• 실천공학교육논문지
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• 제12권1호
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• pp.31-39
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• 2020

빅데이터 분석은 경영 및 산업현장에서 다양하게 분석되고 사용되고 있으며, 경영의사결정에서 중요한 역할을 한다. 경영분석 업무에 종사하는 빅데이터 분석 직무자의 직무능력은 반드시 미시적인 IT 기술 습득이 요구되는 것이 아니라, Data Scientist로서 다양한 경험과 인문학적 지식과 분석력이 요구되어진다. 그러나, 국가직무능력표준(NCS: National Competency Standards)을 기반으로 하는 국공립 교육기관 및 직무교육기관의 빅데이터 교육은 소프트웨어 공학적 측면에서 진행되고 있으며, 이러한 교육 방법론은 비 기술기반 전공자에게는 어렵고, 비효율적인 결과를 초래하기도 한다. 따라서, 우리는 현재의 빅데이터 플렛폼과 그와 관련된 기술을 분석하여, 그 중에서 현장 직무자에게 반드시 필요한 직무능력 요구수준이 무엇인지를 정의하였다. 그리고, 이를 바탕으로 비 기술기반 전공자를 위한 빅데이터 분석 및 시각화 기법 교육과정을 구성하였다. 특화된 본 교육과정을 경영현장에서 경영분석에 종사하는 금융기관 실무자를 중심으로 Pilot test를 실시한 결과 좀 더 개선된 교육효과를 얻을 수 있었다. 이에 본 연구에서 제시되는 교육방법은 산업전반에서 효율적으로 빅데이터 직무 수행과, 비 기술기반 전공 직무자를 대상으로 빅데이터 분석 및 시각화 교육이 활성화되는 계기가 될 것이다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 추계학술대회 논문집 전력기술부문
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• pp.299-301
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• 2008

For an efficient operation of today's power system, power engineers are required to analyze enormous amount of data. Owing to the development of technology, a variety of power systems computational tools have been developed and commercialized. However, the practical use of computational tools not only requires that people be able to understand the results the tools produce but also extract the required information from the simulation results which generally involves massive amount of information. This paper introduces a novel interface that would complement the drawbacks in the visualization of data of the pre-existing tools and assist the user in readily retrieving the required information, in this case the rotor angle data, of the simulated system thereby making power system analysis more feasible to be effectuated.

• Journal of Multimedia Information System
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• 제3권4호
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• pp.161-168
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• 2016

In this paper, a power flow simulator, which visualizes power flow and system configuration, is proposed and implemented. Generally, it is necessary to prepare a text file with power-system descriptions, which is one of the barriers for power-flow simulations. The proposed simulator has a function of automatic generations of IEEE common data format files from user-drawn power-system diagrams. Therefore, it is possible for users to carry out simulations only by drawing power system on display. In addition, the proposed simulator also has a function that power-system diagram is illustrated automatically from an IEEE common data format file. By using this function, it is possible to visualize amounts and directions of power flows on the bus-system diagram, which helps users to comprehend network dynamics intuitively. Because the proposed simulator allows including renewable-resource generators in power systems, it is useful to evaluate the power distribution system. It is shown in this paper that the proposed simulator can make IEEE common data format files correctly and illustrate intuitive power flow.

• Journal of Multimedia Information System
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• 제3권3호
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• pp.47-52
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• 2016

This research paper examines the usage of graphic imaging in Holographic Projections to further advance the medical field. It highlights the importance and necessity of this technology as well as avant-garde techniques applied in the process of displaying images in digital holography. This paper also discusses the different types of applications for holograms in society today. Different tools were utilized to transfer a set of a cancer patient's brain tumor data into data used to produce a 3D holographic image. This image was produced through the transfer of data from one program to another. Through the use of semi-automatic segmentation through the seed region method, we were able to create a 3D visualization from Computed Tomography (CT) data.

• 대한기계학회논문집A
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• 제30권5호
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• pp.488-495
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• 2006

The demand for the use of 3D CAD data over the Internet environment has been increased. However, transmission of 3D CAD data has delayed the communication effectiveness because of the CAD data size. Lightweight CAD file design methodology is required for rapid transmission in the distributed environment. In this paper, to derive lightweight CAD files from commercial CAD systems, a file translation system producing a native file is constructed first by using the InterOp and API of the ACIS kernel. Using the B-rep model and mesh data extracted from the native file, the lightweight CAD file with topological information is constructed as a binary file. Since the lightweight CAD file retains topological information, it is applied to the dimensional verification, digital mock-ups and visualization of CAD files. Effectiveness of the proposed lightweight CAD file is confirmed through various case studies.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 2002년도 추계 학술발표회 논문집
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• pp.51-60
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• 2002

In this study we developed the visualization scheme of spatial ground-motion measurements in real time by using DSS data. Even though this scheme itself is useful for national earthquake mitigation plans, this scheme could be served as the crucial core for constructing rapid earthquake damage evaluation system. DSS is the abbreviation of Data Subscription Service and this is the pre-assigned request for the seismic stations to send very limited brief data with high priority and negligible transmission load. In addition to visualize the damage area with intensity, the corresponding epicenter can be estimated roughly for quick event alarm. For the interpolation of spatially irregular PGA data, the program, named as surface. of GMT was used with NetCDF grid file format. Since the grid file is similar to a postscript file, the program, called as shading, was coded with C language by using Matpak library in order to convert grid files into image files.

• 응용통계연구
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• 제26권6호
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• pp.999-1007
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• 2013

이 연구는 다음 몇 가지 경우에 적용 가능한 '움직이는 데이터 그림(moving data pictures)'을 제안 한다: 1) 한국어 텍스트의 단어 구름(word cloud), 2) n ${\times}$ p 행렬의 시각화(matrix visualization), 3) p ${\times}$ p 산점도 행렬의 동영상 버전, 4) k개 개체 군집의 동적 시각화 등. 이들 기법은 데이터에 내재된 숨은 정보와 시각적 아름다움을 드러내고 정보 소비자들의 흥미를 점화할 수 있다.

• 산업경영시스템학회지
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• 제34권2호
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• pp.60-67
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• 2011

Since the non-metric Multidimensional scaling (nMDS), a data visualization technique, provides with insights about engineering, economic, and scientific applications, it is widely used for analyzing large non-metric multidimensional data sets. The nMDS requires a fitness function to measure fit of the proximity data by the distances among n objects. Most commonly used fitness functions are nonlinear and have a difficulty to find a good configuration. In this paper, we propose a new fitness function, an absolute value type, and show its advantages.

• Journal of Information Technology Applications and Management
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• 제24권3호
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• pp.51-61
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• 2017

The objective of the study is to examine the acceptance and usability of Augmented Reality (AR) visuals developed for industry analysis of Thai Banks and whether these visuals can outperform the table of numbers in representing financial accounting data. Convenient samples were used and the data were collected with self-assessed questionnaires from 109 users with minimum prior experiences with financial analyses. The results from descriptive statistics indicates that despite having over 80% of respondents with little prior experience in analyzing financial performance of banking industry, the majority of them were able to correctly make prediction (96.4%), identify trend (82.6%) and compare banks' performance (70.6%). Their attitudes and perception towards Bank-AR visuals were above average. Although the overall usability score is average (53%), the respondents rated the Bank-AR visuals to be highly useful and had high intention to use them in the future.

• 한국항공운항학회지
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• 제29권2호
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• pp.84-93
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• 2021

Airline schedule is the most basic data for flight operations and has significant importance to an airline's management. It is crucial to know the airline's current schedule status in order to effectively manage the company and to be prepared for abnormal situations. In this study, machine learning techniques were applied to actual schedule data to examine the possibility of whether the airline's fleet state could be artificially learned without prior information. Given that the schedule is in categorical form, One Hot Encoding was applied and t-SNE was used to reduce the dimension of the data and visualize them to gain insights into the airline's overall fleet status. Interesting results were discovered from the experiments where the initial findings are expected to contribute to the fields of airline schedule health monitoring, anomaly detection, and disruption management.