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In biomedical research, events revealing complex relations between entities play an important role. Event trigger identification is a crucial and prerequisite step in the pipeline process of biomedical event extraction. There exist two main problems in the previous work: (1) Traditional feature-based methods often rely on human ingenuity, which is a time-consuming process. Though most representation-based...
Given an undirected network where some of the nodes are labeled, how can we classify the unlabeled nodes with high accuracy? Loopy Belief Propagation (LBP) is an inference algorithm widely used for this purpose with various applications including fraud detection, malware detection, web classification, and recommendation. However, previous methods based on LBP have problems in modeling complex structures...
Video coding has become widespread through mobile devices. At the same time, the adopted resolutions have been enlarged, demanding more coding efficiency and motivating the development of the new state-of-the-art standard, High Efficiency Video Coding (HEVC). However, to achieve the required efficiency the new standard greatly increased the computational intensity. That, allied to real-time constraints...
The increasing resolutions combined with storage and processing limitations of mobile devices point to the need for new compression techniques for video coding. Meanwhile, to achieve higher compression rates without compromising quality, the coding process becomes more and more complex. In reference software of HEVC the most time consuming step is the execution of Motion Estimation (ME), which is...
Fault tree analysis (FTA) is a prominent reliability analysis method widely used in safety-critical industries. Computing minimal cut sets (MCSs), i.e., finding all the smallest combination of basic events that result in the top level event, plays a fundamental role in FTA. Classical methods have been proposed based on manipulation of boolean expressions of fault trees and Binary Decision Diagrams...
Existing methods for layer-based backward compatible high dynamic range (HDR) image and video coding mostly focus on the rate-distortion optimization of base layer while neglecting the encoding of the residue signal in the enhancement layer. Although some recent studies handle residue coding by designing function based fixed global mapping curves for 8-bit conversion and exploiting standard codecs...
To deal with the fastly increasing energy consumption and energy costs in the manufacturing process, manufacturing companies are forced to search some methods to reduce energy cost without affecting the yield of their products or sacrificing quality. In this paper, an extended job shop scheduling problem, where machines can work at different speeds with different energy consumption, is modified. A...
In this study, artificial learning approach which can express high dimensional data in a lower space (autocoding) and known as “autoencoder” in the literature has been investigated in detail without using a predefined ready mathematical model. The most important feature of this method, which can be used in place of traditional feature extraction methods (HOG, SHIFT, SURF, Wavelet, etc.), is the ability...
A new mathematical principle relating to the optimum placement of structural elements in spatially or temporally distributed information systems (e.g. 2D data arrays) with respect to redundancy and vector processing speed, using novel design based on combinatorial configurations expounds. The research covers various aspects of modern computer sciences and information technologies including a teacher...
A new approach to optimum processing of multi-dimensional data arrays for advanced information technologies and education informatics, using innovative mathematical principle based on the combinatorial configurations expounds in this paper. This approach relates to the optimum arrangement of structural elements in two-or multi-dimensional arrays with respect to minimizing of retrieval capacity, and...
The paper specifies the value of evaluation of accuracy necessary for correct operation of number conversion algorithm from residue number system in weighted number system with use of the approximate method. On the basis of the approximate method the method of computation of residue number system bases extension is offered. Simulation shows that when checking large prime numbers the check algorithm...
This paper presents pilot symbol aided channel estimation in Filter Bank Multicarrier (FBMC). FBMC has been employed widespread in communication applications because of its good spectral behaviors. Unlike Orthogonal Frequency Division Multiplexing, FBMC structure avoids imaginary interference. So that auxiliary symbols are employed and decrease peak to power ratio and improve achievable capacity....
The possibility of describing the encoding and decoding procedures Bose-Chaudhuri-Hocquenghem codes using the summation operations modulo 2 is researched. This allows you to simplify these procedures and improve efficiency by correcting the error of the triplicate. There identified coding equations and triangular match tables: the syndrome — the distortion of the position.
The prediction of time series is one of the most important scientific fields in information sciences (for example, in the development of AI). One of the most difficult tasks is how to reduce the time of building a prediction. In this paper the efficient method of calculating universal-coding-based predictors is presented. This approach allows to calculate the Krichevsky predictor and similar ones...
The characteristics of quantum channel play important roles on designing a high performance quantum communication system. In this paper, we analyze the fidelity of polarization state travelling through a non-Markovian optical fiber depolarizing quantum channel with color noise environment. The quantum bit error rate (QBER) of a polarization coding BB84 quantum key distribution (QKD) system under non-Markovian...
In this paper we revisit the problem of deriving the expected number of transmissions for multicasting random linear coded (RLC) packets on single-hop wireless channels. We show by deriving the closed form expression for an instance of the problem that previous analytical formulation does not accurately model the true expected number of transmissions, especially for smaller finite field size. Our...
In this paper, an investigation of multiview video coding schemes is presented, based on different inter-view prediction structures and various group of pictures (GOP) sizes. The studied inter-view prediction schemes in this paper are: A new approach namely “PIP”, recently proposed (PBI), and the benchmark structure (MVC). Results of the conducted tests allow to order the studied inter-view structures...
DNA computing is a method of applying interactions among biological macromolecules to realize parallel computation, which has the extensive foreground of application. However, it is usually time consuming and expensive to validate the accuracy of DNA computing algorithms experimentally. Therefore, to reduce the cost of experiments, it is necessary to develop mathematical models for computer simulations...
The location problem of logistics center is the key process of logistics distribution, in order to improve the accuracy of the location of logistics center, this paper according to the parallelism and characteristics of global optimization of genetic algorithm. A method based on genetic algorithm is proposed to solve the problem of logistics center location, and set up with the minimum total cost...
In order to reduce the computational complexity of the intra prediction module in HEVC, this paper proposes an optimization method for intra prediction mode selection. First, the size of the prediction block PU in HEVC is obtained. For 4×4 size PU block, the prewitt operator is used to extract the texture direction. Then, we judge whether the texture direction is obvious or not. If it is obvious,...
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