Transactions of the Society of Information Storage Systems
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v.2
no.1
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pp.50-55
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2006
As high performance and high speed have been accomplished by technology of optical disk drive. optical disk drives have gradually high percentage of the market share in market of storage devices. This technology helps to improve the quality of record/reproduction. However, simultaneously it causes various problems in the structural aspect and increases noise largely. Especially at high speed, dominant noise is more influenced by fluid noise than by structure-borne noise. The purpose of this study is that reduce the air-born noise in optical disk drive as it decreases a quantity of flow by using a micro muffler. The micro muffler is a miniaturized muffler. The muffler is used widely by solution to reduce air-borne noise which is generated by flow. According to frequency band of the noise source, it can be applied by muffler of various forms. In this study, we examined the acoustic characteristics of the micro muffler and applied it to reduction of the ODD noise. It could get an excellent noise reduction in high frequency band through the decrease of an inner flow. But it could not get a noise reduction in low frequency band.
Kim, Tae-Min;Kim, Jeung-Tae;Kim, Jung-Soo;Kim, Seock-Hyun
Proceedings of the KSR Conference
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2011.10a
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pp.663-669
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2011
Since railway vehicle's improvements on speed and weight has caused interior noise, the passenger's convenience fell dramatically. Therefore many on-going researches are dedicated to reduce interior noise. In this study the analytical prediction of interior noise reduction has done through filling up the empty space using form and to modify the floor structure, which contributes highly with interior noises. Using Statistical Energy Analysis(SEA), the interior noise of the vehicles without the form filling on the floor structure and the vehicles with form filling and also a modified structure has been predicted. The selected percentage of form filling was 0, 50, 100% and through this research the analysis of noise reduction by form filling has been made. When floor structure has been filled with form, approximately 2 dB of noise reduction was observed and the difference of noise reduction level with 50 and 100% form filling was predicted to be very little. Through this study, the expectation of interior noise reduction in high speed trains is considered high.
Transactions of the Korean Society for Noise and Vibration Engineering
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v.14
no.11
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pp.1153-1160
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2004
In contemporary society, vibration and noise in the road nearby buildings have become social problems as vehicles operation has increased. Especially. in the case of the building used to art performance, available suitability of the building is tested by the indoor noise class. Therefore, the Purpose of this paper is the measurement of the structure-borne noise of Seoul Art Center nearby Umyeonsan tunnel and analyzing the effects of countermeasure to it. To measure the effects of countermeasure, not only structure-borne noise is measured, but also the vibration is measured, before and after the construction of Pavement using pad and porous asphalt. Consequently, the sound pressure level in art center 1st floor is reduced after mat pavement method, structure-borne noise that was high In 25Hz wide-band before pavement decreased regardless of experimental vehicle's velocity Using porous asphalt pavement the noise was reduced about 3 dB(A).
PURPOSES : This study is to predict the Sound Pressure Level(SPL) obtained from the Noble Close ProXimity(NCPX) method by using the Extended Kalman Filter Algorithm employing the taylor series and Linear Regression Analysis based on the least square method. The objective of utilizing EKF Algorithm is to consider stochastically the effect of error because the Regression analysis is not the method for the statical approach. METHODS : For measuring the friction noise between the surface and vehicle's tire, NCPX method was used. With NCPX method, SPL can be obtained using the frequency analysis such as Discrete Fourier Transform(DFT), Fast Fourier Transform(FFT) and Constant Percentage Bandwidth(CPB) Analysis. In this research, CPB analysis was only conducted for deriving A-weighted SPL from the sound power level in terms of frequencies. EKF Algorithm and Regression analysis were performed for estimating the SPL regarding the vehicle velocities. RESULTS : The study has shown that the results related to the coefficient of determination and RMSE from EKF Algorithm have been improved by comparing to Regression analysis. CONCLUSIONS : The more the vehicle is fast, the more the SPL must be high. But in the results of EKF Algorithm, SPLs are irregular. The reason of that is the EKF algorithm can be reflected by the error covariance from the measurements.
An, Deok Soon;Mun, Sung Ho;An, Oh Seong;Kim, Do Wan
International Journal of Highway Engineering
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v.17
no.6
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pp.11-18
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2015
PURPOSES : The purpose of this thesis is to evaluate the effectiveness of an active noise cancellation (ANC) system in reducing the traffic noise level against frequencies from the predictive model developed by previous research. The predictive model is based on ISO 9613-2 standards using the Noble close proximity (NCPX) method and the pass-by method. This means that the use of these standards is a powerful tool for analyzing the traffic noise level because of the strengths of these methods. Traffic noise analysis was performed based on digital signal processing (DSP) for detecting traffic noise with the pass-by method at the test site. METHODS : There are several analysis methods, which are generally divided into three different types, available to evaluate traffic noise predictive models. The first method uses the classification standard of 12 vehicle types. The second method is based on a standard of four vehicle types. The third method is founded on 5 types of vehicles, which are different from the types used by the second method. This means that the second method not only consolidates 12 vehicle types into only four types, but also that the results of the noise analysis of the total traffic volume are reflected in a comparison analysis of the three types of methods. The constant percent bandwidth (CPB) analysis was used to identify the properties of different frequencies in the frequency analysis. A-weighting was applied to the DSP and to the transformation process from analog to digital signal. The root mean squared error (RMSE) was applied to compare and evaluate the predictive model results of the three analysis methods. RESULTS : The result derived from the third method, based on the classification standard of 5 vehicle types, shows the smallest values of RMSE and max and min error. However, it does not have the reduction properties of a predictive model. To evaluate the predictive model of an ANC system, a reduction analysis of the total sound pressure level (TSPL), dB(A), was conducted. As a result, the analysis based on the third method has the smallest value of RMSE and max error. The effect of traffic noise reduction was the greatest value of the types of analysis in this research. CONCLUSIONS : From the results of the error analysis, the application method for categorizing vehicle types related to the 12-vehicle classification based on previous research is appropriate to the ANC system. However, the performance of a predictive model on an ANC system is up to a value of traffic noise reduction. By the same token, the most appropriate method that influences the maximum reduction effect is found in the third method of traffic analysis. This method has a value of traffic noise reduction of 31.28 dB(A). In conclusion, research for detecting the friction noise between a tire and the road surface for the 12 vehicle types needs to be conducted to authentically demonstrate an ANC system in the Republic of Korea.
Purpose: The research were conducted to identify the knowledge, attitude and the preventive behaviour of noise according to noise-induced hearing loss prevention education and to provide primary data for effective noise-induced hearing loss prevention education for noise-exposed workers. Method: 104 noise-exposed workers were included in this study. The instrument used in this study was knowledge, attitude and preventive behavior of noise tool by Lee & Lee(1996). The first data were collected before the noise education from August to September, 2002. During 6 months, the education was provided, and then the second data were collected from April to May, 2003. Data were analyzed by SPSS 10.0 win program for finding frequency, percentage, mean, standard deviation, t-test, and ANOVA. Results: The results of this study were as follows: There were statistically significant differences of knowledge and attitude of noise related education level, and adhesion quality of wearing ear protection equipment after noise education. Also, otitis media's history, received education of the personal protective devices for the hearing conservation was significant in the preventive behaviour of noise. Conclusion: In conclusion, the noise-induced hearing loss prevention education was effective in changing the knowledge, attitude and the prevention behaviour of noise. Therefore, the noise-induced hearing loss prevention education is strongly recommended for noise-exposed workers and it will be necessary repeated education for changing prevention behaviour of noise.
Purpose: This study was done to identify nursing interventions clinically applicable to relieve displeasure and anxiety of patients having an operation in which loud noise was unavoidable. Methods: Participants were 34 patients scheduled to have a total knee replacement. They were assigned to either the control (17 patients) or experimental (17 patients) group. Data were collected from September to November 2010. The instruments used for the survey included noise-control earplugs, a noise level meter (TES-1358) and a structured scale measuring degree of noise perception, displeasure and anxiety. Data were analyzed using frequency, percentage, standard deviation, $x^2$-test, and t-test with the SPSS WIN 18.0 program. Results: Hypothesis 1: 'The displeasure levels of the experimental group of patients wearing earplugs will be lower than the control group patients without earplugs' was accepted (t=-20.769, p<.001). Hypothesis 2: 'The anxiety levels of the experimental group of patients wearing earplugs will be lower than the control group patients without earplugs' was accepted (t=-6.298, p<.001). Conclusion: Based on these findings, the wearing of earplugs for patients having a surgical operation with loud noises is recommended as an effective nursing intervention to relieve patient displeasure and anxiety during their surgical operations.
In order to investigate industrial fatigue due to visual display terminal (VDT) work of banking operations the questionnaire survey for subjective symptoms of fatigue was carried out on 470 bank clerks who had been engaged in VDT work for various length of work hours. The questionnaires comprised three groups of 10 items each, representing dullness and sleepiness (level of cerebral activation), difficulty in concentration (level of motivation) and bodily projection of fatigue. The results were as follows : 1. Of the 30 items of questionnaires, the highest percentage was accounted for by 'eye strain' (51.5% ), followed by 'feel stiffness in the neck or the shoulders'(33.4%), 'feel a pain in the low back'(26.8%), 'whole body feels tired'(19.6%) and 'feel headache'(17.9%) in the order of sequence. 2. The average weighted score for the first group of questionnaire items (dullness and sleepiness) was the largest among three groups and was followed by 'the third cup (bodily projection of fatigue) and the second item group (difficulty in concentration) in the order of sequence, suggesting the heavier mental stress of VDT work in banking operations rather than physical burden. 3. In terms of the age and sex of workers, work duration and VDT work percentage, the difference in average weighted score was noted only between sex, the score of female being larger than that of male. 4. The complaint rates of subjective symptoms showed close associations with the subjective optimums of room temperature, ventilation, illumination and noise level. 5. The significant correlation was showed between age, work duration and item of 'whole body feels tired', between VDT work percentage and items of 'eye strain' and 'feel stiffness in the neck or shoulders' and between all items of subjective symptoms.
The study was conducted with 27 health mangers working in manufacturing industries. The purpose of this study was to analyze the health manager's employment status, health examination, and it's follow. up health management level(about the industrial type). The results are as follows: 1. Characteristics of Manufacturing Industries: The ratio of nurse to employees is 1 : 552.6 and the percentage of physician employed was 51.9% All of the physicians were part time except one. 2. Health Examination and Follow Up ; 1) Periodic screening examinations were provided to 92.39% of the employees. Of these 11.56% required a detailed examination. Follow up on routine cases were done for 51.69%. Follow up on intensive cases were done 13.97%. 2) 62% of all employees working in hazardous conditions(noise, artificial light 74.1%) are required to receive a special health examination bi annually. Of these 96.66% were examined. 11.24% of these employees required a detailed follow up examination. 3. Relevancy between health management level, industrial type, and health manager's status 1) Health clinic operated separately except one case. Nursing activity level :. health diagnosis(0.27) Occupational condition (0.97) Health education(0.81) Health assessment(0.74) Health education level is higher at the industries working in environmental technician(P=0.017). The other's significance is not shown by any type of the staff.
Objectives: A hospital is a complex building that serves many different purposes. The indoor environment in a hospital plays a major role in patient well-being and the work efficiency of the hospital staff. This study was conducted to evaluate overall comfort in two major hospitals over the course of one year. Methods: Various indoor environmental conditions were measured in two general hospitals for one year (April 2014 to April 2015). Monitoring alternated between the hospitals at one month per respective monitoring session. The indoor air temperature, relative humidity (RH), mean radiant temperature and air velocity were measured in order to calculate the predicted mean vote (PMV). Carbon dioxide concentration, noise level and illumination level were concurrently measured and applied to the overall IEQ acceptance model for the hospitals (IEQh). Results: The IEQh at the two general hospitals was different at five spaces within a building. The IEQh for summer and winter were significantly different. Real-time IEQh demonstrated that indoor comfort was affected by the hospital's operating hours due to operation of the HVAC system. The percentage of indoor comfort in the hospitals was higher using PMV than IEQh. Conclusion: IEQh in the hospitals was different at locations with different purposes. Indoor comfort assessment using IEQh was stricter than with PMV. Additional research is needed in order to optimize the IEQh model.
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