• 한국정밀공학회지
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• 제22권1호
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• pp.183-192
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• 2005

This study compared cerebral lateralization index based on the area of neural activation with that based on the intensity of neural activation. For this purpose, 8 right-handed male college students (the mean age - 23.5 years) and 10 right-handed male college students (the mean age - 25.1 years) participated respectively in researches on visuospatial and verbal task brain function. Functional brain images were taken from 3T MRI using the single-shot EPI method. The result of measuring cerebral lateralization index based on the area of neural activation suggested that the right hemisphere is dominant in visuospatial tasks and the left one is in verbal tasks. However, the dominance is not sufficient to locate the exact part of the brain for these tasks. When cerebral lateralization index was computed based on the intensity of neural activation, it was derived that the area of cerebral lateralization closely related to visuospatial tasks is the superior parietal lobe, and the area of cerebral lateralization closely related to verbal tasks is the inferior and middle frontal lobes. Thus, cerebral lateralization index by area based on the intensity of neural activation as proposed by this study can determine the dominance of the cerebrum by area, so is helpful for accurate and quantitative determination of cerebral lateralization.

• 대한교통학회지
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• 제14권2호
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• pp.89-118
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• 1996

The development and implementation of a real-time, traffic adaptive control scheme based on fuzzy logic through Video Image Detector systems (VIDs) is presented. Through VIDs based image processing, fuzzy logic can be used for a real-time traffic adaptive signal control scheme. Fuzzy control logic allows linguistic and inexact traffic data to be manipulated as a useful tool in designing signal timing plans. The fuzzy logic has the ability to comprehend linguistic instructions and to generate control strategy based on a priori verbal communication. The implementation of fuzzy logic controller for a traffic network is introduced. Comparisons are made between implementations of the fuzzy logic controller and the actuated controller in an isolated intersection. The results obtained from the application of the fuzzy logic controller are also compared with those corresponding to a pretimed controller for the coordinated intersections. Simulation results from the comparisons indicate the performance of the system is between under the fuzzy logic controller. Integration of the aforementioned schemes into and ATMS framework will lead to real-time adjustment of the traffic control signals, resulting in significant reduction in traffic congestion.

• 한국정보통신학회논문지
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• 제21권1호
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• pp.99-106
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• 2017

음향신호기는 횡단보도에 있는 보행신호등의 정보를 음향과 음성으로 알려주는 장치로써, 시각장애인에게 횡단보도의 이름, 음향신호기의 신호 상태 및 횡단보도의 보행 방향 정보를 제공한다. 시각장애인들은 음향신호기를 편리하게 동작시키기 위하여 358.5MHz 무선 리모컨으로 음향신호기를 동작시키고, 횡단보도를 건너가게 된다. 현재의 음향신호기는 무선 리모컨으로부터 동작 신호 수신만 가능하다. 따라서, 교차로 횡단보도와 같이 다수의 음향신호기가 설치된 교차로에서 기존의 음향신호기는 무선 리모컨의 통신 반경에 있는 음향신호기는 모두 동시에 작동하는 문제점이 있으며, 이는 시각장애인에게 혼란을 줄 수 있다. 본 논문에서는 블루투스를 이용하여 스마트폰으로 동작시킬 수 있는 양방향 통신 지원 BLE 기반 음향신호기를 제안한다. 제안하는 시스템은 상기의 문제점을 극복할 수 있으며, 신호 정보 등을 부가정보를 받을 수 있어, 횡단보도 횡단시 보다 편리하게 이용할 수 있는 장점이 있다.

• 감성과학
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• 제24권2호
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• pp.75-80
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• 2021

Do happy applicants achieve more? Although it is well established that happiness predicts desirable work-related outcomes, previous findings were primarily obtained in social settings. In this study, we extended the scope of the "happiness premium" effect to the artificial intelligence (AI) context. Specifically, we examined whether an applicant's happiness signal captured using an AI system effectively predicts his/her objective performance. Data from 3,609 job applicants showed that verbally expressed happiness (frequency of positive words) during an AI interview predicts cognitive task scores, and this tendency was more pronounced among women than men. However, facially expressed happiness (frequency of smiling) recorded using AI could not predict the performance. Thus, when AI is involved in a hiring process, verbal rather than the facial cues of happiness provide a more valid marker for applicants' hiring chances.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권1호
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• pp.27-32
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• 2006

Verbal communication is the most commonly used mean of communication. A spoken word carries a lot of informations about speakers and their emotional states. In this paper we designed a model to recognize emotional states in a speech, a first phase of two phases in developing a toy machine that recognizes emotional states in a speech. We conducted an experiment to extract and analyse the emotional state of a speaker in relation with speech. To analyse the signal output we referred to three characteristics of sound as vector inputs and they are the followings: frequency, intensity, and period of tones. Also we made use of eight basic emotional parameters: surprise, anger, sadness, expectancy, acceptance, joy, hate, and fear which were portrayed by five selected students. In order to facilitate the differentiation of each spectrum features, we used the wavelet transform analysis. We applied ANFIS (Adaptive Neuro Fuzzy Inference System) in designing an emotion recognition model from a speech. In our findings, inference error was about 10%. The result of our experiment reveals that about 85% of the model applied is effective and reliable.

• 아동학회지
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• 제38권1호
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• pp.205-215
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• 2017

Objective: The current study examined whether providing both an actor's eye gaze and emotional expressions can help 10-month-olds interpret a change in the actor's words as a signal to a change in the actor's goal object. Methods: Sixteen 10-month-olds participated in an experiment using the violation-of-expectation paradigm and were compared to 16 10-month-olds in a control condition. The infants in the experimental condition were familiarized to an event in which an actor looks at one of two novel objects, excitingly utters a sentence, "Wow, here's a modi!", and grasps the object. The procedure in the control condition was identical to that of the experimental condition except that the infants heard the sentence without any emotional excitement and the eye gaze of the agent was hidden by a visor. In the following test trial, the infants in both conditions heard the agent changing her word (from modi to papu) and watched her grasping either the same object as before (old-goal event) or the new object (new-goal event). Results: The infants in the experimental condition looked at the old-goal event longer than at the new-goal event, suggesting that they expected the agent to change her goal object when the actor changed her word. However, the infants in the control condition looked at the two events about equally. Conclusion: When both eye gaze and emotional cues were provided, 10-month-olds were able to exploit the agent's verbal information when reasoning about whether the agent would pursue the same goal object as before.

• 한국융합학회논문지
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• 제8권11호
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• pp.1-6
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• 2017

본 논문은 IT 기기의 활용을 통해 외국어 학습 편의성을 제공하여 외국어학습에 대한 학습력 증진의 실효성을 높여주는 시스템 개발에 중점을 두고 있다. 다양한 환경에서 의사소통의 기준으로 큰 역할을 하고 있는 영어를 학습할 때 기본적인 어법 외에도 발음과 억양의 중요성이 의사소통에 큰 역할을 한다. 발음 및 억양은 사용하는 모국어의 특성에 따라서 다르게 나타나고 이러한 차이로 인해 의사소통에 문제가 발생하는 경우가 다수 존재한다. 제안 시스템은 학습자의 모국어 발음 및 억양에 대한 정보를 바탕으로 영어 의사소통 과정에서 수용가능한 발음과 억양을 구분하여 시스템의 개입이 필요하다고 판단되는 경우 수정 및 보완을 요청하여 학습이 이루어지도록 도움을 주는데 목적이 있다. 제안 시스템은 학습자들의 음성신호를 수집하여 수용가능한 임계점을 설정하여 시스템의 개입을 최소화한다. 그 결과 불필요한 시스템 개입으로 인한 발화의 중단이 최소화되어 효율성이 증가할 수 있을 것이다.

• 대한후두음성언어의학회지
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• 제15권1호
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• pp.37-42
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• 2004

Electrolarynx(EL), battery operated vibrators which are held against the neck by on-off button, has been widely used as a verbal communication method among post-laryngectomized patients. EL speech can produce easily without need of any additional surgery or special training and be used with any other methods. This institute developed a neck-typed EL named "Blueton" in commperation with EL Company Linkus, which consists of 3 parts : Vibrator part, Control part, Battery part. In this study we evaluated the acoustic characteristics of the produced voices by Blueton compared with Servox-inton using MDVP. Three EL users (2 full time users, 1 part time user) were participated. The results revelaed that NHR higher in Servox than Blueton and intensity is higher in Blueton than Servox. The spectra for vowels produced by EL speakers are mixed signals combined with talkers' vocal output and electrolarynx noise. The spectra pattern is similar with two ELs. High, SPI index and vowel spectra from MDVP demonstrated characteristics of both electrolarynxes related to noise signal. This finding suggests that Blueton helps to provide one of useful rehabilitation options in the post laryngectomy patients.

• 영재교육연구
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• 제15권2호
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• pp.101-125
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• 2005

본 연구에서는 뇌영상기술(fMRI)을 이용하여 뇌신경활동성에 기반한 영재성 평가의 가능성을 타진하였다. 이를 위해 현행 영재교육 수혜자 및 일반 고교생 50명을 대상으로 국제적으로 공인된 다양한 지능검사(RAPM, WAIS)와 창의력 검사(TTCT-도형, TTCT-언어)를 실시하였으며 이들 중 40명의 학생을 대상으로 추론적 사고능력을 요구하는 지능과제 수행 시 두뇌활동성을 측정하였다. 일반지능(g) 수준에 따라 영재군과 일반군으로 구분하여 두뇌활동성을 비교 분석한 결과 두 그룹 모두 좌.우반구의 외측전전두엽피질(lateral PFC), 전대상피질(ACC), 후두정엽피질(PPC)에서 높은 활동성을 보였으며, 영재군이 일반군에 비해 높게 나타났다. 개인별 일반지능(g) 수준과 두뇌활동성 사이의 상관도를 분석한 결과 후두정엽피질에서 가장 높은 상관도$(r=0.73{\sim}0.74)$를 보였으며 다른 영역들 역시 비교적 높은 상관도$(r=0.53{\sim}0.66)$를 보였다. 한편 영재군은 일반군에 비해 지능지수에서는 월등히 높은 수치를 보였으나 창의력지수에서는 크게 차이를 보이지 않았다. 이러한 결과는 뇌기능영상기술이 영재성 평가에 적용될 수 있을 것이라는 가능성을 보여주며 영재선발 시 창의력에 대한 평가 비중을 강화시킬 필요성이 있음을 시사한다.