• Title/Summary/Keyword: Immune System

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Vibration Optimization Using Immune-GA Algorithm (면역-유전알고리즘을 이용한 진동최적화)

  • 최병근;양보석
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1998.04a
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    • pp.273-279
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    • 1998
  • An immune system has powerful abilities such as memory, recognition and learning to respond to invading antigens, and is applied to many engineering algorithm recently. In this paper, the combined optimization algorithm is proposed for multi-optimization problem by introducing the capability of the immune system that controls the proliferation of clones to the genetic algorithm. The optimizing ability of the proposed optimization algorithm is identified by using two multi-peak functions which have many local optimums and optimization of the unbalance response function for rotor model.

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Intelligent Control by Immune Network Algorithm Based Auto-Weight Function Tuning

  • Kim, Dong-Hwa
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.120.2-120
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    • 2002
  • In this paper auto-tuning scheme of weight function in the neural networks has been suggested by immune algorithm for nonlinear process. A number of structures of the neural networks are considered as learning methods for control system. A general view is provided that they are the special cases of either the membership functions or the modification of network structure in the neural networks. On the other hand, since the immune network system possesses a self organizing and distributed memory, it is thus adaptive to its external environment and allows a PDP (parallel distributed processing) network to complete patterns against the environmental situation. Also. It can provi..

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Correlation between Oriental Medicine Diagnosis and the Autonomic Nervous System Functions of Hyperhidrosis Patients (다한증 환자의 한의학적 변증특성 및 자율신경계 기능과의 상관관계)

  • Lee, Sung-Hun;Kim, Jae-Hwan;Roh, Yeong-lae;Rhee, Hyung-Koo;Jeong, Seung-Yeon;Jung, Sung-Ki;Jung, Hee-Jae
    • The Journal of Internal Korean Medicine
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    • v.29 no.2
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    • pp.359-374
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    • 2008
  • Objective : Hyperhidrosis is a condition characterized by excessive sweating. Some studies suggest that hyperhidrosis is associated with autonomic nervous system dysfunction. Hyperhidrosis is often accompanied by hypersensitivity, tension, irritability, heat flashes, fatigue, etc. This study was designed to evaluate the correlation between Oriental Medicine diagnosis and the autonomic nervous system function in patients with hyperhidrosis using Heart Rate Variability (HRV) analysis. Methods : 23 palmar and plantar hyperhidrosis patients and 10 systemic hyperhidrosis patients were recruited and evaluated by Oriental Medicine diagnostic questionnaire and HRV analysis. The Oriental Medicine diagnostic questionnaire used a three-dimensional diagnosis that classified patients into Cold or Heat Syndrome, Yin or Yang Syndrome, and Deficiency or Excess Syndrome. Measured indices of HRV used the frequency domain analysis(i.e. TP, VLF, LF, HF and LF/HF ratio). Also, measure indices of HRV adjusted for aging effects were evaluated. Results : Cold/Heat Syndrome was not associated with hyperhidrosis prevalence nor the HRV analysis in hyperhidrosis patients. The Yang Syndrome group(78.8%) was more strongly correlated than the Yin Syndrome group(21.2%), and character of Yang was correlated with the adjusted TP and adjusted LF. The LF/HF ratio in the Excess Syndrome group was significantly higher than the LF/HF ratio in the Deficiency Syndrome group. Conclusion : Hyperhidrosis was not associated with the Cold/Heat Syndrome, but was found to be closely associated with the Yang Syndrome. The LF/HF ratio was significantly higher in the Excess Syndrome group than in the Deficiency Syndrome group in hyperhidrosis patients.

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Development of A New Herbal Composition HemoHIM as An Immune-Improving Agent Using Irradiated Animal Models (방사선조사 동물모델 이용 면역기능개선-생약복합물 헤모힘(HemoHIM)개발)

  • Jo, Seong-Gi
    • Radioisotope journal
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    • v.21 no.4
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    • pp.38-45
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    • 2006
  • A new herbal composition. HemoHIM, was developed using irradiated animal models and was successfully applied as an immune-improving agent. In a view that the protection and recovery of immune, hematopoietic and self-renewal tissues are essential for radioprotective agents, HemoHIM was developed based on a novel combination of three edible herbs (Angelica Radix, Cnidii Rhizoma. Paeonin Radix) that meet all those requirements. HemoHIM significantly protected the immune and hematopoietic system and enhanced their recovery in y-irradiated mice. For the application of HemoHIM as a health functional food and a supplementary agent for the cancer patients, the efficacy of HemoHIM to improve the immune functions was further evaluated in immune-depressed animals and humans. Animal studies demonstrated that HemoHIM significantly improved the immune functions in cyclophosphamide-treated mice, aged mice, and dexamethasone-treated mice. In human studies, HemoHIM enhanced the immune activity and cytokine secretion in sub-healthy volunteers, and alleviated the severe leukocyre depression in cancer patients during radiation and chemotherapy. Based on these results, HemoHIM was approved by Korea FDA as a material of health functional food for immune function improvement and will be commercially available soon. This case of HemoHIM research and development suggested that irradiated animals can be good models for biological degenerations such as immune depression, self-renewal tissue damage, and aging for the development of biological modulators.

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An Immune-Fuzzy Neural Network For Dynamic System

  • Kim, Dong-Hwa;Cho, Jae-Hoon
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2004.10a
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    • pp.303-308
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    • 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.

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Studies on the Effect of Captafol and Ethanol the Murine Immune System (Captafol 免疫毒性에 미치는 Ethanol의 영향)

  • 박귀례
    • Journal of Environmental Health Sciences
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    • v.14 no.1
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    • pp.115-122
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    • 1988
  • Captafol (1H-Isoindole-1.3(2H)-dione, 3a, 4, 7, 7a-tetrahydro-2-[1, 1, 2, 2-tetrahydroethyltkio]) is widely used as fungicide in agriculture. Immune modulatory effects of captafol and ethanol were studied in mice. Mice administered captafol intra peritoneally every other day for 5 times, and ethanol per os as captafol. Mice were sensitized and challenged with sheep red blood cells, serum antibody titer, foot pad swelling, and rosette forming cell number were mediated immune response. 1. The result show that humoral immune response and cell mediatea response were suppressed by captafol. 2. Especially effect of ethanol on the captafol immune response were significantly suppressed the humoral immune response and cell mediated immune response.

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Regulation of Intestinal Immune System by Dendritic Cells

  • Ko, Hyun-Jeong;Chang, Sun-Young
    • IMMUNE NETWORK
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    • v.15 no.1
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    • pp.1-8
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    • 2015
  • Innate immune cells survey antigenic materials beneath our body surfaces and provide a front-line response to internal and external danger signals. Dendritic cells (DCs), a subset of innate immune cells, are critical sentinels that perform multiple roles in immune responses, from acting as principal modulators to priming an adaptive immune response through antigen-specific signaling. In the gut, DCs meet exogenous, non-harmful food antigens as well as vast commensal microbes under steady-state conditions. In other instances, they must combat pathogenic microbes to prevent infections. In this review, we focus on the function of intestinal DCs in maintaining intestinal immune homeostasis. Specifically, we describe how intestinal DCs affect IgA production from B cells and influence the generation of unique subsets of T cell.

An Intrusion Detection Method Based on Changes of Antibody Concentration in Immune Response

  • Zhang, Ruirui;Xiao, Xin
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.137-150
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    • 2019
  • Although the research of immune-based anomaly detection technology has made some progress, there are still some defects which have not been solved, such as the loophole problem which leads to low detection rate and high false alarm rate, the exponential relationship between training cost of mature detectors and size of self-antigens. This paper proposed an intrusion detection method based on changes of antibody concentration in immune response to improve and solve existing problems of immune based anomaly detection technology. The method introduces blood relative and blood family to classify antibodies and antigens and simulate correlations between antibodies and antigens. Then, the method establishes dynamic evolution models of antigens and antibodies in intrusion detection. In addition, the method determines concentration changes of antibodies in the immune system drawing the experience of cloud model, and divides the risk levels to guide immune responses. Experimental results show that the method has better detection performance and adaptability than traditional methods.

Recent Insights into Cellular Crosstalk in Respiratory and Gastrointestinal Mucosal Immune Systems

  • Sae-Hae Kim;Yong-Suk Jang
    • IMMUNE NETWORK
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    • v.20 no.6
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    • pp.44.1-44.19
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    • 2020
  • The human body is continuously threatened by pathogens, and the immune system must maintain a balance between fighting infection and becoming over-activated. Mucosal surfaces cover several anatomically diverse organs throughout the body, such as the respiratory and gastrointestinal tracts, and are directly exposed to the external environment. Various pathogens invade the body through mucosal surfaces, making the mucosa the frontline of immune defense. The immune systems of various mucosal tissues display distinctive features that reflect the tissues' anatomical and functional characteristics. This review discusses the cellular components that constitute the respiratory and gastrointestinal tracts; in particular, it highlights the complex interactions between epithelial and immune cells to induce Ag-specific immune responses in the lung and gut. This information on mucosal immunity may facilitate understanding of the defense mechanisms against infectious agents that invade mucosal surfaces, such as severe acute respiratory syndrome coronavirus 2, and provide insight into effective vaccine development.