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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2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (TRANSDUCERS & EUROSENSORS XXXIII)

The world's premiere conference in MEMS sensors, actuators and integrated micro and nano systems welcomes you to attend this four-day event showcasing major technological, scientific and commercial breakthroughs in mechanical, optical, chemical and biological devices and systems using micro and nanotechnology.The major areas of activity in the development of Transducers solicited and expected at this conference include but are not limited to: Bio, Medical, Chemical, and Micro Total Analysis Systems Fabrication and Packaging Mechanical and Physical Sensors Materials and Characterization Design, Simulation and Theory Actuators Optical MEMS RF MEMS Nanotechnology Energy and Power


2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA)

The goal of the 14th ASME/IEEE MESA2018 is to bring together experts from the fields of mechatronic and embedded systems, disseminate the recent advances in the area, discuss future research directions, and exchange application experience. The main achievement of MESA2018 is to bring out and highlight the latest research results and developments in the IoT (Internet of Things) era in the field of mechatronics and embedded systems.


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions 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 postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob)

The RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics - BioRob 2018 - is a joint effort of the two IEEE Societies of Robotics and Automation - RAS - and Engineering in Medicine and Biology - EMBS.BioRob covers both theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. The primary focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems for many different applications; and to develop novel nano, micro-, macro- devices that can act upon, substitute parts of, and assist human beings in prevention, diagnosis, surgery, prosthetics, rehabilitation.


2018 Chinese Control And Decision Conference (CCDC)

Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2017 29th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2016 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2015 27th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2014 26th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2013 25th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2012 24th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2011 23rd Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2010 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies

  • 2009 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2008 Chinese Control and Decision Conference (CCDC)


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Periodicals related to Immune system

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Immune system

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Xplore Articles related to Immune system

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A security architecture based on immune agents for MANET

[{u'author_order': 1, u'affiliation': u"Xi'an Research Inst. of Hi-tech Hongqing Town, 710025, China", u'full_name': u'Xia Ye'}, {u'author_order': 2, u'affiliation': u"Xi'an Research Inst. of Hi-tech Hongqing Town, 710025, China", u'full_name': u'Junshan Li'}] 2010 International Conference on Wireless Communication and Sensor Computing (ICWCSC), None

In this paper, a security architecture is designed based on the artificial immune system by using multi-agents in mobile ad hoc networks. There are two types of immunity-based agents: one is detection agent and the other is counterattack agent. Detection agents take charge of monitoring the nodes in the network, detecting the anomaly activities, and taking response to the invader, ...


A Hybrid AIS-based Algorithm for Solving Job Shop Scheduling Problem

[{u'author_order': 1, u'affiliation': u'Sch. of Bus. Adm., Jingdezhen Ceramic Inst., Jingdezhen, China', u'full_name': u'Yunli Zhu'}, {u'author_order': 2, u'full_name': u'Xueni Qiu'}] 2012 International Conference on Communication Systems and Network Technologies, None

Artificial Immune Systems (AIS) is a relatively new metaheuristics inspired by the human immune system. In this paper, we investigate two theories of AIS, namely, clonal selection theory and immune network theory, and integrate them with Particle Swarm Optimization (PSO) to solve the classical NP-hard optimization problem - the Job Shop Scheduling Problem (JSSP) with the objective of makespan minimization. ...


Influences of probiotics to IL-7 mRNA expression in local mucosal tissues of gastrointestinal and respiratory of chickens

[{u'author_order': 1, u'affiliation': u'College of Veterinary Medicine, Northeast Agricultural University, Heilongjiang Province Haerbin, 150030, China', u'full_name': u'Yue Shao'}, {u'author_order': 2, u'affiliation': u'College of Veterinary Medicine, Northeast Agricultural University, Heilongjiang Province Haerbin, 150030, China', u'full_name': u'Shi-Min Zheng'}] 2011 International Conference on Remote Sensing, Environment and Transportation Engineering, None

According to the chicken's IL-7 gene sequences available in GenBank, a specific primer pairs was designed by Primer. To appraisement and sequencing, the total RNA extraction in local mucosal tissues of gastrointestinal and respiratory of chickens after administration probiotics, the products were amplification by the RT-PCR. The levels of IL-7 mRNA expression were analyzed by real-time fluorescence quantitative PCR. As ...


Registration of low molecular weight environmental toxins with total internal reflection ellipsometry

[{u'author_order': 1, u'affiliation': u'Material Eng. Res. Inst., Sheffield Hallam Univ., Sheffied, UK', u'full_name': u'A. V. Nabok'}, {u'author_order': 2, u'affiliation': u'Material Eng. Res. Inst., Sheffield Hallam Univ., Sheffied, UK', u'full_name': u'Tsargorodskaya A'}, {u'author_order': 3, u'affiliation': u'Material Eng. Res. Inst., Sheffield Hallam Univ., Sheffied, UK', u'full_name': u'A. Holloway'}, {u'author_order': 4, u'full_name': u'N. F. Starodub'}, {u'author_order': 5, u'full_name': u'A. Demchenko'}, {u'author_order': 6, u'full_name': u'O. Gojster'}] Proceedings of IEEE Sensors, 2004., None

A very sensitive optical method of total internal reflection ellipsometry (TIRE) in conjunction with an immune assay approach were exploited for the registration of low molecular weight environmental toxins, such as simazine, atrazine and T2 mycotoxin in a wide range of concentrations down to 0.1 ng/ml. QCM impedance measurements provided additional information on the mechanism of T2 binding.


Comparison and correlation of ESD HBM (human body model) obtained between TLPG, wafer-level, and package-level tests

[{u'author_order': 1, u'affiliation': u'United Microelectron. Corp., Hsinchu, Taiwan', u'full_name': u'M. T. Lee'}, {u'author_order': 2, u'full_name': u'C. H. Liu'}, {u'author_order': 3, u'full_name': u'Chung-Chiang Lin'}, {u'author_order': 4, u'full_name': u'Jin-Tau Chou'}, {u'author_order': 5, u'full_name': u'H. T. H. Tang'}, {u'author_order': 6, u'full_name': u'Y. J. Chang'}, {u'author_order': 7, u'full_name': u'K. Y. Fu'}] Electrical Overstress/Electrostatic Discharge Symposium Proceedings 2000 (IEEE Cat. No.00TH8476), None

In this work, we have found that the TLPG (transmission line pulse generator) can be well correlated to the HBM by adding a parasitic series resistance obtained simply from the least squares error solution method or numerically from a simplified LEM (lumped element model) method. Also, experimental evidence suggests that the HBM is best described by the log normal distribution ...


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Educational Resources on Immune system

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eLearning

No eLearning Articles are currently tagged "Immune system"

IEEE.tv Videos

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IEEE-USA E-Books

  • Enact Organizational Change

    Change is hard for almost all of us. Depending upon how entrenched the slide design practices are in an organization, a presenter may find varying reactions from the audience of resistance, acceptance, and excitement upon deploying the alternative model of design outlined in this chapter. Engineers and other technical experts become quite excited about the possibilities of reinvigorating their presentations. They begin to process how the new techniques will actually be received at work or in the classroom. The chapter explains the four phases of this process: inspired, incredulous, assessed, and accepting, maybe to the point of being evangelical. Being able to tailor content, design, purpose, and knowledge makes it all the more possible for the presenter to enact change where he works. The authors suggest that change is good, especially when it is enacted by people who are good problem solvers.

  • Hong Kong's eHR Sharing System

  • 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.

  • Electrical Safety Aspects of the Resistance Property of Materials

    Electrical shock is caused by the passage of electrical current through the body. Electrical burns can be among the most severe because the current passes through the body and internal organs. The amount of current that flows through the body is estimated in many sources as the ratio of the applied voltage to the resistance to current flow presented by the human body. This chapter examines the phenomenon of body resistance and its inverse, body conductance. In the case of shock hazards, circuit resistance in combination with body resistance will help to determine the magnitude and duration of the exposure to voltage and current. The hazards associated with high power industrial resistors are primarily due to their open construction, which is necessary for cooling. The chapter talks about sheet resitivity, spreading resistance, particle conductivity, and cable resistance.

  • 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.

  • An Artificial Intelligence Perspective on Ensuring Cyber¿¿¿Assurance for the Internet of Things

    The technology challenge facing the Internet of Things (IoT) requires a multi¿¿¿disciplined approach to artificial intelligence (AI) systems engineering and it is critical that the IoT effort address cyber¿¿¿assurance (e.g., embedded, automatic security processing) for rapid responses to significant IoT activities. This chapter briefly provides the possibility of the usage of AI for cyber¿¿¿assurance for the IoT. The IoT offers an interactive connection between the physical world and computer systems in order to obtain improved efficiency, accuracy, and economic advantages. An AI approach does not demand the discarding of current IoT systems to start anew. On the contrary, it enables the utilization of existing technology assets by integrating select functionality into the IoT. Although it is highly debated that the technology influence in our daily lives may make us ever more dependent on technology, the growth of AI within the IoT will also continue.

  • Consumption

    Never forget that the consumer is the key to the success of the smart grid. If the consumer cannot feel the benefit, the smart grid will never become a self- sustaining reality. Demand-side management has a long history, and lessons have been learned about consumer innovation with respect to smart grid concepts. Consumer surveys related to a smart grid show intriguing results. Similar to the development of the Internet, the best new ideas and solutions will not come from academia and researchers, but from practical problems solved by the average consumer. A comprehensive review of aspects of the future power grid that will directly touch the consumer are discussed. The consumer has also been a producer of power long before the term ?>smart grid?> was envisioned. The basics of microgrid generation systems and the reason for their limited communication requirements are explained in order to lay the foundation for further discussion of microgrids.

  • 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.

  • Standard for Patient Health Summary

  • Biologically Inspired Paradigms in Wireless Networks

    This chapter contains sections titled: Biologically Inspired Model for Securing Hybrid Mobile Ad Hoc Networks Biologically Inspired Routing in Ad Hoc Networks Analytical Modeling of AntNet as Adaptive Mobile Agent Based Routing Biologically Inspired Algorithm for Optimum Multicasting Biologically Inspired (BI) Distributed Topology Control Optimization of Mobile Agent Routing in Sensor Networks Epidemic Routing Nano‐Networks Genetic Algorithm Based Dynamic Topology Reconfiguration in Cellular Multihop Wireless Networks References



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