重点实验室科研信息管理规划与设计

根据目前重点实验室科研信息管理工作的需要,采用ASP技术和Access网络数据库,开发了科研信息管理系统。对科研管理工作进行了系统的研究,初步实现了科研信息管理的无纸化和网络化办公。系统的开发对减少科研信息管理工作的重复工作,实现信息共享,提高工作效率有十分重要的意义。     

基于．NET技术的高校科研信息管理系统的开发研究

随着高校科研活动的增多,科研信息管理工作日益繁重,开发一个满足科研管理工作需求的系统．实现科研管理工作的信息化,提高管理质量和效率是当前一项迫切的任务。本文介绍了一种基于．NET技术开发高校科研信息管理系统的方案,重点论述系统需求和服务对象、系统的体系结构设计以及所采用的技术方案。     

永中OFFICE维、哈、柯文版的关键技术及其实现

在简介少数民族文字特征的基础上,提出了设计的关键技术难点和应达到的目标。难点涉及双向文本、右向风格界面、多个语言版本的兼容性协调性三个方面的问题。双向文本问题也是国际化文字处理领域讨论的热点、难点,基于BIDI算法提出了双向文本显现和处理的通用模型。并基于Swing图库构建了界面双向风格的支撑框架,简述了多版本问题的资源抽取策略。     

基于VFP的学生信息管理系统的设计与实现

随着教育的普及,学生人数不断增加,对学生信息的管理也变得更加复杂,如何管理好学生的各类信息,提高学生管理工作的效率,成为学校管理工作中的一个大问题。该文通过对学生信息管理系统的设计过程的解析,以期对学生管理工作有所裨益。本信息管理系统主要是实现对学生档案及成绩信息的相关数据进行管理,基于此,设计了四个功能模块,分别是:用户管理模块;数据管理模块;报表打印模块;系统管理模块。其中数据管理模块是整个系统的核心部分,在此模块中,实现了对学生档案信息、成绩信息的浏览、查询、变更等相关功能。     

基于BERT-Att-biLSTM模型的医学信息分类研究

目前,对互联网上虚假健康信息的研究多集中于谣言识别,而对医学信息自动分类的研究较少。采用基于双向编码的语言表征模型和注意力增强的双向长短时记忆模型(BERT-Att-BiLSTM模型),对健康信息文本进行分类,实现自动识别虚假健康信息。实验结果表明,BERT-Att-BiLSTM模型可以高效地对医学信息进行分类,其中BERT模型相较于BiLSTM模型,性能提升明显;与融合Word2Vec的BiLSTM模型相比,BERT-Att-BiLSTM模型效果更佳。     

FOXBASE+程序中实现浏览文本文件

在用FOXBASE+开发信息管理系统中,经常要实现屏幕查阅文本信息,如查阅文件档案信息、显示帮助文本、模拟显示打印报表等。通常这些信息是预先以ASCⅡ码的形式存放在文本文件中,应用程序则去调用显示文本文件的相应内容来实现查阅功能,编写调用程序可以用其它高级语言(如C语言),但那样比较麻烦,笔者在应用中利用FOXBASE+本身的BROWSE命令的强大功能编写了一段小     

基于BERT-BiGRU模型的智慧医疗问答系统

针对医疗问答系统在处理复杂问题时面临上下文语义理解的局限,提出一种基于BERT-BiGRU的模型。通过预训练语言模型BERT和双向门控循环单元BiGRU建立医疗问答系统,其中BERT提取文本语义特征,BiGRU学习文本的顺序依赖信息,进而全面表示文本语义结构信息。在CBLUE医疗问答数据集上与基准方法相比,该模型在意图识别任务上的精确率提高到79.22%,召回率提高到81.23%,F1值(精确率和召回率的调和平均值)提高到79.82%。研究表明,结合BERT和BiGRU的模型可以更好地理解医疗问句的语义和结构信息,显著地提升了医疗问答系统的性能。     

预训练模型下融合注意力机制的多语言文本情感分析方法

多语言文本的情感分析是情感分析领域的重要问题之一,而现有的情感分析方法着重于对单语言文本的研究.本文针对中英混合文本提出了一种细粒度情感分析模型,通过基于大规模语料的预训练语言模型得到上下文语义相关的词向量,将词向量输入双向LSTM网络学习文本的情感表征,使用多语言注意力机制分别针对单语和双语文本提取关键情感表征,最终通过并行融合的方式提升情感分类效果.本文使用NLPCC2018多语言文本情绪分析任务数据集进行细粒度情感分析,对比评测任务中的最好结果,本文模型得到的宏平均F1值提高至0. 581,表明了本文方法的有效性.     

基于Apriori算法在学生信息管理系统中的应用与研究

随着全球网络化,网络环境已被应用到各个领域,而学生信息的不断增加使得普通数据库已无法满足学生管理需求。为了促进学生信息管理工作更好的开展,利用数据挖掘技术从大量历史数据中挖掘其中隐含的信息就变得尤为重要,而挖掘的信息也可以作为指导学生信息管理工作开展的依据。本文以学生信息管理系统为研究对象,针对学生信息管理工作冗长复杂且管理困难等问题提出Apriori算法,Apriori算法在系统中的运用使得学生信息管理效率有了大幅度的提升。     

维哈柯及蒙语多文种语言相似性考查研究

该文以阿勒泰语系下的维哈柯及蒙古语多语言平行文本和语音语料为研究对象,分别对比多语言文本量化序列向量及语音声学音律特征的相似度,研究语言信息间存在的相通性。试验发现,同语系同语族黏着语言相似度较高 文本相似性达85%;声频特征相似性达95%。从而确认在同语系多种黏着语言间创建语言信息共享云模的可行性,这将有利于实现语言文本及语音信息的跨语言转换处理,极大降低少数民族语言信息处理成本。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.