A study on gas-liquid two-phase detection technology based on voice coil vibration

2021 ◽  
Author(s):  
W. Maokun ◽  
G. Yibo ◽  
X. Lilin
Keyword(s):  
Phase Detection ◽  
Two Phase ◽  
Detection Technology

scholarly journals A Two-Phase Fashion Apparel Detection Method Based on YOLOv4

2021 ◽  
Vol 11 (9) ◽  
pp. 3782
Author(s):  
Chu-Hui Lee ◽  
Chen-Wei Lin
Keyword(s):  
Object Detection ◽  
Transfer Learning ◽  
Detection Method ◽  
Phase Transfer ◽  
Recognition Task ◽  
Phase Detection ◽  
Target Domain ◽  
Two Phase ◽  
Detection Technology ◽  
Fashion Apparel

Object detection is one of the important technologies in the field of computer vision. In the area of fashion apparel, object detection technology has various applications, such as apparel recognition, apparel detection, fashion recommendation, and online search. The recognition task is difficult for a computer because fashion apparel images have different characteristics of clothing appearance and material. Currently, fast and accurate object detection is the most important goal in this field. In this study, we proposed a two-phase fashion apparel detection method named YOLOv4-TPD (YOLOv4 Two-Phase Detection), based on the YOLOv4 algorithm, to address this challenge. The target categories for model detection were divided into the jacket, top, pants, skirt, and bag. According to the definition of inductive transfer learning, the purpose was to transfer the knowledge from the source domain to the target domain that could improve the effect of tasks in the target domain. Therefore, we used the two-phase training method to implement the transfer learning. Finally, the experimental results showed that the mAP of our model was better than the original YOLOv4 model through the two-phase transfer learning. The proposed model has multiple potential applications, such as an automatic labeling system, style retrieval, and similarity detection.

Void fraction measurements in breaking waves

2007 ◽  
Vol 463 (2088) ◽  
pp. 3151-3170 ◽  
Author(s):  
C.E Blenkinsopp ◽  
J.R Chaplin
Keyword(s):  
Void Fraction ◽  
Wave Breaking ◽  
Breaking Waves ◽  
Phase Detection ◽  
Bubble Plume ◽  
Two Phase ◽  
Void Fractions ◽  
Highly Sensitive ◽  
Energy Dissipated ◽  
Degree Of Similarity

This paper describes detailed measurements and analysis of the time-varying distribution of void fractions in three different breaking waves under laboratory conditions. The measurements were made with highly sensitive optical fibre phase detection probes and document the rapid spatial and temporal evolutions of both the bubble plume generated beneath the free surface and the splashes above. Integral properties of the measured void fraction fields reveal a remarkable degree of similarity between characteristics of the two-phase flow in different breaker types as they evolve with time. Depending on the breaker type, the energy expended in entraining air and generating splash accounts for a minimum of between 6.5 and 14% of the total energy dissipated during wave breaking.

On the Distinction between Phase Images and Two-View Light Field for PDAF of Mobile Imaging

2020 ◽  
Vol 2020 (14) ◽  
pp. 390-1-390-6
Author(s):  
Chi-Jui (Jerry) Ho ◽  
Homer H. Chen
Keyword(s):  
Phase Shift ◽  
Light Field ◽  
Stereo Matching ◽  
Phase Correlation ◽  
Correlation Technique ◽  
Phase Detection ◽  
Two Phase ◽  
Lens Position ◽  
Phase Images ◽  
Left And Right

A phase detection autofocus (PDAF) algorithm iteratively estimates the phase shift between the left and right phase images captured in an autofocus process and uses it to determine the lens movement until the estimated in-focus lens position is reached. Such phase images have been assumed to be equivalent to a two-view light field. If the assumption is true, then the phase shift between the two phase images can be obtained by stereo matching or similar techniques. In this paper, we argue that it is a wrong assumption and provide insights into the distinctions between phase images and two-view light field from the autofocus perspective. We also support our argument by conducting an experiment to show that both stereo matching and optical flow result in inferior PDAF performance than the phase correlation technique and the AF-Net technique that specifically target phase images.

Local phase detection probes in fluid/fluid two‐phase flows

1991 ◽  
Vol 62 (2) ◽  
pp. 279-303 ◽  
Author(s):  
A. Cartellier ◽  
J. L. Achard
Keyword(s):  
Phase Detection ◽  
Local Phase ◽  
Two Phase Flows ◽  
Two Phase

Phase detection aided thermometry (PDaT) for two-phase flow

2018 ◽  
Vol 118 ◽  
pp. 492-497 ◽  
Author(s):  
Mao Takeyama ◽  
Tomoaki Kunugi ◽  
Takehiko Yokomine ◽  
Zensaku Kawara
Keyword(s):  
Two Phase Flow ◽  
Phase Flow ◽  
Phase Detection ◽  
Two Phase

scholarly journals Detection of Outliers in a Time Series of Available Parking Spaces

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Yanjie Ji ◽  
Dounan Tang ◽  
Weihong Guo ◽  
Phil T. Blythe ◽  
Gang Ren
Keyword(s):  
Outlier Detection ◽  
Detection Method ◽  
Experimental Tests ◽  
Detection Algorithm ◽  
Phase Detection ◽  
Real World Data ◽  
Two Phase ◽  
Real Time Information ◽  
The City ◽  
Parking Facilities

With the provision of any source of real-time information, the timeliness and accuracy of the data provided are paramount to the effectiveness and success of the system and its acceptance by the users. In order to improve the accuracy and reliability of parking guidance systems (PGSs), the technique of outlier mining has been introduced for detecting and analysing outliers in available parking space (APS) datasets. To distinguish outlier features from the APS’s overall periodic tendency, and to simultaneously identify the two types of outliers which naturally exist in APS datasets with intrinsically distinct statistical features, a two-phase detection method is proposed whereby an improved density-based detection algorithm named “local entropy based weighted outlier detection” (EWOD) is also incorporated. Real-world data from parking facilities in the City of Newcastle upon Tyne was used to test the hypothesis. Thereafter, experimental tests were carried out for a comparative study in which the outlier detection performances of the two-phase detection method, statistic-based method, and traditional density-based method were compared and contrasted. The results showed that the proposed method can identify two different kinds of outliers simultaneously and can give a high identifying accuracy of 100% and 92.7% for the first and second types of outliers, respectively.

Linear phase detection using two-phase latch

2003 ◽  
Vol 39 (24) ◽  
pp. 1695 ◽  
Author(s):  
A. Tajalli ◽  
M. Atarodi
Keyword(s):  
Phase Detection ◽  
Linear Phase ◽  
Two Phase

Measurement of Positioning Barrel Eccentric Hole Based on Machine Vision Technology

2011 ◽  
Vol 143-144 ◽  
pp. 726-730
Author(s):  
Xue Feng Wu ◽  
Yu Fan
Keyword(s):  
Edge Detection ◽  
Drive System ◽  
Motor Drive ◽  
Image Process ◽  
Stepping Motor ◽  
Two Phase ◽  
Position Information ◽  
Detection Technology ◽  
Actual Space ◽  
Motor Drive System

A measurement based on image process is proposed for detecting the hole on a barrel. The barrel image is separated from background with the image edge detection technology. The different detection operators are compared and the sobel operator is used for edge detection. The actual space position of the hole on barrel is computed by circle detecting method. Gradient hough transform is used for detecting circle position information, including circle radius and two dimension coordinates. The stepping motor drive system is consists of a control card, stepping motor drive units and two two-phase hybrid stepping motors. Automatic positioning is achieved through stepping motor drive system.

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