基于柔性参数化功构单元模型的产品定制设计

根据产品功能结构映射关系,在面向功能需求的产品分解过程中,通过功能-行为-结构(FBS)的多次迭代,建立产品的功构单元模型,利用产品功构单元模型和客户需求之间的映射关系,建立能用虚拟参数单元形式表示的功构单元模型结构树。通过数据的输入实现产品的定制设计,满足大批量定制中客户的多样化、个性化需求。

面向配置设计的产品功构建模方法

针对产品配置设计过程中存在的客户和设计者之间交互语义一致性以及功能域与结构域之间映射等问题,鉴于事物特性表技术,通过规定产品信息的数据格式使产品数据能在不同系统之间进行交流,提出了基于事物特性表的产品需求信息元方法,构造了面向配置设计的功构模型;着重探讨了模型的优化算法及基于功构模型的产品配置设计流程;最后给出了面向配置设计的产品功构建模应用实例·

Virtual Plant Modeling Based on Mutual Feedback of Function-structure

[Objective] To study virtual plant modeling based on mutual feedback of function-structure.[Method] With the analysis of the shortcomings of current virtual plant modeling method,the modeling with the idea of function-structure mutual feedback was put forward,and the steps of this modeling were elaborated,including the determination of morphological structure model,biomass production model,biomass allocation model,organ reconstruction model,and the integration method of function model and morphological structure model.[Results] The breakthrough of function-structure mutual feedback based mechanism from the boundaries of physiological ecology model and morphological structure model can solve the difficulty of data transmission between the two models and build an integrated model from the two,which can effectively reflect the incidence relation between plant morphology and function,and more suitable for the growth mechanisms of plants.This modeling approach has significant advantages in the dynamic simulation of plant growth.[Conclusion] The virtual plant modeling based on function-structure mutual feedback provides basis for the simulation of plant growth status in the next stage,and has important significance for the accurate simulation of the dynamic growth process of plant.

A Numerical Verification of Self-Similar Multiplicative Theory for Small-Scale Atmospheric Turbulent Convection

The self-similar multiplicative theory(SSM theory), aims to interpret the scaling behavior of the temperature structure function. In the present paper, the author report results from a numerical simulation of atmospheric turbulent convection in order to verify this theory. The simulation was based on a shell model which was deduced from simplified atmospheric convection equations. The numerical results agreed well with the theory prediction of scaling law from the first order to the eighth order. They also showed that the prediction of this theory was better than that given by the Kolmogorov's theory in 1941, log-normal, and β model theories.

A data structure and function classification based method to evaluate clustering models for gene expression data

Objective:To establish a systematic framework for selecting the best clustering algorithm and provide an evaluation method for clustering analyses of gene expression data. Methods: Based on data structure (internal information) and function classification (external information), the evaluation of gene expression data analyses were carried out by using 2 approaches. Firstly, to assess the predictive power of clusteringalgorithms, Entropy was introduced to measure the consistency between the clustering results from different algorithms and the known and validated functional classifications. Secondly, a modified method of figure of merit (adjust-FOM) was used as internal assessment method. In this method, one clustering algorithm was used to analyze all data but one experimental condition, the remaining condition was used to assess the predictive power of the resulting clusters. This method was applied on 3 gene expression data sets (2 from the Lyer's Serum Data Sets, and 1 from the Ferea's Saccharomyces Cerevisiae Data Set). Results: A method based on entropy and figure of merit (FOM) was proposed to explore the results of the 3 data sets obtained by 6 different algorithms, SOM and Fuzzy clustering methods were confirmed to possess the highest ability to cluster. Conclusion: A method based on entropy is firstly brought forward to evaluate clustering analyses.Different results are attained in evaluating same data set due to different function classification. According to the curves of adjust_FOM and Entropy_FOM, SOM and Fuzzy clustering methods show the highest ability to cluster on the 3 data sets.

Multilevel Power Modeling of Base Station and Its ICs

A new power estimation method is proposed for base station(BS) in this paper.Based on this method,a software platform for power estimation is developed.The proposed method models power consumption on different abstraction levels by splitting a typical base station into several basic components at different levels in the view of embedded system design.In particular,our focus is on baseband IC(Integrate Circuit) due to it's the dominant power consumer in small cells.Baseband power model is based on arithmetic computing costs of selected algorithms.All computing and storage costs are calibrated using algorithm complexity,hardware architecture,activity ratio,silicon technology,and overheads on all hierarchies.Micro architecture and IC technology are considered.The model enables power comparison of different types of base stations configured with different baseband algorithms,micro architectures,and ICs.The model also supports cellular operators in power estimation of different deployment strategies and transmission schemes.The model is verified by comparing power consumption with a real LTE base station.By exposing more configuration freedoms,the platform can be used for power estimation of current and future base stations.

Heterogeneous Quality of Experience Guarantees Over Wireless Networks

Quality of experience(Qo E), which is very critical for the experience of users in wireless networks, has been extensively studied. However, due to different human perceptions, quantifying the effective capacity of wireless network subject to diverse Qo E is very difficult, which leads to many new challenges regarding Qo E guarantees in wireless networks. In this paper, we formulate the Qo E guarantees model for cellular wireless networks. Based on the model, we convert the effective capacity maximization problem into the equivalent convex optimization problem. Then, we develop the optimal Qo E-driven power allocation scheme, which can maximize the effective capacity. The obtained simulation results verified our proposed power allocation scheme, showing that the effective capacity can be significantly increased compared with that of traditional Qo E guarantees based schemes.

On the ways of cultivating the creativity of talents

The creative talents are of constructive significance to the development of the country. Starting from the early exploration and the scientific definition of the creativity of the talents, this article summarizes the research achievements of the creativity of talents in China from three aspects of the determination of the nature and the research of the structural model, the research of the relationship between creativity and other factors, and the development and research of the cross cultural creativity. And from the perspective of the theory and the practice, the author puts forward the ways to cultivate the creativity of the talents from the five dimensions of optimizing the development of the brain functions, improving the abilities of the thinking, judgment and control, debugging the emotional stability and the creative personality, striving to improve the teachers＇ creativity, and drawing lessons from the practical experience of training innovative talents in western countries.

Excess Heat Power Registration in Experiments with High Voltage Electric Discharge Systems

The author review results on LENR （low-energy nuclear reaction） processes in the cathodes of a high current glow discharge and a HVEC （high-voltage electrolysis cell）. The cathodes used in the experiments were made of Ni foil, Pd foil, Pd coated Re and solid-state nanostructured Pd. Up to 300 W of excess heat power, with a power gain up to 340%, was observed in experiments using a high-voltage electrolysis cell. Based on these experimental results, we propose a phenomenological model for LENR.

On the ways of cultivating the creativity of talents

The creative talents are of constructive significance to the development of the country. Starting from the early exploration and the scientific definition of the creativity of the talents, this article summarizes the research achievements of the creativity of talents in China from three aspects of the determination of the nature and the research of the structural model, the research of the relationship between creativity and other factors, and the development and research of the cross cultural creativity. And from the perspective of the theory and the practice, the author puts forward the ways to cultivate the creativity of the talents from the five dimensions of optimizing the development of the brain functions, improving the abilities of the thinking, judgment and control, debugging the emotional stability and the creative personality, striving to improve the teachers＇ creativity, and drawing lessons from the practical experience of training innovative talents in western countries.