Knowledge of whole heart anatomy is a prerequisite for many clinical applications. Whole heart segmentation (WHS), which delineates substructures of the heart, can be very valuable for modeling and analysis of the ana...
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This paper explores multimedia principles for a visuohaptic simulation-based approach to improve students' understanding of electricity and magnetism concepts. The study implemented different multimedia principles...
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Cloud computing is also called as internet -based computing. Cloud computing is one of the distributed computing system. Its main principle is, to use the resources optimally for achieving higher efficiency. Cloud com...
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ISBN:
(纸本)9781538610954
Cloud computing is also called as internet -based computing. Cloud computing is one of the distributed computing system. Its main principle is, to use the resources optimally for achieving higher efficiency. Cloud computing is mainly used to solve vast scale issues. IT assets gave by cloud system, then again, are devoted to providing back-end preparing abilities and client based access to these capabilities. In cloud computing technology, clients lease the resources and only pay for what they use. Cloud computing users should be particular while choosing cloud service providers. Main advantage of cloud computing is “agility”. Scheduling of resources is one of the tough problem in cloud computing. The main task of Scheduling is, to assign the resources for the user request, so that the task can be finished in minimum time. In this paper Multiple Artificial Neural Network (MANN) is used for allocating the resources for the user requests. Thus with the help of Multiple Artificial Neural Network, scheduling of resources in cloud computing can be improved.
This work proposes a method to reconstruct surfaces with higher-order smoothness from noisy 3D measurements. The reconstructed surface is implicitly represented by the zero level-set of a continuous valued embedding f...
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Epilepsy is the most common neurological disorder and an accurate forecast of seizures would help to overcome the patient's uncertainty and helplessness. In this contribution, we present and discuss a novel method...
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The aim of our research is to build an empirical indicator of cinematic immersion based on ocular data. We study immersion as a gradual and adaptive process of corporal involvement in the cinematic experience. To stud...
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ISBN:
(纸本)9781538675915;9781538675908
The aim of our research is to build an empirical indicator of cinematic immersion based on ocular data. We study immersion as a gradual and adaptive process of corporal involvement in the cinematic experience. To study its temporal evolution, we analyze correlations between the film and the ocular response, in its attentional aspects (what do we see?) and pupillary aspects (how do we react?). To understand in what ways post-production can favor immersion, we are interested in studying the pupil reactivity to visual attributes of the film: the visual abstraction of a non-photorealistic rendering (NPR) post-production and the optical hyperrealism of stereoscopy. We expect that our results could be useful for conceiving new NPR tools for 3D films and innovative post-production strategies for virtual reality.
作者:
ChennabassammaR SumathiCNE
Department of Computer Science and Engineering Siddaganga Institute of Technology Tumakur India Professor
Department of Computer Science and Engineering Siddaganga Institute of Technology Tumakur India
There is a considerable gap between a Communication Service Provider's (CSP) expectation of delivered customer services (experience) and the genuine encounter of the end clients. To guarantee that client desires a...
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ISBN:
(纸本)9781509037056
There is a considerable gap between a Communication Service Provider's (CSP) expectation of delivered customer services (experience) and the genuine encounter of the end clients. To guarantee that client desires are met, it is essential to carry out network parameters improvement. The network parameters improvement is achieved using Key Performance Indicator (KPIs) and Key Quality Indicators (KQIs). Quality of Service (QoS) gives the complete network functioning record based on both KQIs and KPIs. A wide range of evaluation are conducted using the KPI and KQI to progress mobile network services. The work consists of KPI/KQI analysis and verification of distinct test case scenarios. Real time data of mobile network is collected and given to the Hadoop database which will form the test data. The java codes are written to obtain the KPI/KQI values. The KPI/KQI values calculated are validated against the values reported on Customer Experience Management on Demand (CEMoD) product to verify the integrity of the product. Evaluation of these KPI/KQIs for their applicability in the telecom industry and effect on CSPs has been studied. The study is carried out at Nokia Solutions and Networks. The paper is based on the mobile network data and the method of KPI/KQI evaluation adopted by the Nokia Solutions and Networks.
The objective of this paper is to describe the engineering program designed by COPEC – science and Education Research Council’s education research team, in which the so called ‘Working with Communities’ course is ...
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roaming splices several photographs taken by the camera into a panoramic image, and then uses computergraphics and image technology to construct panoramic space for the panoramic image. Image stitching will directly ...
roaming splices several photographs taken by the camera into a panoramic image, and then uses computergraphics and image technology to construct panoramic space for the panoramic image. Image stitching will directly affect the user's roaming experience, but some panoramic images will have obvious color seams after stitching. TRIZ is a knowledge-based, human-oriented inventive problem solving systematic method. Based on TRIZ innovation method, this paper describes, analyses, resolves and evaluates the final problem plan. By using TRIZ innovation method, we can break through the thinking barrier, break the thinking stereotype, and analyze the problem with new vision, and carry out logical and non-logical systematic thinking. The problem of stitching cracks in the process of 3D panorama stitching is solved thoroughly and effectively. Finally, according to the law of technological evolution, the future development trend is predicted, and competitive and innovative products are developed.
reCaptcha is a service designed to protect websites from spam and abuse by telling humans and robots apart. In this research, we focused on maximizing accuracy on classifying road signs vs background, in order to brea...
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reCaptcha is a service designed to protect websites from spam and abuse by telling humans and robots apart. In this research, we focused on maximizing accuracy on classifying road signs vs background, in order to break the road sign puzzles of Google's reCaptcha version 2. We trained two different convolutional neural networks, did extensive dataset collection, and developed a tool to visualize the results. Our transfer learning neural network based on GoogLeNet with 144 layers has a success rate of 94.25% for classifying road signs, while our self-built neural network with 24 layers has a success rate of 77.2%. Based on our results, we believe that we have successfully broken the road sign category in Google reCaptcha version 2.
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