2021 IEEE Pune Section International Conference (PuneCon)最新文献

Analysis of WBC, RBC, Platelets Using Deep Learning 利用深度学习分析白细胞、红细胞、血小板

2021 IEEE Pune Section International Conference (PuneCon) Pub Date : 2021-12-16 DOI: 10.1109/punecon52575.2021.9686524

Srushti Shinde, Jui Oak, Kajal Shrawagi, P. Mukherji

{"title":"Analysis of WBC, RBC, Platelets Using Deep Learning","authors":"Srushti Shinde, Jui Oak, Kajal Shrawagi, P. Mukherji","doi":"10.1109/punecon52575.2021.9686524","DOIUrl":"https://doi.org/10.1109/punecon52575.2021.9686524","url":null,"abstract":"Human blood composition is mainly described into three components which are White Blood Cell (WBCs), Red Blood Cell (RBCs) and platelets. The Complete Blood Cell (CBC)count is used to diagnose the health of a particular person. Proper identification of blood components is the major factor for various uncertainties and health issues in the human body. This paper deals with the analysis of different blood cells using the You Only Look Once (YOLO) framework and has been trained with a dataset of blood smear images taken from BCCD (Blood Cell Count and Detection). Diseases such as dengue, bone marrow disorder, thyroid condition, iron deficiency require blood cell count for the diagnosis. Ordinary methods used in the hospital laboratories require counting of blood cells manually using devices. This led to imprecise outcomes which were strenuous, slow and laborious. The proposed method focuses on obtaining better accuracy with YOLOv5 as compared to previous versions of YOLO models which is based on automatic detection, segmentation and count of each blood cell from blood smear images. Also, Real time implementation can take place and immediately results can be sent for further diagnosis of patient. The main objective of this paper is to identify three major categories of blood cells and improved accuracy is achieved for detection and segmentation of blood cells. The outcome of the experiment on YOLO v5s concludes that highest mAP was observed for 8 batches,75 epochs with mAP value as 93%.","PeriodicalId":154406,"journal":{"name":"2021 IEEE Pune Section International Conference (PuneCon)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125439356","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

Study on Aerodynamic Characteristics of Distributed Propulsion System (DPS) 分布式推进系统(DPS)气动特性研究

2021 IEEE Pune Section International Conference (PuneCon) Pub Date : 2021-12-16 DOI: 10.1109/punecon52575.2021.9686537

Tathagat Bhalerao, Divyansh Bhatt, Ajinkya Darekar, D. Bajaj

{"title":"Study on Aerodynamic Characteristics of Distributed Propulsion System (DPS)","authors":"Tathagat Bhalerao, Divyansh Bhatt, Ajinkya Darekar, D. Bajaj","doi":"10.1109/punecon52575.2021.9686537","DOIUrl":"https://doi.org/10.1109/punecon52575.2021.9686537","url":null,"abstract":"The distributed propulsion system is a recent year concept used to improve Flight performance. Distributed propulsion (DP) is a type of propulsion system in which thrust is delivered by multiple propellers arranged on the wings leading edge to improve Aircraft's aerodynamic performance and decrease fuel consumption, emissions, noise, landing distance, and for better maneuverability. Several studies have reported on distributed propulsion systems but it introduces a lot of information regarding electric propulsion and development of advanced propulsion systems, Distortion of flow inside propeller blade and challenges of a Working distributed propulsion mechanism for the future Electric driven passenger and general aviation aircrafts but there was no special study happened on the comparison of DPS aircraft with any typical type of Aircraft. In this project, we compared the aerodynamic characteristics of DPS aircraft with Normal typical Aircraft. The Computational Fluid Dynamics simulation were carried out in Fluent. The meshing is Done in the Hypermesh. The study results are, for Aircraft with Distributed propulsion system, the L/D is 2.922, and for Aircraft, without Distributed propulsion system, L/D is 1.64 This study compared and shown that DPS aircraft is beneficial over other typical Aircraft in terms of Lift to Drag ratio as aerodynamics characteristic.","PeriodicalId":154406,"journal":{"name":"2021 IEEE Pune Section International Conference (PuneCon)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122126507","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

Longitudinal Collision Avoidance In Self-Driving Vehicles Using Deep Learning And Particle Swarm Optimization 基于深度学习和粒子群优化的自动驾驶汽车纵向避碰

2021 IEEE Pune Section International Conference (PuneCon) Pub Date : 2021-12-16 DOI: 10.1109/punecon52575.2021.9686482

Tejashri Kelhe, Devika S. Nair, Gayatri Kulkarni, A. Deshpande

引用次数: 0

A Novel Approach: Bioeconomy & Industry 5.0 Enhanced version 新方法:生物经济与工业5.0增强版

2021 IEEE Pune Section International Conference (PuneCon) Pub Date : 2021-12-16 DOI: 10.1109/punecon52575.2021.9686495

P. Chaudhari, Ravindra Utgikar, Bhooshan P. Kelkar, P. Borse

{"title":"A Novel Approach: Bioeconomy & Industry 5.0 Enhanced version","authors":"P. Chaudhari, Ravindra Utgikar, Bhooshan P. Kelkar, P. Borse","doi":"10.1109/punecon52575.2021.9686495","DOIUrl":"https://doi.org/10.1109/punecon52575.2021.9686495","url":null,"abstract":"The paper discusses the inevitability of Industry 4.0, with two versions of Industry 5.0 - human-robot collaboration and bioeconomy recognizing that instead of considering these advances as threats, the technological enablement should be viewed as an opportunity. The third dimension of inclusive and human centric growth, brought in by Society 5.0 is also put into light. The main thrust of this paper is underscoring the need and imperative nature, of striking a balance between technological advances, human factors and inclusiveness and ecological balance. This balance, termed as “Mahat”, is embodied in the proposed “Enhanced version of Industry 5.0”. While this version is global in nature, the paper also illustrates how critical it is especially for India vis-a-vis agrarian nature and young age of India with demographic dividend. Bioeconomy is bound to complement multitude of technological advances as well as inclusive growth. Theoretical and practical view on the concept of bioeconomy is elucidated. Having identified the limitations, the paper proposes how bioeconomy will play a pivotal role in the global and especially Indian context and presents many policy level suggestions to account for bioeconomy gaining prominence in balancing the proverbial 3 Ps viz. People, Planet and Profits, in a sustainable manner.","PeriodicalId":154406,"journal":{"name":"2021 IEEE Pune Section International Conference (PuneCon)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127695089","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

Emotion Linked AIoT Based Cognitive Home Automation System with Sensovisual Method 基于感知视觉方法的情感关联AIoT认知家庭自动化系统

2021 IEEE Pune Section International Conference (PuneCon) Pub Date : 2021-12-16 DOI: 10.1109/punecon52575.2021.9686498

V. K. Patil, Omkar Hadawale, V. Pawar, Mayank Gijre

{"title":"Emotion Linked AIoT Based Cognitive Home Automation System with Sensovisual Method","authors":"V. K. Patil, Omkar Hadawale, V. Pawar, Mayank Gijre","doi":"10.1109/punecon52575.2021.9686498","DOIUrl":"https://doi.org/10.1109/punecon52575.2021.9686498","url":null,"abstract":"This paper focuses on research done for implementation of emotion linked Artificial Intelligence of Things based smart Home Automation System. Previously, Home automation research scope was limited to either remote controlled systems or voice operated commands-based systems or virtual assistant-based systems. The problem with these systems was they were not self-adapting systems nor emotion-based mood enhancing systems. Our Proposed system combines real-world data for emotion awareness, sensing, learning, and decision-making. The proposed system is milestone in Smart home journey because, it is enhancing the systems security, efficiency and user experience. Thus, we present a cognitive intelligent home automation system featuring computer vision, environmental sensing, data processing, learning, and adaptation capabilities. Face recognition-based door access control used in the proposed system allows access only to authorized user. Further, Convolutional Neural Network and support vector machine algorithm-based emotion detection is implemented. The system recognizes emotions on the user's face and enhances user experience by controlling the ambient light as per the mood/emotion of the user. To implement system, we have used the methodology with different modes of operations such as privileged mode, non-privileged mode, intelligent mode, manual mode. We are proposing the “sensovisual” term in this paper which is combination of the sensor and visual method for smart home automation.","PeriodicalId":154406,"journal":{"name":"2021 IEEE Pune Section International Conference (PuneCon)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128122499","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

A Review On Determination Of Soil Organic Matter and Soil Moisture Content Using Conventional Methods And Image Processing Techniques 土壤有机质和土壤水分的常规测定方法及图像处理技术研究进展

2021 IEEE Pune Section International Conference (PuneCon) Pub Date : 2021-12-16 DOI: 10.1109/punecon52575.2021.9686478

Vaishali S. Patil, S. A. Shinde, Nandkishor M. Dhawale

{"title":"A Review On Determination Of Soil Organic Matter and Soil Moisture Content Using Conventional Methods And Image Processing Techniques","authors":"Vaishali S. Patil, S. A. Shinde, Nandkishor M. Dhawale","doi":"10.1109/punecon52575.2021.9686478","DOIUrl":"https://doi.org/10.1109/punecon52575.2021.9686478","url":null,"abstract":"Soil Organic Matter (SOM) and Soil Moisture Content (SMC) are very useful and important soil properties through which it is possible to monitor agricultural treatments of chemical inputs to soil for the plants. One of the physical benefit of SOM is it gives aggregate stability which results in reduce crusting, improves water holding capacity, improves water filtration capacity and pour space and air distribution by increasing SOM content. Soil moisture tension is the density of water holding capacity. The different types soil analysis techniques are available, but traditional methods are laborious time consuming as well as do not guaranteed accuracy of information in short window of time needed during the crop growing seasons. So there is need to seek for easier and proper methods of analyzing soil that are simple, precise, quick and economical in labs or/and in field. Researchers have studied the estimation of various methods for rapid quantification and monitoring of some surface soil properties such as SOM and SMC. The purpose of this work is to explore the possibilities and limitations of traditional and new techniques for soil analysis. Therefore, the review has been carried out for the determination of SOM and SMC using image processing.","PeriodicalId":154406,"journal":{"name":"2021 IEEE Pune Section International Conference (PuneCon)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132354393","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

NIR Spectroscopy Based Milk Classification and Purity Prediction 基于近红外光谱的牛奶分类与纯度预测

2021 IEEE Pune Section International Conference (PuneCon) Pub Date : 2021-12-16 DOI: 10.1109/punecon52575.2021.9686473

Atharva Deshpande, Shreyash Deshpande, Shaunak Dhande

引用次数: 2

Analyzing the Impact of Domestic Violence on Social Media using Natural Language Processing 利用自然语言处理分析家庭暴力对社交媒体的影响

2021 IEEE Pune Section International Conference (PuneCon) Pub Date : 2021-12-16 DOI: 10.1109/punecon52575.2021.9686490

Krishna More, Frason Francis

{"title":"Analyzing the Impact of Domestic Violence on Social Media using Natural Language Processing","authors":"Krishna More, Frason Francis","doi":"10.1109/punecon52575.2021.9686490","DOIUrl":"https://doi.org/10.1109/punecon52575.2021.9686490","url":null,"abstract":"Due to the rapid advancement in social media and technology, it generates a large amount of data in different areas of applications. Social media analysis and text mining are all about collecting the most valuable data and drawing actionable conclusions. Text mining also referred to as data mining it is which contains various nodes in the form of data which is often linked together to form a pattern. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. In this study we have analyzed and mounted social media data from Twitter, new articles, and Reddit which suggest that domestic abuse is acting as an opportunistic infection, flourishing in the condition created by the pandemic. The computing tweet sentiments of domestic violence amongst various social media platforms is a major factor of concern. We have used several topic modeling techniques such as Latent Semantic Analysis (LSA) uses a bag of words model, Hierarchical Dirichlet Process (HDP) is a nonparametric Bayesian model for clustering problems, and Latent Dirichlet Allocation (LDA) is a generative probabilistic model for collections of discrete data. Therefore, in this project, we tend to propose a deeper insight into the rise in domestic violence on social media and to provide a holistic approach to tackle this situation.","PeriodicalId":154406,"journal":{"name":"2021 IEEE Pune Section International Conference (PuneCon)","volume":"31 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128913290","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

Plant-Wise Comparison of Various CNN Algorithms for Detection of Pest Infestation 各种CNN算法检测虫害的植物性比较

2021 IEEE Pune Section International Conference (PuneCon) Pub Date : 2021-12-16 DOI: 10.1109/punecon52575.2021.9686499

K. Mrudula, Harsh Jain, Jayanth Bhansali, S. N. Sejal

{"title":"Plant-Wise Comparison of Various CNN Algorithms for Detection of Pest Infestation","authors":"K. Mrudula, Harsh Jain, Jayanth Bhansali, S. N. Sejal","doi":"10.1109/punecon52575.2021.9686499","DOIUrl":"https://doi.org/10.1109/punecon52575.2021.9686499","url":null,"abstract":"Agriculture is the primary sector of income in countries like India. Pest attacks to crops are a major concern in these countries. The symptoms of pest infestation can appear on various parts of the crop such as leaves, stem, roots, etc. This paper focuses on comparing the different Convolutional Neural Network models to detect pest infestation. The images of crop leaves (both diseased and healthy) have been considered). Various crops such as potato, grapes, cherry, bell peppers, etc. with diseases such as Bell pepper - Bacterial spot, Cherry - Powdery Mildew, Potato - Early Blight, etc. have been considered to arrive at an unbiased conclusion. For each model different optimizers such as Stochastic Gradient Descent, ADAM, etc have been implemented. Batch normalization has been applied to each of the models. Among the CNN architectures, Alexnet, ResNet-50, Inception V3, and VGG-16, ResNet-50 gives a higher accuracy for most of the plants ranging between 95.99% for grapes, 99.34% for both potato and bell pepper. Inception V3 also yielded good results for a few plants, with accuracies ranging between 99% for strawberry and 99.75% for cherry. These models with the aforementioned parameters have been implemented for a low computationally efficient device.","PeriodicalId":154406,"journal":{"name":"2021 IEEE Pune Section International Conference (PuneCon)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121544723","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

“Robocare for Elderly”: A Personal Assistant Robot for Elderly People “Robocare for Elderly”:老年人个人助理机器人

2021 IEEE Pune Section International Conference (PuneCon) Pub Date : 2021-12-16 DOI: 10.1109/punecon52575.2021.9686500

Mithra Venkatesan, Zeeshan S. Shaikh, A. Shaikh

{"title":"“Robocare for Elderly”: A Personal Assistant Robot for Elderly People","authors":"Mithra Venkatesan, Zeeshan S. Shaikh, A. Shaikh","doi":"10.1109/punecon52575.2021.9686500","DOIUrl":"https://doi.org/10.1109/punecon52575.2021.9686500","url":null,"abstract":"This paper discusses a Robot for the elderly which consists of various electronic devices that can be altered in the future and can be used to make other robotic devices, which can be used in the household environment. “Robocare for Elderly” is a prototype of an actual Personal Assistant Robot which can be used in the future to take care of elderly people as a companion. This system involves Raspberry Pi Microcomputer, Ultrasonic sensor, PIR sensor, Temperature Sensor, LEDs, in-built Bluetooth module, Dc Motor, Servo Motor, Speakers, etc. The main objective in the developed work is to build a prototype of a personal assistant robot that is of low cost and can be used in every house, thus, making better use of technology. The future scope of this work is that it can be enhanced by upgrading the technology used, more user friendly, and it may be possible for the system to react according to the surrounding using dynamic systems. The elderly people will be the most beneficial with this implementation. Thus, “Robocare for Elderly” is more precisely a personal assistant robot which is a part of a smart house environment.","PeriodicalId":154406,"journal":{"name":"2021 IEEE Pune Section International Conference (PuneCon)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130180289","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