近距无线技术在智能配电网终端产品的应用

结合物联网发展的需求,在智能配网终端产品中应用近距无线技术,如红外数据传输（IrDA）、基于GFSK射频通信技术、蓝牙、ZigBee、无线局域网802．11（WiFi）及RFID等具有实际意义,主要比较了多种近距无线技术,并对这些技术在配网终端上的实际应用提出建议。     

基于物联网技术的综合信息采集单元ICU硬件设计

介绍了基于物联网技术的动力、环境监控系统中综合信息采集单元（input capture unit,ICU）的硬件设计;无线水浸传感器、无线智能协议转换器、无线中继／协调器设计方案。     

工业无线技术在流程工业自动化系统中应用的若干问题

随着蓝牙、ZigBee等技术的发展,无线通信技术以其在配置、安装、修改和扩展等方面的优势,迅速吸引了工业自动化领域的关注。实际上,作为一类针对某些特定应用、采用专用通信协议的无线传输方案（比如,从早先的无线数传电台到如今的GSM、GRPS、CDMA等）早已投用,也起到良好效果。工业无线技术是对现有无线技术在工业应用方向上的功能扩展和技术创新。     

无线HART协议——一种真正意义上的工业无线短程网协议的概述和比较

本文在概要叙述无线HART技术的开发目的和开发过程，以及它的基本特性和HART7规范之后，较详细地描述了无线HART技术的基本网络技术—时间同步网格协议TSMP的特点和关键要素，还讨论了目前ZigBee协议为何不能完全适应工业应用的问题。     

无线应用通讯协议

WAP是一种无线应用通讯协议（Wireless Application Protocol，简称wap），WAP协议包括WAE、WSP、WTP、WTLS、WDP等     

基于CDMA的无线DCS系统

常规DCS系统的通信网络主要采用有线信道（如光缆、电缆等）构成数据链路，但在许多情况下，采用无线组网方式会具有更大的优势。文中提出了一种基于CDMA的无线DCS系统，分析了该系统的组成、原理、信道接入方式以及关键技术等。     

智能无线温度监测系统

一引言 温度历来是一个非常重要的参数。在工业、医疗、军事和生活等许多地方，都需要用到测温装置来检测温度。随着当今无线技术的发展，如何把无线技术应用到实际的产品中去也是一个非常热门的话题。同样，由于嵌入式系统的高速发展，现今的诸多产品都体现了一定的智能化。本文所介绍的一款自主研发的智能无线温度监测系统，是集当今诸多先进技术（如OLED显示、语音提醒、无线传输等）于一体的智能化监测系统，可应用于环境温度的检测、物体温度检测．也适用于汽车轮胎等场合。     

无线射频识别（RFID）技术及其应用探讨

无线射频识别技术适合于实现系统的自动化，一套完整的RFID系统是由阅读器（Reader）、应答器及应用软件系统三个部分组成。当前RFlD应用和发展面临着几个关键问题是标准、成本、技术和安全。在RFID应用中要注意选型要符合国家标准，要适合应用环境，还要与现有系统的结合等方面。     

与用户同行 无限你的无线

自2004年1月至今，霍尼韦尔已在无线控制方面与200多个用户建立了合作伙伴关系，安装了上千个应用，范围已扩展到全球。此外，自2000年以来已获得100多个无线技术专利。作为一家全球著名的无线传感器制造商、无线测控系统的领导厂商，霍尼韦尔在6月12日美国凤凰城举行的”全球用户大会”上，再一次证明了他是无线技术的引领者。     

桥梁施工控制中无线监测系统的设计

介绍了一种桥梁施工控制中无线监测系统的设计方法，对它的整体方案设计、无线采集器硬件电路、无线WEB服务器的电路结构、系统软件编程设计给出了详细论述，该系统实现了桥梁监测节点无线网络化，客户端浏览实时数据方便实用。为桥梁施工控制数据进行进一步处理提供了保障。     

新型粉末涂层刀具材料的研制

用异丙醇铝和正硅酸乙酯作前驱物,制得用于涂层的复合溶胶。利用溶胶-凝胶法在TiC粉末表面成功地涂覆了一层纳米级A l2O3/S iO2陶瓷薄膜,通过热压烧结成功制得了粉末涂层材料。材料的平均维氏硬度为19.5GPa,平均抗弯强度为860 MPa,平均断裂韧性为7.8 MPa.m1/2。     

Hybrid controller with observer for the estimation and rejection of disturbances

In this paper, a hybrid controller with observer is introduced for the estimation and rejection of a disturbance. It is based on the combination of the sliding mode technique and the output feedback strategy. It is divided into two designs: (1) the observer and (2) the controller with observer. The observer is selected to reach two objectives: (a) to assure its stability and (b) for the estimation of a disturbance. The controller with observer is selected to reach three objectives: (a) to assure its stability, (b) for the rejection of a disturbance, and (c) for the decreasing of chattering in the sliding mode behavior. The proposed method is applied for the estimation and rejection of the disturbance in a plotter and a suspension system.     

Note: A portable pulsed neutron source based on the smallest sealed-type plasma focus device

Development and operation of a portable and compact pulsed neutron source based on sealed-type plasma focus (PF) device are reported. The unit is the smallest sealed-type neutron producing PF device. The effective volume of the PF unit is 33 cm(3) only. A compact size single capacitor (4 μF) is used as the energy driver. A battery based power supply unit is used for charging the capacitor and triggering the spark gap. The PF unit is operated at 10 kV (200 J) and at a deuterium gas filling pressure of 8 mb. The device is operated over a time span of 200 days and the neutron emissions have been observed for 200 shots without changing the gas in between the shots. The maximum yield of this device is 7.8 × 10(4) neutrons/pulse. Beyond 200 shots the yield is below the threshold (1050 neutrons/pulse) of our (3)He detector. The neutron energy is evaluated using time of flight technique and the value is (2.49 ± 0.27) MeV. The measured neutron pulse width is (24 ± 5) ns. Multishot and long duration operations envisage the potentiality of such portable device for repetitive mode of operation.     

A robust adaptive load frequency control for micro-grids

The goal of this study is to introduce a novel robust load frequency control (LFC) strategy for micro-grid(s) (MG(s)) in islanded mode operation. Admittedly, power generators in MG(s) cannot supply steady electric power output and sometimes cause unbalance between supply and demand. Battery energy storage system (BESS) is one of the effective solutions to these problems. Due to the high cost of the BESS, a new idea of Vehicle-to-Grid (V2G) is that a battery of Electric-Vehicle (EV) can be applied as a tantamount large-scale BESS in MG(s). As a result, a new robust control strategy for an islanded micro-grid (MG) is introduced that can consider electric vehicles׳ (EV(s)) effect. Moreover, in this paper, a new combination of the General Type II Fuzzy Logic Sets (GT2FLS) and the Modified Harmony Search Algorithm (MHSA) technique is applied for adaptive tuning of proportional-integral (PI) controller. Implementing General Type II Fuzzy Systems is computationally expensive. However, using a recently introduced α-plane representation, GT2FLS can be seen as a composition of several Interval Type II Fuzzy Logic Systems (IT2FLS) with a corresponding level of α for each. Real-data from an offshore wind farm in Sweden and solar radiation data in Aberdeen (United Kingdom) was used in order to examine the performance of the proposed novel controller. A comparison is made between the achieved results of Optimal Fuzzy-PI (OFPI) controller and those of Optimal Interval Type II Fuzzy-PI (IT2FPI) controller, which are of most recent advances in the area at hand. The Simulation results prove the successfulness and effectiveness of the proposed controller.     

Correlated wear measurements using gold implantation, backscattering, nuclear activation analysis and profilometry

High and ultra-mild wear of Al-Si alloys under lubrication is measured (a) by comparison of initial and retained gold concentration in surfaces, (b) by tracking gold in the effluent lubricant or (c) alloy specific elements, and (d) by stylus profilometry. Wear >1 μm is best captured by method (d). However, (d) fails when both tribologically induced films have formed and wear is below 100 nm. Method (c) is efficient in a broad range of wear if element concentrations can be determined precisely. Methods (a) and (b) satisfy this requirement but they are only efficient for ultra-mild wear.     

Absolute determination of dose rate from energetic electron beams

A method for absolute dose rate determinations in the range of 10(7) rad (Si) s(-1) to greater than 10(10) rad (Si) s(-1) is reported here. The method is useful in determining the simultaneous dose rate delivered to a device under test which is small enough that it does not significantly affect the beam current. The method requires (1) an instrument consisting of a Faraday cup, scattering plates, and collimators, (2) beam profile measurements, and (3) energy deposition calculations. The Faraday cup is designed for electron beams whose energy is in the range 5-50 MeV. This method is capable of providing dose rates accurate to 10% and total dose to 5%.     

Poly(ADP-ribose), <i>adherens junctions</i>, vinculin and the actin cytoskeleton: Current evidence,future perspectives and implications

Poly(ADP-ribose) (PAR) is a highly negatively charged polymer. PAR is synthesized by poly(ADP-ribose)polymerases (PARPs) and is involved in the assembly and stabilization of macromolecular complexes. Here, the presence and putative roles of poly(ADP-ribosyl)ation (PARylation) associated to adherens junctions (AJ) and the actin cytoskeleton in epithelial and Schwann cells, is reviewed. The hypothesis generated by analogy, stating that PAR is associated to AJ in other cell types, is postulated. According to this hypothesis, PAR associated to puncta adherentia in chemical synapses would participate in plasticity, learning and memory. In turn, PAR associated to fascia adherens in cardiomyocytes, would affect heart beating. PARP inhibitors are currently under development and clinical testing. Basic research in different tissues will probably influence their clinical uses.     

Deconvolution of Thomson scattering temperature profiles

Deconvolution of Thomson scattering (TS) profiles is required when the gradient length of the electron temperature (T(e)) or density (n(e)) are comparable to the instrument function length (Δ(R)). The most correct method for deconvolution to obtain underlying T(e) and n(e) profiles is by consideration of scattered signals. However, deconvolution at the scattered signal level is complex since it requires knowledge of all spectral and absolute calibration data. In this paper a simple technique is presented where only knowledge of the instrument function I(r) and the measured profiles, T(e, observed)(r) and n(e, observed)(r), are required to obtain underlying T(e)(r) and n(e)(r). This method is appropriate for most TS systems and is particularly important where high spatial sampling is obtained relative to Δ(R).     

Bearing load distribution studies in a multi bearing rotor system and a remote computing method based on the internet

A model in the form of a Bearing Load Distribution (BLD) matrix in the Muiti Bearing Rotor System (MBRS) is established by a transfer matrix equation with the consideration of a bearing load, elevation and uniform load distribution. The concept of Bearing Load Sensitivity (BLS) is proposed and matrices for load and elevation sensitivity are obtained. In order to share MBRS design resources on the Internet with remote customers, the basic principle of Remote Computing (RC) based on the Internet is introduced ; the RC of the BLD and BLS is achieved by Microsoft Active Server Pages (ASP) technology.     

ECG signal processing for abnormalities detection using multi-resolution wavelet transform and Artificial Neural Network classifier

This paper deals with ECG signal analysis based on Artificial Neural Network and combined based (discrete wavelet transform and morphology) features. We proposed a technique to truthfully classify ECG signal data into two classes (abnormal and normal class) using various neural classifier. MIT–BIH arrhythmia database utilized and selected 45 files of one minute recording (25 files of normal class and 20 files of abnormal class) out of 48 files based on types of beat present in it. The total 64 features are separated in to two classes that is DWT (48) based features and morphological (16) feature of ECG signal which is set as an input to the classifier. Three neural network classifiers: Back Propagation Network (BPN), Feed Forward Network (FFN) and Multilayered Perceptron (MLP) are employed to classify the ECG signal. The classifier performance is measured in terms of Sensitivity (Se), Positive Predictivity (PP) and Specificity (SP). The system performance is achieved with 100% accuracy using MLP.