• Journal of Electrical Engineering and Technology
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• 제9권6호
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• pp.2154-2161
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• 2014

Growth analysis and selection of sea cucumbers (Stichopus japonicas) is typically performed through length or weight measurements. However, because sea cucumbers continuously change shape depending on the external environment, weight measurement has been the preferred approach. Weight measurements require extensive time and labor, moreover it is often difficult to accurately weigh sea cucumbers because of their wet surface. The present study measured sea cucumber features, including the body length, width, and thickness, by using a vision system and regression analysis to generate $R^2$ values that were used to develop a weight estimation algorithm. The $R^2$ value between the actual volume and weight of the sea cucumbers was 0.999, which was relatively high. Evaluation of the performance of this algorithm using cross-validation showed that the root mean square error and worst-case prediction error were 1.434 g and ${\pm}5.879g$, respectively. In addition, the present study confirmed that the proposed weight estimation algorithm and single slide rail device for weight measurement can measure weights at approximately 4,500 sea cucumbers per hour.

• 한국생산제조학회지
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• 제24권4호
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• pp.434-440
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• 2015

A smart phone is a multimedia device that is a necessity for modern people. It includes a wireless networking system to share information and pictures. However, numerous smart phones are discarded every year, since they have a very fast technology development cycle. This paper presents the development of a telemetry algorithm to measure displacement and strain with a discarded smart phone and digital image correlation methods. To implement the measurement algorithm, the LabVIEW 2010 program development platform was used. In order to verify reliability, an open hole tension test was conducted using a smart phone and a universal test machine. In addition, the measurement results from the smart phone were compared with FEM analysis results.

• 한국전자파학회논문지
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• 제23권10호
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• pp.1212-1215
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• 2012

레이다 간섭계에서 표적의 공간 도달 각도를 추정하는 방법 중에서 위상 비교 모노 펄스 알고리즘의 추정 각도 정확도를 향상시키기 위한 위상평균법 및 시간 지연 보상 방안을 제안하였다. 실시간 신호처리 시스템에 적용할 경우, 저역 통과 필터의 특성을 갖는 위상평균법을 적용하면 필연적으로 시간 지연이 발생한다. 이 문제점을 보완하기 위해 곡선 맞춤법을 이용하여 추정된 각도의 변화율을 계산하고 보상하여 실시간 신호처리 시스템에 적용 가능하도록 하였다. 제안 방법의 효용성을 입증하기 위해 실제 레이다 간섭계를 이용하여 획득된 데이터에 적용하여 추정된 각도의 정확도를 비교하였다.

• 한국전자파학회논문지
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• 제28권11호
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• pp.894-901
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• 2017

요동이 존재하는 환경에서 항법 장비 정확도의 한계 및 시스템 지연 오차 등으로 방위 위상 오차가 필연적으로 발생하는 항공기 탑재 SAR(Synthetic Aperture Radar)의 경우, 방위 위상 오차를 신호처리 알고리즘으로 추정하고 보상하는 자동 초점(Autofocus: AF) 기법 적용이 필수적이다. 본 논문에서는 수정된 가중치 최소 자승기법(Modified Weighted Least-Squares: MWLS)에 의한 자동 초점 알고리즘을 제안한다. 새로운 방식의 표적 선정 및 정렬과 방위 방향 반복 위상 추정 방식을 통해 기존 WLS보다 견고한 성능을 보이게 된다. 비행 시험을 통해 획득한 SAR 원시데이터에 제안한 방식을 적용하고 성능을 분석하여 제안한 방식의 유효함과 우수성을 입증하도록 한다.

• 한국군사과학기술학회지
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• 제21권6호
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• pp.744-751
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• 2018

In this paper, we propose a fast detection and identification algorithm of chemical gases with a passive FTIR spectrometer. We use a pre-detection algorithm that can reduce the spatial region effectively for gas detection and the candidates of the target. It is possible to remove background spectra effectively from measured spectra with the least-squares method. The CC(Correlation Coefficients) and the SNR(Signal-to-Noise Ratio) methods are used for the detection of target gases. The proposed pre-detection algorithm allows the total process of chemical gas detection to be performed with lower complexity compared with the conventional algorithms. This paper can help developing real-time chemical detection instruments and various applications of FTIR spectrometers.

• 제어로봇시스템학회논문지
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• 제9권5호
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• pp.384-389
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• 2003

We propose a hierarchically structured navigation algorithm for multiple mobile robots under unknown dynamic environment based on fussy-neural algorithm. The proposed algorithm consists of two basic layers. The lower layer consists of two parts such as fuzzy algorithm for goal approach and fuzzy-neural algorithm for obstacle avoidance. The upper layer which is basically fuzzy algorithm adjusts the magnitude of the weighting factor depending on the environmental situation. In addition, The proposed algorithm provides an efficient method to escape local mimimum points as shown in the simulation result. The efficacy of the proposed method is demonstrated via some simulations.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권5호
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• pp.291-299
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• 2005

An obstacle avoidance algorithm for a network-based autonomous mobile robot is proposed in this paper. The obstacle avoidance algorithm is based on the VFH(Vector Field Histogram) algorithm and two delay compensation methods with the VFH algorithm are proposed for a network-based robot with distributed environmental sensors, mobile actuators, and the VFH controller. Firstly, the environmental sensor information is compensated by prospection with acquired environmental sensor information, measured network delays, and the kinematic model of the robot. The compensated environmental sensor information is used for building polar histogram with the VFH algorithm. Secondly, a sensor fusion algorithm for localization of the robot is proposed to compensate the delay of odometry sensor information and the delay of environmental sensor information. Through some simulation tests, the performance enhancement of the proposed algorithm in the viewpoint of efficient path generation and accurate goal positioning is shown here.

• Journal of Computational Design and Engineering
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• 제3권1호
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• pp.24-36
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• 2016

During the past decade, solving complex optimization problems with metaheuristic algorithms has received considerable attention among practitioners and researchers. Hence, many metaheuristic algorithms have been developed over the last years. Many of these algorithms are inspired by various phenomena of nature. In this paper, a new population based algorithm, the Lion Optimization Algorithm (LOA), is introduced. Special lifestyle of lions and their cooperation characteristics has been the basic motivation for development of this optimization algorithm. Some benchmark problems are selected from the literature, and the solution of the proposed algorithm has been compared with those of some well-known and newest meta-heuristics for these problems. The obtained results confirm the high performance of the proposed algorithm in comparison to the other algorithms used in this paper.

• 전산구조공학
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• 제2권2호
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• pp.85-92
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• 1989

이 논문은 C언어의 특성에 맞도록 skyline algorithm을 수정하여 제시하였다. 수정된 algorithm은 FORTRAN을 위한 종래의 algorithm에 비해서 프로그램의 구조를 개선하고 효율성을 높혀주는 이점이 있다. 강성행열의 조립과 분해를 단순화시키므로 프로그램의 실행시간이 현저히 단축된다. 장차 유한요소해석 프로그램의 개발에 실용적으로 활용될 수 있도록 C로 작성한 skyline algorithm의 원시프로그램 리스트를 수록하였다.

• 수산해양교육연구
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• 제23권1호
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• pp.105-115
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• 2011

Education is focused on how to nurture creative problem-solving skills talent in rapidly changing information society. The algorithm education of computer science is effective in improvement of students' logical thinking and problem solving capability. However, the algorithm education is very difficult to teach in elementary students level. Because it is difficult to understand abstract characteristic of algorithm. Therefore we developed educational contents based on the principle of the algorithm for improve students' logical thinking and problem-solving capability in this study. And educational contents contain interesting elements of the game. So, students will be interested in algorithm learning and participate actively through developed educational contents. Furthermore, students' creative problem-solving capability may improve through algorithm learning.