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Academic literature on the topic 'Adaptation energy'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Adaptation energy"

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Loenneke, Jeremy P. "What is adaptation energy?" Journal of Trainology 10, no. 1 (January 22, 2021): 1. http://dx.doi.org/10.17338/trainology.10.1_1.

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Hallin, Per Olof. "Energy, Lifestyles and Adaptation." Geografiska Annaler. Series B, Human Geography 76, no. 3 (1994): 173. http://dx.doi.org/10.2307/490640.

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Hallin, Per Olof. "Energy, Lifestyles and Adaptation." Geografiska Annaler: Series B, Human Geography 76, no. 3 (October 1994): 173–85. http://dx.doi.org/10.1080/04353684.1994.11879674.

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Mohd Anuar, Aliya Syahira, Wan Norsyafizan W. Muhamad, Darmawaty Mohd Ali, Suzi Seroja Sarnin, and Norfishah Ab Wahab. "A review on link adaptation techniques for energy efficiency and QoS in IEEE802.11 WLAN." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 1 (January 1, 2020): 331. http://dx.doi.org/10.11591/ijeecs.v17.i1.pp331-339.

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<span>Link adaptation is a technique that able to adapt modulation and coding scheme (MCS) based on radio channel conditions. With the exponential increase on the wireless devices nowadays, it contributes to high energy consumption and an increase in carbon dioxide (CO<sub>2</sub>) emission which contribute to the environmental issue. Researchers have developed proposals to tackle these issues by design algorithms based on link adaptation technique. Nowadays, various link adaptation techniques have been proposed by researchers with target for either Quality of Service (QoS) enhancement as well as energy efficiency. This paper presents A Review on Link Adaptation Techniques for Energy Efficiency and QoS in IEEE802.11 WLAN. In this study, a comprehensive review of the relevant literature published that focus on link adaptation technique in IEEE 802.11 WLAN in improving the energy efficiency and maximize the QoS performance is presented. Link adaptation can be categorized into transmission power control adaptation, transmission data rate adaptation and joint rate adaptation. These adaptations are carried out according to the channel state information (CSI). CSI can be categorized into signal-to-noise ratio (SNR), bit error rate (BER), delay, and queue length.</span>
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Rijal, Hom B., Michael A. Humphreys, and J. Fergus Nicol. "Behavioural Adaptation for the Thermal Comfort and Energy Saving in Japanese Offices." Journal of the Institute of Engineering 15, no. 2 (July 31, 2019): 14–25. http://dx.doi.org/10.3126/jie.v15i2.27637.

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Office workers use a variety of adaptive opportunities to regulate their indoor thermal environment. The behavioural adaptations such as window opening, clothing adjustments, and use of heating/cooling are important factors for adaptive thermal comfort. It is well-known that they are the most important contributors in the adaptive thermal comfort model. Thus, if we understand the behavioural adaptation properly, we can explain the mechanism of the adaptive model. The indoor thermal environment is often adjusted using the air conditioning in Japanese office buildings to improve thermal comfort and productivity. Thus, it is necessary to conduct research on the behavioural adaptation in the offices because the occupant behavior is different from behaviour in dwellings. In order to record the seasonal differences in behavioural adaptation and to develop an adaptive algorithm for Japanese offices, we measured temperatures in 11 office buildings and conducted the thermal comfort and occupant behaviour survey for over a year. We collected 4,660 samples from about 1,350 people. The proportion of ‘open window’ in the free running mode (neither heating nor cooling being used) is significantly higher than that of the air conditioned mode. The behavioural adaptation is related to the outdoor air temperature. The behavioural adaptations such as window-opening, heating and cooling use predicted by regression analysis are in good agreement with the measured data. These findings can be applied to building thermal simulation to predict the behavioural adaptation and energy use in office buildings.
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Gorban, Alexander N., Tatiana A. Tyukina, Elena V. Smirnova, and Lyudmila I. Pokidysheva. "Evolution of adaptation mechanisms: Adaptation energy, stress, and oscillating death." Journal of Theoretical Biology 405 (September 2016): 127–39. http://dx.doi.org/10.1016/j.jtbi.2015.12.017.

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Camps, Stefan G. J. A., Sanne P. M. Verhoef, and Klaas R. Westerterp. "Leptin and energy restriction induced adaptation in energy expenditure." Metabolism 64, no. 10 (October 2015): 1284–90. http://dx.doi.org/10.1016/j.metabol.2015.06.016.

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Flinn, Jason, and M. Satyanarayanan. "Energy-aware adaptation for mobile applications." ACM SIGOPS Operating Systems Review 34, no. 2 (April 2000): 13–14. http://dx.doi.org/10.1145/346152.346170.

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Frenk, S. "Metabolic adaptation in protein-energy malnutrition." Journal of the American College of Nutrition 5, no. 4 (January 1986): 371–81. http://dx.doi.org/10.1080/07315724.1986.10720140.

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Flinn, Jason, and M. Satyanarayanan. "Energy-aware adaptation for mobile applications." ACM SIGOPS Operating Systems Review 33, no. 5 (December 12, 1999): 48–63. http://dx.doi.org/10.1145/319344.319155.

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Dissertations / Theses on the topic "Adaptation energy"

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Rasumov, Nikon. "Energy-aware adaptation." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.607938.

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Shehadeh, Dareen. "Dynamic network adaptation for energy saving." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0067/document.

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Notre travail s'inscrit dans le cadre des recherches sur le Sleeping mode. Notre contribution est structurée principalement autour deux axes : l'étude et l'évaluation de la performance des processus de mise en veille/réveil des points d'accès et la sélection du nombre minimal des points d'accès dans un milieu urbain dense. Dans un premier temps, nous étudions les processus de mise en veille/réveil des points d'accès dans un scenario classique de réseau domestique. Ce scenario suppose que le point d'accès mis en veille doit détecter la présence d'un utilisateur potentiel dans sa zone de couverture et réagir par conséquence d'une façon autonome pour se mettre en état de fonctionnement normal. Nous avons choisi quatre processus de réveil du point d'accès, et nous avons ensuite étudié chacun de ces processus, et proposé un protocole de communication qui permette à un utilisateur d'envoyer l'ordre au point d'accès de s'éteindre. Lorsque cela était possible, nous avons utilisé le protocole COAP qui est prévu pour établir des sessions de commande pour l'Internet des Objets. Nous avons ensuite mesuré les performances du point de vue de l'économie d'énergie qu'il permet de réaliser et du délai entre le moment où un utilisateur potentiel est détecté et le moment où le point d'accès devient opérationnel. Nous avons aussi étudié un réseau dense dans un milieu urbain (le centre ville de Rennes) où la zone de couverture d'un point d'accès pouvait être partiellement ou totalement couverte par d'autres points d'accès. Pour évaluer la redondance dans le réseau, nous avons collecté des informations réelles sur les points d'accès en utilisant l'application Wi2Me. Le traitement de ces informations nous a permis d'identifier les points d'accès existants dans la zone étudiée et leurs zones de couverture respectives démontrant ainsi la superposition de ces zones de couverture et le potentiel d'élimination d'un certain nombre de points d'accès sans affecter la couverture globale. Nous avons alors proposé un système centralisé qui collecte les données de couverture des points d'accès observée par les utilisateur. Nous avons donc utilisé ce simple fait pour centraliser la vue du réseau de plusieurs utilisateurs, ce qui permet d'avoir une vue assez précise de la disponibilité des points d'accès dans une zone géographie. Nous avons alors proposé une représentation de ces données de couverture à travers des matrices qui traitent les différentes erreurs de capture (coordonnées GPS non précises, réutilisation des noms de réseaux, etc). Enfin, nous avons ensuite proposé deux algorithmes permettant de sélectionner l'ensemble minimal des points d'accès requis fournissant une couverture identique à celle d'origine
The main goal of the thesis is to design an Energy Proportional Network by taking intelligent decisions into the network such as switching on and off network components in order to adapt the energy consumption to the user needs. Our work mainly focuses on reducing the energy consumption by adapting the number of APs that are operating to the actual user need. In fact, traffic load varies a lot during the day. Traffic is high in urban areas and low in the suburb during day work hours, while it is the opposite at night. Often, peak loads during rush hours are lower than capacities of the networks. Thus they remain lightly utilized for long periods of time. Thus keeping all APs active all the time even when the traffic is low causes a huge waste of energy. Our goal is to benefit from low traffic periods by automatically switch off redundant cells, taking into consideration the actual number of users, their traffic and the bandwidth requested to serve them. Ideally we wish to do so while maintaining reliable service coverage for existing and new coming users. First we consider a home networking scenario. In this case only one AP covers a given area. So when this AP is switched off (when no users are present), there will be no other AP to fill the gap of coverage. Moreover, upon the arrival of new users, no controller or other mechanism exists to wake up the AP. Consequently, new arriving users would not be served and would remain out of coverage. The study of the state of the art allowed us to have a clear overview of the existing approaches in this context. As a result, we designed a platform to investigate different methods to wake up an AP using different technologies. We measure two metrics to evaluate the Switching ON/OFF process for the different methods. The first is the energy consumed by the AP during the three phases it goes through. The second is the delay of time for the AP to wake up and be operational to serve the new users. In the second case we consider a dense network such as the ones found in urban cities, where the coverage area of an AP is also covered by several other APs. In other words, the gap resulting from switching off one or several APs can be covered by other neighbouring ones. Thus the first thing to do was to evaluate the potential of switching off APs using real measurements taken in a dense urban area. Based on this collected information, we evaluate how many APs can be switched off while maintaining the same coverage. To this end, we propose two algorithms that select the minimum set of APs needed to provide full coverage. We compute several performance parameters, and evaluate the proposed algorithms in terms of the number of selected APs, and the coverage they provide
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Mahadevamangalam, Srivasthav. "Energy-aware adaptation in Cloud datacenters." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17373.

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Context: Cloud computing is providing services and resources to customers based on pay-per-use. As the services increasing, Cloud computing using a vast number of data centers like thousands of data centers which consumes high energy. The power consumption for cooling the data centers is very high. So, recent research going on to implement the best model to reduce the energy consumption by the data centers. This process of minimizing the energy consumption can be done using dynamic Virtual Machine Consolidation (VM Consolidation) in which there will be a migration of VMs from one host to another host so that energy can be saved. 70% of energy consumption will be reduced/ saved when the host idle mode is switched to sleep mode, and this is done by migration of VM from one host to another host. There are many energy adaptive heuristics algorithms for the VM Consolidation. Host overload detection, host underload detection and VM selection using VM placement are the heuristics algorithms of VM Consolidation which results in less consumption of the energy in the data centers while meeting Quality of Service (QoS). In this thesis, we proposed new heuristic algorithms to reduce energy consumption. Objectives: The objective of this research is to provide an energy efficient model to reduce energy consumption. And proposing a new heuristics algorithms of VM Consolidationtechnique in such a way that it consumes less energy. Presenting the advantages and disadvantages of the proposed heuristics algorithms is also considered as objectives of our experiment. Methods: Literature review was performed to gain knowledge about the working and performances of existing algorithms using VM Consolidation technique. Later, we have proposed a new host overload detection, host underload detection, VM selection, and VM placement heuristic algorithms. In our work, we got 32 combinations from the host overload detection and VM selection, and two VM placement heuristic algorithms. We proposed dynamic host underload detection algorithm which is used for all the 32 combinations. The other research method chosen is experimentation, to analyze the performances of both proposed and existing algorithms using workload traces of PlanetLab. This simulation is done usingCloudSim. Results: To compare and get the results, the following parameters had been considered: Energy consumption, No. of migrations, Performance Degradation due to VM Migrations (PDM),Service Level Agreement violation Time per Active Host (SLATAH), SLA Violation (SLAV),i.e. from a combination of the PDM, SLATAH, Energy consumption and SLA Violation (ESV).We have conducted T-test and Cohen’s d effect size to measure the significant difference and effect size between algorithms respectively. For analyzing the performance, the results obtained from proposed algorithms and existing algorithm were compared. From the 32 combinations of the host overload detection and VM Selection heuristic algorithms, MADmedian_MaxR (Mean Absolute Deviation around median (MADmedian) and Maximum Requested RAM (MaxR))using Modified Worst Fit Decreasing (MWFD) VM Placement algorithm, andMADmean_MaxR (Mean Absolute Deviation around mean (MADmean), and MaximumRequested RAM (MaxR)) using Modified Second Worst Fit Decreasing (MSWFD) VM placement algorithm respectively gives the best results which consume less energy and with minimum SLA Violation. Conclusion: By analyzing the comparisons, it is concluded that proposed algorithms perform better than the existing algorithm. As our aim is to propose the better energy- efficient model using the VM Consolidation techniques to minimize the power consumption while meeting the SLAs. Hence, we proposed the energy- efficient algorithms for VM Consolidation technique and compared with the existing algorithm and proved that our proposed algorithm performs better than the other algorithm. We proposed 32 combinations of heuristics algorithms (host overload detection and VM selection) with two adaptive heuristic VM placement algorithms. We have proposed a dynamic host underload detection algorithm, and it is used for all 32 combinations. When the proposed algorithms are compared with the existing algorithm, we got 22 combinations of host overload detection and VM Selection heuristic algorithms with MWFD(Modified Worst Fit Decreasing) VM placement and 20 combinations of host overload detection and VM Selection heuristic algorithms with MSWFD (Modified Second Worst FitDecreasing) VM placement algorithm which shows the better performance than existing algorithm. Thus, our proposed heuristic algorithms give better results with minimum energy consumption with less SLA violation.
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Peng, Tingqing. "WSN Routing Schedule Based on Energy-aware Adaptation." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39223.

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In view of the problem of uneven load distribution and energy consumption among nodes in a multi-hop wireless sensor network, this research constructs the routing schedule problem as a MOP (Multi-objective Optimization Problem), and proposed an energy-aware routing optimization scheme RDSEGA based on multi-objective optimization. In this scheme, in order to avoid the searching space explosion problem caused by the increase of nodes, KSP Yen's algorithm was applied to prune the searching space, and the candidate paths selected after pruning are recoded based on priority. Then adopted the improved strengthen elitist genetic algorithm to get the entire network routing optimization scheme with the best energy efficiency. At the same time, in view of the problem of routing discontinuity in the process of path crossover and mutation, new crossover and mutation method was proposed that based on the gene fragments connected by the adjacent node or the same node to maximize the effectiveness of the evolution result. The experimental results prove that the scheme reduced the energy consumption of nodes in the network, the load between nodes becomes more balanced, and the working time of the network has been prolonged nearly 40% after the optimization. This brings convenience to practical applications, especially for those that are inconvenient to replace nodes.
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Krogsveen, Even. "Energy-Efficient Link Adaptation and Resource Allocation in Energy-Constrained Wireless Ad Hoc Networks." Thesis, Norwegian University of Science and Technology, Department of Electronics and Telecommunications, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8762.

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Wireless ad hoc networks have a number of advantages over traditional, infrastructure-based networks. Robustness and easy deployment are two of the main advantages. However, the distributed nature of such networks raises a number of design challenges, especially when energy-efficiency and QoS requirements are to be taken into consideration. These challenges can only be met by allowing closer cooperation and mutual adaptation between the protocol layers, referred to as a cross-layer design paradigm. In energy-constrained wireless ad hoc networks, each node can only transmit to a limited number of other nodes directly. Hence, in order to reach distant destinations, intermediate nodes must relay the traffic of their peer nodes, resulting in multihop routes. The total energy consumption associated with a end-to-end transmission over such a route can be significantly reduced if the nodes are correctly configured. A cross-layer, optimization scheme, based on adaptive modulation and power control, is proposed in this thesis. The optimization scheme assumes that an existing route has been found, and allows QoS requirements in terms of end-to-end bit error rate and delay. Both transmission and circuit energy consumption is taken into consideration. By jointly optimizing all nodes throughout the route, the total energy consumption can be reduced by more than 50%, compared to a fixed-rate system. The adaptive system also exhibits superior capabilities to meet stringent QoS requirements. Results for both continuous and discrete rate adaptation is produced, and it is found that discrete adaptation causes only a small performance degradation, compared to the optimal, continuous case. Simulations also show that the system is vulnerable to inaccurate link state information. Finally, the effects of maximum-rate limitation and ignoring the circuit power consumption is investigated.

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Kim, Eun Kyung Lim Alvin S. "Adaptation service framework for wireless sensor networks with balanced energy aggregation." Auburn, Ala., 2006. http://repo.lib.auburn.edu/2006%20Spring/master's/KIM_EUN_31.pdf.

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Penumetsa, Swetha. "A comparison of energy efficient adaptation algorithms in cloud data centers." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-17374.

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Context: In recent years, Cloud computing has gained a wide range of attention in both industry and academics as Cloud services offer pay-per-use model, due to increase in need of factors like reliability and computing results with immense growth in Cloud-based companies along with a continuous expansion of their scale. However, the rise in Cloud computing users can cause a negative impact on energy consumption in the Cloud data centers as they consume huge amount of overall energy. In order to minimize the energy consumption in virtual datacenters, researchers proposed various energy efficient resources management strategies. Virtual Machine dynamic Consolidation is one of the prominent technique and an active research area in recent time, used to improve resource utilization and minimize the electric power consumption of a data center. This technique monitors the data centers utilization, identify overloaded, and underloaded hosts then migrate few/all Virtual Machines (VMs) to other suitable hosts using Virtual Machine selection and Virtual Machine placement, and switch underloaded hosts to sleep mode.   Objectives: Objective of this study is to define and implement new energy-aware heuristic algorithms to save energy consumption in Cloud data centers and show the best-resulted algorithm then compare performances of proposed heuristic algorithms with old heuristics.   Methods: Initially, a literature review is conducted to identify and obtain knowledge about the adaptive heuristic algorithms proposed previously for energy-aware VM Consolidation, and find the metrics to measure the performance of heuristic algorithms. Based on this knowledge, for our thesis we have proposed 32 combinations of novel adaptive heuristics for host overload detection (8) and VM selection algorithms (4), one host underload detection and two adaptive heuristic for VM placement algorithms which helps in minimizing both energy consumption and reducing overall Service Level Agreement (SLA) violation of Cloud data center. Further, an experiment is conducted to measure the performances of all proposed heuristic algorithms. We have used the CloudSim simulation toolkit for the modeling, simulation, and implementation of proposed heuristics. We have evaluated the proposed algorithms using PlanetLab VMs real workload traces.   Results: The results were measured using metrics energy consumption of data center (power model), Performance Degradation due to Migration (PDM), Service Level Agreement violation Time per Active Host (SLATAH), Service Level Agreement Violation (SLAV = PDM . SLATAH) and, Energy consumption and Service level agreement Violation (ESV).  Here for all four categories of VM Consolidation, we have compared the performances of proposed heuristics with each other and presented the best heuristic algorithm proposed in each category. We have also compared the performances of proposed heuristic algorithms with existing heuristics which are identified in the literature and presented the number of newly proposed algorithms work efficiently than existing algorithms. This comparative analysis is done using T-test and Cohen's d effect size.   From the comparison results of all proposed algorithms, we have concluded that Mean absolute Deviation around median (MADmedain) host overload detection algorithm equipped with Maximum requested RAM VM selection (MaxR) using Modified First Fit Decreasing VM placement (MFFD), and Standard Deviation (STD) host overload detection algorithm equipped with Maximum requested RAM VM selection (MaxR) using Modified Last Fit decreasing VM placement (MLFD) respectively performed better than other 31 combinations of proposed overload detection and VM selection heuristic algorithms, with regards to Energy consumption and Service level agreement Violation (ESV). However, from the comparative study between existing and proposed algorithms, 23 and 21 combinations of proposed host overload detection and VM selection algorithms using MFFD and MLFD VM placements respectively performed efficiently compared to existing (baseline) heuristic algorithms considered for this study.   Conclusions: This thesis presents novel proposed heuristic algorithms that are useful for minimization of both energy consumption and Service Level Agreement Violation in virtual datacenters. It presents new 23 combinations of proposed host overloading detection and VM selection algorithms using MFFD VM placement and 21 combinations of proposed host overloading detection and VM selection algorithms using MLFD VM placement, which consumes the minimum amount of energy with minimal SLA violation compared to the existing algorithms. It gives scope for future researchers related to improving resource utilization and minimizing the electric power consumption of a data center. This study can be extended in further by implementing the work on other Cloud software platforms and developing much more efficient algorithms for all four categories of VM consolidation.
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Kalinga, Ranjith Shantha De Silva. "Adaptation of Solar Energy Driven Absorption Chillers for Air Conditioning in Commercial Building." Thesis, Högskolan i Gävle, Avdelningen för bygg- energi- och miljöteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-23828.

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The most recent analysis of energy usage in the country reveled that nearly 50% of the power generation is used for air conditioning and mechanical ventilation most of which is used by commercial organizations. The grid generation mix that contains a high percentage of fossil fuel makes such energy usage environment unfriendly. Although absorption refrigeration is an old technique its economical application is limited to applications where cheap or waste heat energy is available despite decades of R&D, due to low COP, high initial cost and larger size. Heat input at Moderately high (over 120ᵒC) temperature and need to release large amount of heat to the environment through liquid or air cooling makes absorption chiller less conducive in cooling. Yet, being a tropical country, Sri Lanka has a better potential in adopting solar driven absorption refrigeration, if the chillers are operated at low temperature heat input that also promotes efficiency in storage that is mandatory due to fluctuation of energy source, subject to economic feasibility. The project aims designing and modeling of a solar power driven absorption chiller system that is adoptable to a selected medium size commercial organization. The proposed system uses heat energy around 100ᵒC and reusing fraction of energy expelled to the environment by suitably modifying operating parameter and thereby increasing efficiency of the system. Reduction of such heat losses and reducing heat input is achieved with the use of secondary heat exchange (brine) system that optimizes the energy usage. This arrangement will make efficient usage of solar heat storage, even in the considerable absence of solar power. System modeling and simulation of both basic double effect chiller and its modified versions were carried out and compared to evaluate improvement. The simulation of the modified system was used to obtain working parameters of the chiller so that a suitable solar collector, chilled water and heat rejection systems can be designed. Operational conditions of the cooling system are measured by the state sensors that feed inputs to the control system to achieve the optimum efficiency and their technical details are also included in the report.
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Menon, Aju Sukumaran. "Test Rig Adaptation for the Investigation of Bearings in Wave Energy Converters." Thesis, KTH, Maskinkonstruktion (Inst.), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302556.

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Wave ocean energy is a source of renewable energy which is gaining interest in the modern world. In contrast to other well-researched renewable energy sources such as wind energy, wave ocean energy is under the development phase. Governments around the world are encouraging the research of harnessing wave energy. As of now, there are different concepts to harness energy from waves. Tribological components are one of the main aspects that need attention in these wave energy converters. The moving components such as bearings can be the life-determining component of the entire device. This thesis provides conceptual solutions to adapt an existing start-stop bearing test rig to the conditions of wave energy converters. The test rig can test different bearing sused in the wave energy converters. The new design intends to provide scaled wave energy conditions. These conditions are mainly influenced by the oscillating movement of the bearings, the complex load condition and the salty environment. Since the testing of bearings in wave energy converters is in the initial stage, modular designs are implemented to test different types of bearings.
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Lopez, Rémy. "Adaptation des méthodes “statistical energy analysis” (sea) aux problèmes d'électromagnétisme en cavités." Toulouse 3, 2006. http://www.theses.fr/2006TOU30045.

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Modéliser des phénomènes électromagnétiques par des méthodes déterministes requiert une division du volume étudié en éléments discrets dont la taille est de l'ordre du dixième de la longueur d'onde. La demande en ressource informatique augmente donc avec la fréquence. De plus, compte tenu de la complexité des problèmes et des incertitudes sur les données d'entrées, il devient illusoire de réaliser un calcul déterministe pour chaque variable analysée. De nouvelles méthodes, dites énergétiques, sont développées pour étudier les systèmes grands devant la longueur d'onde. Elles permettent d'estimer statistiquement la valeur du champ à l'intérieur d'un système. Une de ces techniques, la Statistical Energy Analysis (SEA), développée en acoustique, est transposée ici en électromagnétisme. La SEA permet de décrire les échanges d'énergies entre les différents systèmes composant une structure. L'énergie de chaque système dépend des notions de mode de résonance, de perte et de couplage. Les paramètres liés à ces notions sont évalués analytiquement et numériquement. Une méthode de sous structuration automatique est également présentée Les résultats obtenus semblent confirmer l'intérêt de cette méthode
Modeling electromagnetic phenomena by deterministic methods requires a subdivision of the volume under study into a number of discrete elements with sizes of the order of tenth of the wavelength. So, the demand for computer resources significantly grows with increasing frequencies. Moreover, taking into account the complexity of the problems and the uncertainties on the input data, it becomes illusory to make a deterministic calculation for each studied variable. New methods, called energetic methods, were developed to study systems large in front of the wavelength. They allow to estimate statistically the value of the field inside a system One of these methods, the Statistical Energy Analysis (SEA), developed in acoustic, is transposed here in electromagnetism. The SEA allows to describe the exchanges of energy between the different systems of a structure. The energy of each system depends on the concepts of mode of resonance, loss and coupling. The parameters linked with these concepts are assessed by analytical formulae and numerical simulations. An automatic sub structuring method is also presented. The results obtained seem to confirm the interest of this method
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Books on the topic "Adaptation energy"

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Grygoryan, Rafik D. The energy basis of reversible adaptation. Hauppauge, N.Y: Nova Science Publishers, 2012.

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Tzafestas, Spyros G. Energy, Information, Feedback, Adaptation, and Self-organization. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-66999-1.

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White, James C. Global Climate Change: The Economic Costs of Mitigation and Adaptation. Dordrecht: Springer Netherlands, 1992.

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Canada Oil and Gas Lands Administration. Local business adaptation to east coast offshore energy development. Ottawa: Environmental Research Funds, 1987.

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(Canada), Environmental Studies Revolving Funds. Local business adaptation to east coast offshore energy development. S.l: s.n, 1987.

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Watzenig, Daniel, and Bernhard Brandstätter, eds. Comprehensive Energy Management - Safe Adaptation, Predictive Control and Thermal Management. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-57445-5.

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Miller, Wayne C. The biochemistry of exercise and metabolic adaptation. Dubuque, IA: Brown & Benchmark, 1992.

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Mirjā, Ema Manirula Kādera. Climate change and the Canadian energy sector: Report on vulunerability impact and adaptation. Downsview, Ont: Adaptation & Impacts Research, Meteorological Service of Canada, Environment Canada, 2004.

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Payne, P. R. How third world rural households adapt to dietary energy stress: The evidence and the issues. Washington, D.C: International Food Research Institute, 1994.

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The Association of Academies of Sciences in Asia (AASA). Towards a Sustainable Asia: Energy. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Book chapters on the topic "Adaptation energy"

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Yamada, Hiroshi. "Fusion Energy." In Handbook of Climate Change Mitigation and Adaptation, 3139–71. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14409-2_31.

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Lenzen, Manfred, and Olivier Baboulet. "Wind Energy." In Handbook of Climate Change Mitigation and Adaptation, 1975–2005. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14409-2_34.

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Muraoka, Hirofumi. "Geothermal Energy." In Handbook of Climate Change Mitigation and Adaptation, 2057–84. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-14409-2_35.

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Yamada, Hiroshi. "Fusion Energy." In Handbook of Climate Change Mitigation and Adaptation, 1–27. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6431-0_31-2.

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Lenzen, Manfred, and Olivier Baboulet. "Wind Energy." In Handbook of Climate Change Mitigation and Adaptation, 1–25. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6431-0_34-2.

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Muraoka, Hirofumi. "Geothermal Energy." In Handbook of Climate Change Mitigation and Adaptation, 1–23. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6431-0_35-2.

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Muraoka, Hirofumi. "Geothermal Energy." In Handbook of Climate Change Mitigation and Adaptation, 1–23. New York, NY: Springer New York, 2020. http://dx.doi.org/10.1007/978-1-4614-6431-0_35-3.

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Roggema, Rob. "Energy Potentials." In Adaptation to Climate Change: A Spatial Challenge, 253–88. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9359-3_6.

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Muraoka, Hirofumi. "Geothermal Energy." In Handbook of Climate Change Mitigation and Adaptation, 809–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-72579-2_35.

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Doidge, Mary, Elena Irwin, Nicole Sintov, and Robyn S. Wilson. "Human Behavior and Adaptation." In The Food-Energy-Water Nexus, 101–27. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-29914-9_4.

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Conference papers on the topic "Adaptation energy"

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Unnikrishnan, P., G. Chen, M. Kandemir, and D. R. Mudgett. "Dynamic compilation for energy adaptation." In the 2002 IEEE/ACM international conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/774572.774595.

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Jalal, Syed Asim, Nicholas Gibbins, David Millard, Bashir M. Al-Hashimi, and Naif Radi Aljohani. "Energy-Aware Streaming Multimedia Adaptation." In MoMM '14: The 12th International Conference on Advances in Mobile Computing and Multimedia. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2684103.2684157.

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MURMANSKII, ILIA B., KONSTANTIN E. ARONSON, BORIS E. MURMANSKY, NICKPLAY V. ZHELONKIN, and YURI M. BRODOV. "TURBINE DIAGNOSTICS: ALGORITHMS ADAPTATION PROBLEMS." In ENERGY PRODUCTION AND MANAGEMENT 2020. Southampton UK: WIT Press, 2020. http://dx.doi.org/10.2495/epm200031.

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Khan, Muhammad Owais, Vacha Dave, Yi-Chao Chen, Oliver Jensen, Lili Qiu, Apurv Bhartia, and Swati Rallapalli. "Model-driven energy-aware rate adaptation." In the fourteenth ACM international symposium. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2491288.2491300.

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Li, Chi-Yu, Chunyi Peng, Songwu Lu, and Xinbing Wang. "Energy-based rate adaptation for 802.11n." In the 18th annual international conference. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2348543.2348585.

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Urunuela, Richard, Gilles Muller, and Julia L. Lawall. "Energy adaptation for multimedia information kiosks." In the 6th ACM & IEEE International conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1176887.1176920.

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Flinn, Jason, and M. Satyanarayanan. "Energy-aware adaptation for mobile applications." In the seventeenth ACM symposium. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/319151.319155.

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Moghaddam, Fahimen Alizadeh, Patricia Lago, and Iulia Cristina Ban. "Self-adaptation approaches for energy efficiency." In the 6th International Workshop. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3194078.3194084.

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Birnie, Claire, and Tariq Alkhalifah. "Leveraging domain adaptation for efficient seismic denoising." In Energy in Data Conference. Energy in Data, 2022. http://dx.doi.org/10.7462/eid2022-04.1.

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Isheden, Christian, and Gerhard P. Fettweis. "Energy-Efficient Link Adaptation with Shadow Fading." In 2011 IEEE Vehicular Technology Conference (VTC 2011-Spring). IEEE, 2011. http://dx.doi.org/10.1109/vetecs.2011.5956581.

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Reports on the topic "Adaptation energy"

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Sveinsson, Oli G. B. Energy in Iceland: Adaptation to Climate Change. Edited by Hiroshan Hettiarachchi. United Nations University Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES), 2016. http://dx.doi.org/10.53325/adwy8262.

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Moore, Winston, J. Enrique Chueca, Veronica R. Prado, Michelle Carvalho Metanias Hallack, and Laura Giles Álvarez. Energy Transition in Barbados: Opportunities for Adaptation of Energy Taxes to Mitigate Loss of Government Revenue. Inter-American Development Bank, November 2022. http://dx.doi.org/10.18235/0004534.

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Barbados, through its Barbados National Energy Policy (BNEP) 2019-2030, announced its commitment to achieving 100 percent renewable energy and carbon neutrality by 2030. This commitment creates an opportunity for the GoB to manage the impact of the transition toward renewable clean energy by introducing measures to transform the way revenue from energy is collected thereby avoiding unnecessary fiscal costs. The purpose of this study is to calculate the revenue gap derived from Barbados 2030 energy transition goal of having a revenue-neutral transition and propose and evaluate various policy measures that could help seize opportunities to close that gap. The simulation model suggests that the energy transition would result in an estimated BBD$105 million in revenue losses a year by following the BNEP. Such a reduction would create a significant fiscal gap that would need to be addressed through the introduction of new forms of taxes or changes to current taxes in order to adapt tax collection to revenue creation from the new clean energy economy. A wide range of tax policy options and issues surrounding their effective implementation were discussed such as: increased taxes on fossil fuels, a change in the VAT rate, mileage taxes on electric and hybrid vehicles, and taxes on renewable energy production. Each of these new tax approaches can help address the fiscal gap estimated above.
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Perera, Nipunika, Emily Boyd, Gill Wilkins, and Ruth Phillips Itty. Literature review on energy access and adaptation to climate change. Evidence on Demand, September 2015. http://dx.doi.org/10.12774/eod_cr.may2015.pereran.

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Maher, Ray, and Karen Hussey. An Adaptation Plan for the Energy, Mining and Manufacturing sectors and supporting entities. Brisbane,Australia: The University of Queensland, October 2019. http://dx.doi.org/10.14264/9e95ac7.

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Matthew Andrews, Spyridon Antonakopoulos, Andrea Francini, and Lisa Zhang. Recovery Act: Energy Efficiency of Data Networks through Rate Adaptation (EEDNRA) - Final Technical Report. Office of Scientific and Technical Information (OSTI), July 2011. http://dx.doi.org/10.2172/1018729.

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Adelekan, Ibidun, Anton Cartwright, Winston Chow, Sarah Colenbrander, Richard Dawson, Matthias Garschagen, Marjolijn Haasnoot, et al. Climate Change in Cities and Urban Areas: Impacts, Adaptation and Vulnerability. Indian Institute for Human Settlements, 2022. http://dx.doi.org/10.24943/supsv209.2022.

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The second volume in the Summary for Urban Policymakers (SUP) series, Climate Change in Cities and Urban Areas: Impacts, Adaptation and Vulnerability, offers a concise and accessible distillation of the IPCC Working Group II Report. Cities are places of high risks from climate change, resulting from the interaction of climate change hazards, the exposure of infrastructure, people and ecosystems, the vulnerability of exposed elements and communities, and the negative or unintended effects of responses to climate change to people and ecosystems. This report assesses the feasibility and effectiveness of different adaptation options but highlights that adaptation has limits and can even lead to maladaptation, triggering unintended effects which increase risk, emissions and lock-ins. It synthesises the latest evidence on the necessary urban-led transformation, as well as evidence on operationalizing the five simultaneous system transitions across land, coastal, ocean and freshwater ecosystems; cities, regions, and infrastructure; energy and industrial systems, accelerated by societal choices. Cities and urban areas have a critical role to play in the climate resilient development needed to meet goals of climate change, human wellbeing, and ecosystem health challenges.
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Zamuda, Craig D., Dan Bilello, Guenter Conzelmann, Christopher W. Avery, Ellen Mecray, Ann Satsangi, Vincent Tidwell, and Brian J. Walker. Chapter 4 : Energy Supply, Delivery, and Demand. Impacts, Risks, and Adaptation in the United States: The Fourth National Climate Assessment, Volume II. U.S. Global Change Research Program, 2018. http://dx.doi.org/10.7930/nca4.2018.ch4.

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Meiri, Noam, Michael D. Denbow, and Cynthia J. Denbow. Epigenetic Adaptation: The Regulatory Mechanisms of Hypothalamic Plasticity that Determine Stress-Response Set Point. United States Department of Agriculture, November 2013. http://dx.doi.org/10.32747/2013.7593396.bard.

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Our hypothesis was that postnatal stress exposure or sensory input alters brain activity, which induces acetylation and/or methylation on lysine residues of histone 3 and alters methylation levels in the promoter regions of stress-related genes, ultimately resulting in long-lasting changes in the stress-response set point. Therefore, the objectives of the proposal were: 1. To identify the levels of total histone 3 acetylation and different levels of methylation on lysine 9 and/or 14 during both heat and feed stress and challenge. 2. To evaluate the methylation and acetylation levels of histone 3 lysine 9 and/or 14 at the Bdnfpromoter during both heat and feed stress and challenge. 3. To evaluate the levels of the relevant methyltransferases and transmethylases during infliction of stress. 4. To identify the specific localization of the cells which respond to both specific histone modification and the enzyme involved by applying each of the stressors in the hypothalamus. 5. To evaluate the physiological effects of antisense knockdown of Ezh2 on the stress responses. 6. To measure the level of CpG methylation in the promoter region of BDNF in thermal treatments and free-fed, 12-hour fasted, and re-fed chicks during post-natal day 3, which is the critical period for feed-control establishment, and 10 days later to evaluate longterm effects. 7. The phenotypic effect of antisense “knock down” of the transmethylaseDNMT 3a. Background: The growing demand for improvements in poultry production requires an understanding of the mechanisms governing stress responses. Two of the major stressors affecting animal welfare and hence, the poultry industry in both the U.S. and Israel, are feed intake and thermal responses. Recently, it has been shown that the regulation of energy intake and expenditure, including feed intake and thermal regulation, resides in the hypothalamus and develops during a critical post-hatch period. However, little is known about the regulatory steps involved. The hypothesis to be tested in this proposal is that epigenetic changes in the hypothalamus during post-hatch early development determine the stress-response set point for both feed and thermal stressors. The ambitious goals that were set for this proposal were met. It was established that both stressors i.e. feed and thermal stress, can be manipulated during the critical period of development at day 3 to induce resilience to stress later in life. Specifically it was established that unfavorable nutritional conditions during early developmental periods or heat exposure influences subsequent adaptability to those same stressful conditions. Furthermore it was demonstrated that epigenetic marks on the promoter of genes involved in stress memory are altered both during stress, and as a result, later in life. Specifically it was demonstrated that fasting and heat had an effect on methylation and acetylation of histone 3 at various lysine residues in the hypothalamus during exposure to stress on day 3 and during stress challenge on day 10. Furthermore, the enzymes that perform these modifications are altered both during stress conditioning and challenge. Finally, these modifications are both necessary and sufficient, since antisense "knockdown" of these enzymes affects histone modifications, and as a consequence stress resilience. DNA methylation was also demonstrated at the promoters of genes involved in heat stress regulation and long-term resilience. It should be noted that the only goal that we did not meet because of technical reasons was No. 7. In conclusion: The outcome of this research may provide information for the improvement of stress responses in high yield poultry breeds using epigenetic adaptation approaches during critical periods in the course of early development in order to improve animal welfare even under suboptimum environmental conditions.
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Morse, P. D., R. J. H. Parker, W. E. Sladen, S L Smith, and H. B. O'Neill. Remote permafrost terrain mapping, Grays Bay-Yellowknife corridor, Northwest Territories and Nunavut. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330206.

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The new Grays Bay - Yellowknife corridor will provide transportation, energy, and telecommunications to northcentral Canada, and connect existing highway infrastructure to a deep-sea port on the Arctic Ocean. This infrastructure will improve access for exploration and development, and reduce operating costs in this mineral-rich region of the Northwest Territories and Nunavut, one of the biggest impediments to development in this region. Relatively little information on permafrost and ground ice conditions is available for most of the corridor. To fill this information gap, the Geological Survey of Canada's GEM-GeoNorth program is compiling permafrost and surficial geology information, mapping periglacial terrain features, and modelling ground ice conditions along the corridor. This poster presents the periglacial feature mapping component. Periglacial features are landforms associated with cold environments and typically contain permafrost. Permafrost, and its related ground ice, affect terrain sensitivity to climate change and surface disturbance. With development of this periglacial terrain and accelerated climate warming in the north, communities, planners, and regulators require this information to make informed decisions on how and where to build and manage environmentally sustainable and climate change-resilient infrastructure, and determine best adaptation strategies.
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Boisclair, Yves R., and Arieh Gertler. Development and Use of Leptin Receptor Antagonists to Increase Appetite and Adaptive Metabolism in Ruminants. United States Department of Agriculture, January 2012. http://dx.doi.org/10.32747/2012.7697120.bard.

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Objectives The original project had 2 major objectives: (1) To determine the effects of centrally administered leptin antagonist on appetite and adaptive metabolism in the sheep; (2) To develop and prepare second-generation leptin antagonists combining high binding affinity and prolonged in vivo half-life. Background Periods of suboptimal nutrition or exaggerated metabolic activity demands lead to a state of chronic energy insufficiency. Ruminants remain productive for a surprisingly long period of time under these circumstances by evoking adaptations sparing available energy and nutrients. The mechanism driving these adaptations in ruminant remains unknown, but could involve a reduction in plasma leptin, a hormone acting predominantly in the brain. In laboratory animals, reduced leptin signaling promotes survival during nutritional insufficiency by triggering energy sparing adaptations such as reduced thyroid hormone production and insulin resistance. Our overall hypothesis is that similar adaptations are triggered by reduced leptin signaling in the brain of ruminants. Testing of this hypothesis in ruminants has not been possible due to inability to block the actions of endogenous leptin and access to ruminant models where leptin antagonistic therapy is feasible and effective. Major achievements and conclusions The Israeli team had previously mutated 3 residues in ovine leptin, with no effect on receptor binding. This mutant was renamed ovine leptin antagonist (OLA) because it cannot activate signaling and therefore antagonizes the ability of wild type leptin to activate its receptor. To transform OLA into an effective in vivo antagonist, the Israeli made 2 important technical advances. First, it incorporated an additional mutation into OLA, increasing its binding affinity and thus transforming it into a super ovine leptin antagonist (SOLA). Second, the Israeli team developed a method whereby polyethylene glycol is covalently attached to SOLA (PEG-SOLA) with the goal of extending its half-life in vivo. The US team used OLA and PEG-SOLA in 2 separate animal models. First, OLA was chronically administered directly into the brain of mature sheep via a cannula implanted into the 3rdcerebroventricule. Unexpectedly, OLA had no effect of voluntary feed intake or various indicators of peripheral insulin action but reduced the plasma concentration of thyroid hormones. Second, the US team tested the effect of peripheral PEG-SOLA administration in an energy sensitive, rapidly growing lamb model. PEG-SOLA was administered for 14 consecutive days after birth or for 5 consecutive days before sacrifice on day 40 of life. Plasma PEG-SOLA had a half-life of over 16 h and circulated in 225- to 288-fold excess over endogenous leptin. PEG-SOLA administration reduced plasma thyroid hormones and resulted in a higher fat content in the carcass at slaughter, but had no effects on feed intake, body weight, plasma glucose or insulin. These results show that the team succeeded in developing a leptin antagonist with a long in vivo half-life. Moreover, in vivo results show that reduced leptin signaling promotes energy sparing in ruminants by repressing thyroid hormone production. Scientific and agricultural implications The physiological role of leptin in ruminants has been difficult to resolve because peripheral administration of wild type leptin causes little effects. Our work with leptin antagonists show for the first time in ruminants that reduced leptin signaling induces energy sparing mechanisms involving thyroid hormone production with little effect on peripheral insulin action. Additional work is needed to develop even more potent leptin antagonists, to establish optimal administration protocols and to narrow down phases of the ruminant life cycle when their use will improve productivity.
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