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Articles 1741 - 1770 of 1808
Full-Text Articles in Entire DC Network
Predicting Permeability And Flow Capacity Distribution With Back-Propagation Artificial Neural Networks, Alexis Jose Riera
Predicting Permeability And Flow Capacity Distribution With Back-Propagation Artificial Neural Networks, Alexis Jose Riera
Graduate Theses, Dissertations, and Problem Reports (ETD)
The prediction of permeability is a critical, key step for reservoir modeling and management of oil recovery operations. Previous studies have successfully demonstrated that the new technology called Artificial Neural Network (ANN), a biologically inspired, massive parallel, distributed information processing system, is an excellent tool for permeability predictions using well log data. This technology overcomes the drawbacks caused by the inherent heterogeneity of the reservoir and lack of sufficient cores or pressure transient tests, allowing to define reservoir characterization within an acceptable accuracy while maintaining costs low. The methodology used in this study takes advantage of this technology to accomplish …
Designing Neural Networks For The Prediction Of The Drilling Parameters For Kuwait Oil And Gas Fields, Abdulrahman F. Al-Rashidi
Designing Neural Networks For The Prediction Of The Drilling Parameters For Kuwait Oil And Gas Fields, Abdulrahman F. Al-Rashidi
Graduate Theses, Dissertations, and Problem Reports (ETD)
In this study a new methodology was developed to predict the drilling parameters using the Artificial Neural Network. Three models were developed to predict bit type, rate of penetration (ROP), and cost-per-foot (cost/ft), respectively.;The prediction of bit type and other drilling parameters from the current available data is an important criterion in selecting the most cost efficient bit. History of bit runs plays an important factor in bit selection and bit design. Based on field data, the selection of bit type can be accomplished by the use of a neural network as an alternative bit selection method.;Three drilling parameters were …
Feature Evaluation, Classification And Rule Generation Using Fuzzy Sets And Neural Networks., Rajat Kumar De Dr.
Feature Evaluation, Classification And Rule Generation Using Fuzzy Sets And Neural Networks., Rajat Kumar De Dr.
Doctoral Theses
Pattern recognition and machine learning form a major area of research and develop- ment activity that encompasses the processing of pictorial and other non-numerical information obtained from the interaction between science, technology and society. A motivation for the spurt of activity in this field is the need for people to com- municate with the computing machines in their natural mode of communication. Another important motivation is that the scientists are also concerned with the idea of designing and making intelligent machines that can carry out certain tasks that we human beings do. The most salient outcome of these is the …
Cataloging Expert Systems: Optimism And Frustrated Reality, William Olmstadt
Cataloging Expert Systems: Optimism And Frustrated Reality, William Olmstadt
E-JASL: Electronic Journal of Academic and Special Librarianship (1999-2009, Volumes 1-10)
There is little question that computers have profoundly changed how information professionals work. The process of cataloging and classifying library materials was one of the first activities transformed by information technology. The introduction of the MARC format in the 1960s and the creation of national bibliographic utilities in the 1970s had a lasting impact on cataloging. In the 1980s, the affordability of microcomputers made the computer accessible for cataloging, even to small libraries. This trend toward automating library processes with computers parallels a broader societal interest in the use of computers to organize and store information. Following World War II, …
Life And Evolution In Computers, Melanie Mitchell
Life And Evolution In Computers, Melanie Mitchell
Computer Science Faculty Publications and Presentations
This paper argues for the possibility of 'artificial life' and computational evolution, first by discussing (via a highly simplified version) John von Neumann's self-reproducing automaton and then by presenting some recent work focusing on computational evolution, in which 'cellular automata', a form of parallel and decentralized computing system, are evolved via 'genetic algorithms'. It is argued that such in silico experiments can help to make sense of the question of whether we can eventually build computers that are intelligent and alive.
Development Of Self-Adaptive Back Propagation And Derivative Free Training Algorithms In Artificial Neural Networks, Shamsuddin Ahmed
Development Of Self-Adaptive Back Propagation And Derivative Free Training Algorithms In Artificial Neural Networks, Shamsuddin Ahmed
Theses: Doctorates and Masters
Three new iterative, dynamically self-adaptive, derivative-free and training parameter free artificial neural network (ANN) training algorithms are developed. They are defined as self-adaptive back propagation, multi-directional and restart ANN training algorithms. The descent direction in self-adaptive back propagation training is determined implicitly by a central difference approximation scheme, which chooses its step size according to the convergence behavior of the error function. This approach trains an ANN when the gradient information of the corresponding error function is not readily available. The self- adaptive variable learning rates per epoch are determined dynamically using a constrained interpolation search. As a result, appropriate …
Design And Development Of Fuzzy Expert System For Handy Board, Aditya Kumar Singh
Design And Development Of Fuzzy Expert System For Handy Board, Aditya Kumar Singh
Graduate Theses, Dissertations, and Problem Reports (ETD)
The recent trend in global manufacturing scenario has resulted in the emergence of many innovative techniques that have revolutionized the manufacturing industry as a whole. A lot of states of art advances have been associated with the increasing use of microprocessors in advance manufacturing systems. Out of many the one, which has predominantly captured the real time, behavioral use is the Fuzzy Logic.;Fuzzy logic implementation in real time environment involves the integration of multi-disciplinary area like computer engineering, mechanical and electronic systems tailored towards smart systems that enable a very precise control on the process. The fuzzy logic based project …
Development Of A Decision Support System For Assessment Of Mobile Bridges, Vikram Ramamoorthy
Development Of A Decision Support System For Assessment Of Mobile Bridges, Vikram Ramamoorthy
Graduate Theses, Dissertations, and Problem Reports (ETD)
The development of a prototype Decision Support System (DSS) for the condition assessment of the Armored Vehicle Launched Bridge (AVLB) has been demonstrated in the current work. AVLB is a mobile bridge that has been used by the US Army for tank and assault vehicle crossing. It is employed for spanning short gaps of 50 feet or less in the terrain. The condition assessment of such bridges, to ensure safety of personnel and tank, is of strategic importance. The methodology of the prototype DSS is based on a refined visual inspection procedure and a previously established vibration measurement technique.;Conforming to …
Pattern Classification Using Genetic Algorithms., Sanghamitra Bandyopadhyay Dr.
Pattern Classification Using Genetic Algorithms., Sanghamitra Bandyopadhyay Dr.
Doctoral Theses
Pattern recognition and machine learning form a major area of research and develop- ment activity that encompasses the processing of pictorial and other non-numerical information obtained from the interaction between science, technology and society. A motivation for the spurt of activity in this field is the need for people to com- municate with the computing machines in their natural mode of communication. Another important motivation is that the scientists are also concerned with the idea of designing and making intelligent machines that can carry out certain tasks that we human beings do. The most salient outcome of these is the …
Constructive Induction Machines For Data Mining, Marek Perkowski, Stanislaw Grygiel, Qihong Chen, Dave Mattson
Constructive Induction Machines For Data Mining, Marek Perkowski, Stanislaw Grygiel, Qihong Chen, Dave Mattson
Electrical and Computer Engineering Faculty Publications and Presentations
"Learning Hardware" approach involves creating a computational network based on feedback from the environment (for instance, positive and negative examples from the trainer), and realizing this network in an array of Field Programmable Gate Arrays (FPGAs). Computational networks can be built based on incremental supervised learning (Neural Net training) or global construction (Decision Tree design). Here we advocate the approach to Learning Hardware based on Constructive Induction methods of Machine Learning (ML) using multivalued functions. This is contrasted with the Evolvable Hardware (EHW) approach in which learning/evolution is based on the genetic algorithm only. Various approaches to supervised inductive learning …
The Round Table Model: A Web-Oriented, Agent-Based Approach To Decision-Support Applications, Kym J. Pohl, Jens G. Pohl
The Round Table Model: A Web-Oriented, Agent-Based Approach To Decision-Support Applications, Kym J. Pohl, Jens G. Pohl
Collaborative Agent Design (CAD) Research Center
Not unlike King Arthur relying on the infamous Round Table as the setting for consultation with his most trusted experts, agent-based, decision-support systems provide human decision makers with a means of solving complex problems through collaboration with collections of both human and computer-based expert agents. The Round Table Framework provides a formalized architecture together with a set of development and execution tools which can be utilized to design, develop, and execute agent-based, decision-support applications. Based on a three-tier architecture, Round Table incorporates forefront technologies including distributed-object servers, inference engines, and web-based presentation to provide a framework for collaborative, agent-based decision …
On The Developement Of An Optical Character Recognition(Ocr) System For Printed Bangla Script., Umapada Pal Dr.
On The Developement Of An Optical Character Recognition(Ocr) System For Printed Bangla Script., Umapada Pal Dr.
Doctoral Theses
This thesis concerns OCR development of machine printed text in an Indian lan- guage, Bangla (Bengali) which is the fourthmost popular language in the world and the secondmost popular language in India.1.1 Optical Character Recognition Optical Character Recognition (OCR) is a process of automatic computer recog- nition of characters in optically scanned and digitized pages of text. OCR is ene of the most fascinating and challenging areas of pattern recognition with various practical applications. It can contribute tremendously to the advancement of an automation process and can improve the interface between man and machine in many applications, including office automation …
Neuro Fuzzy Reasoning For Pattern Classification And Object Recognition., Jayati Ghosh Dr.
Neuro Fuzzy Reasoning For Pattern Classification And Object Recognition., Jayati Ghosh Dr.
Doctoral Theses
In real world, pattern classification and object recognition problems are faced with fuzzi- ness that is connected with diverse facets of cognitive activity of the human being. An origin of sources of fuzziness is related to labels expressed in feature space as well as to labels of classes taken into account in classification and /or recognition procedures. Though a lot of scientific efforts have already been dedicated to pattern recognition problems, especially to classification procedures, still pattern recognition is confronted with a continuous challenge coming from a human being who can perform lot of ex- tremely complex classification tasks by …
Design And Design Centers In Engineering Education, Clive L. Dym
Design And Design Centers In Engineering Education, Clive L. Dym
All HMC Faculty Publications and Research
This paper is intended to be the opening salvo of the workshop, Computing Futures in Engineering Design (Dym, 1997). Thus, I want to take this privileged moment to ask you to think with me about the role of design in engineering. In particular, I want to reflect upon how design is articulated and how design is taught; about the role of design in engineering education and in the practice of engineering; and about the role that could be played locally and, perhaps, nationally by a center devoted to design education. Because I teach here at Harvey Mudd College (HMC), …
Interview With Manuel Delanda, Switch Staffs
Interview With Manuel Delanda, Switch Staffs
SWITCH
An interview with philosopher Manuel De Landa and SJSU CADRE students, Brett Stalbaum, Matt Hoessli, Geri Wittig, Kristin Cully, Geoffrey Bruce, Anne-Marie Schleiner. De Landa's work focuses on the use of networks as a medium of expression. The discussion traces networking technology, including machine intelligence or artificial intelligence’s evolution from military to civilian contexts. They discuss, "One Thousand Years of Nonlinear History", De Landa's most recent book at that time that shows the history of the world from a non-anthropocentric view to make the worldview more inclusive as a self-organized and dynamical system that is unaffected by the hierarchical perspective …
Review Of 'Artificial Legal Intelligence', Stephen M. Mcjohn
Review Of 'Artificial Legal Intelligence', Stephen M. Mcjohn
Suffolk University Law School Faculty Works
Artificial Legal Intelligence, by Pamela Gray, presents a thought-provoking approach to both computational models of legal reasoning and the use of evolutionary thinking about the law. Drawing on a prodigious amount of research, the book looks beyond the rather technical approach common in the field and attempts to place artificial legal intelligence within the broad structure of legal history. This paper first summarizes the book's vision of a computerized artificial legal intelligence, a vision of developments in both technology and legal history. The paper discusses how this fits with trends in both artificial intelligence and legal theory. The paper further …
A Methodology For The Selection Of A Paradigm Of Reasoning Under Uncertainty In Expert System Development, Vivian Campbell
A Methodology For The Selection Of A Paradigm Of Reasoning Under Uncertainty In Expert System Development, Vivian Campbell
Theses: Doctorates and Masters
The aim of this thesis is to develop a methodology for the selection of a paradigm of reasoning under uncertainty for the expert system developer. This is important since practical information on how to select a paradigm of reasoning under uncertainty is not generally available. The thesis explores the role of uncertainty in an expert system and considers the process of reasoning under uncertainty. The possible sources of uncertainty are investigated and prove to be crucial to some aspects of the methodology. A variety of Uncertainty Management Techniques (UMTs) are considered, including numeric, symbolic and hybrid methods. Considerably more information …
A Complex-Systems Perspective On The “Computation Vs. Dynamics” Debate In Cognitive Science, Melanie Mitchell
A Complex-Systems Perspective On The “Computation Vs. Dynamics” Debate In Cognitive Science, Melanie Mitchell
Computer Science Faculty Publications and Presentations
I review the purported opposition between computational and dynamical approaches in cognitive science. I argue that both computational and dynamical notions will be necessary for a full explanatory account of cognition, and give a perspective on how recent research in complex systems can lead to a much needed rapprochement between computational and dynamical styles of explanation.
Learning To See Analogies: A Connectionist Exploration, Douglas S. Blank
Learning To See Analogies: A Connectionist Exploration, Douglas S. Blank
Computer Science Faculty Research and Scholarship
The goal of this dissertation is to integrate learning and analogy-making. Although learning and analogy-making both have long histories as active areas of research in cognitive science, not enough attention has been given to the ways in which they may interact. To that end, this project focuses on developing a computer program, called Analogator, that learns to make analogies by seeing examples of many different analogy problems and their solutions. That is, it learns to make analogies by analogy. This approach stands in contrast to most existing computational models of analogy in which particular analogical mechanisms are assumed a priori …
Simulation Study Of Learning Automata Games In Automated Highway Systems, Cem Unsal, Pushkin Kachroo, John S. Bay
Simulation Study Of Learning Automata Games In Automated Highway Systems, Cem Unsal, Pushkin Kachroo, John S. Bay
Electrical & Computer Engineering Faculty Research
One of the most important issues in Automated Highway System (AHS) deployment is intelligent vehicle control. While the technology to safely maneuver vehicles exists, the problem of making intelligent decisions to improve a single vehicle’s travel time and safety while optimizing the overall traffic flow is still a stumbling block. We propose an artificial intelligence technique called stochastic learning automata to design an intelligent vehicle path controller. Using the information obtained by on-board sensors and local communication modules, two automata are capable of learning the best possible (lateral and longitudinal) actions to avoid collisions. This learning method is capable of …
Development Of A Standard Set Of Indicators And Metrics For Artificial Intelligence (Ai) And Expert System (Es) Software Development Efforts, Derek F. Cossey
Development Of A Standard Set Of Indicators And Metrics For Artificial Intelligence (Ai) And Expert System (Es) Software Development Efforts, Derek F. Cossey
Theses and Dissertations
The purpose of this research was to identify a standard set of indicators and metrics that can be used by program managers to improve their abilities to direct development efforts involving Artificial Intelligence (AI) and Expert Systems (ES). This research addresses two objectives. The first objective is to identify an appropriate set of software indicators and metrics to be used by government program offices for the management of development efforts involving software systems for AI and ES. The second objective is to demonstrate how the resources of the National Software Data and Information Repository (NSDIR) can be used in order …
Nsu M.S. And Ed.S. In Science Education 1996, Nova Southeastern University
Nsu M.S. And Ed.S. In Science Education 1996, Nova Southeastern University
Abraham S. Fischler College of Education and School of Criminal Justice College Archive
No abstract provided.
Nsu Graduate Teacher Education Program (Gtep) M.S. And Ed.S. In Science Education 1996, Nova Southeastern University
Nsu Graduate Teacher Education Program (Gtep) M.S. And Ed.S. In Science Education 1996, Nova Southeastern University
Abraham S. Fischler College of Education and School of Criminal Justice College Archive
No abstract provided.
Neuro-Fuzzy Models For Classification And Rule Generation., Sushmita Mitra Dr.
Neuro-Fuzzy Models For Classification And Rule Generation., Sushmita Mitra Dr.
Doctoral Theses
Machine recognition [1, 2] of patterns can be viewed as a two-fold task, consisting of learning the invariant and common properties of a set of samples characterizing a class, and of deciding a new sample as a possible member of the class by noting that it has properties common to those of the set of samples. In other words, pattern recognition by computers can be described as a transformation from the measurenment space M to the feature space F and finally to the decision space D (1), i.e., M ⟶F⟶D.Here, the mapping 6 : F⟶D is the decision function and …
Connectionist Models For Certain Tasks Related To Object Recognition., Jayanta Basak Dr.
Connectionist Models For Certain Tasks Related To Object Recognition., Jayanta Basak Dr.
Doctoral Theses
Recognition of objects in an image, according to Suetens et al. [1), relers to the task of finding and labeling parts of a two-dimensional image of a scene that correspond to the real objects in the scene. Object recognition is necessary in a variety of domains like robot navigation, aerial imagery analysis, industrial inspection and so on. Normally, different strategies for object recognition (1-(5] involve establishing some model for each object, i.e., some general description of each object, and then labeling different parts of the scene according to the knowledge about the models.Object models can have two-dimensional (2D) or three-climensional …
An Integrated Framework For Learning And Reasoning, Christophe G. Giraud-Carrier, Tony R. Martinez
An Integrated Framework For Learning And Reasoning, Christophe G. Giraud-Carrier, Tony R. Martinez
Faculty Publications
Learning and reasoning are both aspects of what is considered to be intelligence. Their studies within AI have been separated historically, learning being the topic of machine learning and neural networks, and reasoning falling under classical (or symbolic) AI. However, learning and reasoning are in many ways interdependent. This paper discusses the nature of some of these interdependencies and proposes a general framework called FLARE, that combines inductive learning using prior knowledge together with reasoning in a propositional setting. Several examples that test the framework are presented, including classical induction, many important reasoning protocols and two simple expert systems.
Interview: Brenda Laurel, Jason Challas
Interview: Brenda Laurel, Jason Challas
SWITCH
This interview with Brenda Laurel, Virtual Reality (VR) author and thinker, discusses the applications and challenges of VR. Creating an emphatic experience using VR technology is possible, but the challenge lies in designing an environment that models the senses to stimulate emotions. VR enables experiences of different genders, but physiological differences between the sexes exist and are important to understand. However, technology used to create the environment and simulation of physical objects in VR is only in the developmental stage. Laurel believes in the importance of keeping the mind grounded in the physical body, in order to strengthen the appreciation …
Hardware Implementation Of The Complex Hopfield Neural Network, Chih Kang Cheng
Hardware Implementation Of The Complex Hopfield Neural Network, Chih Kang Cheng
Theses Digitization Project
No abstract provided.
On Lexical And Syntactic Processing Of Bangla Language By Computer., Probal Sengupta Dr.
On Lexical And Syntactic Processing Of Bangla Language By Computer., Probal Sengupta Dr.
Doctoral Theses
A distinctive intelligent trait of human beings is the ability to carry out meaningful communication through language. The communication may be direct as in spoken conversation or indirect as in written form, through the audio-visual media, etc. Linguistic ability in humans have fascinated scholars ever since man first learnt to use language. Linguistics, the branch of study involved in studying the nature of human linguistic communication, is perhaps as old as language itself. The invention of the computer added a new dimension to linguistics. Making the computer emu- late human linguistic behaviour was taken up as a challenge by computer …
Automated Manpower Rostering: Techniques And Experience, C. M. Khoong, Hoong Chuin Lau, L. W. Chew
Automated Manpower Rostering: Techniques And Experience, C. M. Khoong, Hoong Chuin Lau, L. W. Chew
Research Collection School Of Computing and Information Systems
We present ROMAN, a comprehensive, generic manpower rostering toolkit that successfully handles a wide spectrum of work policies found in service organizations. We review the use of various techniques and methodologies in the toolkit that contribute to its robustness and efficiency, and relate experience gained in addressing manpower rostering problems in industry.