硝酸银在水稻农杆菌转化中的作用

以籼稻、粳稻两种类型的成熟种子为外植体研究了不同浓度的AgNO3在水稻农杆菌转化中的作用。结果表明，在农杆菌转化前添加AgNO3可以提高愈伤组织诱导率，最适浓度为8～10mg／L，但对愈伤组织的分化没有明显促进作用；转化后添加低浓度的AgNO3可以减轻愈伤组织的褐化，提高抗性愈伤率和绿苗分化率，最适浓度为2-8mg／L。同时发现，无论是转化前还是转化后，添加高浓度的AgNO3对水稻愈伤组织的分化均具有毒害作用。     

利用RAPD和同工酶研究中国兜兰属种间亲缘关系

 本文选择14种10个碱基的寡核苷酸引物和7种酶系统, 应用RAPD和同工酶分子标记技术分析中国兜兰属(Paphiopedilum) 种间亲缘关系, 并与陈心启和Cribb的传统分类、Cox等的ITS结果进行比较。研究结果显示, RAPD和同工酶两种手段对种间亲缘关系的划分与传统分类大致吻合, 同工酶比RAPD的结果更接近传统分类。兜兰亚属需进一步分组, 彩云兜兰、卷萼兜兰、紫纹兜兰及其变种云南虎皮应自成一个组。     

Noise and Interference in Two Way CATV

The funneling effect of noise is the main difficulty in two way CATV modification works. This paper discusses the source of noise and interference, the mechanism to form noise funneling, the regularities of distribution, the characteristics of the spectrum, etc. The purpose is to find the way of reducing funnel noise. The invading noise has the greatest effect on the upstream of two way CATV system, which mainly comes from the indoor of the users. The increase of the number of cable modem will not obviously make greater funneling noise. The cable connectors are the main source of producing and invading noise in outdoor cable network, which is a threat to the safty of the whole upstream channel.     

Model of Information Integrating in CIMS Based on the Object-oriented Method

Information integrating is the most important key to CIMS,which is the base of the function integrating and all others.Because of so many kinds,so complicated structure,so many different sources and uses that the information in CIMS has,it is necessary to build a popular Information Integrating Model. The model of information integrating in the thesis bases on the enterprise model,which is presented by ISO(International Organization for Standardization).According to the object-oriented method,the process of modeling begins with classifying the information,and then describes the definition of the attributes and the structural relation of those objects. By means of the idea of Encapsulation and Inheritance,the destination of information integrating can be arrive and the model of information integrating can be set up. The model which is based on the share information is helpful to finish the function integrating and the whole CIMS' construction. Moreover,the system which is developed following such program can be reused for many times and the developing circle of CIMS can be apparently shortened,too.     

EXPERIMENTAL RESEARCH ON VISCOELASTICITY OF HUMAN BLOOD- WITH REFERENCE TO THE EFFECT OF CELL HEMOTOCRIT

This paper describes a part of the experiments concerning the viscoelasticity of human blood, which are based upon the theories lead by the authors. The data from the experiments are compared with those in the literatures. The effect of cell hematocrit on viscoelasticity is especially discussed and a new viscoelasticity index is defined to eliminate this effect.     

A Research on the Way of EMBET in the Tracking Systems'' Accuracy-analysis During Satellite Launch

In the past, the criterion for calibration has almost invariably been the stellar oriented ballistic camera,the method is a point to point comparison on the identical coordinate system. Deficiencies is follows: The request of weather is severe(cloudless night); The period is often long; the measure equipment of high precision can't be calibrated. While EMBET methods is used in calibration, it does not need criterion and it demands only that the measure elements is larger than 3,and the trajectory and many system errors of the measure elements can be simultaneously calculated with the measure data sequences. The error models of related equipments' measure elements and the EMBET of typical equipment group are given. The EMBET method is successfully used in Accuracy-analysis of Satellite Launch.     

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.     

Two-dimensional Optimum Cutting Stock Method Based on Internet and Its Implementing Technique

Two dimensional Optimum Cutting Stock is a NP complicated problem. Each of optimum software gets the cutting results by using proximate and heuristic methods. But different optimum methods and their optimum software may not realize perfect effect according to certain data framework. Furthermore, enterprises can not buy lots of optimum software to choose the most optimized plan. Because of such problems, this paper provides a two dimensional optimum cutting stock method based on Internet and offers the real implementing technique of such method. The experiments, show that this method promotes the general optimum effect of two dimensional optimum cutting stock greatly.     

Internet Telerobotics and Its Applications

According to a new trend of telerobot control, some key techniues are researched to solve the Internet telerobotics , such as distributed intelligent computation on the Internet, human-computer interface,and Internet-robot interface etc.The current development status of the Internet telerobotics is reviewed. Based on the new directions of the network software development, the authors discuss that the middleware technique CORBA plays an important role in solving the problems of the Internet telerobotics,and it is an effective way to use Java language to control the telerobot and improve its system performance. The application perspective of the Internet telerobotics is investigated.It is indicated that the development trend of the telerobot control is a human-centred collaboration mechanism of mutual reinforce and coordination in human-machine intelligent.