• Biomolecules & Therapeutics
• /
• 제3권3호
• /
• pp.177-181
• /
• 1995

To investigate the possibility of Panax ginseng as a therapeutic agent for the immune suppression, ginseng total saponin (GTS) extracted from korean red ginseng was tested on immune functions from morphine-induced immune suppressed mice. To study how immune functions are affected by morphine and also to test whether GTS can be an useful therapeutic agent for morphine toxicity, several parameters were employed, body weight, immune organ weight, B cell functions, and T cell function. Morphine impaired the development of body weight and immune organ weight such as spleen and thymus. Morphine also depressed a B-cell function, antibody production. T-cell functions studied by type IV hypersensitivity test were most markedly affected by morphine treatment. GTS restored most of morphine-induced immune suppression. GTS restored the morphine-induced decrease in spleen weight to body weight ratio in a dose dependent manner, but not the body weight decrease. Also all of the morphine-induced impairments of B cell functions and cellmediated immunity were fully recovered by GTS. These results suggest that ginseng product could be very helpful for the treatment of immune suppression occurring in morphine abusers.

• 정보보호학회논문지
• /
• 제17권4호
• /
• pp.89-95
• /
• 2007

상관면역함수 f를 만드는 방법으로 Siegenthaler의 방법, Camion의 방법과 Seberry의 방법 등이 있다. 이 중에서 Seberry의 방법은 Hadamard 행렬이론을 이용하여 상관면역함수를 만드는 것으로, 임의의 상관면역도의 균형상관면역함수를 만드는 방법을 제공하였다. 본 논문에서는 저차원의 벡터공간에서 만들어진 여러 개의 상관면역함수를 조합하여 고차원 벡터공간위에서 상당히 비도가 높은 함수를 설계하는 Seberry의 방법들을 연구하였고, 그 함수들의 비선형도를 계산하였다. 즉, 두 개의 함수의 직합으로 설계된 새로운 상관면역함수와 네 개의 함수의 조합으로 설계된 새로운 상관면역함수의 비선형도가 각각의 이전 함수들과 비교하여 더 높은 비선형도를 갖는다는 것을 보였다. 또한 위의 방법을 응용하여 상대적으로 비도가 높은 상관공격으로부터 안전한 스트림암호에서 사용되는 함수들을 설계하였다.

• ETRI Journal
• /
• 제19권4호
• /
• pp.389-401
• /
• 1997

In this paper, we consider the relationship between nonlinearity and correlation immunity of Boolean functions. In particular, we discuss the nonlinearity of correlation immune functions suggested by P. Camion et al. For the analysis of such functions, we present a simple method of generating the same set of functions, which makes it possible to construct correlation immune functions with controllable correlation immunity and nonlinearity. Also, we find a bound for the correlation immunity of functions having maximal nonlinearity.

• 대한전기학회논문지:시스템및제어부문D
• /
• 제52권5호
• /
• pp.259-267
• /
• 2003

In this paper, we propose a nonlinear variable PID controller using a cell-mediated immune response. An immune feedback response is based on the functioning of biological T-cells. An immune feedback response and P-controller of conventional PID controllers resemble each other in role and mechanism. Therefore, we extend immune feedback mechanism to nonlinear PE controller. And in order to choose the optimal nonlinear PID controller games, we also propose the on-line tuning algorithm of nonlinear functions parameters in immune feedback mechanism. The trained parameters of nonlinear functions are adapted to the variations of the system parameters and any command velocity. And the adapted parameters obtained outputs of nonlinear functions with an optimal control performance. To verify performances of the proposed control systems, the speed control of nonlinear BC motor is performed. The simulation results show that the proposed control systems are effective in tracking a command velocity under system variations.

• 정보보호학회논문지
• /
• 제7권2호
• /
• pp.3-10
• /
• 1997

상관면역 함수는 스트림 암호의 여과 함수, 비선형 결합 함수 뿐만 아니라 블럭 암호의 핵심 논리설계에 많이 이용된다. 본 논문에서는 새로운 방식으로 상관면역 함수를 설계하는 방법을 제시한다. 이 방법을 이용하여 상관면역 함수 개수의 하한값과 상한값을 구하였다. 이 값은 Mitchell(1990), Yang-Guo(1995)가 구한 하한값과 상한값을 크게 개선한다.

• 한국가금학회지
• /
• 제34권4호
• /
• pp.295-300
• /
• 2007

스트레스에 놓여 있는 닭에서는 생산성의 감소뿐만 아니라 면역 기능의 감소가 관찰된다. 이들은 보다 좋은 환경하에서 사육된 닭에 비해 질병에 걸리기 쉽고, 따라서 치료 혹은 예방을 위해 더 빈번히 약제에 의존해야 할지도 모른다. 본고에서는 먼저 닭에서 흔히 이용되는 스트레스 표식을 알아보고, 스트레스와 면역 기능과의 관계, 마지막으로 생산성과 면역 기능에 대한 스트레스의 영향에 관한 최근의 문헌을 조사했다.

• BMB Reports
• /
• 제35권6호
• /
• pp.537-546
• /
• 2002

NF-${\kappa}B$/Rel transcription factor family participates in diverse biological processes including embryo development, hematopoiesis, immune regulation, as well as neuronal functions. In this review, the NF-${\kappa}B$/Rel signal transduction pathways and their important roles in the regulation of immune system will be discussed. NF-${\kappa}B$/Rel members execute distinct functions in multiple immune cell types via the regulation of target genes essential for cell proliferation, survival, effector functions, cell trafficking and communication, as well as the formation of lymphoid architecture. Consequently, proper activation of NF-${\kappa}B$/Rel during immune responses to allergens, auto-antigens, allo-antigens, and pathogenic infection is crucial for the integrity of host innate and adaptive immunity.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2004년도 ICCAS
• /
• pp.1296-1301
• /
• 2004

Fuzzy logic, neural network, fuzzy-neural network play an important as the key technology of linguistic modeling for intelligent control and decision making in complex systems. The fuzzy -neural network (FNN) learning represents one of the most effective algorithms to build such linguistic models. This paper proposes learning approach of fuzzy-neural network by immune algorithm. The proposed learning model is presented in an immune based fuzzy-neural network (FNN) form which can handle linguistic knowledge by immune algorithm. The learning algorithm of an immune based FNN is composed of two phases. The first phase used to find the initial membership functions of the fuzzy neural network model. In the second phase, a new immune algorithm based optimization is proposed for tuning of membership functions and structure of the proposed model.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2004년도 추계학술대회 학술발표 논문집 제14권 제2호
• /
• pp.303-308
• /
• 2004

Fuzzy logic, neural network, fuzzy-neural network play an important as the key technology of linguistic modeling for intelligent control and decision making in complex systems. The fuzzy-neural network (FNN) learning represents one of the most effective algorithms to build such linguistic models. This paper proposes learning approach of fuzzy-neural network by immune algorithm. The proposed learning model is presented in an immune based fuzzy-neural network (FNN) form which can handle linguistic knowledge by immune algorithm. The learning algorithm of an immune based FNN is composed of two phases. The first phase used to find the initial membership functions of the fuzzy neural network model. In the second phase, a new immune algorithm based optimization is proposed for tuning of membership functions and structure of the proposed model.

• Journal of Microbiology and Biotechnology
• /
• 제33권3호
• /
• pp.288-298
• /
• 2023

Host defense peptides are expressed in various immune cells, including phagocytic cells and epithelial cells. These peptides selectively alter innate immune pathways in response to infections by pathogens, such as bacteria, fungi, and viruses, and modify the subsequent adaptive immune environment. Consequently, they play a wide range of roles in both innate and adaptive immune responses. These peptides are of increasing importance due to their broad-spectrum antimicrobial activity and their functions as mediators linking innate and adaptive immune responses. This review focuses on the pleiotropic biological functions and related mechanisms of action of human host defense peptides and discusses their potential clinical applications.