基于瞬时频率畸变特性的FSK电台指纹特征提取

为解决FSK电台个体识别问题,需要从辐射源信号上提取特征构成辐射源指纹。通过 分析构成FSK电台的各个模块的畸变特性,阐明了FSK电台指纹产生机理,建立了基于瞬时频 率的指纹信号模型,并根据信号模型设计了基于辅助参数的最小二乘算法以完成FSK频率畸 变特性参数的估计,从而构建指纹特征完成对FSK电台的识别。对仿真信号和实际信号的识 别测试试验表明,该算法具备辐射源个体识别能力,对实际环境下的4个FSK电台的识别率大 于96%,优于双谱类方法。     

接收机畸变对辐射源指纹识别的影响

在辐射源个体识别技术应用中，接收机指纹和发射机指纹相互影响相互耦合，造成辐射源指纹库依赖于特定接收机，无法在不同接收机之间通用。针对此问题，对典型超外差接收机的滤波器、放大器畸变分量对接收信号指纹的影响进行了理论分析与实验验证。理论分析证明发射机和接收机的滤波器、放大器分量对于接收信号整体的畸变影响是等价的；实验中，利用两台超外差接收机对5台发射机进行个体识别测试验证，更换接收机前后，滤波器、放大器特征识别正确率分别从100%、95.5%降到20%，证明了接收机畸变分量对发射机指纹识别具有严重影响。该研究成果可为后续辐射源个体识别接收机设计以及接收机畸变校正提供理论依据。     

基于对角切片特征提取和深度学习的辐射源识别

针对复杂电磁环境下辐射源识别率低的问题,提出基于对角切片特征和深度学习的辐射源识别算法。利用辐射源信号双谱的个体特性,提取信号双谱对角切片特征作为深度学习模型的输入数据,采用Softmax分类器进行辐射源识别。仿真实验利用两部同型辐射源进行测试,结果表明该算法能识别个体辐射源,在低信噪比条件下也能获得高的辐射源识别率;相比于其他识别算法,双谱对角切片特征有更鲁棒的分辨性。     

一种敌我识别辐射源暂态信号指纹特征提取方法

信号的指纹特征是辐射源个体识别的重要依据。针对敌我识别辐射源的个体识别问题，提出了一种基于双树复小波和多重分形的信号暂态特征提取方法。该方法通过双树复小波变换实现信号多分辨率分解，求解分解信号Hilbert谱的信息熵和指数熵，计算信号的多重分形奇异指数和谱值，最终组成表征辐射源的特征向量。通过实验验证，提取的特征向量能充分代表辐射源个体之间的差异；被测信号的信噪比满足8 dB或9 dB的条件时，对辐射源的识别正确率能达到90%以上。统计分析表明该方法提取的特征具有很高的稳定性。     

一种基于位同步的复杂调制样式识别方法

针对卫星数字化视频广播第二代标准（Digital Video Broadcasting-Satellite -Second Generation,DVB-S2）中的多进制幅度移相键控（Multiple Amplitude and Phase-Shift Keying,MAPSK）和多进制正交幅度调制（Multiple Quadrature Amplitude Modulation,MQAM）信号的调制识别,提出了基于位同步的识别方法。首先利用信号星座图特征对信号包络进行位同步,然后统计信号码元的幅度值个数及其幅度值分布提取统计特征参数,最后利用特征参数完成识别。仿真结果表明,所提算法在载波频率等参数未知的条件下,能够有效对信号进行调制识别。     

一种改进的BPSK/QPSK信号调制识别算法

提出了一种基于顺序统计量特征的二进制相移键控/正交相移键控（BPSK/QPSK）信号调制识别算法。对观测信号进行平方并做离散傅里叶变换运算，将变换结果取模后去除最大值得到修正频谱，并取修正频谱的最大值作为识别特征量，利用恒虚警准则确定判决门限，将识别特征量与门限比较来完成对BPSK和QPSK两种调制信号的识别。计算机仿真表明，当信噪比适度时，所提算法可对BPSK及QPSK两类信号进行有效识别。当信噪比大于1 dB时，算法的平均识别正确率达到90%以上。     

一种稳健的通信辐射源个体识别方法

通信辐射源个体识别是目前通信对抗领域研究热点与难点问题,相对于雷达辐射源,通信辐射源信号弱、瞬时特征不明显导致个体识别更复杂、更困难。利用通信辐射源信号的长时谱统计特性,提取信号功率谱峰值特征和包络模板,构造通信辐射源个体特征向量,通过朴素贝叶斯分类算法与个体特征矢量相结合,在训练样本数目足够大的条件下可进行有效识别。测试实验表明,识别方法稳健有效,可在信噪比5 dB情况下实现93.7%的正确识别概率。     

利用指数范数的QAM信号调制识别方法

针对高阶正交幅度调制（QAM）类信号的调制识别问题，提出了一种利用指数范数的调制识别分类方法，实现了由5种QAM类信号所组成信号集的调制识别。首先，对信号集内待识别信号提取指数范数特征，依次将16QAM和32QAM信号从信号集内识别出来；然后，对信号集内剩余信号提取高斯指数范数特征，依次识别64QAM、128QAM和256QAM信号；最后，根据决策树原理设计分类器，实现信号集内5种QAM类信号的识别。仿真结果表明，在信噪比大于6 dB时，该方法对信号集内的信号的识别正确率超过96%。     

一种基于高阶累积量的复杂调制样式识别方法

针对卫星数字化视频广播第二代标准（Digital Video Broadcasting-Satellite-Second Generation,DVB-S2）中多进制幅度移相键控（Multiple Amplitude and Phase-Shift Keying,MAPSK）和多进制正交幅度调制（Multiple Quadrature Amplitude Modulation,MQAM）信号的调制识别,提出了基于高阶累积量的识别方法。首先对16QAM、32QAM、16APSK、32APSK信号的高阶累积量及其特征进行分析,进而利用其高阶累积量的不同提取用于信号分类的特征参量进行调制识别。给出了算法的详细流程,并对算法进行了仿真分析,结果表明,当样本数越多时,算法信噪比适应能力越好,而与相位偏差无关;在信号样点数为2 048点且信噪比为10 dB时,算法可实现96%的正确识别率,完全满足实际系统对信号分类的需要。     

一种欠完备自编码器调制识别技术

基于信号特征进行模式识别的调制识别方法需要先计算信号的高阶特征、高阶累积量再进行模式识别，整体设计复杂，特征不易计算。机器学习技术由于其强大的特征提取能力和分类能力，被广泛应用到模式识别领域中。针对调制识别问题，提出了一种基于欠完备自编码器的调制识别技术，使用欠完备自编码器进行调制信号的特征自动提取，再使用神经网络分类器进行分类识别。整体模型更为简洁，运算复杂度较低，有利于部署在硬件上进行实时识别。对常见的BPSK、QPSK、2ASK、2FSK、16QAM数字调制方式进行的识别实验表明，算法在信噪比10 dB时平均识别率高于0.97，并且在信噪比为0 dB时仍然有0.92以上的平均识别率。     

国际贸易出口业务风险识别程序研究

随着我国成功加入WTO,我国对外贸易得以迅猛发展,但是国际贸易中存在着各种风险也日益凸现出来,其中国际贸易出口业务流程各个环节中的各种风险较为突出,因此应对此类风险加以识别、进行分类描述、分析出原因、推导出可能的结果,从而建立起国际贸易中出口业务风险识别程序。     

Determinants of organisational identification and supportive intentions

Abstract

Organisational identification is the perception of belongingness to an organisation and a sense of oneness with the organisation. Identification has long been recognised as having important implications for the sense of satisfaction and belonging of employees and for the effectiveness of the organisation. Our research examined the impact of students' identification with a university on intentions to support the university. Drawing data collected at three different universities in Korea, the researchers investigated: (1) the effect of students' identification with athletic programmes and their academic department on identification with a university and intentions to support a university; and (2) the effect of identification with a university on intentions to support the university. Three hundred and six university students participated in the study. Structural equation modelling (i.e. LISREL) was employed to test the causal relationships among the hypothesised relationships. Results showed that identification with both athletic programmes and academic department had strong effects on intentions to support the university. In addition, those who identified with the university showed strong intentions to support the university. The results of the study indicate that individuals who identify with the organisation are apt to support it in various ways, and that identification can be encouraged through various means. The findings of this study may also suggest some important implications for marketing managers and their organisations.     

雷达辐射源分类识别方法综述

阐述了雷达辐射源识别研究的必要性，详细介绍了现有雷达辐射源基本分类识别方法，系统梳理了现有分类识别技术的优缺点，合理分析了多、大且杂的电磁环境下雷达辐射源识别研究趋势，提出将深度学习与雷达辐射源识别全面结合，实现雷达辐射源识别智能化。     

The Relationships Among Manager-, Employee-, and Customer-Company Identification: Implications For Retail Store Financial Performance

Based on the premise of an interpersonal “chain of influence” with respect to organizational identification, we posit a relationship between company managers, employees, and customers with respect to organizational identification with the retailer. Specifically, we hypothesize that the level of a store manager's identification with the retailer is positively related to the level of their store employees’ identification with the retailer, which in turn is positively related to the level of customers’ identification with the retailer, which results in increased levels of store financial performance. We investigate these relationships using data from 306 retail stores within a single retail chain.     

How Pretrial Expectations and Anticipated Obstacles Impact University Brand Identification

ABSTRACT

Despite the growing interest in brand identification as a mechanism of soliciting organizational citizenship behaviors, little is known about the role of expectations and anticipated obstacles as antecedents of the construct. To address this gap, this study examines antecedents of brand identification including academic and social expectations as well as academic, financial, and personal obstacles in first-time incoming first-year college students. Results align with the theoretical underpinnings of brand identification, namely social identity theory, by showing that social expectations explain far more variance in brand identification than the other antecedents in the model. The resulting insights provide guidance to administrators on the pretrial consumer perceptions of students that correlate with brand identification.     

It is not merely a chat: Transforming chatbot affordances into dual identification and loyalty

Artificial intelligence (AI)-powered service chatbot functionality is changing to more effectively connect with customers in the era of digital marketing. As such, an understanding of how to enhance user perceptions and behaviors through interface design has become crucial. Using affordance actualization theory and social identity theory as a theoretical lens, this study explored how chatbot affordances affect consumer brand loyalty. Data were collected from 369 respondents who had at least one conversation with AI chatbots from a predetermined list of banks in Taiwan; the collected data were then analyzed using structural equation modeling. The results revealed that anytime–anyplace connectivity, information association, visibility, and interactivity affordances provided by chatbots positively influenced chatbot exploitation, which in turn affected perceived brand competence and perceived brand warmth. Furthermore, perceived brand competence influenced customer–chatbot identification and customer–brand identification, whereas brand warmth influenced customer–brand identification. Customer–chatbot identification also influenced brand loyalty both indirectly—through customer–brand identification—and directly. These findings are useful for assisting managers in various industries in the application of AI technologies to implement digital transformation strategies and improve customer services.     

企业组织创新过程中风险的识别研究

风险管理一直是管理中的重点和难点问题。在对组织创新研究的基础上 ,采用流程图法和环境分析法相结合的一种综合辨识方法 ,通过对组织创新过程的分解细化 ,对组织创新过程中的风险进行了深入的识别研究 ,以便提高组织创新成功的机会和减少风险所产生的后果。     

使用近红外OPUS IDNET软件定性分析鉴别废塑料

利用近红外漫反射光谱法获取不同种类废旧塑料的近红外光谱图,运用近红外OPUS IDNET软件对相应的光谱图进行处理并建立定性鉴别模型,这些模型能有效地鉴别塑料的种类。近红外光漫反射光谱法能够实现对废旧塑料的快速无损分析,为区分不同种类废旧塑料提供了一个客观的评价方法。     

集体主义人力资源管理与员工积极、消极互惠：组织认同与关系认同的中介差异

积极互惠与消极互惠是互惠行为中概念相对的重要组成,文章从集体主义人力资源管理出发,比较其对两种互惠行为的影响,并以组织认同、关系认同作为中介变量研究其中介差异。研究结果显示,集体主义人力资源管理可以提升员工的积极互惠,降低员工的消极互惠,而积极互惠与消极互惠也并非负相关。此外,尽管组织认同、关系认同分别发挥了中介作用,但当整体考虑时,在集体主义人力资源管理与积极互惠间,由组织认同发挥中介作用,为部分中介;而在集体主义人力资源管理与消极互惠间,由关系认同发挥中介作用,为完全中介。说明同属互惠行为,积极互惠、消极互惠存在不同的前因机制;同属认同,组织认同、关系认同存在不同的影响机制。本研究对于集体主义下的管理实践,尤其是对组织内互惠行为、认同现象的整体性思考有重要意义。     

海外收购专利IP 风险（因素）识别方法研究

风险识别是风险管理的基础。研究海外收购专利IP风险(因素)识别方法,为良好的IP风险管理所必须,对成功的专利收购具有重要意义。本文基于管理实践总结海外收购专利IP风险(因素)识别原理,提出一套"商业目标、系统方法、识别工具和循证实践"的系统识别方法,以防止对目标企业专利IP风险(因素)识别出现重大遗漏,确保海外投资的安全。