격려인사

강영근,Gang, Yeong-Geun 한국과학기술단체총연합회 1990 과학과 기술 Vol.23 No.1

Ocean Image Formation Algorithm Using Altimeter Data for Next Generation Satellite SAR

강영근,김철기,박성욱 한국전자파학회 2022 Journal of Electromagnetic Engineering and Science Vol.22 No.2

Synthetic aperture radar (SAR) obtains two-dimensional images of the Earth’s surface. Spatial resolution is one of the most important factors in evaluating SAR performance. Therefore, high operating frequencies are preferred for obtaining high resolution images. In fact, Ku-band and Ka-band are used in the automobile SAR (Auto-SAR) and the aircraft SAR (Airborne-SAR). However, the operating frequencies of the satellite SAR (Spaceborne-SAR) are limited to the X-band because of the wide Doppler frequency band caused by the satellite’s high velocity. To overcome this frequency limitation in satellite SAR, we propose a low-complexity SAR algorithm that forms images of the ocean using satellite altimeter data with an operating frequency of the Ku-band (13.575 GHz). The algorithm requires the burst mode pulse transmission technique frequently used in SAR altimeters. To validate the proposed algorithm as being suitable for ocean image formation, point target simulation and analysis are performed, and some quantitative results are provided.

유방선암의 유형에 따른 c-erbB-2, p53, bcl-2, 그리고 c-myc의 발현

강영근,조현득,오미혜,김의한,양승하 순천향의학연구소 2006 Journal of Soonchunhyang Medical Science Vol.12 No.2

Breast carcinoma is a common malignant tumor in female of the korea. Various oncogenes have been found in malignant tumor cells. There were many reports or correlation between the prognosis of patients and c-erbB-2, p53, bcl-2, and c-myc, but is controversial. We performed immunohistochemical stain for above antigenic protein for 80 cases of breast carcinoma and evaluated expression rate of each antigens, and we compared their correlation with prognosis of patients. The results were as follow; 1) The expression rates in breast carcinoma was c-erbB-2 80%, p53 56.3%, bcl-2 51.3% and c-myc 53.8%. 2) c-erbB-2 showed no significant difference according to histologic types, grade, and lymph node metastatic status of breast carcinoma. 3) p53 showed higher expression rate in metastatic cases compared to non-metastatic cases, and it showed higher expression rate according to increasing of grade without significant difference. There is no significant difference according to types. 4) The expression rate of bcl-2 in breast carcinoma be lowed according to increasing of grade. There was no significant difference according to types, side, and status of lymph node metastasis. 5) c-myc showed higher expression rate in non-metastatic cases compared to and metastatic cases, and it showed decreasing expression rate according to increasing of grade without significant difference. There is no significant difference according to types. 6) p53 and bcl-2 in breast carxinoma showed reverse corre1ation(P < 0.05), and bc1-2 and c-myc showed close correlation without statiscally significance. Above results showed that p53 may be related to poor prognosis of the patients and c-myc may be related good prognosis in breast carcinoma. There was reverse correlation between p53 and bcl-2 and bcl-2 and c-myc may be correlated closely. c-erbB-2 and bcl-2 showed no interrelation to prognosis.

A Study on the Feasibility of Stop-and-Go Approximation in FMCW SAR

강영근,정대환,신구환,김철기,박성욱 한국전자파학회 2022 Journal of Electromagnetic Engineering and Science Vol.22 No.3

Synthetic aperture radar (SAR) specializes in capturing two-dimensional images of Earth’s surface. Because satellites or aircraft have mainly been used as SAR platforms, pulse radar systems with high peak transmitted power have been preferred for long-range detection. However, because systems based on pulse radar are generally too heavy and expensive, lightweight and low-cost frequency-modulated continuous-wave (FMCW) radar systems have attracted increasing interest, and many studies on FMCW SAR signal processing are being conducted. The pulse duration of FMCW radar is considerably longer than that of pulse radar. Therefore, it is necessary to determine whether stop-and-go approximation (SAG) is still valid for FMCW radar. If SAG is not applicable, an additional, time-consuming range cell migration correction process is required. In this study, the conditions under which SAG can be applied to FMCW SAR were analyzed. Moreover, Ku-band FMCW SAR field tests were conducted to experimentally validate the feasibility of SAG. Several quantitative parameter values demonstrating the advantages of applying SAG were identified.

한국 피리 종류와 연주법

강영근 이화여자대학교 음악연구소 2007 하계 국제학술회의 자료집 Vol.2007 No.-

인공지능을 활용한 음악의 화성 생성 연구

강영근 사단법인 인문사회과학기술융합학회 2019 예술인문사회융합멀티미디어논문지 Vol.9 No.11

In the use and fusion of artificial intelligence pursued by the Fourth Industrial Revolution, the arts sector also recognizes that it can not avoid the use of artificial intelligence in the structural aspect of the music industry. Among the various methods of artificial intelligence utilization through this study, the study of this paper examined the research on the generation of Mars, The generation process of Mars uses machine learning to algorithm the relationship between melody and chord. Through this process, a study was conducted to derive the qualitative four-chord and diminish chord. The results of the study are as follows. First, since the chords of four chords are generated compared to the original song consisting of only three chords, various musical colors of harmony can be expressed. Second, the diminish chords applied gradually between the whole chromatic chords have the effect of diversifying the flow of music. Finally, when marking the generated chord on the score and analyzing the progress, it was confirmed that the generated chords can be usefully used in the arrangement of actual music based on the rules. 4차 산업혁명이 추구하는 인공지능의 활용과 융합에 있어 예술 분야 또한 음악 산업의 구조적 측면에서 인공지능의 활용을 피해갈 수 없음을 인지한다. 이를 통해 살펴본 인공지능 활용의 여러 방안 중 본 논문의 연구는 음악의 편곡에 있어 중요히 여겨지는 화성 생성의 연구에 관하여 살펴보았으며, 화성의 생성 과정은 머신러닝을 활용하여 멜로디와 코드의 관계를 알고리즘 하였다. 이러한 과정을 통해 온 음계적 4화음 코드와 디미니쉬 코드를 도출하는 연구가 진행되었고, 연구의 결과는 다음과 같다. 첫째, 3화음만으로 구성된 원곡에 비해 4화음의 코드가 생성됨으로 화성의 다양한 음악적 색채를 표현 할 수 있게 되었다. 둘째, 온 음계적 코드의 사이에 경과적으로 적용된 디미니쉬 코드를 통해 음악의 진행상 그 흐름이 더욱 다양화되는 효과를 가질 수 있게 되었다. 마지막으로, 생성된 코드를 악보에 표기하고 진행을 분석하였을 때, 생성된 코드들은 화성학적 규칙에 의거하여 실제 음악의 편곡에 유용하게 사용될 수 있음을 확인하였다.

대중음악 화성 편곡에 활용되는 인공지능 기술 연구

강영근(Kang, Young Gun) 한국대중음악학회 2021 대중음악 Vol.- No.27

현재 대중음악 산업에서는 인간과 인공지능의 협업을 통해 음악 제작이 이루어지며 이러한 결과물은 상용화가 진행되고 있다. 이는 인공지능이 가지는 기계적 창의성을 통해 인간이 가진 예술적 창의성의 가치를 효율적으로 확장하는것이며, 나아가 인간과 인공지능의 협업 구조를 통해 새로운 창작물이 표현되는 과정인 것이다. 연구자는 4차 산업혁명 시대의 이 같은 현상을 견지하여 인간과인공지능의 협업 구조에서 실제적인 창의적 상호 협력 가능성을 심도 있게 고찰하기 위해 인공지능 기술을 활용해 대중음악을 편곡하는 연구를 진행하였다. 연구의 진행을 위해 대중음악 화성 편곡에 적합한 새로운 알고리즘을 개발하고적용하였으며 이를 통해 다음과 같은 연구 결과를 확인하였다. 첫째, 음악의 화성학을 인공지능 알고리즘을 통해 데이터로 재구성하여 편곡에 적용하는 것이 가능하였으며 둘째, 대중음악 화성 편곡의 특징을 알고리즘을 통해 코드로 구현하고체계화하는 것이 가능하였다. 마지막으로 급변하는 대중음악 산업의 양상을 견지하여 인간과 인공지능의 창의적 협업 체계를 여러 형태로 확장할 수 있음을 확인한 것에 그 의미를 둔다. Currently in the popular music industry music is produced through cooperation between humans and artificial intelligence, and these results are commercialized in the popular music industry. This effectively expands the value of human artistic creativity through the mechanical creativity of artificial intelligence, and further expresses new creations through the structure of collaboration between humans and artificial intelligence. The researcher carried out a study of arranging popular music using artificial intelligence technology in order to in-depth examine the possibility of practical creative mutual cooperation in the cooperative structure of human and artificial intelligence in keeping with this phenomenon in the era of the 4th industrial revolution. To proceed with the research, a new algorithm suitable for popular music harmony arrangement was developed and applied, and the following research results were confirmed through this. First, it was possible to reconstruct the technology of music into data through an artificial intelligence algorithm and apply it to the arrangement. Second, it was possible to implement and systematize the characteristics of popular music harmony arrangements as chord through the algorithm. Lastly, it is meaningful to confirm that the creative cooperation system between humans and artificial intelligence can be expanded in various forms by maintaining the aspect of the rapidly changing popular music industry.

인공지능을 활용한 음악 편곡 교육 콘텐츠 개발 연구

강영근(Kang YoungGun) 한국문화융합학회 2021 문화와 융합 Vol.43 No.2

본 연구는 4차 산업혁명 시대에 요구되는 인공지능 기술을 음악 편곡 교육에 적용하여 이를통해 교육과 기술을 둘러싼 여러 가지 접근과 사고의 과정을 효과적으로 분석하고 확인하였다. 이를 위해 음악 이론을 인공지능 알고리즘에 적용하여 연구를 진행하였으며 이렇게 진행된 연구는 4차 산업혁명 시대가 원하는 인공지능의 기술이 음악 이론에 활용될 수 있음을 확인하였다. 연구를 통해 확인된 바에 의하면 첫째, 인공지능을 활용한 교육 방식은 학습자 개인이 가지고있는 사고의 과정에 맞는 개별교육의 일반화를 가능하게 하여 기존의 교육 방식보다 효과적으로음악 이론이 전달되는 것을 확인하였으며 둘째, 이를 바탕으로 새로운 학습 설계의 구성이 가능하였고 셋째, 인공지능 기술을 활용한 토론 형식의 수업을 진행하고 설문 조사를 통해 확인한 바에의해 4차 산업혁명에서 요구하는 기술적, 융합적 사고 중심의 교육이 가능한 것을 확인하였다. 본 연구는 미래 사회가 요구하는 음악 교육에 인공지능 기술을 적용하여 그 방향을 제시하고선도적 균형 교육에 높은 효과를 가져왔음을 확인한 것이라 할 수 있다. This study applied artificial intelligence technology required in the era of the 4th industrial revolution to music Arrangement education, and through this, effectively analyzed and confirmed various approaches and thought processes surrounding education and technology. To this end, a study was conducted by applying music theory to artificial intelligence algorithms, and the research conducted in this way confirmed that the technology of artificial intelligence desired in the era of the 4th industrial revolution can be used in music theory. Research has confirmed First, it was confirmed that the education method using artificial intelligence enables the generalization of individual education suitable for the individual learner’s thinking process, and thus the music theory is transmitted more effectively than the existing education method. Second, it was possible to construct a new learning design based on this Third, it was confirmed that education based on technical and convergent thinking required by the Fourth Industrial Revolution was possible by conducting a discussion-type class using artificial intelligence technology and confirmed through a survey. This study suggests the direction of applying artificial intelligence technology to music education demanded by the future society and confirms that it has had a high effect on leading balanced education.

전경의 서혜부 탈장에 대한 임상적 고찰

강영근(Yeung Kun Kang),박동선(Dong Seon Park),강진국(Jin Kook Kang) 대한외과학회 1985 Annals of Surgical Treatment and Research Vol.29 No.3

해양시료 방사성스트론튬 신속분석법 연구

정원선,이경진,강영근 (사)한국방사선산업학회 2022 방사선산업학회지 Vol.16 No.3

The experiment was conducted to minimize the methods and chemical procedures ofthe existing maritime specimen radiostrontium analytic method. Fish specimen among the maritimespecimens were selected, and extraction chromatography and carbonate extraction chromatographyamong the chemical separation stages were executed. 85Sr radioactive standard was used for themeasurement of the retrieval rate, and the retrieval rates of extraction chromatography and carbonateextraction chromatography were 85.3±0.7% and 95.0±1.7%, respectively. The verification of eachanalytic method was executed by using 90Sr radioactive standard. As the results of verification, bothextraction chromatography and carbonate extraction chromatography were found to be within ±5%of the corresponding standards. Time taken for preliminary processing, including the ashing time, foreach analytic method was approximately 2 days and 2 hours as well as 2 days and 6 hours for extractionchromatography and carbonate extraction chromatography, respectively. It is anticipated that it can beutilized as the rapid radiostrontium analytic method in the future since it is possible to reduce the timetaken for the analysis to approximately 1/5~1/6 of that for the fuming nitric acid method, and to executethe analysis of more specimens within a short period of time.