• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.26 no.3
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• pp.183-189
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• 2015

Objectives : The aim of this study was to investigate Korean Wechsler Intelligence profiles and specific abilities related to attention problem of children with attention-deficit hyperactivity disorder (ADHD). Methods : The Korean Wechsler Intelligence Scale for Children-fourth edition (K-WISC-IV) and Advanced Test of Attention (ATA) were administered to 91 children and adolescents (age $8.5{\pm}2.6$ years, 73 boys) with ADHD. Pearson correlation and independent t-tests were used. Results : The means of Working Memory Index (WMI) and Processing Speed Index (PSI) showed a score of low average in K-WISC-IV. WMI scores for the K-WISC-IV showed clinically significant correlations with omission errors, commission errors, and response time variability on auditory ATA. PSI scores also showed significant correlations with response time and variability on visual ATA. In addition, significantly lower digit span backward scores were observed in hyperactive-impulsive/combined subtypes compared to inattentive subtype (t=3.60, p<.001). Conclusion : Children with ADHD showed significantly lower scores in WMI and PSI which were clinically correlated with ATA scores, and hyperactive-impulsive/combined subtypes showed poorer working memory functions in WMI. Follow-up studies are proposed.

• The Journal of Korean Association of Computer Education
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• v.23 no.2
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• pp.1-11
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• 2020

As software and artificial intelligence education became more and more important, in December 2019, the Ministry of Science and ICT announced plans to expand software and AI education to mandatory education in elementary and secondary schools by 2022. In addition to elementary and secondary schools, most universities are actively engaged in software education for computer non-majors, but research on coding education for computer non-majors is insufficient. The purpose of this paper is to find an efficient teaching and learning method for coding education for computer non-majors. Nowadays, college students, called Millennial and Generation Z, prefer visual information and are familiar with computers as digital natives. Based on these characteristics, this study examined the visual literacy and thinking styles of college students and then examined whether the students' visual literacy and thinking styles influenced coding-based problem solving in coding subjects. Based on this, this paper proposes an alternative to do programming education more efficiently for students who are new to coding.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.572-580
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• 2020

Recently released AI speakers show a pattern of interacting with the user by mainly with voice and simultaneously displaying simple and formal visual feedback through status LED light. This is due to the limitations of the product characteristics of the speaker, which makes it difficult to interact variously, and even such visual feedback is not standardized for each product, and thus does not give a consistent user experience. By maximizing the visual elements that can be expressed through color and abstract movement to assist voice feedback, the product can provide the user with an extended experience that includes not only functional satisfaction but also emotional satisfaction. In this study, after analyzing the interaction methods of the existing AI speakers, we examined the theory of color communication in order to expand the visual feedback effect, and examined the meaning and expression technique of Color Field Painting, an art genre that maximizes the emotional experience by using only color. Through this, the AI speaker's visual communication function was expanded by designing a way to feedback communication status using LED light.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.4 no.1
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• pp.35-43
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• 2000

This paper was studied on developmental direction of telecommunications for disabilities welfare. Method of this study is delphi method. Persons with disabilities is classed as motor disability, visual handicap, hearing impairment, and language and speech disorders. Persons with motor disability is needs as follow, speed recognition technology, video recognition technology, breath capacity recognition technology. Persons with visual handicap is needs as follow, display recognition technology, speed recognition technology, text recognition technology, intelligence conversion handling technology, video recognition - speed synthetic technology. Persons with hearing impairment and language - speech disorders is needs as follow, speed signal handling technology, speed recognition technology, intelligence conversion handling technology, video recognition technology, speed synthetic technology the results of this study is as follow: first, disabilities telecommunications organization must be constructed. Second, persons with disabilities in need of universal service. Third, Persons with disabilities in need of information education, Fourth, studying for telecommunications in need of support. Fifth, small telecommunications company in need of support. Sixth, software industry in need of new development. Seventh, Persons with disabilities in need of standard guideline for telecommunications.

• Tuberculosis and Respiratory Diseases
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• v.84 no.2
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• pp.115-124
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• 2021

Background: This study aimed to determine the parameters for worsening oxygenation in non-severe coronavirus disease 2019 (COVID-19) pneumonia. Methods: This retrospective cohort study included cases of confirmed COVID-19 pneumonia in a public hospital in South Korea. The worsening oxygenation group was defined as that with SpO₂ ≤94% or received oxygen or mechanical ventilation (MV) throughout the clinical course versus the non-worsening oxygenation group that did not experience any respiratory event. Parameters were compared, and the extent of viral pneumonia from an initial chest computed tomography (CT) was calculated using artificial intelligence (AI) and measured visually by a radiologist. Results: We included 136 patients, with 32 (23.5%) patients in the worsening oxygenation group; of whom, two needed MV and one died. Initial vital signs and duration of symptoms showed no difference between the two groups; however, univariate logistic regression analysis revealed that a variety of parameters on admission were associated with an increased risk of a desaturation event. A subset of patients was studied to eliminate potential bias, that ferritin ≥280 ㎍/L (p=0.029), lactate dehydrogenase ≥240 U/L (p=0.029), pneumonia volume (p=0.021), and extent (p=0.030) by AI, and visual severity scores (p=0.042) were the predictive parameters for worsening oxygenation in a sex-, age-, and comorbid illness-matched case-control study using propensity score (n=52). Conclusion: Our study suggests that initial CT evaluated by AI or visual severity scoring as well as serum markers of inflammation on admission are significantly associated with worsening oxygenation in this COVID-19 pneumonia cohort.

• Journal of the Korea Computer Graphics Society
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• v.28 no.2
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• pp.11-19
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• 2022

Recently, various researches on medical image generation have been suggested, and it becomes crucial to accurately evaluate the quality and diversity of the generated medical images. For this purpose, the expert's visual turing test, feature distribution visualization, and quantitative evaluation through IS and FID are evaluated. However, there are few methods for quantitatively evaluating medical images in terms of fidelity and diversity. In this paper, images are generated by learning a chest CT dataset of non-small cell lung cancer patients through DCGAN and PGGAN generative models, and the performance of the two generative models are evaluated in terms of fidelity and diversity. The performance is quantitatively evaluated through IS and FID, which are one-dimensional score-based evaluation methods, and Precision and Recall, Improved Precision and Recall, which are two-dimensional score-based evaluation methods, and the characteristics and limitations of each evaluation method are also analyzed in medical imaging.

• Journal of Gifted/Talented Education
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• v.23 no.5
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• pp.637-648
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• 2013

The relationship between the cerebral cortex and human intelligence has been studied using various methods, and related brain areas involved in intellectual manifestation have been discovered individually. Such studies have also shown the cerebellum is closely involved in various cognitive functions such as language, memory, and information processing. However, studies showing an activity difference between the cerebral cortex and cerebellum when performing specific tasks are hard to find. This study searched and analyzed the active regions of the cerebral cortex and cerebellum seen while performing the inference of geometrical figures. A WAIS intelligence test was conducted using 81 healthy boys (16.3 years of age on average), and five categories were classified. While performing the inference of shapes, their brain images were taken using functional magnetic resonance imaging (fMRI). As a result, the activity in 12 brain regions was observed, including in the cerebral cortex, the bilateral inferior parietal, the visual cortex, bilateral superior parietal, frontal-Inf-Tri-R, and bilateral caudate, while activities in 5 discrete areas were seen in the cerebellum. In particular, the higher the intelligence (IQ) of the subject, the stronger their activity. Among those with the most superior intelligence, subjects with an IQ of 140-147 showed significantly higher activity compared to the other groups. Such results seem to represent a very high utilization of intelligence in a highly gifted group, and we can expect to use this to determine the super gifted.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.517-524
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• 2024

Generative AI, exemplified by models like ChatGPT, has revolutionized human-machine interactions in the 21st century. As these advancements permeate various sectors, their intersection with the arts is both promising and challenging. Despite the arts' historical resistance to AI replacement, recent developments have sparked active research in AI's role in artistry. This study delves into the potential of AI in visual arts education, highlighting the necessity of swift adaptation amidst the Fourth Industrial Revolution. This research, conducted at a 4-year global higher education institution located in Gyeongbuk, involved 70 participants who took part in a creative convergence module course project. The study aimed to examine the influence of AI collaboration in visual arts, analyzing distinctions across majors, grades, and genders. The results indicate that creative activities with AI positively influence students' creativity and digital media literacy. Based on these findings, there is a need to further develop effective educational strategies and directions that incorporate AI.

• Journal of information and communication convergence engineering
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• v.12 no.4
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• pp.208-214
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• 2014

In this paper, in order to solve the problems of a narrow viewing angle and the flip effect in a three-dimensional (3D) integral imaging display, we propose an improved system by using an eye tracking method based on the Kinect sensor. In the proposed method, we introduce two types of calibration processes. First process is to perform the calibration between two cameras within Kinect sensor to collect specific 3D information. Second process is to use a space calibration for the coordinate conversion between the Kinect sensor and the coordinate system of the display panel. Our calibration processes can provide the improved performance of estimation for 3D position of the observer's eyes and generate elemental images in real-time speed based on the estimated position. To show the usefulness of the proposed method, we implement an integral imaging display system using the eye tracking process based on our calibration processes and carry out the preliminary experiments by measuring the viewing angle and flipping effect for the reconstructed 3D images. The experimental results reveal that the proposed method extended the viewing angles and removed the flipping images compared with the conventional system.

• Korean Journal of Artificial Intelligence
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• v.5 no.2
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• pp.1-14
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• 2017

This research proposes a method to provide visually impaired persons with better medical services and to mitigate their difficulties in taking medicines in their daily lives. Normally, pharmaceutical information are distributed in a form of printed materials, but it is not accessible by those who are visually impaired. Since persons who are visually impaired by accidents or diseases are required to take more types of medicines compared to other handicapped persons, and thus it is an important matter to let them have appropriate medicines at the right time. Although there are several web sites which are run by the Ministry of Health and Welfare providing pharmaceutic information, the information on those web sites are duplicated and some of the menus are similar, and thus giving users difficulties and discomfort in finding appropriate pharmaceutical information. Since ontology can define and describe the resource in an information system more clearly, in this research, an ontology consists of pharmaceutical information and knowledge on medicines is constructed to give patients more precise information more efficiently. Also, a service in which users can have voice guidance on pharmaceutical information retrieve from the ontology-based information system by contacting RFID sticker on the medicine to the reader.