Engineering Commons^™

A Neural Network-Based Approach For Control Of Capacitors Installed On Distribution Systems For Power Loss Reduction, Almoataz Youssef Abdelaziz

Almoataz Youssef Abdelaziz

A neural network for capacitor switching in electric distribution systems for the purpose of power loss reduction is presented in this paper. An optimization technique (sensitive node method) for allocating the compensating capacitors is used to generate the training set patterns of the neural network. The required input data of the neural network at varying loading conditions are directly obtained from a load flow study of the distribution system. Load variations are assumed to follow a randomized function that generates a randomized matrix which is employed for implementing the different load levels. The developed neural network is based on a …

Development Of Hiv Model And Its Simulation, D. K. Chaturvedi, Pritam Singh, S. K. Gaur, D. S. Mishra

D. K. Chaturvedi Dr.

The article discusses model developmetn for HIV infected population using the System Dynamics technique. The technique has an advantage over conventional modeling technique as it is dependent more on causal relationships that involve qualitative and quantitative variables to model socioeconomic problems of a complex nature. The model has been simulated and the results haven been compared witht he available data.

Artificial Neural Network Learning Using Improved Genetic Algorithms, D. K. Chaturvedi

D. K. Chaturvedi Dr.

The feedforward back-propagation artificial neural networks (ANN) are widely used to control the various industrial process, for modelling, simulation of systems and forecasting. The backpropagation learning has various drawbacks such as slowness in learning, stuck in local minima, requies functional derivative of aggregation function and thresholding function to minimize error function. Various researchers have suggested a number of improvement in simple back-propagation learning algorithm developed by Widrow and Holf in 1956. In this paper, a program is developed for feedforward artificial neural network with genetic algorithm (GA) as the learning mechanism to overcome some of the disadvantages of back-propagation learning …

Fuzzified Neural Network Approach For Load Forecasting Problems, D. K. Chaturvedi, P. S. Satsangi, P. K. Kalra

D. K. Chaturvedi Dr.

In load forecasting, the operator or the concerned person uses his or her experience and intuitions to obtain a good guess of the load demand. This guess is normally supported by sophisticated mathematical prediction techniques. The short term load not only varies from hour to hour, but is also influenced by the nature of events, load demand, the type of the load considered, seasonal variations, weekend day or holidays, and also by sudden demand and loss of load. Accordingly, it is quite clear that the electrical load-forecasting problem is quite difficult to model with mathematical difference or differential equations. In …

Design Approach To Use Platinum Rtd Sensor In Snow Temperature Measurements, Raman Attri

Raman K. Attri

The snow temperature measurement is a very critical area of hydrological instrumentation. The measured data is used to assess the run-off water, snow pack strength and snow avalanche. The hydrological and snow avalanche forecast models require that temperature be measured at different points in the snow pack, above the snow pack and below the snow pack. A state-of-the-art multi-point snow temperature measurement system has been designed and developed for this purpose. The type of the temperature sensor used is a critical aspect of this physical parameter instrumentation. After lot of study of various aspects of different temperature sensing elements, the …

Use Of Energy And Power Concepts In The Analysis Of The Inter-Area Mode Phenomenon, Arturo Roman Messina

A. R. Messina

This paper presents an energy-based small signal method of analyzing low-frequency inter-area oscillations. A comprehensive framework for the analysis of system oscillations is developed based on the analysis of energy relationships in the linear state representation of the power system. This approach provides insight into the nature of the inter-area phenomenon and can be used in conjunction with modern techniques for spectral analysis of complex power systems. The practical use of the proposed methodology is tested on a complex 46-machine, 190-bus test system. Detailed non-linear time domain simulations and frequency domain studies are finally conducted to check the validity of …

Introdução Ao Hardware Evolutivo, Gladstone B. Alves

Gladstone B. Alves

In the 1950's, the idea of simulate the workings of natural evolution in an engineering setting gave birth to the domain of evolutionary computation, a powerful approach to optimization and non-deterministic problem solving. Now, some researchers are beggining to create hardware that can grow and improve itself over time, evolving steadily as it finds new and better ways to do the tasks it has set before it. The field, known as Evolvable Hardware, is a recent focus of a growing endeavour to build this kind of autonomous, adaptive, and fault-tolerant electronic systems. This paper motivates current research on Evolvable Hardware …

Using Linear Arx Terms In Rbf Network Models: A Case Study Employing A Thermal Process, Gladstone B. Alves, Luis A. Aguirre, Marcelo V. Corrêa

Gladstone B. Alves

No abstract provided.

Cramér-Rao Bounds For Estimating Range, Velocity, And Direction With An Active Array, Aleksandar Dogandžić, Arye Nehorai

Aleksandar Dogandžić

We derive Cramer-Rao bound (CRB) expressions for the range (time delay), velocity (Doppler shift), and direction of a point target using an active radar or sonar array. First, general CRB expressions are derived for a narrowband signal and array model and a space-time separable noise model that allows both spatial and temporal correlation. We discuss the relationship between the CRB and ambiguity function for this model. Then, we specialize our CRB results to the case of temporally white noise and the practically important signal shape of a linear frequency modulated (chirp) pulse sequence. We compute the CRB for a three-dimensional …

On Inferring Autonomous System Relationships In The Internet, Lx Gao

Lixin Gao

No abstract provided.

Frame-Based Periodic Broadcast And Fundamental Resource Tradeoffs, S Sen, Lx Gao, D Towsley

Lixin Gao

No abstract provided.

Policy-Aware Algorithms For Proxy Placement In The Internet, Km Kamath, Hs Bassali, Rb Hosamani, Lx Gao

Lixin Gao

No abstract provided.

Inherently Safe Backup Routing With Bgp, Lx Gao, Tg Griffin, J Rexford

Lixin Gao

No abstract provided.

On Inferring Autonomous System Relationships In The Internet, Lx Gao

Lixin Gao

No abstract provided.

On The Hierarchical Structure Of The Logical Internet Graph, Zh Ge, Dr Figueiredo, S Jaiswal, Lx Gao

Lixin Gao

No abstract provided.

The Glass Bead Game, David D. Nolte

David D Nolte

Our lives are filled with images. Everyday we see signals, read signs, and learn symbols.We find our way with maps, look for news and bargains in newspapers, calculate ourbills and taxes. We turn printed music into wonderful sounds, often without consciouseffort. Icons fill our churches, synagogues and mosques, dot our computer screens, andare sprawled on billboards, on clothing and advertisement pages. Architecture and artconspire to fill our views with meaningful shapes and form. Pictures capture an instant intime, while movies and video entertain us with visual motion. We live in a visual world,full of information transmitted by light.

The Age Of Entanglement

David D Nolte

Quantum mechanics is a venerable field of study. The year 2000 marked the 100th anniversary of theoriginal quantum hypothesis proposed by Max Planck in November of 1900. Few current fields in physicsor engineering are as old as quantum mechanics. It predates relativity, both special and general. It predatesnuclear and particle physics. Quantum mechanics even predates universal acceptance of the molecularhypothesis, that is, that all matter is made up of individual molecules in thermal motion. It may be hard tobelieve, but this happened only after Einstein's paper on Brownian motion was published in his miracleyear 1905.

Configuring Client Software Using Remote Notification Us:6219698, Robert Iannucci, Chris Weikart

Robert A Iannucci

No abstract provided.

Decentralized Adaptive Control Via Map-Based Learning For Control Of Uav's, Raúl Ordóñez

Raúl Ordóñez

PI, funded by AFRL/AFOSR, $258,763, year: 2001-2004.

Research Experiences For Undergraduates In Pollution Prevention, Raúl Ordóñez

Raúl Ordóñez

Co-PI (main topic: Moisture Control in Biofiltration Systems). Funded by NSF, $253,668, year: 2001-2003.

Field Ambient Vibration Analyses Of Drpa Bridges, Raúl Ordóñez

Raúl Ordóñez

Co-PI, funded by DARPA, $999,931, year: 2001-2004.

Design Of Elastomeric-Piezoceramic Smart Structures For Use As Tunable Resonators, Raúl Ordóñez

Raúl Ordóñez

Co-PI, funded by NSF, $84,820.

Mind At Light Speed: Front Matter, David D. Nolte

David D Nolte

Preface, David D. Nolte

David D Nolte