• Journal of the Korean Data Analysis Society
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• 제20권6호
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• pp.2721-2731
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• 2018

This study purposes to derive the predictive model for the cold tolerance of Brassica napus, using the data collected in the Tree Breeding Lab of Gyeongsang National University during July and August of 2016. Three Brassica napus samples were treated at each of low temperatures from $4^{\circ}C$ to $-12^{\circ}C$ by decrement of $4^{\circ}C$, step by step, and electrolyte leakage levels were measured at each stage. Electrolyte leakages were observed tangibly from $-4^{\circ}C$. We tried to fit the six nonlinear regression models to the electrolyte leakage data of Brassica napus: 3-parameter logistic model, baseline logistic model, 4-parameter logistic model, (4-1)-parameter logistic model, 3-parameter Gompertz model, and (3-1)-parameter Gompertz model. The baseline levels of the electrolyte leakage estimated by these models were 4.81%, 4.07%, 4.19%, 4.07%, 4.55%, and 0%, respectively. The estimated median lethal temperature, LT50, were $-5.87^{\circ}C$, $-6.31^{\circ}C$, $-6.05^{\circ}C$, $-6.35^{\circ}C$, $-4.98^{\circ}C$, and $-5.15^{\circ}C$, respectively. We compared and discussed the measures of goodness of fit to select the appropriate nonlinear regression model.

• 산업공학
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• 제12권2호
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• pp.193-204
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• 1999

Development of high technology especially in telecommunication and precise weapon systems will impact the future battle field environment. So it is not difficult to anticipate the environment of military command and control system will be changed rapidly. Considering these future battle field environment, military needs automated C4I (Command, Control, Communication, Computer and Intelligence) system, namely real time decision support system which is combined high technologies. Most of advanced countries have been studied and developed these kinds of systems and already applied these systems in real military operations. In order to take a military initiative in Korea peninsula it is essential to catch up with this trend and procure C4I system. The purpose of this research is to present the method and the direction of optimal C4I system development model. First we survey the related theory about C4I systems. Second we present the conceptual framework for C4I system concept development. Third we model the system using Timed Petri-Net and perform simulation. Finally we analyze the through-put time and suggest alternatives. If we model using the real organization structure, operational tasks and various situations then optimal C4I system would be developed.

• Advances in environmental research
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• 제3권4호
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• pp.367-377
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• 2014

In this study, we investigated a life cycle assessment (LCA) of six roof-waterproofing systems [asphalt (C1), synthetic polymer-based sheet (C2), improved asphalt (C3), liquid applied membrane (C4), Metal sheet with asphalt sheet (N1), and liquid applied membrane with asphalt sheet (N2)]for reinforced concrete building using an architectural model. To acquire accurate and realistic LCA results, minimum units of material compositions for life cycle inventory and real data for compositions of waterproofing materials were used. Considering only materials and energy demands for waterproofing systems per square meter, higher greenhouse gas (GHG) emissions could be generated in the order of C1 > N2 > C4 > N1 > C2 > C3 during construction phase. However, the order was changed to C1 > C4 > C3 > N2 > N1 > C2, when the actual architecture model was applied to the roof based on each specifications. When an entire life cycle including construction, maintenance, and deconstruction were considered, the amount of GHG emission was in the order of C4 > C1 > C3 > N2 > C2 > N1. Consequently, N1 was the most environmental-friendly waterproofing system producing the lowest GHG emission. GHG emissions from maintenance phase accounted for 71.4%~78.3% among whole life cycle.

• 수산해양기술연구
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• 제27권4호
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• pp.278-285
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• 1991

현재 사용되고 있는 전개판의 성능을 보다 향상시키기 위한 방안으로 비행기의 익이론에 기초를 두고, 전개판의 경계층을 흡입하거나 제거하는 방법 중에서 역류역을 흡입하는 슬롯(slot)을 전개판에 적용하였다. 성능분석을 위해서 단순만곡형전개판에 슬롯이 없는 기준형과 슬롯의 위치에 따른 5종의 모형전개판에 대하여 성능실험과 가시화실험을 통하여 그 성능과 유체역학적 특성을 비교해 보았다. 실험결과를 요약하면 다음과 같다. \circled1 최대전개력계수는 0.6C, 0.4C, 기준형, 0.8C, 0.2C의 순으로, 슬롯의 위치 0.6C인 전개판이 영각 27$^{\circ}$에서 1.59로 가장 우수하였다. \circled2 항력계수는 슬롯의 위치가 후연으로 갈수록 감소하며, 슬롯을 준 경우가 기준형보다 작게 나타났다. \circled3 양항비는 0.6C, 0.4C, 0.8C, 0.2C, 기준형의 순으로 모두 기준형보다 높게 나타났다. \circled4 0.2C, 0.4C 및 0.6C의 전개판이 기준형과 0.8C의 전개판보다 박리가 후연에서 발생하였다. \circled5 전개판의 전.후면에서 유속차는 영각 15$^{\circ}$~25$^{\circ}$까지는 점차 증가하고, 30$^{\circ}$에서는 감소하는 것으로 나타났다. \circled6 박리역의 크기는 0.6C의 전개판에서 가장 적게 나타났다.

• 한국군사과학기술학회지
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• 제25권5호
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• pp.513-521
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• 2022

This study deals with an AI architecture model for collecting battlefield data using the tactical C4I system. Based on this model, the artificial staff can be utilized in tactical echelon. In the current structure of the Army's tactical C4I system, Servers are operated by brigade level and above and divided into an active and a standby server. In this C4I system structure, the AI server must also be installed in each unit and must be switched when the C4I server is switched. The tactical C4I system operates a server(DB) for each unit, so data matching is partially delayed or some data is not matched in the inter-working process between servers. To solve these issues, this study presents an operation concept so that all of alternate server can be integrated based on virtualization technology, which is used as an source data for AI Meta DB. In doing so, this study can provide criteria for the AI architectural model of the ground tactical echelon.

• Asian Pacific Journal of Cancer Prevention
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• 제15권6호
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• pp.2889-2892
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• 2014

Death receptor 4 (TRAIL-R1 or DR4) polymorphisms have been associated with cancer risk, but findings have been inconsistent. To estimate the relationship in detail, a meta-analysis was here performed. A search of PubMed was conducted to investigate the association between DR4 C626G, A683C and A1322G polymorphisms and cancer risk, using odds ratios (ORs) with 95% confidence intervals. The results suggested that DR4 C626G and A683C polymorphisms were indeed associated with cancer risk (for C626G, dominant model, OR 0.991, 95%CI 0.866-1.133, p=0.015; for A683C, additive model, OR=1.140, 95%CI: 0.948-1.370, p=0.028; dominant model, OR=1.156, 95%CI: 0.950-1.406, p=0.080) in the Caucasian subgroup. However, the association was not significant between DR4 polymorphism A1322G with cancer risk in Caucasians (For A1322G, additive model: OR 1.085, 95%CI 0.931-1.289, p=0.217; dominant model: OR 1.379, 95%CI 0.934-2.035, p=0.311; recessive model: OR 1.026, 95%CI 0.831-1.268 p=0.429.). In summary, our finding suggests that DR4 polymorphism C626G and A683 rather than A1322G are associated with cancer risk in Caucasians.

• 한국정보시스템학회지:정보시스템연구
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• 제25권4호
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• pp.63-85
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• 2016

Purpose While the popularity of C2C auction platforms such as eBay is gradually decreased, this domain is still undermined to explain online bidding behaviors. Online bidders sometimes engage in impulsive bidding due to some of the online auction characteristics. Therefore, this study develops and tests a model of the impulsive bidding exhibited by online bidders in C2C auction platforms. Based on S-O-R framework, our model posits that both perceived time-pressure and competition intensity affect cognitive absorption which ultimately influences the impulsive bidding. Design/methodology/approach This study collected survey data from 214 C2C auction participants, who have prior experience on impulsive bidding and tested both measurement model and structural model by using CB-SEM (covariate-based structural equation modelling) technique. In this study, by using AMOS 20.0, we tested the measurement model for its overall fit, item reliability, and validity and further conducted the structural model to test our proposed hypotheses. Findings Based on our results, we found that perceived tim-pressure and competition intensity were positively related to cognitive absorption. We also found that the cognitive absorption was positively associated with impulsive bidding behavior. In this study, by developing our research model in S-O-R framework, we provide an alternative theoretical mechanism to describe online impulsive bidding behavior.

• 한국정보시스템학회지:정보시스템연구
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• 제13권2호
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• pp.173-193
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• 2004

B2C EC has two kinds of perspectives such as technology-oriented and trust-oriented perspectives. As lots of fraud damages on the B2C EC have been reported every day, the trust-oriented perspective receives lots of attention. In this study, an integrative typology for developing and validating trust measures for B2C EC proposed by McKnight et al.(2002a) and McKnight and Chevany(2002b) has been used for trust-oriented perspective, and the TAM(technology acceptance model) model proposed by Fred Davis in 1985 has been used for technology-oriented perspective. An research model had been developed by using the 4 factors of an integrative typology and 5 factors of the TAM model such as perceived usefulness, perceived ease of use, trust beliefs, intention, and actual transaction. All 13 hypotheses had been proposed from this research model and tested by field study. 12 hypotheses, including the 4 f actors of an integrative typology as antecedents on trust beliefs, were significant, whereas the hypothesis 5 on the relationship between structural assurance and perceived ease of use was insignificant. Structures on B2C EC like guarantees, regulations, promises, legal recourse, or other procedures seemed to be difficult to B2C EC customers. Therefore, these structures should be developed more easier to B2C EC customers.

• 전자공학회논문지
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• 제52권4호
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• pp.49-55
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• 2015

기존의 BSIM4 모델과 다이오드를 사용한 BSIM4 Macro 모델의 바이어스 종속 게이트-드레인 오버렙 캐패시턴스 $C_{gdo}$ 시뮬레이션의 부정확성에 대하여 자세히 분석하였다. 이러한 Macro 모델은 기존의 BSIM4 모델보다 더 정확하지만 선형영역에서 사용될 수 없음을 발견하였다. 기존 모델들의 부정확성을 제거하기 위해서 물리적인 바이어스 종속 $C_{gdo}$ 모델 방정식을 사용한 새로운 BSIM4 Macro 모델을 제안하였고 전체 바이어스 영역에서 유효함을 입증하였다.

• 한국전자파학회논문지
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• 제12권6호
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• pp.890-898
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• 2001

Modified Materka-Kacprzak 대신호 MESFET(Metal Semiconductor Field Effect Transistor) model을 사용하여 4H-SiC MESFET의 대신호 모델링을 수행하였다. Silvaco사의 소자 시뮬레이터인 ATLAS를 사용하여 4H-SiC MESFET 소자 시뮬레이션을 수행하고, 이 결과를 modified Materka 대신호 모델을 사용하여 모델링 하였다. 시뮬레이션 및 모델링 결과는 -8 V의 pinch off 전압과 $V_{GS}$ =0 V, $V_{DS}$ =25 V에서 $I_{DSS}$270 mA/mm, $G_{m}$ =52.8 ms/mm를 얻을 수 있었고, 전력 특성 시뮬레이션을 통해 2GHz, $V_{GS}$ =-4V, $V_{DS}$ =25 V에서 10dB의 Gain과 34dBm(1 dB compression point)의 출력전력, 7.6W/mm의 전력밀도, 37%의 PAE(power added efficiency)를 얻을 수 있었다.다.