2018 IEEE Punecon最新文献_第4页

Ganga Water Quality Monitoring System IoT Based 恒河水质监测系统基于物联网

2018 IEEE Punecon Pub Date : 2018-11-01 DOI: 10.1109/PUNECON.2018.8745406

Manish Kumar, A. Sapkal, Vighnesh Tiwari

{"title":"Ganga Water Quality Monitoring System IoT Based","authors":"Manish Kumar, A. Sapkal, Vighnesh Tiwari","doi":"10.1109/PUNECON.2018.8745406","DOIUrl":"https://doi.org/10.1109/PUNECON.2018.8745406","url":null,"abstract":"Water an important resource gifted to us in many forms. One such is holy river Ganges. Ganges water plays a major role in Indian mythology. But due to setting up of different industries in and around Ganges basin, its water quality is deteriorating day by day. And civic authorities are not able to have the real time pollutant status of water and cannot carry out a necessary raid on industries and treatment before it affects aquatic as well as human life. This paper consists of a wireless river water quality monitoring method which can be useful for monitoring Ganges water. Our proposed method is a system of interconnected cloud storage, raspberry pi, temperature sensor and a website to show real time status. Sudden increase and decrease in temperature plays a major role in affecting water resource which happens when waste is executed from an industry which consist a lot of harmful chemicals, when the water molecules come in contact of these chemicals they show a sudden rise in temperature and drastic change in pH level we can sense these changes through the sensors connected through Raspberry Pi and push them on the cloud. This paper also consists of an approach to alarm civic authorities if the concentration of pollutants increases. By this approach not only civic authority, but common man will have a pollutant status around them.","PeriodicalId":166677,"journal":{"name":"2018 IEEE Punecon","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125228303","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: 4

Military Surveillance Robot Implementation Using Robot Operating System 基于机器人操作系统的军事监视机器人实现

2018 IEEE Punecon Pub Date : 2018-11-01 DOI: 10.1109/PUNECON.2018.8745403

Aditya Prakash, Rahee Walambe

引用次数: 3

Mapping of Six Sigma to Threshold Based Incremental Clustering Algorithm 六西格玛映射到基于阈值的增量聚类算法

2018 IEEE Punecon Pub Date : 2018-11-01 DOI: 10.1109/PUNECON.2018.8745432

Preeti Mulay, R. Joshi, A. Chaudhari

{"title":"Mapping of Six Sigma to Threshold Based Incremental Clustering Algorithm","authors":"Preeti Mulay, R. Joshi, A. Chaudhari","doi":"10.1109/PUNECON.2018.8745432","DOIUrl":"https://doi.org/10.1109/PUNECON.2018.8745432","url":null,"abstract":"The increasing concerns for health, what individual consumes has certainly become one of the most crucial factors to be measured. The statistics shows that diabetes is amongst the highest health concerns that are found in all age groups, posing a huge risk to form cardiovascular diseases in the long run. Hence, to overcome or probably to commercialize such complications, food industries are targeting the health cautious group of people to make profits. But the question remains, whether these products are really genuine. As we see, market aisles these days are crammed with variety of Anti-Diabetic food-products including wheat-flour, cooking-oil, milk tetra packs, etc. of varied brands claiming that they can manage normal blood glucose levels of a diabetic patient and/ or everyone. This raises a debate as to whether these Anti-Diabetic products are effectual preventive measures or useful for diabetes cure. Thus, in this paper we propose the DMAIC problem solving approach of Six Sigma powered by Threshold Based Incremental-Clustering Algorithm (TBCA) implemented here that takes into account nutritional composition of these Anti-Diabetic food-products to analyze their Sugar-release-controlling capability. To validate considered phenomenon, the association between Diabetes Mellitus (DM) and Anti-Diabetic products data sets, are examined through Principal Component Analysis (PCA) and TBCA-integrated-DMAIC steps of Six Sigma. The outcome of this study concludes that these products are constructive in regulating the blood glucose spikes of a diabetic patient. Extended learning outcome of this study will be, to add TBCA process as a new layer in DMAIC, so as to achieve distributed machine learning system, with sustainability care.","PeriodicalId":166677,"journal":{"name":"2018 IEEE Punecon","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129907673","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: 4

Significance of Granular Real Time Data for studying ground realities, addressing gaps in governance, and for measuring impact 粒度实时数据对于研究实际情况、解决治理中的差距和衡量影响的重要性

2018 IEEE Punecon Pub Date : 2018-11-01 DOI: 10.1109/PUNECON.2018.8745386

Resham Badri, Pratima Joshi

{"title":"Significance of Granular Real Time Data for studying ground realities, addressing gaps in governance, and for measuring impact","authors":"Resham Badri, Pratima Joshi","doi":"10.1109/PUNECON.2018.8745386","DOIUrl":"https://doi.org/10.1109/PUNECON.2018.8745386","url":null,"abstract":"Sanitation interventions within slums have typically focussed on the health risks of insufficient access to sanitation, the significance of understanding the context has always been neglected. This study examines the range of usage of data collected, analysed and put to use to pave way for systematic, informed and targeted service deliveries such as household sanitation. It also sheds light on spatial real-time granular data being the foundation for not just measuring high scale impacts of interventions but also for evidence based challenges to stereotypes that are entrenched in society’s psyche. A household level survey covering 463 households across four urban areas of Maharashtra namely: Kolhapur, Navi-Mumbai, Pimpri-Chinchwad, and Pune, involved 2,414 respondents in the pre-intervention survey while 2,306 respondents in the post-intervention survey. We found that household sanitation has had an overwhelming impact on not just the tier one cities where we surveyed but also the awareness levels of tier two cities have been very high and interesting to observe. A better understanding of the wide spectrum that each data set offers in studying slum level and household level demographics, character, behaviour, context, aspirations, and background is needed to enable context-specific, gender-sensitive and sustainable sanitation interventions.","PeriodicalId":166677,"journal":{"name":"2018 IEEE Punecon","volume":"72 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120865484","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

Image Fusion of RISAT-1 SAR Backscattered Image with AWiFS Optical Data RISAT-1 SAR后向散射图像与AWiFS光学数据的融合

2018 IEEE Punecon Pub Date : 2018-11-01 DOI: 10.1109/PUNECON.2018.8745384

Shaheera Saba Mohd Naseem Akhter, P. Rege

引用次数: 0

A Working Paper On Use of Social Media By Selected Indian Public Sector Banks 关于选定的印度公共部门银行使用社会媒体的工作文件

2018 IEEE Punecon Pub Date : 2018-11-01 DOI: 10.1109/PUNECON.2018.8745314

Arti Chandani, Akhilesh Singh Rathore, Rajiv Divekar, Mita Mehta

{"title":"A Working Paper On Use of Social Media By Selected Indian Public Sector Banks","authors":"Arti Chandani, Akhilesh Singh Rathore, Rajiv Divekar, Mita Mehta","doi":"10.1109/PUNECON.2018.8745314","DOIUrl":"https://doi.org/10.1109/PUNECON.2018.8745314","url":null,"abstract":"The emergence of social media is of recent times where computer based technologies help in creation and sharing of information across users. The fuel of the social media is information generated by users and sharing of the same among others. The growth in the usage of the social media is phenomenal and pervasive. The users and customers are using social media extensively in their daily life. This has made all the businesses to rethink their strategies and adopt the changes taking place in the macro environment. The banks are integral part of any economy and the banking system is the back bone of Indian economy. The banking sector has seen a major change since 1991 where the private sector banks entered into the system, which changed the way in which banking was being done and this has increased the competition in the banking sector domain. The number of users of these social media platforms are in millions, hard to ignore for any bank. The public banks in India are using social media in different forms to stay connected with millions of users. These banks are using social media for consumer communication, engaging with general public and so on and so forth. The objective of the paper is to analyse as to how Indian public sector banks are using social media as a part of their strategy. The study focuses on top 4 social media platform Facebook, Twitter, LinkedIn, and YouTube which are majorly used by the banks. The study also focuses on the top 10 public sector banks as the sample of the study.","PeriodicalId":166677,"journal":{"name":"2018 IEEE Punecon","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114173054","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

Political Sentiment Assessment through Social Media 通过社交媒体评估政治情绪

2018 IEEE Punecon Pub Date : 2018-11-01 DOI: 10.1109/PUNECON.2018.8745416

Saurabh D Dorle, N. Pise

{"title":"Political Sentiment Assessment through Social Media","authors":"Saurabh D Dorle, N. Pise","doi":"10.1109/PUNECON.2018.8745416","DOIUrl":"https://doi.org/10.1109/PUNECON.2018.8745416","url":null,"abstract":"The world wide web including social sites, blogs, forums etc. generate a huge amount of data in the form of views, emotions, opinions and arguments regarding different products, social activities, brands and politics. This has prompted increasing interests in analytical domain. Thus, all these comments have a great influence on readers, vendors & politicians. In political domain, political parties and other experts make use of facebook, twitter and blogs to communicate with the people and to check voice of public. Hence, an appropriate model which gives correct analysis and results about peoples’ sentiments related to political parties and political diplomats is built. Data is captured from social media sites and pre-processing is carried out. Word2vec model is used for word embedding process. For final evaluation neural network is used. After detailed study and comparison efficient neural network model is chosen and positive/negative sentiments are identified. Experimental evaluation signifies the effectiveness of the proposed model. This system is also helpful for understanding people’s response to particular political decision which will help in better decision making during elections and political campaigns.","PeriodicalId":166677,"journal":{"name":"2018 IEEE Punecon","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129596366","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

Forecasting the behaviour of Trending Terms in Microblogs 预测微博热词的行为

2018 IEEE Punecon Pub Date : 2018-11-01 DOI: 10.1109/PUNECON.2018.8745388

Pradyumansinh Jadeja, K. Kotecha

{"title":"Forecasting the behaviour of Trending Terms in Microblogs","authors":"Pradyumansinh Jadeja, K. Kotecha","doi":"10.1109/PUNECON.2018.8745388","DOIUrl":"https://doi.org/10.1109/PUNECON.2018.8745388","url":null,"abstract":"Due to the tremendous usage of social media platform, its need of an hour to understand the societal opinion trends about certain topics posted on social media. Monitoring and understanding the pulse of social media allows to gain feedback and to understand the people or market in a better way. There is also an outpour of information, related to the thoughts, feelings, expressions, experience, likes and dislikes that everyone tends to give out in social media. The catch is to utilize this for a novel purpose that can aid the thinkers, technocrats, leaders, communications, innovators to build a proactive say today, on the challenges of tomorrow. It will be like learning the ‘mind of the society’ and to aid the citizens with the necessary conditions to make their lives better. This is exactly what we have attempted to do here.By digging deep into the data generated by social media, we can get the answer of following questions; What happened in the past? 2) What is happening now? & based on these answers we can obtain the answer to the question What can happen in the future?. We have put forth a more accurate and refined prediction algorithm which deals with the weight of the term and instrument Poisson distribution function to forecast behaviour of the term for next cycles.","PeriodicalId":166677,"journal":{"name":"2018 IEEE Punecon","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126027603","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

Ambiguity Resolution in English Language for Sentiment Analysis 面向情感分析的英语歧义消解

2018 IEEE Punecon Pub Date : 2018-11-01 DOI: 10.1109/PUNECON.2018.8745415

Kamalakshi V. Deshmukh, S. Shiravale

{"title":"Ambiguity Resolution in English Language for Sentiment Analysis","authors":"Kamalakshi V. Deshmukh, S. Shiravale","doi":"10.1109/PUNECON.2018.8745415","DOIUrl":"https://doi.org/10.1109/PUNECON.2018.8745415","url":null,"abstract":"Today’s citizens need a platform where they can register their complaints about municipal corporation. Citizens need to submit their daily complaints for municipal corporation. In a traditional system like Telephonic system for registration of complaints is a very time-consuming method. The customer has to wait until call is received by service executive. The proposed system is for the Pune Municipal Corporation (PMC) where citizens can insert query and intelligent reply is given to the citizen by short text understanding and machine learning algorithms. In the post query system analyses the sentiment of citizen by sentiment analysis. Accordingly, priorities to the given citizens on the basis of the intensity of the citizen complaint. Understanding the short text is the major challenge in the system like short texts do not follow the syntax of written language, short text does not have sufficient statistics to support for approaches like text mining, short text is ambiguous and noisy. In this system to understand natural language semantic knowledge is provided by the knowledgebase. This system will help many organizations to ensure quality service provision and customer satisfaction with less human efforts.","PeriodicalId":166677,"journal":{"name":"2018 IEEE Punecon","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128427667","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

Noise Pollution Analysis for year 2016-17 in Pune City 浦那市2016-17年噪音污染分析

2018 IEEE Punecon Pub Date : 2018-11-01 DOI: 10.1109/PUNECON.2018.8745430

Kakade Shraddha, More Shraddha

{"title":"Noise Pollution Analysis for year 2016-17 in Pune City","authors":"Kakade Shraddha, More Shraddha","doi":"10.1109/PUNECON.2018.8745430","DOIUrl":"https://doi.org/10.1109/PUNECON.2018.8745430","url":null,"abstract":"The rapid urbanization and growth of urban population has led to many health challenges including the environmental air and noise pollution. Here we analyze the data on noise levels in dB(A) Leq during day time (6 am to 10 pm) collected at 36 different locations in Pune city. The dataset is available on the Pune municipal Corporation Open data Portal[4]. The 36 locations are classified in four different zones named as commercial zone, residential zone, silence zone, and industrial zone. Data is collected on specific days of each month from April 2016 to March 2017. The main objective of this analysis is to locate the areas having noise levels higher than specified safe dB and to predict the average noise level in upcoming months.By using statistical tools we establish that in almost all the areas, the noise levels are beyond the safe noise level specified by the pollution control board. Specifically, areas like RTO, KK market, Rajaram Bridge, Ramwadi Octroi Naka, Sant Dnyaneshwar Ghat, Pune University (Campus) have very high noise levels. Areas having same noise levels are clustered into same group. Cluster analysis is used to locate the areas having higher noise pollution than their zonal counterparts. For predicting the noise levels in upcoming months, we use time series analysis and try to identify the areas which may need serious monitoring of noise levels.","PeriodicalId":166677,"journal":{"name":"2018 IEEE Punecon","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127215685","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