浅析Windows95的自举与卸载

本文剖析了Ｗｉｎｄｏｗｓ９５的自举过程，指出Ｗｉｎｄｏｗｓ９５自举时不依于ＤＯＳ的实模式内核文件：ＭＳ－ＤＯＳ扣的ＩＯ．ＳＹＳ和 ＭＳＤＯＳ．ＳＹＳ，或者ＩＢＭＤＯＳ的ＩＢＭＢＩＯ．ＣＯＭ和ＩＢＭＤＯＳ．ＣＯＭ和ＩＢＭＤＯＳ．ＣＯＭ。     

从5．25″软盘驱动器安装MS－DOS6．0一例

从５．２５″软盘驱动器安装ＭＳ－ＤＯＳ６．０一例（６７５０００云南省楚雄人民警察学校）许兴华一台ＩＢＭＰＣ兼容机ＴＭＳ３８６ＤＸ，配有１．２ＭＢ＋３６０ＫＢ双软驱动器。笔者试图安装ＭＳ－ＤＯＳ６．０，原版ＭＳ－ＤＯＳ６．０安装系统，共计１．４４ＭＢ的...     

一个面向CAD／CAM的演绎数据库管理系统

演绎数据库管理系统ＤＥＤＢＭＳ是工程数据库管理系统ＥＤＢＭＳ／２中的一个子系统。本文着重介绍其产生式语言用户界面、工作流程及功能特点。ＤＥＤＢＭＳ系统的开发，使ＥＤＢＭＳ／２不仅具有工程数据据管理功能，而且具有数据演绎和知识处理能力，从而成为ＣＡＤ／ＣＡＭ系统集成化和智能化的有力支撑工具。     

CIMS环境下的数据库管理系统

针对ＣＩＭＳ环境对数据库管理系统（ＤＢＭＳ）的需求，对ＤＢＭＳ的开放性、安全及可靠性及分布式处理进行分析。提出了目前ＣＩＭＳ环境下ＤＢＭＳ应采用具有客户／服务器体系结构数据库管理系统     

DBMS Web支撑框架研究

ＤＢＭＳ Ｗｅｂ是Ｉｎｔｅｒｎｅｔ的一项重要信息服务，文中提出新一代ＤＢＭＳ Ｗｅｂ支撑框架概念，为ＤＢＭＳ Ｗｅｂ开发提供了可扩展、高效的软件环境。     

多线索DBMS设计环境构造及实验研究

文中介绍了一个多线索ＤＢＭＳ核心，它具有一般ＤＢＭＳ的基本功能，为不同的ＤＢＭＳ提供统一的设计环境。     

多级安全数据库管理系统MSDBMS的设计与实现

高安全性的要求为ＤＢＭＳ的设计与实现、ＤＢＳ的设计、使用和维护提出了许多新的要求。ＭＳＤＢＭＳ是我们自行研制的基于关系模型的具有多级安全特性的数据库管理系统。本文介绍了ＭＳＤＢＭＳ采用的多级安全模型和实施的自主存取和强制存取控制的访问策略，以及完整性维护等功能     

OODBMS的管理机制和能力

该文以一个实际的ＯＯＤＢＭＳ产品──ＯＮＴＯＳＤＢ为例,详细讨论了ＯＯＤＢＭＳ所具备的诸多先进管理机制和能力,提供了现代ＯＯＤＢＭＳ研究和开发的诸多先进技术和特色。     

DBMS安全和OS安全间的关系

数据库系统和ＯＳ安全的需求有许多相似之处，但也有差别。这篇文章着重讨论安全数据库的安全责任分配：数据库安全取决于三方面即保密性、完整性和可用性，责任分配为ＤＢＭＳ、ＯＳ和应用程序，而且很大程度上取决于ＯＳ的安全机制。本文首先对ＤＢＭＳ和ＯＳ安全需求进行了对比分析，然后讨论ＯＳ可以为ＤＢＭＳ提供的安全服务，以及如何影响ＤＢＭＳ的安全机制。并且力求定义ＤＢＭＳ和ＯＳ安全管理间界面。     

异构多库系统中的DBMS核心接口

异构多库系统通过局部ＤＢＭＳ核心存取数据，实现这些ＤＢＭＳ核心与整个系统交互的接口是多库集成的重要基础。本文论述多库系统中ＤＢＭＳ核心接口设计，并以Ｏｒａｅｌｅ，Ｉｎｇｒｅｓ，ｄＢＡＳＥ，Ｆｏｘｂａｓｅ等为例讨论ＤＢＭＳ核心接口的实现技术。     

社会Agent的BDO模型

目前MAS中思维状态的研究趋势是在个体模型中加入社会思维属性,研究社会承诺、依赖、联合意图的推理关系。在BDI模型中,以意图为中心的观点不描述社会Agent。该文分析了以竭力为中心的Agent思维状态研究存在的问题,提出MAS的分层模型,并提出以信念、愿望和义务作为基本思维属性（简称BDO）来描述Agent的思维状态和社会属性,给出了BDO逻辑和语义模型,考虑了奖励、惩罚、承诺和承诺解除问题,并对队、组织、组织意图等现象给出了描述。该文力图更自然地描述社会性Agent的思维状态和群体概念,是对Rao和Georgeff提出的BDI模型的改进。最后通过一个例子说明了BDO的表达能力。进一步的工作包括建立更为完善的语义模型、结合各个思维属性的动态修正语义给出BDO Agent的动态模型以及给出基于BDO逻辑框架的Agent／MAS实现结构。     

Teaching mineral prospecting by computer-assisted simulation techniques

The simulation game, which involves the interaction of a geological model, a set of rules, and teaching materials, is used to teach students and professional people attending refresher courses the techniques of mineral exploration. Using geochemical and geophysical measurements, including detailed borehole logs, the students plan an exploration strategy, control the exploration budget, discover the structure and geology of the area represented by the model, outline probable mineralizations, and evaluate the ore reserves. They choose the borehole locations, the type of drilling machine, and the drilling depth, taking continually into consideration the financial aspects.The model is multidisciplinary, involving stratigraphy, sedimentology, structural geology, tectonics, climatic conditions, metallogeny, mineralogy, and petrology. Certain of these characteristics are expressed as complex mathematical functions, which are solved by the program. The computer program also prints out the detailed borehole logs, controls the budget and drilling equipment, and enforces the rules of the game.     

多特征融合的lncRNA识别与其功能预测

针对传统的基于单一特征的植物lncRNA识别的局限性,提出了融合RNA序列的开放阅读框、二级结构以及k-mers等多特征方法,训练高斯朴素贝叶斯、支持向量机和梯度提升决策树3种经典的分类模型,并实现分类结果的集成,利用交叉验证对模型的性能进行了评估,整体性能优于目前较流行的CPAT、CNCI和PLEK预测软件,在拟南芥数据集上总体的准确率达到了89%。另外,基于内源性竞争规则以及RNA结构信息,分别对lncRNA-microRNA和microRNA-mRNA进行靶向预测、筛选,再通过整合预测数据建立互作网络,并对网络模块中的lncRNA进行功能预测。通过GO术语分析,对与mRNA相关的lncRNA可能参与的生物调控过程进行预测,推测它们的相应功能。     

ENTROPY MINIMAX MULTIVARIATE STATISTICAL MODELING—II: APPLICATIONS

Applications of entropy minimax are summarized in three major areas: meteorology, engineering/ materials science, and medicine/biology. The applications cover both discrete patterns in multidimensional spaces of mixed quantitative and qualitative variables, and continuous patterns employing concepts of potential functions and fuzzy entropies. Major achievements of entropy minimax modeling include the first long range weather forecasting models with statistical reliability significantly above chance verified on independent data, the first models of fission gas release and nuclear fuel failure under commercial operating conditions with significant and independently verified statistical reliability, and the first prognosis models in coronary artery disease and in non-Hodgkin's lymphoma with significant predictability verified on independent data. In addition, applications of entropy minimization and maximization separately are reviewed, including feature selection, unsupervised classification, probability estimation, statistical distribution determination, statistical mechanics and thermodynamics, pattern recognition, spectral analysis and image reconstruction. Comparisons between entropy minimax and other methodolodies are provided, including sample average predictors, nearest neighbors predictors, linear regression, logistic regression, Cox proportional hazards regression, recursive partitioning, linear discriminant analysis, mechanistic modeling, and expert (heuristic) programming.     

Multimedia Document Models: Sealed Fate or Setting Out for New Shores?

Existing multimedia document models like HTML, MHEG, SMIL, and HyTime lack appropriate modeling primitives to fit the needs of next generation multimedia applications which bring up requirements like reusability of multimedia content in different presentations and contexts, and adaptation to user preferences. In this paper, we motivate and present new requirements stemming from advanced multimedia applications and the resulting consequences for multimedia document models. Along these requirements, we discuss the document model standards HTML, HyTime, MHEG, SMIL, and Z_YX, a new model that has been developed with special focus on reusability and adaptation. The analysis and comparison of the models show the limitations of existing models, point the way to the need for new flexible multimedia document models, and throw light on the many implications on authoring systems, multimedia content management, and presentation.     

基于MOM的异步可靠Web服务模型的设计与实现

提出了一个基于消息中间件(MOM)的异步可靠Web服务模型,该模型分为服务器端和客户端两大部分,支持同步和异步调用,解决了Web服务调用中可能会出现的异常问题,如服务短暂停止和网络出现故障等.对该模型进行了分析,然后对该模型的客户端和服务器端进行了设计实现.最后该模型通过消息持久化、消息队列和消息状态以及优先级管理和消息保证迭达等机制保证了消息传输的可靠性,提高了Web服务的服务质量.     

不确定性人工智能

在主、客观世界普遍存在的不确定性中,随机性和模糊性是最重要的两种形式.研究了随机性和模糊性之间的关联性,统一用熵作为客观事物和主观认知中不确定状态的度量,用超熵来度量不确定状态的变化,并利用熵和超熵进一步研究了混沌、分形和复杂网络中的不确定性,以及由此带来的种种进化和变异,为实现不确定性人工智能找到了一种简单、有效的形式化方法,也为包括形象思维在内的不确定性思维的自动化打下了基础.不确定性人工智能是人工智能进入21世纪的新发展.这个由多学科交叉渗透构成的新学科,必将使得机器能够具备人脑一样的不确定性信息和知识的表示能力、处理能力和思维能力.     

Assessments of molar volumes of Co-, Ni- and Ti- related bcc and fcc phases

In the present work, we modeled the molar volumes of the bcc phases in Co-X (X = Fe, Mo and Zr), Ni-X (X = Fe, Mo and V) and Ti-X (X = Fe, Mo, Nb, Ta and V) binary systems, as well as fcc phases in Co-X (X = Au, Fe, Ge, Hf, Ir, Mo, Nb, Ni, Os, Pd, Pt, Re, Rh, Ru, Sc, Sn, V, Zn and Zr), Ni-X (X = Al, Au, Cr, Cu, Fe, Ga, Ir, Mo, Nb, Os, Pd, Pt, Rh, Ru, Sb, Sn, Tc, Ti, V and Zn) and Ti-X (X = Au, Cu, Ni and Pd) binary systems, at room temperature and atmospheric pressure by using the CALPHAD method combined with first-principles calculations. The model parameters involve molar volumes of pure constituent elements in their stable, metastable or unstable bcc and fcc structures and excess molar volumes. Specifically, the molar volumes of the pure constituent elements in their stable or metastable bcc and fcc structures were directly adopted from the previous CALPHAD assessments or experimental measurements from the literature; for their unstable bcc and fcc structures, a new method of volume extrapolation was proposed, which avoids trial-and-error fitting. Once the molar volumes of pure constituent elements were fixed, the excess term was easily assessed according to the experimental measurements from the literature combined with the first-principles calculation results. The thus assessed model parameters can well reproduce most experimental data.     

生物启发计算研究现状与发展趋势

生物启发计算的宗旨是研究自然界生物个体、群体、群落乃至生态系统不同层面的功能、特点和作用机制,建立相应的模型与计算方法,从而服务于人类社会的科学研究与工程应用．它既是人工智能的继承与发展,同时也是从新的角度理解和把握智能本质的方法．本文阐述了生物启发计算所涉及的生物进化论、共生进化论和复杂适应系统的理论起源．在对生物启发计算进行分析、归纳和总结的基础上,介绍了现有生物启发计算算法研究成果,并从最优设计、最优分析和最优控制3个方面对生物启发计算的应用研究成果进行了梳理．以此为基础,进一步地提出了生物启发计算的统一框架模型．最后,围绕并行生物启发计算、具有学习推理和知识学习生物启发计算、生物动力学启发计算、基于微生物群体感应的生物启发计算以及人工大脑、进化硬件、大数据、群集机器人、虚拟生物和云计算等前沿热点理论问题和工程应用问题对生物启发计算的发展方向和研究挑战进行了展望及分析．