The advent of big data has brought about the need for analytics. Natural language processing (NLP), a field of big data, has received a lot of attention. Topic modeling among NLP is widely applied to identify key topics in various academic journals. The Korean Society of Industrial and Systems Engineering (KSIE) has published academic journals since 1978. To enhance its status, it is imperative to recognize the diversity of research domains. We have already discovered eight major research topics for papers published by KSIE from 1978 to 1999. As a follow-up study, we aim to identify major topics of research papers published in KSIE from 2000 to 2022. We performed topic modeling on 1,742 research papers during this period by using LDA and BERTopic which has recently attracted attention. BERTopic outperformed LDA by providing a set of coherent topic keywords that can effectively distinguish 36 topics found out this study. In terms of visualization techniques, pyLDAvis presented better two-dimensional scatter plots for the intertopic distance map than BERTopic. However, BERTopic provided much more diverse visualization methods to explore the relevance of 36 topics. BERTopic was also able to classify hot and cold topics by presenting ‘topic over time’ graphs that can identify topic trends over time.

Interest in the rammed construction method using eco-friendly materials is increasing in modern architecture. However, the work of construction is not convenient and will require a lot of manpower and time. This study proposes an automation compactor consisting of a compactor frame, crank arm, servo motor, wire, and a compactor hammer. The compactor hammer is fixed on the wire to achieve up-down movement by servo motor. And the state of up-down movement of the proposed compactor in 4 steps was had a dynamic analyzed. Through the actual compression experiment, the reliability of the proposed compactor is verified and is expected to be used in rammed earth construction.

공간 샘플링은 공간모델링 연구에 활용되어 샘플링 비용을 줄이면서 모델링의 효율성을 높이는 역할을 한다. 농업분야에서는 기후변화 영향을 예측하고 평가하기 위한 고해상도 공간자료 기반 모델링에 대한 연구 수요가 빠르게 증가하고 있으며, 이에 따라 공간 샘플링의 필요성과 중요성이 증가하고 있다. 본 연구는 국내 농지 공간샘플링 연구를 통해 농업분야 기후변화연구의 공간자료 활용의 효율성을 제고하고자 하였다. 본 연구는 층화랜덤샘플링 을 기반으로 하였으며, 1 km 해상도의 농지 공간격자자료 모집단 (11,386개 격자)에 대해서 RCP 시나리오별 (RCP 4.5/8.5) 연대별 (2030/2050/2080년대) 공간샘플링을 설 계하였다. 국내 농지는 기상 및 토양 특성에 따라 계층화 되었으며, 샘플링 효율 극대화를 위해 최적 층화 및 샘플 배정 최적화를 수행하였다. 최적화는 작물수량, 온실가스 배출량, 해충 분포 확률을 포함하는 16개 목표 변수에 대해 주어진 정밀도 제한 내에서 샘플 수를 최소화하는 방향으로 진행되었다. 샘플링의 정밀도와 정확도 평가는 각각 변동계수 (CV)와 상대적 편향을 기반으로 하였다. 국내 농지 공간격자 모집단 계층화 및 샘플 배정 및 샘플 수 최적화 결과, 전체 농지는 5~21개 계층, 46~69개 샘플 수 수준에서 최적화되었다. 본 연구결과물들은 국내 농업시스템 대표 공간격자로써 널리 활용될 수 있을 것으로 기대된다. 또한, 기후변화 영향예측 공간모델링 연구들에 활용되어 샘플링 비용 및 계산 시간을 줄이면서도 모델의 효율성을 높이는 데에 기여할 수 있다.

Topic modeling has been receiving much attention in academic disciplines in recent years. Topic modeling is one of the applications in machine learning and natural language processing. It is a statistical modeling procedure to discover topics in the collection of documents. Recently, there have been many attempts to find out topics in diverse fields of academic research. Although the first Department of Industrial Engineering (I.E.) was established in Hanyang university in 1958, Korean Institute of Industrial Engineers (KIIE) which is truly the most academic society was first founded to contribute to research for I.E. and promote industrial techniques in 1974. Korean Society of Industrial and Systems Engineering (KSIE) was established four years later. However, the research topics for KSIE journal have not been deeply examined up until now. Using topic modeling algorithms, we cautiously aim to detect the research topics of KSIE journal for the first half of the society history, from 1978 to 1999. We made use of titles and abstracts in research papers to find out topics in KSIE journal by conducting four algorithms, LSA, HDP, LDA, and LDA Mallet. Topic analysis results obtained by the algorithms were compared. We tried to show the whole procedure of topic analysis in detail for further practical use in future. We employed visualization techniques by using analysis result obtained from LDA. As a result of thorough analysis of topic modeling, eight major research topics were discovered including Production/Logistics/Inventory, Reliability, Quality, Probability/Statistics, Management Engineering/Industry, Engineering Economy, Human Factor/Safety/Computer/Information Technology, and Heuristics/Optimization.

In this study, a motion control problem for the vessels towed by tugboats or towing ships on the sea is considered. The towed vessel looks like the barge ship, which is used for many purposes. In these vessels, basically, the power propulsion system is not installed but just towed by a towing vessel such as tugboats with ropes and wires. It means that the motions of towed vessel are basically dependent on the tracking route of towing boat. Therefore, in some cases, undesirable and unpredictable motions may be made by environmental factors such as wave, wind attack and so on. As a result, a collision accident with others may occur during maneuvering situation. Based on these facts, the authors try to encourage the steering performance of the towed vessel by using controllable rudders without any propulsion system. In this study, especially, a controllable vessel with three rudders is considered, and a mathematical model is induced for the future study. The model is described as surge, sway motion and inertia moment by following the general representation method for the surface ship.

This study aimed to create 3D-printed insoles for flat-footed senior men using 3D systems. 3D systems are product-manufacturing systems that use 3-dimensional technologies like 3D scanning, 3D modeling, and 3D printing. This study used a 3D scanner (NexScan2), 3D CAD programs including Rapidform, AutoCAD, SolidWorks, Nauta+ compiling program, and a 3D printer. In order to create insoles for flat-footed senior men, we analyzed horizontal sections of 3D foot scans We selected 20 flatfooted and 20 normal-footed subjects. To make the 3D insole models, we sliced nine lines on the surface of the subjects’ 3D foot scans, and plotted 144 points on the lines. We calculated the average of these 3D coordinates, then located this average within the 3D space of the AutoCAD program and created 3D sole models using the loft surface tools of the SolidWorks program. The sole models for flat feet differed from those of normal feet in the depth of the arch at the inner sideline and the big toe line. We placed the normal-footed sole model on a flat-footed sole model, and the combination of the two models resulted in the 3D insole for flat feet. We printed the 3D modeled insole using a 3D printer. The 3D printing material was an acrylic resin similar to rubber. This made the insole model flexible and wearable. This study utilized 3D systems to create 3D insoles for flat-footed seniors and this process can be applied to manufacture other items in the fashion industry as well.

This paper develops a LED fishing lamp mounting system which slides in and out a LED fishing lamp mounting rack according to fishing situation of a fishing boat. Sliding mechanism of the LED fishing lamp mounting system is realized with a rack and pinion. Components of the LED fishing lamp mounting system are modeled with finite elements. In addition, the LED fishing lamp mounting system is modeled with rigid bodies. A rigid body model of the LED fishing lamp mounting system is interfaced with finite element component models to develop a computational model of the LED fishing lamp mounting system. A simulation is performed with the developed computational model for dynamic stress analysis of the LED fishing lamp mounting system. A bouncing, rolling, and pitching motion which describe a very rough sea are used as input conditions for the simulation. Six cases are considered for the simulation based on the number of fishing lamp and the location of sliding rack.

Obtaining and applying information is considered as a critical task in the modern informationized society. Finding the one's necessary information and processing it into a detailed knowledge are becoming more priortized in the enormous amount of information. Data modelling is the process that does not only reflect the demands of the user but the one that also facilitates the user's comprehension of the model itself. Ultimately, data modelling fully supports the processes that are requisite for the implementation of a data base and minimizes the alternations of the model during the development of applications.

In this study, an analytical realization of end-milling system was introduced using recursive parametric modeling analysis. Also, the numerical mode analysis of end-milling system with different conditions was performed systematically. In this regard, a recursive least square modelling algorithm and the natural mode for real part and imaginary one was discussed. This recursive approach (RLSM) can be adopted for on-line end-milling identification. After experimental practice of the end-milling, the end-milling force was obtained and it was used for the calculation of FRF (Frequency response function) and mode analysis. Also the FRF was analysed for the prediction of a end-milling system using recursive algorithm.

The developed network CAD system in this work has the sharing of functions, which consist of client and server. In recent years, distributed system has been applied to many industry to make a work cooperated. The developed system which consists of client and server as P2P type is implemented by COM/DCOM and CAD kernel technology to share the functions on network. Here, Requester is a client and provider is server. Developed system in this study is to share the functions among the systems with P2P structure. All systems which are linked on local network can use the functions of the other systems. The important things to construct this kind of distributed CAD system are transferring the 3D model data and accessing the location of providers. This system can perform many operations by using other systems multiply. Some of the operations performed and tested by the developed CAD system are Boolean operation, getting properties, triangulation and tessellation.

본 연구는 묘의 생육을 최대화하기 위하여 생육 단계를 임의로 구분하고 각 단계 별 적정 환경 조건을 확립함에 목적을 두었다. 생육 단계는 총 20일의 배양기간을 6일(1단계), 7일(2단계), 7일(3단계)의 3단계로 구분하였다. 첫 번째 단계는 활착기로서 환경 처리 별 생육에 큰 차이가 나타나지 않았다. 높은 환경 조건에 의한 잎의 장해를 고려하였을 때, 80μmmol·m-2·s-1 의 PPFD 및 대기 중의 CO2 농도가 적합하였다. 두 번째 단계에서는 PPFD 및 CO2 조건이 높아짐에 따라 건물 중을 중심으로 부분적으로 향상되었다. 에너지 효율과 생육을 고려할 때, 160μmmol·m-2·s-1 의 PPFD와 700μmmol·mol-1의 CO2가 적합할 것으로 생각되었다. 세 번째 단계에서는 PPFD 및 CO2 농도가 높아짐에 따라 유의적으로 생육이 향상되었으며, 잎 및 마디의 발달상태도 현저히 향상되었다. 따라서 보다 적극적으로 생육증진을 고려할 때, 320μmmol·m-2·s-1 PPFD와 1800μmol·mol-1의 CO2가 적합할 것으로 생각되었다. 생육 단계별 환경 조절은 초기단계에 상대적으로 낮은 조건을 유지하고 후기단계에서 충분한 조건을 제공함으로써 건전한 묘를 생산할 수 있고 에너지 및 물질의 투입량을 절약할 수 있다.

Recently, Korean shipbuilding industry is keeping up the position of world wide No. 1 in world shipbuilding market share. It is caused by endless efforts to develope new technologies and methods and fast development of IT technologies in Korea, to raise up its productivities and efficiency in shipbuilding industry with many kinds of optimizing methods including genetic algorithm or artificial life algorithm... etc. In this paper, we have suggested the artificial life algorithm with relay search micro genetic algorithm. and we have improved a defect of simple genetic algorithm for its slow convergence speed and added a variety of solution candidates with applying relay search simple genetic algorithm. Finally, we have developed intelligent agent system for ship CAE modeling. We have tried to offer some conveniences a ship engineer for repeated ship CAE modeling by changing ship design repeatedly and to increase its accuracy of a ship model with it.