Market Competitiveness of Automated Systems

One of the modern selection tasks in vegetable growing is quality products improving, obtaining high yields of environmentally safe wide assortment vegetables. To the new varieties of vegetable crops including winter white cabbage are specified new requirements such as market competitiveness, resistance to unfavorable environmental conditions, heat resistance of the varieties and F1 hybrids. The article is shown investigation results about studies of exogenous treatment by solutions on the base of physiologically active compounds of hormonal nature on the started process of stem extension stage activation and flowering of winter white cabbage plants. For the first time in the Dagestan conditions has been studied the possibility of hormonal regulation of the premature stem extension stage and flowering prevention of winter white cabbage after the initiation of natural induction. In our studies with an early planting there are not more than 20% of blooming plants, most varieties showed a high propensity to premature stem extension stage and flowering. The possibility of the hormonal exogenous regulation of the unfavorable winter white cabbage flowering has been revealed. The most pronounced effect on the transition to stem extension stage and flowering were provided by auxin nature preparations. In particular, treatment with NAS at a dose of 5 mg / l significantly reduced the number of blossom plants, krezatsin (50 mg / l) had a similar effect, but it was less pronounced. The use of cabbage in winter crops makes it possible to obtain two or three yields per year from the same area. Creation and introduction into production of promising and high-yielding varieties and hybrids will allow increasing production and reducing its cost.

Download Full-text

Research Concerning the Identification of Some Parameters of a Sucker Rod Pumping Unit

Revista de Chimie ◽

10.37358/rc.17.10.5872 ◽

2017 ◽

Vol 68 (10) ◽

pp. 2289-2292

Author(s):

Dorin Badoiu ◽

Georgeta Toma

Keyword(s):

Computer Program ◽

Essential Role ◽

Automated Systems ◽

Maintenance Costs ◽

Motor Torque ◽

Unit Process ◽

Sucker Rod ◽

Pumping Unit

One of the solutions to reduce the production and maintenance costs of the sucker rod pumping installations is to develop automated systems for regulating and controlling their operations. The development of these automated systems requires an attentive modeling of the dynamics of the mechanism of the pumping unit, process in which the identification of the values of the parameters involved in the calculations plays an essential role. The paper presents the manner of determining the values of some parameters of the mechanism of a C-320D-256-100 pumping unit starting from the variation on a cinematic cycle of the motor torque at the crank shaft. Simulations were performed with a computer program developed by the authors, and the experimental records were processed with the program Total Well Management.

Download Full-text

Continuous Calibration of Trust in Automated Systems

10.21236/ada606748 ◽

2014 ◽

Cited By ~ 7

Author(s):

Stephanie M. Merritt ◽

Kelli Huber ◽

Jennifer LaChapell-Unnerstall ◽

Deborah Lee

Keyword(s):

Automated Systems

Download Full-text

Capital Market Competitiveness and Enforcement

SSRN Electronic Journal ◽

10.2139/ssrn.1127245 ◽

2008 ◽

Cited By ~ 1

Author(s):

Eilis Ferran

Keyword(s):

Capital Market ◽

Market Competitiveness

Download Full-text

Generalised Anxiety Disorder and Depression on Implicit and Explicit Trust Tendencies Towards Automated Systems

IEEE Access ◽

10.1109/access.2021.3076681 ◽

2021 ◽

pp. 1-1

Author(s):

Jordan R. Crawford ◽

Yee Mey Goh ◽

Ella-Mae Hubbard

Keyword(s):

Anxiety Disorder ◽

Generalised Anxiety Disorder ◽

Automated Systems ◽

Implicit And Explicit

Download Full-text

Research on visual recognition intelligent system of city brand image based on fuzzy theory and regional culture

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189833 ◽

2021 ◽

pp. 1-9

Author(s):

Lin Han ◽

Lu Han

Keyword(s):

Neural Network ◽

Visual Recognition ◽

Intelligent System ◽

Brand Image ◽

Fuzzy Theory ◽

Recognition System ◽

Market Competitiveness ◽

Visual Identity ◽

Fuzzy Neural ◽

Intelligent Recognition

With the rapid development of China’s market economy, brand image is becoming more and more important for an enterprise to enhance its market competitiveness and occupy a favorable market share. However, the brand image of many established companies gradually loses with the development of society and the improvement of people’s aesthetic pursuit. This has forced it to change its corporate brand image and regain the favor of the market. Based on this, this article combines the related knowledge and concepts of fuzzy theory, from the perspective of visual identity design, explores the development of corporate brand image visual identity intelligent system, and aims to design a set of visual identity system that is different from competitors in order to shape the enterprise. Distinctive brand image and improve its market competitiveness. This article first collected a large amount of information through the literature investigation method, and made a systematic and comprehensive introduction to fuzzy theory, visual recognition technology and related theoretical concepts of brand image, which laid a sufficient theoretical foundation for the later discussion of the application of fuzzy theory in the design of brand image visual recognition intelligent system; then the fuzzy theory algorithm is described in detail, a fuzzy neural network is proposed and applied to the design of the brand image visual recognition intelligent system, and the design experiment of the intelligent recognition system is carried out; finally, through the use of the specific case of KFC brand logo, the designed intelligent recognition system was tested, and it was found that the visual recognition intelligent system had an overall accuracy rate of 96.08% for the KFC brand logo. Among them, the accuracy rate of color recognition was the highest, 96.62%; comparing the changes in the output value of the training sample and the test sample, the output convergence effect of the color network is the best; through the comparison test of the BP neural network, the recognition effect of the fuzzy neural network is better.

Download Full-text