超磁致伸缩材料在骨传导听觉装置上的应用

超磁致伸缩材料(简称GMM)是制作低频换能器的理想功能材料。介绍了GMM的磁致伸缩机理及其本身特性;与传统磁致伸缩材料以及当前广泛应用在骨传导听觉装置上的电磁和压电材料进行了分析比较;综述了GMM在骨传导听觉装置上的应用现状;重点介绍了骨传导发音振子的设计构想,并且对超磁致伸缩式骨传导听觉装置在军事通信上的应用进行了展望。     

吸收式制冷工质对的研究进展

吸收式制冷的发展在当今节能与环保两大主题之下得到了人们高度重视,其中吸收式制冷工质对的发展作为吸收式制冷的核心技术尤其重要。文中列举了部分在吸收式制冷方向的热门课题,指出理论研究与实际应用问题的差距;根据制冷剂的不同将吸收式制冷工质对分为氨系、水系、醇系、氟系以及其它共五类,回顾这五类工质对的发展历程与现状,针对这五类中传统工质对的缺陷,探讨相应的优化措施和研究新型工质对,并且与传统工质对进行性能比较。重点介绍了NH3-Na SCN和NH3-LiNO3两对工质对的研究现状,比较两者在不同工况下的优缺点;介绍了以各类盐组合的方式替代Li Br来改善Li Br-H2O强烈腐蚀特性。在研究现状基础上指出了改进现有工质对性能和发掘新型工质对的研究方向。     

模块化高温气冷堆反应堆设计重点安全问题分析

本文介绍了模块化高温气冷堆的安全特点,对反应堆堆芯设计核安全审评重点关注的核安全问题进行了分析,并提出解决方案以供设计和审评人员参考。     

5G 移动通信技术军事应用研究

为加速推进5G 在军事领域的研究与应用,细化研究方法和实现途径,梳理分析5G 技术发展现状、架构 特点及关键技术。基于多视角梳理分析30 份美国5G 军事应用的政策文件;梳理并评述了国内学术界5G 军事应用 研究的进展和焦点,分析研究特点和短板弱项;提出了5G 军事应用的总体思路和整体框架,并基于“映射法”对 军事应用场景进行量化分析,最后给出建议与展望。结果表明,该研究可为5G 在军事领域的战略顶层设计、应用 优先级设置和建设研究实践提供参考。     

2014年云南冶金分析年评

评述了云南分析工作者2014年在国内刊物上发表的有关冶金分析的论文,内容包括综述、分离富集方法和分析检测方法。分析检测方法主要包括电化学分析法、分子光谱、原子光谱、滴定法和重量法、以及其它分析方法,引用文献58篇。     

2014年云南采矿年评

根据2014年云南矿业期刊和云南采矿界在全国矿业期刊和会议上发表的论文,以及有关云南矿业发展的论文,对矿业可持续发展等12个方面进行评述。     

施工图审查“周期长”问题分析与优化对策研究

审查周期长是施工图审查制度的一大弊端。本文根据施工图审查的现状,从多个角度分析施工图审查周期长的原因,给出相应的优化对策。     

Researcher understanding of food innovations in Nordic and Southern European countries: A systematic literature review

BackgroundThe capability of agro-food firms to innovate positively influences their profits and growth. Accordingly, the literature has tried to comprehend innovation phenomena occurring within the agri-food industry which generates high levels of economic output and employment in the European Union. Nonetheless, innovation in the food industry is deeply affected by cultural heritage, habits, and institutional contexts. Europe's considerable cultural variation causes different innovations in different regions. The most evident disparities in food cultures and gastronomic approaches have been observed between Nordic and Southern European countries. Despite ample interest in comparing these two European areas, few studies in the food innovation literature have adopted a comparative approach.Scope and approachThe authors aim to identify the main research streams that study food innovations in Nordic and Southern European countries, as well as the results provided by researchers. To achieve these objectives, we conducted a systematic literature review of 67 articles in the food innovation field.Key findings and conclusionsThe review recognises six main research streams along which the academic literature has organised its debate: innovation acceptance, innovation policy initiatives, innovation networks, innovation in traditional food products, alternative food systems, and convention theory. The authors discuss the results emerging from each research stream and also the different patterns that emerge in the literature between Nordic and Southern countries of Europe.     

基于分析软件“CiteSpace”的声景研究英文文献知识图谱分析

国外关于声景的探索经历了数十年的发展,对其进行系统梳理与总结对于中国声景研究具有重要的借鉴价值。文章以"Web of Science"核心数据库中近20年的相关英文文献作为研究对象,依托科学计量分析软件CiteSpace的知识图谱绘制功能,展现国外声景研究的学科及期刊分布特征、理论基础与研究热点。研究发现,国外声景研究呈现出明显的多学科特征。在研究热点上,从接续Schafer的理念、关注人类对声景的感知,到兼顾生物圈中非人类生物对声景的响应,再到以"格局-过程"为指导关注区域层面的声景生态特征与演变机制,是国外声景研究的主要发展脉络。声景研究框架的拓展使国外声景研究得以越来越全面和科学地解释和理解声景现象,并为声景实践的开展奠定了良好的基础。不足之处在于研究内容有待深化、研究学科有待融合、声景标准化建设有待加强、声景普及有待提高,而这也是国内声景研究实现跨越发展需要积极补足的方面。     

Deep learning methods for fingerprint-based indoor positioning: a review

ABSTRACT

Outdoor positioning systems based on the Global Navigation Satellite System have several shortcomings that have deemed their use for indoor positioning impractical. Location fingerprinting, which utilizes machine learning, has emerged as a viable method and solution for indoor positioning due to its simple concept and accurate performance. In the past, shallow learning algorithms were traditionally used in location fingerprinting. Recently, the research community started utilizing deep learning methods for fingerprinting after witnessing the great success and superiority these methods have over traditional/shallow machine learning algorithms. This paper provides a comprehensive review of deep learning methods in indoor positioning. First, the advantages and disadvantages of various fingerprint types for indoor positioning are discussed. The solutions proposed in the literature are then analyzed, categorized, and compared against various performance evaluation metrics. Since data is key in fingerprinting, a detailed review of publicly available indoor positioning datasets is presented. While incorporating deep learning into fingerprinting has resulted in significant improvements, doing so, has also introduced new challenges. These challenges along with the common implementation pitfalls are discussed. Finally, the paper is concluded with some remarks as well as future research trends.