233 research outputs found
Design issues for agent-based resource locator systems
While knowledge is viewed by many as an asset, it is often difficult to locate particularitems within a large electronic corpus. This paper presents an agent based framework for the location of resources to resolve a specific query, and considers the associated design issue. Aspects of the work presented complements current research into both expertise finders and recommender systems. The essential issues for the proposed design are scalability, together ith the ability to learn and adapt to changing resources. As knowledge is often implicit within electronic resources, and therefore difficult to locate, we have proposed the use of ontologies, to extract the semantics and infer meaning to obtain the results required. We explore the use of communities of practice, applying ontology-based networks, and e-mail message exchanges to aid the resource discovery process
Consideration the Relationship between ICT and Ehealth
Information and communication technologies (ICTs) are potentially powerful instruments to strengthen health systems, with innovations ranging from electronic health records to transmission of clinical data. Information and communication technologies have already become inseparable part of healthcare sector activities. In the paper we present existing solutions of ehealth and ambient assisted living systems developed by researchers of the Faculty of management and economics University in allame Tabatabae. We also touch the issue of interoperability that is crucial for correct interconnection of medical and other devices and information systems. We propose a high level functional architecture of a system that can satisfy the requirements of interoperability. Keywords:Â information technology; communication technology; eHealth; mHealth; interoperability; healthcare
Business Intelligence Expert System on SOX Compliance over the Purchase Orders Creation Process
The objective of this work is to define a decision support system over SOX (Sarbanes-Oxley Act) compatibility and quality of the Purchase Orders Creation Process based on Artificial Intelligence and Theory of Argumentation knowledge and techniques. This proposed model directly contributes to both scientific research artificial intelligent area and business practices. From business perspective it empowers the use of artificial intelligent models and techniques to drive decision making processes over financial statements. From scientific and research area the impact is based on the combination of 1) an Information Seeking Dialog Protocol in which a requestor agent inquires the business case; 2) a Facts Valuation based Protocol in which the previously gathered facts are analyzed; 3) the already incorporated initial knowledge of a human expert via initial beliefs; 4) the Intra-Agent Decision Making Protocol based on deductive argumentation; and 5) the semi automated Dynamic Knowledge Learning Protocol. Last but not least the suggested way of integration of this proposed model in a higher level multiagent intelligent system in which a Joint Deliberative Dialog Protocol and an Inter-Agent Decision Deductive Argumentation Making Protocol are described
Artificial intelligence based decision support for trumpeter swan management
Department Head: Susan G. Stafford.2002 Spring.Includes bibliographical references (pages 108-114).The number of trumpeter swans (Cygnus buccinator) breeding in the Tri-State area where Montana, Idaho, and Wyoming come together has declined to just a few hundred pairs. However, these birds are part of the Rocky Mountain Population which additionally has over 3,500 birds breeding in Alberta, British Columbia, Northwest Territories, and Yukon Territory. To a large degree, these birds seem to have abandoned traditional migratory pathways in the flyway. Waterfowl managers have been interested in decision support tools that would help them explore simulated management scenarios in their quest towards reaching population recovery and the reestablishment of traditional migratory pathways. I have developed a decision support system to assist biologists with such management, especially related to wetland ecology. Decision support systems use a combination of models, analytical techniques, and information retrieval to help develop and evaluate appropriate alternatives. Swan management is a domain that is ecologically complex, and this complexity is compounded by spatial and temporal issues. The Distributed Environment Centered Agent Framework (DECAF) was successful at integrating communications among agents, integrating ecological knowledge, and simulating swan distributions through implementation of a queuing system. The work I have conducted indicates a need for determining what other factors might allow a deeper understanding of the effects of management actions on the flyway distribution of waterfowl. Knowing those would allow the more refined development of algorithms for effective decision support systems via collaboration by intelligent agents. Additional, specific conclusions and ideas for future research related both to waterfowl ecology and to the use of multiagent systems have been triggered by the validation work
Distributed Data Management in Vehicular Networks Using Mobile Agents
En los Ășltimos años, las tecnologĂas de la informaciĂłn y las comunicaciones se han incorporado al mundo de la automociĂłn gracias a sus avances, y han permitido la creaciĂłn de dispositivos cada vez mĂĄs pequeños y potentes. De esta forma, los vehĂculos pueden ahora incorporar por un precio asequible equipos informĂĄticos y de comunicaciones.En este escenario, los vehĂculos que circulan por una determinada zona (como una ciudad o una autopista) pueden comunicarse entre ellos usando dispositivos inalĂĄmbricos que les permiten intercambiar informaciĂłn con otros vehĂculos cercanos, formando asĂ una red vehicular ad hoc, o VANET (Vehicular Ad hoc Network). En este tipo de redes, las comunicaciones se establecen con conexiones punto a punto por medio de dispositivos tipo Wi-Fi, que permiten la comunicaciĂłn con otros del mismo tipo dentro de su alcance, sin que sea necesaria la existencia previa de una infraestructura de comunicaciones como ocurre con las tecnologĂas de telefonĂa mĂłvil (como 3G/4G), que ademĂĄs requieren de una suscripciĂłn y el pago de una tarifa para poder usarlas.Cada vehĂculo puede enviar informaciĂłn y recibirla de diversos orĂgenes, como el propio vehĂculo (por medio de los sensores que lleva incorporados), otros vehĂculos que se encuentran cerca, asĂ como de la infraestructura de trĂĄfico presente en las carreteras (como semĂĄforos, señales, paneles electrĂłnicos de informaciĂłn, cĂĄmaras de vigilancia, etc.). Todos estas fuentes pueden transmitir datos de diversa Ăndole, como informaciĂłn de interĂ©s para los conductores (por ejemplo, atascos de trĂĄfico o accidentes en la vĂa), o de cualquier otro tipo, mientras sea posible digitalizarla y enviarla a travĂ©s de una red.Todos esos datos pueden ser almacenados localmente en los ordenadores que llevan los vehĂculos a medida que son recibidos, y serĂa muy interesante poder sacarles partido por medio de alguna aplicaciĂłn que los explotara. Por ejemplo, podrĂan utilizarse los vehĂculos como plataformas mĂłviles de sensores que obtengan datos de los lugares por los que viajan. Otro ejemplo de aplicaciĂłn serĂa la de ayudar a encontrar plazas de aparcamiento libres en una zona de una ciudad, usando la informaciĂłn que suministrarĂan los vehĂculos que dejan una plaza libre.Con este fin, en esta tesis se ha desarrollado una propuesta de la gestiĂłn de datos basada en el uso de agentes mĂłviles para poder hacer uso de la informaciĂłn presente en una VANET de forma eficiente y flexible. Esta no es una tarea trivial, ya que los datos se encuentran dispersos entre los vehĂculos que forman la red, y dichos vehĂculos estĂĄn constantemente moviĂ©ndose y cambiando de posiciĂłn. Esto hace que las conexiones de red establecidas entre ellos sean inestables y de corta duraciĂłn, ya que estĂĄn constantemente creĂĄndose y destruyĂ©ndose a medida que los vehĂculos entran y salen del alcance de sus comunicaciones debido a sus movimientos.En un escenario tan complicado, la aproximaciĂłn que proponemos permite que los datos sean localizados, y que se puedan hacer consultas sobre ellos y transmitirlos de un sitio cualquiera de la VANET a otro, usando estrategias multi-salto que se adaptan a las siempre cambiantes posiciones de los vehĂculos. Esto es posible gracias a la utilizaciĂłn de agentes mĂłviles para el procesamiento de datos, ya que cuentan con una serie de propiedades (como su movilidad, autonomĂa, adaptabilidad, o inteligencia), que hace que sean una elecciĂłn muy apropiada para este tipo de entorno mĂłvil y con un elevado grado de incertidumbre.La soluciĂłn propuesta ha sido extensamente evaluada y probada por medio de simulaciones, que demuestran su buen rendimiento y fiabilidad en redes vehiculares con diferentes condiciones y en diversos escenarios.<br /
HoCaMA: Home Care Hybrid Multiagent Architecture
Home Care is one of the main objectives of Ambient Intelligence. Nowadays, the disabled and elderly population, which represents a significant part of our society, requires novel solutions for providing home care in an effective way. In this chapter, we present HoCaMA, a hybrid multiagent architecture that facilitates remote monitoring and care services for disabled patients at their homes. HoCaMA combines multiagent systems and Web services to facilitate the communication and integration with multiple health care systems. In addition, HoCaMA focuses on the design of reactive agents capable of interacting with different sensors present in the environment, and incorporates a system of alerts through SMS and MMS mobile technologies. Finally, it uses Radio Frequency IDentification and JavaCard technologies to provide advanced location and identification systems, as well as automatic access control facilities. HoCaMA has been implemented in a real environment and the results obtained are presented within this chapter
An intelligent-agent approach for managing congestion in W-CDMA networks
PhDResource Management is a crucial aspect in the next generation cellular networks
since the use of W-CDMA technology gives an inherent flexibility in managing the
system capacity. The concept of a âService Level Agreementâ (SLA) also plays a
very important role as it is the means to guarantee the quality of service provided to
the customers in response to the level of service to which they have subscribed.
Hence there is a need to introduce effective SLA-based policies as part of the radio
resource management.
This work proposes the application of intelligent agents in SLA-based control in
resource management, especially when congestion occurs. The work demonstrates the
ability of intelligent agents in improving and maintaining the quality of service to
meet the required SLA as the congestion occurs.
A particularly novel aspect of this work is the use of learning (here Case Based
Reasoning) to predict the control strategies to be imposed. As the system environment
changes, the most suitable policy will be implemented. When congestion occurs, the
system either proposes the solution by recalling from experience (if the event is
similar to what has been previously solved) or recalculates the solution from its
knowledge (if the event is new). With this approach, the system performance will be
monitored at all times and a suitable policy can be immediately applied as the system
environment changes, resulting in maintaining the system quality of service
Mining and Clustering of Location Based Services on Basis of Moving Transactions
ABSTRACT: In today's world everything is fast paced and internet as become necessity of life we need it at every step. With the invention of smart phone GPS enabled cell user can ask for any service via Information service and Application provider from anywhere any time. This business model is known as moving commerce .It provides Location based services through moving phone. One of the active topics in mining is the mining and prediction of moving movements and associated transactions. Most of existing studies focus on discovering moving patterns from the whole logs. The issue with this method is that it does not provide accurate information as it depends on spatial clustering where as Location based services require non spatial clustering. The other issue with it is that most methods requires user to set the parameters which is highly impossible in an active environment. Moreover in moving environment the user profiles are seldom known but what we know is the moving transaction patterns. In the paper we will use an algorithm, namely, Temporal Moving Sequential Pattern Mine based on clustering, to discover the Cluster-based Temporal Moving Sequential Patterns .User clusters are constructed by a algorithm named ClusterObject-based Smart Cluster Affinity Search Technique similarities between users are evaluated by the proposed measure, Location-Based Service Alignment (LBS-Alignment).In the algorithm is also proposed to use time as also one of the dimensions where similar moving characteristics exist
A Multi-Site NFV Testbed for Experimentation With SUAV-Based 5G Vertical Services
[EN] With the advent of 5G technologies, vertical markets have been placed at the forefront,
as fundamental drivers and adopters of technical developments and new business models. Small Unmanned
Aerial Vehicles (SUAVs) are gaining traction in multiple vertical sectors, as key assets to generate, process,
and distribute relevant information for the provision of value-added services. However, the enormous
potential of SUAVs to support a exible, rapid, and cost-effective deployment of vertical applications is
still to be exploited. In this paper, we leverage our prior work on Network Functions Virtualization (NFV)
and SUAVs to design and build a multi-site experimentation testbed based on open-source technologies.
The goal of this testbed is to explore synergies among NFV, SUAVs, and vertical services, following a
practical approach primarily governed by experimentation. To verify our testbed design, we realized a
reference use case where a number of SUAVs, cloud infrastructures, and communication protocols are used to
provide a multi-site vertical service. Our experimentation results suggest the potential of NFV and SUAVs
to exibly support vertical services. The lessons learned have served to identify missing elements in our
NFV platform, as well as challenging aspects for potential improvement. These include the development of
speci c mechanisms to limit processing load and delays of service deployment operations.This work was supported in part by the European Commission under the European Union's Horizon 2020 program (5GRANGE Project, grant agreement number 777137), and in part by the 5GCity Project funded by the Spanish Ministry of Economy and Competitiveness under Grant TEC2016-76795-C6-1R, Grant TEC2016-76795-C6-3R, and Grant TEC2016-76795-C6-5R
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