• Journal of the Ergonomics Society of Korea
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• v.33 no.6
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• pp.453-463
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• 2014

Objective:The purpose of this study is to identify motion patterns for cellular phone and propose a method to identify motion patterns using a motion capture system. Background: In a smart device, the introduction of tangible interaction that can provide new experience to user plays an important role for improving user's emotional satisfaction. Firstly, user's motion patterns have to be identified to provide an interaction type using user's gesture or motion. Method: In this study, a method to identify motion patterns using a motion capture system and user's motion patterns for using cellular phone was studied. Twenty-two subjects participated in this study. User's motion patterns were identified through motion analysis. Results: Typical motion patterns for shaking, shaking left and right, shaking up and down, and turning for using cellular phone were identified. Velocity and acceleration for each typical motion pattern were identified, too. Conclusion: A motion capture system could be effectively used to identify user's motion patterns for using cellular phone. Application: Typical motion patterns can be used to develop a tangible user interface for handheld device such as smart phone and a method to identify motion patterns using motion analysis can be applied in motion patterns identification of smart device.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.3
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• pp.265-273
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• 2005

Purpose: This study was to investigate the degree and pattern of learning organization and MBTI personality type in clinical nurses. Methods: The participants were 685 nurses working in the 8 general hospitals located in Seoul and Incheon. The data were collected by self-reporting questionnaires from April 1 to August 30, 2004. The data were analyzed using SAS program for descriptive statistics and Pearson's correlation coefficient. Results: The most frequent identified personality type was ISTJ and the least identified personal types was ENFJ. In 4 preference patterns, Extroversion, Sensing, Thinking and Judgement were identified a dominant index in each categories. The mean score of learning organization was 3.47 and the mental model was got the highest score. The EI index had a significant positive correlation with personal mastery. However the TF index had a negative correlation with personal mastery, systems thinking, and mental models, and also the JP index had a negative correlation with 5 learning organization sub categories. Conclusion: With these results, it was identified that the preference patterns on MBTI had the significant correlation with learning organization. So these results will be used to develop the more effective strategies to increase learning organization based on nurse's personality types.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.23 no.1
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• pp.80-89
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• 2016

Purpose: The purpose of this study was to identify the duties and tasks of home visiting geriatric nurses using Development A Curriculum (DACUM) method. Method: The sample consisted of 107 geriatric visiting nurses who worked at community service centers in the Seoul metropolitan area. Job analysis was conducted at a DACUM workshop after that a web-based survey was given to participants to verify the accuracy of the duties and tasks of geriatric visiting nurse. Descriptive statistical analysis was conducted using SPSS 23. Results: A total of 8 duties and 56 tasks were identified as part of the job description of geriatric visiting nurses'. A task verification process was conducted. Overall mean ratings of the task importance were high. 'Recording' was identified as the most frequent duty, and 'Community program planning and operating' was identified as the most difficult duty. Conclusion: Duties and tasks that make up the job of geriatric visiting nurses were identified using the DACUM method. The resulting data will serve as the basis for the design of a curriculum development model for nurses involved in geriatric home visiting education programs, and will also be used to identify training needs and establish a standardized job description for geriatric visiting nurses.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2299-2301
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• 2000

In this paper, the design of PID controller using Neural networks for the control of non-linear system is presented. First, non-linear system is identified using BPN(Backpropagation Network) algorithm. This identified model is connected to the PID controller and the parameters of PID controller are updated to the direction of reducing the difference between the identified model output and model reference output in arbitrary input signal. Therefore, identified model output tracks the model reference output in an acceptable error range and the parameters of controller are updated adaptively. The output of the system has a good performance in case of both noisy and noiseless model reference and we can control the system stable in off-line when the dynamics of the system is changed.

• Journal of Korean Clinical Nursing Research
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• v.14 no.1
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• pp.61-70
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• 2008

Purpose: Women with gynecologic cancer often experience various physical and psychological symptoms relating to the cancer and its treatment. The purpose of this study was to identify symptom clusters. Method: A survey was conducted on 184 women with diagnoses of cervical, ovarian or endometrial cancer. Fifty symptoms were assessed for prevalence, severity and interference, and symptom clusters were identified. Cluster analysis was done using SPSS version 12.0. Results: Fatigue was identified as the most prevalent symptom (81.52%), lack of vaginal lubrication (2.26) as the most severe symptom, and lack of vaginal lubrication as the most interfering one (2.15). Identified six clusters were: Anorexia-pain cluster (loss of appetite, taste change, weight loss, appearance change, alopecia, weakness, pain), Fatigue cluster (lack of concentration, lack of memory, fatigue, dry mouth), Urinary-bowel distress cluster (urinary difficulty, constipation), Abdominal discomfort cluster (lower abdominal pain, abdominal pain, bloating), Emotional distress (sadness, anxiety-worry, nervousness, restlessness), and Menopausal cluster (sweating, hot flush, fever). Conclusion: The result of this study provides fundamental data to health care professionals in developing interventions for effective symptom management for women with gynecologic cancer by understanding identified 6 symptom clusters.

• Journal of Life Science
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• v.9 no.3
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• pp.314-327
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• 1999

This study was investigated to isolate identify the total bacteria and fungi from the indoor air of work-place of the shoes, paint, stainless steel, and plastic industries. The number of bacterial colonies on the nutrient agar plates were calculated by the open petridish method for 30 minutes in indoor air of work-places at the autumn and winter. The isolated bacteria were identified by Gram stain and biochemical test using API Staph and API 20E kits. The isolated fungal colonies were identified by gross appearance of the giant colonies and microscopic examination of their spore and hyphal characteristics on the slide culture method. The minimum inhibitory concentration (MIC) of several antibiotics against isolated bacteria was determined by the microdilution method with Mueller-Hinton broth. The 70-400 colonies in autumn and 54-236 colonies in winter were isolated from the indoor air of work-places of several industry. The isolation rates of Gram positive cocci, Gram positive bacilli, Gram negative bacilli, and Gram negative cocci were 46.3%, 19.8%, 17.3%, and 16.1%, respectively. In Gram positive cocci, the most strains were identified as Aerococcus spp, Micrococcus spp, and Staphylococcus spp. In Gram positive and negative bacilli, and Gram negative cocci were identified as Bacillus spp, Pseudomonas spp, and Neisseria spp, respectively. The frequently isolated fungi were Aspergillus spp, Penicillium spp and Rhizopus spp, respectively. The frequently isolated Aerococcus spp, Micrococcus spp, and Staphylococus spp were highly resistance against ampicillin, erythromycin, methicillin, and tetracycline. These results arouse our attention to microbiologic pollution in the indoor air of work-places of industries.

• Journal of Microbiology and Biotechnology
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• v.16 no.4
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• pp.623-632
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• 2006

To find potential targets of novel antimicrobial agents, we identified essential genes of Staphylococcus aureus N315 by using comparative genomics and allele replacement mutagenesis. By comparing the genome of S. aureus N315 with those of Bacillus subtilis, Enterococcus faecalis, Escherichia coli, Pseudomonas aeruginosa, and Streptococcus pneumoniae, a total of 481 candidate target genes with similar amino acid sequences with at least three other species by >40% sequence identity were selected. of 481 disrupted candidate genes, 122 genes were identified as essential genes for growth of S. aureus N315. Of these, 51 essential genes were those not identified in any bacterial species, and 24 genes encode proteins of unknown function. Seventeen genes were determined as non-essential although they were identified as essential genes in other strain of S. aureus and other species. We found no significant difference among essential genes between Streptococcus pneumoniae and S. aureus with regard to cellular function.

• Journal of Microbiology and Biotechnology
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• v.16 no.10
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• pp.1499-1512
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• 2006

Based on the first 2D reference map of the fission yeast Schizosaccharomyces pombe protein reported previously, we expanded and updated the map using narrower pI ranges. In this paper, 240 protein spots were identified on our reference map. In the pI 4-7 range, 144 spots corresponding to 86 different proteins were identified. In the pI 6-9 range, 43 spots corresponding to 35 different proteins were identified. Fifty-three new spots corresponding to 39 different proteins were further identified in the pI 5-6 range.

• Journal of Microbiology and Biotechnology
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• v.23 no.1
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• pp.106-117
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• 2013

Microbial enhanced oil recovery (MEOR) is one of the most economical and efficient methods for extending the life of production wells in a declining reservoir. Microbial consortia from Wafra oil wells and Suwaihat production water, Al-Wusta region, Oman were screened. Microbial consortia in brine samples were identified using denaturing gradient gel electrophoresis and 16S rRNA gene sequences. The detected microbial consortia of Wafra oil wells were completely different from microbial consortia of Suwaihat formation water. A total of 33 genera and 58 species were identified in Wafra oil wells and Suwaihat production water. All of the identified microbial genera were first reported in Oman, with Caminicella sporogenes for the first time reported from oil fields. Most of the identified microorganisms were found to be anaerobic, thermophilic, and halophilic, and produced biogases, biosolvants, and biosurfactants as by-products, which may be good candidates for MEOR.

• Conservation Science in Museum
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• v.3
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• pp.51-63
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• 2001

Totally 588 specimens, which were excavated from well sites(I or II site) of near the new Kyungju National Museum building, were identified 32 species. Diospyros spp. and Fraxinus spp. were the most common and occupied 14.8%(I-site) or 20.9%(II-site), 14.1%(I-site) or 12.8%(II-site) of the total specimen number respectively. And then other common species were follows ; Pinus densiflora, Quercus spp., Castanea crenata, Prunus spp., Pourthiaea spp.. Because the I-site were adjacent to the II-site, the 13 out of 25(I-site) or 20(II-site) identified species were common. Most of identified species had fruits, beautiful crowns and good qualities of lumber.