Transactions of the Korean Society of Machine Tool Engineers
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v.15
no.2
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pp.99-106
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2006
In this paper, the new method that estimates a sensing ability of smart sensor will be proposed. A study is estimation method that evaluates sensing ability about smart sensor respectively. According to acceleration(g) and displacement changing, we estimated sensing ability of smart sensor using SAI(Sensing Ability Index) method respectively. Smart sensors was made fer experiment. The types of smart sensor are two types(hard and soft smart sensor). Smart sensors developed for recognition of material. Experiment and analysis are executed for estimate the SAI method. In develop a smart sensor, the SAI method will be useful for finding optical design condition of smart sensor that can sense a material. And then dynamic characteristics of smart sensors(frequency changing, acceleration changing, critical point, etc.) are evaluated respectively through new method(SAI) that use the power spectrum density. Dynamic characteristic of sensor is evaluated with SAI method relatively. We can use the SAI for finding critical point of smart sensor, too.
Journal of Korean Society of Occupational and Environmental Hygiene
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v.9
no.2
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pp.79-89
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1999
A quantitative fit test, condensation nuclei counting (Portacount 8025, TSI), was performed concurrently with a banana oil (isoamyl acetate: IAA) qualitative fit test (MSA) to evaluate reliability on IAA QLFT and correlation between two methods. One brands of quarter mask (3M model 7500 medium) was prepared for QLFT with HEPA filter and gas & vapor removing media, i.e., combination cartridge. 110 subjects (65 male, 45 female) were fit tested QNFT and QLFT each three times. For a wearer combination having a FF<10, as determined by CNC QNFT, the point es timate (${\beta}$-error) of the probability of that combination not being rejected by the banana oil QLFT was found to be 0.0 with 95% confidence that this statistic is not expected to exceed 0.15. For a wearer combination having a FF<100, as determined by CNC QNFT, the point estimate of the probability of that combination not being rejected by the banana oil QLFT was found to be 0.07 with 95% confidence that this statistic is not expected to exceed 0.13. The uncertainty associated with each estimate, however, is large due to the small number of study subjects with inadequately fitting respirators.
Purpose: The purpose of this research is to understand the relationship between emotional labor and job stress for clinical nurses. Method: The information for this research has been gathered in method of questionnaire for 202 nurses working in a hospital from January 30 to February 10, 2006. Results; The emotional labor for clinical nurses showed 2.43 on a scale of 4 and the job stress showed 49.84 out of 100. The correlation between the emotional labor and job stress showed that the emotional labor was higher, job stress was also higher. The result was that the factors that influenced the emotional labor were health status in a subjective point of view, working department, and the personality. The factors that influence job stress were self-efficacy, working department, and health status in a subjective point of view. Conclusion: The result of the research showed that emotional labor and job stress for clinical nurses were high and the strategy for reduction in those two areas is needed. Especially, diversified plans for job demand and occupational climate in an area of job stress that is correlated to emotional labor will be needed to minimize the emotional labor and job stress.
International Journal of Aeronautical and Space Sciences
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v.3
no.1
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pp.9-18
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2002
Thermal humidity characteristics were considered theoretically and experimentally. A Simply well-fitted correlation of a saturated vapor pressure-temperature curve of water was introduced based on Antoine equation to make theoretical prediction of relative humidity according to temperature variation. Characteristics of dew point were also examined theoretically and its relation with temperature and humidity was evaluated. The exact mass of water vapor in a specified humidity and temperature condition was estimated to provide useful insight into the idea about how much amount of water corresponds to a specified humidity and temperature condition in a confined system. A simple but well-fitting model of dehumidification process was introduced to anticipate the trend of relative humidity level during GN2(gaseous nitrogen) purge process in a humidity chamber. Well-suitedness of this model was also verified by comparison with experimental data. The overall appearance and specification of two thermal humidity chambers were introduced which were used to perform various thermal humidity tests in order to yield useful data necessary to support validity of theoretical models.
This study purposed to standardize the Korean versions of the General Health Questionnaire, especially KGHQ-20 and KGHQ-30, through the evaluation of their reliability and validity. The two KGHQs, along with several other scales that measure psychological symptoms, were administered to 916 students and 102 chronically mentally ill patients at mental health hospitals in Korea. Both of the KGHQs were found to have high reliability based on test-retest correlation coefficients, internal consistency (Chronbach's ${\alpha}$) as scales, and item-total correlations for most of the items. The two KGHQ scores were shown to have high validity based on three methods of analysis; first, both KGHQ scores had highly significant correlations with most of other measures for psychopathology, such as SCL-90, CES-D, SDS, BAI, STAI; second, there were significant differences of the two KGHQ scores between the group of mentally healthy students and the group of chronically mentally ill patients; the validity of the KGHQ-30 was also derived from high sensitivity and specificity, which helped identify the best cut-off points: 15/16 for the KGHQ-30. The cut-off point for the KGHQ-20 was determined at 12/13 based on the mean scores and standard deviations of other scales as well as of the KGHQ-20.
Proceedings of the Acoustical Society of Korea Conference
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1994.06a
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pp.692-697
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1994
In the actual sound environmental systems, it seems to be essentially difficult to exactly evaluate a whole probability distribution form of its response fluctuation, owing to various types of natural, social and human factors. Up to now, we very often reported two kinds of unified probability density expressions in the standard expansion from of Hermite and Laguerre type orthonormal series to generally evaluate non-Gaussian, non-linear correlation and/or non-stationary properties of the fluctuation phenomenon. However, in the real sound environment, there still remain many actual problems on the necessity of improving the above two standard type probability expressions for practical use. In this paper, first, a central point is focused on how to find a new probabilistic theory of practically evaluating the variety and complexity of the actual random fluctuations, especially through introducing some equivalence transformation toward two standard probability density expressions mentioned above in the expansion from of Hermite and Laguerre type orthonormal series. Then, the effectiveness of the proposed theory has been confirmed experimentally too by applying it to the actual problems on the response probability evaluation of various sound insulation systems in an acoustic room.
Based on three types of 2-point statistics (galaxy clustering, galaxy-galaxy lensing, and cosmic shear power spectra) from the Deep Lens Survey (DLS), we constrain cosmology and baryonic feedback. The DLS is a deep survey, so-called a precursor to LSST, reaching down to ~27th magnitude in BVRz' over 20 deg2. To measure the three power spectra, we choose two lens galaxy populations centered at z ~0.27 and 0.54 and two source galaxy populations centered at z ~0.64 and 1.1, with more than 1 million galaxies. We perform a number of consistency tests to confirm the reliability of the measurements. We calibrated photo-z estimation of the lens galaxies and validated the result with galaxy cross-correlation measurement. The B-mode signals, indicative of potential systematics, are found to be consistent with zero. The two cosmological results independently obtained from the cosmic shear and the galaxy clustering + galaxy-galaxy lensing measurements agree well with each other. Also, we verify that cosmological results between bright and faint sources are consistent. While there exist some weak lensing surveys showing a tension with Planck, the DLS constraint on S8 agrees nicely with the Planck result. Using the HMcode approach derived from the OWLS simulation, we constrain the strength of baryonic feedback. The DLS results hint at the possibility that the actual AGN feedback may be stronger than the one implemented in the current state-of-the-art simulations.
In order to analyze the Land Surface Temperature (LST) in metropolitan area including Seoul, Landsat and MODIS land surface temperature, Automatic Weather Station (AWS) temperature, digital elevation model and landuse are used. Analysis method among the Landsat and MODIS LST and AWS temperature is basic statistics using by correlation coefficient, root-mean-square error and linear regression etc. Statistics of Landsat and MODIS LST are a correlation coefficient of 0.32 and Root Mean Squared Error (RMSE) of 4.61 K, respectively. And statistics of Landsat and MODIS LST and AWS temperature have the correlations of 0.83 and 0.96 and the RMSE of 3.28 K and 2.25 K, respectively. Landsat and MODIS LST have relatively high correlation with AWS temperature, and the slope of the linear regression function have 0.45 (Landsat) and 1.02 (MODIS), respectively. Especially, Landsat 5 has lower correlation about 0.5 or less in entire station, but Landsat 8 have a higher correlation of 0.5 or more despite of lower match point than other satellites. Landsat 7 have highly correlation of more than 0.8 in the center of Seoul. Correlation between satellite LSTs and AWS temperature with landuse (urban and rural) have 0.8 or higher. Landsat LST have correlation of 0.84 and RMSE of more than 3.1 K, while MODIS LST have correlation of more than 0.96 and RMSE of 2.6 K. Consequently, the difference between the LSTs by two satellites have due to the difference in the optical observation and detection the radiation generated by the difference in the area resolution.
Purpose - Although various studies have been conducted on the stress of service employees, there are still lack of studies regarding job stress and job satisfaction of call center workers. Especially there are quite few studies on the job stress according to employment type. This study focused on job stress and job satisfaction for call center employees and the correlation between the two factors and aimed to provide basic materials for seeking for the plans to reduce job stress and improve job satisfaction. Research design, data, and methodology - Frequency, percentage, and mean value were calculated through descriptive statistics in order to find out demographic characteristics, level of job stress, and job satisfaction. Differences in job stress according to employment type were calculated by using one-way ANOVA. Correlation between job stress and job satisfaction were identified through empirical analysis with Pearson's correlation coefficient. 150 materials were used for final analysis. The collected materials were analyzed to get statistics by using SPSS 20. Results - First, as for the job stress of call center workers, overall mean value was 2.54 in 4-point scales. Among the six sub-factors, job demands had the highest score, which was 2.67. Second, as for the job stress according to employment type, others showed higher score than mean value followed by contract job and full-time job in that order, in terms of job insecurity and organizational system. In terms of inappropriate remuneration, contract job showed higher score than mean value followed by others and full-time job. Third, as for the satisfaction with job, the mean value was 2.37 in 4-point scale and "very much satisfied" was only 3.3%. Lastly, in terms of job stress and job satisfaction, all sub-factors except for job demands showed significant correlation. The more job stress increased, the more job satisfaction decreased. Conclusions - First, as a result of analyzing job stress according to the employment type of call center workers, job stress increased more when the employment type was not full-time. Therefore, it was assumed that self-rescue efforts should be followed for effective employment management of call center business where contract employment takes most part as well as efforts to transfer them to full-time job. Second, decrease in job satisfaction of call center workers may affect the performance of an organization as well as service quality of the company providing the service. Therefore, various supports are required to decrease job stress and increase job satisfaction for call center workers through the expansion of rest area or break time. Third, I could recognize that there were lack of academic research on call center business in the whole service industry. Therefore, further research should be conducted more actively in the future. In particular, this study has special significance in the aspect that there were few studies on the job stress of call center workers according to employment type.
Purpose: Point-of-care tests (POCTs) have the potential to significantly influence management of neonates. The aim of this study was to assess the clinical usefulness of the POCT chemistry analyzer in a neonatal intensive care unit (NICU). Methods: Blood samples of neonates admitted to the NICU were tested using a POCT chemistry analyzer (Piccolo Xpress Chemistry Analyzer, Abaxis, Union City, CA, USA) and a central laboratory chemical analyzer (Chemistry analyzer 7600-110, Hitachi Ltd., Tokyo, Japan) from March to September, 2010. Correlation of 15 analytes between the POCT and the central laboratory machine was evaluated. For consistency of the POCT, three consecutive samplings were performed. Differences among the three tests were recorded. The causes of performance errors were checked through log files. Results: One hundred of 112 pairs of tests for accuracy performed in 54 neonates showed a high correlation between the two machines. Twelve performance errors occurred during the 112 tests. The most common error was insufficient sample error. Eighteen triplet tests performed in 18 patients for consistency revealed a difference range of 3-10%, which was considered to be acceptable. No error occurred during the 54 tests. Conclusion: The POCT is capable of analyzing multiple analytes with a minimal amount of whole blood in a short time. The few performance errors noted presently are likely preventable. This POCT is concluded to be suitable for use as a simple and rapid diagnostic method in the NICU with a minimal amount of blood collected in a less invasive manner.
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