Self Organizing Map (SOM) is a neural network that is effective in classifying patterns that form the feature map by extracting characteristics of the input data. In this study, we propose an algorithm to determine the cell formation and the machine layout within the cell for the cell formation problem with operation sequence using the SOM. In the proposed algorithm, the output layer of the SOM is a one-dimensional structure, and the SOM is applied to the parts and the machine in two steps. The initial cell is formed when the formed clusters is grouped largely by the utilization of the machine within the cell. At this stage, machine cell are formed. The next step is to create a flow matrix of the all machine that calculates the frequency of consecutive forward movement for the machine. The machine layout order in each machine cell is determined based on this flow matrix so that the machine operation sequence is most reflected. The final step is to optimize the overall machine and parts to increase machine layout efficiency. As a result, the final cell is formed and the machine layout within the cell is determined. The proposed algorithm was tested on well-known cell formation problems with operation sequence shown in previous papers. The proposed algorithm has better performance than the other algorithms.

This study applied enneagram personality type system to improve the quality of life by efficient job placement for industrial workers. Applying the enneagram personality type system in a constantly changing business environment has a competitive edge in developing and utilizing workers' internal resources and capabilities. Each of enneagram nine type has characteristics such as core needs, motive and ability in job field, expression method and relationship. These characteristics can be used for efficient job placement of workers. In Korea, for the past 30 years when enneagram was introduced, educational programs for the public, teenagers and parents have been developed, but the professional programs for company were very poor. Therefore, educational programs development for professional business managers and workers are required.

Objectives of this study were to identify the hotspot for displacement of the on-line water quality sensors, in order to detect illicit discharge of untreated wastewater. A total of twenty-six water quality parameters were measured in sewer networks of the industrial complex located in Daejeon city as a test-bed site of this study. For the water qualities measured on a daily basis by 2-hour interval, the self-organizing maps(SOMs), one of the artificial neural networks(ANNs), were applied to classify the catchments to the clusters in accordance with patterns of water qualities discharged, and to determine the hotspot for priority sensor allocation in the study. The results revealed that the catchments were classified into four clusters in terms of extent of water qualities, in which the grouping were validated by the Euclidean distance and Davies-Bouldin index. Of the on-line sensors, total organic carbon(TOC) sensor, selected to be suitable for organic pollutants monitoring, would be effective to be allocated in D and a part of E catchments. Pb sensor, of heavy metals, would be suitable to be displaced in A and a part of B catchments.

This paper develops an algorithm to determine the batch size of the batch process in real time for improving production and efficient control of production system with multiple processes and batch processes. It is so important to find the batch size of the batch process, because the variability arising from the batch process in the production system affects the capacity of the production. Specifically, batch size could change system efficiency such as throughput, WIP (Work In Process) in production system, batch formation time and so on. In order to improve the system variability and productivity, real time batch size determined by considering the preparation time and batch formation time according to the number of operation of the batch process. The purpose of the study is to control the WIP by applying CONWIP production system method in the production line and implements an algorithm for a real time batch size decision in a batch process that requires long work preparation time and affects system efficiency. In order to verify the efficiency of the developed algorithm that determine the batch size in a real time, an existed production system with fixed the batch size will be implemented first and determines that batch size in real time considering WIP in queue and average lead time in the current system. To comparing the efficiency of a system with a fixed batch size and a system that determines a batch size in real time, the results are analyzed using three evaluation indexes of lead time, throughput, and average WIP of the queue.

동형건반배치는 타일 형태의 건반 악기에서 음의 배치를 일관되게 하는 방법으로 같은 방향의 이웃 건반에 같은 음정차이로 배치함으로써 일관된 음계배치가 가능하도록 하는 방법이다. 비교적 오래 전부터 사용되어 왔지만 최근에 다양한 현대적인 악기 설계나 소프트웨어적인 악기의 인터페이스에서 적용함으로써 주목받아오는 방법이다. 여기에는 서로 다른 다양한 배치 방법들이 제안되어 왔으나 몇 가지가 존재하는 지 서로 어떤 관계에 있는 지 등에 대한 연구가 거의 이루어져 있지 않다. 본 논문에서는 이러한 동형건반배치에 대해 분류 방법을 제시하고 이들 간의 관계에 대해서 분석한다. 이는 기존에 알려져 있는 것보다 훨씬 적은 수의 동형건반배치 종류가 존재함을 보이고 분류의 틀을 마련하여 동형건반배치에 대한 연구의 기반을 제시하였다. 이를 바탕으로 좀 더 체계적인 분 석과 연구가 이루어 질 것으로 기대되며 다양한 음악용 인터페이스를 개발하는 데 활용할 수 있을 것으로 기대한다. 이러한 연구는 음악 교육용 게임에서 기본적인 요소인 음정, 화성, 화음, 음계 등 을 이해하도록 트레이닝 시키는 데 매우 중요한 역할을 할 것으로 보인다.

Both theoretical and experimental investigations were conducted to analyze defrosting behavior of a window heater operating in the low outdoor temperature(-20℃). To achieve this purpose, first a warm-chamber experiment(23℃) were performed to measure inner and outer surface temperature of the rear window as functions of both time and position. Secondly, a cold chamber experiment was made to continuously record defrosting process of the frosted window. Therefore this study was carried out to presume for mutual relation of analysis condition to get the optimum temperature distribution by three-way layout. The results shown that coefficient of determination has a fine reliability over 99.77%, 99.85% and temperature distribution is made by three-way layout.

The push-out tests have been conducted on the specimens which consist of the steel beam with U-shape section and the cap-type shear connectors with constant intervals. Existing equations for the evaluation of shear connector strength have been investigated on the basis of test results. The reinforcing bars for longitudinal reinforcement and the penetrative bars for transverse reinforcement didn’t have much effect on the shear capacity of the cap-type shear connector. The larger the width of cap-type shear connector was profiled, the greater the shear strength turned. The shear capacities of cap-type shear connectors with constant intervals were evaluated on the basis of push-out test results, and those were possible to be determined with proper safety margin using the Eurocode 4. The slip capacity of cap-type shear connector was shown to exceed the limit value of 6mm for sufficiently ductile behavior.

It is very crucial activities that Korean army have to detect and recognize enemy’s locations and types of weapon of their artillery firstly for effective operation of friendly force’s artillery weapons during wartime. For these activities, one of the most critical artillery weapon systems is the anti-artillery radar (hereafter; radars) for immediate counter-fire operations against the target. So, in early wartime these radar’s roles are very important for minimizing friendly force’s damage because arbiters have to recognize a several enemy’s artillery positions quickly and then to take an action right away. Up to date, Republic of Korea Army for tactical artillery operations only depends on individual commander’s intuition and capability. Therefore, we propose these radars allocation model based on integer programming that combines ArcGIS (Geographic Information System) analysis data and each radar’s performances which include allowable specific ranges of altitude, azimuth (FOV; field of view) and distances for target detection, and weapons types i.e., rocket, mortars and cannon ammo etc. And we demonstrate the effectiveness of their allocation’s solution of available various types of radar asset through several experimental scenarios. The proposed model can be ensured the optimal detection coverage, the enhancement of artillery radar’s operations and assisting a quick decision for commander finally.

Long-span marine bridges are generally designed as long-span bridges in order to secure the running route of the ship and reduce the cost and time of the bridge pier construction. In long-span bridges, the range of load resistance transmitted by the superstructure and cable is determined by the mast and foundation. In the other words, the range of designable span length would be determined by the mast and foundation condition. The floating bridge is a type in which the superstructure is supported by the force of buoyancy without the pier mounted on the seabed so that the buoyancy of the floating bridge is balanced by the dead load and buoyancy of the structure. As a technique to overcome the weakness of existing long span bridges, it is possible to consider the type of cable supported bridges with floating tower. In this study, according to the tendon arrangement and initial tension distribution, the static global performance of the long-span bridges with floating tower were evaluated.

부석사는 신라가 삼국을 통일한 혼란한 시기에 의상이 개창하여 우리나라 화엄종의 근본도량으로 자리잡은 고찰이다. 부석사의 창건주인 의상은 삼국사기, 송고승전(宋高僧傳) 등의 기록을 통하여 불교적 역량뿐 아니라 풍수지리적으로도 높은 식견을 가지고 부석사라는 좋은 입지를 찾고자 노력하였고, 부석사 터는 애초부터 풍수지리적으로 상당한 길지였음을 알수 있다. 부석사 터에 대한 지형답사와 위성지도 등을 활용한 객관적이고 정밀한 지형분석을 하여 풍수지리적으로 명당길지임을 확인하였고, 정확한 혈처의 위치와 풍수지리적 공간구조의 형세를 규명하였다. 그리고 부석사는 명당공간의 기운을 효과적으로 향유(享有)하기 위하여 경사지고 협소한 지형공간에 다른 사찰에서는 볼수 없는 특이한 건축구조와 가람배치를 하였음을 확인하였다. 본 연구를 통하여 부석사의 가람배치는 풍수지리적인 공간활용방안이었음을 고찰하였다.

함정 외부 탑재 장비의 복잡한 형상에 의해서 발생하는 다중반사는 경로를 예측하기 어렵고 높은 RCS(Radar Cross Section) 의 원인이 된다. 따라서 함정의 외부 탑재 장비의 최적배치 설계가 RAS(Radar Absorbing Structure) 방법으로 고려되어야 한다. 본 논문에 서는 함정 외부 탑재 장비에서 발생하는 다중반사와 RCS를 최소화하기 위하여 함정 외부 탑재 장비 최적배치를 수행하였다. 외부 탑 재 장비 최적배치에 사용된 알고리즘은 순차적 내림차순 방법을 이용하였다. 함정 외부 탑재 장비 최적배치를 수행하기 위하여 LCS-2 type을 해석 모델로 선정하였다. 계산 비용을 줄이기 위해서 장비의 기여도 분석 및 다중반사 경로 분석 등을 통해 최적 배치를 수행 할 장비를 선정하였고 최적배치를 통해 RCS가 최소가 되는 최적배치 위치를 도출하였다. 또한 RCS 변화에 따른 레이다의 탐지거리 변 화율을 이용하여 RCS 감소효과를 분석 하였다.

현행 방제선 배치 항만의 합리적인 방안을 모색하고자 국내 주요 항만을 대상으로 이용실태와 위험요인의 분포현황을 조사하 여 각 항만별 위험도를 평가하고 위험도 산정 값을 기준으로 전체 항만을 4단계의 위험군으로 분류하여 방제선 배치 항만의 현실화를 추 구하였다. 그 결과 항만의 위험도는 대규모 석유화학 산업시설이 위치하고 있는 여수·광양항(1.85), 울산항(1.33), 대산항(1.25)이 특히 높게 나타나고, 선박 통항량이 많은 부산항(0.95), 인천항(0.83)과 최근 항만시설의 확충으로 대형선 통항량이 증가한 목포항(0.71)과 제주항 (0.49), 주변에 어업권 허가건수가 많은 마산항(0.44) 순서로 나타났다. 또한, 위험도 값이 가장 높게 나타난 여수·광양항을 기준으로 각 항 만의 상대적 비율을 등급화하여 위험군을 4단계로 구분했을 때 최고위험군은 여수·광양항, 울산항, 대산항, 부산항이고, 고위험군은 인천 항, 목포항, 제주항, 마산항이며, 중위험군은 평택·당진항, 포항항, 군산항, 동해·묵호항, 저위험군은 삼천포항, 옥계항, 장승포항으로 분류 되었다. 이 중 현행 법률상 방제선 배치항만은 모두 중위험군 이상의 항만이며 중위험군으로 새롭게 평가되는 목포항, 제주항, 동해·묵호 항은 제외되어 있다. 따라서 이들 3개 항만을 방제선 배치항만으로 새롭게 지정하여 기름오염사고에 대비할 필요가 있다.