Extension of RFID Middleware Platform for Handling Active Sensor Tags

2010 ◽  
Author(s):  
Hyunwoo Kim ◽  
Wooseok Ryu ◽  
Bonghee Hong
Keyword(s):  
Active Sensor ◽  
Rfid Middleware

Prediction for Soybean Grain Yield Using Active Sensor GreenSeeker

2014 ◽  
Vol 40 (4) ◽  
pp. 657 ◽  
Author(s):  
Ning ZHANG ◽  
Bo QI ◽  
Jin-Ming ZHAO ◽  
Xiao-Yan ZHANG ◽  
Su-Ge WANG ◽  
...  
Keyword(s):  
Grain Yield ◽  
Active Sensor

scholarly journals A Sensaptic ADAS Device Using Shape Memory Alloy Wires: Design and Control

Materials ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3494
Author(s):  
Deivamoney Josephine Selvarani Ruth ◽  
Kaliaperumal Dhanalakshmi ◽  
Seung-Bok Choi
Keyword(s):  
Shape Memory Alloy ◽  
Shape Memory ◽  
Haptic Feedback ◽  
Reaction Force ◽  
Vehicle Speed ◽  
Accelerator Pedal ◽  
Integrated Sensor ◽  
Electronic Throttle ◽  
Position Sensing ◽  
Active Sensor

This paper presents an active accelerator pedal system based on an integrated sensor and actuator using shape memory alloy (SMA) for speed control and to create haptics in the accelerator pedal. A device named sensaptics is developed with a pair of bi-functional SMA wires instrumented in a synergistic configuration function as an active sensor for positioning the accelerator pedal (pedal position sensing) to control the vehicle speed through electronic throttle and as a variable impedance actuator to generate active force (haptic) feedback to the driver. The reaction force emanated from the pedal alerts the driver and takes appropriate control action by slowing down the vehicle, in harmony with the road’s condition. The design is developed as a proof-of-concept device and is tested and evaluated in a real-time common rail diesel system for rail pressure regulation and over speeding tests, and the responses and performances are found to be promising.

Stretchable, Self-Healing, and Skin-Mounted Active Sensor for Multipoint Muscle Function Assessment

ACS Nano ◽  
2021 ◽  
Author(s):  
Chan Wang ◽  
Xuecheng Qu ◽  
Qiang Zheng ◽  
Ying Liu ◽  
Puchuan Tan ◽  
...  
Keyword(s):  
Muscle Function ◽  
Self Healing ◽  
Active Sensor ◽  
Function Assessment

Angle density functions for active sensor imaging

2009 ◽  
Vol 3 (3) ◽  
pp. 224 ◽  
Author(s):  
A. Demirkol ◽  
Z. Demir ◽  
E. Emre
Keyword(s):  
Density Functions ◽  
Active Sensor

Distributed ALE in RFID Middleware

2008 ◽  
Author(s):  
Fagui Liu ◽  
Yuzhu Jie ◽  
Wei Hu
Keyword(s):  
Rfid Middleware

Diamond as an active sensor material

1999 ◽  
Vol 8 (8-9) ◽  
pp. 1741-1747 ◽  
Author(s):  
J.L. Davidson ◽  
W.P. Kang ◽  
Y. Gurbuz ◽  
K.C. Holmes ◽  
L.G. Davis ◽  
...  
Keyword(s):  
Sensor Material ◽  
Active Sensor

scholarly journals Validation of GPM Rainfall and Drop Size Distribution Products through Disdrometers in Italy

2021 ◽  
Vol 13 (11) ◽  
pp. 2081
Author(s):  
Elisa Adirosi ◽  
Mario Montopoli ◽  
Alessandro Bracci ◽  
Federico Porcù ◽  
Vincenzo Capozzi ◽  
...  
Keyword(s):  
Size Distribution ◽  
Drop Size ◽  
Global Scale ◽  
Drop Size Distribution ◽  
Single Frequency ◽  
Dual Frequency ◽  
Near Surface ◽  
Active Sensor ◽  
Long Time ◽  
Global Precipitation

The high relevance of satellites for collecting information regarding precipitation at global scale implies the need of a continuous validation of satellite products to ensure good data quality over time and to provide feedback for updating and improving retrieval algorithms. However, validating satellite products using measurements collected by sensors at ground is still a challenging task. To date, the Dual-frequency Precipitation Radar (DPR) aboard the Core Satellite of the Global Precipitation Measurement (GPM) mission is the only active sensor able to provide, at global scale, vertical profiles of rainfall rate, radar reflectivity, and Drop Size Distribution (DSD) parameters from space. In this study, we compare near surface GPM retrievals with long time series of measurements collected by seven laser disdrometers in Italy since the launch of the GPM mission. The comparison shows limited differences in the performances of the different GPM algorithms, be they dual- or single-frequency, although in most cases, the dual-frequency algorithms present the better performances. Furthermore, the agreement between satellite and ground-based estimates depends on the considered precipitation variable. The agreement is very promising for rain rate, reflectivity factor, and the mass-weighted mean diameter (Dm), while the satellite retrievals need to be improved for the normalized gamma DSD intercept parameter (Nw).

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