Academic literature on the topic 'Smart adaptive'

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Journal articles on the topic "Smart adaptive"

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Kantibhai Gohel, Keyurkumar. "IoT-Enabled Smart Fixtures for Adaptive Test Automation." International Journal of Science and Research (IJSR) 14, no. 1 (2025): 1308–15. https://doi.org/10.21275/sr25018084546.

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Glukhova, L. V., K. V. Kaziev, B. V. Kazieva, V. M. Kaziev, A. A. Sherstobitova, and S. A. Gudkova. "ADAPTIVE AND MANAGEABLE SMART ECONOMY AND SMART UNIVERSITIES." Vestnik Volzhskogo universiteta im. V.N. Tatishcheva 2, no. 3 (2021): 5–12. http://dx.doi.org/10.51965/2076-7919_2021_2_3_5.

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Hudhud, Ghada Al, and Henda Chorfi. "Smart adaptive learning management application." Biometrics & Biostatistics International Journal 6, no. 5 (2017): 454–61. http://dx.doi.org/10.15406/bbij.2017.06.00181.

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Kidwell, Kelley M., and Luke W. Hyde. "Adaptive Interventions and SMART Designs." American Journal of Evaluation 37, no. 3 (2016): 344–63. http://dx.doi.org/10.1177/1098214015617013.

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Vesnin, E. N., A. E. Mikhailov, V. A. Tsarev, and P. S. Cherkas. "Smart camera adaptive optoelectronic system." Pattern Recognition and Image Analysis 22, no. 3 (2012): 406–11. http://dx.doi.org/10.1134/s1054661812020216.

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Salman, Aymen Dawood, Ula Khudheer, and Ghaida Muttasher Abdulsaheb. "An Adaptive Smart Street Light System for Smart City." Journal of Computational and Theoretical Nanoscience 16, no. 1 (2019): 262–68. http://dx.doi.org/10.1166/jctn.2019.7944.

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Krithika, M. "Adaptive Automation System." International Journal for Research in Applied Science and Engineering Technology 13, no. 2 (2025): 68–78. https://doi.org/10.22214/ijraset.2025.66737.

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The paper "Adaptive Automation: Integrated Smart System with HiveX App" focuses on creating a robust automation solution that enhances energy efficiency and operational control. The HiveX App is at the heart of this system, providing a userfriendly platform for real-time management and monitoring of various smart systems. Through the app, users can seamlessly interact with different devices and systems, optimizing their operations to conserve energy and improve overall efficiency. By leveraging real-time data from sensors and automation controls, the HiveX App ensures that electrical appliances, lighting and environmental systems are activated only when necessary. This dynamic approach significantly reduces power consumption, as devices are automatically adjusted based on occupancy and environmental conditions. Users can remotely control and monitor their systems, making energy management more convenient and efficient. The app will give real-time insights to energy usage, which allows users to track and optimize consumption patterns. Its adaptability ensures that the automation system remains responsive to changing conditions, making it an essential tool for maintaining energy efficient, smart environments in homes and businesses.
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Holnicki-Szulc, Jan, C. Graczykowski, G. Mikułowski, A. Mróz, and P. Pawłowski. "Smart Technologies for Adaptive Impact Absorption." Solid State Phenomena 154 (April 2009): 187–94. http://dx.doi.org/10.4028/www.scientific.net/ssp.154.187.

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The article presents a review of recent research carried out in the Department of Intelligent Technologies of Institute of Fundamental Technological Research, dedicated to application of systems for adaptive impact absorption to adaptive aircraft landing gears, novel concept of protective MFM structures, flow-control based airbags, maritime applications of inflatable structures, and development of adaptive wind turbine blade – hub connections.
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Aubert, Jocelyn, Christophe Feltus, Andrea Kostakis, and Djamel Khadraoui. "Smart-X: an Adaptive Multi-Agent Platform for Smart-Topics." Procedia Computer Science 109 (2017): 943–48. http://dx.doi.org/10.1016/j.procs.2017.05.438.

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Alzyoud, Faisal Yousef, Abdallah Altahan Alnuaimi, and Faiz Al Shrouf. "Adaptive Smart Traffic Accidents Management System." International Journal of Interactive Mobile Technologies (iJIM) 15, no. 14 (2021): 72. http://dx.doi.org/10.3991/ijim.v15i14.19099.

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<p>The proliferation of smart devices, IoT applications and wireless communication technologies contribute in countries development, society’s security, cost reduction, and customer services satisfactions; since they are used in different aspects of our life. Traffic congestion and accidents are increased recently and reached critical limits, so these contribute in initiating sever problems for researchers, governments and industry over the last few decades. Traffic accidents have many defects relating to increase number of death, infrastructure distribution, and health injuries; therefore, there is a crucial need to develop and modify an approach that utilizes the new technology to limit and prevent the traffic accidents. Wireless sensors networks are developed to support smart solutions in smart cities like smart traffic, smart grid and others. In this research we developed a comprehensive approach to achieve the following three important goals in smart accident elimination. The first goal is to minimize the number of exchange information packets between sensors to save the battery life through developing and adapting clustering schema to minimize the number of exchanges information packets. The second goal is to calculate and determine the optimum route from accident location to the nearest rescue location by developing a dynamic routing schema that is calculated by the control station depending on a cost heuristics function. The third goal is to predicate the accident causes and minimize the probability of accidents occur using a warning message schema and drawing some obstacles on some routing paths. Cupcarbon simulator and MATLAB software tool are developed to simulate different scenarios in order to proof the research goals.</p>
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Dissertations / Theses on the topic "Smart adaptive"

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Gent, Ian Oliver. "Biologically inspired adaptive camouflage : polychromatic smart materials." Thesis, University of Bristol, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.738293.

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Hwang, Seung-Hyeon. "Adaptive antenna techniques for smart antennas and radar systems." Related electronic resource: Current Research at SU : database of SU dissertations, recent titles available full text, 2005. http://wwwlib.umi.com/cr/syr/main.

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Carmona, Sanchez Jesus. "A smart adaptive load for power-frequency support applications." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/a-smart-adaptive-load-for-powerfrequency-support-applications(043dde9b-b753-4a6a-9c41-4c93b34681f9).html.

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At present, one of the main issues in electric power networks is the reduction in conventional generation and its replacement by low inertia renewable energy generation. The balance between generation and demand has a direct impact on the system frequency and system inertia limits the frequency rate of change until compensation action can be undertaken. Traditionally generation managed frequency. In future, loads may be required to do more than just be able to be switched off during severe under frequency events. This thesis focuses on the development and practical implementation of the control structure of a smart adaptive load for network power-frequency support applications. The control structure developed makes use of advanced demand side management of fan loads (powered by AC drives) used in heating, ventilation, and air conditioning systems; where a change in power at rated load has little effect on their speed due to the cubic relationship between speed and power. The AC drive implemented in this thesis is based on an induction motor and a two level voltage source converter. To achieve the smart adaptive load functionality, first a power-frequency multi-slope droop control structure (feedforward control) is developed; relating the frequency limits imposed by the network supplier and the fan power-speed profile (Chapter 2, Fig 2.19). Secondly, this control structure is combined with the control developed, in Chapter 3, for the AC drive powering the fan load. The full development of the control structure of the AC drive, its tuning process and its practical implementation is given; an equation is developed to find suitable tuning parameters for the speed control of the nonlinear load (fan load), i.e. Eq. (3.59).The analysis and simulation results provided in Chapter 4 conclude that a fast control of the active power drawn by the AC drive is possible by controlling the electromagnetic torque (hence current) of the induction motor without disturbing the fan load overly. To achieve this, changes between closed loop speed control and open loop torque control (power control) are performed when needed. Two main issues were addressed before the hardware implementation of the smart adaptive load: the estimation of the network frequency under distorted voltage conditions, and the recovery period of the network frequency. In this thesis two slew rate limiters were implemented to deal with such situations. Other possible solutions are also outlined. Finally, experimental results in Chapter 5 support results given in Chapter 4. A full power-frequency response is achieved by the smart adaptive load within 3s.
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Omareen, Mustafa. "Optimized Integration of Electric Vehicles into the Smart Grid : V2G and Smart Charging Adaptive Algorithm." Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-99009.

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Electric Vehicles (EVs) reduce dependency on oil and carbon emissions. An upsurge in demand for EVs could lead to negative impacts on the grid. However, charging strategies, such as supporting the grid using vehicle-to-grid (V2G) and smart charging technology, can go a long way to reducing the impacts on the electrical load curve. The thesis presents a number of aspects which relate to the interconnection between EVs and the electric grid for achieving an optimized integration. An adaptive algorithm has been developed to perform load peak shaving by V2G and smart charging, while a hypothetical case study containing several types of EVs in a local grid has been conducted. The aim is to examine the developed algorithm. In conclusion, by using the adaptive algorithm, written in C++, an optimum status has been achieved concerning the electric grid and EV batteries.
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Velasquez, Garrido Jose J. "Fuzzy Model Reference Learning Control for Smart Lights." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1364242984.

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Biehlig, Ekaterina. "Design of Smart Polymeric Materials with Responsive / Adaptive Adhesion Properties." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-118293.

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Adhesion between different objects is happening everywhere. Without it, simple procedures like walking or holding something in a hand or attaching a postage stamp would be impossible. The life itself depends on adhesion on all levels, starting from the interactions between the living cells. Adhesion between two substrates is a complex phenomenon, which at present is still not well understood. There are several factors determining the strength of adhesion: (i) molecular interactions at interface, (ii) mechanical properties of adhesive, and (iii) area of contact between adhesive and probing surface. Two surfaces are tacky when they possess the right balance between these factors. Controlling the adhesion of materials is important in many fields ranging from industrial purposes to biomedical applications and everyday usage. There is a demand for “smart” materials with integrated functionalities that make them responsive, switchable, biocompatible, anti-bacterial, more energy efficient, or autonomous. In particular, materials for such cutting-edge applications like cell culture, drug delivery, tissue engineering, biosensors, anti/biofouling, microfluidics, climbing robots, sport equipment and many others require adjustable/tuneable adhesive properties. Many efforts were directed towards fabrication of materials with either weak or strong adhesion depending on the field of application. However, design of “smart” surfaces with reversibly switchable/controllable adhesion is still a highly challenging task. Therefore, the thesis aims on design of smart polymeric materials with responsive / adaptive adhesion properties. For this, fabrication and investigation of two types of switchable polymer layers based on stimuli-responsive polymer brushes will be performed. The first group is dealing with thermoresponsive polymer brushes: poly-(N-isopropylacrylamide) and two types of biocompatible polyethylene glycol-based systems. These polymer layers undergo phase transition below and above LCST between hydrophilic and hydrophobic states. The second part of the work is related to solvent-responsive comb-like and block copolymer brushes consisted of hydrophilic PEG and hydrophobic PDMS biocompatible and biodegradable polymers.
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Chalmers, C. "Adaptive health monitoring using aggregated energy readings from smart meters." Thesis, Liverpool John Moores University, 2017. http://researchonline.ljmu.ac.uk/7543/.

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Worldwide, the number of people living with self-limiting conditions, such as Dementia, Parkinson’s disease and depression, is increasing. The resulting strain on healthcare resources means that providing 24-hour monitoring for patients is a challenge. As this problem escalates, caring for an ageing population will become more demanding over the next decade, and the need for new, innovative and cost effective home monitoring technologies are now urgently required. The research presented in this thesis directly proposes an alternative and cost effective method for supporting independent living that offers enhancements for Early Intervention Practices (EIP). In the UK, a national roll out of smart meters is underway. Energy suppliers will install and configure over 50 million smart meters by 2020. The UK is not alone in this effort. In other countries such as Italy and the USA, large scale deployment of smart meters is in progress. These devices enable detailed around-the-clock monitoring of energy usage. Specifically, each smart meter records accurately the electrical load for a given property at 10 second intervals, 24 hours a day. This granular data captures detailed habits and routines through user interactions with electrical devices. The research presented in this thesis exploits this infrastructure by using a novel approach that addresses the limitations associated with current Ambient Assistive Living technologies. By applying a novel load disaggregation technique and leveraging both machine learning and cloud computing infrastructure, a comprehensive, nonintrusive and personalised solution is achieved. This is accomplished by correlating the detection of individual electrical appliances and correlating them with an individual’s Activities of Daily Living. By utilising a random decision forest, the system is able to detect the use of 5 appliance types from an aggregated load environment with an accuracy of 96%. By presenting the results as vectors to a second classifier both normal and abnormal patient behaviour is detected with an accuracy of 92.64% and a mean squared error rate of 0.0736 using a random decision forest. The approach presented in this thesis is validated through a comprehensive patient trial, which demonstrates that the detection of both normal and abnormal patient behaviour is possible.
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Abdullah, Miran Taha. "Smart Client-Server Protocol and Architecture for Adaptive Multimedia Streaming." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/103324.

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En los últimos años, el consumo de servicios multimedia ha aumentado y se prevé que esta tendencia continúe en un futuro próximo, convirtiendo el tema de la evaluación de la Calidad de la Experiencia (QoE) en un tema muy importante para valorar el servicio de los proveedores. En este sentido, la optimización de la QoE recibe cada vez más atención ya que las soluciones actuales no han tenido en cuenta, la adaptación, la viabilidad, la rentabi-lidad y la fiabilidad. La presente memoria se centra en la caracterización, diseño, desarrollo y evaluación de diferentes aplicaciones multimedia, con el fin de optimizar la QoE. Por tanto, este trabajo investiga la influencia que la infraestructura de redes, las características de los videos y los terminales de los usuarios, presentan en la QoE de los servicios multimedia actuales en Internet. Esta tesis se basa en la investigación exhaustiva de la evaluación subjetiva y objetiva de QoE en redes heterogéneas. Los desafíos y cuestiones relacionados con el estado de la técnica y se discuten en esta disertación. En la primera fase, diseñamos una metodología de prueba para evaluar la QoE en la transmisión de video en directo y a través de plataformas de video bajo demanda en redes Wi-Fi y celulares. A partir de esta fase inicial, propondremos los problemas a investigar y las preguntas para resolver a lo largo de esta disertación. Nuestra metodología hace uso de métricas subjetivas y objetivas para evaluar la QoE percibida por los usuarios finales. Se realiza un conjunto de experimentos en laboratorio donde nuestra metodología de pruebas es aplicada. Los resultados obtenidos se recopilan y analizan para extraer las relaciones entre la Calidad de servicio (QoS) y QoE. A partir de estos resultados, se propone un mapeo de QoS-QoE que permite predecir la QoE. En la siguiente fase de la investigación, desarrollamos los algoritmos de optimización de QoE basados en la administración del sistema de red para redes Wi-Fi y celulares. Los algoritmos usan los parámetros clave que se tuvieron en cuenta para la evaluación de QoE. El objetivo de estos algorit-mos es proporcionar un sistema de gestión flexible para las redes con el ob-jetivo de lograr un equilibrio controlado entre la maximización de QoE y la eficiencia del uso de los recursos. Por último, se diseña el banco de pruebas del sistema para evaluar el rendimiento de las aplicaciones de servicios multimedia genéricos en los diferentes entornos de prueba. El banco de pruebas del sistema se basa en el enfoque de virtualización; usa los recursos compartidos de un hardware fí-sico para virtualizar todos los componentes. El banco de pruebas virtualiza-do proporciona funciones de red virtualizadas para diferentes escenarios, como Internet (las redes de distribución de contenido - CDNs) y redes inalámbricas. Por lo tanto, se adoptan protocolos livianos y mecanismos ágiles en el sistema, para proporcionar un mejor servicio a los usuarios fina-les. Los resultados de QoE son proporcionados a los proveedores de servi-cios de acuerdo con los parámetros que se definen en el proceso de la eva-luación. Como resultado hemos obtenido un sistema que presenta un servi-cio rentable como una forma factible para la evaluación de la prueba.<br>In recent years, multimedia services consumption has increased and it is expected that this trend will continue in the near future, becoming the evaluation of Quality of Experience (QoE) as a very important issue for assessing the quality of providers' services. In this sense, the optimization of the QoE is progressively receiving much attention considering that current solutions are not based on the adaptation, feasibility, cost-effectiveness, and reliability. The present dissertation is focused on the characterization, design, development and evaluation of different multimedia applications aimed to optimize the QoE. Therefore, this work investigates the influence that the networks infrastructure, the videos' characteristics and the users' terminals present on QoE of the current Internet multimedia services. The work is based on a comprehensive research of subjective and objective assessments in heterogeneous networks. Challenges and research questions related to the state of the art are discussed in this dissertation. In the first phase of this dissertation, we design a test methodology for assessing QoE of live video streaming and video on demand platforms to be transmitted over Wi-Fi and cellular networks. From this initial step, we will propound the related research issues and questions to solve this dissertation. Our methodology considers the use of subjective and objective metrics to evaluate the QoE perceived by end-users. A set of laboratory experiments is conducted where our proposed methodology is applied. The obtained results are gathered and analyzed to extract the relations between Quality of Service (QoS) and QoE. From the results, we propose a QoS-QoE mapping which allows predicting QoE. In the next phase of the research, we develop QoE-optimization algorithms based on network system management for Wi-Fi and cellular networks. The algorithms use the key parameters that were taken into account for QoE assessment. The goal of these algorithms is to provide a flexible management system for the networks in order to achieve the desirable trade-off between QoE maximization and resource usage efficiency. Lastly, the system testbed is designed in order to evaluate the performance of generic multimedia services applications for the different environments under test. The system testbed is based on virtualization approach; it uses the shared resources of a physical hardware to virtualize all components. The virtualized testbed provides virtualized network functions for the different scenarios such as the Internet (Content Delivery Networks - CDNs) and wireless networks. Therefore, lightweight protocols and agile mechanisms are adopted in the system to provide enhanced service to end-users. The QoE results are reported to the service providers according to the parameters defined in the evaluation process. As a result, we have obtained a cost-effective system, which is considered as a feasible way for test evaluation.<br>En els últims anys, el consum de serveis multimèdia ha augmentat i es preveu que aquesta tendència continue en un futur pròxim, convertitnt el tema de l'avaluació de la Qualitat d'Experiència (QoE) una tasca molt im-portant per a valorar el servei dels proveïdors. En aquest sentit, l'optimització de la QoE rep cada vegada més atenció degut a que les solucions actuals no tenen en compte, l'adaptació, la viabilitat, el rendiment i la fiabilitat. La present memòria se centra en la caracterització, disseny, desenvolupament i avaluació de diferents aplicacions multimèdia, amb la finalitat d'optimitzar la QoE. Per tant, aquest treball investiga la influència que la infraestructura de les xarxes, les característiques dels videos i els terminals dels usuaris tenen sobre la QoE dels serveis multimèdia actuals d'Iinternet. Aquesta tesi es basa en una recerca exhaustiva de l'avaluació subjectiva i objectiva de QoE en xarxes heterogènies. Els desafiaments i preguntes relacionats amb l'estat de la tècnica es discuteixen en aquesta dissertació. En la primera fase, dissenyem la metodologia de prova per a avaluar la QoE de transmissió de video en directe i de plataformes de video baix demanda en xarxes Wi-Fi i cel·lulars. A partir d'aquest primer pas, proposem els problemes de recerca relacionats i les preguntes a resoldre a través d'a-questa tesi. La nostra metodologia fa ús de mètriques subjectives i objecti-ves per a avaluar la QoE dels usuaris finals. Es realitzen un conjunt d'expe-riments en laboratori on s'aplica la nostra metodología. Els resultats obtin-guts es recopilen i analitzen per a extraure les relacions entre la QoS i la QoE. A partir d'aquests resultats, esproposa un mapatge de QoS-QoE que ens permetrà predir la QoE. En la següent fase de la recerca, desenvolupem els algoritmes d'optimi-tzació de la QoE per a l'administració de xarxes Wi-Fi i cel·lulars. Els algo-ritmes utilitzen els paràmetres clau que es van tenir en compte per a l'ava-luació de QoE. L'objectiu d'aquests algoritmes és proporcionar un sistema de gestió flexible per ales xarxes que permetrá aconseguir un equilibri con-trolat entre la maximització de la QoE i l'us eficient dels recursos. Finalment, el banc de proves del sistema està dissenyat per a avaluar el rendiment de les aplicacions de serveis multimèdia genèrics en els diferents entorns de prova. El banc de proves del sistema es basa en l'enfocament de virtualització; usa els recursos compartits d'un equip físic que virtualitza tots els components. El banc de proves virtualitzat proporciona les funcions de xarxa virtualitzades per a diferents escenaris, com Internet (les xarxes de distribució de continguts - CDNs) i xarxes sense fils. Per tant, s'adopten protocols lleugers i mecanismes àgils en el sistema per a proporcionar un millor servei als usuaris finals. Els resultats de QoE son proporcionats als proveïdors de serveis d'acord amb els paràmetres que es defineixen en el procés de l'avaluació. Com a resultat, hem obtés un sistema que presenta un servei rendible i com a viable per a l'avaluació de la prova.<br>Abdullah, MT. (2018). Smart Client-Server Protocol and Architecture for Adaptive Multimedia Streaming [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/103324<br>TESIS
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Juswardy, Budi. "Integrated broadband microphotonic beamformer for adaptive nulling in smart antennas." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2010. https://ro.ecu.edu.au/theses/1843.

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The tremendous growth of the wireless communications sector and the problem of limited available spectrum that can be used to cater the wireless demand have spurred the need for better data transmission capacity and signal rates for wireless communication systems. Smart antennas are the promising technology for improving the wireless communication systems performance. Smart antennas are system that consist of antenna arrays capable of adaptively adjusting the beam pattern, thereby enhancing the desired signals (beam steering) and suppressing the interference signals (null steering), which is also known as Space Division Multiple Access (SDMA). SDMA systems allow significant improvement in the area of capacity, signal bandwidth, signal-to-interference ratio, and frequency reuse. Due to the increasing complexity of the smart antennas system, innovations and improvements in miniaturisation, power consumption, and cost are needed. These breakthroughs could be achieved by combining the microelectronic and photonic technologies, leading to an innovative software-driven broadband MicroPhotonic beamforming system. This thesis presents a doctoral study of integrated MicroPhotonic smart antenna beamformers. The beamformers presented in this study is based on microminiaturisation of hotonic and electronic components, which processes RF-modulated optical signals and adaptively synthesises multiple broadband null for interference suppression. Two types of beamformer are investigated in this thesis; the first form is based on delaying the input RF signal via discrete, high-resolution true-time delay (TTD) through the use of free space optics. The second type is based on continuous TTD generation using an Opto-VLSI processor in conjunction with high-dispersive optical fibres. Design, simulation and proof-of-concept demonstration of some of the photonic building blocks and RF components of smart antennas that employ the MicroPhotonic beamformer are presented. These smart antennas are designed for use in adaptive broadband phased-array antenna applications including multimedia wireless transmission and RADAR.
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Kavak, Adnan. "Vector propagation channel studies for smart antenna wireless communication systems /." Full text (PDF) from UMI/Dissertation Abstracts International, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p3004302.

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Books on the topic "Smart adaptive"

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Valle, Maurizio, ed. Smart Adaptive Systems on Silicon. Springer US, 2004. http://dx.doi.org/10.1007/978-1-4020-2782-6.

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Gabrys, Bogdan, Kauko Leiviskä, and Jens Strackeljan, eds. Do Smart Adaptive Systems Exist? Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-32374-0.

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Singh, Simar Preet, Arun Solanki, Anju Sharma, Zdzislaw Polkowski, and Rajesh Kumar. Smart Computing and Self-Adaptive Systems. CRC Press, 2021. http://dx.doi.org/10.1201/9781003156123.

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Ulrich, Gabbert, Society of Automotive Engineers, and Euromech Colloquium (373rd : 1998 : Magdeburg, Germany), eds. Modelling and control of adaptive mechanical structures. Society of Automotive Engineers, 1999.

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A, Ealey Mark, and Society of Photo-optical Instrumentation Engineers., eds. Smart structures and materials, 1993. SPIE, 1993.

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Clark, Robert L. Adaptive structures: Dynamics and control. Wiley, 1998.

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Engineers, Society of Automotive, ed. Modelling and control of adaptive mechanical structures. Society of Automotive Engineers, 1997.

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1960-, Rappaport Theodore S., ed. Smart antennas: Adaptive arrays, algorithms, & wireless position location. Institute of Electrical and Electronics Engineers, Inc., 1998.

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1939-, Vincenzini P., Ferrari Maurizio, and Righini Giancarlo, eds. Smart & adaptive optics: Selected, peer reviewed papers from CIMTEC 2012-4th International Conference on Smart Materials, Structures and Systems, June 10-14, 2012, Terme, Italy. Trans Tech, 2013.

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International Conference on Adaptive Structures and Technologies (9th 1998 Boston, Mass.). Ninth International Conference on Adaptive Structures and Technologies: October 14-16, 1998, Boston, Massachusetts, U.S.A. Technomic Pub. Co., 1999.

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Book chapters on the topic "Smart adaptive"

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Ohira, Takashi, and Jun Cheng. "Analog Smart Antennas." In Adaptive Antenna Arrays. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05592-2_11.

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Suleman, A., A. P. Costa, P. Moniz, and C. Crawford. "An Adaptive Aeroelastic Wing." In Smart Structures. Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-2686-8_4.

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Suleman, A., and R. Sedaghati. "An Adaptive Truss Structure." In Smart Structures. Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-2686-8_5.

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Holnicki-Szulc, J. "Optimal Design of Adaptive Structures." In Smart Structures. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4611-1_12.

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Mozer, Michael C. "Lessons from an Adaptive Home." In Smart Environments. John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/047168659x.ch12.

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Tseng, Huan-Hsin, Randall K. Ten Haken, and Issam El Naqa. "Smart Adaptive Treatment Strategies." In Machine and Deep Learning in Oncology, Medical Physics and Radiology. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-83047-2_18.

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Suleman, A. "A Finite Element Adaptive Plate Model." In Smart Structures. Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-2686-8_3.

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Knap, L., and J. Holnicki-Szulc. "Design of Adaptive Structures for Improved Crashworthiness." In Smart Structures. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4611-1_17.

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Tarasova, I. L., Vugar G. Kurbanov, and Andrey E. Gorodetskiy. "Adaptive Capture." In Smart Electromechanical Systems: The Central Nervous System. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53327-8_10.

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Okamoto, Garret. "Implementation of Smart Antennas for Wireless LAN Systems." In Adaptive Antenna Arrays. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05592-2_28.

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Conference papers on the topic "Smart adaptive"

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Schmidt, Katharina, Nektarios Koukourakis, Ulrike Wallrabe, and Juergen Czarske. "Smart Scanning Microscopy With Adaptive Lenses and Prisms." In 3D Image Acquisition and Display: Technology, Perception and Applications. Optica Publishing Group, 2024. https://doi.org/10.1364/3d.2024.dth4h.1.

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We present smart microscopic setups to scan biological 3D samples. The combination of machine learning algorithms and adaptive optical elements improves scanning and aberration correction for multiple microscopic techniques. Full-text article not available; see video presentation
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Seeley, Charles, and Aditi Chattopadhyay. "Modeling delaminations in smart composite laminates." In Adaptive Structures Forum. American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1276.

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Kretzer, Manuel, Jessica In, Joel Letkemann, and Tomasz Jaskiewicz. "Resinance: A (Smart) Material Ecology." In ACADIA 2013: Adaptive Architecture. ACADIA, 2013. http://dx.doi.org/10.52842/conf.acadia.2013.137.

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Kretzer, Manuel, Jessica In, Joel Letkemann, and Tomasz Jaskiewicz. "Resinance: A (Smart) Material Ecology." In ACADIA 2013: Adaptive Architecture. ACADIA, 2013. http://dx.doi.org/10.52842/conf.acadia.2013.137.

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Reichhart, Stephen P., and Bruce Youmans. "Smart, adaptive communications." In 2006 International Waveform Diversity & Design Conference. IEEE, 2006. http://dx.doi.org/10.1109/wdd.2006.8321493.

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Rajaa, Amellal Ra. "Smart Adaptive Beamforming." In NISS 2024: The 7th International Conference On Networking, Intelligents Systems and Security. ACM, 2024. http://dx.doi.org/10.1145/3659677.3659718.

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Nitzsche, F. "Designing efficient helicopter individual blade controllers using smart structures." In Adaptive Structures Forum. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-1766.

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Grewal, A., F. Nitzsche, D. Zimcik, and B. Leigh. "Active control of aircraft cabin noise using smart structures." In Adaptive Structures Forum. American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-1274.

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Stark, Benjamin, and Mohammad Samarah. "Mac7: Adaptive Smart Toothbrush." In 2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC). IEEE, 2018. http://dx.doi.org/10.1109/sdpc.2018.8664828.

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Varadan, Vijay K. "MEMS- and NEMS-based complex adaptive smart devices and systems." In Complex Adaptive Structures, edited by William B. Spillman, Jr. SPIE, 2001. http://dx.doi.org/10.1117/12.446770.

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Reports on the topic "Smart adaptive"

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Tan, Xiaobo, and John S. Baras. Adaptive Identification and Control of Hysteresis in Smart Material Actuators. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada439777.

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Smith, H. A. Adaptive Control of Smart Structures with Time Variant Stiffness and Damping. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada326843.

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LeBlanc, Lester R., and Pierre-Philippe J. Beaujean. Smart Acoustic Network Using Combined FSK-PSK, Adaptive, Beamforming and Equalization. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada628285.

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Beaujean, Pierre-Philippe, and Steven Schock. Smart Acoustic Network Using Combined Fsk-Psk, Adaptive Beamforming and Equalization. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada629527.

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Khan, Mahreen. Adaptive Programming for Anti-Corruption Initiatives. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/k4dd.2024.036.

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The rapid evidence review on "Adaptive Programming for Anti-Corruption Initiatives" explores the potential of adaptive programming (AP) to address entrenched political corruption in low- and middle-income countries. Despite limited quantitative studies and challenges in measuring outcomes, AP shows promise by being adaptable, politically smart, and locally driven. The review highlights the need for more empirical data and case studies to validate AP's effectiveness in overcoming traditional anti-corruption program limitations, emphasising transparency, accountability, and stakeholder engagement.
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Cedergren, Elin, Hilma Salonen, and Lumi Tomren. Rethinking population shrinkage: smart adaptation for Nordic municipalities and regions. Nordregio, 2025. https://doi.org/10.6027/pb2025:19.2001-3876.

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Many Nordic municipalities are experiencing population decline, ageing, and uneven demographic trends, creating challenges for economic sustainability, service provision, and infrastructure development. While growth has traditionally been the policy focus, these shifts require a different approach. Smart adaptation offers a way to rethink resource allocation, adjust services, and foster innovation to build more resilient communities. This policy brief explores how policymakers and planners can develop adaptive strategies to manage demographic change effectively. It highlights key principles of smart adaptation and provides practical insights for national, regional, and local decision-makers.
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Saha, Devanik. Most Effective Health System Strengthening Interventions in Fragile and Conflict Affected States (FCAS). Institute of Development Studies, 2024. http://dx.doi.org/10.19088/k4dd.2024.035.

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The rapid evidence review on "Adaptive Programming for Anti-Corruption Initiatives" explores the potential of adaptive programming (AP) to address entrenched political corruption in low- and middle-income countries. Despite limited quantitative studies and challenges in measuring outcomes, AP shows promise by being adaptable, politically smart, and locally driven. The review highlights the need for more empirical data and case studies to validate AP's effectiveness in overcoming traditional anti-corruption program limitations, emphasising transparency, accountability, and stakeholder engagement.
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Sikora, Yaroslava B., Olena Yu Usata, Oleksandr O. Mosiiuk, Dmytrii S. Verbivskyi, and Ekaterina O. Shmeltser. Approaches to the choice of tools for adaptive learning based on highlighted selection criteria. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4447.

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The article substantiates the relevance of adaptive learning of students in the modern information society, reveals the essence of such concepts as “adaptability” and “adaptive learning system”. It is determined that a necessary condition for adaptive education is the criterion of an adaptive learning environment that provides opportunities for advanced education, development of key competencies, formation of a flexible personality that is able to respond to different changes, effectively solve different problems and achieve results. The authors focus on the technical aspect of adaptive learning. Different classifications of adaptability are analyzed. The approach to the choice of adaptive learning tools based on the characteristics of the product quality model stated by the standard ISO / IEC 25010 is described. The following criteria for the selecting adaptive learning tools are functional compliance, compatibility, practicality, and support. By means of expert assessment method there were identified and selected the most important tools of adaptive learning, namely: Acrobatiq, Fishtree, Knewton (now Wiliy), Lumen, Realize it, Smart Sparrow (now Pearson). Comparative tables for each of the selected tools of adaptive learning according to the indicators of certain criteria are given.
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Khan, Mahreen. Lessons from Adaptive Programming. Institute of Development Studies, 2022. http://dx.doi.org/10.19088/k4d.2022.142.

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The aim of adaptive programming (AP) is to produce adaptive, flexible, iterative, responsive, problem-driven, politically smart, locally led programmes which are effective and efficient and meet donor requirements for accountability. This is a rapid desk review of recent literature on AP including academic and grey sources. Section 2 covers the main challenges and barriers to successful implementation of AP. Key success factors are covered in Section 3. Selecting the appropriate monitoring and evaluation tools such as outcome harvesting or adapted versions of Value for Money to assist in measuring outcomes and embedding learning is key to successful AP, particularly in governance programmes, where results are usually long-term, non-linear and causality can be difficult to specifically trace back to the donor-funded intervention. Section 4 details three case studies from the governance arena as this report was requested to assist in designing adaptive governance programmes. Thus, the State Accountability and Voice Initiative (SAVI) from Nigeria, Chakua Hatua from Tanzania, and Within and Without the State (WWS) from conflict regions are included to show how flexible indicators, donor communication and negotiation, empowering teams and adopting monitoring and evaluation tools assisted in successful AP outcomes in different locations and political contexts. The challenges faced and drawbacks of certain processes were fed into efficient feedback loops fostering cross-communication, adaptation, and modification to ensure procedures and policies were changed accordingly. Sources used are primarily from the previous 5 years, as per K4D norms, unless the work is seminal, such as the ODI Report (2016) Doing Development Differently, which encouraged over 60 countries to sign up for the AP methodology. This review found a substantive body of literature on AP methodology the relative recency of academic attention on AP in the development less evidence is available on case studies of AP in the development sector, as there are not many ongoing projects and even fewer have been completed and results assessed (ICF, 2019). There is also a lack of case studies on how dynamic, empowered, innovative teams successfully apply adaptive programming ideas, particularly providing behavioural insights about such teams (Cooke, 2017) as well as little attention to precipitating and sustaining behaviour change in institutions over the longer term (Power, 2017).
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Pasupuleti, Murali Krishna. Smart Nanomaterials and AI-Integrated Grids for Sustainable Renewable Energy. National Education Services, 2025. https://doi.org/10.62311/nesx/rr1025.

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Abstract: The transition to sustainable and intelligent renewable energy systems is being driven by advancements in smart nanomaterials and AI-integrated smart grids. Nanotechnology has enabled the development of high-performance energy materials, such as graphene, perovskites, quantum dots, and MXenes, which enhance the efficiency, durability, and scalability of renewable energy solutions. Simultaneously, AI-driven smart grids leverage machine learning, deep learning, and digital twins to optimize energy distribution, predictive maintenance, and real-time load balancing in renewable energy networks. This research explores the synergistic integration of AI and nanomaterials to develop self-regulating, adaptive, and fault-tolerant energy infrastructures. The study examines AI-powered energy storage, decentralized smart microgrids, quantum AI for grid cybersecurity, and blockchain-integrated energy trading. Furthermore, the report assesses global industry adoption, policy frameworks, and economic growth trends, providing a strategic roadmap for the large-scale implementation of AI-enhanced nanomaterial-based energy systems. Through case studies and real-world applications, this research highlights how AI and nanotechnology will drive the next-generation sustainable energy revolution. Keywords Smart nanomaterials, AI-integrated grids, sustainable renewable energy, graphene-based solar cells, perovskite photovoltaics, quantum dots in energy, MXenes for energy storage, AI-driven energy optimization, machine learning for smart grids, deep learning energy forecasting, predictive maintenance in energy grids, digital twins for grid management, AI-powered decentralized microgrids, blockchain energy trading, hydrogen storage nanomaterials, AI-enhanced lithium-ion batteries, reinforcement learning in energy distribution, AI for demand-side energy management, quantum AI for grid cybersecurity, scalable nanomaterial-based energy solutions, AI-driven self-healing energy materials.
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