A Phase Compensation Technique of Sampling Moiré Method for Accurate Single-Shot Phase Analysis

2011 ◽  
Vol 70 ◽  
pp. 243-248
Author(s):  
Shien Ri ◽  
Takashi Muramatsu ◽  
Masumi Saka
Keyword(s):  
Computer Simulation ◽  
Phase Analysis ◽  
Phase Error ◽  
Linear Interpolation ◽  
Small Displacement ◽  
Single Shot ◽  
Phase Compensation ◽  
Compensation Technique ◽  
Moire Method ◽  
Effective Phase

Recently, a technique for fast and accurate phase analysis called sampling moiré method has been developed for measurement of small-displacement distribution. In this study, a distribution of phase error caused by linear interpolation in case with mismatch between the sampling pitch and the grating pitch is theoretically analyzed. Moreover, a technique for effective phase compensation is proposed to reduce the periodic phase error. The performance of our compensation method is validated by a computer simulation. Phase analysis can be performed more accurately even in the case that the sampling pitch does not match to the grating pitch strictly.

Phase Compensation Method for Electronic Instrument Transformers

2012 ◽  
Vol 241-244 ◽  
pp. 641-647
Author(s):  
Zhen Kun Li ◽  
Jing Jing Zhao ◽  
Hui Ji ◽  
Yang Fu
Keyword(s):  
Phase Error ◽  
Sampling Rate ◽  
Linear Interpolation ◽  
Rogowski Coil ◽  
Compensation Method ◽  
Phase Compensation ◽  
Electronic Transformer ◽  
Merging Unit ◽  
High Sampling Rate ◽  
Instrument Transformers

A phase compensation method based on signal transfer principle of electronic transformer is presented. The causes of phase error in electronic transformer are analyzed. The phase-delay caused by Rogowski coil and time-delay in signal transferring process from high voltage side to merging unit are analyzed. A phase compensation method is proposed based on high sampling rate and linear interpolation. The simulation result verifies the effectiveness of the proposed compensation method for electronic transformers.

Development of Sampling Moire Camera for Real-Time Phase Analysis

2011 ◽  
Vol 83 ◽  
pp. 48-53 ◽  
Author(s):  
Motoharu Fujigaki ◽  
Yuji Sasatani ◽  
Akihiro Masaya ◽  
Hiroyuki Kondo ◽  
Makiko Nakabo ◽  
...  
Keyword(s):  
Real Time ◽  
Phase Analysis ◽  
Time Measurement ◽  
Single Shot ◽  
Two Dimensional ◽  
Difference Analysis ◽  
Time Deformation ◽  
Real Time Measurement ◽  
Cmos Sensor ◽  
Moire Method

Sampling Moire method is one of the convenient phase analysis methods. The accuracy of phase difference analysis is from 1/100 to 1/1000 of the grating pitches. This method is useful for a real-time measurement because the phase analysis can be performed from a single-shot image. In this paper, we developed a sampling moire camera which can analyze grating phase in real time. This camera is composed of a CMOS sensor and a FPGA. A two-dimensional grating image taken by the CMOS sensor was analyzed by the FPGA in real time. An application on a real-time deformation measurement of a cantilever is demonstrated.

scholarly journals Phase Compensation Technique for Effective Heat Focusing in Microwave Hyperthermia Systems

2021 ◽  
Vol 11 (13) ◽  
pp. 5972
Author(s):  
Seonho Lim ◽  
Young Joong Yoon
Keyword(s):  
Target Area ◽  
Phase Compensation ◽  
Temperature Changes ◽  
Multiple Tumor ◽  
Beam Focusing ◽  
Cancerous Cell ◽  
Multifocal Breast Cancer ◽  
Compensation Technique ◽  
Circular Antenna Array ◽  
Microwave Hyperthermia

In this paper, effective electromagnetic (EM) focusing achieved with a phase compensation technique for microwave hyperthermia systems is proposed. To treat tumor cells positioned deep inside a human female breast, EM energy must be properly focused on the target area. A circular antenna array for microwave hyperthermia allows EM energy to concentrate on a specific target inside the breast tumor. Depending on the cancerous cell conditions in the breast, the input phases of each antenna are calculated for single and multiple tumor cell locations. In the case of multifocal breast cancer, sub-array beam focusing via the phase compensation technique is presented to enhance the ability of EM energy to concentrate on multiple targets while minimizing damage to normal cells. To demonstrate the thermal treatment effects on single and multiple tumor locations, the accumulation of the specific absorption rate (SAR) parameter and temperature changes were verified using both simulated and experimental results.

A Phase Compensation Technique for B-Mode Echoencephalography

1975 ◽  
pp. 395-404 ◽  
Author(s):  
D. J. Phillips ◽  
S. W. Smith ◽  
O. T. von Ramm ◽  
F. L. Thurstone
Keyword(s):  
Phase Compensation ◽  
Compensation Technique

scholarly journals Object Detection Algorithm Based on Multiheaded Attention

2019 ◽  
Vol 9 (9) ◽  
pp. 1829 ◽  
Author(s):  
Jie Jiang ◽  
Hui Xu ◽  
Shichang Zhang ◽  
Yujie Fang
Keyword(s):  
Object Detection ◽  
Linear Interpolation ◽  
Detection Algorithm ◽  
Attention Mechanism ◽  
Visual Object ◽  
Single Shot ◽  
Object Class ◽  
Feature Information ◽  
Base Network ◽  
Detector Model

This study proposes a multiheaded object detection algorithm referred to as MANet. The main purpose of the study is to integrate feature layers of different scales based on the attention mechanism and to enhance contextual connections. To achieve this, we first replaced the feed-forward base network of the single-shot detector with the ResNet–101 (inspired by the Deconvolutional Single-Shot Detector) and then applied linear interpolation and the attention mechanism. The information of the feature layers at different scales was fused to improve the accuracy of target detection. The primary contributions of this study are the propositions of (a) a fusion attention mechanism, and (b) a multiheaded attention fusion method. Our final MANet detector model effectively unifies the feature information among the feature layers at different scales, thus enabling it to detect objects with different sizes and with higher precision. We used the 512 × 512 input MANet (the backbone is ResNet–101) to obtain a mean accuracy of 82.7% based on the PASCAL visual object class 2007 test. These results demonstrated that our proposed method yielded better accuracy than those provided by the conventional Single-shot detector (SSD) and other advanced detectors.

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