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检索条件"任意字段=3rd IEEE Intelligent Data Acquisition and Advanced Computing Systems"

共 1246 条记录，以下是771-780 订阅

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The Dynamics of 3-dimentional Micro-mechanic Sensor of Angle Motions of a Robot-hexapod 8

The Dynamics of 3-dimentional Micro-mechanic Sensor of Angle...

引用

ieee 8th International Conference on intelligent data acquisition and advanced computing System-Technology and Applications (IDAACS)

作者： Osadchy, Sergei I. Zozulya, Valeriy A. Rudiuk, Grygoriy I. Kirovograd Natl Tech Univ Univ Ave 8 UA-25006 Kirovograd Ukraine Co Antonov UA-03062 Kiev Ukraine

transfer function matrices of 3d MEMS sensor of angular motions and spectral density of noises measurements were estimated with the help of the method of structural identification for first time. This provides the pos... 详细信息

ISBN: (纸本)9781467383615

关键词： micro-mechanic gyroscope angular motion hexapod identification factorization separation noise

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Interactive Dynamical Visualization of Big data Arrays in Grid 8

Interactive Dynamical Visualization of Big Data Arrays in Gr...

引用

ieee 8th International Conference on intelligent data acquisition and advanced computing System-Technology and Applications (IDAACS)

作者： Koval, Yuriy O. Mendrul, Hlib O. Salnikov, Andrii O. Sliusar, Ievgen A. Sudakov, Olexandr O. Kyiv Natl Taras Shevchenko Univ Fac Radiophys Elect & Comp Syst 4D Glushkova Kiev Ukraine

ISBN: (纸本)9781467383615

Grid service and web interface for dynamical interactive 3D visualization of big data arrays is proposed, implemented and tested. The main requirement of system design is low latency and traffic reduction during data transfer. Distributed grid service is based on Hadoop Map-Reduce implementation. Web interface is implemented using *** WebGL library. Visualizing of non-linear dynamics simulation results for 3D Kuramoto-Sakaguchi model proved efficiency of proposed approach. Prototype of described system is implemented in Ukrainian National Grid infrastructure.

关键词： Grid portal WebGL Map-Reduce non-linear dynamics

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3D Face data acquisition and Modelling Based on an RGBD Camera Matrix 8

3D Face Data Acquisition and Modelling Based on an RGBD Came...

引用

ieee 8th International Conference on intelligent data acquisition and advanced computing System-Technology and Applications (IDAACS)

作者： Naruniec, Jacek Kowalski, Marek Daniluk, Michal Warsaw Univ Technol Nowowiejska 15-19 PL-00665 Warsaw Poland

ISBN: (纸本)9781467383615

This paper describes a novel system for building morphable 3D head models. In contrast to most of the previous approaches that need several seconds to capture each scan, we acquire the data using a matrix of calibrated RGBD cameras, enabling real time face scanning. We localize the face and it's 68 characteristic points on an orthogonal projection image, and use the detected points to align multiple scans. We use a Delaunay triangulation of the 68 characteristic points to obtain dense head shapes with point to point correspondence across all 3D head shapes. In the last step we create a morphable model in a way that is similar to the original procedure by Blanz and Vetter. We demonstrate the functionality of our model, created on just five people, in a real-time application. The novelty of this article lies mostly in the method of defining correspondences of the characteristic points in 3D, that leads to a realistic three-dimensional model and blendshapes.

关键词： depth camera face modelling morphable models

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Personalized ambience: An integration of learning model and intelligent lighting control

Personalized ambience: An integration of learning model and ...

引用

ieee World Forum on Internet of Things (WF-IoT)

作者： Xiangwei Yin Sye Loong Keoh School of Computing Science University of Glasgow Glasgow United Kingdom

ISBN: (纸本)9781509041312

The number of households and offices adopting automation system is on the rise. Although devices and actuators can be controlled through wireless transmission, they are mostly static with preset schedules, or at different times it requires human intervention. This paper presents a smart ambience system that analyzes the user's lighting habits, taking into account different environmental context variables and user needs in order to automatically learn about the user's preferences and automate the room ambience dynamically. Context information is obtained from Yahoo Weather and environmental data pertaining to the room is collected via Cubesensors to study the user's lighting habits. We employs a learning model known as the Reduced Error Prune Tree (REPTree) to analyze the users' preferences, and subsequently predicts the preferred lighting condition to be actuated in real time through Philips Hue. The system is able to ensure the user's comfort at all time by performing a closed feedback control loop which checks and maintains a suitable lighting ambience at optimal level.

关键词： Lighting Meteorology Sensors Automation Computational modeling Context Real-time systems

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Individual Learning Path Building on Knowledge-based Approach 8

Individual Learning Path Building on Knowledge-based Approac...

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ieee 8th International Conference on intelligent data acquisition and advanced computing System-Technology and Applications (IDAACS)

作者： Lendyuk, Taras Melnyk, Andriy Rippa, Sergey Golyash, Iryna Shandruk, Serhiy Ternopil Natl Econ Univ 3 Peremoga Sq UA-46020 Ternopol Ukraine Natl Univ State Tax Serv Ukraine UA-08201 Irpin Kiev Region Ukraine

ISBN: (纸本)9781467383615

Actual task of generation of individual learning path in learning management system using SCORM package is solved. Learning objects metadata enriching in SCORM package with new fields is proposed. It was shown that modern education must adapt to the individual student's characteristics in knowledge control and generation of individual learning path. The generation of individual learning path using the navigation in learning contents with choice of learning objects sequence is proposed.

关键词： individual learning path learning management system SCORM package learning objects metadata learning objects sequence

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Criteria for Selecting the Investment Projects on DEMATEL and ANP Combination 8

Criteria for Selecting the Investment Projects on DEMATEL an...

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ieee 8th International Conference on intelligent data acquisition and advanced computing System-Technology and Applications (IDAACS)

作者： Sachenko, Oleg Hladiy, Grygoriy Bushuyev, Sergey Dombrowsky, Zbyshek Ternopil Natl Econ Univ 3 Peremoga Sq UA-46020 Ternopol Ukraine Kyiv Natl Univ Construct & Architecture UA-03680 Kiev Ukraine

ISBN: (纸本)9781467383615

Based on the analysis of methods of formation of portfolio investments in article is proposed a method for effective selection criteria for evaluating investment projects in the power industry which is based on the analysis of methods of formation the portfolio investments. Selection of projects in the portfolio is advantageously carried out on the basis of the combined modeling techniques DEMATEL and ANP. According to the modeling results was designed the impact-relations-map of these criteria. The rating of criteria affords to evaluate projects within the portfolio and select the best among them.

关键词： investment project energy efficiency selection of projects model, project evaluation criteria DEMATEL ANP

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Fuzzy Rules for Tests Complexity Changing for Individual Learning Path Construction 8

Fuzzy Rules for Tests Complexity Changing for Individual Lea...

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ieee 8th International Conference on intelligent data acquisition and advanced computing System-Technology and Applications (IDAACS)

作者： Lendyuk, Taras Sachenko, Svitlana Rippa, Sergey Sapojnyk, Grygoriy Ternopil Natl Econ Univ 3 Peremoga Sq UA-46020 Ternopol Ukraine Natl Univ State Tax Serv Ukraine UA-08201 Irpin Kiev Region Ukraine

ISBN: (纸本)9781467383615

The fuzzy rules for changing of complexity level at adaptive testing were designed. Using of fussy rules for learning objects optimal selection for generation of individual learning path is proposed. Since the limits of student's knowledge assessment is difficult to determine, it is proposed to use the fuzzy approach. There is proved that using of fuzzy approach simplifies the evaluation of student's knowledge, because fuzzy systems are better understood by students and mark for answering test questions can be also considered as fuzzy. Fuzzy models are transparent enough and understandable, therefore they are acceptable when informative interpretation is more important than simulation accuracy. Experimental results show that adaptive test with fuzzy rules is three times faster that classical test.

关键词： fuzzy system fuzzy rules complexity level adaptive testing learning objects individual learning path

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Improved Multi-Camera 3D Eye Tracking for Human-Computer Interface 8

Improved Multi-Camera 3D Eye Tracking for Human-Computer Int...

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ieee 8th International Conference on intelligent data acquisition and advanced computing System-Technology and Applications (IDAACS)

作者： Panev, Stanislav Manolova, Agata Tech Univ Sofia Fac Telecommun 8 St Kliment Ohridski Blvd Sofia 1756 Bulgaria

ISBN: (纸本)9781467383615

A human being accumulates the majority of the surrounding impressions through vision. With the ability to track and observe a user's gaze, it is possible to obtain deep insights into the person's attention and, based on the gathered information, understand his or hers behavior and actions. In this paper we present an improved Multi-Camera 3D Eye Tracking framework for human-computer interface based on an algorithm that provides automated control of a Pan-Tilt camera (PTC) to follow a person's eye. We employ a fixed 3D wide-angle depth sensor (Kinect) in order to determine the position of the human face and its features, most importantly the eyes. By means of the supervised descent method (SDM), we compute correctly the position of the two eyes using 6 landmarks for each eye and the position of the head. Then, an active pan-tilt camera is oriented to one of the users' eyes, and in this way, a high-precision eye tracking is accomplished.

关键词： eye tracking kinect multi-camera system pan-tilt unit calibration

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A New Technique for Restricted Boltzmann Machine Learning 8

A New Technique for Restricted Boltzmann Machine Learning

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ieee 8th International Conference on intelligent data acquisition and advanced computing System-Technology and Applications (IDAACS)

作者： Golovko, Vladimir Kroshchanka, Aliaksandr Turchenko, Volodymyr Jankowski, Stanislaw Treadwell, Douglas Brest State Tech Univ Brest 224017 BELARUS Univ Lethbridge Lethbridge AB T1K 3M4 Canada Warsaw Univ Technol PL-00665 Warsaw Poland Beckon San Mateo CA 94401 USA

ISBN: (纸本)9781467383615

Over the last decade, deep belief neural networks have been a hot topic in machine learning. Such networks can perform a deep hierarchical representation of input data. The first layer can extract low-level features, the second layer can extract high-level features and so on. In general, deep belief neural network represents many-layered perceptron and permits to overcome some limitations of conventional multilayer perceptron due to deep architecture. In this work we propose a new training technique called Reconstruction Error-Based Approach (REBA) for deep belief neural network based on restricted Boltzmann machine. In contrast to classical Hinton's training approach, which is based on a linear training rule, the proposed technique is based on a nonlinear learning rule. We demonstrate the performance of REBA technique for the MNIST dataset visualization. The main contribution of this paper is a novel view on the training of a restricted Boltzmann machine.

关键词： Restricted Boltzmann machine deep learning data visualization machine learning

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Integrated Assessment Model on Global-Scale Emissions of Air Pollutants 1

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3rd International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA)

作者： Thanh Binh Nguyen IIASA Schlosspl 1 A-2361 Laxenburg Austria

ISBN: (数字)9783319179964

ISBN: (纸本)9783319179964;9783319179957

In order to analyse recent trends and future world emission scenarios, a global analytical tool, namely GAINS-IAM (integrated assess model), has been proposed and developed. In this context, a global-scale multidimensional data cubes has been specified and devloped based on the Semantic Collective Cubing platform, which has also been introduced in our studying literature. In order to prove of our concepts, typical examples have been illustrated to present how the GAINS-IAM system supports the development of global science-driven policies.

关键词： GAINS (Greenhouse Gas - Air Pollution Interactions and Synergies) IAM (integrated assess model) FDWA (Federated data Warehousing Application) framework Semantic Collective Cubing platform

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