Introduction. The presses are powered machines having stationary beds and slides (rams) which have controlled sliding motion towards away from the beds, guided by frames. Metal can be worked in power press a wide verity of ways like punching, shearing, forming, etc. Crankshaft is one basic components for transmission, transmits rotary to mechanical press. It around this element that all stresse...

Multi-person pose estimation methods generally follow top-down and bottom-up paradigms, both of which can be considered as two-stage approaches thus leading to the high computation cost low efficiency. Towards a compact efficient pipeline for multi-person task, in this paper, we propose represent human parts points present novel body representation, leverages an adaptive point set including cen...

Arabic is the fourth most widely spoken language in the world, and is characterised by a high rate of inflection. To cater for this, most Arabic information retrieval systems incorporate a stemming stage. Most existing Arabic stemmers are derived from English equivalents; however, unlike English, most affixes in Arabic are difficult to discriminate from the core word. Removing incorrectly ident...

A bs t rac t and-egg problem can be solved by using a cooperative computation in a parallel network. The computation performs a parallel, iterative search which settles on both the reference frame and the shape description at the same time. One way to achieve viewpoint-invariant shape recognition is to impose a canonical, object-based frame of reference on a shape and to describe the positions,...

We present a voter verifiable Internet voting scheme which provides anonymity and eliminates the danger of vote selling even if the computer used by the voter cannot be fully trusted. The ballots cast remain anonymous even the machine does not know the choice of the voter. It makes no sense to buy votes the voter can cheat the buyer even if his machine cooperates with the buyer. Nevertheless, t...

We present average case models of algorithms for learning Conjunctive Normal Form (CNF, i.e., conjunctions of disjunctions) and Disjunctive Normal Form (DNF, i.e., disjunctions of conjunctions). Our goal is to predict the expected error of the learning algorithm as a function of the number n of training examples, averaging over all sequences of n training examples. We show that our average case...

Applying GAC on conjunctions of constraints can lead to more powerful pruning [1]. We show that there exists a simple heuristic for deciding which constraints might be useful to conjoin. The result is a useful automatic way of improving a CSP model for GAC solving.

Selective Tuning (ST) [1] presents a framework for modeling attention and in this paper we show how it performs in visual search tasks. Two types of tasks are presented, a motion search task and an object search task. Both tasks are successfully tested with different feature and conjunction visual searches.