东北刺人参种胚形态后熟过程中的解剖观察

通过对东北刺人参(Oplopanax elatus Nakai)种子后熟期间胚形态的解剖观察发现:东北刺人参果实成熟时种胚尚未分化完全,处于心形胚阶段,这是种子休眠的主要原因。种子在暖温处理过程中逐渐完成种胚的分化与生长,种子胚分化和发育的速度不一致,从而导致种子休眠程度不一致。     

Experimental Investigation on Chip-break Influenced by Cryogenical Cold Air jet

In machine cutting, the replacement of traditionalKGcutting solution with cryogenical cold air jet not only possesses a good cooling and lubricating efficiency, but also can avoid the occurrenceof environmental pollution. In order to clarify the manner and performance of discharged cutting chip under cryogenical cold air jet condition, an experiment was carried out for steel grade 45 in the dry and cryogenical cold air jet cutting comparatively. The effects of cryogenical cold air jet on the breaking of cutting chip are discussed. Experimental results reveal that, in the valid ranges of pressure and temperature, the cryogenical cold air jet can widen the chip broken region effectively. Different insufflating angle of cold air behaves different influence on the chip-break. From the experiment, it has been gained that the optimized jet insufflatingangle, temperature effecting range and pressure working range of cold air, which provides the foundation of industrial manufacturing.     

地下热水的来源与补给机制分析——以重庆北温泉为例

地下热水的来源研究对地下热水资源量评价和可持续开发利用有重要意义。选取重庆市北温泉作为研究对象,采用水化学分析、D、O同位素以及实时在线监测对其热水来源进行了研究。研究认为：重庆市北温泉泉水为中-低温浅层中性地热水,水化学类型为SO4-Ca型,地下热水的δ 18O值为-8.48‰～-7.09‰,δD值为-55.46‰～-53.26‰,其补给来源为雨水,补给高程为海拔641～1 206 m的岩溶出露区。安装马歇尔槽和CDTP300高分辨率实时在线监测发现：1)地下热水水文地球化学特征在长时间内稳定,体现了稳定的水-岩作用过程;2)北温泉的流量与研究区降雨量呈现出以半年为单位的滞后,雨季偏低,旱季偏高;当场降雨后20 d左右,温泉水的水温和电导率微降,水量增加。地下热水的来源为大气降水,其补给除了长时间长距离的含水层稳定补给外,热水上升过程中受地表水和浅层地下水的补给。     

Knowledge Representation for Rotative Machine Fault Diagnosis Based on Semantic Net

Aiming at knowledge representation problem of expert system for rotary machinery fault diagnosis, semantic net knowledge representation is discussed. Semantic net to represent expert knowledge of rotary machinery fault diagnosis is explored. Its realizing method is afforded in computer language, in addition, demostrating model is also developed in Visual C++. The result shows good validity of the knowledge representation.     

Feasibility for Building the Under-ground Sewage Treatment Plant in Chongqing City

With the development of the economy, the demand forhabitation is enhanced and the sewage and industrial waster water must be disposed before outlet. Today, most of the sewage treatment plants are built on the aboveground without discussing the underground. Therefore, by the comparative analysis of the property and cost of the underground sewage treatment plant and the ground, the underground sewage treatment plant have merits in save the city land and improvement environment.The Chongqing citypossess a lot of advantages in using the space of underground with the analysis of the physiognomy and geology condition of the Chongqing city. Therefore, the development of underground sewage treatment plant is feasible in the Chongqing city.     

Study of IP over WDM System Structure

WDM technology is the basis of optical network implementation. Due to eliminating SONET/SDH and ATM elements, and allowing direct connection with IP routers, IP over WDM can reduce network cost and simplify network expansion . In this thesis, the structure and protocol layers of IP over WDM are firstly explained. Then the procedures of this network are described briefly. At last, the problems and future of IP over WDM are analyzed     

Lighting Design of Chinese Traditional Buildings and Application of New Type of Little Power LED

This paper is a part of the research on the lighting techniques of the traditional Chinese buildings in Summer Palace,Beijing,which is a sub-project of the Municipal Research Project on the Correlative Techniques for Beijing's Sustainable Development(Y0604017040391).The work,which the authors took part in,on the most representative Chinese traditional buildings in Summer Palace,is taken as a case study on lighting design and lab simulated experiments and checked by practical result,illustrating a working frame for other similar lighting design works.     

An EOQ Model at Random when Average Demand Is a Linear Increasing Function

For certain types of inventory, the ordering cycle and demand may be random variants, which satisfy certain types distribution. The classical EOQ model usually neglects the fact. Based on the constant demand, under the hypothesis that the ordering cycle is a random variant which satisfies exponent distribution, average demand is a linear increasing function, this paper considers the effects of the time-value of capital and inflation on replenishment strategy of inventory system. Loosening the condition of basic economic order quantity model under deterministic state, the total cost function of the model is provided. The optimum order quantity and cycle are obtained. The application range of EOQ model under the constant demand is widened. The theoretical evidence is provided for the inventory system to make management decision.     

Automatic Fingerprint Classification by GA-Based Neural Network

Fingerprint classification can provide an important indexing mechanism in a fingerprint database. An accurate and consistent classification can greatly reduce fingerprint matching time for large database. In the paper, by combining genetic algorithm and neural network is presented a fingerprint classification algorithm which is able to achieve an accurate classification. By inputting the global feature represented by directional image to three layer neural network trained by genetic algorithm, the fingerprints were classified into six categories: whorl, right loop, left loop, arch, double loop and undiscerning type successfully.     

Learning the BN Structure Based on the Sum of Mutual Information

The Crossing Entropy is defined to scale the similar level of two probability distribution. In many papers on learning BN structure,the Crossing Entropy was used as an indicator of measuring the learning accuracy of an algorithm.The known scoring metrics for learning BN structure is analyzed in this paper,then a new scoring metrics Sum of Mutual Information is proposed based on the information theory.At last,two algorithm for learning BN structure by SIM is represented.