A fuzzy neural network model for predicting clothing thermal comfort

This paper presents a Fuzzy Neural Network (FNN) based local to overall thermal sensation model for prediction of clothing thermal function in functional textile design system. Unlike previous experimental and regression analysis approaches, this model depends on direct factors of human thermal response — body core and skin temperatures. First the local sensation is predicted by a FNN network using local body part skin temperatures, their change rates, and core temperature as inputs; then the overall sensation is predicted. This is also performed by a FNN network. The FNN networks are developed on the basis of the Feed-Forward Back-Propagation (FFBP) network; the advantage of using fuzzy logic here is to reduce the requirement of training data. The simulation result shows a good correlation between predicted and the traditional experimental data.     

HTRDP evaluations on Chinese information processing and intelligent human-machine interface

From 1991 to 2005, China’s High Technology Research and Development Program (HTRDP) sponsored a series of technology evaluations on Chinese information processing and intelligent human-machine interface, which is called HTRDP evaluations, or “863” evaluations in brief. This paper introduces the HTRDP evaluations in detail. The general information of the HTRDP evaluation is presented first, including the history, the concerned technology categories, the organizer, the participants, and the procedure, etc. Then the evaluations on each technology are described in detail respectively, covering Chinese word segmentation, machine translation, acoustic speech recognition, text to speech, text summarization, text categorization, information retrieval, character recognition, and face detection and recognition. For the evaluations on each technology categories, the history, the evaluation tasks, the data, the evaluation method, etc., are given. The last section concludes the paper and discusses possible future work.     

Constrained multi-variable generalized predictive control using a dual neural network

Multi-variable generalized predictive control algorithm has obtained great success in process industries. However, it suffers from a high computational cost because the multi-stage optimization approach in the algorithm is time-consuming when constraints of the control system are considered. In this paper, a dual neural network is employed to deal with the multi-stage optimization problem, and bounded constraints on the input and output signals of the control system are taken into account. The dual neural network has many favorable features such as simple structure, rapid execution, and easy implementation. Therefore, the computation efficiency, in comparison with the consecutive executions of numerical algorithms on digital computers, is increased dramatically. In addition, the dual network model can yield the exact optimum values of future control signals while many other neural networks only obtain the approximate optimal solutions. Hence the multi-variable generalized predictive control algorithm based on the dual neural network is suitable for industrial applications with the real-time computation requirement. Simulation examples are given to demonstrate the efficiency of the proposed approach.     

保险经纪行业CRM系统的研究与实践

通过对保险经纪行业的业务介绍,研究了一种适用于保险经纪行业应用的客户关系管理系统的技术框架并予以实践,阐述了系统整合、数据转换、数据仓库和决策支持系统等相关技术在设计客户关系管理系统中的作用与应用方法。     

3 200 m3高炉工程大体积混凝土施工技术

在大体积混凝土施工中,为了防止混凝土出现裂缝,合理选用混凝土原材料,降低水泥水化热;并利用水冷管控制混凝土内外温差,成功地解决了大体积混凝土易出现裂缝技术难题.     

Preparation of rutile (TiO<Subscript>2</Subscript>) nanostructured materials at low temperature from TiCl<Subscript>4</Subscript> aqueous solution

The synthesis of rutile (TiO₂) nanostructured materials at low temperature from TiCl₄ aqueous solution was described. TiO₂ coatings on polystyrene (PS) particles were prepared by layer-by-layer assembly technique. The samples were characterized by DTA-TG, SEM, XPS, TEM and XRD techniques. The experimental results showed that pure rutile-TiO₂ coatings with nanocrystal structure were synthesized at 100 °C. On the surface of PS particles, sphere-type TiO₂ coatings exhibited uniform shape and a narrow size distribution. The amount of TO₂ (wt%) and shell thickness of particles increased with the adding of coating layers. Hollow TiO₂ spheres were obtained by calcination at 450 °C. TiO₂/PS with 2 coating layers showed higher degradation rate. The photocatalytic activity of hollow TiO₂ spheres was higher than that of TiO₂/PS.     

Transmission spectrum method to measure the photonic bandgap of hollow-core photonic crystal fiber

Photonic crystal fiber (PCF) is also known as microstruc- ture fiber (MSF). PCF typically consists of fused silica with an arrangement of periodic wavelength-scale air-holes run- ning along the full length of the fiber. PCF supports two guid- ance mechani…     

基于小波的多路信号估计方法

从带噪信号中估计源信号在很多应用领域都是重要课题,例如通信、医学成像、远程图像以及天文学等等。估计多路信号是其中的一个小子集。本文阐述了最近提出的基于小波的多路二维信号估计方法。这种方法通过离散傅立叶变换(DFT)和二维离散小波变换(DWT)近似最佳地使数据解相关,从而充分地利用了信道内和信道间信号的相关性。同时,运用Normal Shrink降噪算法改进估计结果。     

Transient Charging and Discharging Behaviors of Border Traps in the Dual-Layer HfO2/SiO2 High- κ Gate Stack Observed by Using Low-Frequency Charge Pumping Method

Transient charging and discharging of border traps in the dual-layer HfO₂/SiO₂ high-kappa gate stack have been extensively studied by the low-frequency charge pumping method with various input pulse waveforms. It has been demonstrated that the exchange of charge carriers mainly occurs through the direct tunneling between the Si conduction band states and border traps in the HfO₂ high-kappa dielectric within the transient charging and discharging stages in one pulse cycle. Moreover, the transient charging and discharging behaviors could be observed in the time scale of 10^-8- 10^-4 s and well described by the charge trapping/detrapping model with dispersive capture/emission time constants used in static positive bias stress. Finally, the frequency and voltage dependencies of the border trap area density could also be transformed into the spatial and energetic distribution of border traps as a smoothed 3-D mesh profiling