Enterprise Modelling Approach based on Maturity and Business Scope perspectives

This paper introduces a framework that supports users to implement enterprise modelling within collaborative companies. These enterprise models are the basis for a holistic interoperability measurement and management methodology which will be presented in the second part of the paper. The discipline of enterprise modelling aims at capturing all dimensions of an enterprise in a simplified model. Thus enterprise models are the appropriate basis for managing collaborative enterprise as they reduce the complexity of interoperability problems. Therefore, a first objective of this paper is to present an approach that enables companies to get the most effect out of enterprise modelling in a collaborative environment based on the maturity of their organisation relative to modelling. Within this first step, the user will get recommendations e.g. for the correct modelling language as well as the right level of detail.

Higher Education Governance in Vietnam: University Action, the State and Changing Relationships

Diese Dissertation stellt eine Studie da, welche sich mit den Änderungen in der Governance der Hochschulbildung in Vietnam beschäftigt. Das zentrale Ziel dieser Forschungsarbeit ist die Untersuchung der Herkunft und Änderung in der Beziehung der Mächte zwischen dem vietnamesischen Staat und den Hochschulbildungsinstituten (HI), welche hauptsächlich aus der Interaktion dieser beiden Akteure resultiert. Die Macht dieser beiden Akteure wurde im sozialen Bereich konstruiert und ist hauptsächlich durch ihre Nützlichkeit und Beiträge für die Hochschulbildung bestimmt. Diese Arbeit beschäftigt sich dabei besonders mit dem Aspekt der Lehrqualität. Diese Studie nimmt dabei die Perspektive einer allgemeinen Governance ein, um die Beziehung zwischen Staat und HI zu erforschen. Zudem verwendet sie die „Resource Dependence Theory“ (RDT), um das Verhalten der HI in Bezug auf die sich verändernde Umgebung zu untersuchen, welche durch die Politik und eine abnehmende Finanzierung charakterisiert ist. Durch eine empirische Untersuchung der Regierungspolitik sowie der internen Steuerung und den Praktiken der vier führenden Universitäten kommt die Studie zu dem Schluss, dass unter Berücksichtigung des Drucks der Schaffung von Einkommen die vietnamesischen Universitäten sowohl Strategien als auch Taktiken entwickelt haben, um Ressourcenflüsse und Legitimität zu kontrollieren. Die Entscheidungs- und Zielfindung der Komitees, die aus einer Mehrheit von Akademikern bestehen, sind dabei mächtiger als die der Manager. Daher werden bei initiativen Handlungen der Universitäten größtenteils Akademiker mit einbezogen. Gestützt auf die sich entwickelnden Muster der Ressourcenbeiträge von Akademikern und Studierenden für die Hochschulbildung prognostiziert die Studie eine aufstrebende Governance Konfiguration, bei der die Dimensionen der akademischen Selbstverwaltung und des Wettbewerbsmarktes stärker werden und die Regulation des Staates rational zunimmt. Das derzeitige institutionelle Design und administrative System des Landes, die spezifische Gewichtung und die Koordinationsmechanismen, auch als sogenanntes effektives Aufsichtssystem zwischen den drei Schlüsselakteuren - der Staat, die HI/Akademiker und die Studierenden – bezeichnet, brauchen eine lange Zeit zur Detektion und Etablierung. In der aktuellen Phase der Suche nach einem solchen System sollte die Regierung Management-Tools stärken, wie zum Beispiel die Akkreditierung, belohnende und marktbasierte Instrumente und das Treffen informations-basierter Entscheidungen. Darüber hinaus ist es notwendig die Transparenz der Politik zu erhöhen und mehr Informationen offenzulegen.

Sensor-based Control of Chewing and Rumination Behavior of Dairy Cows

The measurement of feed intake, feeding time and rumination time, summarized by the term feeding behavior, are helpful indicators for early recognition of animals which show deviations in their behavior. The overall objective of this work was the development of an early warning system for inadequate feeding rations and digestive and metabolic disorders, which prevention constitutes the basis for health, performance, and reproduction. In a literature review, the current state of the art and the suitability of different measurement tools to determine feeding behavior of ruminants was discussed. Five measurement methods based on different methodological approaches (visual observance, pressure transducer, electrical switches, electrical deformation sensors and acoustic biotelemetry), and three selected measurement techniques (the IGER Behavior Recorder, the Hi-Tag rumination monitoring system and RumiWatchSystem) were described, assessed and compared to each other within this review. In the second study, the new system for measuring feeding behavior of dairy cows was evaluated. The measurement of feeding behavior ensues through electromyography (EMG). For validation, the feeding behavior of 14 cows was determined by both the EMG system and by visual observation. The high correlation coefficients indicate that the current system is a reliable and suitable tool for monitoring the feeding behavior of dairy cows. The aim of a further study was to compare the DairyCheck (DC) system and two additional measurement systems for measuring rumination behavior in relation to efficiency, reliability and reproducibility, with respect to each other. The two additional systems were labeled as the Lely Qwes HR (HR) sensor, and the RumiWatchSystem (RW). Results of accordance of RW and DC to each other were high. The last study examined whether rumination time (RT) is affected by the onset of calving and if it might be a useful indicator for the prediction of imminent birth. Data analysis referred to the final 72h before the onset of calving, which were divided into twelve 6h-blocks. The results showed that RT was significantly reduced in the final 6h before imminent birth.

Intelligence by Design: Principles of Modularity and Coordination for Engineerin

All intelligence relies on search --- for example, the search for an intelligent agent's next action. Search is only likely to succeed in resource-bounded agents if they have already been biased towards finding the right answer. In artificial agents, the primary source of bias is engineering. This dissertation describes an approach, Behavior-Oriented Design (BOD) for engineering complex agents. A complex agent is one that must arbitrate between potentially conflicting goals or behaviors. Behavior-oriented design builds on work in behavior-based and hybrid architectures for agents, and the object oriented approach to software engineering. The primary contributions of this dissertation are: 1.The BOD architecture: a modular architecture with each module providing specialized representations to facilitate learning. This includes one pre-specified module and representation for action selection or behavior arbitration. The specialized representation underlying BOD action selection is Parallel-rooted, Ordered, Slip-stack Hierarchical (POSH) reactive plans. 2.The BOD development process: an iterative process that alternately scales the agent's capabilities then optimizes the agent for simplicity, exploiting tradeoffs between the component representations. This ongoing process for controlling complexity not only provides bias for the behaving agent, but also facilitates its maintenance and extendibility. The secondary contributions of this dissertation include two implementations of POSH action selection, a procedure for identifying useful idioms in agent architectures and using them to distribute knowledge across agent paradigms, several examples of applying BOD idioms to established architectures, an analysis and comparison of the attributes and design trends of a large number of agent architectures, a comparison of biological (particularly mammalian) intelligence to artificial agent architectures, a novel model of primate transitive inference, and many other examples of BOD agents and BOD development.

Safe Distributed Coordination of Heterogeneous Robots through Dynamic Simple Temporal Networks

Research on autonomous intelligent systems has focused on how robots can robustly carry out missions in uncertain and harsh environments with very little or no human intervention. Robotic execution languages such as RAPs, ESL, and TDL improve robustness by managing functionally redundant procedures for achieving goals. The model-based programming approach extends this by guaranteeing correctness of execution through pre-planning of non-deterministic timed threads of activities. Executing model-based programs effectively on distributed autonomous platforms requires distributing this pre-planning process. This thesis presents a distributed planner for modelbased programs whose planning and execution is distributed among agents with widely varying levels of processor power and memory resources. We make two key contributions. First, we reformulate a model-based program, which describes cooperative activities, into a hierarchical dynamic simple temporal network. This enables efficient distributed coordination of robots and supports deployment on heterogeneous robots. Second, we introduce a distributed temporal planner, called DTP, which solves hierarchical dynamic simple temporal networks with the assistance of the distributed Bellman-Ford shortest path algorithm. The implementation of DTP has been demonstrated successfully on a wide range of randomly generated examples and on a pursuer-evader challenge problem in simulation.

A behavior-based scheme using reinforcement learning for autonomous underwater vehicles

This paper presents a hybrid behavior-based scheme using reinforcement learning for high-level control of autonomous underwater vehicles (AUVs). Two main features of the presented approach are hybrid behavior coordination and semi on-line neural-Q_learning (SONQL). Hybrid behavior coordination takes advantages of robustness and modularity in the competitive approach as well as efficient trajectories in the cooperative approach. SONQL, a new continuous approach of the Q_learning algorithm with a multilayer neural network is used to learn behavior state/action mapping online. Experimental results show the feasibility of the presented approach for AUVs

Dynamic bandwidth management as part of an integrated network management system based on distributed agents

We present a system for dynamic network resource configuration in environments with bandwidth reservation and path restoration mechanisms. Our focus is on the dynamic bandwidth management results, although the main goal of the system is the integration of the different mechanisms that manage the reserved paths (bandwidth, restoration, and spare capacity planning). The objective is to avoid conflicts between these mechanisms. The system is able to dynamically manage a logical network such as a virtual path network in ATM or a label switch path network in MPLS. This system has been designed to be modular in the sense that in can be activated or deactivated, and it can be applied only in a sub-network. The system design and implementation is based on a multi-agent system (MAS). We also included details of its architecture and implementation

I-SS: integrated supervision systems approach based on interactive components

Process supervision is the activity focused on monitoring the process operation in order to deduce conditions to maintain the normality including when faults are present Depending on the number/distribution/heterogeneity of variables, behaviour situations, sub-processes, etc. from processes, human operators and engineers do not easily manipulate the information. This leads to the necessity of automation of supervision activities. Nevertheless, the difficulty to deal with the information complicates the design and development of software applications. We present an approach called "integrated supervision systems". It proposes multiple supervisors coordination to supervise multiple sub-processes whose interactions permit one to supervise the global process

A prediction model for establishing the disability degree in adults with spinal cord injury: results based on WHO-DAS II perspective

Objective: To establish a prediction model of the degree of disability in adults with Spinal CordInjury (SCI ) based on the use of the WHO-DAS II . Methods: The disability degree was correlatedwith three variable groups: clinical, sociodemographic and those related with rehabilitation services.A model of multiple linear regression was built to predict disability. 45 people with sci exhibitingdiverse etiology, neurological level and completeness participated. Patients were older than 18 andthey had more than a six-month post-injury. The WHO-DAS II and the ASIA impairment scale(AIS ) were used. Results: Variables that evidenced a significant relationship with disability were thefollowing: occupational situation, type of affiliation to the public health care system, injury evolutiontime, neurological level, partial preservation zone, ais motor and sensory scores and number ofclinical complications during the last year. Complications significantly associated to disability werejoint pain, urinary infections, intestinal problems and autonomic disreflexia. None of the variablesrelated to rehabilitation services showed significant association with disability. The disability degreeexhibited significant differences in favor of the groups that received the following services: assistivedevices supply and vocational, job or educational counseling. Conclusions: The best predictiondisability model in adults with sci with more than six months post-injury was built with variablesof injury evolution time, AIS sensory score and injury-related unemployment.

Propiedades psicométricas del test de competencias motoras Bruininks Oseretsky en versión corta para niños entre 4 y 7 años en Chía y Bogotá – Colombia.

Existen importantes pruebas de valoración que miden habilidades o competencias motoras en el niño; a pesar de ello Colombia carece de estudios que demuestren la validez y la confiabilidad de un test de medición que permita emitir un juicio valorativo relacionado con las competencias motoras infantiles, teniendo presente que la intervención debe basarse en la rigurosidad que exigen los procesos de valoración y evaluación del movimiento corporal. Objetivo. El presente estudio se centró en determinar las propiedades psicométricas del test de competencias motoras Bruininiks Oseretsky –BOT 2- segunda edición. Materiales y métodos. Se realizó una evaluación de pruebas diagnósticas con 24 niños aparentemente sanos de ambos géneros, entre 4 y 7 años, residentes en las ciudades de Chía y Bogotá. La evaluación fue realizada por 3 evaluadores expertos; el análisis para consistencia interna se realizó utilizando el Coeficiente Alfa de Cronbach, el análisis de reproducibilidad se estableció a través del Coeficiente de Correlación Intraclase –CCI- y para el análisis de la validez concurrente se utilizó el Coeficiente de Correlación de Pearson, considerando un alfa=0.05. Resultados. Para la totalidad de las pruebas, se encontraron altos índices de confiabilidad y validez. Conclusiones. El BOT 2 es un instrumento válido y confiable, que puede ser utilizado para la evaluación e identificación del nivel de desarrollo en que se encuentran las competencias motoras en el niño.

Descripción de la estructura organizacional del área de responsabilidad social de Davivienda en el año 2015

Este artículo emerge de la necesidad de documentar la operación, la evolución y los aprendizajes claves desarrollados a lo largo de la construcción, diseño y puesta en marcha de áreas de responsabilidad social y sostenibilidad en empresas Colombianas y extranjeras, bajo un contexto actual y real. El estudio de las variables antes mencionadas y la aplicación de una herramienta en el área de responsabilidad social del Banco Davivienda, permitió desarrollar un comparativo entre la teoría y la práctica, por lo que se logró construir un análisis de las políticas de sostenibilidad propias del banco, así como su ejecución y relación con las demás áreas organizacionales.

An artificial economy based on reinforcement learning and agent based modeling

In this paper, we employ techniques from artificial intelligence such as reinforcement learning and agent based modeling as building blocks of a computational model for an economy based on conventions. First we model the interaction among firms in the private sector. These firms behave in an information environment based on conventions, meaning that a firm is likely to behave as its neighbors if it observes that their actions lead to a good pay off. On the other hand, we propose the use of reinforcement learning as a computational model for the role of the government in the economy, as the agent that determines the fiscal policy, and whose objective is to maximize the growth of the economy. We present the implementation of a simulator of the proposed model based on SWARM, that employs the SARSA(λ) algorithm combined with a multilayer perceptron as the function approximation for the action value function.

Gestión de la cadena de suministros desde la dinámica de sistemas. Aproximación al mejoramiento de la toma de decisiones

El objetivo de este trabajo es hacer un estudio sobre la cadena de suministros en organizaciones empresariales desde la Dinámica de Sistemas y como esta puede aportar al desempeño y el control de las cadenas de suministros. Se buscará Abordar el cocimiento sobre tres perspectivas de Supply Chain y su relación con la dinámica de sistemas. También se buscará identificar los tipos de integración en las actividades de la gestión en la cadena de suministros y sus horizontes de planeación. Por último, se pretende analizar las aplicaciones de Supply Chain Management que se han basado en el uso de la metodología de dinámica de sistemas. Para esto, la investigación empezará por definir la problemática alrededor de unir estas dos áreas y definirá el marco teórico que fundan estas dos disciplinas. Luego se abordará la metodología usada por la Dinámica de Sistemas y los diferentes aspectos de la cadena de suministros. Se Ahondará en el acercamiento de las dos disciplinas y como convergen ayudando la SD a la SCM (Supply Chain Management). En este punto también se describirán los trabajos en los diferentes enfoques que se han hecho a partir de uso de la dinámica de sistemas. Por último, presentaremos las correspondientes conclusiones y comentarios acerca de este campo de investigación y su pertinencia en el campo de la Supply Chain. Esta investigación abarca dos grandes corrientes de pensamiento, una sistémica, a través de la metodología de dinámica de sistemas y la otra, lógico analítica la cual es usada en Supply Chain. Se realizó una revisión de la literatura sobre las aplicaciones de dinámica de sistemas (SD) en el área de Supply Chain, sus puntos en común y se documentaron importantes empleos de esta metodología que se han hecho en la gestión de la cadena de suministros.

KS3 mathematics : topic-based SATS practice : levels 5-8.

Aunque en octubre del año dos mil ocho se cancelaron las pruebas SATS los materiales de esta carpeta consolidan el aprendizaje de esos conocimientos fundamentales y preparan a los alumnos con el nivel adecuado para su paso a la etapa clave tres (Key Stage 3). La carpeta contiene un folleto con diferentes pruebas sobre números, álgebra, formas, estadística y probabilidad, y otro folleto con las respuestas para dar a los estudiantes la oportunidad de identificar las áreas en las que tienen los conocimientos más bajos y poder revisar estos, promoviendo así la autonomía en el trabajo escolar.

A Multi-agent Architecture with Distributed Coordination for an Autonomous Robot

Aquest treball proposa una nova arquitectura de control amb coordinació distribuïda per a un robot mòbil (ARMADiCo). La metodologia de coordinació distribuïda consisteix en dos passos: el primer determina quin és l'agent que guanya el recurs basat en el càlcul privat de la utilitat i el segon, com es fa el canvi del recurs per evitar comportaments abruptes del robot. Aquesta arquitectura ha estat concebuda per facilitar la introducció de nous components hardware i software, definint un patró de disseny d'agents que captura les característiques comunes dels agents. Aquest patró ha portat al desenvolupament d'una arquitectura modular dins l'agent que permet la separació dels diferents mètodes utilitzats per aconseguir els objectius, la col·laboració, la competició i la coordinació de recursos. ARMADiCo s'ha provat en un robot Pioneer 2DX de MobileRobots Inc.. S'han fet diversos experiments i els resultats han demostrat que s'han aconseguit les característiques proposades per l'arquitectura.