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Elastic net 기반 특징 선택을 적용한 fNIRS 기반 뇌-컴퓨터 인터페이스 데이터셋 분류 정확도 평가
신재영,Shin, Jaeyoung 대한의용생체공학회 2021 의공학회지 Vol.42 No.6
Functional near-infrared spectroscopy-based brain-computer interface (fNIRS-based BCI) has been receiving much attention. However, we are practically constrained to obtain a lot of fNIRS data by inherent hemodynamic delay. For this reason, when employing machine learning techniques, a problem due to the high-dimensional feature vector may be encountered, such as deteriorated classification accuracy. In this study, we employ an elastic net-based feature selection which is one of the embedded methods and demonstrate the utility of which by analyzing the results. Using the fNIRS dataset obtained from 18 participants for classifying brain activation induced by mental arithmetic and idle state, we calculated classification accuracies after performing feature selection while changing the parameter α (weight of lasso vs. ridge regularization). Grand averages of classification accuracy are 80.0 ± 9.4%, 79.3 ± 9.6%, 79.0 ± 9.2%, 79.7 ± 10.1%, 77.6 ± 10.3%, 79.2 ± 8.9%, and 80.0 ± 7.8% for the various values of α = 0.001, 0.005, 0.01, 0.05, 0.1, 0.2, and 0.5, respectively, and are not statistically different from the grand average of classification accuracy estimated with all features (80.1 ± 9.5%). As a result, no difference in classification accuracy is revealed for all considered parameter α values. Especially for α = 0.5, we are able to achieve the statistically same level of classification accuracy with even 16.4% features of the total features. Since elastic net-based feature selection can be easily applied to other cases without complicated initialization and parameter fine-tuning, we can be looking forward to seeing that the elastic-based feature selection can be actively applied to fNIRS data.
컨테이너 선박 마스터 적하계획을 위한 심층강화학습 모형
신재영,류현승,Shin, Jae-Young,Ryu, Hyun-Seung 한국산업융합학회 2021 한국산업융합학회 논문집 Vol.24 No.1
In the Port Logistics system, Container Stowage planning is an important issue for cost-effective efficiency improvements. At present, Planners are mainly carrying out Stowage planning by manual or semi-automatically. However, as the trend of super-large container ships continues, it is difficult to calculate an efficient Stowage plan with manpower. With the recent rapid development of artificial intelligence-related technologies, many studies have been conducted to apply enhanced learning to optimization problems. Accordingly, in this paper, we intend to develop and present a Deep Q-Learning Network model for the Master Stowage planning of Container ships.
도라지와 감자 재배가 유출과 비점오염부하에 미치는 영향
신재영,신민환,최용훈,강현우,원철희,황문영,양희정,임경재,최중대,Shin, Jae Young,Shin, Min Hwan,Choi, Yong Hoon,Kang, Hyun Woo,Won, Chul Hee,Hwang, Moon Young,Yang, Hee Jung,Lim, Kyoung Jae,Choi, Joong Dae 한국농공학회 2012 한국농공학회논문집 Vol.54 No.6
An upland monitoring was conducted for about 4 years with respect to the water and quality of rainfall-runoff. The objective was to characterize of runoff and nonpoint source (NPS) pollution from a sandy field with 4.5 % in slope under balloonflower (2008-2010) and potato (2011) cultivation. Balloonflower was cultivated without any surface cover but potato was grown under plastic mulching. Runoff rate, EMCs and NPS pollution loads were estimated. The first flush effect was evaluated, and the correlation coefficient among the selected water quality indices were analyzed. Average rainfall size was higher by 2.3 mm when balloonflower was cultivated but average runoff rate was higher by 0.02 when potato was cultivated due to the plastic mulching. EMCs monitored from balloonflower field were higher than potato field except SS and TN, but all NPS pollution loads of potato field were 2.1~22.9 times greater than balloonflower field because of larger runoff volume. As a result of first flush effects, balloonflower and potato field were more influenced by increasing of accumulated rainfall and rainfall intensity rather than first flush. In the result of correlation analysis, there were no evident correlations between runoff and water quality indices. However, there were obvious correlations between SS and the other indices except TN. As a result of this study, it was thought that perennial balloonflower crop could help reduce runoff and NPS pollution loads but annual crop with plastic mulching increase them.
고려인삼류와 유사생약중 ginsenoside 및 질소화합물의 함량 비교
신재영,박희준,임상철,정원태,Shin, Jae-Young,Park, Hee-Juhn,Lim, Sang-Cheol,Jung, Won-Tae 한국생약학회 1996 생약학회지 Vol.27 No.1
To differentiate the quality of Korean ginseng from those of other habitats, the quantitative analysis of free amino acids(FAA) and total amino acids(TAA) in addition to ginsenoside Rb1 and Rg1 was carried out using amino acid analyzer and HPLC, respectively. FAA pattern in Korean ginseng was much different from that of Panax notoginseng. The difference in total content of FAA was also found that Korean ginseng contained 26.3-39.8mg/g while Panax notoginseng contained 6.5mg/g. This FAA content had a tendency to increase with the age of radix. The contents of FAA and TAA in Korean ginseng(6 years old) from Kumsan were shown to be the highest than other ginseng origins tested. The content in the 6 years Panax ginseng from China was about same with that of 4 years Korean ginseng of Kumsan. However, regarding to gisenoside Rbl and Rg1, which have been accepted as the characteristic components of Panax ginseng-Panax notoginseng showed considerably higher content than those of any other ginseng origin.
이동 단말기를 위한 OMA DM 기반 관리 에이전트 설계 및 구현
신재영,정용우,고광선,엄영익,Shin, Jae-Young,Jung, Young-Woo,Ko, Kwang-Sun,Eom, Young-Ik 한국정보처리학회 2008 정보처리학회논문지 C : 정보통신,정보보안 Vol.15 No.1
이동 단말기들은 이동통신 서비스의 발달과 더불어 다양한 멀티미디어 기능을 포함하는 컨버젼스 단말기로 진화하고 있으며, 사용자들로 하여금 다양한 서비스를 원활히 이용할 수 있도록 고성능화되어 가고 있다. 이러한 이동 단말기의 고성능화는 기기 자체에 대한 복잡한 설정을 요구하며, 잠재적인 H/W 또는 S/W 오류 발생 가능성과 설치 프로그램 간 충돌로 인하여 시스템 성능 저하 등의 문제를 가질 수 있다. 이러한 문제를 해결하기 위하여 단말기 관리에 대한 필요성이 대두되어, 이를 위한 기구로서 OMA(Open Mobile Alliance)가 결성되었다. OMA는 이동 단말기 관리의 표준으로 OMA DM(Device Management)을 제시하였다. 최근에 공개된 OMA DM v1.2는 이전 스펙보다 개선된 이동 단말기 관리 방법을 제공한다. 본 논문에서는 이동 단말기를 위한 OMA DM v1.2 기반 관리 에이전트에 대한 설계 및 구현 내용을 보인다. 이 에이전트는 C언어로 구현되었으며, 이동 단말기의 관리 객체를 획득, 변경 그리고 추가하기 위해 TNDS(Tree and Description Serialization)를 사용함으로써 적은 양의 네트워크 트래픽으로 효과적인 단말기 관리가 가능하다. With the rapid advancement of mobile communication, mobile devices are evolving into convergence devices with various multimedia capabilities. But, high performance of devices demands complicated settings, and thus contains latent error possibilities, and poor system performance caused by the collision of different softwares. To solve these problems, device management becomes an important issue. Open Mobile Alliance(OMA) developed OMA DM(Device Management), which is a device management standard. Recently released OMA DM v1.2 provides improved mobile device management methods compared to earlier versions. This paper introduces design and implementation of OMA DM v1.2 based management agent. By using Tree and Description Serialization(TNDS) for acquiring, adding, and editing objects in the mobile devices, it provides more effective device management with small amount of network traffic.
신재영(Jae-Young Shin),박창우(Chang-Woo Park),권순홍(Sun-Hong Kwon),이상범(Sang-Beom Lee),정장영(Jang-Young Chung) 대한조선학회 2012 대한조선학회 학술대회자료집 Vol.2012 No.5
This study presents an experimental result of hydro-elasticity effect on slamming, Three different plates have been tested with three different deadrise angles. The pressure and strains were measured and analyzed for each tests. It was shown that the measured pressures and strains were affected by the thickness of the plates. Therefore the effect of hydro-elasticity must be considered when slamming analysis is carried out.
고랭지 밭에서 경사도의 차이에 의한 비점오염물질 유출특성
신재영 ( Jaeyoung Shin ),신민환 ( Minhwan Shin ),최용훈 ( Yonghun Choi ),황문영 ( Moonyoung Hwang ),양희정 ( Heejung Yang ),최중대 ( Joongdae Choi ) 한국농공학회 2012 한국농공학회 학술대회초록집 Vol.2012 No.-
밭에서 발생하는 비점오염물질은 강우조건(강우량, 강우강도), 토양, 시비량, 경사도 등에 따라 다양한 형태로 나타난다. 따라서 밭에서 발생하는 비점오염물질의 효율적인 관리를 위해서는 영향인자에 대한 자세한 분석이 선행되어야 한다. 이에 본 연구에서는 경사도가 다른 고랭지 밭 두 지점을 선정하여 비점오염물질 유출특성에 대해 파악하고 효율적인 관리를 위한 기초자료를 제공하고자 하였다. 연구지점은 강원도 평창군 대관령면에 위치하고 있으며 두 지점의 경사도는 각각 4.9%와 16.8%로 나타났다. 연구기간은 2011년 4월부터 10월까지 유출이 발생한 8회의 강우사상에 대해 모니터링을 수행하였다. 연구 결과 유출이 발생한 강우량의 범위는 42.0 ~ 293.5 mm이며 강우강도는 1.03 ~ 6.31mm/hr의 범위를 나타냈다. 유출률은 경사도 4.9%의 밭에서 0.05 ~ 0.54(평균 0.31)이며 경사도 16.8%의 밭에서는 0.26 ~ 0.57(평균 0.42)의 범위를 나타냈다. 또한 채취된 수질 시료를 이용하여 EMC를 산정한 결과 경사도 4.9%의 밭에서 SS 762.1 ~ 3,155.1(평균 1,956.8) mg/L, BOD5 4.5 ~ 14.9(평균 9.6) mg/L, CODCr 16.1 ~ 62.0(평균 42.6)mg/L, CODMn 7.5 ~ 43.2(평균 17.9) mg/L, TN 9.602 ~ 21.021(평균 15.8) mg/L, TP 2.544 ~ 6.763(평균 4.634) mg/L로 나타났으며, 경사도 16.8%의 밭에서는 SS 79.2 ~ 2,015.5(평균 938.5) mg/L, BOD5 6.0 ~ 64.7(평균 14.6) mg/L, CODCr 21.9 ~ 75.4(평균 53.2) mg/L, CODMn 4.3 ~ 33.1(평균 23.2) mg/L, TN 10.937 ~ 46.295(평균 24.9) mg/L, TP 2.611 ~ 11.197(평균 5.358) mg/L으로 나타났다. 두 지점의 유출률은 경사도와 비례하여 증가하였으며, SS를 제외한 모든 수질항목의 EMC 값도 증가한 것으로 나타났다. SS의 경우에는 경사도 16.8%의 밭이 4.9%의 밭에 비해 낮은 값으로 나타났는데 이는 등고선 방향으로 경운을 하여 토양 입자의 유실이 적었으며 16.8%의 밭에 설치되어 있는 자연배수로의 영향으로 판단된다. 본 연구 결과와 같이 동일한 강우조건의 밭이라 할지라도 경사도에 따라 유출률에 차이를 보이게 되고 유출률의 차이는 비점오염물질의 농도에 영향을 미치는 것으로 나타났다. 따라서 밭에서 발생하는 비점오염물질의 효율적인 관리를 위해서는 장기적인 모니터링을 통해 영향인자에 대한 파악이 필수적이라 판단된다.