At present, the self-similarity of images has received wide attention in many fields such as image compression. Most of the images have strong self-similarity through the human eye visual system observation. However, ...
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ISBN:
(纸本)9781665477260
At present, the self-similarity of images has received wide attention in many fields such as image compression. Most of the images have strong self-similarity through the human eye visual system observation. However, the special images with strong self-similarity for human eye observation such as biomicroscopy are not digitally reflected by a certain algorithm, this paper proposes a self-similarity coefficient algorithm that is applicable to special natural images such as biomicroscopy and aerial photography, which has high self-similarity coefficients for biomicroscopy and other images.
The primary problem solved in rotating machinery fault diagnosis is how to effectively extract fault features from the vibration signals with noise. To extract fault features accurately, this study proposes a multi-sc...
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In this paper, a virtual human dribbling strategy is proposed to realize the programmed animation of virtual human dribbling. First, the dribbling interactive elements are extracted and their shapes, sizes and positio...
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ISBN:
(纸本)9781665477260
In this paper, a virtual human dribbling strategy is proposed to realize the programmed animation of virtual human dribbling. First, the dribbling interactive elements are extracted and their shapes, sizes and positions are planned. Then the balls are attributed and divided. Also, the dominant of the ball trajectory is configured to a specific virtual human to solve the control problem of the ball movement curve in the virtual environment. Finally, according to the division of dribbling behavior, the states of the feet and the ball are analyzed and calculated under different behaviors, and the action transition of the virtual human is carried out through two basic actions to solve the number of action limitation, and combined with ball curve to realize the virtual human dribbling behavior strategy. And the actions are verified by the "Cuju" virtual environment, which confirms the feasibility of individual dribbling of the virtual human.
Different from homogeneous clusters, when distributed training is performed in heterogeneous clusters, there will be great performance degradation due to the effect of stragglers. Instead of the synchronous stochastic...
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The current state of information technologies requires high-performance processing and storing of large data volumes. To satisfy these constantly growing requirements, leading IT companies provide cloud computing serv...
In this paper, we discuss the addition of technologically supported informal social networks for the exchange of previously implicit information attached to documentation within formal organisational frameworks. Focus...
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ISBN:
(纸本)9786028040723
In this paper, we discuss the addition of technologically supported informal social networks for the exchange of previously implicit information attached to documentation within formal organisational frameworks. Focusing on the implementation of technologies to support this social interaction, we first look at why social networks are a topic discussed in recent times, then we put forward plans for a new system developed for this purpose.
Building Information Modeling (BIM) has gained popularities in construction domain as an effective data processing tool as well as a collaboration platform by virtue of its capacity of integrating lifecycle diverse da...
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ISBN:
(纸本)9780993080708
Building Information Modeling (BIM) has gained popularities in construction domain as an effective data processing tool as well as a collaboration platform by virtue of its capacity of integrating lifecycle diverse data. To be truly embraced, the critical issue of effectively processing massive BIM models must be solved. Porting BIM to cloud computing infrastructure is well acknowledged as a promising industry solution. This paper presents MR4BIM, a scalable distributed parallel computing framework enhanced from Hadoop MapReduce (MR). We extend MR model into four stages, which solves MR's unsuitability in construction domain due to difficulties such as even data partitioning, multiple BIM data source, and versioning. Critical issue of increment BIM data judgment as effective MR input data is solved. Based on this framework, a series of key applications are studied. Experiment result from lab environment proves its efficiency.
Data-driven intelligent applications in modern online services have become ubiquitous. These applications are usually hosted in the untrusted cloud computing infrastructure. This poses significant security risks since...
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ISBN:
(纸本)9781450381536
Data-driven intelligent applications in modern online services have become ubiquitous. These applications are usually hosted in the untrusted cloud computing infrastructure. This poses significant security risks since these applications rely on applying machine learning algorithms on large datasets which may contain private and sensitive information. To tackle this challenge, we designed sEcuRETF, a distributed secure machine learning framework based on Tensorflow for the untrusted cloud infrastructure. sEcuRETF is a generic platform to support unmodified TensorFlow applications, while providing end-to-end security for the input data, ML model, and application code. sEcuRETF is built from ground-up based on the security properties provided by Trusted Execution Environments (TEEs). However, it extends the trust of a volatile memory region (or secure enclave) provided by the single node TEE to secure a distributed infrastructure required for supporting unmodified stateful machine learning applications running in the cloud. The paper reports on our experiences about the system design choices and the system deployment in production use-cases. We conclude with the lessons learned based on the limitations of our commercially available platform, and discuss open research problems for the future work.
Web service technology is based on Service-Oriented Architecture (SOA) as new computing paradigm and an intelligent agent platform provides service-discovery, communication, and interaction between heterogeneous platf...
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ISBN:
(纸本)9788955191318
Web service technology is based on Service-Oriented Architecture (SOA) as new computing paradigm and an intelligent agent platform provides service-discovery, communication, and interaction between heterogeneous platforms as middleware. As these trends looked promising, we propose an advanced SOA model using Web service by the intelligent agent platform. We aim to support the interoperability of service-oriented and large scale domain through integration of two technologies in this paper.
Multi-disciplinary virtual prototype (MD IT) based on modeling and computer simulation technology has been applied in a wide range of engineering applications, especially the design, testing and evaluation of complex ...
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ISBN:
(纸本)9781509061990
Multi-disciplinary virtual prototype (MD IT) based on modeling and computer simulation technology has been applied in a wide range of engineering applications, especially the design, testing and evaluation of complex product. Generally, a large set of parameters need to be optimized to improve the performance of the prototype, which comprises a number of heterogeneous models from multiple domains. This calls for numerous collaborative simulation experiments in heterogeneous computing environments which are difficult to build and configure. Cloud simulation is a promising solution with the extremely large resource pool and dynamic construction of virtual computing environments. Thus this paper firstly proposed an optimization framework of MDVP which formulated the domain models, optimizer and the distributed interactive environment on cloud for mufti-disciplinary engineers. Then we designed the procedure for conducting parallel optimization of MDVP in the cloud simulation system by con-current execution of MDIP simulation system. The method proposed in the paper has been applied to a MDVP in the aerospace industry, which indicates that the proposed method can support an efficient engineering methodology that can transform the traditional centralized, serial simulation optimization to the distributed collaborative and parallel simulation optimization.
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