• International Journal of Knowledge Content Development & Technology
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• v.7 no.4
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• pp.85-106
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• 2017

The purpose of this study is to measure and analyze the quality of service provided to the users by evaluating the service quality of the May 18 Democratic Uprising Archives, which is a representative,special subject repository, using the SERVQUAL model. To do this, revealing the relationship between factors such as service satisfaction of the archive users, overall service quality and intention of the action. Through this, this study developed service evaluation factors by considering the special subject repository.

• Structural Engineering and Mechanics
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• v.72 no.1
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• pp.31-41
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• 2019

Structural integrity assessment of piping components is of paramount important for remaining life prediction, residual strength evaluation and for in-service inspection planning. For accurate prediction of these, a reliable fracture parameter is essential. One of the fracture parameters is stress intensity factor (SIF), which is generally preferred for high strength materials, can be evaluated by using linear elastic fracture mechanics principles. To employ available analytical and numerical procedures for fracture analysis of piping components, it takes considerable amount of time and effort. In view of this, an alternative approach to analytical and finite element analysis, a model based on relevance vector machine (RVM) is developed to predict SIF of part through crack of a piping component under fatigue loading. RVM is based on probabilistic approach and regression and it is established based on Bayesian formulation of a linear model with an appropriate prior that results in a sparse representation. Model for SIF prediction is developed by using MATLAB software wherein 70% of the data has been used for the development of RVM model and rest of the data is used for validation. The predicted SIF is found to be in good agreement with the corresponding analytical solution, and can be used for damage tolerant analysis of structural components.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.1
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• pp.155-167
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• 2012

Cloud computing service is a next generation IT service which has pay-per-use billing model and supports elastically provisioning IT infra according to user demand. However it has many potential threats originating from outsourcing/supporting service structure that customers 'outsource' their own data and provider 'supports' infra, platform, application services, the complexity of applied technology, resource sharing and compliance with a law, etc. In activation of Cloud service, we need objective assessment standard to ensure safety and reliability which is one of the biggest obstacles to adopt cloud service. So far information security management system has been used as a security standard for a security management and IT operation within an organization. As for Cloud computing service it needs new security management and assessment different from those of the existing in-house IT environment. In this paper, to make a Information Security Management System considering cloud characteristics key components from threat management system are drawn and all control domain of existing information security management system as a control components are included. Especially we designed service security management to support service usage in an on-line self service environment and service contract and business status.

• IEMEK Journal of Embedded Systems and Applications
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• v.19 no.1
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• pp.47-55
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• 2024

We spend a lot of time in indoor space, and the space has a huge impact on our lives. Interior design plays a significant role to make an indoor space attractive and functional. However, it should consider a lot of complex elements such as color, pattern, and material etc. With the increasing demand for interior design, there is a growing need for technologies that analyze these design elements accurately and efficiently. To address this need, this study suggests a deep learning-based design analysis system. The proposed system consists of a semantic segmentation model that classifies spatial components and an image classification model that classifies attributes such as color, pattern, and material from the segmented components. Semantic segmentation model was trained using a dataset of 30000 personal indoor interior images collected for research, and during inference, the model separate the input image pixel into 34 categories. And experiments were conducted with various backbones in order to obtain the optimal performance of the deep learning model for the collected interior dataset. Finally, the model achieved good performance of 89.05% and 0.5768 in terms of accuracy and mean intersection over union (mIoU). In classification part convolutional neural network (CNN) model which has recorded high performance in other image recognition tasks was used. To improve the performance of the classification model we suggests an approach that how to handle data that has data imbalance and vulnerable to light intensity. Using our methods, we achieve satisfactory results in classifying interior design component attributes. In this paper, we propose indoor space design analysis system that automatically analyzes and classifies the attributes of indoor images using a deep learning-based model. This analysis system, used as a core module in the A.I interior recommendation service, can help users pursuing self-interior design to complete their designs more easily and efficiently.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.12
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• pp.1828-1840
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• 1993

In this paper, a centralized protocol model for videoconference service over a wide-area-network is presented. the model is comprised of three distinct components : clients, server and mixer. The server handles all can management functions, and the mixer performs realtime traffic mixing. The control and data are separated, flowing over separated connections in the model. A set of new protocols are defined : call management protocol, media transport protocol, and multimedia synchronization protocol. This paper also presents the functional design of the mixer.

• Structural Engineering and Mechanics
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• v.17 no.1
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• pp.29-50
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• 2004

A total life model was developed to assess the service life of aging aircraft. The primary focus of this paper is the development of crack growth life projection using the response surface method. Crack growth life projection is a necessary component of the total life model. The study showed that the number of load cycles N needed for a crack to propagate to a specified size can be linearly related to the geometric parameter, material, and stress level of the component considered when all the variables are transformed to logarithmic values. By the Central Limit theorem, the ln N was approximated by Gaussian distribution. This Gaussian model compared well with the histograms of the number of load cycles generated from simulated crack growth curves. The outcome of this study will aid engineers in designing their crack growth experiments to develop the stochastic crack growth models for service life assessments.

• Korea Journal of Hospital Management
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• v.22 no.3
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• pp.88-104
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• 2017

The purpose of this study explains how service characteristics such as service competence, service customization, interpersonal communication and image affect service trust and affective commitments and how service trust, affective commitment play a role in affecting risk-taking and service loyalty in specialty hospital. and then confirm the mediating role of relationship quality components such as service trust and affective commitment in the above path relation. For this purpose, the research hypothesis was verified by structural equation model analysis(SEM) using SPSS 21.0 and AMOS 20.0 statistical package. The results of the study are as follows. First, interpersonal communication influenced service trust, image influenced affective commitment, service ability influenced service trust and emotional commitment, while service customization did not affect any factor. Second, service trust and affective commitment did not effect each other. Third, service trust and affective commitment were more powerful in risk-taking than the influence on service loyalty. Fourth, Risk takings affected service loyalty. Therefore, marketers of special hospitals not only medical services by providing medical service with superior service ability, but also by always strengthening interpersonal communication at the time of providing services. This will enable consumers to overcome the avoidance in the service decision process and implement a specific service marketing strategy that can continuously use the hospital service.

• Journal of the Korean Society of Systems Engineering
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• v.20 no.spc1
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• pp.97-107
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• 2024

Efforts to respond to climate change are being made in various ways around the world, and in the energy field, continuous research and pilot projects are underway through new and renewable energy, efficient power grid management, and power grid services. Systems are in place to realize these efforts, and the systems created allow for better effectiveness. When implementing a system, systems engineering methodology helps design a more systematic system and can provide verification accuracy and uniformity through intuitive connectivity. In this paper, the original requirements of the power grid stabilization system and the architecture of the system's essential constraints are constructed as a conceptual model and the boundaries and flows between components are defined. By utilizing distributed resources such as EV(Electric Vehicle) and ESS(Energy Storage System) in the power service platform system, we plan to design and build a next-generation power service system that can participate in the power stabilization market and implement a system necessary to respond to climate change in the future.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.1
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• pp.145-180
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• 2019

This study was performed in order to derive components that users with disabilities demand first when using library services by analyzing the actual usages and demands of handicapped users according to different types of disabilities. The results of the study are as follows: First, the actual situation of library disabled users was analyzed according to types of disabilities. Second, the importance and satisfaction level of disability types were investigated for the main components of the library disability service. Third, major components of library services were analyzed using Borich's Needs Assessment Model for the disabled and ways of activating library services by types were suggested. Fourth, we analyzed the differences according to different purposes of use by the disabled within Borich's Model for the main items of library services. We also proposed a plan to meet the purpose of library use by each type. Fifth, we analyzed the differences by type of users in Borich's Model for the major items of library services and thus suggested solutions to improve library services by types of disabilities.

• Information Systems Review
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• v.5 no.1
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• pp.19-32
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• 2003

This paper develops a business model analysis framework and suggests a step-wise approach to the exploration of new business models. Three generic business model components, Value Change Model, Value Connection Model, and Value Complement Model, are identified based on their value propositions, and a composite of them, called Value Combination Model, is proposed. In order to integrate various value propositions from these business models, a business model analysis framework is also suggested. In order to test its real-world applicability, a case study is performed on the WLAN services and the effectiveness of the framework as a business model analysis tool is demonstrated.