坚持管理与科技两个轮子齐驱动

大乘资氮集团有限公司狠抓管理和科技，使企业由经营型向效益型转变，同时加速了企业经济增长方式的转变。     

生物包粒的分类与命名——兼论徐州大北望中下寒武统生物包粒特征

对于碳酸盐岩中由生物及生物化学作用形成的具有同心或放射结构的异化颗粒(生物包粒),已为人们所熟悉,但目前还没有统一的分类与命名。本文在研究徐州大北望中下寒武统生物包粒特征的基础上,结合已有研究成果,对由生物及生物化学作用形成的具有同心或放射状内部结构的碳酸盐颗粒,按其粒度和形成颗粒的生物类型不同进行分类命名,提出分类命名的原则。     

不同类型染料的缺氧生物降解性能研究

对24种常用染料在缺氧条件下的降解性能作了研究，探讨了不同类型、不同化学结构染料生物降解性的内在影响因素，得出了碱性染料和X型染料最易降解，K型染料次之，M型、KN型再次之。此外，染料的分子量、取代基数量、发色母体基团等也是影响染料缺氧生物降解性能的一个重要因素。     

中扬子及邻区层序地层与原型盆地演化

中扬子及邻区原型盆地可划分为 9个大层序,其中,1～6大层序由中、古生代海相地层组成;第 7大层序为早、中侏罗纪的陆相沉积;第 8大层序为晚侏罗世的前渊沉积;第 9层序为晚白垩世至第三纪的伸展盆地。震旦纪,中部地区为台地相环境,向南为浅海陆棚环境,向北以陆表海为主;寒武纪至早奥陶世为典型的大陆边缘盆地;中、晚奥陶世至志留纪为裂谷盆地发展阶段;泥盆纪至石炭纪该区发生广泛海侵,与华南海域和太平洋海域多处相连;二叠纪至早、中三叠世为原型盆地的重要转型时期,随着分隔秦岭微板块与扬子板块的勉略古洋盆向东打开,扬子北缘由前期的区域性隆起转变为向北加深的大陆边缘盆地;晚三叠世经历了两次幕式旋回,巴东组沉积时期盆地沉降缓慢,九里岗组沉积时期则较快;早、中侏罗世原型盆地早幕 (早侏罗世)沉积缓慢,晚幕 (中侏罗世)快速沉降,以水下沉积作用为主;晚侏罗世可划分为两大构造演化阶段,早期构造活动相对平静,晚期强烈;晚白垩世至老第三纪,盆地范围缩小,以湖泊、河流体系为主。由此,中扬子及邻区在地质历史时期经历了 4种不同性质的原型盆地,具有幕式充填特征。     

粗粒土渗透变形机制浅析

对砂卵砾石的渗透变形的形成条件进行了简要分析，在此基础上对渗透变形的形式进行了简要评价，并提出了渗透变形临界坡降的计算方法。     

芝麻营养原液的开发与研究

本文对芝麻营养保健成分的提取进行了系统的研究。确定了芝麻营养原液的制取工艺。为充分发挥芝麻的营养保健作用开辟了新的途径。     

基于Z的协议形式描述与验证

一、引言在过去的十年.计算机网络与分布式系统已取得了很大的进展[6j。步入九十年代,各种新型通信技术和分布式应用已相继出现.并已对计算机通信软件发生了重要影响。这些新技术及应用主要包括高速光纤网、多媒体通信、宽带综合业务数字网(B一IsDN)、智能网络技术.如智能服务器、智能路由选择、智能协议开发环境等.以及综合语音、数据、图文和图象服务等等。为了适应这种形势的发展一门新兴的学科一协议工程已应运而生川。     

H∞-control with measurement-feedback for Pritchard-Salamon systems

In this paper we extend the finite-dimensional results for the H_∞-control problem with measurement-feedback to a large class of infinite-dimensional systems, allowing for a certain type of unboundedness in the input and output operators (the Pritchard-Salamon class). The main result of the paper relates the solvability to the suboptimal H_∞-control problem to the existence of stabilizing solutions to certain operator Riccati equations. Furthermore, a characterization of all suboptimal controllers is given.     

Qualitative representation of spatial knowledge in two-dimensional space

Various relation-based systems, concerned with the qualitative representation and processing of spatial knowledge, have been developed in numerous application domains. In this article, we identify the common concepts underlying qualitative spatial knowledge representation, we compare the representational properties of the different systems, and we outline the computational tasks involved in relation-based spatial information processing. We also describesymbolic spatial indexes, relation-based structures that combine several ideas in spatial knowledge representation. A symbolic spatial index is an array that preserves only a set of spatial relations among distinct objects in an image, called the modeling space; the index array discards information, such as shape and size of objects, and irrelevant spatial relations. The construction of a symbolic spatial index from an input image can be thought of as a transformation that keeps only a set of representative points needed to define the relations of the modeling space. By keeping the relative arrangements of the representative points in symbolic spatial indexes and discarding all other points, we maintain enough information to answer queries regarding the spatial relations of the modeling space without the need to access the initial image or an object database. Symbolic spatial indexes can be used to solve problems involving route planning, composition of spatial relations, and update operations.     

A semantic modeling approach for image retrieval by content

We introduce a semantic data model to capture the hierarchical, spatial, temporal, and evolutionary semantics of images in pictorial databases. This model mimics the user's conceptual view of the image content, providing the framework and guidelines for preprocessing to extract image features. Based on the model constructs, a spatial evolutionary query language (SEQL), which provides direct image object manipulation capabilities, is presented. With semantic information captured in the model, spatial evolutionary queries are answered efficiently. Using an object-oriented platform, a prototype medical-image management system was implemented at UCLA to demonstrate the feasibility of the proposed approach.