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With the development of economy and society, marine environmental pollution is becoming serious. It is of great significance to evaluate conditions of marine environmental quality correctly. This paper selected inorganic nitrogen, activated phosphate, dissolved oxygen and chemical oxygen demand as evaluation indexes. Then it established an evaluation model of marine environmental quality based on...
The Acceleration Plethysmogram (APG) is used to calculate the heart rate (HR) and HRV. The APG is an optical technique that has been developed for experimental use in vascular diseases. It is considered a promising tool that may replace some of the current traditional cardiovascular diagnostic tools. The performance of the proposed algorithm when tested on 26 records measured at rest showed very promising...
When Venturi meters are used in wet gas the measured differential pressure is higher than it would be were the gas phases flowing alone. This phenomenon is called over reading, This paper proposed a new Venturi wet gas correlation based on homogenous and separated assumption, and its validity is verified through experiment. a new test program has been implemented in Tianjin University's low pressure...
The accuracy of space interpolation can be improved by using the multiple data with different dimensions, resolutions or types. Cokriging can estimate unknown states by multiple known data, with an unbiased prediction value and minimum prediction variance. However, because of the large smoothing effect of itself, cokriging can only reflect the extensive tendency of interpolation, not capable of showing...
To improve information hiding algorithm, an improved algorithm realizing digital image watermark embedding in the transform domain is presented. On the basis of deeply understanding that the coefficient of a digital image after Discrete wavelet transform has correlation, it carries out discrete cosine transform of the transformed digital image coefficient and then embeds digital watermarks, which...
In this paper, we proposed a novel recommendation model based the synergistic use of knowledge from repository which includes users behavior and items property. This model defined user profile and item profile, and constructed the candidate recommendation set by using Formal Concept Analysis and extended inference. We attempted to apply FCA mapping the relationship between user's preference and item...
In distributed estimation fusion, locally obtained estimates are transmitted to the central processor via noisy channels. Traditionally, optimal linear methods are applied to solve the fusion problem under Gaussian noise assumption that can be severely violated in practise when channel noises are heavy-tailed. Hence, those methods should be replaced by robust analogs. M-estimates are well-known robust...
Pseudo random binary sequence (PRBS) signal was developed using MATLAB software and used as a forcing function in simulated second order system. The autocorrelation function (ACF) of the input signal and cross correlation function (CCF) between input and output signal were performed using MATLAB software and transfer function of the system was estimated from the correlograms. For verification of the...
We propose a measure for the validation of clusterings of gene expression data. This measure also useful to estimate missing gene expression levels, based the similarity information contained in a given clustering. It is shown that this measure is an improvement over the figure of merit, an existing validation measure especially developed for clusterings of gene expression data.
3D reconstruction based on high-level features, such as line and plane, is a significant development trend in Digital Photogrammetry and Computer Vision. Moreover how to rapidly realize 3D visualization of street landscape is very important for cyber city's 3D modeling. In order to improve efficiency of street 3D visualization and reduce human-computer interaction, a scheme with high feasible and...
As an improved unsupervised learning algorithm of CCA, Kernel Canonical Correlation Analysis (Kernel CCA) can extend CCA to the nonlinear case by applying the kernel trick. In this paper, an optical character recognition system based on image preprocessing technologies combined with Kernel CCA has been developed. Moreover, due to the duality between Kernel CCA and LS-SVM, the optimization problem...
How to solve contradictory problems in product family configuration design correctly and effectively has become a hot focus in the adaptable and rapid design areas in recent years. For this purpose, a survey about the theory system, key technologies and perspective of Product Family Extension Configuration Design (PFECD) and its application in the mass customization is reported. The state-of-arts...
Goodness of pronunciation (GOP) is a confidence measure widely used in automatic pronunciation evaluation (APE) and it does not use the phone loop recognition lattice to calculate the confidence score. This paper presents a lattice-based GOP algorithm utilizing the information from the lattice, in order to obtain a more accurate confidence score. Experimental results reveal that the proposed LGOP...
To enhance measure precision in across screens measure system, the methods to acquire the time including projectile nose, projectile bottom, middle screen, and generalized correlation are put forward and further researched. The screen information moment acquiring was analyzed base on across screen measure system. According to the characteristic when projectile enter screen different location and the...
Through quantitative analysis, previous researched had proven a significant preference towards a specific set of notations for modeling business processes. The drawn conclusion revealed a significantly correlated coefficient preference to Norm Process Chart for using easily recognizable symbols to intuitively elicit clear understanding in representing business process models. Further interpretative...
The detection of malicious files is an important component of any intrusion detection system. Due to increases in network speeds and new worms being discovered frequently, there arises a need to detect worms on the fly without totally relying on signatures. There are methods available for detecting malicious files by looking into the dynamic behavior of the files. However, in most of these cases the...
Sensor nodes are prone to produce faulty sample data because of poor quality and harsh environment. In this paper we put forward STCOD algorithm which uses spatial and temporal correlations between sensor nodes to distinguish faulty sample data from outlier data. STCOD algorithm includes three child algorithms which are outlier self-detection algorithm, neighbor-voting algorithm and outlier confirming...
In this paper, we present a line detection fusion method using Spatial Frequency Measurement (SFM). Our proposed method, A?? trous algorithm is firstly applied with the original image to get the line feature detail information in two difference resolutions from a coarse one with 5??5 mask and a fine one with 3??3 mask. Next, both line feature detail information are fused to get a complete line feature...
In this paper, we introduce a load forecasting method for short-term load forecasting which is based on a two-stage hybrid network with weighted self-organizing maps (SOM) and autoregressive (AR) model. In the first stage, a weighted SOM network is applied to split the past dynamics into several clusters in an unsupervised manner. Then in the second stage, a local linear AR model is associated with...
Financial management assessment is starting point of entire financial management work. Analytical hierarchy process (AHP) method is proposed to assess financial management in the paper. Firstly, assessment indexes of structural levels are constructed by analyzing the correlation of each index. The pairing comparison matrix is established based on analytical hierarchy process. Characteristic vector...
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