• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1301-1311
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• 2017

Manufacturing big data systems have supported decision making that can improve preemptive manufacturing activities through collection, storage, management, and predictive analysis of related 4M data in pre-manufacturing processes. Effective visualization of data is crucial for efficient management and operation of data in these systems. This paper presents visualization techniques that can be used to effectively show data collection, analysis, and prediction results in the manufacturing big data systems. Through the visualization technique presented in this paper, we have confirmed that it was not only easy to identify the problems that occurred at the manufacturing site, but also it was very useful to reply to these problems.

• Geomechanics and Engineering
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• v.12 no.3
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• pp.483-503
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• 2017

Uncertainty is a fact belonging to engineering practice. An important uncertainty that sets geotechnical engineering is the variability associated with the properties of soils or, more precisely, the characterization of soil profiles. The reason is due largely to the complex and varied natural processes associated with the formation of soil. Spatial variability analysis for the study of the stability of natural slopes, complementing conventional analyses, is able to incorporate these uncertainties. In this paper the characterization is performed in back-analysis for a case of landslide occurred to verify afterwards the presence of the conditions of shear strength at failure. This approach may support designers to make more accurate estimates regarding slope failure responding, more consciously, to the legislation dispositions about slope stability evaluation and future design. By applying different kriging techniques used for spatial analysis it has been possible to perform a 3D-slope reconstruction. The predictive analysis and the areal mapping of the soil mechanical characteristics would support the definition of priority interventions in the zones characterized by more critical values as well as slope potential instability. This tool of analysis aims to support decision-making by directing project planning through the efficient allocation of available resources.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.221-228
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• 2006

To reform and improve the productivity of construction industry, 1) it should be encouraged to improve the construction production process and 2) it is required to enhance reliability of construction information based on the systematic thinking process. To promote the information reliability created during construction production process, Lean Construction Research Center(LRC2) is developing a supporting system to improve processes of design/supply/construction phase, functioning to efficiently manage the information created at each phase and developing a web based construction information system that provides result management/decision making support/knowledge based information services.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.1
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• pp.44-51
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• 2016

Recently, artificial intelligence has reached the level of top information technologies that will have significant influence over many aspects of our future lifestyles. In particular, in the fields of machine learning technologies for classification and decision-making, there have been a lot of research efforts for solving estimation and control problems that appear in the various kinds of portfolio management problems via data-driven approaches. Note that these modern data-driven approaches, which try to find solutions to the problems based on relevant empirical data rather than mathematical analyses, are useful particularly in practical application domains. In this paper, we consider some applications of modern data-driven machine learning methods for portfolio management problems. More precisely, we apply a simplified version of the sparse Gaussian process (GP) classification method for classifying users' sensitivity with respect to financial risk, and then present two portfolio management issues in which the GP application results can be useful. Experimental results show that the GP applications work well in handling simulated data sets.

• International Journal of Highway Engineering
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• v.17 no.3
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• pp.13-25
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• 2015

PURPOSES : This paper aims at the implementation of a balanced scorecard that can be widely applied to modern business management for use in the public road management sector. METHODS : This study applied the newly developed LOS-based balanced scorecard system instead of a traditional Key Performance Index (KPI) for better decision making in asset management planning. As an evaluation technique, a" hierarchical alignment and cascading method" is also suggested. Finally, the suggested system has been empirically applied to a regional government. RESULTS : To provide stable and sustainable road services, the balanced scorecard informs the regional government of needed improvements in its asset management plans regarding budget optimization, structural management, the development of inner-business processes, and human resources. CONCLUSIONS : An LOS-based balanced scorecard for managing road services and organizations in a quantitative manner has been successfully developed and tested through a field study. The developed scorecard is a timely topic and a useful analytical tool for coping with the new phases of an aging infrastructure, tighter budgets, and demand for greater public accountability.

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.280.2-286
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• 1998

Flood is the main natural disaster mostly in the world. It is a care problem to prevent flood disaster generally. The frequency of flood disaster is high and the distributing field is wide, the 50 percent population and 70 percent properties distribute at the threaten field of flood disaster in China. Flood disaster has caused a huge amount of economical losses and these losses have an increasing trend. Along with the development of reducing natural disaster action, it has become one of the most attentive problems for monitoring flood, preventing flood and forecasting flood efficiently. Remote sensing has the characteristics of large spatial observing areas, wide spectrum ranges, and imaging far away from the targets, imaging capabilities all weather. Spatial remote sensing information, which records the full, processes of the disaster's occurrence and development in real-time. It is a scientific basis for management, planning and decision-making. Through systemic analyzing the RS monitoring theory, based on compounding RS information, the technology and method of monitoring flood disaster are studied.

• The Korean Journal of Applied Statistics
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• v.15 no.1
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• pp.153-163
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• 2002

There seems to be a little trouble in delivering an effective teaching of statistics at the school of Business. Students attitude toward the understanding of mathematics appears to be one of the hindrances encountered to the wide spread use of statistics. Nevertheless, the usefulness of statistics is notably appreciated these days although students may not be aware of it. It is true that many processes of decision-making are based on various future uncertainties, however, decisions must be made at the present. In this synopsis, we would like to solve simple business problems, thereby, suggest more constructive ways to match the statistics with the interest of management. We, in the mean time, will talk about the understanding of business, method of teaching, and Monte Carlo education.

• Journal of Engineering Education Research
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• v.17 no.1
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• pp.42-49
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• 2014

The main purposes of this study was to develop evaluation model, which provides program educational objectives(PEO) evaluation research with guidances on how to evaluate the program educational objectives and procedures in order to enhance the quality of engineering education. Educational objective evaluation is reciprocal processes that depend on and affect one another. Thus, the evaluation component deals with how to identify members' strengths, weakness, and needs, how to assess and improve the effectiveness of curriculum programs, and how to provide data that assist in decision making. After literature reviews about the case studies on the program educational objectives evaluation, this study, to understand the meaning of education evaluation and the engineering accreditation, and then, examined the evaluation model for program educational objectives. This study suggested evaluation components of program educational objectives. In particular, the distinctions between diagnostic, formative, and summative evaluation are discussed. The result of this study is significant in terms of guiding the future evaluation model development for program educational objectives.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.2 no.3
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• pp.74-82
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• 1999

This study is aimed to establish the development plannings for the sustainable tourism of Yongyoo Island and Mooeui Island, neighboring areas of Youngjong Island, for the conservation and environmentally friendly use of Korean coastal wetlands. The concepts of sustainable tourism is described. The current development status and its problems of Youngjong Island and its neighboring areas are analysed. The development plannings for sustainable tourism of Yongyoo Island and Mooeui Island are suggested as follows : (1) The small scale tourism development projects, which are able to represent region's own characteristics, instead of large scale ones, should be performed. (2) The participation of community people should be guaranteed at the beginning stage of the decision making processes for tourism development projects. Additionally, the profits of the development should be fairly distributed among community people. (3) The coastal wetlands should be conserved and their sewage disposal capacity should be protected by way of the minimization of reclamation. (4) The coastal wetlands should be developed into the tourist resorts utilizing migratory birds as tourism resources. In addition, the carrying capacity of the coastal wetlands, which is based on the current status of ecosystems and the Environmental Impact Assessment(EIA), should be calculated.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.2 no.3
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• pp.64-73
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• 1999

The purpose of this study is to establish the management plannings for the conservation and environmentally friendly use of Korean coastal wetlands. The function, economic value, and the necessity for the conservation of coastal wetlands are described. The current management status, Korean Governmental policies for the use of coastal wetlands, and their problems are surveyed and analysed. The management plannings for the environmentally friendly use of Korean coastal wetlands is suggested as follows: (1) The coastal wetlands need to be divided into 3 different regions based on PSR(Pressure, State, Response) of OECD. (2) Each region should be managed by appropriate management plans which are suggested in Chapter IV of this paper. Finally, in order to realize these management plannings the change of Governmental system and laws are suggested as follows: (1) The change of relevant laws is required. Additionally, each region should managed by proper governmental agencies. (2) The EIA(Environmental Impact Assessment) system should be improved. (3) The participation of regional people should be guaranteed in the decision making processes of the business and other important planning regarding coastal wetlands. (4) The system which primed the ecological value of coastal wetlands should be established.