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Title: Developing combinatorial multi-component therapies (CMCT) of drugs that are more specific and have fewer side effects than traditional one drug therapies.
Creator: Liebovitch, Larry S., Tsinoremas, Nicholas, Pandya, Abhijit S.
Date Issued: 2007-08-30
PURL: http://purl.flvc.org/fau/165790
Subject Headings: Drug Therapy, Biomathematics, Combinatorial dynamics, Drugs--Research, Medicine-Mathematics, Biophysics--Research, Nonlinear systems
Format: Document (PDF)

Title: CAD design patterns.
Creator: Hayes, Joey C., Florida Atlantic University, Pandya, Abhijit S.
Abstract/Description: Software reuse has been looked upon in recent years as a promising mechanism for achieving increased levels of software quality and productivity within an organization. A form of software reuse which has been gaining in popularity is the use of design patterns. Design patterns are a higher level of abstraction than source code and are proving to be a valuable resource for both software developers and new hires within a company. This thesis develops the idea of applying design patterns to the...
Show moreSoftware reuse has been looked upon in recent years as a promising mechanism for achieving increased levels of software quality and productivity within an organization. A form of software reuse which has been gaining in popularity is the use of design patterns. Design patterns are a higher level of abstraction than source code and are proving to be a valuable resource for both software developers and new hires within a company. This thesis develops the idea of applying design patterns to the Computer Aided Design (CAD) software development environment. The benefits and costs associated with implementing a software reuse strategy are explained and the reasoning for developing design patterns is given. Design patterns are then described in detail and a potential method for applying design patterns within the CAD environment is demonstrated through the development of a CAD design pattern catalog.
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Date Issued: 1996
PURL: http://purl.flvc.org/fcla/dt/15358
Subject Headings: Computer-aided design, Computer-aided software engineering, Computer software--Development, Computer software--Reusability
Format: Document (PDF)

Title: Performance analysis of RLP for NAK based ARQ scheme in cdma2000 wireless systems for random error channels.
Creator: Easo, Daniel J., Florida Atlantic University, Pandya, Abhijit S.
Abstract/Description: This thesis is an effort to present the performance analysis of the RLP in cdma2000, which uses the NAK based ARQ scheme for Random Error Channels. The performance analyses is done in terms of throughput and mean extra delay, which are calculated analytically and are compared with the results generated from the simulations. As the demand for higher data rates increases over the wireless channels, this thesis studies the effect of the random errors over the different types of RLP frame formats...
Show moreThis thesis is an effort to present the performance analysis of the RLP in cdma2000, which uses the NAK based ARQ scheme for Random Error Channels. The performance analyses is done in terms of throughput and mean extra delay, which are calculated analytically and are compared with the results generated from the simulations. As the demand for higher data rates increases over the wireless channels, this thesis studies the effect of the random errors over the different types of RLP frame formats and also the performance of the NAK based ARQ mechanism used in these conditions. The simulation provides with the overall characteristics of the throughput and the mean extra delay in terms of realistic environment parameters like Eb/No and probability of packet error (Pe), based on the channel conditions.
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Date Issued: 2001
PURL: http://purl.flvc.org/fcla/dt/12810
Subject Headings: Code division multiple access, Wireless communication systems, Mobile communication systems
Format: Document (PDF)

Title: Performance evaluation of Bluetooth(TM) network in the presence of self-interference.
Creator: Gandhi, Viraf Rusi., Florida Atlantic University, Pandya, Abhijit S.
Abstract/Description: Wireless personal area networks (WPAN) are becoming more and more popular for use by mobile professionals in areas like airports, hotels, or convention centers. The demand for wireless networks is expected to undergo an explosive growth as Bluetooth(TM) capable devices become more and more popular. In such a scenario, it is imperative that designer are aware of the performance characteristics of several Bluetooth(TM) networks operating within the same area. There are several issues that need...
Show moreWireless personal area networks (WPAN) are becoming more and more popular for use by mobile professionals in areas like airports, hotels, or convention centers. The demand for wireless networks is expected to undergo an explosive growth as Bluetooth(TM) capable devices become more and more popular. In such a scenario, it is imperative that designer are aware of the performance characteristics of several Bluetooth(TM) networks operating within the same area. There are several issues that need consideration like security, self-interference and adjacent network interference. The objective of this research is to evaluate the performance of a Bluetooth(TM) network in the presence of self-interference which included adjacent and co-channel interference from neighboring Bluetooth(TM) networks. Specific to the above topics of interest, the following research tasks are performed: (1) The magnitude of self-interference problem in Bluetooth(TM) networks. (2) The system throughput is evaluated by varying duty cycles of the various networks. (3) The pathloss difference is measured between the desired and the interfering device.
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Date Issued: 2000
PURL: http://purl.flvc.org/fcla/dt/12679
Subject Headings: Bluetooth technology, Telecommunication--Equipment and supplies, Computer network protocols
Format: Document (PDF)

Title: An intelligent data repository.
Creator: Dave, Trupti., Florida Atlantic University, Pandya, Abhijit S.
Abstract/Description: In this thesis, importance of Intelligent Data Repository (IDR) and its real life applications are studied. We proposed an IDR for oncology applications which can handle large datasets and which can be used on both the intranet and the Internet. It is designed to provide one or multiple medical institutions on a global scale a common platform for patient care and consultation. The proposed application consists of two key models, Body Surface Area model and Search model, which are described in...
Show moreIn this thesis, importance of Intelligent Data Repository (IDR) and its real life applications are studied. We proposed an IDR for oncology applications which can handle large datasets and which can be used on both the intranet and the Internet. It is designed to provide one or multiple medical institutions on a global scale a common platform for patient care and consultation. The proposed application consists of two key models, Body Surface Area model and Search model, which are described in detail and their results are discussed. We have implemented the proposed IDR for oncology application using ColdFusion MX. Existing research in this area have been studied and compared. Framework of the proposed IDR, structure, front-end user interface and back-end database schema of the proposed oncology application are explained in this thesis.
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Date Issued: 2004
PURL: http://purl.flvc.org/fcla/dt/13187
Subject Headings: Database design, Medicine--Computer network resources, Medical telematics, Medical informatics, ColdFusion, Oncology--Computer network resources
Format: Document (PDF)

Title: An improved neural net-based approach for predicting software quality.
Creator: Guasti, Peter John., Florida Atlantic University, Khoshgoftaar, Taghi M., Pandya, Abhijit S.
Abstract/Description: Accurately predicting the quality of software is a major problem in any software development project. Software engineers develop models that provide early estimates of quality metrics which allow them to take action against emerging quality problems. Most often the predictive models are based upon multiple regression analysis which become unstable when certain data assumptions are not met. Since neural networks require no data assumptions, they are more appropriate for predicting software...
Show moreAccurately predicting the quality of software is a major problem in any software development project. Software engineers develop models that provide early estimates of quality metrics which allow them to take action against emerging quality problems. Most often the predictive models are based upon multiple regression analysis which become unstable when certain data assumptions are not met. Since neural networks require no data assumptions, they are more appropriate for predicting software quality. This study proposes an improved neural network architecture that significantly outperforms multiple regression and other neural network attempts at modeling software quality. This is demonstrated by applying this approach to several large commercial software systems. After developing neural network models, we develop regression models on the same data. We find that the neural network models surpass the regression models in terms of predictive quality on the data sets considered.
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Date Issued: 1995
PURL: http://purl.flvc.org/fcla/dt/15134
Subject Headings: Neural networks (Computer science), Computer software--Development, Computer software--Quality control, Software engineering
Format: Document (PDF)

Title: Low-power design of an ALU.
Creator: Agarwal, Ankur, Florida Atlantic University, Pandya, Abhijit S.
Abstract/Description: There is a mushrooming demand for battery operated applications that require intensive computation in portable environments. This has motivated the research and development of techniques that reduce power in CMOS digital circuits while maintaining their computational throughput. The two essentials to achieve a low power design are miniaturization and long battery life. Lowering the supply voltage is one of the most effective ways to achieve low-power performance as power dissipation in...
Show moreThere is a mushrooming demand for battery operated applications that require intensive computation in portable environments. This has motivated the research and development of techniques that reduce power in CMOS digital circuits while maintaining their computational throughput. The two essentials to achieve a low power design are miniaturization and long battery life. Lowering the supply voltage is one of the most effective ways to achieve low-power performance as power dissipation in digital CMOS circuits is approximately proportional to the square of supply voltage. The basic idea behind this thesis is that it proposes new designs of transfer gate based logical circuits, which use lower supply voltage and less number of transistors than the conventional designs. This work evaluates the obtained results from the proposed designs of the low-power ALU with that from the standard CMOS, other low power designs namely, Wang's XOR, XNOR and Inverter based gates. It was observed that the proposed designs perform better in terms of power consumption than the standard CMOS designs, and the other low power designs mentioned above.
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Date Issued: 2003
PURL: http://purl.flvc.org/fcla/dt/13017
Subject Headings: Metal oxide semiconductors, Complementary, Low voltage integrated circuits, Verilog (Computer hardware description language), Logic design
Format: Document (PDF)

Title: Individual Profiling Of Perceived Tinnitus by Developing Tinnitus Analyzer Software.
Creator: Chaudhury, Baishali, Pandya, Abhijit S., Florida Atlantic University
Abstract/Description: Tinnitus is a conscious perception of phantom sounds in the absence of external acoustic stimuli, and masking is one of the popular ways to treat it. Due to the variation in the perceived tinnitus sound from patient to patient, the usefulness of masking therapy cannot be generalized. Thus, it is important to first determine the feasibility of masking therapy on a particular patient, by quantifying the tinnitus sound, and then generate an appropriate masking signal. This paper aims to achieve...
Show moreTinnitus is a conscious perception of phantom sounds in the absence of external acoustic stimuli, and masking is one of the popular ways to treat it. Due to the variation in the perceived tinnitus sound from patient to patient, the usefulness of masking therapy cannot be generalized. Thus, it is important to first determine the feasibility of masking therapy on a particular patient, by quantifying the tinnitus sound, and then generate an appropriate masking signal. This paper aims to achieve this kind of individual profiling by developing interactive software - Tinnitus Analyzer, based on clinical approach. The developed software has been proposed to be used in place oftraditional clinical methods and this software (as a part of the future work) will be implemented in the practical scenario involving real tinnitus patients.
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Date Issued: 2010
PURL: http://purl.flvc.org/fau/fd/FA00012512
Subject Headings: Medical care--Technological innovations, Tinnitus--Diagnosis--Aids and devices, Hearing disorders--Diagnosis--Technological innovations, Psychoacoustics--Research
Format: Document (PDF)

Title: Using a cerebellar model arithmetic computer (CMAC) neural network to control an autonomous underwater vehicle.
Creator: Comoglio, Rick F., Florida Atlantic University, Pandya, Abhijit S.
Abstract/Description: The design of an Autonomous Undersea Vehicle (AUV) control system is a significant challenge in-light of the highly uncertain nature of the ocean environment together with partially known nonlinear vehicle dynamics. This thesis describes a Neural Network architecture called Cerebellar Model Arithmetic Computer (CMAC). CMAC is used to control a model of an Autonomous Underwater Vehicle. The AUV model consists of two input parameters, the rudder and stern plane deflections, controlling six...
Show moreThe design of an Autonomous Undersea Vehicle (AUV) control system is a significant challenge in-light of the highly uncertain nature of the ocean environment together with partially known nonlinear vehicle dynamics. This thesis describes a Neural Network architecture called Cerebellar Model Arithmetic Computer (CMAC). CMAC is used to control a model of an Autonomous Underwater Vehicle. The AUV model consists of two input parameters, the rudder and stern plane deflections, controlling six output parameters; forward velocity, vertical velocity, pitch angle, side velocity, roll angle, and yaw angle. Properties of CMAC and results of computer simulations for identification and control of the AUV model are presented.
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Date Issued: 1991
PURL: http://purl.flvc.org/fcla/dt/14762
Subject Headings: Neural networks (Computer science), Artificial intelligence, Submersibles--Automatic control
Format: Document (PDF)

Title: A Biometrics Based Secure Communication Scheme for Bluetooth Environment.
Creator: Soni, Puneet, Pandya, Abhijit S., Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: A novel personnel authentication and verification system for devices communicating through Bluetooth protocol has been proposed in this thesis. Unlike existing verification systems which provide password or a PIN as a key, the system uses biometrics features as a key. In the implementation of the scheme, ridges and bifurcation based parameters are derived to generate a 128 bit Bluetooth pairing PIN. In this thesis a unique translational and rotational invariant feature set has been developed....
Show moreA novel personnel authentication and verification system for devices communicating through Bluetooth protocol has been proposed in this thesis. Unlike existing verification systems which provide password or a PIN as a key, the system uses biometrics features as a key. In the implementation of the scheme, ridges and bifurcation based parameters are derived to generate a 128 bit Bluetooth pairing PIN. In this thesis a unique translational and rotational invariant feature set has been developed. These extracted feature data, unlike traditional systems which include the extracted data into payload, is used for device connection by generating the 128 bit PIN. The system performance is analyzed using the pairing PIN for inter-sample and intra-sample recognition. To validate the stability of the system the performance is analyzed with external samples which are not a part of the internal database.
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Date Issued: 2007
PURL: http://purl.flvc.org/fau/fd/FA00012556
Subject Headings: Bluetooth technology--Security measures, Network performance (Telecommunication), Computer network protocols
Format: Document (PDF)

Title: Low complexity scalable video encoding.
Creator: Jillani, Rashad M., Kalva, Hari, Pandya, Abhijit S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The emerging Scalable Video Coding (SVC) extends the H.264/AVC video coding standard with new tools designed to efficiently support temporal, spatial and SNR scalability. In real-time multimedia systems, the coding performance of video encoders and decoders is limited by computational complexity. This thesis presents techniques to manage computational complexity of H.264/AVC and SVC video encoders. These techniques aim to provide significant complexity saving as well as a framework for...
Show moreThe emerging Scalable Video Coding (SVC) extends the H.264/AVC video coding standard with new tools designed to efficiently support temporal, spatial and SNR scalability. In real-time multimedia systems, the coding performance of video encoders and decoders is limited by computational complexity. This thesis presents techniques to manage computational complexity of H.264/AVC and SVC video encoders. These techniques aim to provide significant complexity saving as well as a framework for efficient use of SVC.
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Date Issued: 2012
PURL: http://purl.flvc.org/fau/fd/FA00004252
Format: Document (PDF)

Title: Cross-domain authentication for multi-protocol phones.
Creator: Thakker, Chetan., Florida Atlantic University, Pandya, Abhijit S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The last decade has seen a surge in demand for cellular and WLAN networks. With the introduction of Voice Over IP, cellular companies are looking at WLAN-Cellular integrated networks that shall provide users with economical voice and data services. These networks shall be complimentary to the existing cellular networks. A lot of money is spent in registering and authenticating new users, since they are separately authenticated and registered on the WLAN and Cellular domains. This leads to...
Show moreThe last decade has seen a surge in demand for cellular and WLAN networks. With the introduction of Voice Over IP, cellular companies are looking at WLAN-Cellular integrated networks that shall provide users with economical voice and data services. These networks shall be complimentary to the existing cellular networks. A lot of money is spent in registering and authenticating new users, since they are separately authenticated and registered on the WLAN and Cellular domains. This leads to extra costs for the company. Thus for the integrated networks to have an impact on the market some issues such as simpler authentication and registration must be resolved. Therefore we propose a new inter-working model that shall addresses the authentication and registration problem for an integrated network for voice and data. The Single authentication system of the new inter-working model, shall authenticate the user in an integrated network using the SIM credentials, this authentication shall be valid for both voice and data. Also registration costs will be saved by preventing separate registration of users in the WLAN and Cellular domain.
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Date Issued: 2005
PURL: http://purl.flvc.org/fcla/dt/13260
Subject Headings: Integrated services digital networks, Digital telephone systems, Wireless communication systems--Technological innovations, Mobile communication systems--Technological innovations
Format: Document (PDF)

Title: Modeling Perceived Audio for Cellular Phones Based on Field Data.
Creator: Kitbamrung, Pateep, Pandya, Abhijit S., Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Even though, the current cellular network provides the user with a wide array of services, for a typical user voice communication is still the primary usage. It has become increasingly important for a cellular network provider to provide the customers with the clearest possible end-to-end speech during a call. However, this perceptually motivated QoS is hard to measure. While the main goal of this research has been on the modeling of the perceptual audio quality, this thesis focuses on the...
Show moreEven though, the current cellular network provides the user with a wide array of services, for a typical user voice communication is still the primary usage. It has become increasingly important for a cellular network provider to provide the customers with the clearest possible end-to-end speech during a call. However, this perceptually motivated QoS is hard to measure. While the main goal of this research has been on the modeling of the perceptual audio quality, this thesis focuses on the discovery of procedures for collecting audio and diagnostic data, the evaluation of the captured audio, and the mapping and visualization of the diagnostic and audio related data. The correct application of these modified procedures should increase the productivity of the drive test team as well as provides a platform for the accurate assessment of the data collected.
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Date Issued: 2007
PURL: http://purl.flvc.org/fau/fd/FA00012530
Subject Headings: Computer network protocols, Wireless communication systems--Quality control, Routers (Computer networks), Mobile communication systems--Quality control
Format: Document (PDF)

Title: Neural network based routing optimization for ATM switching networks.
Creator: Sen, Ercan., Florida Atlantic University, Pandya, Abhijit S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: This dissertation proposes amodular Artificial Neural Network (ANN) based buffer allocation and routing control model for ATM switching networks. The proposed model considers limited buffer capacity which can adversely impact the switching performance of ATM switching networks. The proposed ANN based approach takes advantage of the favorable control characteristics of neural networks such as high adaptability and high speed collective computing power for effective buffer utilization. The...
Show moreThis dissertation proposes amodular Artificial Neural Network (ANN) based buffer allocation and routing control model for ATM switching networks. The proposed model considers limited buffer capacity which can adversely impact the switching performance of ATM switching networks. The proposed ANN based approach takes advantage of the favorable control characteristics of neural networks such as high adaptability and high speed collective computing power for effective buffer utilization. The proposed model uses complete sharing buffer allocation strategy and enhances its performance for high traffic loads by regulating the buffer allocation process dynamically via a neural network based controller. In this study, we considered the buffer allocation problem in the context of routing optimization in ATM networks. The modular structure of the proposed model separates the buffer allocation from the actual routing of ATM cells through the switching fabric and allows adaptation of the neural control for routing to different switching structures. The influence of limited buffer capacity, routing conflicts, statistical correlation between arriving ATM cells and cell burst length on ATM switching performance are analyzed and illustrated through computer simulation.
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Date Issued: 1996
PURL: http://purl.flvc.org/fcla/dt/12491
Subject Headings: Asynchronous transfer mode, Packet switching (Data transmission), Neural networks (Computer science)
Format: Document (PDF)

Title: PRGMDH algorithm for neural network development and its applications.
Creator: Tangadpelli, Chetan., Florida Atlantic University, Pandya, Abhijit S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: The existing Group Method of Data Handling (GMDH) algorithm has characteristics that are ideal for neural network design. This thesis introduces a new algorithm that applies some of the best characteristics of GMDH to neural network design and develops a Pruning based Regenerated Network by discarding the neurons in a layer which don't contribute for the creation of neurons in next layer. Unlike other conventional algorithms, which generate a network which is a black box, the new algorithm...
Show moreThe existing Group Method of Data Handling (GMDH) algorithm has characteristics that are ideal for neural network design. This thesis introduces a new algorithm that applies some of the best characteristics of GMDH to neural network design and develops a Pruning based Regenerated Network by discarding the neurons in a layer which don't contribute for the creation of neurons in next layer. Unlike other conventional algorithms, which generate a network which is a black box, the new algorithm provides visualization of the network displaying all the neurons in the network. The algorithm is general enough that it will accept any number of inputs and any sized training set. To show the flexibility of the Pruning based Regenerated Network, this algorithm is used to analyze different combinations of drugs and determine which pathways in these networks interact and determine the combination of drugs that take advantage of these interactions to maximize a desired effect on genes.
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Date Issued: 2006
PURL: http://purl.flvc.org/fcla/dt/13397
Subject Headings: Neural networks (Computer science), GMDH algorithms, Pattern recognition systems
Format: Document (PDF)

Title: Performance analysis of back propagation algorithm using artificial neural networks.
Creator: Malladi, Sasikanth., Florida Atlantic University, Pandya, Abhijit S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Backpropagation is a standard algorithm that is widely employed in many neural networks. Due to its wide acceptance and implementation, a standard benchmark for evaluating the performance of the algorithm is a handy tool for software design and development. The object of this thesis is to propose the use of the classic XOR problem for the performance evaluation of the backpropagation algorithm, with some variations on the input data sets. This thesis covers background work in this area and...
Show moreBackpropagation is a standard algorithm that is widely employed in many neural networks. Due to its wide acceptance and implementation, a standard benchmark for evaluating the performance of the algorithm is a handy tool for software design and development. The object of this thesis is to propose the use of the classic XOR problem for the performance evaluation of the backpropagation algorithm, with some variations on the input data sets. This thesis covers background work in this area and discusses the results obtained by other researchers. A series of test cases are then developed and run to perform the performance analysis of the backpropagation algorithm. As the performance of the networks depends strongly on the inputs, the effect of variation of the design parameters for the networks are evaluated and discussed.
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Date Issued: 2002
PURL: http://purl.flvc.org/fcla/dt/12961
Subject Headings: Back propagation (Artificial intelligence), Neural networks (Computer science)
Format: Document (PDF)

Title: Path selection through a three-stage switching network using neural networks.
Creator: Keskiner, Haluk., Florida Atlantic University, Pandya, Abhijit S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Several neural network applications solving practical problems in communications are presented. A neural network algorithm to select paths through a three stage switching network is developed. An analysis of the dynamics of the neural network and a convergence proof are provided. With the help of computer simulations, a four dimensional region for the valid combinations of the neural network parameters was discovered. An analysis is performed to determine the characteristics of this region....
Show moreSeveral neural network applications solving practical problems in communications are presented. A neural network algorithm to select paths through a three stage switching network is developed. An analysis of the dynamics of the neural network and a convergence proof are provided. With the help of computer simulations, a four dimensional region for the valid combinations of the neural network parameters was discovered. An analysis is performed to determine the characteristics of this region. The behavior of the neural network algorithm for different switching network configurations and varying traffic patterns were investigated. The effect of initial state of the neural network and heuristic improvements to the algorithm is provided. A comparative analysis of the neural network path selection algorithm against a sequential search method is also given.
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Date Issued: 1991
PURL: http://purl.flvc.org/fcla/dt/14741
Subject Headings: Neural networks (Computer science), Packet switching (Data transmission)
Format: Document (PDF)

Title: A case study: Performance enhancement of nonlinear combinational optimization problem by neural networks.
Creator: Soni, Saurabh., Florida Atlantic University, Pandya, Abhijit S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: Artificial Neural Networks have been widely used for obtaining solutions for combinational optimization problems. Traveling Salesman problem is a well known nonlinear combinational optimization problem. In Traveling Salesman problem, a fixed number of cities is given. An optimal tour of all these cities is required such that each city is visited only once and the total tour distance to be covered has to be minimized. Hopfield Networks have been applied for generating an optimal solution....
Show moreArtificial Neural Networks have been widely used for obtaining solutions for combinational optimization problems. Traveling Salesman problem is a well known nonlinear combinational optimization problem. In Traveling Salesman problem, a fixed number of cities is given. An optimal tour of all these cities is required such that each city is visited only once and the total tour distance to be covered has to be minimized. Hopfield Networks have been applied for generating an optimal solution. However there are certain factors which result in instability and local optimization of Hopfield Networks. In such cases the solutions obtained may not be optimal and feasible. In this thesis, the application of the K-Means algorithm is combined with the Hopfield Networks to generate more stable and optimum solutions to traveling salesperson problem.
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Date Issued: 2004
PURL: http://purl.flvc.org/fcla/dt/13108
Subject Headings: Neural networks (Computer science), Traveling-salesman problem
Format: Document (PDF)

Title: An intelligent system for predicting bridge condition rating.
Creator: Thiruppathi, Arulseelan., Florida Atlantic University, Pandya, Abhijit S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: A neural network based model for prediction of bridge condition rating is proposed. The back-propagation algorithm is used to train the network to recognize the pattern of deterioration of bridges and use this knowledge in predicting the future condition rating of a bridge. The various factors which influence the deterioration rate are considered as input to the system. The model then predicts the condition rating of the three major sub-components of a bridge viz. the deck, sub-structure and...
Show moreA neural network based model for prediction of bridge condition rating is proposed. The back-propagation algorithm is used to train the network to recognize the pattern of deterioration of bridges and use this knowledge in predicting the future condition rating of a bridge. The various factors which influence the deterioration rate are considered as input to the system. The model then predicts the condition rating of the three major sub-components of a bridge viz. the deck, sub-structure and the super-structure. Fuzzy logic is used to evaluate the overall condition rating of the bridge using the condition rating of the components. To demonstrate the superiority of the neural network model over the traditional models, the history of the deterioration rates for the components were also considered in the prediction of their future condition. The proposed system is versatile and can be easily extended to include other parameters and updated from time to time without much effort.
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Date Issued: 1994
PURL: http://purl.flvc.org/fcla/dt/15096
Subject Headings: Bridges--Maintenance and repair, Neural networks (Computer science)
Format: Document (PDF)

Title: An intelligent GMDH forecaster for forecasting certain variables in financial markets.
Creator: Mehta, Sandeep., Florida Atlantic University, Pandya, Abhijit S., College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description: In this thesis, application of GMDH Algorithm to real life problems is studied. A particular type of GMDH Algorithm namely TMNN is chosen for this purpose. An effort is made to forecast S&P Index Closing Value with the help of the forecaster. The performance of the TMNN Algorithm is simulated by implementing a tool in C++ for developing forecast models. The validation of this simulation tool is carried out with Sine Wave Values and performance analysis is done in a noisy environment. The...
Show moreIn this thesis, application of GMDH Algorithm to real life problems is studied. A particular type of GMDH Algorithm namely TMNN is chosen for this purpose. An effort is made to forecast S&P Index Closing Value with the help of the forecaster. The performance of the TMNN Algorithm is simulated by implementing a tool in C++ for developing forecast models. The validation of this simulation tool is carried out with Sine Wave Values and performance analysis is done in a noisy environment. The noisy environment tests the TMNN forecaster for its robustness. The primary goal of this research is to develop a simulation software based on TMNN Algorithm for forecasting stock market index values. The main inputs are previous day's closing values and the output is predicted closing index.
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Date Issued: 2002
PURL: http://purl.flvc.org/fcla/dt/12996
Subject Headings: GMDH algorithms, Neural networks (Computer science), Time-series analysis, Pattern recognition systems
Format: Document (PDF)

FAU Theses and Dissertations (45)	+ -
FAU College Collections (1)	+ -

Neural networks (Computer science) (21)	+ -
Pattern recognition systems (6)	+ -
Computer algorithms (5)	+ -
Code division multiple access (3)	+ -
Computer network protocols (3)	+ -

GMDH algorithms (3)	+ -
Time-series analysis (3)	+ -
Wireless communication systems--Technological innovations (3)	+ -
Artificial intelligence (2)	+ -
Cellular telephones--Design (2)	+ -
Computer networks--Security measures (2)	+ -
Computer software--Development (2)	+ -
Image processing (2)	+ -
Image processing--Digital techniques (2)	+ -
Machine learning (2)	+ -
Metal oxide semiconductors, Complementary (2)	+ -
Mobile communication systems (2)	+ -
Mobile communication systems--Quality control (2)	+ -
Packet switching (Data transmission) (2)	+ -
Stock price forecasting (2)	+ -
Verilog (Computer hardware description language) (2)	+ -
Wireless communication systems (2)	+ -
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Back propagation (Artificial intelligence) (1)	+ -
Biomathematics (1)	+ -
Biometric identification (1)	+ -
Biophysics--Research (1)	+ -
Bluetooth technology (1)	+ -

Electronic Thesis or Dissertation (45)	+ -
article (1)	+ -

Pandya, Abhijit S. (46)	+ -
Florida Atlantic University (44)	+ -
College of Engineering and Computer Science (37)	+ -
Department of Computer and Electrical Engineering and Computer Science (37)	+ -
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