There is an important relationship between the stability of protein complex and hot region. Research has shown that in protein-protein interaction (PPI), residues are denser around the hot region. Therefore, this pape...
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ISBN:
(纸本)9781479956708
There is an important relationship between the stability of protein complex and hot region. Research has shown that in protein-protein interaction (PPI), residues are denser around the hot region. Therefore, this paper proposed an algorithm based on Gi statistics, regional division rule and regional amplification principle to form residue dense region (RDR);Then, according to the results of cascade classifier composed of Naive Bayes and Back-Propagation (BP) neural network classifier, non-hotspot residues in RDRs were removed;At length, we used binding free energy change value calculated from Robetta Server to modify predicted hot regions. The experimental results showd that the proposed method can effectively improve the prediction accuracy on hot regions.
The problem of base station (BS) planning for TD-LTE network is studied in this paper. This method takes various factors into consideration according to the public attitude. The public attitude plays an important role...
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ISBN:
(纸本)9781479970926
The problem of base station (BS) planning for TD-LTE network is studied in this paper. This method takes various factors into consideration according to the public attitude. The public attitude plays an important role in the process of BS planning. We choose the area where the network performance is the worst to build BS, according to public attitude, Monte Carlo method and least cost path analysis. The experience results show that after building a few BS, the network performance of planning area is generally good. The method has good application value.
Electric valve has been applied to various occasions and domains. In some adverse environments where such defects of traditional control system as low efficiency and poor safety have been exposed, optical encoder is a...
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The ant colony optimization (ACO) algorithm is a new heuristic algorithm that offers good robustness and searching ability. With in-depth exploration, the ACO algorithm exhibits slow convergence speed, and yields loca...
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According to the problem that conventional laminated paper counting algorithms have some unavoidable shortcomings such as high dependence on the quality of laminated paper and noise sensitivity, we propose a laminated...
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ISBN:
(纸本)9781479953004
According to the problem that conventional laminated paper counting algorithms have some unavoidable shortcomings such as high dependence on the quality of laminated paper and noise sensitivity, we propose a laminated paper counting algorithm based on compressive sensing (CS) and Hough transform (HT). In the proposed algorithm, the over-complete dictionary which is created by dispersing the Hough transform space of straight lines acts as the sparse matrix. Making use of high degree of sparse nature of the laminated paper image, we can obtain the accurate result through using CS theory. Experimental results on simulation images and laminated paper images have shown that our proposed algorithm can effectively restrain noise of the laminated paper image, and will get accurate experimental results with fewer CS measurements.
Network coding (NC) is one of the promising techniques to improve network throughput towards the Shannon limit. NC has been proven to be able to achieve the max-flow min-cut bound for single source multicast networks....
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ISBN:
(纸本)9781479949212
Network coding (NC) is one of the promising techniques to improve network throughput towards the Shannon limit. NC has been proven to be able to achieve the max-flow min-cut bound for single source multicast networks. For multi-information-source multicast networks, however, the question of how to use NC is still to be answered. In this paper we will focus on the simple case of multi-information-source independent network encoding. The region of admissible rate set of this case will be provided. With this rate region obtained, more advanced network encoding algorithms for multi-information source multicast networks can be further developed.
Human action recognition technology has been applied to intelligent security surveillance, content-based image and video retrieval and natural user interface. How to make use of the new type of data, 3D skeleton joint...
Human action recognition technology has been applied to intelligent security surveillance, content-based image and video retrieval and natural user interface. How to make use of the new type of data, 3D skeleton joint position extracted by 3D depth camera, has been a highly active research topic. A posture representation model is proposed, which is invariant to limb length, length ratio between body parts and body orientation. This model contains polar angle and azimuthal angle of each limb in the spherical coordinate system which is established by the features of body joints. Hidden Markov Model（HMM） is exploited for recognition. Skeleton sequences of different body orientation are collected as experimental data. Experimental results demonstrate the effectiveness of our approach.
Aiming at the problem of constructing huge amounts of projected databases in Prefix Span algorithm,this paper proposes an Improved Prefix Span algorithm for Mining Sequential Patterns,called BLSPM algorithm（based on ...
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Aiming at the problem of constructing huge amounts of projected databases in Prefix Span algorithm,this paper proposes an Improved Prefix Span algorithm for Mining Sequential Patterns,called BLSPM algorithm（based on bi-level Sequential Patterns Mining）.The algorithm use duplicated projection and certain specific sequential patterns pruning,reduce the scale of projected databases and the runtime of scanning projected databases,thus,the efficiency of algorithm could be raised up greatly,and all needed sequential patterns are *** results shows that BLSPM algorithm is more efficient than Prefix Span algorithm in large databases.
In this paper, we propose Weighting Inter-class Separating Fuzzy Clustering (WISFC) algorithm and employ it to content-based image retrieval (CBIR). Firstly, the training data set is clustered by k-means algorithm. Th...
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Moving cast shadow detection is an active research field with improving the performance of moving object detection. In this paper, we propose a novel cast shadow detection method by exploiting the local texture simila...
Moving cast shadow detection is an active research field with improving the performance of moving object detection. In this paper, we propose a novel cast shadow detection method by exploiting the local texture similarity and the intensity ratio effectively between the shadow and background patches. Firstly, local texture analysis of the initial moving patches is carried out using local binary patterns , and a part of moving object pixels and shadow pixels will be detected exactly. Then, the residual moving pixels are classified by the intensity ratio. Consequently, moving shadow pixels and moving object pixels are located respectively. Specially, post processing is employed to adjust error pixels acquired through the first two steps. In order to prove the efficiency and feasibility, comparable experiments are performed and the results validate that it can detect the shadow pixels more accurately and completely than some state-of-the-art methods.
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