• 약학회지
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• 제43권1호
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• pp.48-54
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• 1999

Effects of zinc chloride (Zn) on the immune responses of lipopolysaccharide (LPS) were studied by using ICR mice. Mice were divided into 4 groups (10 mice/group), and Zn was given to the mice with i.p. injection at 0.3 mg/kg 5 times a week for 14 days, and 1 hr after Zn administration, LPS was given with i.p. injection at 5 mg/kg twice a week. Mice were immunized and challenged with sheep red blood cells (SRBC). Immunobiological responses were evaluated by humoral, cellular and nonspecific immunity. LPS treatment significantly increased the relative weights of spleen and thymus, hemagglutination titer (HA) and proliferation of splenocytes compared with those in controls, but significantly decreased the body weight gain. Zn treatment significantly increased proliferation of splenocytes and circulating leukocytes compared with those in controls. Combination of Zn and LPS significantly decreased the body weight gain and proliferation of splenocytes compared with those in controls. Combination of Zn and LPS significantly decreased HA and proliferation of splenocytes than in LPS alone. These findings indicate that zinc lowered the humoral immune responses of LPS.

• 전자공학회논문지B
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• 제33B권5호
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• pp.1-9
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• 1996

In this paper, a parameter identification method for a discrete-time linear system using multi-layer neural network is proposed. The parameters are identified with the combination of weights and the output of neuraons of a neural network, which can be used for a linear and a nonlinear controller. An adaptive output tracking architecture is designed for the linear controller. And, the nonlinear controller. A sliding mode control law is applied to the stabilizing the nonlinear controller such that output errors can be reduced. The effectiveness of the proposed control scheme is illustrated through simulations.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 B
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• pp.936-938
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• 1999

In this Paper, the design of a feedback linearization controller using multilayer neural network is proposed. The Proposed feedback linearization control scheme is designed by finding Lie derivatives from an identified neural networks. Lie derivatives are expressed as a combination of weights and neuron outputs. The proposed method is applied to an antenna arm problem and the simulation results show performance comparisons between the ordinary feedback linearization and the Proposed method.

• Communications for Statistical Applications and Methods
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• 제2권2호
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• pp.213-220
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• 1995

We consider a class of the weighted logrank tests and 4 types of weights in this class. We propese a test based on the maximum of 4 weighted logrank statistics and suggest a simulation techniqur to obtain the p-value of proposed test. It is shown through the simulation studies that the proposed test is robust and has reasonably good powers comparing with the well known efficient tests.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2008년도 춘계학술대회
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• pp.333-337
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• 2008

The Balanced scorecard has been evolved in various function. In the various functional Balanced scorecard, this paper focuses on the reverse logistics BSC, and the decision the weights of Key Performance Indicators. In this paper, a combination of Balanced scorecard and value evaluation based approach proposed multi-criteria provides a more accurate representation of the problem for measuring company.

• 한국융합학회논문지
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• 제11권11호
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• pp.257-267
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• 2020

본 연구는 우리나라 수출 분야의 산업별 고용비중을 다양한 머신러닝 기법을 활용하여 예측하고, 예측성능을 높이기 위하여 머신러닝 기법 예측값들에 예측조합 기법을 적용하였다. 특히, 본 연구에서는 각 머신러닝 기법 예측값들에 부여되는 가중치의 합을 1로 설정하는 제약하의 예측조합 기법을 사용하여 예측의 정확성과 안정성을 확보하고자 하였다. 또한, 본 연구는 산업별 고용비중에 영향을 주는 다양한 변수를 고려하기 위하여 재귀적특성제거 방법을 사용하여 주요 변수를 선별한 후, 머신러닝 기법에 적용함으로써 예측과정 상에서의 효율성을 높였다. 분석결과, 예측조합 방법에 따른 예측값은 머신러닝 기법의 예측값들보다 실제의 산업 고용비중에 근접한 것으로 나타났으며, 머신러닝 기법의 예측값들이 큰 변동성을 보이는 것과 달리 제약하의 예측조합 기법은 안정적인 예측값을 나타내었다.

• ETRI Journal
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• 제32권3호
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• pp.395-405
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• 2010

A novel multiclassifier system (MCS) strategy is proposed and applied to a text-dependent speaker verification task. The presented scheme optimizes the linear combination of classifiers on an on-line basis. In contrast to ordinary MCS approaches, neither a priori distributions nor pre-tuned parameters are required. The idea is to improve the most accurate classifier by making use of the incremental information provided by the second classifier. The on-line multiclassifier optimization approach is applicable to any pattern recognition problem. The proposed method needs neither a priori distributions nor pre-estimated weights, and does not make use of any consideration about training/testing matching conditions. Results with Yoho database show that the presented approach can lead to reductions in equal error rate as high as 28%, when compared with the most accurate classifier, and 11% against a standard method for the optimization of linear combination of classifiers.

• Archives of Pharmacal Research
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• 제22권2호
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• pp.124-129
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• 1999

The present study was undertaken to investigate the effect of biphenyl dimethyl idcarboxylate (PMC) on the humoral immunosuppression by ketoconazole (KCZ) in ICR mice. PMC at a dose of 6 mg/kg was administered orally to mice daily for 14 consecutive days. KCZ was suspended in RPMI 1640 medium and orally administered at 160 mg/kg/day 2 hrs after the administration of PMC. Mice were immunized an challenged with challenged red blood cells (SRBC). The results of the present study are summarized as follows; a gain of body weight and relative weights of spleen and liver were significantly increased by combination of PMC and KCZ, as compared with those in mice treated with KCZ alone. Splenic plaque forming cells (PFC) and hemagglutination (HA) titers to SRBC were greatly enhanced by the combination of PMC and KCZ, compared with treatment of KCZ alone. The elevation of serum glutamicpyruvic transminase (S-GPT) and total protein levels caused by KCZ were reduced to normal level by the combination of PMC and KCZ. In addition, lower serum albumin and A/G ratio were also increased to normal level. These findings indicate that PMC has a protective effect against KCZ-induced humoral immunosuppression.

• Geomechanics and Engineering
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• 제23권5호
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• pp.441-454
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• 2020

The tunnel collapse, large deformation of surrounding rock, water and mud inrush are the major geological disasters in soft rock tunnel construction. Among them, tunnel collapse has the most serious impact on tunnel construction. Current research backed theories have certain limitations in identifying the collapse risk of soft rock tunnels. Examining the Zhengwan high-speed railway tunnel, eight soft rock tunnel collapse influencing factors were selected, and the combination of indicator weights based on the analytic hierarchy process and entropy weighting methods was obtained. The results show that the groundwater condition and the integrity of the rock mass are the main influencing factors leading to a soft rock tunnel collapse. A comprehensive fuzzy evaluation model for the collapse risk of soft rock tunnels is being proposed, and the real-time collapse risk assessment of the Zhengwan tunnel is being carried out. The results obtained via the fuzzy evaluation model agree well with the actual situation. A tunnel section evaluated to have an extremely high collapse risk and experienced a local collapse during excavation, verifying the feasibility of the collapse risk evaluation model. The collapse risk evaluation model proposed in this paper has been demonstrated to be a promising and innovative method for the evaluation of the collapse risk of soft rock tunnels, leading to safer construction.

• 한국가금학회지
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• 제48권4호
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• pp.161-168
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• 2021

본 연구는 토종닭 종계의 산란능력 검증을 위해 국립축산과학원 가금연구소의 토종닭 순계로 생산한 종계 9개 조합의 생산능력을 비교 및 분석하였다. 분석 결과, 16주 체중은 CY조합이 1,604.9 g으로 가장 높았고 DK 조합이 1,424.4 g으로 가장 낮았다. 종계 9개 조합의 시산일령은 118.6일로 나타났고 YD 조합이 111.6일로 가장 빠르고 DK 조합이 126일로 가장 느린 시산을 보였다. 일계 산란율은 CF, CK 및 DK 조합이 74% 이상으로 높게 나타났다. DK 조합은 시산일령이 느려 일계산란수가 114.4개로 낮았으나 높은 일계 산란율을 보여 다른 조합에 비해 산란지속성이 우수할 것으로 사료된다. 난중은 DK 조합이 20주령 43.9 g, 36주령 58.1 g으로 모든 주령에서 월등히 무겁게 나타났다. 난질에서 난각색은 F와 K가 사용된 조합이 밝은 난각색을 보였고, 계란무게 형질은 DK와 CF 조합이 무겁게 나타났다. 난각 강도와 난각 두께는 DK 조합이 각각 3.8 kg/cm², 0.38 mm로 우수하였다. 종합하면, CF와 DK 조합이 산란능력 및 계란품질이 우수하게 나타났으며 부계로 Y 계통을 사용한 YC, YD 및 YK 조합은 대부분 형질의 성적이 저조하게 나타났다.