• 환경영향평가
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• 제22권6호
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• pp.581-589
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• 2013

Generally, Sewage Treatment Plants(STPs) are complexes systems in which a range of physical, chemical and biological processes occur. However, their performance strongly depends on the know-how acquired by the field-engineer. Recently, in order to solve this situations, various operation and management technologies based on the Instrumentation, Control and Automation(ICA) have been developed. As a economies-environmental affect point of view, this study was for the performance evaluation and assessment of results from the Smart Operation System(SOS) in full-scale STP. The SOS in STP consisted of the process monitoring module, including real-time influent prediction and effluent simulation, and the Smart Air Control(SAC) module. According to the results from field test for 2 years, the results of economical evaluation, amount of benefits and cost saving by the SOS have shown to be much higher than that of traditional operation. Nevertheless, the removal load(kg/yr) of BOD 13.3 %, COD 28.2 %, TN 44.4 % and TP 20.8 % were increased, respectively. Remarkable improvement of removal load could be achieved after the SOS was adapted. It was concerned that the SOS offer a user friendly functionalities and cost saving needed by the field-engineers. In addition, it was expected that the results of this study would supply helpful information for design and cost saving for the SOS in full-scale STP.

• International Journal of Control, Automation, and Systems
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• 제6권3호
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• pp.453-459
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• 2008

The neural network is currently being used throughout numerous control system fields. However, it is not easy to obtain an input-output pattern when the neural network is used for the system of a single feedback controller and it is difficult to obtain satisfactory performance with when the load changes rapidly or disturbance is applied. To resolve these problems, this paper proposes a new mode to implement a neural network controller by installing a real object for control and an algorithm for this, which can replace the existing method of implementing a neural network controller by utilizing activation function at the output node. The real plant object for controlling of this mode implements a simple neural network controller replacing the activation function and provides the error back propagation path to calculate the error at the output node. As the controller is designed using a simple structure neural network, the input-output pattern problem is solved naturally and real-time learning becomes possible through the general error back propagation algorithm. The new algorithm applied neural network controller gives excellent performance for initial and tracking response and shows a robust performance for rapid load change and disturbance, in which the permissible error surpasses the range border. The effect of the proposed control algorithm was verified in a test that controlled the speed of a motor equipped with a high speed computing capable DSP on which the proposed algorithm was loaded.

• 한국산학기술학회논문지
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• 제18권10호
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• pp.756-760
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• 2017

자동차 부품 업체에서는 납기 준수, 생산 원가 절감, 품질 관리 향상 등의 고객의 필수적인 요구 사항를 만족하기 위하여 자동화를 추진하고 있다. 현재의 수작업을 통한 육안 검사 공정에서는 이러한 필수 요구 사항을 만족하기에는 불가능하다. 따라서 본 연구에서는 품질 관리 개선을 위하여 도어 힌지 브라켓 부품에 대한 현재의 수작업 육안 검사 공정을 대체할 수 있는 자동 선별 시스템을 제안하고자 한다. 본 제안은 도어 힌지 브라켓 부품의 용접너트 누락 불량 발생을 방지하여 고객사의 검사 요구사항 등을 만족할 수 있도록 설계하였다. 검사 공정 알고리즘 및 유사 척도 매칭 알고리즘 프로그램을 자동 선별 시스템에 적용하여 정상 제품과 불량 제품을 구별할 수 있도록 하였다. 검사 공정 알고리즘 및 유사 척도 매칭 알고리즘의 검증 시험을 통하여 검출정확도 98%의 성공적인 검사 결과를 나타내었고 이를 생산 현장에 적용하여 불량 제품감소에 따른 생산성 향상에 기여하였다.

• 한국정보통신학회논문지
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• 제19권8호
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• pp.1973-1980
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• 2015

전투 시스템은 목적에 따라 각기 다른 특성을 가지는데, 주요 목적과 관련된 기능을 하는 부품이 다른 기능과 관련된 부품보다 중요하다. 또한 이러한 부품의 피격 확률은 면적에 비례한다고 볼 수 있다. 따라서 부품의 중요도 및 피격 확률을 모두 고려하여 취약성 분석이 이루어져야 하며, 전투 시스템의 설계 단계에서부터 분석된 결과를 반영하여야 신뢰성을 향상시킬 수 있다. 이를 위해 본 논문에서는 관련 연구를 바탕으로 FMECA 기반의 위험도를 적용하고, 전차의 구성 부품별 위험도를 도출하기 위한 방법과 계산 기준을 정의하며, 통합 위험도를 이용한 부품별 취약성 분석 방법을 제안한다. 추가적으로, 제안한 기법을 자동화해주는 위험도 기반의 취약성 분석 프로그램을 개발하고, 그것을 활용하여 제안한 기법의 유용성을 실험한다.

• 터널과지하공간
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• 제27권6호
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• pp.357-365
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• 2017

광해방지 기술개발사업은 한국의 광산지역 특성에 최적화된 조사 및 설계, 충전효율화를 위한 설계 및 시공, 자동화 계측 및 모니터링을 위한 현장실증을 토대로 기술상용화 기반의 연구를 추진하여 왔다. 1, 2단계 광해방지 기술개발 로드맵('07~'16)에서는 지반침하 안정성 평가방법, 충전재 및 충전기술 개발, 계측장비 개발의 성과목표를 달성하였다. 향후에는 지반침하 위험지역에 대한 체계적인 관리를 위하여 4차 산업혁명 시대에 걸맞은 지반침하방지 신기술 발굴 및 도입을 통해 기술력을 향상시키고 이와 병행한 사업추진 기술인프라를 강화시켜 나가고자 한다.

• 대한기계학회논문집A
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• 제36권4호
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• pp.395-403
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• 2012

오늘날 접합시 열에 의한 재료 손상과 접착제(ACA, NCA) 이용으로 부품간의 정렬이 문제가 되고있다. 따라서, 본 논문은 FPCB 와 HPCB 금속(Au) PAD를 직접 접합하였다. 이때 박막인 재료에 손상을 입히는 열, 부품간의 정렬에 문제가 되는 접착제(ACA, NCA)를 사용하지 않고 상온에서 접합을 하였다. 접합시 초음파 혼을 이용하여 접합을 하였으며, 초음파혼은 40kHz이다. 공정 조건은 접합압력 0.60MPa, 접합시간 0.5, 1.0, 1.5, 2.0sec이다. 또한, 산업에서 요구하는 접합강도는 필강도 테스트 결과값으로 0.60Kgf 이상이며, 본 실험에서는 접합강도가 0.80MPa 이상이 나왔다. 이로서, 열에 의한 재료 손상과, 접 착제(ACA, NCA)에 의한 정렬 문제를 해결하였다. 그리고 산업산업에서 바로 적용하고 생산할 수 있는 FPCB, HPCB 시료 제작을 하였다.

• Journal of Biosystems Engineering
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• 제42권4호
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• pp.283-292
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• 2017

Purpose: Japanese Apricot, a type of plum, has various medicinal and economical applications. Plums are quite popular worldwide, but their deseeding remains a serious impediment to their processing. Therefore, a plum (Japanese Apricot) seed remover (PSR) was developed that can use various types of cutters according to the purpose of the plum processing, and its performance was evaluated. Methods: The proposed PSR, which allows multipurpose cutters, namely, zero-, two-, and four-blade cutters, to be installed, was first designed and manufactured. To identify appropriate parameters related to the cutting pressure, plums were harvested from three regions during three harvesting periods, and their geometrical and mechanical properties were measured. After application of the parameters related to the cutting pressure, a performance test was carried out on both fresh and frozen plums by identifying the ratios of the flesh recovery, seed recovery, seed breakage, deseeding efficiency, and machine efficiency. Results: The results show that, using the proper calculation of the processing parameters, 100% deseeding efficiency was facilitated regardless of the type of cutter used. However, in the case of a four-blade cutter, there are significant differences in the flesh recovery ratio according to the plum setting angle. Between the fresh and frozen plums, all cutters showed a significantly better flesh recovery ratio for the case of fresh plums. Conclusions: This machine will advance the plum processing technology, and eventually help the plum industry flourish.

• 한국산업정보학회논문지
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• 제6권4호
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• pp.12-21
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• 2001

최근 들어 작업강도가 심화, 노동환경의 변화 등으로 단순반복작업자의 누적외상장애가 많이 발생하고 있다. 따라서, 본 연구는 단순반복작업자의 근피로도를 분석하기 위하여 수작업과 Air Balance 시스템 설계장치를 이용할 때 각 근육의 피로도의 차이를 밝히고 단순반복작업의 기계에 의한 시스템설계제안을 목적하였다. 연구 결과, 내화벽돌 적재작업시에 수작업과 Air Balance 시스템을 이용한 근피로도 비교에서 Air Balance를 이용한 적재작업에서는 수작업 대비 근육별 AEMG 64.1%, MF 65.3%, MPF 64.3%, ZCR 63.6%로 근피로도가 낮게 나타났다. 근육의 동원정도는 전체적으로 비슷한 천이를 보였다. 즉, Aire Balance시스템을 사용하는 것이 수작업보다 근피로도 값은 낮게 나타났으며, 누적외상성 질환에 대한 노출도 작은 것으로 나타났다.

• Korean Journal of Geomatics
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• 제1권1호
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• pp.1-5
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• 2001

This paper presents an investigation into the operational comparison of SPOT triangulation to build GCP library by analytical plotter and DPW (digital photogrammetric workstation). GCP database derived from current SPOT images can be used to other image sensors of satellite, if any reasons, such as lack of topographic maps or GCPs. But, general formulation of a photogrammetric process for GCP measurement has to take care of the scene interpretation problem. There are two classical methods depending on whether an analytical plotter or DPW is being used. Regardless of the method used, the measurement of GCPs is the weakest point in the automation of photogrammetric orientation procedures. To make an operational comparison, five models of SPOT panchromatic images (level 1A) and negative films (level 1AP) were used. Ten images and film products were used for the five GRS areas. Photogrammetric measurements were carried out in a manual mode on P2 analytical plotter and LH Systems DPW770. We presented an approach for exterior orientation of SPOT images, which was based on the use of approximately eighty national geodetic control points as GCPs which located on the summit of the mountain. Using sixteen well-spaced geodetic control points per model, all segments consistently showed RMS error just below the pixel at the check points in analytical instrument. In the case of DPW, half of the ground controls could not found or distinguished exactly when we displayed the image on the computer monitor. Experiment results showed that the RMS errors with DPW test was fluctuated case by case. And the magnitudes of the errors were reached more than three pixels due to the lack of image interpretation capability. It showed that the geodetic control points is not suitable as the ground control points in DPW for modeling the SPOT image.

• 산업경영시스템학회지
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• 제40권2호
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• pp.129-136
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• 2017

Among the information technology and automation that have rapidly developed in the manufacturing industries recently, tens of thousands of quality variables are estimated and categorized in database every day. The former existing statistical methods, or variable selection and interpretation by experts, place limits on proper judgment. Accordingly, various data mining methods, including decision tree analysis, have been developed in recent years. Cart and C5.0 are representative algorithms for decision tree analysis, but these algorithms have limits in defining the tolerance of continuous explanatory variables. Also, target variables are restricted by the information that indicates only the quality of the products like the rate of defective products. Therefore it is essential to develop an algorithm that improves upon Cart and C5.0 and allows access to new quality information such as loss cost. In this study, a new algorithm was developed not only to find the major variables which minimize the target variable, loss cost, but also to overcome the limits of Cart and C5.0. The new algorithm is one that defines tolerance of variables systematically by adopting 3 categories of the continuous explanatory variables. The characteristics of larger-the-better was presumed in the environment of programming R to compare the performance among the new algorithm and existing ones, and 10 simulations were performed with 1,000 data sets for each variable. The performance of the new algorithm was verified through a mean test of loss cost. As a result of the verification show, the new algorithm found that the tolerance of continuous explanatory variables lowered loss cost more than existing ones in the larger is better characteristics. In a conclusion, the new algorithm could be used to find the tolerance of continuous explanatory variables to minimize the loss in the process taking into account the loss cost of the products.