• The Journal of the Acoustical Society of Korea
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• v.43 no.1
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• pp.72-77
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• 2024

Recently, the necessity for sound source localization has grown significantly across various industrial sectors. Among the sound source localization methods, sound intensimetry has the advantage of having high accuracy even with a small microphone array. However, the increase in localization error at high Helmholtz numbers have been pointed out as a limitation of this method. The study proposes a method to compensate for the bias error of the measured sound intensity vector according to the Helmholtz numbers by applying deep learning. The method makes it possible to estimate the accurate direction of arrival of the source by applying a dense layer-based deep learning model that derives compensated sound intensity vectors when inputting the sound intensity vectors measured by a tetrahedral microphone array for the Helmholtz numbers. The model is verified based on simulation data for all sound source directions with 0.1 < kd < 3.0. One can find that the deep learning-based approach expands the measurement frequency range when implementing the sound intensimetry-based sound source localization method, also one can make it applicable to various microphone array sizes.

• Physical Therapy Korea
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• v.17 no.4
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• pp.61-68
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• 2010

The purpose of this study was to investigate the effects of a workplace-based work-conditioning program (WCP) on the management of work-related musculoskeletal disorders (WRMDs) in an automobile-parts manufacturing company. In total, 1,110 subjects with WRMDs participated in workplace-based WCP emphasizing function-centered management and ergonomics. We investigated the incidence of WRMDs variables (number of persons diagnosed with industrial accident-related WHMDs, number of cases of WRMD) and financial benefits (cost of workers' compensation insurance and lost work days related to WRMDs) per year before and after WCP. Additionally, we compared self-reported pain intensity and functional disability in subjects with musculoskeletal pain before and after the WCP. Pain intensity was measured using a visual analog scale (VAS), and functional disability was measured by the neck disability index (NDI) and the Oswestry disability Index (ODI). The number of person diagnosed with industrial accident-related WRMDs, the number of cases of WRMD, the cost of workers' compensation insurance and lost work days related to WRMDs per year decreased by 51%, 37%, 34%, and 47%, respectively, and VAS, NDI, and ODI scores decreased significantly after implementation of WCP (p<.05). Thus, the results of the present study suggest that function-centered, workplace-based WCP was effective in managing WRMDs at an automobile-parts manufacturing company.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.12
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• pp.93-102
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• 1998

In noisy environments, human speech productions are influenced by noises(Lombard effect), and speech signals are contaminated. These distortions dramatically reduce the performance of speech recognition systems. This paper proposes a method of the Lombard effect compensation and noise suppression in order to improve speech recognition performance in noise environments. To estimate the intensity of the Lombard effect which is a nonlinear distortion depending on the ambient noise levels, speakers, and phonetic units, we formulate the measure of the Lombard effect level based on the acoustic speech signal, and the measure is used to compensate the Lombard effect. The distortions of speech under noisy environments are cancelled out as follows. First, spectral subtraction and band-pass filtering are used to cancel out noise. Second, energy nomalization is proposed to cancel out the variation of vocal intensity by the Lombard effect. Finally, the Lombard effect level controls the transform which converts Lombard speech cepstrum to clean speech cepstrum. The proposed method was validated on 50 korean word recognition. Average recognition rates were 82.6%, 95.7%, 97.6% with the proposed method, while 46.3%, 75.5%, 87.4% without any compensation at SNR 0, 10, 20 dB, respectively.

• Journal of Broadcast Engineering
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• v.25 no.4
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• pp.598-608
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• 2020

In this paper, we propose a color correction technique for images acquired through a multi-view camera system for acquiring a 3D model. It is assumed that the 3D volume is captured indoors, and the position and intensity of the light is constant over time. 8 multi-view cameras are used, and converging toward the center of the space, so even if the lighting is constant, the intensity and angle of light entering each camera may be different. Therefore, a color optimization function is applied to a color correction chart taken from all cameras, and a color conversion matrix defining a relationship between the obtained 8 images is calculated. Using this, the images of all cameras are corrected based on the standard color correction chart. This paper proposed a color correction method to minimize the color difference between cameras when acquiring an image using 8 cameras of 3D objects, and experimentally proved that the color difference between images is reduced when it is restored to a 3D image.

• The Journal of the Acoustical Society of Korea
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• v.15 no.4
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• pp.83-92
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• 1996

This paper describes Lombard effect compensation and noise suppression so as to reduce speech recognition error in noisy environments. Lombard effect is represented by the variation of spectral envelope of energy normalized word and the variation of overall vocal intensity. The variation of spectral envelope can be compensated by linear transformation in cepstral domain. The variation of vocal intensity is canceled by spectral magnitude normalization. Spectral subtraction is use to suppress noise contamination, and band-pass filtering is used to emphasize dynamic features. To understand Lombard effect and verify the effectiveness of the proposed method, speech data are collected in simulated noisy environments. Recognition experiments were conducted with contamination by noise from automobile cabins, an exhibition hall, telephone booths in down town, crowded streets, and computer rooms. From the experiments, the effectiveness of the proposed method has been confirmed.

• Journal of The Korean Society of Grassland and Forage Science
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• v.7 no.1
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• pp.8-17
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• 1987

Four foreign pasture cultivars such as Lotus corniculatus cv. Maitland, Trifolium pratense cv. Deben, Lolium perenne cv. $S_{23}$ and .Dactylis glomerata cv. $S_{26}$ were tested with "Kwisan" series, a common upland soil in Southern part of Korea. The cultivars in single or mixture were grown in pot with two levels of light intensity, i.e. a full sun light condition and 50% interception. Dry matter yield of top and root and their seasonal changes, the number of tillers or branches per plant and finally competative effects of mixtures were evaluated by estimating the expected yield, relative yield totals and compensation index. The results are summarized as follows: 1. Maitland showed a significant decrease in dry matter yield in shade condition, but the number of branches of Maitland was higher than those of Deben. 2. Maitland showed higher dry matter yield than Deben during the mid-summer period, while $S_{23}$, showed higher dry matter yield than $S_{26}$ during early season. 3. Mixtures of $S_{23}$ and Maitland, and $S_{26}$ and Deben gave better response to grasses by increasing the number of tillers in shade condition. 4. Combinations of Lotus corniculatus cv. Maitland and Dactylis glomerata cv. $S_{26}$ and Trifolium pratense cv. Deben and Dactylis glomerata cv. $S_{26}$ gave higher relative yield totals and higher compensation index, which envisages that the pasture establishment rates can be enhanced when those mixtures were sown by the oversowing method in the upland soil where phosphate level is very low and infertile in general.n general.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.677-688
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• 2017

In order to solve the undetected probability of multiple targets in ultra-wideband (UWB) through-the-wall radar imaging (TWRI), a time-delay and amplitude modified back projection (BP) algorithm is proposed. The refraction point is found by Fermat's principle in the presence of a wall, and the time-delay is correctly compensated. On this basis, transmission loss of the electromagnetic wave, the absorption loss of the refraction wave, and the diffusion loss of the spherical wave are analyzed in detail. Amplitude compensation is deduced and tested on a model with a single-layer wall. The simulating results by finite difference time domain (FDTD) show that it is effective in increasing the scattering intensity of the targets behind the wall. Compensation for the diffusion loss in the spherical wave also plays a main role. Additionally, the two-layer wall model is simulated. Then, the calculating time and the imaging quality are compared between a single-layer wall model and a two-layer wall model. The results illustrate the performance of the time-delay and amplitude-modified BP algorithm with multiple targets and multiple-layer walls of UWB TWRI.

• Journal of Korean Academy of Rural Health Nursing
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• v.18 no.1
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• pp.40-48
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• 2023

Purpose: This study is a descriptive research that analyzes the current status of education for COVID-19 response tasks and factors affecting work fatigue of primary health care practitioners who have experience in dispatching to respond to COVID-19. Methods: This study collected data through an online survey from September 21 to 29, 2022, targeting 193 primary health care practitioners. The data were analyzed by frequency, percentage, mean, standard deviation, and logistic regression analysis using the SPSS 25.0 program. Results: 74.1% of the study subjects were dispatched without receiving disaster medical training to respond to COVID-19. 59.6% of the study subjects' work fatigue was above the level of being very tired. The factors that affect the work fatigue of the subjects were disaster participation experience, work intensity, compensation regulations, compensation satisfaction, and understanding of COVID-19 guidelines. Conclusion: Based on the results of this study, an educational program for systematic disaster response and preparation for primary health care practitioners in charge of public health care should be developed to efficiently cope with the occurrence of new infectious diseases in the future.

• Journal of Bio-Environment Control
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• v.7 no.3
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• pp.268-274
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• 1998

The mass flow of water in the stem of melon measured by Sap Flow Gauge was compared with the actual flow calculated by the difference between supply and drainage nutrient water to investigate the possibility and accuracy of estimation of melon's transpiration in rockwool culture. The Sap Flow Gauge which was made with copper-constantan theromocouple and nichrome fiber by our research team, was attached to the 3rd node of melon. The outdoor temperature, room temperature, solar radiation and relative humidity were continually measured. The amount of supply and drainage nutrient water were simultaneously measured for calculation of practical consumption of nutrient water to compare with mass flow of sap. The measuring errors of Sap Flow Gauge were 0.3 to 31.8%, which were small at solar radiation of 20MJ.m$^{2}$.d$^{-1}$ . The mass flow of water was lower for the measured value by Sap Flow Gauge than the actual value at higher solar intensity, however it was higher at lower solar intensity The variation of error rate of each Sap Flow Gauge was 0.1 to 13.0%. The measuring error with Sap Flow Gauge was negatively related with solar intensity and temperature. Therefore, to measure more exactly the mass flow of sap for estimation of melon's transpiration, the compensation factor must be calculated.

• The KIPS Transactions:PartB
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• v.9B no.3
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• pp.369-374
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• 2002

In this paper, we propose the react-time car license plate recognition algorithm using intensity variation and geometric pattern vector. Generally, difference of car license plate region between character and background is more noticeable than other regions. And also, car license plate region usually shows high density values as well as constant intensity variations. Based on these characteristics, we first extract car license plate region using intensity variations. Secondly, lightness compensation process is performed on the considerably dark and brightness input images to acquire constant extraction efficiency. In the proposed recognition step, we first pre-process noise reduction and thinning steps. And also, we use geometric pattern vector to extract features which independent on the size, translation, and rotation of input values. In the experimental results, the proposed method shows better computation times than conventional circular pattern vector and better extraction results regardless of irregular environment lighting conditions as well as noise, size, and location of plate.