• 한국통신학회논문지
• /
• 제37A권10호
• /
• pp.821-826
• /
• 2012

Two-dimensional magnetic recording (TDMR) is treated as the next generation magnetic recording method, but because of its high channel bit error rate, it is difficult to use in practices. In this paper, we introduce a new writing method that can decrease the nonlinear media error effectively, and it can also achieve 10 Tb/$in^2$ of user bit density on a magnetic recording medium with 20 Teragrains/$in^2$.

• Journal of Information Processing Systems
• /
• 제16권5호
• /
• pp.1008-1014
• /
• 2020

Aiming at the defect detection quality of denim fabric, this paper designs an improved algorithm based on the optimized Gabor filter. Firstly, we propose an improved defect detection algorithm of jean fabric based on the maximum two-dimensional image entropy and the loss evaluation function. Secondly, 24 Gabor filter banks with 4 scales and 6 directions are created and the optimal filter is selected from the filter banks by the one-dimensional image entropy algorithm and the two-dimensional image entropy algorithm respectively. Thirdly, these two optimized Gabor filters are compared to realize the common defect detection of denim fabric, such as normal texture, miss of weft, hole and oil stain. The results show that the improved algorithm has better detection effect on common defects of denim fabrics and the average detection rate is more than 91.25%.

• 디지털융복합연구
• /
• 제13권2호
• /
• pp.159-175
• /
• 2015

2차원 QR 코드는 1차원 바코드의 데이터 용량 문제를 극복하였고, 방향성, 오류 정정, 데이터 복원력 등의 장점이 있다. 특히 2차원 바코드 인식에서 주요 이슈는 인식 속도와 정확성이다. 따라서 본 논문에서는 바코드 영역을 검출하기 위한 알고리즘을 제안하며, 제안 방법은 영상 내 관심 영역의 위치를 검출하기 위해 모폴로지 기법을 기반으로 한다. 세부적인 연구내용은 다음과 같다. 첫째, 모폴로지 닫힘(close) 연산을 통해 입력 이미지에서 QR Code의 바코드 영역을 검출한다. 둘째, 경계선 검출을 통해 바코드 영역의 외곽선들을 검출한다. 셋째, 검출된 네 개의 외곽 교차점인 네 점을 추출한 후 역 투시변환을 통하여 2차원 바코드의 정사각형 모양으로 정규화 한다. 결과적으로 본 논문의 연구결과는 다양한 조명상태이나 영상에 강한 왜곡이 있는 경우에도 좋은 성능을 나타내며, 영역 검출율은 94.8%, 인식률은 92.3%로 기존연구들보다 안정된 바코드 검출 및 인식 성능을 보여주고 있다.

• Journal of Information Processing Systems
• /
• 제6권4호
• /
• pp.511-520
• /
• 2010

This paper proposes two new methods to detect the fingerprints of different persons based on one-dimensional and two-dimensional discrete wavelet transformations (DWTs). Recent literature shows that fingerprint detection based on DWT requires less memory space compared to pattern recognition and moment-based image recognition techniques. In this study four statistical parameters - cross correlation co-efficient, skewness, kurtosis and convolution of the approximate coefficient of one-dimensional DWTs are used to evaluate the two methods involving fingerprints of the same person and those of different persons. Within the contexts of all statistical parameters in detection of fingerprints, our second method shows better results than that of the first method.

• International Journal of Naval Architecture and Ocean Engineering
• /
• 제13권1호
• /
• pp.187-193
• /
• 2021

In order to solve the problem of false terrains caused by environmental interferences and tunneling effect in the conventional multi-beam seafloor terrain detection, this paper proposed a seafloor topography detection method based on fast two-dimensional (2D) Censored Mean Level Detector-statistics Constant False Alarm Rate (CMLD-CFAR) method. The proposed method uses s cross-sliding window. The target occlusion phenomenon that occurs in multi-target environments can be eliminated by censoring some of the large cells of the reference cells, while the remaining reference cells are used to calculate the local threshold. The conventional 2D CMLD-CFAR methods need to estimate the background clutter power level for every pixel, thus increasing the computational burden significantly. In order to overcome this limitation, the proposed method uses a fast algorithm to select the Regions of Interest (ROI) based on a global threshold, while the rest pixels are distinguished as clutter directly. The proposed method is verified by experiments with real multi-beam data. The results show that the proposed method can effectively solve the problem of false terrain in a multi-beam terrain survey and achieve a high detection accuracy.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2002년도 ICCAS
• /
• pp.86.4-86
• /
• 2002

1. Review of one dimensional M-transform 2. Definition of two dimensional(2D)M-transform 3. Properties of 2D M-transform 4. Mean, Autocorrelation 5. Crosscorrelation of input and output of a system 6. Application to fault detection of mechanical shape

• 한국통신학회논문지
• /
• 제37A권10호
• /
• pp.815-820
• /
• 2012

본 논문에서는 홀로그래픽 저장장치를 위한 2차원 검출기인 2차원 SOVA와 반복 검출 2차원 SOVA의 검출 성능을 비교하였다. 홀로그래픽 저장장치는 2차원 인접심볼간 간섭이 있는 채널을 가지고 있어서 2차원 검출기를 사용하여야 검출 성능이 좋다. 2차원 SOVA와 반복 검출 2차원 SOVA는 2차원 인접심볼간 간섭이 있는 채널에서 잘 동작하는 검출기이다. 이 두가지 검출기를 분석하고 성능을 비교해 보았다. 2차원 SOVA는 1차원 검출기에 비해 약 2 dB의 성능이득이 있었고, 반복 검출 2차원 SOVA는 2차원 SOVA에 비해 약 1 dB 정도의 성능 이득이 있었다. 반대로, 반복 검출 2차원 SOVA는 2차원 SOVA에 비해 약 2배 정도 복잡도가 늘어나며, 2차원 SOVA도 1차원 검출기에 비해 약 2배 정도 복잡도가 늘어난다.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2008년도 추계종합학술대회 B
• /
• pp.157-160
• /
• 2008

A realization for moving object detecting and tracking system in two dimensional plane using stereo line CCDs and lighting source is presented in this paper. Instead of processing camera images directly, two line CCD sensor and input line image is used to measure two dimensional distance by comparing the brightness on line CCDs. The algorithms are used the moving object tracking and coordinate converting method. To ensure the effective detection of moving path, a detection algorithm to evaluate the reliability of each measured distance is developed. The realized system results are that the performance of moving object recognizing shows 5mm resolution and mean error is 1.89%, and enables to track a moving path of object per 100ms period.

• 전자공학회논문지S
• /
• 제35S권5호
• /
• pp.48-58
• /
• 1998

In this paper, we proposed a new algorithm using characteristics of th ereconstructed phase trajectory by topological mapping developed for a real-tiem detection of the QRS complexes of ECG signals. Using fill-factor algorithm and mutual information algorithm which are in genral used to find out the chaotic characteristics of sampled signals, we inferred the proper mapping parameter, time delay, in ECG signals and investigated QRS detection rates with varying time delay in QRS complex detection. And we compared experimental time dealy with the theoretical one. As a result, it shows that the experimental time dealy which is proper in topological mapping from ECG signals is 20ms and theoretical time delays of fill-factor algorithm and mutual information algorithm are 20.+-.0.76ms and 28.+-.3.51ms, respectively. From these results, we could easily infer that the fill-factor algorithm in topological mapping from one-dimensional sampled ECG signals to two-dimensional vectors, is a useful algorithm for the detemination of the proper ECG signals to two-dimensional vectors, is a useful algorithm for the detemination of the proper time delay. Also with the proposed algorithm which is very simple and robust to low-frequency noise as like baseline wandering, we could detect QRS complex in real-time by simplifying preprocessing stages. For the evaluation, we implemented the proposed algorithm in C-language and applied the MIT/BIH arrhythmia database of 48 patients. The proposed algorithm provides a good performance, a 99.58% detection rate.

• Nuclear Engineering and Technology
• /
• 제51권1호
• /
• pp.155-162
• /
• 2019

To reduce the secondary damage caused by leakage accidents in plant piping systems, a constant surveillance system is necessary. To ensure leaks are promptly addressed, the surveillance system should be able to detect not only the leak itself, but also the location of the leak. Recently, research to develop new methods has been conducted using cameras to detect leakage and to estimate the location of leakage. However, existing methods solely estimate whether a leak exists or not, or only provide two-dimensional coordinates of the leakage location. In this paper, a method using multiple cameras to detect leakage and estimate the three-dimensional coordinates of the leakage location is presented. Leakage is detected by each camera using MADI(Moving Average Differential Image) and histogram analysis. The two-dimensional leakage location is estimated using the detected leakage area. The three-dimensional leakage location is subsequently estimated based on the two-dimensional leakage location. To achieve this, the coordinates (x, z) for the leakage are calculated for a horizontal section (XZ plane) in the monitoring area. Then, the y-coordinate of leakage is calculated using a vertical section from each camera. The method proposed in this paper could accurately estimate the three-dimensional location of a leak using multiple cameras.