Harbin University of Science and Technology

www.hrbust.edu.cn
Harbin, China

Harbin University of Science and Technology is a university in Harbin, China. Previously known as Harbin University of Science . It is colloquially known as Hakeda , as opposed to Hagongda, which is Harbin Institute of Technology. Wikipedia.

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Wang L.,Harbin Engineering University | Sheng Y.,Harbin University of Science and Technology
Electronics Letters | Year: 2017

It has been demonstrated that the bilateral filter can be computed using a series of fast convolutions by approximating its Gaussian range kernel using trigonometric functions. A novel approximation that can be applied to any range kernel is proposed. Specifically speaking, an exponential sum is exploited to approximate the range kernel of the bilateral filter, where the coefficients of the exponential basis are computed by solving a set of linear equations. The major advantage of the method is that the tradeoff between the run-time and the filtering accuracy can be controlled by the cardinality of the exponential basis. Experiments show that the method achieves state-of-the-art results in terms of accuracy and speed. © 2017 The Institution of Engineering and Technology.


Yu Z.-G.,Harbin University of Science and Technology | Yu Z.-G.,University of Nebraska - Lincoln | Lai R.Y.,University of Nebraska - Lincoln
Analytical Chemistry | Year: 2013

Here we report the effect of the signaling probe conformation on sensor performance of a "signal-on" folding-based electrochemical DNA sensor. The sensor is comprised of a methylene blue (MB)-modified signaling probe and an unlabeled capture probe that partially hybridize to each other at the distal end. In presence of the full-complement target which binds to the unlabeled capture probe, the labeled signaling probe is released. Two different signaling probes were used in this study, in which one is capable of assuming a stem-loop conformation (SLP-MB), whereas the other probe adopts a flexible linear conformation (LP-MB). In the presence of the full complement target DNA, both sensors showed a large increase in MB current when interrogated using alternating current (ac) voltammetry, verifying the release of the signaling probe. Overall, the SLP-MB sensor showed higher % signal enhancement; the LP-MB sensor, however, showed distinctly faster binding kinetics when interrogated under the same experimental conditions. The SLP-MB sensor displayed a wider usable ac frequency range when compared to the LP-MB sensor. Despite these differences, the detection limit and dynamic range were found to be similar among the two sensors. In addition to 6-mercapto-1-hexanol, longer chain hydroxyl-terminated alkanethiols were used to construct these sensors. Our results showed that sensors fabricated with longer chain diluents, independent of the sensor architecture, were not only functional, the signaling capability was significantly enhanced. © 2013 American Chemical Society.


Yu Z.-G.,Harbin University of Science and Technology | Yu Z.-G.,University of Nebraska - Lincoln | Lai R.Y.,University of Nebraska - Lincoln
Chemical Communications | Year: 2012

We report a reagentless and reusable electrochemical DNA sensor that exploits competitive binding and target hybridization-induced change in the signalling probe conformation for robust detection of a target DNA sequence. © 2012 The Royal Society of Chemistry.


Sun J.,Harbin University of Science and Technology
Neurocomputing | Year: 2012

In this paper, a neural classifier based on the newly developed local coupled feedforward neural network, which may improve the convergence of BP learning significantly, is developed. A binary threshold unit is used as the output node of the classifier. A general error gradient of the output node is defined for the BP training of the classifier. And a hidden node selection scheme is developed for the local coupled feedforward neural network. In addition, we derive a result on the "universal approximation" property of the local coupled feedforward neural network with an arbitrary group of window functions, which can cover the region of training samples. Simulation results show that the general error gradient and the hidden node selection scheme work well. © 2011 Elsevier B.V.


Ying X.,Harbin University of Science and Technology
IEEE Transactions on Magnetics | Year: 2010

In this paper, the influences of broken bars located at different relative positions in an induction motor are presented. In this investigation, a finite-element model of the squirrel-cage induction motor is developed. Both thermal and electromagnetic analysis of the induction motor operating in conditions of healthy and broken bars fault are carried out, and operating performance and thermal fields with two broken rotor bars located at different relative positions are studied. The accuracy of simulation is verified by experimental results derived from a prototype. From the results, some valuable ideas can be proposed to the broken bars' fault diagnosis. © 2010 IEEE.


Gao C.-Y.,Harbin University of Science and Technology | Peng D.-H.,Harbin University of Science and Technology
Knowledge-Based Systems | Year: 2011

SWOT analysis is an important support tool for decision-making, and is commonly used to systematically analyze organizations' internal and external environments. However, one of its deficiencies is in the measurement and evaluation of prioritization of the factors and strategies. This paper is aimed to present a novel quantified SWOT analytical method based multiple criteria group decision-making (MCGDM) concept, in which the priorities of SWOT factors and groups are derived by multiple decision makers (DMs) with nonhomogeneous uncertain preference information (NUPI), such as interval multiplicative preference relations, interval fuzzy preference relations, and uncertain linguistic preference relations. In this method, the SWOT analysis provides a basic frame within which to perform analyses of decision situations, in turn, MCGDM methods assist in carrying out SWOT more analytically and in elaborating the results of the analyses so that SWOT factors and groups can be prioritized with respect to the entire SWOT. The uniform and aggregation of the NUPI and the derivation of priorities for SWOT groups and factors are investigated in detail. Finally, an example is to validate the procedure of the proposed method. © 2011 Elsevier B.V. All rights reserved.


Sun J.,Harbin University of Science and Technology
Neural Networks | Year: 2010

In this paper, a new neural belief network, which has considered backward inferences and the influence of the belief sources on belief propagations, is developed. In this new neural network, a link record set is built for every conclusion node for handling the multiple conditions of inference rules, and a route record set is built for every active node and every active link for handling the dependency of belief propagations on the belief sources. In addition, a temporary node is added for every evidence node. The assignment of the temporary nodes releases the evidence nodes from the role as belief sources and allows belief propagations in them. As a result, the new neural belief network can handle both definite evidences and indefinite evidences, and the evidences may come from observations or the prior knowledge of experts. The inference processes of the new neural belief network are based on available evidences and if...then rules. Therefore, it can solve the problems of Bayesian networks caused by the prior knowledge reliance and may be an alternative technique to the popular Bayesian networks. © 2009 Elsevier Ltd. All rights reserved.


Sun J.,Harbin University of Science and Technology
Neural Networks | Year: 2010

In this paper, the local coupled feedforward neural network is presented. Its connection structure is same as that of Multilayer Perceptron with one hidden layer. In the local coupled feedforward neural network, each hidden node is assigned an address in an input space, and each input activates only the hidden nodes near it. For each input, only the activated hidden nodes take part in forward and backward propagation processes. Theoretical analysis and simulation results show that this neural network owns the "universal approximation" property and can solve the learning problem of feedforward neural networks. In addition, its characteristic of local coupling makes knowledge accumulation possible. © 2009 Elsevier Ltd. All rights reserved.


Yongmei J.,Harbin University of Science and Technology
Advances in Information Sciences and Service Sciences | Year: 2012

As the connection of micro-electronics and powerful engineering equipment, Electro-Hydraulic proportional controller has been important part of integration of mechanics and electrics. It's the core of Electro-Hydraulic proportional controller system and has a tremendous impact on it. The prevalence of domestic proportional controller poor reliability, short life and other issues, therefore, this paper developed a new type of electro-hydraulic proportion controller with a graphics user interface based on Qt. After experiment, it shows the controller has some advantages as follows, low power consumption, high repeatability precision and low temperature drift. And the graphics user interface is friendly with stable performance.


Wen G.,Harbin University of Science and Technology
Journal of Physical Chemistry B | Year: 2010

Our recent work showed there existed a composition window for mixed Langmuir monolayers of homopolystyrene (h-PS) and a symmetric diblock copolymer polystyrene-block-poly(2-vinylpyridine) (PS-b-P2VP) to form necklace-network structures at the air/water interface. In order to study further the possible mechanism and control the network structure (i.e., surface coverage and nanoaggregate diameter), effects of spreading solution concentration and volume, subphase temperature, and transfer pressure on the network structure were studied by the Langmuir monolayer technique and tapping mode atomic force microscopy. With the increase of transfer pressure, there existed a novel nonlinear behavior for the nanoaggregate diameter first to increase, then to decrease, and finally to increase again, while the surface coverage tended to increase step by step. Moreover, with the elevation of temperature, chain motion between the adjoining nanoaggregates tended to be improved and thus the nanoaggregate diameter tended to be more uniform. © 2010 American Chemical Society.

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