• The Journal of the Acoustical Society of Korea
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• v.42 no.6
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• pp.603-616
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• 2023

In this study, machine learning-based clustering and classification of residential noise in apartment buildings was conducted using frequency and temporal characteristics. First, a residential noise source dataset was constructed . The residential noise source dataset was consisted of floor impact, airborne, plumbing and equipment noise, environmental, and construction noise. The clustering of residential noise was performed by K-Means clustering method. For frequency characteristics, L_eq and L_max values were derived for 1/1 and 1/3 octave band for each sound source. For temporal characteristics, Leq values were derived at every 6 ms through sound pressure level analysis for 5 s. The number of k in K-Means clustering method was determined through the silhouette coefficient and elbow method. The clustering of residential noise source by frequency characteristic resulted in three clusters for both L_eq and L_max analysis. Temporal characteristic clustered residential noise source into 9 clusters for L_eq and 11 clusters for L_max. Clustering by frequency characteristic clustered according to the proportion of low frequency band. Then, to utilize the clustering results, the residential noise source was classified using three kinds of machine learning. The results of the residential noise classification showed the highest accuracy and f1-score for data labeled with L_eq values in 1/3 octave bands, and the highest accuracy and f1-score for classifying residential noise sources with an Artificial Neural Network (ANN) model using both frequency and temporal features, with 93 % accuracy and 92 % f1-score.

• Korean Business Review
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• v.20 no.1
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• pp.105-122
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• 2007

This paper identifies the dimensions of political risk on the basis of the classification between risk and uncertainties to implement the precise identification and assessment of the various types of political risk and develop the sound assessment model to accomplish their practical applications. This paper shows the concrete and detailed processes of deriving the assessment models and applying them with the microsoft excel spreadsheet, confirms the result of Butler and Joaquin(1998), and presents the methods of identifying the various combination effects of the political risk impact and the covariance relationship with the market portfolio return through the sensitivity analysis.

• Child Health Nursing Research
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• v.26 no.2
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• pp.296-308
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• 2020

Purpose: The purpose of this study was to identify the noise level and frequency experienced by premature infants receiving incubator care in the neonatal intensive care unit (NICU). Methods: The participants were 20 premature infants receiving incubator care in the NICU of a university hospital in Daejeon Metropolitan city. The noise level was measured using a professional sound-level meter (ET-958, FLUS, Shenzhen, China) based on a noise classification table developed by the author. The data were analyzed with descriptive statistics, the t-test, analysis of variance, and Pearson correlation coefficients using SPSS for Windows version 22.0. Results: The average noise level experienced by premature infants receiving incubator care in the NICU was 51.25 dB (range: 45.0~81.7 dB). The frequency of noises was highest for factors related to nursing activities (40.3%), followed by human factors (29.1%), machine alarm sounds (20.1%), incubator operation (6.6%), and internal environmental factors (3.9%). Conclusion: According to the above results, the noise level experienced by premature infants receiving incubator care in the NICU exceeded the recommendations of the American Academy of Pediatrics. Therefore, it is necessary to develop an interventional program to reduce noise in the NICU, and to conduct follow-up studies to verify its effectiveness.

• Journal of the Korean Society of Safety
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• v.5 no.2
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• pp.66-75
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• 1990

This study is conducted to establish the structural standard of tube and coupler scaffold which is suitable for our present stuation through the comparison analysis for domestic and foreign standards as well as measurement of field survey. The results of this study are as follows ： 1) The load is classified by three categories, light-duty(equal and lower than 150kg/m$^2$), medium-duty(150-250 kg/m$^2$), heavy-duty(250-350kg/m$^2$), and the equivalent horizontal length of side posts is each, 1.5-1.8m, 1.2-1.5m, equal and lower than 1.2m, and the equivalent horizontal length between front and rear posts is each 1.2-1.5m, 0.9-1.2m, equal and lower thatn 0.9m, in accordance with the load classification. 2) The height between upper and lower runner is equal and lower than 1.5m, and the brace across the width of scaffold should be installed within 15m in horizontal direction at 45 degree angle. 3) The entire scaffold should be securely tied to the wall of permanent structure with uslng anchor and bolt at intervals not to exceed 6m in case of non-connection and 4.5m in case of connection in both horizontal and vertical direction. 4) The post should be installed on the sound foundation tied to lumber footing with using base plate, and standard platform plank should be produced in the factory and widely used in the construction field.

• 전자공학회논문지 IE
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• v.47 no.4
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• pp.10-17
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• 2010

There is no general method to find out from signals of the channel outputs of ICA(Independent Component Analysis) which is what you want. Assuming speech signals contaminated with the sound from the muffler of a car, this paper presents the method which shows what you want, It is anticipated that speech signals will show larger correlation coefficients for speech signals than others. Batch, maximum and average method were proposed using 'ah', 'oh', 'woo' vowels whose signals were spoken by the same person who spoke the speech signals and using the same vowels whose signals are by another person. With the correlation coefficients which were calculated for each vowel, voting and summation methods were added. This paper shows what the best is among several methods tried.

• Proceedings of the KSPS conference
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• 2007.05a
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• pp.3-23
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• 2007

King Sejong the Great, his students in Jip-hyeun-jeon school and Choe Sejin, their successor of the sixteenth century, indicated Middle Korean had three distinctive pitches, low, high, and rising (phyeong-, geo-, sang-sheong). Thanks to $Hun-min-jeng-{\emptyset}eum$ as well as its Annotation and side-dots literatures in fifteenth and sixteenth centuries, we can compare Middle Korean with Hamgyeong dialect, Gyeongsang dialect, and extant tone dialects with joint preservers of what was probably the tonal system of unitary mother Korean language. What is most remarkable about middle Korean phonetic work is its manifest superiority in conception and execution as anything produced in the present day linguistic scholarship. But at this stage in linguistics, prior to the technology and equipment needed for the scientific analysis of sound waves, auditory description was the only possible frame for an accurate and systematic classification. And auditory phonetics still remains fundamental in pitch description, even though modern acoustic categories may supplement and supersede auditory ones in tonological analysis. Auditory phonetics, however, has serious shortcoming that its theory and practice are too subject to be developed into the present century science. With joint researchers, I am developping a new pitch scale. It is a semiautomatic auditory grade pitch analysis program. The result of our labor will give a significant breakthrough to upgrade our component in linguistics.

• Journal of Contemporary Eastern Asia
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• v.13 no.2
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• pp.41-56
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• 2014

This research paper advances our understanding of complex interdependence among countries. Existing research has found that total factor productivity (TFP), the residual from the economic growth function, is hindered in the absence of a country's strong political and legal institutions or if a country does not already have a sufficiently high level of TFP. We also know that regional efforts to eliminate pollution are complex. Bridging these two areas while focusing on a high polluting yet high innovating region, the following research questions are posed: Are Northeast Asian countries key collaborators in pursuit of green R&D? Are Northeast Asian countries collaborating extensively with each other? What are the implications for other regions' attempts to establish these kinds of relations? To answer the above questions, biofuels-related technology as defined in the International Patent Classification's "green inventory" of environmentally sound technologies is examined. Patent data is drawn from the USPTO and inventors' country origin as the unit of analysis. For the 1990-2013 period, the Northeast Asian countries are in the core of a small set of collaborating countries. There is evidence that their centrality has increased in recent years. Most importantly, East Asia is becoming a singular research hub in terms of biofuels-related R&D, offering a counter in the foreseeable future to the dominance of the American and European research network hubs.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1042-1049
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• 2007

Recently, a theoretically-sound design approach, using an elastic multilayer model, is attempted in trackbed designs for the construction of high speed railways and new lines of conventional railways. In the elastic multilayer model, the stress-dependent resilient modulus($E_R$) is an important input parameter, that is, reflects substructure performance under repeated traffic loading. However, the evaluation method for resilient modulus using repeated loading triaxial test is not fully developed for practical purpose, because of costly equipment and the significantly fluctuated values depending on the testing equipment and laboratory personnel. In this study, the paper will present an indirect method to estimate the resilient modulus using dynamic properties. The resilient modulus of crushed stone, which is the typical material of sub-ballast, was calculated with the measured dynamic properties and the range of stress level of the sub-ballast, and approximated with the power model combined with bulk and deviatoric stresses. The resilient modulus of coarse grained material decreases with increasing deviatoric stress at a confining pressure, and increases with increasing bulk stress. Sandy soil(SM classified from Unified Soil Classification System) of subgrade was also evaluated and best fitted with the power model of deviatoric stress only.

• Journal of Families and Better Life
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• v.6 no.1
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• pp.205-221
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• 1988

The purpose of this study is to classify several variable which were assumed to have relationship with the college students behavior of Hyo, to see their possible correlation with demographic characteristics, and to proved some useful data for their possible correlation with demographic characteristics. and to provide some useful data for their sound value system. The data for this study was obtained form the survey of the 477 students who reside in the city of Seoul by using questionnaire methods. The frequency of variables was statistically analyzed to see the general character of the samples and factor analysis was made for classification of the college student's behavior of Hyo. In order to study th characteristic of demographic variables, t-test and ANOVA were conducted The major findings of this study can be summarized as follows. 1) As the result of factor analysis about behavior of Hyo, six factors (Which Eigen value was above 1.0) out of 64 questions were extracted : 'respect' familiarity' 'family consciousness' 'serve' self-preservation, establishmence of them-selves in life' and 'self-reliance' were selected. 2)In general, it can be said that the college students' behavior of Hyo varies by demographic variables. 3) By surveying the level of actualizing Hyo of the college students' all of factors ranged from 'the middle' to 'the high level'. The result confirmed that students fulfilled the behavior of Hyo to their parents in all items.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.611-614
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• 2016

최근 철도 산업의 비중이 증가함에 따라 열차의 안정적인 주행이 그 어느 때보다 중요한 이슈로 부각되고있다. 특히, 열차의 진로 변경을 위한 핵심 요소인 선로전환기의 결함은 열차의 사고와 직결되는 장비 중 하나로써, 그 이상 여부를 사전에 인지하여 선로전환기의 안정성을 확보하기 위한 유지보수의 지능화 시스템이 필요하다. 본 논문에서는 선로전환기의 작동 시 발생하는 소리정보를 활용하여 선로전환기의 비정상 상황을 분류하는 시스템을 제안한다. 제안하는 시스템은 먼저, 선로전환기의 상황별 소리를 수집하고, 다양한 소리정보를 추출하여 특징 벡터를 생성한다. 다음으로, 딥러닝 모델 중 하나인 DNN(Deep Neural Network)을 이용하여 선로전환기의 비정상 상황을 분류한다. 실제 선로전환기의 전환 시 발생하는 소리 데이터를 기반으로 DNN의 파라미터에 따른 다양한 실험을 수행한 결과, 약 93.10%의 정확도를 갖는 안정적인 DNN 모델을 설계하였다.