Enhancing Interaction With Smart Objects Throught Mobile Devices

Interaction with smart objects can be accomplished with different technologies, such as tangible interfaces or touch computing, among others. Some of them require the object to be especially designed to be 'smart', and some other are limited in the variety and complexity of the possible actions. This paper describes a user-smart object interaction model and prototype based on the well known event-condition-action (ECA) reasoning, which can work, to a degree, independently of the intelligence embedded into the smart object. It has been designed for mobile devices to act as mediators between users and smart objects and provides an intuitive means for personalization of object's behavior. When the user is close to an object, this one publishes its 'event & action' capabilities to the user's device. The user may accept the object's module offering, which will enable him to configure and control that object, but also its actions with respect to other elements of the environment or the virtual world. The modular ECA interaction model facilitates the integration of different types of objects in a smart space, giving the user full control of their capabilities and facilitating creative mash-uping to build customized functionalities that combine physical and virtual actions

Towards a lightweight mobile semantic-based approach for enhancing interaction with smart objects

This work describes a semantic extension for a user-smart object interaction model based on the ECA paradigm (Event-Condition-Action). In this approach, smart objects publish their sensing (event) and action capabilities in the cloud and mobile devices are prepared to retrieve them and act as mediators to configure personalized behaviours for the objects. In this paper, the information handled by this interaction system has been shaped according several semantic models that, together with the integration of an embedded ontological and rule-based reasoner, are exploited in order to (i) automatically detect incompatible ECA rules configurations and to (ii) support complex ECA rules definitions and execution. This semantic extension may significantly improve the management of smart spaces populated with numerous smart objects from mobile personal devices, as it facilitates the configuration of coherent ECA rules.

Especificação e implementação de uma linguagem para transformação de modelos MOF em repositórios dMOF

This work presents the specification and the implementation of a language of Transformations in definite Models specification MOF (Meta Object Facility) of OMG (Object Management Group). The specification uses a boarding based on rules ECA (Event-Condition-Action) and was made on the basis of a set of scenes of use previously defined. The Parser Responsible parser for guaranteeing that the syntactic structure of the language is correct was constructed with the tool JavaCC (Java Compiler Compiler) and the description of the syntax of the language was made with EBNF (Extended Backus-Naur Form). The implementation is divided in three parts: the creation of the interpretative program properly said in Java, the creation of an executor of the actions specified in the language and its integration with the type of considered repository (generated for tool DSTC dMOF). A final prototype was developed and tested in the scenes previously defined

Reducing the gap between mobile and intelligent software agents

This paper presents an approach to integrate an artificial intelligence (AI) technique, concretely rule-based processing, into mobile agents. In particular, it focuses on the aspects of designing and implementing an appropriate inference engine of small size to reduce migration costs. The main goal is combine two lines of agent research, First, the engineering oriented approach on mobile agent architectures, and, second, the AI related approach on inference engines driven by rules expressed in a restricted subset of first-order predicate logic (FOPL). In addition to size reduction, the main functions of this type of engine were isolated, generalized and implemented as dynamic components, making possible not only their migration with the agent, but also their dynamic migration and loading on demand. A set of classes for representing and exchanging knowledge between rule-based systems was also proposed.

Monitoring Complex Processes to Verify System Conformance: A Declarative Rule-Based Framework

Over the last 60 years, computers and software have favoured incredible advancements in every field. Nowadays, however, these systems are so complicated that it is difficult – if not challenging – to understand whether they meet some requirement or are able to show some desired behaviour or property. This dissertation introduces a Just-In-Time (JIT) a posteriori approach to perform the conformance check to identify any deviation from the desired behaviour as soon as possible, and possibly apply some corrections. The declarative framework that implements our approach – entirely developed on the promising open source forward-chaining Production Rule System (PRS) named Drools – consists of three components: 1. a monitoring module based on a novel, efficient implementation of Event Calculus (EC), 2. a general purpose hybrid reasoning module (the first of its genre) merging temporal, semantic, fuzzy and rule-based reasoning, 3. a logic formalism based on the concept of expectations introducing Event-Condition-Expectation rules (ECE-rules) to assess the global conformance of a system. The framework is also accompanied by an optional module that provides Probabilistic Inductive Logic Programming (PILP). By shifting the conformance check from after execution to just in time, this approach combines the advantages of many a posteriori and a priori methods proposed in literature. Quite remarkably, if the corrective actions are explicitly given, the reactive nature of this methodology allows to reconcile any deviations from the desired behaviour as soon as it is detected. In conclusion, the proposed methodology brings some advancements to solve the problem of the conformance checking, helping to fill the gap between humans and the increasingly complex technology.

Estratègies en la presa de decisió d’una jugadora i el seu entrenador en el rugbi femení d’alt nivell = Estrategias en la toma de decisión de una jugadora y su entrenador en el rugby femenino de alto nivel

This research compared knowledge representation of a female rugby player and her coach concerning decision-making of the fly half in attack from second phase play. The current female England fly half and the England Women’s Rugby head coach analysed, from the fly half perspective, 15 sequences of the England v Spain match played during the 2002 Women’s Rugby World Cup in Barcelona. Protocol analysis of subjects’ verbal reports revealed that the player generated more overall concepts than the coach. The player’s analysis was based on condition-action statements related to goals. In contrast, the knowledge representation of the coach centred on conditions related to actions. Both subjects generated regulatory and do concepts in a similar way, with a majority of positive feedbacks. Knowledge structure of the player appeared to be more complex, but sophistication of concepts was similar for both subjects. Critical analysis of complete sequences viewed revealed a more severe self-assessment of the player compared with that of her coach. In conclusion, and despite the differences found between subjects, the player and her coach demonstrated possession of a similar pattern of decision-making strategies that could be due to a successful transmission of knowledge from the coach to his player

Detecção e diagnóstico de falhas não-supervisionados baseados em estimativa de densidade recursiva e classificador fuzzy auto-evolutivo

In this work, we propose a two-stage algorithm for real-time fault detection and identification of industrial plants. Our proposal is based on the analysis of selected features using recursive density estimation and a new evolving classifier algorithm. More specifically, the proposed approach for the detection stage is based on the concept of density in the data space, which is not the same as probability density function, but is a very useful measure for abnormality/outliers detection. This density can be expressed by a Cauchy function and can be calculated recursively, which makes it memory and computational power efficient and, therefore, suitable for on-line applications. The identification/diagnosis stage is based on a self-developing (evolving) fuzzy rule-based classifier system proposed in this work, called AutoClass. An important property of AutoClass is that it can start learning from scratch". Not only do the fuzzy rules not need to be prespecified, but neither do the number of classes for AutoClass (the number may grow, with new class labels being added by the on-line learning process), in a fully unsupervised manner. In the event that an initial rule base exists, AutoClass can evolve/develop it further based on the newly arrived faulty state data. In order to validate our proposal, we present experimental results from a level control didactic process, where control and error signals are used as features for the fault detection and identification systems, but the approach is generic and the number of features can be significant due to the computationally lean methodology, since covariance or more complex calculations, as well as storage of old data, are not required. The obtained results are significantly better than the traditional approaches used for comparison

Efeitos de diferentes histórias experimentais sobre o comportamento de seguir regras em participantes classificados de flexíveis e inflexíveis

O presente estudo investigou se a manutenção, ou não, do comportamento de seguir regras discrepantes das contingências de reforço programadas em situação experimental depende mais da história experimental do ouvinte ou da sua história pré-experimental, inferida das respostas destes a um questionário sobre inflexibilidade. Dezesseis estudantes universitários selecionados previamente com base em suas respostas a um questionário sobre inflexibilidade, foram expostos a um procedimento de escolha segundo o modelo. Em cada tentativa, um estímulo modelo e três de comparação eram apresentados ao participante, que deveria apontar para os três de comparação, em uma determinada seqüência. Os participantes foram atribuídos a duas condições e cada condição continha quatro fases. As condições diferiram somente quanto ao esquema de reforço utilizado. Na Condição 1 o esquema de reforço era contínuo (CRF) e na Condição 2 era de razão fixa (FR4). Nas duas condições a Fase 1 era iniciada com a apresentação de instruções mínimas e uma seqüência de respostas era estabelecida por reforço diferencial; a Fase 2 era iniciada com a apresentação de uma regra discrepante; a Fase 3 era iniciada com a apresentação de uma regra correspondente e a Fase 4 com a reapresentação da regra discrepante. Oito participantes (quatro classificados de flexíveis e quatro classificados de inflexíveis) foram expostos à Condição 1 (CRF) e oito participantes (quatro classificados de flexíveis e quatro classificados de inflexíveis) foram expostos à Condição 2 (FR4). Os resultados mostraram que independente da classificação, os oito participantes da Condição 1 abandonaram o seguimento da regra discrepante das contingências, indicando que o controle exercido pela história experimental construída, impediu a observação dos efeitos de variáveis pré-experimentais sobre o comportamento de seguir regras discrepantes dos participantes. Já os resultados da Condição 2 mostraram que os quatro participantes classificados de flexíveis abandonaram o seguimento da regra discrepante e os quatro participantes classificados de inflexíveis mantiveram o seguimento da regra discrepante das contingências, indicando que sob estas condições o controle por diferentes histórias pré-experimentais, prevaleceu. Comparativamente os resultados das duas condições permitem concluir que a manutenção do comportamento de seguir regras discrepantes não depende somente da história experimental ou da história pré-experimental do ouvinte, mas sim da combinação de um número de condições favoráveis ou desfavoráveis a manutenção do comportamento de seguir regra discrepante.

Clinical decision support capabilities of commercially-available clinical information systems.

BACKGROUND: The most effective decision support systems are integrated with clinical information systems, such as inpatient and outpatient electronic health records (EHRs) and computerized provider order entry (CPOE) systems. Purpose The goal of this project was to describe and quantify the results of a study of decision support capabilities in Certification Commission for Health Information Technology (CCHIT) certified electronic health record systems. METHODS: The authors conducted a series of interviews with representatives of nine commercially available clinical information systems, evaluating their capabilities against 42 different clinical decision support features. RESULTS: Six of the nine reviewed systems offered all the applicable event-driven, action-oriented, real-time clinical decision support triggers required for initiating clinical decision support interventions. Five of the nine systems could access all the patient-specific data items identified as necessary. Six of the nine systems supported all the intervention types identified as necessary to allow clinical information systems to tailor their interventions based on the severity of the clinical situation and the user's workflow. Only one system supported all the offered choices identified as key to allowing physicians to take action directly from within the alert. Discussion The principal finding relates to system-by-system variability. The best system in our analysis had only a single missing feature (from 42 total) while the worst had eighteen.This dramatic variability in CDS capability among commercially available systems was unexpected and is a cause for concern. CONCLUSIONS: These findings have implications for four distinct constituencies: purchasers of clinical information systems, developers of clinical decision support, vendors of clinical information systems and certification bodies.

Cue recognition and cue elaboration in learning from examples.

This paper describes the processes used by students to learn from worked-out examples and by working through problems. Evidence is derived from protocols of students learning secondary school mathematics and physics. The students acquired knowledge from the examples in the form of productions (condition-->action): first discovering conditions under which the actions are appropriate and then elaborating the conditions to enhance efficiency. Students devoted most of their attention to the condition side of the productions. Subsequently, they generalized the productions for broader application and acquired specialized productions for special problem classes.

RESILIENCE OF NETWORKED INFRASTRUCTURE WITH EVOLVING COMPONENT CONDITIONS: A PAVEMENT NETWORK APPLICATION

This thesis deals with quantifying the resilience of a network of pavements. Calculations were carried out by modeling network performance under a set of possible damage-meteorological scenarios with known probability of occurrence. Resilience evaluation was performed a priori while accounting for optimal preparedness decisions and additional response actions that can be taken under each of the scenarios. Unlike the common assumption that the pre-event condition of all system components is uniform, fixed, and pristine, component condition evolution was incorporated herein. For this purpose, the health of the individual system components immediately prior to hazard event impact, under all considered scenarios, was associated with a serviceability rating. This rating was projected to reflect both natural deterioration and any intermittent improvements due to maintenance. The scheme was demonstrated for a hypothetical case study involving Laguardia Airport. Results show that resilience can be impacted by the condition of the infrastructure elements, their natural deterioration processes, and prevailing maintenance plans. The findings imply that, in general, upper bound values are reported in ordinary resilience work, and that including evolving component conditions is of value.

Premovement activity of the pre-supplementary motor area and the readiness for action: Studies of time-resolved event-related functional MRI

The supplementary motor area (SMA) is thought to play in important role in the preparation and organisation of voluntary movement. It has long been known that cortical activity begins to increase up to 2 s prior to voluntary self-initiated movement. This increasing premovement activity measured in EEG is known as the Bereitschaftspotential or readiness potential. Modern functional brain imaging methods, using event-related and time-resolved functional MRI techniques, are beginning to reveal the role of the SMA, and in particular the more anterior pre-SMA, in premovement activity associated with the readiness for action. In this paper we review recent studies using event-related time-resolved fMRI methods to examine the time-course of activation changes within the SMA throughout the preparation, readiness and execution of action. These studies suggest that the preSMA plays a common role in encoding or representing actions prior to our own voluntary self-initiated movements, during motor imagery, and from the observation of others' actions. We suggest that the pre-SMA generates and encodes motor representations which are then maintained in readiness for action. (c) 2005 Elsevier B.V. All rights reserved.

Knowledge and policy action in urban development: if we know so much, why is the urban condition not improving?

In spite of the wealth generation potential of the world's large metropolitan cities, poor living conditions for much of the world's urban population persist. Although the city has been widely studied, urban policy often remains ineffective. The paper adopts a policy process approach to analyze the relationship between knowledge and governmental action. Impediments to improving urban policy are found in the inadequate capacity of government to act and in the politics of democratic decision-making. The paper recommends that a pragmatic view of knowledge generation be adopted.

Fiscal Year 2015 Report on the Condition of Affirmative Action, Diversity, and Multi-cultural Programs in State Government and Fiscal Year 2016 Plan, September 30, 2015

Each agency is invited and encouraged to send a representative to a quarterly Department of Administrative Services State Recruitment Coordinating Committee “Committee” meeting. This Committee conducts strategic planning sessions to identify top goals and initiatives for the next 2-3 years.