Showing papers by "University of Electronic Science and Technology of China published in 2006"
TL;DR: A new distributed energy-efficient clustering scheme for heterogeneous wireless sensor networks, which is called DEEC, is proposed and evaluated, which achieves longer lifetime and more effective messages than current important clustering protocols in heterogeneous environments.
1,131 citations
TL;DR: The characterization of novel targeted ultrasonic contrast agents or microbubbles and their potential applications in drug delivery or gene therapy are reviewed.
304 citations
TL;DR: The results show that the proposed MLP-based decision support system can achieve very high diagnosis accuracy (>90%) and comparably small intervals (<5%), proving its usefulness in support of clinic decision process of heart diseases.
Abstract: The medical diagnosis by nature is a complex and fuzzy cognitive process, and soft computing methods, such as neural networks, have shown great potential to be applied in the development of medical decision support systems (MDSS). In this paper, a multiplayer perceptron-based decision support system is developed to support the diagnosis of heart diseases. The input layer of the system includes 40 input variables, categorized into four groups and then encoded using the proposed coding schemes. The number of nodes in the hidden layer is determined through a cascade learning process. Each of the 5 nodes in the output layer corresponds to one heart disease of interest. In the system, the missing data of a patient are handled using the substituting mean method. Furthermore, an improved back propagation algorithm is used to train the system. A total of 352 medical records collected from the patients suffering from five heart diseases have been used to train and test the system. In particular, three assessment methods, cross validation, holdout and bootstrapping, are applied to assess the generalization of the system. The results show that the proposed MLP-based decision support system can achieve very high diagnosis accuracy (>90%) and comparably small intervals (<5%), proving its usefulness in support of clinic decision process of heart diseases.
288 citations
TL;DR: In this paper, a template-free thermal evaporation method was proposed for the growth of aligned ultralong ZnO nanobelts, yielding an average length of 3.3 mm and widths up to 6 lm.
Abstract: One-dimensional (1D) semiconducting nanoscale materials have attracted considerable attention because of their importance in understanding the fundamental properties of low dimensionality in materials as well as in nanodevice applications. Many methods, including vapor–liquid–solid (VLS), vapor–solid (VS), and solution-based, have been developed to synthesize 1D semiconducting nanoscale materials such as nanoscale wires, belts, rods, tubes, and needles. Usually, these methods require templates/catalysts and tedious operational procedures. Here, we demonstrate a new strategy for the growth of aligned ultralong ZnO nanobelts, yielding an average length of 3.3 mm and widths up to 6 lm, on metal substrates in a one-step process via molten-salt-assisted template-free thermal evaporation. These ultralong nanobelts show enhanced field emission. The electric field for an emission current density of 1 mA cm is 2.9 V lm, the lowest value ever reported for pure 1D ZnO nanostructures grown on flat surfaces, corresponding to a field-enhancement factor of about 1.4 × 10. This approach is simple, efficient, and inexpensive, which significantly facilitates device fabrication. By combining a general molten-salt process, which is usually used to prepare micrometer-scale ceramic powders (although it was also used for the synthesis of ZnO nanorods in a thermal evaporation process), we have designed a new approach, molten-salt-assisted thermal evaporation, and we demonstrate that this approach can produce aligned ultralong ZnO nanobelts over a large area. The key point of this new approach is the evaporation of Zn metal powder in a liquid environment of molten sodium chloride (NaCl) salt. A side-view camera photograph of the as-grown ZnO nanobelts on the Au substrate is shown in Figure 1a, indicating that the nanobelts can grow to several millimeters in length. Figure 1b shows a top-view optical microscopy photograph, demonstrating that the ZnO nanobelts are also transparent under an optical microscope. A higher-magnification optical microscopy image of the side-view is shown in Figure 1c, indicating nominal, though imperfect, alignment. Figure 2 shows field-emission scanning electron microscopy (SEM) images of the as-grown ZnO nanobelts under different magnifications. The low-magnification image shown in FigC O M M U N IC A IO N
280 citations
TL;DR: This paper proposes a new method to determine the membership function of the estimates of the parameters and the reliability function of multi-parameter lifetime distributions, and shows the effectiveness of this method with normal and Weibull distributions.
223 citations
TL;DR: Li et al. as mentioned in this paper found that CEO turnover is significantly and inversely related to firm performance, and that turnover-performance link is stronger when the percentage of company shares owned by the largest shareholders is larger.
201 citations
TL;DR: A modified real genetic algorithm for the synthesis of sparse linear arrays to optimize the element positions to reduce the peak sidelobe level (PSLL) of the array and the simulated results confirming the great efficiency and the robustness of this algorithm are provided.
Abstract: This paper describes a modified real genetic algorithm (MGA) for the synthesis of sparse linear arrays. The MGA has been utilized to optimize the element positions to reduce the peak sidelobe level (PSLL) of the array. And here the multiple optimization constraints include the number of elements, the aperture and the minimum element spacing. Unlike standard GA using fixed corresponding relationship between the gene variables and their coding, the MGA utilized the coding resetting of gene variables to avoid infeasible solution during the optimization process. Also, the proposed approach has reduced the size of the searching area of the GA by means of indirect description of individual. The simulated results confirming the great efficiency and the robustness of this algorithm are provided in this paper.
168 citations
TL;DR: A new fuzzy membership function is proposed to the nonlinear fuzzy support vector machine that gives good performance on reducing the effects of outliers and significantly improves the classification accuracy and generalization.
Abstract: It is known that with a proper fuzzy membership function, a fuzzy support vector machine can effectively reduce the effects of outliers when solving the classification problem. In this paper, a new fuzzy membership function is proposed to the nonlinear fuzzy support vector machine. The fuzzy membership is calculated in the feature space and is represented by kernels. This method gives good performance on reducing the effects of outliers and significantly improves the classification accuracy and generalization.
166 citations
01 Jul 2006
TL;DR: The results show that cross polarization for the case of densely packed spheres can be significant and can be merely 6 to 8 dB below copolarization and that the active 13.5-GHz backscattering coefficients still have significant sensitivity to snow thickness even for snow thickness exceeding 1 m.
Abstract: Dense media radiative transfer (DMRT) theory is used to study the multiple-scattering effects in active microwave remote sensing Simplified DMRT phase matrices are obtained in the 1-2 frame The simplified expressions facilitate solutions of the DMRT equations and comparisons with other phase matrices First-order, second-order, and full multiple-scattering solutions of the DMRT equations are obtained To solve the DMRT equation, we decompose the diffuse intensities into Fourier series in the azimuthal direction Each harmonic is solved by the eigen-quadrature approach The model is applied to the active microwave remote sensing of terrestrial snow Full multiple-scattering effects are important as the optical thickness for snow at frequencies above 10 GHz often exceed unity The results are illustrated as a function of frequency, incidence angle, and snow depth The results show that cross polarization for the case of densely packed spheres can be significant and can be merely 6 to 8 dB below copolarization The magnitudes of the cross polarization are consistent with the experimental observations The results show that the active 135-GHz backscattering coefficients still have significant sensitivity to snow thickness even for snow thickness exceeding 1 m
158 citations
TL;DR: In this article, a minimum resistivity of 6.2×10 −4 Ω cm is obtained for the film doped with 1.5 ǫmol% Al.
156 citations
TL;DR: In this paper, a hexagonal wurtzite structure and high preferential c-axis orientation of transparent conducting ZnO thin films doped with Al have been prepared by sol-gel method, which were characterized by X-ray diffraction, atomic force microscopy and ultra-violet spectrometer.
TL;DR: ZnO nanoparticles were annealed in high-purity Ar, O2, and air atmosphere and were investigated by photoluminescence (PL), X-ray diffraction (XRD), and Xray photoelectron spectroscopy (XPS).
Abstract: ZnO nanoparticles were annealed in high-purity Ar, O2, and air atmosphere and were investigated by photoluminescence (PL), X-ray diffraction (XRD), and X-ray photoelectron spectroscopy (XPS). Results show that the ZnO nanoparticles show emissions centered at ∼490, ∼515, and ∼520 nm after annealing in Ar, O2, and air atmosphere, respectively. The origin of the green emission was discussed.
TL;DR: A conformational epitope database called CED has been developed as an information resource for investigators involved in both theoretical and applied immunology research and complements other existing specialised epitope databases.
Abstract: Antigen epitopes provide valuable information useful for disease prevention, diagnosis, and treatment. Recently, more and more databases focusing on different types of epitopes have become available. Conformational epitopes are an important form of epitope formed by residues that are sequentially discontinuous but close together in three-dimensional space. These epitopes have implicit structural information, making them attractive for both theoretical and applied biomedical research. However, most existing databases focus on linear rather than conformational epitopes. We describe CED, a special database of well defined conformational epitopes. CED provides a collection of conformational epitopes and related information including the residue make up and location of the epitope, the immunological property of the epitope, the source antigen and corresponding antibody of the epitope. All entries in this database are manually curated from articles published in peer review journals. The database can be browsed or searched through a user-friendly web interface. Most epitopes in CED can also be viewed interactively in the context of their 3D structures. In addition, the entries are also hyperlinked to various databases such as Swiss-Prot, PDB, KEGG and PubMed, providing wide background information. A conformational epitope database called CED has been developed as an information resource for investigators involved in both theoretical and applied immunology research. It complements other existing specialised epitope databases. The database is freely available at http://web.kuicr.kyoto-u.ac.jp/~ced
11 Dec 2006
TL;DR: A new decision combination scheme is proposed, in which the credibility of local spectrum sensing is taken into account in the final decision at central access point and Dempster-Shafer's evidence theory is adopted to combine different sensing decisions from each cognitive user.
Abstract: Reliable detection of available spectrum is the foundation of cognitive radio technology. To improve the detection probability under sustainable false alarm rate, a distributed spectrum sensing scheme has been proposed. In this paper, we propose a new decision combination scheme, in which the credibility of local spectrum sensing is taken into account in the final decision at central access point and Dempster-Shafer?s evidence theory is adopted to combine different sensing decisions from each cognitive user. Simulation results show that significant improvement in detection probability as well as reduction in false alarm rate is achieved by our proposal.
TL;DR: It is shown in this paper that many genetic oscillators can be transformed into Lur'e form by exploiting the special structure of biological systems by using a control theory approach.
Abstract: The study of the collective dynamics of synchronization among genetic oscillators is essential for the understanding of the rhythmic phenomena of living organisms at both molecular and cellular levels. Genetic oscillators are biochemical networks, which can generally be modelled as nonlinear dynamic systems. We show in this paper that many genetic oscillators can be transformed into Lur'e form by exploiting the special structure of biological systems. By using a control theory approach, we provide a theoretical method for analysing the synchronization of coupled nonidentical genetic oscillators. Sufficient conditions for the synchronization as well as the estimation of the bound of the synchronization error are also obtained. To demonstrate the effectiveness of our theoretical results, a population of genetic oscillators based on the Goodwin model are adopted as numerical examples.
TL;DR: An asymmetric long period fiber grating with a large attenuation of −47.39dB and a low insertion loss of 0.34dB is fabricated by use of focused CO2 laser beam to carve periodic grooves on one side of the optical fiber.
Abstract: An asymmetric long period fiber grating (LPFG) with a large attenuation of −47.39dB and a low insertion loss of 0.34dB is fabricated by use of focused CO2 laser beam to carve periodic grooves on one side of the optical fiber. Such periodic grooves and the stretch-induced periodic microbends can effectively enhance the refractive index modulation and increase the average strain sensitivity of the resonant wavelength of the LPFG to −102.89nm∕me. The resonant wavelength and the peak attenuation of the LPFG can be tuned by ∼12nm and ∼20dB, respectively, by the application of a stretching force.
TL;DR: This work integrated SVMs, protein sequence amino acid composition, and associated physicochemical properties into the study of nucleic-acid-binding proteins prediction and developed the binary classifications for rRNA-, RNA-, DNA- binding proteins that play an important role in the control of many cell processes.
TL;DR: A random chain scission model was established and used to determine the activation energy E a, and FT-IR, 1 H and 13 C NMR were used to elucidate the degradation behavior under different atmospheres as mentioned in this paper.
TL;DR: The use of ultrasound for nonviral gene delivery has been applied for mammalian systems, which provides a fundamental basis and strong promise for development of new gene therapy methods for clinical medicine.
TL;DR: In this article, the authors report on the fabrication and characterization of ultraviolet photodetectors based on ZnO:Al thin films, having a metal-semiconductor-metal (MSM) structure with interdigital (IDT) configuration.
TL;DR: In this paper, the Kramers-Kronig relationship was used to determine the optical parameters of ZnO:Al thin films in wavelengths with a range of 300-600 nm.
Abstract: ZnO:Al thin films doped with different aluminum concentration were deposited on (0001) sapphire substrates by sol-gel technique. Kramers-Kronig relationship was used to determine the optical parameters of ZnO:Al thin films in wavelengths with a range of 300-600 nm. Calculated results show that all optical parameters keep constant in the visible region. The refractive index, the extinction coefficient and the real and imaginary components of dielectric are similar to 1.6, similar to 0.08, similar to 2.5, and similar to 0.27, respectively. Optical constants change distinctly near the optical absorption edge. In the ultraviolet region, doping concentration strongly affects the optical parameters of ZnO:Al thin films. Optical parameters tend to decrease with increasing doping concentration. (c) 2006 Elsevier B.V. All rights reserved.
TL;DR: A web-based tool called MIMOX has been developed for phage display based epitope mapping and can reproduce mappings from existing tools such as FINDMAP and 3DEX, as well as providing novel, rational results.
Abstract: Phage display is widely used in basic research such as the exploration of protein-protein interaction sites and networks, and applied research such as the development of new drugs, vaccines, and diagnostics. It has also become a promising method for epitope mapping. Research on new algorithms that assist and automate phage display based epitope mapping has attracted many groups. Most of the existing tools have not been implemented as an online service until now however, making it less convenient for the community to access, utilize, and evaluate them. We present MIMOX, a free web tool that helps to map the native epitope of an antibody based on one or more user supplied mimotopes and the antigen structure. MIMOX was coded in Perl using modules from the Bioperl project. It has two sections. In the first section, MIMOX provides a simple interface for ClustalW to align a set of mimotopes. It also provides a simple statistical method to derive the consensus sequence and embeds JalView as a Java applet to view and manage the alignment. In the second section, MIMOX can map a single mimotope or a consensus sequence of a set of mimotopes, on to the corresponding antigen structure and search for all of the clusters of residues that could represent the native epitope. NACCESS is used to evaluate the surface accessibility of the candidate clusters; and Jmol is embedded to view them interactively in their 3D context. Initial case studies show that MIMOX can reproduce mappings from existing tools such as FINDMAP and 3DEX, as well as providing novel, rational results. A web-based tool called MIMOX has been developed for phage display based epitope mapping. As a publicly available online service in this area, it is convenient for the community to access, utilize, and evaluate, complementing other existing programs. MIMOX is freely available at http://web.kuicr.kyoto-u.ac.jp/~hjian/mimox
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TL;DR: Experimental results suggest that the developed model performs with a good predictive ability in analyzing the electrical performance in the three-dimensional high density microwave packaging structure.
Abstract: In this letter, the support vector machine (SVM) regression approach is introduced to model the three-dimensional (3-D) high density microwave packaging structure. The SVM is based on the structural risk minimization principle, which leads to a good generalization ability. With a 3-D vertical interconnect used as an example, the SVM regression model is electromagnetically developed with a set of training data and testing data, which is produced by the electromagnetic simulation. Experimental results suggest that the developed model performs with a good predictive ability in analyzing the electrical performance
TL;DR: In this paper, the authors review previous literature on productivity spillovers of foreign direct investment (FDI) in China and conduct their own analysis using a firm-level data set from a World Bank survey, finding that the evidence of FDI spillovers on the productivity of Chinese domestic firms is mixed.
Abstract: We review previous literature on productivity spillovers of foreign direct investment (FDI) in China and conduct our own analysis using a firm-level data set from a World Bank survey. We find that the evidence of FDI spillovers on the productivity of Chinese domestic firms is mixed, with many positive results largely due to aggregation bias or failure to control for endogeneity of FDI. Attempting over 6000 specifications that take into account forward and backward linkages, we fail to find evidence of systematic positive productivity spillovers from FDI in China.
TL;DR: Both delay-independent and delay-dependent results are presented, and the theoretical results are given in terms of linear matrix inequalities (LMIs).
Abstract: Takagi-Sugeno (T-S) fuzzy model provides an effective representation of complex nonlinear systems in terms of fuzzy sets and fuzzy reasoning applied to a set of linear input/output submodels. Recently, a number of authors studied the T-S fuzzy systems with time delays. In this paper, the passivity and feedback passification of T-S fuzzy systems with time delays are considered. Both delay-independent and delay-dependent results are presented, and the theoretical results are given in terms of linear matrix inequalities (LMIs). Numerical examples are given which illustrate the effectiveness of the theoretical results.
TL;DR: A fuzzy interactive multi-objective optimization model is developed based on Pareto solutions, where the metric function and some additional constraints are added to ensure the collaboration among design objectives.
TL;DR: In this paper, the authors investigated the asymptotic behavior of tail probabilities of randomly weighted sums of independent heavy-tailed random variables, where the weights form another sequence of nonnegative and arbitrarily dependent random variables.
Abstract: This paper investigates the asymptotic behavior of tail probabilities of randomly weighted sums of independent heavy-tailed random variables, where the weights form another sequence of nonnegative and arbitrarily dependent random variables. The results obtained are further applied to derive asymptotic estimates for the ruin probabilities in a discrete time risk model with dependent stochastic returns.
TL;DR: In this article, the stability of stochastic delayed cellular neural networks is studied via the Lyapunov function method and some analysis techniques, and some new criteria of exponential 1-stability and mean square exponential stability are obtained.
Abstract: In this paper, the stability of stochastic delayed cellular neural networks are studied. Via the Lyapunov function method and some analysis techniques, we obtain some new criteria of exponential 1-stability and mean square exponential stability.
01 Oct 2006
TL;DR: This paper gives a simple detection structure of random access preambles of CAZAC sequences good periodic correlation, and results indicate that the proposed detector performs as well as detectors that other companies provided, but has simpler structure.
Abstract: Constant amplitude zero autocorrelation (CAZAC) sequence, which is one type of polyphase codes, has many applications in channel estimation and time synchronization, since it has good periodic correlation properties. Now it is also introduced to long-term evolution (LTE) of 3rd Generation Partnership Project (3GPP) random access procedure as preamble signature. Based on the introduction of CAZAC sequences good periodic correlation, this paper gives a simple detection structure of random access preambles. Simulation results indicate that the proposed detector performs as well as detectors that other companies provided, but has simpler structure
TL;DR: The best-fit rectangle approach is a combination of the Ferret method and the least 2nd moments minimization, only requiring calculation of three moments about the center of gravity, and maximum and minimum co-ordinates in a co-ordinate system oriented in the direction of the axis of the least second moments, and a simple area ratio as discussed by the authors.