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In the last years the quantity of text documents is increasing continually and automatic document classification is an important challenge. In the text document classification the training step is essential in obtaining good results. The quality of learning depends on the dimension of the training data. When working with huge learning data sets, problems regarding the training time that increases exponentially are occurring. In this paper we are presenting a method that allows working with huge data sets into the training step without increasing exponentially the training time and without significantly decreasing the classification accuracy.
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In this paper we present an intelligent way of organizing learning material in an adaptive educational hypermedia system. We describe the use of instructional metadata which facilitates both the detection of student learning style and the application of various adaptation techniques. The advantage of our approach is that it is independent of a particular learning style model. Furthermore, the author has to supply only the annotated learning content (the static description) while the adaptation logic (the dynamic description) is provided by the system. The approach is implemented in an adaptive educational system called WELSA and illustrated with a course module in the area of Artificial Intelligence.
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In MANETS, node mobility induces structural changes for routing. We propose a route discovery algorithm for MANET based on the link-cluster architecture. The algorithm selects the clusterheads and gateway nodes, and then builds routing tables for nodes both inside and outside the cluster. The algorithm attempts to minimize the number of clusterheads and gateway nodes to avoid storing redundant data. For intra-cluster routing, the shortest paths are maintained. For inter-cluster routing, we implement routing on-demand (the shortest paths are maintained only for the nodes that need to send packets). The proposed algorithm adapts to arbitrary movement of nodes, and joining and/or leaving of existent nodes.
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Trust is essential in human interaction and this naturally reflects within computer science context, in particular inside internet-based communities. In this work we present an approach based on social networks, which revealed several useful properties, as the small world effect, that can be usefully exploited in addressing the question of trust. We aim at reproducing the behaviour individuals adopt in their life when they establish and maintain trust relationships, sending queries to collect reputations in order to estimate how much trust in new acquaintances. We also consider issues as query forwarding and lifecycle of trusting relationships, aiming at building an effective and efficient model for trust management.
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Nowadays, a large number of planning systems exist. The majority of them are either applicable only to specific domains (domain dependent) or support only plan generation, but not plan execution and supervision. This paper presents Agent Planning Package (APP), a new domain independent planner which facilitates the creation of intelligent agents. Through the use of APP, agents can generate plans within their operating environment, as well as execute them and supervise the execution. Furthermore, APP supports online changes to the planning problem and domain, as well as creation of multiple plans and plans which contain alternative paths of execution.
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We propose a model of a middleware system enabling personalized web search for users with different preferences. We integrate both inductive and deductive tasks to find user preferences and consequently best objects. The model is based on modeling preferences by fuzzy sets and fuzzy logic. We present the model-theoretic semantics for fuzzy description logic f-EL which is the motivation of creating a model for fuzzy RDF. Our model was experimentally implemented and the integration was tested.
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In this paper we simulate the performance of a load balancing scheme. In particular, we study the
application of the Extrapolated Diffusion (EDF) method for the efficient parallelization
of a simple `atmospheric' model. Our model involves the numerical solution of the steady state
Navier-Stokes (NS) equations in the horizontal plane and random load values, corresponding to
the physics
computations, in the vertical plane. For the numerical solution of NS
equations we use the Local Modified Successive Overrelaxation (LMSOR) method with local parameters
thus avoiding the additional cost caused by the global communication of the involved parameter
ω in the classical SOR method. We have implemented an efficient domain decomposition
technique by using a larger number of processors in the areas of the domain with heavier work
load. Our results show that in certain cases we have a gain as much as approximately 45% in
execution time when our load balancing scheme is applied.
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Optical Multi-Trees with Shuffle Exchange (OMTSE), recently proposed, is an efficient model of optoelectronic parallel computer. The OMTSE interconnection system consists of n2 factor networks called TSE networks, which are organized in the form of an n × n matrix. Each factor network has n number of leaf nodes. The network has a total of 3 n3/2 nodes. The diameter and bisection width of the network is 6log n-1 and n3/4 respectively. In this paper we present a synchronous MIMD algorithm to find the maximum and minimum of n (n-1)2 data elements on OMTSE with (4log n + 4) electronic moves and 3 optical moves.
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This paper discusses the distributed nature of airborne software intensive systems. The concept of fly-by-wire, the issues of safety, component communication, and certification are on the forefront of modern airborne applications. Since the communication between variety of on-board systems and subsystems is of paramount importance, the paper discusses the properties of new bus standard based on the Ethernet protocol gaining recognition and widespread use in large commercial aircraft. Avionics Full Duplex Switched Ethernet (AFDX) addresses quality of service, determinism, and reliability required in an aircraft environment. AFDX has reduced the cost of aircraft data networks, increased network capability, and supported determinism required by the airborne system certification guidelines system.
