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군집 별 표준곡선 매개변수를 이용한 치밀오일 생산성 예측 순환신경망 모델
한동권(Dong-kwon Han),김민수(Min-soo Kim),권순일(Sun-il Kwon) 한국정보통신학회 2021 한국정보통신학회 종합학술대회 논문집 Vol.25 No.2
치밀오일 미래 생산성 예측은 잔류오일 회수량 및 저류층 거동 분석을 위해 중요한 작업이다. 일반적으로 석유공학적 관점에서 감퇴곡선법을 이용하여 생산성 예측이 이루어지는데, 최근에는 데이터기반의 머신러닝 기법을 이용한 연구도 수행되고 있다. 본 연구에서는 딥러닝 기반 순환신경망과 LSTM, GRU 알고리즘을 이용하여 미래 생산량 예측을 위한 효과적인 모델을 제안하고자 한다. 입력변수로는 치밀오일 생산 시 산출되는 오일, 가스, 물과 이와 더불어 다양한 군집분석을 통해 산출된 표준곡선이 주요 매개변수이고, 출력변수는 월별 오일 생산량이다. 기존의 경험적 모델인 감퇴곡선법과 순환신경망 모델들을 비교하였으며, 모델의 예측성능을 향상시키기 위해 하이퍼파라미터 튜닝을 통해 최적 모델을 도출하였다. Predicting future productivity of tight oil is an important task for analyzing residual oil recovery and reservoir behavior. In general, productivity prediction is made using the decline curve analysis(DCA). In this study, we intend to propose an effective model for predicting future production using deep learning-based recurrent neural networks(RNN). LSTM, and GRU algorithms. As input variables, the main parameters are oil, gas, water, which are calculated during the production of tight oil, and the type curve calculated through various cluster analyzes. the output variable is the monthly oil production. Existing empirical models, the DCA and RNN models, were compared, and an optimal model was derived through hyperparameter tuning to improve the predictive performance of the model.
Cyclophosphamide로 빈혈을 유도한 쥐에서 가미육미환의 조혈효과
권순일 ( Sun-il Kwon ),박갑주 ( Kap-joo Park ) 한국고등직업교육학회 2007 한국고등직업교육학회논문집 Vol.8 No.3
항암제 치료에서 비롯된 조혈조직의 일반적 기능저하를 경감시키는 항빈혈제의 개발이 요구되고 있다. 본 연구에서는 실험용쥐를 이용하여 가미유기미환의 조혈효과를 생체내 실험으로 시험하였다. 시클로포스파미드를 쥐의 복막내에 1회 주사하여 골수기능저하를 유도하였다. 가미육미환 추출액은 시클로포스파미드 주사후 8일 경과 시점에서 3일 동안 경구투여하였다. 체중, 장기중향, 생화학적 검사치, 혈액학적 검사치를 측정하엿다. 시클로포스파미드 처치군에서 적혈구수, 헤모글로빈, 적혈구용적율이 감소되는 빈혈현상이 관찰되었다. 가미육미환 처치군에서 적혁구, 헤모글로빈, 적혈구용적율이 대조군에 비하여 경미하게 상승하였으며 혈소판의 수준도 가미육미환 처치군에서 상승하였다. 이러한 결과는 빈혈을 유도한 쥐 모델에서 가치육미환 부분적으로 효과가 있다는 증거를 제시한다.
유전질환의 진단에 이용되는 Multiplex ligation-dependent probe amplification(MLPA)
권순일 ( Sun-il Kwon ) 한국고등직업교육학회 2011 한국고등직업교육학회논문집 Vol.12 No.3·4
MLPA is a variation of the PCR that allows multiple targets to be amplified with only single primer pair. MLPA is a simple, high throughput and easy to perform methods detecting various genetic abnormalities with up to 40 sequences in a single reaction. This technique is based on semi quantitative principle especially useful for the detection of copy number variation of DNA. Modified versions of MLPA like MS-MLPA and RT-MLPA were developed for DNA methylation profiling, and mRNA profiling respectively. Array MLPA expanded the limit of probe numbers thus increased target sequences of a single reaction. In this short review the latest trend in MLPA-related research and the prospect of MLPA application were discussed.
맞춤의학으로 향해 가는 걸음 -개인 유전체 분석 서비스-
권순일 ( Sun-il Kwon ) 한국고등직업교육학회 2013 한국고등직업교육학회논문집 Vol.14 No.2
It is the small but not ignorable differences in the nucleotide sequence of our genome that influence our individual looks, physiology, disease susceptibility, response to drugs and other numerous characteristics. Thanks to the rapid development of next generation sequencer (NGS), the cost to determine whole human genome nucleotide sequence has been dropped tremendously and now is approaching to US$ 1,000 per person. As a consequence the interest in personal genomics is sharply increasing which will use the knowledge of individual genetic variations to personal diagnosis and treatment in medicine. The personal genome analysis providers like 23 and Me<sup>®</sup> and de CODE me<sup>®</sup> offers the information on the disease susceptibilities, drug responses, ancestry and other genetic traits. We are still the early stage of personalized medicine. However, the rapidly expanding personal genome analysis is building an important infrastructure to realized it. In this review, the progress and latest trend in personal genome analysis was studied. Various issues were handled like advent of new NGS, target therapeutic development for personalized medicine, and intellectual properties of human genome. The pending issues and future perspectives of personal genome analysis were also discussed.
RNAi 현상: 생명현상의 규명과 질병정복을 위한 새로운 도구
권순일 ( Sun-il Kwon ) 한국고등직업교육학회 2009 한국고등직업교육학회논문집 Vol.10 No.3
In RNA interference (RNAi) technique, dsRNAs introduced into a cell modify the activity of the specific target gene. RNAi has the potential to revolutionize the field of functional genomics. The selective and robust effect of RNAi on gene expression makes it a valuable research tool, both in cell culture and in living organisms. RNAi technique will be a promising tool in biotechnology and medicine. In this study, the components, mechanism of action and biological functions of RNAi pathway was discussed. The key technology like gene knockdown strategy and siRNA delivery were considered. The latest advancement in the application of RNAi in biotechnology and therapeutic development including gene analysis and drug target identification was reviewed.
권순일 ( Kwon Sun-il ),이상호 ( Lee Sang-ho ),오상훈 ( Oh Sang-hoon ),유홍식 ( Ryu Hong-sik ),박진삼 ( Park Jin-sam ) 한국구조물진단유지관리공학회 2008 한국구조물진단유지관리공학회 학술발표대회 논문집 Vol.12 No.1
As an energy absorption device in the base isolation system for dissipating the earthquake input energy, dampers also need a high degree of deformation capacity. As such, U-shaped steel damper has been developed using SN490B which has better deformation capacity than mild steel such as SS400. In order to achieve the goals, this research is conducted in two different stages. First, demonstrate the excellent deformation capacity of high toughness steel through comparative study with SS400. Second, suggest four types for U-shaped dampers based on the stress distribution that obtained from analytical study using computer program ANSYS 9.0.
맞춤의학시대를 열어갈 질환관련 SNP 연구의 최근 동향
권순일 ( Sun-il Kwon ) 한국고등직업교육학회 2009 한국고등직업교육학회논문집 Vol.10 No.1
A single-nucleotide polymorphism (SNP) is a single nucleotide variation in a genetic sequence that occurs at appreciable frequency in the population. Genome-wide association studies are to identify genes involved in human disease by searching SNPs that occur more frequently in people with a particular disease than in people without the disease. In this way we can pinpoint genes that may contribute to a person’s risk of developing a certain disease. SNP may also be associated with absorbance, response and clearance of therapeutic agents. In the future, the most appropriate drug for an individual could be determined in advance of treatment by analyzing a patient’s SNP profile with strategic personalized medicine. In this short review, we discussed historical background of disease-associated SNP detection, advance in SNP-related technologies, latest accomplishment and its clinical significance in SNP research in association with common diseases, and prospect in the future research.