A modeling method for representing belt object deformation is proposed. Deformation of belt objects such as film circuit boards or flexible circuit boards must be estimated for automatic manipulation and assembly. In this paper, we assume that deformation of an inextensible belt object can be described by the shape of its central axis in a longitudinal direction called “the spine line” and line...

This paper presents a distributed voltage regulation method based on multi-agent system control and network self-organization for large distribution network. The autonomously organizes itself into small subnetworks through the epsilon decomposition of sensitivity matrix, agents group themselves these with communication links being determined. Each subnetwork controls its by locating closest loc...

Error-correcting codes with limited errors and higher spectral efficiency are the main concern for wireless communications. In current situation, research is increasing daily to satisfy growing demand users improved QoS. Adaptive Antenna Grouping (AAG) a multilevel space–time trellis coding scheme in Multi-User Massive MIMO system better option provide flexible data transfer speeds, encoding ga...

this paper presents a gaussian radial basis function neural network based on sliding mode control for trajectory tracking and vibration control of a flexible joint manipulator. to study the effectiveness of the controllers, designed controller is developed for tip angular position control of a flexible joint manipulator. the adaptation laws of designed controller are obtained based on sliding m...

Perceptual grouping has traditionally been thought to be governed by innate, universal principles. However, recent work has found differences in Japanese and English speakers' non-linguistic perceptual grouping, implicating language in non-linguistic perceptual processes (Iversen, Patel, & Ohgushi, 2008). Two experiments test Japanese- and English-learning infants of 5-6 and 7-8 months of age t...

The present study further investigates findings of impairment in Gestalt, but not global processing in ASD (Brosnan, Scott, Fox & Pye, 2004). Nineteen males with ASD and nineteen typically developing males matched by non-verbal ability, took part in five Gestalt perceptual grouping tasks. Results showed that performance differed according to grouping type. The ASD group showed typical performan...

In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the information of the initial attribute and reduces the number of its values. In this paper, we propose a new grouping method MODL founded on a Bayesian approach. The method relies on a model space of grouping models and on ...

BACKGROUND Aggregatibacter actinomycetemcomitans is genetically heterogeneous and comprises distinct clonal lineages that may have different virulence potentials. However, limited information of the strain-to-strain genomic variations is available. METHODOLOGY/PRINCIPAL FINDINGS The genome sequences of 11 A. actinomycetemcomitans strains (serotypes a-f) were generated de novo, annotated and c...

We address the challenges of how to model human perceptual grouping in random dot arrays and how perceptual grouping affects human number estimation in these arrays. We introduce a modeling approach relying on a modified k-means clustering algorithm to formally describe human observers' grouping behavior. We found that a default grouping window size of approximately 4° of visual angle describes...

Grouping is an essential process of computer vision. However, measurement of grouping results is not straightforward and is often heuristic. We propose here a method for measuring grouping quality which is based on the following observation: the grouping result provides some information about the true, unknown grouping and reduces its uncertainty. This uncertainty is evaluated by the number of ...