2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)最新文献_第5页

Two hybrid CNN Algorithms with An Android Application for Detection of GLAUCOMA 两种混合CNN算法与Android应用程序检测青光眼

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688439

P. G., N. R., T. Manjunath, B. A., Mahesh B. Neelagar

{"title":"Two hybrid CNN Algorithms with An Android Application for Detection of GLAUCOMA","authors":"P. G., N. R., T. Manjunath, B. A., Mahesh B. Neelagar","doi":"10.1109/ICMNWC52512.2021.9688439","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688439","url":null,"abstract":"The human eye is one of the body's most important organs. The eye is constantly important in our daily lives; without eyes, the world would be dark and doing daily tasks would be extremely difficult. In the sense that without sight, it would be extremely difficult for anyone to perform any task. The loss of vision/sight in the human eyes can be caused by a variety of factors. As a result, blindness in the human eyes must be prevented, as the most valuable human organ is solely responsible for vision. Different forms of diseases that occur in the eyes as a result of numerous circumstances are one of the causes of blindness and visual loss in the eyes. One such sickness is one that develops as a result of Convolutional Neural Network (CNN) is being offered as a way to diagnose glaucoma using fundus pictures of the eyes. In the proposed algorithm we use, k-means algorithm for segmentation, GLCM for feature extraction and classify using Multi-SVM (Support Vector Machine) as first hybrid algorithm & we use Otsu thresholding method for segmenting then, HOG (FE) feature extraction techniques is used & classification based on Knn algorithm as second hybrid algorithm & implement the same for creating an android mobile application.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122461422","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

Inflated 3D Architecture for South Indian Sign Language Recognition 南印度手语识别的膨胀3D建筑

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688520

Maahin Rathinagiriswaran, Swapneel Managaokar, K. R. Yashaskara Jois, Kartik Vijaykumar Suvarna, Niranjana Krupa

{"title":"Inflated 3D Architecture for South Indian Sign Language Recognition","authors":"Maahin Rathinagiriswaran, Swapneel Managaokar, K. R. Yashaskara Jois, Kartik Vijaykumar Suvarna, Niranjana Krupa","doi":"10.1109/ICMNWC52512.2021.9688520","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688520","url":null,"abstract":"The inability to speak is considered to be a true disability that affects both the speaker and the listener. Therefore, there is a need for a method that can recognize sign languages so that a successful communication is established. This paper proposes a method that classifies South-Indian Sign Language and translates it in real-time to Kannada language. The first few samples for the dataset were obtained from the official ISL website while the rest of the samples were manually recorded. Optical flow method is employed to extract the motion features in a video and the resulting frames are used as input to the proposed Inflated-3D model which recognizes the sign language. Stratified k-fold cross- validation is used to improve the performance. The predicted sign in text form is then translated to Kannada language through the use of GoogleTrans API and further synthesized into a speech segment using the GTTS open-source library. In addition, a comparative study of the proposed methodology with other techniques that have been proposed to recognize sign languages through video streams has been presented. The proposed method resulted in an average accuracy of 0.8709.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115846524","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 of Brushless DC Motor in Electric Vehicle 电动汽车无刷直流电动机分析

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688505

R. Keote, P. Shete, Gunjan Bhadade, Kaushal Satone, Prajakta Kalamkar, M. Patil

引用次数: 0

An Efficient 32-bit Ladner Fischer Adder derived using Han-Carlson 一个高效的32位Ladner Fischer加法器

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688464

K. A, Chetan H. Gowda

引用次数: 0

Design of a Smart Moving Road Divider for Effective Control of The Traffic Problems in Densly Populated Traffic Zones 有效控制交通密集区交通问题的智能移动道路分隔器设计

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688392

G. Pavithra, KS Nikhil, M. Sreeraam, Suprabh Pranjal, Sachin, T. Manjunath

{"title":"Design of a Smart Moving Road Divider for Effective Control of The Traffic Problems in Densly Populated Traffic Zones","authors":"G. Pavithra, KS Nikhil, M. Sreeraam, Suprabh Pranjal, Sachin, T. Manjunath","doi":"10.1109/ICMNWC52512.2021.9688392","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688392","url":null,"abstract":"The work presented in this paper gives a brief design of a smart system with a moving road divider concepts to control the traffic in a effective means w.r.t. problems in densely populated traffic zones such as in the market places. This study proposes a Smart Movable Road Divider for reducing traffic congestion in urban areas and providing a clear way for ambulances. This study focuses on lowering traffic latency and providing a clear path for ambulances. The existing Road Dividers have the same number of lanes as the existing Road Dividers. The opposing area of the divider that is usually under utilised during morning and evening rush hours. To address this, a Smart Divider is used, with the moving divider dependent on traffic density utilising IR sensors. When traffic congestion on one side is high, the divider is relocated to the opposite side. When traffic congestion on one side is high, the divider is relocated to the opposite side. The traffic density is then saved in the cloud, which is made feasible by IOT. By managing the traffic signal, the RF Module creates a clear road for ambulances. A prototype for congestion control has been built and tested, for safety measures by informing vehicles of the Divider's movement.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126006378","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

Modelling and Simulation of Grid-Connected Reconfigurable Solar Converter and Wind Hybrid Power System 并网可重构太阳能变换器与风能混合动力系统建模与仿真

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688539

P. Tejaswi, Kalpana Mamidi

{"title":"Modelling and Simulation of Grid-Connected Reconfigurable Solar Converter and Wind Hybrid Power System","authors":"P. Tejaswi, Kalpana Mamidi","doi":"10.1109/ICMNWC52512.2021.9688539","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688539","url":null,"abstract":"This paper describes a hybrid power system that uses solar PV and wind as power sources that are interfaced to the grid to provide a continuous power supply with lower harmonic distortions. The system possesses a single-stage topology thus, reduces size, loss and cost of the converter. This kind of topology avoids unnecessary double power conversion stages to reduce power losses and improves the harmonic profile by isolating DC type of loads to DC side and the AC type of loads to AC side. The analysis is done based on PI (Proportional-Integral) controller on wind side and Electric Spring controller on solar side to control grid voltages for compensating reactive power. The hybrid system enhances the system efficiency and has greater energy balance in the supply. Initially, simulation is done for single-stage solar converter named as Reconfigurable Solar Converter (RSC) with PQ control technique for various loads. Furthermore, this model is integrated with wind power system making it a hybrid model. Then, three-phase Induction Motor is connected to the local grid as a non-linear load. The results are achieved using MATLAB/Simulink software for a grid-connected hybrid power system with non-linear load.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127344991","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

Secure Key Generation from Speech signal Using Enhanced MFCC Algorithm 基于增强MFCC算法的语音信号安全密钥生成

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688398

P. D, S. Ramachandran

引用次数: 2

Comparative Study on Requirements, Applications and Challenges of Low Power Underwater Devices 低功率水下装置的需求、应用与挑战比较研究

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688423

Sahana Salagare, P. Sudha, K. P.

{"title":"Comparative Study on Requirements, Applications and Challenges of Low Power Underwater Devices","authors":"Sahana Salagare, P. Sudha, K. P.","doi":"10.1109/ICMNWC52512.2021.9688423","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688423","url":null,"abstract":"The underwater wireless sensor network is blooming research in the field of wireless communication. Underwater Wireless Sensor Networks (UWSNs) consist of components like sensors and vehicles that are deployed in an acoustic environment. These devices used underwater have various applications, such as the collection of oceanographic data, exploration of minerals and resources, management of natural disasters like tsunamis and earthquakes, etc. Due to the increase in the wide range of applications, underwater devices are gaining importance in the field of research and hence need to develop such reliable devices. But these underwater devices face many issues and research challenges. This paper presents a new analysis by inspecting studies from the past three years on different aspects that support network requirements and applications in the underwater environment. This work was motivated by the requirement for pliable solutions that would satisfy the fast development of the Underwater Sensor Node (UWSN). This paper identified the requirements and applications of low power underwater devices. Finally, discussed the major unresolved challenges and made a suggestion for future research direction.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"35 15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123524826","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

High Gain Microstrip Patch Antenna based on Fabry Perot Cavity for 5G Communication 基于Fabry Perot腔的5G通信高增益微带贴片天线

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688394

Parul Kansal, A. Mandpura, Narendra Kumar

引用次数: 0

Neural Networks in Recommender Systems with an Optimization to the Neural Attentive Recommender Model 神经网络在推荐系统中的应用及其对神经关注推荐模型的优化

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688456

Suraj K C, S. R

{"title":"Neural Networks in Recommender Systems with an Optimization to the Neural Attentive Recommender Model","authors":"Suraj K C, S. R","doi":"10.1109/ICMNWC52512.2021.9688456","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688456","url":null,"abstract":"The impact of recommender systems on e– commerce, marketing, and user entertainment has long been established. To combat the problem of information overload on the internet, they seek to improve customer-company interactions and provide customers with individualized online product or service recommendations. There are several types of recommender systems, and two of the most common are– Content based & Collaborative filtering-based recommender systems and they are examined in this paper. With the rapid rise in processing efficiency and as the capacity to process deeper neural networks became increasingly feasible, the application of deep learning to recommender systems was inevitable. In this study, we hope to guide the reader through the implementation of Neural networks (a fast deep learning algorithm) to create highly reliable recommender systems using the two aforementioned methodologies. The importance of a \"Hybridized\" system of recommendation is also illustrated. Finally, we propose a statistical optimization strategy on the Neural Attentive Recommender Model and examine the assumptions, advantages & results in the form of an experimental methodology.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115072563","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