嵌入学科服务过程的信息服务平台设计与实现

[目的/意义]通过组合多款具有信息发现、信息组织、信息跟踪与利用的学科信息服务工具,构建适合于三本院校的学科信息服务平台,帮助大学生快速掌握信息获取与利用的方法。[方法/过程]通过设计具有个性化定制、分析功能重组、开放资源集成及知识发现与利用等多种服务功能的信息平台,实现基础资源服务、资源引导服务和信息服务工具支撑的三位一体的面向西安电子科技大学长安学院大学生的学科信息服务。[结果/结论]通过多款信息服务工具的应用,构建面向大学生提供嵌入式学科服务的信息服务平台,有助于提高大学生的信息能力和对学科信息的敏感性。     

蒙古文资源数字化共建共享保障体系研究

[目的/意义] 由于蒙古文书写特性、阅读习惯、文字排版等方面的特殊要求,蒙古文资源的数字化建设一直困扰着学术界。为了满足专家学者对蒙古文研究的热衷和用户对蒙古文资源利用的需求,从多维度对制约蒙古文资源数字化共建共享的因素进行深入分析。[方法/过程] 借鉴中外文资源的“数字资源整合”模式和“数字资源聚合”模式的资源组织方式,在多种语言组织之间建立关联关系,从多个维度探讨蒙古文资源共建共享保障体系建设,并从信息资源环境视角改造现有蒙古文资源数字化建设路径。[结果/结论] 在对蒙古文资源共建共享保障体系研究的基础上,进一步对其进行改造,提出蒙古文资源共建共享保障体系路径,并对路径进行优化,为蒙古文资源数字化建设实践提供切实可行的参考和借鉴。     

基于共词聚类与可视化的开放式创新国外研究热点与主题分析

作为推进经济全球化的重要模式之一,开放式创新正在成为众多学者关注的新领域。对开放式创新国外研究热点与主题进行分析,有助于学者们了解其研究的发展趋势,探寻未来的研究切入点。基于开放式创新领域的可视化图谱,从网络结构特征入手对该领域的国外相关文献进行指标测度与分析,识别出领域内的研究热点,并运用凝聚子群分析法和多维尺度分析法实现对该领域研究热点主题的探究和聚类验证,进而对各热点主题进行分析。     

自媒体时代的企业网络舆情应对策略研究 ——基于上市公司百度指数的研究

【目的/意义】本文重点考察50 家上市公司对舆情事件的干预措施对百度指数变化的影响。【方法/过程】以 百度指数和“东方财富”网的“股吧”模块作为数据搜集平台,利用stata 固定效应模型将舆情指数的变化与干预方 式、干预时机、干预频率合在一起的回归分析。【结果/结论】研究发现,越及早、越主动频繁的干预,舆情变化指数越 小,也就是舆情所带来的冲击对公司的影响越小。     

基于STVAR模型的信息服务业与经济增长关系的经济学分析

【目的/意义】服务经济背景下,信息产业服务化趋势显著,信息服务业发展迅速,对国民经济的贡献日益显 著。考察信息服务业对经济增长的影响,对探析新常态下的经济增长点有重要现实意义。【方法/过程】通过构建 STVAR模型并计算脉冲响应函数,对信息服务业对经济增长的非线性动态影响进行实证检验。【结果/结论】研究表 明,信息服务业、第三产业和经济增长之间存在显著的非线性特征;信息服务业对 GDP具有正向拉动作用,但第三 产业对 GDP的影响存在差异性。     

产业技术创新战略联盟的技术竞争情报协同服务模式研究

【目的/意义】构建产业技术创新战略联盟的技术竞争情报协同服务模式,以期为技术竞争情报协同服务 工作的开展提供参考。【方法/过程】首先介绍产业技术创新战略联盟和技术竞争情报服务模式的研究现状。然后 引入利益相关者理论和协同学理论,在分析技术竞争情报协同服务要素基础上构建产业技术创新战略联盟的技术 竞争情报协同服务模式。最后提出加强技术竞争情报协同服务的策略建议。【结果/结论】构建产业技术创新战略 联盟的技术竞争情报协同服务模式对提升产业技术创新能力,提高产业核心竞争力具有重要意义。     

Event-triggered non-fragile H∞ fault detection for discrete time-delayed nonlinear systems with channel fadings

In this paper, the event-triggered non-fragile H_∞ fault detection filter is designed for a class of discrete-time nonlinear systems subject to time-varying delays and channel fadings. The Lth Rice fading model is utilized to reflect the actual received measurement signals, and its channel coefficients own arbitrary probability density functions on interval [0,1]. The event-based filter is constructed to reduce unnecessary data transmissions in the communication channel, which only updates the measurement signal to the filter when the prespecified “event” is triggered. Multiplicative gain variations are utilized to describe the phenomenon of parameter variations in actual implementation of the filter. Based on Lyapunov stability theory, stochastic analysis technology along with linear matrix inequalities (LMIs) skills, sufficient conditions for the existence of the non-fragile fault detection filter are obtained which make the filtering error system stochastically stable and satisfy the H_∞ constraint. The gains of the filter can be calculated out by solving the feasible solution to a certain LMI. A simulation example is given to show the effectiveness of the proposed method.     

Adaptive finite-time consensus of a class of disturbed multi-agent systems

In this paper, the finite-time exponential consensus problem is addressed for a class of multi-agent systems against some disturbed factors, which include system uncertainties, communication perturbations, and actuator faults. All disturbed factors are supposed to be influenced by internal and external effects of systems. The internal effects are described in terms of dependency on the system states, while the external actions are restricted by constant bounds. To obtain the information of the rate of dependency on the states and constant bounds, an adaptive mechanism is designed to estimate the rate and bounds. Based on these estimates, a distributed adaptive sliding mode controller is constructed to eliminate the effects of those disturbed factors. Then exponential consensus of the closed-loop adaptive multi-agent system is achieved within a finite time based on Lyapunov stability theory. The efficiency of the developed adaptive consensus control strategy is verified by a coupled system with four F-18 aircrafts of decoupled longitudinal model.     

Nonlinear optimal control with disturbance rejection for asteroid landing

This paper presents an optimal solution to asteroid soft landing problem, on the base of $\theta ?D$ control technique and disturbance rejection mechanism. The control objective is to drive a probe to reach the surface of an asteroid with a desirable line-of-sight angle and zero velocity, eliminating the influence of external disturbance. Firstly, elementary $\theta ?D$ technique is applied in the absence of disturbance to tackle the nonlinear optimal control problem. Secondly, the disturbance is estimated in the fast-estimation framework with explicitly bounded estimation error. Afterwards, an integrated control protocol is presented in a feed-forward structure by the aid of an additional variable-structure term to ensure stability under time-varying disturbance. Simulation results of the proposed approach compared with the results of elementary $\theta ?D$ method and robust $\theta ?D$ method are presented at the end of this paper, demonstrating the effectiveness of the proposed control protocol.     

基于自然语言词对法的文献主题新颖性探测研究

[目的/意义] 提出一个全新的量化指标--文档主题新颖度,通过自然语言词对方法对文献主题内容的新颖性进行探测研究,并探讨其可行性和优缺点以及新颖度与F1000推荐文献和引文指标之间的关系。[方法/过程] 以F1000为基础,选取hematology主题近一个月内推荐的文献,在Pubmed中查找并获取该推荐文献发表之前6个月内密切相关的文献,构成整个文献集。定义自然语言法新颖度的概念、计算公式并利用Oracle数据库PL/SQL语言进行编程,通过MetaMap软件提取自然语言词汇进行文献主题新颖度的运算。[结果/结论] 自然语言法在文献主题新颖性探测的运算上具有一定的可行性;文档主题新颖度与F1000推荐文献、引用情况并非成等价关系,分属于科技论文评价的不同维度、不同范畴,不可一概而论。应将文档主题新颖度这一新指标与同行评议情况和文献计量学等其他相关论文评价指标结合起来对文献进行综合评价分析,选取优质文献给予推荐。