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

{"title":"Multi-Controller Board using CPLD And ARM","authors":"R. A, Shrigouri Gumaste, Soujanya Hatuure, Shreelaxmi R, H. M, M. K. Nagachandra","doi":"10.1109/ICMNWC52512.2021.9688511","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688511","url":null,"abstract":"Development Boards have become quite popular in the last decade amongst students, hobbyists and industry professionals. Development boards have proved to be an invaluable asset to many engineers across the globe. Boards such as Arduino and Raspberry Pi has become renowned for their ease of usage. While development boards have been a boon, they also have some short comings – price, features, number of IO connections etc. The aim is to create a custom board that not only provides the benefits of two controllers but also to implement the shortcomings in most commonly available development boards.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"19 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":"131039460","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}

{"title":"Deep Learning Models of Melonoma Image Texture Pattern Recognition","authors":"Jasmine Samraj, R. Pavithra","doi":"10.1109/ICMNWC52512.2021.9688345","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688345","url":null,"abstract":"Melanoma is treated as one of the most hazardous skin disease, which must be identified in earlier for a proper treatment and diagnosing. The Computer Aided Diagnosis (CAD) system is more helpful to exactly detect and classify the disease based on its features. This paper aims to conduct a detailed review on different types of image processing techniques used for detecting the skin disease with improved efficiency and accuracy measures. There are several models of image feature analysis and prediction methods based on the neural network to enhance the classification rate. In this paper, the techniques related to the neural network based classification models are analyzed and reviewed with its benefits and demerits. Also, this work aims to investigate the performance of each technique based on several evaluation measures. Based on this study, the most suitable technique is identified for the Melanoma skin disease detection with high detection efficiency.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"225 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":"127203065","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}

{"title":"Approaches Towards A Recommendation Engine For Life Insurance Products","authors":"Aabhas Vij, N. Preethi","doi":"10.1109/ICMNWC52512.2021.9688436","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688436","url":null,"abstract":"Recommender engines are powerful tools in today’s world to overcome the problem of over choice. As the world is moving towards information overload, the life insurance industry is no more immune than any other domain. Three broad categories of life insurance plans are namely – Endowment, Term and ULIP. This paper discusses a variety of ML models that aim to classify the right fit product category for a new customer (extendable to existing customers) on a real-time life insurance company dataset. The dataset used for the modelling were of 2 kinds. The first kind contained features of customer demographics – age, location, education and occupation. The second dataset included these customer demographics as well as the bureau information of the respective customers which included multiple features describing their credit history. By the means of clustering, collaborative filtering approaches were tried on. Also, the problem was tackled using predictive modelling techniques such as Random Forest, Decision Trees and XGBoost.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"32 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":"114126502","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}

{"title":"An Android App: Virtual Queuing System for Public Distribution System","authors":"D. J. Sheebha Anni, Nesrudheen V P, Nihal Abdulla, Noor Nihara, Shahana Sherin Amiyan Kurikkal","doi":"10.1109/ICMNWC52512.2021.9688518","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688518","url":null,"abstract":"Ration distribution and food supplies to the public is one of the most fundamental government services. It has to be in the right manner especially for under people under povertyline. Its miles must important to well distribute ration cards. The card is also used to recognize people of the town or city like a voter card additionally it is very important for individuals who do not have a voter card to have a minimum ration card to determine his identity. Waiting in line is a critical problem inside the context of services because of its huge effect on operating skills and the pleasure of clients of the system. The way queues are arranged and the way lengthy clients need to anticipate products or services have laid the bottom for figuring out the maximum most desirable solution in the queue which can provide swap to reduce operating fee incurred during optimization queues, in addition to reducing the time spent through the means of ready-to-serve customers. Like the cutting-edge move from platform established to oriented carriers, that It grow to be unimportant to very well draw close the way to successfully manipulate ready strains and in flip enhance at the patron pleasure in an organization. The goal of this project is to save the group in ration stores the usage of the android application. First, the details like ration card numbers should be given in the android application, which is then connected to the corresponding ration shop. Then, the product details such as product names with quantity will be displayed in the mobile application. This app can call To the respective servers to access the data that will surely help customers to book Their tokens are online without waiting in the queue. This project tested the shortcomings of conventional and cutting-edge approached to queuing control, studying the sorts and programs of diverse queue control things, and eventually coined a generic Technique and method for planning and expanding the digital queue control system.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"49 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":"114844798","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}

{"title":"IRIS Recognition System","authors":"Kavita Borkar, S. Salankar","doi":"10.1109/ICMNWC52512.2021.9688382","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688382","url":null,"abstract":"Recent survey’s revealed that \" IRIS\" biometric recognition method becomes a very popular technique and gained a lots of attraction by various researchers in different types of fields like security systems, industrial field, medical fields, educations fields etc. for detecting any personnel . As it has very high rate of accuracy and distinct features it has been widely applied and used in widen areas where the control on access and security factor plays a very important role. The need of iris recognition is going on increasing day-by-day as it has much accuracy, reliability, and distinct features. This technique gives a very effective and powerful identification features extraction technique from all the available biometric system as we all know that human iris is a static feature and will not be changed or get affected by any environmental situation during the complete life span of a human being. For the effective performance of an iris recognition system researchers have to do more work on different challenges arises during the operation of the iris system such as various images collected in unsteady environmental condition, noisy and blurred images and many other conditions. The main aim of our research work is to discuss the various methods and techniques has been used till now by different research scholars for iris recognition and various steps required in iris recognition process.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"6 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":"124378284","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}

{"title":"Secured Online Learning in COVID-19 Pandemic using Deep Learning Methods","authors":"V. K., V. M. Deshmukh, Subhashree Rath","doi":"10.1109/ICMNWC52512.2021.9688338","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688338","url":null,"abstract":"With the outbreak of the global pandemic covid-19, most educational institutions across India have moved towards the usage of online teaching platforms Viz., Google Meet, Zoom, Webex, and Microsoft teams to process learning continuity. In research and development, it is observed that meager importance is given to address the issues of securing e- learning systems. Securing an e-learning system is a unique challenge faced in India as many systems are accessed and managed through the internet by numerous users distributed over diverse networks. Moreover, the online teaching platforms are open, distributed, and interactive; hence, it becomes challenging to ensure that every user has access to the correct information. Building trust will leverage the usage of online teaching systems in terms of security, usability, and protection of personal information. The key focus of this paper is to analyze the existing online and remote learning tools and identify the level of cyberattacks. This article also explores recent progress in novel ICT engineering paradigms in cyber assurance and protection. The paper proposes a cyber-security framework using cutting-edge technologies like AI and Deep Learning to fight against cyber-attacks.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"16 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":"121589362","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}

{"title":"Geofencing Technology for Sustaining Vehicular Noise Pollution in Urban Areas","authors":"Ramanath Kini M G, Laxmi G Gulappagol, Vidya Dudhanikar, U. J","doi":"10.1109/ICMNWC52512.2021.9688385","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688385","url":null,"abstract":"Automobile has become an integral part of social life resulting in a by-product of Noise pollution. Vehicular honking in urban areas is a major contributor to adverse health effects and biological imbalance between humans, animals, and birds. Various researches show that honking is one of the major causes of noise pollution and a negative contributor to the social peace index and decline in various species of birds which also contribute to socio-ecological balance and hygiene. This paper discusses the design of hybrid solutions to reduce the impact of honking, within a sustainable limit without neglecting the objective or failing its purpose. This, in turn, decreases the stress caused due to honking during the waiting period in traffic and improves the mental health also the quality of biodiversity, contributing to a sustainable society.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"99 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":"116801363","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}

{"title":"Parametric Study of an Ultrathin Flexible Wideband Absorber for K Band","authors":"Avinash, N. Gupta","doi":"10.1109/ICMNWC52512.2021.9688395","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688395","url":null,"abstract":"This paper presents the parametric study of a low-cost, flexible, ultrathin absorber comprising a dual concentric ring shape frequency selective surface (FSS). The absorber structure is incorporated with periodic dual concentric ring as FSS on a photo paper substrate material backed with a copper foil ground plane. Periodicity of the unit cell is 6.6 mm which is only 0.56λ0 and all-inclusive thickness of the absorber is 0.15λ0, where λ0 is free space wavelength at 25.87 GHz which is centre frequency. The fractional bandwidth (FBW) of the proposed absorber is 74.8 % at -10 dB reflection which covers not only complete K-Band but also higher range of Ku- Band and lower range of Ka- Band. The proposed absorber behaves uniformly at different angle of polarization. Effect of variation in different parameters of FSS like periodicity of unit cell, thickness of the substrate, inter element spacing, width of the ring, have been examined and optimized using a high frequency structure simulator software (HFSS).","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"28 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":"115607269","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}

{"title":"Simplified Agrirobot For Modern Agricultural Techniques Using IoT","authors":"B. Naveen, Bharath Nayaka, V. Goutham, J. Anusha, B. S. Raghukumar","doi":"10.1109/ICMNWC52512.2021.9688543","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688543","url":null,"abstract":"Numerous advances in innovation have made a considerably lesser amount of work in agribusiness. Farmers are searching for better approaches to carry out innovation to reduce expenses and reduce work hours. Internet of Things (IoT) technology has brought a revolution to each field by making everything smart and intelligent. Numerous nations in Asia including India are agrarian, economies and the vast majority of their rustic populaces rely upon agribusiness to acquire their work. Execution of groundbreaking thoughts and innovation is an important blessing to the new era. In this methodology available smart machines which are sufficiently keen to work in an unmodified or semi-regular habitat. This paper proposed the agriculture stick through Arduino technology. This paper presents a microcontroller-based pesticide showering robot. It majorly includes the following stages seed distribution, obstacle detection, and pesticide spraying. To plant the seeds a mechanical arm will burrow to an exact profundity with the equivalent distance between the seeds. At the lower part of the robot, the water siphon will be set, and according to the necessity, water will be sprinkled. The perfect measure of manure will be spread over the seed. This paper yields the simplified machine which is fabricated and exhibited to accomplish the cultivating task in the field of agribusiness.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"62 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":"122679551","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}

{"title":"Automatic Valuation of Essay using Machine Learning","authors":"V. Prashanthi, T. Madhuri, V. Shailaja, Srinivas Kanakala","doi":"10.1109/ICMNWC52512.2021.9688335","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688335","url":null,"abstract":"Giving ratings to essays by humans is laborious and prone to mistakes. Although so much exploration is done to evaluate an essay, not so much is done to analyze an essay using syntax, semantic and sentiment analysis. Existing systems use several supervised and unsupervised methodologies to assess text coherence. Typically, unsupervised approaches assess lexical cohesiveness or the frequency with which phrases in an essay appear. It checks grammar, coherence, and semantics in a phrase. In the Essay, we have covered graph- based linkages and statement’s polarity opinion. To construct Graph-based spatial links and unique characteristics. There is a semantic resemblance established between every statement of the essay. The graph-based representation aids in the discovery of patterns and correlations within a set of data. The design and Information of documents can be constitute using a graph representation of text. Subsequently, the structure depends on little features which give a system more predictive power. Because of very few features, we can resist noisy data, and remove redundancy. We had taken some datasets from Kaggle and populated some data by taking different Essays from the Internet. We predict the score using XGBoosthis electronic document is a \"live\" template and already defines the components of your paper [title, text, heads, etc.] in its style sheet.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"5 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":"128694606","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}