A low-cost antenna reflector shape and distortion measuring system with high accuracy

2008 ◽  
Author(s):  
Xudong Li ◽  
Hongzhi Jiang ◽  
Jie Zhou ◽  
Dong Li ◽  
Huijie Zhao
Keyword(s):  
Low Cost ◽  
High Accuracy ◽  
Measuring System ◽  
Antenna Reflector

Research on Vehicle Fuel Consumption Measuring System Based on Radio Frequency Communication Technology

2011 ◽  
Vol 135-136 ◽  
pp. 852-855
Author(s):  
Yin Ping Jiang ◽  
Shan Liu ◽  
Yun Hua Yang
Keyword(s):  
Radio Frequency ◽  
Fuel Consumption ◽  
Communication Technology ◽  
Production Efficiency ◽  
Precise Measurement ◽  
Low Cost ◽  
Working Hours ◽  
High Accuracy ◽  
Measuring System ◽  
Reliable Measurement

At present, the energy crisis is increasingly serious. Energy-saving becomes a practical issues faced by all fields in the life. Considering this, the paper presents a new vehicle consumption measuring system based on intelligent handling and humane design under the promise of accurate measurement as well as low cost. In addition, the use of radio frequency communication technology makes precise measurement of instant and accumulative fuel consumption come true in any working hours. Field experiment results show that the vehicle fuel consumption measuring system has character of facilitate operation, low cost, advanced and reliable measurement method and high accuracy (within 1.5%). It can improve greatly the production efficiency of the internal combustion machine and avoid effectively the waste phenomenon, and be prone to make further application widely.

A low cost, high accuracy roundness measuring system

2001 ◽  
Vol 25 (3) ◽  
pp. 200-205 ◽  
Author(s):  
O Horikawa ◽  
N Maruyama ◽  
M Shimada
Keyword(s):  
Low Cost ◽  
High Accuracy ◽  
Measuring System

A New Sensor-Based Temperature Measuring System with High Accuracy for Wide Temperature Range Applications

2011 ◽  
Vol 467-469 ◽  
pp. 355-358
Author(s):  
Yu Zhang ◽  
Sheng Wei Zhang ◽  
Ying Zhu Huang ◽  
Jie Ying He
Keyword(s):  
Wide Temperature Range ◽  
Low Cost ◽  
Measurement Range ◽  
High Accuracy ◽  
Measuring System ◽  
Temperature Range ◽  
Temperature Measuring ◽  
Remote Operation ◽  
Accurate Temperature ◽  
Accurate Temperature Measurement

A new sensor-based temperature measuring system with high accuracy is presented in this paper. The temperature accuracy smaller then 0.02K is the measured performance of the measuring system after calibration at ten temperatures, over the -50°Cto 300°C targeted temperature range. Comparing with the traditional temperature measuring system, the advantages of the new sensor-based temperature measuring system are the high precision, immunity to noise, independent with the length of sensor wires and remote operation. And all these are at a low cost with less then 36mW of power consumption. Therefore the sensor-based temperature system is suitable for any field where reliable and accurate temperature measurement or a wide measurement range is necessary.

scholarly journals The Stand for Research of Positional-Sensitive Photosensor

2019 ◽  
Vol 7 (3) ◽  
pp. 69-76
Author(s):  
V. I. Chukita ◽  
E. A. Senokosov ◽  
V. S. Feshchenko
Keyword(s):  
Real Time ◽  
Output Signal ◽  
Low Cost ◽  
High Accuracy ◽  
Electrical Contacts ◽  
Measuring System ◽  
Information Measuring System ◽  
Long Time ◽  
Position Sensitive ◽  
Accuracy Speed

The paper considers position-sensitive photodetectors (PSP), which are designed to detect the source of electromagnetic radiation in the optical range and determine the coordinates of the irradiated area in real time, as well as to track moving optical objects. In particular, data are presented on photodetectors based on photosensitive epitaxial CdSe/mica layers with an unconventional layout and switching of electrical contacts. The output signal of such PSP is the transverse potential difference that appears between its two contacts after exposure of one of the areas of the photodetector. These PSPs can be an alternative or competition to existing photocells due to high accuracy, speed, ease of manufacture and low cost. But there are significant obstacles for their wide application. First, it is an analog type of output signal, which prevents its further processing. And, second, it is difficult to calibrate “manually” a newly made photosensor: it takes a long time associated with the accumulation and processing of large amounts of data. The introduction of computer technology and the creation of an information-measuring system allow us to process the output signals of such photodetectors with high accuracy and speed in  real time. To solve this problem we have developed a stand for the study of position-sensitive photodetectors, which is presented in this paper. This stand allows digitizing the signal received from the photodetector, in real time, with high accuracy to determine the coordinates of the irradiated area on the photodetector and explore its characteristics such as the specified value of the dark current of the photodetector, light current at a certain illumination, and output voltage. At this stand, position-sensitive photodetectors based on the CdS/mica system were studied. It is shown that the characteristics and parameters of photoreceivers measured on this stand coincide with theoretical ones, within the error limits. Recommendations on the use of the standare given.

scholarly journals The grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Supakorn Harnsoongnoen ◽  
Nuananong Jaroensuk
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Low Cost ◽  
Measuring System ◽  
Coefficient Of Determination ◽  
Water Displacement ◽  
Non Invasive ◽  
Future Potential ◽  
Non Destructive ◽  
Egg Freshness

AbstractThe water displacement and flotation are two of the most accurate and rapid methods for grading and assessing freshness of agricultural products based on density determination. However, these techniques are still not suitable for use in agricultural inspections of products such as eggs that absorb water which can be considered intrusive or destructive and can affect the result of measurements. Here we present a novel proposal for a method of non-destructive, non-invasive, low cost, simple and real—time monitoring of the grading and freshness assessment of eggs based on density detection using machine vision and a weighing sensor. This is the first proposal that divides egg freshness into intervals through density measurements. The machine vision system was developed for the measurement of external physical characteristics (length and breadth) of eggs for evaluating their volume. The weighing system was developed for the measurement of the weight of the egg. Egg weight and volume were used to calculate density for grading and egg freshness assessment. The proposed system could measure the weight, volume and density with an accuracy of 99.88%, 98.26% and 99.02%, respectively. The results showed that the weight and freshness of eggs stored at room temperature decreased with storage time. The relationship between density and percentage of freshness was linear for the all sizes of eggs, the coefficient of determination (R2) of 0.9982, 0.9999, 0.9996, 0.9996 and 0.9994 for classified egg size classified 0, 1, 2, 3 and 4, respectively. This study shows that egg freshness can be determined through density without using water to test for water displacement or egg flotation which has future potential as a measuring system important for the poultry industry.

scholarly journals Low cost, high accuracy 1.5m2 heliostat

2020 ◽  
Author(s):  
Derek Schulte ◽  
Kyam Krieger ◽  
Carl W. Chin ◽  
Alexander Sonn
Keyword(s):  
Low Cost ◽  
High Accuracy

scholarly journals A Machine Vision Approach for Bioreactor Foam Sensing

2021 ◽  
pp. 247263032110088
Author(s):  
Jonas Austerjost ◽  
Robert Söldner ◽  
Christoffer Edlund ◽  
Johan Trygg ◽  
David Pollard ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Vision ◽  
State Of The Art ◽  
Low Cost ◽  
High Accuracy ◽  
Consumer Electronics ◽  
Learning System ◽  
Automotive Applications ◽  
Fine Grained

Machine vision is a powerful technology that has become increasingly popular and accurate during the last decade due to rapid advances in the field of machine learning. The majority of machine vision applications are currently found in consumer electronics, automotive applications, and quality control, yet the potential for bioprocessing applications is tremendous. For instance, detecting and controlling foam emergence is important for all upstream bioprocesses, but the lack of robust foam sensing often leads to batch failures from foam-outs or overaddition of antifoam agents. Here, we report a new low-cost, flexible, and reliable foam sensor concept for bioreactor applications. The concept applies convolutional neural networks (CNNs), a state-of-the-art machine learning system for image processing. The implemented method shows high accuracy for both binary foam detection (foam/no foam) and fine-grained classification of foam levels.

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