• Korean Journal of Applied Biomechanics
• /
• v.19 no.1
• /
• pp.59-66
• /
• 2009

The purpose of this study was to evaluate flatness of swing plane and determine swing plane type using 3-D swing plane analysis from young elite male golf players. This study also investigate the possibility of determination of swing plane using other kinematic parameters except flatness. As results, no correlations was found between flatness and handicap. Comparison of flatness between single plane and multiple plane swing group were performed and found a significant difference. The error range of flatness, 10cm, which was used for distinguish swing plane type was effective since significant differences were found at MB, EB, and EF. These differences were typical characteristics to classify two swing styles. Other kinematic parameters such as unit vector components of shaft and displacement of shaft end point also compared per event but found no significant differences. However, the moving patterns of these parameters during a golf swing showed such characteristics of each swing plane type well that these parameters could be used to determine swing style as an indirect barometers.

• Journal of Internet Computing and Services
• /
• v.21 no.5
• /
• pp.109-118
• /
• 2020

Recently, people are spending a lot of time inside their homes because of various diseases. It is difficult to ask others for help in the case of a single-person household that is injured in the house or infected with a disease and needs help from others. In this study, an algorithm is proposed to detect emergency event, which are situations in which single-person households need help from others, such as injuries or disease infections, in their homes. It proposes vision pattern detection algorithms using home CCTVs, audio pattern detection algorithms using artificial intelligence speakers, activity pattern detection algorithms using acceleration sensors in smartphones, and dust pattern detection algorithms using air purifiers. However, if it is difficult to use due to security issues of home CCTVs, it proposes a fusion method combining audio, activity and dust pattern sensors. Each algorithm collected data through YouTube and experiments to measure accuracy.

• Journal of Biomedical Engineering Research
• /
• v.29 no.1
• /
• pp.73-81
• /
• 2008

The purpose of this study is to observe the brain activity patterns during visual oddball tasks with two difficulty levels by the analysis of high-density event-related potential (ERP). Along with conventional statistical analysis of averaged ERP waveforms, we applied independent component analysis (ICA) for the individual, single-trial analysis and verified its effectiveness. We could identify multiple ERP components such as early visual components (P1, N1), and two components which seem to be important task-related components and showed difficulty-dependent variability (P2, P300). The P2 was found around central region at $180{\sim}220ms$, and the P300 was found globally at $300{\sim}500ms$ poststimulus. As the task became difficult, the P2 amplitude increased, and the P300 amplitude decreased. After single-trial ERPs were decomposed into multiple independent components (ICs), several ICs resulting from P2 and P300 sources were identified. These ICs were projected onto scalp electrodes and the projected ICs were statistically compared according to two task difficulties. For most subjects, the results obtained from single-trial/individual analysis using ICA gave the tendencies of amplitude change that are similar to the averaged ERP analysis for most subjects. The temporal pattern and number of ICs corresponding to ${\mu}$ rhythm was not dependent on the task difficulty. It seems that the motor response was not affected by the task difficulty.

• Journal of Korea Water Resources Association
• /
• v.35 no.6
• /
• pp.763-777
• /
• 2002

The objective of this study is to develop computer simulation model that produces precipitation patterns from stochastic model. The hourly precipitation process consists of the precipitation occurrence and precipitation amounts. In this study, an event cluster model developed by Lee and Lee(2002) is used to describe the occurrence process of events, and the hourly precipitation amounts within each event is described by a nonstationary form of a first-order autoregressive process. The complete stochastic model for hourly precipitation is fitted to historical precipitation data by estimating the model parameters. An analysis of historical and simulated hourly precipitation data for Seoul indicates that the stochastic model preserves many of the features of historical precipitation. The autocorrelation coefficients of the historical and simulated data are nearly identical except for lags more than about 3 hours. The precipitation intensity, duration, marginal distributions, and conditional distributions for event characteristics for the historical and simulated data showed in general good agreement with each other.

• The Journal of the Korea Contents Association
• /
• v.9 no.1
• /
• pp.254-269
• /
• 2009

Corporate business in today's domestic industry focuses on using of culture & arts as internal and external marketing strategies with increases number of business cases of implementing corporate cultural marketing. Despite certain demands for the systematic research of corporate cultural marketing, studies have not been sufficiently developed to meet industrial and academic demands. In some paper, studies on effectiveness of corporate cultural marketing have been examined. But the papers were only limited to a conceptual categorization of corporate cultural marketing. Therefore we intended to study patterns of corporate cultural marketing using actual corporate data and explore inter-relationship across the patterns and characteristics. As a result, Korean firms were categorized into four patterns as below: 1)Duty type, 2)Strategic Partner type, 3)Publicity type and 4)Event type. Also, We found that performance of Strategic Partner type was highest.

• Journal of Internet Computing and Services
• /
• v.11 no.2
• /
• pp.129-142
• /
• 2010

The ubiquitous healthcare environment is one of the systems that benefit from wireless sensor network. But one of the challenges with wireless sensor network is its high loss rates when transmitting data. Data from the biosensors may not reach the base stations which can result in missing values. This paper proposes the Health Monitor Agent (HMA) to gather data from the base stations, predict missing values, classify symptom patterns into medical conditions, and take appropriate action in case of emergency. This agent is applied in the Ubiquitous Healthcare Environment and uses data from the biosensors and from the patient’s medical history as symptom patterns to recognize medical conditions. In the event of missing data, the HMA uses a predictive algorithm to fill missing values in the symptom patterns before classification. Simulation results show that the predictive algorithm using the HMA makes classification of the symptom patterns more accurate than other methods.

• Journal of Animal Science and Technology
• /
• v.58 no.4
• /
• pp.17.1-17.7
• /
• 2016

Background: The Sapsaree (Canis familiaris) is a Korean native dog that is very friendly, protective, and loyal to its owner, and is registered as a natural monument in Korea (number: 368). To investigate large-scale gene expression profiles and identify the genes related to exercise-induced stress in the Sapsaree, we performed whole-transcriptome RNA sequencing and analyzed gene expression patterns before and after exercise performance. Results: We identified 525 differentially expressed genes in ten dogs before and after exercise. Gene Ontology classification and KEGG pathway analysis revealed that the genes were mainly involved in metabolic processes, such as programmed cell death, protein metabolic process, phosphatidylinositol signaling system, and cation binding in cytoplasm. The ten Sapsarees could be divided into two groups based on the gene expression patterns before and after exercise. The two groups were significantly different in terms of their basic body type ($p{\leq}0.05$). Seven representative genes with significantly different expression patterns before and after exercise between the two groups were chosen and characterized. Conclusions: Body type had a significant effect on the patterns of differential gene expression induced by exercise. Whole-transcriptome sequencing is a useful method for investigating the biological characteristics of the Sapsaree and the large-scale genomic differences of canines in general.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.9 no.2
• /
• pp.77-85
• /
• 2009

In South Korea, seasonal, local and temporal climatic characteristics are variable in rainfall patterns. To design or assess the reliability of hydrosystem, information about the rainfall event under consideration is important. In this process, the complete description of a design storm involves the specification of rainfall duration, depth, and its temporal pattern. Generally, to use an appropriate temporal pattern for a design storm is of great importance in the design and evaluation of hydrological safety for hydrosystem. For purpose of selecting of factors affecting the occurrence of rainfall patterns, Huff's dimensionless method was executed and examined by statistical contingency tables analysis through which the inter-dependence of the occurrence frequency of rainfall patterns with respect to geographical location, rainfall duration and depth, and seasonality is investigated. This analysis result can be used to establish flood policies and to design or assess the reliability of hydrosystem.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.40 no.1
• /
• pp.25-33
• /
• 2020

A drought event is characterized by duration, severity and affected area. In general, after calculating a drought index using hydro-meteorological time series at a station, a drought event is defined based on the run theory to identify the beginning and end time. However, this one-dimensional analysis has limitations for analyzing the spatio-temporal occurrence characteristics and movement paths of drought. Therefore, this study is to define a three-dimensional drought event using a simple clustering algorithm and to develop a drought map that can be used to understand the drought severity according to the spatio-temporal expansion of drought. As a result, compared with the two-dimensional monitoring information to show spatial distribution of drought index, a proposed drought map is able to show three-dimensional drought characteristics inclusing drought duration, spatial cumulative severity, and centroid of drought. The analysis of drought map indicated that there was a drought event which had the affected area less than 10 % while on occations while there were 11 drought events (44 %) which had the affected area more a than 90 % of the total area. This means that it is important to understand the relationship between spatial variation of drought affected area and severity corresponding to various drought durations. The development of drought map based on three-dimensional drought analysis is useful to analyze the spatio-temporal occurrence characteristics and propagation patterns of regional drought which can be utilized in developing mitigation measures for future extreme droughts.

• Korean Journal of Clinical Pharmacy
• /
• v.28 no.3
• /
• pp.230-237
• /
• 2018

Objective: To compare adverse event reporting patterns between ethical-the-counter and over-the-counter drugs from community pharmacies and outpatient settings. Methods: We conducted a descriptive study using the adverse event reporting database, wherein data were collected from the regional pharmacovigilance centers of the Korean Pharmaceutical Association between January 1, 2016 and December 31, 2016. The reported drugs were classified into either ethical-the-counter or over-the-counter drugs, and we compared the distribution of patient age and gender, frequent adverse events and medications, serious adverse events, and causality assessment results, where causality assessments were performed according to the World Health Organization-The Uppsala Monitoring Centre's system. Results: We included 17,570 reports (75,451 drug-adverse event pairs). Ethical-the-counter and over-the-counter drugs accounted for 81.4% and 18.6% of the total adverse event reports, respectively. The use of over-the-counter drugs was higher in females and patients aged <18 years, whereas the use of ethical-the-counter drugs was higher in those aged >65 years. Alimentary tract and metabolism drugs, and respiratory system drugs were the most frequent ethical-the-counter and over-the-counter drugs, respectively. From causality assessment results, "possible" (75.4%) was the most commonly assigned category for ethical-the-counter drugs, while "possible" (44.0%) and "unlikely" (47.7%) were the most common categories for over-the-counter drugs. The distribution of serious adverse events were similar for both ethical-the-counter and over-the-counter drugs. Conclusion: Differences were observed in age, gender, reported medications, and symptoms for both ethical-the-counter and over-the-counter drugs. Further pharmacovigilance activities considering the adverse event characteristics of over-the-counter drugs, which are comparable to ethical-the-counter drugs, should be performed.