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Compositional models represent visual patterns as hierarchies of meaningful and reusable parts. They are attractive to vision modeling due to their ability to decompose complex patterns into simpler ones and resolve the lowlevel ambiguities in high-level image interpretations. However, current compositional models separate structure and part discovery from parameter estimation, which generally leads...
To reduce the cost of network-wide broadcast in wireless sensor networks (WSNs), it's a common practice to establish a connected dominating set (CDS). A lot of algorithms have been proposed to construct CDS, and most of them aim at reducing the size of the created CDS. Existing distributed algorithms require that all nodes exchange announcement messages to acquire local topology in order to construct...
In the Big Data era, the gap between the storage performance and an application's I/O requirement is increasing. I/O congestion caused by concurrent storage accesses from multiple applications is inevitable and severely harms the performance. Conventional approaches either focus on optimizing an application's access pattern individually or handle I/O requests on a low-level storage layer without any...
Cloud infrastructures have seen increasing popularity for addressing the growing computational needs of today's scientific and engineering applications. However, resource management challenges exist in the elastic cloud environment, such as resource provisioning and task allocation, especially when data movement between multiple domains plays an important role. In this work, we study the impact of...
Increasingly larger scale simulations are generating an unprecedented amount of data. However, the increasing gap between computation and I/O capacity on High End Computing machines makes a severe bottleneck for data analysis. As a solution, in-situ analytics processes output data while simulations are running and before placing data on disk. Data movement between simulation and analytics, however,...
Aiming at the problem of on-line measurement of black liquor baume degree, a soft-measurement scheme based on GSVM (Gaussian Kernel Support Vector Machine) was proposed in this paper. The model used steam pressure and liquor temperature as the secondary variables to predict black liquor baume degree. In terms of the hardware and software development platform of SIEMENS S7-300, a DCS based on soft...
With the emergences of distributed generators (DGs) into the electricity distribution systems, there is an increasing need to understand and quantify their impacts on distribution systems such as voltage, reliability, power quality, etc. This paper presents a novel power flow algorithm based on the equivalent current injection technique. Instead of using the impedance or Jacobian matrices, the proposed...
Power system deregulation and the shortage of transmission capacities have led to increased interests in distributed generation sources (DGs). The high penetration of distributed generation (DG) units at the distribution level have a profoundly influence on grid security, operation, planning, etc. Therefore, based on the back/forward sweep methods, this paper presents a power flow method for radial...
The traditional traffic models are mostly based on Poisson model or Bernoulli process. However, in recent decade, it has been found in traffic measurements the coexistence of both long-range and short-range dependences in network traffic. Collision resolution algorithm (CRA) is an efficient strategy to improve the performance of multiple access protocols, and achieves the highest capacity among all...
In this work we have undertaken a comparison of several previously reported computer codes which solve the semiclassical Boltzmann equation for electron transport in silicon. Most of the codes are based on the Monte Carlo particle technique, and have been used here to calculate a relatively simple set of transport characteristics, such as the average electron energy. The results have been contributed...
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