Relevant bibliographies by topics / Adaptive environment

Academic literature on the topic 'Adaptive environment'

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Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Adaptive environment"

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Specht, Marcus, and Reinhard Oppermann. "ACE - adaptive courseware environment." New Review of Hypermedia and Multimedia 4, no. 1 (January 1998): 141–61. http://dx.doi.org/10.1080/13614569808914699.

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Ewais, Ahmed, and Olga De Troyer. "Usability Evaluation of an Adaptive 3D Virtual Learning Environment." International Journal of Virtual and Personal Learning Environments 4, no. 1 (January 2013): 16–31. http://dx.doi.org/10.4018/jvple.2013010102.

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Using 3D virtual environments for educational purposes is becoming attractive because of their rich presentation and interaction capabilities. Furthermore, dynamically adapting the 3D virtual environment to the personal preferences, prior knowledge, skills and competence, learning goals, and the personal or (social) context in which the learning takes place becomes interesting, as there is a bulk of research demonstrating that individualized instruction is superior to the uniform approach of more traditional and one-size-fits-all teaching approaches. However, although such adaptive 3D Virtual Learning Environments (3D VLE) seem to be promising, this needs to be evaluated in practice. Usability of adaptive 3D VLE could be a problem since the user interface could become relatively complex. In this paper, the authors describe an experiment performed to validate the issues of usability and acceptability of an adaptive 3D VLE. This pilot evaluation reveals some important recommendations and improvements.
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Ewais, Ahmed, and Olga De Troyer. "Authoring Adaptive 3D Virtual Learning Environments." International Journal of Virtual and Personal Learning Environments 5, no. 1 (January 2014): 1–19. http://dx.doi.org/10.4018/ijvple.2014010101.

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The use of 3D and Virtual Reality is gaining interest in the context of academic discussions on E-learning technologies. However, the use of 3D for learning environments also has drawbacks. One way to overcome these drawbacks is by having an adaptive learning environment, i.e., an environment that dynamically adapts to the learner and the activities that he performs in the environment. In this paper, the authors discuss adaptive 3D virtual leaning environments and explain how a course author can specify such an environment (i.e., authoring). The approach and tool that the authors present allow authors to create adaptive 3D virtual learning environments without the need to be an expert in 3D or using programming or scripting languages. The authors also conducted an evaluation to validate the approach and the usability and acceptability of the authoring tool. Based on the results, recommendations for authoring adaptive 3D virtual learning environments have been formulated.
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Santoianni, Flavia, and Alessandro Ciasullo. "Adaptive Design for Educational Hypermedia Environments and Bio-Educational Adaptive Design for 3D Virtual Learning Environments." Research on Education and Media 10, no. 1 (June 1, 2018): 30–41. http://dx.doi.org/10.1515/rem-2018-0005.

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Abstract Adaptive learning environments design has been originally influenced by the adaptive learning environments model, which has been recently re-shaped by the bio-educational adaptive approach. Adaptive and bio-educational models share the common main idea that education should be adaptive. Since the 90’s the adoption of an adaptive educational point of view have been at the base of adaptive educational hypermedia systems, which design joins interest towards learners’ individual differences with adaptive learning environments research. Educational hypermedia systems have been overcome by the technology of 3D Virtual Learning Environments. Some emerging questions are related to the design criteria of adaptive learning environments. Which lessons learned from adaptive hypermedia systems design could be now applied to VLEs’ design? How a virtual learning environment should be designed to be adaptive? This research tries to answer to these questions by describing Federico 3DSU, an educational University 3D Virtual Learning Environment which has been designed with adaptive criteria, according to bio-educational model
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Yang, Eunjung, Iltak Han, Junho Song, Heeyoung Lee, and Dongjin Yeom. "Adaptive Sidelobe Blanker for Interference Environment." Journal of Korean Institute of Electromagnetic Engineering and Science 26, no. 3 (March 31, 2015): 317–25. http://dx.doi.org/10.5515/kjkiees.2015.26.3.317.

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Itao, Tomoko, and Masato Matsuo. "DANSE: Dynamically adaptive networking service environment." Electronics and Communications in Japan (Part II: Electronics) 84, no. 11 (November 2001): 30–40. http://dx.doi.org/10.1002/ecjb.1070.

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Rainey, Paul B., and Michael Travisano. "Adaptive radiation in a heterogeneous environment." Nature 394, no. 6688 (July 1998): 69–72. http://dx.doi.org/10.1038/27900.

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Glinert, Ephraim P., R. Lindsay Todd, and G. Bowden Wise. "The adaptive multi-interface multimodal environment." ACM Computing Surveys 28, no. 4es (December 1996): 134. http://dx.doi.org/10.1145/242224.242394.

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Mozer, M. C. "An Intelligent Environment Must Be Adaptive." IEEE Intelligent Systems and their Applications 14, no. 2 (March 1999): 11–13. http://dx.doi.org/10.1109/mis.1999.757623.

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Jhwueng, D. C., and V. Maroulas. "Adaptive trait evolution in random environment." Journal of Applied Statistics 43, no. 12 (February 2, 2016): 2310–24. http://dx.doi.org/10.1080/02664763.2016.1140729.

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Dissertations / Theses on the topic "Adaptive environment"

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Costello, Robert. "Adaptive intelligent personalised learning (AIPL) environment." Thesis, University of Hull, 2012. http://hydra.hull.ac.uk/resources/hull:6251.

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As individuals the ideal learning scenario would be a learning environment tailored just for how we like to learn, personalised to our requirements. This has previously been almost inconceivable given the complexities of learning, the constraints within the environments in which we teach, and the need for global repositories of knowledge to facilitate this process. Whilst it is still not necessarily achievable in its full sense this research project represents a path towards this ideal. In this thesis, findings from research into the development of a model (the Adaptive Intelligent Personalised Learning (AIPL)), the creation of a prototype implementation of a system designed around this model (the AIPL environment) and the construction of a suite of intelligent algorithms (Personalised Adaptive Filtering System (PAFS)) for personalised learning are presented and evaluated. A mixed methods approach is used in the evaluation of the AIPL environment. The AIPL model is built on the premise of an ideal system being one which does not just consider the individual but also considers groupings of likeminded individuals and their power to influence learner choice. The results show that: (1) There is a positive correlation for using group-learning-paradigms. (2) Using personalisation as a learning aid can help to facilitate individual learning and encourage learning on-line. (3) Using learning styles as a way of identifying and categorising the individuals can improve their on-line learning experience. (4) Using Adaptive Information Retrieval techniques linked to group-learning-paradigms can reduce and improve the problem of mis-matching. A number of approaches for further work to extend and expand upon the work presented are highlighted at the end of the Thesis.
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Keeble, Richard John. "An adaptive environment for personal information management." Thesis, Brunel University, 1999. http://bura.brunel.ac.uk/handle/2438/6509.

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This dissertation reports the results of research into the provision of adaptive user interfaces to support individuals in the management of their personal information. Many individuals find that they have increased responsibility for managing aspects of their own lives, including the information associated with their jobs. In contrast with traditional approaches to information management, which are generally driven by organisational or business requirements, the requirements of personal information management systems tend to be less rigidly defined. This dissertation employs research from the areas of personal information management and adaptive user interfaces - systems which can monitor how they are used, and adapt on a personal level to their user - to address some of the particular requirements of personal information management systems. An adaptive user interface can be implemented using a variety of techniques, and this dissertation draws on research from the area of software agents to suggest that reactive software agents can be fruitfully applied to realise the required adaptivity. The reactive approach is then used in the specification and development of an adaptive interface which supports simple elements of personal information management tasks. The resulting application is evaluated by means of user trials and a usability inspection, and the theoretical architectures and techniques used in the specification and development of the software are critically appraised. The dissertation demonstrates an application of reactive software agents in adaptive systems design and shows how the behaviour of the system can be specified based on the analysis of some representative personal information management tasks.
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Markkanen, P. (Piia). "Intelligent and adaptive lighting in retail environment." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201305241335.

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The aim of this diploma thesis work was to create new applications for intelligent and adaptive lighting in retail environment. Lighting is an important factor in generating atmosphere in retail space and it has been shown to affect customer behavior. Combining intelligent technology with lighting design enables new applications for creating an environment that senses the presence of the user. It can be employed to adapt the lighting to inform and guide the customer by creating visual focal points. Alternatively, the level of illumination can be adapted to the different requirements of the use, e.g. the presence of customers or employees. The methods used in this study were scenario working and implementation. Four major themes were defined to approach the subject: 1. Navigation and guidance, 2. Product display and browsing, 3. Pleasure and entertainment, and 4. Natural light and simulated natural light. The themes were studied in a form of short stories written from point of view of both customer or designer, and the chosen applications were further studied and implemented in a hypermarket environment. The implementations were presented as two case studies: Aisles and shelves and Landmarks and dynamic display lighting. The first case study describes lighting of the grocery store shelves. The following things were considered in the design: the noticeability of the ends of the shelves that have high value in product placement, the direction of the light, and the adaptability of lighting to the customer’s presence. An approaching customer triggers the sequential brightening of luminaires in between the shelves. The second case study considered focal points in retail environment and dynamic display lighting. In the lighting design, the landmarks, or focal points, are areas of interest that appeal and guide the customer. This is achieved in the design by using higher intensity of light compared to the surrounding environment or more colorful lighting. By displaying products under dynamic lighting, the changes in light intensity attract customer’s attention and increase the noticeability of products illuminated in this fashion. Lighting is a versatile tool that can be easily used to change the appearance and atmosphere of retail environment from one season to another, keeping the store interesting and appealing to the customer. With current technology, these changes can be applied in an intelligent and adaptive manner: lighting can interact with customers and employees, and it can be made easily controllable for designers and visualists. The discovered applications can be applied to several types of retail environments, and depending on the application, also to other types of architectural spaces, for example museums and exhibition spaces
Diplomityöni tavoitteena on kehittää uudenlaisia älykkäitä ja mukautuvia valaistusratkaisuita myymälätiloihin. Valaistus on tärkeä myymälätilojen ilmapiirille ja sen on osoitettu vaikuttavan asiakkaan käyttäytymiseen. Kun valaistussuunnittelu soveltaa älykästä teknologiaa, ihmisen läsnäoloa aistivaa ympäristöä voidaan toteuttaa uusilla tavoilla. Vaihtoehtoisesti, valaistuksen tasoa voidaan säätää tilan eri käyttötarkoituksen mukaan, esimerkiksi asiakkaan tai henkilökunnan tarpeisiin. Diplomityöni on tehty käyttäen menetelminä skenaariotyöskentelyä ja suunnittelua. Käsittelin aihetta neljän pääteeman mukaisesti: 1. Liikkuminen ja ohjaaminen, 2. Esillepano ja löytäminen, 3. Viihtyminen ja viihdyttäminen sekä 4. Luonnonvalo ja luonnonvalon simulointi. Kirjoitin teemoista lyhyitä tarinoita asiakkaan ja suunnittelijan näkökulmista. Tutkin valittuja käyttökohteita tarkemmin ja sovelsin suunnitelmia hypermarket-ympäristöön. Esittelen suunnitelmaosuuden kahden esimerkin kautta: Hyllyt ja käytävät sekä Kiintopisteet ja dynaaminen tuotevalaistus. Ensimmäinen esimerkki käsittelee ruokaosaston hyllyjen valaistusta. Suunnittelussa olen kiinnittänyt huomiota hyllyjen päätyyn sijoitettujen tuotteiden näkyvyyteen, valon suuntaukseen ja valaistuksen mukautumiseen asiakkaan läsnäoloon. Lähestyvä asiakas aktivoi hyllyjen väliin sijoitettujen valaisinten vaiheittaisen kirkastumisen. Toisessa esimerkissä käsittelen kiintopisteitä myymälätilassa ja dynaamista tuotteiden valaistusta. Olen käyttänyt kiintopisteiden valaisussa ympäristöä suurempaa valon intensiteettiä tai värillistä valoa houkuttelemaan ja ohjaamaan asiakasta. Tuotteisiin kohdistuvan valon määrän muutokset herättävät asiakkaan mielenkiinnon lisäten valaistujen tuotteiden näkyvyyttä. Valaistus on monipuolinen työkalu, jolla voi helposti muuttaa myymälätilan ilmettä ja tunnelmaa ja siten pitää yllä asiakkaan mielenkiintoa sesongista toiseen. Älykkään nykyteknologian keinoin voidaan toteuttaa mukautuva, asiakkaan ja työntekijän kanssa vuorovaikuttava valaistus, joka on helposti suunnittelijan ja visualistin toteutettavissa ja ohjattavissa. Työssä käsiteltyjä uusia käyttötarkoituksia voi soveltaa myös muihin ympäristöihin, kuten museoihin ja näyttelytiloihin
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Singh, Nisheet. "Sense Respond Environment for Adaptive Participatory Services." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1274975205.

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Aljojo, Nahla Mohamed. "Teacher assisting and subject adaptive material system : an Arabic adaptive learning environment." Thesis, University of Portsmouth, 2012. https://researchportal.port.ac.uk/portal/en/theses/teacher-assisting-and-subject-adaptive-material-system(f5231b3c-7b5a-41e5-a26d-c286da1d2529).html.

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This thesis reports on research to develop the first adaptive learning system for the Arabic language. The research also develops the first robust translation of the Felder-Soloman Index of Learning Styles (ILS) instrument into Arabic. Literal translation of the ILS applied to a pilot study resulted in lower internal validity in the instrument than found in the English language versions. The research discusses the development of a translation protocol undertaken to improve the validity and internal reliability of the Arabic version of the ILS. The new Arabic version of the Felder-Soloman Index of Learning Styles (ILS) instrument has been applied to two Arabic speaking groups in different Faculties at the King Abdul-Aziz University in Saudi Arabia: The Arts and Humanities Faculty and the Economics and Administration Faculty a total of 1204 students. Further analysis indicates that the Arabic version of the Felder-Soloman Index of Learning Styles (ILS) seems to be an appropriate psychometric instrument to identify learning styles in Arabic speaking communities. The second major part of the research was to use the Felder-Soloman Index of Learning Styles (ILS) instrument to develop an adaptive learning styles system and evaluate its effectiveness. The Teacher Assisting and Subject Adaptive Material System (TASAM) was tested out on different cohorts of students. Results showed that students taught using the learning style adaptive system performed significantly better in academic achievement than students taught the same material without adaptation to learning style. The feedback of student’s Survey overall students seemed to have enjoyed using the TASAM system and there seemed to have been a positive impact on learning performance. The thesis also provides guidance on translations of psychometric instrument and developing adaptive learning system.
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Famorzadeh, Shahram. "BEEHIVE : an adaptive, distributed, embedded signal processing environment." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/14803.

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Bairaktaris, Dimitrios. "Adaptive pattern recognition in a real-world environment." Thesis, University of St Andrews, 1991. http://hdl.handle.net/10023/9261.

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This thesis introduces and explores the notion of a real-world environment with respect to adaptive pattern recognition and neural network systems. It then examines the individual properties of a real-world environment and proposes Continuous Adaptation, Persistence of information and Context-sensitive recognition to be the major design criteria a neural network system in a real-world environment should satisfy. Based on these criteria, it then assesses the performance of Hopfield networks and Associative Memory systems and identifies their operational limitations. This leads to the introduction of Randomized Internal Representations, a novel class of neural network systems which stores information in a fully distributed way yet is capable of encoding and utilizing context. It then assesses the performance of Competitive Learning and Adaptive Resonance Theory systems and again having identified their operational weakness, it describes the Dynamic Adaptation Scheme which satisfies all three design criteria for a real-world environment.
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Brugnolli, Mateus Mussi. "Predictive adaptive cruise control in an embedded environment." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/3/3139/tde-24092018-151311/.

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The development of Advanced Driving Assistance Systems (ADAS) produces comfort and safety through the application of several control theories. One of these systems is the Adaptive Cruise Control (ACC). In this work, a distribution of two control loops of such system is developed for an embedded application to a vehicle. The vehicle model was estimated using the system identification theory. An outer loop control manages the radar data to compute a suitable cruise speed, and an inner loop control aims for the vehicle to reach the cruise speed given a desired performance. For the inner loop, it is used two different approaches of model predictive control: a finite horizon prediction control, known as MPC, and an infinite horizon prediction control, known as IHMPC. Both controllers were embedded in a microcontroller able to communicate directly with the electronic unit of the vehicle. This work validates its controllers using simulations with varying systems and practical experiments with the aid of a dynamometer. Both predictive controllers had a satisfactory performance, providing safety to the passengers.
A inclusão de sistemas avançados para assistência de direção (ADAS) tem beneficiado o conforto e segurança através da aplicação de diversas teorias de controle. Um destes sistemas é o Sistema de Controle de Cruzeiro Adaptativo. Neste trabalho, é usado uma distribuição de duas malhas de controle para uma implementação embarcada em um carro de um Controle de Cruzeiro Adaptativo. O modelo do veículo foi estimado usando a teoria de identificação de sistemas. O controle da malha externa utiliza dados de um radar para calcular uma velocidade de cruzeiro apropriada, enquanto o controle da malha interna busca o acionamento do veículo para atingir a velocidade de cruzeiro com um desempenho desejado. Para a malha interna, é utilizado duas abordagens do controle preditivo baseado em modelo: um controle com horizonte de predição finito, e um controle com horizonte de predição infinito, conhecido como IHMPC. Ambos controladores foram embarcados em um microcontrolador capaz de comunicar diretamente com a unidade eletrônica do veículo. Este trabalho valida estes controladores através de simulações com sistemas variantes e experimentos práticos com o auxílio de um dinamômetro. Ambos controladores preditivos apresentaram desempenho satisfatório, fornecendo segurança para os passageiros.
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Kapočiūtė-Dzikienė, Jurgita. "Induction of environment and goal models by an adaptive agent in deterministic environment." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2011. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2011~D_20110201_145709-70884.

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If the laws of percepts change, which are described by deterministic Markov decision process, exist in the observable or partially observable environment, then the agent by interacting with the environment and having no initial knowledge is capable to discover those laws using the methods of logical and constructive induction (i.e. is capable to learn environment and goal models); it is capable to learn predicting precisely its own consequences of actions and apply this learned knowledge in order to achieve its own goals in the new unseen situations. Adaptive agent proposed in this dissertation differs from other similar works presented in the literature in three novel potentials that enables this agent to solve the problem of knowledge transferability from one environment into another, when the same laws are valid for the environments; to solve the problem of goal percepts generalization; and to solve the problem of perceptual aliasing in the partially observable environment. During the investigations it was discovered that adaptive agent using created environment model solves the tasks of knowledge transferability into new environments better than other alternative agents (based on Q-learning and ADP methods); using created goal model solves the goal percepts generalization tasks by correctly approximating the reward function and predicting its values in the new environments; solves the problem of perceptual aliasing by transforming the deterministic nth order Markov... [to full text]
Jei stebimoje ar iš dalies stebimoje aplinkoje galioja būsenų kaitos dėsniai, nusakomi deterministiniu Markovo sprendimo procesu, tai agentas, sąveikaudamas su aplinka ir neturėdamas jokių pradinių žinių, gali šiuos dėsnius atrasti loginės ir konstrukcinės indukcijos metodais (išmokti aplinkos ir tikslo modelius), gali išmokti tiksliai prognozuoti savo veiksmų pasekmes ir taikyti šias žinias, kad greičiau pasiektų savo tikslus naujose nematytose situacijose. Disertacijoje siūlomas adaptyvus agentas nuo literatūroje pristatomų panašių darbų skiriasi trimis naujomis galimybėmis, nes: geba spręsti vienoje aplinkoje išmoktų žinių perkeliamumo į naujas aplinkas problemą, kai aplinkoms galioja tie patys dėsniai; tikslo stebėjimų apibendrinimo problemą; stebėjimų daugiareikšmiškumo problemą dalinai stebimoje aplinkoje. Tyrimų metu nustatyta, kad adaptyvus agentas, naudodamas sukurtą aplinkos modelį, žinių perkeliamumo į naujas aplinkas uždavinius sprendžia geriau nei kiti alternatyvūs agentai (grindžiami Q-mokymu ir ADP metodais); tikslo stebėjimų apibendrinimo uždavinius, naudodamas sukurtą tikslo modelį, sprendžia teisingai aproksimuodamas atlygio funkciją ir prognozuodamas pastiprinimo reikšmes naujose aplinkose; stebėjimų daugiareikšmiškumo problemą sprendžia pertvarkydamas deterministinį n-tos eilės Markovo sprendimo procesą į 1-os eilės ir jam sukurdamas aplinkos modelį, atitinkantį baigtinį Muro automatą.
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McClintock, Shaunna. "Soft computing : a fuzzy logic controlled genetic algorithm environment." Thesis, University of Ulster, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268579.

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Books on the topic "Adaptive environment"

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Preisig, James Calvin. Adaptive matched field processing in an uncertain propagation environment. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1992.

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Oodit, B. P. Adaptive data transmission in a severe interference environment. Manchester: UMIST, 1990.

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Bienvenido-Huertas, David, and Carlos Rubio-Bellido. Adaptive Thermal Comfort of Indoor Environment for Residential Buildings. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0906-0.

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Ravenscroft, John. Modifying the Windows environment for visually impaired computer users. Edinburgh: University of Edinburgh, 1995.

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Porter, N. Wayne. Resource usage for adaptive C4I models in a heterogeneous computing environment. Monterey, Calif: Naval Postgraduate School, 1999.

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Yi, Qing. Simulating nonmodel-fitting responses in a CAT environment. Iowa City, Iowa: ACT, 1998.

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Yi, Qing. Simulating nonmodel-fitting responses in a CAT environment. Iowa City, IA: ACT, Inc., 1998.

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Yi, Qing. Simulating nonmodel-fitting responses in a CAT environment. Iowa City, Iowa: ACT, 1998.

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Yi, Qing. Simulating nonmodel-fitting responses in a CAT environment. Iowa City, Iowa: ACT, 1998.

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Froelich, Amy Goodwin. Modifying existing dimensionality assessment tools for use in a CAT environment. Newtown, PA: Law School Admission Council, 2006.

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Book chapters on the topic "Adaptive environment"

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Landau, I. D., R. Lozano, and M. M’Saad. "Parameter Adaptation Algorithms — Deterministic Environment." In Adaptive Control, 51–116. London: Springer London, 1998. http://dx.doi.org/10.1007/978-0-85729-343-5_3.

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Landau, I. D., R. Lozano, and M. M’Saad. "Parameter Adaptation Algorithms — Stochastic Environment." In Adaptive Control, 117–49. London: Springer London, 1998. http://dx.doi.org/10.1007/978-0-85729-343-5_4.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Parameter Adaptation Algorithms—Deterministic Environment." In Adaptive Control, 55–120. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_3.

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Landau, Ioan Doré, Rogelio Lozano, Mohammed M’Saad, and Alireza Karimi. "Parameter Adaptation Algorithms—Stochastic Environment." In Adaptive Control, 121–51. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-664-1_4.

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Specht, Marcus. "ACE-Adaptive Courseware Environment." In Lecture Notes in Computer Science, 380–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44595-1_51.

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Fitts, David J., Jennifer L. Rochlis, Mihriban Whitmore, and Alexandra Whitmire. "The International Space Station: Adaptive Human Accommodations in an Extreme, Isolated Environment." In Adaptive Architecture, 239–48. New York : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315627113-31.

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Laroussi, Mona. "Ontology in Adaptive Learning Environment." In Advances in Intelligent Systems and Computing, 167–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30859-8_16.

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Lumelsky, Vladimir J. "Continuous Robot Motion Planning In Unknown Environment." In Adaptive and Learning Systems, 339–58. Boston, MA: Springer US, 1986. http://dx.doi.org/10.1007/978-1-4757-1895-9_24.

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Fay, Lindsey L. "Post-Occupancy Evaluation of a Multi-Tasking Environment: The University of Kentucky Medical Center’s Emergency Department." In Adaptive Architecture, 105–13. New York : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315627113-14.

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Fitzgerald, Camilo, Benjamin Klöpper, and Shinichi Honiden. "Utility-Based Self-Adaption with Environment Specific Quality Models." In Adaptive and Intelligent Systems, 107–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23857-4_14.

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Conference papers on the topic "Adaptive environment"

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Christou, Julian C., John M. Hill, Gustavo Rahmer, Douglas L. Miller, Gregory E. Taylor, and Pedro Escárate. "Vibration environment of the LBTO/AO system." In Adaptive Optics Systems VI, edited by Dirk Schmidt, Laura Schreiber, and Laird M. Close. SPIE, 2018. http://dx.doi.org/10.1117/12.2313882.

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Park, Chang-Woo, and Jung-Hoon Hwang. "Mobile Robot Localization for Logistics Environment." In Adaptive Optics: Analysis, Methods & Systems. Washington, D.C.: OSA, 2015. http://dx.doi.org/10.1364/aoms.2015.jt5a.23.

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Piovesan, Sandra Dutra, Erico Marcelo Hoff do Amaral, Catiane Priscila Barbosa Arenhardt, and Roseclea Duarte Medina. "Adaptive virtual learning environment." In 2012 IEEE Global Engineering Education Conference (EDUCON). IEEE, 2012. http://dx.doi.org/10.1109/educon.2012.6201131.

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Szécsi, László, László Szirmay-Kalos, Murat Kurt, and Balázs Csébfalvi. "Adaptive sampling for environment mapping." In the 26th Spring Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1925059.1925073.

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Yamato, Yoji, Hirofumi Noguchi, Misao Kataoka, and Takuma Isoda. "Proposal of Environment Adaptive Software." In the 2nd International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3341016.3341035.

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Pal, Partha, Rick Schantz, Aaron Paulos, John Regehr, and Mike Hibler. "Advanced Adaptive Application (A3) Environment." In the Middleware 2011 Industry Track Workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2090181.2090186.

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Escárate, Pedro, Julian C. Christou, Gustavo Rahmer, Doug L. Miller, and John M. Hill. "Understanding the Vibration Environment for LBT/AO." In Adaptive Optics for Extremely Large Telescopes 5. Instituto de Astrofísica de Canarias (IAC), 2017. http://dx.doi.org/10.26698/ao4elt5.0164.

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Kurzel, Frank, Jill Slay, and Yenha Chau. "Towards an Adaptive Multimedia Learning Environment." In 2002 Informing Science + IT Education Conference. Informing Science Institute, 2002. http://dx.doi.org/10.28945/2518.

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Abstract:
In this paper, we describe an evolving adaptive multimedia learning environment that utilises multimedia presentation techniques in its interface while still providing Internet connectivity for management and delivery purposes. The structure of the domain is based on concepts that can be presented in a variety of ways; multimedia players display the content on the client computer. A student and course model exists that determine what content item is presented, based on both student prior competencies (pre-requisite knowledge and skills) and preferences.
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Naik, Vandana, and Venkatesh Kamat. "Adaptive and Gamified Learning Environment (AGLE)." In 2015 IEEE Seventh International Conference on Technology for Education (T4E). IEEE, 2015. http://dx.doi.org/10.1109/t4e.2015.23.

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Benko, Borbála Katalin, Edzard Höfig, Nermin Brgulja, and Rico Kusber. "Adaptive Services in a Distributed Environment." In 2008 Applications and Services in Wireless Networks (ASWN). IEEE, 2008. http://dx.doi.org/10.1109/aswn.2008.8.

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Reports on the topic "Adaptive environment"

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Yusko, Y. Adaptive Computing Environment and Simulations (Sentinel). Office of Scientific and Technical Information (OSTI), March 2021. http://dx.doi.org/10.2172/1773583.

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Hutchings, Brad, Brent Nelson, Mike Wirthlin, and Doran Wilde. Unified Debug Environment for Adaptive Computing Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada419973.

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Hall, Mary, and Pedro Diniz. DEFACTO: A Design Environment for Adaptive Computing Technology. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada415637.

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Banerjee, Prithviraj. A MATLAB Compilation Environment for Adaptive Computing Systems. Fort Belvoir, VA: Defense Technical Information Center, June 2002. http://dx.doi.org/10.21236/ada407681.

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Krolik, Jeffrey. Adaptive CFAR Performance Prediction in an Uncertain Environment. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada628893.

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Rosenberg, Jonathan. Adaptive Environment for Supercompiling with Optimized Parallelism (AESOP). Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada554687.

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Detry, Richard Joseph, John Michael Linebarger, Patrick D. Finley, S. Louise Maffitt, Robert John, Jr Glass, Walter Eugene Beyeler, and Arlo Leroy Ames. Complex Adaptive Systems of Systems (CASOS) engineering environment. Office of Scientific and Technical Information (OSTI), February 2012. http://dx.doi.org/10.2172/1038222.

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Levchuk, Georgiy, Andres Ortiz, and John-Collonna Romano. Distributed Sensing and Processing Adaptive Collaboration Environment (D-SPACE). Fort Belvoir, VA: Defense Technical Information Center, July 2014. http://dx.doi.org/10.21236/ada608436.

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Colvin, Nathan M. A Complex Adaptive Systems Approach to the Future Operational Environment. Fort Belvoir, VA: Defense Technical Information Center, May 2014. http://dx.doi.org/10.21236/ada611766.

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Entin, Elliot E., Caroline Kerrigan, Michael Berbaum, Patrice Lancey, and Debra McCallum. Issues of Adaptive Automated Surveys in a Computer Network Environment. Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada393689.

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