• 디자인학연구
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• 제17권3호
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• pp.373-382
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• 2004

비디오 프로토콜 분석은 사람과 사람사이 그리고 사람과 기계사이의 상호작용을 이해하기 위해 디자인과 HCI를 포함한 많은 연구 분야에서 널리 사용되고 있는 효과적인 분석기법이다. 그러나 결과의 효용성에 비해 상당한 양의 시간과 노력이 필요하기 때문에 많은 제약을 가지고 있으며, 최근 각 분야의 특성에 맞춰 이런 분석작업을 손쉽게 하기 위해 일인용 컴퓨터를 기반으로 한 다양한 도구들이 개발되고 있다. 본 논문은 여러 프로젝트 참여자들이 함께 사용 가능한 협력지원 비디오 분석에 대해 살펴본다. 먼저 기존 비디오 분석도구의 문제점들과 함께 협업지원 분석도구의 필요성을 기술하고, 협업지원 비디오분석 도구를 위한 디자인기준을 규명한다. 이러한 기준을 바탕으로 개발한 프로토타입을 제시하고 예비평가를 통해 향후 개발방향에 대해 기술한다.

• Journal of Computing Science and Engineering
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• 제1권2호
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• pp.125-160
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• 2007

Data Warehousing and OLAP (On-Line Analytical Processing) have turned into the key technology for comprehensive data analysis. Originally developed for the needs of decision support in business, data warehouses have proven to be an adequate solution for a variety of non-business applications and domains, such as government, research, and medicine. Analytical power of the OLAP technology comes from its underlying multidimensional data model, which allows users to see data from different perspectives. However, this model displays a number of deficiencies when applied to non-conventional scenarios and analysis tasks. This paper presents an attempt to systematically summarize various extensions of the original multidimensional data model that have been proposed by researchers and practitioners in the recent years. Presented concepts are arranged into a formal classification consisting of fact types, factual and fact-dimensional relationships, and dimension types, supplied with explanatory examples from real-world usage scenarios. Both the static elements of the model, such as types of fact and dimension hierarchy schemes, and dynamic features, such as support for advanced operators and derived elements. We also propose a semantically rich graphical notation called X-DFM that extends the popular Dimensional Fact Model by refining and modifying the set of constructs as to make it coherent with the formal model. An evaluation of our framework against a set of common modeling requirements summarizes the contribution.

• Nuclear Engineering and Technology
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• 제41권6호
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• pp.765-774
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• 2009

For over 30 years, investigations of the thermohydraulic behavior of pressurized-water reactors under accident conditions have been carried out in the PKL test facility at AREVA NP in Erlangen, Germany. The PKL facility models the entire primary side and significant parts of the secondary side of a of pressurized water reactor at a height scale of 1:1. Volumes, power ratings and mass flows are scaled with a ratio of 1:145. The experimental facility consists of four primary loops with circulation pumps and steam generators (SGs) arranged symmetrically around the reactor pressure vessel (RPV). The investigations carried out encompass a very broad spectrum from accident scenario simulations with large, medium, and small breaks, over the investigation of shutdown procedures after a wide variety of accidents, to the systematic investigation of complex thermohydraulic phenomena. The PKL tests began in the mid 1970s with the support of the German Research Ministry. Since the mid 1980s, the project has also been significantly supported by the German PWR operators. Since 2001, 25 partner organizations from 15 countries have taken part in the PKL investigations with the support and mediation of the OECD/ NEA (Nuclear Energy Agency). After an overview of PKL history and a short description of the facility, this paper focuses on the investigations carried out since the beginning of the international cooperation, and shows, by means of some examples, what insights can be derived from the tests.

• 한국지능시스템학회논문지
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• 제16권5호
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• pp.635-641
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• 2006

Ship's collision avoidance is a skill that masters of merchant marine vessels have acquired through years of experience and that makes them feel at ease to guide their ship out from danger quickly compared to inexperienced officers. Case based reasoning (CBR) uses the same technique in solving tasks that needs reference from variety of situations. CBR can render decision-making easier by retrieving past solutions from situations that are similar to the one at hand and make necessary adjustments in order to adapt them. In this paper, we propose to utilize the advantages of CBR in a support system for ship's collision avoidance while using fuzzy algorithm for its retrieval of similar navigational situations, stored in the casebase, thus avoiding the cumbersome tasks of creating a new solution each time a new situation is encountered. There will be two levels within the Fuzzy-CBR. The first level will identify the dangerous ships and infer the new case. The second level will retrieve cases from casebase and adapt the solution to solve for the output. While CBR's accuracy depends on the efficient retrieval of possible solutions to be adapted from stored cases, fuzzy algorithm will improve the effectiveness of solving the similarity to a new case at hand.

• 동아시아경상학회지
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• 제9권4호
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• pp.17-28
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• 2021

Purpose - This article aims to explore the mechanism in which environmental regulations have positive effects on corporate competitiveness through technological innovation. This study also attempts to examine the relationship between environmental regulation and corporate competitiveness from a technological innovation perspective and explore a desirable relationship between those two. Research design, data, and methodology - Discourse analysis and SWOT analysis is used in terms of methodology, and this study is based on literature review theoretically. The methodology is employed in various ways to describe a variety of environmental issues. Result - The results support that technological innovation is able to play a role in coordinating relationship between environmental regulations and corporate competitiveness. The uncertainty and time lag problems innate to technological innovation function as disturbing factors for individual companies to actively increase R&D investment in response to environmental regulations. Environmental regulations may be considered to be working as a factor consolidating corporate competitiveness through technological innovation to respond to the environmental regulations including climate change issue. Conclusion - This study proposes that to achieve two goals of environmental protection and corporate competitiveness consolidation, policy support from various aspects is implied to be required. This implies that environmental regulations and technical innovation must be harmoniously balanced for future corporate success.

• 한국IT서비스학회지
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• 제20권5호
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• pp.147-158
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• 2021

The digital transformation and COVID-19 are also causing major changes in teaching-learning methods. The biggest change is the spread of remote training and the emergence of various innovative learning platforms. Distance education has been criticized for not meeting technology trends and field demands..However, the problem of distance education is being solved through a system that supports various interactions and collaborations and supports customized learning paths. The researcher conducted a case study on domestic and foreign learning platforms that provide non-face-to-face ICT education. Based on the case study results, the researcher presented the functional characteristics of a learning platform that effectively supports non-face-to-face learning. In common, these sites faithfully supported the basic functions of the information system. In addition to learning progress check and learning guidance, some innovative learning platforms were providing differentiated functions in practice support, performance management, mentoring, learning data analysis, curation provision, and CDP support. Most learning platforms supported one-way, superficial interaction. If the platform effectively supports a variety of learning experiences and provides an integrated learning experience thanks to the development of IT technology, user satisfaction with the learning platform, intention to continue learning, and achievement will increase.

• Geomechanics and Engineering
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• 제30권2호
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• pp.107-121
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• 2022

Coal pillar assessment is of broad importance to underground engineering structure, as the pillar failure can lead to enormous disasters. Because of the highly non-linear correlation between the pillar failure and its influential attributes, conventional forecasting techniques cannot generate accurate outcomes. To approximate the complex behavior of coal pillar, this paper elucidates a new idea to forecast the underground coal pillar stability using combined unsupervised-supervised learning. In order to build a database of the study, a total of 90 patterns of pillar cases were collected from authentic engineering structures. A state-of-the art feature depletion method, t-distribution symmetric neighbor embedding (t-SNE) has been employed to reduce significance of actual data features. Consequently, an unsupervised machine learning technique K-mean clustering was followed to reassign the t-SNE dimensionality reduced data in order to compute the relative class of coal pillar cases. Following that, the reassign dataset was divided into two parts: 70 percent for training dataset and 30 percent for testing dataset, respectively. The accuracy of the predicted data was then examined using support vector classifier (SVC) model performance measures such as precision, recall, and f₁-score. As a result, the proposed model can be employed for properly predicting the pillar failure class in a variety of underground rock engineering projects.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.558-565
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• 2013

The process and efficiency of monitoring building and construction violations is a concern of the construction industry. The detection of violations requires appropriate and sufficiently accurate spatial information to manage and support a comprehensive inspection process and monitor compliance. A building inspection workflow must extract appropriate spatial and measurement in-formation from a variety of sources, identify potential violations across a range of compliance criteria and determine the quality of resulting inspection reports. This paper presents a framework for supporting building inspections using spatial information and methods to detect construction violations and compliance. Current inspection processes involve issues around the identification of building violations, access to building regulations and existing spatial information, integration of a range of spatial and non-spatial information, and the quality of decisions within the inspection workflows. A survey of building inspectors was conducted and used together with the issues identified to establish the requirements for a spatial inspection framework. The results demonstrate how such a framework can support improved decision-making and reduced fieldwork effort in detecting and measuring the accuracy of building violations involving building placements, street offsets and footprint areas.

• 시큐리티연구
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• 제43호
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• pp.37-65
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• 2015

이 연구는 자살테러에 대한 개인의 태도와 참여의 의사 등에 영향을 미치는 종교적인 특성과의 관계를 이해하기 위한 목적이 있다. 특히, 자살테러에 대한 태도와 참여의사와 종교에는 상관관계가 있는 것으로 알려져 있으나, 이에 관한 정확한 메커니즘을 밝힌 경험적 연구가 드물다. 이에 따라 종교와 자살테러에 대한 의견의 관계를 설명하는 이론적 배경에는 논의가 지속되고 있다. 즉, 개인의 종교적 헌신이 영향을 미친다는 종교적 신념가설과 종교적 헌신자체 보다는 종교의식에의 참여로 인한 공동체의식에의 강화 등을 통한 자살테러의 지지를 주장하는 협력적 참여가설이 그것이다. 이에 따라, 이 연구는 중동의 3개국, 이집트, 파키스탄, 그리고 모로코의 시민들을 대상으로 수행한 사회의식설문데이터를 사용하여 경험적 데이터 분석을 통해서 선행연구들에 근거하여 종교적 신념가설에 근거하여 종교의 중요성과 신에게 기도하는 시간 등의 요인들이 자살테러에 대한 지지에 어떠한 영향을 미치는 지 여부를 검증하고, 협력적 참여가설에 근거하여 종교의식에의 참여여부가 자살테러에 대한 지지에 매개 또는 중재의 역할을 하는 지 여부를 분석하였다. 그리고 그외의 개인의 자살테러에 대한 태도에 영향을 미치는 요인들로 잘 알려져 있는 인구통계학적 요인들과 다양한 관련요인들이 연구 분석에 포함되었다. 연구 분석결과, 이 두가지 가설에 대해서 부분적인 지지의 연구결과를 발견하였다. 즉, 종교적 신념가설 변수들 중, 신의 중요성과 종교의 중요성을 제외하고, 종교적 기도시간의 빈도만이 중동시민들의 자살테러에 대한 지지를 감소시키는 요인이었다. 이어서 협력적 참여가설의 종교적 예배의식의 참여가 상관요인인 것으로 나타났으나, 가설에서 주장하는 방향과 일치하지 않았다. 즉, 예배의식의 참여의 빈도가 높아질수록 자살테러에 대해 부정적 태도를 견지한 것이다. 마지막으로 이 연구의 논의에서 연구결과에 대한 논의와 정책적, 학문적 함의 및 후속연구에 대한 제안 등이 논의되었다.

• 한국콘텐츠학회논문지
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• 제19권9호
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• pp.81-91
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• 2019

최근 우리나라는 급격한 고령화와, 급격한 산업화로 인한 가족의 역할 약화로 고령자 부양 자체의 문제나 부양의 질적 하락과 같은 다양한 문제를 겪고 있다. 이 중 부양의 질적 측면에서 고령자의 정서 지지에 관한 문제가 주요한 이슈가 되고 있다. 이런 정서적 지지에 관한 문제는 다양한 물적 인적 지원을 통해 해결하는 것이 가장 좋은 해결책일 것이다. 그러나, 여러 가지 한계로 인해 자원의 효율적 이용 차원의 접근이 시도되고 있으며 그중 디지털 기술의 융합을 통한 지원 노력에 주목할 필요가 있다. 본 연구에서는 고령화 현상으로 인한 고령자 수발 인력난의 문제와 수발 서비스의 질적 하락 문제 중 정서 측면의 문제에 주목하고, 디지털 기술의 융합을 통해 정서 측면을 지원하기 위해 디지털 기술이 어떠한 형태로 접목되었는지 사례를 분석하였다. 그중 스마트 스피커를 통한 고령자 지원의 가능성을 확인하고 스마트 스피커를 통한 정서적 지원을 제안하였다. 또한 중년 고령자를 대상으로 스마트 스피커의 사용성 평가와 함께 인뎁스 인터뷰를 진행함으로써 중년 고령자의 정서 지지를 위한 스마트 스피커 대화체계 가이드라인을 제안하였다. 본 연구결과를 토대로 고령자의 정서 지지를 위한 스마트 스피커 개발 시 대화체계 디자인을 위한 기초자료가 될 수 있을 것으로 기대 된다.