Overview of Micro-Force Sensing Methods

2013 ◽  
Vol 462-463 ◽  
pp. 25-31 ◽  
Author(s):  
Chao Zhe Ma ◽  
Jin Song Du ◽  
Yi Yang Liu ◽  
Yun Kai Chu
Keyword(s):  
Basic Principle ◽  
Automatic Processing ◽  
Paper Analysis ◽  
Force Sensing ◽  
Detection Accuracy ◽  
Important Research ◽  
High Quality ◽  
Micro Assembly ◽  
Processing Level

At present, reliable micro-force sensing is one of the most important research for micromanipulation and micro-assembly. Six kinds of methods to detect micro-force are described in this paper. Analysis of the basic principle and detection accuracy of each sensing method, and applications in micro-assembly and micromanipulation are briefly introduced. The purpose of this paper is to be useful to provide some references for scholars engaging in the micro-force sensing, which in turn promotes automatic processing level of micro-assembly and micromanipulation to reliably manufacture micro devices of high quality.

scholarly journals An All-Batch Loss for Constructing Prediction Intervals

2021 ◽  
Vol 11 (4) ◽  
pp. 1728
Author(s):  
Hua Zhong ◽  
Li Xu
Keyword(s):  
Gradient Descent ◽  
State Of The Art ◽  
Prediction Interval ◽  
Feedforward Neural Networks ◽  
Important Research ◽  
Likelihood Principle ◽  
High Quality ◽  
Construction Methods ◽  
Important Research Topic ◽  
Benchmark Datasets

The prediction interval (PI) is an important research topic in reliability analyses and decision support systems. Data size and computation costs are two of the issues which may hamper the construction of PIs. This paper proposes an all-batch (AB) loss function for constructing high quality PIs. Taking the full advantage of the likelihood principle, the proposed loss makes it possible to train PI generation models using the gradient descent (GD) method for both small and large batches of samples. With the structure of dual feedforward neural networks (FNNs), a high-quality PI generation framework is introduced, which can be adapted to a variety of problems including regression analysis. Numerical experiments were conducted on the benchmark datasets; the results show that higher-quality PIs were achieved using the proposed scheme. Its reliability and stability were also verified in comparison with various state-of-the-art PI construction methods.

Research on Airborne Blue-Green Laser Anti-Submarine Technology

2011 ◽  
Vol 480-481 ◽  
pp. 590-594 ◽  
Author(s):  
Hai Yan Li
Keyword(s):  
Basic Principle ◽  
Green Laser ◽  
Maximum Depth ◽  
New Method ◽  
Detection Accuracy ◽  
Shallow Sea ◽  
Work Process ◽  
Marine Technology ◽  
Laser Transmitter ◽  
Depth Detection

Submarine is applied widely in naval war and this urges navy in every country develop anti-submarine equipments and weapons. The airborne blue-green laser anti-submarine becomes a new method. In this paper, the basic principle of airborne blue-green laser anti-marine technology and work process are introduced firstly, and then the system constituents are analyzed. The performance demand of laser transmitter, receiver and maximum depth and depth detection accuracy are discussed. The results proved that detecting submarine by laser is efficient, especially in the shallow sea which is only several decameters deep.

Technique to Produce Segment-Color Yarn with Ring Frame

2011 ◽  
Vol 332-334 ◽  
pp. 72-76
Author(s):  
Jun Lian ◽  
Bo Jun Xu ◽  
Chun Ping Xie
Keyword(s):  
Basic Principle ◽  
Main Parameter ◽  
Computer Numerical Control ◽  
Numerical Control ◽  
High Quality ◽  
Ring Frame ◽  
New Type

segment-color yarn is a new type yarn. It can be spin by ring frame with computer numerical control. The basic principle of spinning segment-color yarn was developed in this paper. The main parameter of segment-color yarn were discussed. This can help produce high quality segment-color yarn.

scholarly journals Thresher for threshing of the individual sunflower heads

2021 ◽  
Vol 185 (1) ◽  
pp. 63-66
Author(s):  
V.D. Shaforostov ◽  
◽  
S.S. Makarov ◽  
G.V. Kochurov ◽  
◽  
...  
Keyword(s):  
Basic Principle ◽  
Laboratory Tests ◽  
Control Unit ◽  
Compressed Air ◽  
Motor Speed ◽  
High Quality ◽  
Seed Content ◽  
The Individual ◽  
Main Factor

As a result of the studying the threshing process of individual sunflower heads on a specially designed stand, we found the main factor affecting the quality of threshing is the threshing disc speed. It is named the acceleration coefficient, which is defined as the ratio of the threshing roller frequency to the starting frequency. It allowed modifying the design of the existing thresher. While modernizing the thresher, the basic principle of sunflower heads threshing and threshing modes remained unchanged. We added a smooth adjustment of threshing modes by means of an electric motor speed control unit, which allows adjusting the thresher for high-quality threshing of heads of the various sunflower varieties. The deck is cleared of seeds stuck in it with compressed air; the threshed head is ejected automatically. According to the results of laboratory tests of the modernized thresher, it was concluded that it provides highquality threshing of individual sunflower heads. Therewith, amount of injured seeds does not exceed 0.35%, seed losses in the thresher do not exceed 1.73% and the seed content in the heap after threshing is 97.02 %.

Recent Patents on Detection Device of Surface Defects on Bearing Balls

2021 ◽  
Vol 14 ◽  
Author(s):  
Chengyi Pan ◽  
Junhong Tang ◽  
Guanqun Cao ◽  
Bingtao Hu
Keyword(s):  
Surface Defects ◽  
Detection Efficiency ◽  
High Surface ◽  
Detection Accuracy ◽  
High Quality ◽  
High Surface Quality ◽  
Existing Problems ◽  
Advantages And Disadvantages ◽  
Surface Detection ◽  
Scope Of Application

Background: With the continuous pursuit of high-quality and high-precision bearings in industrial production, the processing accuracy of bearing balls is increasing, and high surface quality has become the most basic requirement for high-quality bearing balls. Studying the working principle of detection device of surface defects on bearing balls is beneficial to improve the surface accuracy of bearing balls and the quality of bearings. Objective: To meet the increasing requirements for measurement accuracy and efficiency of surface detection on bearing balls, the devices and methods of surface detection on bearing balls have been improved constantly. Methods: This paper reviews various representative patents related to the detection device of surface defects on bearing balls. The advantages and disadvantages of the patents are analyzed. Results: Through tracing the characteristics of different types of the detection device of surface defects on bearing balls, the main existing problems in the current are concluded and analyzed, such as low detection accuracy, low detection efficiency, and limited scope of application, etc. The future development of patents on detection device of surface defects on bearing balls is discussed. Conclusion: The optimization and development of detection device of surface defects on bearing balls are beneficial to improve the detection accuracy and efficiency of surface defects on bearing balls, and are conducive to expand the scope of application of the detection devices. More related patents on detection device of surface defects on bearing balls will be invented.

Opportunities to develop a research interest in general practice

2019 ◽  
Vol 12 (8) ◽  
pp. 466-471
Author(s):  
David Shukla
Keyword(s):  
General Practice ◽  
Staff Development ◽  
Research Network ◽  
Practice Setting ◽  
Important Research ◽  
Additional Source ◽  
Research Activity ◽  
High Quality ◽  
High Quality Research ◽  
Research Studies

Research delivery in general practice usually involves practices finding and recruiting patients eligible to enter research studies relevant to their care and treatment. The National Institute for Health and Research (NIHR)’s Clinical Research Network supports many practices across England to enable GPs and their staff to recruit patients into high-quality research studies on the NIHR portfolio. Involvement provides an additional source of income for the practice, but the main benefits are in staff development, quality improvement, and the ability to offer patients opportunities to contribute to important research activity. Individual GP involvement provides satisfying exposure to academic activity, which can contribute to a portfolio career or stimulate further learning or development in research activity. This article provides an overview of research delivery in the general practice setting, including resources available, consideration of the practicalities and examples of studies offered.

Improved Damage Characteristics Identification Method of Concrete CT Images Based on Region Convolutional Neural Network

2019 ◽  
Vol 34 (06) ◽  
pp. 2054018 ◽  
Author(s):  
Liang Zhao ◽  
Chu-Jun Li ◽  
Xiao-Dong Wu ◽  
Di-Tao Niu ◽  
Zhong-Xing Duan ◽  
...  
Keyword(s):  
Damage Evolution ◽  
Ct Images ◽  
Detection Accuracy ◽  
Detection Time ◽  
Feature Maps ◽  
High Quality ◽  
Internal Damage ◽  
Original Algorithm ◽  
Damage Characteristics ◽  
Feature Pyramid

The detection of internal damage characteristics of concrete is an important aspect of damage evolution mechanism in concrete meso-structure. In this paper, the improved Faster R-CNN is used to detect the porosity and cracks in concrete CT images. Based on the Faster R-CNN, ResNet-101 and ResNet-50 are used as the main framework. Feature pyramid network (FPN) and ROI Align are introduced to improve the performance of the model. FPN can generate high quality feature maps. ROI Align solves the region mismatch caused by the quantization operation. Experiments show that the detection accuracy of ResNet-101[Formula: see text]+[Formula: see text]FPN[Formula: see text]+[Formula: see text]ROI Align reaches 87.08%, which is 4.74 higher than that of ResNet-101. The detection accuracy of ResNet-50 [Formula: see text]+[Formula: see text] FPN [Formula: see text]+[Formula: see text] ROI Align reached 81.36%, which is 3.12% points higher than ResNet-50. These two improved algorithms are slower than the original algorithm for the detection time of a single picture. An effective method is provided to analyze concrete meso-damage evolution through the research.

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