scholarly journals Towards Large-Scale RFID Positioning: A Low-cost, High-precision Solution Based on Compressive Sensing

Author(s):  
Liqiong Chang ◽  
Xinyi li ◽  
Ju Wang ◽  
Haining Meng ◽  
Xiaojiang Chen ◽  
...  
2020 ◽  
Vol 96 (1) ◽  
pp. 97-110
Author(s):  
James Hendee ◽  
Natchanon Amornthammarong ◽  
Lewis Gramer ◽  
Andrea Gomez

The role of elevated sea temperatures in coral bleaching has been well documented. Many of the sea temperature records utilized for purposes of widespread, multi-species bleaching predictions in recent publications have been acquired through satellite remote sensing. Satellites estimate sea temperatures at only a narrow range of depths near the surface of the ocean and may therefore not adequately represent the true temperatures endured by the world's coral ecosystems. To better characterize sea temperature regimes that coral reef ecosystems experience, as well as better define the individual thresholds for each species that bleaches, in situ sea temperature sensors are required. Commercial sensors are expensive in large quantities, however, reducing the capacity to conduct large- scale research programs to elucidate the range of significant scales of temperature variability. At the National Oceanic and Atmospheric Administration's (NOAA) Atlantic Oceanographic and Meteorological Laboratory (AOML), we designed a low-cost (roughly US$9 in parts) and high- precision sea temperature sensor that uses an Arduino microprocessor board and a high accuracy thermistor. This new temperature sensor autonomously records temperatures onto a memory chip and provides better accuracy (+0.05 °C) than a comparable commercial sensor (+0.2 °C). Moreover, it is not difficult to build; anyone who knows how to solder can build the temperature sensor. In March 2019, students at middle and high schools in Broward County, Florida, built close to 60 temperature sensors. During 2019, these sensors will be deployed by Reef Check, a global-scale coral reef monitoring organization, as well as by other programs to determine worldwide sea temperature regimes through the Opuhala Project (https://www. coral. noaa. gov/opuhala). This paper chronicles results from the initial proof-of-concept deployments for these AOML-designed sensors.


2011 ◽  
Vol 128-129 ◽  
pp. 694-697
Author(s):  
Yu Hua Cheng ◽  
Li Bing Bai ◽  
Lin Nie

Traditional measurement for geometric parameter of the irregular shape is considered as high cost and low efficiency, and large-scale automatic measurement cannot be achieved. In this paper, a low-cost, high-precision measurement system of irregular shape is presented. The system based on linear array CCD non-contact measurement method, in which a CCD camera is controlled to scan the projection of thread in the parallel optical field to acquire thread images. Meanwhile, an edge detection method based on gradient operator and linear fitting principle is proposed, the results show that the design improve the measurement precision efficiently.


2013 ◽  
Vol 706-708 ◽  
pp. 762-764
Author(s):  
Li Na Wang ◽  
Li Jun Liu ◽  
Wan Xun Wang ◽  
Shan Yang Qin

Along with large scale application of cluster wells in Sulige gas field, the common low pressure flow meter can not be used in metering single well production with connecting wells in series. For this reason, we have developed a flow metering instrument of natural gas, which has the features of high static pressure, low differential pressure and high precision. Installed at the high pressure end of gas production wellhead, the instrument can bear 40Mpa static high pressure and has the features such as low pressure loss, broad measuring range, small temperature drift, high precision, long service life, solid, low cost and so on. With required measurement accuracy and resistance to pressure, which have been verified by the wide application, the instrument gave a solution to metering single well production of cluster wells.


Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 149
Author(s):  
Zhengyong Liu ◽  
Youdong Chen ◽  
Henan Song ◽  
Zhenming Xing ◽  
Hongmiao Tian ◽  
...  

The development of “large display, high performance and low cost” in the FPD industry demands glass substrates to be “larger and thinner”. Therefore, the requirements of handling robots are developing in the direction of large scale, high speed, and high precision. This paper presents a novel construction of a glass substrate handling robot, which has a 2.5 m/s travelling speed. It innovatively adopts bionic end-suction technology to grasp the glass substrate more firmly. The structure design is divided into the following three parts: a travel track, a robot body, and an end-effector. The manipulator can be smoothly and rapidly extended by adjusting the transmission ratio of the reducer to 1:2:1, using only one motor to drive two sections of the arm. This robot can transfer two pieces of glass substrate at one time, and improves the working efficiency. The kinematic and dynamic models of the robot are built based on the DH coordinate. Through the positioning accuracy experiment and vibration experiment of the end-effector, it is found that the robot has high precision during handling. The robots developed in this study can be used in large-scale glass substrate handling.


Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2079 ◽  
Author(s):  
Longlong Liao ◽  
Kenli Li ◽  
Canqun Yang ◽  
Jie Liu

When measurement rates grow, most Compressive Sensing (CS) methods suffer from an increase in overheads of transmission and storage of CS measurements, while reconstruction quality degrades appreciably when measurement rates reduce. To solve these problems in real scenarios such as large-scale distributed surveillance systems, we propose a low-cost image CS approach called MRCS for object detection. It predicts key objects using the proposed MYOLO3 detector, and then samples the regions of the key objects as well as other regions using multiple measurement rates to reduce the size of sampled CS measurements. It also stores and transmits half-precision CS measurements to further reduce the required transmission bandwidth and storage space. Comprehensive evaluations demonstrate that MYOLO3 is a smaller and improved object detector for resource-limited hardware devices such as surveillance cameras and aerial drones. They also suggest that MRCS significantly reduces the required transmission bandwidth and storage space by declining the size of CS measurements, e.g., mean Compression Ratios (mCR) achieves 1.43–22.92 on the VOC-pbc dataset. Notably, MRCS further reduces the size of CS measurements by half-precision representations. Subsequently, the required transmission bandwidth and storage space are reduced by one half as compared to the counterparts represented with single-precision floats. Moreover, it also substantially enhances the usability of object detection on reconstructed images with half-precision CS measurements and multiple measurement rates as compared to its counterpart, using a single low measurement rate.


2020 ◽  
Vol 140 (4) ◽  
pp. 272-280
Author(s):  
Wataru Ohnishi ◽  
Hiroshi Fujimoto ◽  
Koichi Sakata

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