• The KIPS Transactions:PartD
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• v.13D no.1 s.104
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• pp.139-146
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• 2006

This paper describes the design and implementation details of a distributed transactional workflow monitoring system. There have been prevalent research and development trends in the workflow literature - workflow systems tend to be completely distributed architectures to support very large-scale workflow applications on object-oriented and internet-based infrastructures. That is, the active (object), distributed (architecture), system-oriented (transaction), and large-scale (application) workflow systems are the key targets in terms of the research and development aspects. While the passive, centralized, human-oriented, and small/medium scale workflow systems are the typical instances of the traditional workflow systems. Unlike in the traditional (the client-server architecture) workflow systems, the workflow monitoring features should not be easily supported in the recent (the fully distributed architecture) workflow systems. At the same time, they need a set of additional monitoring features, such as gathering and displaying statistical (or overload status) information of the workflow architectural components dispersed on the internet. We, in this paper, introduce the additional workflow monitoring features that are necessarily required for the recent workflow systems, and show how to embed those features into a web-based distributed workflow system.

• The Journal of Korean Physical Therapy
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• v.29 no.1
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• pp.1-6
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• 2017

Purpose: This study aimed to demonstrate reduction in stroke symptoms by analyzing the changes in respiratory function and activities of daily living (ADL) after respiratory muscle strengthening exercise in patients who had a stroke and thereby, propose an efficient exercise method. Methods: Twenty patients with hemiplegic stroke were divided into two groups, with 10 patients in each. The control group (CG) received the traditional exercise therapy, and the experimental group (EG) received the traditional exercise therapy combined with expiratory muscle strengthening training. The training continued for 6 weeks, 5 days a week. Forced vital capacity (FVC) and forced expiratory volume at 1 second (FEV1) were measured with a spirometer, $SpO_2$ was measured with a pulse oximeter, and ADL were assessed by using the modified Barthel index (MBI). A paired t test was applied to compare the differences before and after the intervention, and an independent t test was used to compare the differences between the groups. The level of statistical significance was set as ${\alpha}=0.05$. Results: The changes in the FVC and FEV1 values within the group showed significant differences only in the EG (p<0.01). The between-group difference was statistically significant only for FVC and FEV1 in the EG (p<0.01). The changes in $SpO_2$ and MBI within the group showed significant differences only in the EG and CG (p<0.01). Between-group differences were statistically significant only for $SpO_2$ and MBI in the EG (p<0.05). Conclusion: The interventions with active patient involvement and combined breathing exercises had a positive impact on all the functions investigated in this study.

• Journal of Conservation Science
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• v.33 no.6
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• pp.457-466
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• 2017

The aim of this study is to analyze the research trends on Hanji (Korean traditional paper) in the academic literatures based on the purpose, content, and findings of various studies, and to present a direction for future research. Research papers published in 12 academic journals over the past 51 years (1965-2016) were collected using 167 key-words for the search, and of them, 178 papers were selected for analysis. Statistical analysis of these papers based on year, research content, and discipline to understand and quantify the research trend. Revealed that the frequency of the published research paper was generally proportional by number of research projects in domestic government departments. They also indicated that while there were several studies on property valuation or functionality improvement of Hanji based on experiments, research was lacking in the areas of observation, analysis, case studies, and status survey of Hanji. The present study provides basic data for establishing the direction of research on Hanji.

• Journal of Applied Reliability
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• v.18 no.1
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• pp.20-32
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• 2018

Purpose: The purpose of this study is to set up an anomaly detection criteria for sensor data coming from a motorcycle. Methods: Five sensor values for accelerator pedal, engine rpm, transmission rpm, gear and speed are obtained every 0.02 second from a motorcycle. Exploratory data analysis is used to find any pattern in the data. Traditional process control methods such as X control chart and time series models are fitted to find any anomaly behavior in the data. Finally unsupervised learning algorithm such as k-means clustering is used to find any anomaly spot in the sensor data. Results: According to exploratory data analysis, the distribution of accelerator pedal sensor values is very much skewed to the left. The motorcycle seemed to have been driven in a city at speed less than 45 kilometers per hour. Traditional process control charts such as X control chart fail due to severe autocorrelation in each sensor data. However, ARIMA model found three abnormal points where they are beyond 2 sigma limits in the control chart. We applied a copula based Markov chain to perform statistical process control for correlated observations. Copula based Markov model found anomaly behavior in the similar places as ARIMA model. In an unsupervised learning algorithm, large sensor values get subdivided into two, three, and four disjoint regions. So extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior in the sensor values. Conclusion: Exploratory data analysis is useful to find any pattern in the sensor data. Process control chart using ARIMA and Joe's copula based Markov model also give warnings near similar places in the data. Unsupervised learning algorithm shows us that the extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior.

• The Korean Journal of Applied Statistics
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• v.29 no.3
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• pp.525-537
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• 2016

The paper considers a hybrid model to analyze and forecast time series data based on an empirical mode decomposition (EMD) that accommodates complex characteristics of time series such as nonstationarity and nonlinearity. We aggregate IMFs using the concept of cumulative energy to improve the interpretability of intrinsic mode functions (IMFs) from EMD. We forecast aggregated IMFs and residue with a hybrid model that combines the ARIMA model and an exponential smoothing method (ETS). The proposed method is applied to forecast KOSPI time series and is compared to traditional forecast models. Aggregated IMFs and residue provide a convenience to interpret the short, medium and long term dynamics of the KOSPI. It is also observed that the hybrid model with ARIMA and ETS is superior to traditional and other types of hybrid models.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1633-1649
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• 2017

In remote sensing image processing, the traditional fusion algorithm is based on the Intensity-Hue-Saturation (IHS) transformation. This method does not take into account the texture or spectrum information, spatial resolution and statistical information of the photos adequately, which leads to spectrum distortion of the image. Although traditional solutions in such application combine manifold methods, the fusion procedure is rather complicated and not suitable for practical operation. In this paper, an improved IHS transformation fusion algorithm based on the local variance weighting scheme is proposed for remote sensing images. In our proposal, firstly, the local variance of the SPOT (which comes from French "Systeme Probatoire d'Observation dela Tarre" and means "earth observing system") image is calculated by using different sliding windows. The optimal window size is then selected with the images being normalized with the optimal window local variance. Secondly, the power exponent is chosen as the mapping function, and the local variance is used to obtain the weight of the I component and match SPOT images. Then we obtain the I' component with the weight, the I component and the matched SPOT images. Finally, the final fusion image is obtained by the inverse Intensity-Hue-Saturation transformation of the I', H and S components. The proposed algorithm has been tested and compared with some other image fusion methods well known in the literature. Simulation result indicates that the proposed algorithm could obtain a superior fused image based on quantitative fusion evaluation indices.

• Journal of the Korean Home Economics Association
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• v.27 no.4
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• pp.123-137
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• 1989

The purpose of this study is to examine parental attitudes perceived by juvenile delinquents and to provide the basic material on the problem of juvenile delinquency. For this purpose, this study examines 1) the relation-ship between the juvenile delinquents' social demographic characteristics and the juvenile delinquents' view of parental attitudes 2) the correlation between the juvenile delinquents' social demographic characteristics and the content and the motive of delinquency, 3) the content and the motive of delinquency in accordance with the juvenile delinquents' view of parental attitudes. For the subject of this study, 318 juvenile delinquents who were in the custody of the institution in An-Yang were selected, and questionnaire sheets were used. Of 318 questionnaire sheets, 221 sheets were analyzed by statistical methods, and the data were analyzed by frequency, percentage, average, t-test, x-test, and F-test; 1. There is a significant difference in the juvenile delinquents' view of their fathers in accordance with their fathers' age. Namely, the younger the father is, the more the juvenile delinquent wants his father to be less negative. There is a significant difference in the juvenile delinquents' view of their mothers according to the existence of step-sibling. Juveniles with step-siblings deny their mothers' inconsistent attitude more than the juveniles without a step-sibling. 2. The social demographic characteristics influencing the content of juvenile delinquency are juvenile's age, the degree of education, the father's age, the style of possessing house and the region of a dwelling. The motive of delinquency show a significant difference according to the juvenile's age. 3. According to the results of studying the correlation between the view of parental attitudes and the content and the motive of delinquency, there is a significant difference in the father's protective attitude, and the content of delinquency as well as in the mother's positive denial, her rigid control, her inconsistent attitude and the content of delinquency. The subordinate domains are opposite to the traditional conception that the father is stern and the mother is peronssive. Today our society encourages the parents' equal and democratic attitude toward their children and the juvenile's view of parental attitudes is discordant with the reality. The juvenile delinquents' view of parental attitudes reflects the equalitariansim of the contemporary society but is influenced by the traditional view of the parents.

• The Journal of Korean Medicine
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• v.35 no.2
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• pp.60-68
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• 2014

Background: Pattern identification is a unique diagnostic method of traditional Oriental medicine that has recently been the target of questionnaire-based research. Sasang (four-types) constitutional medicine (SCM) is a practice in traditional Korean medicine that seeks to promote objectivity in diagnostics. This paper attempts to illuminate the relationship between constitutions and the pathogenic factors of pattern identification through questionnaires completed by menopausal women about their symptoms. Methods: From March to October 2012, we examined 291 women from the general population, with ages ranging from 40 to 60 years, applying the Kupperman index, the Menopause-Specific Quality of Life Questionnaire (MENQOL), pattern identification based on the Diagnosis System of Oriental Medicine (DSOM), and SCM. We then analyzed the relationship between constitutional type and pathogenic factors. Results: No significant differences were found in the scores of either the Kupperman index or MENQOL questionnaire in relation to constitutional type. However, in a statistical analysis correlating the DSOM pathogenic factor scores (PFS) with the scores of the Kupperman index and MENQOL vasomotor subscale, heat showed a significant positive correlation with SoYang type (SY) and TaeEum type (TE), but not SoEum type (SE), while insufficiency of yin and insufficiency of yang, as well as blood deficiency, showed a significant positive correlation with the TE and SE types. Conclusion: The pathogenic factors in the menopausal symptoms of middle-aged women, specifically the prominent menopausal symptom of facial flushing, differed significantly according to constitutional type.

• The Journal of Engineering Geology
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• v.21 no.1
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• pp.1-13
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• 2011

Joint roughness is one of the most important parameters in analysis of rock slope stability. Especially in probabilistic analysis, the random properties of joint roughness influence the probability of slope failure. Therefore, a large dataset on joint roughness is required for the probabilistic analysis but the traditional direct measurement of roughness in the field has some limitations. Terrestrial LiDAR has advantagess over traditional direct measurement in terms of cost and time. JRC (Joint Roughness Coefficient) was calculated from statistical parameters which are known from quantitative methods of converting the roughness of the material surface into JRC. The mean, standard deviation and distribution function of JRC were obtained, and we found that LiDAR is useful in obtaining large dataset for random variables.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.807-810
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• 2007

Recently, ultra-wideband (UWB) technology based on the transmission of short duration pulses has gained much interest for its application to wireless communications. UWB small scale channel modeling work, including statistical characterization and potential models, are discussed. The significance, in terms of performance, of the channel impulse response model chosen for the simulation of UWB communications systems is also evaluated. Three traditional models are found to be useful for modeling NLOS UWB channels, but not LOS channels. In this paper, a new model for LOS UWB channels is presented and shown to represent LOS channels much more accurately than the traditional models.