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Your search keyword '"Data state"' showing total 8 results
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8 results on '"Data state"'

1. Genetic Algorithm Application for Enhancing State-Sensitivity Partitioning

Author

Sultan, Ammar Mohammed, Baharom, Salmi, Ghani, Abdul Azim Abd, Din, Jamilah, Zulzalil, Hazura, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, El-Fakih, Khaled, editor, Barlas, Gerassimos, editor, and Yevtushenko, Nina, editor

Published
2015
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3. A Method of XML Containing Data State in Emergency Plan Management Information System.

Author

Chen, Xin, Cui, Bin-ge, and Zhang, Feng

Abstract

In Web application system, the response time is one of the evaluating indicators of system performance, which is effected by many factors both software and hardware. Firstly, we propose a novel model to formalize text emergency plan of different kinds of crisis and emergency handling into a structuring dataset. Based on the data structure of emergency plan during development, we propose a method containing data state in XML to reduce server response time, when users edit data item located on a few of Web pages at a time. We test the response time using the data state method in Emergency Plan Management Information System. [ABSTRACT FROM PUBLISHER]

Published
2012
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4. Transformational design of an interactive component straddling communication streams.

Author

Dosch, Walter

Subjects
*PROGRAM transformation, *STREAMING technology, *DATA transmission systems, *TECHNICAL specifications, *SYSTEMS design
Abstract

The paper presents the transformational design of a transmission component that straddles an incoming stream of messages such that each two proper messages in the output stream are separated by a specified number of pauses. We refine the communication-oriented input/output behaviour to a state-based implementation exploiting two major transformations. The first transformation refines the component's infinite behaviour to a finite behaviour by imposing a fixed input/output ratio. The second transformation implements the component's finite behaviour by a state transition machine. Here we extract the component's control state and data state from the input history by a history abstraction function. Throughout the paper, we explicate formal methods for the spefication and refinement of interactive components in the setting of stream functions. Altogether, we present a general methodology how to implement a specified infinite input/output behaviour of an interactive component by a state transition machine in a correctness preserving way. [ABSTRACT FROM AUTHOR]

Published
2006

6. PIE: A Dynamic Failure-Based Technique.

Author

Voas, Jeffrey M.

Subjects
*SOFTWARE engineering, *SYSTEM failures, *RELIABILITY in engineering, *COMPUTER programming, *COMPUTER software
Abstract

This paper presents a dynamic technique for statistically estimating three program characteristics that affect a program's computational behavior: 1) the probability that a particular section of a program is executed, 2) the probability that the particular section affects the data state, and 3) the probability that a data state produced by that section has an effect on program output. These three characteristics can be used to predict whether faults are likely to be uncovered by software testing. [ABSTRACT FROM AUTHOR]

Published
1992
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7. Association rule mining on five years of motor vehicle crashes

Author

Satish Chilkaka, Khaled Bashir Shaban, Abdunnaser Younes, and Jean Raymond Daher

Subjects
Engineering, Association rule learning, Crashworthiness, Context (language use), Computer security, computer.software_genre, Association rules, Data state, Finger lakes, Frequency patterns, Operations management, business.industry, Highway engineering, Risk factor (computing), Roads and streets, New York State, Motor transportation, Risk factors, lcsh:TA1-2040, Accidents, Road safety, Motor vehicle crashes, Highway accidents, business, lcsh:Engineering (General). Civil engineering (General), computer, Motor vehicle crash
Abstract

Every year, road accidents kill more than a million people and injure more than 20 million worldwide. This paper aims to offer guidance on road safety and create awareness by pinpointing the major causes of traffic accidents. The study investigates motor vehicle crashes in the Genesee Finger Lakes Region of New York State. Frequency Pattern Growth algorithm is utilized to cultivate knowledge and create association rules to highlight the time and environment settings that cause the most catastrophic crashes. This knowledge can be used to warn drivers about the dangers of accidents, and how the consequences are worse given a specific context. For instance, a discovered rule from the data states that 'most of the crashes occur between 12:00 pm and 6:00pm'; hence, it is suggested to modify existing navigation application to warn drivers about the increase in risk factor. Scopus

Published
2016

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