基于多项式拟合频率重构的物理不可克隆函数优化

近年来硬件安全不断受到挑战,具有不可预测性、随机性等特性的环形振荡器物理不可克隆函数（Ring Oscillator Physical Unclonable Function,RO PUF）可作为硬件安全重要的加密密钥方式,但通常原始RO PUF不满足加密密钥对随机性的要求。因此,提出了基于多项式拟合频率重构的PUF优化方法。首先,实现RO电路的硬宏设计并在现场可编程门阵列(Field Programmable Gate Array,FPGA)上进行实例化,从而获得RO阵列的频率数据;其次,针对原始响应的随机性较差的情况,通过统计分析其分布特征,利用多项式拟合法优化重构RO阵列频率;最后,采用熵密度值评估RO PUF响应的随机性。选用型号为Xilinx Artix 7103的FPGA板进行实验测试评估,结果表明所提方法不仅比原始RO PUF响应的随机性强,而且与随机补丁混合法(Random Patch Mixer,RPM)和基于回归的熵蒸馏法相比也具备更好的随机性。     

一种锁相频率合成系统的设计

本文结合国家责任法中反措施的相称性原则归纳了WTO中仲裁裁决中所反映的反措施实践。在WTO法律中,《补贴与反补贴措施协定》(SCM)第4.10、第4.11条中的反措施、《关于争端解决规则与程序的谅解》(DSU)第22.4条的中止减让措施在WTO司法实践中和学理上被视为国家责任法中的反措施。SCM第4.10、第4.11条对反措施规定了"适当"这样的限制;DSU第22.4条对中止减让措施规定了"等同"限制。此二种限制就是反措施的相称性要求。在SCM中,"适当性"要求是定性的描述,以目的论作为标准,如果中止减让能够使被诉一方撤回补贴或消除不利影响,则就是适当的。在DSU中,"等同性"必须以"抵消或受损"的水平来衡量,是量化标准。对二者进行比较,"适当性"标准不是严格的相称性,只要不是"不成比例"就可接受。这两种相称性最终都是通过数量来表现的。     

Additive omnichannel atmospheric cues: The mediating effects of cognitive and affective responses on purchase intention

In today's channel-centric retail ecosystem the right mix and orchestration of online and offline stimulus is paramount towards providing an optimal store atmosphere and shopping experience. Applying the S-O-R framework, this research explores additive omnichannel atmospheric cues stimuli, in order to discover their impact on affective (i.e., pleasure, arousal and dominance) and cognitive (i.e., store environmental quality perception) states and their consequential effect on consumer responses in the form of purchase intention. Employing a four-condition repeated measures experimental design in a physical store, utilizing mobile, IoT and social media channels (Study 1), as well as a between-subjects online lab experiment (Study 2), this research sheds light into the affective and cognition-mediated causal mechanisms that influence shopping outcomes. This work reveals that combining stimulus from all retail channels within the physical store (i.e., omnichannel atmospheric cues) increases consumers' pleasure, arousal and the quality of the environment as a whole, which in turn positively influences purchase intention. However, the impact of dominance is only prominent at the more controlled, laboratory setting, in which purchase intention increases while dominance attenuates.     

Exploring the core factors of online purchase decisions by building an E-Commerce network evolution model

With the continuous development of the Internet and information technology, online shopping has become a popular purchase mode. The in-depth analysis of consumer decision-making in online shopping is an important issue. Our purpose is to study how the factors of the shopping web pages corporately affect online purchase decisions and determine which are the core factors that affect consumer purchase decisions. We screen the influencing factors on the shopping webpage and deploy e-commerce network evolution based on various weight combinations of these factors to generate sales distributions of online products. By comparing these simulated sales distributions to the real data, the optimal weight of each factor is obtained. The results show that sales volume and the number of high-quality negative comments are the most important factors influencing consumers' decision-making, the number of comments and the number of comments with pictures are relatively minor factors, store type and video presentation of the products have the least impact. The optimal simulated sales distribution is very close to the real case and verifies that the introduced network evolution technology is applicable. The proposed model can be used as a uniform evaluation platform for correlational study, which is an important link in the purchase research chain.     

How to retain customers in omnichannel retailing: Considering the roles of brand experience and purchase behavior

The opportunities and challenges of omnichannel in retail industry have been widely discussed, yet despite these benefits, the key elements that constitute an effective omnichannel and how customers respond to omnichannel retailing strategies remain unclear. This research conducted online surveys to test the effects of omnichannel elements on various brand experiences and customer retention, considering the moderating role of purchase behavior. The results indicate that omnichannel elements (integration, individualization, and interaction) are generally helpful in retaining customers, through omnichannel elements influence brand experiences differently. In addition, these omnichannel elements have different influences on customer retention due to different purchase behaviors. The findings suggest that retailers can use different omnichannel strategies to attract customers’ purchases and provide insights for practitioners who want to use omnichannel strategies to deliver superior experiences for customers.     

Increase hedonic products purchase intention through livestreaming: The mediating effects of mental imagery quality and customer trust

Although online retailing is applying livestreaming to promote both hedonic and utilitarian products, the differential effectiveness of utilizing this tool across the two types of products is still unclear. With an online experiment, the study found that livestreaming (vs. traditional e-commerce) is more effective in boosting hedonic products while making no difference in increasing purchase intentions of utilitarian products. By running a moderated serial mediation analysis, the research also demonstrated the underlying mechanism that livestreaming could significantly enhance mental imagery quality and customer trust in hedonic rather than utilitarian products. Therefore, our research has discovered an important boundary condition for the livestreaming effect and also the mechanism for the success of utilizing livestreaming to boost hedonic products. Considering the indiscriminate use of livestreaming regardless of product types and the huge amounts of resources required to sustain livestreaming, the study not only provides a theoretical glimpse of where livestreaming is more effective and why, but also practical insights as to how to apply livestreaming to different types of products and how to leverage mental imagery and customer trust to achieve business growth in an online retailing context.     

跳频信号的归一化多普勒频差最大似然估计

针对双站定位涉及的跳频信号多普勒频差估计问题,提出了归一化的频差最大似然估计算法,利用两个定位站接收到的跳频脉冲串信号,构建一个关于基准跳频频率多普勒频差的似然函数,通过网格搜索得到使似然函数最大的多普勒频差估计,既解决了跳频信号在不同跳频频率上多普勒频差不一致的问题,又充分利用在不同频率的脉冲串信号提高了多普勒频差估计精度。通过仿真对算法的性能进行了评估,结果表明,与基于子空间的算法比较,在脉冲数达到240个时,所提算法执行效率提升30%以上。     

The role of perceived product quality and overall satisfaction on purchase intentions

The study investigated the effects of perceived product quality and overall satisfaction on purchase intentions. Moreover, the direct and indirect effects of values and involvement on purchase intentions were studied. The study utilized the survey questionnaire and used sport shoes as the product being researched. The sample consisted of 197 students who responded to an anonymous questionnaire. Five hypotheses were tested and four of them were confirmed by the data. Perceived quality had a direct and an indirect effect (through overall satisfaction) on purchase intentions, overall satisfaction had a direct effect on purchase intentions and involvement had an indirect effect on purchase intentions through overall satisfaction and perceived quality. The results of the study provide several theoretical and practical implications.     

国外基于射频标识技术的战场识别系统发展现状

介绍了射频标识（RF Tag）技术的基本原理、在战场目标识别领域的应用及部分验证试验的情况。     

多用户MIMO-OFDM系统中一种子载波分配算法

介绍了多用户MIMO-OFDM系统中的Hungarian子载波分配算法，然后针对其计算复杂度过高的缺陷，提出一种局部最优的子载波分配算法，并与Hungarian子载波分配算法进行仿真比较。结果表明，该算法使系统总数据速率仅下降1．7％，而其计算复杂度却大幅减小，提高了资源分配的效率，符合高速无线系统资源实时分配的要求。