• Journal of Broadcast Engineering
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• v.23 no.5
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• pp.669-681
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• 2018

CNN (Convolution Neural Network) is one of the most important techniques to identify the kind of objects in the captured pictures. Whereas the conventional models have been used for low resolution images, the technique to recognize the high resolution images becomes crucial in the field of artificial intelligence. In this paper, we proposed an efficient CNN model based on dilated convolution and thresholding techniques to increase the recognition ratio and to decrease the computational complexity. The simulation results show that the proposed algorithm outperforms the conventional method and the thresholding technique enhances the performance of the proposed model.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.700-703
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• 2010

통합학문을 구성해야 한다는 시대적 요구가 점차 많아지고 있다. 이러한 요구는 둘 이상의 학문이 융합하여 시너지의 효과를 발생하거나 창의적인 문제해결 혹은 그 이상의 새로운 결과물을 창출하는 목적을 가지고 있다. 이는 궁극적으로 합침을 통하여 전혀 다른 새로운 것을 지향하는 통섭을 목적으로 하고 있다고 볼 수 있다. 교수 학습은 교수자와 학습자의 커뮤니케이션 과정이며 교사와 학생간의 원활한 커뮤니케이션이 이루어지지 않고는 교육의 본질적 목표를 달성하기 어렵다. 교수 학습의 연결은 커뮤니케이션이며, 이를 효율적으로 실행 가능하게 해 주는 것이 매체라 할 수 있다. 교수자와 학습자의 관계를 이어주는 커뮤니케이션, 매체와 인간이 하나로 통섭되는 매체의 인간화, 매체를 통한 커뮤니케이션의 확장을 통하여 사용자와 매체, 사용자와 사용자, 매체와 매체의 상호작용이 이루어지게 된다. 본 연구에서는 이러한 측면에서 인간 매체 간 통섭적 커뮤니케이션에 근거한 유러닝을 전망해 봄으로써 학습자 중심의 교육을 실현하는 관점을 제시하고자 한다.

• Asian Journal for Public Opinion Research
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• v.8 no.3
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• pp.246-264
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• 2020

As netizens increasingly utilize social media to obtain and engage with information, this study aims to determine the extent to which the follower-influencer interaction is manifested and strengthened. To analyze information related to the novel coronavirus disease (COVID-19), a total of 62,119 online posts from 11 Internet forums were examined to find a relationship between followers and influencers in Taiwan. These forums are PTT, SOGO, Ck101, Plurk, Mobile01, TalkFetnet, Gamez, PlaySport, Dcard, Eyny, and PCDVD. The variables that were the best predictors of influencer classification were strong influences, engagements, and hot values across 11 Internet forums. Learning the response to the COVID-19 pandemic is vital because public actions could have been fueled by stigmatizing terms that may harm public health and well-being. The results questioned the conventional diffusion of traditional news sources because the influencers brought widespread attention to the health threat issues in the early outbreak stages. This study enhances the understanding of forum types, follower engagement, and influencers' impact maximization in social networks. The conclusion provides insight into the relationships and information diffusion mechanisms to ensure accurate health information dissemination.

• The Journal of Pediatrics of Korean Medicine
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• v.15 no.2
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• pp.141-165
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• 2001

Attention-deficit/hyperactivity disorder(ADHD) is one of the most common childhood-onset psychlatric disorders. It is distinguished by symptoms of inattention, hyperactivity, and impulsivity. ADHD may be accompanied by learning disabilities, depression, anxiety, conduct disorder, and oppositional defiant disorder. The etiology of ADHD is unknown, and the disorder may have several different causes. Individual with ADHD present in childhood and may continue to show symptoms as they enter adolescence and adult life. Public interest in ADHD has increased along with debate in the media concerning the diagnostic process and treatment strategies. The purpose of this study is oriental medical approach to ADHD. This study was progressed for oriental diagnosis and treatment for ADHD. In oriental medicine, the reason of ADHD was deficiency of the kidney, hyperactivity of the liver(腎虛肝亢), deficiency of the heart and the spleen(心脾不足), heart disturbed by phlegm and heat(痰熱擾心). The method of medical treatment was nourishing the kidney and checking exuberance of yang(滋腎潛陽), relieving mental stress and promoting wisdom(寧神益智), nourishing the heart and strengthening the spleen(養心健脾), tranquilzation(安神定志). removing heat-phlegm(淸熱化痰), inducing resuscitation and tranquilzation(開窮安神). The prescription was commonly used as Liuwei Dihuang Wan jiajian(六味地黃丸加減), Guipi Tang he Ganmai Dazao Tang jiajian(歸脾湯合甘麥大棗湯加減), Huanglian Wendan Tang jiawei(溫黃連溫膽湯加味). It should help primary care providers in their assessment of a common child health problem.

• Journal of Digital Convergence
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• v.11 no.6
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• pp.137-142
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• 2013

Speech recognition system is input of inaccurate vocabulary by feature extraction case of recognition by appear result of unrecognized or similar phoneme recognized. Therefore, in this paper, we propose a speech recognition error correction method using phoneme similarity rate and reliability measures based on the characteristics of the phonemes. Phonemes similarity rate was phoneme of learning model obtained used MFCC and LPC feature extraction method, measured with reliability rate. Minimize the error to be unrecognized by measuring the rate of similar phonemes and reliability. Turned out to error speech in the process of speech recognition was error compensation performed. In this paper, the result of applying the proposed system showed a recognition rate of 98.3%, error compensation rate 95.5% in the speech recognition.

• Journal of Korean Home Economics Education Association
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• v.11 no.2
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• pp.13-26
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• 1999

The goals of this research are for producing and optimizing the CD-ROM, effective and practical Teaching-Learning method. It consists of Wearing Korean Traditional Costume for the First Grade of Middle School Students in Home Economics Teaching. This research’s summarization is following. First, the multi-media material. CD-ROM making use of Powerpoint. Wearing Korean Traditional Costume, is produced to help the students learn the difficult contents in terms of video and audio. Second, it is introduced the model of Open Education for increasing the efficiency of class. Third, it is developed to proceed the class with the CD-ROM and small group study of place activity. Fourth, it helps students concentrate on the class with proper sound effect whenever the slide films are changed. And it helps to link the web sites related to Korean Traditional Costume. Finally, another kinds of suggestions are following. The effective verification of this software that is tested and applied at the field for a given period will be necessary. And, it is necessary to upgrade for the CD-ROM and the supplementary teaching materials in Korean Traditional Costume education.

• Journal of Korea Game Society
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• v.13 no.5
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• pp.63-72
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• 2013

To enhance the effect of science educational contents, we developed a motion based training content: 3D space exploration. In this content, we used the 3D depth camera for user's motion recognition. Learners have to conduct the space station maintenance mission using the motion based natural and intuitive interface. The result this study is expected to propose the immersive training simulation for young science learners.

• Journal of Broadcast Engineering
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• v.21 no.4
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• pp.569-577
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• 2016

Place recognition for LBS (Location Based Service) has been one of the important techniques for user-oriented service. FLANN (Fast Library for performing Approximate Nearest Neighbor) of place recognition with image features is fast, but it is affected much by environmental condition such as occlusions. This paper presents a place recognition method using quad vocabulary tree with SURF (Speeded Up Robust Features). In learning stage, an image is represented with spatial pyramid of three levels and vocabulary trees of their sub-regions are constructed. Query image is matched with the learned vocabulary trees in each level. The proposed method measures homography error of the matched features. By considering the number of inliers in sub-region, we can improve place recognition performance.

• The Journal of Korean Association of Computer Education
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• v.8 no.4
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• pp.25-36
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• 2005

Data of 650 college students in the nation were collected by mail in 2001 Nov. Students preference over cyber communication methods were SMS message, messenger, blog, e-mail in that order. Younger students prefer SMS messages while older students prefer e-mail in relative term. Mobile phone is used more for SMS message than voice communication which is more so with females. The rate of non e-mail use is 57.8%, particularly males(61.9%) and younger students(69.4%) are higher. E-mail, once was very high in use, is being replaced by new media. Suggestion for e-learning environment are being connected, immediacy, active use of blog, more use of fun multimedia information.

• Journal of the Korea Society of Computer and Information
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• v.22 no.12
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• pp.101-108
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• 2017

The study proposed a system that filters the data that is entered when analyzing big data such as SNS and BLOG. Personal information includes impersonal personal information, but there is also personal information that distinguishes it from personal information, such as religious institution, personal feelings, thoughts, or beliefs. Define these personally identifiable information as sensitive information. In order to prevent this, Article 23 of the Privacy Act has clauses on the collection and utilization of the information. The proposed system structure is divided into two stages, including Big Data Processing Processes and Sensitive Information Filtering Processes, and Big Data processing is analyzed and applied in Big Data collection in four stages. Big Data Processing Processes include data collection and storage, vocabulary analysis and parsing and semantics. Sensitive Information Filtering Processes includes sensitive information questionnaires, establishing sensitive information DB, qualifying information, filtering sensitive information, and reliability analysis. As a result, the number of Big Data performed in the experiment was carried out at 84.13%, until 7553 of 8978 was produced to create the Ontology Generation. There is considerable significan ce to the point that Performing a sensitive information cut phase was carried out by 98%.