Title: Human Action Recognition for Surveillance Using Deep Learning Techniques Basic Idea: Human Action Recognition (HAR)‚ an emerging domain of computer vision used to recognize the behavioural action of human. It has many applications like human machine interaction‚ video retrieval and surveillance. It is a very hot topic in machine learning‚ deep learning and computer vision. So In this domain I have decided to work on Surveillance‚ the basic idea of this topic is to recognize abnormal of human
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Node Selection in the Social Internet of Things:Challenges and Possible Strategies G.Ananthi‚ M.Radhai‚ S.V.Veera Kanmani Thiagarajar College of Engineering Madurai 625 015‚ INDIA gananthi@tce.edu‚ veeraeyesmani@gmail.com‚ radhaimanikandan@gmail.com Abstract: The Internet of Things (IoT) is expected to be over- populated by a very large number of objects‚ with intensive interactions‚ heterogeneous communications‚ and millions of services. Consequently‚ scalability issues will arise from the search
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Domain authority is a measure of the power of a domain name and is one of many search engine ranking factors. Domain authority is based on three factors: Age‚ Popularity‚ and Size.Domain authority is a measure of the power of a domain name and is one of many search engine ranking factors. Domain authority is based on three factors: Age‚ Popularity‚ and Size.Domain authority is a measure of the power of a domain name and is one of many search engine ranking factors. Domain authority is based on three
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1.1.1 Reverse Logistics The majority of the challenges for remanufacturing are related with the reverse logistic process. Moreover‚ these interrogations have a big incidence on how hard or easy is to solve the other remanufacturing challenges. For this reason‚ this section starts with a detailed explanation of reverse logistics using various models that during the research stand out for being clear and detailed at the same time. For understanding reverse logistics‚ first‚ it is important to understand
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Falsifiability increases empirical knowledge – an example in search assessment Swets’ ROC analysis was developed and validated for signal detection given a known location. Clinically relevant tasks are often more complicated‚ e.g.‚ search‚ multi-class classification‚ estimation‚ etc. Many extended ROC methods are proposed for each task‚ and there is a sincere lack of consensus concerning which extended ROC method is more appropriate. Before discussing how the lack of falsifiability contributes to
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However‚ digital world and information technology‚ in the opinion of Turkle‚ not only provide us a lot of opportunities‚ but also pose some danger. By virtue of the latest technology the individual is constantly involved in communication‚ real communication‚ virtual and even imaginary‚ that endlessly expands and fills his Self (constant perception of different values‚ belief systems‚ ideas‚ etc.). Therefore‚ Identity becomes much more complex‚ and eventually "saturated" ‚ “colonized” by others. Consequently
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In this section‚ we propose a heuristic‚ called Lazy Super Parent Tree Augmented Naive Bayes (LSPTAN) that seeks to solve the problems discussed above‚ enabling the application of a semi-Naive Bayes techniques in large ADC tasks. Thus‚ we can evaluate whether the premise of independence among attributes‚ assumed by Naive Bayes‚ impacts effectiveness in large ADC tasks‚ an open research problem.\looseness=-1 The Lazy Super Parent TAN (LSPTAN) heuristic is a postergated version of the SP-TAN that
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2.1.1.1. ANTESCOFO ANTESCOFO is a score-following system that enables to code interactions between the instrumental parts and the computer-generated parts by providing a proprietary programming language [Giavitto‚ Cont and Echeveste‚ 2015]. ANTESCOFO is an event based customizable score-following. Accordingly‚ its most important programming entities are events and actions [Giavitto‚ Cont‚ and Echeveste‚ 2015]. Figure 2.10 shows a sample code in ANTESCOFO language with events and actions; Events
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About half a century ago‚ Gordon Moore stated the number of transistors in computer chips increase per unit cost every two year. Extrapolating this accelerating pace‚ logic dictates that computers will be powerful enough to give rise to Virtual Reality applications by 2020. Seeing the world today‚ computers are used for various Virtual reality applications such as simulations. Simulation is the imitation of the operation of a real-world process or system. Simulations are used for various actives
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Data Mining Project on IMDB website ABSTRACT The Internet Movie Database (IMDb) is an online database of information related to movies‚ television shows‚ stars‚ etc. We chose to do our project from 2008 to 2011 year’s movie database. We extracted data like Movie‚ Director‚ Star‚ Image Url‚ Studio from the IMDb website. For this extraction of data we used a tool named Mozenda. After the data extraction‚ the data was analyzed. For a particular star‚ his/her movie‚ director‚ studio with whom the
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