• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.363-372
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• 2021

Aim of this study was to confirm the effect of teaching and learning methods on outcomes of learner according to learning style. For this, 22 of dental hygiene students(case group) was treated teaching & learning methods according to learning style while 24 of students(control group) was non treated. Pre-survey were performed before performance of program. Formative Evaluation(FE) was conducted in 2, 3 and 4 week of program respectively and summative evaluation(SE), survey of subject interest(SI) and learning motivation(LM) were conducted in 5 week. The result of study, FE, SI and LM after treatment were increased than before treatment in case group(p<0.05). SI and LM of case group were higher than control group(p<0.05). FE after treatment was increased than before treatment in he assimilator(p<0.05). SI and LM of case groups were higher than control group in assimilator and diverger(p<0.05). The result of correlation analysis, SI was related with SE, FE, LM(p<0.01, p<0.05). Thus, it is necessary to development, application and study of teaching & learning consider to learning style.

• Phonetics and Speech Sciences
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• v.12 no.4
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• pp.81-90
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• 2020

This paper describes a method of building Korean conversational speech data in the emergency medical domain and proposes an annotation method for the collected data in order to improve speech recognition performance. To suggest future research directions, baseline speech recognition experiments were conducted by using partial data that were collected and annotated. All voices were recorded at 16-bit resolution at 16 kHz sampling rate. A total of 166 conversations were collected, amounting to 8 hours and 35 minutes. Various information was manually transcribed such as orthography, pronunciation, dialect, noise, and medical information using Praat. Baseline speech recognition experiments were used to depict problems related to speech recognition in the emergency medical domain. The Korean conversational speech data presented in this paper are first-stage data in the emergency medical domain and are expected to be used as training data for developing conversational systems for emergency medical applications.

• Journal of Life Science
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• v.32 no.7
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• pp.550-566
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• 2022

Stroke is among the leading causes of death and long-term physical and cognitive disabilities worldwide, affecting an estimated 15 million people annually. The pathophysiological process of stroke is complicated by multiple and coordinated events. The breakdown of the blood-brain barrier (BBB) in people with stroke can significantly contribute to the development of ischemic brain injury. Therefore, BBB disruption is recognized as a hallmark of stroke; thus, it is important to develop novel therapeutic strategies that can protect against BBB dysfunction in ischemic stroke. Traditional medicines are composed of natural products, which represent a promising source of new ingredients for the development of conventional medicines. Indeed, several studies have shown the effectiveness of Korean medicine on stroke, highlighting the value of Korean medicinal treatment for ischemic stroke. This review summarizes the current information and underlying mechanisms regarding the ameliorating effects of the formula, decoction, herbs, and active components of traditional Korean medicine on cerebral ischemia-induced BBB disruption. These traditional medicines were shown to have protective effects on the BBB in many cellular and animal ischemia models of stroke, and experiments in various animal species, such as mice and rats. In addition, they showed brain-protective effects by protecting the BBB through the regulation of tight junction proteins and matrix metalloproteinase-9, reducing edema, neuroinflammation, and neuronal cell death. We hope that this review will help promote further investigation into the neuroprotective effects of traditional Korean medicines and stimulate the performance of clinical trials on Korean herbal medicine-derived drugs in patients with stroke.

• Journal of Naturopathy
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• v.9 no.2
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• pp.46-56
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• 2020

Purpose: This study proposes a concert oriented music therapy (COMT) program which takes into account the personal and social factors of depression, and its clinical effects were validated on elderly persons with visual impairments who were susceptible to depression. The experiment was conducted on 34 elderly persons with visual impairments, randomly allocated to either the experimental group (n = 15) or the control group (n = 19). The COMT program was applied 20 times in total to the experimental group for 110 minutes every other week, for a duration of 10 months. The depression level was evaluated using the Korean form of the Geriatric Depression Scale (KGDS). The experimental results showed that the average KGDS score in the experimental group decreased by 4.1 points (19.4%), from 21.0 to 16.9, whereas it increased by 1.16 points (5.8%), from 19.95 to 21.11, in the control group. The reduction in the depression level was significant for the following 4 depression factors : decreased social interest (40%), negative thinking and the unhappiness feeling (20%), emotional discomfort (16.3%), and cognitive dysfunction (7.6%), whereas it was negligible in the factors of physical weakening and decreased vitality. The COMT program reduced the KGDS scores of the experimental group regardless of their experience in musical performance. In conclusion, the proposed COMT program proved to be efficacious in alleviating depression in elderly persons with visual impairments. In particular, it proved highly effective in helping with decreased social interest, namely, the social factor of depression which is not properly considered in existing music therapy methods.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.8
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• pp.331-338
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• 2022

Successor representation (SR) is a model of human reinforcement learning (RL) mimicking the underlying mechanism of hippocampal cells constructing cognitive maps. SR utilizes these learned features to adaptively respond to the frequent reward changes. In this paper, we evaluated the performance of SR under the context where changes in latent variables of environments trigger the reward structure changes. For a benchmark test, we adopted SR-Dyna, an integration of SR into goal-driven Dyna RL algorithm in the 2-stage Markov Decision Task (MDT) in which we can intentionally manipulate the latent variables - state transition uncertainty and goal-condition. To precisely investigate the characteristics of SR, we conducted the experiments while controlling each latent variable that affects the changes in reward structure. Evaluation results showed that SR-Dyna could learn to respond to the reward changes in relation to the changes in latent variables, but could not learn rapidly in that situation. This brings about the necessity to build more robust RL models that can rapidly learn to respond to the frequent changes in the environment in which latent variables and reward structure change at the same time.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.87-96
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• 2022

The traffic vulnerable, including elderly pedestrians, have a relatively low walking speed and slow cognitive response time due to reduced physical ability. Although a smart crossing system has been developed and operated to improve problem, it is difficult to operate a signal that reflects the appropriate walking speed for each pedestrian. In this study, a neural network model and a multiple regression model-based traversing speed estimation model were developed using image information collected in an area with a high percentage of traffic vulnerability. to support the provision of optimal walking signals according to real-time traffic weakness. actual traffic data collected from the urban traffic network of Paju-si, Gyeonggi-do were used. The performance of the model was evaluated through seven selected indicators, including correlation coefficient and mean absolute error. The multiple linear regression model had a correlation coefficient of 0.652 and 0.182; the neural network model had a correlation coefficient of 0.823 and 0.105. The neural network model showed higher predictive power.

• The Mathematical Education
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• v.62 no.2
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• pp.211-236
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• 2023

The purpose of this study is to derive implications of preservice mathematics teacher education in Korea by analyzing the case of edTPA used in the preservice teacher training process in the United States. Recently, there has been a growing interest in promoting professional competencies considering not only the cognitive dimension related to knowledge development of preservice mathematics teachers but also the situational dimension considering reality in the classroom. The edTPA in the United States is a performance-based assessment based on lessons conducted by preservice teachers at school. This study analyzes the professional competencies required of preservice mathematics teachers by analyzing handbooks that described the case of edTPA in which preservice mathematics teachers in the United States participate. The edTPA includes planning, instruction, and assessment tasks, and continuous tasks are performed in connection with classes. Thus, the analysis is conducted on the points of linkage between the description of evaluation items and criteria in the planning, instruction, and assessment tasks, as well as the professional competencies required from that linkage. As a result of analyzing the edTPA handbooks, the professional competencies required of preservice mathematics teachers in the edTPA assessment were the competency to focus on and implement specific mathematics lessons, the competency to reflectively understand the implementation and assessment of specific mathematics lessons, and the competency to make a progressive determination of students' achievement related to their learning and their uses of language and representations. The results of this analysis can be used as constructs for competencies that can be assessed in the preservice in the organization of the preservice mathematics teacher curriculum and practice training semester system in Korea.

• Journal of Korea Entertainment Industry Association
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• v.13 no.2
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• pp.93-100
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• 2019

Dynamic Compressors in vocal recordings of modern pop music are essential equipment. Dynamic compressors are applied not only to the mix for listening to music but also to the monitor for the singer to listen to his voice along with the accompaniment while the singer is recording. This study is an experimental study on the effects of a dynamic compressor applied to a monitor environment on the vocal performance of a singer. 10 participating singers participated in the blind test to test how the vocals heard through the monitor would be affected by the 1:1, 2:1 and 4:1 compression ratio. Experimental results show that the higher the compression ratio applied to the monitor, the bigger the song, the brighter the tone, but the pitch becomes finer inaccuracy on the bigger dynamic part of the song. In post-interviews with blinds, it was found that singers generally preferred to hear compressed sound through a compressor on the monitor. Since the music used in the experiment was a ballad with a wide dynamic range, it could not be generalized to all kind of music recordings, but it could provide important implications for the monitoring of recording sites. In addition, We hope that the cognitive science approach to recording technology will be added based on this paper which has been studied through empirical studies on the effect of the monitor environment on the singing voice.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.6
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• pp.493-503
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• 2018

The present study is a conceptual replication of O'Grady, Lee, and Choo's (2003) earlier study designed to investigate two hypotheses (linear distance hypothesis vs. structural distance hypothesis) in relation to L2 Korean learners' processing of Korean subject and object relative clauses (RCs) in a scholarly attempt to explicate Keenan and Comrie's (1977) Noun Phrase Accessibility Hierarchy (NPAH). In addition, the current study is intended to explore any potential role of working memory capacity (WMC) in the processing of Korean subject and/or object RCs. Chinese-speaking learners of Korean taking a language course offered at a local university in Korea participated in this experimental study. Among those recruited, only 23 learners completed the experimental tasks appropriately according to the specific instructions provided on each task, and thus, subsequent statistical analyses were conducted on their data. Fifteen Korean NSs were also recruited for the control group. Two experimental tasks were administerd to the participants: one picture selection task containing the same test items used in O'Grady et al.'s study to measure their processing of subject-object RCs and an operation span (OSPAN) task to measure their WMC. Somewhat differently from O'Grady et al.'s findings, the participating Chinese learners of Korean performed significantly better on object RCs than on subject RCs, seemingly lending support to the linear distance hypothesis. Further analyses, however, suggested that the results in favor of, or relative ease of processing, object relative clauses were due, most likely, to the learners' excessive use of the canonical sentence strategy, which also led to nonsignificant correlations between WMC and learner performance on the picture selection task.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.1
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• pp.240-257
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• 2022

Autonomous vehicles use various local sensors such as camera, radar, and lidar to perceive the surrounding environment. However, it is difficult to predict the movement of vulnerable road users using only local sensors that are subject to limits in cognitive range. This is true especially when these users are blocked from view by obstacles. Hence, this paper developed an algorithm for collision avoidance with VRU using V2X information. The main purpose of this collision avoidance system is to overcome the limitations of the local sensors. The algorithm first evaluates the risk of collision, based on the current driving condition and the V2X information of the VRU. Subsequently, the algorithm takes one of four evasive actions; steering, braking, steering after braking, and braking after steering. A simulation was performed under various conditions. The results of the simulation confirmed that the algorithm could significantly improve the performance of the collision avoidance system while securing vehicle stability during evasive maneuvers.