A reconfigurable data-driven datapath architecture for ALUs is presented which may be used for custom computing machines (CCMs), Xputers (a class of CCMs) and other adaptable computer systems as well as for rapid prototyping of high speed datapaths. Fine grained paral-lelism is achieved by using simple reconfigurable processing elements which are called datapath units (DPUs). The word-oriented ...

This paper presents a method for the representation of mood in FACS-based facial expressions. To achieve this, a mapping of FACS Action Units (AUs) into the Pleasure-Arousal-Dominance (PAD) space is done. The PAD space is used as our mood model. From this mapping a set of rules are obtained, which compute the activation areas and intensities of each AU in the PAD. To validate these rules, we co...

This case study traces the development and use of a self-mapping exercise in the treatment of a youth who had been at risk for re-attempting suicide. A life skills exercise was modified to identify units of culture called memes from which a map of the youth's self was prepared. A successful treatment plan followed the mapping exercise. The process of self-map construction is presented along wit...

We examine the effectiveness of the ground-plane invisibility cloak generated from quasiconformal mapping of electromagnetic space. This cloak without anisotropy will generally lead to a lateral shift of the scattered wave, whose value is comparable to the height of the cloaked object, making the object detectable. This can be explained by the fact that the corresponding virtual space is thinne...

In this paper, self-stabilizing asynchronous distributed algorithms are given for the -out-ofexclusion problem, a generalization of the mutual exclusion problem, in which there are units of a resource, and any process can request up to units. We consider two network topologies, a tree and a unidirectional ring. The networks are anonymous except for one distinguished process. The ring algorithm ...

The information processing abilities of a multilayer neural network with a number of hidden units scaling as the input dimension are studied using statistical mechanics methods. The mapping from the input layer to the hidden units is performed by general symmetric Boolean functions, whereas the hidden layer is connected to the output by either discrete or continuous couplings. Introducing an ov...

Length, area, and volume share structural similarities enabling flexibility in reasoning for real-world applications. Deep understanding of structures can help teachers connect these concepts to support their students’ mathematical practices involving situations. In mathematics textbooks designed future teachers, definitions length, vary from procedural (e.g., use a ruler measure side lengths, ...

Selecting important information while accounting for repetitions is a hard task for both summarization and question answering. We propose a formal model that represents a collection of documents in a two-dimensional space of textual and conceptual units with an associated mapping between these two dimensions. This representation is then used to describe the task of selecting textual units for a...

Approaches to audio classification and retrieval tasks largely rely on detectionbased discriminative models. We submit that such models make a simplistic assumption in mapping acoustics directly to semantics, whereas the actual process is likely more complex. We present a generative model that maps acoustics in a hierarchical manner to increasingly higher-level semantics. Our model has two laye...

The syllable and the phoneme are two important units in the phonological structure of speech sounds. In the brain mapping literature, it remains unsolved as to whether there are separate brain regions mediating the processing of syllables and phonemes. Using functional magnetic resonance imaging (fMRI), we investigated the neural substrate of these phonological units with Chinese subjects. Resu...