面向智能电网的云数据处理系统评价方法

智能电网数据处理系统需要存储从巨量设备端点周期性采集到的海量数据,处理高度并发的读写请求,并要求系统具有良好的可扩展性.新兴的云数据服务系统为我们提供了很好的选择.但是现在云数据服务系统种类繁多,各方面的性能存在差异,如何选择合适的云数据服务系统成为关键问题.基于智能用电场景,提出了一种对云数据服务系统的性能评价和分析方法,并利用该方法评测HBase、Voldemort和Cassandra三者的性能.     

基于Zigbee技术的智能家居系统设计

采用Zigbee技术实现智能家庭的无线传输。其无线收发模块射频芯片使用CC2420,并以单片机PIC18LF4620作为微控制器。该微控制器通过SPI总线和一些离散控制信号与RF收发器通信。控制器（PIC18LF4620）充当SPI主器件而RF收发器充当从器件。控制器还实现了IEEE802.15.4MAC层和Zigbee协议层,并使用SPI总线和RF收发器交互。     

GaAs/AlGaAs多量子阱FET-SEED灵巧象元

将GaAs／AlGaAs多量子阱光探测器、光调制器与GaAs场效应晶体管（FET）混合集成,构成FET-SEED灵巧象元。光探测器和光调制器均为反射型自电光效应器件（SEED）,光源为骨子阱半导体激光器。测出的光输出Pout／光输入Pin特性表明,光输入信号对光输出信号有明显的调制作用,光输入信号较小的变化可以导致光输出信号较大的变化。     

智慧城市顶层设计介绍

基于若干智慧城市项目交付经验,形成了一套供城市管理者参考的智慧城市顶层设计指南。     

OTN技术在电力通信中的应用

本文首先对电力通信的发展和现状进行了阐述,在此基础上分析了目前电力通信中存在的问题,为了解决这些问题,引入了OTN（Opt ica l Transpor t Net work）技术。随后对OTN技术的概念进行了描述,通过与其他通信技术比较,得出了OTN技术在组网中的优势。最后,通过对OTN技术在电力通信网中的测试应用、组网和规划应用进行论述的基础上,分析了OTN技术在电力通信中应用的可能性,论述了OTN技术在电力通信中与其他通信技术相比较所具备的优势,展望了OTN技术必将在下一代电力传送技术中得到广泛应用的可能性。     

绿色医疗建筑的评价

作为医疗领域首个量化的可持续绿色设计工具,美国医疗建筑绿色指南在推动医疗领域绿色化的过程中取得了不俗的成绩。详细地介绍该指南的发展历程、组织结构及评价体系,以此推进我国医院绿色评价。     

以专利视角看中国智能电视的发展概况

随着智能电视已经成为世界电子消费品新的一个增长点,智能电视在中国的发展已经成为一个热门的话题.从专利的角度对智能电视在中国的发展概况进行解读,给出了该领域历年来的申请量和公开量,列出了主要申请人的申请量分布图,并对该领域的重要专利进行分析,介绍了智能电视可能的技术发展趋势.     

Metal coating of fiber Bragg grating and the temperature sensing character after metallization

In this study, the fiber Bragg grating (FBG) was metallized with a nickel coat using an electroless-electro plating method. Under the optimum conditions, the surface of chemical plating and electroplating coat are smooth and compact, there is not any visible defect in the cross-section. The effects of the nickel coat on the properties of the fiber sensor were studied. With this plating method, the FBG can be well protected and its sensing properties can be changed. When the temperature is changed, a thermal stress between the metal coat and the fiber will be induced because of the thermal expansion coefficients difference. The thermal stress influence on the temperature sensing properties of the metalized FBG was analyzed, and a physical-mathematical model for FBG temperature sensing was presented. Experimental results show the mathematical model is feasible to explain the mechanism of temperature sensitivity enhancement for metalized FBG.     

Entire Life Time Monitoring of Filament Wound Composite Cylinders Using Bragg Grating Sensors: II. Process Monitoring

This article is the second of a series of three papers concerning monitoring of filament wound cylinders using Bragg gratings. In this second part, the tooling presented in Part I is used to embed gratings and thermocouples in filament wound glass reinforced epoxy composite cylinders during fabrication. Bragg grating strain was obtained from wavelength and temperature response, by a calibration technique described here. Results from tests on five cylinders show the Bragg grating’s capability to monitor strain evolution during fabrication, and the capacity to detect several phenomena occurring during cure is established, in addition to quantifying the initial material condition of the cylinder before it enters service.     

The role of big data and cognitive computing in the learning process

In this paper, we investigate how the raise of big data and cognitive computing systems is going to redesign the labor market, also impacting on the learning processes. In this respect, we make reference to higher education and we depict a model of a smart university, which relies on the concepts that are at the basis of the novel smart-cities’ development trends. Thus, we regard education as a process so that we can find specific issues to solve to overcome existing criticisms, and provide some suggestions on how to enhance universities’ performances. We highlight inputs, outputs, and dependencies in a block diagram, and we propose a solution built on a new paradigm called smarter-university, in which knowledge grows rapidly, is easy to share, and is regarded as a common heritage of both teachers and students. Among the others, a paramount consequence is that there is a growing demand for competences and skills that recall the so called T-shape model and we observe that this is pushing the education system to include a blend of disciplines in the curriculums of their courses. In this overview, among the wide variety of recent innovations, we focus our attention on cognitive computing systems and on the exploitation of big data, that we expect to further accelerate the refurbishment process of the key components of the knowledge society and universities as well.