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Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve

Recurrent Neural Network Based Predictions of Elephant Migra...

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International Joint Conference on Neural Networks (IJCNN)

作者： P. Palangpour G.K. Venayagamoorthy K. Duffy Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA Centre for Systems Research Durban Institute of Technology Durban South Africa

A large portion of South Africa's elephant population can be found on small wildlife reserves. When confined to enclosed reserves the elephant densities are much higher than observed in the wild. The large nutritional demands and destructive foraging behavior of elephants threaten rare species of vegetation. If conservation management is to protect threatened species of vegetation, knowing how long elephants will stay in one area of the reserve as well as which area they will move to next is essential. The goal of this study is to train a recurrent neural network (RNN) to continuously predict an elephant herd's next position in the Pongola Game Reserve. Accurate predictions would provide a useful tool in assessing future impact of elephant populations on different areas of the reserve. The particle swarm optimization (PSO) algorithm is used to adapt the weights of the neural network. Results are presented to show the effectiveness of RNN-PSO for elephant migration prediction.

关键词： Recurrent neural networks Intelligent networks Vegetation Neural networks Africa Wildlife Particle swarm optimization Power system management Predictive models Protection

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A fault-tolerant P-Q decoupled control scheme for static synchronous series compensator

A fault-tolerant P-Q decoupled control scheme for static syn...

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IEEE General Meeting Power& Energy Society

作者： Wei Qiao R.G. Harley G.K. Venayagamoorthy Intelligent Power Infrastructure Consortium (IPIC) in the School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA University of KwaZulu-Natal Durban South Africa Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA

Control of nonlinear devices in power systems relies on the availability and the quality of sensor measurements. Measurements can be corrupted or interrupted due to sensor failure, broken or bad connections, bad communication, or malfunction of some hardware or software (referred to as missing sensor measurements in this paper). This paper proposes a fault-tolerant control scheme (FTCS) for a static synchronous series compensator (SSSC). This FTCS consists of a sensor evaluation and (missing sensor) restoration scheme (SERS) cascaded with a P-Q decoupled control scheme (PQDC). It is able to provide effective control to the SSSC when single or multiple crucial sensor measurements are unavailable. Simulation studies are carried out to examine the validity of the proposed FTCS. During the simulations, single and multiple phase current sensors are assumed to be missing, respectively. Results show that the SERS restores the missing data correctly during steady and transient states, including small and large disturbances, and unbalanced three-phase operation. Thus, the FTCS continuously provides effective control to the SSSC with and without missing sensor measurements

关键词： Fault tolerance Communication system control Software measurement Nonlinear control systems Control systems Power system faults Power system measurements Power system control Power systems Sensor systems

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The robot software communications architecture (RSCA): embedded middleware for networked service robots 06

The robot software communications architecture (RSCA): embed...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： Seongsoo Hong Jaesoo Lee Hyeonsang Eom Gwangil Jeon Real-Time Operation Systems Laboratory School of Electrical Engineering and Computer Science Seoul National University of Technology Seoul South Korea Distributed Information Processing Laboratory School of Computer Science and Computer Engineering Seoul National University of Technology Seoul South Korea Department of Computer Engineering Korea Polytechnic University Siheung Gyeonggi South Korea

ISBN: (纸本)9781424400546

In this paper, we present a robot middleware technology named robot software communications architecture (RSCA) for its use in networked home service robots. The RSCA provides a standard operating environment for the robot applications together with a framework that expedites the development of such applications. The operating environment is comprised of a real-time operating system, a communication middleware, and a deployment middleware. Particularly, the deployment middleware supports the reconfiguration of component-based robot applications including installation, creation, start, stop, tear-down, and un-installation. In designing RSCA, we have adopted a middleware called SCA from the software defined radio domain and extend it since the original SCA lacks the real-time guarantees and appropriate event services. We have fully implemented RSCA and performed measurements to quantify its run-time performance. Our implementation clearly shows the viability of RSCA

关键词： Embedded software computer architecture Middleware Service robots Application software Standards development real time systems Operating systems Software radio Performance evaluation

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SMRP: Fast restoration of multicast sessions from persistent failures

SMRP: Fast restoration of multicast sessions from persistent...

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2005 International Conference on Dependable Systems and Networks

作者： Wu, Jian Shin, Kang G. Real-Time Computing Laboratory Department of Electrical Engineering and Computer Science University of Michigan

The growing reliance of networked applications on timely and reliable data transfer requires the underlying networking infrastructure to provide adequate services even in the presence of "persistent" failures (e.g., broken links/routers). It is much more difficult to meet this requirement for multicast sessions than for unicast communications because any on-tree component failure may often cause simultaneous service disruptions to multiple receivers. This paper presents a new multicast routing protocol, called the Survivable Multicast Routing Protocol (SMRP), which facilitates fast recovery of multicast sessions in face of persistent failures via local detour paths. Our evaluation results show that SMRP trades end-to-end delay and resource usage for short, and hence fast, recovery paths. For example, under a certain set of parameter values, SMRP shortens the recovery path by 20% with only a 5% increase of end-to-end delay and resource usage. Moreover, several design enhancements have made SMRP efficient, robust, flexible and scalable. © 2005 IEEE.

关键词： Multicasting

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Priority refinement for dependent tasks in large embedded real-time software

Priority refinement for dependent tasks in large embedded re...

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11th IEEE real-time and Embedded Technology and Applications Symposium, RTAS 2005

作者： Merrick, Jeffrey R. Wang, Shige Shin, Kong G. Song, Jing Milam, William Real-Time Computing Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109-2122 Ford Motor Company

In a large embedded real-time system, priority assignment can greatly affect the timing behavior - which can consequently affect the overall behavior - of the system. Thus, it is crucial for model-based design of a large embedded real-time system to be able to intelligently assign priorities such that tasks can meet their deadlines. In this paper, we propose a priority-refinement method for dependent tasks distributed throughout a heterogeneous multiprocessor environment. In this method, we refine an initial priority assignment iteratively using the simulated annealing technique with tasks' latest completion times (LCT). Our evaluations, based on randomly-generated models, have shown that the refinement method outperforms other priority-assignment schemes and scales well for large, complex, real-time systems. This method has been implemented in the Automatic Integration of Reusable Embedded Software (AIRES) toolkit and has been successfully applied to a vehicle system control application. © 2005 IEEE.

关键词： Embedded systems

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Energy-efficient self-adapting online linear forecasting for wireless sensor network applications

Energy-efficient self-adapting online linear forecasting for...

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2nd IEEE International Conference on Mobile Ad-hoc and Sensor Systems, MASS 2005

作者： Lim, Jai-Jin Shin, Kang G. Real-Time Computing Laboratory Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109-2122 United States

ISBN: (纸本)0780394666

New energy-efficient linear forecasting methods are proposed for various sensor network applications, including in-network data aggregation and mining. The proposed methods are designed to minimize the number of trend changes for a given application-specified forecast quality metric. They also self-adjust the model parameters, the slope and the intercept, based on the forecast errors observed via measurements. As a result, they incur O(1) space and time overheads, a critical advantage for resource-limited wireless sensors. An extensive simulation study based on real-world and synthetic time-series data shows that the proposed methods reduce the number of trend changes by 20%-50% over the existing well-known methods for a given forecast quality metric. That is, they are more predictive than the others with the same forecast quality metric. © 2005 IEEE.

关键词： Telecommunication networks

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An intra-task DVS algorithm exploiting program path locality for real-time embedded systems

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12th International Conference on High Performance computing, HiPC 2005

作者： Kumar, G. Sudha Anil Manimaran, G. Real-Time Computing and Networking Laboratory Dept. of Electrical and Computer Engineering Iowa State University Ames IA 50011 United States

ISBN: (纸本)3540309365

In this paper, we present a novel intra-task Dynamic Voltage Scheduling (DVS) algorithm based on the knowledge of frequently executed paths in the control flow graph for real-time embedded systems. The basic idea is to construct a common path composing all the frequently executed paths (hot-paths) and perform DVS scheduling based on this common path, rather than the most probable path. We compare the performance (energy consumption) of our algorithm with a recently proposed algorithm. Our simulation results show that the proposed algorithm performs better than the existing algorithm for most of the simulated conditions. We also identify interesting research problems in this context. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Algorithms

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Development of a Computational Intelligence course for undergraduate and graduate students

Development of a Computational Intelligence course for under...

引用

2005 ASEE Annual Conference and Exposition: The Changing Landscape of engineering and Technology Education in a Global World

作者： Venayagamoorthy, Ganesh K. Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409 United States

This paper presents the design, implementation and experiences of a new three hour experimental course taught for a joint undergraduate and graduate class at the University of Missouri-Rolla, USA. This course is unique in the sense that it covers the four main paradigms of Computational Intelligence (CI) and their integration to develop hybrid algorithms. The paradigms covered are artificial neural networks (ANNs), evolutionary computing (EC), swarm intelligence (SI) and fuzzy systems (FS). While individual CI paradigms have been applied successfully to solve real-world problems, the current trend is to develop hybrids of paradigms, since no one paradigm is superior to the others in all situations. In doing so, we are able capitalize on the respective strengths of the components of the hybrid CI system and eliminate weakness of individual components. This course is an introductory level course and will lead students to courses focused in depth in a particular paradigm (ANNs, EC, FS, SI). The idea of an integrated course like this is to expose students to different CI paradigms at an early stage in their degree program. The paper presents the course curriculum, tools used in teaching the course and how the assessments of the students' learning were carried out in this course.

关键词： Artificial intelligence

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Improving the performance of particle swarm optimization using adaptive critics designs

Improving the performance of particle swarm optimization usi...

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2005 IEEE Swarm Intelligence Symposium, SIS 2005

作者： Doctor, Sheetal Venayagamoorthy, Ganesh K. Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409 United States

ISBN: (纸本)0780389166

Swarm intelligence algorithms are based on natural behaviors. Particle swarm optimization (PSO) is a stochastic search and optimization tool. Changes in the PSO parameters, namely the inertia weight and the cognitive and social acceleration constants, affect the performance of the search process. This paper presents a novel method to dynamically change the values of these parameters during the search. Adaptive critic design (ACD) has been applied for dynamically changing the values of the PSO parameters. © 2005 IEEE.

关键词： Artificial intelligence

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Optimal control parameters for a UPFC in a multimachine using PSO

Optimal control parameters for a UPFC in a multimachine usin...

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13th International Conference on Intelligent Systems Application to Power Systems, ISAP'05

作者： Venayagamoorthy, Ganesh K. IEEE Real-Time Power and Intelligent System Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409 United States

ISBN: (纸本)1599750287

The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller (UPFC) is an effective means for controlling the power flow and can provide damping capability during transient conditions. The UPFC is controlled conventionally using PI controllers. The optimal design of the PI controllers for a UPFC is a challenging task and time consuming using the conventional techniques. This paper presents an approach using Particle Swarm Optimization (PSO) for the design of optimal conventional controllers for a UPFC in a multimachine power system. Simulation results are presented to show the effectiveness of the proposed PSO based approach for the design of optimal conventional controllers for a UPFC in a multimachine power system. © 2005 ISAP.

关键词： Electric control equipment

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