A Unified Load Generator for Geographically Distributed Generation ofNetwork Traffic

During the last decade, the Internet usage has been growing at an enormous rate which has beenaccompanied by the developments of network applications (e.g., video conference, audio/videostreaming, E-learning, E-Commerce and real-time applications) and allows several types ofinformation including data, voice, picture and media streaming. While end-users are demandingvery high quality of service (QoS) from their service providers, network undergoes a complex trafficwhich leads the transmission bottlenecks. Considerable effort has been made to study thecharacteristics and the behavior of the Internet. Simulation modeling of computer networkcongestion is a profitable and effective technique which fulfills the requirements to evaluate theperformance and QoS of networks. To simulate a single congested link, simulation is run with asingle load generator while for a larger simulation with complex traffic, where the nodes are spreadacross different geographical locations generating distributed artificial loads is indispensable. Onesolution is to elaborate a load generation system based on master/slave architecture.

Cambios en el uso de la lengua meta en el aula tras la introducción de Lgy 11 : Una revisión sistemática de literatura con el objetivo de investigar si ha cambiado el uso de la lengua meta en la enseñanza de lenguas modernas tras la introducción de Lgy 11

Resumen: La tesina investiga si ha cambiado el uso de la lengua meta en la enseñanza de lenguas modernas en la escuela sueca tras el inicio de Lgy 11. El estudio se realiza a través de una revisión sistemática de literatura. Vemos que en nuestro campo de investigación faltan estudios profundos. Los estudios encontrados indican un aumento del uso de la lengua meta en el aula tras el inicio de Lgy 11. Sin embargo, en pocas situaciones parece cumplirse la norma que indica que todo lo esencial de la enseñanza debe realizarse en la lengua meta. Las unidades de gramática parecen ser el segmento de la enseñanza en el cual los profesores usan el sueco más extensamente. Según los estudios analizados solamente una profesora incorpora la lengua meta cuando enseña la gramática. No obstante, la mayoría de los profesores expresan que la gramática es una parte esencial de la enseñanza de lenguas modernas

La noción de lo esencial en la enseñanza de lenguas modernas según los profesores. : Entrevistas con cinco profesores sobre la norma "Todo lo esencial de la enseñanza debe realizarse en la lengua meta" de Gy11.

La tesina investiga cómo cinco profesores interpretan la norma de Gy11 que indica que todo lo esencial de la enseñanza de lenguas modernas debe realizarse en la lengua meta. Las entrevistas semiestructuradas indican que los profesores interpretan la norma de maneras parecidas, es decir, que los profesores deben usar la lengua meta lo máximo posible en la enseñanza. La mayoría de los profesores están de acuerdo con la norma, sin embargo, tienen varias críticas contra Skolverket y la formulación de la norma. Ninguno de los profesores ha cambiado su uso de la lengua meta en el aula debido a la norma.

Machine Learning Algorithms in Heavy Process Manufacturing

In a global economy, manufacturers mainly compete with cost efficiency of production, as the price of raw materials are similar worldwide. Heavy industry has two big issues to deal with. On the one hand there is lots of data which needs to be analyzed in an effective manner, and on the other hand making big improvements via investments in cooperate structure or new machinery is neither economically nor physically viable. Machine learning offers a promising way for manufacturers to address both these problems as they are in an excellent position to employ learning techniques with their massive resource of historical production data. However, choosing modelling a strategy in this setting is far from trivial and this is the objective of this article. The article investigates characteristics of the most popular classifiers used in industry today. Support Vector Machines, Multilayer Perceptron, Decision Trees, Random Forests, and the meta-algorithms Bagging and Boosting are mainly investigated in this work. Lessons from real-world implementations of these learners are also provided together with future directions when different learners are expected to perform well. The importance of feature selection and relevant selection methods in an industrial setting are further investigated. Performance metrics have also been discussed for the sake of completion.

Simulation model using meta heuristic algorithms for achieving optimal arrangement of storage bins in a sawmill yard

Bin planning (arrangements) is a key factor in the timber industry. Improper planning of the storage bins may lead to inefficient transportation of resources, which threaten the overall efficiency and thereby limit the profit margins of sawmills. To address this challenge, a simulation model has been developed. However, as numerous alternatives are available for arranging bins, simulating all possibilities will take an enormous amount of time and it is computationally infeasible. A discrete-event simulation model incorporating meta-heuristic algorithms has therefore been investigated in this study. Preliminary investigations indicate that the results achieved by GA based simulation model are promising and better than the other meta-heuristic algorithm. Further, a sensitivity analysis has been done on the GA based optimal arrangement which contributes to gaining insights and knowledge about the real system that ultimately leads to improved and enhanced efficiency in sawmill yards. It is expected that the results achieved in the work will support timber industries in making optimal decisions with respect to arrangement of storage bins in a sawmill yard.

Semantic Distributed Messaging Middleware

Messaging middleware provides asynchronous communication between services in distributed environments. However, security, reliability and performance issues compel such middleware to be distributed, and distribution throws up its own problems such as identifying messaging channels which could then be subscribed to. In particular, interested parties need to identify channels defined in remote locations while not knowing details of how they are defined. A common vocabulary using semantic descriptions offers a solution to this problem. In this paper, we describe the design and implementation of federated messaging middleware using semantic description of channels.

Chained Negotiation for Distributed Notification Services

Distributed notification services allow consumers and publishers of notifications to interact with different notification services. However, such a distributed infrastructure makes it difficult to share notifications between consumers when consumers are allowed to specify Quality of Service levels. In this paper, we present a chained negotiation engine, enabling distributed notification services to support negotiation and to reuse existing subscriptions. We demonstrate the benefit to the system as a whole by reducing load on service providers and enabling content to be shared.