We investigate the question of how multimodality can be used in computer-mediated mathematical collaboration. To demonstrate our ideas, we present InkChat, a whiteboard application, which can be used to conduct collab...
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We investigate the question of how multimodality can be used in computer-mediated mathematical collaboration. To demonstrate our ideas, we present InkChat, a whiteboard application, which can be used to conduct collaborative sessions on a shared canvas. It allows participants to use voice and digital ink independently and simultaneously, which has been found useful in mathematical collaboration.
the major advancement in distributed and High Performance computing (HPC) systems is the development and evolution of clouds, applications that operate these clouds, and services provided by them. Cloud computing appl...
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ISBN:
(纸本)9781479915484
the major advancement in distributed and High Performance computing (HPC) systems is the development and evolution of clouds, applications that operate these clouds, and services provided by them. Cloud computing applications are expected to facilitate running complex systems on data centers containing storage and computing units in the range of tens to hundreds of thousands of devices. Meeting the needs of cloud computingsystems makes the software deployment process a challenging task. the challenge comes from difficulty in managing the tradeoffs over various dimensions, such as interaction, performance, and security while making deployment decisions. Making deployment decisions exceeds human capability in light of huge increase in computation/storage units in the clouds and software systems running on these clouds. therefore, autonomic approaches to assist software designers in making the software deployment decisions are important. In this paper, we propose an approach based on clustering techniques for deploying software components on the cloud using requirements decomposition. the paper also demonstrates a validation study of the proposed approach with a case study.
In this paper, the key technologies of human motion reconstruction Based on multi-view video are discussed. A more robust motion reconstruction method with markers is presented, which includes camera calibration, mark...
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the proceedings contain 94 papers. the topics discussed include: hybrid CDN-P2P architecture: replica content placement algorithms;I-leach: an efficient routing algorithm to improve performance & to reduce energy ...
ISBN:
(纸本)9781467364904
the proceedings contain 94 papers. the topics discussed include: hybrid CDN-P2P architecture: replica content placement algorithms;I-leach: an efficient routing algorithm to improve performance & to reduce energy consumption in wireless sensor networks;e-learning ecosystem based on service-oriented cloud computing architecture;survey on improved autoscaling in Hadoop into cloud environments;implementation of a parallel method for the graph coloring problem using MPI and verification of the number of processors on it;accuracy evaluation of a credit card fraud detection system on Hadoop MapReduce;credit cards fraud detection by negative selection algorithm on Hadoop;an energy-efficient approach for virtual machine placement in cloud based data centers;an efficient approach for data replication in data grid;and cost effective cloud resource provisioning with imperialist competitive algorithm optimization.
the proceedings contain 61 papers. the topics discussed include: outline of a restriction-centered theory of reasoning and computation in an environment of uncertainty, imprecision and partiality of truth;on structure...
ISBN:
(纸本)9783642339400
the proceedings contain 61 papers. the topics discussed include: outline of a restriction-centered theory of reasoning and computation in an environment of uncertainty, imprecision and partiality of truth;on structure of uncertainties;advances in evolutionary multi-objective optimization;on the applications of fuzzy implication functions;information theoretic security by the laws of classical physics;a multi-algorithmic color iris recognition system;examples of artificial perceptions in optical character recognition and iris recognition;noise influence on the fuzzy-linguistic partitioning of iris code space;excluded middle and graduation;models for ranking students: selecting applicants for a master of science studies;modeling candlestick patterns with interpolative Boolean algebra for investment decision making;and using fuzzy logic to determine if the traffic is constant or not in DTF method.
the proceedings contain 7 papers. the topics discussed include: RESTful business process management in the cloud;towards QoS prediction based on composition structure analysis and probabilistic environment models;buil...
ISBN:
(纸本)9781467364355
the proceedings contain 7 papers. the topics discussed include: RESTful business process management in the cloud;towards QoS prediction based on composition structure analysis and probabilistic environment models;building reliable dynamic applications for ubiquitous computing;dynamic program code distribution in infrastructure-as-a-service clouds;storm prediction in a cloud;framework for evaluating reusability of component-as-a-service (CaaS);and the dark side of SOA testing: towards testing contemporary SOAs based on criticality metrics.
My research seeks to adopt existing knowledge from educational psychology and instructional design and apply it to the field of computer science education in an effort to make learning programming more time efficient....
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In this paper a new fifth-order buck converter is proposed. this converter gives better bucking features at moderate duty ratios. through time-domain analysis steady-state converter performance and then converter elem...
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We applied genetic programming (GP) to search for a strategy in a technical analysis (TA) indicator candidate pool for stock market trading and optimized it through historical data. the method provides decision rule o...
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ISBN:
(纸本)9789898565389
We applied genetic programming (GP) to search for a strategy in a technical analysis (TA) indicator candidate pool for stock market trading and optimized it through historical data. the method provides decision rule optimization scheme to deal with problems in the real trading in financial market, and it optimizes strategies in relatively complicated contents. GP is used to construct the condition in decision rule with different logical operations. the method has been applied to the optimization of investment strategies with good return results in simulation experiments.
Investigating the behavior of materials in plastic limit is very important in different fields of engineering. Due to the simplicity of implementation and numerical stability, implicit types of algorithms are conventi...
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