{"title":"Socialization between Quarantine Vehicle and Road Side Unit for Handling COVID-19: A Concept","authors":"Zaheeruddin, Hina Gupta, D. Mehrotra","doi":"10.1109/icrito51393.2021.9596333","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596333","url":null,"abstract":"The large-scale outbreak of pandemic COVID 19 has escalated the number of calls made to the Emergency Medical Services (EMS). EMS consists of the list of isolation centres and quarantine vehicles that are supposed to shift patients to isolation centres. The prime motive of the EMS is to provide quick and reliable assistance to the victims so that their exposure to other public is as low as possible. In this paper, we propose a novel concept of Socially Connected Quarantine Vehicle (SCQV) a subset of Social Internet of Vehicles (SIoV). The SCQV is a social network established among the quarantine vehicles and roadside units. It can be used for shifting the patients to isolation centres or hospitals and circulating messages regarding emergency help and formation of containment zone among people. The concept is new in its context where the socially and mutually connected entities will be capable of interacting with each other and make the handling of patients efficient.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120951298","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":"Audio Detection using Mel-frequency Cepstral Coefficients","authors":"Uppu Jithendra, Usha Mittal, Priyanka Chawla","doi":"10.1109/icrito51393.2021.9596443","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596443","url":null,"abstract":"The lack of benchmark findings for comparison with any suggested approach is one of the most fundamental challenges in sound event detection research. Distinct research explore different sets of events and datasets, making it difficult to distinguish between new and existing methods. We calculated the average accuracy and mean AUC using the ESC 50 dataset in this research. We employ a Gaussian Mixture model-based component depiction explicitly and solidify it with linear and non-linear Support Vector Machines.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127750612","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":"A Review of Local Binary Pattern Based texture feature extraction","authors":"N. Kaur, Nahida Nazir, Manik","doi":"10.1109/icrito51393.2021.9596485","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596485","url":null,"abstract":"In the sphere of image processing, image data investigation is required related to a specific application in order to extract the suggestive information and reach defined and crisp culminations. One of the most significant phase in image processing is feature extraction which is the third step following image acquisition and segmentation. The procedure of reconstructing the input image into a group of features is named as feature extraction. These features construe the textural characteristics of the image. Texture feature extraction is one such significant part of feature extraction that on majority influences the results of classification. A texture is principally based on recognizing the object or region of interest in an image. The Local Binary Pattern feature descriptor will be the pith of discussion of this paper. LBP is a texture operator that operates on an image by labeling its pixels by thresholding neighborhood of each pixel. Various quality journals have been referred in order to provide an insight into the trends in pattern recognition using LBP.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128780759","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":"Brain Image Segmentation based on U-Net Architecture with Adaptive Histogram Equalization","authors":"Anjali Kapoor, R. Agarwal","doi":"10.1109/icrito51393.2021.9596335","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596335","url":null,"abstract":"In this paper, a brain tumor segmentation method has been proposed. Image segmentation is required for the detection of brain tumors. For this purpose, brain images are divided into two distinct areas. This is one of the main but also the most complex element of the tumor identification process. A brain tumor is a result of mass of tissue that grows, it is the most important cause of the increased mortality rate among children as well as adults. This paper proposes a brain tumor segmentation method by using a combination of Adaptive Histogram Equalization and U-Net architecture. The performance of U-Net architecture and U-Net Architecture with Adaptive Histogram Equalization Technique are contrast by using PSNR (Peak Signal to Noise Ratio), MSE (Mean Squared Error), Quality and Complexity parameters. Overlap-tile strategy is used to smooth the segmentation of large images. Many MR images were collected, and the observations were carried out for statistical analysis using the Adaptive Histogram Equalization and U-Net architecture.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132895186","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}
P. Jindal, H. Kaur, Amandeep Kaur, Geetanjali, R. Sindhu
{"title":"Photonic Crystal Based Biosensor - Design and Performance Analysis for Identification of Various Blood Components","authors":"P. Jindal, H. Kaur, Amandeep Kaur, Geetanjali, R. Sindhu","doi":"10.1109/icrito51393.2021.9596415","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596415","url":null,"abstract":"This paper presents the design of a biosensor based on 2D photonic crystal to identify different components of blood from 1.55- 1.60 μm wavelength range. The structure is based on a straight waveguide with hexagonal lattice and has small footprints (100μm2). The transmission properties of the electromagnetic waves inside the sensor for different refractive index values have been analyzed using the Finite Difference Time Domain technique. The photonic bandgap has been calculated using the Plane Wave Expansion method. The variations in the output power and wavelength have been used to identify the different constituents of blood. The ultra-compact dimensions and the high-quality factor make it a suitable candidate for biosensing applications in the medical domain.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133566168","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":"Prediction of Covid-19 Cases in India Through Machine Learning Using Python","authors":"S. Mathur, Krishnasheesh Datta","doi":"10.1109/icrito51393.2021.9596116","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596116","url":null,"abstract":"In this time of the pandemic we all are fighting to stay safe and work side by side and we all have one question in our mind and that is when all this will be over. In this paper we have proposed the SM Model of data prediction. This model can project the future growth of COVID-19 in the states of India and Union Territories by using machine learning in python3 and makes use of the data collected about all the Indian states and union territories. This paper makes use of data collected from various sources to make sure that the proposed model gives us a relatively low margin of error in the growth prediction.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133601814","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":"Comparison between Code Clone Detection and Model Clone Detection","authors":"G. Shobha, A. Rana, Vineet Kansal, Sarvesh Tanwar","doi":"10.1109/icrito51393.2021.9596454","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596454","url":null,"abstract":"In software, clones are syntactically or semantically identical of two code fragments. Cloning by either deliberately or by coincidence. Cloning has pros and cons in software development. Bug propagation may be caused by cloning from original to copied segments. Cloning may lead to difficulties in software maintenance. Cloning is helpful in many functions like code reusability, inheritance, and libraries. Software developers before scripting the code design the model for it. Cloning can exist at any stage either at the design or coding phase, which influences on development, quality, and maintenance of the software. All software has constraints like budget and time are associated. In software development, life cycle budget and time constraints depend on irregularity and risk. These irregularities and risks can be minimized by identifying clones. There are different kinds of clones in Code and Model. In this paper, we present a concise summary of design and coding phase clone detection of these irregularities and risk as well as their for's and against of code clone detection and model clone detection.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128400842","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":"Fog computing: An overview of IoT applications with security issues and challenges","authors":"Monia, Nonita Sharma, R. Dhir","doi":"10.1109/icrito51393.2021.9596158","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596158","url":null,"abstract":"IoT (The Internet of Things) introduces a revolution into the internet and hardware business, which through sharing information connect one device to another. These IoT devices are connected with a cloud platform for several tasks, including monitoring, categorization, management and control, storage, prediction, etc. Despite all of these features, there is no real-time analysis, in-hour processing and computing, flexibility, interoperability and so on. Fog Computing is an expansion of the cloud to address IoT problems and give a decentralized method. It is connected with cloud as well as end-user to overcome the unsupported features of IoT. These Fog nodes are mobile in nature, connected with multiple local network, local storage can make them more vulnerable where attacker can easily access the information and breach the security. This paper overview the various security issues and real-time applications with possible attacks. Further, we present some of the security challenges and its possible solution. Finally, we conclude the discussion with future research.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134252140","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":"Application of Blockchain in Marketing","authors":"Richie Chhabra, Rajbir Singh, T. Bagga","doi":"10.1109/icrito51393.2021.9596328","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596328","url":null,"abstract":"Blockchain is one of the most popular upcoming technologies which has the potential to grow and disrupt the ongoing business model. Its scope is not only limited to finance but has great potential in the field of tourism, health care, supply chain, real estate, etc. Existing studies have explored its potential in financial industry and cryptocurrency. There is a great potential to explore the application of blockchain in other areas. This paper attempts to explain the application of blockchain in marketing.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"70 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132116305","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":"Compact Cross Elliptical Patch Antenna with Wideband Characteristics for IOT Applications","authors":"Namrata Choudhary, Harsh Malhotra, Naresh Kumar, Manish Sharma","doi":"10.1109/icrito51393.2021.9596321","DOIUrl":"https://doi.org/10.1109/icrito51393.2021.9596321","url":null,"abstract":"In this article we have proposes a compact size antenna for UWB and RADAR applications. It consists of a cross elliptical radiating patch connected to the microstrip line that feed to it and a rectangular ground plane on the other side of the FR_4 epoxy dielectric substrate(∊r=4.4). The size of the antenna is small having dimensions 20×28×1.6mm3. Additional to this for reducing the interference from the IEEE WiMAX band from 3.0 to 3.4 GHz an inverted T filter has been stubbed to the radiating patch by etching a square slot into it. The antenna has losses less than −10dB and positive gain in the desired operating regions for UWB and RADAR application till 12GHz. The antenna is designed and results are simulated on the HFSS software.","PeriodicalId":259978,"journal":{"name":"2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130296856","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}