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Entity resolution identifies entities from different data sources that refer to the same real-world entity and it is an important prerequisite for integrating data from multiple sources. Entity resolution mainly relies on similarity measures on data records. Unfortunately, the data quality of data sources is not so good in practice. Especially web data sources often only provide incomplete information,...
An accurate two-dimensional-three-dimensional (2D-3D) image registration method is introduced in this paper, which is used in image-guided surgery to detect and correct patient movement during image-guided intervention treatment. In this paper, we decompose a 3D rigid transformation in the 3D patient coordinate into in-plane transformations and out-of-plane rotations in two orthogonal 2D projections,...
This paper addresses the problem of real-word spelling errors, and also the problem of omission of effective features due to deficiency of training set in spelling correction. then a method called RCW (real-word correction with Word Net) based on Tribayes is introduced, and it solves these problems to a certain extent. Drawing upon the context information, the score of ambiguous words are calculated...
In the paper the self-calibration bundle block adjustment technique based on the additional parameters is applied to the airborne linear CCD sensor ADS40 geometric calibration. Upon the detailed investigation on the imaging error properties of the three linear CCD sensor, the suitable sensor calibration parameter model is built up, and then the self-calibration bundle block adjustment model for the...
Near-duplicate document detection has received much attention from both industrial and research areas during the recent years. Various methods have been proposed to identify near-duplicate documents that share same content with exception of a small fraction difference. Most of research work are discussed on a centralized system, and focus on the accuracy and efficiency of detection method. However,...
Localization is a vital foundation in Wireless Sensor Networks (WSNs). However, most previous localization methods assume an idealistic radio propagation model that is far from reality. This will lead to inaccurate localization, since unknown nodes cannot receive enough location messages under the radio irregularity model. In our previous work “LMAT”, we solved the path planning problem of the mobile...
Applications like wireless sensor nodes require ultra-low-power ADCs. However, each application has different requirements for accuracy and bandwidth. Recent power-efficient ADCs for sensor applications are mostly designed for a fixed accuracy and a limited range of sample rates [1,2]. An efficiently scalable sample rate (10kS/s to 10MS/s) has been demonstrated before [3], but without scalability...
In multi-dimensional data, Promotional Subspace Mining (PSM) aims to find out the most promotive subspaces for a given object. One major research issue is to produce top subspaces efficiently given a predefined subspace ranking measure. In this paper, we propose EProbe, an Efficient Subspace Probing framework. As opposed to commonly adopted strategies that produce an exact solution, this novel framework...
Kernel learning is an important learning framework in machine learning, whose main idea is a mapping from input space to feature space induced by kernel function which yields a linear separation problem in the feature space. However, the generalization ability of kernel learning, which may lead to over-fitting of training data, has not been formally taken into consideration in previous literatures...
The Discrete Particle Swarm Optimization (DPSO) has little parameters and high convergent capability of the global optimizing. Based on the existing PSO-based classification system we constructed a new classification system based on Discrete PSO. We used the variable-length method to represent particle in the process of operation, represent rule set in a reasonable way and do some appropriate cut,...
Calculating the minimum (or maximum) value of functions is an important problem in optimization field. Applying the method of ant colony optimization (ACO) to solve the problem is an interesting research topic currently, and the main disadvantage is that solution is local optimal. To evade this disadvantage in some degree, in this paper, the ant feature of sensation is used. Experiment shows that...
Simulation of the ultrasound field in photoacoustic tomography (PAT) plays an important role in the study of PAT. The validity of theories can be verified through the simulation without the cost of many experiments, and it is convenient to adjust parameters when the experiment conditions change. In this paper, an improved method is proposed to exactly simulate the ultrasound field. The time-of-flight...
This paper presents a video-based intelligent multidrive vehicle retrograde detection algorithm. Through the vehicle detection and tracking to determine the traffic flow direction on the road, compare the movement direction of vehicles and the traffic flow direction on the road to realize intelligent retrograde detection of multi-drive vehicles. Experiments show that the method is simple and effective...
In reality, the paper money number recognition is significant, which can effectively prevent the illegal trade of paper money. First, this paper makes pretreatment to the paper money, and then for the rapidity and accuracy requirements, a new identification method is presented which based on intersection change and the distance difference between the two points of the character on the special location...
Intrusion of network which couldn't be analyzed, detected and prevented may make whole network system paralyze while the abnormally detection can prevent it by detecting the known and unknown character of data. A mixed fuzzy clustering algorithm that uses Quantum-behaved Particle Swarm Optimization (QPSO) algorithm and combines with Fuzzy C-means (FCM) is adopted in this paper and used in abnormally...
Automatic word segmentation technology is an important component part of modern Chinese information processing. It is the key technology of the Chinese full-text retrieval. This paper presents a Chinese word segmentation algorithm based on maximum entropy. It uses of part-of-speech tagging and word frequency tagging of corpus to establish maximum entropy model based on mutual information as a word...
Analysis of dissolved gases content in power transformer oil is very important to monitor transformer latent fault and ensure normal operation of entire power system. Analysis of dissolved gases content in power transformer oil is a complicated problem due to its nonlinearity and the small quantity of training data. Support vector machine (SVM) has been successfully employed to solve classification...
In Cognitive Radio (CR) networks, spectrum sensing is a crucial technique to discover spectrum opportunities for the Secondary Users (SUs). The Quality-of-Service (QoS) of spectrum sensing is characterized by both sensing accuracy and sensing efficiency. Here, sensing accuracy is represented by the false alarm probability and the detection probability while sensing efficiency is represented by the...
The component mode synthesis (CMS) technique has been widely used in engineering for its efficiency in dynamic analyses. The principle of CMS with fixed interfaces is introduced, the detail steps in calculation are summed up, and the flow chart of algorithm is also given. The dynamic properties of elastic tube bundles are investigated with the application of CMS. The effect of numbers of nominal modes...
In a sensor-aided cognitive radio network, collaborating battery-powered sensors are deployed to aid the network in cooperative spectrum sensing. These sensors consume energy for spectrum sensing and therefore deplete their life-time, thus we study the key issue in minimizing the sensing energy consumed by such group of collaborating sensors. The IEEE P802.22 standard specifies spectrum sensing accuracy...
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