• Journal of environmental and Sanitary engineering
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• v.17 no.2
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• pp.55-62
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• 2002

For my thesis I have analyzed the differences between the traffic noise level surrounding the schools and the perceived level of noise. 1 have used the ways of measurement and questionnaires to support my study. According to the analysis, the measured noise level was higher than the expected noise level. The equivalent noise level was proven to be higher when the windows of the classrooms were open. The noise level was also higher on the third floor than the first floor. The correlation between the measured noise level and the perceived level of noise was tested in each school. The school which had a higher expected noise level showed a high perceived level of noise. The measured noise level and the perceived level of noise became larger on the higher floors. Through the questionnaires, the traffic noises were proven to be the largest noise-making source surrounding the schools. Most of the students replied on the questionnaires that they have been consistently bothered by the noise. It interfered with their studies and concentration. Also, the sound of their voices became louder because of the noise around their schools. Therefore, I have come to the conclusion that the traffic noises that surround the schools give the students negative influences.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.5 no.2
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• pp.128-136
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• 1995

The purpose of this study is to evaluate the difference of noise level according to noise measuring methods in the noisy working environments. Sound pressure level(SPL), equivalence sound level(Leq) and personal noise exposure dose(Dose) in the fifty-nine unit workplaces of the twenty-eight industries were measured and relating factors which were affected noise level were investigated. The results were as follows ; 1. The noise levels were $88.70{\pm}5.68dB(A)$ by SPL, $89.07{\pm}5.41dB(A)$ by Leq and $89.07{\pm}5.69$ by Dose. The differences of noise levels by three measuring methods were statistically significant(P<0.001) by repeated measure ANOV A. 2. Comparing with noise levels by general classes of noise exposure, noise levels of continuous noise were $89.14{\pm}5.19dB(A)$ by SPL, $89.45{\pm}4.65dB(A)$ by Leq and $90.04{\pm}5.09$ by Dose. Noise levels of intermittent noise were $87.90{\pm}6.52dB(A)$ by SPL, $88.40{\pm}6.63dB(A)$ by Leq and $90.10{\pm}6.80$ by Dose. The differences noise level of noise measuring methods by general classese of noise exposure were statistically not significant by repeated measure ANOV A. 3. Interaction between general classese of noise exposure and noise measuring methods for noise level was not statistically significant by repeated measure ANOVA. And the noise level by noise measuring methods were statistically significant by repeated measure ANOV A(P<.001) 4. Comparing with noise levels by unit workplace size, noise levels of large unit workplace were $90.73{\pm}5.87dB(A)$ by SPL, $91.32{\pm}5.50dB(A)$ by Leq and $91.82{\pm}6.06$ by Dose and noise levels of middle unit workplace were $88.31{\pm}5.26dB(A)$ by SPL, $88.41{\pm}4.83dB(A)$ by Leq and $89.69{\pm}5.05$ by Dose. And noise levels of small unit workplace were $94.89{\pm}4.10dB(A)$ by SPL, $85.35{\pm}4.11dB(A)$ by Leq and $86.87{\pm}4.98$ by Dose. The noise level differences of noise measuring methods by unit workplace size were statistically significant by repeated measure ANOV A(P<.05). 5. The noise level by noise measuring methods were statistically significant by repeated measure ANOV A(P<.001). But Interaction between workplace size and noise level measuring methods for noise level was not statistically significant by repeated measure ANOVA. According to the above results, there was a difference of the noise level among the three measuring methods. Therefore we must use the personal noise exposure dose using by noise dose meter, possible, to prvent occupational hearing loss in noisy working environment.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.1 no.2
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• pp.173-191
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• 1994

This descriptive-correlational study was conducted to exam if there were relation between noise level and reaction to noise of inpatient. The purpose of this study was to provide a basic data for comfort of patient hospitalized. The hypotheses of the study are : 1. The higher perceived noise level of inpatient, the higher reaction level to noise. 2. The higher perceived noise level of inpatient, physiological reaction level to noise. 3. The higher perceived noise level of inpatient, the higher emotional reaction level to noise. The participant were 153 patients hospitalized in one general hospital. The research instruments used for this study were noise scale and reaction of patient scale developed by the author. Data was collected over a period of 10 days from the 9th of July to the 18th of July, 1994. Statistical analysis of the data included percentage, t-test, ANOVA and Scheffe test. Examination of the hypotheses was done by use of pearson correlation coefficient. The results are summarized as follows ; 1. The mean score of noise level was 2.24. Among noise factors reported by the subjects, that which ranked highest was 'Conversation of Visitors'(2.82). Next were 'noise of handling receptacle'(2.73), 'the others noise from outside'(2.73) and 'Conversation of supporter'(2.71). 2. The mean score of reaction level to noise was 2.19, physiological reaction level 2.04 and emotional reaction level 2.37. Among Physiological reaction to noise reported by the subjects, that which ranked highest was 'tired'(2.39). Next were 'sweating'(2.22) and 'headache'(2.20). Among emotional reaction to noise reported by the subjects, that which ranked highest was 'to irritate nerve'(2.53). Next were 'disturbing rest'(2.51) and 'to disturb sleep'(2.46). 3. The relationship between perceived noise level of inpatient and reaction to noise was statically significant (r=0.599, p=.0001). The relationship between perceived noise level of inpatient and physiological reaction to noise was statically significant (r=0.554, p=.0001). The relationship between perceived noise level of inpatient and emotional reaction to noise was statically significant(r=0.535, p=.0001). Thus hypothese 1, 2, 3 were supported. 4. There were significant differences between noise level of inpatient, admission periods, mobility of physical condition and exposure level to noise. 5. There were significant differences between physiological reaction level to noise, admission periods, mobility of physical condition and operation Yes or No. 6. There were significant difference between emotional reaction level to noise, admission periods, mobility of physical condition and exposure level to noise.

• Journal of the Korean Society of Safety
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• v.15 no.3
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• pp.88-95
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• 2000

The level of noise produced by machinery and its arrangement insides a factory is indicated to be a maximum of 96.1 dB(A). The maximum level of noise from a commoner's house outside the factory is shown to be 62.9 dB(A), which exceeds 60 dB(A), the permitted limit of noise level in a time period of day. us study has predicted the level of noise reduction according to a step by step prevention plan by considering the characteristics of the causes of noise, the permitted limit of noise levels, problems and economical efficiency attendant upon the noise prevention measures. Establishing target levels of noise each of the three steps of the noise prevention plan. The predicted level of noise at the place of a commoner's house in accordance with the first step is 50.0 - 59.0 dB(A), and can satisfy the permitted limit of noise in a time period of the day. In taking prevention measures for the second step, the noise level is 50.7 - 53.6 dB(A) which is less than 55 dB(A) in a time period of the evening, the permitted limit of noise in a time period of night., and it can meet 47.4 - 50.3 dB(A) in the third step.

• Journal of KIBIM
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• v.11 no.1
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• pp.39-46
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• 2021

Urban residents in crowded complexes are making increasing civil complaints about noise and demanding pleasant and comfortable residential environments. Because noise is one of the most important factors related to urban residents' dissatisfaction with their living environments, the present study investigates the direct and indirect effects of noise-related outdoor environmental factors on residential level satisfaction, using noise level data from 29 noise-measuring stations in Seoul. From 62 multi-family apartment complexes near these stations, the authors collected GIS-based environmental attribute data, as well as survey data including the residents' personal characteristics and indicators designed to measure latent psychological characteristics: noise sensitivity and residential noise level satisfaction. This study then utilized structural equation models to analyze the direct variables influencing the latent variables of noise sensitivity and residential noise level satisfaction, as well as the complex relationships among all variables. The result showed that residents who are exposed to less noise, possibly due to living in apartments facing relatively quiet roads, protected by soundproof walls, or surrounded by densely planted trees, tend to be less noise sensitive, which makes them more satisfied with the ambient noise level. Therefore, critical outdoor environmental variables can be used to reduce noise sensitivity and improve residential noise level satisfaction.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.14 no.6
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• pp.520-527
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• 2004

This study was carried out to investigate the present state of noise level including three general districts and two roadside areas at the Residential Area such as Sangmu, Pungam, Moonheung, and Ilgok Area. The noise level was measured quarterly. The results were shown that the noise level of day time was no great difference and that noise level of night time represented ranges between 44 to 48 dB(A). The noise level of day time was higher 4 to 7 dB(A) than night time. At the roadside areas, average noise level of day time was suitable to the requirements of environmental criteria. However. only one point of two points exceeded the noise level of environmental criteria. except Pungam Area. The noise level of night time in all areas was 58 dB(A), showing more 3 dB(A) than the environmental criteria (55 dB(A)). The difference of noise level between day time and night time was approximately 5 to 7 dB(A) in all Area. The noise level of day time was not dependent on all seasons, whereas that night time is dependent on season, especially showing lower noise level in winter. Showing the changes on the times in a day, it reached the highest at 16:00, mainly resulting in a lot of activities of people. The maximum noise level (Lmax) from 3 or 4 military aircraft showed almost the same. The noise level of aircraft in Sangmu Area was 71.5∼78.1 WECPNL.

• Proceedings of the Korean Society for Quality Management Conference
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• 2009.10a
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• pp.317-323
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• 2009

In this paper, we propose new methods which is to determine level of noise factor. Even Taguchi give level of noise factor which is best(or maximum) and worst(or minimum) condition, we give level of noise factor which is representative value by observing noise factor frequency. Sometimes level of noise factor is given one, two and three. We know this method is more fit in real fields.

• Journal of Korean Society for Quality Management
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• v.37 no.4
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• pp.10-15
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• 2009

In this paper, we propose new methods which is to determine level of noise factor. Even Taguchi give level of noise factor which is best(or maximum) and worst(or minimum) condition, we give level of noise factor which is representative value by observing noise factor frequency. Sometimes level of noise factor is given one, two and three. We know this method is more fit in real fields.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.11a
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• pp.480-483
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• 2007

Recently, many apartment houses were built in nearby road and railway. Road traffic noise level and railroad traffic noise level are important factors on apartment houses inhabitant's acoustic comforts. The measurement methods which noted by Ministry of Construction & Transportation, Ministry of Environment and Korean Industrial Standard are used for measurement of exterior noise at apartment houses. The purpose of this study compare the noise level characteristic by the measuring methods and evaluating methods. The results show that road traffic noise in the daytime appeared by not greatly noise level difference by the measuring method and evaluating methods. But railroad traffic noise appeared by greatly the noise level difference by the equivalent noise level(1hour) and continuous time.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2010.10a
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• pp.144-145
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• 2010

3-D noise map of Mugue Dong of the Ulsan City has been constructed. Comparing with the measured noise level, the predicted noise level has been confirmed for its accuracy. Correction factors for better prediction result using the constructed noise map have been investigated proving that its method is useful. The procedure of noise map construction method has also been introduced using RLS-90, Cadna A.