• Journal of The Geomorphological Association of Korea
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• v.26 no.1
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• pp.79-91
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• 2019

This study analyzed the distribution of fluvial landforms, fault-related geomorphic features and lineaments around the area of Ungchon-Ungsang in the Dongrae Fault, and discusses the charateristics of geomorphic development based on those. As a result, the NE-SW lineaments are predominantly developed in many numbers within the study area, and the NW-SE or N-S secondary lineaments are developed induced by multiple deformation with the Yangsan Fault. Geomorphologically, the early tectonic history of the Ungchon-Ungsang basin is largely divided into three stages ; 1) the Tertiary fault activity and formation of fracture zone, 2) development of erosional basin, 3) local crustal movements and development of fault-related topography. It is assumed that alluvial fans, deflected channel and stream piracy were formed by local tectonic movements related to faultings during the Quaternary.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.79-86
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• 2021

In order to increase the probability of success in big data projects, quantified techniques are required to analyze the root cause of risks from complex causes and establish optimal countermeasures. To this end, this study measures risk factors and relationships through SNA analysis and presents a way to respond to risks based on them. In other words, it derives a dependency network matrix by utilizing the results of correlation analysis between risk groups in the big data projects presented in the preliminary study and performs SNA analysis. In order to derive the dependency network matrix, partial correlation is obtained from the correlation between the risk nodes, and activity dependencies are derived by node by calculating the correlation influence and correlation dependency, thereby producing the causal relationship between the risk nodes and the degree of influence between all nodes in correlation. Recognizing the root cause of risks from networks between risk factors derived through SNA between risk factors enables more optimized and efficient risk management. This study is the first to apply SNA analysis techniques in relation to risk management response, and the results of this study are significant in that it not only optimizes the sequence of risk management for major risks in relation to risk management in IT projects but also presents a new risk analysis technique for risk control.

• Journal of Industrial Convergence
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• v.19 no.6
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• pp.59-66
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• 2021

Globally, the prolonged pandemic of COVID-19 (COVID-19) has had a great impact on all industries. In particular, in the field of education, online classes (non-face-to-face) had some negative perceptions of online classes, such as lack of preparation for learning and student dissatisfaction with the class. According to the current situation survey in 2020, non-face-to-face classes accounted for about 56% of the class, and streaming real-time classes and video content-based classes accounted for most of the class. This study empirically analyzes the problems to be solved by online classes through the 2020-2021 survey (software application practical class university students), and explains the detailed program and development plan (implementation result). This study intends to contribute to the development of online learning development of each educational institution after the end of the corona crisis.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.79-87
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• 2021

This study suggests a design process for vibrotactile interface that can apply haptic perception factors reflecting human tactile mechanisms. This process consists of 4 stages: the haptic sense requirement analysis stage, the haptic element analysis stage, the haptic perception factor analysis stage, the haptic requirement detailed design, and the prototype implementation stage. The advantage of this design process is that unnecessary tasks can be excluded in deriving and implementing user requirements, by applying haptic perception factor analysis, and the biggest feature is that research results on ergonomic mechanisms can be reflected in the haptic design, completes prototype development simultaneously while determining the haptic requirements statement by performing user evaluation, usability testing, and haptic feature optimization tasks simultaneously. This design process includes all stages from user requirements to haptic function detailed design and prototype implementation, so it is expected that general developers who lack expertise in haptic will also be able to design user-centered designs, enabling design and implementation of haptic functions at a certain level.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.79-88
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• 2021

Scientific software requires a development process different from conventional application software due to its unique characteristics, such as expert-level deep domain knowledge requirements. In this study, we proposed a V & V development process based on RE (Reverse Engineering) and TDD (Test-Driven Development) for software development for science. We also configured a virtual scenario for the actual project, applied it, checked the procedure, and refined it. The development process of this study, suggested for the purpose of developing scientific software, will contribute to the development and application of the software that can provide high quality and high reliability. And This study is expected to serve as an opportunity for the development of scientific software and the spread of research.

• The Journal of the Korea Contents Association
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• v.21 no.8
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• pp.367-375
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• 2021

The quality of medical care can be defined as four types such as effectiveness, efficiency, adequacy, and scientific-technical quality. For the management of scientific-technical aspects, medical institutions annually disseminate the latest knowledge in the form of conservative education. However, there is an obvious limit to the fact that the latest knowledge is distributed quickly enough to the clinical site with only one-time conservative education. If intelligent information processing technologies such as big data and artificial intelligence are applied to the medical field, they can overcome the limitations of having to conduct research with only a small amount of information. In this paper, we construct databases on which the existing medicine prescription adaptations can be extended. To do this, we collect, store, manage, and analyze information related to oriental medicine at domestic and abroad Journals. We design a processing and analysis technique for oriental medicine evidence research data for the construction of a database of oriental medicine prescription extended adaption. Results can be used as a basic content of evidence-based medicine prescription information in the oriental medicine-related decision support services.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.314-315
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• 2019

소프트웨어 개발은 협업이 가장 중요시 되는 분야 중 하나로 팀 단위의 소프트웨어 개발의 품질 및 생산성 향상을 위해 팀 단위 프로젝트 방법론이 발달하였다. 방법론의 선택에 따라 개발의 결과물과 만족도에 큰 차이가 나타나게 되는데, 고전적인 폭포수(Waterfall) 방식의 대안인 애자일(Agile) 방법론은 점진적인 개발로 프로젝트 진행도중 발생하는 이슈처리를 효율적으로 해결할 수 있어 현재 많은 개발에 적용되고 있다. 그 중 스프린트 기법을 바탕에 두는 스크럼(Scrum)을 사용하는데 소규모 개발팀은 스크럼(Scurm)의 교육 부담과 스크럼 마스터의 부재로 해당 방법론을 적용하기 어려움을 겪는다. 이에 본 논문에서는 소프트웨어 공학의 애자일(Agile) 방법론 중 하나인 스크럼(Scrum)을 실제 프로젝트 관리 시스템의 도구로 사용하기 위해 웹 응용 시스템으로 구현하고자 하며 해당 서비스가 SW개발뿐 만 아닌 다양한 분야의 프로젝트에 적용될 수 있도록 한다. Spring 프레임워크를 이용하여 서버를 구축하고 AWS EC2를 통해 배포하며, BootStrap과 JQuery를 이용하여 웹을 구성하여 팀 프로젝트에 있어 효율적인 관리 도구가 될 수 있도록 한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.2
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• pp.51-62
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• 2022

This study suggests a design of predictive modeling for a hospital fall risk based on inpatients' posture. Inpatient's profile, medical history, and body measurement data along with basic information about a bed they use, were used to predict a fall risk and suggest an algorithm to determine the level of risk. Fall risk prediction is largely divided into two parts: a real-time fall risk evaluation and a qualitative fall risk exposure assessment, which is mostly based on the inpatient's profile. The former is carried out by recognizing an inpatient's posture in bed and extracting rule-based information to measure fall risk while the latter is conducted by medical staff who examines an inpatient's health status related to hospital fall risk and assesses the level of risk exposure. The inpatient fall risk is determined using a sigmoid function with recognized inpatient posture information, body measurement data and qualitative risk assessment results combined. The procedure and prediction model suggested in this study is expected to significantly contribute to tailored services for inpatients and help ensure hospital fall prevention and inpatient safety.

• Smart Media Journal
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• v.9 no.4
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• pp.66-72
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• 2020

As the online education market expands, educational contents with various presentation methods are being developed and released. In addition, it is imperative to develop content that reflects the usability and user environment of users who use this educational content. However, for qualitative growth of contents that will support quantitative expansion of markets, existing model analysis methods are urgently needed at a time when development direction of newly developed contents is secured. In this process of content development, a typical model for setting development goals is needed, as the rules of the prototype affect the entire development process and the final development outcome. It can also provide a positive benefit that screens the issue of performance dualization between processes due to the absence of communication between a single entity or between a number of entities. In the case of AR-based educational content which is effective to secure data necessary for development by securing samples of similar categories because there are not enough ready-made samples released. Therefore, a big data statistical analysis service is needed that can easily collect data and make decisions using big data. In this paper, we would like to design analysis services that enable the selection and detection of intuitive multidimensional factors and attributes, and propose big data-based statistical analysis services that can assist cooperative activities within an organization or among many companies.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.259-264
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• 2019

This paper proposes an image prediction system architecture for deep running in enterprise environment. Easily transform into an artificial intelligence platform for an enterprise environment, and allow sufficient deep-running services to be developed and modified even in Java-centric architectures to improve the shortcomings of Java-centric enterprise development because artificial intelligence platforms are concentrated in the pipeline. In addition, based on the proposed environment, we propose a more accurate prediction system in the deep running architecture environment that has been previously learned through image forecasting experiments. Experiments show 95.23% accuracy in the image example provided for deep running to be performed, and the proposed model shows 96.54% accuracy compared to other similar models.