试卷难度评估体系与控制模型

给出了试题难度和试卷难度的一种评估指标体系,讨论了试题、试卷难度的控制方法,并给出了试卷难度的一种控制模型和实现思路,以及该难度控制技术在智能型试卷自动生成系统中的实现,为智能型试卷自动生成系统中试卷难度的控制提供了理论依据.     

一种试卷自动生成系统的研究与实现

为了生成试卷,需要从试题库中遴选出一定的题目。而怎样合理地选取试题又依赖于科学的试卷生成算法。本文研究并实现了一种试卷自动生成系统,系统中所使用的生成算法兼顾试卷难度、试卷题量和试题知识点的章节分布等各个方面。该系统通用性强,适合于各门课程的考试。     

基于模板的试卷生成研究和实现

本文以"试题库及试卷管理系统"的开发为背景,简要介绍了基于模板的试卷生成思想,探讨系统开发过程中基于模板的试卷生成系统研究和实现,重点介绍了word格式试卷的生成实现方式。     

试卷生成系统的设计与实现

分析试卷生成系统的功能需求之后,利用Delphi开发了一个试卷生成系统。系统能够实现人工组卷和自动组卷,生成的试卷以及试卷答案可以直接送入目前广泛使用的字处理软件Word中。     

基于校园网的试卷生成与网络考试系统的实现

考试试卷生成与网络考试系统是采用先进的程序设计语言和网络技术开发,从而实现试题库的管理、考试试卷出题、考试试卷的审批、考试试卷的考题类型及分值分配,使传统考试试卷生成和考试的过程都集成在了本系统之下,从而考试实现了信息化。     

基于VB的试卷生成系统的实现

利用Viaual Basic+Access开发了一个试卷生成系统。系统能够实现手动组卷和自动组卷,生成的试卷以及试卷答案可以直接保存到字处理软件Word中。     

基于VB的题库自动生成管理系统的开发与实现

论述了采用Visual Basic6．0结合Access2000开发题库自动生成管理系统,并介绍了该系统可以实现的主要功能．其中包括试题库的生成、考试题库的生成以及自动生成Word格式的试卷和答案。该系统适用各院系的试题管理工作,具有较好的实用价值。     

福州职业技术学院课程考试试卷自动生成系统介绍

本文作者利用Delphi开发工具和VBA开发技术,开发了一个试卷生成系统。该系统主要具有以下功能:手动生成试卷;自动生成试卷;抽取现有试卷;用户管理;数据库管理。     

在VFP下高等代数试题库的设计与实现

介绍了在Visual FoxPro下高等代数试题库的设计与实现方法，该系统的主要特性，包括引用WORD的强大功能和自动生成试卷时杜绝试题的重复性和减少同类型试题的重复性，将保存在数据表中选取的试题生成WORD文档形式的试卷。在VFP下成功地实现了高等代数试题库管理信息系统。叙述了在Visual FOXPro下实现该系统的关键技术。     

高等数学自动成卷系统的设计与实现

以高等数学学科试题库为基础,本文介绍了试卷生成系统的开发过程,着重解决了系统数据库设计和自动成卷策略的设计,并选择Visual C＋＋和ADO数据库技术进行实现。系统具有生成试卷、试卷维护、试题维护、浏览打印等功能,能方便地生成满足用户成卷要求的有效试卷。     

光伏电池的仿真及其模型的应用研究

不论是太阳能发电系统还是风光互补发电系统,熟悉光伏电池的输出特性是设计新能源发电系统的基础和前提.根据光伏电池输出特性关系式,利用MATLAB的Simulink模块搭建了参数和工况可调的光伏电池模型,并运用该模型建立了具有最大功率跟踪(MPPT)功能的光伏发电系统的仿真模型,通过仿真结果可以更好地把握光伏电池的特性,为...     

面向航天任务综合仿真的想定生成系统研究

设计和实现了一个面向航天任务综合仿真的想定生成系统。目前,多数的想定生成系统都是为军事战术仿真服务,而所描述的想定系统,则是建立在航天任务综合仿真的基础上。航天任务综合仿真的想定生成系统有如下特点;首先,它支持同一概念模型向不同仿真模型的映射;其次,由于想定模型种类多样,模型之间关系复杂,想定生成系统在对多粒度模型支持以及想定的描述方法等方面也异于一般想定生成系统。首先定义了航天任务综合仿真的想定的内涵,并阐述了想定生成系统的特点。接下来给出了系统的组成结构,最后是系统实现方案及运行流程。     

基于身份和Weil对的聚合签名方案

提出了一种基于身份和Weil对的聚合签名方案。方案中密钥生成中心负责系统公、私钥的生成,消息的分配和签名者公、私钥的生成。签名者是具有某种特殊身份的个体,并且这种身份是唯一的,这一身份是签名者从密钥生成中心获得签名私钥的唯一凭证。每个签名者只负责对某一段消息的签名,总的签名由签名聚合者结合每位签名者的单个签名生成。这样就避免了暴露整个消息给所有的签名者,这一特性在某些对消息保密要求性较高的场合得以广泛应用。该方案在签名时用到了双线性映射,从而减少了验证时的对运算。     

J2EE平台下代码自动生成技术研究

采用代码自动生成技术能为软件开发带来代码质量的提高、开发风险的降低等优点,提高了软件开发的速度和质量。该文描述了一种基于模板的代码自动生成系统的设计和实现,并利用它完成了基于J2EE-Web应用系统的代码自动生成工作。     

An efficient approach for scene categorization based on discriminative codebook learning in bag-of-words framework

This paper proposes an efficient technique for learning a discriminative codebook for scene categorization. A state-of-the-art approach for scene categorization is the Bag-of-Words (BoW) framework, where codebook generation plays an important role in determining the performance of the system. Traditionally, the codebook generation methods adopted in the BoW techniques are designed to minimize the quantization error, rather than optimize the classification accuracy. In view of this, this paper tries to address the issue by careful design of the codewords such that the resulting image histograms for each category will retain strong discriminating power, while the online categorization of the testing image is as efficient as in the baseline BoW. The codewords are refined iteratively to improve their discriminative power offline. The proposed method is validated on UIUC Scene-15 dataset and NTU Scene-25 dataset and it is shown to outperform other state-of-the-art codebook generation methods in scene categorization.     

On the possibilities of (pseudo-) software cloning from external interactions

This paper discusses some initial investigations into the application of genetic programming technology as a vehicle for re-examining some existing approaches within the software life-cycle. Specifically, it outlines a new direction in production techniques—software cloning from executable specifications or source code. It explores the possibility and advantages of producing a system from its external interactions. To allow this production to be automatic, the system assumes that it can view (and potentially manipulate) these external interactions of the original system; and hence it assumes the existence of either an executable specification or the source code—an object to assist in the generation of the external interactions; i.e. the system is treated as a black-box. Although the generation and application of software clones is relatively unexplored, it is believed that this is a fundamental technology that can have many different applications within a software engineering environment. For example, software clones could be used in: complexity measurement, software testing and software fault tolerance. Clearly, for these clones to be usable, their production needs to be automated. An interesting approach to this automatic production or generation problem is the application of evolutionary-based Genetic Programming (GP). Using the paradigms of best fit, selection, crossover and mutation, a number of clones, satisfying specific requirements, can be automatically generated. In general, GP is a flexible and powerful algorithm suitable for solving a variety of different problems. This paper presents the results of studies that have been conducted in order to answer questions related to feasibility of using GP for clone generation: what features of GP are important? What works and what does not? How can the GP be “tuned” for the problem? The results have been used to draw a set of suggestions and conclusions that indicate possible usability of GP-based approach to automatic generation of clones.     

The role of models@run.time in supporting on-the-fly interoperability

Models at runtime can be defined as abstract representations of a system, including its structure and behaviour, which exist in tandem with the given system during the actual execution time of that system. Furthermore, these models should be causally connected to the system being modelled, offering a reflective capability. Significant advances have been made in recent years in applying this concept, most notably in adaptive systems. In this paper we argue that a similar approach can also be used to support the dynamic generation of software artefacts at execution time. An important area where this is relevant is the generation of software mediators to tackle the crucial problem of interoperability in distributed systems. We refer to this approach as emergent middleware, representing a fundamentally new approach to resolving interoperability problems in the complex distributed systems of today. In this context, the runtime models are used to capture meta-information about the underlying networked systems that need to interoperate, including their interfaces and additional knowledge about their associated behaviour. This is supplemented by ontological information to enable semantic reasoning. This paper focuses on this novel use of models at runtime, examining in detail the nature of such runtime models coupled with consideration of the supportive algorithms and tools that extract this knowledge and use it to synthesise the appropriate emergent middleware.     

基于Prompt的两阶段澄清问题生成方法

在自然语言相关系统中,当用户输入存在歧义时,生成澄清问题询问用户有助于系统理解用户需求;基于Prompt的方法可以更好地挖掘预训练语言模型的潜在知识,但往往需要手动设计模板,限制其生成澄清问题的多样性。为解决这一问题,提出了TSCQG（two-stage clarification question generation）方法。首先,在动态Prompt模板生成阶段,利用歧义上下文和预训练语言模型生成动态的Prompt模板;然后在缺失信息生成阶段,将Prompt模板与外部知识相结合,充分利用预训练语言模型的生成能力生成相应的缺失信息。实验结果表明,在CLAQUA数据集的多轮对话情况中,BLEU值和ROUGE-L值分别达到了58.31和84.33,在ClariQ-FKw数据集上,BLEU值和ROUGE-L值分别达到了31.18和58.86。实验结果证明了TSCQG方法在澄清问题生成任务上的有效性。     

Automatic generation of tourism quiz using blogs

The one-way information communication provision does not impress listeners well. As an efficient way, Question & Answer can not only help listeners to comprehend the content of information but also help information providers understand the response of listeners. However, it is not easy for everyone to create suitable questions. In this paper, we propose an automatic quiz generation system using tourism blogs. The system can generate quizzes by extracting feature words of the topic keyword from blogs. Our purpose is to help tourism information providers to advertise their tourism events in an interactive way, in order to impress tourists. When compared with other methods of quiz generation, we demonstrate that our method is more suitable for information communication provision.     

复杂串联系统的状态空间生成的形式化分析

大规模系统的模型状态空间生成过程由于状态空间的规模没有预先估计而不可控,形式化分析有利于解决这一问题。本文针对复杂串联系统的特殊结构,采用形式化方法分析研究了它的状态空间生成规律,从而达到快速预估模型状态空间规模的目的。