• Journal of Software Engineering Society
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• v.29 no.1
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• pp.1-6
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• 2020

Recently, software has taken up an increasing share of the weapons system. The software development environment is also becoming very diverse. In the field of weapons software, software technical documents, source codes, and execution files are standardized as defense standards material. Through defense standards, the software file lists and development environments for creating software execution files are required to be documented. However, additional efforts to rebuild the software development environment are needed to recreate the software execution file based on defense standards material after the end of R&D. Therefore, in this study, we propose an improvement method for the quality of software standards material using virtualization technology. This is expected to reduce efforts to rebuild the software development environment and solve problems caused by discontinuation of the development environment.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.1
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• pp.15-21
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• 2020

This study analyzes the results of applying the ISO19030 (hull and propeller performance monitoring method) standard to an actual 178 k bulk vessel. Recently, there have been many attempts to apply various energy reduction solutions to vessels to continuously strengthen GHG reduction regulations and secure maritime competitiveness. However, it is not easy to quantitatively analyze the performance of a ship. To resolve these problems, shipping companies, marine paint companies, ship owners, and transportation associations have appointed specialists and standardized the ISO19030 (standard of hull and propeller performance monitoring method) guidelines in 2016 after three years of continuous review. The ISO19030 standard provides methods to monitor hull and propeller performance quantitatively through standardized procedures, thus allowing ship managers to arrive at informed decisions for hull and propeller maintenance, and to evaluate energy-saving solutions and ship-maintenance efficiency. The ISO19030 standard provides a method of analyzing the ship's own performance by collecting the ship's operation and agency data and correcting its environmental and operating factors. In this paper, we apply the ISO19030 standard to three actual ships and propose the ISO19030 application result and the improvement point of the current ISO19030 standard.

• Journal of Broadcast Engineering
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• v.12 no.6
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• pp.565-573
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• 2007

In this paper, we propose a method to select motion vector predictor by considering prediction structure of a multi view content for coding efficiency of multi view coding which is being standardized in JVT. Motion vector of a different tendency is happened while carrying out temporal and view reference prediction of multi-view video coding. Also, due to the phenomena of motion vectors being searched in both temporal and view order, the motion vectors do not agree with each other resulting a decline in coding efficiency. This paper is about how the motion vector predictor are selected with information of prediction structure. By using the proposed method, a compression ratio of the proposed method in multi-view video coding is increased, and finally $0.03{\sim}0.1$ dB PSNR(Peak Signal-to-Noise Ratio) improvement was obtained compared with the case of JMVM 3.6 method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2060-2077
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• 2019

Recently, mobile healthcare services have attracted significant attention because of the emerging development and supply of diverse wearable devices. Smartwatches and health bands are the most common type of mobile-based wearable devices and their market size is increasing considerably. However, simple value comparisons based on accumulated data have revealed certain problems, such as the standardized nature of health management and the lack of personalized health management service models. The convergence of information technology (IT) and biotechnology (BT) has shifted the medical paradigm from continuous health management and disease prevention to the development of a system that can be used to provide ground-based medical services regardless of the user's location. Moreover, the IT-BT convergence has necessitated the development of lifestyle improvement models and services that utilize big data analysis and machine learning to provide mobile healthcare-based personal health management and disease prevention information. Users' health data, which are specific as they change over time, are collected by different means according to the users' lifestyle and surrounding circumstances. In this paper, we propose a prediction model of user physical activity that uses data characteristics-based long short-term memory (DC-LSTM) recurrent neural networks (RNNs). To provide personalized services, the characteristics and surrounding circumstances of data collectable from mobile host devices were considered in the selection of variables for the model. The data characteristics considered were ease of collection, which represents whether or not variables are collectable, and frequency of occurrence, which represents whether or not changes made to input values constitute significant variables in terms of activity. The variables selected for providing personalized services were activity, weather, temperature, mean daily temperature, humidity, UV, fine dust, asthma and lung disease probability index, skin disease probability index, cadence, travel distance, mean heart rate, and sleep hours. The selected variables were classified according to the data characteristics. To predict activity, an LSTM RNN was built that uses the classified variables as input data and learns the dynamic characteristics of time series data. LSTM RNNs resolve the vanishing gradient problem that occurs in existing RNNs. They are classified into three different types according to data characteristics and constructed through connections among the LSTMs. The constructed neural network learns training data and predicts user activity. To evaluate the proposed model, the root mean square error (RMSE) was used in the performance evaluation of the user physical activity prediction method for which an autoregressive integrated moving average (ARIMA) model, a convolutional neural network (CNN), and an RNN were used. The results show that the proposed DC-LSTM RNN method yields an excellent mean RMSE value of 0.616. The proposed method is used for predicting significant activity considering the surrounding circumstances and user status utilizing the existing standardized activity prediction services. It can also be used to predict user physical activity and provide personalized healthcare based on the data collectable from mobile host devices.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.400-405
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• 2011

The total length of Korean urban railways reaches 1,200km. Urban railway used to be installed with ballasted tracks by reason of low cost at the time of construction, slab tracks are now being installed due to the reasons of the improvement in safety, lengthening service life and more economical method in terms of maintenance. The length rate of slab tracks has exceeded 70% of the domestic urban railways with the methods ranging from STEDEF, LVT, ALT, Eidan-type, B2S to RHEDA. This study surveyed the share of domestic slab tracks, and compared and evaluated the input cost at the initial stage by the types of slab tracks. Construction processes have been standardized by the existing design documents and calculated the initial input cost for the length of 1km of a hypothetical straight line. Cost breakdown structure was evaluated as materials cost, construction cost, equipment cost, indirect cost, etc. It is expected that this study will be used in selection & evaluation which is considering the economic feasibility of slab tracks.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.707-716
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• 2018

Purpose: This study aims to analyze the management performance and production efficiency of strawberry farmers who introduced smart farming, one of the primary symbols of the fourth industrial revolution in the agricultural sector. Methods: We conducted an empirical survey of strawberry farms using smart farming and analyzed production efficiency using DEA method. Results: First, difficulties for strawberry farmers introducing smart farming included time and money spent on parts replacement and additional costs due to compatibility problems with existing facilities after the adoption. Second, strawberry farmers using smart farming increased their total income by producing higher yield and improving quality thanks to the competent growth management. Third, the analysis of production efficiencies before and after smart farming found improvement in technical efficiency, pure technical efficiency, and scale efficiency. But, the gaps in technical and scale efficiencies among the farms widened. Conclusion: Based on the results above, following policy suggestions are offered. First, an environment control technology suitable for strawberry farming needs to be developed. Second, the smart farming technology needs to be standardized by the government. Third, new smart farm models need to be developed to accommodate to the facilities and environment in Korea through collecting big data including high-quality data on the environment, growth, and yield. Fourth, continuing education needs to be provided to narrow the gap in smart farming technology among strawberry farmers.

• Journal of Korean Clinical Nursing Research
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• v.14 no.3
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• pp.141-151
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• 2008

Purpose: This study aimed at applying a standardized nursing process to adult surgery patients of post anesthetic care unit, and examining the validity of linkages in the measuring index of nursing outcome by which nursing outcome was applied. Method: The subjects were 184 surgery adult patients admitted at the post anesthetic care unit of Y university hospital. This study was used the measured tool developed by Choi et al.(2004) and by Lee (2004) who had already verified a validity based on Johnson and Bulechek's study(2001). Results: The nursing diagnosis of an acute pain, an urinary retention, a nausea, a decreased cardiac output, an ineffective airway clearance and an ineffective airway clearance were used in taking care for patients. The related factors according to the main nursing diagnosis were as the following: an injurious physical factor in an acute pain, reflex are inhibition in an urinary retention, post surgical anesthesia in a nausea, stroke volume change in a decreased cardiac output, secretory stasis in an ineffective airway clearance, pain in an ineffective breathing pattern. Conclusion: The study results could be facilitated in nursing process application for nurses at post anesthetic care unit. Also this study would provide basic data to develop a computerized program for the improvement of nursing process application.

• Journal of the Korean housing association
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• v.26 no.6
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• pp.207-216
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• 2015

The purpose of this study is to suggest useful resources concerning the plan to prepare for population aging in the future through investigating architectural characters of the 'Kyungrodang' and its operating systems located near the apartment complex and needs of the 'Kyungrodang'. For this purpose, the study includes field research, interviews, a questionnaire, and a survey targeting each of two apartments located in the Seoul and Gyeonggi-do. A survey targeting the elderly in their late 70 to 80 years 60 to 70 years was conducted and the differences regarding program needs of leisure activities for the elderly and revitalization of 'Kyungrodang' were analyzed. The results of the present study provide suggestions for improvement and solutions to the existing problems of standardized 'Kyungrodang'. Furthermore, the present results can be a basic resource for the elaboration of an appropriate management method and a spatial plan that would respond to the increased needs of facilities and programs for the elderly in the apartment complex. Finally, the results of the present study are expected to make a meaningful contribution to making 'Kyungrodang' the space where the elderly can obtain physical and mental support, as well as enjoy social activities, improve their health, and manage their everyday life.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.4
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• pp.558-570
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• 2013

Purpose: In these days, the concept of health literacy becomes important because it is essential to have a clear grasp of patients' basic ability to understand health-care information. Therefore, we intended to discover attributes, antecedents and consequences of health literacy through contextual analysis. Method: Following Rodgers' evolutionary concept analysis, we did a literary review. The databases KMBase, KoreaMed, Kstudy, NDSL, and RISS were searched for articles. Among published literature about health literacy, twenty articles which satisfied the inclusion criteria were chosen. Results: Health literacy consists of three attributes: information seeking, information understanding, and information utilizing. Furthermore antecedents are as follows: health status, health belief, socioeconomic status, and information quality. Finally, we were able to explain the consequences of health literacy by showing improvement of self-care and interaction, and a decrease of social costs. Conclusion: We expect this study to guide the direction of future studies, and as a concept analysis that examines the conceptual attributes in the context of health literacy. Based on the result of this study, the design of a standardized tool and the program of health literacy promotion education need to be developed.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.29 no.4
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• pp.182-188
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• 2016

Objectives : The purpose of this study is to report the effect of low level laser therapy and acupuncture on hair loss. Methods : The patient with alopecia caused by bed sore and alopecia areata was treated with 29 times of laser therapy, acupuncture and took herbal medicine during about 3 months. The treatment effect was evaluated by standardized photography. Results : Hair loss had shown a marked improvement. Entire scalp had been replaced with new hairs. Conclusions : LLLT(low level laser therapy) is effective method for treating alopecia. It can shorten the length of treatment of alopecia.