Unlike mainstream information visualization, ambient displays do not require active attention, which makes existing information visualization design and evaluation methodologies not readily applicable. In this paper, we present a new evaluation methodology for ambient displays. The methodology is then applied to a real-world case study, focusing on the effectiveness, efficiency, comprehension a...

Building on the theory of interface automata by de Alfaro and Henzinger we design an interface language for Lynch’s I/O automata, a popular formalism used in the development of distributed asynchronous systems, not addressed by previous interface research. We introduce an explicit separation of assumptions from guarantees not yet seen in other behavioral interface theories. Moreover we derive t...

We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Markov models, but supports recurrent networks processing style and allows to exploit the supervised learning paradigm while using maximum likelihood estimation.

resource allocation and optimal leveling are among the top challenges in project management. this paper presents a dea-based procedure for determining an optimal level of inputs to produce a fixed level of outputs. to achieve this goal, we assume that the levels of outputs can be forecasted in the next season and the procedure will determine optimal level of inputs for all dmus. such as some of...

one of the major problems in data envelopment analysis (dea) is to determine the projection of inefficient decision making units (dmus) into the efficient frontier. in conventional dea models, inputs and outputs of inefficient dmus alter arbitrarily for reaching to the efficient frontier. nevertheless, sometimes the ability of dmus is defined and restricted. moreover, there are situations in th...

introduction: database evaluation indicators include management, content, technical, and search indicators. a database must have a high level of information retrieval. as search features is one of the most important factors in database evaluation, this research tried to evaluate search input and output in online databases of isfahan university of medical sciences (iums) central library website ...

This paper deals with artificial neural network (ANN) architecture, the multilayer Feed-forward (MLFF) network with back propagation learning. The training of an artificial neural network involves two passes. In the forward pass, the input signals propagate from the network input to the output. In the reverse pass the calculated error signals propagate backwards through the network where they a...