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International Conference on Computer Science and Information Technology (CSIT)

作者： Xian Wu Lan-fang Dong De-tang Lu University of Science and Technology of China Hefei Anhui CN Anhui Province Key Lab of Software in Computing and Communication Hefei China Institute of Engineering and Science Software University of Science and Technology Hefei China Institute of Engineering and Science Software University of Science and Technology of China Hefei China

A modified physics-based method is adopted to control the water waves, and the discretization of the governing 2D N-S equation is taken as the interaction between the variables in spaces, based on the idea of spreading though the neighboring regions. Meshing model of the water surface is based on a terrain LOD scheme called Tiled Quad-tree. With that the region of water surface can be extended unboundedly. A new controlling strategy is used, that the driving parameters of the water movement is taken separately, so it's easy to change parameters in real time while generating various water waves. Reflection and refraction of rays in water is simulated to improve the visual impression. It is shown that these methods can efficiently produce realistic movement of various water waves in real-time.

关键词： Computational modeling Navier-Stokes equations Animation Layout Automatic control Computer graphics Fluid dynamics Shape control communications technology Control system synthesis

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A low-cost pedestrian-detection system with a single optical camera

A low-cost pedestrian-detection system with a single optical...

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作者： Cao, Xian-Bin Qiao, Hong Keane, John IEEE Department of Computer Science and Technology University of Science and Technology of China Hefei 230026 China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230026 China Laboratory of Complex Systems and Intelligent Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China School of Informatics University of Manchester M60 1QD Manchester United Kingdom University of Manchester M13 9PL Manchester United Kingdom

The ultimate purpose of a pedestrian-detection system (PDS) is to reduce pedestrian-vehicle-related injury. Most such systems tend to adopt expensive sensors, such as infrared devices, in expectation of better performance. In comparison, a low-cost optical-camera-based system has much potential practical value, including a greater detection range, and can easily be trained to detect other objects. However, such low-cost systems are difficult to design (e.g., little original information can be collected, and the scene is very complex). To address these problems, an effective and reliable classifier is needed. The classifier should have a proper structure, its features need to be well selected, and a large number of high-quality samples are necessary for training. In this paper, we present a low-cost PDS which only uses a single optical camera. We design a cascade classifier to achieve an effective and reliable detection. First, our system scans two sequential frames at each zoom scale with a sliding window. Second, with each window, both appearance and motion features are extracted. A well-trained cascade classifier, combining statistical learning with a decomposed support-vector-machine classifier, then determines whether the window contains a human body. At the same time, to provide as much information as possible about the pedestrian, a small-scale weighted template tree trained by a coevolutionary algorithm is adopted to identify each pedestrian's direction, and the distance of each from the vehicle is also provided using an estimation algorithm. During the training procedure, we select key features by using the AdaBoost algorithm and a large number of high-quality samples. Experimental results demonstrate that the system is suitable for pedestrian detection in city traffic: The detection speed is more than 10 ft/s, the detection rate reaches 80%, and the false positive rate is no more than 0.3‰. © 2008 IEEE.

关键词： Pedestrian safety

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Improved Uniform Linear Array Fitting Scheme with Increased Lower Bound on Uniform Degrees of Freedom for DOA Estimation

TechRxiv

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TechRxiv 2022年

作者： Shi, Wanlu Li, Yingsong The College of Information and Communication Engineering Harbin Engineering University Harbin150001 China The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Anhui Hefei China

Recently, uniform linear array (ULA) fitting (UF) principle is proposed for sparse array (SA) design using pseudo-polynomial equations. Typically, it is verified that the designed SAs via UF enjoy a lower bound on uniform degrees of freedom (uDOF), which is approximately 0.5N2 with N sensors. Herein, an improved UF (IUF) scheme is proposed to significantly increase the lower bound on uDOF, which is realized by introducing two sub-ULAs, with name of adjoint transfer arrays (ATAs), on both sides of a transfer sub-ULA. The ATAs together with the transfer sub-ULA serve as a new layer to construct an adjoint transfer layer (ATL) that has improved aperture in comparison with traditional transfer layer to improve the lower bound on uDOF, which is derived in detail. Furthermore, two novel SAs are developed based on the ATL to verify the effectiveness of the proposed IUF scheme to increase the uDOF. Numerical simulations verify the superiority of devised SAs for direction-of-arrival (DOA) estimations. © 2022, CC BY.

关键词： Polynomials

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Nonnegative Maximum Correntropy Adaptive Algorithm and Its Statistical Analysis

TechRxiv

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TechRxiv 2022年

作者： Sun, Zeyang Li, Yingsong College of Information and Communication Engineering Harbin Engineering University Harbin150001 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Anhui Hefei China

Dynamic system modeling methods have become a hot topic for stationary and nonstationary signal processing. Nonnegativity is a desired constraint that usually exerts on to be estimated parameters, and its generation usually based on the inherent physical characteristics of unknown system. Moreover, non-Gaussian noise is present in many practical system identification situations. In this paper, an adaptive nonnegative maximum correntropy criterion (NNMCC) algorithm is proposed for system identification under non-negativity constraints. We derive the NNMCC algorithm based on the Karush-Kuhn-Tucker conditions and a fixed-point iteration scheme. The first-order and second-order moments of the NNMCC algorithm adaptive weights are theoretically analyzed. Experimental results validate the theoretical analysis and illustrate the superior performance of NNMCC in non-Gaussian noise environments. © 2022, CC BY.

关键词： Adaptive filtering

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Transient Convergence Analysis of Least Lncosh Algorithm

TechRxiv

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TechRxiv 2022年

Lncosh function has been used for constructing a cost function for devising an adaptive filter algorithm to provide a desired performance under non-Gaussian noise, naming as least Lncosh algorithm (LLA). However, its transient behavior analysis has not been analyzed and investigated. As an important characteristic for the LLA, the transient behavior affects its performance in real-world applications. Herein, we present the theoretical model for evaluating the mean weight behavior and the transient excess mean square error (EMSE) behavior of the LLA. In addition, the proposed models can also be used to predict the transient behavior of the adaptive filtering algorithms with error nonlinearities under non-Gaussian noises. The experiment results have verified the validity of the presented models. © 2022, CC BY.

关键词： Adaptive filters

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IPRAR: A DFG-based approach to instruction clustering for multicluster VLIW DSP processor with SIMD structure

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Journal of Computational Information Systems 2014年第3期10卷 1257-1269页

作者： Yang, Yangzhao Gu, Naijie Zhao, Zeng Ren, Kaixin School of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Anhui Province Key Laboratory of Computing and Communication Software Hefei 230027 China USTC and Loongson Technology Associated Laboratory Institute of Advanced Technology University of Science and Technology of China Hefei 230027 China

Modern Very Long Instruction (VLIW) DSP can improve performance by using instruction-level parallelism (ILP) and obtain better parallelism through instruction clustering. The essence of clustering is resource allocation. Traditional clustering method assumes that one instruction can only be assigned to a certain cluster, which is inapplicable to the architecture with SIMD structure. To address this issue, this paper presents IPRAR, a novel instruction clustering algorithm for the features of SIMD structure based on DFG. Due to considering the features of SIMD structure, IPRAR can be implemented on BWDSP100 with satisfactory. Besides, IPRAR can make the load of cluster more balanced and minimize the intercluster communication overload. Finally, numerous experiment results show that the IPRAR has an average of 7-10% performance improvement compared to the traditional methods. © 2014 Binary Information Press.

关键词： Clustering algorithms

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Implicit curves and surfaces based on BP neural network

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Journal of Information and Computational Science 2005年第2期2卷 259-271页

作者： Li, Daolun Lu, Detang Kong, Xiangyang Wu, Gang Laboratory of Software in Computing and Communication of Anhui Province University of Science and Technology of China Hefei 230026 China Institute of Engineering and Science Software University of Science and Technology of China Hefei 230026 China Nanjing University of Finance and Economics Nanjing 210012 China

Neural networks, combined with implicit polynomials, can be employed to represent 2D curves as well as 3D surfaces. The zero-set of a neural network can be used to describe data points constituting a 2D curve or 3D surface. The neural network fitting algorithms developed in this paper aim to reduce the learning time of neural network by selecting the exterior and interior constraint points simultaneously and improve the fitting performance by using the linear transfer function at the output layers. The neural network adopted so far is a multilayer feed-forward type. Simulation results show that the proposed algorithms provide a significant reduction in learning time, and good fitting results. This paper lays the bases of the neural network modeling approach.

关键词： Computer graphics

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A Local Trust Model Based on Time Influence Function in P2P Networks

A Local Trust Model Based on Time Influence Function in P2P ...

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2015 6th IEEE International Conference on software Engineering and Service Science(ICSESS 2015)

作者： Yan-xia Cui Hong-yun Ning Yun-yun Du Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology School of Computer and Communication Engineering Tianjin University of Technology Key Laboratory of Computer Vision and System Ministry of Education School of Computer and Communication Engineering Tianjin University of Technology

In peer-to-peer network environment, there is no centralized management authority to be relied on, so the service provider and service requester have to establish some assessment model, and evaluate the dynamic behavior of others, then choose more credible trusted entities to interact. Only in this way can they ensure security, safety and reliable decisions. On the basis of Eigen Trust model, a local trust value computation model considering time effect function is put forward, and it reduces the network overhead, increases the binding force of malicious nodes,and makes the trust value computation model more reliable and accurate. Simulation experiments show that the improved model proposed in this paper greatly reduces the network overhead indeed, and transaction success rate of nodes is higher than Eigen Trust model in the presence of malicious nodes in the P2P system.

关键词： component P2P network security trust models time influence function

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Optimizing BLAS2 for a decoupled access/execute architecture processor

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Journal of Computational Information Systems 2014年第3期10卷 1231-1241页

作者： Zhao, Zeng Gu, Naijie Yang, Yangzhao Ren, Kaixin School of Computer Science and Technology University of Science and Technology of China Hefei 230027 China USTC and Loongson Technology Associated Laboratory Institute of Advanced Technology University of Science and Technology of China Hefei 230027 China Anhui Province Key Laboratory of Computing and Communication Software Hefei 230027 China

Basic Linear Algebra Subroutines (BLAS) is a widely used basic mathematical library for high-performance computing. It has a great impact on the performance of supercomputers. This paper focuses on memory accessing optimization for the level-2 library of BLAS (BLAS2) based on Godson-3B chips. The key contribution of this work is proposing several methods to make full use of the Godson-3B's hardware features, as well as to improve the performance of memory access. GEMV, the kernel function of BLAS2, is selected to demonstrate the optimization methods for Godson-3B. Using Single Instruction Multiple Data (SIMD) instructions, Direct Register Access (DRA) and Direct Cache Access (DCA) of Godson-3B, two optimization algorithms for GEMV are introduced in this paper. Experiments show that the best computing performance of the optimized GEMVs on Godson-3B is more than 1.8Gops, which is far superior to that of other versions. While the test scale of GEMVs is greater than the size of L2-cache, its average performance exceeds UBLAS and OpenBlas, the two most famous optimized BLAS libraries for GODSON, by more than 60% and 20% respectively. © 2014 Binary Information Press.

关键词： Supercomputers

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Improvement of key in ZigBee wireless network

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Information Technology Journal 2013年第18期12卷 4593-4596页

作者： Li, Wenjie Cao, Qianqian Liu, Zhuzi Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology School of Computer and Communication Engineering Tianjin University of Technology Tianjin 300384 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology China

Zigbee provides a connection to a variety of wireless devices and solves the problem of the communicating between different protocols. ZigBee can provide wireless communication which is low rate, low complexity, short distance and low cost. Due to the existence of various attacks in the wireless transmission, security becomes a bottleneck for Zigbee applications. In the study, we designed the model based on dynamic key which is sent in Zigbee network and analyzed its performances. © 2013 Asian Network for Scientific Information.

关键词： Zigbee

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