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Dissertations / Theses on the topic 'Intelligent responses'

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Published: 4 June 2021
Last updated: 31 January 2023

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1

Mantoro, Teddy, and teddy mantoro@anu edu au. "Distributed Support for Intelligent Environments." The Australian National University. Faculty of Engineering and Information Technology, 2006. http://thesis.anu.edu.au./public/adt-ANU20070123.150814.

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This thesis describes research on methods for Ubiquitous/Pervasive Computing to better suit users in an Intelligent Environment. The approach is to create and equip a computing environment, such as our Active Office, with technologies that can identify user needs and meet these need in a timely, efficient and unobtrusive manner.¶ The critical issues in the Intelligent Environment are how to enable transparent, distributed computing to allow continued operation across changing circumstances and how to exploit the changing environment so that it is aware of the context of user location, the collection of nearby people and objects, accessible devices and changes to those objects over time.¶ Since the Intelligent Environment is an environment with rapid and rich computing processing, the distributed context processing architecture (DiCPA) was developed to manage and respond to rapidly changing aggregation of sensor data. This architecture is a scalable distributed context processing architecture that provides: 1. continued operation across changing circumstances for users, 2. the collection of nearby people and objects, 3. accessible devices and 4. the changes to those objects over time in the environment. The DiCPA approach focuses on how the Intelligent Environment provides context information for user location, user mobility and the user activity model. Users are assumed mobile within the Intelligent Environment and can rapidly change their access to relevant information and the availability of communications and computational resources.¶ Context-Aware Computing is a new approach in software engineering for Intelligent Environment. It is an approach in the design and construction of a context-aware application that exploits rapid changes in access to relevant information and the availability of communication and computing resources in the mobile computing environment. The goal of Context-Aware Computing is to make user interaction with the computer easier in the smart environment where technology is spread throughout (pervasive), computers are everywhere at the same time (ubiquitous) and technology is embedded (ambient) in the environment. Context-aware applications need not be difficult, tedious or require the acquisition of new skills on the part of the user. They should be safe, easy, simple to use and should enable new functionality without the need to learn new technology. They should provide relevant information and a simple way for a user to manage.¶ The Intelligent Environment requires a context-aware application to improve its efficiency and to increase productivity and enjoyment for the user. The context awareness mechanism has four fundamental cores i.e. identity (who), activity (what), location (where) and timestamp (when). Based on DiCPA architecture, the model of user location (where), user mobility (where), user activity (what) and Intelligent Environment response (what) were developed. Prototypes were also developed to proof the Context-Aware Computing concept in the Intelligent Environment.¶ An Intelligent Environment uses the multi-disciplinary area of Context-Aware Computing, which combines technology, computer systems, models and reasoning, social aspects, and user support. A “good quality” project for Context-Aware Computing requires core content and provides iterative evaluation processes, which has two types of iteration: design and product iteration of the evaluation. The aim of the development of an evaluation program in Context-Aware Computing is to determine what to test, how to test and the appropriate metrics to use. This work presents the metrics for a good quality project in the Context-Aware Computing area, which is followed by the evaluation of the prototypes of this work.
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Read, Jason R. "Your Computer is Watching You: Intelligent Agents and Social Facilitation." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000156.

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3

Hooper, Emmanuel. "Intelligent detection and response strategies for network infrastructure attacks." Thesis, Royal Holloway, University of London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441276.

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4

Charvat, Robert C. "Surveillance for Intelligent Emergency Response Robotic Aircraft (SIERRA Project)." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337888115.

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5

Rao-Chakravorti, Tarit. "Strategies and responses to intelligence failure : an organizational view." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117989.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references.
In the years following September 11th, the United States Intelligence Community has sought to understand the causes of intelligence failure that allowed such an attack to be carried out. The proposed causes of intelligence failure are myriad - from breakdowns in analytic independence, to a failure to appropriately prioritize threats. Understanding the causes of failure is critical to improving the process by which the Intelligence Community anticipates and responds to harmful actors. This paper reviews the extant literature on intelligence failure, and examines the the challenges most prioritized by the Intelligence Community, as reflected through the 2015 reorganization of the Central Intelligence Agency. The study breaks down the strategic and environmental perspective that is reflected in the new organizational structure at the Agency, and seeks to highlight the strengths and weaknesses of the new structure. Finally, the study closes by introducing three analytic techniques that have been employed in limited use by the Intelligence Community, but hold promise for improving anticipatory analysis and preventing intelligence failure.
by Tarit Rao-Chakravorti.
M.B.A.
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6

Kanoun, Wael. "Intelligent risk-aware system for activating and deactivating policy-based response." Télécom Bretagne, 2011. http://www.theses.fr/2011TELB0165.

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The growth of information and critical systems in size and complexity, combined with the steady increase in attacks’ frequency and sophistication, renders current response systems obsolete. The system can be targeted by different but simultaneous attacks, which require the activation of different responses. Furthermore, the appropriate response action for a given attack can have side effects: (i) intrinsic cost for the system or (ii) allowing or facilitating the execution of other attacks. Thus, intelligent response systems are certainly needed in order to enhance the response procedure in automated systems, or to assist the administrators in the process of taking the appropriate response decision. While the majority of existing response models is cost-oriented, we adopt a more general perspective: risk-awareness. Conformably to the definition of risk, we consider jointly the impact and the success likelihood of ongoing attacks, during the response selection procedure. First, we propose a response workflow with two distinctive levels: tactical response and strategic response. Tactical response is composed of simple countermeasures, which have a limited scope in the system. They are generally associated with an ongoing attack’s occurrence. On the other hand, strategic response is specified using a formal policy language (Organization-based Access Control - OrBAC), and deployed in the system to counter a major threat. Second, we focus on tactical response and propose a risk-aware framework. When an ongoing attack is detected, we assess dynamically the overall risk of the attack, by combining mainly its potential impact with its success likelihood. Then, candidate countermeasures are prioritized with respect to their effectiveness in reducing the overall risk. Afterward, we focus on the success likelihood factor, by proposing a dynamic model to assess this metric, which considers the progress’ state of the ongoing attack and the system’s state. Third, we proceed by presenting a risk-aware activation and deactivation framework for strategic response. A strategic response (i. E. Policy-based) is activated and maintained in the system, as long as the dynamic risk of an ongoing attack exceeds the cost of the response. Contrary to other response systems, we consider the deactivation of the response, which is performed when the attack’s risk drops, or when the cost of the response is too high. In this thesis, a VoIP service was selected to demonstrate our proposal. The implementation of the risk-aware tactical response module is mainly based on the CRIM prototype, while we used the MotOrBAC prototype to specify, activate and deactivate strategic response. We believe that a risk-aware approach can offer to the administrator or to the automated response system, a more comprehensive view on the ongoing attacks, and goes beyond by prioritizing candidate responses with respect to their effectiveness in reducing the overall risks
La croissance de l'échelle des systèmes d'information critiques, combinée à l'augmentation continue de la fréquence et de la sophistication des attaques, rend les systèmes de réponses classiques inadéquats. Le système peut être la cible de plusieurs attaques simultanées, qui nécessitent l'activation de réponses différentes et contradictoires. En outre, une réponse peut avoir des effets collatéraux, comme (i) induire un coût intrinsèque sur le système, (ii) permettre et faciliter l'exécution d'autres attaques. Ainsi, les systèmes de réponse doivent être conçus d'une manière intelligente, pour optimiser l'activation des réponses appropriées, soit pour les automatiser, soit pour fournir une assistance à la décision aux administrateurs. Alors que la majorité des modèles de réponses existants considère seulement le coût des attaques et des réponses, nous adoptons une perspective plus générale basée sur le risque. Conformément à la définition du risque, nous considérons conjointement l'impact et la vraisemblance de succès des attaques en cours dans le processus de sélection de réponse. D'abord, nous proposons un workflow qui permet de réagir sur deux plans distincts, sur le plan tactique, et sur le plan stratégique. La réponse tactique est composée des contremesures élémentaires à portées limitées dans le système. Elles sont généralement liées à l'occurrence d'attaque en cours. En revanche, la réponse stratégique est spécifiée avec un langage formel qui permet d'exprimer des politiques de sécurité. Elles sont déployées globalement dans le système pour des menaces majeures. Ensuite, nous proposons un modèle pour la réponse tactique, basé sur une évaluation de risques dynamique. Quand une attaque en cours est détectée, nous évaluons le risque global en combinant l'impact potentiel avec la vraisemblance de succès de l'attaque. Les contremesures seront ordonnées par rapport à leur efficacité à réduire le risque global. Nous mettons l'accent sur le facteur de vraisemblance de succès, et nous proposons un modèle dynamique pour évaluer ce paramètre, en tenant compte du progrès de l'attaque en cours et l'état du système. Enfin, nous présentons un framework basé sur les risques pour l'activation et la désactivation de la réponse stratégique. Cette réponse est activée et déployée quand le risque de l'attaque en cours dépasse le coût cumulé de la réponse, et elle est maintenue tant que le risque reste présent. Contrairement aux systèmes existants, nous considérons la désactivation d'une réponse qui est effectuée lorsque le risque de l'attaque décroît, ou dés lors que le coût de la réponse devient important. Dans cette thèse, un service VoIP a été choisi pour valider nos propositions, tout en respectant les contraintes opérationnelles et de sécurité
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Estebanez, Camarena Monica. "PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29881.

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Forest fires are a pervasive and serious problem. Besides loss of life and extensive environmental damage, fires also result in substantial economic losses, not to mention property damage, injuries, displacements and hardships experienced by the affected citizens. This project proposes a low-cost intelligent hyperspectral 3U CubeSat for the production of fire risk and burnt area maps. It applies Machine Learning algorithms to autonomously process images and obtain final data products on-board the satellite for direct transmission to users on the ground. Used in combination with other services such as EFFIS or AFIS, the system could considerably reduce the extent and consequences of forest fires.
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Li, Mengtong. "An intelligent flood evacuation model based on deep learning of various flood scenarios." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263634.

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9

Nourjou, Reza. "GIS-based Intelligent Assistant Agent for Supporting Decisions of Incident Commander in Disaster Response." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188867.

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10

Pinelis, Lev. "The application of Intelligent Transportation Systems (ITS) and Information Technology systems to disaster response." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37972.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.
Includes bibliographical references (p. 195-199).
Disaster response operations during recent terrorist attacks and natural disasters have been a cause for concern. Lack of planning is one source of difficulties with these operations, but even if a perfect plan is agreed upon before a disaster occurs, it is unlikely that disaster response operations will be successful without better technological support. For this thesis, three prominent and recent disaster cases are analyzed in order to better understand current disaster response problems that result from insufficient Information Technology (IT) and Intelligent Transportation Systems (ITS) support. After presenting this analysis, we provide results of a technology review, whose goal was to search for emerging technologies that could perform better during a disaster response than the standard, currently available systems. .
(cont.) Using these emerging technologies, a Disaster Response Support System (DRSS) is proposed that would provide improved capability, interoperability, and robustness compared to the currently available support systems. Finally, potential barriers to deployment of a system such as the DRSS are discussed and ways in which these barriers can be overcome are suggested
by Lev Pinelis.
S.M.
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11

McRorie, Margaret. "Response time and general mental ability." Thesis, Queen's University Belfast, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.483465.

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Ouzts, Sandye Michelle. "Response Processes Validity of the Stanford Binet Intelligence Scales, Fifth Edition." NCSU, 2007. http://www.lib.ncsu.edu/theses/available/etd-11042007-185438/.

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This study examined the evidence for the response process validity of the Stanford Binet, Fifth Edition (Roid, 2003a). Students from introductory psychology classes (n = 101) were randomly assigned to one of five conditions defined by the five cognitive processes the SB5 intends to measure. Participants responded to items from the Verbal and Nonverbal Scale subtests for their condition. Participants explained how they solved the problems and rated the degree to which they used each of the cognitive processes and verbal mediation. Graduate student raters independently assigned participants? descriptions into categories representing the cognitive process and level of verbal mediation. Results generally provide strong evidence for the response processes validity of the SB5, as well as the measures used in this study.
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Mallios, Stavros. "Virtual Doctor: An Intelligent Human-Computer Dialogue System for Quick Response to People in Need." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1526902582901019.

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14

Madeira, Victor Pedro. "British official and intelligence responses to Soviet subversion against the United Kingdom, 1917-1929." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611440.

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15

Celik, Berk. "Coordination mechanisms for smart homes electric energy management through distributed resource scheduling with demand response programs." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCA013/document.

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La modernisation des réseaux électriques via ce que l'appelle aujourd'hui les réseaux intelligents (ou smart grids) promet des avancées pour permettre de faire face à une augmentation de la demande mondiale ainsi que pour faciliter l'intégration des ressources décentralisées. Grâce à des moyens de communication et de calcul avancés, les smart grids offrent de nouvelles possibilités pour la gestion des ressources des consommateurs finaux, y compris pour de petits éléments comme de l'électroménager. Cependant, ce type de gestion basée sur des décisions prises indépendamment peuvent causer des perturbations tels qu'un rebond de consommation, ou des instabilités sur le réseau. La prise en compte des interactions entre les décisions de gestion énergétique de différentes maisons intelligentes est donc une problématique naissante dans les smart grids. Cette thèse vise à évaluer l'impact potentiel de mécanismes de coordination entre consommateurs résidentiels au niveau de quartiers, et ce à travers trois études complémentaires. Tout d'abord, une première stratégie pour la gestion coordonnée de maisons est proposée avec l'objectif d'augmenter l'utilisation locale d'énergie renouvelable à travers la mise en place d'échanges d'énergie électrique entre voisins. Les participants reçoivent en échange une compensation financière. L'algorithme de gestion est étudié dans une configuration centralisée et une configuration décentralisée en faisant appel au concept de système multi-agents, chaque maison étant représentée par un agent. Les résultats de simulation montrent que les deux approches sont efficaces pour augmenter la consommation locale d'énergie renouvelable et réduire les coûts énergétiques journaliers des consommateurs. Bien que l'approche décentralisée retourne des résultats plus rapidement, l'approche centralisée a une meilleure performance concernant les coûts. Dans une seconde étude, deux algorithmes de gestion énergétiques à J-1 sont proposés pour un quartier résidentiel. Un modèle de tarification dynamique est utilisé, où le prix dépend de la consommation agrégée du quartier ainsi que d'une forme de tarification heures creuses-heures pleines. L'objectif est ici de concevoir un mécanisme de coordination plus avancé (par rapport au précédent), en permettant des échanges d'énergie renouvelable résiduelle au sein du quartier. La performance des algorithmes est étudiée sur une période d'une journée puis d'une année, en prenant ou non en compte les erreurs de prévision. D'après les résultats de simulation, les deux algorithmes proposés montrent de meilleurs performances que les méthodes de référence (sans contrôle, et algorithme égoïste), même en considérant les erreurs de prévision. Enfin, dans une troisième étude, l'impact de l'introduction de production photovoltaïque résidentielle sur la performance d'un agrégateur est évaluée, dans une configuration centralisée. L'agrégateur interagit avec le marché spot et le gestionnaire de réseau, de façon à proposer un nouveau modèle de tarification permettant d'influencer les consommateurs à agir sur leur consommation. Les résultats de simulation montrent quand le taux de pénétration de photovoltaïque résidentiel augmente, le profit de l'agrégateur diminue, du fait de l'autoconsommation dans le quartier
Grid modernization through philosophies as the Smart Grid has the potential to help meet the expected world increasing demand and integrate new distributed generation resources at the same time. Using advanced communication and computing capabilities, the Smart Grid offers a new avenue of controlling end-user assets, including small units such as home appliances. However, with such strategies, decisions taken independently can cause undesired effects such as rebound peaks, contingencies, and instabilities in the network. Therefore, the interaction between the energy management actions of multiple smart homes is a challenging issue in the Smart Grid. Under this purpose, in this work, the potential of coordination mechanisms established among residential customers at the neighborhood level is evaluated through three studies. Firstly, coordinative home energy management is presented, with the aim to increase local renewable energy usage in the neighborhood area by establishing energy trading among smart homes, which are compensated by incentives. The control algorithm is realized in both centralized and decentralized manners by deploying a multi-agent system, where neighborhood entities are modeled as agents. Simulations results show that both methods are effective on increasing local renewable energy usage and decreasing the daily electricity bills of customers. However, while the decentralized approach gives results in shorter time, the centralized approach shows a better performance regarding costs. Secondly, two decentralized energy management algorithms are proposed for day-ahead energy management in the neighborhood area. A dynamic pricing model is used, where price is associated to the aggregated consumption and grid time-of-use scheme. The objective of the study is to establish a more advanced coordination mechanism (compared to previous work) with residual renewable energy is shared among smart homes. In this study, the performance of the algorithms is investigated with daily and annual analyses, with and without considering forecasting errors. According to simulations results, both coordinative control models show better performance compared to baseline and selfish (no coordination) control cases, even when considering forecasting errors. Lastly, the impact of photovoltaic systems on a residential aggregator performance (in a centralized approach) is investigated in a neighborhood area. In the proposed model, the aggregator interacts with the spot market and the utility, and proposes a novel pricing scheme to influence customers to control their loads. Simulation results show that when the penetration level of residential photovoltaics (PV) is increased, the aggregator profit decreases due to self-consumption ability with PV in the neighborhood
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Liu, Yukang. "Virtualized Welding Based Learning of Human Welder Behaviors for Intelligent Robotic Welding." UKnowledge, 2014. http://uknowledge.uky.edu/ece_etds/51.

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Combining human welder (with intelligence and sensing versatility) and automated welding robots (with precision and consistency) can lead to next generation intelligent welding systems. In this dissertation intelligent welding robots are developed by process modeling / control method and learning the human welder behavior. Weld penetration and 3D weld pool surface are first accurately controlled for an automated Gas Tungsten Arc Welding (GTAW) machine. Closed-form model predictive control (MPC) algorithm is derived for real-time welding applications. Skilled welder response to 3D weld pool surface by adjusting the welding current is then modeled using Adaptive Neuro-Fuzzy Inference System (ANFIS), and compared to the novice welder. Automated welding experiments confirm the effectiveness of the proposed human response model. A virtualized welding system is then developed that enables transferring the human knowledge into a welding robot. The learning of human welder movement (i.e., welding speed) is first realized with Virtual Reality (VR) enhancement using iterative K-means based local ANFIS modeling. As a separate effort, the learning is performed without VR enhancement utilizing a fuzzy classifier to rank the data and only preserve the high ranking “correct” response. The trained supervised ANFIS model is transferred to the welding robot and the performance of the controller is examined. A fuzzy weighting based data fusion approach to combine multiple machine and human intelligent models is proposed. The data fusion model can outperform individual machine-based control algorithm and welder intelligence-based models (with and without VR enhancement). Finally a data-driven approach is proposed to model human welder adjustments in 3D (including welding speed, arc length, and torch orientations). Teleoperated training experiments are conducted in which a human welder tries to adjust the torch movements in 3D based on his observation on the real-time weld pool image feedback. The data is off-line rated by the welder and a welder rating system is synthesized. ANFIS model is then proposed to correlate the 3D weld pool characteristic parameters and welder’s torch movements. A foundation is thus established to rapidly extract human intelligence and transfer such intelligence into welding robots.
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Mepham, Kevin Douglas. "Dynamic Cyber-Incident Response." Thesis, Brunel University, 2018. http://bura.brunel.ac.uk/handle/2438/17016.

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Cyber-Incident Response (or, as it was initially called, Computer Incident response) has traditionally followed cyclic models such as the SEI Incident Response Cycle and SANS models, which aim to detect and identify incidents, stop, contain and eradicate them. Using the knowledge gained from the incidents, these models then advocate improving the capabilities to defend against subsequent attacks of the same nature. Although some later versions of these models, including the NIST model proposed in 2012, have nested the cycles to provide a more reactive response, they are neither demonstrably empirically founded nor do they represent the interests of all stakeholders within an organisation. This research addresses cyber-incident response from a broader perspective, looking from the viewpoint of a cross-functional set of stakeholders and ensures that incident response decisions are sensitive to temporal priorities, taken from an organisation-wide perspective and provide a range of responses rather than only containing and eradicating an incident. During this research, principal component analysis and structural equation modelling were used to develop the Dynamic Cyber Incident Response Model (DCIRM) which resulted in the development of a fielded prototype tool, the Cyber Operations Support Tool (COST). COST was then subjected to both controlled experimentation and operational validation. Empirical analysis of both of these activities confirmed the utility and effectiveness of the COST and the underlying DCIRM. The COST has since been used to train military cyber operational planners. The novel areas of this research are the dynamic nature of DCIRM which takes account of the changing asset values based on the point in the business/mission cycle, the trade-off between risk to the organisation and gathering intelligence during an incident, the flexibility in response options within organisational constraints and the abstraction of the information to allow a non-cyber specialist to make an appropriate incident response decision.
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18

Fulhu, Miraz Mohamed. "Active human intelligence for smart grid (AHISG) : feedback control of remote power systems." Thesis, University of Canterbury. Mechanical Engineering, 2014. http://hdl.handle.net/10092/9582.

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Fuel supply issues are a major concern in remote island communities and this is an engineering field that needs to be analyzed in detail for transition to sustainable energy systems. Power generation in remote communities such as the islands of the Maldives relies on power generation systems primarily dependent on diesel generators. As a consequence, power generation is easily disrupted by factors such as the delay in transportation of diesel or rises in fuel price, which limits shipment quantity. People living in remote communities experience power outages often, but find them just as disruptive as people who are connected to national power grids. The use of renewable energy sources could help to improve this situation, however, such systems require huge initial investments. Remote power systems often operate with the help of financial support from profit-making private agencies and government funding. Therefore, investing in such hybrid systems is uncommon. Current electrical power generation systems operating in remote communities adopt an open loop control system, where the power supplier generates power according to customer demand. In the event of generation constraints, the supplier has no choice but to limit the power supplied and this often results in power cuts. Most smart grids that are being established in developed grids adopt a closed loop feedback control system. The smart grids integrated with demand side management tools enable the power supplier to keep customers informed about their daily energy consumption. Electric utility companies use different demand response techniques to achieve peak energy demand reduction by eliciting behavior change. Their feedback information is commonly based on factors such as cost of energy, environmental concerns (carbon dioxide intensity) and the risk of black-outs due to peak loads. However, there is no information available on the significant link between the constraints in resources and the feedback to the customers. In resource-constrained power grids such as those in remote areas, there is a critical relationship between customer demand and the availability of power generation resources. This thesis develops a feedback control strategy that can be adopted by the electrical power suppliers to manage a resource-constrained remote electric power grid such that the most essential load requirements of the customers are always met. The control design introduces a new concept of demand response called participatory demand response (PDR). PDR technique involves cooperative behavior of the entire community to achieve quality of life objectives. It proposes the idea that if customers understand the level of constraint faced by the supplier, they will voluntarily participate in managing their loads, rather than just responding to a rise in the cost of energy. Implementation of the PDR design in a mini-grid consists of four main steps. First, the end-use loads have to be characterized using energy audits, and then they have to be classified further into three different levels of essentiality. Second, the utility records have to be obtained and the hourly variation factors for the appliances have to be calculated. Third, the reference demand curves have to be generated. Finally, the operator control system has to be designed and applied to train the utility operators. A PDR case study was conducted in the Maldives, on the island of Fenfushi. The results show that a significant reduction in energy use was achieved by implementing the PDR design on the island. The overall results from five different constraint scenarios practiced on the island showed that during medium constrained situations, load reductions varied between 4.5kW (5.8%) and 7.7kW (11.3%). A reduction of as much as 10.7kW (15%) was achieved from the community during a severely constrained situation.
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野口, 裕之, and Hiroyuki Noguchi. "識別性検査 A-1001 の「知覚の速さ・正確さ」領域の IRT 尺度化." 名古屋大学教育学部, 1995. http://hdl.handle.net/2237/3956.

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20

Robson, Thomas A. "A burning need to know the use of open source intelligence In the fire service /." Thesis, Monterey, Calif. : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Mar/09Mar%5FRobson.pdf.

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Thesis (M.A. in Security Studies (Homeland Security and Defense))--Naval Postgraduate School, March 2009.
Thesis Advisor(s): Bergin, Richard ; Simeral, Robert. "March 2009." Description based on title screen as viewed on April 24, 2009. Author(s) subject terms: Fire, Intelligence, Firefighter Training, First Responders, Fire Service Intelligence, Open Source Intelligence, Fire Service. Includes bibliographical references (p. 77-79). Also available in print.
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Braseth, Jørgen. "Automatic Configuration for Collective Construction : Automatic parameter setting for response threshold agents in collective construction." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8748.

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22

Birenbaum, Ingrid Leuchtenmueller. "Deployment and strategies for application of intelligent transportation system elements for contra flow hurricane evacuation and emergency response." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000611.

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23

Wagener, Jeanie P. "The correlation between correct verbal and nonverbal responses on an intelligence test and expressive language test score." PDXScholar, 1991. https://pdxscholar.library.pdx.edu/open_access_etds/4241.

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The purpose of this study was to examine the relationship between verbal and nonverbal indices of intelligence from an infant development scale given at approximately two years of age with scores on an expressive language test administered to the same children two years later. The questions this study sought to answer were: (1) is there a difference between the number of verbal and nonverbal items passed at 18-34 months by a group of normal children and a group of late talkers, (2) is there a significant relationship between correct verbal and nonverbal responses on an inf ant development test and scores on an expressive language test two years later in normal children and late talkers, (3) is there a significant relationship between correct verbal receptive items on an infant development test and scores on an expressive language test two years later in normal children and late talkers, and (4) is there a significant relationship between correct expressive responses on an infant development test and expressive scores two years later in the normal children and the group of later talkers.
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Verney, Steven P. "Pupillary responses index : information processing efficiency across cultures /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2000. http://wwwlib.umi.com/cr/ucsd/fullcit?p9992386.

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Yamaoki, Yudai. "The development of intelligent ribozyme and RNA aptamer whose activities switch on in response to K⁺via quadruplex formation." Kyoto University, 2016. http://hdl.handle.net/2433/204592.

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Reavey, Peter. "A Developmental Investigation of Preschoolers' Delay Ability: The Contributions of Age, Gender, Intelligence, and Socioeconomic Status." Fogler Library, University of Maine, 2004. http://www.library.umaine.edu/theses/pdf/ReaveyP2004.pdf.

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野口, 裕之, and Hiroyuki NOGUCHI. "パーソナル・コンピュータをベースとする識別性検査A-1001用項目プールの作成." 名古屋大学教育学部, 1993. http://hdl.handle.net/2237/3906.

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Yankov, Georgi P. "Faking on Personality Tests: The Relationship Between Intelligence and Personality." Bowling Green State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1555345423814293.

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Nguyen, Daniel. "EXAMINING THE ROLE OF JOB FAMILIARITY, COGNITIVE ABILITY, AND EMOTIONAL INTELLIGENCE IN FAKING SUCCESS FOR PERSONALITY ASSESSMENT." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/dissertations/487.

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Personality tests are often utilized in employment selection. Their wide use may be attributed to various studies which suggest that personality is related to job performance. Although personality is widely utilized in various assessment contexts including but not limited to personnel selection settings, both researcher and practitioners continue to criticize the use of measures due to faking behavior or response distortion. Furthermore, these criticisms are warranted because laboratory studies have consistently found that when instructed, respondents are able to alter their scores in order to appear more desirable. Additionally, there is also conforming evidence from field studies which suggest that 20 - 30% of real-world applicants fake in order to gain a competitive advantage in being hired. Faking studies generally define successful faking as the obtainment of the highest scores possible. This study used a recent and alternative conceptualization of successful faking. More specifically, faking is defined as successful if an applicant is able to match his or her responses on a personality test to the perception of what subject matter experts would consider critical traits for success to that job. Psychology and Business students were assigned to an `honest' or `faking' condition and asked to complete a personality test. Students in the honest condition were instructed to describe themselves honest, while students in the faking condition were instructed to describe themselves in the context of applying for a fictional customer service representative position. Additionally, all students completed a measure of emotional intelligence and cognitive ability. Subject matter experts were then surveyed on what they thought was the ideal characteristics for the fictitious position. This study found that business students who were given instructions to fake were able to fake better (obtain a greater match) than psychology students instructed to fake. Furthermore, individual characteristics such as job familiarity, cognitive ability, and emotional intelligence were examined in relation to faking success. Results indicated that only emotional intelligence was predictive of similarity. Moreover, the subscales of use of emotions and regulation of emotions were predicative of similarity. Finally, the limitations of the study and implications of results are presented and discussed further.
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Rogers, Lucy Margaret. "The relevance of locus of control, emotional intelligence, coping resources, and coping responses, to how individuals manage anxiety /." Title page, table of contents and abstract only, 2004. http://web4.library.adelaide.edu.au/theses/09ARPS/09arpsr7241.pdf.

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Ameri, Sianaki Omid. "Intelligent Decision Support System for Energy Management in Demand Response Programs and Residential and Industrial Sectors of the Smart Grid." Thesis, Curtin University, 2015. http://hdl.handle.net/20.500.11937/1358.

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This PhD thesis addresses the complexity of the energy efficiency control problem in residential and industrial customers of Smart electrical Grid, and examines the main factors that affect energy demand, and proposes an intelligent decision support system for applications of demand response. A multi criteria decision making algorithm is combined with a combinatorial optimization technique to assist energy managers to decide whether to participate in demand response programs or obtain energy from distributed energy resources.
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Whorton, Skyler. "Can a computer adaptive assessment system determine, better than traditional methods, whether students know mathematics skills?" Digital WPI, 2013. https://digitalcommons.wpi.edu/etd-theses/224.

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Schools use commercial systems specifically for mathematics benchmarking and longitudinal assessment. However these systems are expensive and their results often fail to indicate a clear path for teachers to differentiate instruction based on students’ individual strengths and weaknesses in specific skills. ASSISTments is a web-based Intelligent Tutoring System used by educators to drive real-time, formative assessment in their classrooms. The software is used primarily by mathematics teachers to deliver homework, classwork and exams to their students. We have developed a computer adaptive test called PLACEments as an extension of ASSISTments to allow teachers to perform individual student assessment and by extension school-wide benchmarking. PLACEments uses a form of graph-based knowledge representation by which the exam results identify the specific mathematics skills that each student lacks. The system additionally provides differentiated practice determined by the students’ performance on the adaptive test. In this project, we describe the design and implementation of PLACEments as a skill assessment method and evaluate it in comparison with a fixed-item benchmark.
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Hart, Breanna N. "Noise Separation in Frequency Following Responses through Non-negative Matrix Factorizations." Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou16274201269135.

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Hart, Breanna N. "Noise Separation in Frequency Following Responses through Non-negative Matrix Factorizations." Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou16274201269135.

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Murphy, Raegan. "Exploring a meta-theoretical framework for dynamic assessment and intelligence." Thesis, Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-09302007-162044.

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Besançon, Mathieu. "Modèles biniveaux pour la réponse de la demande dans les réseaux électriques intelligents." Thesis, Centrale Lille Institut, 2020. http://www.theses.fr/2020CLIL0022.

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Cette thèse étudie l'optimisation bi-niveau, certaines variantes et une application à la tarification dans les réseaux électriques intelligents.Les problèmes d'optimisation bi-niveaux sont une sous-catégorie de problèmes d'optimisation mathématique contrainte où un deuxième problème ou deuxième niveau estprésent dans les contraintes.Nous étudions leur application à un tariff variable en temps et en niveau de consommation, permettant à un fournisseur d'énergie d'exploiter la flexibilité de consommateurs par des incitations économiques.Une généralisation des problèmes bi-niveaux est également proposée, dans laquelle le deuxième niveau peut sélectionner une solution qui n'est pas optimale contrairement au modèle bi-niveau classique mais quasi-optimale.Résoudre cette variante de problèmes bi-niveaux demande l'anticipation de cette déviation de la solution de deuxième niveau de l'optimalité et garantit qu'une solution au problème bi-niveau sera réalisable malgré cette déviation
This thesis focuses on bilevel optimization, some variants, and an application to optimal price-setting in smart power grids.Bilevel optimization problems are a special subclass of constrained mathematical optimization problems where another problem, the lower level is embedded in the constraints.We consider their application to the optimal pricing of a Time-and-Level-of-Use Demand Response program, allowing an electricity supplier to leverage the flexibility of users through an economic incentive.A generalized form of bilevel optimization is also proposed where the lower level may pick a solution that is not optimal as typically assumed but near-optimal, that is feasible and within a fixed tolerance from an optimal solution.Solving this variant of bilevel optimization requires anticipation of the deviation from optimality and a guarantee that a solution remains feasible even with this deviation
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Grouskay, Michael. "The State Response to the Discovery of a Peacetime Covert Operation." Scholarship @ Claremont, 2017. http://scholarship.claremont.edu/cmc_theses/1588.

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This paper provides a theoretical model of the state response to the discovery of a peacetime covert operation. Building upon Stephen Krasner's theory of Westphalian sovereignty, the argument is presented that the direct and covert application of force constitutes a violation of national sovereignty. Taking the state's monopoly on control and authority to be the basis of national sovereignty, this paper shows that states will respond most substantively to the discovery of a covert operation when authority is challenged.
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Schwartz, Megan Lindsay. "Emotional intelligence in hypercrisis: A content analysis of World Trade Center leadership response to the terrorist attacks of September 11, 2001." Wright State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1368188438.

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39

Botros, Andrew Computer Science &amp Engineering Faculty of Engineering UNSW. "The application of machine intelligence to cochlear implant fitting and the analysis of the auditory nerve response." Awarded By:University of New South Wales. Computer Science & Engineering, 2010. http://handle.unsw.edu.au/1959.4/44707.

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Effective cochlear implant fitting (or programming) is essential for providing good hearing outcomes, yet it is a subjective and error-prone task. The initial objective of this research was to automate the procedure using the auditory nerve electrically evoked compound action potential (the ECAP) and machine intelligence. The Nucleus?? cochlear implant measures the ECAP via its Neural Response Telemetry (NRT™) system. AutoNRT™, a commercial intelligent system that measures ECAP thresholds with the Nucleus Freedom™ implant, was firstly developed in this research. AutoNRT uses decision tree expert systems that automatically recognise ECAPs. The algorithm approaches threshold from lower stimulus levels, ensuring recipient safety during postoperative measurements. Clinical studies have demonstrated success on approximately 95% of electrodes, measured with the same efficacy as a human expert. NRT features other than ECAP threshold, such as the ECAP recovery function, could not be measured with similar success rates, precluding further automation and loudness prediction from data mining results. Despite this outcome, a better application of the ECAP threshold profile towards fitting was established. Since C-level profiles (the contour of maximum acceptable stimulus levels across the implant array) were observed to be flatter than T-level profiles (the contour of minimum audibility), a flattening of the ECAP threshold profile was adopted when applied as a fitting profile at higher stimulus levels. Clinical benefits of this profile scaling technique were demonstrated in a 42 subject study. Data mining results also provided an insight into the ECAP recovery function and refractoriness. It is argued that the ECAP recovery function is heavily influenced by the size of the recruited neural population, with evidence gathered from a computational model of the cat auditory nerve and NRT measurements with 21 human subjects. Slower ECAP recovery, at equal loudness, is a consequence of greater neural recruitment leading to lower mean spike probabilities. This view can explain the counterintuitive association between slower ECAP recovery and greater temporal responsiveness to increasing stimulation rate. This thesis presents the first attempt at achieving completely automated cochlear implant fitting via machine intelligence; a future generation implant, capable of high fidelity auditory system measurements, may realise the ultimate objective.
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Morrison, Jeffrey Glenn. "The effects of diplay and response codes on information processing in an identification task." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/30531.

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41

Jorge, João Pedro Godinho Alves. "A importância da competitive intelligence no processo de tomada de decisão." Master's thesis, Instituto Superior de Economia e Gestão, 2009. http://hdl.handle.net/10400.5/1421.

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Mestrado em Marketing
A Competitive Intelligence está a tornar-se numa prática mundial e numa importante ferramenta estratégica de suporte à decisão, conferindo às organizações maior ênfase analítica e orientação para a acção. Mais do que recolher ou arquivar o máximo de informação, muitas vezes só passível de análise posterior, as organizações necessitam saber o que fazer com ela, devendo reconhecer valor apenas à informação tratada e concentrar-se na colocação de boas perguntas e na definição das suas necessidades, deixando para segundo plano a existência ou não da informação. Este estudo investiga a aplicabilidade dos conceitos de Competitive Intelligence, ao nível das organizações portuguesas, avaliando a sua influência no processo de tomada de decisão, gestão estratégica e táctica, tentando responder à questão: “Quais os antecedentes que promovem uma resposta célere a acções competitivas da concorrência?”, Utiliza-se uma metodologia de pesquisa quantitativa, assente em técnicas multivariadas, resultante dum questionário on-line e numa amostra não probabilística, abarcando funções de topo das 1.000 maiores empresas nacionais por volume de facturação. Concluiu-se a existência de uma relação positiva entre a variável “Estrutura, consciência e processos” com a capacidade de resposta a acções competitivas da concorrência. Não se revelando, essa mesma relação positiva, com as restantes duas variáveis do modelo, nomeadamente: “Pressão de Mercado” e “Cultura e Atitude”. Concluiu-se também que a Competitive Intelligence não é estranha às organizações portuguesas, apresenta-se estruturada e em sintonia com a maioria das práticas internacionais, apesar das empresas nacionais referirem a sua capacidade de resposta como reactiva e não utilizam nenhum método para avaliar a eficácia da sua intelligence.
Competitive Intelligence is becoming a world organizational practice and an important strategic and supporting tool for the decision making process. It also confers a strong analytical emphasis with a consequent action oriented focus. Rather than collecting or storing information, often only used to further analysis, organizations need to know what to do with it. They must recognize value, only in treated information and concentrate on putting good questions and in defining their needs, leaving the existence or inexistence of information for second plan. This study investigates the applicability of Competitive Intelligence in Portuguese organizations, assessing its influence in decision-making process, strategic and tactical management, trying to answer the question: "which antecedents promote a rapid response to competitive actions? A quantitative research methodology was used, supported by multivariate techniques, based on an online survey with a nonprobability sampling embodying top management functions of the 1.000 major Portuguese companies by turnover. It was determined the existence of a positive relationship between the variable “Structure, awareness and process” and the “Capacity to respond” to competitive actions. The study does not show this positive relationship with the other two variables of the model: "Market pressure" and "Culture and Attitude." It was also determined that Competitive Intelligence is not unfamiliar to the Portuguese organizations, is structured and in line with most international practices, despite they consider their ability to respond as reactive and don’t use any evaluated method to assess the effectiveness of their intelligence.
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Richardson, Thomas J. "Identifying Best Practices in the dissemination of intelligence to first responders in the fire and EMS services." Thesis, Monterey, California. Naval Postgraduate School, 2010. http://hdl.handle.net/10945/5137.

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CHDS State/Local
Approved for public release; distribution is unlimited
September 11, 2001 thrust the fire service into the world of intelligence but the evolution of its involvement has been slow and challenging. The evolving role in the intelligence process presents unprecedented challenges. This expanded role has presented an opportunity to contribute to the homeland security prevention and protection mission in addition to their traditionally recognized role in response and recovery. As fire service participation expands and the macro level sharing of intelligence between the fire service and the intelligence/law enforcement communities becomes more recognized as a matter of course, it will be necessary for fire service agencies also to develop internal mechanisms of disseminating intelligence to field level personnel. If field level personnel do not receive timely, credible, and actionable information, driven by the intelligence process, before, during and after an incident, their lives, as well as the lives of the public they are trying to help, can be jeopardized. This thesis presents research to answer the question, "how can information and intelligence be better disseminated to local first responders to enhance situational awareness, provide a higher degree of responder safety, and better protect the public?" Structured interviews were conducted to examine existing models being used to disseminate intelligence to first responders who were surveyed to determine what type of intelligence they preferred to receive, and in what format they would prefer to receive it. The findings revealed that first responders want intelligence products in an easily accessible concise format available in real time.
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Creech, Greta E. "Holding on to Who They Are: Pathways for Variations in Response to Toxic Workplace Behavior Among U.S. Intelligence Officers." Antioch University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=antioch1622928796706695.

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44

Xu, Kun. "Media are social actors: Individuals' social responses to social robots and mobile phones." Diss., Temple University Libraries, 2018. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/534502.

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Media & Communication
Ph.D.
The Computers are Social Actors (CASA) paradigm was proposed more than two decades ago to understand humans’ interaction with computer technologies. Today, as emerging media technologies including social robots and smartphones become more personal and persuasive, questions of how users respond to them socially, what individual factors leverage the relationship, and what constitutes the social influence of these technologies need to be addressed. As an expansion of the CASA paradigm, the Media are Social Actors (MASA) paradigm was applied in the current dissertation to understand users’ social perception, social attitudes, and social behavior in their interactions with humanoid social robots and smartphones. Two lab experiments with between-subjects factorial design were conducted. A total of 110 participants were asked to interact with a humanoid social robot and a smartphone respectively in a socio-emotional context and a task-oriented context. Four pairs of social cues were compared to understand their influence on users’ anthropomorphism of the technologies. Multivariate analyses and textual analyses were conducted. Results suggested that users developed more trust in the social robot with a human voice than with a synthetic voice. Users also developed more intimacy and more interest in the social robot when the robot was paired with humanlike gestures. However, individual differences such as users’ attitudes toward robots, robot use experiences, and suspension of disbelief affected users’ psychological responses to the social robot. Although users’ responses to the smartphone did not vary based on the language styles and the modalities, factors such as individuals’ intensive smartphone use, mobile use habits, and their source orientation and re-orientation moderated the social influence of the smartphone. The dissertation has theoretical value in expanding the CASA paradigm to social robots and smartphones. It also tests the validity of the propositions of the MASA paradigm. The results can lead to more comprehensive, nuanced, and exciting discoveries of the social implications, ethical implications, and practical guides of using these emerging media technologies in the future.
Temple University--Theses
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45

Watkins, Tawanda M. "Will "Hallelujah" Help Me? Exploring the Relationship Between Spirituality and Emotional Intelligence Among Black Women in Higher Education." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2019. http://digitalcommons.auctr.edu/cauetds/176.

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This research examined the relationship between spirituality and emotional intelligence among Black women in higher education. The hypotheses state that spirituality has a positive effect on emotional intelligence.Twenty-nine questions were administered to 110 participants of various demographics. The survey was used to gather data and examined three areas: level of spirituality, level of emotional intelligence, and academic satisfaction. A specific conclusion drawn from the findings suggest that Black women who identify as spiritual and frequently participate in spiritual activities will also have high emotional intelligence.
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He, Annette. "Response to Technological Innovation: The Impact of STEM Graduates on Employment Opportunities in Accounting Services Firms." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/scripps_theses/1146.

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What is the effect of STEM (science, technology, engineering, math) degrees on employment in accounting services? Many accounting firms are beginning to rely on recent technological developments such as big data and Artificial Intelligence. Although firms have traditionally hired professionals from pure accounting backgrounds, technology is creating a new demand for skills focusing on data analytics, computer science, statistics, and many more. This thesis analyzes the impact of increasing employment diversity; one way of maximizing the potential of technological innovation is to focus recruiting on STEM graduates. Thus, this thesis uses an empirical analysis on the effect of STEM degrees and accounting services employment; this relationship is compared with variables that have had or will affect accounting services employment in the twenty-first century: Sarbanes Oxley regulations, accounting degrees, public research and development funding, and unemployment rates. The conclusions from this analysis help suggest future educational implications for accountants.
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Hannoun, Gaby Joe. "Optimization of an Emergency Response Vehicle's Intra-Link Movement in Urban Transportation Networks Utilizing a Connected Vehicle Environment." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/92591.

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Downstream vehicles detect an emergency response vehicle (ERV) through sirens and/or strobe lights. These traditional warning systems do not give any recommendation about how to react, leaving the drivers confused and often adopting unsafe behavior while trying to open a passage for the ERV. In this research, an advanced intra-link emergency assistance system, that leverages the emerging technologies of the connected vehicle environment, is proposed. The proposed system assumes the presence of a centralized system that gathers/disseminates information from/to connected vehicles via vehicle-to-infrastructure (V2I) communications. The major contribution of this dissertation is the intra-link level support provided to ERV as well as non-ERVs. The proposed system provides network-wide assistance as it also considers the routing of ERVs. The core of the system is a mathematical program - a set of equations and inequalities - that generates, based on location and speed data from connected vehicles that are downstream of the ERV, the fastest intra-link ERV movement. It specifies for each connected non-ERV a final assigned position that the vehicle can reach comfortably along the link. The system accommodates partial market penetration levels and is applicable on large transportation link segments with signalized intersections. The system consists of three modules (1) an ERV route generation module, (2) a criticality analysis module and (2) the sequential optimization module. The first module determines the ERV's route (set of links) from the ERV's origin to the desired destination in the network. Based on this selected route, the criticality analysis module scans/filters the connected vehicles of interest and determines whether any of them should be provided with a warning/instruction message. As the ERV is moving towards its destination, new non-ERVs should be notified. When a group of non-ERVs is identified by the criticality analysis module, a sequential optimization module is activated. The proposed system is evaluated using simulation under different combinations of market penetration and congestion levels. Benefits in terms of ERV travel time with an average reduction of 9.09% and in terms of vehicular interactions with an average reduction of 35.46% and 81.38% for ERV/non-ERV and non-ERV/non-ERV interactions respectively are observed at 100% market penetration, when compared to the current practice where vehicles moving to the nearest edge.
Doctor of Philosophy
Downstream vehicles detect an emergency response vehicle (ERV) through sirens and/or strobe lights. These traditional warning systems do not give any recommendations about how to react, leaving the drivers confused and often adopting unsafe behavior while trying to open a passage for the ERV. In this research, an advanced intra-link emergency assistance system, that leverages the emerging technologies of the connected vehicle environment, is proposed. The proposed system assumes the presence of a centralized system that gathers/disseminates information from/to connected vehicles via vehicle-to-infrastructure (V2I) communications. The major contribution of this dissertation is the intra-link level support provided to ERV as well as non-ERVs. The proposed system provides network-wide assistance as it also considers the routing of ERVs. The core of the system is a mathematical program - a set of equations and inequalities - that generates, based on location and speed data from connected vehicles that are downstream of the ERV, the fastest intra-link ERV movement. It specifies for each connected non-ERV a final assigned position that the vehicle can reach comfortably along the link. The system accommodates partial market penetration levels and is applicable on large transportation link segments with signalized intersections. The system consists of three modules (1) an ERV route generation module, (2) a criticality analysis module and (2) the sequential optimization module. The first module determines the ERV’s route (set of links) from the ERV’s origin to the desired destination in the network. Based on this selected route, the criticality analysis module scans/filters the connected vehicles of interest and determines whether any of them should be provided with a warning/instruction message. As the ERV is moving towards its destination, new non-ERVs should be notified. When a group of non-ERVs is identified by the criticality analysis module, a sequential optimization module is activated. The proposed system is evaluated using simulation under different combinations of market penetration and congestion levels. Benefits in terms of ERV travel time with an average reduction of 9.09% and in terms of vehicular interactions with an average reduction of 35.46% and 81.38% for ERV/non-ERV and non-ERV/non-ERV interactions respectively are observed at 100% market penetration, when compared to the current practice where vehicles moving to the nearest edge.
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Roche, Robin. "Algorithmes et architectures multi-agents pour la gestion de l'énergie dans les réseaux électriques intelligents." Phd thesis, Université de Technologie de Belfort-Montbeliard, 2012. http://tel.archives-ouvertes.fr/tel-00864268.

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Avec la convergence de plusieurs tendances profondes du secteur énergétique, lesréseaux électriques intelligents (smart grids) émergent comme le paradigme principal pourla modernisation des réseaux électriques. Les smart grids doivent notamment permettred'intégrer de larges proportions d'énergie renouvelable intermittente, de stockage et devéhicules électriques, ainsi que donner aux consommateurs plus de contrôle sur leur consommationénergétique. L'atteinte de ces objectifs repose sur l'adoption de nombreusestechnologies, et en particulier des technologies de l'information et de la communication.Ces changements transforment les réseaux en des systèmes de plus en plus complexes,nécessitant des outils adaptés pour modéliser, contrôler et simuler leur comportement.Dans cette thèse, l'utilisation des systèmes multi-agents (SMA) permet une approchesystémique de la gestion de l'énergie, ainsi que la définition d'architectures et d'algorithmesbénéficiant des propriétés des SMA. Cette approche permet de prendre en compte lacomplexité d'un tel système cyber-physique, en intégrant de multiples aspects commele réseau en lui-même, les infrastructures de communication, les marchés ou encore lecomportement des utilisateurs. L'approche est mise en valeur à travers deux applications.Dans une première application, un système de gestion de l'énergie pour centrales àturbines à gaz est conçu avec l'objectif de minimiser les coûts de fonctionnement et lesémissions de gaz à effet de serre pour des profils de charge variables. Un modèle de turbineà gaz basé sur des données réelles est proposé et utilisé dans un simulateur spécifiquementdéveloppé. Une métaheuristique optimise dynamiquement le dispatching entre les turbinesen fonction de leurs caractéristiques propres. Les résultats montrent que le systèmeest capable d'atteindre ses objectifs initiaux. Les besoins en puissance de calcul et encommunication sont également évalués.Avec d'autres mesures de gestion de la demande, l'effacement diffus permet de réduiretemporairement la charge électrique, par exemple dans la cas d'une congestion du réseaude transport. Dans cette seconde application, un système d'effacement diffus est proposéet utilise les ressources disponibles chez les particuliers (véhicules électriques, climatisation,chauffe-eau) pour maintenir la demande sous une valeur limite. Des aggrégateursde capacité de réduction de charge servent d'interface entre les opérateurs du réseau etun marché de l'effacement. Un simulateur est également développé pour évaluer la performancedu système. Les résultats de simulations montrent que le système réussit àatteindre ses objectifs sans compromettre la stabilité du réseau de distribution en régimecontinu.
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49

Carroll, Ellen Laura. "The cognitive basis of goal-directed behaviour." Thesis, Anglia Ruskin University, 2014. http://arro.anglia.ac.uk/550491/.

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An unresolved issue exists in the study of mental ability: which aspect of cognition is responsible for the emergence of psychometric “g” (Spearman, 1904, 1927), a general factor that predicts performance in all kinds of cognitive tasks and many important life outcomes? On the basis of themes present in the literature on fluid intelligence (Chapter 1), this thesis explores the relative contributions of processing, storage, and task modelling demands to the recruitment of g in task performance. Six experiments are presented which employed two computer-based tasks. The tasks were designed such that the level of demand for processing and storage was separated and manipulated in order to establish their relationship to scores on a standard test of g. Task manipulations were implemented in the context of varying the number of distinct verbal chunks in which task instructions were presented, whilst controlling for the presented amount of operative task-relevant information. The findings showed that the recruitment of g in task performance was strengthened by the presence (versus the absence) of a requirement to inhibit a prepotent response tendency (Experiments 1, 2, and 3), and by the presence of requirements to inhibit a prepared response and to maintain and update information in working memory (Experiments 4 and 5). However, these effects were observed only when task instructions were presented as four (and not as two) distinct rules. Additional findings showed that reconceptualisation of task requirements—that is, flexibly imposing order on a complex set of instructions thus reducing the number of distinct verbal chunks—was dependent on performance on the test of Spearman’s g (Experiments 3 through 6). These findings are deemed consistent with a task conceptualisation theory of g, with real-time execution demand, particularly inhibition, posing as a risk factor for the recruitment of g only when task requirements are maintained in mind as a relatively large number of chunks or rules.
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50

Winters, John. "An Investigation of Auditory Icons and Brake Response Times in a Commercial Truck-Cab Environment." Thesis, Virginia Tech, 1998. http://hdl.handle.net/10919/36714.

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Abstract:
In the driving task, vision, hearing, and the haptic senses are all used by the driver to gather required information. Future Intelligent Transportation Systems components are likely to further increase the volume of information available to or required by the driver, particularly in the case of commercial vehicle operators. The use of alternate modalities to present in-vehicle information is a possible solution to the potential overload of the visual channel. Auditory icons have been shown to improve operator performance and decrease learning and response times, not only in industrial applications, but also as emergency braking warnings. The use of auditory icons in commercial truck cabs has the potential to increase the number of auditory displays that can be distinguished and understood by commercial vehicle operators, and this experiment sought to determine the utility of auditory icons in that situation. Nine auditory icons were evaluated by commercial vehicle operators as they drove an experimental vehicle over public roads. A comparison of the data collected in the truck-cab environment to data collected in a laboratory study on the same auditory icons revealed some differences in the perceived meaning, perceived urgency, and association with the auditory icons' intended meanings between the two conditions. The presence of these differences indicates that driver evaluations of auditory icons can be affected by the environment, and testing should therefore be conducted in a situation that approximates the end-user environment as closely as possible. A comparison of the drivers' brake response times across the three warning conditions (no warning, auditory icon, and soft braking) was also conducted on a closed, secure handling course. Dependent measures included overall brake reaction time and its components, steering response time, time to initial driver action, and categorical measures of driver responses (steering, swerving, braking, and stopping). The results indicated numerically shorter mean response times (on the order of 0.5 seconds for Total Brake Response Time) for the two conditions with warnings, but the differences were not statistically significant. The most likely reason for this lack of significance is the extreme between-subject variability in response times in the no warning condition. An analysis of the response time variance across the three conditions did indicate significantly less variability in operator responses in the two warning conditions. Two of the five dependent measures (Brake Pedal Contact Time and Total Brake Response Time) exhibited significantly reduced variance in the auditory icon warning condition compared to the no warning condition. The soft braking warning condition exhibited significantly reduced variance for four of the dependent measures (Accelerator Reaction Time, Brake Pedal Contact Time, Total Brake Response Time, and First Reaction Time). These results indicate that a soft braking stimulus like that used in this study could potentially prove to be a more effective emergency braking warning than simple auditory warnings alone.
Master of Science
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