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Evaluation of the dynamic performance characteristics of several different types of electrical energy meters using experimental equipment are presented, including the development of the dynamic power source, the selection of the standard meter to provide reference values, and the estimation of the uncertainties. Their behaviors and results are reported and analyzed.
In computer-aided diagnosis of breast MRI, a precise segmentation of the breast is often required as a fundamental step to facilitate further diagnostic tasks, e.g., breast density measurement, lesion detection and automatic reporting. In this work, a fully automatic method dedicated to breast segmentation is proposed, which comprises four major steps: sheet-like structures enhancement, pectoralis...
Growing number of services need efficiently locating the desired web services. The similarity metric plays an important role in service search. However, most solutions only exploit information available in the descriptions of services and employ a single similarity metric. We observe that under different contexts the descriptions of services vary in their level of semantic ambiguity. It is hardly...
Compared to globality based supervised dimensionality reduction methods such as Fisher Discriminant Analysis (FDA), locality based ones including Local Fisher Discriminant Analysis (LFDA) have attracted increasing interests since they aim to preserve the intrinsic data structures and are able to handle multimodally distributed data. However, both FDA and LFDA are usually solved via a ratio trace form...
Meta-models are widely used to facilitate the analysis and optimization of engineering systems that involve computationally expensive simulations. Kriging is widely used as a meta-modeling technique to build surrogate models. However, the assumption of a stationary covariance structure underlying Kriging does not hold in situations where the level of smoothness of a response varies significantly....
The precision of the weigh-in-motion is a very important factor for WIM system in the practice of WIM technology. To improve the precision of WIM, The mathematic model for dynamic weighing technique is established in this paper, followed by WIM practice emphasized in investigating some key factors such as vehicle runs, vehicle speed and temperature to three types of WIM sensors to validate the influence...
Location information of nodes is the basis for many applications in wireless sensor networks (WSNs). However, most previous localization methods make the unrealistic assumption: (i) all nodes in WSN are always awake and (ii) the radio range of nodes is an ideal circle. This overlooks the common scenario that sensor nodes are duty-cycled to save energy and the radio range of nodes is irregular. In...
Localization problem in wireless sensor networks (WSNs) has been widely studied recently. However, most previous work simply assume that all the nodes stay awake during the localization phase. This assumption clearly overlooks the common scenario that sensor nodes are usually duty-cycled in order to save energy. In this paper we propose a kind of novel DV (distance vector)-based localization algorithm...
Human movement pattern can be a valuable information for rehabilitation therapy, sport medicine and elderly people monitoring, but acquisition of them through multi-cite accelerormeters would result in uncomfortable wearing and complex data processing. In this paper, method of using a single waist-fixed accelerometer to detect human movement pattern was investigated and evaluated. 10 subjects were...
This paper investigates the radio irregularity (RI) phenomenon and its impact on communication performance in wireless sensor networks (WSNs). Based on the theoretical analysis, we find that the RI phenomenon induces the asymmetric links problem. According to this discovery, we propose a novel HCT (Hop-count Correction Tree) scheme to handle this problem. HCT utilizes graph theoretical method to get...
Re-close scheme of transmission lines has been researched for many years, with the fast development of cities, more and more combined distribution lines composed of transmission line and cables are applied into electrical power network. A new smart re-close scheme of combined distribution transmission lines is put forward. The scheme comprehensively applies inferred voltage module and traveling wave...
A method to determine the norm vacuum of duplex pressure condenser based on the support vector regression (SVR) model was proposed, The norm vacuum of condenser is usually obtained from the characteristic curve given by the manufactory. But the method is only fit for the condition that both of the flow of cooling water and exhaust steam of steam turbine are maintained at designed valves. In this paper,...
In this paper, we proposed an advanced face analysis platform for large-scale consumer photos, namely PFAP. Leveraging Client/Server architecture, the platform provides users high-performance face clustering and near-real time image retrieval service. Advanced face analysis schema, two-level parallel computing architecture and analysis as a service are three key innovations in PFAP. In face analysis...
Dimensional measurement is often required in machinery manufactory industry. Vision-based gauging, as an emerging non-contact metrological instrumentation, can greatly facilitate reliable evaluations for their machinery products. In this paper, such a VGS (Vision-based Gauging System) was implemented for dimensional measurements and its industrial feasibility was verified. Both the systematic performance...
Objective: A minimum parameter set for the representation of body vital signs was extracted, in order to reduce the power consumption and improve the communication security of the data transmission in special scenarios such as battlefields and disaster fields. Methods: ECG, RESP, EEG, TEMP and Acceleration signals were investigated, and the accuracies across the different parameter sets of vital signs...
This paper first constructed a financial index system for credit assessment of listed companies, then analyzed the defects of BP neural network model and found out it is easy to fall into the defect of local optical solution. By introducing the revised connection weight value of genetic algorithms, constructed GA-BP neural network model, and selected 80 companies listed from 2004 to 2007 as training...
In this paper, depending on the interrelation of condenser's operational parameters, the factors which affect the vacuum of condenser are analyzed. And a soft-sensing model for condenser vacuum is given by using Support Vector Regression (SVR), then the model is verified and parameters are discussed based on the data of the 300MW steam turbine unit, and the prognostication precision is compared with...
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