• 현장농수산연구지
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• 제11권1호
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• pp.79-94
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• 2009

본 연구는 우리나라 식용포도 재배농가의 보호봉지 결속작업이 주로 고령의 부녀자에 의존하고 있어 향후 이들 노동력을 대체하기 위하여 기계적인 포도보호봉지 결속장치를 개발하여 생산비를 절감하고자 얻어진 결과 는 다음과 같다. 1. 포도 보호봉지 및 포장봉지 결속기 개발 가. 자동결속기 설계는 CATIA V12/AUTOCAD 2000으로 하였다. 나. 자동결속기는 포도보호봉지를 기계적으로 묶어주는 장치로 소형, 경량이어야 하며 작업 시간, 노동량을 줄어 젊은층에서부터 고령자까지 작업할 수 있도록 설계하였다. 다. 자동결속기의 총 무게는 350g이하 초경량으로 제작될 수 있도록 하였다. 라. 결속성공률은 99%이상이 되도록 하였다. 마. 자동결속기의 결속롤과 커터, 배터리, 모터 등의 구조를 스테플러와 같은 가트리지형태로 개발하였다. 바. 카트리지 핀은 C-ring 28mm형으로써 길이는 500mm정도로 포도보호봉지 및 제과·제빵포장봉지를 결속할 수 있도록 제작하였다. 사. 작업시 포도나무 포도넝쿨 등 장애물의 영향을 받지 않도록 디자인을 설계, 제작하였다. 2. 포도보호봉지 결속작업시스템 포장실증시험 가. 자동결속기 시작기를 이용한 포도 보호 봉지결속으로 시기별 과병장, 과식품질이 무처리에 비하여 현저히 높았다. 나. 포도보호봉지 결속작업은 숙련자의 경우 1일 3,000개내외 씌우는 반면 초보자는 1,200개(37%)정도로 크게 떨어졌다. 다. 포도 보호봉지 자동결속기를 이용한 작업효율성은 102%로써 숙련자의 노동력을 대체할 수 있을 것으로 판단되었다. ∘ 1단계 : 232.5%(앞치마에서 보호봉지를 꺼내어 포도에 씌움) ∘ 2단계 : 60.7%(씌운 보호봉지 주름을 잡음) ∘ 3단계 : 104.7%(주름이 잡힌 상태에서 결속) ∘ 4단계 : 102% 라. 포도 보호봉지 결속부위의 둘레(크기)를 조사한 바 관행보호봉지결속작업(수작업)에서는 손으로 철사핀을 감기 때문에 평균 4.6cm이었으며 자동결속기의 결속롤(핀)은 5.3cm가 되어 다소 줄이는 것이 정밀성이 높을 것으로 판단되었다. 마. 수확시 과실 품질(과중, 과방크기-과장, 과폭, 가용성고형물, 산함량)을 조사한 결과 처리한 차이가 인정되지 않았다. 바. 자동결속기를 이용한 포도보호봉지 결속작업처리에서 포도의 열과(터진포도)와 이병율 차이에는 관행방법과 차이가 없었다.

• 한국소프트웨어감정평가학회 논문지
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• 제16권2호
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• pp.45-52
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• 2020

소스 코드의 보안 취약점을 탐지하는 전통적인 방법은 많은 시간과 노력을 필요로 한다. 만약 보안 취약점 유형들에 대한 좋은 품질의 데이터가 있다면, 이와 머신러닝 기술을 활용해 효과적으로 문제를 해결할 수 있을 것이다. 이에 본 논문은 정적 프로그램 분석에 머신러닝 기술을 활용하여 소스 코드에서 보안 취약점을 탐지하는 방법을 제시하고, 실험을 통하여 가능성을 보인다. 메소드 단위의 코드 조각의 의미를 해석하여 메소드의 이름을 예측하는 code2vec 모델을 사용하고, 모델을 생성하고 검증 및 평가를 하기 위한 데이터로 흔히 발생할 수 있는 보안 취약점을 모아놓은 Juliet Test Suite를 사용하였다. 모델 평가 결과 약 97.3%의 정밀도와 약 98.6%의 재현율로 매우 희망적인 결과를 확인하였고 오픈 소스 프로젝트의 취약점을 탐지함으로써 가능성을 보였다. 향후 연구를 통해 다른 취약점 유형과 다양한 언어로 작성된 소스 코드에 대해서 대응함으로써 기존의 분석 도구들을 대체할 수 있을 것이다.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 추계학술대회
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• pp.201-206
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• 2003

In this paper, it is presented a new technique to the design and real-time implementation of fuzzy control system based-on digital signal processors in order to improve the precision and robustness for system of industrial robot. Fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the real of industrial processes. In this thesis, a self-organizing fuzzy controller for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variable of the controller, In the synthesis of a FLC, one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult, SOFC is proposed fir a hierarchical control structure consisting of basic level and high level that modify control rules. The proposed SOFC scheme is simple in structure, fast in computation and suitable for implementation of real-time control. Performance of the SOFC is illustrated by simulation and experimental results for robot with eight joints.

• 한국공작기계학회논문집
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• 제15권4호
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• pp.63-68
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• 2006

This research presents the reliability analysis of the pneumatic actuator within the tape feeder that is used to transfer the correct force to linked parts during l.0E+7 cycles. First, the degradation analysis for thrust and air leakage is executed to obtain the failure data of a product based on its performance over time. Second, once the parameters has been calculated using the weibull 2-parameter distribution and MLE(Maximum Likelihood Estimation), information related to life such as reliability, failure rate, probability density function is estimated. Finally, MTTF(Mean Time To Failure) and $B_{10}$ life of actuators are calculated. MTTF means the mean life at the confidence level and $B_{10}$ life refers to the time by which 10% of the product would fail. In this study, failure causes and solutions are examined using the reliability analysis.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1995년도 추계학술대회 논문집
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• pp.30-36
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• 1995

This paper proposed on the effective cutting conditions of cage motor rotor by turning. If you want to introduce automatic manufacturing system into the cutting process of cage motor rotor, the selections of effective cutting conditions are necessary. The cutting process of cage motor rotor requires the precision and the out of roundness of cage motor rotor. The surface roughness of cutting face. it is very important factor with effect on the magnetic flux density of cage motor rotor. The purpose of this study is to find out the effects of cutting condition. upon adapting this results, we will improve the production rate in the cutting process of cage motor rotor. As a result, the selection of cutting conditions are important factors to production rate. And these are chosen by the investigations of cutting characters and surface roughness. The experimental result, showed that the increase of cutting speed caused the decrease of cutting force and the high surface integrity. The increase of feed rate and increase of depth of cut caused the increase of cutting force and surface roughness. Thus, the effective cutting conditions of cage motor rotor by turing are cutting speed 291m/min, feed rate 0.10mm/rev, depth of cut 0.05mm.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2004년도 추계학술대회 논문집
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• pp.187-192
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• 2004

In this paper, it is presented a new technique to the design and real-time implementation of fuzzy control system based-on digital signal processors in order to improve the precision and robustness for system of industrial robot. Fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the real of industrial processes. In this thesis, a self-organizing fuzzy controller for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variable of the controller, In the synthesis of a FLC, one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult, SOFC is proposed for a hierarchical control structure consisting of basic level and high level that modify control rules. The proposed SOFC scheme is simple in structure, fast in computation, and suitable for implementation of real-time control. Performance of the SOFC is illustrated by simulation and experimental results for robot with eight joints.

• 한국공작기계학회논문집
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• 제13권1호
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• pp.35-47
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• 2004

In this paper presents a new approach to the design and real-time implementation of fuzzy control system based-on digital signal processors(DSP:IMS320C80) in order to improve the precision and robustness for system of industrial robot(Dual-Arm with 8 joint Robot). The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. The IMS320C80 is used in implementing real time fuzzy control to provide an enhanced motion control for robot manipulators. In this paper, a Self-Organizing Fuzzy Controller(SOFC) for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variables of the controller. In the synthesis of a FLC(Fuzzy Logic Controller), one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult SOFC is proposed for a hierarchical control structure consisting of basic and high levels that modify control rules. The proposed SOFC scheme is simple in structure, Int in computation, and suitable for implementation of real-time control. Performance of the SOFC is illustrated by simulation and experimental results for a Dual-Arm robot with eight joints.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 추계학술대회논문집 - 한국공작기계학회
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• pp.102-107
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• 2000

In this paper, it is presented a new technique to the design and real-time implementation of fuzzy control system based-on digital signal processors in order to improve the precision and robustness for system of industrial robot. Fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the real of industrial processes. In this thesis, a self-organizing fuzzy controller for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variable of the controller, In tile synthesis of a FLC, one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult, SOFC is proposed for a hierarchical control structure consisting of basic level and high level that modify control rules.

• Design & Manufacturing
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• 제11권2호
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• pp.20-24
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• 2017

Recent industrial developments are constantly advancing, and rapid technological development is demanding high technology level in related fields. The need for polishing is increasing even more to improve quality. In order to improve the surface quality, the final finishing process or polishing process is a very important part. Research on super precise polishing method using MR fluid is actively being carried out in domestic and foreign countries. Fine magnetic abrasive grains are aligned in the direction of a magnetic force line formed by a magnetic field and serve as a brush to polish a metal surface. This method has the advantage that the shape of the tool is not fixed and is not affected by the shape of the workpiece or the machining area. We will design the electromagnets for the MR polish polishing system and apply the magnetic field analysis using the magnetic field analysis program (ANSYS). The data obtained through this process suggests an efficient method to increase the magnetic flux density important for polishing. We will investigate the influence of the Al6061-T6 specimen on the surface of the MR polishing machine based on the optimized design.

• 대한의용생체공학회:의공학회지
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• 제45권2호
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• pp.95-100
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• 2024

Vitiligo is a condition characterized by the destruction or dysfunction of melanin-producing cells in the skin, resulting in a loss of skin pigmentation. Facial vitiligo, specifically affecting the face, significantly impacts patients' appearance, thereby diminishing their quality of life. Evaluating the efficacy of facial vitiligo treatment typically relies on subjective assessments, such as the Facial Vitiligo Area Scoring Index (F-VASI), which can be time-consuming and subjective due to its reliance on clinical observations like lesion shape and distribution. Various machine learning and deep learning methods have been proposed for segmenting vitiligo areas in facial images, showing promising results. However, these methods often struggle to accurately segment vitiligo lesions irregularly distributed across the face. Therefore, our study introduces a framework aimed at improving the segmentation of vitiligo lesions on the face and providing an evaluation of vitiligo lesions. Our framework for facial vitiligo segmentation and lesion evaluation consists of three main steps. Firstly, we perform face detection to minimize background areas and identify the face area of interest using high-quality ultraviolet photographs. Secondly, we extract facial area masks and vitiligo lesion masks using a semantic segmentation network-based approach with the generated dataset. Thirdly, we automatically calculate the vitiligo area relative to the facial area. We evaluated the performance of facial and vitiligo lesion segmentation using an independent test dataset that was not included in the training and validation, showing excellent results. The framework proposed in this study can serve as a useful tool for evaluating the diagnosis and treatment efficacy of vitiligo.