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

{"title":"Vecma: An advance chess engine","authors":"Manavkumar Patel, Harshit Pandey, Tarush Wagh, Ameya Deepak Hujare, Rahul Dangi","doi":"10.1109/PuneCon55413.2022.10014895","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014895","url":null,"abstract":"With the rapid development of personal computers and the widespread use of the world wide web, the Internet has emerge as an information carrier and has gradually replaced the traditional media such as newspapers and television, becoming the main source of information. Thus effecting the popularity of traditional games like chess. As, various chess website and app appear to be on web, but there is a gap between players and Ai bots as various challenges occurs like efficiency, intelligence of the engine and engine level to mimic different player's depth. This paper propose a unique implementation on the previously based chess AI engines which increases the efficiency of computation of every move of the game tree. Vecma engine is unique Negamax implementation of game tree along with the Ideal vector value map. Proposed model focuses on parameters which are usually excluded from the other AI engines like positional king safety, optimal Queen positional advantage and the complex pawn advancement with the vector map integration for every piece. This engine also keeps a check on heuristic functional values of the future checkmate or stalemate probabilities. We have also develop a GUI which can be used as a base for developing other AI variations. With both Vector map and Negamax tree the chess engine is far more computationally efficient as compare to other chess engines.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"64 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":"133301137","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":"Real Estate Price Prediction using Supervised Learning","authors":"Vedang Matey, Nikita Chauhan, Aditi Mahale, Vidya Bhistannavar, Ajitkumar Shitole","doi":"10.1109/PuneCon55413.2022.10014818","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014818","url":null,"abstract":"The least transparent sector of our economy is real estate. Housing prices change daily and are occasionally inflated rather than based on an appraisal. The central focus of our approach is using fundamental factors to forecast house values. Here, we strive to establish our assessments on each essential aspect when deciding the house's price. In our project, three elements affect a house's price: its physical attributes, design, and location. There have been a lot of studies utilizing typical machine learning techniques to estimate house prices effectively. Still, they need to pay more attention to how well each model performs and ignore the less well-known but more sophisticated models. Our project involves predictions using different Regression techniques like Linear Regression, Lasso Regression, and Decision Tree. Our project includes estimating the price of houses without any expectations of market prices and cost increments. The project aims to predict residential prices for customers considering their financial plans and needs. This project means to predict house prices in Pune city with various regression techniques. The project aims to predict cogent housing prices for those who do not own homes depending on their financial capabilities and desires. Estimating pricing will be possible by examining the mentioned goods, fare ranges, and advancements. This initiative aims to enable individuals to pinpoint the specific timeline for home acquisition and sellers in assessing the cost of a home sale. Spending resources on web-based apps without consulting a broker will benefit clients. Additionally, it provides a brief explanation of the various graphical and numerical techniques that are required to calculate the price of a home. Our study explains the goal of machine learning, the workings of the house pricing model, and the datasets that went into developing the model we suggest. Lasso, Decision Tree, and Linear Regression were among the models looked at in the study (accuracy: 83.54 percent) (accuracy -77.88 percent).","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"106 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":"134565282","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":"Design and Development of Autonomous Mobile Robot for Mapping and Navigation System","authors":"B. Kiran, S. Karthikeyan, M. A. Suhel Pasha, K. Manjunatha, S. Manoj Kumar, Sharvin Vivian Moras","doi":"10.1109/PuneCon55413.2022.10014944","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014944","url":null,"abstract":"Mobile Robot for Mapping and Navigation is one of the challenging researches in the area of robotics. An unknown indoor and outdoor mapping in dynamic environment is used for navigation of robot. This research focuses on mapping utilizing a GMapping approach that uses simultaneous localization and mapping (SLAM). The concept of navigation or autonomous driving is used in SLAM it helps for mobile robot to move independently. SLAM and RVIZ GMapping software that is available an open source, along with the Robotic Operating System (ROS) and RPLiDAR camera, is required to map an unknown dynamic indoor environment. The laser data and navigation messages are passed to mapping in an unknowable environment, the SLAM GMapping function is taken into account. The command for autonomous navigation will be designed and delivered by the navigation stack after the mapping has been generated.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"246 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":"114124427","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 Strategy to Identify Loyalty Using Elbow Curve Method for Customer Segmentation","authors":"Baljeet Kaur, Jatinderkumar R. Saini","doi":"10.1109/PuneCon55413.2022.10014742","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014742","url":null,"abstract":"Customer segmentation is a very strong way to identify unsatisfied customers as well as loyal customers. It has become very crucial and mandatory for businesses to understand the customers and segment them according to their needs and desires. Many businesses struggle to manage cancellations and delays. The high number of cancellations is always a challenge for business houses. Every instance of cancellation can be a learning experience and an opportunity to understand the customers better. These insights can help businesses to improve their products and services. Now, as the usage of online gadgets has increased among customers and smart technologies are used in designing web applications, more data is available to understand customer behavior and predict their buying patterns. In the current era, customers are exposed to many online applications which pose tough competition among service providers. Businesses spend a lot to attract new customers. On the other side, retaining loyal customers is as crucial as identifying new customers. Identifying loyal customers helps to create a personalized approach that makes them feel valued. Understanding current customer priorities are more important than identifying the new customer. Machine learning is an effective technique to help segment loyal customers into actionable customers. This paper outlines the use of the K-means algorithm to identify loyal and prospective customers along with strategies to lower the cancellation rate. The current study uses the elbow curve method to identify the optimum number of clusters into which the customers could be segmented. This study will help businesses to seize new opportunities and gain customers for life.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"24 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":"123472724","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":"Categorization of Nutritional Deficiencies in Plants With Random Forest","authors":"K. S., Kotadi Chinnaiah","doi":"10.1109/PuneCon55413.2022.10014864","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014864","url":null,"abstract":"Agriculture supports to greater extent for the means of living in India, especially in rural areas. But generally the crop production attained by farmers would be much below the optimal production. The main reason for the crop production gap is due to the lack of essential soil nutrients and irrigation in the agricultural farms. To escalate the crop production, it is essential to balance the chemical elements or nutrients present in the soil with varying parameters of soil like the pH and soil moisture. Crop productivity can be increased to optimum level by efficient soil nutrient management. In case of Nutrient deficiencies, visual symptoms will appear on the leaf. This paper put forwards a method to identify the nutrient deficiencies of cabbage leaves by making use of visual symptoms appearing on the leaves by Classification. Seven types of deficiencies N, P, K, Ca, B, Zn and Mg are considered in this study. The proposed study consists of creation and pre- processing of a set of images consisting of nutrient deficient and healthy leaves of cabbage, feature extraction and by using Random Forest performing multi class classification of nutrient deficient leaves. The paper focuses on recognizing the visual indications of nutritional deficiency and thereafter classification.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"68 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":"121794535","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":"Vehicle Characteristic Recognition by Appearance: Computer Vision Methods for Vehicle Make, Color, and License Plate Classification","authors":"Aayush Agarwal, Sandeep Shinde, Sagar Mohite, Swati Jadhav","doi":"10.1109/PuneCon55413.2022.10014731","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014731","url":null,"abstract":"This paper intends to analyze the recognition of vehicle characteristics from appearance. In comparison to other use cases, like facial recognition, where image-based target recognition has been thoroughly researched, the field of vehicle characteristic recognition has not gotten as much attention in the literature. We use object identification algorithms and image classification methods to determine the make (manufacturer), color, and license plate information of the car. We use vehicle logos as one of the criteria so that we can distinguish between cars with similar forms from different manufacturers. Additionally, we created a scenario for recognizing car attributes in the actual world. An intelligent method for classifying various car types and detecting vehicles from traffic camera images was suggested in this study. We have shown that elements of a car, such as manufacturer and license plates, are capable of being precisely detected. The performance of the current traffic camera systems might be improved by the suggested approach.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"19 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":"122159143","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":"Simulation of a Grid Integration With Hybrid (Solar + Wind) Energy Systems by Using SPWM Inverter","authors":"Shubhangi S. Pawar, Vandana. A. Kulkarni Deodhar","doi":"10.1109/PuneCon55413.2022.10014766","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014766","url":null,"abstract":"A hybrid PV system is a system that uses at least one additional source other than PV to provide the power needs of the loads. The other sources that are commonly used in conjunction with the PV source are diesel generators, wind generators, microturbines, fuel cells, etc. Such hybrid systems are more relevant for standalone, island, or microgrid operations. The change in wind speed leads to significant changes in the generator's output power and frequency in the case of the PV-wind hybrid system. Therefore, it is desirable to convert the AC output to DC and also convert it back to AC through the inverter as revealed in the block diagram below. This arrangement represents one of the alternative ways of generating clean and forward-thinking electricity for the future generation. The 2 sources employed to generate electricity are wind and solar. The PV module's DC output and the WECS rectified DC output are fed into the boost converter, which operates in Closed Loop control to keep constant power O/P under all environmental conditions. It comprises wind turbines connected to PMSG (Permanent Magnet Synchronous Generators). A three-phase SPWM inverter uses its DC input to create a 3-phase AC output, while the O/P of the other boost converter is fed into the common link of DC, which is linked to it. The three-phase AC output is connected to the grid-tied load. The entire hybrid energy system simulation is served in MATLAB/SIMULINK.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"129 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":"122293423","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":"Preview of Trained Manpower in Electric Vehicle Sector","authors":"Gayatri K Palnitkar, A. Karandikar, P. Karandikar, S. Chaphekar","doi":"10.1109/PuneCon55413.2022.10014734","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014734","url":null,"abstract":"Segment of electrically operated vehicles will rise in coming years. Future transportation will be battery operated electric vehicles or fuel cell driven electric vehicles. There will be a huge demand for trained manpower to cater all kinds of requirements of such change in the transportation sector. Infrastructure development, vehicle development, software and IoT, service after sales requires different kinds of trained manpower. Generating such manpower is the responsibility of education policy makers. Correct predictions about growth of industry and their needs are very important. This paper presents the current situation of the electric vehicle sector and present as well as near future trained manpower available in this domain. It also discusses issues associated with scaling up of trained manpower in the electric vehicle sector. Various aspects of manpower planning, requirements, and challenges in it are brought out clearly so that policy makers can use them to transform the education sector.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"39 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":"132259897","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":"Hand Gesture Identification and Voice Command Based Hardware Reduction","authors":"Amogh Godbole, Vishal Gondke, K. Devadkar","doi":"10.1109/PuneCon55413.2022.10014943","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014943","url":null,"abstract":"The use of physical devices like mouse and keyboard to communicate to our computer has hindered the natural interface between the computer and its user. To eradicate this barrier, we have designed a virtual mouse which will act upon the various hand gestures the user provides and will help them interact with the computer in a better way. The virtual mouse control of our system will keep a track of the movements of the fingers and palm, thus providing us with a specific output based on the recognized action of our hand. The proposed model will recognize both static as well as dynamic hand gestures and the results will show that the model that has been proposed and built will intuitively interact with the computer and it can be achieved the minimum usage of any hardware requirements. Our model will also have a major advantage over the current existing models, which is, it also has the feature of voice command recognition, meaning that even if the user if not able to provide appropriate gestures using their hand due to some medical condition, they will still be able to interact with the computer via voice commands.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"136 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":"115678022","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":"Predictions of Energy Consumption of Buildings' Life Cycle to Mitigate the Effects of Climate Change with a Focus on Energy Efficiency","authors":"Prajyot Pramod Patil, S. Sondkar","doi":"10.1109/PuneCon55413.2022.10014935","DOIUrl":"https://doi.org/10.1109/PuneCon55413.2022.10014935","url":null,"abstract":"Climate change and Energy are the prominent topics addressed by researchers in the 21st century. One of the concerns shown by the researchers is the amount of CO2 emitted by buildings across the globe. In 2020, the construction and demolition of buildings accounted for 37% of all energy-and process-related CO2emissions worldwide. There are methods to reduce the effect of buildings' construction and demolition on climate. Intelligent infrastructure could be one of the solutions for energy efficiency. Energy Usage Intensity, which measures how much energy a building uses annually per total gross floor area, must be known before implementing any solutions. Contribution of this proposed work is to predict Energy Usage Intensity for buildings of different states in different weather conditions in the United States while comparing three different statistical models of machine learning to find best results of prediction.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"68 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":"125876036","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}