Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 31 - 43 of 43

Full-Text Articles in Engineering

Compact Electronic Mode Stirred Chamber, Q. Dai, W. C. Chew, Lijun Jiang, B. Zhu Jan 2012

Compact Electronic Mode Stirred Chamber, Q. Dai, W. C. Chew, Lijun Jiang, B. Zhu

Electrical and Computer Engineering Faculty Research & Creative Works

A method and apparatus provide an improved EM reverberation chamber which facilitates the dynamic three-dimensional (3D) manipulation of EM field polarization within the chamber and produces a uniform field distribution inside the chamber. The chamber includes one or more walls with tunable lumped elements. A controller is provided to generate one or more control signals that are applied to the lumped elements and tunes their impedance in response to the one or more control signals. The result is to generate, within the chamber an electromagnetic field that appears to be random or pseudo-random in polarization, but which is sufficiently uniform …


The Far Field Transformation For The Antenna Modeling Based On Spherical Electric Field Measurements, P. Li, Lijun Jiang Jan 2012

The Far Field Transformation For The Antenna Modeling Based On Spherical Electric Field Measurements, P. Li, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

According to the uniqueness theorem, the far field radiation pattern of radiators such as antennas can be determined from the measured tangential electric or magnetic field components over an arbitrary Huygens' surface enclosing the radiator. In this paper, a method using the spherical electric field measurement is developed to calculate the far field radiation. Following the Schelkunoff's field equivalence principle, a spherical region surrounding the radiator is assumed and its internal space is filled up with the perfect electric conductor (PEC). The radiated field from the Huygens' equivalent electric current is zero. Referring to the Ohm-Rayleigh method and the scattering …


Modelling Challenges And Attacks To Wireless Networks, Dongsheng Zhang, Santosh Ajith Gogi, Dan S. Broyles, Egemen K. Çetinkaya, James P. G. Sterbenz Jan 2012

Modelling Challenges And Attacks To Wireless Networks, Dongsheng Zhang, Santosh Ajith Gogi, Dan S. Broyles, Egemen K. Çetinkaya, James P. G. Sterbenz

Electrical and Computer Engineering Faculty Research & Creative Works

A thorough understanding of the network behaviour when exposed to challenges is of paramount importance to construct a resilient MANET (mobile ad hoc network). However, modelling mobile and wireless networks as well as challenges against them is non-trivial due to dynamic and intermittent connectivity caused by channel fading and mobility of the nodes. We treat MANETs as time-varying graphs (TVGs) represented as a weighted adjacency matrix, in which the weights denote the link availability. We present how centrality-based attacks could affect network performance for different routing protocols. Furthermore, we model propagation loss models that represent realistic area-based challenges in wireless …


Resilience Modelling Of Networks Against Adaptive Challenges, Egemen K. Çetinkaya, Justin P. Rohrer, James P. G. Sterbenz Jan 2012

Resilience Modelling Of Networks Against Adaptive Challenges, Egemen K. Çetinkaya, Justin P. Rohrer, James P. G. Sterbenz

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.


Resilience Of Backbone Provider Networks, Egemen K. Çetinkaya, Justin P. Rohrer, James P. G. Sterbenz Jan 2012

Resilience Of Backbone Provider Networks, Egemen K. Çetinkaya, Justin P. Rohrer, James P. G. Sterbenz

Electrical and Computer Engineering Faculty Research & Creative Works

Network topology models have drawn tremendous interest from the research community. Traditionally, Internet modelling has been done at the AS or router level, in part because this information is most available from tomography and public databases such as Rocketfuel. We argue that physical topology analysis is important for a more complete understanding of Internet structure, particularly for insight into the resilience and survivability of infrastructure against attacks and natural disasters. However, complexity and lack of complete data sets has hindered accurate topology modelling. In this short paper, we show through a sample case that physical topologies have significantly different characteristics …


An Efficient Method For Computing Highly Oscillatory Physical Optics Integral, Y. M. Wu, Lijun Jiang, W. C. Chew Jan 2012

An Efficient Method For Computing Highly Oscillatory Physical Optics Integral, Y. M. Wu, Lijun Jiang, W. C. Chew

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, we use the numerical steepest descent path (numerical SDP) method in complex analysis theory to calculate the highly oscillatory physical optics (PO) integral with quadratic phase and amplitude variations on the triangular patch. The Stokes' phenomenon will occur due to various asymptotic behaviors on different domains. The stationary phase point contributions are carefully studied by the numerical SDP method and complex analysis using contour deformation. Its result agrees very well with the leading terms of the traditional asymptotic expansion. Furthermore, the resonance points and vertex points contributions from the PO integral are also extracted. Compared with traditional …


Adaptive Multi-Vehicle Area Coverage Optimization System And Method, Ryan J. Meuth, John Lyle Vian, Emad W. Saad, Donald C. Wunsch Jan 2012

Adaptive Multi-Vehicle Area Coverage Optimization System And Method, Ryan J. Meuth, John Lyle Vian, Emad W. Saad, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

A system and method for dividing a predefined search region into a map of a plurality of subregions to be searched by a plurality of mobile platforms, taking into account the capabilities of the mobile platforms and varying environmental conditions within the subregions, while minimizing the time needed to search each of the subregions. The system and method updates the map of the subregions as needed, in real time, to account for changing environmental conditions and changes in the capabilities of the mobile platforms being used. The subregions may also be determined using a desired level of probability for detecting …


Protocols For Highly-Dynamic Airborne Networks, Egemen K. Çetinkaya, Justin P. Rohrer, Abdul Jabbar, Mohammed J. F. Alenazi, Dongsheng Zhang, Dan S. Broyles, Kamakshi Sirisha Pathapati, Hemanth Narra, Kevin Peters, Santosh Ajith Gogi, James P. G. Sterbenz Jan 2012

Protocols For Highly-Dynamic Airborne Networks, Egemen K. Çetinkaya, Justin P. Rohrer, Abdul Jabbar, Mohammed J. F. Alenazi, Dongsheng Zhang, Dan S. Broyles, Kamakshi Sirisha Pathapati, Hemanth Narra, Kevin Peters, Santosh Ajith Gogi, James P. G. Sterbenz

Electrical and Computer Engineering Faculty Research & Creative Works

End-to-end communication in highly-dynamic airborne networks is challenging due to the presence of highly mobile nodes and the inherent nature of wireless communication channels. Domain-specific protocols are required that can address these challenges and enable reliable transmission of data in this environment. We develop the ANTP (airborne network and transport protocols) suite that operates in this highly-dynamic environment while utilising cross-layer optimisations between the physical, MAC, network, and transport layers. We show how each component in the ANTP suite outperforms the traditional TCP/IP and MANET protocols through simulation using ns-3. Having verified these protocols through simulation and analysis, the next …


Graphical Image Classification Combining An Evolutionary Algorithm And Binary Particle Swarm Optimization, Beibei Cheng, Renzhong Wang, Sameer K. Antani, R. Joe Stanley, George R. Thoma Jan 2012

Graphical Image Classification Combining An Evolutionary Algorithm And Binary Particle Swarm Optimization, Beibei Cheng, Renzhong Wang, Sameer K. Antani, R. Joe Stanley, George R. Thoma

Electrical and Computer Engineering Faculty Research & Creative Works

Biomedical journal articles contain a variety of image types that can be broadly classified into two categories: regular images, and graphical images. Graphical images can be further classified into four classes: diagrams, statistical figures, flow charts, and tables. Automatic figure type identification is an important step toward improved multimodal (text + image) information retrieval and clinical decision support applications. This paper describes a feature-based learning approach to automatically identify these four graphical figure types. We apply Evolutionary Algorithm (EA), Binary Particle Swarm Optimization (BPSO) and a hybrid of EA and BPSO (EABPSO) methods to select an optimal subset of extracted …


Modified Cellular Simultaneous Recurrent Networks With Cellular Particle Swarm Optimization, Tae-Hyung Kim, Donald C. Wunsch Jan 2012

Modified Cellular Simultaneous Recurrent Networks With Cellular Particle Swarm Optimization, Tae-Hyung Kim, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

A cellular simultaneous recurrent network (CSRN) [1-11] is a neural network architecture that uses conventional simultaneous recurrent networks (SRNs), or cells in a cellular structure. The cellular structure adds complexity, so the training of CSRNs is far more challenging than that of conventional SRNs. Computer Go serves as an excellent test bed for CSRNs because of its clear-cut objective. For the training data, we developed an accurate theoretical foundation and game tree for the 2x2 game board. The conventional CSRN architecture suffers from the multi-valued function problem; our modified CSRN architecture overcomes the problem by employing ternary coding of the …


Promoting Search Diversity In Ant Colony Optimization With Stubborn Ants, Ashraf M. Abdelbar, Donald C. Wunsch Jan 2012

Promoting Search Diversity In Ant Colony Optimization With Stubborn Ants, Ashraf M. Abdelbar, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

In ant colony optimization (ACO) methods, including Ant System and MAX-MIN Ant System, each ant stochastically generates its candidate solution, in a given iteration, based on the same pheromone and heuristic information as every other ant. Stubborn ants is an ACO variation in which if an ant generates a particular candidate solution in a given iteration, then the components of that solution will have a higher probability of being selected in the candidate solution generated by that ant in the next iteration. In previous work, we evaluated this variation with the M M AS Ant System model and the Traveling …


Software Education For Changing Computing Technology, Steve Eugene Watkins Jan 2012

Software Education For Changing Computing Technology, Steve Eugene Watkins

Electrical and Computer Engineering Faculty Research & Creative Works

Software education has been dominated by procedural-based programming languages such as BASIC, FORTRAN and C, and before that, the assembly languages. The primary reason that this methodology has held such sway in education was that it allowed quick action for the first major users of computers. This approach was the most straight-forward means of utilizing hardware that, over the last 60 years, has gotten faster and more complex through smaller and more densely packed elements. However, traditional advances as described by Moore’s law are now reaching both physical and economic limits. Pure object-oriented programming approaches offer benefits for hardware that …


Video Surveillance Analysis As A Context For Embedded Systems And Artificial Intelligence Education, Steve Eugene Watkins Jan 2012

Video Surveillance Analysis As A Context For Embedded Systems And Artificial Intelligence Education, Steve Eugene Watkins

Electrical and Computer Engineering Faculty Research & Creative Works

Video surveillance analysis is an exciting, active research area and an important industry application. It is a multidisciplinary field that draws on signal processing, embedded systems, and artificial intelligence topics, and is well suited to motivate student engagement in all of these areas. This paper describes the benefits of the convergence of these topics, presents a versatile video surveillance analysis process that can be used as the basis for many investigations, and presents two template exercises in tracking detected targets and in evaluating runtime efficiency. The processing chain consists of detecting changes in a scene and locating and characterizing the …