基于专家知识的ANFIS软件质量评价建模与仿真

通过研究目前广泛用于软件质量评判的模糊综合评判法,分析了该方法存在的不足,并提出了基于专家知识的自适应神经推理(adaptive neural-fuzzy inference system,ANFIS)软件质量评价模型。在建模过程中,利用专家知识获取输入指标的不同重要度,对指标进行修正作为软件质量评判模型的输入,结合ANFIS的自适应、自学习特性,实现了软件质量评价过程中推理规则适应度、隶属度函数形状及参数的自适应调节,提高了质量评判模型的可信度、准确度。最后运用该模型对嵌入式软件质量进行评价,仿真和试验结果说明了该方法的可行性和有效性。     

基于动态拓扑有领航者的智能群体群集运动控制

对具有二次积分动态的智能群体跟随领航者实现群集运动编队,提出了一个分散控制方法对智能群体进行分散控制。基于动态时变有领航者的网络拓扑,用图论模型表示智能体之间的相互作用及通信关系,运用推广的Lyapunov理论、微分包含及非平滑分析进行了稳定性分析,并得到所有智能体速度方向收敛到同一方向并与领航者保持一致;所有智能体速度大小收敛并与领航者相同;互连的智能体之间没有碰撞发生;所有智能体的人工势场函数被最小化等重要结论。给出了一个仿真实例,验证了该方法的有效性。     

Modeling and simulation of the vulnerability of interdependent power-water infrastructure networks to cascading failures

Critical infrastructures are becoming increasingly interdependent and vulnerable to cascading failures. Existing studies have analyzed the vulnerability of interdependent networks to cascading failures from the static perspective of network topology structure. This paper develops a more realistic cascading failures model that considers the dynamic redistribution of load in power network to explore the vulnerability of interdependent power-water networks. In this model, the critical tolerance threshold is originally proposed to indicate the vulnerability of network to cascading failures. In addition, some key parameters that are important to network vulnerability are identified and quantified through numerical simulation. Results show that cascading failures can be prevented when the values of tolerance parameter are above a critical tolerance threshold. Otherwise interdependent networks collapse after attacking a critical fraction of power nodes. Interdependent networks become more vulnerable with the increase in interdependence strength, which implies the importance of protecting those interconnected nodes to reduce the consequences of cascading failures. Interdependent networks are most vulnerable under high-load attack, which shows the significance of protecting high-load nodes.     

How to implement a knowledge graph completeness assessment with the guidance of user requirements

In the context of big data, many large-scale knowledge graphs have emerged to effectively organize the explosive growth of web data on the Internet. To select suitable knowledge graphs for use from many knowledge graphs, quality assessment is particularly important. As an important thing of quality assessment, completeness assessment generally refers to the ratio of the current data volume to the total data volume.When evaluating the completeness of a knowledge graph, it is often necessary to refine the completeness dimension by setting different completeness metrics to produce more complete and understandable evaluation results for the knowledge graph.However, lack of awareness of requirements is the most problematic quality issue. In the actual evaluation process, the existing completeness metrics need to consider the actual application. Therefore, to accurately recommend suitable knowledge graphs to many users, it is particularly important to develop relevant measurement metrics and formulate measurement schemes for completeness. In this paper, we will first clarify the concept of completeness, establish each metric of completeness, and finally design a measurement proposal for the completeness of knowledge graphs.     

一种基于独立成分分析的滚转弹姿态解算

为了获取试验弹的飞行姿态,以便为进一步的弹体飞行动力学分析及制导系统的效能评估提供依据,提出了一种基于独立成分分析(independent component analysis,ICA)的滚转弹飞行姿态获取方法。该算法使用一个双轴角速率陀螺构成滚转弹飞行姿态遥测系统,利用ICA算法对遥测数据进行处理,从而重构弹体飞行姿态。通过构造一个特殊的虚拟观测变量,即可借助于ICA算法将测量信号由弹体坐标系变换至准弹体坐标系,去除由于弹体滚转引入的信号调制效应,最终解算出滚转弹的姿态信息。仿真计算结果验证了算法的有效性。     

Objective Bayesian analysis of degradation model with respect to a Wiener process

This paper proposes an objective Bayesian method to study the degradation model with respect to a Wiener process. The Jeffreys prior and reference prior for the parameters are derived, and the propriety of the posteriors under these priors is validated. Two sampling algorithms are introduced to compute the posteriors. A simulation study is conducted to investigate the performance of the objective Bayesian procedure. Finally, the authors apply the approach to a degradation data.     

淮北滨海地区生土农田养分产投分析

在江苏淮地区的新垦土生荒土上,对水稻－小麦－水稻、水稻－油菜－水稻、水稻－绿肥－水稻３种种植模式不同施肥下的氮、磷、钾产投入与土壤肥力关系进行了分析,结果表明：在生荒土上,随着各植年限的增加,氮、磷的产股比有 大的提高。三季种植后,土壤有机质净增量与有机质投入量,总投氮与土壤全氮、碱解氮,总投磷量与土训速 效磷,总投钾量与速效钾呈显著正相,肥料投入对土土壤肥力演变起决定性作用,表６,参１２。     

Systemic Action Research as a Strategy to Face the Institutionalization of Participatory Approaches: a Case Study in the Basque Country

Systemic Practice and Action Research - Institutionalization is one of the challenges met by action research (AR) processes aiming at structural changes in society, but what institutionalizing AR...     

Action Research as a Method to Find Solutions for the Burden of Caregiving at Hospital Discharge

Systemic Practice and Action Research - The role played by family caregivers in delivering long-term care is crucial: they enhance the quality of care perceived by the patients and support the...