{"title":"Systematic Survey on SSDF Attack and Detection Mechanism in Cognitive Wireless Sensor Network","authors":"P. S. Chatterjee","doi":"10.1109/CONIT51480.2021.9498386","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498386","url":null,"abstract":"Cognitive Wireless Sensor Network (CWSN) uses the spectrum wisely in comparison to a traditional Wireless Sensor Network (WSN). The technique which enables Cognitive Wireless Sensor Network in this regard is known as Opportunistic Spectrum Sensing (OSS) for date a transfer. The OSS process significantly reduces the collisions and the delays for data delivery in a network. Several security threats are possible in this process. The Denial of Service (DoS) attack makes the network unavailable to other users. One of the most serious DoS attacks on the OSS process is the Spectrum Sensing Data Falsification (SSDF) attack. This threat arises in joint spectrum sensing decisions. Here, a malicious node makes some modification on the spectrum sensing report and send it to the system making the decision in the collaborative spectrum sensing. As a result, the network gets a false collaborative decision regarding spectrum occupancy. In this survey, we addressed the SSDF attack and its related threats in CWSN, as well as the latest state-of-the-art SSDF attack detection techniques. We have also done an analysis of those existing attack detection techniques.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120982092","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}
V. Singh, Ayushman Yadav, Rajat Awasthi, Guide N. Partheeban
{"title":"Prediction of Modernized Loan Approval System Based on Machine Learning Approach","authors":"V. Singh, Ayushman Yadav, Rajat Awasthi, Guide N. Partheeban","doi":"10.1109/CONIT51480.2021.9498475","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498475","url":null,"abstract":"Technology has boosted the existence of humankind the quality of life they live. Every day we are planning to create something new and different. We have a solution for every other problem we have machines to support our lives and make us somewhat complete in the banking sector candidate gets proofs/ backup before approval of the loan amount. The application approved or not approved depends upon the historical data of the candidate by the system. Every day lots of people applying for the loan in the banking sector but Bank would have limited funds. In this case, the right prediction would be very beneficial using some classes-function algorithm. An example the logistic regression, random forest classifier, support vector machine classifier, etc. A Bank’s profit and loss depend on the amount of the loans that is whether the Client or customer is paying back the loan. Recovery of loans is the most important for the banking sector. The improvement process plays an important role in the banking sector. The historical data of candidates was used to build a machine learning model using different classification algorithms. The main objective of this paper is to predict whether a new applicant granted the loan or not using machine learning models trained on the historical data set.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127208633","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":"Total Electron Content Estimation and Comparison Using Multi-GNSS (GPS, GLONASS, GALILEO and BeiDou) Constellations","authors":"S. T. Ahmed, K. Swamy","doi":"10.1109/CONIT51480.2021.9498542","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498542","url":null,"abstract":"From the past few years the number of applications has been increasing for Global Navigation Satellite System, which consists GPS of Americans, Russians GLONASS, GALILEO of Europeans and Chinese BeiDou. Apart from GNSS, the regional navigation systems; QZSS of Japanese and NavIC of Indians were also developed. One of the major applications of GNSS is to study the ionosphere propagation medium behaviour by estimating TEC, Scintillations and Faraday rotation of electromagnetic waves. The main objective of this research paper is to estimate and compare TEC by using signals of multiple GNSS constellations over the receiver located at GPCET, Kurnool (15.79 0 N, 78.07 0 E), India. For this an experimental setup was established with multi frequency GNSS receiver and TEC of ionosphere estimated using the data of a typical day October 07, 2020. By analysing the results the maximum TEC (190.52 TECu) found along the GALILEO E08 signal path which was received at an elevation angle of 27o. Further the results confirmed that the data of multiple constellations can be used to study the ionosphere medium.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127533173","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}
Rohit Gambhir, Shashank Bhardwaj, Adwait Kumar, R. Agarwal
{"title":"Severity Classification of Diabetic Retinopathy using ShuffleNet","authors":"Rohit Gambhir, Shashank Bhardwaj, Adwait Kumar, R. Agarwal","doi":"10.1109/CONIT51480.2021.9498569","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498569","url":null,"abstract":"In India, the number of people living with diabetes is about 72.96 million and large proportion of people suffer from Diabetic Retinopathy which is caused due to elevated level of blood sugar in a diabetic patient that can harm the retina of person and may lead to permanent blindness. The detection of Diabetic Retinopathy is being practiced in such a way that it still needs complex human efforts. The need of the hour is to discover new and better methods that can help further improve identification and treatment of DR (Diabetic Retinopathy). This paper proposes a different method and model to identify and distinguish DR into various severity levels. A novel approach is introduced to detect Diabetic Retinopathy using Shufflenetv2 which is Convolutional neural network. The results are better when compared to other models in literature. Smooth L2 loss function has been used to depict the errors and analyze the results.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125026520","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":"Smart Grid and IEC 61850","authors":"P. Rai, A. Mishra, Abhijeet Lal","doi":"10.1109/CONIT51480.2021.9498555","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498555","url":null,"abstract":"This paper presents a study on Smart Grid and communication standard IEC 61850. A Smart Grid is an electric power network that aims at providing economically efficient and sustainable power system through seamless integration of actions of all generation, transmission, distribution utilities and consumers in order to achieve low distribution losses, to improve quality and reliability of power supply without compromising security and safety of equipment and personnel. IEC 61850 is a family of communication standards that specifies protocols of naming devices, data and communication network pertaining to automation of electric power substation. It is has been adopted by utilities all over the world for data communication in the substation. Central utility and some state utilities in India have either developed or in the process of their own communication network with the help of Optical Ground Wire (OPGW) which will facilitate implementation of smart grid in a big way. This paper discusses use of IEC 61850 communication standard not only to develop cost effective and efficacious substation automation systems but also to realize various goals of smart grid applications and objectives. In this paper, a brief introduction of Smart Grid, IEC61850 and a summary of contents of IEC 61850 are presented sequentially, followed by an overview of implementation of IEC 61850 on Smart grid. Next, the challenges of IEC 61850 implementation on Smart grid are discussed. Thereafter, a case study of steps taken by an Indian state for adopting Smart grid is discussed. Subsequently, issues faced in development of Smart grid are presented along with suggestions and future R&D avenues. The paper concludes with a brief account on benefits and challenges of implementing IEC61850 on Smart grid.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125855601","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":"Frequency Control Ancillary Services in Power System with Integration of PV Generation","authors":"H. Nerkar, P. Kundu, A. Choudhury","doi":"10.1109/CONIT51480.2021.9498344","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498344","url":null,"abstract":"The clean energy sources are the future of the power generation to fulfill the increasing electricity demand. The Renewable Energy Sources (RESs) are uncertain in nature; hence it is very challenging to integrate the RES in to the existing power system. These converter-based generators are not equipped with frequency control system. The conventional generators have automatic generation control for the primary and secondary frequency control purpose. The stored kinetic energy (KE) in the rotor of the generator provides inertial response at the disturbances. The RES already operating on the maximum power mode hence there is no accommodation of the active power for the primary and secondary frequency control. The rotating parts are absent in the inverter dominated system hence there is no room to provide inertial response. While considering this issue of absence of frequency control in converter-based system. There is need to approach for the frequency control ancillary services in RES integrated system to maintain the power system stability. This paper is basically focusing on the inertial response in addition with primary frequency control in RES integrated system. An inertial response control emulates the inertial power virtually through the energy stored in the DC-link. It improves frequency response and reduces the frequency nadir. For primary frequency control the external energy storage system is used to provide the additional active power to maintain the frequency at nominal value. To demonstrate this the simulation is done in MATLAB 2019a. The analysis of simulation results shows that, the frequency control in PV generation enhances the frequency stability.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123717833","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}
Manish Kotni, Kacham Sujith Kumar, JayaSaiVarshith Kambhampati, Harshavardhan Polanki, P. R. Mudimela
{"title":"User Centric Hospital Automation System Using Intranet","authors":"Manish Kotni, Kacham Sujith Kumar, JayaSaiVarshith Kambhampati, Harshavardhan Polanki, P. R. Mudimela","doi":"10.1109/CONIT51480.2021.9498481","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498481","url":null,"abstract":"Nowadays, Health is the most crucial part of one’s life, Health care is one of the prominent sectors which play a vital role in the day-to-day life. This work discusses the automation of the health care sector using noteworthy technologies like Wireless Sensor Networking (WSN), Intranet topologies and Web development. Apart from innovation and automation, In the health care sector, this work shows a unique approach with the help of RSSI, Dual-band frequencies and adaptive n triangle algorithm which are an integral part of WSN. This work is a thoughtful combination of WSN, intranet & web development which ensures a typical Security that protects from intruders. This work proposes both hardware and software-based approach, where the hardware part consists of Single Board Computers and networking devices. In the software part, there are a heap of languages and tools used likewise HTML, CSS, PHP, SaaS, JavaScript and for database management MySQL is used. This is a structural work that creates a webserver using the intranet topologies where a dynamic website is hosted over the SBC. This website consists of appointment booking, doctors scheduling, medical screening, internal navigation in the hospital with the WSN, RSSI and dual-band technologies, medical facilities and many more. Finally, this work shows an adaptive & innovative solution that can amplify the efficiency of the health sector.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126731685","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":"Comparative Study of Major Algorithms for Pest Detection in Maize Crop","authors":"D. Sheema, K. Ramesh, P. Renjith, A. Lakshna","doi":"10.1109/CONIT51480.2021.9498280","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498280","url":null,"abstract":"Early-stage control of maize plant pest is a big issue in precision agriculture. Farmers can prevent pest only if they identified as early as possible and can avoid economic losses also. This type of process can minimize the usage of pesticides and can bring healthy crop. Here algorithm features are takes place for comparative study to identify the training time, training data, merits, demerits and accuracy. In this study, we found Faster R-CNN is good in accuracy but time delay was high. Faster R-CNN convolutional neural network is desirable to develop user friendly system for the farmers that can automatically identify pest. The object detection method can be further improved by adopting the proposed model. We proposed new algorithm to replace the drawback and to provide best result in both accuracy and time delay. IoU method supports to find the prediction object from the real object, hence the pest can identify from the crop. The pseudocode can use to develop the real time system to bring out the process in effective and also efficient manner. Some of the samples have initialize to check the performance metrics of the proposed algorithm.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115527807","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":"Natural Language to Python Source Code using Transformers","authors":"Meet Shah, Rajat Shenoy, R. Shankarmani","doi":"10.1109/CONIT51480.2021.9498268","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498268","url":null,"abstract":"Writing code using natural language is a very exciting application of Neural Machine Translation. To achieve a small part of such an application, in this paper, we try to generate python source code snippets from natural English language descriptions using the Django dataset. We trained the self-attention based transformer architecture on the snippets from the dataset. We achieved a BLEU score of 64.29","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122819404","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}
Manoj Kumar, S. Gaurav, Suhail Ak̲h̲tar, Siddharth Varshney
{"title":"Extracting Notes From Youtube Video","authors":"Manoj Kumar, S. Gaurav, Suhail Ak̲h̲tar, Siddharth Varshney","doi":"10.1109/CONIT51480.2021.9498392","DOIUrl":"https://doi.org/10.1109/CONIT51480.2021.9498392","url":null,"abstract":"In the world of technology, every B.tech student in our college uses Youtube to study the night before the exam, it will be of better use if there is an algorithm that can also provide notes for that video to look for last-minute revision. Hand-written notes are to be carried in a notebook, tedious to maintain for a long time. If a student wishes to pause and take notes, it will consume double the regular time of that streaming video. Those notes might or might not be used in the future or maybe not give proper context if the original content of the video is forgotten. In this project we are extracting frames from a presentation-based youtube video after every fixed time interval, using optical character recognition techniques on these images to make notes of the content written in a youtube video. Users will give the link of the desired youtube video and a pdf/doc file containing all the sentences shown in a video will be in the output. Students will just have to edit and delete some extra material that is not needed in notes. In the upcoming era education will bend more towards paperless, so to maintain the standards all the notes will be generated using this concept. Though it may sound simple it is a bit complex as to know when to extract data from given frame or how to handle cases when some person come in between the video. All this challenges will be major challenges in the future and will require a solution our idea is the first step towards this future.","PeriodicalId":426131,"journal":{"name":"2021 International Conference on Intelligent Technologies (CONIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114596640","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}