• Phonetics and Speech Sciences
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• v.2 no.4
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• pp.75-82
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• 2010

Many previous studies based on respiratory characteristics of Idiopathic Parkinson's Diseases (IPD) patients have not controlled related factors appropriately. Accordingly, these studies produced discordant results. Furthermore, there is currently a lack of studies that can provide precise explanations on the characteristics of respiration and phonation. This study included a total of 40 subjects: 20 mixed gender de novo IPD patients ranging in age from 50 to 80 (Hoehn & Yahr stage 1~3), and 20 normal subjects with similar matches for age and gender. All participants were controlled based on their gender, age, height, weight, vocal fold function, cognitive abilities, and depression factors. K-MMSE (Korean-Mini Mental State Examination), nVHI-10 (new Voice Handicap Index), and KGDS (Korean Form of Geriatric Depression Scale) were evaluated to select this study subjects. In order to compare respiratory functions between the two groups, FVC, FEV1, and FEV1/FVC were measured using microQuark, a PC-based spirometer. CSL was used by measure MPT and PAS was used to measure MFR. To investigate the characteristics of phonation ability, CSL was used to measure jitter and shimmer, while PAS was used to measure Psub. In order to compare the respiratory function averages and phonation ability between the two groups, statistical analysis was conducted using SPSS (version 12.0). The results of this study showed that most de novo IPD patients were included in the normal average range of respiratory and phonatory ability. But the respiratory and phonatory ability of de novo IPD patients showed lower tendency as compared with the normal group. When the average of respiratory and phonatory ability among the gender was compared, the difference of males was greater than the difference of females.

• The Journal of the Acoustical Society of Korea
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• v.35 no.2
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• pp.134-142
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• 2016

In this paper, a method synthesizing speech signal using the 40 kHz ultrasonic signals reflected from the articulatory muscles was introduced and performance was evaluated. When the ultrasound signals are radiated to articulating face, the Doppler effects caused by movements of lips, jaw, and chin observed. The signals that have different frequencies from that of the transmitted signals are found in the received signals. These ADS (Acoustic-Doppler Signals) were used for estimating of the speech parameters in this study. Prior to synthesizing speech signal, a quantitative correlation analysis between ADS and speech signals was carried out on each frequency bin. According to the results, the feasibility of the ADS-based speech synthesis was validated. ADS-to-speech transformation was achieved by the joint Gaussian mixture model-based conversion rules. The experimental results from the 5 subjects showed that filter bank energy and LPC (Linear Predictive Coefficient) cepstrum coefficients are the optimal features for ADS, and speech, respectively. In the subjective evaluation where synthesized speech signals were obtained using the excitation sources extracted from original speech signals, it was confirmed that the ADS-to-speech conversion method yielded 72.2 % average recognition rates.

• Informatization Policy
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• v.21 no.1
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• pp.17-34
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• 2014

The study on the structure of personal information flows is very important because government can measure and respond the risks caused by companies which collect personal information from other personal data users to operate their business. Recently, as the value of personal information is increasing, number of companies which intend to process a large scale of personal information is increasing too. Accordingly, the issue on the structure of personal data flow has become important for the leading personal information processors which receive far more personal information from others to comply the personal information protection laws. However, research on this issue has rarely performed so far. Therefore, this study proposes a framework for personal information data flow structure based on network theory. Theoretically, the results of the study may contribute to extending the application areas of the network theory to personal information area. Practically, the study may contribute to assisting regulatory authorities to find and monitor personal information processors.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.237-245
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• 2021

The puropose of this study is to propose an effective diction training techniqe that conductors can use in choral communication. In chorus, the phonology of the language used in the lyrics influences the diction. Therefore, Korean lyrics must be pronounced according to Korean phonology. In verbal language, accuracy of pronunciation is important, but when expressing lyrics in a song, both vocalization and diction are important. In particular, chorus is sung by many people, so if the diction is not accurate, the lyrics will not be delivered properly. In this study, the dictions of lyrics frequently used in actual Korean choral songs were systematically analyzed according to Korean phonological rules. As a result of the study, the main factor that makes choral diction difficult is the phenomenon of phonological fluctuations in Korean. In particular, phonological fluctuations often occurred when pronouncing the final sound and when consonants and consonants were combined. A follow-up study intends to contribute to the development of choral communication by presenting a systematic choral diction based on Korean phonology.

• The Journal of Korean Obstetrics and Gynecology
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• v.35 no.3
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• pp.122-136
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• 2022

Objectives: The aim of this study is to investigate Heart Rate Variability (HRV) characteristics of patients with primary dysmenorrhea at the menstrual phase. Methods: 7 databases (Pubmed, Cochrane library, CNKI, RISS, KISS, OASIS, ScienceON) were searched for eligible studies published before 2021 December. The studies comparing HRV between patients with primary dysmenorrhea and controls were included. A random-effects model was used to evaluate differences of HRV parameters between patients with primary dysmenorrhea and controls. Results: 4 articles were included in this review based on inclusion and exclusion criteria. SDNN (Standard deviation of NN intervals), RMSSD (Square root of the mean squared difference of successive NN intervals), mean PR (Mean of pulse rate), LF (Low frequency), HF (High frequency), was the most frequently used as HRV parameters. RMSSD was significantly lower in patients with primary dysmenorrhea than controls. There was no statistically significant difference of other HRV parameters between patients with primary dysmenorrhea and controls. Conclusions: This study suggests that parasympathetic activity and overall functions of autonomic nervous system might be decreased in patients with primary dysmenorrhea at the menstrual phase. In the future, well-designed clinical studies using HRV and additional meta-analysis should be conducted to obtain a wealth of information about HRV characteristics of patients with primary dysmenorrhea.

• The Journal of the Acoustical Society of Korea
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• v.20 no.4
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• pp.35-41
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• 2001

This paper describes Linear Discriminant Analysis and common vector extraction for speech recognition. Voice signal contains psychological and physiological properties of the speaker as well as dialect differences, acoustical environment effects, and phase differences. For these reasons, the same word spelled out by different speakers can be very different heard. This property of speech signal make it very difficult to extract common properties in the same speech class (word or phoneme). Linear algebra method like BT (Karhunen-Loeve Transformation) is generally used for common properties extraction In the speech signals, but common vector extraction which is suggested by M. Bilginer et at. is used in this paper. The method of M. Bilginer et al. extracts the optimized common vector from the speech signals used for training. And it has 100％ recognition accuracy in the trained data which is used for common vector extraction. In spite of these characteristics, the method has some drawback-we cannot use numbers of speech signal for training and the discriminant information among common vectors is not defined. This paper suggests advanced method which can reduce error rate by maximizing the discriminant information among common vectors. And novel method to normalize the size of common vector also added. The result shows improved performance of algorithm and better recognition accuracy of 2％ than conventional method.

• Phonetics and Speech Sciences
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• v.14 no.3
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• pp.87-101
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• 2022

In addition to administering a questionnaire (J-survey), which questions individuals on subjective vocal fatigue, voice samples were collected before and after speech-language pathology sessions from 50 female speech-language pathologists in their 20s and 30s in the Daejeon and Chungnam areas. We identified significant differences in Korean Vocal Fatigue Index scores between the fatigue and non-fatigue groups, with the most prominent differences in sections one and two. Regarding acoustic phonetic characteristics, both groups showed a pattern in which low-frequency band energy was relatively low, and high-frequency band energy was increased after the treatment sessions. This trend was well reflected in the low-to-high ratio of vowels, slope LTAS, energy in the third formant, and energy in the 4,000-8,000 Hz range. A difference between the groups was observed only in the vowel energy of the low-frequency band (0-4,000 Hz) before treatment, with the non-fatigue group having a higher value than the fatigue group. This characteristic could be interpreted as a result of voice abuse and higher muscle tonus caused by long-term voice work. The perturbation parameter and shimmer local was lowered in the non-fatigue group after treatment, and the noise-to-harmonics ratio (NHR) was lowered in both groups following treatment. The decrease in NHR and the fall of shimmer local could be attributed to vocal cord hypertension, but it could be concluded that the effective voice use of speech-language pathologists also contributed to this effect, especially in the non-fatigue group. In the case of the non-fatigue group, the rhamonics-to-noise ratio increased significantly after treatment, indicating that the harmonic structure was more stable after treatment.

• Journal of Korean Society of Environmental Engineers
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• v.36 no.7
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• pp.469-475
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• 2014

The study investigated the physicochemical characteristics and the ecological risk of the Northport sediment in B city and the releasing properties of heavy metals into seawater during the resuspension also studied. The major components of the sediment are fine silt and clay which contains high organic matter and AVS (Acid volatile sulfide) and the ecological risk of the heavy metals in sediment also very high. The release rate of heavy metals into seawater was in order of Pb>>Cu>Cr>>Zn>Cd during the resuspension in a batch experiment, and the heavy metal release mainly attributed to the oxidation of metal sulfides. Heavy metals which came from easily oxidisable metal sulfides rapidly contaminated seawater within about 1.0 h of the sediment resuspension. The sulfide oxidation during the resuspension increased the residual fraction of heavy metals in the sediment, decreased the organic bound fraction, and changed the other fractions of heavy metals in the sediment. The release of heavy metals from the sediment during resuspension was affected by the resuspension time, the oxidation rate of metal sulfides and resuspended concentration of the sediment particle.

• The Korean Journal of Food And Nutrition
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• v.19 no.4
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• pp.466-472
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• 2006

In order to develop materials of crab-like flavorant, taste compounds including physicochemical characteristics were analyzed in red snow crab cooker effluent(RSCCE) and hepatopancreas. The $30\;^{\circ}Brix$ was a suitable condition in from 1.5 to $40\;^{\circ}Brix$ RSCCE by sensory evaluation. Lactic acid and succinic acid were major compounds in non-volatile organic acids detected in both $30\;^{\circ}Brix$ RSCCE and hepatopanceras. The 5 compounds such as AMP, HxR, IMP, ATP and GMP were major in ATP related compounds of $30\;^{\circ}Brix$ RSCCE, whereas 3 compounds including IMP, GMP and Hx in hepatopanceras. The content of total free amino acids in hepatopancreas was 5.6 times higher than in $30\;^{\circ}Brix$ RSCCE. The major compounds in $30\;^{\circ}Brix$ RSCCE were followed by methionine, lysine, arginine, valine, histidine, alanine, hydroxy proline, and glycine in that order, whereas methyl histidine, leucine, alanine, glutamic acid, glycine, valine, threonine, taurine, isoleucine, and serine were followed in hepatopancreas. By adding 0.5%(w/w) hepatopancreas in $30\;^{\circ}Brix$ RSCCE, crab meat-like odor was kept high level by sensory evaluation.

• Water for future
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• v.19 no.2
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• pp.157-166
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• 1986

The objective of this study was to determine the best representative synthetic unit hydrograph that is applicable to ungaged small watershed. A typical unit hydrograph was established with the actual data from a small watershed. Four currently well-known methods for analyzing ungaged small watershed, including Snyder's, Clark's S.C.S. and Nash methods, were evaluated with the data from the same small watershed. The following observations were noted from the analysis of four methods. The Snyder's method yielded the similar peak discharge value as the typical unit hydrograph. With co-ordinates of three discharge values, i.e. 25%, 50% and 75% of peak discharge, were not adequate for deriving a typical unit hydrograph in ungaged small watershed. With Clark's method there shall be some way of obtaining the exact base length of time area diagram and isochrone of each reach of the stream. With Nash method peak discharge and base flow time are affected by the storage constant and gamma function argument; therefore, for deriving a more reliable and workable unit hydrograph one needs to select for the better estimation of storage constant and gamma function argument. In S.C.S. method peak discharge is directly related to the watershed area and inversely related to the time of peak diacharge. Therefore area with faster peak discharge yielded the higer peak discharge value. Although the peak discharge value obtained frome the S.C.S. method higher than the value obtained from the unit hydrograph developed from the actual data, this method contains a number of advantageous factors. The peak discharge value and the time of peak discharge can be claculated easity from the morphological characteristics of the watershed, and in S.C.S method co-ordinates of the unit hydrograph can be calculated easily from that of the dimensionless unit hydrograph. When the four currently used methods were evaluated with a typical unit hydrograph obtained from the actual data, the S.C.S method was show to be the best method in deriving a synthetic unit hydrograph for ungaged small watershed.