• Journal of muscle and joint health
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• v.20 no.1
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• pp.10-21
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• 2013

Purpose: This study was conducted to describe the meaning units of the teaching experience of Tai Chi instructor with nursing background, consequently to expand areas where nurses can work. Methods: Participants were four nurses who have worked as Tai Chi instructors for 5 to 8 years. An in-depth interview was conducted from June, 2010 to February, 2011. Each interview took 40 min to 4 hours. The data were analyzed with qualitative content analysis, by repeatedly listening to the tapes and reading the transcription to find the emerged meaningful words, phrases, and sentences. Results: Through the content analysis, 19 theme clusters were emerged and grouped together into seven categories: 'establishing my identity as an instructor', 'enjoying myself practicing Tai Chi', 'being confident about teaching Tai Chi with nursing background', 'exploring better ways to teach and motivate the class', 'feeling good about helping people to be healthy', 'accepting teaching Tai Chi as a lifetime job', 'contributing to health promotion with Tai Chi." Conclusion: Teaching and helping others to promote health were parts of nursing. Tai Chi can be used to promote health in the low-income population with limited access to health care system.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.23 no.2
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• pp.1-8
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• 2017

Background: The purpose of this study was to investigate the effects on static balance and disability in chronic low back pain with lumbar rotation extension subgroup of trascranial direct current stimulation (tDCS) and lumbar motor control exercise (MCE). Methods: In 40 male low back pain with lumbar rotation extension subgroup subjects were recruited for the study. Subjects were randomly allocated into two groups. Experimental groups received tDCS and MCE, Control groups received sham-tDCS and MEC. Before and after intervention, measured in surface area, whole path length and Roland-Morris low back pain questionnaire (RMQ). Results: Showed a significant static balance and disability from the experimental groups compared to the control group. Showed a no significant RMQ score from experimental groups compared to the control group. Conclusions: tDCS and lumbar MCE showed the increased static balance in chronic low back pain with lumbar rotation extension subgroup.

• Journal of Korea Multimedia Society
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• v.13 no.3
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• pp.417-429
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• 2010

Though background subtraction has been widely studied for last decades, it is still a poorly solved problem especially when it meets real environments. In this paper, we first address some common problems for background subtraction that occur in real environments and then those problems are resolved by improving an existing GMM-based background modeling method. First, to achieve low computations, fixed point operations are used. Because background model usually does not require high precision of variables, we can reduce the computation time while maintaining its accuracy by adopting fixed point operations rather than floating point operations. Secondly, to avoid erroneous backgrounds that are induced by high pedestrian traffic, static levels of pixels are examined using shot-time statistics of pixel history. By using a lower learning rate for non-static pixels, we can preserve valid backgrounds even for busy scenes where foregrounds dominate. Finally, to adapt rapid illumination changes, we estimated the intensity change between two consecutive frames as a linear transform and compensated learned background models according to the estimated transform. By applying the fixed point operation to existing GMM-based method, it was able to reduce the computation time to about 30% of the original processing time. Also, experiments on a real video with high pedestrian traffic showed that our proposed method improves the previous background modeling methods by 20% in detection rate and 5~10% in false alarm rate.

• The Journal of the Acoustical Society of Korea
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• v.41 no.1
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• pp.64-69
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• 2022

Background music is presented simultaneously with target messages. The main content should be kept intact for some time to aid decision making process. The maintenance of this information requires auditory working memory. The temporal compression of background music may often adopted due to the limitation of the presentation time. In this study, auditory working memory and decision making proces were analyzed in terms of temporal compression ratios of the background music. A total of 37 subjects of early twenties joined the study. Selected products were categorized based on eigen values of multi-dimensional scaling. Four presentation conditions were cases with no background music, background music with no compression, background music with low compression, and background music high compression. Matched reponses were analyzed through repeated ANOVA. Results showed that the high involvement product required more working memory resources. However, the increased level of usage did not always lead to the corresponding changes in decision making process. This approach may be useful in analyzing the role of time compression and working memory in consumer behaviors.

• Journal of Astronomy and Space Sciences
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• v.32 no.4
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• pp.289-295
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• 2015

By adopting a 2D time-dependent wave code, we investigate how mode-converted waves at the Ion-Ion Hybrid (IIH) resonance and compressional waves propagate in 2D density structures with a wide range of field-aligned wavenumbers to background magnetic fields. The simulation results show that the mode-converted waves have continuous bands across the field line consistent with previous numerical studies. These waves also have harmonic structures in frequency domain and are localized in the field-aligned heavy ion density well. Our results thus emphasize the importance of a field-aligned heavy ion density structure for ultra-low frequency wave propagation, and suggest that IIH waves can be localized in different locations along the field line.

• Proceedings of the IEEK Conference
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• 1998.10a
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• pp.1183-1186
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• 1998

Adaptive nois canceller can extract the noiseremoved spech in noisy speech signal by adapting the filter-coefficients to the background noise environment. A kind of LMS algorithm is one of the most popular adaptive algorithm for noise cancellation due to low complexity, good numerical property and the merit of easy implementation. However there is the matter of increasing misadjustment at voiced speech signal. Therefore the demanded speech signal may be extracted. In this paper, we propose a fast and noise robust wavelet packet adaptive noise canceller with NLMS-SUM method LMS combined algorithm. That is, we decompose the frequency of noisy speech signal at the base of the proposed analysis tree structure. NLMS algorithm in low frequency band can efficiently dliminate the effect of the low frequency noise and SUM method LMS algorithm at each high frequency band can remove the high frequency nosie. The proposed wavelet packet adaptive noise canceller is enhanced the more in SNR and according to Itakura-Satio(IS) distance, it is closer to the clean speech signal than any other previous adaptive noise canceller.

• Proceedings of the KOSOMBE Conference
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• v.1995 no.11
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• pp.109-112
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• 1995

This paper is a study on the detection of the significant point in ECG signal. ECG signal consists of two components; one is high frequency component to be detected and the other is low frequency component to be removed. AR model is appropriate for modelling and removing the low frequency component. AR model coefficients are updated by artificial neural network algorithm. We can remove the background noise(low frequency) by passing through the AR filter. The remaining signals which include high frequency noise are sent to the matched filter to pass only the signal which we want to extract. The template used in matched filter is updated adaptively.

• Microbiology and Biotechnology Letters
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• v.17 no.6
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• pp.645-654
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• 1989

The historical background of fish fermentation in Asia and other regions of the world is reviewed. The classification of fermented fish products in different regions is attempted with respect to the technology involved. The fermented fish products are largely divided into three groups; (1) high-salt, (2) low-salt, and (3) non-salt fermented. High-salt fermented products contain over 20％ of salt and are represented by fish sauce, cured fish and fish paste. Low-salt fermented products contain 6-18％ salt and are subdivided into lactic fermented products with added carbohydrate and acid pickling associated with low temperature. Non-salt fermented products are represented by the solid state bonito fermentation and some alkaline fermentation of flat fishes. The local names of the products in different regions are compared and classified accordingly. The microbial and biochemical changes during fish fermentation are considered in relation to the quality of the products, and their wholesomeness is reviewed.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.3
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• pp.131-143
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• 1998

This paper presents a high performance disparity extraction algorithm that generate a dense and accurate disparity map using low-resolution disparity histogram. Disparity distribution of background and object areas can besegmented from low-resolution disparity histogram. These information can be used to reduce the search area and search range of the high-resolution image resulting reliable disparity information in high speed. The computationally efficient matching pixel count(MPC) similarity measure technique is useed extensively toremove the redundancies inherent in the area-based matching method, and also results robust matching at the boundary region. Resulting maches are further improved using iterative support algorithm and post processing. We have obtained good results on randomdot stereogram and real images obtained in our carmera system.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.368-371
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• 2008

An extensometer system to measure strain and displacement of cylindrical fatigue specimen in a autoclave of high temperature and high pressure environment has been developed by KEPRI. The extensometer reads the displacement caused by fatigue loads at the target length of the specimen installed inside the autoclave. The performance of the extensometer were tested at 15MPa, $315^{\circ}C$ of a operating pressurized water reactor. Two LVDT's of magnet type were connected to the extensometer and used for converting the fatigue displacement to electronic signal. The device is being used for developing environmental fatigue curve of CF8M cast austenitic stainless steel (CASS) in the test condition of low cycle and low strain. This paper introduces the background and results of the development.