Immune system

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An immune system is a system of biological structures and processes within an organism that protects against disease by identifying and killing pathogens and tumor cells. (Wikipedia.org)






Conferences related to Immune system

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2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference will cover diverse topics ranging from biomedical engineering to healthcare technologies to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions and oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by IEEE Xplore and Medline/PubMed.

  • 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The Annual International Conference of the IEEE Engineering in Medicine and Biology Society covers a broad spectrum of topics from biomedical engineering and physics to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions, oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by PubMed and EI. Prop

  • 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc.

  • 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The general theme of EMBC'08 is "Personalized Healthcare through Technology", covering a broad spectrum of topics from biomedical and clinical engineering and physics to medical and clinical applications. Transfer of research results from academia to industry will also be a focus of the conference.

  • 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

  • 2006 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

  • 2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)


2014 IEEE International Conference on Systems, Man and Cybernetics - SMC

SMC2014 targets advances in Systems Science and Engineering, Human-Machine Systems, and Cybernetics involving state-of-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies, and emerging applications.

  • 2013 IEEE International Conference on Systems, Man and Cybernetics - SMC

    SMC 2013 targets advances in Systems Science and Engineering Human-machine Systems and Cybernetics involving state-of-the-art technologies interacting with humans to provide an enriching experience and thereby improving the quality of lives including theories, methodologies and emerging applications.

  • 2012 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2011 IEEE International Conference on Systems, Man and Cybernetics - SMC

    Theory, research, and technology advances including applications in all aspects of systems science and engineering, human machine systems, and emerging cybernetics.

  • 2010 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC2010) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.

  • 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC

    The 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC2009) provides an international forum that brings together those actively involved in areas of interest to the IEEE Systems, Man, and Cybernetics Society, to report on up-to-the-minute innovations and developments, to summarize the state-of-the-art, and to exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics.

  • 2008 IEEE International Conference on Systems, Man and Cybernetics - SMC


2013 IEEE International Conference on Mechatronics and Automation (ICMA)

The objective of ICMA 2013 is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of mechatronics, robotics, automation and sensors to disseminate their latest research results and exchange views on the future research directions.


IEEE SOUTHEASTCON 2013

Region 3 Meeting, Technical papers, student competitions.

  • SOUTHEASTCON 2012

    The annual IEEE SoutheastCon conferences promote all aspects of the theories and applications of the engineering disciplines. Sponsored by the IEEE Region 03, this event attracts researchers, professionals, and students from the Southeast region of the U.S and beyond. SoutheastCon 2012 will be held in Orlando, Florida.

  • SOUTHEASTCON 2011

    IEEE SoutheastCon2011 is the annual IEEE Region 3 technical, professional, and student conference, invites conference refereed and non-refereed technical paper presentations and tutorials that advance the work and careers of conference attendees in the areas of interest for the conference.

  • SOUTHEASTCON 2010

    SoutheastCon 2010 is the Region 3 event which includes a student conference, a technical conference, and the Region 3 business meeting.

  • SOUTHEASTCON 2009

    It is the annual IEEE Region 3 Technical, Professional, and Student Conference. As the premier conference for the IEEE Region 3, it brings together electrical, computer and other engineering and science professionals, faculty and students to share the latest information through technical sessions, tutorials and exhibits. The conference schedule includes: a technical program with seminars, tutorials, and workshops; exhibits; a student program with student competitions; and IEEE regional meetings.

  • SOUTHEASTCON 2008

    SoutheastCon is the Southeastern USA Region of the IEEE's premier conference. It contains three main sections: a technical program, student competitions and regional meetings. SouthEastCon features technical papers, tutorials and exhibits.

  • SOUTHEASTCON 2007

  • SOUTHEASTCON 2006

  • SOUTHEASTCON 2005


2012 10th World Congress on Intelligent Control and Automation (WCICA 2012)

A. Intelligent Control B. Control Theory and Control Engineering C. Complex Systems and Intelligent Robots D. Others


More Conferences

Periodicals related to Immune system

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Geoscience and Remote Sensing, IEEE Transactions on

Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.


Industrial Electronics, IEEE Transactions on

Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.


Neural Networks, IEEE Transactions on

Devoted to the science and technology of neural networks, which disclose significant technical knowledge, exploratory developments, and applications of neural networks from biology to software to hardware. Emphasis is on artificial neural networks.



Most published Xplore authors for Immune system

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Xplore Articles related to Immune system

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The Research on Robot Control Based on Fuzzy Immune Technology

Qinghao Yan; Shuhua Peng 2013 Sixth International Symposium on Computational Intelligence and Design, 2013

A new intelligent control method fuzzy control is used on the PID controller. PID control or the fuzzy PID control is hard to achieve the required control precision. The immune feedback system which develops from artificial immune system, has a strongly adaptive and stable ability is combined with the fuzzy control. The experiment result shows the fuzzy immune feedback system ...


The sugarcane ethanol power industry in Brazil: Obstacles, success and perspectives

J. Marques De Azevedo; F. D. Galiana 2009 IEEE Electrical Power & Energy Conference (EPEC), 2009

A brief history of the Brazilian ethanol industry and its success is presented, such as, today the ethanol consumption for car's fuel supply is higher, cheaper and very much cleaner than the gasoline fuel. In continuation, some of the fallacious myths against the Brazilian sugarcane ethanol are refuted. The evolution of the Brazilian ethanol power industry is showed. Brazil has ...


An improved analytical short-channel MOSFET model valid in all regions of operating for analog/digital circuit simulation

H. -C. Chow; W. -S. Feng; J. B. Kuo IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1992

An improved analytical model for short-channel MOSFETs which is valid in all regions of operation with both the continuous drain current and the output conductance by introducing a source-drain series resistance dependent scaling factor is proposed for analog/digital circuit simulation. This model considers all second-order effects for an accurate determination of the pinchoff point location without internal numerical iterations. Comparisons ...


Study in the Tunneling Junction of the NiFe/Al2O3/NiFe and NiFe/ Al2O3/CoFe Giant Magneto Resistance Effect

Tai-long Gui; Xu Jing; Liang Li-Chao; Chen luo-Xi; Xu Xiao-Long; Li Yan-Fei 2006 International Forum on Strategic Technology, 2006

A DC magnetron sputtering method has been used to prepare the multilayer tunneling samples of NiFe/Al2O3/NiFe and NiFe/Al2O3/CoFe in this paper. The tunneling magneto resistance effect and negative-resistance effect have been investigated and the V-C characteristic of the samples has been measured. This paper has also discussed the effects of the thickness of oxide insulating coating and ferromagnetic layer and ...


Detection of AT<sub>1</sub>R on H295R cells by functionalized AFM tip

Qi Gao; King Wai Chiu Lai 2016 IEEE 10th International Conference on Nano/Molecular Medicine and Engineering (NANOMED), 2016

Specific molecular recognition between antibody and receptor on cell membrane plays a central role in biological research. As a main component in the renin- angiotensin system (RAS), angiotensin II type I receptor (AT1R) mediates the classical biological actions of angiotensin II (Ang II). In this study, we applied atomic force microscopy (AFM) to characterize and quantify binding interaction between anti-AT1R ...


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Educational Resources on Immune system

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eLearning

The Research on Robot Control Based on Fuzzy Immune Technology

Qinghao Yan; Shuhua Peng 2013 Sixth International Symposium on Computational Intelligence and Design, 2013

A new intelligent control method fuzzy control is used on the PID controller. PID control or the fuzzy PID control is hard to achieve the required control precision. The immune feedback system which develops from artificial immune system, has a strongly adaptive and stable ability is combined with the fuzzy control. The experiment result shows the fuzzy immune feedback system ...


The sugarcane ethanol power industry in Brazil: Obstacles, success and perspectives

J. Marques De Azevedo; F. D. Galiana 2009 IEEE Electrical Power & Energy Conference (EPEC), 2009

A brief history of the Brazilian ethanol industry and its success is presented, such as, today the ethanol consumption for car's fuel supply is higher, cheaper and very much cleaner than the gasoline fuel. In continuation, some of the fallacious myths against the Brazilian sugarcane ethanol are refuted. The evolution of the Brazilian ethanol power industry is showed. Brazil has ...


An improved analytical short-channel MOSFET model valid in all regions of operating for analog/digital circuit simulation

H. -C. Chow; W. -S. Feng; J. B. Kuo IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1992

An improved analytical model for short-channel MOSFETs which is valid in all regions of operation with both the continuous drain current and the output conductance by introducing a source-drain series resistance dependent scaling factor is proposed for analog/digital circuit simulation. This model considers all second-order effects for an accurate determination of the pinchoff point location without internal numerical iterations. Comparisons ...


Study in the Tunneling Junction of the NiFe/Al2O3/NiFe and NiFe/ Al2O3/CoFe Giant Magneto Resistance Effect

Tai-long Gui; Xu Jing; Liang Li-Chao; Chen luo-Xi; Xu Xiao-Long; Li Yan-Fei 2006 International Forum on Strategic Technology, 2006

A DC magnetron sputtering method has been used to prepare the multilayer tunneling samples of NiFe/Al2O3/NiFe and NiFe/Al2O3/CoFe in this paper. The tunneling magneto resistance effect and negative-resistance effect have been investigated and the V-C characteristic of the samples has been measured. This paper has also discussed the effects of the thickness of oxide insulating coating and ferromagnetic layer and ...


Detection of AT<sub>1</sub>R on H295R cells by functionalized AFM tip

Qi Gao; King Wai Chiu Lai 2016 IEEE 10th International Conference on Nano/Molecular Medicine and Engineering (NANOMED), 2016

Specific molecular recognition between antibody and receptor on cell membrane plays a central role in biological research. As a main component in the renin- angiotensin system (RAS), angiotensin II type I receptor (AT1R) mediates the classical biological actions of angiotensin II (Ang II). In this study, we applied atomic force microscopy (AFM) to characterize and quantify binding interaction between anti-AT1R ...


More eLearning Resources

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IEEE-USA E-Books

  • Malware Detection System Using Affinity Vectors

    This chapter proposes an immune-based virus detection system using affinity vectors (IVDS) based on the negative selection and clonal selection algorithms in artificial immune system (AIS). AVDS first generates the detector set from virus files in dataset, negative selection is used to eliminate autoimmunity detectors for the detector set, while clonal selection is exploited to increase the diversity of the detector set in the non-self space. The affinity vectors of the training set and the testing set are used to train and test classifiers, respectively. Finally, based on the affinity vectors, three classic classifiers, that is, Support Vector Machine (SVM), radial basis kernel function (RBF) network and k-nearest neighbor (KNN), are used to verify the performance of the model. Experimental results showed that the IVDS with the rbf-SVM classifier has a strong generalization ability with a low false positive rate in detecting unknown viruses.

  • Hierarchical Artificial Immune Model

    As viruses become more complex, current anti-virus methods are inefficient to detect various forms of viruses, especially new variants and unknown viruses. This chapter proposes a hierarchical artificial immune model (HAIM) for virus detection to overcome three specific shortcomings in traditional artificial immune system (AIS) models: randomly generating the detectors leading to the bad efficiency; poor generalization and poor performance with a big dataset; and ignoring the relevance between different extracted signatures in one virus. The virus gene library generating module works on the training set consisting of legal and virus programs. The model can obtain the frequency information of deoxyribonucleotides (ODN) appearing in the legal and virus programs. Finally, classification decision is an overall behavior that greatly reduces the information loss. The model can effectively and efficiently recognize obfuscated virus, detect new variants of known virus and some unknown viruses.

  • Negative Selection Algorithm with Penalty Factor

    A malware detection model based on a negative selection algorithm with a penalty factor is proposed to overcome the drawback of traditional negative selection algorithms in defining the harmfulness of self and nonself. The effectiveness of the proposed model is improved greatly by using the dangerous signatures that would have been discarded in the traditional negative selection algorithm. This chapter presents a malware detection model based on a negative selection algorithm with penalty factor (NSAPF). The proposed NSAPF model consists of a malware signature extraction module (MSEM) and a suspicious program detection module (SPDM). In the SPDM, signatures of suspicious programs are extracted using the malware instruction library (MIL). The chapter considers the malware candidate signature library (MCSL) as nonself and the BPMSL as self and generates a Malware Detection Signature Library (MDSL) using NSAPF. Comprehensive experimental results demonstrated that the proposed model is effective in detecting unknown malware with a lower FPRs.

  • Front Matter

    This chapter contains sections titled: Half Title, The Information Society Series, Title, Copyright, Dedication, Contents, Foreword: Trust, Reputation Systems, and the Immune System of Democracy, Acknowledgments, Introduction: Building the Reputation Society

  • Class-Wise Information Gain

    This chapter proposes a new statistics named class-wise information gain (CIG) and a CIG-based malware detection method to detect malware loaders and infected executables in the Wild. The proposed CIG, extending from the IG, allows people to pay more attention to a specific class and select the features for each class to balance or adjust the proportions of the features in the detecting feature set (DFS) freely. The CIG-based malware detection method involves two modules: feature selection and classification module. The experimental results suggest that the CIG is able to select the features for a specific class e.g., document frequency based CIG (DFCIG)-M, and the proposed CIG-based malware detection method is an effective and universal way to detect both malware loaders and infected executables. The memory requirement of the proposed method is just about 60 percent less than that of the IG-based methods.

  • Danger Feature-Based Negative Selection Algorithm

    This chapter presents a danger feature-based negative selection algorithm (DFNSA). In the DFNSA, the danger feature space is divided into four parts, and the information of danger features is reserved as much as possible, laying a good foundation for measuring the danger of a sample. A danger feature is a feature with dangerous properties, that is able to identify its corresponding dangerous operations. It is the basic element for an immune system to decide whether an immune response should be produced. In order to incorporate the DFNSA into the procedure of malware detection, a DFNSA-based malware detection (DFNSA-MD) model is proposed. The danger of a sample is measured precisely in this way and used to classify the sample. Comprehensive experimental results suggest that the DFNSA is able to reserve as much information about the danger features as possible, and the DFNSA-MD model is effective to detect unseen malware.

  • Multiple-Point Bit Mutation Method of Detector Generation

    In self and nonself discrimination (SNSD) model, it is very important to generate a desirable detector set since it decides the performance and scale of the SNSD model based task. This chapter proposed a novel detector generating algorithm on the basis of the negative selection principle in natural immune systems. It utilizes random multiple-point mutation to look for nonself detectors in a large range of the space of detectors, such that one can obtain a required detector set in a reasonable computing time. The chapter describes the work procedure of the proposed detector generating algorithm. Then, it tests the algorithm on many datasets and compared it with the Exhaustive Detector Generating Algorithm (EDGA) in detail. The experimental results show that the proposed algorithm outperforms the EDGA in both detection performance and computational complexity. The major difference between growth algorithm and negative selection algorithm (NSA) is the generating method of candidate detectors.

  • Genetic Algorithms and Artificial Life

    Genetic algorithms are computational models of evolution that play a central role in many artificial-life models. We review the history and current scope of research on genetic algorithms in artificial life, giving illustrative examples in which the genetic algorithm is used to study how learning and evolution interact, and to model ecosystems, immune system, cognitive systems, and social systems. We also outline a number of open questions and future directions for genetic algorithms in artificial-life research.

  • Immune Cooperation Mechanism-Based Learning Framework

    Inspired from the immune cooperation (IC) mechanism in biological immune systems (BIS), this chapter presents an IC mechanism-based learning (ICL) framework. In this framework, a sample is expressed as an antigen-specific feature vector and an antigen-nonspecific feature vector, simulating the antigenic determinant and danger features in the BIS. The ICL framework simulates the BIS in the view of immune signals and takes full advantage of the cooperation effect of the immune signals, which improves the performance of the ICL framework. The ICL-MD model involves two modules, feature extraction and classification. In the malware detection problem, malware are taken as antigens, while benign programs are non-antigens. In order to ensure that the experimental results are reliable and the proposed ICL-MD model outperforms the GC-MD and LC-MD approaches statistically, an analysis of variance (ANOVA) was done followed by two t hypothesis tests (t-test). Comprehensive experimental results demonstrate that the ICL framework is an effective learning framework.

  • Index

    No Abstract.



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