Organizing

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Organizing is the act of rearranging elements following one or more rules. (Wikipedia.org)






Conferences related to Organizing

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (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 full 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.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


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Periodicals related to Organizing

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Circuits and Systems Magazine, IEEE


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


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Most published Xplore authors for Organizing

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Xplore Articles related to Organizing

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On reducing complexity of rectangle obstacle minimum number estimation to plan IEEE 802.11a indoor systems by 2D ray-tracing tool

2005 15th International Crimean Conference Microwave & Telecommunication Technology, 2005

Presented in this paper is a new method for ray tracing acceleration. It is based on decreasing complexity of obstacles minimum number calculation in order to predict the field strength attenuation of vertical polarized OFDM signals of IEEE 802.11a standard. Obstacles distribution is proposed in uniform random.


Adaptation of self organizing network for ASL recognition

Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ, 1993

None


Clustering ECG complexes using Hermite functions and self-organizing maps

IEEE Transactions on Biomedical Engineering, 2000

An integrated method for clustering of QRS complexes is presented which includes basis function representation and self-organizing neural networks (NN's). Each QRS complex is decomposed into Hermite basis functions and the resulting coefficients and width parameter are used to represent the complex. By means of this representation, unsupervised self-organizing NNs are employed to cluster the data into 25 groups. Using ...


A comparison between habituation and conscience mechanism in self-organizing maps

IEEE Transactions on Neural Networks, 2006

In this letter, a preliminary study of habituation in self-organizing networks is reported. The habituation model implemented allows us to obtain a faster learning process and better clustering performances. The habituable neuron is a generalization of the typical neuron and can be used in many self-organizing network models. The habituation mechanism is implemented in a SOM and the clustering performances ...


A self-organising Hopfield network for pattern recognition

ETFA '94. 1994 IEEE Symposium on Emerging Technologies and Factory Automation. (SEIKEN) Symposium) -Novel Disciplines for the Next Century- Proceedings, 1994

Although the analogue Hopfield network has been shown to be a plausible computational mechanism for solving combinatorial optimization problems such as the traveling salesman problem and graph partitioning problem, it has not been effective in solving the object recognition problem by attributed relational graph matching. Recently, we proposed an improved Hopfield model to generate homomorphic mapping. However, in order to ...


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Educational Resources on Organizing

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IEEE-USA E-Books

  • On reducing complexity of rectangle obstacle minimum number estimation to plan IEEE 802.11a indoor systems by 2D ray-tracing tool

    Presented in this paper is a new method for ray tracing acceleration. It is based on decreasing complexity of obstacles minimum number calculation in order to predict the field strength attenuation of vertical polarized OFDM signals of IEEE 802.11a standard. Obstacles distribution is proposed in uniform random.

  • Adaptation of self organizing network for ASL recognition

    None

  • Clustering ECG complexes using Hermite functions and self-organizing maps

    An integrated method for clustering of QRS complexes is presented which includes basis function representation and self-organizing neural networks (NN's). Each QRS complex is decomposed into Hermite basis functions and the resulting coefficients and width parameter are used to represent the complex. By means of this representation, unsupervised self-organizing NNs are employed to cluster the data into 25 groups. Using the MIT-BIH arrhythmia database, the resulting clusters are found to exhibit a very low degree of misclassification (1.5%). The integrated method outperforms, on the MIT-BIH database, both a published supervised learning method as well as a conventional template cross- correlation clustering method.

  • A comparison between habituation and conscience mechanism in self-organizing maps

    In this letter, a preliminary study of habituation in self-organizing networks is reported. The habituation model implemented allows us to obtain a faster learning process and better clustering performances. The habituable neuron is a generalization of the typical neuron and can be used in many self-organizing network models. The habituation mechanism is implemented in a SOM and the clustering performances of the network are compared to the conscience learning mechanism that follows roughly the same principle but is less sophisticated

  • A self-organising Hopfield network for pattern recognition

    Although the analogue Hopfield network has been shown to be a plausible computational mechanism for solving combinatorial optimization problems such as the traveling salesman problem and graph partitioning problem, it has not been effective in solving the object recognition problem by attributed relational graph matching. Recently, we proposed an improved Hopfield model to generate homomorphic mapping. However, in order to generate the desired homomorphic mapping, a number of parameters have to be fine tuned. In this paper, a self-organizing Hopfield network is introduced so that the constraint parameter can be learnt adaptively as the output evolves from the initial state to final state. The Lyapunov indirect method based learning approach is employed to self-organise the network constraint parameter. The proposed self- organizing network is applied to solve circle pattern recognition problem.<<ETX>>

  • Layer net: a new self-organizing network protocol

    A protocol is proposed for the generation and operation of a self-organizing multihop radio network, which is capable of creating its own topology and transmission schedules dynamically and in a distributed manner. The protocol commences operation in a random-access mode of operation and then gradually switches over to a synchronous schedules mode of operation. The protocol was simulated up to the end of the scheduling phase. This included the generation of node positions, tree formation, addition of links and the scheduling of these links. The percentage increase in average hop distance between nodes in the generated network over the fully connected network (the network with all possible links between physical neighbors) was found to vary between 10% to 15%. Empirically, it appears that a schedule length that is twice the maximum degree is sufficient to allow the distributed generation of a conflict-free schedule.<<ETX>>

  • Self‐Organizing Networks (SON)

    None

  • Neural control of the NASA Langley 16-foot transonic tunnel

    Experimental results of controlling the Mach number in a transonic wind tunnel with a system of artificial neural networks are presented. Kohonen self- organizing maps are used to cluster the local tunnel dynamics and thereby predict the Mach number response to candidate control input sequences. The sequence minimizing the predicted error between the desired and actual Mach number is applied to the tunnel fan drive system. Comparison is made to gain scheduled automatic control currently in use.

  • Manifestations Of A Cube

    None

  • A Computer-Aided Method for Scoliosis Fusion Level Selection by a Topologicaly Ordered Self Organizing Kohonen Network

    Surgical instrumentation for the Adolescent idiopathic scoliosis (AIS) is a complex procedure involving many difficult decisions. Selection of the appropriate fusion level remains one of the most challenging decisions in scoliosis surgery. Currently, the Lenke classification model is generally followed in surgical planning. The purpose of our study is to investigate a computer aided method for Lenke classification and scoliosis fusion level selection. The method uses a self organizing neural network trained on a large database of surgically treated AIS cases. The neural network produces two maps, one of Lenke classes and the other of fusion levels. These two maps show that the Lenke classes are associated with the the proper fusion level categories everywhere in the map except at the Lenke class transitions. The topological ordering of the Cobb angles in the neural network justifies determining a patient scoliotic treatment instrumentation using directly the fusion level map rather than via the Lenke classification.



Standards related to Organizing

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No standards are currently tagged "Organizing"