• Journal of Positioning, Navigation, and Timing
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• v.9 no.2
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• pp.65-70
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• 2020

For a wireless communication system, the angle-of-arrival (AOA) of the signal has a variety of applications. The signal AOA is estimated utilizing various antenna array structure such as Uniform Linear Array (ULA), Uniform Rectangular Array (URA), and Uniform Circular Array (UCA). In this paper, we introduce a cascade AOA estimation algorithm based on the UCA, which is consisted of CAPON and Beamspace MUSIC. CAPON is employed to estimate approximate AOA groups including multiple AOA signals and Beamspace MUSIC is employed to estimate detailed signal AOAs in the estimated AOA groups. In addition, we provide the computer simulation results for verifying and analyzing the performance of the cascade AOA estimator based on UCA.

• ETRI Journal
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• v.43 no.6
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• pp.1081-1092
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• 2021

Electroencephalography (EEG) recordings taken during the perception of music tempo contain information that estimates the tempo of a music piece. If information about this tempo stimulus in EEG recordings can be extracted and classified, it can be effectively used to construct a music-based brain-computer interface. This study proposes a novel convolutional recurrent attention model (CRAM) to extract and classify features corresponding to tempo stimuli from EEG recordings of listeners who listened with concentration to the tempo of musics. The proposed CRAM is composed of six modules, namely, network inputs, two-dimensional convolutional bidirectional gated recurrent unit-based sample encoder, sample-level intuitive attention, segment encoder, segment-level intuitive attention, and softmax layer, to effectively model spatiotemporal features and improve the classification accuracy of tempo stimuli. To evaluate the proposed method's performance, we conducted experiments on two benchmark datasets. The proposed method achieves promising results, outperforming recent methods.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.6
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• pp.1130-1141
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• 2015

Conventionally, a pulse radar is used for middle-sized or large-sized ships to detect other ships or obstacles located at a long distance. However, it is hardly equipped for most of the small-sized ships due to mounting and maintenance costs. Therefore, FMCW(frequency modulated continuous wave) radar is suggested as an alternative for the small-sized ships. Since it operates with low power and has good range resolution for relatively close objects, it is eligible for the small-sized ships. In previously proposed FMCW radar system, it only estimates distance and velocity of a target ship placed in the direction of main beam and is hard to detect several ships simultaneously. Thus, we suggest the method for detecting several ships at the same time by applying MUSIC(multiple signal classification) algorithm to FMCW radar signal received by a phased array antenna. In addition, by combining digital beam forming with the MUSIC algorithm, better angle resolution is achievable.

• Journal of the Korea Society of Computer and Information
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• v.12 no.6
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• pp.97-104
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• 2007

This paper presents the problem of the feature extraction techniques that has been used a content-based analysis, classification and retrieval in audio data and proposes a course of the preprocessing for a new contents-based retrieval methods. Because the feature vector according to sampling value changes, the existing audio data analysis is problem that same music is appraised by other music. Therefore, we propose waveform information extraction method of PCM data for retrieval audio data of various format to contents-based. If this method is used. we can find that audio datas that get into sampling in various format are same data. And it may be applied in contents-based music retrieval system. To verity the performance of the method, an experiment was done feature extraction using STFT and waveform information extraction using PCM data. As a result, we could know that the method to propose is effective more.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.137-145
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• 2006

A user remembers a melody as not the combination of pitch and duration which is written in score but the contour which is composed of the relative pitch and duration. Because of the way of remembering a melody the previous Music Information Retrieval Systems which uses keyboard Playing or score as the main input melody are not easily acceptable in Query By Humming Systems. In this paper, we mention about the considerable checkpoints for Query By Humming System and previous researches. And we propose the feature extraction which is similar with the way of remembering a melody and similarity computation algorithms between melody in humming and melody in music. The proposed similarity computation algorithms solves the problem which can be happened when only uses the relative pitches by using relative durations.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10c
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• pp.183-188
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• 2006

허밍을 통한 유사 검색 질의가 주어질 때 효과적으로 음악 데이터베이스를 검색하는 시스템에 대한 연구는 다양한 방향으로 진행되어 왔다. 최근에는 음악 데이터와 허밍 질의를 시계열 데이터로 보고 시계열 데이터 유사 검색과 관련하여 제안되어 왔던 여러 가지 거리 척도(distance measure)나 인덱싱 기법등을 적용하여 효과적으로 질의를 처리하려는 시도가 계속 되고 있다. 허밍 질의의 특성을 고려한 균일 스케일링(Uniform Scaling)을 사용하여 효과적인 유사 검색을 하는 방법은 가장 최근 제시된 방법 중 하나이다. 본 논문에서는 허밍을 통한 유사 검색 시스템인 Humming BIRD(Humming Based similaR miDi music retrieval system)를 제안하고 구현하였다. 슬라이딩 윈도우를 사용하여 음악의 임의의 부분에 대한 허밍 질의를 처리할 수 있도록 하였으며 효율적인 검색을 위해 중심을 일치시킨(center-aligned) 균일 스케일링을 제안하고 이 거리의 하한을 계산하는 하계 함수를 사용하여 탐색 공간(search space)을 효과적으로 줄여 더 빠르고 효과적인 유사 검색을 가능하도록 하였으며 실험을 통해 중심을 일치시킨된 균일 스케일링이 이전과 같은 검색 결과를 얻으면서도 효과적으로 검색함을 탐색 공간을 줄이는 가지치기 성능을 비교함으로써 보였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.317-323
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• 2008

21세기에 들어서면서 컴퓨터와 인터넷의 급격한 발달은 인류의 정치 경제 사회 문화의 모든 트랜드를 바꿔 놓고 있다고 해도 과언이 아니다. 그 결과 아날로그와 오프라인의 시대에서 이제는 디지털과 온라인의 시대로 우리의 생활 중심이 옮겨가고 있다. 자원이 부족한 우리나라는 정보화측면에서는 선진국으로 평가받고 있으며, 이를 토대로 CT(Cultural Technology)를 국가전략분야로 육성해나가고 있는 등 세계화시대 및 문화산업시대의 도래와 함께 부가가치의 창출을 극대화할 수 있는 분야로 주목하고 있다. 그러나 디지털 강국인 우리나라에서는 정보화촉진기본법 등의 제정을 통하여 자료의 디지털 화에만 엄청난 예산을 쏟아 붓고 있다. 하지만 이제는 그보다 더 중요한 정보의 활용 즉, 활성화 측면에 관심을 가져야 할 때이다. 활성화되지 못한 디지털 자료는 땅속에 묻혀있는 오래된 유물과도 같다. 본 연구에서는 디지털 전통문화 콘텐츠 중에서도 특히 디지털화가 가장 용이하며, 활성화의 가능성이 가장 높은 디지털 전통음악 콘텐츠의 활성화를 위한 문제점과 이를 해결하기 위한 방안을 모색하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.15-16
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• 2014

본 논문은 음악 치료 전문가들로부터 수집한 음악 치료 프로그램에 관한 지식과 규칙을 수집하여 구성된 전문가 시스템을 도입하여 자동으로 우울증 환자를 위한 추천 음악 치료 시스템을 설계하는 것을 목표로 한다. 제안한 시스템은 음악 치료 전문가들로부터 수집한 수많은 음악 치료 프로그램 중 뇌파 측정을 통해 환자에게 가장 효과적인 치료 프로그램을 선별하고 환자에게 제공하여 치료 효과를 극대화하는 것을 목표로 한다. 제안 시스템은 우울증 환자들의 치료를 위해 뇌파 측정을 입력 받아 분석하여 환자의 증상을 완화하고 치료 효과가 가장 좋은 음악 치료 프로그램을 선별하기 위해 인공 지능 기술들인 전문가 시스템(Expert System) 기법에 기반 한 음악 치료 시스템을 설계하고 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.769-771
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• 2005

In this paper we present a method of separating musical instrument sound sources from their monaural mixture, where we take the harmonic structure of music into account and use the sparseness and the overlapping NMF [1] to select representative spectral basis vectors which are used to reconstruct unmixed sound. A method of spectral basis selection is illustrated and experimental results with monaural mixture of voice/cello and trumpet/viola are shown to confirm the validity of our proposed method.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.131-134
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• 2021

The article conducted an interdisciplinary study of the concepts of innovation, innovation, innovative educational process, pedagogical innovation, management of an educational institution. Based on the study of psychological, methodological, philosophical literature, scientific approaches to the management of an innovative educational institution have been analyzed, and a strategy for its improvement has been determined. Purpose of the work: to study and characterize innovations in education, as well as in the education system.