• Journal of Music and Human Behavior
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• v.12 no.2
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• pp.1-18
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• 2015

The purpose of this study was to compare the vocal characteristics of 40 adults with and without cerebral palsy (CP), upon presentation of three speech tasks (i.e., reading, chanting, and singing). The Praat program was utilized to generate data on fundamental frequency, voice intensity, jitter, and shimmer. The results of the analysis revealed no significant differences on fundamental frequency and intensity. However, both groups showed significant decreases in jitter and shimmer when engaged in singing tasks. The analysis of group differences indicated that adults with CP showed significantly higher variation scores on jitter and shimmer than the group without CP, and the difference on jitter and shimmer became greater during rhythmic chanting. In terms of jitter variation, the interaction effects according to the groups and types of speech tasks were greater, demonstrating the differences between the two groups. This study can be utilized as a basic research, regarding changes in vocal characteristics of adults with CP according to different musical speech tasks.

• Journal of Educational Research in Mathematics
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• v.11 no.1
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• pp.207-221
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• 2001

The purpose of this study is to develop the assessment rubric of mathematical communication ability by each type: listening, speaking, reading, writing, and graphic. This rubric is qualified in the content-validity and reliability by professional educators' evaluation and correlation coefficient. 16 math educators judged that this involves the results of learning mathematical communication, the results of possible instruction, and the content of scoring mathematical communication by teachers. 170 middle school students were tested by the assessment task according to the types of mathematical communication. After two researchers and two teachers scored the tasks, correlation coefficient was calculated between evaluators. The coefficient is evaluated high in that it is more than 0.70.

• Speech Sciences
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• v.12 no.2
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• pp.109-120
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• 2005

The purpose of this study was to examine the awareness level of the prolonged sound rules in elementary school students. The participants in this study were 148 elementary school students in grades 1 through 6. Their awareness level of the prolonged sound rules was evaluated on reading tasks composed of 40 words and sentences. An one-way ANOVA followed by Scheffe hoc tests showed the showed the statistically significant difference between the groups for the awareness level of prolonged sound rules. The younger the children, the larger differences in the awareness of prolonged sound rules. The awareness might affect their cognitive development and a systematic instruction may be helpful especially in lower graders. In conclusion, the findings of this study showed significant differences in the awareness level of the prolonged sound rules at both words and sentences level. It was also found that as the age of children increases, the awareness level of the prolonged sound rules tends to increase which appeared to be completed by the 3rd grade.

• Speech Sciences
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• v.13 no.3
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• pp.185-195
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• 2006

This study aims to clarify disfluency loci in a neurogenic stuttering group and to examine how the characteristics are different from a developmental stuttering group. For the study, spoken language samples were collected from 11 adults with developmental stuttering and 11 adults with neurogenic stuttering in the course of speaking tasks including reading, monologue and conversation. Using the collected samples, disfluency characteristics of the two groups were to be investigated by analyzing adaptation effect, consistency effect and frequency of disfluency occurrence according to word position, which are related to the occurrence loci of disfluency. Results of this study were as follows: First, while the neurogenic stuttering group did not show any adaptation effect, the developmental stuttering group showed the adaptation effect that the percent of disfluency word reducing as they read the same materials repeatedly. Second, there was no meaningful difference of consistency effect between the two stuttering groups. Third, the neurogenic stuttering group showed more disfluency frequency in final sounds among the word position compared to the developmental stuttering group.

• Speech Sciences
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• v.1
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• pp.227-236
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• 1997

How do aphasics deal with the inflectional marking occurring in agglutinative languages like Korean? Korean speech repetition, comprehension and production were studied in 3 Broca's aphasic speakers of Korean. As experimental materials, 100 easy sentences were chosen in 1st grade Korean elementary school textbooks about reading writing and listening, and two pictures were made from each sentence. This study examines the use of three kinds of inflectional markings--past tense, nominative case, and accusative case. The analysis focuses on whether each inflectional marking was performed well or not in tasks such as repetition, comprehension and production. In addition, morphological errors concerned with each inflectional marking were analyzed in view of markedness. In general, the aphasic subjects showed a clear preservation of the morphological aspects of their native language. So the view of Broca's aphasics as agrammatical could not be strongly supported. It can be suggested that nominative case and accusative case are marked elements in Korean.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2013.05a
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• pp.160-161
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• 2013

Progress measurement is one of key tasks for cost and schedule management in construction management. However, there has been shortage of effort to implement for automated progress measurement. This paper proposes to use a face recognition (FR) technology for automated progress measurement and management in construction sites. The FR technology can acquire detailed progress data that includes the in and out information of labors by location. The expected effectiveness of the proposed system is to provide accurate labor information for progress measurement by utilizing automated data acquisition technology (DAT) with high-speed reading face. In addition, it could be applied to real-time safety and quality management by using the camera images.

• Journal of Information Processing Systems
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• v.10 no.1
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• pp.55-68
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• 2014

Automatic segmentation of foreground text from the background in degraded document images is very much essential for the smooth reading of the document content and recognition tasks by machine. In this paper, we present a novel approach to the binarization of degraded document images. The proposed method uses a new local contrast feature extracted based on the stroke width of text. First, a pre-processing method is carried out for noise removal. Text boundary detection is then performed on the image constructed from the contrast feature. Then local estimation follows to extract text from the background. Finally, a refinement procedure is applied to the binarized image as a post-processing step to improve the quality of the final results. Experiments and comparisons of extracting text from degraded handwriting and machine-printed document image against some well-known binarization algorithms demonstrate the effectiveness of the proposed method.

• Journal of Sensor Science and Technology
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• v.30 no.1
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• pp.15-19
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• 2021

Image processing is one of the major techniques that are used for computer vision. Nowadays, researchers are using machine learning and deep learning for the aforementioned task. In recent years, digit recognition tasks, i.e., automatic meter recognition approach using electric or water meters, have been studied several times. However, two major issues arise when we talk about previous studies: first, the use of the deep learning technique, which includes a large number of parameters that increase the computational cost and consume more power; and second, recent studies are limited to the detection of digits and not storing or providing detected digits to a database or mobile applications. This paper proposes a system that can detect the digital number of meter readings using a lightweight deep neural network (DNN) for low power consumption and send those digits to an Android mobile application in real-time to store them and make life easy. The proposed lightweight DNN is computationally inexpensive and exhibits accuracy similar to those of conventional DNNs.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.33 no.3
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• pp.183-187
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• 2022

Dysphonia is well known as one of the otolaryngological symptoms of coronavirus disease 2019 (COVID-19) infection. The vocal changes of the COVID-19 condition have been reported in terms of parameters of multi-dimensional voice assessment, including acoustic analysis, auditory-perceptual evaluation, and psychometric assessment. However, there has not been a daily followup study in patients with acute COVID-19 infection. In this study, a 41-year-old male performed daily voice recordings of vowel phonation and passage-reading tasks during the self-quarantine period of one week. Compared to the normal voice status of the prepandemic period, voice abnormalities peaked on day two after the diagnosis of COVID-19 infection and recovered after one week.

• Journal of Environmental Health Sciences
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• v.36 no.5
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• pp.343-350
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• 2010

This study was performed to investigate laboratory workers' exposures to airborne nanoparticles at a university laboratory where acid treatment experiments were conducted on the surfaces of engineered carbon nanotubes (CNTs). The surface area concentrations, number concentrations, and mass concentrations of airborne nanoparticles were measured at personal breathing zones (PBZs) for various tasks using direct reading instruments. For all three metrics, airborne nanoparticle concentrations during the experiments were higher than background levels measured before and after the experiments for all three metrics. Among the various tasks that were performed as part of these experiments, one task that involved filtering a mixture of acid and CNTs showed the highest concentrations in all three metrics, with concentrations of $116.6\;{\mu}m^2$/cc, 24320 pt/cc, and $9.0\;{\mu}g/m^3$, respectively. Nanoparticle surface area concentrations measured at a representative area fluctuated with those at the PBZs in the laboratory. This result indicates that nanoparticles generated during the experiments were not just limited to the PBZs of the workers but were also present throughout the room, potentially exposing co-located workers. CNTs were detected by a transmission electron microscope in an air sample collected while handling the CNTs. All the tasks were performed inside fume hoods, with the sliding sashes open to their required heights. It was noted that the capture velocities of the fume hoods were much lower than the American National Standards Institute (ANSI)'s recommendation level (0.4 to 0.6 m/s). In conclusion, this study showed that, due to inadequate control, laboratory researchers performing acid treatment experiments on surfaces of CNTs were exposed to airborne nanoparticles generated during the tasks.