• Proceedings of the Korea Information Processing Society Conference
• /
• 2006.11a
• /
• pp.51-54
• /
• 2006

본 논문에서는 각 사용자들의 취향에 맞는 음악을 추천하는 개인화된 음악 추천 시스템을 소개한다. 추천 시스템이란 사용자의 선호도를 분석하고 아이템들에 대한 사용자의 선호도를 예측하여 영화, 음악, 기사, 책, 웹 페이지 등과 같은 아이템들을 추천하는 시스템을 말한다. 추천 시스템들에서 가장 많이 사용하고 있는 협동적 추천 방식은 선호도 데이터를 기반으로 유사한 사용자들을 찾고, 유사 사용자들의 선호도를 기반으로 예측을 수행하는 것으로서, 여러 장점들이 있으나 희소성(sparsity) 문제와 확장성(scalability) 문제에 대해 취약점을 가지고 있다. 아이템들의 전체 수에 비해 매우 적은 수의 아이템 선호도 데이터만 존재한다면 사용자들의 유사도를 계산하기가 어려우며, 또한 사용자의 수가 늘어날수록 유사도 계산에 걸리는 시간이 급격하게 늘어남으로써 수백만 사용자가 있는 웹 사이트 등에서 실시간 추천을 수행하기 어렵다. 본 논문에서 소개하는 음악 추천 시스템은 이러한 문제점들을 해결하기 위해 그래프 기반 협동적 여과 기법을 사용한다. 그래프 기반 협동적 여과 기법은 기존의 협동적 여과 기법들과 달리 아이템들 사이의 연관관계를 그래프 모델로 표현하고 저장함으로써 묵시적인 선호도 정보들을 누적하여 희소성 문제를 해결하고, 추천 아이템을 선정하는데 필요한 계산 시간을 크게 단축하여 대규모 데이터에서 실시간 추천을 가능하게 한다는 장점이 있다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2020.11a
• /
• pp.655-658
• /
• 2020

최근 IT 기술의 발달로 태블릿, 스마트폰과 같은 다양한 디바이스로 손쉽게 음악을 감상할 수 있다. 하지만 최근 이런 기술 발달과는 다르게 사용자가 원하는 음악을 검색하는 방법은 고전적인 형태에서 벗어나지 않고 있다. 기존 음악 검색 방법은 텍스트 기반, 내용 기반, 소비자 감성 기반의 음악 추천 검색 방법이 있으며 저장된 메타 데이터를 이용하여 사용자의 질의에 대한 결과만 제공할 뿐 사용자의 경험 정보를 고려하지 않는다. 그리고 기존 플랫폼들은 사용자가 최근 많이 들은 가수, 장르, 분위기를 종합하여 사용자에게 어울리는 음악을 추천을 할 뿐 사용자의 경험정보를 고려하여 음악을 추천하지는 않는다. 본 논문에서는 사용자의 경험 정보를 활용하여 사용자 맞춤형 음악 추천 시스템을 제안한다. 본 시스템은 사용자의 현재 기분 정보, 주변 날씨 정보 등을 입력 받는다. 이후, 경험 정보를 기반으로 결정 트리를 통해 사용자 요구 기반의 음악 추천 시스템을 구축하였다.

• Journal of The Korean Association of Information Education
• /
• v.24 no.1
• /
• pp.71-78
• /
• 2020

To maximize educational effect with new educational methods in the 4th Industrial Revolution era, immersive education has become the core type of education and virtual reality (VR) is at the center of realistic content. VR education is increasing in school, but researches on VR production education are insufficient. Our study has proposed a school-level curriculum for students to create their own VR content. The output and the survey results were analyzed to find out the learner characteristics of elementary school students, middle school students, and pre-service teachers at each school level. As a result, there were some noticeable differences in concentration, content subject, and production time according to school level. Primary school students focused on their subjects, middle school students related to learning, and pre-service teachers put top priority on contents useful for primary education.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.26 no.3
• /
• pp.226-232
• /
• 2016

The research for the improvement in math and science scores is active by the brain exercises, stress reliefs, and emotion sensitized illuminations. This principle is based on the following facts that the most effective brain turns are supported with the circumstances not only when the brain wave should keep stability and comfort in science criticism, but also when minimized stress and comfortable illumination should be adjusted in solving math problem. In this paper, in order to effectively learn mathematics and science, the most optimized simulating tests in learning conditions are conducted by using a stress relief. However, depending on the users' tastes, the effectiveness on favorite music or colors therapy have no convergency but many differentiations. Therefore, in this paper, in order to solve this problem, the proposed optimal illumination and music therapy treatment using fuzzy inference method.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.9
• /
• pp.420-426
• /
• 2018

Acoustic Quanta, which British Physicist Dennis Gabor created, is the theoretical background for granular synthesis and has influenced many computer music artists and sound designers. Acoustic Quanta is a very short sound burst, lasting only 1 to 100 ms. Granular synthesis is a sound synthesis technique which slices original sound into sound grains and re-combines them into a new acoustic event. Concept of sound grain is borrowed from the acoustic quanta. Granular Synthesis can make very unique sound, so that it can be useful in many ways, especially in sound design. This paper presents concept of acoustic quanta and granular synthesis. It then discusses making a synthesizer as an implementation of synchronous granular synthesis and its applications on sound design. As a result, the duration of acoustic quanta should range between 0.239 and 33.367 ms, in consideration of audible frequencies, which is different from the original concept of the acoustic quanta.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.40 no.7
• /
• pp.1413-1419
• /
• 2015

Monopulse RADAR is the radar which detects the range of the target using a single transmitted signal. In this paper, using 9.41GHz X-band radar, the research for the phase comparison monopulse algorithm used in the marine environment is conducted. In addition, by applying the phase comparison monopulse algorithm, we calculate the RMSE for the various antenna spacings and the positions of the target. Based on that result, we compare the performance of the phase comparison monopulse algorithm in the uniform linear array with that in the non-uniform linear array. Finally, the differences in performance among the MUSIC algorithm, Bartlett method and the proposed phase comparison monopulse algorithm are analyzed.

• Journal of the Korean Institute of Educational Facilities
• /
• v.6 no.2
• /
• pp.13-23
• /
• 1999

This paper seeks to find out the policies of management and layout of middle school rooms for the community people's use. This paper surveys community's needs with respect to both the use of school rooms before, during, and after classes and preferences of use of school rooms. This paper adopts two experimental case studies to find out the models. It uses t-test analysis of the statistics to find out community people's preferences for the use of school rooms between two communities in an urban area, and uses simple and multiple regression analyses to develop models concerning community people's uses of school rooms before, during, and after classes. It also uses cluster analysis to find out the cluster among community people's preference of school rooms. It found, first, that community people's use of school rooms after class can be influenced by the uses of a play ground, a music classroom, an audio visual classroom, and a gymnasium. The use during regular classes is related to the uses of the fine arts classroom, a general classroom, a home economics classroom, a gymnasium, and a playground. The use before class is affected by the uses of a fine arts classroom, a playground, and a library. It also found that, with respect to community people's preferential use of school rooms, the rooms can be clustered as a cluster of laboratories such as a general classroom, a music room, a fine arts classroom, a science classroom, a home economics classroom, and a technique classroom, a cluster of athletic areas such as a gymnasium and a playground, and a cluster of supporting facilities such as a library, an audio visual classroom, and a computer classroom. Those clusters can also be clustered in more detail, i. e., that both a general classroom and playground can be apart from a cluster of laboratories or a cluster of supporting facilities; that an audio visual classroom can be fostered into a cluster with a home economics affairs classroom and a technique classroom. Finally this paper suggests policies of management and layout of school rooms.

• Journal of Digital Convergence
• /
• v.18 no.7
• /
• pp.215-222
• /
• 2020

The aim of this study was to develop a mobile application 'Beat Processing Device (BPD)' to record and quantify the data for the performance accuracy of rhythm production. BPD has been developed in three phases. First, we reviewed studies that used rhythm as main intervention strategy to improve cognitive functioning of older adults, and derived four basic rhythm idioms. Second, we developed an iOS-based mobile application, optimized the device, the instrument tone, and the measurement variables through preliminary test. Lastly, we tested the mobile application by comparing the performance data obtained from MIDI and BPD from 60 older adults. The device was shown to be reliable and consistent with other mode of measurement and analysis. Conclusively, BPD can be a useful tool for assessing rhythm production ability in the course of cognitive skills training.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.4
• /
• pp.713-720
• /
• 2018

The Signal Intelligence (SIGINT) system based on Angle-of-Arrival(AOA) estimation, interference suppression, and transmission beamforming techniques is a cutting edge technology for efficiently collecting various signal information. In this paper, we present the efficient structure of a satellite system consisted of an AOA estimator, an adaptive beamformer, a signal processing and D/B unit, and a transmission beamformer, for collecting signal information. For accurately estimating AOAs of various signals, efficiently suppressing interference or jamming signals, and efficiently transmitting the collected information or data, we employ Multiple Signal Classification (MUSIC), Minimum Variance Distortionless Response (MVDR), and Minimum Mean Square Error (MMSE) algorithms, respectively. Also, we evaluate and analysis the performance of the presented satellite system through the computer simulation.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.13 no.6
• /
• pp.1207-1212
• /
• 2018

The signal intelligence (SIGINT) technology is actively used for collecting various data, in a number of fields, including a military industry. In order to collect the signal information and data and to transmit/receive the collected data efficiently, the accurate angle-of-arrival (AOA) information is required and communication disturbance from the interference or jamming signal should be minimized. In this paper, we present the structure of an adaptive beam-forming satellite system based on the planar array antenna, for collecting and transmitting/receiving the signal information and data efficiently. The presented adaptive beam-forming system consists of an antenna in the form of a planar array, an AOA estimator based on the Multiple Signal Classification (MUSIC) algorithm, an adaptive Minimum Variance Distortionless Response (MVDR) interference canceler, a signal processing and D/B unit, and a transmission beamformer based on Minimum mean Square Error (MMSE). In addition, through the computer simulation, we evaluate and analyze the performance of the proposed system.