The orchestration of simple motor tasks by the cerebellum results in coordinated movement and the maintenance of balance. The cerebellum integrates sensory and cortical information to generate the signals required for the coordinated execution of simple motor tasks. These signals originate in the firing rate of Purkinje cells, each of which integrates sensory and cortical information conveyed b...

In implicit human computer interaction, computers are required to understand users’ actions and intentions so as to provide proactive services. Visual processing has to detect and understand human actions and then transform them as the implicit input. In this paper an adaptive vision system is presented to solve visual processing tasks in dynamic meeting context. Visual modules and dynamic cont...

The current review focuses on how exposure to linguistic input, and count nouns in particular, affect performance on various cognitive tasks, including individuation, categorization and category learning, and inductive inference. We review two theoretical accounts of effects of words. Proponents of one account argue that words have top-down effects on cognitive tasks, and, as such, function as ...

We designed a hand writing input system as a dictation tool to support hearing-impaired students in class. As numerous references to formulae and figures even during conversations in a mathematics class,a hand-writing input system is very useful. As these tasks require promptness , we designed some special edit functions to input content using premade one. Moreover to adjust to individual usabi...

NMCS (networked measurement–control systems) are widely used in applications ranging from difficult process control to simple discrete manufacturing. Usually, these systems impose real-time requirements on the nodes and communication networks (Kopetz, 1997; Sha and Sathaye, 1995). Stankovic (1988) defines realtime computing systems as those systems in which the correctness of the system depends...

When natural language processing tasks overlap in their linguistic input space, they can be technically merged. Applying machine learning algorithms to the new joint task and comparing the results of joint learning with disjoint learning of the original tasks may bring to light the linguistic relatedness of the two tasks. We present a joint learning experiment with dependency parsing and semant...

The ability to process and integrate cross-modal input is important for many everyday tasks. The current paper reviews theoretical and empirical work examining cross-modal processing with a focus on recent findings examining infants' and children's processing of arbitrary auditory-visual pairings. The current paper puts forward a potential mechanism that may account for modality dominance effec...

In this paper, we discuss interaction interoperability in Collaborative Virtual Environments (CVE), intended to mean the ability of two or more users to cooperate despite the heterogeneity of their interfaces. To allow such interoperability, rather than focusing on the de-coupling of input devices from interaction techniques and from interaction tasks, we suggest integrating interactive systems...

Trained recurrent networks are powerful tools for modeling dynamic neural computations. We present a target-based method for modifying the full connectivity matrix of a recurrent network to train it to perform tasks involving temporally complex input/output transformations. The method introduces a second network during training to provide suitable "target" dynamics useful for performing the tas...

The objectives of this task are both to conduct research on seismic hazards, and to provide relevant input on the expected levels of these hazards to other tasks. Other tasks requiring this input include those dealing with inventory, fragility curves, rehabilitation strategies and demonstration projects. The corresponding input is provided in various formats depending on the intended use: eithe...