3,950 resources related to Complex networks
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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.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.
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.
IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
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 ...
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
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 ...
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.
Tsinghua Science and Technology, 2007
The theory of complex networks was used to classify public transport networks into public transportation route networks, public transportation transfer networks, and bus station networks. The practical significance of the network parameters was then analyzed. The public transport networks in Langfang, Jining, and Dalian were then chosen as specific research cases. The results show that the public transportation networks have ...
NDES 2012; Nonlinear Dynamics of Electronic Systems, 2012
Stability of a power grid’s synchronous operating mode is crucial to its reliable function. We quantify the stability of this operating mode in different humble power grid layouts that we numerically simulate employing a widely used electro-mechanical model. The method with which we quantify stability delivers a single number, called basin stability, for each node in a grid. A node ...
2014 Seventh International Joint Conference on Computational Sciences and Optimization, 2014
This paper proposes a public opinion propagation model on social networks based on SEIR. This model consider impacts of the node degree, social networks peculiar dissemination rules and users' habits, utilizes epidemiology and complex network theories, and establishes the dynamic evolution equations by building mathematical models of informed probability and disseminate probability. Simulation results show that pages of updating information ...
2013 Ninth International Conference on Natural Computation (ICNC), 2013
We construct a climate network of extreme rainfall over eastern Asia during the period of 1971 to 2000. The study provides valuable insights into the spatial structure of 90th percentile rainfall events during the East Asia Summer Monsoon in June, July, and August (JJA). We calculate degree distribution which is one of the most important and simplest measures of networks ...
2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), 2017
In this paper, we introduce a new random walk on undirected networks, which transition probabilities depend on the degree distribution of neighbor nodes. We have derived an analytical expression for MFPT between two nodes, and obtained an explicit solution to the average MFPT in the network with at any node. Further we provided a low bound for GMFPT by Cauthy's ...
Part II: Complex Networks, Cyberwar, and Countermeasures - Cybersecurity in a Hyperconnected World
Complex Valued Neural Networks: Theory and Applications
Complex-Valued Neural Networks
IEEE Themes - Social dynamics in peer-to-peer sharing networks
Adaptive Learning and Optimization for MI: From the Foundations to Complex Systems - Haibo He - WCCI 2016
Fragility of Interconnected Cyber-Physical Systems - Marios M. Polycarpou - WCCI 2016
Planning for Complex High-Level Missions
ICASSP 2010 - Advances in Neural Engineering
Philippe Wolf: Designing Secure and Private Complex Data Systems - WF-IoT 2015
Octopus-Inspired Robot Can Grasp, Crawl and Swim -- IEEE Spectrum Report
ICASSP 2010 - Radar Imaging of Building Interiors
A Conversation About Mind/Brain Research and AI Development: IEEE TechEthics Interview
MicroApps: Simulation of Airborne, Space-Borne and Ship-Based Radar Systems with Complex Environment (Agilent EEsof)
IEEE Young Professionals Leadership Excellence Webinar
Multiple Sensor Fault Detection and Isolation in Complex Distributed Dynamical Systems
A Fully-Integrated SOI CMOS Complex-Impedance Detector for Matching Network Tuning in LTE Power Amplifier: RFIC Interactive Forum
Soumya Kanti Datta: Connected Cars as Complex Systems - IoT Challenges Industry Forum Panel: WF IoT 2016
Safety Synergies and Engineering Opportunities Complex Systems in Life Sciences
Implantable Wireless Medical Devices and Systems
The theory of complex networks was used to classify public transport networks into public transportation route networks, public transportation transfer networks, and bus station networks. The practical significance of the network parameters was then analyzed. The public transport networks in Langfang, Jining, and Dalian were then chosen as specific research cases. The results show that the public transportation networks have the characteristics of complex networks. In addition, the urban transportation network parameters all significantly affect the accessibility, convenience, and terrorist security capability of the urban public transportation network. The results link the findings with the actual situations to explore means to solve transportation system problems.
Stability of a power grid’s synchronous operating mode is crucial to its reliable function. We quantify the stability of this operating mode in different humble power grid layouts that we numerically simulate employing a widely used electro-mechanical model. The method with which we quantify stability delivers a single number, called basin stability, for each node in a grid. A node with a poor basin stability is a weak point, as a rather small perturbation to this node would suffice to destroy the synchrony of the whole system and make it collapse. Using tools from the theory of complex networks, we statistically evaluate an ensemble of grids to identify topological classes of nodes whose members typically have the same (poor or large) value of basin stability.
This paper proposes a public opinion propagation model on social networks based on SEIR. This model consider impacts of the node degree, social networks peculiar dissemination rules and users' habits, utilizes epidemiology and complex network theories, and establishes the dynamic evolution equations by building mathematical models of informed probability and disseminate probability. Simulation results show that pages of updating information can affect the propagation behavior of S, E nodes directly, the value of spread probability is the key impact factor of propagation velocity and scale. Additional, the number of infected nodes should be maintained at an appropriate range in order to make the maximum range of public opinion propagation.
We construct a climate network of extreme rainfall over eastern Asia during the period of 1971 to 2000. The study provides valuable insights into the spatial structure of 90th percentile rainfall events during the East Asia Summer Monsoon in June, July, and August (JJA). We calculate degree distribution which is one of the most important and simplest measures of networks from undirected network and directed network. The degree spatial pattern of undirected network is quite different among north, middle and south of eastern Asia, and research indicates the spatial scale of extreme rainfalls synchronization is large over inland regions with non-typical monsoon climate than that of coastal regions with typical monsoon climate. The degree spatial pattern of directed network manifests the moisture sinks and the moisture sources. The result might be great helpful to understanding the dynamical mechanism of extreme rainfalls from a new aspect.
In this paper, we introduce a new random walk on undirected networks, which transition probabilities depend on the degree distribution of neighbor nodes. We have derived an analytical expression for MFPT between two nodes, and obtained an explicit solution to the average MFPT in the network with at any node. Further we provided a low bound for GMFPT by Cauthy's inequality, and the lower bound is sharp and can be attained in complete graph.
Road network matching has played an important role in road network extraction and update, yet has got extensive researching during the recent decades. Differ from previous road matching methods focus mainly on the city areas, which have accurate and regular road networks, this paper aim to address the matching between incomplete ground survey road network and extracted road network from remote sensing images. Specifically, we propose an extending line based matching scheme to calculate the road primitive similarity by taking into account the surrounding connections and contextual information. The experimental results show that the proposed method is able to provide high quality matching results, even the ground survey data are very different from the extracted road network of the satellite. Thus makes it possible to implement the road network update for the wide rural regions without interested ground survey road network data.
Two networks were extracted from two large semantic networks, HowNet and synsets of WordNet, based on conceptual relations. Analysis of these networks shows that they are complex networks with features of small-world and scale- free. Results also show that semantic networks are similar to brain networks: (a) exponents of power law degree distributions are between 1.0 and 2.0, while exponents of brain function networks are around 2.0; (b) semantic networks have hierarchical structures while brain networks exhibit features of segregation and integration; (c) semantic networks are disassortative, in this not similar to brain function networks but similar to neural networks. Similarities between semantic networks and brain networks suggest that they may obey similar dynamic rules
Large-scale power grid will inevitably become a new trend in the development of power systems, thus the power grid structure will become increasingly complex. The traditional topology analysis method can not meet the requirements of real-time. Therefore a parallel topology analysis preconditioning strategy based on community discovery algorithm was proposed. This strategy effectively utilized the maximum edge betweenness to achieve the topological division of the power grid, which laid the foundation for the parallel topology formation mechanism between the multiple regions of the power grid. On the basis of topological division, the regional grid can be parallel and asynchronous to form the topology, thus according to certain communication and coordination rules, the construction of the global power grid topology can be completed through the distributed computing, which can significantly improve the efficiency of topology analysis.
This paper tries to gain a more comprehensive understanding of the logistics discipline, supply chain optimization theory, and the complex networks. We formulate the inference problem to the cascade transmission model as the diffusion network inference problem. The inference model is also given out. In the experiment, our algorithm's performance is accepted. The precision is decreasing when the recall is increasing. The research can be used to reveal some mechanisms and the foundation of the logistics systems, supply chain system for the future cloud-based supply chain logistics service.
The voltage drop in a feeder is aggravated by the imbalance of single-phase loads connected to the phases of a multi-phase distribution network can be appreciable. It is particularly important In long radial low voltage feeders when the voltage drop in the feeder Is the major sizing criterion. This applies equally to existing or to new plant. Significant enhancement in the voltage performance of a multi-phase feeder feeding single-phase customers may be obtained by configuring the customer connection schedule in an optimal way. A method of achieving this is proposed in this paper. The method is based on the principle of superposition and is applied to a probabilistic voltage drop calculation procedure. Simple examples are given to illustrate the method but it has been applied to more complex networks in practice. Although the method was developed for low voltage feeders, the principles are applicable at any voltage level with some modification.
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Lawrence Livermore National Laboratory
Siri - Data Engineer Machine Learning Systems
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HPC Senior Network Engineer
Lawrence Livermore National Laboratory
Worldwide Readiness Program Manager
Director of Mission Operations (0349U)
University of California Berkeley
Senior Nonproliferation Analyst
Lawrence Livermore National Laboratory