Social Work Research under Automation Control

On the basis of this article in the use of automation and control theory of factor analysis and cluster analysis to analyze the problems of university graduates reflected, to resolve these problems, focus on one of the root causes of these problems is not college students on the course of self-management science, the author use the greedy algorithm dialysis college students how scientific management of social work, and the corresponding countermeasures.

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The Research on NC Evolution and Prospects of Textile Machinery in Dong-Guan

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.416-417.743 ◽

2013 ◽

Vol 416-417 ◽

pp. 743-747

Author(s):

Long Gen Li

Keyword(s):

Information Technology ◽

Continuous Improvement ◽

Textile Industry ◽

Manufacturing Industry ◽

Control Technology ◽

Automation And Control ◽

Automation Control ◽

Automation Technology ◽

Machinery Manufacturing ◽

And Control

With technical means of continuous improvement and the widespread use of information technology,automatic control technology are constantly generated and development in textile machinery. The larger of the textile machinery manufacturing industry and the wider the range of products produced, the higher the internal automation technology and information technology and more automation products. This paper analyzes the means of automation technology, Dong-guan textile industry machinery used in the automation and control technology and automation control technology trends preliminary summary, and the paper also discusses the technical updates on our inspiration..

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Research on Artificial Intelligence Technology of Electrical Automation Control

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.624.469 ◽

2014 ◽

Vol 624 ◽

pp. 469-472 ◽

Cited By ~ 2

Author(s):

Gang Quan Wang

Keyword(s):

Artificial Intelligence ◽

Production Efficiency ◽

Economic Life ◽

Production Costs ◽

Human Longevity ◽

The Status ◽

Automation And Control ◽

Artificial Intelligence Technology ◽

Automation Control ◽

And Control

Progress of society and human longevity require more developed productive forces and more intelligent human economic life in order to save precious human time. Innovation in the field of electrical automation control needs artificial human support, and artificial intelligence advantage in terms of automation and control in this area are indeed able to get great play. This paper describes the connotation and characteristics of artificial intelligence technology. As well as the status of electrical automation control artificial intelligence technology. The applications of artificial intelligence technology are analyzed and discussed in the electric automation industry. Electrical automated production widely uses artificial intelligence technology to improve the productivity of electronic devices, reduce the harsh production costs, and improve production efficiency and competitiveness, which is an important guarantee for long-term development. The applications of artificial intelligence technology promote the development and progress of automation and solve difficult control problems.

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The Effects of a Neutral Stimulus (Buzzer) on Motor Responses and Disfluencies in Normal Speakers

Journal of Speech and Hearing Research ◽

10.1044/jshr.1201.179 ◽

1969 ◽

Vol 12 (1) ◽

pp. 179-184 ◽

Cited By ~ 7

Author(s):

Richard R. Martin ◽

Gerald M. Siegel

Keyword(s):

College Students ◽

Neutral Stimulus ◽

Motor Responses ◽

Control Subjects ◽

And Control ◽

Speaking Task

Seventy-two college students were divided into three groups: Button Push-Speech (BP-S), Speech-Button Push (S-BP), and Control. BP-S subjects pushed one of two buttons on signal for 8 min. During the last 4 min, depression of the criterion button caused a buzzer to sound. After the button-push task, subjects spoke spontaneously for 30 min. During the last 20 min, the buzzer was presented contingent upon each disfluency. S-BP subjects were run under the same procedures, but the order of button-push and speech tasks was reversed. Control subjects followed the same procedures as S-BP subjects, but no buzzer signal was presented at any time. Both S-BP and BP-S subjects emitted significantly fewer disfluencies during the last 20 min (Conditioning) than during the first 10 min (Baserate) of the speaking task. The frequency of disfluencies for Control subjects did not change significantly from Baserate to Conditioning. In none of the three groups did the frequency of pushes on the criterion button change significantly from minute to minute throughout the 8-min button-push session.

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