• Journal of Internet of Things and Convergence
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• v.2 no.2
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• pp.1-6
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• 2016

Recently, various types of wearable computers have been studied. In this paper, we analyze the characteristics of head motion information for the operation of the motion classifier produced motion headset that the user can use while listening to music. The prototype receives music from smart phone over bluetooth communications, and transmits the motion information measured by the acceleration sensor to the smart phone. And the smartphone classifies the motion of the head through a motion classifier. we implemented a prototype for our experiment. The user's head motion "up", "down", "left" and "right" were classified using a Bayesian classifier. As a result, in case of the movement of the head "up" and "down", there are a large changes in the x, z-axis values. In future we have a plan to perform a user study to find suitable variables for creating motion classifier.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.30 no.4
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• pp.275-281
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• 2019

A synthetic aperture radar(SAR) satellite is more effective than an optical satellite for target analysis because an SAR satellite can provide two-dimensional electromagnetic scattering distribution of a target during all-weather and day-and-night operations. To conduct target analysis while considering the earth observation interval of an SAR satellite, observing a specific area as wide as possible would be advantageous. However, wider the observation area, worse is the resolution of the associated SAR satellite image. Although conventional methods for improving the resolution of radar images can be employed for addressing this issue, few studies have been conducted for improving the resolution of SAR satellite images and analyzing the performance. Hence, in this study, the applicability of conventional methods to SAR satellite images is investigated. SAR target detection was first applied to Korea Multipurpose Satellite-5(KOMPSAT-5) SAR images provided by Korea Aerospace Research Institute for extracting target responses. Extrapolation, RELAX, and MUSIC algorithms were subsequently applied to the target responses for improving the resolution, and the corresponding performance was thereby analyzed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.5
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• pp.576-583
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• 2020

This paper proposes a technique to determine the spam comments on YouTube, which have recently seen tremendous growth. On YouTube, the spammers appeared to promote their channels or videos in popular videos or leave comments unrelated to the video, as it is possible to monetize through advertising. YouTube is running and operating its own spam blocking system, but still has failed to block them properly and efficiently. Therefore, we examined related studies on YouTube spam comment screening and conducted classification experiments with six different machine learning techniques (Decision tree, Logistic regression, Bernoulli Naive Bayes, Random Forest, Support vector machine with linear kernel, Support vector machine with Gaussian kernel) and ensemble model combining these techniques in the comment data from popular music videos - Psy, Katy Perry, LMFAO, Eminem and Shakira.

• Journal of Biomedical Engineering Research
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• v.34 no.1
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• pp.8-13
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• 2013

Persons with sensorineural hearing impairment have troubles in hearing at noisy environments because of their deteriorated hearing levels and low-spectral resolution of the auditory system and therefore, they use hearing aids to compensate weakened hearing abilities. Various algorithms for hearing loss compensation and environmental noise reduction have been implemented in the hearing aid; however, the performance of these algorithms vary in accordance with external sound situations and therefore, it is important to tune the operation of the hearing aid appropriately in accordance with a wide variety of sound situations. In this study, a sound classification algorithm that can be applied to the hearing aid was suggested. The proposed algorithm can classify the different types of speech situations into four categories: 1) speech-only, 2) noise-only, 3) speech-in-noise, and 4) music-only. The proposed classification algorithm consists of two sub-parts: a feature extractor and a speech situation classifier. The former extracts seven characteristic features - short time energy and zero crossing rate in the time domain; spectral centroid, spectral flux and spectral roll-off in the frequency domain; mel frequency cepstral coefficients and power values of mel bands - from the recent input signals of two microphones, and the latter classifies the current speech situation. The experimental results showed that the proposed algorithm could classify the kinds of speech situations with an accuracy of over 94.4%. Based on these results, we believe that the proposed algorithm can be applied to the hearing aid to improve speech intelligibility in noisy environments.

• Science of Emotion and Sensibility
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• v.25 no.3
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• pp.47-62
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• 2022

Previous emotion studies revealed the two core affective dimensions of valence and arousal using affect-eliciting stimuli, such as pictures, music, and videos. Autonomous sensory meridian response (ASMR), a type of stimuli that has emerged recently, produces a sense of psychological stability and calmness. We explored whether ASMR could be represented on the core affect dimensions. In this study, we used three affective types ASMR (negative, neutral, and positive) as stimuli. Auditory ASMR videos were used in Study 1, while auditory and audiovisual ASMR videos were used in Study 2. Participants were asked to rate how they felt about the ten adjectives using five-point Likert scales. Multidimensional scaling (MDS) and classification analyses were performed. The results of the MDS showed that distinctions between auditory and audiovisual ASMR videos were represented well in the valence dimension. Additionally, the results of the classification showed that affective conditions within and across individuals for within- and cross-modalities. Thus, we confirmed that the affective representations for individuals could be predicted and that the affective representations were consistent between individuals. These results suggest that ASMR videos, including other affect-eliciting videos, were also located in the core affect dimension space, supporting the core affect theory (Russell, 1980).

• Science of Emotion and Sensibility
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• v.26 no.2
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• pp.39-52
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• 2023

According to the core affect theory, affect consists of two independent dimensions of valence and arousal. Previous studies have found that various types of stimuli, such as pictures, videos, and music, are mapped onto the core affect space. However, the research on affect using gustatory stimuli has not been explored sufficiently. This study investigated whether the affects elicited by tastes could be mapped onto the core affect space. Stimuli were selected based on two factors (taste types and intensity). Participants were presented with each stimulus, evaluated the tastes, and rated their affective responses on taste and emotion scales. The data were analyzed using repeated-measures ANOVAs and multivariate analyses (multidimensional scaling and classification). The results of univariate analyses indicated that participants felt positive for sweet stimuli but negative for bitter and salty. Furthermore, participants reported high arousal with high intensity. Multidimensional scaling revealed that taste stimuli are also represented on the core affect dimensions. Specifically, it was confirmed that in the first dimension, sweetness was represented as a positive affect, while bitter and salty tastes were represented as a negative affect. In the second dimension, bitterness was represented as low arousal and sourness as high arousal. Classification analyses confirmed that the taste was identified consistently based on the affective responses within and across participants. This study showed that the taste stimuli in daily life are also located on core affect dimensions of valence and arousal.

• Journal of Korean Library and Information Science Society
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• v.36 no.4
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• pp.77-98
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• 2005

The purpose of this research is to propose a powerful alternative in designing knowledge portals using Topic Maps(TM). To demonstrate the power of TM In constructing knowledge portals. we designed a TM-based korean folk music(pansori) site, tested It with an existing pansoree site (pansoree.com ) employing diverse query patterns : simple, advanced, associative, and cross referential Queries. The results show that the TM-based site outperforms the pansoree.com in searching time and steps. The TM-based site also provide novice users who do not know pansori domain with easy access to Information that they need.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.5 no.1
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• pp.45-51
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• 2012

In this paper, it's a system which recognize the user's emotions after obtaining the biological informations(pulse sensor, blood pressure sensor, blood sugar sensor etc.) about user's bio informations through wireless sensors in accordance of previously collected informations about user's stress index and classification the Colors & Music. This system collects the inputs, saves in the database and finally, classifies emotions according to the stress quotient by using multiple SVM(Support Vector Machine) algorithm. The experiment of multiple SVM algorithm was conducted by using 2,000 data sets. The experiment has approximately 87.7% accuracy.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.3
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• pp.119-128
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• 2017

In this paper, the wideband direction finding algorithm and system design method for short duration signal such as frequency hopping or burst signal is presented. The polyphase filterbank that it is possible for the near perfect reconstruction was used as a pre-processing and in each subband power measurement was performed to determine whether the presence of a signal and finally general direction finding algorithm was performed. In addition, various experiments was performed using Matlab Simulink and collected data from wideband receiver to verification of the proposed algorithm.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.1
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• pp.249-268
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• 2013

This paper investigates the copyright problems faced in the process of collecting Performing Arts Records by the Performing Arts Institutions and the Performing Arts Archives. For this, first, the collected records at the scene of performing arts were classified. Secondly, the copyright problems were judicially analyzed based on the classification drawn. As a result, first, the copyright itself constitutes very complicated copyright systems since performing arts are thought to have characteristics of comprehensive arts, reborn with an artistic work from various fields such as music, stage and costumes. Secondly, the documentaries produced in the theater scene subsequently leads to another copyright problem which are different from one the copyright of the concert itself. Thirdly and lastly, this paper revealed that the copyright issues can be variously constituted according to record type and the substantial production body.