• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.99-107
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• 2021

With the recent establishment of a ubiquitous-based medical and healthcare environment, the medical information system for obtaining situation information from various sensors is increasing. In the medical information system environment based on context-awareness, the patient situation can be determined as normal or emergency using situational information. In addition, medical staff can easily access patient information after simple user authentication using ID and Password through applications on smart devices. However, these services of authentication and patient information access are staff-oriented systems and do not fully consider the ubiquitous-based healthcare information system environment. In this paper, we present a authentication service model based context-awareness system for providing situational information-driven authentication services to users who access medical information, and implemented proposed system. The authentication service model based context-awareness system is a service that recognizes patient situations through sensors and the authentication and authorization of medical staff proceed differently according to patient situations. It was implemented using wearables, biometric data measurement modules, camera sensors, etc. to configure various situational information measurement environments. If the patient situation was emergency situation, the medical information server sent an emergency message to the smart device of the medical staff, and the medical staff that received the emergency message tried to authenticate using the application of the smart device to access the patient information. Once all authentication was completed, medical staff will be given access to high-level medical information and can even checked patient medical information that could not be seen under normal situation. The authentication service model based context-awareness system not only fully considered the ubiquitous medical information system environment, but also enhanced patient-centered systematic security and access transparency.

• Journal of the Korean Society of Food Science and Nutrition
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• v.42 no.12
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• pp.2076-2081
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• 2013

The objective of this study is to investigate the gastric emptying and gastrointestinal transit improvement effect of DL-methionine methylsulfonium chloride (MMSC) in functional dyspepsia animal models. Cisplatin causes nausea, vomiting, and inhibition of gastric emptying. Rats were divided into four groups: G1 (normal group), G2 (gastric emptying induced by cisplatin), G3 (gastric emptying induced by cisplatin with itopride 30 mg/kg pretreatment), and G4 (gastric emptying induced by cisplatin with MMSC 4 mg/kg pretreatment). Immediately after an oral administration of a liquid meal (phenol red), delayed gastric emptying was induced by cisplatin (10 mg/kg (i.p.)). After 20 min in the cisplatin administration, the animals were sacrificed. In rats treated with cisplatin, the gastric emptying rate was significantly reduced. On the other hand, MMSC reversed the reduction of gastric emptying induced by cisplatin. And also, MMSC caused to travel FITC-dextran more significantly longer distance than the control, which is based on the values of the mean geometric center in the atropine driven delayed gastrointestinal transit animal models. Furthermore, MMSC drastically increased the gastrointestinal transit in rats, considerably increased the values of the mean geometric center (MGC), compared to the control, which was comparable to that of mosapride. These results suggest that MMSC could be an effective component for the treatment of functional dyspepsia.

• The Journal of Engineering Geology
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• v.32 no.4
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• pp.697-723
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• 2022

Data-driven models to predict groundwater levels 30 days in advance were developed for 12 groundwater monitoring stations in the middle-Jeju watershed, Jeju Island. Stacked long short-term memory (stacked-LSTM), a deep learning technique suitable for time series forecasting, was used for model development. Daily time series data from 2001 to 2022 for precipitation, groundwater usage amount, and groundwater level were considered. Various models were proposed that used different combinations of the input data types and varying lengths of previous time series data for each input variable. A general procedure for deep-learning-based model development is suggested based on consideration of the comparative validation results of the tested models. A model using precipitation, groundwater usage amount, and previous groundwater level data as input variables outperformed any model neglecting one or more of these data categories. Using extended sequences of these past data improved the predictions, possibly owing to the long delay time between precipitation and groundwater recharge, which results from the deep groundwater level in Jeju Island. However, limiting the range of considered groundwater usage data that significantly affected the groundwater level fluctuation (rather than using all the groundwater usage data) improved the performance of the predictive model. The developed models can predict the future groundwater level based on the current amount of precipitation and groundwater use. Therefore, the models provide information on the soundness of the aquifer system, which will help to prepare management plans to maintain appropriate groundwater quantities.

• Journal of Korea Technology Innovation Society
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• v.19 no.1
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• pp.1-28
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• 2016

Current Korean innovation system is facing a new turning point while the growth-oriented and S&T provide-oriented development strategy. Accordingly, there are needs for not only system transition in various area, such as sustainable energy, agriculture, and rural area but also STI policy paradigm shift to create a new innovative pathway. Living lab is being discussed in European country as a new innovative model based on user participation and as a niche experiments for sustainable system transition. This study attempts to analyze the living lab cases which are for the purpose of energy transition, agriculture rural areas system transition, and STI policy paradigm shift. Based on this analysis, the implications were derived in Korea. European Suslab project, C@R project, and Taiwan living lab, promoted diverse transitional experiments successfully by collecting users' background and experiences from pre-planning stage and by maintaining the user-driven innovative actions within the whole development process. This result provides various suggestions to current Korean situation that central government and local governments are considering the introduction of living lab. Living lab can also be utilized as a strategic niche experiments for socio-technical system transition in region or country, as a mean of policy integration, and as a new regional innovation model. In addition, it can be an important platform to realize the policy integration reflecting the user and demand-side which are highlighted in recent innovative policy paradigm.

• Health Policy and Management
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• v.10 no.2
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• pp.41-77
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• 2000

This study aimed at the analysis, from the perspective of rationality, of policy making process in the separation of prescribing and dispensing. This study is to identify the characteristics and problems of the policy process to introduce the new durg-prescription system, and make policy recommendations. In terms of separation of prescribing and dispensing, the development of policy making process can be divided into two periods; periods before and after the inauguration of the govemment of people. In the period before the govermment of poeple, one of the major characteristics of policy decision on the new system was the poweful influence of interset groups. At that time, the ministry lacked the problem-solving ability and commitment on the policy. Consequently, during the former period, the policy making process had been driven by interest groups. Therefore, the original purpose of the policy to secure the pulic health was lost. During the latter period, there was also the strong influence of interst groups, complexity of interest, the ministry's inability of problem solving. However, in this period, it is notable that this has drawn nation-wide attention, severl civic grouos have participated in the policy making process, and that the number and voice of these groups have remarkably increased. With regards to rationality, incrementalish model is highly sutable to explain the policy making process in the former period. But in the latter period when the new drugperscripition system became a national issue and civic groups began to participte in this matter more actively, rational model is more explanatory that incrementalism to understand the process. During the latter period, the original goal of this policy was not distored by a few interest groups thanks to the rapid development of civil movement and therebly a big influence of civic groups on the policy making. For that reson, a jigh level of rationality is found in the policy-making process of the latter period. Some suggestions to achieve the rationality in the policy making process based on the results of this study are as follows; Frist, the public's participation should be enered in the policy making process. Second, the govermment should make contiuns efforts to enhance its ability of long-term planning and policy implementation, and increase rationality of policy making process. Third, balance among interset groups should take place in the process of policy making. Forth, sound, constructive, and logical activity of interest groups is necessary to express and promote their interests.

• Journal of the Korean Society of Marine Environment & Safety
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• v.22 no.6
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• pp.679-687
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• 2016

In developing countries, the establishment of maritime colleges and the training of excellent merchant marine officers can greatly impact on the growth of the marine industry in a given country. The project to establish the Kenya Maritime College ('KMC') has been driven by the Kenyan government, which has been challenged by the growth of the marine industry in Korea. This study aims to the development of curriculum for the navigation science department of the KMC. To do this, firstly the Kenyan environments was surveyed. Then, IMO maritime education requirements, IMO model courses and curriculums from the navigation science departments of major maritime universities around the world were reviewed. Lastly, based on these surveys and reviews, curriculum for the navigation science department of the KMC was developed. This curriculum is comprised of an educational course that requires a total of 5 years of study, including 1 year of on-board training and a total of 200 credit hours (20 credit hours per semester). Although this curriculum has been developed to fit the environments of Kenya, it is expected to offer a point of reference for similar studies in other countries with the goal of standardizing maritime education internationally.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.48 no.10
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• pp.773-782
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• 2020

The development of joint FE models for deep learning neural network (DLNN)-based hybrid FEA is presented. Material models of bolts and bearings in the front axle of tractor, showing complex behavior induced by various tightening conditions, were replaced with DLNN models. Bolts are modeled as one-dimensional Timoshenko beam elements with six degrees of freedom, and bearings as three-dimensional solid elements. Stress-strain data were extracted from all elements after finite element analysis subjected to various load conditions, and DLNN for bolts and bearing were trained with Tensorflow. The DLNN-based joint models were implemented in the ABAQUS user subroutines where stresses from the next increment are updated and the algorithmic tangent stiffness matrix is calculated. Generalization of the trained DLNN in the FE model was verified by subjecting it to a new loading condition. Finally, the DLNN-based FEA for the front axle of the tractor was conducted and the feasibility was verified by comparing with results of a static structural experiment of the actual tractor.

• Journal of the Korea Society for Simulation
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• v.26 no.2
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• pp.41-49
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• 2017

In the acquisition program, the conceptual design is the most important step toward specifying the military objectives, establishing requirements and determining future developmental directions, of a target system. However, if both the requirements and directions are incorrectly set due to the lack of development experiences and literature backgrounds in the target systems, such as future ground combat vehicles, it may become a major risk in the future design phases and the entire acquisition program. In order to correct these errors in the future phases, time, effort and cost are required. Therefore, it is necessary to reduce the errors that occur in the initial stages to effectively acquire the future ground combat vehicles. This paper describes the initial design method for verifying the requirements and the developmental directions and estimating the system performance at the conceptual design through the system-level physical modeling and simulation (M&S) and the target system performance analysis. The system-level physical M&S use cutting-edge design tools, model-based designs and geometric-based designs. The system performance estimation is driven from the results of the system-level physical M&S and the specialized system analysis software.

• Journal of Korean Society of Transportation
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• v.20 no.7
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• pp.107-116
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• 2002

Crash Cushion is a kind of safety facilities on roadside which acts the role of absorbing impact energy when vehicles are driven out of normal route such as Gore area of freeway off ramp. Criteria for severity index considering accident occurrence possibility are needed to have strong effect on installing the facilities. However, present criteria for establishing crash cushion design do not include such processes. Therefore, the paper presents two kinds of study to develop criteria for severity index. First of all, development of accident forecasting model on freeway off ramp is presented. The module is a relationship between accidents and road environment by negative binomial distribution (NB) which is called to reflect very well quality of accidents at Gore of crash cushion installed freeway Secondly, freeway exiting behavior model is developed because the human factor is the most important one. However, many literatures have shown between road environment and accidents which are more quantitative than human factor. The study supposed advanced process steps on actual freeway and analysed correlation between variables and accidents. The criteria for severity index is presented to determine whether to install or not by benefit cost analysis for each module. The standard for severity index will help to determine whether to install the crash cushion or not and to estimate severity for freeway and off ramp.

• Journal of Korea Water Resources Association
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• v.54 no.11
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• pp.969-983
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• 2021

Evapotranspiration, one of the hydrometeorological components, is considered an important variable for water resource planning and management and is primarily used as input data for hydrological models such as water balance models. The FAO56 PM method has been recommended as a standard approach to estimate the reference evapotranspiration with relatively high accuracy. However, the FAO56 PM method is often challenging to apply because it requires considerable hydrometeorological variables. In this perspective, the Hargreaves equation has been widely adopted to estimate the reference evapotranspiration. In this study, a set of parameters of the Hargreaves equation was calibrated with relatively long-term data within a Bayesian framework. Statistical index (CC, RMSE, IoA) is used to validate the model. RMSE for monthly results reduced from 7.94 ~ 24.91 mm/month to 7.94 ~ 24.91 mm/month for the validation period. The results confirmed that the accuracy was significantly improved compared to the existing Hargreaves equation. Further, the evaporative demand drought index (EDDI) based on the evaporative demand (E₀) was proposed. To confirm the effectiveness of the EDDI, this study evaluated the estimated EDDI for the recent drought events from 2014 to 2015 and 2018, along with precipitation and SPI. As a result of the evaluation of the Han-river watershed in 2018, the weekly EDDI increased to more than 2 and it was confirmed that EDDI more effectively detects the onset of drought caused by heatwaves. EDDI can be used as a drought index, particularly for heatwave-driven flash drought monitoring and along with SPI.