Road Accidents are on the rise due to the high amount of migration from the rural area to the urban areas, Urbanization people are now finding it easier to own cars and use it for their day to day activities. Due to that ...

Road Accidents are on the rise due to the high amount of migration from the rural area to the urban areas, Urbanization people are now finding it easier to own cars and use it for their day to day activities. Due to that ...

A theoretical study is presented of the flow of viscoplastic fluid through a Hele-Shaw cell that contains various kinds of obstructions. Circular and elliptical blockages of the cell are considered together with stepwise ...

The benefits of programming in a functional style are well known. In particular, algorithms that are expressed as compositions of functions operating on series/vectors/streams of data elements are much easier to ...

The benefits of programming in a functional style are well known. In particular, algorithms that are expressed as compositions of functions operating on series/vectors/streams of data elements are much easier to ...

The benefits of programming in a functional style are well known. In particular, algorithms that are expressed as compositions of functions operating on series/vectors/streams of data elements are much easier to ...

The paper describes some experiments with a visual agnosia patient who has lost the abillity to perceive subjective contours. The patient's interpretations of simple examples of occlusion indicate that he fails to ...

How much damage can a malicious tiny device cause in a single-hopwireless network? Imagine two players, Alice and Bob, who want toexchange information. Collin, a malicious adversary, wants to preventthem from communicating. ...

Office automation systems have become an essential tool for the operation of the modern office. With the emphasis of a modern office being placed on efficiency and ease of communication, office automation systems have ...

This paper takes a prescriptive stance on how to establish the information-processing foundations for taking action and making decisions in office work from an open system perspective. We propose due process as a ...

The 1989 AI Lab Winter Olympics will take a slightly different twist from previous Olympiads. Although there will still be a dozen or so athletic competitions, the annual talent show finale will now be a display not ...

We prove an $\Omega(n \log n)$ lower bound on the number ofnon-busywaiting memory accesses by any deterministic algorithm solving$n$ process mutual exclusion that communicates via shared registers.The cost of the algorithm ...

The computational metaphor which proposes the comparison of processes of mind to realizable or imaginable computer activities suggests a number of educational concerns. This paper discusses some of those concerns ...

The purpose of this thesis is to define a “local” version of Ozsváth and Szabó’s Heegaard Floer homology HFL^ for links in the 3-sphere, i.e. a Heegaard Floer homology HFT^ for tangles in the 3-ball. The decategorification ...

In this paper we present a class of algorithms for similarity learning on spaces of images. The general framework that we introduce is motivated by some well-known hierarchical pre-processing architectures for object ...

Typestate systems ensure many desirable properties of imperativeprograms, including initialization of object fields and correct use ofstateful library interfaces. Abstract sets with cardinalityconstraints naturally ...

The Internet of Things (IoT) has generated a large amount of research interest across a wide variety of technical areas. These include the physical devices themselves, communications among them, and relationships between ...

A description is given of how edge erase of prismatic objects appear through a television camera serving as visual input to a computer. Two types of edge-finding predicates are proposed and compared, one linear in intensity, ...

"Expectation-Maximization'' (EM) algorithm and gradient-based approaches for maximum likelihood learning of finite Gaussian mixtures. We show that the EM step in parameter space is obtained from the gradient via a ...