2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)最新文献

Multi-Terrain Quadruped Multi-Terrain四足动物

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2020-12-11 DOI: 10.1109/ICAECC50550.2020.9339517

Nishmitha Kiran, Pallavi Madhukar, Roshini Muralidhar, T. Chandar

引用次数: 0

Benign and Malignant Dermatoscopy Image Classification 良性和恶性皮肤镜图像分类

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2020-12-11 DOI: 10.1109/ICAECC50550.2020.9339500

T. Bobby

{"title":"Benign and Malignant Dermatoscopy Image Classification","authors":"T. Bobby","doi":"10.1109/ICAECC50550.2020.9339500","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339500","url":null,"abstract":"Skin cancer is one of the life threatening diseases and there is mostly no chance of remission from skin cancer if diagnosed in the last stage. The three major types of skin cancers are basal cell carcinoma, squamous cell carcinoma, and melanoma. Among these three, melanoma skin cancer is dangerous and acute in nature. Dermatologists use various techniques for diagnosing the malignant, in which the popular and reliable clinical method is dermatoscopy. The manual inference of the disease condition from the dermatoscopy images requires intensive knowledge and experience in the related field. Also, there will be an unavoidable degree of variability in image analysis occurs as long as the diagnostics procedure relies on human visual perception. Thus recently, image processing and machine learning algorithms have been applied for the accurate diagnoses of skin cancers from the dermatoscopic images. Thus, the goal of the proposed work is to automatically segment and classify the dermatoscopy skin lesion image with the help of image processing and machine learning algorithms. The proposed approach classifies the skin lesion image as benign or malignant melanoma with 90% accuracy, 91% sensitivity, 86% specificity, and 93% precision.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122439127","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

A Comprehensive Study on RPL Challenges RPL挑战的综合研究

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2020-12-11 DOI: 10.1109/ICAECC50550.2020.9339505

Sreelakshmi Tadigotla, J. Murthy

引用次数: 2

Person Re-identification via Deep Metric Learning 基于深度度量学习的人再识别

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2020-12-11 DOI: 10.1109/ICAECC50550.2020.9339491

M. R. Desai, Sayeda Afshan Patel, Muskan Peerzade, Geeta Chawhan

{"title":"Person Re-identification via Deep Metric Learning","authors":"M. R. Desai, Sayeda Afshan Patel, Muskan Peerzade, Geeta Chawhan","doi":"10.1109/ICAECC50550.2020.9339491","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339491","url":null,"abstract":"Now a day's everyone are facing a wide range and variety of threats, ranging from robbery, kidnapping, and terrorism to murder. To avoid these threats, it is necessary for the authorities to collect real time information on what is happening in and around the city. Therefore, to make the cities safer and risk free, new technologies are being developed. Here we built a reliable system that recognizes the person from any angle from a captured image. We can get the input to the systems through CCTV cameras installed in public places where these kinds of life-threatening events take place. It is easy to install these cameras at public places and more easy to monitor and store the data. The developed system uses deep metric learning and the machine learning platform, tenser flow and keras. It is a type of machine learning where system iteratively performs computations to know the patterns. The system processes captured images and compares with existing dataset images to recognize the person. The comparison is done based on certain selected features. The results are more accurate (98.18%) compared to existing systems.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134448358","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

Heading plane Control of an Autonomous Underwater Vehicle: A novel Fuzzy and Model Reference Adaptive Control Approach 自主水下航行器航向平面控制:一种新的模糊和模型参考自适应控制方法

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2020-12-11 DOI: 10.1109/icaecc50550.2020.9339495

Narayan Nayak, P. Das, S. Das

{"title":"Heading plane Control of an Autonomous Underwater Vehicle: A novel Fuzzy and Model Reference Adaptive Control Approach","authors":"Narayan Nayak, P. Das, S. Das","doi":"10.1109/icaecc50550.2020.9339495","DOIUrl":"https://doi.org/10.1109/icaecc50550.2020.9339495","url":null,"abstract":"This paper describes various control strategies used for controlling the desired heading angle of the Autonomous under water vehicle(AUV). The control of AUV is a great challenge for the researchers due to the time varying and highly nonlinear effect of hydrodynamic forces. The presence of communication constraints and the external disturbances inside the fluid makes the design of control action of AUV more difficult. In these situation the adaptive controller techniques such as Model reference adaptive controller (MRAC) is more suitable. The proposed new adaptive controller Fuzzy Model Reference Adaptive Controller (FMRAC) technique is the combination of MRAC and Fuzzy logic which produces better transient performance. The heading controller is designed and their performance is examined through the MATLAB/SIMULINK. The time response characteristics of the proposed controller are compared with traditional MRAC and FUZZY. The FMRAC has the ability to produce the stable operation and more effectiveness for controlling the heading angle.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133389689","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

On Spatial Reuse Potential for Wireless LANs 无线局域网空间复用潜力研究

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2020-12-11 DOI: 10.1109/ICAECC50550.2020.9339483

M. Knitter, W. Endemann, R. Kays

引用次数: 2

An IoT based System for Public Transport Surveillance using real-time Data Analysis and Computer Vision 基于物联网的公共交通监控系统，使用实时数据分析和计算机视觉

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2020-12-11 DOI: 10.1109/ICAECC50550.2020.9339485

M. Rohit

{"title":"An IoT based System for Public Transport Surveillance using real-time Data Analysis and Computer Vision","authors":"M. Rohit","doi":"10.1109/ICAECC50550.2020.9339485","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339485","url":null,"abstract":"The need for a real-time surveillance system in public transport in Bangladesh along with the Indian subcontinent is skyrocketing. The increasing number of working and school-going citizens of Bangladesh need safety in the way of their destination. The Internet of things (IoT) is widely used in our society to provide safety and security to our homes and organization. Ensure the safety of passengers and monitoring drivers and local buses is getting the primary concern of the bus owner. With the collaboration of IoT, Hardware, computer vision, and AI we build an internet-based system that can provide an end-to-end solution to all problems in public transport. The movement of local transport is also a concerning matter in our country like over speeding the vehicle which causes a massive amount of road accidents. Integrating GPS tracking system with our automation safety system, we can create a geofencing to control and monitor the local buses of our country. This paper will delineate the design and the prototype of our surveillance system using computer vision and real-time data analysis.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114869046","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

Development of a verification environment to capture the functional coverage of PUCCH features in 5G User Equipment Simulator 开发验证环境以捕获5G用户设备模拟器中PUCCH特性的功能覆盖

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2020-12-11 DOI: 10.1109/ICAECC50550.2020.9339510

D. Gowda, Ramgopal Segu, K. Gupta

{"title":"Development of a verification environment to capture the functional coverage of PUCCH features in 5G User Equipment Simulator","authors":"D. Gowda, Ramgopal Segu, K. Gupta","doi":"10.1109/ICAECC50550.2020.9339510","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339510","url":null,"abstract":"The fifth generation of wireless mobile network, known as 5G NR (New Radio) is in the process of being designed and deployed. NR follows 3GPP series of standards for wireless network which includes gNB (base station) and UE (user equipment). The connection from User Equipment to gNodeB is known as Uplink, which includes PUCCH channel which is used to convey Control Information to the gNB. The features of the PUCCH in baseband of the UE simulator are modelled using HDL and implemented in FPGA (SoC). This paper proposes a way to develop environment that can be used to capture the functional coverage for the verification. The environment we developed is by using SystemVerilog with UVM framework. We used Python and Perl scripts to automate the process of verification. All the features which are intended to implement based on the specification can be exercised. Which will give 100% coverage, that is closer to the realworld application. This will enables telecommunication industry to make their product more reliable and less time in design cycle. Our work involves the development of the testbench environment and scripts which automatically captures the functional coverage of the feature-based verification process. This can also be helpful in the functional coverage of different channels in any Baseband unit and this environment is not limited to 5G, can be used for 4G LTE or in future 6G.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125978016","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

Comparative Study of Mathematical Models and Data Driven Models for Battery Performance Parameter Estimation 电池性能参数估计的数学模型与数据驱动模型的比较研究

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2020-12-11 DOI: 10.1109/ICAECC50550.2020.9339480

Aslesh Kumar Avadhanula, S. S. Kulkarni

引用次数: 4

A Novel Hybrid Approach to Improve PAPR in MIMO-OFDM System 一种提高MIMO-OFDM系统PAPR的新型混合方法

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC) Pub Date : 2020-12-11 DOI: 10.1109/ICAECC50550.2020.9339481

Amit Gahlot, Namrata Sukhijia

引用次数: 1