• Journal of Korean Academy of Nursing
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• v.40 no.4
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• pp.542-550
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• 2010

Purpose: This study was done to identify the factors which influence depression for elderly people who live at home. Methods: The participants were 134 elderly people living at home in M city. Data were collected from April 2 to 30, 2009 and analyzed using SPSS/WIN 12.0 and AMOS 5.0 program. I assumed path coefficients by doing path analysis to understand synthetically causal relationship which influences on depression. Results: Social support, sleep pattern and self esteem had significant direct effects on life satisfaction and accounted for 50% of the total variance in life satisfaction. Physical symptoms, sleep pattern and life satisfaction also had significant direct effects on depression and accounted for 59% of the variance in depression. But social support, self assertiveness and self esteem were not significant for depression. Conclusion: These results provide guidance for designing useful strategies to reduce depression in elderly people living at home.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.7B
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• pp.771-779
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• 2011

It is expected that many heterogeneous wireless systems, such as 3GPP LTE systems, WiMAX systems and WLAN systems, will coexist in the next generation wireless communication environments. Integrated radio resource management and seamless vertical handoff (VHO) should be supported to provide integrated communication services over multi-radio access networks. A new class of adaptive VHO system that views the handoff problem as a pattern recognition problem is proposed. In this paper, we propose a unified radio resource management (URRM) architecture and Support Vector Machine (SVM) based vertical handoff decision system. Extensive simulation studies show the proposed VHO algorithm outperforms RSS based VHO algorithms in terms of throughput and service cost.

• PNF and Movement
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• v.17 no.1
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• pp.47-56
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• 2019

Purpose: This study investigated the effects of neck pattern of proprioceptive neuromuscular facilitation (PNF) on balance and walking ability in patients with chronic stroke. Methods: Fourteen participants with chronic stroke were randomly assigned to vestibular rehabilitation and then divided into two groups: the neck pattern group or treadmill group. Each group underwent 20 sessions (20 minutes/day, five days/week, for four weeks). Patients were assessed with the Berg balance scale (BBS) and gait parameters (gait speed, cadence, step length, and double-limb support period) using a GAITRite system. Results: Vestibular rehabilitation for the neck pattern group and the treadmill group showed significant intragroup improvement on the BBS and in terms of gait speed, cadence, step length, and double-limb support period (p < 0.05). Vestibular rehabilitation was more effective for the neck pattern group than for the treadmill group in terms of the BBS (p = 0.00; 95% CI, 1.49-5.94), gait speed (p = 0.01; 95% CI, 0.05-0.16), cadence (p = 0.02; 95% CI, 0.54-4.99), and step length (p = 0.00, 95% CI, 1.55-4.62). Conclusion: This study used the neck pattern of PNF for vestibular rehabilitation in patients with chronic stroke. The results showed significant improvement in the patients' balance and walking ability. Therefore, the neck pattern of PNF for vestibular stimulation may be more effective than treadmill training to improve balance and walking ability in patients with chronic stroke.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1471-1477
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• 2019

Currently, there are various security methods in smart phone. Among them, pin number and pattern lock were used long as they were used from early smart phone. However, security is weak that much. The security of pin number is slightly high, but the security of conventional pattern lock remains moderate. However, the conventional pattern lock is still used by several people because of convenience. This is because some users' smart phones don't support biometric security. The most convenient security method for devices that don't support biometric security is pattern lock. However, this method is vulnerable to shoulder surfing attack and smudge attack. Therefore, we introduce random pattern lock that solves the vulnerability of the conventional pattern lock while maintaining the convenience of the pattern lock. This is a lock method that places each point placed on the screen in a circular shape and assigns a random number to it. Therefore, If this is introduced, It's expected to solve vulnerability.

• The Journal of Korean Obstetrics and Gynecology
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• v.31 no.4
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• pp.147-164
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• 2018

Objectives: This study was performed to analyze the pattern identification in infertile women who participated in infertility support program of Cheongju-city. Methods: The project proceeded from October, 2016 to June 2017. Participants filled in the questionnaire which is composed of 33 symptoms before korean medical treatments. Data were collected from 17 participants. We classified symptoms into six pattern identifications based on previous research and rated each answer to score. Results: Throughout the study, the average age of 26 patients was $34.88{\pm}3.19$ years old, the average height was $162.51{\pm}4.99cm$, and average weight was $58.41{\pm}7.88kg$. The average duration of acupuncture treatment was $121.03{\pm}52.73$ days and the average times of acupuncture treatment was $27.42{\pm}10.77$ times. The average number of herbal medicine treatment was $2.65{\pm}0.69$, the majority of it was Chokyungjongok-tang. After the treatment, 3 patients of infertility became pregnant (11.54%) in twenty six patients. By analyzing pattern identification survey papers, We can classify infertile women into 6 pattern identification based on previous research. The majority of participants was identified as Blood deficiency and the other participants were identified as Kidney deficiency, Liver depression, Dampness-phlegm, Qi deficiency and Static blood in order of priority. Most of patients' pattern identification were combined with two kind of pattern identification. In terms of priority, Liver depression combined with Kidney deficiency, Blood deficiency combined with Kidney deficiency, Liver depression combined with Qi deficiency, Liver depression combined with Dampness-phlegm. Conclusions: After the study we confirmed that Korean traditional medicine is a safe treatment for infertile women. Further clinical study about herbal medicines of patients who have combined pattern identification is needed.

• Physical Therapy Korea
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• v.10 no.1
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• pp.29-35
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• 2003

Body weight support treadmill training is a new and promising therapy in gait rehabilitation of patients with hemiplegia. The purpose of this study was to identify the effects of body weight support treadmill training on gait and standing balance in patients with hemiplegia. Eighteen patients with hemiplegia participated in the study. A 10 m-timed walk test, measurements of step length and standing balance score were administered. Intervention consisted of body weight support treadmill training five times a week for 2 weeks. The data were analyzed by paired t-test. Body weight support treadmill training scoring of standing balance, step length and 10 m-timed walk test showed a definite improvement. Body weight support treadmill training offers the advantages of task-oriented training with numerous repetitions of a supervised gait pattern. The outcomes suggest that patients with hemiplegia can improve their gait ability and standing balance through body weight support treadmill training.

• The KIPS Transactions:PartD
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• v.12D no.6 s.102
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• pp.807-816
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• 2005

Sequential pattern mining finds all of the frequent sequences satisfying a minimum support threshold in a large database. However, when mining long frequent sequences, or when using very low support thresholds, the performance of currently reported algorithms often degrades dramatically. In this paper, we propose a novel sequential pattern algorithm using only closed frequent sequences which are small subset of very large frequent sequences. Our algorithm generates the candidate sequences by depth-first search strategy in order to effectively prune. using bitmap representation of underlying databases, we can effectively calculate supports in terms of bit operations and prune sequences in much less time. Performance study shows that our algorithm outperforms the previous algorithms.

• Journal of Families and Better Life
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• v.18 no.2
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• pp.125-139
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• 2000

The main purpose of this study is to examine the relation between different patterns of commitment to work role and fathering and the level of life satisfaction. 272 fathers, whose oldest child is under 12 years old with professional, managerial and clerical jobs, were selected. The major findings of this study were as follow: 1) Married men with the oldest child under 12 years old were more likely to be committed to fathering than to work role. 2) The significant variables that affected the level of commitment to fathering were the age of the oldest child, the frequency of participation in the meeting after work, parental satisfaction, and how they perceive the spousal support. And the significant variables that affected the level of commitment to work role were type of job, parental distress, work satisfaction, work distress. 3) Patterns of commitment to fathering and work role were categorized into four groups. The names were given as positively balanced commitment pattern, positive fathering commitment pattern, negative fathering commitment pattern, and totally negative commitment pattern. 4) The significant variables important in classifying the patterns of commitment to work role and fathering appeared to be the age of the oldest child, work distress, the frequency of participation in the meeting after work, parental satisfaction, how they perceive the spousal support, work satisfaction and weekend total working hour. 5) The balanced positive commitment to work and fathering was associated with the highest level of life satisfaction.

• Journal of Engineering Education Research
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• v.18 no.6
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• pp.64-69
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• 2015

A video-work story analysis system based on emotional state measurement includes a content provision unit which provides story content of a video-work, a display unit which displays content provided by the content provision unit, an emotional state measurement unit which measures a tense-relaxed emotional state of a viewer viewing the displayed story content, a story pattern analysis unit which analyzes the tense-relaxed emotional state measured from the emotional state measurement unit according to a scene in the story content provided by the content provision unit, and a story pattern display unit which prints out an analysis result or displays the analysis result as an image. The emotional state measurement unit measures a tense or relaxed emotional state through one or more analyses among a brainwave analysis, a vital sign analysis, or an ocular state analysis. A writer may obtain support in an additional scenario modification work, and an investor may obtain support in making a decision through the above description. Furthermore, the video-work story analysis system and analysis method based on emotional state measurement may extract a particular pattern with respect to a change in an emotional state of a viewer, compile statistics, and analyze a correlation between a story and an emotional state.

• Journal of Korea Multimedia Society
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• v.20 no.9
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• pp.1509-1518
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• 2017

Although several methods have been used to assess the pain levels, few practical methods for classifying presence or absence of the pain using pattern classifiers have been suggested. The aim of this study is to design an pattern classifier that classifies the presence or absence of the pain using electrocardiogram (ECG). We measured the ECG signal from 10 subjects with the painless state and the pain state(Induced by mechanical stimulation). The 10 features of heart rate variability (HRV) were extracted from ECG - MeanRRI, SDNN, rMSSD, NN50, pNN50 in the time domain; VLF, LF, HF, Total Power, LF/HF in the frequency domain; and we used the features as input vector of the pattern classifier's artificial neural network (ANN) / support vector machine (SVM) for classifying the presence or absence of the pain. The study results showed that the classifiers using ANN / SVM could classify the presence or absence of the pain with accuracies of 81.58% / 81.84%. The proposed classifiers can be applied to the objective assessment of pain level.