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121209 articles

A Rain Removal Method Using Chromatic Property for Image Sequence

Peng Liu, Jing Xu, Jiafeng Liu, Xianglong Tang, Wei Zhao
Raindrops degrade the performance of outdoor vision system, and bring difficulties for objects detection and analysis in image sequence. In this paper, we propose an algorithm for raindrop removal using chromatic based properties in order to improve the data quality and vision effect of image sequence....

Clustering Blog Information

Mayank Prakash Jaiswal, H. Chris Tseng
Blogs form an important source of information in today’s internet world. Most of the blog websites have the blogs arranged in chronological order rather than its con-tents. Such arrangement of blogs makes it difficult for the user searching information about a particular topic from the blog. To resolve...

Multilevel Based Global Routing Algorithm for Hierarchical FPGA

Limin Zhu, Jinan Bian, Qiang Zhou, Xianlong Hong
This paper presents an efficient global routing algorithm for a hierarchical inter-connection architecture of FPGA. What is different from the traditional FPGA rout-ing algorithm is that the proposed algo-rithm takes advantage of the hierarchical structure of this particular FPGA. We use a hierarchical...

Improving shape correspondences using salient points

Xin Li, XingWei Yang, Chengen Lu
Quality of a shape matching technique is correlated to the quality of contour point correspondences obtained. Improving correspondences hence can be useful for better shape matching. In this paper we present a framework that can find salient points correspondences along the contour.The results demonstrate...

Type-2 Fuzzy Classifier Ensembles for Text Entailment

Asli Celikyilmaz, I. Burhan Turksen
This paper presents a new Type-2 Fuzzy Classifier ensemble, which enables to model parameter uncertainties by charac-terizing the fuzzy sets with secondary membership values. We use fuzzy clus-tering method to characterize primary membership values and genetic algorithm to approximate secondary membership...

Technical Research on Describing Reconfigurable Systems by Object Oriented Petri net

Jun Guo, Sheqin Dong, Kegang Hao, Satoshi Goto
An object oriented Petri net was proposed in order to describe reconfigurable systems. The formal definitions of this kind of Petri net were presented carefully. The methods of subnet partition were discussed in details. And techniques of mapping objects to reconfigurable platform were discussed as well....

A Fixed-outline Floorplanning Method Based on 2.5D

Sheqin Dong, Qi Xie
In this paper, a fixed-outline floorplan-ning algorithm based on 2.5D is proposed. By using constraints of area and number of pins to divide the modules into 4 layers, it confines the variations of the widths of the floorplans to a small region through common subsequence of sequence pair representation....

Application of Sensitivity Analysis, “Worst Case”, and Maximum Possible Risk (MPR) to Adventitious Events

T. Taylor, T. Whalen, M. Cohen
We present here a logical progression of probability and risk analysis for adventi-tious events, events whose probability is not well measurably different from zero (WMDZ). We will show that such analy-ses culminate in maximum possible risk (MPR) and, further, that MPR is equiva-lent to a boundary condition...

Explicit Spatial-Temporal Simulation of a Rare Disease

Ling Bian, T Whalen, M Cohen, Y. Huang, G. Lee, E. Lim, L. Mao, Y. Yan
This paper reports on the use of possibility theory and agent based explicit spatio-temporal simulation to compare the effects on each of three real communities given the assumption that a rare disease is carried out of a hypothetical high containment biological research laboratory sited in that community....

Maximum Possible Risk Modeling

M. Schütz, M. Cohen, T. Whalen, T. Taylor
Counterfactual assumptions enable a maximum possible risk analysis of the possibility of an aerosol release of pathogens such as anthrax spores from a biological research laboratory. Eight counter-factual assumptions in conjunction ensure that any actual laboratory accident would pose a risk of exposure...

Possibilistic Risk and Counterfactual Probabilities

T. Whalen, T. Taylor, M. Cohen
Possibility theory is applied to assessing the relative risk associated with very rare, high-consequence hazards. The probability of rare negative events has to be estimated from a few past occurrences that are spread over long exposure periods, with counter- measures added in response to each event...

Issues in Microbial Risk Assessment

M. Cohen, T. Taylor, Jr. T. Whalen
Microbial risk assessment is the quantita-tive (or qualitative) characterization of the potential health effects of a particular mi-croorganism on individuals or populations. Practical public health policy/decisions to-day requires rethinking traditional ap-proaches in how microbial risk assessments...

Evaluating the Independent Intellectual Property base on Multiple Goals Decision-Making Method Model for Mechanical and Electrical Enterprises in Jilin Province

Jing Kang, Na Wang, Fuxia Wei
This article introduced Multiple Goals Decision- Making Method applying in the analysis of intellectual property of Jilin Province. First it was established evaluation index system of intellectual property, made the appropriate assignment to the influencing goals of the intellectual property by using...

Study on the Influencing Factors of Online Shopping

Na Wang, Dongchang Liu, Jun Cheng
With the rapid development of network technology, electronic commerce and e-marketing had been formed and developed gradually. The number of Internet users was increasing and wound soon overtake the United States as the world's second-largest national Internet users. however the Chinese Internet users...

A Novel Image Segmentation Algorithm Based on Fuzzy C-means Algorithm and Neutrosophic Set

Yanhui Guo, H.D. Cheng, Wei Zhao, Yingtao Zhang
Image segment is an important step in image processing, pattern recognition and computer vision. Numerous algorithms have been proposed to in this field for last twenty years. However, a generalized segmentation method, especial for noisy image, are not studied greatly. A neutrosophic set (NS), a part...

A New Neutrosophic Approach to Image Denoising

Yanhui Guo, H.D. Cheng, Yingtao Zhang, Wei Zhao
A neutrosophic set (NS), a part of neu-trosphy theory, studies the origin, na-ture, and scope of neutralities, as well as their interactions with different idea-tional spectra. The neutrosophic set is a general formal framework that has been recently proposed. However, the neutrosophic set needs to be...

A NEW NEUTROSOPHICAPPRAOCH TO IMAGE THRESHOLDING

Yanhui Guo, H.D. Cheng, Yingtao Zhang, Wei Zhao
A neutrosophic set (Ns), a part of neutro-sophy theory, studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra. The neutrosophic set is a power-ful general formal framework that has been recently proposed. However, the neutrosophic set needs...

A NOVEL HOUGH TRANSFORM BASED ON ELIMINATING PARTICLE SWARM OPTIMIZATION AND ITS APPLICATIONS

Yanhui Guo, H.D. Cheng, Wei Zhao, Yingtao Zhang
Hough transform (HT) is a well estab-lished method for curve detection and recognition due to its robustness and in-sensitiveness to noise, and its parallel processing capability. However, HT is quite time-consuming. In this paper, an eliminating particle swarm optimization (EPSO) algorithm is studied...

A Novel Approach to Breast Ultrasound Image Segmentation Based on the Characteristics of Breast Tissue and Particle Swarm Optimization

Yanhui Guo, H.D. Cheng, Jiawei Tian, Yingtao Zhang
Breast cancer occurs to over 8% women during their lifetime, and is a leading cause of death among women. Sonography is superior to mammography in its ability to detect focal abnormalities in the dense breasts and has no side-effect. In this paper, we proposed a novel automatic segmentation algorithm...

A Novel Approach to Speckle Reduction to Ultrasound Image

Yanhui Guo, H.D. Cheng, Jiawei Tian, Yingtao Zhang
Speckle noise is inherent in ultrasound images, and it generally tends to reduce the resolution and contrast, thereby,to degrade the diagnostic accuracy of this modality. Speckle reduction is very im-portant and critical for ultrasound imag-ing. In this paper, we propose a novel ap-proach for speckle...

An Extended Fuzzy Logic Method for Watershed

Ling Zhang, Ming Zhang, H.D. Cheng
Fuzzy Logic was intruded by Lotfi A. Zadeh in 1965. It is for solving uncertainty and ambiguity problems. Fuzzy logic is a multivalued logic defined in . However, there are a lot of paradoxes, as proposition, can not be described in Fuzzy Logic. In this paper, we will define an extended fuzzy logic and...

A New Image Binarization Method Using Histogram and Spectral Clustering

Rui Wu, Fang Yin, Jianhua Huang, Xianglong Tang
A novel approach of binarization for gray images is presented in this paper. The proposed algorithm uses the normalized graph cut(Ncut) as the measure for spectral clustering, and the weighted matrix used in evaluating the graph cuts is based on the gray levels of an image, rather than the image pixels...

The Application of Histogram on Rain Detection in Video

Xudong Zhao, Peng Liu, Jiafeng Liu, Tang Xianglong
Rain, which is randomly distributed and falls at high speed, behaves complex in video and makes the work of rain detection hard. The improved histogram model is proposed for detection and removal of rain in video. The properties of this model, which are suitable for both stationary and dynamic scenes,...

A Phrase Combination Approach to Patent SMT

Junguo Zhu, Muyun Yang, Tiejun Zhao, Sheng Li, Qi Haoliang
This paper presents a phrase combination approach to patent SMT (Statistical Ma-chine Translation) for Japanese to English. To minimize the segmentation problems caused by the rich OOV (out-of-vocabulary) words in the patent texts, the character based translation phrases are first introduced to avoid...

Soft Instrument for the Flue Gas Oxygen of Power Plant Based On Improved SMO Algorithm

Yongjie Zhai, Hong Qiao, Haili Li, Guorui Ji, Pu Han
As to the problem that normal SVM algorithm has a high computational complexity with large scale data and the method of selecting parameters of the study machine is complexity,we improved the SMO algorithm in two aspects of structure and parametric selection to increase operational speed and efficiency...

Nonlinear Proximal Support Vector Machine Classifiers Aiming At Large Scale Classification Problems

Xiaoming Xu, Ning Ye, Qiaolin Ye
In [1], Fung et al, had constructed by a very fast algorithm: PSVM classifier, which mainly makes use of the Sherman-Morrison-Woodbury (SWM) identity [1, 7, 8]. However, for one thing, when handling nonlinear problems, the matrix in (1) always is of dimension , such that the SWM identity is of no use....

Research on SVM Algorithm with Particle Swarm Optimization

Yongjie Zhai, Hai-li Li, Qian Zhou
Support Vector Machines (SVM) is a practical algorithm that has been widely used in many areas. To guarantee its satisfying performance, it is important to set appropriate parameters of SVM algorithm. Sequential Minimal Optimization (SMO) is an effective training algorithm belonging to SVM, so is LS_SVM....

Convergence Analysis for Generalized Ant Colony Optimization Algorithm

Daiyuan Zhang
A new algorithm is proposed, which is called Generalized Ant Colony Optimization (GACO) algorithm. Two new functions are presented to model the behavior for describing the pheromone evaporation and pheromone added to the edges that belong to the best-so-far solution. A class of strictly increasing function...

Road Boundary Detection in Complex Urban Environment based on Low-Resolution Vision

Qinghua Wen, Zehong Yang, Yixu Song, Peifa Jia
In this paper, we proposed a real-time road boundary detection method in com-plex urban road environment. The detec-tion difficulty lies in road wear, both exis-tence of marked and unmarked boundary and low-resolution vision. The idea of the algorithm is to extract the road surface firstly using improved...

A Petri-Net Based Approach to Verifying Compositional Correctness of System Components

King Sing Cheung
In component-based system design, one need to obtain from a given set of com-ponents an integrated system which is correct in the sense that the system is live, bounded and reversible. In this paper, based on the composition of augmented marked graphs, we propose a method for verifying correctness of...

Fast Wirelength-driven Partition-based Placement for Island Style FPGAs

Wentao Sui, Sheqin Dong, Jinian Bian, Xianlong Hong
In this paper, we propose a placement method for island-style FPGAs. This me-thod consists of three steps: recursive bi-partition with terminal propagation con-sideration, minimum-cost flow initial placement and low temperature simulated annealing optimization. Unlike the traditional partitioning-based...

Physical Information Driven Packing Method in FPGA

Wentao Sui, Sheqin Dong, Jinian Bian, Hong Xianlong
Packing-integrating basic logic units into higher level logic unit-is an important step in cluster-based hierarchical FPGA placement. The physical information of logic block acquiring before packing has a real influence over both wirelength-driven and timing-driven packing algo-rithms. A new packing...

RESEARCH OF INDOOR LOCATIONMETHOD BASED ON THE RFID TECHNOLOGY

Feifei Guo, Chunkai Zhang, Min Wang, Xiaofei Xu
Growing convergence among mobile computing devices and embedded tech-nology promotes the development and the deployment of “context-aware” applications, where location is the most essential context. In this paper we present an improved probabilistic method based on RFID (Radio Frequency Identification)...

Toolbox for Interval Type-2 Fuzzy Logic Systems

Mohsen Zamani, Hossein Nejati, Amin T. Jahromi, AliReza Partovi, Sadegh H. Nobari, Ghasem N. Shirazi
Type-2 systems has been becoming the focus of research in the field of fuzzy logic in recent years. Comparing with type-1 systems, type-2 fuzzy systems are more complex and relatively more difficult to understand and implement. We developed an interactive graphical user interface (GUI) based toolbox,...

A Fast Method for Monitoring Driver Fatigue Using Monocular Camera

Hongbiao Ma, Zehong Yang, Yixu Song, Peifa Jia
This paper proposes a real time driver fatigue monitoring method. Haar algorithm is used to locate the face and detect the eye, histogram-based automatic threshold algorithm is used to extract the eye contour,finally we use the moving average of eyelid distance to decide whether driver is fatigue or...

Adaptive attacking algorithm against DCT-based watermarking

Tao Zhang, Daoshun Wang, Shundong Li, Xunxue Cui, Yiqi Dai
In this paper we present a new water-marking attacking algorithm based on the periodic transformation of matrix. By analyzing of the principles of adaptive watermarking embedding in DCT domain, we chose some blocks of the stegoimage to embed the watermarking based on the characteristics of human visual...

RTL Test Generation via Fault Insertion and Hybrid Satisfiability Solving

Weimin Wu
Test generation at RTL (Register-Transfer Level) is a challenging task be-cause bit and word variables co-existent and the high-level functional units impose more complex constraints. We propose an effective way to the problem. In our method, given the circuit as well as the fault point to be checked,...

Recommender System based on Higher-order Logic Data Representation

Linna Li, Bingru Yang, Zhuo Chen
Collaborative Filtering help users to deal with information overload and guide them in a personalized way to interesting or useful objects in a large space of possible options. In this paper, we present a novel and elegant hybrid recommender system called HOLCF, which use higher-order logic as data representation...

Regional Gravity Structure Interpretation for Mineral Resource Prognosis Using Neural Network

Dongdai Zhou, Shaochun Zhong, Yangling Li, Xiaochun Cheng
In this paper, a correlative structure model based on regional gravity information is generated using back-propagation neural network. The gravity bouguer anomalies of samples are analyzed. The result has been used to process the 1:1,000,000 gravity horizontal derivation maps of the mining areas in the...

The Study of Regional Structures Identification by Using Remote Sensing Images in Metallogenic Deposit Prognosis

Dongdai Zhou, Wei Zhao, Shaochun Zhong, Sunsun Li
This paper presents a regional structures identification model by using remote sensing images, and the method of automatic extracting feature information from remotesensing images, and recognizing regional structures through spatial correlative analysis with gravitation, magnetic information.

Study on Algorithms of Keyword Confusion Network Generation

Lei Zhang, Meimei Jia, Lili Guo
Keyword spotting based on large vocabulary continuous speech recognition (LVCSR) is the main researching direction of keyword spotting field. Lattice as the middle result of LVCSR, is often used in this system. But because of its big size, the performance is not efficient as we expect to be. In this...

Discrimination of Outer Membrane Proteins using Reformulated Support Vector Machine based on Neutrosophic Set

Wen Ju, H. D. Cheng
Neutrosophic logic is introduced in 1995 as a generalization of fuzzy logic. It includes a new component as neutralities. In this paper, we propose a novel neutronsophic set for SVM inputs and combine it with the reformulated SVM which treats samples differently according to the weighting function. The...

A completely automatic segmentation method for breast ultrasound images using region growing

Juan Shan, H.D. Cheng, Yuxuan Wang
In this paper, we propose a fully automatic segmentation algorithm of masses on breast ultrasound images by using region growing technique. First, a seed point is selected automatically from the mass region based on both textural features and spatial features. Then, from the selected seed point, a region...

Personalized Advertisement System Based On Computational Intelligence

Kemal Kilic
A software company develops an online socialization platform where users inter-act with others at virtual environments. The company’s income is from the adver-tisements displayed at these virtual envi-ronments. They are willing to develop a personalized advertisement system in or-der to increase their...

A novel feature-level multiple HMMs classifier for Lipreading based on Ada-Boost Gabor kernels selection

Shengping Zhang, Hongxun Yao
In this paper, a novel feature-level Multiple HMMs classifier for lipreading is presented. Firstly, it subdivides mouth images into four non-overlapping subblocks. Then AdaBoost is used to adaptively select optimal Gabor kernels from four subblocks convolved with different Gabor kernel functions and...

Acceptance Double Sampling Plan with Fuzzy Parameter

Ezzatallah Baloui Jamkhaneh, Bahram Sadeghpour-Gildeh, Gholamhossein Yari
In the present paper we have proposed a method for designing acceptance double sampling plans with fuzzy quality characteristic. we have argued the acceptance double sampling plan when the fraction of defective items is a fuzzy number. These plans are well defined since if the fraction of defective items...

Probability Estimation in Arithmetic Coding and Its Application

Feifei Zhou, Rui Yang, Bo Li
Arithmetic coding is an indispensable part of high performance data compression, which theoretically could encode data close to Shannon entropy. In arithmetic coding, probability estimation is an important step, because it determines coding efficiency directly. The paper discusses the probability estimation...

Study on Word Alignment for Reordering of Web-mined OOV Translation Candidates

Shuang Li, Meng Sun, Yang Yang, Jianmin Yao
Web information retrieval technology has been widespread concerned by research-ers. Web-based search of the OOV Trans-lation Mining has also become hot spots. In this paper, the re-ordering of OOV translation candidates is studied, which is the result of web mining. Automatic word alignment technology...

A Study on the Analysis System of the Harmony Integration in Privacy Enter-prise Senior Team

Zhen Wang, Wenming Li, Bo Pang
In order to control the development of the private enterprise senior team integration, the leaders of private enterprise must build the analytical system of the harmo-nious integration. The author try to deeply research the structure, levels, es-timating index of the system based on the harmonious theory,...

A Multi-theory Based Definition of Key Stuff in Enterprise

Zhen Wang, Baiqing Sun
Under the environment of hypercompeti-tion, key stuff in one enterprise has al-ready become a key factor of competition between enterprises. But there are so many issues on the definition of key stuff that the enterprise can’t effectively ad-ministrate them and have them work in full potentiality. As...