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

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.

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.

자궁경부암에서 Glutathione S Transferase-π의 분포에 관한 연구

양승하,김의한,강영근,김대중,강상균 순천향의학연구소 1997 Journal of Soonchunhyang Medical Science Vol.3 No.1

Uterine cervical carcinoma is the most common malignant tumor of woman in korea. GST-π is multifunctional and is implicated to detoxication of drug and carcinogenesis. This enzyme is expressed in many tumors of human. Relationship between GST-π and drug resistence on uterine cervical carcinoma is not known, but condyloma accuminatum, CIN and invasive carcinoma express this isoenzyme, and it is regarded as a useful marker in preneoplasia and neoplasia. To observe the expression of GST-π in CIN and invasive carcinoma, we analyzed CIN 26 cases and invasive squamous cell carcinoma 61 cases by immunohistochemical stain using monoclonal mouse anti-human GST-π. The results are as followings: 1) The GST-π showed positive reactionin normal and metaplastic epthelium adjacent to CIN and invasive carcinoma in forty-three cases(62.3%) of sixty-nine cases. 2) The GST-π showed positive reactionin CIN in eighteen cases(69.2%) of twenty-six cases. Positive rates of CIN Ⅰ, CIN Ⅱ and CIN Ⅲ are 66.7%, 71.5%, 68.8%, respectively. 3) The GST-π showed positive reaction in invasive squamous cell carcinoma in fifty-one cases(83.6%) of sixty-one cases. Positive rates of microinvasive and invasive squamous cell carcinoma are 84.6% and 83.3%, respectively. According to cell type, keratinizing and nonkeratinizing type are 81.8% and 84.6%, respectively. Above results revealed that GST-π may be significance as a immuohistochemical marker in CIN and invasive SCC, and may be implicated in intrinsic resistance for anticancer drug.