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To solve the adverse effects brought by resource node transfering the using right to local task and the difficult problem of resource load balancing, a two-phase pricing strategy based on QoS constraints is proposed in this paper. On the premise of guaranteeing the benefits of the resource provider in the cost price, this strategy balances the load of the resource provider by the profit price. The...
Multiple-view stereo reconstruction is a key step in image-based 3D acquisition and patchmatch based method is suited for large scale scene reconstruction. In this paper we extend the two-view patchmatch stereo to multiple-view in the multiple-view stereo pipeline. The key of the proposed method is to select multiple suitable neighboring images for a reference image, compute the depth-maps and merge...
This paper presented a method for recording and reconstructing high-quality digital color holographic images. Digital holography with three different wavelength lasers and a monochrome CCD has been demonstrated. With the phase-shifting of the reference beam, in-line holograms for three wavelengths are recorded successively for derivation of the complex amplitude at each wavelength. The three monochromatic...
The understanding of global social pattern can benefit the society operation a lot, including the domestic social governance, international situation awareness, risk assessment and forecasting, conflict resolution, crisis response and future policy planning. As the development of Internet, hundreds of millions of news could be found online every day, reporting the social events around the world, including...
In the process of appling data integration in building an intelligent platform, in order to improve accuracy and effectiveness in data linkage model, we describe radiation relationship refer to classification analysis method, and formulate rules of behavior response for different situations. At the same time, bringing in RD-TCO model to optimize the time cost of response, finishing the response mechanism...
Using fish behavior to reflect changes of water quality and aim at water quality warning is currently a popular topic of environmental monitoring. The fish tracking technology with occlusion is the basis for the analysis of fish school behavior, and only tracking each individual fish accurately in the shoal can get the exact quantitative analysis of their feature. In this paper, we design the data...
In this paper, an automatic control method is proposed for a two rotational degrees-of-freedom (DOF) video tracking system to track a flying object. An acoustic passive localization algorithm based on planar five-element array is adopted, to focus on the flying target when it first appears. The kinematic of the video tracking system is analysed. Then the interaction matrix based on the target centroid...
In view of the present family security coefficient and poor family environment information control were complicated, family members can't access to environmental information conveniently, this paper proposed a Raspberry Pi as nuclear core processor used in the Internet of things of the family embedded robotic system, by used the 802.11 g and TCP/IP, HTTP to realize the infinite distance signal transmission,...
Training samples of the intrusion detection algorithms based on supervised learning is hard to acquire. The accuracy of the intrusion detection algorithms based on unsupervised learning is low. Common semi-supervised intrusion detection algorithms need parameter k which is selected by human. To solve these problems, a semi-supervised intrusion detection algorithm based on natural neighbor is proposed...
Because of inability to estimate the customer power consumption, power plant and substation could not make reasonable arrangements for the maintenance of equipment formerly. This paper proposed a method using wavelet neural network to forecast the electricity consumption. It has important practical significance to provide scientific guidance for maintenance of power generation and distribution equipments...
Priority control is important in information systems that are designed according to SOA because there are services which have different functions and qualities, and a large amount of concurrent service requests may also occur at some point. A message scheduling model based on priority control of the service consumer is proposed. By adding an overall control queue between service consumers and service...
In China, casualties and economic losses are increasing due to disasters recent year. To enhance the ability of disaster prevention and relief, it is necessary to develop the management system of disaster prevention and relief based on building information modeling. The system will be much more intuitive than before with the BIM technology and all the data can be stored in BIM model. This paper discusses...
This paper analyzed the shortcomings that existed in the Memcached Caching Strategy. An improved scheme DCSAE (Data Cached Strategy on Asynchronously Updating for Eventual Consistency) which used asynchronous update based on the eventual consistency theory was proposed. DCSAE generated virtual nodes and assigned them to real nodes according to the weight of each node. The weight was calculated in...
The contribution of memory latency to execution time keeps increasing in modern memory systems. The hierarchical memory based on locality is the design to alleviate this effect. However, a modern memory system is also supported by various concurrency-driven technologies and the effect of leveraging locality with the consideration of concurrency becomes uncertain. We found that concurrency-driven technologies...
Scheduling complex DAG (Directed Acyclic Graph) scientific workflow in the distributed heterogeneous system has attracted widespread attention. Recent researches about multiple DAG workflows in heterogeneous system have been making progress and have solved some problems, but fail to address and to solve some important problems of scheduling Deadline-Constrained multi-DAGs sharing a bounded number...
Aiming at the need for autonomous learning in reinforcement learning (RL), a quantitative emotion-based motivation model is proposed by introducing psychological emotional factors as the intrinsic motivation. The curiosity is used to promote or hold back agents' exploration of unknown states, the happiness index is used to determine the current state-action's happiness level, the control power is...
With the rapid development of computer technology, Software-Defined Radio has become more and more popular. We can now transfer the communication system from hardware to software, which makes it more flexible and helps us virtualize the communication system. In this paper, we creatively introduce a method to guarantee hard real-time in user-space on Linux. Unlike the usual methods, Our method(real...
Current surveillance system in some specific places like bank, hospital or train station are not efficient enough for city manager or policeman. Huge amount of manpower are needed to make full use of these surveillance data in crime research. In this paper, a novel highly automated surveillance system are proposed. The system would get the identification information and human position indirectly by...
Sparse representation classifier (SRC) is a classical method for classification, which was proposed in 2009. SRC method boosted the research of sparse representation, based on SRC, many other new methods were also proposed, such as structured-sparse representation, collaborative representation optimized classifier (CROC), deformable sparse recovery and classification (DSRC) method, misalignment robust...
We propose in this paper a deep learning model based on convolutional neural network (CNN) for biopsy image grading. The model outputs a vector of scores indicating presence or severity of the target histopathological characteristics. Within the model, we first design a 7-layer CNN for feature representation and high level concept extraction. Each biopsy image is expressed as a feature vector through...
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