• Korean Journal of Community Nutrition
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• v.23 no.3
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• pp.202-215
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• 2018

Objectives: We conducted a qualitative study to explore the feasibility of mobile applications for self-monitoring of diet. Methods: We conducted in-depth and focus group interviews with eight laymen who had used mobile dietary applications and eight experts. Interviews were audio-recorded and analyzed using an open coding method. Results: The qualitative data of our study revealed two key themes: (1) perceptions, opinions and attitudes towards mobile applications of self-monitoring of diet and (2) future directions to improve mobile applications. Conclusions: Our qualitative study suggested the potential use of mobile applications as a food-tracking and dietary monitoring tool and the need for improved mobile applications for self-monitoring of diet. The results of our study may provide insights into how to technically improve mobile applications for self-monitoring of diet, how to utilize dietary data generated through mobile applications, and how to improve individual's health though mobile applications.

• Journal of Information Processing Systems
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• v.11 no.4
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• pp.556-572
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• 2015

This paper presents the applications of spatial interpolation and assimilation methods for satellite and ground meteorological data, including temperature, relative humidity, and precipitation in regions of Vietnam. In this work, Universal Kriging is used for spatially interpolating ground data and its interpolated results are assimilated with corresponding satellite data to anticipate better gridded data. The input meteorological data was collected from 98 ground weather stations located all over Vietnam; whereas, the satellite data consists of the MODIS Atmospheric Profiles product (MOD07), the ASTER Global Digital Elevation Map (ASTER DEM), and the Tropical Rainfall Measuring Mission (TRMM) in six years. The outputs are gridded fields of temperature, relative humidity, and precipitation. The empirical results were evaluated by using the Root mean square error (RMSE) and the mean percent error (MPE), which illustrate that Universal Kriging interpolation obtains higher accuracy than other forms of Kriging; whereas, the assimilation for precipitation gradually reduces RMSE and significantly MPE. It also reveals that the accuracy of temperature and humidity when employing assimilation that is not significantly improved because of low MODIS retrieval due to cloud contamination.

• International Journal of High-Rise Buildings
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• v.4 no.1
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• pp.27-37
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• 2015

Structural health monitoring is becoming more and more important in the domain of civil engineering as a proper mean to increase and maintain the safety, especially in the land of earthquakes like Japan. In many civil structures, the deformations are the most relevant parameter to be monitored. In this context, a monitoring technology based on the use of long-gage fiber optic deformation sensor, SOFO is being applied to a 33-floors tall building in Tokyo. Sensors were installed on the $2^{nd}$ floor's steel columns of the building on May 2005 in the early stage of the construction. The installed SOFO sensors were dynamic compatible ones which enable both static and dynamic measurements. The monitoring is to be performed during the whole lifespan of the building. During the construction, static deformations of the columns had been measured on a regular basis using a reading unit for static measurement and dynamic deformation measurements were occasionally conducted using a reading unit for dynamic measurement. The building was completed on August 2006. After the completion, static and dynamic deformation measurements have been continuing. This paper describes a health monitoring technology, SOFO system which is applicable to high-rise buildings and monitoring results of a 33-floors tall building in Tokyo from May 2005 to October 2010.

• Journal of Families and Better Life
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• v.32 no.1
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• pp.1-12
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• 2014

The purpose of this study was to examine: (1) whether the level of parental monitoring changes during adolescence; (2) if it changes, what is the pattern of the change; and (3) whether the effects of adolescents' attachment to their parents on parental monitoring are dependent on time. Six waves of data from the Korea Youth Panel Study (KYPS) were used to address the research questions. The participants of the KYPS were 3,449 (1,725 boys and 1,724 girls) adolescents who participated in the study once a year for 6 years (from the 2nd grade in middle school until their high school graduation). Latent growth modeling (LGM) was used to analyze the data. The findings are as follows: the level of parental monitoring significantly increased over the six waves of the study, and the adolescents' attachment to their parents was a time-dependent predictor of parental monitoring. The results indicate that the quality of adolescents' attachment to their parents is an important factor that makes a difference in the level of parental monitoring by, possibly, affecting the level of adolescents' disclosure to their parents.

• Journal of Korean Academy of Nursing Administration
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• v.22 no.1
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• pp.91-98
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• 2016

Purpose: The aim of this study was to identify the relationship between nurses' knowledge of adverse drug reactions (ADR), attitudes, and monitoring practices and to establish an effective ADR reporting system and provide baseline data for its activation. Methods: The participants in this study were chosen by convenience sampling and included 182 nurses working at major general hospitals that operate a Regional Drug Safety Center. Data were collected from June 1 to 12, 2015 and analyzed using Cronbach's ${\alpha}$, descriptive statistics, independent t-test, one way ANOVA, Pearson correlation coefficient and stepwise regression with the SPSS program. Results: The nurses' average score for knowledge was 7.62 points, for attitude, 41.04 points and for monitoring practices, 34.22 points. ADR monitoring practices positively correlated with knowledge (r=.19, p=.011), attitude (r=.41, p<.001), drug performance competency (r=.54, p<.001), and drug education satisfaction (r=.54, p<.001). Drug performance competency, drug education satisfaction, and attitudes explained 42.0% of the ADR monitoring practices (Adj $R^2=.42$, F=43.95, p<.001). Conclusion: In order to facilitate and encourage nurses' voluntary monitoring practice of ADR, efforts must be made to create positive attitudes toward ADR, and to increase drug performance competency and drug education satisfaction.

• Proceedings of the Korean Geotechical Society Conference
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• 2007.09a
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• pp.558-569
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• 2007

It is important to obtain real-time data from long-term monitoring of landfills and develop leachate leakage detection system for the integrated management of landfills. A novel real time monitoring system and early leakage detection system was suggested in this study. The suggested monitoring system is composed of two parts; (1) a set of moisture sensors which monitor the areas surrounding the landfill, and (2) a set of moisture and temperature sensors which monitor the landfill inside. For the assessment for landfills stabilization, real-time monitoring system was evaluated in dry and wet cell of pilot-site. In addition, the grid-net electrical conductivity measurement system was also suggested as early leakage detection system. In this study, the field applicability of suggested systems was evaluated through pilot-scale field tests. The results of pilot-scale field model tests indicate that the grid-net electrical conductivity measurement method can be applicable to the detection of landfill leachate at the initial stage of intrusion, and thus has a potential for monitoring leachate leakage at waste landfills.

• Proceedings of the IEEK Conference
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• 2009.05a
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• pp.249-251
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• 2009

Mobile patrol robots are mainly used in aerospace and military engineering because they can work at dangerous environment replacing a man. This paper presents a study on the remote monitoring and control system of a mobile patrol robot platform using TCP/IP. The mobile robot consists of intel PXA270 and linux-based system. It can get environment information such as images, temperature, humidity and slope by using two cameras and various sensors. And it transmits information data to a monitoring system through the ad-hoc network which is one of wireless network solutions. At this time, a mobile robot is a server and a monitoring system is a client. Users can monitor environment information which is received from a mobile robot by an application based on PC. We have used TCP/IP protocol, socket programming, interface technique of process and devices and control algorithm to embody the mobile robot and its monitoring system. Experimental results shows that the system can be utilized as a remote patrol monitoring tool.

• Smart Structures and Systems
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• v.22 no.2
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• pp.231-237
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• 2018

A significant data problem is encountered with condition monitoring because the sensors need to measure vibration data at a continuous and sometimes high sampling rate. In this study, compressive sensing approaches for condition monitoring are proposed to demonstrate their efficiency in handling a large amount of data and to improve the damage detection capability of the current condition monitoring process. Compressive sensing is a novel sensing/sampling paradigm that takes much fewer data than traditional data sampling methods. This sensing paradigm is applied to condition monitoring with an improved machine learning algorithm in this study. For the experiments, a built-in rotating system was used, and all data were compressively sampled to obtain compressed data. The optimal signal features were then selected without the signal reconstruction process. For damage classification, we used the Variance Considered Machine, utilizing only the compressed data. The experimental results show that the proposed compressive sensing method could effectively improve the data processing speed and the accuracy of condition monitoring of rotating systems.

• Smart Structures and Systems
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• v.21 no.5
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• pp.601-609
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• 2018

The estimated probabilistic model of wind data based on the conventional approach may have high discrepancy compared with the true distribution because of the uncertainty caused by the instrument error and limited monitoring data. A sequential quadratic programming (SQP) algorithm-based finite mixture modeling method has been developed in the companion paper and is conducted to formulate the joint probability density function (PDF) of wind speed and direction using the wind monitoring data of the investigated bridge. The established bivariate model of wind speed and direction only represents the features of available wind monitoring data. To characterize the stochastic properties of the wind parameters with the subsequent wind monitoring data, in this study, Bayesian inference approach considering the uncertainty is proposed to update the wind parameters in the bivariate probabilistic model. The slice sampling algorithm of Markov chain Monte Carlo (MCMC) method is applied to establish the multi-dimensional and complex posterior distribution which is analytically intractable. The numerical simulation examples for univariate and bivariate models are carried out to verify the effectiveness of the proposed method. In addition, the proposed Bayesian inference approach is used to update and optimize the parameters in the bivariate model using the wind monitoring data from the investigated bridge. The results indicate that the proposed Bayesian inference approach is feasible and can be employed to predict the bivariate distribution of wind speed and direction with limited monitoring data.

• Journal of Korea Multimedia Society
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• v.4 no.6
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• pp.570-578
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• 2001

Boundary scan architecture test methodology was introduced to facilitate the testing of complex printed circuit board. The boundary scan architecture has a tremendous potential for real time monitoring of the operational status of a system without interference of normal system operation. In this paper, a new type of embedded controller for real time monitoring of the operational status of a system is proposed and designed by using boundary scan architecture. The proposed real time monitoring embedded controller consists of test access port controller and an embedded controller proposed real time monitoring embedded controller using boundary scan architecture can save the hard-wire resource and can easily interface with boundary scan architecture chip. Experimental results show that the real time monitoring using proposed embedded controller is more effective then the real time monitoring using host computer.