This paper presents a new system for non-visual navigation of spreadsheet tables using synthesis speech. The purpose is to provide a flexible hierarchical non-visual navigation for tables in Excel. The hierarchical view of the spreadsheet contents along with the user ability to select the table provides more flexibility than current assistive technologies. The proposed system allows the user to...

Certain hierarchical laminates with a wide separation of length scales are known theoretically to have optimal transport and mechanical properties. We derive analytical expressions for the n-point probability functions that statistically characterize the microstructure for more general hierarchical laminates with an arbitrary number of stages and a finite separation of length scales. Using two-...

abstract purpose of this paper: the objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (topsis) approach to evaluate the most suitable rfid-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. design/methodology/approach: resear...

according to a basic prediction made by the revised hierarchical model (rhm,kroll & stewart, 1994), there is no l2 conceptual connection at the beginning stages of language learning as l2 learners mostly rely on l1 conceptual connections to retrieve the meaning of the l2 words.with increasing proficiency, however, there would be a direct access from l2 to the conceptual system. available litera...

Frontal and parietal regions are associated with some of the most complex cognitive functions, and several frontoparietal resting-state networks can be observed in wakefulness. We used functional magnetic resonance imaging data acquired in polysomnographically validated wakefulness, light sleep, and slow-wave sleep to examine the hierarchical structure of a low-frequency functional brain networ...

Prochaska and colleagues’ (e.g., Prochaska, DiClemente, & Norcross, 1992) stages-ofchange theory was employed in the current study to reconceptualize the assessment of motivation to learn. We used the stages-of-change framework to develop and test a multidimensional measure of learning motivation using 3 independent samples. The pattern of relationships among the learning stages and learning cr...

By using hierarchical table-lookup vector quantization (HTVQ) to quantize the large dimensional input vectors successively in stages, combined with any convenient VQ design algorithm for the last stage quantization , the encoder-decoder system can be designed symmetrically, implemented mainly by table-lookups, no extra arithmetic computation, which is amenable to efficient software and hardware...

The current paper shows a neuro-robotics experiment on developmental learning of goal-directed actions. The robot was trained to predict visuo-proprioceptive flow of achieving a set of goal-directed behaviors through iterative tutor training processes. The learning was conducted by employing a dynamic neural network model which is characterized by their multiple time-scale dynamics. The experim...

In this paper Boolean filters and a variation of these, FIR-Boolean hybrid filters are proposed for realizing the prediction stages of a multiresolution lossless image compression structure. Optimal and adaptive Boolean filters are used for prediction in The proposed predictors performance is compared to the performance of other lossless multiresolution methods: the hierarchical interpolation s...

Human deep sleep is characterized by reduced sensory activity, responsiveness to stimuli, and conscious awareness. Given its ubiquity and reversible nature, it represents an attractive paradigm to study the neural changes which accompany the loss of consciousness in humans. In particular, the deepest stages of sleep can serve as an empirical test for the predictions of theoretical models relati...