• Journal of architectural history
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• v.23 no.6
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• pp.27-37
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• 2014

Early 20th century Singapore was faced with the problem of overcrowding. The attendant problems of a rapid increase in population density, namely the lack of proper housing and sanitation, resulted in the issue of an appropriate residential environment emerging as an important task in urban planning. It was necessary to construct housing estates in order to solve this issue. At that time, the British colonial government attempted to transplant modern technology into the construction process of a residential complex system. However, Singapore's climate and traditional lifestyle made it impossible to apply the British modern system in a straightforward manner, and in the process, a number of transformations emerged. With a specific focus on the Tiong Bahru estate, one of Singapore's representative public housing projects, from the 1930s through the 1950s, this study intends to look at the way in which such residential estates were assimilated into local surroundings, and the effect of the transplantation of British concepts of modern housing theory. Therefore, the study is divided into an examination of the estate both before and after the turning point of World War II. This study confirms that the difference between the pre-war and post-war planning strategies for the Tiong Bahru estate were made according to the concept of 'open space.'

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.821-829
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• 2000

Over the past decade, the topic of work breakdown structure (WBS) has gained an increasing amount of attention from information technology professionals as an effective tool for managing the complexity of a large-scale information system development project. It is a method for planning and controlling a large-scale information system development. A WBS provides the basis for project organization, cost estimation, task scheduling, and contract management. Based on the authors' practical experience, this paper discusses how to establish a specific WBS and some considerations for developing a well-defined WBS. The model of WBS suggested in this study will provide useful insight and guidelines for establishing the spec-ific WBS for a large-scale information systems development.

• Journal of Information Technology Application
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• v.2 no.1
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• pp.1-24
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• 2000

Project management in the Construction field inherently has more uncertainty and more risks relative to ones from other area. This is the very reason for why project management is recognized as the important task to construction companies. For getting better performance in the project management, we need a system that keeps the consistencies in a automatic or semi-automatic manner through the project management stages like as project definition stage, project planning stage, project design and implementation stage. But since the early stages such as definition and planning stages has many unstructured features and also are dependent to unique expertise or experience of a specific company, we have difficulty providing systematic support for the task of these stages. This kind of problem becomes harder to solve especially in the plant construction domain that is our target domain. Therefore, in this paper, we propose and also implement a systematic approach to resolve the problem mentioned for the early project management stages in the plant construction domain. The results of our approach can be used not only for the purpose of the early project management stages but also can be used automatically as an input to commercial project management tools for the middle project management stages. Because of doing in this way, the construction project can be consistently managed from the definition to implementation stage in a seamless manner. For achieving this purpose, we adopt knowledge based inference, CBR, and neural network as major methodologies and we also applied our approach to two real world cases, power plant and drainage treatment plant cases from a leading construction company in Korea. Since these two application cases showed us very successful results, we can say our approach was validated successfully to the plant construction area. Finally, we believe our approach will contribute to many project management problems from more broader construction area.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2045-2050
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• 2003

This paper describes the development of service robotic systems with the Tripodal schematic control architecture. We show practical advantages of the proposed architecture by giving examples of our experience. First, we explain how to add new task using Tripodal architecture approach. The Tripodal architecture provides some crucial organizing principles and core components that are used to build the basis for the system. Thus, the newly developed behaviors, motion algorithm, knowledge, and planning schemes are arranged so as to guarantee the efficiency of the performance of components. Second, we describe the reusability and scaleability of our architecture by introducing the implementation process of the guide robot Jinny. Most of modules developed for former robots like PSR-1 and PSR-2 systems are used directly to the Jinny system without significant modification. Experimental results clearly showed that the developed strategy is useful, even if the hardware configurations as well as software algorithms are more complex and more accumulating.

• International Journal of Contents
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• v.16 no.3
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• pp.33-44
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• 2020

Small and medium enterprises need a wide range of information regarding technologies, industries, market conditions, other companies, and products to facilitate identification of new growth opportunities and to respond quickly to changes in the business environment. Collecting such information, however, requires the input of resources (human resources, cost, and time), and the lack of marketability resulting from the shortage of such resources is often cited as the reason small and medium often fail in their effort to commercialize their technology. The purpose of this study was to analyze the environmental factors such as market concentration and the current level of competition to enable companies to make the necessary decisions when considering market entry following R&D planning and technology commercialization, or after the development of a new product. Also, an expert-based 5FORCE analysis can be performed using the KMAPS, an industry and market intelligence system: this facilitates automatic production of analyses based on the corporate finance and transaction data. The key contribution of the study is that it facilitates conveniently and quickly analyzing the 5 Forces, which had been a difficult task in the environmental analysis, and that the outcomes of this study empower companies in the decision-making process.

• Journal of Aerospace System Engineering
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• v.8 no.3
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• pp.27-33
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• 2014

The CubeSat, which was first launched to verify new technologies and for educational purposes, is now widely used as an educational tool since it makes possible development of manpower through practical training to produce the satellite at low development costs. At present, research and development on the CubSat is rapidly expanding in domestic and foreign universities. As one of the final 3 teams selected in the 2013 CUBE SATELLITE CONTEST organized by the Ministry of Science, ICT and Future Planning, Chosun University is also currently conducting R & D of STEP Cube Lab, which is a CubeSat scheduled to be launched in 2015 and whose main task is to verify space-based technologies in orbit. The present paper tries to present an overview of the CubeSat of Chosun University whose development is being led by its undergraduate students, and further, introduce the strengths of the present development program for developing space experts, based on the educational achievements from the R & D.

• Korean Management Science Review
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• v.21 no.2
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• pp.145-165
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• 2004

Frequently. lots of organizations have experienced the value discrepancy between the expected value and the realized value from IS (information systems) investments. Being positive or negative the difference is. however, the existence of discrepancy itself is an evidence of less-than-sound management and measurement of IS projects. Analyzing the factors that cause such discrepancy has become an issue of scrutiny both in academia and in practice. We model which factors. as predictors, will affect the value discrepancy, as dependent variables. in IS investment. This research will establish and examine the research model. the validity of category classification of value discrepancy factors and the perceptual level of IS value discrepancy by survey research. As a result of the survey research. the strategic alignment. the proper system design for staffs. the project planning capability. and interdepartmental task cooperation are perceived as the factors that significantly affect the value discrepancy. And known as IS success factors such as the managerial support, the change management, the standardized process. and the competitive investment are not significant factors. The research findings will provide and emphasize useful implications which factors should be deliberately investigated in IS investment both for practices considering IS deployment and for academia.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.921-924
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• 2007

토목, 건축과 관련된 노동현장은 여느 3D 업종들과 마찬가지로 숙련된 기능공의 부재 및 산업재해 발생으로 인해 어려움을 겪고 있으며 이를 극복하기 위한 노력을 계속하고 있다. 대표적인 토목공사인 토공 작업 역시 위험 혹은 유해한 작업환경으로 인해 토공장비의 안전사고 및 생산성과 품질저하가 발생하며 이를 방지하기 위한 장비의 지능화가 절실하게 요구되고 있다. 이를 위해 최근 지능형 굴삭 시스템 개발을 위한 연구가 진행되고 있으며, 토공작업은 일반적으로 광범위한 작업영역을 가지기 때문에 지능형 굴삭시스템의 개발을 위해서는 효율적인 작업을 수행할 수 있도록 하는 작업계획의 수립이 매우 중요하다. 본 연구에서는 작업계획의 대상을 굴삭로봇과 토사로 구분하였으며, 글로벌 영역에서 단위작업 영역, 로컬 영역으로의 분할을 통해 전체 작업 진행에 대해 효율적으로 작업계획을 수립할 수 있도록 구성하여 계획단계에서부터 토공작업 자동화 및 효율와에 기여하고자한다. 토공작업계획 시스템은 토공 작업자 및 감독자의 작업 특성 및 노하우를 컴퓨터, 즉 두뇌에 부여함으로써 숙련된 장비조종자의 작업 방법 및 특성을 반영하여 토공 작업 프로세스 모델링을 구축하고 실제 작업환경상의 센서에 의해 측정된 데이터를 실제 작업환경과 동일하게 모델링된 컴퓨터내의 가상환경을 바탕으로 영역분할, 최적 플랫폼 위치선정 및 작업 순차생성을 통해 최적의 토공작업계획을 수립할 수 있도록 한다.

• Korean Journal of Agricultural Science
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• v.48 no.3
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• pp.617-627
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• 2021

In the field of on-road motor vehicles, the level for autonomous driving technology is defined according to J3016, proposed by Society of Automotive Engineers (SAE) International. However, in the field of agricultural machinery, different standards are applied by country and manufacturer, without a standardized classification for autonomous driving technology which makes it difficult to clearly define and accurately evaluate the autonomous driving technology, for agricultural machinery. In this study, a method to classify the autonomy levels for autonomous agricultural machinery (ALAAM) is proposed by modifying the SAE International J3016 to better characterize various agricultural operations such as tillage, spraying and harvesting. The ALAAM was classified into 6 levels from 0 (manual) to 5 (full automation) depending on the status of operator and autonomous system interventions for each item related to the automation of agricultural tasks such as straight-curve path driving, path-implement operation, operation-environmental awareness, error response, and task area planning. The core of the ALAAM classification is based on the relative roles between the operator and autonomous system for the automation of agricultural machines. The proposed ALAAM is expected to promote the establishment of a standard to classify the autonomous driving levels of self-propelled agricultural machinery.

• Environmental Engineering Research
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• v.24 no.2
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• pp.220-237
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• 2019

Solid waste management (SWM) is one of the poorly rendered services in developing countries - limited resources, increasing population, rapid urbanization and application of outdated systems leads to inefficiency. Lack of proper planning and inadequate data regarding solid waste generation and collection compound the SWM problem. Decision makers need to formulate solutions that consider multiple goals and strategies. Given the large number of available options for SWM and the inter-relationships among these options, identifying SWM strategies that satisfy economic or environmental objectives is a complex task. The paper develops a mathematical model for a municipal Integrated SWM system, taking into account waste generation rates, composition, transportation modes, processing techniques, revenues from waste processing, simulating waste management as closely as possible. The constraints include those linking waste flows and mass balance, processing plants capacity, landfill capacity, transport vehicle capacity and number of trips. The linear programming model integrating different functional elements was solved by LINGO optimization software and various possible waste management options were considered during analysis. The model thus serves as decision support tool to evaluate various waste management alternatives and obtain the least-cost combination of technologies for handling, treatment and disposal of solid waste.