关键词： Data classification   Sparse support vector machines   Recursive algorithm   Sequential training algorithm  

摘要： This research presents a fast algorithm for projected support vector machines (PSVM) by selecting a basis vector set (BVS) for the kernel-induced feature space, the training points are projected onto the subspace spanned by the selected BVS. A standard linear support vector machine (SVM) is then produced in the subspace with the projected training points. As the dimension of the subspace is determined by the size of the selected basis vector set, the size of the produced SVM expansion can be specified. A two-stage algorithm is derived which selects and refines the basis vector set achieving a locally optimal model. The model expansion coefficients and bias are updated recursively for increase and decrease in the basis set and support vector set. The condition for a point to be classed as outside the current basis vector and selected as a new basis vector is derived and embedded in the recursive procedure. This guarantees the linear independence of the produced basis set. The proposed algorithm is tested and compared with an existing sparse primal SVM (SpSVM) and a standard SVM (LibSVM) on seven public benchmark classification problems. Our new algorithm is designed for use in the application area of human activity recognition using smart devices and embedded sensors where their sometimes limited memory and processing resources must be exploited to the full and the more robust and accurate the classification the more satisfied the user. Experimental results demonstrate the effectiveness and efficiency of the proposed algorithm. This work builds upon a previously published algorithm specifically created for activity recognition within mobile applications for the EU Haptimap project [1]. The algorithms detailed in this paper are more memory and resource efficient making them suitable for use with bigger data sets and more easily trained SVMs.

摘要： The results of the research of existent routing protocols in wireless networks and their main features are discussed in the paper. Basing on the protocol data, the routing protocols in wireless networks, including search routing algorithms and phone directory exchange algorithms, are designed with the ‘WiFi-Direct’ technology. Algorithms without IP-protocol were designed, and that enabled one to increase the efficiency of the algorithms while working only with the MAC-addresses of the devices. The developed algorithms are expected to be used in the mobile software engineering with the Android platform taken as base. Easier algorithms and formats of the well-known route protocols, rejection of the IP-protocols enables to use the developed protocols on more primitive mobile devices. Implementation of the protocols to the engineering industry enables to create data transmission networks among working places and mobile robots without any access points.

关键词： 库克   移动计算   Apple   十年   布斯   饥饿营销   继任者   薪酬委员会   延期交货   营业利润  

摘要： 这可是苹果公司15年来,营收利润首次出现下滑。＂人们往往高估了科技1年带来的变化,却低估了10年带来的变化。＂十年前的1月9日,震惊手机界的第一代iP hone正式问世。随后的十年,正如现任苹果CEO库克所总结的,i Phone不仅＂成为人们生活中不可或缺的一部分＂,＂重新定义人们交流、娱乐、工作和生活的方式＂,更是＂为移动计算设定了标准＂。10亿总销量的骄人成绩与颠覆人们生活方式的数百万App,让苹果成为了真正的科技巨头。

关键词： Smart home   Intelligent lighting   Daylight harvesting   LED lighting system   Mobile device   Smartphone  

摘要： As smartphones become increasingly powerful and ubiquitous, integrating them into intelligent lighting systems can boost both convenience and energy efficiency. This paper presents an intelligent lighting system prototype with enhanced security features for smart homes. The custom-built Android mobile application made use of the onboard ambient light sensor to run a novel closed-loop feedback algorithm to implement daylight harvesting. A cost analysis shows that the whole system setup is slightly cheaper than commercial products and due to its daylight harvesting capabilities, has potential for monetary savings in the long run, outperforming current commercial products. 2016 Elsevier B.V. All rights reserved.

关键词： 移动数据库   应用   移动计算  

摘要： 在信息化时代环境下,信息技术与计算机技术得到迅猛发展,移动数据库与移动计算技术也得到较好的发展,在社会各个领域中均得到广泛的应用。在当前智能移动终端的普及,以移动计算技术的快速发展,使得移动数据库的重要性越来越凸显出来,其应用也随之更加广泛,为了促进移动数据库的优化发展,需要对移动数据库与应用进行深入分析。本文就移动数据库与应用进行分析,以便为今后移动数据库的发展提供建议。

关键词： 移动计算技术   建筑信息   管理模型  

摘要： 通过运用综合了文献法、比较分析法、观察法、实测法、调查研究法对基于移动计算技术的建筑信息管理模型进行探究,分析移动计算与建筑信息管理的概念,且对移动计算技术对建筑信息进行管理的趋势进行分析;又对移动计算与建筑信息管理不可行的原因及解决的方法进行分析,最后对通过移动计算技术建立建筑信息的管理模型类型及如何通过移动计算技术建立建筑信息管理模型进行分析,并得总结出相关经验。

摘要： No abstract available.

关键词： 计算体系   物联网   设备处理   移动计算   网络设备   数据分析   分布式信息   历史分析   应用服务   漏洞攻击  

摘要： 边缘计算是一种分布式信息技术（IT）架构,其中客户端数据在网络的外围处理,尽可能靠近始发源。边缘计算的发展是由移动计算驱动的,计算机组件的成本越来越低,物联网（Io T）中网络设备的数量也越来越多。根据实施方式,边缘计算体系结构中的时间敏感数据可以由原点处的智能设备处理,或发送到与客户端地理位置最近的中间服务器处理。对时间较不敏感的数据可以发送到云进行历史分析、大数据分析和长期存储。

关键词： 物流解决方案   联合实验室   神州数码   物联网   物流管理   数据采集   移动计算   机器视觉  

摘要： 1月14日，京东物流、斑马技术和神州数码在北京宣告正式启动三方成立的“物联网＋电商物流联合实验室”。基于多年来在智能物流解决方案上的良好合作，三方强强联手创办联合实验室，该实验室将以京东顺义样板仓的示范应用为依托，集合三方在物流管理、数据采集、移动计算、机器视觉、云计算、物联网等领域的先进技术和人才方面的优势资源，探索下一代物流应用解决方案研发，为电商行业物流业务发展保驾护航。

关键词： 移动计算技术   零售业   斑马   联网技术   亚太地区   客户体验   零售商   革命性  

摘要： 斑马研究显示,亚太地区百分之七十的零售商计划在2021年前投资物联网技术,为客户体验带来革命性改变。塑造着全球零售业未来并增强购物体验的技术趋势是什么呢？