We present MoCoShoP, a system that supports the collaborative process of shopping and planning furniture and interior items. The system consists of a mobile application running on the users' mobile phones and an interactive surface application deployed on shared planning desks in the furniture retail store environment. Users belonging together share a virtual shopping cart. By scanning labels a...

A significant interest for Web process design is to discover the discrepancies between the users' transaction process sequences and the desired process sequence for the Web transaction process. Sequence data analysis has been an important approach to analyzing Web log data in the e-commerce field. There have been many methods for sequence data analysis; however, few existing methods can be appl...

E-shopping has grown considerably in the last years, providing customers with convenience, merchants with increased sales, and financial entities with an additional source of income. However, it may also be the source of serious threats to privacy. In this paper, we review the e-shopping process, discussing attacks or threats that have been analyzed in the literature for each of its stages. By ...

The success of knowledge discovery in real-world domains often depends on our ability to handle data imperfections. Here we study this problem in the framework of association mining, seeking to identify frequent itemsets in transactional databases where the presence of some items in a given transaction is unknown. We want to use the frequent itemsets to predict “missing items”: based on the par...

Jaydev Desai, Chau-Chang Wang, Milo s Zefran and Vijay Kumar General Robotics and Active Sensory Perception (GRASP) Laboratory, University of Pennsylvania 3401 Walnut Street, Room 301C, Philadelphia, PA 19104-6228 Abstract We address the motion planning for \ xtureless" material-handling with multiple manipulators on nonholonomic carts. The mobile manipulators possess the ability to manipulate ...

Cocaine- and amphetamine-regulated transcript (CART) peptides are novel neurotransmitters that are implicated in several physiological functions such as control of feeding behavior, drug reward, sensory processing, stress, and development. Although a majority of studies have examined the role of CART in the brain, less is known about its function in the periphery. Therefore, the goals of this s...

Cocaine-and Amphetamine Regulated Transcript (CART) peptide is expressed in the brain, endocrine and neuroendocrine systems and secreted into the serum. It is thought to play a role in regulation of hypothalamic pituitary functions. Here we report a spatial and temporal analysis of Cart expression in the pituitaries of adult and developing normal and mutant mice with hypopituitarism. We found t...

Peptides from cocaine- and amphetamine-regulated transcript (CART) reduce food intake in rats when injected into the lateral ventricle. Hypothalamic and hindbrain sites important in the control of feeding contain CART-immunoreactive fibers. To further define the site of CART's anorectic action, we compared feeding and other behavioral responses to third or fourth ventricular (3V, 4V) CART-(55-1...

The machine learning is a domain where machine performs intelligent works. To make a machine intelligent various technique and approaches are utilized, data mining is a subdomain of the machine learning. Data mining is an application by which machine automatically finds patterns over the input data, and using these estimated patterns data is recognized and patterns are classified. For that kind...

car-following models are among the most important components of micro traffic flow simulation which is studiedby transportation experts to evaluate new applications of intelligent transportation systems. until now, several carfollowingmodels have been proposed. an obvious disadvantage of the former models is the great number of parameterswhich are difficult to calibrate. in this paper, a car-fo...