Formalizing and Analyzing Security Ceremonies with Heterogeneous Devices in ANP and PDL

In this paper, we describe efficient ontology integration model for better context inference based on distributed ontology framework. Context aware computing with inference based on ontology is widely used in distributed surveillance environment. In such a distributed surveillance environment, surveillance devices such as smart cameras may carry heterogeneous video data with different transmission ranges, latency, and formats. However even smart devices, they generally have small memory and power which can manage only part of ontology data. In our efficient ontology integration model, each of agents built in such devices get services not only from a region server, but also peer servers. For such a collaborative network, an effective cache framework that can handle heterogeneous devices is required for the efficient ontology integration. In this paper, we propose a efficient ontology integration model which is adaptive to the actual device demands and that of its neighbors. Our scheme shows the efficiency of model resulted in better context inference.

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On the use of multiple heterogeneous devices to speedup the execution of a computational model of the Human Immune System

Applied Mathematics and Computation ◽

10.1016/j.amc.2015.03.072 ◽

2015 ◽

Vol 267 ◽

pp. 304-313 ◽

Cited By ~ 2

Author(s):

T.M. do Nascimento ◽

J.M. de Oliveira ◽

M.P. Xavier ◽

A.B. Pigozzo ◽

R.W. dos Santos ◽

...

Keyword(s):

Immune System ◽

Computational Model ◽

Human Immune System ◽

Heterogeneous Devices ◽

Human Immune

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Effects of screen-responsive visualization on data comprehension

Information Visualization ◽

10.1177/14738716211038614 ◽

2021 ◽

Vol 20 (4) ◽

pp. 229-244

Author(s):

Sriram Karthik Badam ◽

Niklas Elmqvist

Keyword(s):

Completion Time ◽

Visual Representations ◽

Heterogeneous Devices ◽

Large Display ◽

Space Saving ◽

New Guidelines ◽

Alternative Designs ◽

Visual Interface ◽

Mobile Condition

Visualization interfaces designed for heterogeneous devices such as wall displays and mobile screens must be responsive to varying display dimensions, resolution, and interaction capabilities. In this paper, we report on two user studies of visual representations for large versus small displays. The goal of our experiments was to investigate differences between a large vertical display and a mobile hand-held display in terms of the data comprehension and the quality of resulting insights. To this end, we developed a visual interface with a coordinated multiple view layout for the large display and two alternative designs of the same interface – a space-saving boundary visualization layout and an overview layout – for the mobile condition. The first experiment was a controlled laboratory study designed to evaluate the effect of display size on the perception of changes in a visual representation, and yielded significant correctness differences even while completion time remained similar. The second evaluation was a qualitative study in a practical setting and showed that participants were able to easily associate and work with the responsive visualizations. Based on the results, we conclude the paper by providing new guidelines for screen-responsive visualization interfaces.

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