Dissertations / Theses on the topic 'Intelligent software'
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Chen, Kristin M., and Hsinchun Chen. "Intelligent Software Agents for Electronic Commerce." Springer, 2000. http://hdl.handle.net/10150/106448.
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Artificial Intelligence Lab, Department of MIS, University of ArizonaElectronic commerce (EC) and software agents are two of the hottest fields of research in information science. As the Internet is rapidly becomes a popular marketplace for consumers and sellers of goods and services, combining these two research areas offers lucrative opportunities both for businesses wishing to conduct transactions over the World Wide Web (WWW) and for developers of tools to facilitate this trend. The focus in this chapter will be on software agents specifically designed for electronic commerce activities. We will briefly describe the history of agent research in general, defining characteristics of agents, and will touch on the different types of agents. Following this introduction we will describe the learning and action mechanisms that make it possible for agents to perform tasks. Finally, we will describe the issues associated with the deployment of electronic commerce agents (ECAs).
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Brouse, Christopher J. "Algorithms & software for intelligent patient monitoring." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31437.
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In Canada, more deaths occur after a patient experiences an adverse event in a hospital than from breast cancer, motor vehicle accidents and AIDS combined. Current technology contributes to the problem, by adding greater complexity to the clinician's workload. There is still significant promise that computerized assistance can improve patient safety. A clinical monitoring expert system, incorporating algorithms and expert knowledge, could automatically diagnose problems and provide advice on how best to avoid hazard. This thesis investigates the design and performance of algorithms and software for an intelligent patient monitor, which forms the foundation of a clinical monitoring expert system. An algorithm has been developed for detecting electrocautery noise in the electrocardiogram (ECG) using wavelet analysis. Electrocautery noise can lead an expert system to make incorrect diagnoses. In 15 surgical cases spanning 38.5 hours of ECG data, we achieved a false positive rate of 0.71% and a false negative rate of 0.33%. While existing hardware approaches detect activation of the noise source without any ability to assess its impact on the measured ECG, our software approach detects the presence of noise in the signal itself. Furthermore, the software approach is cheaper and easier to implement in a clinical environment than existing hardware approaches. A software framework, called iAssist, has been developed for intelligent patient monitoring. The framework is extensible, flexible, scalable, and interoperable. It supports plugins to perform data acquisition, signal processing, graphical display, data storage, and output to external devices. iAssist currently incorporates the electrocautery noise detection algorithm as a plugin for artifact rejection, as well as two plugins to detect change point events in physiological trends. In 38 surgical cases, iAssist detected 868 events, of which clinicians rated more than 50% as clinically significant and less than 7% as artifacts. Clinicians found iAssist intuitive and easy to use.Applied Science, Faculty of
Electrical and Computer Engineering, Department of
Graduate
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Liu, Huixiang. "Intelligent search techniques for large software systems." Thesis, University of Ottawa (Canada), 2002. http://hdl.handle.net/10393/6422.
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There are many tools available today to help software engineers search in source code systems. It is often the case, however, that there is a gap between what people really want to find and the actual query strings they specify. This is because a concept in a software system may be represented by many different terms, while the same term may have different meanings in different places. Therefore, software engineers often have to guess as they specify a search, and often have to repeatedly search before finding what they want. To alleviate the search problem, this thesis describes a study of what we call intelligent search techniques as implemented in a software exploration environment, whose purpose is to facilitate software maintenance. We propose to utilize some information retrieval techniques to automatically apply transformations to the query strings. The thesis first introduces the intelligent search techniques used in our study, including abbreviation concatenation and abbreviation expansion. Then it describes in detail the rating algorithms used to evaluate the query results' similarity to the original query strings. Next, we describe a series of experiments we conducted to assess the effectiveness of both the intelligent search methods and our rating algorithms. Finally, we describe how we use the analysis of the experimental results to recommend an effective combination of searching techniques for software maintenance, as well as to guide our future research.
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Sivan, Jagadha. "Building intelligent market places with software agents." [Gainesville, Fla.] : University of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ane5970/newpdf.PDF.
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Thesis (M.S.)--University of Florida, 2000.Title from first page of PDF file. Document formatted into pages; contains viii, 81 p.; also contains graphics. Vita. Includes bibliographical references (p. 77-80).
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Janes, Dominik Sebastian. "Intelligent control system for CFD modelling software." Thesis, University of Greenwich, 2003. http://gala.gre.ac.uk/8618/.
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In this thesis we show that it is possible to create an intelligent agent capable of emulating the human ability to control CFD simulations and provide similar benefits in terms of performance, overall reliability and result accuracy. We initially consider the rule-based approach proposed by other researchers. It is argued that heuristic search is better suited to model the techniques used by human experts. The residual graphs are identified as the most important source of heuristic information relevant to the control decisions. Three different graph features are found to be most important and dedicated algorithms are developed for their extraction. A heuristic evaluation function employing the new extraction algorithms is proposed and implemented in the first version of the heuristic control system (ICS 1.0). The analysis of the test results gives rise to the next version of the system (ICS 2.0). ICS 2.0 employs an additional expert system responsible for dynamic pruning of the search space using the rules obtained by statistical analysis of the initial results. Other features include dedicated goal-driven search plans that help reduce the search space even further. The simulation results and overall improvements are compared with non-controlled runs. We present a detailed analysis of a fire case solution obtained with different control techniques. The effect of the automatic control on the accuracy of the results is explained and discussed. Finally, we provide some indications for further research that promise to provide even greater performance gains.
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Dobrynin, Mikhail. "Using intelligent agents for complex software systems maintenance." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174588678.
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Maxville, Valerie. "Strategies for the intelligent selection of components." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2012. https://ro.ecu.edu.au/theses/433.
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It is becoming common to build applications as component-intensive systems - a mixture of fresh code and existing components. For application developers the selection of components to incorporate is key to overall system quality - so they want the `best'. For each selection task, the application developer will de ne requirements for the ideal component and use them to select the most suitable one. While many software selection processes exist there is a lack of repeatable, usable, exible, automated processes with tool support. This investigation has focussed on nding and implementing strategies to enhance the selection of software components. The study was built around four research elements, targeting characterisation, process, strategies and evaluation. A Post-positivist methodology was used with the Spiral Development Model structuring the investigation. Data for the study is generated using a range of qualitative and quantitative methods including a survey approach, a range of case studies and quasiexperiments to focus on the speci c tuning of tools and techniques. Evaluation and review are integral to the SDM: a Goal-Question-Metric (GQM)-based approach was applied to every Spiral.
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Church, Lori A. "Decision support for software process management teams : an intelligent software agent approach /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA377649.
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Thesis (M.S. in Software Engineering) Naval Postgraduate School, March 2000.Thesis advisor(s): Michael, James Bret; Osmundson, John S. "March 2000." Includes bibliographical references (p. 111-115). Also available online.
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Edmiston, Marcia R., Darrell R. Gregg, and David G. Wirth. "Decision support for reconnaissance using intelligent software agents." Thesis, Monterey, California. Naval Postgraduate School, 1998. http://hdl.handle.net/10945/8192.
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Approved for public release; distribution is unlimitedResearch in reconnaissance traditionally focuses on data detection and discrimination methods. Less emphasis is placed on transforming the collected data into useful information and presenting it to key command and control nodes. Information not presented in a timely manner is excluded from the decision process. This thesis proposes a conceptual model of intelligent software agents to support the human decision process and reconnaissance- related tasks. The Mobile Agent Reconnaissance Kit (MARK) suggests a hierarchy of software agents to facilitate data integration and coordination in a network- centric multisensor environment. The model uses static and mobile agents to collect data from dispersed, heterogeneous data sources, process and fuse the data, and present the resultant information to the user in an HTML file. The authors explore applications of MARK in terms of the military Intelligence Cycle, the Joint Director of Laboratories (JDL) Technical Panel for C3I Data Fusion Model, and the Joint Operations Planning and Evaluation System (JOPES) crisis Action Planning
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Bergasa-Suso, Jorge. "Intelligent software agents for teaching across the WWW." Thesis, University of Portsmouth, 2005. https://researchportal.port.ac.uk/portal/en/theses/intelligent-software-agents-for-teaching-across-the-www(5bf2db4a-f3ef-4df3-b6bb-82c110c385fe).html.
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This dissertation describes the creation of new Web-based Teaching (WBT) systems to assist in the use of the Internet, as well as the creation of new intelligent agent systems to monitor user behaviour while browsing the World Wide Web (WWW). A key contribution to knowledge is the creation of a method to infer user learning style from user behaviour while browsing the WWW and the inference riles resulting from the application of this method. Existing commercial WBT systems provided useful tools to facilitate the use of the Internet. However, most of these systems were designed for distance learning, and not for using the Internet within classrooms, so students couls lose concentration and navigate to unrelated Web sites. Existing commercial WBT systems did not provide intelligent advice on potential sites, consider student activity or provide content-specific filtering of Web pages. A system called CITA was designed to overcome these limitations. A prototype was created using a standard proxy server as a platform fro testing the effectiveness of filtering methods. The knowledge gained from testing the prototype suggested a need for another type of software tool that provided structured, focused and controlled access to the Internet in an intuitive and non-intrusive way, relying on a minimal network infrastructure. A novel set of tools called iLessons was created to achieve these goals. iLessons enabled teachers to: gather resources from the Internet; and load lessons into student computers. iLessons also provided students with tools to create resource collections and to create coursework. Users considered iLessons to be intuitive and easy to use because it was embedded into a standard Web browser. The research moved on to create a model of a new collaborative agent system vthat filtered and recommended Web pages to students based on three different dimensions: page relevance; student learning style; and student activity. In order to automatically determine the learning style of students and recommend suitable Web pages, patterns were sought in the way students interacted with a standard Web browser and in the strucure of Web pages that were preferred by each learning style group. Two new intelligent agent systems were createdto record user activity and Web page structure while using Web browsers: Solstice and BUCAgent. Solstice was a first prototype created to test the methodology. BUCAgent was then created to record UI activity information and Web page structure features. The same technology as iLessons was used so that they could be fully integrated with it. BUCAgent was utilised in a controlled environment while volunteers completed a research task. Collected data was analysed using a data mining engine to find rules and to predict user dimensions of learning style. Rules to predict the Active/Reflective, Sensing/Intuitive and Visual/Verbal dimensions of learning style were found. It also proved that parameters in the way that users interacted with the Internet could be measured to classify users in a number of behavioural groups, such as different learning style models or larger scale psychologica; models. Systems could then adapt their behaviour to suit the behavioural traits of the user.
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Dobrynin, Mikhail P. "Using intelligent agents for complex software systems maintenance." Ohio University / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1174588678.
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Hossain, Md Billal. "QoS-Aware Intelligent Routing For Software Defined Networking." University of Akron / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1595086618729923.
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McInerney, James. "Intelligent agents for mobile location services." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/365495/.
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Understanding human mobility patterns is a significant research endeavour that has recently received considerable attention. Developing the science to describe and predict how people move from one place to another during their daily lives promises to address a wide range of societal challenges: from predicting the spread of infectious diseases, improving urban planning, to devising effective emergency response strategies. Individuals are also set to benefit from this area of research, as mobile devices will be able to analyse their mobility pattern and offer context-aware assistance and information. For example, a service could warn about travel disruptions before the user is likely to encounter them, or provide recommendations and mobile vouchers for local services that promise to be of high value to the user, based on their predicted future plans. More ambitiously, control systems for home heating and electric vehicle charging could be enhanced with knowledge of when the user will be home. In this thesis, we focus on such anticipatory computing. Some aspects of the vision of context-awareness have been pursued for many years, resulting in mature research in the area of ubiquitous systems. However, the combination of surprisingly rapid adoption of advanced mobile devices by consumers and the broad acceptance of location-based apps has surfaced not only new opportunities, but also a number of pressing challenges. In more detail, these challenges are the (i) prediction of future mobility, (ii) inference of features of human location behaviour, and (iii) use of prediction and inference to make decisions about timely information or control actions. Our research brings together, for the first time, the entire workflow that a mobile location service needs to follow, in order to achieve an understanding of mobile user needs and to act on such understanding effectively. This framing of the problem highlights the shortcomings of existing approaches which we seek to address. In the current literature, prediction is only considered for established users, which implicitly assumes that new users will continue to use an initially inaccurate prediction system long enough for it to improve and increase in accuracy over time. Additionally, inference of user behaviour is mostly concerned with interruptibility, which does not take into account the constructive role of intelligent location services that goes beyond simply avoiding interrupting the user at inopportune times (e.g., in a meeting, or while driving). Finally, no principled decision framework for intelligent location services has been provided that takes into account the results of prediction and inference. To address these shortcomings, we make three main contributions to the state of the art. Firstly, we provide a novel Bayesian model that relates the location behaviour of new and established users, allowing the reuse of structure learnt from rich mobility data. This model shows a factor of 2.4 improvement over the state-of-the-art baseline in heldout data likelihood in experiments using the Nokia Lausanne dataset. Secondly, we give new tools for the analysis and prediction of routine in mobility, which is a latent feature of human behaviour, that informs the service about the user’s availability to follow up on any information provided. And thirdly, we provide a fully worked example of an intelligent mobile location service (a crowdsourced package delivery service) that performs decision-making using predictive densities of current and future user mobility. Simulations using real mobility data from the Orange Ivory Coast dataset indicate a 81.3% improvement in service efficiency when compared with the next best (non-anticipatory) approach.
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Brown, Quincy Lee Frank Salvucci Dario. "Mobile intelligent tutoring system : moving intelligent tutoring systems off the desktop /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3114.
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Wong, Kwok-Leung, and Fredrik Nilsson. "Intelligent resource handling scheduling of automated test execution." Thesis, Department of Science and Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-19768.
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The unit RTH, Radio Access Network Transmission and Home at Ericsson site in Linkoping uses today different test tool which are divided between different projects. Today they do not have any optimal solution for in an easy way execute the test cases from different projects concurrently, and share the test tools between the these projects.
All the execution of test cases which a test tool is needed needs to be configured and started manually which cost both time and money. Since the test tools are very expensive to use, it is desirable to increase the utilization. The purpose of this thesis is to provide RTH a working prototype which can in an intelligent way schedule and then automatically execute the test cases. The prototype shall consist of a web user interface and a scheduler part. The web user interface is going to be that part which the user works in, and the scheduler handles the prioritization and make sure that the test cases are executed.
To reach the goal with a working prototype, PHP and Java were picked as framework for the prototype. The theory behind these programming languages and more can be read in the theory chapter, and all the different methods which were used. The result of the working process can be read in the Result chapter.
The end prototype fulfills the customer’s requirement. Improvement and new functionalities are given as suggestion at the end of this thesis, where we also discuss the working process.
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Syed, Shazali Syed Tarmizi. "Human behaviour modelling through Human Intelligent Movement Software (HIMs)." Thesis, Loughborough University, 2010. https://dspace.lboro.ac.uk/2134/6382.
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The concept of sustainable urban environments aims to provide urban facilities including transport interchanges that can accommodate a wide spectrum of the human population irrespective of gender, age or disability. A major objective is to reduce levels of social exclusion which arise from inadequacy in infrastructure that strongly affects certain members of society such as the elderly, disabled and poor. This research focuses on the particular aspect of crowded public spaces where it is envisaged that improvements in crowd flow could be achieved by a proper consideration of all the users of the space but particularly the elderly and disabled. The ultimate objective would be design tools that provide architects with the means to achieve inclusivity in design for the elderly and disabled with relative ease and speed. Therefore, this research has developed a methodology and a computing tool to implement aspects of human walking behaviour in public spaces. Human behaviours have been studied using a large-scale video observation involving over 17,000 subjects. The videos have been analysed to determine a number of different behaviours and their relationship to distinguishing characteristics of the subjects such as age, gender and disability. Algorithms for representing these behaviours have been developed and implemented as a simulation tool (HIMs) within commercially available gaming software. Two case studies, within shopping malls and a bus station, have been carried out to illustrate the feasibility of the work and simple examples of small environmental design changes that significantly affect crowd flow are shown.
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Grucza, Jennifer E. (Jennifer Ellen) 1976. "An extensible, intelligent system for applying software development knowledge." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80226.
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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.Includes bibliographical references (p. 45).
by Jennifer E. Grucza.
S.B.and M.Eng.
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Alhusain, Sultan. "Intelligent data-driven reverse engineering of software design patterns." Thesis, De Montfort University, 2016. http://hdl.handle.net/2086/14341.
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Recognising implemented instances of Design Patterns (DPs) in software design discloses and recovers a wealth of information about the intention of the original designers and the rationale of their design decisions. Because it is often the case that the documentation available for software systems, if any, is poor and/or obsolete, recovering such information can be of great help and importance for maintenance tasks. Since DPs are abstractly and vaguely defined, a set of software classes with exactly the same relationships as expected for a DP instance may actually be only accidentally similar. On the other hand, a set of classes with relationships that are to an extent different from the typically expected can still be a true DP instance. The deciding factor is mainly whether or not the set of classes is actually intended to solve the design problem addressed by the DP, which makes the intent a fundamental and defining characteristic of DPs. Discerning the intent of potential instances requires building complex models that cannot be built using the information known about DPs. So, a paradigm shift in DP recognition to fully machine learning based approaches is required. The problem is that there exists no accurate and sufficiently large DP datasets and it is difficult to manually construct one. Also, there is a lack of research on the feature set that should be used in DP recognition. The main aim of this thesis is to enable the paradigm shift by laying down an accurate, comprehensive and information-rich foundation of feature and data sets. To achieve this aim, a large set of features is developed to cover a wide range of design aspects, with a particular focus on the design intent. This set serves as a global feature set from which different subsets can be objectively selected for different DPs. A new and feasible approach for DP dataset construction is designed and used to construct training datasets. The feature and data sets are then used experimentally to build and train DP classifiers. The results demonstrate the accuracy and utility of the sets introduced, and show that fully machine learning based approaches do provide the appropriate and well-equipped solutions to the problem of DP recognition.
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House, Terry Carl. "A Model and Intelligent Software Agent for the Selection and Implementation of Open Source Software." NSUWorks, 2009. http://nsuworks.nova.edu/gscis_etd/180.
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In this study, the researcher created a model and software application for identifying the factors that are relevant in the decision making process to select and implement Open-source applications in higher education. Open-source applications provide the programming syntax to the user for customization. Unlike proprietary software, where the source code is unavailable and illegal to alter, an Open-Source Software (OSS) application authorizes the user to edit and recompile the application to meet the specific needs of the institution or organization. OSS applications are either free or purchasable for a one-time fee. The rising cost of proprietary software has motivated many academic institutions to consider implementing OSS. Many IT professionals are investigating the advantages and disadvantages of open-source applications in an attempt to mitigate expensive yearly fees, licensures and maintenance costs required by proprietary software vendors. The data collected in the study represented OSS and non-OSS enabled institutions that were members of the Council of Higher Education and Accreditation (CHEA) Organization. Of the data collected from the institutions, a portion of the information was set aside for validation purposes.
The model created in this research addressed the OSS concerns in higher education by identifying the experiences, institutional characteristics, and technical systems relevant to the selection and implementation of OSS applications. The researcher used the Visual Basic .NET programming language to create the model and software application that provided academic institutions with technical OSS information and support. The Intelligent Software Agent (ISA) simplified the data analysis process by providing a Graphical User Interface (GUI) for the user to enter and receive data. The results of this research allowed institutions to specify certain criteria such as highest degree awarded, relevant characteristics, and technological factors and then receive implementation suggestions for adopting OSS applications. The validation process indicated that the tabled data in the model and generated suggestions of the ISA were statistically comparable with the data that was set-aside for validation purposes.
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Kordi, Kamran. "Intelligent character recognition using hidden Markov models." Thesis, Loughborough University, 1990. https://dspace.lboro.ac.uk/2134/13786.
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Recognition of printed and hand printed characters has received much attention over the past decade as the need for automated 'document entry' systems assumes a commanding role in office automation. Although, present Optical Character Recognition(OCR) systems have reached a high degree of sophistication as compared to early systems, the design of a robust system which can separate text from images accurately and cope reliably with noisy input and frequent change of font is a formidable task. In this thesis, a novel method of character recognition based on Hidden Markov Modelling (HMM) is initially described. The scheme first describes a training set of characters by their outer contours using Freeman codes; next, the HMM method is applied to capture topological variation of the characters automatically, by looking at typical samples of the different characters. Fonts of similar topology can also be incorporated in one hidden Markov model. Once the model of a character in upright position is derived, the character can be recognized, even, when it has been rotated by multiples of 90 degrees. This technique is further extended to combine structural analysis/description of characters with hidden Markov modelling. In this scheme, a character is first skeletonized and then split to primitives; each primitive is described by hidden Markov models while its Corresponding position with respect to nodes(junctions) where the primitives meet, are recorded. This scheme is virtually font and size independent. A new document classification algorithm based on Fuzzy theory is also proposed which provides an indication of a document's contents in terms of 'text' and 'nontext' portions.
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Al-Kadurie, Osama Mahmoud Salih. "Intelligent computer assisted instruction for arithmetic skills." Thesis, University of Exeter, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280818.
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Merrick, Kathryn Elizabeth. "Modelling motivation for experience-based attention focus in reinforcement learning." Connect to full text, 2007. http://ses.library.usyd.edu.au/handle/2123/1935.
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Thesis (Ph. D.)--University of Sydney, 2007.Includes graphs, tables. Title from title screen (viewed April 1, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Information Technologies, Faculty of Science. Includes bibliographical references. Also available in print form.
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Saeed, Bahghtar Ibraheem. "Design of a wireless intelligent fuzzy controller network." Thesis, University of Huddersfield, 2014. http://eprints.hud.ac.uk/id/eprint/24569/.
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Since the first application of fuzzy logic in the field of control engineering, fuzzy logic control has been successfully employed in controlling a wide variety of applications, such as commercial appliances, industrial automation, robots, traffic control, cement kilns and automotive engineering. The human knowledge on controlling complex and non-linear processes can be incorporated into a controller in the form of linguistic expressions. Despite these achievements, however, there is still a lack of an empirical or analytical design study which adequately addresses a systematic auto-tuning method. Indeed, tuning is one of the most crucial parts in the overall design of fuzzy logic controllers and it has become an active research field. Various techniques have been utilised to develop algorithms to fine-tune the controller parameters from a trial and error method to very advanced optimisation techniques. The structure of fuzzy logic controllers is not straightforward as is the case in PID controllers. In addition, there is also a set of parameters that can be adjusted, and it is not always easy to find the relationship between the parameters and the controller performance measures. Moreover, in general, controllers have a wide range of setpoints; changing from one value to another requiring the controller parameters to be re-tuned in order to maintain a satisfactory performance over the entire range of setpoints. This thesis deals with the design and implementation of a new intelligent algorithm for fuzzy logic controllers in a wireless network structure. The algorithm enables the controllers to learn about their plants and systematically tune their gains. The algorithm also provides the capability of retaining the knowledge acquired during the tuning process. Furthermore, this knowledge is shared on the network through a wireless communication link with other controllers. Based on the relationships between controller gains and the closed-loop characteristics, an auto-tuning algorithm is developed. Simulation experiments using standard second order systems demonstrate the effectiveness of the algorithm with respect to auto-tuning, tracking setpoints and rejecting external disturbances. Furthermore, a zero overshoot response is produced with improvements in the transient and the steady state responses. The wireless network structure is implemented using LabVIEW by composing a network of several fuzzy controllers. The results demonstrate that the controllers are able to retain and share the knowledge.
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Mian, Omer. "Intelligent Spectrum Sensor Radio." Wright State University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=wright1215360432.
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Stout, Nathan Keith. "Exploring the initial intention to delegate to intelligent software agents." [Bloomington, Ind.] : Indiana University, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3229592.
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Thesis (Ph.D.)--Indiana University, Kelley School of Business, 2006."Title from dissertation home page (viewed July 5, 2007)." Source: Dissertation Abstracts International, Volume: 67-08, Section: A, page: 2796. Adviser: Alan R. Dennis.
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Jamali, Pierre. "Application of the multigraph software architecture to intelligent patient monitoring." Thesis, City University London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307866.
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Mansa, Rachel Fran. "Roll compaction of pharmaceutical excipients and prediction using intelligent software." Thesis, University of Birmingham, 2007. http://etheses.bham.ac.uk//id/eprint/5406/.
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Roll compaction is a dry granulation method. In the pharmaceutical industry it assists in binding tablet ingredients together to form a larger mass. This is conducted to ease subsequent processing, decrease dust, improve flowability, improve material distribution, more suitable for moisture and heat sensitive materials than wet granulation methods, minimises operating space and suited for a continuous manufacturing set-up. In pharmaceutical roll compaction various types of powder material mixtures are compacted into ribbon that are subsequently milled and tableted. The aim of this research is to investigate the use of intelligent software (FormRules and INForm software) for predicting the effects of the roll compaction process and formulation characteristics on final ribbon quality. Firstly, the tablet formulations were characterised in terms of their particle size distribution, densities, compressibility, compactibility, effective angle of friction and angle of wall friction. These tablet formulations were then roll compacted. The tablet formulation characteristics and roll compaction results formed 64 datasets, which were then used in FormRules and INForm software training. FormRules software highlighted the key input variables (i.e. tablet formulations, characteristics and roll compaction process parameters). Next these key input variables were used as input variables in the model development training of INForm. The INForm software produced models which were successful in predicting experimental results. The predicted nip angle values of the INForm models were found to be within 5%, which was more accurate to those derived from Johanson’s model prediction. The Johanson’s model was not successful in predicting nip angle above the roll speed of 1 rpm due to air entrainment. It also over-predicted the experimental nip angle of DCPA and MCC by 200%, while the approximation using Johanson’s pressure profile under-predicted the experimental nip angle of DCPA by 5-20% and MCC by 20%.
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Tovstokorenko, O. Y., R. O. Gamzayev, and M. V. Tkachuk. "Case-Based Recommender for intelligent task assignment in software development." Thesis, NTU "KhPI", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/38049.
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Dibley, Michael James. "An intelligent system for facility management." Thesis, Cardiff University, 2011. http://orca.cf.ac.uk/23277/.
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A software system has been developed that monitors and interprets temporally changing (internal) building environments and generates related knowledge that can assist in facility management (FM) decision making. The use of the multi agent paradigm renders a system that delivers demonstrable rationality and is robust within the dynamic environment that it operates. Agent behaviour directed at working toward goals is rendered intelligent with semantic web technologies. The capture of semantics though formal expression to model the environment, adds a richness that the agents exploit to intelligently determine behaviours to satisfy goals that are flexible and adaptable. The agent goals are to generate knowledge about building space usage as well as environmental conditions by elaborating and combining near real time sensor data and information from conventional building models. Additionally further inferences are facilitated including those about wasted resources such as unnecessary lighting and heating for example. In contrast, current FM tools, lacking automatic synchronisation with the domain and rich semantic modelling, are limited to the simpler querying of manually maintained models.
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Tekbacak, Fatih Tuğlular Tuğkan. "Developing a security mechanism for software agents/." [s.l.]: [s.n.], 2006. http://library.iyte.edu.tr/tezler/master/bilgisayaryazilimi/T000526.pdf.
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Thesis (Master)--İzmir Institute of Technology, İzmir, 2006.Keywords: Agents, security protocols, software, software development, software security. Includes bibliographical references (leaves. 73-76).
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Filipe, Joaquim Belo Lopes. "Normative organisational modelling using intelligent multi-agent systems." Thesis, Staffordshire University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327505.
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Karagiannidis, Charalampos. "Supporting run-time adaptation in intelligent user interfaces." Thesis, University of Kent, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242908.
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Kapetanakis, Stylianos. "Intelligent monitoring of business processes using case-based reasoning." Thesis, University of Greenwich, 2012. http://gala.gre.ac.uk/9809/.
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The work in this thesis presents an approach towards the effective monitoring of business processes using Case-Based Reasoning (CBR). The rationale behind this research was that business processes constitute a fundamental concept of the modern world and there is a constantly emerging need for their efficient control. They can be efficiently represented but not necessarily monitored and diagnosed effectively via an appropriate platform. Motivated by the above observation this research pursued to which extent there can be efficient monitoring, diagnosis and explanation of the workflows. Workflows and their effective representation in terms of CBR were investigated as well as how similarity measures among them could be established appropriately. The monitoring results and their following explanation to users were questioned as well as which should be an appropriate software architecture to allow monitoring of workflow executions. Throughout the progress of this research, several sets of experiments have been conducted using existing enterprise systems which are coordinated via a predefined workflow business process. Past data produced over several years have been used for the needs of the conducted experiments. Based on those the necessary knowledge repositories were built and used afterwards in order to evaluate the suggesting approach towards the effective monitoring and diagnosis of business processes. The produced results show to which extent a business process can be monitored and diagnosed effectively. The results also provide hints on possible changes that would maximize the accuracy of the actual monitoring, diagnosis and explanation. Moreover the presented approach can be generalised and expanded further to enterprise systems that have as common characteristics a possible workflow representation and the presence of uncertainty. Further work motivated by this thesis could investigate how the knowledge acquisition can be transferred over workflow systems and be of benefit to large-scale multidimensional enterprises. Additionally the temporal uncertainty could be investigated further, in an attempt to address it while reasoning. Finally the provenance of cases and their solutions could be explored further, identifying correlations with the process of reasoning.
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Jeleń, Krzysztof. "Intelligent Tourist Information System." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1166.
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Nowadays people use mobile phones and other mobile devices. Most of us have a small computing device that is always with us. People use it example for calling, as calendar and organizer. Mobile devices with GPS receiver are also used to find paths in navigation. The main disadvantage of those systems is that we have to know places which we want to visit and they usually do not store any usable, valuable information about points of interest except phone numbers and addresses. The main idea of this thesis was to design a system that will run on most of phones and palms and will be helpful when visiting some new places and cities. This system should be able to find a route using user criteria. Those criteria should be simple and natural, like for example: a list of museums, the most famous historical objects, restaurants to visit, constraints to travel by bus and by walking. The system should find a path that fulfils those criteria, show it on screen, show names of objects, some short descriptions and photos of them and possible entrance costs. It should also be able to estimate time needed to travel from one object to the next and if it is possible, advise which bus line or other public means of transport may be used. It should be helpful for people that want to visit a city without having much information about it. Paths that are output of this system are only a proposition for trip. They will not be optimal but can not be counterintuitive and must be acceptable by the user.
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Miller, Paul Sheridan Mikler Armin. "Automated syndromic surveillance using intelligent mobile agents." [Denton, Tex.] : University of North Texas, 2007. http://digital.library.unt.edu/permalink/meta-dc-5141.
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Hategekimana, Claver Pierre. "Cognition and Technology effectiveness of intelligent tutoring systems for software training /." [Ames, Iowa : Iowa State University], 2008.
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Herring, Charles Edward. "Viable software : the intelligent control paradigm for adaptable and adaptive architecture /." [St. Lucia, Qld.], 2002. http://adt.library.uq.edu.au/public/adt-QU20020901.134215/index.html.
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Hu, Yuebing, and 胡跃冰. "Consensus control of multi-agent systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4658657X.
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Poon, Josiah Chun-Fai, and josiah poon@deakin edu au. "An intelligent assistant to re-configure parameter-driven systems." Deakin University, 1994. http://tux.lib.deakin.edu.au./adt-VDU/public/adt-VDU20061207.143623.
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Parameter-Driven Systems (PDS) are widely used in commerce for large-scale applications. Reusability is achieved with a PDS design by relocating implicit control structures in the software and the storage of explicit data in database files.
This approach can accommodate various user requirements without tedious modification of the software. In order to specify appropriate parameters in a system, knowledge of both business activities and system behaviour are required. For large, complex software packages, this task becomes time consuming and requires specialist knowledge, yet the consistency and correctness still cannot be guaranteed.
My research studied the types of knowledge required and agents involved in the PDS customisation. The work also identified the associated problems and constraints. A solution is proposed and implemented as an Intelligent Assistant prototype than a manual approach.
Three areas of achievement have been highlighted: 1. The characteristics and problems of maintaining parameter instances in a PDS are defined. It is found that the verification is not complete with the technical/structural knowledge alone, but a context is necessary to provide semantic information and related business activities (thus the implemented parameters) so that mainline functions can relate with each other. 2. A knowledge-based modelling approach has been proposed and demonstrated via a practical implementation. A Specification Language was designed which can model various types of knowledge in a PDS and encapsulate relationships. The Knowledge-Based System (KBS) developed verifies parameters based on the interpreted model of a given context. 3. The performance of the Intelligent Assistant prototype was well received by the domain specialist from the participating organisation. The modelling and KBS approach developed in my research offers considerable promise in solving practical problems in the software industry.
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Wong, Kam-Fai. "An Intelligent Cell Memory System for real time engineering applications." Thesis, University of Edinburgh, 1987. http://hdl.handle.net/1842/11957.
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Monteiro, Valter. "How intrusion detection can improve software decoy applications." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FMonteiro.pdf.
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Waterman, Bryan D. "Development of low-cost satellite control software." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Jun%5FWaterman.pdf.
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Kostias, Aristotelis, and Georgios Tagkoulis. "Development of an Artificial Intelligent Software Agent using Artificial Intelligence and Machine Learning Techniques to play Backgammon Variants." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-251923.
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Artificial Intelligence has seen enormous progress in many disciplines in the recent years. Particularly, digitalized versions of board games require artificial intelligence application due to their complex decision-making environment. Game developers aim to create board game software agents which are intelligent, adaptive and responsive. However, the process of designing and developing such a software agent is far from straight forward due the nature and diversity of each game. The thesis examines and presents a detailed procedure of constructing a software agent for backgammon variants, using temporal difference, artificial neural networks and backpropagation. Different artificial intelligence and machine learning algorithms used in board games, are overviewed and presented. Finally, the thesis describes the development and implementation of a software agent for the backgammon variant called Swedish Tables and evaluates its performance.Artificiell intelligens har sett enorma framsteg inom många discipliner de senare åren. Speciellt, digitaliserade brädspel kräver implementering av Artificiell intelligens då deras beslutfattande logik är väldigt komplex. Dataspelutvecklarnas syfte och mål är att skapa programvaror som är intelligenta, adaptiva och lyhörda. Dock konstruktionsoch utvecklingsprocess för att kunna skapa en sådan mjukvara är långtifrån att vara faställd, mest på grund av diversitet av naturen av varje spel. Denna avhandlingen forskar och föreslår en detaljerad procedur för att bygga en "Software Agent" för olika slags Backagammon, genom att använda AI neurala nätvärk och back-propagation metoder. Olika artificiell intelligensoch maskininlärningsalgoritmer som används i brädspel forskas och presenteras. Slutligen denna avhandling beskriver implementeringen och utvecklingen av ett mjukvaru agent för en backgammonvariant, närmare bestämt av "Svenska Tabeller" samt utvärderar dess prestanda.
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Ammari, Faisal Tawfiq. "Securing financial XML transactions using intelligent fuzzy classification techniques." Thesis, University of Huddersfield, 2013. http://eprints.hud.ac.uk/id/eprint/19506/.
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The eXtensible Markup Language (XML) has been widely adopted in many financial institutions in their daily transactions; this adoption was due to the flexible nature of XML providing a common syntax for systems messaging in general and in financial messaging in specific. Excessive use of XML in financial transactions messaging created an aligned interest in security protocols integrated into XML solutions in order to protect exchanged XML messages in an efficient yet powerful mechanism. However, financial institutions (i.e. banks) perform large volume of transactions on daily basis which require securing XML messages on large scale. Securing large volume of messages will result performance and resource issues. Therefore, an approach is needed to secure specified portions of an XML document, syntax and processing rules for representing secured parts. In this research we have developed a smart approach for securing financial XML transactions using effective and intelligent fuzzy classification techniques. Our approach defines the process of classifying XML content using a set of fuzzy variables. Upon fuzzy classification phase, a unique value is assigned to a defined attribute named "Importance Level". Assigned value indicates the data sensitivity for each XML tag. This thesis also defines the process of securing classified financial XML message content by performing element-wise XML encryption on selected parts defined in fuzzy classification phase. Element-wise encryption is performed using symmetric encryption using AES algorithm with different key sizes. Key size of 128-bit is being used on tags classified with "Medium" importance level; a key size of 256-bit is being used on tags classified with "High" importance level. An implementation has been performed on a real life environment using online banking system in Jordan Ahli Bank one of the leading banks in Jordan to demonstrate its flexibility, feasibility, and efficiency. Our experimental results of the system verified tangible enhancements in encryption efficiency, processing time reduction, and resulting XML message sizes. Finally, our proposed system was designed, developed, and evaluated using a live data extracted from an internet banking service in one of the leading banks in Jordan. The results obtained from our experiments are promising, showing that our model can provide an effective yet resilient support for financial systems to secure exchanged financial XML messages.
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Östberg, Micael, and Mikael Norgren. "Intelligent Gripper." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-22862.
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The human hand is a great generic gripper as it can grasp objects of unknown shapes, weights and surfaces. Most robotic grippers in today's industry have to be custom made and tuned for each application by engineers, thus many man hours are required to get the desired behavior and repeatability. To be able to adapt some of the capabilities of the human hand into robust industrial robotic grippers would enhance their usability and ease the tuning by engineers once installed. This thesis discusses the development of a robust intelligent gripper for industrial use, based on piezo sensors which have the ability to both sense slippage and detect objects. First, an experimental sensor prototype was developed successfully using an amplification circuit and algorithms implemented in LabView. Secondly, a final prototype containing a signal board, an FPGA board, a simple gripper with linear units and more robust sensor modules where developed. The thesis further discusses which parts of the intelligent gripper that have been successfully implemented within the project time frame and which parts that needs to be further implemented, tested and improved.Den mänskliga handen är en fantastisk universiell gripklo då den kan greppa objekt av okänd form, vikt och yta. De flesta gripklor i dagens industri måste vara specialgjorda och anpassas för varje applikation av ingenjörer och därmed behövs otaliga mantimmar för att få önskat beteende och repeterbarhet. Att kunna anpassa vissa av den mänskliga handens egenskaper till en robust industriell robotgripklo skulle utöka dess användarområde och lätta upp anpassningen för ingenjörer när den väl är installerad. Detta examensarbete diskuterar hur en robust intelligent gripklo har blivit utvecklat for industriellt bruk baserad på piezo sensorer som har förmågan att känna av glidning och initiell kontakt av objekt. Först, en experimentiell fungerande sensorprototyp utvecklades med hjälp av en förstärkningskrets och algoritmer implementerade i LabView. Därefter utvecklades en slutlig prototyp innehållandes ett signalkort, ett FPGA-kort, en enkel gripklo med linjärenheter och mer robusta sensorer. Examensarbetet tar vidare upp vilka delar som framgångsrikt blivit implementerade och vilka delar som behöver utvecklas ytterligare, testas och förbättras.
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McAlister, Moira J. "The development of an intelligent tutoring system for linear programming." Thesis, University of Sunderland, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306260.
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Mc, Caffery Fergal Hugh. "MICASSEM : an intelligent adaptive Multimedia Interface for Circuit board ASSEMbly." Thesis, University of Ulster, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310108.
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Baker, Michael J. "Negotiated tutoring : an approach to interaction in intelligent tutoring systems." Thesis, Open University, 1990. http://oro.open.ac.uk/54150/.
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This thesis describes a general approach to tutorial interaction in Intelligent Tutoring Systems, called "Negotiated Tutoring". Some aspects of the approach have been implemented as a computer program in the 'KANT' (Kritical Argument Negotiated Tutoring) system. Negotiated Tutoring synthesises some recent trends in Intelligent Tutoring Systems research, including interaction symmetry, use of explicit negotiation in dialogue, multiple interaction styles, and an emphasis on cognitive and metacognitive skill acquisition in domains characterised by justified belief. This combination of features has not been previously incorporated into models for intelligent tutoring dialogues. Our approach depends on modelling the high-level decision-making processes and memory representations used by a participant in dialogue. Dialogue generation is controlled by reasoning mechanisms which operate on a 'dialogue state', consisting of conversants' beliefs, a set of possible dialogue moves, and a restricted representation of the recent utterances generated by both conversants. The representation for conversants' beliefs is based on Anderson's (1983) model for semantic memory, and includes a model for dialogue focus based on spreading activation. Decisions in dialogue are based on preconditions with respect to the dialogue state, higher level educational preferences which choose between relevant alternative dialogue moves, and negotiation mechanisms designed to ensure cooperativity. The domain model for KANT was based on a cognitive model for perception of musical structures in tonal melodies, which extends the theory of Lerdahl and Jackendoff (1983). Our model ('GRAF' - GRouping Analysis with Frames) addresses a number of problems with Lerdahl and Jackendoff's theory, notably in describing how a number of unconscious processes in music cognition interact, including elements of top-down and bottom-up processing. GRAF includes a parser for musical chord functions, a mechanism for performing musical reductions, low-level feature detectors and a frame-system (Minsky 1977) for musical phrase structures.
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Tran, Quynh Nhu Information Systems Technology & Management Australian School of Business UNSW. "MOBMAS - A methodology for ontology-based multi-agent systems development." Awarded by:University of New South Wales. School of Information Systems, Technology and Management, 2005. http://handle.unsw.edu.au/1959.4/24254.
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???Agent-based systems are one of the most vibrant and important areas of research and development to have emerged in information technology in the 1990s??? (Luck et al. 2003). The use of agents as a metaphor for designing and constructing software systems represents an innovative movement in the field of software engineering: ???Agent- Oriented Software Engineering (AOSE)??? (Lind 2000; Luck et al. 2003). This research contributes to the evolution of AOSE by proposing a comprehensive ontology-based methodology for the analysis and design of Multi-Agent Systems (MAS). The methodology is named MOBMAS, which stands for ???Methodology for Ontology-Based MASs???. A major improvement of MOBMAS over the existing agentoriented MAS development methodologies is its explicit and extensive support for ontology-based MAS development. Ontologies have been widely acknowledged for their significant benefits to interoperability, reusability, MAS development activities (such as system analysis and agent knowledge modelling) and MAS operation (such as agent communication and reasoning). Recognising these desirable ontology???s benefits, MOBMAS endeavours to identify and implement the various ways in which ontologies can be used in the MAS development process and integrated into the MAS model definitions. In so doing, MOBMAS has exploited ontologies to enhance its MAS development process and MAS development product with various strengths. These strengths include those ontology???s benefits listed above, and those additional benefits uncovered by MOBMAS, e.g. support for verification and validation, extendibility, maintainability and reliability. Compared to the numerous existing agent-oriented methodologies, MOBMAS is the first that explicitly and extensively investigates the diverse potential advantages of ontologies in MAS development, and which is able to implement these potential advantages via an ontology-based MAS development process and a set of ontology-based MAS model definitions. Another major contribution of MOBMAS to the field of AOSE is its ability to address all key concerns of MAS development in one methodological framework. The methodology provides support for a comprehensive list of methodological requirements, which are important to agent-oriented analysis and design, but which may not be wellsupported by the current methodologies. These methodological requirements were identified and validated by this research from three sources: the existing agent-oriented methodologies, the existing evaluation frameworks for agent-oriented methodologies and conventional system development methodologies, and a survey of practitioners and researchers in the field of AOSE. MOBMAS supports the identified methodological requirements by combining the strengths of the existing agent-oriented methodologies (i.e. by reusing and enhancing the various strong techniques and model definitions of the existing methodologies where appropriate), and by proposing new techniques and model definitions where necessary. The process of developing MOBMAS consisted of three sequential research activities. The first activity identified and validated a list of methodological requirements for an Agent Oriented Software Engineering methodology as mentioned above. The second research activity developed MOBMAS by specifying a development process, a set of techniques and a set of model definitions for supporting the identified methodological requirements. The final research activity evaluated and refined MOBMAS by collecting expert reviews on the methodology, using the methodology on an application and conducting a feature analysis of the methodology.
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Malaviya, Anoop Kumar. "Decision mechanism, knowledge representation, and software architecture for an intelligent control system." University of Western Australia. Dept. of Electrical and Electronic Engineering, 1998. http://theses.library.uwa.edu.au/adt-WU2006.0127.
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[Truncated abstract] This thesis analyses the problem of Intelligent Control for large industrial plants and suggests a hierarchical, distributed, object-oriented architecture for Intelligent Control. The architecture is called MLIAC (Multi Level Intelligent Adaptive Control) Architecture. The MLIAC architecture is inspired by biological control systems (which are flexible, and are capable of adapting to unstructured environments with ease) and the success of the distributed architecture SCADA (Supervisory Control and Data Acquisition) Systems. The MLIAC Architecture structures the decision and control mechanism for the real-time properties namely safety, liveliness, and timeliness . . . In addition, three case studies have been reported. The case studies cover the control of a Flexible Manufacturing System and the Mine Products Quality Control. The results show that MLIAC Knowledge Representation model meets the requirements of the Roth-Hayes benchmark regarding Knowledge Representation. The decisions taken are logically tractable. The software architecture is effective and easily implemented. The actual performance has been found to depend upon a number of factors discussed in this thesis. For the specification and design of Potline MLIAC software, a CASE package ("Software Through Pictures") has been used. The Potline MLIAC software has been developed using C⁄C++, SQL, 4 GL and RDBMS based on a Client-Server model. For computer simulation the Potline MLIAC software has been integrated with the MATLAB⁄SIMULINK package.