Wireless sensor network a powerful network contains many wireless sensors with limited power resource, data processing, and transmission abilities. Wireless sensor capabilities including computational capacity, radio power, and memory capabilities are much limited. Moreover, to design a hierarchy topology, in addition to energy optimization, find an optimum clusters number and best location of ...

Remote access of scientific instruments over the Internet (i.e., remote instrumentation) demand high-resolution (2D and 3D) video image transfers with simultaneous real-time mouse and keyboard controls. Consequently, user quality of experience (QoE) is highly sensitive to network bottlenecks. Further, improper user control while reacting to impaired video caused due to network bottlenecks could...

We describe hardware time synchronization instrumentation that we have developed which achieves time synchronization of better than one microsecond. The purpose of this instrumentation is for Quality of Service characterization of parallel and distributed computing and of network communications. Using this instrumentation we measure the accuracy achieved by the NIST Autolock time synchronizatio...

Low-power radio frequency (RF) chip transceiver technology and the associated structural health monitoring platforms have matured recently to enable high-rate, lossless transmission of measurement data across large-scale sensor networks. The intrinsic value of these advanced capabilities is the allowance for highquality, rapid operational modal analysis of in-service structures using distribute...

We describe a new, low-cost system designed to provide multi-sensor remote condition monitoring of modern scientific laboratories and allow users perform actions from locations in the case detection specified events. The is battery operated does not require presence local area network or WiFi (which are typically available of, e.g., power losses), as it exploits growing infrastructure Internet ...

3. VIRTUAL INSTRUMENT ARCHITECTURE ................................................................................................4 3.1. SENSOR MODULE ...........................................................................................................................................4 3.2. SENSOR INTERFACE .....................................................................................

We present a signal processing system with virtual instrumentation of a MEMS sensor to detect magnetic flux density for biomedical applications. This system consists of a magnetic field sensor, electronic components implemented on a printed circuit board (PCB), a data acquisition (DAQ) card, and a virtual instrument. It allows the development of a semi-portable prototype with the capacity to fi...

This paper presents the design and fabrication of proximity coupled feed disk resonator coated with Multi Walled Carbon Nanotubes (MWCNTs) and Polypyrrole-Chitosan (PPy-CHI) layers as a napropamide sensor. Computer Simulation Technology (CST) microwave studio was used to obtain the best design of disk resonator and feed line position in 5 GHz resonant frequency. Also, MWCNTs - PPy-CHI layers we...