Dissertations / Theses: 'Adaptive interface'

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Keeble, Richard John. "An adaptive environment for personal information management." Thesis, Brunel University, 1999. http://bura.brunel.ac.uk/handle/2438/6509.

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This dissertation reports the results of research into the provision of adaptive user interfaces to support individuals in the management of their personal information. Many individuals find that they have increased responsibility for managing aspects of their own lives, including the information associated with their jobs. In contrast with traditional approaches to information management, which are generally driven by organisational or business requirements, the requirements of personal information management systems tend to be less rigidly defined. This dissertation employs research from the areas of personal information management and adaptive user interfaces - systems which can monitor how they are used, and adapt on a personal level to their user - to address some of the particular requirements of personal information management systems. An adaptive user interface can be implemented using a variety of techniques, and this dissertation draws on research from the area of software agents to suggest that reactive software agents can be fruitfully applied to realise the required adaptivity. The reactive approach is then used in the specification and development of an adaptive interface which supports simple elements of personal information management tasks. The resulting application is evaluated by means of user trials and a usability inspection, and the theoretical architectures and techniques used in the specification and development of the software are critically appraised. The dissertation demonstrates an application of reactive software agents in adaptive systems design and shows how the behaviour of the system can be specified based on the analysis of some representative personal information management tasks.

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Tam, Hing Sang Derek. "Adaptive equalization for serial digital interface." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0010/MQ34140.pdf.

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Xu, Yong. "Developing Mutually Adaptive Human Agent Interface." 京都大学 (Kyoto University), 2010. http://hdl.handle.net/2433/120378.

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Cavanaugh, Curtis. "AN ADAPTIVE ELECTRONIC INTERFACE FOR GAS SENSORS." NCSU, 2002. http://www.lib.ncsu.edu/theses/available/etd-20020108-121219.

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CAVANAUGH, CURTIS C. An Adaptive Electronic Interface for Gas Sensors (Under the direction of H. Troy Nagle).This thesis focuses on the development of an adaptive electronic interface for gas sensors that are used in the NC State electronic nose. We present an adaptive electronic interface that allows for the accurate mapping of the sensor?s voltage output to sensor resistance profiles. The adaptive interface uses a linearized Wheatstone bridge in a constant current configuration. The balancing of the bridge and the adjustment of the subsequent gain stage is performed using programmable variable resistors. The programmable resistors are controlled by a LabVIEW® program. The same control program also determines and records all the resistor values in the interface circuit. The resistance of each sensor is accurately computed by LabVIEW® using the interface-circuit, resistor values, and the voltage output of the circuit. Compensating for sensor drift can be done in LabVIEW® by adjusting the programmable resistor values so that a zero-voltage output is produced during the reference cycle. By doing this zero adjustment between each ?sniff? of an odorant, the baseline drift can be minimized.A single channel of the adaptive electronic interface has been designed and tested. The interface can be calibrated so that it is 99% accurate when performing sensor resistance measurements.A new conducting polymer sensor chamber has also been designed and tested. The new radial flow sensor chamber was minimizes the dead volume in the chamber and also deliver the odorant to each sensor at the same time. Two operating modes were compared: continuous-flow and sniff-and-hold. Both modes gave good classification performance while testing four different coffee samples. Experimental testing indicates that sensor response is highly correlated with the sample flow rate. Future work to more fully characterize this correlation is recommended.

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Noriega, Atala Enrique. "An Evaluation Framework for Adaptive User Interface." Thesis, The University of Arizona, 2014. http://hdl.handle.net/10150/323226.

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With the rise of powerful mobile devices and the broad availability of computing power, Automatic Speech Recognition is becoming ubiquitous. A flawless ASR system is still far from existence. Because of this, interactive applications that make use of ASR technology not always recognize speech perfectly, when not, the user must be engaged to repair the transcriptions. We explore a rational user interface that uses of machine learning models to make its best effort in presenting the best repair strategy available to reduce the time in spent the interaction between the user and the system as much as possible. A study is conducted to determine how different candidate policies perform and results are analyzed. After the analysis, the methodology is generalized in terms of a decision theoretical framework that can be used to evaluate the performance of other rational user interfaces that try to optimize an expected cost or utility.

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Sabawi, Younis Abid. "Adaptive discontinuous Galerkin methods for interface problems." Thesis, University of Leicester, 2017. http://hdl.handle.net/2381/39386.

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The aim of this thesis is to derive adaptive methods for discontinuous Galerkin approximations for both elliptic and parabolic interface problems. The derivation of adaptive method, is usually based on a posteriori error estimates. To this end, we present a residual-type a posteriori error estimator for interior penalty discontinuous Galerkin (dG) methods for an elliptic interface problem involving possibly curved interfaces, with flux-balancing interface conditions, e.g., modelling mass transfer of solutes through semi-permeable membranes. The method allows for extremely general curved element shapes employed to resolve the interface geometry exactly. Respective upper and lower bounds of the error in the respective dG-energy norm with respect to the estimator are proven. The a posteriori error bounds are subsequently used to prove a basic a priori convergence result. Moreover, a contraction property for a standard adaptive algorithm utilising these a posteriori bounds, with a bulk refinement criterion is also shown, thereby proving that the a posteriori bounds can lead to a convergent adaptive algorithm subject to some mesh restrictions. This work is also concerned with the derivation of a new L1∞(L2)-norm a posteriori error bound for the fully discrete adaptive approximation for non-linear interface parabolic problems. More specifically, the time discretization uses the backward Euler Galerkin method and the space discretization uses the interior penalty discontinuous Galerkin finite element method. The key idea in our analysis is to adapt the elliptic reconstruction technique, introduced by Makridakis and Nochetto [48], enabling us to use the a posteriori error estimators derived for elliptic interface models and to obtain optimal order in both L1∞(L2) and L1∞(L2) + L2(H¹) norms. The effectiveness of all the error estimators and the proposed algorithms is confirmed through a series of numerical experiments.

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Hanumansetty, Reena Gowri. "Model based approach for context aware and adaptive user interface generation." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/10087.

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User interface design and development for ubiquitous software applications is challenged by the presence of varying contexts. Context comprises of user's computing platform, the environment in which the user is interacting with the application and user characteristics which comprise of user's behavior during interaction and user preferences for interface display and interaction. We present a framework for adaptive user interface generation where adaptation occurs when context changes. This framework introduces three new concepts. First, formalization for representing context is introduced. Our design of context specification is unique since it reflects the association of context with level and nature of user interface adaptation. Secondly, user interface generation life cycle is studied and we define a context model on top of task model to introduce the contextual conditions into user interface generation process. Using the context model, user interface designer can specify contextual requirements and its effect on the user interface. Third, context aware adaptation of user interfaces is achieved by mapping context specifications to various levels of user interface generation life cycle. We designed a specification language called rule specification using which the user interface designer can specify the mapping. With the new design of context representation, context model, and rule specification, we demonstrate how changes in contexts adapts task model which in turn adapts the user interface.
Master of Science

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Hassell, Jonathan Philip. "Automatic macro extraction : generalisation and the adaptive interface." Thesis, University of York, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.297112.

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Umapathy, Vijay. "An adaptive user interface for open educational content." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66706.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student submitted PDF version of thesis.
Includes bibliographical references (p. 67).
For my Masters of Engineering thesis project, I have developed a framework of meta- data around open educational resources that are used by students to master a given concept. Based on the assumption that a course can be broken down into specfic concepts and that there are several resources available to students both on sites such as OpenCourseWare and also peer-managed resources like Wikipedia, I develop a model for "relevance" of a resource to the learning of a given concept, where relevance is defined by assignment to a concept by a teacher as well as usage data from students viewing the resources. I combine both active feedback (clicking a "like" button) and passive feedback (view duration and count across all users) to score each resource for a given concept. This score is then used to create an adaptive user interface that indicates which resources may be the most relevant for students learning a given concept based on their peers' feedback. In addition to designing this framework, I provide an implementation of the adaptive user interface on Apple's iPad device, and I provide an evaluation of the educational benefits of this adaptive interface by designing and executing a controlled user study on students in MIT's introductory physics course.
by Vijay Umapathy.
M.Eng.

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Oskoei, Mohammadreza Asghari. "Developing adaptive myoelectric human-machine interface for rehabilitation." Thesis, University of Essex, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502190.

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Jason, Bronwin Anastasia. "An adaptive user interface model for contact centres." Thesis, Nelson Mandela Metropolitan University, 2008. http://hdl.handle.net/10948/989.

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Contact centres (CC), are the primary interaction point between a company and its customers and these are rapidly expanding in terms of both workforce and economic scope. An important challenge for today's CC solutions is to increase the speed at which CCAs retrieve information to answer customer queries. CCAs, however, differ in their ability to respond to these queries and do not interact with the computer user interface (UI) in the same way as they each have different capabilities, experience and expertise. Studies have provided empirical support that user performance can be increased when the computer UI characteristics match the user skill level. Adaptive user interfaces (AUIs) are the key to creating personalised systems. Their sole task is to provide an interface most suitable to users' needs whilst facilitating the users' varying skill levels. The aim of this research was to develop an AUI model for CCs to support and improve the expertise level of CCAs. A literature review of CCs, user expertise, AUIs and existing AUI models resulted in the proposal of an AUI model for CCs. The proposed AUI model was described in terms of its architecture, component-level and interface design. An AUI prototype was developed as a proof-of-concept of the proposed AUI model. A literature review on existing AUI evaluation approaches resulted in an evaluation strategy for the proposed AUI model. The AUI prototype was evaluated according to the evaluation strategy that was identified. User testing incorporating eye-tracking and a post-test questionnaire was used to determine the usefulness and usability of the AUI prototype. Significant results were found with regards to user satisfaction ratings, the learnability of the AUI prototype and its effectiveness. This dissertation makes an important contribution in the design of an AUI model that supports and improves the expertise level of CCAs. The model could be used to assist the development of CC applications incorporating AUIs. Future research is however needed to evaluate the effect of the proposed AUI model in a larger CC environment.

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Polak, Mark John. "Adaptive logic networks in a brain-computer interface system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0012/NQ59652.pdf.

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Kumar, Rajesh. "Web-enabled interface for an adaptive systems' interactive book." [Gainesville, Fla.] : University of Florida, 2001. http://etd.fcla.edu/etd/uf/2001/anp4089/master.pdf.

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Thesis (M.S.)--University of Florida, 2001.
Title from first page of PDF file. Document formatted into pages; contains x, 81 p.; also contains graphics. Vita. Includes bibliographical references (p. 80).

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Grimes, Todd S. "Adaptive Power Analog-to-Digital Interface for Digital Systems." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1483366560887816.

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Yao, Kuan. "Implementing an Application Programming Interface for Distributed Adaptive Computing Systems." Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/33329.

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Developing applications for distributed adaptive computing systems (ACS) requires developers to have knowledge of both parallel computing and configurable computing. Furthermore, portability and scalability are required for developers to use innovative ACS research directly in deployed systems. This thesis presents an Application Programming Interface (API) implementation developed in a scalable parallel ACS system. The API gives the developer the ability to easily control both single board and multi-board systems in a network cluster environment. The API implementation is highly portable and scalable, allowing ACS researchers to easily move from a research system to a deployed system. The thesis details the design and implementation of the API, as well as analyzes its performance.
Master of Science

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Atkinson, Matthew T. "Collaborative adaptive accessibility and human capabilities." Thesis, Loughborough University, 2012. https://dspace.lboro.ac.uk/2134/10262.

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This thesis discusses the challenges and opportunities facing the field of accessibility, particularly as computing becomes ubiquitous. It is argued that a new approach is needed that centres around adaptations (specific, atomic changes) to user interfaces and content in order to improve their accessibility for a wider range of people than targeted by present Assistive Technologies (ATs). Further, the approach must take into consideration the capabilities of people at the human level and facilitate collaboration, in planned and ad-hoc environments. There are two main areas of focus: (1) helping people experiencing minor-to-moderate, transient and potentially-overlapping impairments, as may be brought about by the ageing process and (2) supporting collaboration between people by reasoning about the consequences, from different users perspectives, of the adaptations they may require. A theoretical basis for describing these problems and a reasoning process for the semi-automatic application of adaptations is developed. Impairments caused by the environment in which a device is being used are considered. Adaptations are drawn from other research and industry artefacts. Mechanical testing is carried out on key areas of the reasoning process, demonstrating fitness for purpose. Several fundamental techniques to extend the reasoning process in order to take temporal factors (such as fluctuating user and device capabilities) into account are broadly described. These are proposed to be feasible, though inherently bring compromises (which are defined) in interaction stability and the needs of different actors (user, device, target level of accessibility). This technical work forms the basis of the contribution of one work-package of the Sustaining ICT use to promote autonomy (Sus-IT) project, under the New Dynamics of Ageing (NDA) programme of research in the UK. Test designs for larger-scale assessment of the system with real-world participants are given. The wider Sus-IT project provides social motivations and informed design decisions for this work and is carrying out longitudinal acceptance testing of the processes developed here.

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Yeung, Sze-hang Jess. "Adaptive social underground linkages urban interface for Mass Transit Railway." Click to view the E-thesis via HKUTO, 2004. http://sunzi.lib.hku.hk/hkuto/record/B31987412.

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Yeung, Sze-hang Jess, and 楊思恆. "Adaptive social underground linkages urban interface for Mass Transit Railway." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B31987412.

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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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Senga, Emile. "A service-oriented approach to implementing an adaptive user interface." Thesis, Nelson Mandela Metropolitan University, 2010. http://hdl.handle.net/10948/1091.

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Service-oriented architectures (SOA) are being adopted by organisations in order to integrate disparate computational assets. A major hurdle they face is the decision on how to integrate the UI in an SOA. In addition, technological advances have allowed complex applications and complex user interfaces (UIs) to be realised and the increase in accessibility to computers enables a diverse population of users with different characteristics, preferences and needs to use these complex computer applications. Adaptive user interfaces (AUIs) have been proposed as a solution to cater for the differences in user traits by adapting the UI to meet the diverse needs of users. AUIs have, however, traditionally been developed using client/server architectures This research, therefore, set out to investigate how to develop an AUI using a service-oriented architecture (SOA). In order to successfully achieve the goal of this research, literature concerning SOAs was investigated to gain an understanding of SOAs. A literature review of AUIs was also undertaken to gain an understanding of AUIs. A model-based approach was used to develop a model for UI adaptation using knowledge gained in the literature reviews. The model generates different UIs depending on various users‘ inferred level of expertise. The model describes the interaction between AUI services that use design-time documents and run-time user-interaction to adapt the UI. A prototype of the model was implemented and evaluated using an evolution strategy devised to assess different aspects of the research. The evaluation strategy proved the following: The service components of the prototype adhere to SOA design principles; The implementation was effective based on software engineering metrics; and, The implementation was usable and did not negatively affect the performance of users. The successful implementation of the prototype provides evidence that the design of AUIs using SOA is feasible. This dissertation therefore makes a contribution to the development of AUIs using SOAs. The model could be used to provide UI adaptation for business software applications.

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Bridle, Robert Angus, and robert bridle@gmail com. "Adaptive User Interfaces for Mobile Computing Devices." The Australian National University. College of Engineering and Computer Sciences, 2008. http://thesis.anu.edu.au./public/adt-ANU20081117.184430.

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This thesis examines the use of adaptive user interface elements on a mobile phone and presents two adaptive user interface approaches. The approaches attempt to increase the efficiency with which a user interacts with a mobile phone, while ensuring the interface remains predictable to a user. ¶ An adaptive user interface approach is presented that predicts the menu item a user will select. When a menu is opened, the predicted menu item is highlighted instead of the top-most menu item. The aim is to maintain the layout of the menu and to save the user from performing scrolling key presses. A machine learning approach is used to accomplish the prediction task. However, learning in the mobile phone environment produces several difficulties. These are limited availability of training examples, concept drift and limited computational resources. A novel learning approach is presented that addresses these difficulties. This learning approach addresses limited training examples and limited computational resources by employing a highly restricted hypothesis space. Furthermore, the approach addresses concept drift by determining the hypothesis that has been consistent for the longest run of training examples into the past. Under certain concept drift restrictions, an analysis of this approach shows it to be superior to approaches that use a fixed window of training examples. An experimental evaluation on data collected from several users interacting with a mobile phone was used to assess this learning approach in practice. The results of this evaluation are reported in terms of the average number of key presses saved. The benefit of menu-item prediction can clearly be seen, with savings of up to three key presses on every menu interaction. ¶ An extension of the menu-item prediction approach is presented that removes the need to manually specify a restricted hypothesis space. The approach uses a decision-tree learner to generate hypotheses online and uses the minimum description length principle to identify the occurrence of concept shifts. The identification of concept shifts is used to guide the hypothesis generation process. The approach is compared with the original menu-item prediction approach in which hypotheses are manually specified. Experimental results using the same datasets are reported. ¶ Another adaptive user interface approach is presented that induces shortcuts on a mobile phone interface. The approach is based on identifying shortcuts in the form of macros, which can automate a sequence of actions. A means of specifying relevant action sequences is presented, together with several learning approaches for predicting which shortcut to present to a user. A small subset of the possible shortcuts on a mobile phone was considered. This subset consisted of shortcuts that automated the actions of making a phone call or sending a text message. The results of an experimental evaluation of the shortcut prediction approaches are presented. The shortcut prediction process was evaluated in terms of predictive accuracy and stability, where stability was defined as the rate at which predicted shortcuts changed over time. The importance of stability is discussed, and is used to question the advantages of using sophisticated learning approaches for achieving adaptive user interfaces on mobile phones. Finally, several methods for combining accuracy and stability measures are presented, and the learning approaches are compared with these methods.

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Popovic, Jelena. "Fast Adaptive Numerical Methods for High Frequency Waves and Interface Tracking." Doctoral thesis, KTH, Numerisk analys, NA (stängd 2012-06-30), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-105062.

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The main focus of this thesis is on fast numerical methods, where adaptivity is an important mechanism to lowering the methods' complexity. The application of the methods are in the areas of wireless communication, antenna design, radar signature computation, noise prediction, medical ultrasonography, crystal growth, flame propagation, wave propagation, seismology, geometrical optics and image processing. We first consider high frequency wave propagation problems with a variable speed function in one dimension, modeled by the Helmholtz equation. One significant difficulty of standard numerical methods for such problems is that the wave length is very short compared to the computational domain and many discretization points are needed to resolve the solution. The computational cost, thus grows algebraically with the frequency w. For scattering problems with impenetrable scatterer in homogeneous media, new methods have recently been derived with a provably lower cost in terms of w. In this thesis, we suggest and analyze a fast numerical method for the one dimensional Helmholtz equation with variable speed function (variable media) that is based on wave-splitting. The Helmholtz equation is split into two one-way wave equations which are then solved iteratively for a given tolerance. We show rigorously that the algorithm is convergent, and that the computational cost depends only weakly on the frequency for fixed accuracy. We next consider interface tracking problems where the interface moves by a velocity field that does not depend on the interface itself. We derive fast adaptive numerical methods for such problems. Adaptivity makes methods robust in the sense that they can handle a large class of problems, including problems with expanding interface and problems where the interface has corners. They are based on a multiresolution representation of the interface, i.e. the interface is represented hierarchically by wavelet vectors corresponding to increasingly detailed meshes. The complexity of standard numerical methods for interface tracking, where the interface is described by marker points, is O(N/dt), where N is the number of marker points on the interface and dt is the time step. The methods that we develop in this thesis have O(dt^(-1)log N) computational cost for the same order of accuracy in dt. In the adaptive version, the cost is O(tol^(-1/p)log N), where tol is some given tolerance and p is the order of the numerical method for ordinary differential equations that is used for time advection of the interface. Finally, we consider time-dependent Hamilton-Jacobi equations with convex Hamiltonians. We suggest a numerical method that is computationally efficient and accurate. It is based on a reformulation of the equation as a front tracking problem, which is solved with the fast interface tracking methods together with a post-processing step. The complexity of standard numerical methods for such problems is O(dt^(-(d+1))) in d dimensions, where dt is the time step. The complexity of our method is reduced to O(dt^(-d)|log dt|) or even to O(dt^(-d)).

QC 20121116

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Wang, Jr-Ping. "Viscous free surface flow modelling using interface capturing methods on adaptive grids." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270183.

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Khalil, Christopher I. J. "The design of a multimedia adaptive interface for process control using a multi-agent approach." Thesis, Loughborough University, 2001. https://dspace.lboro.ac.uk/2134/35177.

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This thesis develops an approach to improving the representation, form and timeliness of data in a complex process control interface. In traditional interfaces, a mapping is made at design time between the process parameters and an appropriate rendering at the interface. This mapping is usually the best all-purpose mapping under a set of general constraints. It is not, however, the only mapping—others may have been discarded which might have represented a better mapping under a different set of constraints. In the general case of the system functioning under normal conditions, the general mapping may be appropriate in most instances. However, if the process moves into a disturbed state, one of the other discarded mappings may be more appropriate for the new conditions. The goal of this thesis is to investigate if these other mappings can be implemented in a flexible mapping system, so that an adaptive system can make a decision on which mapping to use at run-time, based on the current state of process, the environment, the actions of the operator team, and access to a human factors database.

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Gomes, Mario Waldorff. "An examination of control algorithms for a dissipative passive haptic interface." Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/16808.

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Blaser, Bradley W. "Interleukin 15 and transplantation biology the interface of innate and adaptive immunity /." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1145978587.

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Monteiro, Sølve Jonathan. "Adaptive Gripping Technology : Development of a gripper interface for SCHUNK Dextrous Hand." Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-10184.

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The use of robotic grippers offers huge potential benefits in industrial settings. The more advanced a gripper is, the more uses it can have, thus offering large economic benefits. On the other hand, the more complex a gripper is, the more advanced its control system needs to be, in order to control it effectively and safely. This thesis will focus on controlling SCHUNK Dextrous Hand (SDH), a 3-fingered robotic gripper with 7 degrees of freedom and tactile sensors in the fingers. By creating a real-time control system the sensors in the fingers can be used to make a feedback loop that controls the fingers. This is the basis for creating an adaptive gripper that can grip objects of unknown shape, size or position. This control system in combination with a controller for a robotic manipulator arm lets the gripper attempt to grip objects even if they are out of reach. By passing requests up to an overall control system, the gripper can request a translation to a position that gives it a better chance at performing a successful grip on the targeted object. In this project, the controller for the gripper is created, and the communication to and from the manipulator control system is replaced with a simple user-interface. This user interface offers a way of testing the complete system without the use of a manipulator arm. The translations from the gripper is read out, and the target object is moved by hand, in the opposite direction. This solution offers a simple way to expand the system to include the manipulator and its control system in later editions. Initial experiments were successful, with the gripper successfully able to pick up different objects. An apple, an empty soda can (both upright and lying down) and a chocolate egg were all picked up and held firmly without damaging the object. Complications arose with regards to the sensitivity of the sensors. They were generally unable to register any pressure when the fingers came in contact with lighter objects, and had to push the objects against the other two fingers. Another problem that arose was the stability of the application created. The program was based on multi-threading, and real-time sensor analysis. The application crashing did cause some objects to be damaged in the experiments, as the application logic could not halt the fingers despite pressure being registered. Future work should focus on restructuring the application logic to improve the stability, and the control system for the manipulator arm.

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Rogers, James W. Jr Sheng Qin. "Adaptive methods for the Helmholtz equation with discontinuous coefficients at an interface." Waco, Tex. : Baylor University, 2007. http://hdl.handle.net/2104/5122.

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Hammon, Paul S. "Adaptive online brain-computer interface for interpretation and visualization of desired reach." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3355687.

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Thesis (Ph. D.)--University of California, San Diego, 2009.
Title from first page of PDF file (viewed June 23, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 88-93).

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Anand, Nagarajan. "A Conforming to Interface Structured Adaptive Mesh Refinement for Modeling Complex Morphologies." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574436067401755.

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Kost, Stefan. "Dynamically generated multi-modal application interfaces." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2006. http://nbn-resolving.de/urn:nbn:de:swb:14-1150806179876-45678.

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This work introduces a new UIMS (User Interface Management System), which aims to solve numerous problems in the field of user-interface development arising from hard-coded use of user interface toolkits. The presented solution is a concrete system architecture based on the abstract ARCH model consisting of an interface abstraction-layer, a dialog definition language called GIML (Generalized Interface Markup Language) and pluggable interface rendering modules. These components form an interface toolkit called GITK (Generalized Interface ToolKit). With the aid of GITK (Generalized Interface ToolKit) one can build an application, without explicitly creating a concrete end-user interface. At runtime GITK can create these interfaces as needed from the abstract specification and run them. Thereby GITK is equipping one application with many interfaces, even kinds of interfaces that did not exist when the application was written. It should be noted that this work will concentrate on providing the base infrastructure for adaptive/adaptable system, and does not aim to deliver a complete solution. This work shows that the proposed solution is a fundamental concept needed to create interfaces for everyone, which can be used everywhere and at any time. This text further discusses the impact of such technology for users and on the various aspects of software systems and their development. The targeted main audience of this work are software developers or people with strong interest in software development.

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Wang, Yifei. "Designing chatbot interfaces for language learning : ethnographic research into affect and users' experiences." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2742.

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During the past few decades, there has been increasing attention to multimodal adaptive language learning interface design. The purpose of this study was to examine users’ experiences with a chatbot language learning interface through the lens of cognitive emotions and emotions in learning. A particular focus of this study was on users’ interactions with a chatbot in a public setting and in a private environment. Focusing on the event of users’ interaction with a chatbot interface, seventy-five interactions were videotaped in this study, in which fifteen users were asked to interact with the chatbot “Lucy” for their language learning. The video-stimulated post interaction interviews with participants provided complementary data for understanding their experiences with the language learning system. Analysis of twenty-five interactions selected from a total of seventy-five revealed five main factors of chatbot language tutor interface design and their relative significance in the process of users’ meaning making and knowledge construction. Findings showed that users’ sensory, emotional, cultural, linguistic and relational engagement influenced their responses to the chatbot interface, which in turn, shaped their learning processes. Building on a theoretical framework of cognitive emotions and emotions in learning, this study documented users’ language learning processes with the chatbot language learning interface by investigating users’ experiences. The findings and techniques resulting from this study will help designers and researchers achieve a better understanding of users’ experiences with technology and the role of emotions in the processes of learning when using technology and assist them to improve the design of language learning environments.

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Chen, Yinnan. "A generic intelligent control system for grinding." Thesis, Liverpool John Moores University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.388528.

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Escobedo, Gonzalez Maiz Marco Antonio 1976. "Convivo communicator : an interface-adaptive voice over IP system for poor quality networks." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/61126.

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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2002.
Includes bibliographical references (leaves 100-102).
This thesis presents Convivo, a VoIP system designed to provide reliable voice communication for poor quality networks, especially those found in rural areas of the developing world. Convivo introduces an original approach to maintain voice communication interaction in presence of poor network performance: an Interface-Adaptation mechanism that suggests adjusting the application user interface to conform to one of three voice communication modalities (full duplex, half duplex, and voice messaging). The thesis proposes that changes in communication modality are an option to sustain voice communication interaction despite poor network performance. The goals of the changes in communication modality are to reduce the impact of high latency and low bandwidth on voice communication interaction, to facilitate turn taking for a high latency connection, and to sustain voice communication for extremely low bandwidth or high error links. The system was tested via a user study in Bohechio, a small village in the Dominican Republic. The study found that Interface-Adaptation helped users to maintain voice communication interaction when network performance degrades. Transitions from full duplex to voice messaging were found particularly valuable. Initial results suggest that as users get more experience with the application they would like to manually control transitions based on feedback provided by the application and their own perceived voice quality.
by Marco Antonio Escobedo Gonzalez Maiz.
S.M.

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Chen, Yuhao. "Conforming to interface structured adaptive mesh refinement technique for modeling moving boundary problems." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492428866626613.

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Shrivastava, Seema. "The interface between innate and adaptive immune responses: the role of coagulation proteins." Thesis, Imperial College London, 2008. http://hdl.handle.net/10044/1/5271.

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The role of coagulation proteins (CPs) in systems other than haemostasis is now recognised. Many of these cellular effects are through protease activated receptors (PARs). This project investigates how CPs influence the adaptive immune response, firstly through the expression of tissue factor (TF) on DCs; secondly through the action of PARs on dendritic cells (DCs) and T cells; and thirdly by examining the direct effect of anti-thrombin (AT) on DCs. This work identified for the first time a subset of mouse DCs that expresses TF. The form of TF changed from cryptic to pro-coagulant as DCs matured. In addition it was found that blocking TF on immature but not mature DCs enhanced their stimulatory capacity, possibly through PAR-2 signalling. In vivo studies supported this finding and suggest that inhibiting TF breaks T cell tolerance. Thrombin enhanced the T cell response through an effect on DCs but not T cells. Both primary and secondary responses increased but there was no change when stimulated T cells were rechallenged with thrombin-incubated DCs. This mechanism was not through changes in MHCII, co-stimulatory molecules or cytokine production. Although DCs expressed PAR, individual PAR-1 or PAR-4 activation did not affect DC stimulatory capacity. Anti-thrombin was found to reduce T cell activation in vivo. When DCs were treated with AT alone there was no change in T cell response, whereas treatment with AT before LPS led to an increase in IL-4 and IL-10 from T cells suggesting induction of tolerance. Anergy and T cell suppressor assays, however, failed to demonstrate a tolerant phenotype. Overall the findings demonstrate that DCs have the ability to generate and respond to CPs and thus influence the T cell response. This work identifies potential new targets in the innate system which may be used to influence the adaptive immune response.

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Mohd, Sabri Roslee. "Design of an adaptive RF fingerprint indoor positioning system." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31069.

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RF fingerprinting can solve the indoor positioning problem with satisfactory accuracy, but the methodology depends on the so-called radio map calibrated in the offline phase via manual site-survey, which is costly, time-consuming and somewhat error-prone. It also assumes the RF fingerprint’s signal-spatial correlations to remain static throughout the online positioning phase, which generally does not hold in practice. This is because indoor environments constantly experience dynamic changes, causing the radio signal strengths to fluctuate over time, which weakens the signal-spatial correlations of the RF fingerprints. State-of-the-arts have proposed adaptive RF fingerprint methodology capable of calibrating the radio map in real-time and on-demand to address these drawbacks. However, existing implementations are highly server-centric, which is less robust, does not scale well, and not privacy-friendly. This thesis aims to address these drawbacks by exploring the feasibility of implementing an adaptive RF fingerprint indoor positioning system in a distributed and client-centric architecture using only commodity Wi-Fi hardware, so it can seamlessly integrate with existing Wi-Fi network and allow it to offer both networking and positioning services. Such approach has not been explored in previous works, which forms the basis of this thesis’ main contribution. The proposed methodology utilizes a network of distributed location beacons as its reference infrastructure; hence the system is more robust since it does not have any single point-of-failure. Each location beacon periodically broadcasts its coordinate to announce its presence in the area, plus coefficients that model its real-time RSS distribution around the transmitting antenna. These coefficients are constantly self-calibrated by the location beacon using empirical RSS measurements obtained from neighbouring location beacons in a collaborative fashion, and fitting the values using path loss with log-normal shadowing model as a function of inter-beacon distances while minimizing the error in a least-squared sense. By self-modelling its RSS distribution in real-time, the location beacon becomes aware of its dynamically fluctuating signal levels caused by physical, environmental and temporal characteristics of the indoor environment. The implementation of this self-modelling feature on commodity Wi-Fi hardware is another original contribution of this thesis. Location discovery is managed locally by the clients, which means the proposed system can support unlimited number of client devices simultaneously while also protect user’s privacy because no information is shared with external parties. It starts by listening for beacon frames broadcasted by nearby location beacons and measuring their RSS values to establish the RF fingerprint of the unknown point. Next, it simulates the reference RF fingerprints of predetermined points inside the target area, effectively calibrating the site’s radio map, by computing the RSS values of all detected location beacons using their respective coordinates and path loss coefficients embedded inside the received beacon frames. Note that the coefficients model the real-time RSS distribution of each location beacon around its transmitting antenna; hence, the radio map is able to adapt itself to the dynamic fluctuations of the radio signal to maintain its signal-spatial correlations. The final step is to search the radio map to find the reference RF fingerprint that most closely resembles the unknown sample, where its coordinate is returned as the location result. One positioning approach would be to first construct a full radio map by computing the RSS of all detected location beacons at all predetermined calibration points, then followed by an exhaustive search over all reference RF fingerprints to find the best match. Generally, RF fingerprint algorithm performs better with higher number of calibration points per unit area since more locations can be classified, while extra RSS components can help to better distinguish between nearby calibration points. However, to calibrate and search many RF fingerprints will incur substantial computing costs, which is unsuitable for power and resource limited client devices. To address this challenge, this thesis introduces a novel algorithm suitable for client-centric positioning as another contribution. Given an unknown RF fingerprint to solve for location, the proposed algorithm first sorts the RSS in descending order. It then iterates over this list, first selecting the location beacon with the strongest RSS because this implies the unknown location is closest to the said location beacon. Next, it computes the beacon’s RSS using its path loss coefficients and coordinate information one calibration point at a time while simultaneously compares the result with the measured value. If they are similar, the algorithm keeps this location for subsequent processing; else it is removed because distant points relative to the unknown location would exhibit vastly different RSS values due to the different site-specific obstructions encountered by the radio signal propagation. The algorithm repeats the process by selecting the next strongest location beacon, but this time it only computes its RSS for those points identified in the previous iteration. After the last iteration completes, the average coordinate of remaining calibration points is returned as the location result. Matlab simulation shows the proposed algorithm only takes about half of the time to produce a location estimate with similar positioning accuracy compared to conventional algorithm that does a full radio map calibration and exhaustive RF fingerprint search. As part of the thesis’ contribution, a prototype of the proposed indoor positioning system is developed using only commodity Wi-Fi hardware and open-source software to evaluate its usability in real-world settings and to demonstrate possible implementation on existing Wi-Fi installations. Experimental results verify the proposed system yields consistent positioning accuracy, even in highly dynamic indoor environments and changing location beacon topologies.

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Hartness, Ken T. N. "Adaptive Planning and Prediction in Agent-Supported Distributed Collaboration." Thesis, University of North Texas, 2004. https://digital.library.unt.edu/ark:/67531/metadc4702/.

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Agents that act as user assistants will become invaluable as the number of information sources continue to proliferate. Such agents can support the work of users by learning to automate time-consuming tasks and filter information to manageable levels. Although considerable advances have been made in this area, it remains a fertile area for further development. One application of agents under careful scrutiny is the automated negotiation of conflicts between different user's needs and desires. Many techniques require explicit user models in order to function. This dissertation explores a technique for dynamically constructing user models and the impact of using them to anticipate the need for negotiation. Negotiation is reduced by including an advising aspect to the agent that can use this anticipation of conflict to adjust user behavior.

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Yelisyeyev, Andriy. "Interface cerveau-machine à partir d'enregistrement électrique cortical." Thesis, Grenoble, 2011. http://www.theses.fr/2011GRENS038/document.

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Une Interface Cerveau-Machine (ICM) est un système permettant de transformer l'activité neurale du cerveau en une commande d'effecteurs externes. Cette étude correspond à une étape vers une ICM totalement autonome fonctionnant dans un environnement naturel ce qui est d'une importance cruciale pour les futures applications cliniques d'une ICM. Pour représenter l'environnement naturel, des expériences avec une ICM binaire asynchrone ont été réalisées avec des animaux libres de se mouvoir. En comparaison avec les études précédentes, des expériences sur le long terme ont été réalisées, ce qui est plus conforme aux exigences des applications de la vie réelle. L'objectif principal de cette étude est de différencier le modèle spécifique neuronal lié à l'intention d'action de l'activité de fond du cerveau chez des animaux libres de tous mouvements. Pour atteindre le niveau nécessaire de sélectivité, l'analyse Multi-Voies PLS a été choisie sachant qu'elle fournit simultanément un traitement du signal dans plusieurs domaines, à savoir, temporel, fréquentiel et spatial. Pour améliorer la capacité de l'approche générique Multi-Voies PLS pour le traitement de données à grandes dimensions, l'algorithme « Itérative NPLS » est introduit dans notre travail. En ayant des besoins plus faibles en mémoire, cet algorithme fournit des traitements de grands ensembles de données, permet une résolution élevée, préserve l'exactitude de l'algorithme générique et démontre une meilleure robustesse. Pour la calibration adaptative d'un système ICM, l'algorithme récursif NPLS est proposé. Finalement, l'algorithme pénalisé NPLS est développé pour la sélection efficace d'un sous-ensemble de fonctions, à savoir, un sous-ensemble d'électrodes. Les algorithmes proposés ont été testés sur des ensembles de données artificielles et réelles. Ils ont démontré une performance qui est comparable à celle d'un algorithme générique NPLS. Leur efficacité de calcul est acceptable pour les applications en temps réel. Les algorithmes développés ont été appliqués à la calibration d'un système ICM et ont été utilisés dans des expériences d'ICM avec bouclage en temps réel chez des animaux. Enfin, les méthodes proposées représentent une approche prospective pour de futurs développements de systèmes ICM humains
Brain Computer Interface (BCI) is a system for translation of brain neural activity into commands for external devices. This study was undertaken as a step toward the fully autonomous (self-paced) BCI functioning in natural environment which is of crucial importance for BCI clinical applications. To model the natural environment binary self-paced BCI experiments were carried out in freely moving animals. In comparison to the previous works, the long-term experimental sessions were carried out, which better comply with the real-life applications requirements. The main goal of the study was to discriminate the specific neuronal pattern related to the animal's control action against background brain activity of freely-moving animal. To achieve the necessary level of selectivity the Multi-Way Analysis was chosen since it provides a simultaneous signal processing in several domains, namely, temporal, frequency and spatial. To improve the capacity of the generic Multy-Way PLS approach for treatment of high-dimensional data, the Iterative NPLS algorithm is introduced in the current study. Having lower memory requirements it provides huge datasets treatment, allows high resolution, preserves the accuracy of the generic algorithm, and demonstrates better robustness. For adaptive calibration of BCI system the Recursive NPLS algorithm is proposed. Finally, the Penalized NPLS algorithm is developed for effective selection of feature subsets, namely, for subset of electrodes. The proposed algorithms were tested on artificial and real datasets. They demonstrated performance which either suppress or is comparable with one of the generic NPLS algorithm. Their computational efficiency is acceptable for the real-time applications. Developed algorithms were applied for calibration of the BCI system and were used in the real-time close-loop binary BCI experiments in animals. The proposed methods represent a prospective approach for further development of a human BCI system

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Zhou, Chunfeng. "Simulations of interfacial dynamics of complex fluids using diffuse interface method with adaptive meshing." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/1062.

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A diffuse-interface finite-element method has been applied to simulate the flow of two-component rheologically complex fluids. It treats the interfaces as having a finite thickness with a phase-field parameter varying continuously from one phase to the other. Adaptive meshing is applied to produce fine grid near the interface and coarse mesh in the bulk. It leads to accurate resolution of the interface at modest computational costs. An advantage of this method is that topological changes such as interfacial rupture and coalescence happen naturally under a short-range force resembling the van der Waals force. There is no need for manual intervention as in sharp-interface model to effect such event. Moreover, this energy-based formulation easily incorporates complex rheology as long as the free energy of the microstructures is known. The complex fluids considered in this thesis include viscoelastic fluids and nematic liquid crystals. Viscoelasticity is represented by the Oldroyd-B model, derived for a dilute polymer solution as linear elastic dumbbells suspended in a Newtonian solvent. The Leslie-Ericksen model is used for nematic liquid crystals，which features distortional elasticity and viscous anisotropy. The interfacial dynamics of such complex fluids are of both scientific and practical significance. The thesis describes seven computational studies of physically interesting problems. The numerical simulations of monodisperse drop formation in microfluidic devices have reproduced scenarios of jet breakup and drop formation observed in experiments. Parametric studies have shown dripping and jetting regimes for increasing flow rates, and elucidated the effects of flow and rheological parameters on the drop formation process and the final drop size. A simple liquid drop model is used to study the neutrophil, the most common type of white blood cell, transit in pulmonary capillaries. The cell size, viscosity and rheological properties are found to determine the transit time. A compound drop model is also employed to account for the cell nucleus. The other four cases concern drop and bubble dynamics in nematic liquid crystals, as determined by the coupling among interfacial anchoring, bulk elasticity and anisotropic viscosity. In particular, the simulations reproduce unusual bubble shapes seen in experiments, and predict self-assembly of microdroplets in nematic media.

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McKenzie, Neil R. "The Cranium network interface architecture : support for message passing on adaptive packet routing networks /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/6874.

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Millward, Raymond. "A new adaptive multiscale finite element method with applications to high contrast interface problems." Thesis, University of Bath, 2011. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.544505.

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In this thesis we show that the finite element error for the high contrast elliptic interface problem is independent of the contrast in the material coefficient under certain assumptions. The error estimate is proved using a particularly technical proof with construction of a specific function from the finite dimensional space of piecewise linear functions. We review the multiscale finite element method of Chu, Graham and Hou to give clearer insight. We present some generalisations to extend their work on a priori contrast independent local boundary conditions, which are then used to find multiscale basis functions by solving a set of local problems. We make use of their regularity result to prove a new relative error estimate for both the standard finte element method and the multiscale finite element method that is completely coefficient independent. The analytical results we explore in this thesis require a complicated construction. To avoid this we present an adaptive multiscale finite element method as an enhancement to the adaptive local-global method of Durlofsky, Efendiev and Ginting. We show numerically that this adaptive method converges optimally as if the coefficient were smooth even in the presence of singularities as well as in the case of a realisation of a random field. The novel application of this thesis is where the adaptive multiscale finite element method has been applied to the linear elasticity problem arising from the structural optimisation process in mechanical engineering. We show that a much smoother sensitivity profile is achieved along the edges of a structure with the adaptive method and no additional heuristic smoothing techniques are needed. We finally show that the new adaptive method can be efficiently implemented in parallel and the processing time scales well as the number of processors increases. The biggest advantage of the multiscale method is that the basis functions can be repeatedly used for additional problems with the same high contrast material coefficient.

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Mousel, John Arnold. "A massively parallel adaptive sharp interface solver with application to mechanical heart valve simulations." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/3502.

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This thesis presents a framework for simulating the fluid dynamical behavior of complex moving boundary problems in a high-performance computing environment. The framework is implemented in the pELAFINT3D software package. Moving boundaries are evolved in a seamless fashion through the use of distributed narrow band level set methods and the effect of moving boundaries is incorporated into the flow solution by a novel Cartesian grid method. The proposed Cartesian grid approach builds on the concept of a ghost fluid method where boundary conditions are applied through least-squares polynomial extrapolations. The method is hybridized such that computational cells adjacent to moving boundaries change discretization schemes smoothly in time to avoid the introduction of strong oscillations in the pressure field. The hybridization is shown to have minimal effect on accuracy while significantly suppressing pressure oscillations. The computational capability of the Cartesian grid approach is enhanced with a massively parallel adaptive meshing algorithm. Local mesh enrichment is effected through the use of octree refinement, and a scalable mesh pruning algorithm is used to reduce the memory footprint of the Cartesian grid for geometries which are not well bounded by a rectangular cuboid. The computational work is kept in a well-balanced state through the use of an adaptive repartitioning strategy. The numerical scheme is validated against many benchmark problems and the composite approach is demonstrated to work well on tens of thousands of computational cores. A simulation of the closure phase of a mechanical heart valve was carried out to demonstrate the ability of the pELAFINT3D package to compute high Reynolds number flows with complex moving boundaries and a wide disparity in length scales. Finally, a novel image-to-computation algorithm was implemented to demonstrate the flexibility the current method allows in designing new applications.

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Karime, Ali. "CAHR: A Contextually Adaptive Rehabilitation Framework for In-Home Training." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30494.

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Home-based rehabilitation has evolved in recent years as a cost-effective and convenient alternative to traditional clinical rehabilitation. Researchers have developed various types of sensors-based rehabilitation systems that incorporate Virtual Reality games aimed to offer the patient an entertaining and beneficial training experience from the comfort of home. This has consequently created the need to design reliable assessment and adaptation mechanisms that are able to measure and analyze the patient's performance and condition, and to accordingly make proper adjustments that conform to the abilities of the patient during the training. In this dissertation, we introduce our context-based adaptive home-based rehabilitation framework (CAHR) that offers the patients a rehabilitation environment that can adapt based on their physical, physiological, and psychological context, while taking into consideration the environmental conditions that may hinder their progress. CAHR is a generic framework that can be implemented to fit any of the upper or lower extremity rehabilitation. However, in this dissertation, we base our modeling and analysis mainly on the wrist. In CAHR, the physical condition of the patient is assessed by a fuzzy logic-based mechanism that uses the various kinematics captured during the training to provide a quantified value which reflects the Quality of Physical Performance of the patient. The rehabilitation task adaptation is achieved based on a special algorithm that defines how the physical training, psychophysiological responses, and environmental conditions must be manipulated in order to match the desired performance target parameters set by the therapist. The simulation results have shown that the proposed adaptation engine can properly adjust the rehabilitation environment based on different simulated performance behavior that might be produced by a patient. In addition, training with a special game that has been designed based on the developed framework has shown improvement in the physical capabilities of two patients suffering from upper extremity impairments.

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Villanueva, Walter. "Diffuse-Interface Simulations of Capillary Phenomena." Doctoral thesis, Stockholm : Kungl. tekniska högskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4402.

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Czarske, Jürgen, C. Leithold, Hannes Radner, Lars Büttner, Moritz Stürmer, and U. Wallrabe. "Undisturbed interferometric sensing through a fluid interface by electrically-tunable lenses and micro mirrors." SPIE, 2015. https://tud.qucosa.de/id/qucosa%3A34996.

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We have harnessed the power of various programmable photonics devices for an interferometric measurement technique. Distortion-free laser-based velocity measurements through a dynamic gas-liquid interface are enabled by a closed-loop optoelectronic system. We are employing electrically tunable lenses and micro mirrors to correct low-order wavefront distortions effectively. Our work represents a paradigm shift in interferometric velocity measurement techniques from using static to dynamic optical elements.

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Horiguchi, Yukio. "Design of Co-Adaptive Interface System for Supporting Joint Task by Human and Machine Autonomies." 京都大学 (Kyoto University), 2005. http://hdl.handle.net/2433/77779.

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Elineni, Sravan Kumar. "Human Factors Consideration in Developing a New Drive-by-Wire Interface." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1625.

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The current study examined specific aspects of human factors involved in driving a vehicle with a modified Drive-by-Wire (DBW) control system. A DBW system is an electro-mechanical system which controls the primary operations of a vehicle such as steering, acceleration, and braking using a controller such as a joystick. Designing a human interface system for a DBW system involves three main phases in the human factors design process namely user centric/ergonomic design conception, building a prototype and validating the prototype based on human factor considerations. The main objective and focus of this research is to conceptualize a more ergonomic DBW control interface based on human participant evaluations completed in a virtual reality driving simulator equipped with DBW controls. A secondary consideration is the gathering of data for the preparation of a future driver training course. The driving characteristics of 30 participants consisting of 3 different groups, ages 18-64, ages 65+,and people with disabilities were evaluated while driving with three different controllers: a joystick, a reduced effort steering wheel plus gas-brake lever combination (GB), and conventional vehicle controls (no Drive-by-Wire or NDBW), which included foot pedals and a steering wheel. The participants were required to drive through different scenarios such as mountain, city, and highway roads, in order to obtain user capabilities related to the steering, accelerating, braking, and compliance with traffic rules. To examine the steering lane data obtained from the simulator, percent error in lane deviation was calculated and presented against time. The results indicated that the joystick was the most difficult to drive on a straight road. The GB controller was easier to control on straight path maneuvers than the joystick, but it had an over-steering tendency at curves while the joystick was better at curves. To examine group differences of different variables, a one-way analysis of variance (ANOVA) was performed. Results showed that lane position variation, reaction time to brake, reaction distance and stopping distance had significance among variables such as maximum vehicle speed, improper space cushions, and missed turn signals, etc. Understanding the above characteristics can largely help in the development of a DBW interface system that heavily weighs human factors.

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Nordberg, Andreas, and Jonathan Sjölund. "Geo-based media player : An interactive interface for geo-based video streaming." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129609.

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Being able to interact with video streams can be both fun, educational and provide help during disaster situations. However, to achieve the best user experience the interaction must be seamless. This thesis presents the design and implementation of an interface for a media player that allows for users to view multiple video streams of the same event from different geographical positions and angles. The thesis first describes the system design and methods used to implement this kind of media player and explains how to achieve a seemingly good and, to a higher extent, enjoyable video streaming experience. Second, an algorithm is developed for placing each video stream object on the interface's geographic-based map automatically. These objects are placed to ensure the relative positions of the objects compared to the real world. The end result of this project is a proof-of-concept media player which enables a user to see an overview over a geographical streaming area. Presented with the relative location of each stream to the point of interest the player allows the user to click on that stream and switch to viewing the recordings from that point of view. While the resulting player is not yet seamless, the result of this project shows the command-and-control center as initially envisioned. Implementing seamless, uninterrupted, switching between the video streams is outside the scope of this thesis. However, as demonstrated and argued in the thesis, the work done here and the developed software code will allow for easy integration of more advanced prefetching algorithms in future and parallel works.

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Asgari, Elham. "Complement activation and effector pathways in ischaemia reperfusion injury and at the interface with adaptive immunity." Thesis, King's College London (University of London), 2013. https://kclpure.kcl.ac.uk/portal/en/theses/complement-activation-and-effector-pathways-in-ischaemia-reperfusion-injury-and-at-the-interface-with-adaptive-immunity(d6d40be3-8d3b-450d-9a62-a352978d362e).html.

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Ischaemia reperfusion injury (IRI) is an important source of morbidity and mortality and contributes to renal transplant failure. Renal IRI is known to be mediated by complement, which causes direct injury to the transplant and stimulates the adaptive immune response against transplant antigens. However uncertainty exists as to the exact trigger mechanisms of complement activation in this situation, and to the relative importance of certain effector molecules generated by complement activation. Based on the results of previous studies, I hypothesized that there would be greater involvement of the lectin pathway than previously recognized, as a trigger mechanism that could both initiate complement activation and lead to amplification via the alternative pathway in renal IRI. I also predicted that, whereas C5a has been shown to play a part in the genesis of IRI, C3a could be shown to have an important effect on innate cells that form a bridge with adaptive immunity. The aim of the work described in this thesis was therefore to investigate: (a) the role of the lectin pathway in IRI through the enzyme MASP-2; and (b) the role of C3a linking up the innate and adaptive immune responses following transplantation. I first investigated renal IRI in mice with deficiencies of the classical (C4), alternative (FB) and lectin (MASP-2) pathways of complement activation in order to explore the notion that the injury was mediated by the lectin pathway. Absence of C4 and FB did not protect the mice in a transplant model of IRI; but absence of MASP-2 was markedly protective suggesting that the lectin pathway - or rather a variant of it that did not involve C4 - has a significant role in the mouse kidney transplant IRI. As a result, I also investigated the therapeutic effect of anti-MASP-2 antibody in the mouse kidney isograft model. Absence of C3a-receptor in a native kidney model of IRI did not convey a substantial protective effect, suggesting no major effect of C3a in this injury. However, exploring a possible effect of C3a on the adaptive immune response, I found that stimulation of monocytes with C3a in conjunction with LPS resulted in significant IL-1β production which in turn induced Th-17 cells. I identified that the increase in monocyte IL-1β production is ATP and caspase-1 dependent and that the change in ATP is modulated by Pannexin-1 channel. My findings identify MASP-2 as an early step in the pathogenesis of complement-mediated mouse kidney IRI and support its identity as a therapeutic target. Furthermore, as both monocytes and Th-17 cells have been previously identified as major contributors to acute kidney rejection after transplantation, my results could explain, at least in part, how complement activation induced by tissue stress during the transplant procedure has an impact on the alloimmune response.

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Dissertations / Theses on the topic 'Adaptive interface'

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