• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.141-143
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• 2021

The Activity patterns of animal species are difficult to access and the behavior of freely moving individuals can not be assessed by direct observation. As it has become large challenge to understand the activity pattern of animals such as dogs, and cats etc. One approach for monitoring these behaviors is the continuous collection of data by human observers. Therefore, in this study we assess the activity patterns of dog using the wearable sensors data such as accelerometer and gyroscope. A wearable, sensor -based system is suitable for such ends, and it will be able to monitor the dogs in real-time. The basic purpose of this study was to develop a system that can detect the activities based on the accelerometer and gyroscope signals. Therefore, we purpose a method which is based on the data collected from 10 dogs, including different nine breeds of different sizes and ages, and both genders. We applied six different state-of-the-art classifiers such as Random forests (RF), Support vector machine (SVM), Gradient boosting machine (GBM), XGBoost, k-nearest neighbors (KNN), and Decision tree classifier, respectively. The Random Forest showed a good classification result. We achieved an accuracy 86.73% while the detecting the activity.

• Journal of Family Resource Management and Policy Review
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• v.8 no.1
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• pp.101-116
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• 2004

This study analyze using pattern of the Korean elderly leisure time to know their leisure lifestyle. In order to do this study, we analysed the time use dairy which were collected by Korean National Statistical Office in 1999 and analysis of data was done through mean of time, percentage of acting people hourly. The result of this study were as follows : 1) The elderly spend leisure time average 6 hours 34 minute in a day and enjoy leisure activities from A.M. 11:00 to P.M. 12:00 and from P.M. 8:00 to P.M:. 10:00 mainly. 2) The elderly spend leisure time for acquaintance, using mass media, sports leisure activity and dilettante life. Especially the elderly associate with more others than their family, use more TV than others and spend time for break and amusement as dilettante life.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.4
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• pp.779-787
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• 2010

In this paper, We introduce electrical tracking generated from surface activity associated with flow of leakage current on insulator under wet and contaminated conditions and design electrical tracking pattern recognition system by using LabVIEW. We measure the leaking current of contaminated wire by using LabVIEW software and the NI-c-DAQ 9172 and NI-9239 hardware. As pattern recognition algorithm and optimization algorithm for electrical tracking system, neural networks, Radial Basis Function Neural Networks(RBFNNs) and particle swarm optimization are exploited. The designed electrical tracking recognition system consists of two parts such as the hardware part of electrical tracking generator, the NI-c-DAQ 9172 and NI-9239 hardware and the software part of LabVIEW block diagram, LabVIEW front panel and pattern recognition-related application software. The electrical tracking system decides whether electrical tracking generate or not on electrical wire.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.4
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• pp.673-677
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• 2016

In this study, In order to measure foot pressure, it makes analyzing device using multi-pressure sensor. This device was limited frequency band to 5Hz by using low-pass filter and MCU was detected signal every milliseconds. After wearing the device, the result was confirmed by blue-tooth to measure wirelessly. Also, we propose an algorithm to obtain the walking pattern using a time table in each of the detected peak from the pressure sensor. Using the algorithm, right walking pattern and abnormal pattern was detected. The results can be reflected more individual walking patterns than when using a conventional methods and also, developed device was no restriction on the human activity.

• Journal of Korean Physical Therapy Science
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• v.9 no.1
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• pp.123-128
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• 2002

Objectives: The objective of this study was to investigate factor analysis of low back pain patients. Methods: The data were collected from hospital located in Daegu. Observation was made on 40 low back pain patients and factor analysis study was also performed in terms of their abnormal physical findings. Results: The low back pain patients occupied 20% of all clinical patients in male group and 20% in female group. The occurrence of acute low back pain in the first factor tended to be higher among in male group than among in female group. While it was significantly higher muscle weakness of the back in female group. The most prevailing abnormal finding among low back pain patients in the first factor were tender point on the back, While it was significantly lower Decreased tendon reflex in both sexes Conclusions: The factor pattern of abnormal physical findings in low back pain patients was much different between male and female patients, suggesting the different pattern of etiology. Although low back pain is one of the most common symptoms causing limitation activity, as yet there is no known specific effective treatment.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.51 no.8
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• pp.361-367
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• 2002

Many failures in high voltage equipment are preceded by partial discharge activity. In this paper deals with the application of the high frequency partial discharge measurement technique in motorette. HFPD measurement is very effective method to detect the PD occurred in motorette which is the called name of test specimen for accelerating test of stator winding[1] In this study, CT type HFPD sensor is used to detect the partial discharges and a measured HFPD pattern is analyzed by fractal mathematics. The neural network algorithm is used to pattern recognition and ageing diagnosis. As a result of this study, the fractal dimensions are increased along to applied voltage and HFPD pattern recognition using neural network shown excellent recognition rate. Also, the ageing diagnosis of motorette has been Possible.

• Journal of the Korean Home Economics Association
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• v.36 no.7
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• pp.97-110
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• 1998

The purpose of this study was to examine the use and purchase patterns, design and satisfaction degree, and desired performance of boardsailing suits. The subjects were 266 boardsailing athletes and lovers. The results were as follows; (1) The demand of boardsailing suits for spring and autumn was larger than that for the other seasons. (2) The order of influencing power in purchasing boardsailing suits was fitness, textile material, design, color, cost, and brand. (3) Preference of design was one piece style and preference of pattern was character pattern. Additionally, the study on Korean patterns was demanded for international games like Olympics. (4) The order of satisfaction degree of currently used boardsailing suits was activity, size, design, material, sewing, color, pattern, and ease of wearing and taking off. (5) For the performance of boardsailing suits materials, the estimated values of absorbency, water repellency, dye fastness, biological resistance, weight, handle, air permeability, durability, and elasticity were much lower than the importance values.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1031-1040
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• 2004

Electrocardiogram being the recording of the heart's electrical activity provides valuable clinical information about heart's status. Many re-searches have been pursued for heart disease diagnosis using ECG so far. However, electrocardio-graph uses foreign diagnosis algorithm due to inaccuracy of diagnosis results for a heart disease. This paper suggests ECG data collection, data preprocessing and heart disease pattern classification using data mining. This classification technique is the FB(Frequent pattern Bayesian) classifier and is a combination of two data mining problems, naive bayesian and frequent pattern mining. FB uses Product Approximation construction that uses the discovered frequent patterns. Therefore, this method overcomes weakness of naive bayesian which makes the assumption of class conditional independence.

• Journal of Sasang Constitutional Medicine
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• v.27 no.1
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• pp.82-109
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• 2015

Objectives This research was proposed to present Clinical Practice Guideline (CPG) for Prevention of Sasangin disease pattern of Sasang Constitutional Medicine (SCM) and diseases closely related with Sasang constitution. Each CPG was developed by the national-wide experts committee consisting of SCM professors. Methods At first, we searched the literatures related to SCM such as "Dongeuisusebowon", Textbook of SCM and Clinical Guidebook of SCM. Also we searched the articles related to the studies about risk factors for Sasangin disease pattern of both at home and abroad. Finally, we selected leading risk factors of Sasangin disease pattern and developed CPG for prevention of Sasangin disease pattern of SCM. And then, we searched the literatures related SCM such as "Dongeuisusebowon" and the articles on the correlation between disease and Sasang constitution using case-control studies, observational studies or cross sectional studies of both at home and abroad. Next, we selected diseases closely related with Sasang constitution on the basis of articles including prevalence rate and odds ratio between disease and Sasang constitution and finally developed CPG for these diseases. Results and Conclusions We categorized risk factors of Sasang disease pattern into 2 types: non-modifiable and potentially modifiable. 3 items (age, sex and genetic factors) were classified as non-modifiable risk factors of Sasang disease pattern. 6 items (original symptom, stress, diet and nutrition, physical activity, alcohol and drug misuse) were classified as less well-documented or potentially modifiable risk factors of Sasangin disease pattern. We found out Sasang constitution is more likely to develop some diseases. It was proven that Sasang constitution increase the risk of hypertension, diabetes mellitus, metabolic syndrome, stroke, nonalcoholic fatty liver and obstructive sleep apnea. And there is high probability of Sasang constitution being potential risk factor for obesity, hyperlipidemia, allergy and cancer. Also, we found out Taeeumin is independent risk factor for hypertension, diabetes mellitus, metabolic syndrome, stroke, nonalcoholic fatty liver and obstructive sleep apnea. Therefore we recommend that Taeeumin need to prevent these disease by regular checkups and aggressive management.

• Korean Journal of Environment and Ecology
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• v.37 no.6
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• pp.418-428
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• 2023

This study was conducted to clarify the daily activity patterns overlap between hikers and mammals from 2015 to 2019 in the Baekdudaegan protected area. To investigate relationship behaviors between hikers and mammals, we set the camera traps on the ridge of the Baekdudaegan protected area. Daily activity patterns of yellow-throated marten (Martes flavigula) and Siberian chipmunk (Eutamias sibiricus) were highly overlapped with hiker total study periods. Moreover, daily activity patterns of Siberian roe deer (Caperohus pygargus) and water deer (Hydropotes inermis) were highly overlapped with hikers only in spring. In winter, daily activity patterns of wild boar (Sus scrofa) were overlapped with hikers. However, leopard cat (Prionailurus bengalensis), raccoon dog (Nyctereutes procyonoides), and Eurasian badger (Meles leucurus) did not significantly overlap with hikers during the study periods. The daily activity patterns of 8 mammals differed by species-specific behavior and temporal characteristics. Overlap of daily activity patterns between mammals and hikers were differed in each season. Differences in daily activity pattern overlap between mammals and humans may lead to differences in human impact on mammal populations. Information on the interaction between hikers and mammals on species-specific and temporal-specific behavior could be basic ecological data for management and conservation of mammal populations and their habitats.