2022 IEEE Pune Section International Conference (PuneCon)最新文献

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A Case Study on Use of Blockchain Technology as a Dominant Feature to Issue and Verify Documents Required for Admission to UG/PG Technical Programs in Maharashtra (India) 印度马哈拉施特拉邦(Maharashtra)使用区块链技术作为主要特征来签发和验证UG/PG技术课程入学所需文件的案例研究
2022 IEEE Pune Section International Conference (PuneCon) Pub Date : 2022-12-15 DOI: 10.1109/PuneCon55413.2022.10014917
Anand Jain, Darshana Desai, Rajkamal Sangole
{"title":"A Case Study on Use of Blockchain Technology as a Dominant Feature to Issue and Verify Documents Required for Admission to UG/PG Technical Programs in Maharashtra (India)","authors":"Anand Jain, Darshana Desai, Rajkamal Sangole","doi":"10.1109/PuneCon55413.2022.10014917","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014917","url":null,"abstract":"Paper-based documents are required at the time of admission to UG/PG programs in Maharashtra. Candidates are eligible for admission if they are fulfilling all eligibility criteria and possess all the required documents. These documents are verified by the verification officer at prescribed centers. This manual verification of documents is error-prone. Also, the candidate may not have all the required documents atthe time of admission because of the delay in issuing those documents from concerned authorities of the government. Documents in physical form are also prone to manipulation and are vulnerable to fraud. There are industries and institutes that are working on a blockchain-based solution to issue the certificates, but there are many other documents that are required for the admission such as SSC and HSC certificates, Domicile and Nationality Certificates, Caste related certificates, and other proformas and certificates as applicable. Many times, candidates are not able to produce these documents on time and also these documents are vulnerable to fraud. The framework proposed in this study addresses the challenges related to issuing of the documents by government and education-institute authorities; availability of documents with candidates; and verification of the documents by admission-related authorities. Blockchain provides a secure and reliable way for saving data, running transactions, performing activities, and trust-building. For many, Blockchain is a thoroughgoing technology in the crypto domain, its applications range from Banking, Supply Chain Management, Cryptocurrency, Governance, etc. Publications by industries and scholars, website resources, and UG/PG admission brochures by DTE are utilized to develop this study.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132822651","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
IoT Based Intelligent Healthcare Monitoring System 基于物联网的智能医疗监控系统
2022 IEEE Pune Section International Conference (PuneCon) Pub Date : 2022-12-15 DOI: 10.1109/PuneCon55413.2022.10014722
Anuradha Bakare, Neha Dutte, Asha Sanap
{"title":"IoT Based Intelligent Healthcare Monitoring System","authors":"Anuradha Bakare, Neha Dutte, Asha Sanap","doi":"10.1109/PuneCon55413.2022.10014722","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014722","url":null,"abstract":"IoT and sensor networks will be the best choice for Information gathering and monitoring in the current situation. IoT provides a number of applications on the basis of sensors in the field of research as well as educational fields. For Health care system monitoring and management Wireless body area network (WBAN) mostly used in recent applications. This paper proposed a monitoring system to help patients and doctors within the hospital area. It focuses on evaluating scalability, reliability, convenience and effectiveness for the IoT based system. Real time health related information collection, monitoring, prescription management and analysis discussed in this paper. Network simulator used to determine performance of proposed system and it compares with different communication protocols for determining better technique for Health monitoring.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134330570","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
Best-Fit: Best Fit Employee Recommendation 最适合:最适合的员工推荐
2022 IEEE Pune Section International Conference (PuneCon) Pub Date : 2022-12-15 DOI: 10.1109/PuneCon55413.2022.10014834
S. Raut, Aniket Rathod, Piyush Sharma, Pranil Bhosale, Bhushan Zope
{"title":"Best-Fit: Best Fit Employee Recommendation","authors":"S. Raut, Aniket Rathod, Piyush Sharma, Pranil Bhosale, Bhushan Zope","doi":"10.1109/PuneCon55413.2022.10014834","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014834","url":null,"abstract":"In this fast-growing world, there is huge competition in the market for employees. It becomes a tough task from an HR perspective to keep the most talented resources in the company to benefit the productivity of the company because every employee is a valuable asset. Employees tend to shift their current jobs numerous times due to various reasons and therefore employee turnover becomes a serious issue in this challenging world. This paper focuses on resolving the problem of employee attrition using classification algorithms like random forest, logistic regression and SVM on the IBM attrition dataset. If a valuable employee leaves an organization or gets promoted it becomes a difficult and tedious task to replace the employee. Architecture has been proposed in this paper which uses Random forest, SVM, Decision tree classifiers and similarity techniques to find the closest employees suitable for the vacancy. This includes finding similarities in the skills, qualifications and experience. Pre-trained word vectors are used to generate GloVe embeddings for finding document similarity. A personality match between two employees is calculated by taking a big five personality test, followed by clustering and finding the euclidean distance between two answer vectors in the same cluster. Best-Fit will finally recommend best-fit employees on the basis of resume match, personality match and retention probability.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133975927","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
Augmented Reptile Feeder 增强型爬行动物喂食器
2022 IEEE Pune Section International Conference (PuneCon) Pub Date : 2022-12-15 DOI: 10.1109/PuneCon55413.2022.10014933
Puja Chavan cholke, Pritam Shinde, Pratiksha Shinde, S. Shinde, Shobit Shinde, Suyash Shinde
{"title":"Augmented Reptile Feeder","authors":"Puja Chavan cholke, Pritam Shinde, Pratiksha Shinde, S. Shinde, Shobit Shinde, Suyash Shinde","doi":"10.1109/PuneCon55413.2022.10014933","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014933","url":null,"abstract":"This paper describes a method of gaming based on AR[Augmented Reality] and Computer Vision in the field of AI[Artificial Intelligence]. AI and AR include a wider range of applications in upcoming technologies. These technologies are becoming an integrated part of our way of life. These technologies are gaining more popularity in the gaming sector. AR games achieve popularity with the masses, causing growing addiction. We have developed a game called Augmented Reptile Feeder (ARF). We describe an algorithm based on the hand tracking module. The Augmented Reptile Feeder system is intended for 2D gaming innovations with real world interaction. This will be achieved by tracking the movements of the index finger using hand detection in the CV zone. Operating this game is pretty simple and straightforward for users. ARF ultimately provides an enhanced platform unlike the rest available in the gaming market.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130875208","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
Green synthesis and Characterization of Ag-PANI (Polyaniline) Nanocomposite and its Application as a Carboxylate Vapour Sensor ag -聚苯胺纳米复合材料的绿色合成与表征及其在羧酸盐蒸汽传感器中的应用
2022 IEEE Pune Section International Conference (PuneCon) Pub Date : 2022-12-15 DOI: 10.1109/PuneCon55413.2022.10014787
Madhura S. Walujkar, P. More, Sharda R. Gadale, S. Waghmode
{"title":"Green synthesis and Characterization of Ag-PANI (Polyaniline) Nanocomposite and its Application as a Carboxylate Vapour Sensor","authors":"Madhura S. Walujkar, P. More, Sharda R. Gadale, S. Waghmode","doi":"10.1109/PuneCon55413.2022.10014787","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014787","url":null,"abstract":"This article explains the detection of carboxylate vapour in low quantities, which is crucial for both human health and the chemical industry (minimum 30 ppm and maximum 130 ppm). Results of the production of a silver-polyaniline (Ag-PANI) nanocomposite and an analysis of an optical fibre gas sensor using an evanescent wave were discussed. Here, the sensor was created by depositing Ag-PANI nanocomposite on the cladding of an optical fibre and testing it in the range of 30 ppm to 130 ppm carboxylate vapour concentration from natural extracts. Through the use of X ray diffraction analysis (XRD), field emission scanning electron microscopy (FESEM), and Fourier-transform infrared spectroscopy (FTIR), structural, morphological, and optical features of the produced nanocomposites were examined. A 2.0 mM mole concentration of Ag-PANI nanocomposite was optimised for the experiment. Researchers looked at the fluctuation in carboxylate vapour concentration and the sensing response of optical fibre cladding coated with an improved Ag-PANI nanocomposite (2.0 mM) on carboxylate vapours from a natural extract of lemon juice. At lower concentrations (12 ppm) acetic acid, acetone, ammonia, and ethyl alcohol were detected using the performance of manufactured nanocomposites as a sensor. The Ag-PANI nanocomposite appears to be a promising, economical, and environmentally friendly nanocomposite for high performance carboxylate vapour sensors, and it may be further developed as a prototype in the future for the market.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129667594","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
The Secure E-Wallet Powered by Blockchain and Distributed Ledger Technology 由区块链和分布式账本技术驱动的安全电子钱包
2022 IEEE Pune Section International Conference (PuneCon) Pub Date : 2022-12-15 DOI: 10.1109/PuneCon55413.2022.10014893
Nilesh P. Sable, Vijay U. Rathod, Rachna Sable, G. Shinde
{"title":"The Secure E-Wallet Powered by Blockchain and Distributed Ledger Technology","authors":"Nilesh P. Sable, Vijay U. Rathod, Rachna Sable, G. Shinde","doi":"10.1109/PuneCon55413.2022.10014893","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014893","url":null,"abstract":"Last decade had been worst for humanity as it faced Covid-19. The pandemic invited many things unknown to humans such as lockdown, compulsory mask and no contact with other people or things. The ‘No Contact’ initiated much awaited progress in payment from being entity exchange to being digital. The digitization of payment became biggest transformation; every common citizen realized the use of digital payment. The evolution of cash payment to internet banking and internet banking to e-wallet has made transaction easier for all the services without exhibiting physical form. Payment Gateways, Digital Wallet, Internet Banking use has risen as being fast and instant. Though the recent payments are secure on theft front with the use of digital money by many users at many times online payment system might face problem on digital money transfer with issues such as wrong payment, link failure or single point failure. There might be more problems such as insider problem and transaction being transparent. For such situations more secure and private path towards security is needed as insufficiency will give rise to risk mitigation. The paper recommends a payment system which will be based on privacy and permission laid by blocks to blocks for use in financial sector. The architecture proposed integrates the digital wallet with different banks to give foundation of Blockchain for secure transactions. The peer to peer network will share transactions as well share load to minimize load on central banking system keep the load distributed and secure overall data centres.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124319204","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: 2
Magnitude Prediction Model for Japan Seismic Tremors Using Artificial Neural Network 基于人工神经网络的日本地震震级预测模型
2022 IEEE Pune Section International Conference (PuneCon) Pub Date : 2022-12-15 DOI: 10.1109/PuneCon55413.2022.10014739
R. S. Kamath, R. Kamat
{"title":"Magnitude Prediction Model for Japan Seismic Tremors Using Artificial Neural Network","authors":"R. S. Kamath, R. Kamat","doi":"10.1109/PuneCon55413.2022.10014739","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014739","url":null,"abstract":"The artificial neural network (ANN) model for predicting seismic tremor magnitudes for Japan is portrayed in this paper. The authors have retrieved the earthquake dataset from European-Mediterranean Seismological Center for this study. The dataset comprises a list of 5000 quake events that occurred from 1st July 2010 to 14th April 2016 in the region of Japan. Different neural network structures and ANN configurations exemplify the ANN model construction. The experiment is carried out by fine-tuning network variables such as type, transfer function, training function, and hidden neurons. The forecast accuracies of each of these network configurations are compared. The resultant ANN model features Levenberg-Marquardt backpropagation method for training the model, the nonlinear sigmoid activation function for the hidden layer, and the model's performance is evaluated concerning Mean Squared Error (MSE) and Gradient (g).","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121020609","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
Apollo XXI - an Astronomy Portal 阿波罗21号——天文传送门
2022 IEEE Pune Section International Conference (PuneCon) Pub Date : 2022-12-15 DOI: 10.1109/PuneCon55413.2022.10014774
Spurthi Bhat, Rutuja Bhirud, Vaishnavi Bhokare, Pushkar S. Joglekar
{"title":"Apollo XXI - an Astronomy Portal","authors":"Spurthi Bhat, Rutuja Bhirud, Vaishnavi Bhokare, Pushkar S. Joglekar","doi":"10.1109/PuneCon55413.2022.10014774","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014774","url":null,"abstract":"Astronomers have to deal with complex data to gain important insights which is a time-consuming task. Machine Learning techniques can help astronomers to analyze astronomical data in a simplified manner. The proposed web application consists of three different models. The first model can predict whether some meteor shower can be seen from a particular location along with the date and the name of the meteors. The proposed model is found to be 100% reliable in the experiments carried out so far. The second model can predict whether a celestial body is a candidate, confirmed or false positive instance of an exoplanet, based on the Kepler telescope data. This model uses random forest classifier and the accuracy achieved is 90.1%. The third model can predict whether there will be a delay in rocket launch according to different weather conditions. This model is based on decision tree classifier and has an accuracy of 98.3%.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"130 18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121030527","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
Artificial Intelligence and Deep Learning based Face Mask Detection System using Generic Camera 基于人工智能和深度学习的人脸检测系统
2022 IEEE Pune Section International Conference (PuneCon) Pub Date : 2022-12-15 DOI: 10.1109/PuneCon55413.2022.10014873
Chetan H. Patil, H. Patil, S. Mali
{"title":"Artificial Intelligence and Deep Learning based Face Mask Detection System using Generic Camera","authors":"Chetan H. Patil, H. Patil, S. Mali","doi":"10.1109/PuneCon55413.2022.10014873","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014873","url":null,"abstract":"In the past two years 2020 and 2021, the COVID-19 outburst has had a serious effect on human life. The effects and side effects of COVID-19 are being stroked in almost every discipline relevant to survival and development. The healthcare system was in a problematic situation during this tough time in pandemic situation all over the world. One of the many precautions and protections used to break the chain of spreading of this virus is wearing a mask and keeping safe distance. In a network of smart cities where entirely public spaces are monitored by Closed-Circuit Television (CCTV) cameras, we are offering a strategy in this study that restricts the spread of COVID-19 by identifying people not wearing mask. The network alerts the proper authority whenever a person without a mask is discovered. It is believed that our research will help many countries throughout the world stop the spread of this infectious disease. We've examined this on 200 real people in the present, with a 100% success rate. It is also observed that when more than one person in front of CCTV success rate reduced exponentially","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133516433","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
Crop Yield Prediction and Recommendation System 作物产量预测与推荐系统
2022 IEEE Pune Section International Conference (PuneCon) Pub Date : 2022-12-15 DOI: 10.1109/PuneCon55413.2022.10014957
Sagar Raskar, Aditya Abhang, Nachiket Pethe, V. Attar
{"title":"Crop Yield Prediction and Recommendation System","authors":"Sagar Raskar, Aditya Abhang, Nachiket Pethe, V. Attar","doi":"10.1109/PuneCon55413.2022.10014957","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014957","url":null,"abstract":"Crop yield prediction is a highly composite task influenced by several factors such as state, district, area, rainfall, temperature, soil factors, and many more. For accurate yield prediction, we are required to figure out the functional relationship between the yield and the above-mentioned factors. Comprehensive datasets and powerful algorithms are required to reveal such relationships. This paper is focused mainly on predicting the yield of the crop along with crop recommendations by applying various machine learning techniques. The models going to be used here include Decision Tree and Random Forest. The prediction made by these models will help the farmers to come to a decision on which crop to grow to induce the most yield by considering factors like temperature, rainfall, area, etc. Most of the times farmers consistently grow one crop on one soil for years which reduces the nutrients of the soil, hence a crop recommendation system influenced by the factors such as rainfall, annual temperature, soil content, and type, etc becomes important which saves the soil from getting exhausted while also giving a good return to the farmers.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122749942","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
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