Information systems and uncertainty: a conspiracy of misplaced confidence

Abstract. Information technology is becoming an increasingly important factor in contemporary management. Information systems are being set up in business explicitly to accommodate the new opportunities of this technology, and these are having a lasting effect on managerial practice. The full implications of this technology-driven development have not been appreciated by organizations, which in absorbing technological systems, are tolerating a great drain on their resources.
The efficacy of computers is predicated on the acceptance of some very specific perspectives. A growing discontent and disappointment with their limited achievements is our reason for advocating a different point of view. We will discuss how a shift in perspective, particularly in respect to the perception of uncertainty, will affect thinking and practice in the field of management support systems. We will render our view of the application of computerized decision support systems (DSS), and especially, we will focus on the beliefs and assumptions that have shaped this technology thus far. To this end we will discuss the concept of uncertainty, by juxtaposing current thinking and practice with our understanding of the context of its application. Finally, we will place our understanding of uncertainty in a managerial context and explain the implications this would have for strategists.     

三维叠前深度偏移处理技巧与应用

结合研究区的地质资料，着重就研究区的速度深度模型的人工控制进行了研究；基于研究区断裂系统复杂，为了解所用处理方法对复杂构造的适用性，设计了2个模型来检验叠前深度偏移效果的有效性；与时间偏移相比，叠前深度偏移高质量地解决了复杂断块区的成像问题。     

中国学术期刊网燕化镜像站点建设

通过中国学术期刊网燕化镜像站点的建设，介绍了燕山石化镜像站点的配置及主要管理功能和对全文数据库的检索，浏览功能，同时介绍了新形势下，信息化建设的新观念，新思路，以及强化信息意识，加强信息服务产业化发展的重要性和迫切性。     

网络安全隔离技术浅析

介绍建设行政主管部门信息网络安全现状及其解决方案     

高速公路全程信息服务系统的研究

针对高速公路沿线紧急救助电话难以维护管理以及行驶车辆难以获得信息服务的问题，提出了一种基于数据网络和GSM通信网络平台的紧急救助与信息服务模式-“交通信息呼叫中心”（Traffic Call Cencer)。呼叫中心采用GSM通信平台与路网内的车辆传输信息，有效地解决了用户紧急呼救与实时请求服务的信息交互问题，文中还给出了一种技术方案。     

Comparison of the GFFF and LALLS Methods for the Measurement of Starch Granule Size Distribution in Spring Barley Caryopses

A newly developed method GFFF (Gravitational Field‐Flow Fractionation) and the well known method LALLS (Low Angle Laser Light Scattering) were used to assess starch granule size distribution of ten varieties of spring barley. As a distribution criterion, the ratio of starch granule content larger than 8 μm (type A) and smaller than 8 μm (type B) was chosen. Both methods divided the observed set in a similar way. Varieties Akcent, Forum and Atribut formed a variety set with the highest ratio of large and small starch granules. Varieties Scarlet and Kompakt had intermediate ratios. The remaining five varieties Amulet, Novum, Olbram, Tolar and Krona had the lowest ratios of large and small starch granules. Statistical analysis showed that there was a highly significant correlation between the GFFF and LALLS methods.     

一种新的加权最小二乘测距定位方法

三站二维定位问题是最小定位问题，一般只利用几何关系就能获得定位估计，但由于未利用距离测量的统计信息，定位精度较差。该文先将点到点的距离测量转化为点到线的距离估计，再在此基础上推导出一种新的加权几休定位方法，其中加权的确定利用了距离测量的统计信息。仿真实验表明，在测距误差较小时新方法具有更高的定位精度。     

Extrapolation of fuzzy values from incomplete data bases

This paper presents different approaches which enable a data base management system to obtain a plausible fuzzy estimate for an attribute value of an item for which the information is not explicitly stored in the data base. This can be made either by a kind of analogical reasoning from information about particular items or by means of expert rules which specify the (fuzzy) sets of possible values of the attribute under consideration, for various classes of items. Another kind of expert rules enables the system to compute an estimate from the attribute value of another item provided that, in other respects, this latter item sufficiently resembles the item, the value of which we are interested in; then these expert rules are used either for controlling the analogical reasoning process or for enlarging the scope of application of the first kind of expert rules. The different approaches are discussed in the framework of possibility theory.     

FILIP: A fuzzy intelligent information system with learning capabilities

FILIP (fuzzy intelligent learning information processing) system is designed with the goal to model human information processing. The issues addressed are uncertain knowledge representation and approximate reasoning based on fuzzy set theory, and knowledge acquisition by “being told” or by “learning from examples”. Concepts that can be “learned” by the system can be imprecise (fuzzy), or the knowledge can be incomplete. In the latter case, FILIP uses the concept of similarity to extrapolate the knowledge to cases that were not covered by examples provided by the user. Concepts are stored in the Knowledge Base and employed in intelligent query processing, based on flexible inference that supports approximate matches between the data in the database and the query.

The architecture of FILIP is discussed, the learning algorithm is described, and examples of the system's performance in the knowledge acquisition and querying modes, together with its explanatory capabilities are shown.     

数字电视传输流的实时码率变换系统

数字视频压缩后通常是打包成传输流的形式进行传送，年个传输流有其固定的发送码率，在某些应用场合，比如信道调制前端，需要对输入传输流码率进行改变以适应该信道要求，描述了一种全硬件实现，双路输出，实时，节目可选择的码率变换系统的原理及具体实现。