본 논문에서는 원전해체 시 적용 가능한 제염기술을 조사하여 분석하였다. 이를 기반으로 최적의 제염기술을 선정하기 위 해 의사결정 기법(EXPERT-CHOICE)을 사용하여 기술성을 평가하였다. 이 평가방법은 해당 분야의 전문가로 이루어진 전 문가 집단에 의해 수행되는 것이 일반적이다. 가중치를 고려한 결과는 각 기준에 대한 가중치에 평가점수를 곱한 총합을 구 하는 식으로 수행하였다. 평가 점수를 3단계로 하여 High, Medium, Low로 구분한 후 가중치를 부여하여 차별화 시킬 수 있 다. 하위분류 기준의 세분화와 각 기준 별 가중치의 추가 정량화를 통하여 기술성 분석의 수준을 제고할 수 있고, 좀 더 설 득력 있는 결과의 도출을 예상할 수 있다. 평가의 기본 가정은 각 기준 별 가중치를 전문가 조사에 의해 부여하며, 평가 기 준은 High에 좀 더 비중을 주는 식으로 차별화 하였다. 이를 반영하면 H, M, L는 대략“10:5:1”의 비율로 평가 점수를 부여 받는데, 이는 EXPERT-CHOICE 기법의 최적화 분석에 따른 것이다. 최고 및 최저값을 제외한 나머지 결과값의 평균을 평가 치로 고려하였다.

The WUF-W moment connection is a pre-qualified connection that can be used for special moment frames specified in current seismic design specifications. Since the stress distribution near the connection varies according to access hole configuration, the cyclic performance of WUF-W connections is strongly affected by the access hole configurations. To evaluate the connection performance according to various access hole configurations, it is expensive to conduct experiments with many connection specimens. Instead, finite element analyses (FEA) can be performed. Throughout the FEA, stress and strain distribution in the connection can be monitored at each loading step. The purpose of this study is to construct nonlinear 3-dimensional FE models for accurately predicting the cyclic behavior of WUF-W connections. For predicting connection fracture using FEA, an appropriate response index detecting the incidence of connection rupture is proposed.

With the increased interest in the quality of life of modern people, the implementation of the five-day working week, the increase in traffic convenience, and the economic and social development, domestic and international travel is becoming commonplace. Furthermore, in the past, there were many cases of purchasing packaged goods of specialized travel agencies. However, as the development of the Internet improved the accessibility of information about the travel area, the tourist is changing the trend to plan the trip such as the choice of the destination. Web services have been introduced to recommend travel destinations and travel routes according to these needs of the customers. Therefore, after reviewing some of the most popular web services today, such as Stubby planner (http://www.stubbyplanner.com) and Earthtory (http://www.earthtory.com), they were supposed to be based on traditional Traveling Salesman Problems (TSPs), and the travel routes recommended by them included some practical limitations. That is, they were not considered important issues in the actual journey, such as the use of various transportation, travel expenses, the number of days, and lodging. Moreover, although to recommend travel destinations, there have been various studies such as using IoT (Internet of Things) technology and the analysis of cyberspatial Big Data on the web and SNS (Social Networking Service), there is little research to support travel routes considering the practical constraints. Therefore, this study proposes a new mathematical model for applying to travel route recommendation service, and it is verified by numerical experiments on travel to Jeju Island and trip to Europe including Germany, France and Czech Republic. It also expects to be able to provide more useful information to tourists in their travel plans through linkage with the services for recommending tourist attractions built in the Internet environment.

Recently, the material industry in the world has started appreciating the value of new materials that can overcome the limitation of steel material. In particular, new materials are expected to play a very important role in the future industry, demonstrating superior performance compared to steel in lightweight materials and ability to maintain in high temperature environments. Carbon materials have recently increased in value due to excellent physical properties such as high strength and ultra lightweight compared to steel. However, they have not overcome the limitation of productivity and price. The carbon materials are classified into various composites depending on the purpose of use and the performance required. Typical composites include carbon-glass, carbon-carbon, and carbon-plastic composites. Among them, carbon-carbon composite technology is a necessary technology in aviation and space, and can be manufactured with high investment cost and technology. In this paper, in order to find the optimal conditions to achieve productivity improvement and cost reduction of carbon material densification process, the correlation between each process parameters and results of densification is first analyzed. The main process parameters of the densification process are selected by analyzing the correlation results. And then a certain linear relationship between major process variables and density of carbon materials is derived by performing a regression analysis based on the historical production result data. Using the derived casualty, the optimal management range of major process variables is suggested. Effective process operation through optimal management of variables will have a great effect on productivity improvement and manufacturing cost reduction by shortening the lead time.

본 논문에서는 보행로봇의 일종인 TITAN-VIII라 불리는 로봇을 이용하여 가장 짧은 경로를 탐색하여 이동하는 방법에 관한 연 구를 나타낸다. 보행로봇의 경우 바퀴구동 로봇에 비해 불규칙한 지면 위를 자유로이 이동 가능한 장점 등을 가지고 있는데 반해 이동속 도는 바퀴구동 로봇에 비해 느린 편이다. 따라서 본 논문에서는 목적지에 도달하기까지 시간을 최소화하는 최적경로 탐색 제어방법을 제 시하였다. 경로를 탐색하기 위해 Dijkstra’s algorithm라 불리는 알고리즘을 기반으로 하여 적용하였다. 또한 로봇이 항상 정적인 자세를 유 지하는 로봇의 다양한 자세에 대해서도 다루었다. 로봇의 자세제어와 알고리즘을 통하여 로봇의 관절각 결정에 필요한 여러 수학방정식 을 제시하였다. 그 후 원하는 궤적으로 로봇이 이동하고 탐색하는 알고리즘을 고안하였고, 제안한 방법의 결과를 실험으로 확인하였다.

본 연구는 진동에너지를 흡수하기 위한 진동 금속 댐퍼의 구조 해석과 최적 설계를 수행한다. 고무 베어링, 마찰 또는 점성 댐퍼와 같은 다른 댐퍼와는 달리 이 금속제진장는 금속의 소성 변형과 그에 따른 히스테리시스 현상을 이용하여 구조물의 진동을 감소시킨다. 이 금속제진장치를 최적화 하려면 댐퍼를 통해 소성 변형을 얻는 것이 중요하다. 금속제진장치의 최적화 된 형상을 찾기 위해 형상 최적화 방법을 적용하였다. 또한 매개 변수화 체계에 따라 일부 최적의 모양을 찾을 수 있다.

본 논문에서는 곤충 모방 날갯짓 초소형 비행체에 적용될 끈을 이용한 날갯짓 구동 장치의 구동 원리와 그 최적화 과정이 소개된다. 이 날갯짓 구동 장치는 끈을 이용하여 구조의 경량화와 관성력 감소로 인한 에너지 효율 상승을 목적으로 설계되 었다. 먼저 장력만 전달할 수 있는 끈의 특성을 고려하여 운동학적인 수식이 정립되었으며, 이를 통해 구동 장치의 거동 특 성을 파악할 수 있었다. 이 수식들은 수정된 패턴 검색 최적화 과정에 포함되어 메커니즘의 운동학적 최적화를 가능하게 만 들었다. 최적화된 형상으로 제작된 시제품은 설계의 구동 원리에 맞게 운동하였으며, 그 날갯짓 폭은 목표한 날갯짓 폭을 만 족시켰다. 수치적 시뮬레이션과 실험 결과는 잘 일치하여 제시된 구동 장치가 실제로 활용될 수 있음을 보였다.

In this study, H13 tool steel sculptures are built by a metal 3D printing process at various laser scan speeds. The properties of commercial H13 tool steel powders are confirmed for the metal 3D printing process used: powder bed fusion (PBF), which is a selective laser melting (SLM) process. Commercial H13 powder has an excellent flowability of 16.68 s/50 g with a Hausner ratio of 1.25 and a density of 7.68 g/cm3. The sculptures are built with dimensions of 10 × 10 × 10 mm3 in size using commercial H13 tool steel powder. The density measured by the Archimedes method is 7.64 g/cm3, similar to the powder density of 7.68 g/cm3. The hardness is measured by Rockwell hardness equipment 5 times to obtain a mean value of 54.28 HRC. The optimum process conditions in order to build the sculptures are a laser power of 90 W, a layer thickness of 25 μm, an overlap of 30%, and a laser scan speed of 200 mm/s.

식물 및 동물성 단백질 유래 펩타이드 형태의 단백질 가수분해물들은 항산화, 고혈압 완화, 면역조절, 진통완화 및 항균작용 등 생리활성이 있는 것으로 알려져 왔다. 본 연구는 건조 해삼으로부터 해삼육 슬러리를 제조하고 flavourzyme 프로티아제를 이용하여 단백질 가수분해 최적공정을 수행하였 다. 이어서 생산된 펩타이드의 항산화 특성을 연구하였다. 효소반응 최적공정은 표면반응 분석법을 이 용하여 수행을 하였고 공정의 범위는 반응온도 40-60 ℃, 반응 pH 6-8, 효소의 농도 0.5-1.5%(w/v) 이었다. 해삼의 단백질 최적 효소가수분해 공정조건은 효소 반응온도 48–50 ℃, 반응 pH 7.0–7.2, 효소 의 양은 1.0-1.1%(w/v)에서 결정 되었다. 이때 단백질 가수분해 수율은 43-45%에 도달하였다. 생산된 대부분 가수분해물의 분자량들은 전형적인 펩타이드인 분자량 500-3,500Da로 분포되었다. 펩타이드들 은 항산화 능력은 금속 킬레이션 능력(IC50, 1.25 mg/mL), DPPH 소거능(IC50, 3.40 mg/mL), 슈퍼옥사 이드 라디칼 소거능(IC50, 10.3 mg/mL), 하이드록시 라디칼 소거능(IC50, 22.11 mg/mL) 순서로 저해농 도가 낮음을 보여 주었다. 따라서 해삼 단백질 가수분해물은 건강 기능 식품소재로서 활용할 가치가 높 을 것으로 기대를 한다.

In product development, different divisions and businesses often have heterogeneous CAD/CAE systems and methods for expressing product data, and addressing this heterogeneity creates additional costs and causes longer development periods. To ensure successful collaboration in the design process, it is therefore imperative that different CAD, CAE, and other related systems be managed in an organic and integrated manner from the initial stages of product development. Therefore, this study suggests an integrated CAD/CAE system including optimal design in a more effective and integrated manner but also to support interfacing and the collective use of design and analysis tools. To validate the proposed method, a stiffened plate example is taken as an example. It is found that the proposed method could overcome the bottleneck of CAD and CAE such as transferability of data, though CATIA and ANSYS are used at the moment.

This study presents a sustainable design method to optimize the embodied energy and CO2 emission complying with the design code for reinforced concrete column. The sustainable design method effectively achieves the minimization of the environmental load and energy consumption whereas the conventional design method has been mostly focused on the cost saving. Failure of reinforced concrete column exhibits compressive or tensile failure mode against an external force such as flexure and compression; thus, optimization analyses are conducted for both failure modes. For the given sections and reinforcement ratios, the optimized sections are determined by optimizing cost, embodied energy, and CO2 emission and various aspects of the sections are thoroughly investigated. The optimization analysis results show that 25% embodied energy and 55% CO2 emission can be approximately reduced by 10% increase in cost. In particular, the embodied energy and CO2 emission were more effectively reduced in the tensile failure mode rather than in the compressive failure mode. Consequently, it was proved that the sustainable design method effectively implements the concept of sustainable development in the design of reinforced concrete structure by optimizing embodied energy consumption and CO2 emission.

Recently, application areas based on M2M (Machine-to-Machine communications) and IoT (Internet of Things) technologies are expanding rapidly. Accordingly, water flow and water quality management improvements are being pursued by applying this technology to water and sewage facilities. Especially, water management will collect and store accurate data based on various ICT technologies, and then will expand its service range to remote meter-reading service using smart metering system. For this, the error in flow rate data transmitting should be minimized to obtain credibility on related additional service system such as real time water flow rate analysis and billing. In this study, we have identified the structural problems in transmitting process and protocol to minimize errors in flow rate data transmission and its handling process which is essential to water supply pipeline management. The result confirmed that data acquisition via communication system is better than via analogue current values and pulse, and for communication method case, applying the industrial standard protocol is better for minimizing errors during data acquisition versus applying user assigned method.

Purple-fleshed potato powder (PFPP) was investigated to determine optimal mixing ratio with milk powder and dextrin to produce a ready-to-eat mashed potato powder. The rheological characteristics, color, and anthocyanin contents were studied at a different concentration of ingredients. The power-law model was applied to explain the mechanical spectra of mashed potatoes which represented the change in structure induced by different mixing ratios. Mixture design was used to obtain the experimental points used to establish the empirical models to describe the effects of each ingredient on the characteristic of the mashed potato. The results of mechanical spectra showed that both storage and loss moduli (G' and G'') were significantly influenced by PFPP and milk powder concentration. The power law parameters n' and n'' showed higher values for the mashed potato with a lower concentration of PFPP and a higher concentration of milk powder, which showed that the gel networks involved in the mashed potato were weaker. The optimum mixing ratio with the highest redness and anthocyanin content, while maintaining the rheological properties similar to the commercial mashed potato, was determined as PFPP:milk powder:dextrin = 90.49:4.86:4.65 (w/w). The proportions of PFPP and milk powder in the formulation significantly changed the characteristics of mashed potato, whereas no significant effect of dextrin was observed in this formulation.

Purple-fleshed potato powder (PFPP) was investigated to determine optimal mixing ratio with milk powder and dextrin to produce a ready-to-eat mashed potato powder. The rheological characteristics, color, and anthocyanin contents were studied at a different concentration of ingredients. The power-law model was applied to explain the mechanical spectra of mashed potatoes which represented the change in structure induced by different mixing ratios. Mixture design was used to obtain the experimental points used to establish the empirical models to describe the effects of each ingredient on the characteristic of the mashed potato. The results of mechanical spectra showed that both storage and loss moduli (G' and G'') were significantly influenced by PFPP and milk powder concentration. The power law parameters n' and n'' showed higher values for the mashed potato with a lower concentration of PFPP and a higher concentration of milk powder, which showed that the gel networks involved in the mashed potato were weaker. The optimum mixing ratio with the highest redness and anthocyanin content, while maintaining the rheological properties similar to the commercial mashed potato, was determined as PFPP:milk powder:dextrin = 90.49:4.86:4.65 (w/w). The proportions of PFPP and milk powder in the formulation significantly changed the characteristics of mashed potato, whereas no significant effect of dextrin was observed in this formulation.

The purpose of this study was to optimize dough properties using response surface methodology (RSM) and to demonstrate the performances of dough prepared under optimized conditions. Dough mixed with yeast, margarine, salt, sugar and wheat flour was prepared by fermentation process. Hardness, cohesiveness and springiness of dough were selected as critical quality attributes. The critical formulations (yeast and water) and process (fermentation time) variables were selected as critical input variables based on preliminary experiment. Box-Behnken design (BBD) was used as RSM. As a result, the quardratic, the squared and the linear model respectively provided the most appropriate fit (R2>90) and had no significant lack of fit (p>0.05) on critical quality attributes (hardness, cohesiveness and springiness). The accurate prediction of dough characteristics was possible from the selected models. It was confirmed by validation that a good correlation was obtained between the actual and predicted values. In conclusion, the methodologies using RSM in this study might be applicable to the optimization of fermented foods containing various wheat flour and yeast.

The purpose of this study was to optimize dough properties using response surface methodology (RSM) and to demonstrate the performances of dough prepared under optimized conditions. Dough mixed with yeast, margarine, salt, sugar and wheat flour was prepared by fermentation process. Hardness, cohesiveness and springiness of dough were selected as critical quality attributes. The critical formulations (yeast and water) and process (fermentation time) variables were selected as critical input variables based on preliminary experiment. Box-Behnken design (BBD) was used as RSM. As a result, the quardratic, the squared and the linear model respectively provided the most appropriate fit (R2>90) and had no significant lack of fit (p>0.05) on critical quality attributes (hardness, cohesiveness and springiness). The accurate prediction of dough characteristics was possible from the selected models. It was confirmed by validation that a good correlation was obtained between the actual and predicted values. In conclusion, the methodologies using RSM in this study might be applicable to the optimization of fermented foods containing various wheat flour and yeast.

Airline schedules are highly dependent on various factors of uncertainties such as unfavorable weather conditions, mechanical problems, natural disaster, airport congestion, and strikes. If the schedules are not properly managed to cope with such disturbances, the operational cost and performance are severely affected by the delays, cancelations, and so forth. This is described as a disruption. When the disruption occurs, the airline requires the feasible recovery plan returning to the normal operations in a timely manner so as to minimize the cost and impact of disruptions. In this research, an Ant Colony Optimization (ACO) algorithm with re-timing strategy is developed to solve the recovery problem for both aircraft and passenger. The problem consists of creating new aircraft routes and passenger itineraries to produce a feasible schedule during a recovery period. The suggested algorithm is based on an existing ACO algorithm that aims to reflect all the downstream effects by considering the passenger recovery cost as a part of the objective function value. This algorithm is complemented by re-timing strategy to effectively manage the disrupted passengers by allowing delays even on some of undisrupted flights. The delays no more than 15 minutes are accepted, which does not influence on the on-time performance of the airlines. The suggested method is tested on the real data sets from 2009 ROADEF Challenge, and the computational results are compared with the existing ones on the same data sets. The method generates the solution for most of problem set in 10 minutes, and the result generated by re-timing strategy is discussed for its impact.

PURPOSES: Pavement Management System contains the data that describe the condition of the road. Under limited budget, the data can be utilized for efficient plans. The objective of this research is to develop a mixed integer program model that maximizes remaining durable years (or Lane-Kilometer-Years) in road maintenance planning. METHODS: An optimization model based on a mixed integer program is developed. The model selects a cluster of sectors that are adjacent to each other according to the road condition. The model also considers constraints required by the Seoul Metropolitan Facilities Management Corporation. They select two lanes at most not to block the traffic and limit the number of sectors for one-time construction to finish the work in given time. We incorporate variable cost constraints. As the model selects more sectors, the unit cost of the construction becomes smaller. The optimal choice of the number of sectors is implemented using piecewise linear constraints. RESULTS: Data (SPI) collected from Pavement Management System managed by Seoul Metropolitan City are fed into the model. Based on the data and the model, the optimal maintenance plans are established. Some of the optimal plans cannot be generated directly in existing heuristic approach or by human intuition. CONCLUSIONS: The mathematical model using actual data generates the optimal maintenance plans.

흰목이(Tremella fuciformis)는 전 세계적으로 약 40여종이 있으며, 아열대, 열대, 온대지방 등에서 폭넓게 분포하고 있다. 흰목이는 중국고전에서 양귀비가 즐겨먹었다고 나올 정도로 예로부터 미의 상징으로 여겨지기도 하였다. 실제로 흰목이 추출물이 세포의 멜라닌형성 억제를 유도하여 피부미백효과가 있고, UV 자극 손상으로 유발되는 주름을 예방하여 주름개선 효과를 나타낸다고 알려져 있다. 또한 흰목이는 미용에 관련 된 효과 뿐 아니라 당뇨병과 고혈압에서도 효능을 가지고 있고, 면역력을 높여주어 항암효과가 있다고 밝혀져 있다. 흰목이는 중국 사천성에서 최초로 재배했다고 기록되어 있으며, 현재는 중국과 동남아시아에서 생산되고 있다. 중국에서는 이미 흰목이 대량인공재배에 성공하였으나, 국내에서는 대량인공재배에 관한 연구가 많이 이루어지지 않고있다. 따라서 대량인공재배에 관한 연구를 하기 전 단계로, 흰목이의 표준 재 배법 확립을 위한 최적 배양조건을 구명하기 위해, 농과원에서 분양받은 흰목이 균주를 이용하여 실험을 진행하였다. 배지 종류로는 PDA, MCM, YM, CDA 등 4종류를 이용하였고, 배양실(25°C)에서 흰목이 균주의 최적 배양조건을 탐색하였다.