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2020 IEEE Pune Section International Conference (PuneCon)最新文献

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Analysis of Star Shape Microstrip Antenna with Multiple Shorting Posts for Wideband Response 多短柱星形微带天线宽带响应分析
2020 IEEE Pune Section International Conference (PuneCon) Pub Date : 2020-12-16 DOI: 10.1109/PuneCon50868.2020.9362391
Venkata A. P. Chavali, A. Deshmukh, A. Ambekar
{"title":"Analysis of Star Shape Microstrip Antenna with Multiple Shorting Posts for Wideband Response","authors":"Venkata A. P. Chavali, A. Deshmukh, A. Ambekar","doi":"10.1109/PuneCon50868.2020.9362391","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362391","url":null,"abstract":"Detail study of a Star Shape Microstrip Antenna with multiple shorting posts for wideband response with the explanation of resonant modes is presented in this paper. Modal study is performed by observing surface current distributions. Without shorting posts resonant modes excited on star shape microstrip antenna are TM01, TM20 and TM21. With the gradual addition of shorting posts, the impedance of resonance modes decreases enhancing the bandwidth up to 68% with a gain above 5 dBi. Redesign procedure of the similar structure for fundamental mode at 2 GHz on a triple layer substrate is provided. Redesigned antenna realized a bandwidth of 67% with more than 6 dBi gain which is comparable with reported configuration. Antenna exhibited a broadside radiation pattern over entire bandwidth with increased cross polarization in H-plane at higher frequencies.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121744633","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
An Experimental Design and Data Collection of EEG during Kriya Yoga-An Ancient Indic Meditation Technique 克里亚瑜伽——一种古老的印度冥想技术——期间脑电图的实验设计和数据收集
2020 IEEE Pune Section International Conference (PuneCon) Pub Date : 2020-12-16 DOI: 10.1109/PuneCon50868.2020.9362363
Laxmi Shaw, A. Routray
{"title":"An Experimental Design and Data Collection of EEG during Kriya Yoga-An Ancient Indic Meditation Technique","authors":"Laxmi Shaw, A. Routray","doi":"10.1109/PuneCon50868.2020.9362363","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362363","url":null,"abstract":"The prime objective of the study is to investigate the effect (effects in the sense of an increase in psychological well-being and decrease in stress & mood disturbances) of specific relaxation technique popularly named as Kriya Yoga (KY) meditation on long-term and short-term practitioners. For comparison, the EEG data for non-meditators or control group has also been recorded. To the best of our knowledge, no such standard EEG datasets are available elsewhere on Kriya practitioners. In this study, two experimental datasets created by us, have been described. The experiments have been carried out at two places, i.e., Hariharananda Gurukulam, Balighai, Puri, Odisha and Hariharananda Balashram, Arua, Kendrapara, India. The detailed protocol and experimental methodology are described. This paper briefly introduces two EEG databases acquired during short Kriya Yoga meditation.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121323208","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
Bike Engine Health Monitoring using Vibration 基于振动的自行车发动机健康监测
2020 IEEE Pune Section International Conference (PuneCon) Pub Date : 2020-12-16 DOI: 10.1109/PuneCon50868.2020.9362345
Aniket Shinde, Kapil Mundada
{"title":"Bike Engine Health Monitoring using Vibration","authors":"Aniket Shinde, Kapil Mundada","doi":"10.1109/PuneCon50868.2020.9362345","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362345","url":null,"abstract":"Artificial intelligence is being currently used in many vehicles to self-drive. A variety of sensors are required to give information about components. Health monitoring of vehicles is an area that is dragging the attention of researchers across the world. In this paper, we have dealt with one of the important parameters of vehicle, which is an engine. The engine transmits power using a gear system which generates noise and vibration due to variation in the meshing force. We have used a piezoelectric sensor to collect vibration signals of an engine and convert the time domain signal to frequency domain, based on different frequencies health is predicted using ML Support Vector Classifier. In the proposed mechanism an android application is used to visualize the real-time data.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130632056","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
Comparison of Sentiment Analysis on Auto-Summarized Text & Original Text using various Summarization Techniques 使用各种摘要技术的自动摘要文本与原始文本情感分析的比较
2020 IEEE Pune Section International Conference (PuneCon) Pub Date : 2020-12-16 DOI: 10.1109/PuneCon50868.2020.9362395
P. Kandpal, Yash Wadkar, Harsh Attri, Siddharth Bhorge
{"title":"Comparison of Sentiment Analysis on Auto-Summarized Text & Original Text using various Summarization Techniques","authors":"P. Kandpal, Yash Wadkar, Harsh Attri, Siddharth Bhorge","doi":"10.1109/PuneCon50868.2020.9362395","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362395","url":null,"abstract":"In today’s day & age Text Summarization and Sentiment Analysis add lot of value to businesses and other organizations. Sentiment Analysis can help a business get an idea about their product and gather meaningful feedback from customers. And auto-text summarization helps in articulating the important points from a large data-set, doing so can make the viewers/readers get a quicker idea about that data-set, this data-set can be a large document, a blog or an article. This paper presents a new method of combining the concepts of Sentiment Analysis and Auto-Text Summarization so that content-writers can enhance the quality of their manuscript. In this research work, certain observations have been made which can help in analyzing the polarity and subjectivity of the summarized text using various summarizers. Businesses and other organizations can use this technique to enhance their online content and intrigue viewers or readers by creating a better digital content ecosystem.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126943884","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
Face and Palmprint Biometric Recognition by using Weighted Score Fusion Technique 基于加权分数融合技术的人脸与掌纹生物特征识别
2020 IEEE Pune Section International Conference (PuneCon) Pub Date : 2020-12-16 DOI: 10.1109/PuneCon50868.2020.9362433
M. Rane, U. Bhadade
{"title":"Face and Palmprint Biometric Recognition by using Weighted Score Fusion Technique","authors":"M. Rane, U. Bhadade","doi":"10.1109/PuneCon50868.2020.9362433","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362433","url":null,"abstract":"A multimodal fusion biometric verification system for face and palmprint modalities is proposed. The goal is to achieve a higher Accuracy for standard Databases. Fusion is done at score level using feature extraction algorithms such as, Radon transform, Ridgelet transform, TPLBP, FPLBP HOG, Gabor filter and DCT. Experiments are conducted on face94, face95, face96, FRGC IITD and PolyU databases. Only 1 image is given as a training set for each subject in respective databases. Matching Algorithm is used so as to achieve maximum GAR (Genuine acceptance rate). The results are discussed further in the paper. The accuracy achieved is 99.6% for FAR (False Acceptance rate) of 0.1%. Experimental results indicate that this approach although simple yet can achieve a greater accuracy.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114995219","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: 21
A Survey on Near Duplicate Video Retrieval Using Deep Learning Techniques and Framework 基于深度学习技术和框架的近重复视频检索研究
2020 IEEE Pune Section International Conference (PuneCon) Pub Date : 2020-12-16 DOI: 10.1109/PuneCon50868.2020.9362347
D. Phalke, Sunita Jahirabadkar
{"title":"A Survey on Near Duplicate Video Retrieval Using Deep Learning Techniques and Framework","authors":"D. Phalke, Sunita Jahirabadkar","doi":"10.1109/PuneCon50868.2020.9362347","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362347","url":null,"abstract":"The field of machine learning is going through its golden era. Deep Learning, the subfield of Machine Learning has seen amazing applications in various areas. The perception of information is extracted by using different layers of Deep Learning. Numerous deep learning algorithms like Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN) have completely changed the viewpoint of researchers of data science and big data. However, still there is huge scope of learning in this extremely quick-paced domain. The use of deep learning for Near Duplicate Video Retrieval (NDVR) shows the popularity of various algorithms of deep learning amongst researchers. This survey provides an overview of Near Duplicate Video Retrieval (NDVR) using deep learning and trends in development and usage of revolutionary Deep Learning frameworks, tools and their applications in recent years.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122363070","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
PuneCon 2020 Address by Guests 2020 PuneCon嘉宾致辞
2020 IEEE Pune Section International Conference (PuneCon) Pub Date : 2020-12-16 DOI: 10.1109/punecon50868.2020.9362385
{"title":"PuneCon 2020 Address by Guests","authors":"","doi":"10.1109/punecon50868.2020.9362385","DOIUrl":"https://doi.org/10.1109/punecon50868.2020.9362385","url":null,"abstract":"","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128198158","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
A Fast, Automatic Risk Detector for COVID-19 COVID-19快速自动风险检测器
2020 IEEE Pune Section International Conference (PuneCon) Pub Date : 2020-12-16 DOI: 10.1109/PuneCon50868.2020.9362389
Bhushan Bhagwan Gawde
{"title":"A Fast, Automatic Risk Detector for COVID-19","authors":"Bhushan Bhagwan Gawde","doi":"10.1109/PuneCon50868.2020.9362389","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362389","url":null,"abstract":"With its lethal spread to more than 200 countries, COVID-19 has brought a global crisis, affecting more than 3 crore people across the world. Viruses don’t have a cure, and this makes the population vulnerable and heavily rely on preventing the infection. Hence, following the rules of social distancing and wearing a face mask are two very essential approaches to fight against this pandemic. Motivated by this notion, this work proposes a deep learning-based framework for automating the detection of risk due to COVID19. The proposed framework utilizes YOLOv3 object detector to detect whether a person has worn a mask. In case of absence of mask, to categorize the level of risk, the person’s age category is estimated, and the result of the risk detector is displayed on the image with a bounding box. In case of multiple boxes, the framework also calculates the distance between them to check whether the rules of social distancing are being followed. The result of the YOLOv3 model is compared with popular state-of-the-art model, Faster Regionbased Convolutional Neural Network. From the experimental analysis, it is concluded that YOLOv3 object detector displays best results with respect to the trade-off between speed and accuracy.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124586972","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
Machine Learning Model Cards Transparency Review : Using model card toolkit 机器学习模型卡透明度审查:使用模型卡工具包
2020 IEEE Pune Section International Conference (PuneCon) Pub Date : 2020-12-16 DOI: 10.1109/PuneCon50868.2020.9362382
A. Wadhwani, Priyank Jain
{"title":"Machine Learning Model Cards Transparency Review : Using model card toolkit","authors":"A. Wadhwani, Priyank Jain","doi":"10.1109/PuneCon50868.2020.9362382","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362382","url":null,"abstract":"In our day to day life, we rely on information that is provided by product makers to make rightful choices such as the nutritional content of food, warnings in medications, strength parameters of a constructed road, etc but when it comes to AI there’s has not been any such provided information. The machine learning models are very often distributed without a proper clear understanding of how it functions, i.e. under what conditions would it perform the best and most consistently, whether or not it has blind spots, and, if so, then where are they.Model cards are a very recent and hot topic of research. In Machine Learning (ML), transparency with model cards is relevant as it affects a wide range of domains, from health care to finance and jobs, etc. This research paper presents the importance of model cards and transparency issues.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"195 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132798378","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: 11
Evaluation of the Contribution of Fiber Dispersion in SNR and BER Performance for an Optical TDM Link 光纤色散对时分光链路信噪比和误码率性能贡献的评价
2020 IEEE Pune Section International Conference (PuneCon) Pub Date : 2020-12-16 DOI: 10.1109/PuneCon50868.2020.9362474
Md Nasful Huda Prince, M. Faisal
{"title":"Evaluation of the Contribution of Fiber Dispersion in SNR and BER Performance for an Optical TDM Link","authors":"Md Nasful Huda Prince, M. Faisal","doi":"10.1109/PuneCon50868.2020.9362474","DOIUrl":"https://doi.org/10.1109/PuneCon50868.2020.9362474","url":null,"abstract":"The contribution of fiber dispersion in the deterioration of bit error rate (BER) performance for an optical time division multiplexed (TDM) link is illustrated in this paper. Signal to noise ratio (SNR) and BER is calculated according to the conventional way i.e. by only considering receiver noise. An analytical model is developed to compute the signal to noise and crosstalk ratio (SCNR) where the additional crosstalk is the contribution of dispersion. Such crosstalk occurs due to the overlapping of pulses with the neighboring pulses which is called inter-symbol-interference (ISI). Dispersion causes pulses to get broadened for which ISI occurs. By comparing the results obtained from this analytical model with the conventional process the crosstalk due to dispersion is determined. The model which is validated by MATLAB shows that the more the dispersion increases the more the crosstalk occurs and as a consequence, the more the signal suffers. The power penalty due to dispersion is also computed comparing the conventional computational method where the result indicates a non-linear incremental pattern of such penalty for increasing the degree of dispersion. The penalty becomes higher than 1 dB for the value of dispersion index from 0.08 to above.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130136151","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
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