• Science of Emotion and Sensibility
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• v.22 no.4
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• pp.57-64
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• 2019

Anger is the most common emotional trigger causing relapses in individuals with alcohol use disorders (AUDs). The present study intended to investigate the autonomic nervous system (ANS) responses induced by anger in individuals with AUDs. The participants in this study included twelve individuals with AUDs and 14 non-frequent drinkers. Anger was induced in the participants via a 120-second film clip. Before the presentation of this audio-visual stimulus, the ANS responses of the participants were measured for 60 seconds to ascertain their resting state. Subsequently, the participants' ANS responses were measured again for 120 seconds when they were in an emotional state during the presentation of the clip. After the ANS measurements were taken, participants were asked to rate the type of emotion they had experienced as they viewed the film and to report its intensity. The results indicated that the levels of anger experienced by the AUD group were not significantly different from the emotion registered by the control group. However, the ANS responses induced in AUD participants when they were in an emotional state showed blunted skin conductance levels (SCL) and skin conductance responses (SCR) compared to the control group participants. Individuals with AUDs evinced lower emotional arousal than the participants of the control group. These results can help clinicians understand the psychological and physiological responses of individuals with AUDs to anger in order to design effective interventions that would reduce chances of anger and relapse.

• Korean journal of communication and information
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• v.47
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• pp.74-95
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• 2009

With the digital technical development, the German public broadcasting system has enlarged their online services with the rapid growth of internet population and digital channels. In the debate on online services of public broadcasting systems the major issue is that broadcasting fees finance their broadcast, though they are intended to support mass communication only. Therefore the German private broadcasting claimed to the European Union, that broadcasting fee of the German public had to be regarded as state aid concerning fair competition. Due to the autonomy of the German public broadcasting systems, guaranteed by the German Constitutional Law, a public value test was proposed to the EU and was accepted domestically. The cut in rise of broadcasting fees was stated unconstitutional by the German Constitional Court in 2007, when online services were consolidated as the third media amongst TV and radio with regard to basic provision. This with the public value tests of the public and the accept of the EU's Audio Visual Media Services Directive was constituted in the 12th amendment of the State Contract of Broadcasting. This three-dimensional legislative process could be instructive for the korean process, because Korea too is on the verge of constituting a regulatory system of convergence media.

• Korean journal of communication and information
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• v.35
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• pp.114-146
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• 2006

Now, Korea-U.S.A Free Trade Agreement talk is underway in Korea. In FTA talks, the issues on audio-visual sector including screen quota, opening of broadcasting and telecommunication to the U.S.A. are becoming a hot potato. Globalization has been speed up by mass media and telecommunications. Cultures are no longer bounded by specific place but, through the migration of persons and the electronic flows of information, ideas and images, transgress established boundaries. So issues and debates have to be focused on global culture and cultural imperialism. Some would argue global culture is the consequences of capitalist world-system, so dominance by the center should be criticized and vanished. Some would say that global culture would help recipient society's people with cultural diversify and improvement. The issues on culture and communication, particularly at international level call for our attention in light of cultural identity, homogenization and diversity. Although I criticize the cultural imperialism thesis, I suggest critical acceptance of cultural imperialism. That is the observation of complexity between internal and external dynamics. The process of cultural imperialism is not simple and unitary. It rather involves the various forces of internal dynamics along with external forces.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.668-676
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• 2016

This study reviewed the planning characteristics of contemporary Japanese middle school architecture on which related studies are insufficient, aiming to obtain new ideas for planning Korean middle school facilities. Fourteen case schools built after 1990s were selected and analyzed. They were divided into learning-living space and other major spaces. The planning characteristics of the case schools are summarized as follows 1) The case schools were classified into two categories, departmentalized classroom type (D type) and usual with variation type (UV type) by school system. These categories can also be the classification standard for basic architectural characteristics in learning and living space of case schools. 2) D type case schools have departmentalized classrooms, home base, media space and teacher's space for learning-living space. D type case schools are divided into 'attached-to-classroom type' and 'separate type' depending on the adjacency of the home base and departmentalized classroom. 3) UV type case schools have multipurpose space around the classroom for learning-living space and can be divided into two types, i.e., 'directly adjacent' and 'separate', depending on the connectivity to classroom of multipurpose room. 4) Specialized classrooms are designed to have the openness to the public and the own characteristics of school subjects strengthened and show the spatial differentiation with connected ancillary spaces. 5) Libraries are designed as complex zones grouped with computer labs, audio visual rooms and multipurpose halls not as a single room and as open plan not with a closed wall. 6) The gymnasium is the basic sports facility with a martial arts room and outdoor pool, which are for after-school activities as well as physical education class. 7) The terrace, balcony and outdoor stairs are frequently used architectural vocabularies as diverse outdoor spaces with a variety of functions.

• Science of Emotion and Sensibility
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• v.10 no.3
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• pp.373-381
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• 2007

The purpose of this study was to extract important problem features for care of senile dementia patients. Selected cognitive ability test (Korean Mini-Mental State Examination: K-MMSE) and survey of basic & problem characteristics were conducted on 110 hospitalized senile dementia patients and 30 normal subjects. Problem features of senile dementia patients were extracted using factor analysis. The frequency difference of problem features due to the gender and dementia severities was verified using one-way ANOVA. Twenty problem features were extracted by the factor analysis. According to the gender, there are significant differences in the frequency of problem features in violent language & confabulation, collecting behavior, and repetitive behavior. According to the dementia severities, there are significant differences in the frequency of all problem features except abnormal sexual behavior and audio-visual disorder. The result of this study is expected to be used for the development of the senile dementia patients' life-care monitoring system.

• Journal of Broadcast Engineering
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• v.23 no.6
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• pp.855-865
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• 2018

Sound event detection is one of the research areas to model human auditory cognitive characteristics by recognizing events in an environment with multiple acoustic events and determining the onset and offset time for each event. DCASE, a research group on acoustic scene classification and sound event detection, is proceeding challenges to encourage participation of researchers and to activate sound event detection research. However, the size of the dataset provided by the DCASE Challenge is relatively small compared to ImageNet, which is a representative dataset for visual object recognition, and there are not many open sources for the acoustic dataset. In this study, the sound events that can occur in indoor and outdoor are collected on a larger scale and annotated for dataset construction. Furthermore, to improve the performance of the sound event detection task, we developed a dual CNN structured sound event detection system by adding a supplementary neural network to a convolutional neural network to determine the presence of sound events. Finally, we conducted a comparative experiment with both baseline systems of the DCASE 2016 and 2017.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.9
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• pp.265-273
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• 2018

In this paper, we propose an acoustic event detection method in tunnels using non-negative tensor factorization (NTF) and hidden Markov model (HMM) applied to multi-channel audio signals. Incidents in tunnel are inherent to the system and occur unavoidably with known probability. Incidents can easily happen minor accidents and extend right through to major disaster. Most incident detection systems deploy visual incident detection (VID) systems that often cause false alarms due to various constraints such as night obstacles and a limit of viewing angle. To this end, the proposed method first tries to separate and detect every acoustic event, which is assumed to be an in-tunnel incident, from noisy acoustic signals by using an NTF technique. Then, maximum likelihood estimation using Gaussian mixture model (GMM)-HMMs is carried out to verify whether or not each detected event is an actual incident. Performance evaluation shows that the proposed method operates in real time and achieves high detection accuracy under simulated tunnel conditions.

• (The) Research of the performance art and culture
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• no.39
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• pp.863-901
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• 2019

This paper deals with the process of developing a traditional culture content based on the historical spread of Jajimu, an ethnic dance of ancient Tashkent(Chach), to Tang China and then to Goryeo in Korean peninsula. Jajimu as a solo dance form was a very enegetic dance form that reflects the dynamic nature of namadic life, and it enjoyed high popularity in Tang China due to its exotic style after the 8th century A.D. Later, it gave a birth to a derivative duet dance form called Ssangjaji or Guljaji, an highly sophisticated elegant court dance item that reflects the aesthetic taste of Tang China. Further, the Ssangjaji was flowed into Georyeo around in the 11th century or earlier, and was transformed into a Korean court dance while renaming it as Yeonhwadae that means 'lotus pedestal'. I tried the production of a special performance which displys those three dance forms on same stage to demonstrate the historical connection of ancient Asian dance. It was not easy to restore the music, dance and costume of Jajimu and Ssangjaji because of limited historical materials whereas those of Korean Yeonhwadae have been well preserved and transmitted owing to old dance and music notation system. A large amount of audio, visual materials were collected and analysed to overcome those limits, and its result was utilized efficiently for the production. The final performance was the culmination of long preparation process for 11 months in 2015. In spite of some limits, this project has a historical meaning in the point that it was the first trial of same kind in the world.

• The Korean Journal of Nuclear Medicine Technology
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• v.17 no.1
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• pp.30-35
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• 2013

Purpose: One of the current services, providing information to the patients and their guardians by using promotion materials induces positive responses and contributes to the improvement of the hospital reliability. Therefore, the objective of this study is to evaluate the effectiveness of audio visual materials, one of the means of promotion, as a way to give accurate medical information to resolve patient's curiosity about purpose and procedure of their examination and deplete complains about waiting which attributes negative effect to service quality assessment. Materials and Methods: 60 patients(mean age $53.97{\pm}12.24$, male : female = 26 : 34) who had $^{18}F-FDG PET/CT$ scan from July 2012 to August 2012 in Seoul Asan Medical Center were referred to the study. All of the patients having PET/CT scan were asked to watch an informative video material before the injection of radiopharmaceutical ($^{18}F-FDG$) and to fill in a questionnaire. Results: As a result of analyzing the contents of questionnaire, 52% of 60 patients had PET/CT scan for the first time and 72.4% of the patients read the PET/CT guidebook offered from their outpatient department or inpatient wards before their scan. After we searched the level of previous knowledge of the purpose and method of PET/CT scan, the patients answered 25.1% "know well", 34% "not sure", 40.9% "don't know" respectively. And 84.7% of the patients answered that watching the PET/CT guide video before the injection helps understanding what exam they were having and 15.3% of the patients did not. For the question asking ever the patients have experienced using our homepage or smart phone QR code to see the guide video before they visit out PET center, only 3.3% of them answered "yes". Lastly, the patients answered 60.1% "yes", 31.4% "so so" and 8.5% "no" respectively for the question asking whether watching the video makes the patients to fill the waiting time short. Conclusion: It is found that understanding of objective and method of the PET/CT scan and level of satisfaction was improved after the patients watched the guide video whether they had PET/CT scan before and read the PET/CT guidebook or not. Also, watching the video was effective for the reduction of perceptible waiting time. But while displaying the PET/CT guide video is useful for providing information about the scan and shortening the waiting time as one of the medical service, utilization of service was actually very poor because of the passive promotion and indifference of the patients about their examination. Therefore, from now on, it is necessary to construct the healthcare system which can be offered to more patients through the active promotion.

• Journal of Intelligence and Information Systems
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• v.24 no.3
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• pp.1-19
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• 2018

Large amount of data is now available for research and business sectors to extract knowledge from it. This data can be in the form of unstructured data such as audio, text, and image data and can be analyzed by deep learning methodology. Deep learning is now widely used for various estimation, classification, and prediction problems. Especially, fashion business adopts deep learning techniques for apparel recognition, apparel search and retrieval engine, and automatic product recommendation. The core model of these applications is the image classification using Convolutional Neural Networks (CNN). CNN is made up of neurons which learn parameters such as weights while inputs come through and reach outputs. CNN has layer structure which is best suited for image classification as it is comprised of convolutional layer for generating feature maps, pooling layer for reducing the dimensionality of feature maps, and fully-connected layer for classifying the extracted features. However, most of the classification models have been trained using online product image, which is taken under controlled situation such as apparel image itself or professional model wearing apparel. This image may not be an effective way to train the classification model considering the situation when one might want to classify street fashion image or walking image, which is taken in uncontrolled situation and involves people's movement and unexpected pose. Therefore, we propose to train the model with runway apparel image dataset which captures mobility. This will allow the classification model to be trained with far more variable data and enhance the adaptation with diverse query image. To achieve both convergence and generalization of the model, we apply Transfer Learning on our training network. As Transfer Learning in CNN is composed of pre-training and fine-tuning stages, we divide the training step into two. First, we pre-train our architecture with large-scale dataset, ImageNet dataset, which consists of 1.2 million images with 1000 categories including animals, plants, activities, materials, instrumentations, scenes, and foods. We use GoogLeNet for our main architecture as it has achieved great accuracy with efficiency in ImageNet Large Scale Visual Recognition Challenge (ILSVRC). Second, we fine-tune the network with our own runway image dataset. For the runway image dataset, we could not find any previously and publicly made dataset, so we collect the dataset from Google Image Search attaining 2426 images of 32 major fashion brands including Anna Molinari, Balenciaga, Balmain, Brioni, Burberry, Celine, Chanel, Chloe, Christian Dior, Cividini, Dolce and Gabbana, Emilio Pucci, Ermenegildo, Fendi, Giuliana Teso, Gucci, Issey Miyake, Kenzo, Leonard, Louis Vuitton, Marc Jacobs, Marni, Max Mara, Missoni, Moschino, Ralph Lauren, Roberto Cavalli, Sonia Rykiel, Stella McCartney, Valentino, Versace, and Yve Saint Laurent. We perform 10-folded experiments to consider the random generation of training data, and our proposed model has achieved accuracy of 67.2% on final test. Our research suggests several advantages over previous related studies as to our best knowledge, there haven't been any previous studies which trained the network for apparel image classification based on runway image dataset. We suggest the idea of training model with image capturing all the possible postures, which is denoted as mobility, by using our own runway apparel image dataset. Moreover, by applying Transfer Learning and using checkpoint and parameters provided by Tensorflow Slim, we could save time spent on training the classification model as taking 6 minutes per experiment to train the classifier. This model can be used in many business applications where the query image can be runway image, product image, or street fashion image. To be specific, runway query image can be used for mobile application service during fashion week to facilitate brand search, street style query image can be classified during fashion editorial task to classify and label the brand or style, and website query image can be processed by e-commerce multi-complex service providing item information or recommending similar item.