网络背景下影响我国意识形态安全因素的辩证分析     

董丽娇 《未来与发展》2014,(9):43-47

互联网是一把双刃剑,对与意识形态相关的经济利益、政治观念、文化实力、社会风气等因素的影响,呈现出利弊两方面。互联网对我国意识形态安全建设产生了正效应：它解放发展了生产力;使主流意识形态得到广泛的政治认同;实现了意识形态传播方式的革命性变革;它能形成良好的社会风气,传递正能量。同时,互联网对意识形态安全建设也存在着负效应：它加剧了经济结构变化、社会群体分化;削弱了主流意识形态的凝聚力和辐射力;演化为西方文化霸权的工具;它能催生出不良的社会风气,造成道德沦丧。  相似文献   

国家情报评估与决策的关系——基于多源流理论和认知心理学双重视角     

王今  马海群  邹纯龙 《图书情报工作》2022,(2):22-31

[目的 /意义]《国家情报评估》被认为是美国情报界最正规和最高水平的战略分析产品.对国家情报评估与决策的关系深入研究,可有助于我国完善科学决策体系,对国家治理体系现代化建设大有裨益.[方法/过程]基于多源流理论和认知心理学,从建议采纳视角出发构建出国家情报评估与决策的影响机制模型,借助模糊集定性比较分析法(fsQCA)...  相似文献   

基于高校体育类社团的大学生体育精神培育路径探索     

王充  孙海鸥  于兴业 《辽宁体育科技》2022,(1)

体育精神培育作为体育事业发展的支柱和灵魂,成为坚定信心、奋力拼搏、提高国家体育综合实力的迫切需要。从培养德智体美劳全面发展的社会主义建设者和接班人的角度出发,将体育精神培育和思想政治教育相结合,以大学生体育类社团作为体育精神培育的载体切入,分析当前存在的一些问题,探讨大学生体育类社团建设和大学生体育精神培育的路径,为高校学生体育类社团建设发展及体育教学、体育精神培育提供参考。  相似文献   

Zonotopic fault detection for discrete-time systems with limited communication capability and sensor nonlinearity     

《Journal of The Franklin Institute》2022,359(11):5733-5749

In this paper, the fault detection filter (FDF) design problem based on a dynamic event-triggered mechanism (DETM) is investigated for discrete-time systems with signal quantization and sensor nonlinearity. In order to conserve the limited network resources, a newly event-triggered mechanism with dynamic threshold is adopted to reduce the number of transmitted data through network more effectively. With the consideration of DETM, signal quantization and sensor nonlinearity, a fault detection filter is constructed to achieve the robustly asymptotic stability of established model with expected fault detection objective. In addition, by influence of DETM, external interference and quantization errors, a zonotopic residual evaluation mechanism is constructed to detect the occurring fault of plant. Finally, a practical example is provided to illustrate the effectiveness of proposed design approach.  相似文献   

Nonlinear curve fitting-based fast robust MPC algorithm for nonlinear system     

《Journal of The Franklin Institute》2022,359(11):5206-5230

In the existing efficient robust model predictive control (ERMPC) algorithms (see e.g. [14,31,32]), through offline optimization and online lookup table calculation, a fixed state feedback control law or a linear interpolated control law is applied to a system when the system state lies between two adjacent polyhedrons, which undoubtedly will result in conservativeness of the controller. Faced with this issue, an improved ERMPC algorithm is proposed in this paper, which considers the nonlinearity between the state feedback control laws with respect to polyhedrons and the norm distance from system state to origin, and can provide continuously variable state feedback control law varying with the state. First, a set of polyhedral parameters and their corresponding state feedback control law sequences are obtained offline by solving a set of LMIs optimization problems. Next, for each state feedback control law sequence, a nonlinear fitting function is established offline between the state feedback control law and its serial number. Then a simplified lookup table is constructed offline to save memory space and shorten online computation time of the controller. According to the simplified lookup table and information of the norm distance from system state to origin, we online establish the coordinate of current state in the nonlinear fitting curve for getting current feedback control law, which changes continuously with the state. The proposed ERMPC algorithm is successfully applied to an actual fast-responding linear one stage inverted pendulum (LOSIP) system to verify its effectiveness.  相似文献   

Robust input/output model matching of asynchronous sequential machines under intermittent actuator faults     

《Journal of The Franklin Institute》2022,359(16):8950-8973

A robust model matching control scheme for input/output asynchronous sequential machines (ASMs) with intermittent actuator faults is presented in the framework of corrective control. In our problem setting, certain actuator outputs are not transmitted to the machine temporarily owing to random faults. We first present a state observer that predicts the current stable state of the machine based on the output burst and control input, as well as diagnoses actuator faults. We then address the existence condition and design procedure for an output-feedback corrective controller that matches the input/output behavior of the closed-loop system to that of a reference model against intermittent loss of actuator outputs. To demonstrate the applicability of the proposed control method, we implement a practical asynchronous digital system with the developed corrective controller on the field-programmable gate array (FPGA) circuit. Experimental verifications using the FPGA circuit are also provided.  相似文献   

Generalized ESO based stable predictive tracking control for micro gas turbine cogeneration system     

《Journal of The Franklin Institute》2022,359(11):5148-5173

Control of micro gas turbine combined heating and power (MGT-CHP), i.e., cogeneration systems, is challenging because of large inertia, strong coupling, strict input constraints, nonlinearity, and complex disturbances. To overcome these problems, this paper develops an extended state observer (ESO) based stable predictive tracking control (SPTC) for MGT-CHP. Unlike traditional ESO-based control methods, ESO-SPTC guarantees overall optimality by using disturbance feedback compensation. A new discrete-time generalized ESO is developed for the ESO-SPTC to surmount higher-order disturbances and its bounded stability is demonstrated. Besides, the designed SPTC fully guarantees that the infinite horizon inputs fully satisfy the amplitude and rate constraints. The resulting ESO-SPTC can eliminate the impact of matched and unmatched disturbances in the output channel at a steady state. Simulation results on a numerical example and an 80 kW MGT-CHP verify the effectiveness of the control scheme.  相似文献   

科学数据复用研究的演化、知识体系与方法工具——兼论第四科研范式的影响     

黄欣卓米加宁  章昌平巩宜萱 《科研管理》2022,43(8):100-108

科学数据的开放共享推动了学术界对于其公共学术价值的认识和利用,大数据、科研基础设施和科研环境信息化使得科学研究向第四研究范式转型,科学数据复用为新的科学发现和知识创新提供了有效途径。科学数据复用研究受到学术界的关注,相关研究成果在近20年来日益丰富,但该学科领域的知识体系尚未建立。本研究以Web of Science核心合集数据库作为数据采集来源,运用HistCite和CiteSpace软件绘制知识图谱并结合文本内容分析,梳理了科学数据复用研究的发展态势、演进过程及研究结构,研究发现：科学数据复用研究经历了萌芽阶段（2006年前）、发展阶段（2007—2014年）和爆发阶段（2015年至今）,主要包括基本内涵、共享与复用关系、数据复用影响因素、学科领域研究以及数据复用伦理等五个方面的研究主题。基于此,本研究从保障平台、理论基础、研究分支和方法工具四个层面构建科学数据复用研究的知识体系,并提出科学数据公共学术价值、科学数据复用行为及机制、科学数据复用评价及影响力、科学数据复用政策和领域科学数据复用研究等几个亟须深入开展的研究主题。本研究为今后开展科学数据复用的相关研究提供理论和实践指导。 〖HT5”H〗  相似文献   

科技服务业集聚结构特征与区位因素研究     

王宏起李莹莹  王珊珊 《科研管理》2022,43(10):24-32

    科技服务业集聚结构与功能,与区域创新需求和条件息息相关。运用HDI、区位熵、灰色关联度对我国2003—2018年31个省域科技服务业集聚规模、时空分布态势、结构特征、区位因素进行研究,发现：（1）发达省域科技服务业集聚规模较大,省域间规模差距逐渐缩小;（2）研究和试验发展、专业技术、科技推广和应用三类服务业态的专业化集聚分别呈增长-重心东移、降低-重心西移和增长-均匀化趋势;（3）当前各省域集聚结构存在三种形态、两种主要演变趋势和四条演化路径;（4）区位因素对科技服务业集聚结构产生重要影响,但不同服务业态的影响因素存在差异。最后,从省域间服务业梯次联动发展、不同经济水平省域当前服务业发展任务、基于区位因素制定服务业发展政策、服务业重点发展业态四个方面提出对策建议。研究有助于把握我国科技服务业集聚的时空演变规律及区位影响因素,对于各省优化科技服务业发展规划与政策、改善科技服务业集聚结构和提升科技服务水平有积极促进作用。  相似文献   

数字化水平对制造企业商业模式创新的跨层次作用研究     

李盼盼  乔晗郭韬 《科研管理》2022,43(11):11-20

为揭示数字化水平对制造企业商业模式创新的影响,根据动态能力理论和商业模式冰山理论构建了地区数字化水平与动态能力对商业模式创新跨层次影响的理论模型,基于59个城市的415家制造企业样本数据,采用多层线性模型开展实证研究,并选取典型案例对实证结果进行了验证。研究表明：地区数字化水平对商业模式创新具有正向影响;吸收能力、适应能力和创新能力均对商业模式创新具有正向影响;吸收能力、适应能力与创新能力均正向调节地区数字化水平对商业模式创新的影响。本研究拓展了商业模式冰山理论的应用范畴,丰富了商业模式创新前因的研究成果,并为数字化环境下企业商业模式创新实践提供了指导依据。  相似文献