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Grant, Timothy John. "Inductive learning of knowledge-based planning operators." [Maastricht : Maastricht : Rijksuniversiteit Limburg] ; University Library, Maastricht University [Host], 1996. http://arno.unimaas.nl/show.cgi?fid=6686.
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Kao, Hai Feng. "Optimal planning with approximate model-based reinforcement learning." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/39889.
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Model-based reinforcement learning methods make efficient use of samples by
building a model of the environment and planning with it. Compared to model-free
methods, they usually take fewer samples to converge to the optimal policy. Despite that efficiency, model-based methods may not learn the optimal policy due to
structural modeling assumptions. In this thesis, we show that by combining model-
based methods with hierarchically optimal recursive Q-learning (HORDQ) under
a hierarchical reinforcement learning framework, the proposed approach learns the
optimal policy even when the assumptions of the model are not all satisfied. The
effectiveness of our approach is demonstrated with the Bus domain and Infinite
Mario – a Java implementation of Nintendo’s Super Mario Brothers.
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Cervera, Mateu Enric. "Perception-Based Learning for Fine Motion Planning in Robot Manipulation." Doctoral thesis, Universitat Jaume I, 1997. http://hdl.handle.net/10803/10377.
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Robots must successfully execute tasks in the presence of uncertainty. The main sources of uncertainty are modeling, sensing, and control. Fine motion problems involve a small-scale space and contact between objects.
Though modern manipulators are very precise and repetitive, complex tasks may be difficult --or even impossible-- to model at the desired degree of exactitude; moreover, in real-world situations, the environment is not known a-priori and visual sensing does not provide enough accuracy.
In order to develop successful strategies, it is necessary to understand what can be perceived, what action can be learnt --associated-- according to the perception, and how can the robot optimize its actions with regard to defined criteria.
The thesis describes a robot programming architecture for learning fine motion tasks.
Learning is an autonomous process of experience repetition, and the target is to achieve the goal in the minimum number of steps. Uncertainty in the location is assumed, and the robot is guided mainly by the sensory information acquired by a force sensor.
The sensor space is analyzed by an unsupervised process which extracts features related with the probability distribution of the input samples. Such features are used to build a discrete state of the task to which an optimal action is associated, according to the past experience. The thesis also includes simulations of different sensory-based tasks to illustrate some aspects of the learning processes.
The learning architecture is implemented on a real robot arm with force sensing capabilities. The task is a peg-in-hole insertion with both cylindrical and non-cylindrical workpieces.
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Nikolaev, Pavel. "Policy-based planning for student mobility support in e-Learning systems." Thesis, De Montfort University, 2014. http://hdl.handle.net/2086/10132.
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Student mobility in the area of Higher Education (HE) is gaining more attention nowadays. It is one of the cornerstones of the Bologna Process being promoted at both national and international levels. However, currently there is no technical system that would support student mobility processes and assist users in authoring educational curricula involving student mobility. In this study, the problem of student mobility programmes generation based on existing modules and programmes is considered. A similar problem is being solved in an Intelligent Tutoring Systems field using Curriculum generation techniques, but the student mobility area has a set of characteristics limiting their application to the considered problem. One of main limiting factors is that mobility programmes should be developed in an environment with heterogeneous regulations. In this environment, various established routines and regulations are used to control different aspects of the educational process. These regulations can be different in different domains and are supported by different authors independently. In this thesis, a novel framework was developed for generation of student mobility programmes in an environment with heterogeneous regulations. Two core technologies that were coherently combined in the framework are hierarchical planning and policy-based management. The policy-based planner was designed as a central engine for the framework. It extends the functionality of existing planning technologies and provides the means to carry out planning in environments with heterogeneous regulations, specified as policies. The policy-based planner enforces the policies during the planning and guarantees that the resultant plan is conformant with all policies applicable to it. The policies can be supported by different authors independently. Using them, policy authors can specify additional constraints on the execution of planning actions and extend the pre-specified task networks. Policies are enforced during the planning in a coordinated manner: situations when a policy can be enforced are defined by its scope, and the outcomes of policy evaluation are processed according to the specially defined procedures. For solving the problem of student mobility programme generation using the policy-based planner, the planning environment describing the student mobility problem area was designed and this problem was formalised as a planning task. Educational processes valid throughout the HE environment were formalised using Hierarchical Task Network planning constructs. Different mobility schemas were encoded as decomposition methods that can be combined to construct complex mobility scenarios satisfying the user requirements. New mobility programmes are developed as detailed educational processes carried out when students study according to these programmes. This provides the means to model their execution in the planning environment and guarantee that all relevant requirements are checked. The postponed policy enforcement mechanism was developed as an extension of the policy-based planner in order to improve the planning performance. In this mechanism, future dead-ends can be detected earlier during the planning using partial policy requests. The partial policy requests and an algorithm for their evaluation were introduced to examine policies for planning actions that should be executed in the future course of planning. The postponed policy enforcement mechanism was applied to the mobility programme generation problem within the descending policy evaluation technique. This technique was designed to optimise the process of programme components selection. Using it, policies for different domains can be evaluated independently in a descending order, gradually limiting the scope for the required component selection. The prototype of student mobility programme generation solution was developed. Two case studies were used to examine the process of student mobility programmes development and to analyse the role of policies in this process. Additionally, four series of experiments were carried out to analyse performance gains of the descending policy evaluation technique in planning environments with different characteristics.
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Richardson, Karen Work. "Looking at/looking through: Teachers planning for curriculum -based learning with technology." W&M ScholarWorks, 2009. https://scholarworks.wm.edu/etd/1550154152.
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Pengelly, M. "Principled decision-making for tutoring : a rational construction of planning and decision-making from instructional principles." Thesis, University of Exeter, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235986.
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Eriksson, Jan, and Dag Øyvind Tornes. "Learning to play Starcraft with Case-based Reasoning : Investigating issues in large-scale case-based planning." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for datateknikk og informasjonsvitenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18720.
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In this master thesis we describe our work in creating a planner for the real-time strategy game Starcraft using case-based reasoning. Our work has been focused on the challenges in creating a usable casebase, and the resulting issues arising from scaling up the casebase.First, we present an agent designed to play Starcraft using plans from our CBR planner, and its architecture. We then move on to describe how this planner works, and how it overcomes the challenges in scaling up.We then present several experiments designed to measure how well our approach works given the limitations we have set. Finally, we discuss our results, and provide some interesting unsolved challenges which may benefit from further investigation.
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Robinson, Eric John S. M. Massachusetts Institute of Technology. "Coordinated planning of air and space assets : an optimization and learning based approach." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/84185.
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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2013.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
"June 2013." Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 155-157).
collect information. This may include taking pictures of the ground, gathering infrared photos, taking atmospheric pressure measurements, or any conceivable form of data collection. Often these separate organizations have overlapping collection interests or flight plans that are sending sensors into similar regions. However, they tend to be controlled by separate planning systems which operate on asynchronous scheduling cycles. We present a method for coordinating various collection tasks between the planning systems in order to vastly increase the utility that can be gained from these assets. This method focuses on allocation of collection requests to scheduling systems rather than complete centralized planning over the entire system so that the current planning infrastructure can be maintained without changing any aspects of the schedulers. We expand on previous work in this area by inclusion of a learning method to capture information about the uncertainty pertaining to the completion of collection tasks, and subsequently utilize this information in a mathematical programming method for resource allocation. An analysis of results and improvements as compared to current operations is presented at the end.
by Eric John Robinson.
S.M.
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Johansson, Åke, and Joel Wikner. "Learning-Based Motion Planning and Control of a UGV With Unknown and Changing Dynamics." Thesis, Linköpings universitet, Reglerteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176923.
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Research about unmanned ground vehicles (UGVs) has received an increased amount of attention in recent years, partly due to the many applications of UGVs in areas where it is inconvenient or impossible to have human operators, such as in mines or urban search and rescue. Two closely linked problems that arise when developing such vehicles are motion planning and control of the UGV. This thesis explores these subjects for a UGV with an unknown, and possibly time-variant, dynamical model. A framework is developed that includes three components: a machine learning algorithm to estimate the unknown dynamical model of the UGV, a motion planner that plans a feasible path for the vehicle and a controller making the UGV follow the planned path. The motion planner used in the framework is a lattice-based planner based on input sampling. It uses a dynamical model of the UGV together with motion primitives, defined as a sequence of states and control signals, which are concatenated online in order to plan a feasible path between states. Furthermore, the controller that makes the vehicle follow this path is a model predictive control (MPC) controller, capable of taking the time-varying dynamics of the UGV into account as well as imposing constraints on the states and control signals. Since the dynamical model is unknown, the machine learning algorithm Bayesian linear regression (BLR) is used to continuously estimate the model parameters online during a run. The parameter estimates are then used by the MPC controller and the motion planner in order to improve the performance of the UGV. The performance of the proposed motion planning and control framework is evaluated by conducting a series of experiments in a simulation study. Two different simulation environments, containing obstacles, are used in the framework to simulate the UGV, where the performance measures considered are the deviation from the planned path, the average velocity of the UGV and the time to plan the path. The simulations are either performed with a time-invariant model, or a model where the parameters change during the run. The results show that the performance is improved when combining the motion planner and the MPC controller with the estimated model parameters from the BLR algorithm. With an improved model, the vehicle is capable of maintaining a higher average velocity, meaning that the plan can be executed faster. Furthermore, it can also track the path more precisely compared to when using a less accurate model, which is crucial in an environment with many obstacles. Finally, the use of the BLR algorithm to continuously estimate the model parameters allows the vehicle to adapt to changes in its model. This makes it possible for the UGV to stay operational in cases of, e.g., actuator malfunctions.
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Albert, Christian [Verfasser]. "Scenario-based landscape planning : influencing decision-making through substantive outputs and social learning / Christian Albert." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2012. http://d-nb.info/1022753908/34.
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Wichall, Nigel C. "A new methodology for planning teaching and learning space within a UK based higher education institution." Thesis, University of Gloucestershire, 2014. http://eprints.glos.ac.uk/648/.
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The topic for the research is focussed on establishing a new working procedure to help universities improve the way they use and manage space. This research is important to the higher education sector for two reasons. Adopting this new procedure will help space planners achieve improved space efficiency with associated cost savings but more importantly it achieves the efficiencies in ways that complement how staff wish to deliver teaching and how students wish to learn. The current space planning methodology within the sector predicts and controls space use through a spreadsheet based application that calculates demand by multiplying student numbers by a space norm. Specifically the aim of the research is to develop a collaborative space planning methodology that engenders academic commitment to effect space utilisation efficiency. The central research question posed was to understand if such a radically different approach to space planning, that considers the variable concept of the learning interaction, can improve space utilisation. The research to develop the space planning framework is presented in the form of a case study within a university faculty. The ontological and epistemological position reflected by the methodology moves away from positivism’s experimental approach that attempts to prove through a quantitative assessment of space that a faculty has too much or too little space. The research strategy is positioned within a very different participatory paradigm. (Onwuegbuzie, Johnson and Collins, 2009, p.122) The methodology encourages the space planner to reflect on a much wider interpretation of the definition of an effective learning environment. The qualitative data gathered through the case study was developed through action research, specifically co-operative inquiry. The process of engaging the stakeholders is the new learning presented by this research. Overall the department that was the focus of the case study believes the resources provided and planned for in the immediate future will meet the requirements of the proposed curriculum plan. In addition, the net internal area proposed for the department will be significantly lower, 17% less than the base case assessment calculated through the use of traditional space norms. The research suggests that this different methodology can improve space efficiency and contribute to improving the planning procedures within an educational organisation. The findings of the research were subject to validation by space management practitioners within the University of Gloucestershire and external sector experts. Further research is proposed through the Association of University Directors of Estate (AUDE).
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Arslan, Oktay. "Machine learning and dynamic programming algorithms for motion planning and control." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54317.
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Robot motion planning is one of the central problems in robotics, and has received considerable amount of attention not only from roboticists but also from the control and artificial intelligence (AI) communities. Despite the different types of applications and physical properties of robotic systems, many high-level tasks of autonomous systems can be decomposed into subtasks which require point-to-point navigation while avoiding infeasible regions due to the obstacles in the workspace. This dissertation aims at developing a new class of sampling-based motion planning algorithms that are fast, efficient and asymptotically optimal by employing ideas from Machine Learning (ML) and Dynamic Programming (DP). First, we interpret the robot motion planning problem as a form of a machine learning problem since the underlying search space is not known a priori, and utilize random geometric graphs to compute consistent discretizations of the underlying continuous search space. Then, we integrate existing DP algorithms and ML algorithms to the framework of sampling-based algorithms for better exploitation and exploration, respectively. We introduce a novel sampling-based algorithm, called RRT#, that improves upon the well-known RRT* algorithm by leveraging value and policy iteration methods as new information is collected. The proposed algorithms yield provable guarantees on correctness, completeness and asymptotic optimality. We also develop an adaptive sampling strategy by considering exploration as a classification (or regression) problem, and use online machine learning algorithms to learn the relevant region of a query, i.e., the region that contains the optimal solution, without significant computational overhead. We then extend the application of sampling-based algorithms to a class of stochastic optimal control problems and problems with differential constraints. Specifically, we introduce the Path Integral - RRT algorithm, for solving optimal control of stochastic systems and the CL-RRT# algorithm that uses closed-loop prediction for trajectory generation for differential systems. One of the key benefits of CL-RRT# is that for many systems, given a low-level tracking controller, it is easier to handle differential constraints, so complex steering procedures are not needed, unlike most existing kinodynamic sampling-based algorithms. Implementation results of sampling-based planners for route planning of a full-scale autonomous helicopter under the Autonomous Aerial Cargo/Utility System Program (AACUS) program are provided.
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Schäfer, Florian [Verfasser]. "Multi-year time-series-based power system planning with hybrid optimization and supervised learning methods / Florian Schäfer." Kassel : kassel university press c/o Universität Kassel - Universitätsbibliothek, 2021. http://d-nb.info/1233246771/34.
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Baydoun, Atallah. "FDG-PET/MR for Cervical Cancer Staging and Radiation Therapy Planning: A Novel, Deep Learning-based Approach." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1594844980840027.
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Maphutha, Mokwi Morgan. "Conceptualisation of service-learning at two rural-based universities." Thesis, University of Limpopo, 2016. http://hdl.handle.net/10386/3302.
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Thesis (PhD. (Education)) --University of Limpopo, 2016This study reports on an exploration of a conceptual framework for service-learning in order to provide a shared and common understanding necessary for guiding best practice of service-learning at the heart of two-rural-based universities in South Africa. The key research question answered in this study was: How is service-learning conceptualised by dir ectors of community engagement, project coordinators, academic staff members, and students at two rural-based universities in South Africa? The following sub-questions were developed on the basis of the key research question: • What are the current community engagement projects that can be modified for future practice of service-learning at two rural-based universities in South Africa? • What are the views of directors of community engagement, project coordinators, academic staff members, and students regarding conceptualisation of service-learning at two rural-based universities in South Africa? • What are the possible strategies for conceptualising and managing the quality of service-learning at two rural-based universities in South Africa? • What framework will be relevant and appropriate for conceptualising and implementing service-learning at two rural-based universities in South Africa? A qualitative research approach using grounded theory design was employed in this study. Convenience sampling was used to select the two rural-based universities in the Limpopo Province of South Africa. Four similar schools from each university (Education, Law, Agriculture, and Health Sciences) were sampled purposively. Participants were also sampled purposively. These included the director of community engagement, one project coordinator, two academic staff members, and two final year undergraduate students who were taking part in community engagement or servicelearning- related activity at each sampled school at both universities. Data were captured through document analysis, semi-structured interviews with sampled participants, and silent observations. Content analysis was used to analyse data from documents. Data from semi-structured interviews and silent observations were analysed thematically. Findings from documents, semi-structured interviews and iv silent observations were used to make recommendations for developing a framework for conceptualising and managing the quality of service-learning at the two universities. The study revealed that service-learning is an unfamiliar concept at these two ruralbased universities. Advocacy of service-learning has never been done and no initiatives are made on the part of these universities to familiarise this concept. The study's findings also reflect that there is confusion among various role-players regarding the meaning of the concept service-learning. Participants showed that some prefer to use the concept community engagement rather than service-learning, while others view service-learning as synonymous to community engagement. The SMART conceptual framework was developed on the basis of the findings and recommendations of this study. This conceptual framework is SMART because it is S - socially relevant, M - manageable, A - adaptable, R - rural-based, and T - transformative. The proposed SMART conceptual framework is intended to guide institutional leaders, directors of community engagement, deans of faculties, directors of schools, heads of departments, project coordinators, academic staff members, students, traditional leaders, and community partners in conceptualising, implementing and managing the quality of service-learning endeavours at the two rural-based South African universities.
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Torrents, Barrena Jordina. "Deep learning -based segmentation methods for computer-assisted fetal surgery." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/668188.
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This thesis focuses on the development of deep learning-based image processing techniques for the detection and segmentation of fetal structures in magnetic resonance imaging (MRI) and 3D ultrasound (US) images of singleton and twin pregnancies. Special attention is laid on monochorionic twins affected by the twin-to-twin transfusion syndrome (TTTS). In this context, we propose the first TTTS fetal surgery planning and simulation platform. Different approaches are utilized to automatically segment the mother’s soft tissue, uterus, placenta, its peripheral blood vessels, and umbilical cord from multiple (axial, sagittal and coronal) MRI views or a super-resolution reconstruction. (Conditional) generative adversarial networks (GANs) are used for segmentation of fetal structures from (3D) US and the umbilical cord insertion is localized from color Doppler US. Finally, we present a comparative study of deep-learning approaches and Radiomics over the segmentation performance of several fetal and maternal anatomies in both MRI and 3D US.Aquesta tesi comprèn el desenvolupament de tècniques de processament d’imatge basades en aprenentatge profund per a la detecció i segmentació d’estructures fetals en imatges de ressonància magnètica (RM) i ultrasò (US) tridimensional d’embarassos normals i de bessons. S’ha fet especial èmfasi en el cas de bessons monocoriònics afectats per la síndrome de transfusió feto fetal (STFF). En aquest context es proposa la primera plataforma de planificació i simulació quirúrgica orientada a STFF. S’han utilitzat diferents mètodes per segmentar automàticament el teixit de la mare, l’úter, la placenta, els seus vasos perifèrics i el cordó umbilical a partir de les diferents vistes en RM o a partir d’un volum en super-resolució. S’han utilitzat xarxes generatives antagòniques (condicionals) per a la segmentació d’estructures en imatges d’US tridimensionals i s’ha localitzat la inserció del cordó a partir d’US Doppler. Finalment, es presenta un estudi comparatiu de les metodologies d’aprenentatge profund i Radiomics.
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Eliasson, Karolina. "The Use of Case-Based Reasoning in a Human-Robot Dialog System." Licentiate thesis, Linköping : Department of Computer and Information Science, Linköpings universitet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6402.
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Simao, A. C. R. "A learning-enhancing, web-based public participation system for spatial planning : an application to the wind farm siting problem." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1446332/.
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Public participation in government is a hallmark of a democratic society. In the planning realm, public participation has come to define good planning and is seen as fundamental to achieving lasting and possible solutions. The effectiveness of public participation, however, is directly related to the volume and quality of available information and the support that citizens have in making sense of this information, both to develop positions and to make informed contributions. This thesis develops a learning-enhancing framework for public participation in spatial planning. Departing from the analysis of a classic theory of learning, Personal Construct Theory by George Kelly (1955), an innovative design for a spatial public participation system is proposed. This system integrates three elements: an information exploration element a Multi-criteria Spatial Decision Support System (MC-SDSS) and an Argumentation Map (AM). In concert, these elements make information available and address the two components of learning suggested by Kelly: the individual component (making sense of one's own experiences of the real world) and the social component (social interaction). A web-based system is developed and used to assess the adequacy of the proposed conceptual framework. The prototype system is applied to the pertinent and controversial spatial problem of onshore wind farm siting using a study area in the county of Norfolk, England. The prototype, called WePWEP (Web-based Participatory Wind Energy Planning), is tested in a quasi- naturalistic experiment. Test results evaluate the proposed framework favourably and highlight some aspects of the prototype that can be improved.
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Ari, Evrim Onur. "Fuzzy Actor-critic Learning Based Intelligent Controller For High-level Motion Control Of Serpentine Robots." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606777/index.pdf.
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In this thesis, an intelligent controller architecture for gait selection of a serpentine robot intended to be used in search and rescue tasks is designed, developed and simulated. The architecture is independent of the configuration of the robot and the robot is allowed to make different kind of movements, similar to grasping. Moreover, it is applicable to parallel processing in several aspects and it is an implementation of a controller network on robot segment network. In the architecture several behaviors are defined for each of the segments. Every behavior is realized in the form of Fuzzy Actor-Critic Learning agents based on fuzzy networks and reinforcement learning. Each segment controller determines the next suitable position in the sensory space acquired using ultrasound sensors, a genetic algorithm implementation then tries to find the change of the joint angles to achieve the desired movement in a given amount of time. This allows optimization on different criteria, during motion. Simulations are performed and presented to introduce the efficiency of the developed controller architecture. Moreover a simplified mathematical analysis is performed to gain insight of the controller dynamics.
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Crabtree, Peter John. "The optimisation of construction management higher education to promote professional competencies and professional capability." Thesis, Anglia Ruskin University, 2014. http://arro.anglia.ac.uk/332977/.
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Government and higher education see the employability of graduates as a priority. Anecdotal and empirical evidence from the researchers own fully accredited institution suggests there is little structure to the delivery of Personal Development Planning (PDP); it is not related to the world of work and of limited relevance to the learning that takes place. A critical review of published literature has revealed that an understanding of the links between PDP and work-based learning (WBL) could provide routes to improving professional membership. The thesis resolves this gap in knowledge enabling HE practitioners to enhance the development of skills and competencies. The research is mainly set in a positivistic paradigm with mixed methods research following a survey based methodological approach. Data collected through questionnaires, structured interviews and focus groups, are used to analyse the opinions and beliefs of staff and students in HE and experienced professionals working at the cutting edge of the construction industry. The work identifies the skills and competencies needed for academic study and employability, with PDP seen as an essential element of an academic course. Reflective practice is key to learning new knowledge and skills in the workplace and empirical investigation suggests experience plays a significant part in the learning process. All students should have an opportunity to see the application of theory with practice through WBL. The research has contributed to the body of knowledge by challenging the inadequacies in existing practice. The thesis identifies the key components and linkages in a theoretically informed model that proposes the use of a Graduate Skills Framework for Construction Management. This new-found understanding and toolkit promotes the teaching of employability skills alongside PDP in a structured programme of WBL. Research participants agree that this is expected to support the development of professional competencies and enhanced capability for the benefit of students, professionals and the construction industry.
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Hammami, Seif Eddine. "Dynamic network resources optimization based on machine learning and cellular data mining." Thesis, Evry, Institut national des télécommunications, 2018. http://www.theses.fr/2018TELE0015/document.
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Les traces réelles de réseaux cellulaires représentent une mine d’information utile pour améliorer les performances des réseaux. Des traces comme les CDRs (Call detail records) contiennent des informations horodatées sur toutes les interactions des utilisateurs avec le réseau sont exploitées dans cette thèse. Nous avons proposé des nouvelles approches dans l’étude et l’analyse des problématiques des réseaux de télécommunications, qui sont basé sur les traces réelles et des algorithmes d’apprentissage automatique. En effet, un outil global d’analyse de données, pour la classification automatique des stations de base, la prédiction de la charge de réseau et la gestion de la bande passante est proposé ainsi qu’un outil pour la détection automatique des anomalies de réseau. Ces outils ont été validés par des applications directes, et en utilisant différentes topologies de réseaux comme les réseaux WMN et les réseaux basés sur les drone-cells. Nous avons montré ainsi, qu’en utilisant des outils d’analyse de données avancés, il est possible d’optimiser dynamiquement les réseaux mobiles et améliorer la gestion de la bande passanteReal datasets of mobile network traces contain valuable information about the network resources usage. These traces may be used to enhance and optimize the network performances. A real dataset of CDR (Call Detail Records) traces, that include spatio-temporal information about mobile users’ activities, are analyzed and exploited in this thesis. Given their large size and the fact that these are real-world datasets, information extracted from these datasets have intensively been used in our work to develop new algorithms that aim to revolutionize the infrastructure management mechanisms and optimize the usage of resource. We propose, in this thesis, a framework for network profiles classification, load prediction and dynamic network planning based on machine learning tools. We also propose a framework for network anomaly detection. These frameworks are validated using different network topologies such as wireless mesh networks (WMN) and drone-cell based networks. We show that using advanced data mining techniques, our frameworks are able to help network operators to manage and optimize dynamically their networks
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Haas, Jacqueline C. "A case study of the actions taken by a school district in planning and implementing a strategy to establish school-based professional learning communities." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2879.
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Thesis (Ed. D.) -- University of Maryland, College Park, 2005.Thesis research directed by: Education Policy, and Leadership. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Dudeck, Barbara Jean. "Development of a life science curriculum for kindergarten and first grade reflecting the theories of multiple intelligence and brain-based learning." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/1897.
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Merrick, Bradley Maxwell School of Music & Music Education UNSW. "The relationship between self-efficacy and self-regulated behaviour within a secondary school music technology based creative learning environment." Awarded by:University of New South Wales. School of Music and Music Education, 2006. http://handle.unsw.edu.au/1959.4/25768.
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This study employed the theoretical framework of Albert Bandura???s social cognitive theory, to investigate how differing levels of self-efficacy impact on both the type and degree of self-regulatory behaviour employed by the students when composing music in a high school music program. The literature review revealed an abundance of related research suggesting a strong relationship between self-efficacy and self-regulated behaviour in the ???core??? academic domains of education. In contrast, there was no specific research found that had examined self-efficacy and self-regulation in the context of students composing music. An independent school in Sydney served as the research site, with sixty-eight students of varied year levels and musical experience participating in the study. Students used stand alone computers, the software ???Cubase??? and MIDI keyboards as they completed a task that involved creating an original piece of music in a genre of their own choice, over a series of four composition sessions. A mixed methodology was employed to determine if the influence of the students??? self-efficacy beliefs upon their self-regulation in a creative activity were consistent with existing research. Data were collected using a mixture of weekly measures and self-report scales, combined with a variety of questionnaires, logs, tally sheets and interviews. Eight variables, including the self-regulatory sub-processes of goal setting-strategic planning, intrinsic motivation, goal orientation, task expectation, time on task, task completion, monitoring were analysed together with an additional variable, defined as creative ability, to determine if evidence could be found of a relationship between self-efficacy and these specific behaviours while composing. The results suggest that the pre-task (Week 1) measure of self-efficacy was closely associated with the students??? use of the eight self-regulatory dimensions as well as their perceived level of creative ability. Weekly self-efficacy measures also suggested that students??? employ self-regulated sub-processes proportionally to their respective levels of self-efficacy. Importantly, the more efficacious students employed a wider and more sophisticated repertoire of self-regulated behaviour when composing in contrast to the less efficacious students. Self-efficacy was also identified as a key factor amongst students who were initially identified as being naive self-regulators, but who through the duration of the task, modified their behaviour to become more skilful self-regulators. Throughout the study, the consistent level of interaction between self-efficacy and the use of self-regulated behaviours were aligned with findings in the core ???academic??? disciplines of education.
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Wigley, Jonathan James. "Understanding workplace-based learning contexts to inform curriculum development : the case of a Level 5 Environmental Education, Training and Development Practice Qualification /." Thesis, Rhodes University, 2006. http://eprints.ru.ac.za/498/.
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Doste, Beltrán Rubén. "Computational models of the heart for planning and treatment of outflow tract ventricular arrhythmias." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/668034.
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The purpose of this thesis was to develop personalised cardiovascular therapy guided by multimodal noninvasive imaging and simulations, combined with artificial intelligence tools, for the management of the outflow tract ventricular arrhythmias. The main contributions of this thesis are twofold:
-We propose a pipeline to build heart computational models for simulation of ventricular tachycardia that incorporates a new specific rule-base method for fiber generation, including the ventricular outflow tracts. The pipeline allows carrying out multiscale simulations, obtaining the patient ECG for different scenarios.
-We exploit the simulated data in two different ways. First, we analyse the patient's ECG preoperatively and compare it with the simulated ECGs to find the most probable site of origin of the tachycardia. In cases in which we do not have patient imaging data, we classify the patient ECG by machine learning techniques to predict the site of origin, using the simulated ECGs for training.El objetivo principal de esta tesis fue el desarrollo de una terapia cardiovascular personalizada guiada por información multimodal no invasiva y simulaciones, combinadas con herramientas de inteligencia artificial, para el manejo de taquicardias ventriculares idiopáticas originadas en los tractos de salida del ventrículo. Las principales contribuciones de esta tesis son dos: -Desarrollo de un método de creación de modelos computacionales del corazón con el fin de simular taquicardias ventriculares, que incluye un nuevo modelo específico para calcular la orientación de las fibras en los tractos de salida del corazón. Este método permite realizar simulaciones multiescala, obteniendo el ECG virtual de cada paciente para diferentes escenarios. -Tratamiento de los resultados de las simulaciones. Primero, los ECG reales de los pacientes fueron comparados con ECGs simulados para encontrar el sitio de origen más probable de la taquicardia. En los casos en los que no se disponía de datos de imagen del paciente, el ECG del paciente fue clasificado mediante técnicas de aprendizaje automático, entrenadas con los datos simulados, para predecir el sitio de origen.
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Elliott, Terri Anne. "A case study investigation into drama in education as an effective teaching methodology to support the goals of outcome based education." Thesis, Rhodes University, 2011. http://hdl.handle.net/10962/d1008306.
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The introduction of outcomes based education (OBE) in the form of Curriculum 2005 (C2005), the National Curriculum Statement (NCS) and the Revised National Curriculum Statement (RNCS) in post-apartheid South Africa resulted in a shift from a content-centred to a learner-centred view on education. This transition took place rapidly as the new government wanted to introduce a democratic education system after the divisive Bantu education system from Apartheid. However, after the changes were implemented, education in South Africa was theoretically outcomes based but practically many educators were still teaching in a content-centred manner. The research puts forward the proposal that drama-in-education (D-i-E) is a useful means by which to align the practical and theoretical goals of OBE within the context of South Africa's current RNCS. This hypothesis drives the main research question: "Can D-i-E be an effective teaching methodology to realise the goals of the RNCS and generate OBE learning environments in a South African high school?" D-i-E is a learner-centred teaching methodology and in practise it meets many of the goals and Critical Cross-Field Outcomes (CCFOs) of OBE. Some of these include the fact that learners can: • Practice problem-solving skills; • Engage with critical and creative thinking; • Grow cultural and aesthetic sensitivity; • Work effectively in groups; and ii. • Learn in inclusive environments that cater for different learning styles and levels. The research examines the use of D-i-E as an outcomes based methodology by which the RNCS could be implemented in the classroom. This is explored through the use of qualitative research in the form of a case study investigation at a South African high school. The case study was conducted with Grade 11 and Grade 12 Dramatic Arts learners and involves an analysis of a D-i-E approach to learning. The conclusion that D-i-E is an effective outcomes based teaching methodology which could assist educators in realising the RNCS was largely reached through participant observation of D-i-E classes and by analysing the learners' journals in which they reflected on D-i-E experiences. The learners' feedback about the experience was generally positive and they reflected that they found D-i-E beneficial because of the fact that it engaged them experientially. They also reflected that D-i-E provided them with a more meaningful and exciting way of learning. These findings are however only generalisable to the type of context (Dramatic Arts learners from a well-resourced girls' high school) in which the research was conducted. The findings provide detailed insight into a specific case study and may be beneficial to educators in South Africa who aim to make use of the same or similar methodologies in their classroom practice. D-i-E also supports many of the underlying tenants of OBE such as learner-centredness, learner diversity and inclusive learning, and can effectively aid educators in implementing the RNCS in an outcomes based way.
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Meurer, Heli. "Ferramenta de gerenciamento e recomendação como recurso na aprendizagem baseada em projeto em design." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/115721.
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A presente tese tem por objetivo investigar como a utilização de um sistema de gerenciamento de projetos e de recomendação de conteúdo, configurado de acordo com o conceito de ABP, pode apoiar os alunos no processo de investigação e de planejamento de projetos. Para isso, realizou-se um estudo sobre as características estruturais e didáticas da aprendizagem baseada em projetos. Verificou-se de que maneira as tecnologias da informação e comunicação apoiam a ABP e como recomendações de conteúdos influenciaram os alunos em suas investigações. Após a realização do levantamento bibliográfico, a metodologia projetual, denominada ‘Projeto E’ foi configurada como modelo ABP. Com base neste, desenvolveu-se um sistema de gerenciamento e planejamento de projetos acadêmicos com dispositivo de recomendação de conteúdos. Em seguida, realizou-se um experimento prático com o uso do sistema para verificar as contribuições do mesmo no processo de ensino de projetos. Para obtenção dos dados, foram aplicados questionários aos alunos participantes, realizadas entrevistas aos professores orientadores, observados os relatórios de projeto e averiguada a frequência de registro de eventos no sistema. A análise e avaliação dos dados foi dividida em oito aspectos considerados importantes para a realização das investigações e planejamento em ABP, a saber: autonomia, discussão, reflexão, colaboração, organização, projetação, apresentação e avaliação. Observou-se que o sistema influenciou positivamente nos seguintes aspectos: livre a organização das equipes, na gestão do tempo, no planejamento projetual, no trabalho a distância, na integração e sincronia dos alunos entre si e com os professores, na compreensão das estruturas metodológicos e no uso de métodos apropriados, nas investigações contextualizadas, na documentação do processo, na discussão e na colaboração entre as equipes, na comparação, revisão e avaliação dos projetos e na equalização da qualidade dos projetos.This thesis aims to investigate how the use of a project management and content recommendation system, configured in accordance the concept of PBL, can support students in research and project planning process. Therefore, was performed a study on the structural and educational characteristics of project-based learning. Here was also checked how the information and communication technologies support the PBL and how recommendations and content influenced students in their investigations. After the completion of literature survey, the projetual methodology, called Projeto E, was configured as a PBL model and, based on this, was developed a managing and planning projects system for academic content with a recommendation device. Then, a practical experiment is conducted using the system to check out the contributions of them in teaching projects. To obtain the data, questionnaires were administered to participating students, interviews were conducted with teachers, observed the project reports, and ascertained the frequency of the system event log. The analysis and evaluation of data was divided into eight aspects considered important for the investigations and planning in PBL, namely: autonomy, discussion, reflection, collaboration, organization, design, presentation and evaluation. There was observed that the system had a positive effect on the following aspects: easy organization of the teams, time management, in projetual planning, in teleworking, in integration and synchronization among students and teachers, in the comprehension of the methodological structures and the appropriate use of methods, in the research contextualized, in the documentation process, in the discussion and collaboration among teams, in comparison, review and evaluation of projects and in the quality equalizing of the projects.
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Jung, Hyunil. "The Development of a Community-Based Art Education Curriculum for a Korean School in the United States: a Case Study." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1217340266.
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Morales, Aguirre Marco Antonio. "Metrics for sampling-based motion planning." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-2462.
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Mostert, Markus. "Information communication technologies to enhance teaching and learning in higher education a survey of teaching staff at Rhodes University /." Diss., Pretoria : [s.n.], 2000. http://upetd.up.ac.za/thesis/available/etd-11242009-161047.
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Cakmak, Maya. "Robot Planning Based On Learned Affordances." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608551/index.pdf.
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This thesis studies how an autonomous robot can learn affordances from its interactions with the environment and use these affordances in planning. It is based on a new formalization of the concept which proposes that affordances are relations that pertain to the interactions of an agent with its environment. The robot interacts with environments containing different objects by executing its atomic actions and learns the different effects it can create, as well as the invariants of the environments that afford creating that effect with a certain action. This provides the robot with the ability to predict the consequences of its future interactions and to deliberatively plan action sequences to achieve a goal. The study shows that the concept of affordances provides a common framework for studying reactive control, deliberation and adaptation in autonomous robots. It also provides solutions to the major problems in robot planning, by grounding the planning operators in the low-level interactions of the robot.
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Williams, Jeni Kimberly. "Inquiry learning in the earth science classroom." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2641.
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Pedro, Edilson da Silva. "Gestão tecnológica: um estodo de caso no setor sucroalcooleiro." Universidade Federal de São Carlos, 2003. https://repositorio.ufscar.br/handle/ufscar/3531.
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Previous issue date: 2003-12-10The opening of Brazilian economy made the sugar and alcohol industries undertake the reorganization process of their productive structures aiming to increase their competency in product differentiation and in productive and market diversification in order to face the incitement of competition. Considering this scenario, the purpose of the dissertation is to analyze technological qualification in the company and to suggest policies for the construction of a model of technological management in order to reinforce the company so that it becomes able to face the competition and the setorial markets. The contributions of this chapter are: 1) identification of the strategic resources for technological qualification; 2) survey of decision making processes for technological acquisition and learning; and 3) evaluation of practices and management means and, therefore, indication of a reference model for technological management of the company. To structure this work, a research model was elaborated taking into account the revision of literature regarding the competitiveness of Brazilian agroindustry as well as theoretical approaches of technological qualification and management of companies. The method used on the field research was an exploratory and qualitative one based on the study of only one case. It is emphasized that the research model is presented as a contribution acquired from the dissertation and that it can be used for investigations in the future. The results of this work constitute a contribution for the determination of conditions for dynamical efficiency of the agroindustry. The conclusion is that the sugar and alcohol company studied should formalize a process for definition of its technological strategy aiming the industrial market, as well as to maintain a structure for technological management. For this, it is proposed a model of qualification and technological management, considering the technological resources of the company and its position on the productive and supply chains in which it is inserted. It is believed that the case study of the problem in one company can be used as reference by other agroindustrial companies and by new researches on this theme.
A abertura da economia brasileira levou as empresas agroindustriais sucroalcooleiras a empreenderem processo de reorganização de suas estruturas produtivas para aumentar suas competências em diferenciação de produto, diversificação produtiva e mercadológica para enfrentar o acirramento da concorrência. Neste cenário, estabeleceu-se como objetivo desta dissertação a análise da capacitação tecnológica na firma e proposição de diretrizes para construção de modelo para gestão tecnológica, de modo a fortalecer a empresa frente à concorrência e os mercados setoriais. As contribuições deste estudo constituem em: 1) identificação de recursos estratégicos para capacitação tecnológica; 2) levantamento de processos de tomada de decisão para aquisição e aprendizagem tecnológica; e 3) avaliação das práticas e formas de gestão e, então, indicação de um modelo de referência para gestão tecnológica da firma. Para estruturar este trabalho, foi elaborado um modelo de pesquisa a partir da revisão da literatura de competitividade da agroindústria brasileira e das abordagens teóricas de capacitação e gestão tecnológica das firmas. O método utilizado na pesquisa de campo foi o exploratório e qualitativo com estudo de caso único. Ressalta-se que o modelo da pesquisa é apresentado como uma contribuição da dissertação e poderá servir a futuras investigações. Os resultados deste trabalho constituem uma contribuição para determinação de condições para eficiência dinâmica da agroindústria. Concluiu-se que a empresa sucroalcooleira estudada deve formalizar um processo para definição de sua estratégia tecnológica, direcionado aos mercados industriais, assim como, manter uma estrutura para gestão tecnológica. Para isso é proposto um modelo de capacitação e de gestão tecnológica, com visão dos recursos tecnológicos da firma, considerando seu posicionamento nas cadeias produtivas e de suprimento em que está inserida. Espera-se que o estudo de caso do problema em uma empresa possa servir como referência a outras empresas agroindustriais e a novas pesquisas sobre o tema.
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Edwards, Chester Roy. "Designing Innovative Alternatives to Traditional High Schools: What Leaders Need to Know." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/1036.
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The need for new and innovative alternatives to traditional high schools has never been greater. Never designed to graduate all students on time, traditional high schools and their high dropout rates have remained unchanged for the last 30 years. Improving secondary schooling for all young people is a worthwhile social and educational objective. Many school leaders want to create alternative high schools but may lack the knowledge of what to do, nor may they have a comprehensive design process to follow.
The research question explored in this dissertation is: What do leaders in education need to know to design innovative alternatives to traditional high schools?
This dissertation studied four aspects or assumptions that school leaders should understand when designing alternatives to traditional high schools: (a) consider all of the elements of successful alternative high schools, (b) start over conceptually when designing a new alternative high school, (c) use regional accreditation standards as a framework for design, and (d) begin design with the end in mind for program evaluation. Research literature topics of alternative education, organizational leadership, school accreditation standards, and program evaluation were reviewed.
The research conducted was theoretically and practically grounded in Bridges and Hallinger's (1995) Problem-Based Learning (PBL) and Borg and Gall's (1989) Research and Development (R&D) Cycle. The product of the research conducted in the R&D cycle was a process for designing alternative high schools. Qualitative and quantitative data collected from school leaders and designers during field tests was analyzed to improve a prototype of an alternative high school design process. An effective process that is ready for dissemination was the result of this research. A larger implication of the application of this process will be the improvement of high school experiences for all students through the creation of new designs for innovative forms of secondary schooling.
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Hylton, LeQuan M. "PERCEPTIONS OF THE HOMELESS TOWARD NONPROFIT HUMAN SERVICE PROVIDER." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4280.
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As the debate intensifies regarding developing remedies to meet the needs of America’s homeless, one solution is for governmental agencies to collaborate with and employ organizations from the nonprofit sector to assist with the needs of the homeless population. Included in the nonprofit sector, faith-based organizations (FBOs) have historically been a source of debate and contention in terms of collaborations with the government. However, Presidents Reagan, George H. Bush, Clinton, George W. Bush, and Obama have embraced the idea of including FBOs in the pool of service providers offering human services. In the Richmond, Virginia region, FBOs and nonreligious nonprofit organizations provide a range of
human services to a substantial population of homeless clients. Yet, whether the homeless population prefers services offered by FBOs versus nonreligious nonprofits in general and for specific categories of service is unknown. These specific categories of service include alcohol treatment and recovery, counseling, drug treatment and recovery, food pantries, health care, job training and placement, short-term and long-term shelter, and meal sites. In addition, this study seeks to identify models using variables from this study that predict the preference for each category of service. Since homeless clients overall and specific human service preferences are an unknown, the importance of this study is to inform policymakers, those in the nonprofit sector, researchers, and other interested parties of these preferences. A study of this nature is also important to compare policy implementation to the preferences of the homeless to ensure the implementation accounts for principles of social equity. In addition, a study of this nature seeks to fill a literature gap by examining and understanding the intersections of demographic characteristics and preferences. Using the cohort and the rational choice theories, this study examines the preferences of homeless individuals for particular types of service providers.
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DeLeon, Adam James. "A curriculum of non-routine problems in the middle school." CSUSB ScholarWorks, 2004. https://scholarworks.lib.csusb.edu/etd-project/2592.
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This project is a study to determine if a group of middle school students can improve their problem solving ability by means of curriculum of nonroutine problems that was presented over a six month period.
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Kužela, Martin. "Inteligentní bojové jednotky." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-236002.
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The field training of army units includes high financial, material and human resource investments. From this reason, an emphasis on the simulator training of these units arised recently. But the training in simulator needs to have the simulated units as intelligent as a human beings are, so the field training with real human opponents can be successfully replaced with the simulator training. This work deals with the design of fighting unit's intelligent behaviour, that will be applicable in the E-COM simulator environment. Work covers the description of intelligent agents and ways how to achieve their rational and autonomous behaviour. The proposal and the analysis of intelligent fighting unit's implementation and unit's communication with surrounding environment, basic implementation of this proposal and experiments with created implementation are also described in this work.
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Lai, Chun. "An exploration into factors that affect student perception of their online foreign language learning experience." Diss., Connect to online resource - MSU authorized users, 2006.
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Thesis (Ph. D.)--Michigan State University. Dept. of Counseling, Educational Psychology and Special Education, 2006.Title from PDF t.p. (viewed on Nov. 20, 2008) Includes bibliographical references (p. 125-131). Also issued in print.
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Heidaripak, Samrend. "PREDICTION OF PUBLIC BUS TRANSPORTATION PLANNING BASED ON PASSENGER COUNT AND TRAFFIC CONDITIONS." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-53408.
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Artificial intelligence has become a hot topic in the past couple of years because of its potential of solving problems. The most used subset of artificial intelligence today is machine learning, which is essentially the way a machine can learn to do tasks without getting any explicit instructions. A problem that has historically been solved by common knowledge and experience is the planning of bus transportation, which has been prone to mistakes. This thesis investigates how to extract the key features of a raw dataset and if a couple of machine learning algorithms can be applied to predict and plan the public bus transportation, while also considering the weather conditions. By using a pre-processing method to extract the features before creating and evaluating an k-nearest neighbors model as well as an artificial neural network model, predicting the passenger count on a given route could help planning of the bus transportation. The outcome of the thesis was that the feature extraction was successful, and both models could successfully predict the passenger count based on normal conditions. However, in extreme conditions such as the pandemic during 2020, the models could not be proven to successfully predict the passenger count nor being used to plan the bus transportation.
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Ferguson, Deborah Marie. "A guide to a brain-based approach to thematic, interdisciplinary teaching." CSUSB ScholarWorks, 2001. https://scholarworks.lib.csusb.edu/etd-project/1877.
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This project promotes an interdisciplinary approach to classroom instruction as an alternative to sequential instruction typically practiced in public schools. Specifically targeted are thematic, interdisciplinary teaching strategies.
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Mdlungu, Nozuko Gloria. "An investigation of how environmental learning and teaching support materials (LTSM) can influence team planning and teaching and learning activities in the Foundation Phase." Thesis, Rhodes University, 2007. http://hdl.handle.net/10962/d1003512.
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South Africa has experienced significant curriculum transformation over the past ten years. Environment was introduced into C2005 as a phase organiser. Following the streamlining and strengthening of the curriculum, the National Curriculum Statement (NCS) has a more explicit environmental focus in all of the Learning Areas. This has created opportunities for teachers to address environmental health issues in a community context. I work in a rural school and the community around the school experience a number of environmental health issues. In my previous observations I noticed that teachers were not using Learning Teaching Support Materials (LTSM) effectively. In this study I wanted to investigate how LTSM can be used to address environmental health issues in the Foundation Phase. As Life Orientation Learning Outcome1 is a ‘backbone’ of the Life Skills Learning Programme in the Foundation Phase, I decided to focus on this Learning Outcome as it is the Health Promotion outcome in the NCS (R-9). It was my interest to investigate how LTSM are used in team planning and how this planning influences the use of LTSM in classrooms. In the research I observed the link between the activities and LTSM that were discussed in the planning session and those that were done in the classroom. To do this I documented the planning workshop, and I also observed three lessons undertaken in two classrooms, a grade 2 and a grade 3 classroom in my school, where I serve as a principal. I conducted this research as an interpretive case study, and I used workshop, interviews, focus group interviews and classroom observation as methods in the study. The study found that LTSM used in planning influences activities done in the classroom. It also found that use of LTSM helps to achieve the Learning Outcomes and Assessment Standards, and to improve the participation of learners in the learning process. Use of LTSM in planning also improves teachers’ Learning Area knowledge and their knowledge of curriculum development issues. Planning sessions also assisted teachers to address problems such as language used in LTSM and availability of LTSM. The study also found that teachers did not address formal assessment in the planning or in the way they used LTSM. The study concluded that use of LTSM in planning can strengthen classroom practice, and recommendations were made to take this work forward in the context of our school, as it addresses the gap between policy and practice.
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Van, Schalkwyk Susan C. "Generic learning outcomes in a technikon diploma programme : a critical analysis." Thesis, Stellenbosch : Stellenbosch University, 2002. http://hdl.handle.net/10019.1/52861.
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Thesis (MPhil)--University of Stellenbosch, 2002.ENGLISH ABSTRACT: In 1997, the South African Qualifications Authority (SAQA) published its guidelines 'to provide for the development and implementation of a National Qualifications Framework (NQF)' (Government Gazette 1997:35). This framework was to pave the way for compelling transformation in the education sector. One of the key features of the framework would be a directive that a series of competencies, or generic skills, that SAQA termed its 'critical cross-field outcomes' would have to be incorporated into the design of all programmes of learning. The publication of the guidelines sparked considerable debate; a debate that, in the five years since 1997, does not appear to have been resolved. As higher education institutions prepare for the 2003 submission of programmes to SAQA for registration, the importance of swift and meaningful intervention is self-evident. This report gives an account of a study undertaken to allow for the critical analysis of generic learning outcomes, or specifically SAQA's critical outcomes, as they present themselves in a technikon diploma programme. While the initial impetus in terms of the skills debate may appear to have arisen as a result of national imperatives, the overview of the literature pointed to international precedents, particularly when the issue of generic skills was contextualised against the background of the changing higher education landscape. Thus empirical research was conducted at the Cape Technikon using the National Diploma in Human Resources Management, its academic staff and its second-year student group, as its focus. The qualitative data, generated via multiple techniques including document analysis, interviewing, and a survey, provided a wealth of information and in-depth insight into the perceptions and attitudes of the respondents. The researcher endeavoured to maintain a practical focus throughout the study and sought to interpret and critique existing practice against best practice as described in the literature. The findings highlighted numerous issues relating to the integration of generic learning outcomes into programmes of learning. Key among these were the apparent lack of clarity and guidance among students and staff about the meaning of, and envisaged role for, the generic learning or critical outcomes; the fact that many in the technikon sector are already employing those teaching and learning strategies that are deemed appropriate when following an outcomes-based approach; that the changing student profile has had a direct impact on what happens in the classroom; and that assessment systems and practices appear to be the main barriers to the effective development of generic skills. In response, this study recommends that a structured, holistic, process approach be implemented at those institutions that are serious about integrating SAQA's critical outcomes into their programmes of learning. While such an approach would require institutional support and guidance, as well as an overall commitment to staff development, it is the contention of the researcher that the technikon sector, by virtue of its career-oriented focus and the design of its programmes, is ideally positioned to embrace the SAQA challenge successfully.
AFRIKAANSE OPSOMMING: Die Suid-Afrikaanse Kwalifikasieowerheid (SAKO) het in 1997 riglyne gepubliseer wat voorsiening maak vir die ontwikkeling en implementering van 'n Nasionale Kwalifikasieraamwerk (NKR). Hierdie raamwerk sou die weg baan vir ingrypende veranderinge in die onderwys. Een van die sleuteleienskappe van hierdie raamwerk was die opdrag dat 'n reeks bevoegdhede, of generiese vaardighede, wat deur SAKO as sy 'kritiese uitkomstes' beskryf is, in die opstel van alle leerprogramme ingesluit moes word. Die publikasie van die riglyne het 'n aansienlike debat ontketen; 'n debat wat in die vyf jaar sedert 1997 oënskynlik nog nie tot 'n einde gekom het nie. Aangesien hoëronderwysinstellings hul voorleggings vir 2003 aan SAKO vir registrasie nou reeds begin voorberei, is die noodsaaklikheid van 'n vinnige en betekenisvolle besluit hieroor voor die hand liggend. Hierdie verslag gee 'n uiteensetting van navorsing wat gedoen is om 'n kritiese analise van generiese leeruitkomstes, of spesifiek die kritiese uitkomstes van SAKO, soos toegepas in die diplomaprogram van 'n tegnikon, te beskryf. Alhoewel dit aanvanklik mag gelyk het asof die debat oor vaardighede sy ontstaan aan 'n nasionale opdrag te danke gehad het, het 'n oorsig van die literatuur daarop gedui dat internasionale presedente ook daartoe aanleiding gegee het, veral in gevalle waar vrae betreffende die generiese leeruitkomstes teen die agtergrond van 'n veranderende hoëronderwyslandskap beskou is. Empiriese navorsing is aan die Kaapse Tegnikon onderneem met die Nasionale Diploma in Menslike Hulpbronnebestuur, sy akademiese personeel en tweedejaarstudente, as fokuspunt. Kwalitatiewe data is deur die gebruik van verskeie tegnieke gegenereer wat dokumentêre analise, onderhoudvoering en 'n vraelysopname insluit. Hierdie data het 'n bron van inligting oor, en insae, tot, die persepsies en houdings van die respondente verskaf. Die navorser het deurgaans gepoog om 'n praktiese fokus tydens die studie te behou en om die huidige praktyk te interpreteer en te beoordeel teenoor dit wat as suksesvol in die literatuur bestempel is. Die bevindinge het verskeie aspekte ten opsigte van die insluiting van generiese leeruitkomstes binne leerprogramme na vore gebring. Van die belangrikste aspekte is die klaarblyklike gebrek aan duidelikheid en leiding, onder sowel studente as akademiese personeel, oor die betekenis van, en beoogde rol vir die kritiese of generiese leeruitkomstes; die feit dat vele akademici in die tegnikonsektor reeds gebruik maak van die onderrig- en leerstrategieë wat as toepaslik vir uitkomsgebaseerde onderrig beskou word; dat die veranderende studenteprofiel 'n direkte impak gehad het op dit wat in die klaskamer gebeur; en dat assesseringspraktyke en -metodes tans die grootste remskoen in die effektiewe ontwikkeling van generiese vaardighede blyk te wees. In antwoord hierop beveel hierdie studie die implementering van 'n gestruktureerde, holistiese, prosesbenadering by die instellings aan wat erns maak met die insluiting van SAKO se kritiese uitkomstes in hul leerprogramme. Alhoewel so 'n benadering ondersteuning en leiding van die instellings, asook 'n algemene verbintenis tot personeelontwikkeling, sal vereis, is dit die navorser se oortuiging dat die tegnikonsektor, as gevolg van sy loopbaangerigte fokus en die inhoud van sy programme, ideaal geposisioneer is om die SAKO-uitdaging suksesvol die hoof te bied.
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Bekenstein, Jenny. "Campaigning on an Environmental Justice Platform: Irmalinda Osuna for Upland City Council, District 3." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/pitzer_theses/97.
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After successfully organizing around preserving Cabrillo Park in Upland and feeling a lack of local political representation, Irmalinda Osuna ran for Upland City Council in the 2018 midterm elections. As one of the many female candidates in the 2018 elections, Irmalinda led a grassroots, community-led political campaign in which she advocated for environmental justice and the preservation of parks, a more inclusive community, increased civic participation, a more efficient use of technology in politics, and support for small businesses.
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Kim, Sojung. "Dynamic Learning and Human Interactions under the Extended Belief-Desire-Intention Framework for Transportation Systems." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/578837.
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In recent years, multi-agent traffic simulation has been widely used to accurately evaluate the performance of a road network considering individual and dynamic movements of vehicles under a virtual roadway environment. Given initial traffic demands and road conditions, the simulation is executed with multiple iterations and provides users with converged roadway conditions for the performance evaluation. For an accurate traffic simulation model, the driver's learning behavior is one of the major components to be concerned, as it affects road conditions (e.g., traffic flows) at each iteration as well as performance (e.g., accuracy and computational efficiency) of the traffic simulation. The goal of this study is to propose a realistic learning behavior model of drivers concerning their uncertain perception and interactions with other drivers. The proposed learning model is based on the Extended Belief-Desire-Intention (E-BDI) framework and two major decisions arising in the field of transportation (i.e., route planning and decision-making at an intersection). More specifically, the learning behavior is modeled via a dynamic evolution of a Bayesian network (BN) structure. The proposed dynamic learning approach considers three underlying assumptions: 1) the limited memory of a driver, 2) learning with incomplete observations on the road conditions, and 3) non-stationary road conditions. Thus, the dynamic learning approach allows driver agents to understand real-time road conditions and estimate future road conditions based on their past knowledge. In addition, interaction behaviors are also incorporated in the E-BDI framework to address influences of interactions on the driver's learning behavior. In this dissertation work, five major human interactions adopted from a social science literature are considered: 1) accommodation, 2) collaboration, 3) compromise, 4) avoidance, and 5) competition. The first three interaction types help to mimic information exchange behaviors between drivers (e.g., finding a route using a navigation system) while the last two interaction types are relevant with behaviors involving non-information exchange behaviors (e.g., finding a route based on a driver's own experiences). To calibrate the proposed learning behavior model and evaluate its performance in terms of inference accuracy and computational efficiency, drivers' decision data at intersections are collected via a human-in-the-loop experiment involving a driving simulator. Moreover, the proposed model is used to test and demonstrate the impact of five interactions on drivers' learning behavior under an en route planning scenario with real traffic data of Albany, New York, and Phoenix, Arizona. In this dissertation work, two major traffic simulation platforms, AnyLogic® and DynusT®, are used for the demonstration purposes. The experimental results reveal that the proposed model is effective in modeling realistic learning behaviors of drivers in conduction with interactions with other drivers.
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Mbambisa, Nomaledi Peggy. "Strategies used by subject advisors and facilitators to support lesson planning with an environmental learning focus : a case study of the Eastern Cape Neep-Get cluster." Thesis, Rhodes University, 2005. http://hdl.handle.net/10962/d1007586.
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Over the past ten years, South Africa has undergone substantial changes, following the advent of democracy. Key amongst these changes being the transformation of educational policy. These policy changes have introduced new structural frameworks within which we operate (including myself as a subject advisor) and new roles for educators. These policy changes affect all the levels of the education system, and have an impact at school level, where teachers are now responsible for learning programme development (including a focus on lesson planning). Lesson planning in an outcomes-based education framework is a challenging aspect of policy implementation. South Africa is faced with the challenges associated with policy change and implementation. The role of the subject advisors and facilitators who support the teachers to make sense of the curriculum is crucial, as they provide the interface between policy and practice. They are the people who work most with teachers, and have a responsibility for curriculum implementation. This study aimed to explore the strategies which are used by subject advisors and facilitators to support teachers develop lesson plans with an environmental learning focus. A qualitative case study was conducted in which I looked at how the support processes were provided by the subject advisors and facilitators in the Eastern Cape in particular the NEEP-GET cluster in the Makana district. The study employed a range of data producing techniques such as questionnaires, interviews, document analysis and observation. The data was analysed to report the findings. The research indicates that some strategies are used to provide curriculum and pedagogical support and guidance, but that these are superficially treated and others have not been attempted at all. This therefore shows that further growth in this area is possible amongst the subject advisors. Recommendations relevant to both the subject advisors and the Department of Education so as to enhance the support processes and professional development of subject advisors have been made.
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Tsai, Han-Hsien, and 蔡瀚賢. "6-DOF Manipulator Path Planning Based on Reinforcement Learning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/bx72t5.
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碩士國立彰化師範大學
機電工程學系
107
The purpose of this paper is to develop a robotic autonomous learning system based on virtual modeling and reinforcement learning. Its main function is given by the mechanical arm model, the environmental obstacle, the initial coordinate of the robot arm and the target point, and then the system will be automatically generated a set of motion corners to enable the robot to smoothly avoid the obstacle and reach the target. The program development in this article will be divided into two parts. The first part includes arm simulation and collision detection. Firstly, the VTK visualization tool library is utilized, and the six-axis robotic arm files and obstacles are imported, and then the motion of the robot arm and the surrounding environment are visualized. Finally, it is judged whether or not the collision is caused by the directional bounding box algorithm. The second part includes the machine learning for the path planning. The DDPG model is established through Tensorflow package. Next, the reinforcement learning is used to interact with the environmental variables. The different reward functions are designed to test and discuss. Finally, the feasibility is verified by the actual machine operation. This experiment finally proves the feasibility of reinforcement learning applied to the path planning of the robot arm. Through this method, the robot arm can be autonomously planned, and the target point is within 10 mm of the error.
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Ferreira, Pedro Filipe Soares. "Deep Reinforcement Learning for Condition Based Monitoring in Aircraft Planning." Master's thesis, 2019. http://hdl.handle.net/10316/88031.
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Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e TecnologiaAtualmente, as manutenções na aviação são maioritariamente pré-programadas ou reactivas. Estas técnicas podem levar a manutenção excessiva, mais tempo e recursos gastos, menor disponibilidade de aeronaves e despesas altas. Real-time Condition-based Maintenance for Adaptive Aircraft Maintenance Planning (ReMAP) pretende solucionar este problema, para isso introduzindo uma proposta que procura, fazendo uso de sensores e algoritmos de última geração, aplicar condition-based maintenance (CBM) em aeronaves comerciais, possibilitando a integração da monitorização em tempo real dos sistemas de aeronaves com um agente reinforcement learning (RL) de tomada de decisões, capaz de formular um plano de manutenções ótimo. A proposta integra várias work packages (WPs), cada uma delas com um papel diferente no projeto: desde a extração de dados dos sistemas das aeronaves à definição de um plano de manutenção para uma frota inteira. Este estágio foi embutido na WP responsável pelo desenvolvimento da MDST, encarregue de planear e atribuir tarefas de manutenção para uma frota de aviões. A versão final desta ferramenta irá receber informação de cada manutenção periódica de cada aeronave juntamente com pedidos de manutenção inesperados que possam surgir dos prognósticos de saúde das aeronaves. O intuito será distribuir essas tarefas por um prazo pré-definido de maneira a criar um calendário de manutenções praticável. Todavia, inicialmente, como prova de conceito, a MDST irá criar um planeamento que apenas inclua manutenções periódicas. Portanto, o objetivo do estágio foi usar RL de maneira a calendarizar trabalhos de manutenção de uma frota com 51 aviões para o prazo de 6 anos. Os nossos resultados demonstram que o algoritmo de RL converge rapidamente e tem um melhor desempenho do que uma solução gananciosa.
Currently, maintenance in aviation is mostly pre-scheduled or done reactively. These techniques may prompt to over-maintenance, more time and resources spent, less aircraft availability and high expenses. Real-time Condition-based Maintenance for Adaptive Aircraft Maintenance Planning (ReMAP) intends to solve this issue by introducing a proposal that seeks, by using sensors and state-of-the-art algorithms, to apply condition-based maintenance (CBM) in commercial aircraft, allowing real-time health monitoring of the aircraft’s systems to be integrated with a decision making reinforcement learning (RL) agent to formulate an optimal maintenance scheduling plan. The proposal integrates different work packages (WPs), each of them with a different role in the project: from collecting data from the aircraft’s systems to defining a maintenance plan for a whole fleet. This internship was embedded in the WP responsible for the development of the maintenance decision support tool (MDST), in charge of planning and assigning maintenance tasks for a fleet of aircraft. The final version of the tool is envisioned to receive information about each aircraft’s periodical maintenance checks plus any unexpected maintenance needs that might arise from the aircraft’s health prognostics. These maintenance tasks will be assigned to time-frames in order to create a feasible maintenance schedule. Nevertheless, as an introductory concept proof, the MDST must organize a maintenance schedule for periodic tasks, only. Accordingly, the internship’s goal was to use RL to assign periodical maintenance checks for a fleet of 51 aircraft over 6 years. Our results show that the RL algorithm converges quickly and performs significantly better than a greedy solution.
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Liu, Tzu-yu, and 劉子瑜. "Supplier Assessment and Learning Resource Planning based on Carbon Emissions Capability." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/69725456225038768281.
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碩士逢甲大學
工業工程與系統管理學系
102
The threat of global warming, the world&;#39;s major countries are burdened with the pressure of reducing greenhouse gas emissions. Carbon reduction has become one of the most important international environmental issues. The enterprises even should take the initiative to track and manage the information of the carbon emissions of its suppliers. In the future domestic manufacturers will not be able to evade the pressure to expose carbon emissions information. For businesses that rely on the international market, it is imperative to reduce or limit the responsibility of the carbon emissions. Not only to protect the earth make a contribution, but also enhance the sustainable competitiveness of the enterprises to achieve sustainable management. Taiwan enterprises have begun to pay attention to international requirements to expose the pressure of the carbon emissions information, based on the development of precision machinery industry is an important indicator to measure a country&;#39;s technology and research and development capabilities, the study of the industry as a case study. The research will focus on how to upgrade carbon emissions capability of supply chain by the supplier assessment mechanism. The index of carbon emission capability will be embedded in the Balanced Scorecard (BSC) to formulate the supplier assessment mechanism. And utilizes Data Envelopment Analysis (DEA) to estimate performance between organize and establish benchmarking target, and find out items needed to improve. The multiobjective benchmarking can let each unit learn from other’s advantage. And considering under the limited resources of enterprises situation, utilizes the learning resource planning and allocation, hopes to establish long-term on the partnership, joint enhance the ability of carbon emissions.
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Yi, Xianyong. "Imitation Learning based on Generative Adversarial Networks for Robot Path Planning." Thesis, 2020. http://hdl.handle.net/10754/666096.
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Robot path planning and dynamic obstacle avoidance are defined as a problem that robots plan a feasible path from a given starting point to a destination point in a nonlinear dynamic environment, and safely bypass dynamic obstacles to the destination with minimal deviation from the trajectory. Path planning is a typical sequential decision-making problem. Dynamic local observable environment requires real-time and adaptive decision-making systems. It is an innovation for the robot to learn the policy directly from demonstration trajectories to adapt to similar state spaces that may appear in the future. We aim to develop a method for directly learning navigation behavior from demonstration trajectories without defining the environment and attention models, by using the concepts of Generative Adversarial Imitation Learning (GAIL) and Sequence Generative Adversarial Network (SeqGAN). The proposed SeqGAIL model in this thesis allows the robot to reproduce the desired behavior in different situations. In which, an adversarial net is established, and the Feature Counts Errors reduction is utilized as the forcing objective for the Generator. The refinement measure is taken to solve the instability problem. In addition, we proposed to use the Rapidly-exploring Random Tree* (RRT*) with pre-trained weights to generate adequate demonstration trajectories in dynamic environment as the training data, and this idea can effectively overcome the difficulty of acquiring huge training data.