信号级协同计算平台架构及应用思考

针对智能化作战对军事电子信息系统计算能力提升的迫切需求，结合云计算的资源虚拟化、大数据的分布式计算等技术，提出了基于嵌入式CPU+ALL（DSP、FPGA、PPC、GPU、AI处理器等）的异构处理的信号级协同计算平台架构，包括弹性、轻量级异构资源虚拟化模型、分布式实时计算框架和智能计算框架等，形成了一套架构统一、资源共用、使用简便的协同计算和智能计算环境。通过战术级无线电认知和智能信号与信息处理两个典型应用场景，探讨了该信号级协同计算平台可能带来的颠覆性效用。     

Real-time co-creation and nowness service: lessons from tourism and hospitality

Brands take advantage of technology, social media and constant connectivity to foster organic consumer engagement and interactions towards co-creating personalised customer service. Real-time service offers dynamic engagement with connected consumers. Brands in tourism and hospitality use technology to dynamically enhance consumer experience through co-creation. The integration of real-time consumer intelligence, dynamic big data mining, artificial intelligence, and contextualisation can transform service co-creation by mobilising recourses in the ecosystem. Nowness service emerges by dynamically engaging consumers in experience cocreation in real time. It has five interconnected characteristics that revolutionise the tourism and hospitality, namely: real-time, co-creation, data-driven, consumer-centric and experience co-creation.     

Fuel consumption for various driving styles in conventional and hybrid electric vehicles: Integrating driving cycle predictions with fuel consumption optimization*

Improving fuel economy and lowering emissions are key societal goals. Standard driving cycles, pre-designed by the US Environmental Protection Agency (EPA), have long been used to estimate vehicle fuel economy in laboratory-controlled conditions. They have also been used to test and tune different energy management strategies for hybrid electric vehicles (HEVs). This paper aims to estimate fuel consumption for a conventional vehicle and a HEV using personalized driving cycles extracted from real-world data to study the effects of different driving styles and vehicle types on fuel consumption when compared to the estimates based on standard driving cycles. To do this, we extracted driving cycles for conventional vehicles and HEVs from a large-scale U.S. survey that contains real-world GPS-based driving records. Next, the driving cycles were assigned to one of three categories: volatile, normal, or calm. Then, the driving cycles were used along with a driver-vehicle simulation that captures driver decisions (vehicle speed during a trip), powertrain, and vehicle dynamics to estimate fuel consumption for conventional vehicles and HEVs with power-split powertrain. To further optimize fuel consumption for HEVs, the Equivalent Consumption Minimization Strategy (ECMS) is applied. The results show that depending on the driving style and the driving scenario, conventional vehicle fuel consumption can vary widely compared with standard EPA driving cycles. Specifically, conventional vehicle fuel consumption was 13% lower in calm urban driving, but almost 34% higher for volatile highway driving compared with standard EPA driving cycles. Interestingly, when a driving cycle is predicted based on the application of case-based reasoning and used to tune the power distribution in a hybrid electric vehicle, its fuel consumption can be reduced by up to 12% in urban driving. Implications and limitations of the findings are discussed.     

Corporate association strategies and consumer responses: The relative effectiveness of CA versus CSR communication strategy by industry type

Given the importance of communication in the realm of corporate associations, this study analyzes the roles that communication strategies play in the formation of corporate associations. The study examines (1) whether particular types of associations (corporate ability or corporate social responsibility associations) can be developed through CA- or CSR-based communication strategies, and (2) the relative effectiveness of these two association types at amplifying favorable consumer responses across three different industries (consumable goods, durable goods, and stigmatized goods). An experiment was conducted to test the proposed model with six Fortune 500 companies. The results demonstrate that communication strategies can effectively facilitate a particular type of association. Differing levels of association effectiveness were found within each industry. For the consumable goods industry, CA associations are found to be more effective than CSR associations. For the durable goods industry, CSR associations are more influential at enhancing consumer attitudes and purchase intent than CA associations, while CA associations have a larger impact on supportive communication intent. In the case of the stigmatized industry, CSR associations play a determinant role in fostering positive consumer responses. This study provides managers and communication specialists with more concrete guidance for choosing a particular corporate positioning and communication strategy.     

The impact of accounting restatements on corporate innovation strategy

This study examines the effect of accounting restatements on corporate innovation strategy. Using a sample of restating firms and propensity-score-matched non-restating firms from 2000 to 2009, we find that, after restatements, restating firms experience a greater increase in exploratory innovation and a greater reduction in exploitative innovation compared to non-restating firms. These results suggest that restating firms are associated with an increased risk appetite as managers believe the upside potential may yield corporate improvement. The results also differ between fraudulent and non-fraudulent restatements, and among restatements of varying severity. The results of this study shed light on a previously unexplored consequence of accounting restatement and highlight its real impact on corporate business strategy.     

The Use of Different Endorser Types in Advertising: A Content Analysis of Magazine Advertisements

Most of the literature assumes that endorsements, particularly by celebrities, are a frequently used advertising strategy. However, no study has yet investigated the use of the different endorser types identified by academic literature. This study seeks to close this research gap by analyzing German print advertisements. It finds that endorsement strategy in general is used much less than academic literature assumes, and that the relative significance of the different endorser types is incongruent to expectations. Moreover, the data suggest that, contrary to the literature's assumptions, credibility is not the most important underlying construct for endorsement advertisements, the endorser type used is frequently determined by the product category that is being advertised, and campaigns based on authenticity and similarity are gaining considerable importance in advertising practice.     

Exploring heritage tourism performance improvement for making sustainable development strategies using the hybrid-modified MADM model

Industrial heritage tourism has become increasingly popular in recent years. However, strategies for improving the industrial heritage tourism development-related performances are still an underdeveloped research topic academically. Therefore, this study’s purpose is to explore the feasibility performance-improving strategies using a hybrid-modified multiple attribute decision-making (MADM) based on the DEMATEL technique in constructing the influential network relation map (INRM) and in determining the influential weights of DANP. Then, the modified VIKOR method is combined with the influential weights of DANP, performance gaps were identified, and then the most effective strategies for improving tourism development-related performance at industrial heritage sites can be generated using INRM. Finally, an empirical real case study of a rehabilitated gold-mining site of Taiwan is used to demonstrate the effectiveness of the hybrid-modified MADM model. According to the results, the decision-makers should highly prioritize improving high-priority criteria such as ‘social usefulness’, ‘resource integration’, ‘destination policy and development’, ‘economic development’, ‘cultural links’, ‘cultural learning’, and ‘natural landscape resources’ in advance to successfully achieving the aspired performance levels. Additionally, this study suggests meaningful industrial heritage tourism performance improvement strategies that have been rehabilitated throughout the world.     

高校新农村研究院：科技支撑乡村振兴的有效载体

[目的]较之前开展的新农村建设,乡村振兴战略是一种更高层次的发展手段和目标。文章旨在对高校新农村研究院推动乡村振兴的实践经验和困难问题进行梳理,分析背后的成因与制约因素,以期为以高校新农村研究院为抓手、从科技引领和支撑的角度推动乡村振兴战略的落地实施提供有针对性的建议。[方法]该文从协同创新理论出发,基于对沈阳农业大学新农村发展研究院的实地调研,采用文献梳理、归纳总结和定性分析等方法对高校新农村研究院为乡村振兴战略提供科技支撑的机理、模式、作用和困难问题进行了梳理。[结果]高校新农村发展研究院通过整合政府、高校、企业等多方资源,从技术协同、人才协同与理念协同3方面为乡村振兴提供了有效支撑。但目前各级政府对高校新农村研究院的作用地位还缺乏充分认识,存在财政支持不到位、技术推广激励与考评机制不完善等问题。[结论]整合各方科技创新资源,构建起各类主体跨界协同、不同技术集成应用、创新资源全链配置、关联产业融合发展的新型农业科技协同创新体系;进一步强化高校新农村发展研究院在农业科技服务中的主体地位,增强财政对新农村发展研究院的持续投入,改革高校农技推广人员职称评定与考核激励机制。     

Technologies in caregiving: professionals’ strategies for engaging with new technology

This article explores the adoption of new technology in organisations that provide senior citizen care. Inspired by Niklas Luhmann’s systems theory, we study how technology reduces complexity by identifying client needs and ensuring predictability in service delivery. However, how technologies are adopted in practice is not determined by technology since it is also structured by care-workers' continuous decision-making. Against this backdrop, we explore how technologies alter the conditions for decision-making in two settings of elderly care, and we describe how care workers seek to adapt technologies to their practical needs as well as conception of care ethics. Developing a systems theory approach, the article eschews a priori assumptions of technological constraint on care-workers’ professional autonomy, offering a more open-ended exploration of diversified strategies for coping with new technology. Our case studies show that employees develop diversified strategies for technology adoption, including both non-usage, heated resistance, excessive embrace, and creative adaption.