• 산업경영시스템학회지
• /
• 제45권2호
• /
• pp.48-55
• /
• 2022

The color image of the brand comes first and is an important visual element that leads consumers to the consumption of the product. To express more effectively what the brand wants to convey through design, the printing market is striving to print accurate colors that match the intention. In 'offset printing' mainly used in printing, colors are often printed in CMYK (Cyan, Magenta, Yellow, Key) colors. However, it is possible to print more accurate colors by making ink of the desired color instead of dotting CMYK colors. The resulting ink is called 'spot color' ink. Spot color ink is manufactured by repeating the process of mixing the existing inks. In this repetition of trial and error, the manufacturing cost of ink increases, resulting in economic loss, and environmental pollution is caused by wasted inks. In this study, a deep learning algorithm to predict printed spot colors was designed to solve this problem. The algorithm uses a single DNN (Deep Neural Network) model to predict printed spot colors based on the information of the paper and the proportions of inks to mix. More than 8,000 spot color ink data were used for learning, and all color was quantified by dividing the visible light wavelength range into 31 sections and the reflectance for each section. The proposed algorithm predicted more than 80% of spot color inks as very similar colors. The average value of the calculated difference between the actual color and the predicted color through 'Delta E' provided by CIE is 5.29. It is known that when Delta E is less than 10, it is difficult to distinguish the difference in printed color with the naked eye. The algorithm of this study has a more accurate prediction ability than previous studies, and it can be added flexibly even when new inks are added. This can be usefully used in real industrial sites, and it will reduce the attempts of the operator by checking the color of ink in a virtual environment. This will reduce the manufacturing cost of spot color inks and lead to improved working conditions for workers. In addition, it is expected to contribute to solving the environmental pollution problem by reducing unnecessarily wasted ink.

• 지능정보연구
• /
• 제18권4호
• /
• pp.43-57
• /
• 2012

제조업에 있어서 판매 후 서비스 건수와 내용 등은 향후 서비스 제공을 위한 자원배분의 효율성 증진과 서비스 품질 향상을 위해서도 매우 중요한 정보이다. 따라서 기업들은 향후 발생하는 판매 후 서비스에 대해 정확히 예측하고 그에 따라 적절히 대처하는 능력을 확보할 필요성이 제조업을 중심으로 증가하고 있다. 그러나 실제로 이들 기업들이 활용하고 있는 서비스 수요예측 방법들은 전통적인 통계적인 예측기법이거나, 시뮬레이션을 기반한 기법들이다. 예를 들면, 전통적인 통계적인 예측기법으로는 회귀분석(regression analysis)의 경우, 다양한 제품모델에 대한 판매 후 서비스 발생 패턴이 선형적인 관계가 매우 적음에도 불구하고 선형으로 가정하여 추정한다는 점과 적정한 회귀식을 가정하여야 되며, 이러한 가정이 실제 경영환경에서는 매우 어렵다는 점 등이 기존의 예측기법들의 한계점으로 지적되고 있다. 본 연구에서는 디지털 TV 모델을 생산 판매 하는 A사의 사례연구를 통하여 최근 인공지능연구에서 각광을 받고 있는 사례기반추론(case-based reasoning; CBR) 기법을 활용한 서비스 수요예측 프레임워크를 제안하고자 한다. 또한, 사례기반추론에서 핵심적인 역할 중 하나인 유사 사례추출 방법에 있어서 가장 일반적인 nearest-neighbor 방법 이외의 유사 사례추출 방법을 제안하고자 한다. 특히, 본 연구에서 제안하는 유사 사례추출 방법은 인공신경망(artificial neural network)을 활용한 자기조직화지도(Self-Organizing Maps : SOM) 군집화 기법을 활용한 유사 사례추출 방식으로 이를 활용한 서비스 수요예측 프레임워크에 구현하고, 실제 기업의 판매 후 서비스 데이터를 활용하여 본 연구에서 제안하는 서비스 수요 예측 프레임워크의 유효성을 실증적으로 검증하고자 한다.

• Journal of Biosystems Engineering
• /
• 제26권1호
• /
• pp.21-28
• /
• 2001

Major deficiencies of current automation scheme including various robots for bioproduction include the lack of task adaptability and real time processing, low job performance for diverse tasks, and the lack of robustness of take results, high system cost, failure of the credit from the operator, and so on. This paper proposed a scheme that could solve the current limitation of task abilities of conventional computer controlled automatic system. The proposed scheme is the man-machine hybrid automation via tele-operation which can handle various bioproduction processes. And it was classified into two categories. One category was the efficient task sharing between operator and CCM(computer controlled machine). The other was the efficient interface between operator and CCM. To realize the proposed concept, task of the object identification and extraction of 3D coordinate of an object was selected. 3D coordinate information was obtained from camera calibration using camera as a measurement device. Two stereo images were obtained by moving a camera certain distance in horizontal direction normal to focal axis and by acquiring two images at different locations. Transformation matrix for camera calibration was obtained via least square error approach using specified 6 known pairs of data points in 2D image and 3D world space. 3D world coordinate was obtained from two sets of image pixel coordinates of both camera images with calibrated transformation matrix. As an interface system between operator and CCM, a touch pad screen mounted on the monitor and remotely captured imaging system were used. Object indication was done by the operator’s finger touch to the captured image using the touch pad screen. A certain size of local image processing area was specified after the touch was made. And image processing was performed with the specified local area to extract desired features of the object. An MS Windows based interface software was developed using Visual C++6.0. The software was developed with four modules such as remote image acquisiton module, task command module, local image processing module and 3D coordinate extraction module. Proposed scheme shoed the feasibility of real time processing, robust and precise object identification, and adaptability of various job and environments though selected sample tasks.

• 한국전산구조공학회논문집
• /
• 제21권6호
• /
• pp.543-553
• /
• 2008

최근의 제조 산업에서 제품개발 정보는 제품 수명주기 관리(PLM: Product Lifecycle Management) 시스템을 통하여 관리하고, 조달과 생산 계획에 관련된 통제는 전사적 자원관리(ERP: Enterprise Resource Planning), 생산 관리 시스템이 담당하고 있다. 특히, 효율적인 제품 개발과 시스템 구축 여부는 설계 및 생산, 원가 관리 전체에 걸쳐 영향을 미친다. 따라서 도면, 모델, 자재 정보 등 제품정보관리를 위한 PLM시스템의 역할이 매우 중요하게 여겨지고 있다. 이러한 PLM체계는 요구 사항 분석, 시스템 설계 그리고 기존 Data Migration 등 정보 시스템 개발 절차를 따라서 수행된다. PLM시스템은 전사적인 시스템 개발 과정에서 Prototype개발을 진행하여 구축 절차와 체계 설계를 검증하는 것이 효과적이다. 이 과정에서 PLM 아키텍처 및 제품 구조(Product Structure) 구성, PLM의 기능 개발을 수행한 후에 전체 시스템 설계 개발을 재 수행하는 것이 효과적이다. 본 연구에서는 조선 PLM구축에 필요한 절차와 체계 설계 방법을 제시하고, 이를 초기 기본 설계 단계에 적용하여 PLM구축 방법론을 제시하고자 한다. 초기 설계를 대상으로 요구사항을 도출하고, PLM의 아키텍처를 설계하였으며, 설계한 시스템을 Prototype형태로 제시하였다.

• 대한조선학회논문집
• /
• 제48권6호
• /
• pp.528-538
• /
• 2011

As a forming method for curved hull plates more efficient than the flame bending, mechanical bending using multi point press forming and die-less forming is discussed in this paper. the mechanical forming is a flexible manufacturing system for automatically forming of hull parts. It is especially suited to varied curved parts. This paper discusses a multiple point pressing machine composed of a pair of reconfigurable punches in order to achieve the rapid forming of curved hull plates using division forming and presents how forming information is obtained from the given design surface. Although the mechanical forming can be efficient in the metal forming, spring back after pressing is a phenomenon which must be carefully considered when quantifying the process variables. If the spring back is not accurately controlled, the fabricated shell plate cannot meet assembly tolerance. This paper describes the principles to calculate the proper stroke of each punch at the divided areas. the strokes are determined by an iterative process of sequential pressing and spring back compensation from an unfolded flat shape to its given design surface. FEA(finite element analysis) is used to simulate the spring back of the plate and the IDA(iterative displacement adjustment) method adjusts the offset of pressing punches from the deformation results and the design surface. The shape deviations of two surfaces due to spring back are compensated by integrated system using FEA and IDA method. For the practical application, It is aimed to develop an integrated system that can automatically perform the compensation process and calculate strokes of punches of the double sides' reconfigurable multiple-press machine and some experimental results obtained with mechanical bending are presented.

• 마이크로전자및패키징학회지
• /
• 제25권3호
• /
• pp.55-59
• /
• 2018

본 연구에서는 Si/$SiO_2$/Si-sub 구조의 SDB (silicon-direct-bonding) 웨어퍼 상에 형성된 다이아프램(diaphragm)에 제조된 전단응력형 압전저항 특성을 분석하였다. 다이아프램은 MEMS (Microelectromechanical System) 기술을 이용해 형성하였다. TMAH 수용액을 이용해 웨이퍼 후면을 식각하여 형성된 다이아프램 구조는 각종 센서제작에 활용할 수 있다. 본 연구에서는 다이아프램 상에 형성시킨 전단응력형 압전저항의 최적의 형상조건을 ANSYS 시뮬레이션을 통하여 찾고 실제 반도체 미세가공기술을 이용해 다이아프램 구조를 형성시키고 이에 붕소(boron)을 주입하여 형성시킨 전단응력형 압전저항의 특성을 시뮬레이션 결과와 비교 분석하였다. 압력감지 다이아프램은 정방형으로 제조되었다. 다이아프램의 모서리의 중심부에서 동일한 압력에 대한 최대 전단응력은 구조물이 정방형일 때 발생한다는 것을 실험으로 확인할 수 있었다. 따라서 압전저항은 다이아프램의 가장자리 중앙에 위치시켰다. 제조된 전단응력형 압전저항은 시뮬레이션 결과와 잘 일치하였고 $2200{\mu}m{\times}2200{\mu}m$ 크기의 다이아프램에 형성된 압전저항의 감도는 $183.7{\mu}V/kPa$로 나타났으며 0~100 kPa 범위의 압력에서 1.3%FS의 선형성을 가졌으며 감도의 대칭성 또한 우수하게 나타났다.

• 방사성폐기물학회지
• /
• 제8권2호
• /
• pp.91-97
• /
• 2010

국내 원자력발전소의 가동년수 경과에 따른 방사능 오염증가로 제염공정에 대한 관심은 점차 점증되어 가고 있다. 화학제염은 방사성폐기물의 생성과 방사선량율을 낮추는데 매우 중요하다. 이에 앞서, 원전 주요 계통 및 부품 등의 화학제염을 위해서는 대상 재질에 적합한 산화제 및 제염제를 우선 선정하여야 한다. 이를 위해서는 제염대상물 혹은 제염대상 계통에서 채취한 크러드에 대한 각종 분석을 실시하여 크러드의 화학조성 및 결정구조에 대한 정보를 확보해야 하나 실제적으로 방사능을 띤 계통으로부터 시료를 직접 채취할 수 있는 특별한 프로그램이 마련되어 있지 않는 한 극히 제한된 방사능을 띠고 있는 부식산화물의 자료만을 얻을 수 있다. 크러드의 조성은 모재의 성분과도 밀접한 관계가 있기 때문에 재장전 주기에 따라서도 차이가 많다. 따라서 가능한 한 제염대상을 선정한 다음 제염대상으로 채취한 크러드에 대한 각종 분석자료를 확보하거나 분석을 실시하여야 한다. 본 논문은 미확보 시료에 대한 대안으로 모의크러드를 다양한 방법으로 제조하는 기술에 대해 언급하였다. 금속 산화물과 금속 수화물이 12가지의 각기 다른 방법으로 실제 시료와 유사한 화학조성과 결정구조를 지닌 모의크러드의 합성에 사용되어졌다. CRUD#4(압력용기속의 금속산화물)와 CRUD#10(하이드라진 전 처리후 도가니속의 금속산화물)시료가 Type 1, 2에 대해 가장 양호하게 합성되어졌다. 이들 크러드 시료들은 특별한 장비를 사용하지 않고도 짧은 시간 내에 반응이 이루어지고 많은 량의 시료를 쉽게 합성할 수 있게 됨으로서 제염제와 제염공정을 개발하는데 매우 유용하게 활용될 수 있을 것으로 기대된다.

• 한국소음진동공학회논문집
• /
• 제22권3호
• /
• pp.203-207
• /
• 2012

The noise emitted from an excavator has long been a cause of environmental disputes, while causing displeasure to the nearby residents. So, the ministry of environment adopted the construction machinery noise labeling system to encourage the construction machinery manufacturing companies to develop the low noise construction machinery voluntarily. But, as the quality of life improves, a growing number of people desire the comfortable and quite environment to live in. Under the situation, noise from the construction machinery has been a major cause for stress and complaints. When the noise dispute happened in the construction site, the sound pressure level of the construction machinery like a excavator was measured at the lot boundary of the noise victim's residence to judge how much noise damage occur. But the sound pressure level of the construction machinery is measured differently according to the acoustic environment of construction site and the measuring position, respectively, which makes it difficulty to judge whether the noise damage occur or not. As the sound power level of noise source is not affected by the acoustic environment of construction site and the measuring position, if we use the information of the sound power level, it will be easy to judge whether the noise damage occur and to establish the soundproofing measures. Therefore, we derive the sound power level regression model of the excavator to judge whether the noise emitted from the excavator damages to residents near the construction site. Also, the sound power level regression model of the excavator drawn in this paper will help construction companies to plan the noise reduction program in the construction sites.

• 산업경영시스템학회지
• /
• 제39권4호
• /
• pp.26-39
• /
• 2016

Korea's main manufacturing industries, which have led its economy for the past three decades, are faced with a serious downturn and loss of competitive advantages due to the current economic depression, China's rise, and the drop of oil prices. Korean business firms must adopt the paradigm shift in their value strategies, along with a government-led industrial restructuring in order to gain sustainable competitive advantages. Business firms allocate their limited resources between value creation and value appropriation, however, what effect does strategic emphasis on value creation versus value appropriation have on a business firm's financial performance? This paper empirically addresses this issue by examining the effect of shifts in strategic emphasis on stock return. Furthermore, this study examines appropriate choices of strategic emphasis to gain differential financial performance. The data set used in this regression analysis comes from the KISLINE database of NICE Information Service. The variables that form the basis of this analysis are stock return, ROA, and Strategic Emphasis [(advertising expenditures-R&D expenditures)/assets]. The interactive effect with situational factors regarding the firm and the type of technological environment in which the firm is operating was also analyzed. Our results show that investors acknowledge a shift of strategic emphasis as a sign of stock valuation. In comparison to US, Korean business firms have weak value creation capabilities in high-technology industries, and weak value appropriation capabilities in low-technology industries. This proves Korean firms are fast followers in the global market. Our findings suggest that Korean firms have to adopt a balanced value strategy, nurturing value creation and developing value appropriation for overcoming the current economic downturn and becoming a first mover in the dawn of "Industry 4.0."

• 산업경영시스템학회지
• /
• 제39권4호
• /
• pp.137-146
• /
• 2016

In recent years, business environment is faced with multi uncertainty that have not been suffered in the past. As supply chain is getting expanded and longer, the flow of information, material and production is also being complicated. It is well known that development service industry using application software has various uncertainty in random events such as supply and demand fluctuation of developer's capcity, project effective date after winning a contract, manpower cost (or revenue), subcontract cost (or purchase), and overrun due to developer's skill-level. This study intends to social contribution through attempts to optimize enterprise's goal by supply chain management platform to balance demand and supply and stochastic programming which is basically applied in order to solve uncertainty considering economical and operational risk at solution supplier. In Particular, this study emphasizes to determine allocation of internal and external manpower of developers using S&OP (Sales & Operations Planning) as monthly resource input has constraint on resource's capability that shared in industry or task. This study is to verify how Stochastic Programming such as Markowitz's MV (Mean Variance) model or 2-Stage Recourse Model is flexible and efficient than Deterministic Programming in software enterprise field by experiment with process and data from service industry which is manufacturing software and performing projects. In addition, this study is also to analysis how profit and labor input plan according to scope of uncertainty is changed based on Pareto Optimal, then lastly it is to enumerate limitation of the study extracted drawback which can be happened in real business environment and to contribute direction in future research considering another applicable methodology.