电源SPD检测中连接线问题的解决方法

在日常SPD检测过程中,经常会遇到SPD两端连接线问题而达不到国家规范要求的情况。本文针对现场检测SPD遇到的问题,分析SPD接线方式对防雷效果的影响,提出解决方法。     

基于指挥信息系统的通信部队指挥应用分析

随着指挥信息系统在全军的广泛运用,指挥方式由传统的"树状"改变为"网状"、"扁平状"。然而现通信部队在开展指挥信息系统训练、应用上还存在一定的短板,在提高整个部队的指挥能力上无法提供高效支持,文章对通信部队的指挥信息系统在实际运用上进行了初步分析,并指出了目前存在的不足,对如何提高通信部队利用指挥信息系统提高整体作战能力提出了对策和建议,对提高指挥信息系统在实际中的应用具有积极意义。     

基于多维频谱地图的干扰规避

针对复杂电磁环境下卫星移动通信系统可靠通信需求，利用频谱地图多维数据呈现优势，提出了基于多维频谱地图的干扰规避方法。通过建立卫星移动通信系统波束、时隙、子频带、干扰强度等多维信息关联的频谱地图，利用数据挖掘方法对频谱可用情况进行预测，基于预测结果及用户QoS(Quality of Service)需求生成干扰规避策略，通过星地联合频谱资源调配实现系统干扰规避。该方法为卫星移动通信系统干扰规避提供了一种全新的思路，可提升卫星移动通信系统干扰防护能力。     

Optimal insurance under rank‐dependent utility and incentive compatibility

Bernard, He, Yan, and Zhou (Mathematical Finance, 25(1), 154–186) studied an optimal insurance design problem where an individual's preference is of the rank‐dependent utility (RDU) type, and show that in general an optimal contract covers both large and small losses. However, their results suffer from the unrealistic assumption that the random loss has no atom, as well as a problem of moral hazard that provides incentives for the insured to falsely report the actual loss. This paper addresses these setbacks by removing the nonatomic assumption, and by exogenously imposing the “incentive compatibility” constraint that both indemnity function and insured's retention function are increasing with respect to the loss. We characterize the optimal solutions via calculus of variations, and then apply the result to obtain explicitly expressed contracts for problems with Yaari's dual criterion and general RDU. Finally, we use numerical examples to compare the results between ours and Bernard et al.     

Pareto-undominated and socially-maximal equilibria in non-atomic games

This paper makes the observation that a finite Bayesian game with diffused and disparate private information can be conceived of as a large game with a non-atomic continuum of players. By using this observation as its methodological point of departure, it shows that (i) a Bayes–Nash equilibrium (BNE) exists in a finite Bayesian game with private information if and only if a Nash equilibrium exists in the induced large game, and (ii) both Pareto-undominated and socially-maximal BNE exist in finite Bayesian games with private information. In particular, it shows these results to be a direct consequence of results for a version of a large game re-modeled for situations where different players may have different action sets.     

Effects of crisis response tone and spokesperson's gender on employer attractiveness

Timely apologies to key publics on social media are becoming an important aspect of crisis recovery but little is known of how the spokesperson’s characteristics and the tone of apology may influence the outcome. Recognising the importance of the need to attract quality workforce, this study examines the impact of social media response to a preventable crisis on organisational attractiveness. Specifically, a 2 (message tone: corporate/formal vs. human/informal) x 2 (spokesperson’s gender: male vs. female) between-subjects factorial design was used to test the effectiveness of an apology. The results suggest a significant moderated mediation effect. We find that account acceptance mediates the relationship between message tone and organisational attractiveness, and this effect is conditional on gender of the spokesperson. The results are relevant to crisis managers and brand managers that seek to attract and retain talents.     

Effects of subject pool culture and institutional environment on corruption: Experimental evidence from Albania

This research uses experimental methods to investigate whether subject pool culture and institutional environment have an effect on participants’ corrupt behavior in the laboratory. While we find that subject pool culture does not affect the overall magnitude of corruption of laboratory participants, it does affect the likelihood of corruption and its distribution. Additionally, we find that the effect on corrupt behavior differs with the framing of the experiment’s instructions. Interestingly, in the context of a weak rule of law and high levels of corruption, loaded negative instructions positively affect corrupt behavior of firms and public officials. Previous research in the context of a country exhibiting a strong rule of law and low levels of corruption finds no framing effects. We also find that increasing the probability of detection significantly reduces corruption as measured by the amount of the bribes offered/accepted and the probability of offering/accepting a bribe. Finally, we find that individual risk preferences negatively affect the level of corrupt behavior.     

The micro-foundations of strategic ambidexterity: Chinese cross-border M&As,Mid-View thinking and integration management

Chinese cross-border mergers and acquisitions (M&As) display several unique properties in relation to the ways in which their international business operations are organised and managed. Their seemingly puzzling ‘light-touch’ integration approach can be significantly understood from a strategic ambidexterity perspective: on the one hand, the ‘light-touch’ enables the exploitation of the targets’ existing knowledge bases; on the other hand, elements of the ‘light-touch’ facilitate the exploration of the new knowledge arising from the collaboration between targets and acquirers. However, an important theoretical gap remains: why do Chinese companies deploy such a strategic ambidexterity approach in their post-acquisition integrations? This paper aims to fill this gap by proposing Mid-View thinking as a micro-foundation of strategic ambidexterity in integration management from a cultural and philosophical perspective. To illuminate our conceptualization and argument, we conducted qualitative in-depth interviews with CEOs/high-level managers of acquired German companies. Communication approach and organizational control—as two critical aspects in integration management—reveal how Mid-View thinking can serve as a micro-foundation of strategic ambidexterity. We conclude this paper by presenting its theoretical contributions, managerial implications, and future research directions.     

Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets

Bankruptcy prediction is still important topic receiving notable attention. Information about an imminent bankruptcy threat is a crucial aspect of the decision-making process of managers, financial institutions, and government agencies. In this paper, we utilize a newly acquired dataset comprising financial parameters derived from the annual reports of small- and medium-sized companies. The data, which reveal the true ratio between bankrupt and non-bankrupt companies, are severely imbalanced and only contain a small fraction of bankrupt companies. Our solution to overcome this challenging scenario of imbalanced learning was to adopt three one-class classification methods: a least-squares approach to anomaly detection, an isolation forest, and one-class support vector machines for comparison with conventional support vector machines. We provide a comprehensive analysis of the financial attributes and identify those that are most relevant to bankruptcy prediction. The highest prediction performance in terms of the geometric mean score is 91%. The results are validated on two datasets from the manufacturing and construction industries.     

利用改进特征金字塔模型的SAR图像多目标船舶检测

深度学习模型中的特征金字塔网络（Feature Pyramid Network，FPN）常被用作合成孔径雷达（Synthetic Aperture Radar，SAR）图像中多目标船舶的检测。针对复杂场景下多目标船舶检测问题，提出了一种基于改进锚点框的FPN模型。首先将特征金字塔模型嵌入传统的RPN（Region Proposal Network）并映射成新的特征空间用于目标检测，然后利用基于形状相似度距离（Shape Similar Distance,SSD）度量的Kmeans聚类算法优化FPN的初始锚点框，并使用SAR船舶数据集测试。实验结果表明，所提算法目标检测精确率达到98.62%，在复杂场景下与YOLO、Faster RCNN、FPN based on VGG/ResNet等模型进行对比，模型准确率提高，整体性能更好。