• 기본간호학회지
• /
• 제9권3호
• /
• pp.349-359
• /
• 2002

Purpose: The purpose of this study was two-fold : to describe the level of recognition of nosocomial respiratory infections by ICU nurses and to compare self evaluation and objective evaluation of nosocomial respiratory infection control practices by ICU nurses. Method: Data were collected from 78 nurses in intensive care units in one university affiliated hospital in Kyung Ki Province. Data were collected from March 4 to March 18, 2002. The recognition and self evaluation data were collected through a self report questionnaire and an objective evaluation which was done by observing the actual behavior of the nurses. Result: The results of this study showed that there was a significant positive relationship between recognition scores and self evaluation scores. However, there was no significant relationship between level of recognition and objective evaluation, nor between self evaluation and objective evaluation of infection control Practices by ICU nurses. Conclusion: ICU nurses In this study gave higher scores on self evaluation of their practice than were shown in the observation evaluation of actual practice. Moreover, in the objective evaluation the nurses had the lowest score on the item, 'washing hands before taking care of patients'. The results indicate that it is necessary to develop a standardized practice manual on nosocomial respiratory infection control in the ICU. Also, it is necessary to have a program to transfer knowledge into actual practice.

• 대한인간공학회지
• /
• 제30권1호
• /
• pp.195-202
• /
• 2011

Objective: The aim of this study is to investigate and review the previous researches about objective measuring fatigue caused by visual stimuli. Also, we analyze possibility of alternative visual fatigue measurement methods using facial expression recognition and gesture recognition. Background: In most previous researches, visual fatigue is commonly measured by survey or interview based subjective method. However, the subjective evaluation methods can be affected by individual feeling's variation or other kinds of stimuli. To solve these problems, signal and image processing based visual fatigue measurement methods have been widely researched. Method: To analyze the signal and image processing based methods, we categorized previous works into three groups such as bio-signal, brainwave, and eye image based methods. Also, the possibility of adopting facial expression or gesture recognition to measure visual fatigue is analyzed. Results: Bio-signal and brainwave based methods have problems because they can be degraded by not only visual stimuli but also the other kinds of external stimuli caused by other sense organs. In eye image based methods, using only single feature such as blink frequency or pupil size also has problem because the single feature can be easily degraded by other kinds of emotions. Conclusion: Multi-modal measurement method is required by fusing several features which are extracted from the bio-signal and image. Also, alternative method using facial expression or gesture recognition can be considered. Application: The objective visual fatigue measurement method can be applied into the fields of quantitative and comparative measurement of visual fatigue of next generation display devices in terms of human factor.

• 한국보육지원학회지
• /
• 제19권6호
• /
• pp.1-19
• /
• 2023

Objective: The aim of the present study was to develop and validate a recognition scale for childcare teachers' rights. Methods: Statistical methods for data analysis involved the use of SPSS 20.0 and AMOS 20.0. To confirm the reliability and validity of the developed scale, various analyses, including item quality assessment, item discrimination, exploratory factor analysis, confirmatory factor analysis, and Pearson correlation analysis, were conducted. The maximum likelihood estimation method was employed for model fitting. Goodness of fit was assessed using SRMR, RMSEA and its 90% confidence interval, CFI, and TLI. Through these analyses, the scale's reliability and validity exceeded the standard. Consequently, 5 factors and 30 questions were ultimately selected as the recognition scale for childcare teachers' rights. Results: First, a recognition scale for childcare teachers' rights was developed to reflect changes in childcare settings. Second, an objective measurement was incorporated into the recognition scale of childcare teachers' rights. Third, the analysis using the proposed scale revealed a correlation between the recognition of childcare teachers' rights and life satisfaction. Conclusion/Implications: The study developed a scale capable of objectively measuring the recognition of childcare teachers' rights.

• 디지털융복합연구
• /
• 제11권8호
• /
• pp.143-157
• /
• 2013

본 논문은 창업과 관련하여 선행연구가 많이 이루어져 왔던 개인특성 접근법 보다는 환경론적 접근법에 의한 이론적 기반을 토대로 하여 창업의지에 미치는 영향을 규명하고자 하였다. 특히 한국인들에게 높게 나타나고 있는 사업실패부담감이 창업환경과 창업의지 간 부정적 영향을 미치는 매개변수 역할을 할 것인가에 대한 가설을 검증하였다. 이를 위해 잠재창업자인 대학생 및 일반인들을 대상으로 설문조사를 실시하였으며 총 335명의 응답을 표본을 대상으로 검증하였다. 연구결과에 의하면, 첫째로, 객관적 창업환경과 잠재 창업가의 자신감 혹은 자기효능감(self-efficacy)으로 정의되는 주관적 환경인식이 창업의지에 유의한 영향력을 미치는 것으로 나타났다. 둘째, 객관적 창업환경 및 주관적 환경인식과 창업의지 간의 관계에서 사업실패부담감이 매개변수 역할을 할 것이라는 가설에서 유의한 결과를 얻었다. 셋째로, 본 논문에서 객관적 창업환경의 설명변수로 채택한 보육제도 여건도 향후 창업의지 결정에 중요한 요인이 될 수 있다는 점이다.

• International journal of advanced smart convergence
• /
• 제9권1호
• /
• pp.193-201
• /
• 2020

The main objective of this study is to investigate the impact of additional modalities on the performance of emotion recognition using speech, facial expression and physiological measurements. In order to compare different approaches, we designed a feature-based recognition system as a benchmark which carries out linear supervised classification followed by the leave-one-out cross-validation. For the classification of four emotions, it turned out that bimodal fusion in our experiment improves recognition accuracy of unimodal approach, while the performance of trimodal fusion varies strongly depending on the individual. Furthermore, we experienced extremely high disparity between single class recognition rates, while we could not observe a best performing single modality in our experiment. Based on these observations, we developed a novel fusion method, called parametric decision fusion (PDF), which lies in building emotion-specific classifiers and exploits advantage of a parametrized decision process. By using the PDF scheme we achieved 16% improvement in accuracy of subject-dependent recognition and 10% for subject-independent recognition compared to the best unimodal results.

• 전자공학회논문지B
• /
• 제31B권4호
• /
• pp.175-182
• /
• 1994

In this study, we present unvoiced consonant recognition system using characteristic parameters of the phoneme of the each syllable. For the recognition, the characteristic parameters on the time domain such as ZCR, total energy of the consonant region and half region energy of the consonant region, and those on the frequency domain such as the frequency spectrum of the transition region are used. The objective unvoiced consonants in this study are /ㄱ/,/ㄷ/,/ㅂ/,/ㅈ/,/ㅋ/,/ㅌ/,/ㅍ/ and /ㅊ/. Each characteristic parameter of two regions extracted from these segmented unvoiced consonants are used for each recognition system of the region, independently, And complementing two outputs of each other system, the final output is to be produced. The recognition system is implemented using MLP which has learning ability. The recognition simulation results for 112 unvoiced consonant samples are that average recognition rates are 96.4$\%$ under 80$\%$ learning rates and 93.7$\%$ under 60$\%$ learning rates.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국제학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
• /
• pp.1037-1040
• /
• 1988

In this study, we performed the recognition test on Korean vowel using peripheral auditory model. In addition, for the purpose of objective comparision, the recognition test is performed by extracting LPC cepstrum coefficients from the same data. And the same speech data are mixed with the Guaussian white noise quantitatively, then we repeated the same test, too. So we verified that this auditory model has a adaptability on noise.

• ETRI Journal
• /
• 제32권1호
• /
• pp.160-162
• /
• 2010

For the acoustic models of embedded speech recognition systems, hidden Markov models (HMMs) are usually quantized and the original full space distributions are represented by combinations of a few quantized distribution prototypes. We propose a maximum likelihood objective function to train the quantized distribution prototypes. The experimental results show that the new training algorithm and the link structure adaptation scheme for the quantized HMMs reduce the word recognition error rate by 20.0%.

• 근관절건강학회지
• /
• 제7권2호
• /
• pp.241-257
• /
• 2000

Rheumatoid arthritis as one of the chronic illness requiring management in long period of time puts great burden to patients, their family and society. For patients with chronic illnesses, providing a social support is important and the most important source comes from spouses. Therefore we assessed burden of husbands of female rheumatoid arthritic patients and also found out the factors affecting burden. The sample of study was 107 female rheumatoid arthritic patients and their spouses. The tool of assessing spouses' burden was the revised version of subjective and objective parameters developed by Montgomery et al.(1985). The results are as follows: 1. General characteristics of patients and spouses: The mean age of the patients was 48 years. Educational level of patients was high school 41.1%. The mean age of the spouses was 51years. Educational level of spouses was mostly high school(40.2%) and college(29.9%) graduate. The mean marital period was 23.4years. Average income per month was 1,609,000 won. The average duration since diagnosis was 9.4years. As a therapy, 67.3% chose standard drug therapy. Average rating of discomfort by patient was 3.05(range 1-5) and that of severity was 3.48 and that of dependency was 2.58. The husband's rating of their spouses disease severity was 3.68. 2. Husbands' burden: The average burden in subjective items was 21.61(range 6-36) and objective items was 35.24(range 10-60). The average of total burden was 56.59(range 16-96). 3. Husband's total burden correlated with patient's age, educational level of patients, therapy method, patient's level of discomfort, patient's severity, patient's level of dependence, husband's recognition of level of severity in statistical level. Husband's objective burden correlated with patient's age, educational level of patient, patient's level of discomfort, husband's recognition of level of severity. Husband's subjective burden correlated with patient's age, educational level of patients, therapy method, patient's severity, patient's level of dependence, husband's recognition of level of severity. 4. Linear correlation analysis on burden: The husbands' total burden is explained in 37 7% by husband's recognition of level of severity and husband's age. The husbands' objective burden is explained in 31.2% by patient's level of dependence, husband's age, husband's recognition of level of severity. The husbands' subjective burden is explained in 26.7% by husband's recognition of level of severity and patient's age. In conclusion, husbands' level of burden is affected by many factors and therefore nursing strategy for relieving burden of middle aged husbands should be individualized taking these factors into consideration.

• International Journal of Ocean System Engineering
• /
• 제2권1호
• /
• pp.16-23
• /
• 2012

In this paper we discussed a new methodology for Urdu Character Recognition system using Dempster-Shafer theory which can powerfully estimate the similarity ratings between a recognized character and sampling characters in the character database. Recognition of character is done by five probability calculation methods such as (similarity, hamming, linear correlation, cross-correlation, nearest neighbor) with Dempster-Shafer theory of belief functions. The main objective of this paper is to Recognition of Urdu letters and numerals through five similarity and dissimilarity algorithms to find the similarity between the given image and the standard template in the character recognition system. In this paper we develop a method to combine the results of the different distance measurement methods using the Dempster-Shafer theory. This idea enables us to obtain a single precision result. It was observed that the combination of these results ultimately enhanced the success rate.