced features such as Auto pilot are modeled and validated through simulation studies before generating software requirements. The Framework provides GUI based utilities to generate test vectors involving several external inputs over time durations such as 10 seconds covering multiple requirements. Such vectors are converted in to frame-by-frame test matrix which is fed to both the model and the program under test. The outputs of the model and program are automatically compared and differences beyond threshold are flagged for examination. The Framework additionally generates structural coverage reports both at the model and code levels which are the means to figure out that not only 100% MC/DC for the code is achieved but also there are no missing requirements. These coverage reports provide confidence and certification credits.","PeriodicalId":447131,"journal":{"name":"2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123709135","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

Analysis and Processing of Spatial Remote Sensing Multispectral Imagery using Deep Learning Techniques 基于深度学习技术的空间遥感多光谱图像分析与处理

2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2023-01-20 DOI: 10.1109/ICCECE51049.2023.10085536

Omar Soufi, Fatima-Zahra Belouadha

{"title":"Analysis and Processing of Spatial Remote Sensing Multispectral Imagery using Deep Learning Techniques","authors":"Omar Soufi, Fatima-Zahra Belouadha","doi":"10.1109/ICCECE51049.2023.10085536","DOIUrl":"https://doi.org/10.1109/ICCECE51049.2023.10085536","url":null,"abstract":"The use of machine learning models, particularly deep learning models, for the analysis of remote sensing products, especially multispectral satellite images, has recently experienced exponential development. Therefore, this article will present a protocol for processing multispectral satellite images by deep learning through the latest methods used in neural networks for computer vision, exploring all the methods used and proposed. In this study, we present the main methods of deep learning adapted to the processing of multispectral satellite images in the form of an efficient processing protocol. Our methodology proceeds with a systematic analysis of all the deep learning concepts by testing the applicability of multispectral satellite images and the contribution of the concept to the accuracy and performance of the model. In addition, each method introduced in this study has been tested in a real use case of remote sensing products especially satellite imagery for spatial analysis tasks such as semantic segmentation, object and pixel classification, object detection, image fusion, and land use and land cover classification (LULC). Thus, a discussion of the use of this protocol and some open challenges in this technological field are presented.","PeriodicalId":447131,"journal":{"name":"2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123994346","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 New Search Algorithm for Calculating the Maximum Loadability of a Transmission System 一种计算输电系统最大负荷的新搜索算法

2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2023-01-20 DOI: 10.1109/ICCECE51049.2023.10085209

Jayanta Piri, G. Bandyopadhyay, M. Sengupta

{"title":"A New Search Algorithm for Calculating the Maximum Loadability of a Transmission System","authors":"Jayanta Piri, G. Bandyopadhyay, M. Sengupta","doi":"10.1109/ICCECE51049.2023.10085209","DOIUrl":"https://doi.org/10.1109/ICCECE51049.2023.10085209","url":null,"abstract":"In today’s deregulated electric power systems both government and private utilities are participating in all the available sectors i.e. generation, transmission and distribution. The ownership of each sector may belong to different agencies or companies. In such a scenario the scope of each sector is clearly segregated. A transmission system evacuates electrical power from the generating stations and caters power to different load points. Any shortcoming on the part of the transmission system may prevent the loads from receiving adequate power even in case of availability of adequate generation. As such it is imperative to know the real strength of the existing transmission system to utilise its full capacity and to make necessary improvements of the overall performance of a power system. Technically speaking, the strength of a transmission system is evaluated through loadability studies wherein the total load of the system is maximised without violating operating constraints. Loadability studies play important role in planning a power system since enhancement of the strength of a transmission system by installing new lines require a large capital investment and right-of-way. Hence every effort should be made to utilise the capacity of an existing transmission system to its fullest extent. In the present work a new search algorithm has been proposed to calculate the loadability of a transmission system. This algorithm has then been used to determine the maximum loadability of power systems taken for a sample study.","PeriodicalId":447131,"journal":{"name":"2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125664730","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

Comparative Analysis of MIMO Multiuser Signal Detection MIMO多用户信号检测的比较分析

2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2023-01-20 DOI: 10.1109/ICCECE51049.2023.10084997

Subhrajit Dey, Soumitra Bhowmick

引用次数: 0

An Autonomous Assistance Robot for Multi-Purpose Medical Applications Using ROS 基于ROS的多用途医疗辅助机器人

2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2023-01-20 DOI: 10.1109/ICCECE51049.2023.10085585

Pawan Kadam, Pratik Padalkar, Aniket B Mohite, Shantanu Mirajgave, Santwana S. Gudadhe

{"title":"An Autonomous Assistance Robot for Multi-Purpose Medical Applications Using ROS","authors":"Pawan Kadam, Pratik Padalkar, Aniket B Mohite, Shantanu Mirajgave, Santwana S. Gudadhe","doi":"10.1109/ICCECE51049.2023.10085585","DOIUrl":"https://doi.org/10.1109/ICCECE51049.2023.10085585","url":null,"abstract":"Over the years, the robotic industry has made significant growth in the manufacturing sector due to the need for collaborative and interactive robots. But it is not the case for service sectors, especially in the healthcare sector. A lack of emphasis is given to healthcare which has led to new opportunities for developing assistive robots which can aid patients with disabilities and illnesses. Furthermore, COVID-19 has acted as a catalyst for the development of assistive robots in the healthcare sector in an attempt to overcome the difficulties faced due to viruses and bacteria. This paper demonstrates the simulation of a multi-purpose medical assistive robot using ROS(Robot Operating System). This intelligent robot is successfully simulated and visualized in the ROS environment. To achieve real-time autonomous motion Google Cartographer SLAM(Simultaneous Localization And Mapping) is used to generate real-time maps of unknown environments. It usually focuses on how these robots can provide assistance to health workers, customers, and organizations in different sectors of the healthcare environment.","PeriodicalId":447131,"journal":{"name":"2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129807430","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

Human Interaction-Free Object Localization in a Scene 场景中无人机交互的对象定位

2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2023-01-20 DOI: 10.1109/ICCECE51049.2023.10085125

Sabyasachi Moitra, S. Biswas

引用次数: 0

Satellite Wi-Fi Terminal for Post-Disaster Emergency Communication Management 灾后应急通信管理卫星Wi-Fi终端

2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2023-01-20 DOI: 10.1109/ICCECE51049.2023.10085637

Leena Kohli Kapoor, S. Ashish

引用次数: 0

Predicting Gender from Human or Non-human Social Media Profile Photos by using Transfer Learning 利用迁移学习从人类或非人类社交媒体个人资料照片中预测性别

2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE) Pub Date : 2023-01-20 DOI: 10.1109/ICCECE51049.2023.10085525

S. Sakib, Nur Mohammad Fahad, Mohaimenul Azam Khan Raiaan, Md. Anisur Rahman, Abdullah Al Mamun, Salekul Islam, Md. Saddam Hossain Mukta

引用次数: 3