Robots with Artificial Intelligence and Spectroscopic Sight in Hi-Tech Labor Market
Issue:
Volume 4, Issue 3, September 2019
Pages:
31-37
Received:
21 August 2019
Accepted:
17 September 2019
Published:
26 September 2019
Abstract: The artificial intelligence of the robot is the digital double of intelligence of the person capable to training, retraining, self-realization and development of professional and behavioural creative innovative competences and skills. The robot represents a technological and program cognitive complex. The realization of artificial intelligence the robot is enabled on the basis of criterion of preferences of improvement of functional activity by realization of actions of function of usefulness and high-quality selection of extensive statistics of the accumulated professional and behavioural creative innovative competences and skills of the person. Transdectoral digital studies of human, nature, society and production communication enable the creation of digital twins of social services and production of products and the technological process of equipment operation. Digital dupes related to the service sector or production are created for intelligent process and equipment management. Intelligent production management with a digital twin optimizes its operation, increases productivity and competitiveness of products according to quality and price. Human digital twins provide services in the social sphere and in space. Training of digital twins in professional competences is carried out on the basis of communicative associative logic of technological thinking by cognitive methods. Cognitive psychology experts investigating the effectiveness of machine learning techniques offer a new approach that allows artificial intelligence and cognitive psychology to be combined. This approach provides pre-preparation of neural networks from accumulated data using existing behaviors. The approach combines existing scientific theories of human behavior with the flexibility of neural networks to make better decisions made by humans in space and in extreme situations. From a practical point of view, this makes it possible to more accurately determine the behavior of a human digital twin in space and in extreme situations. The spectroscopic sight of the robot perceives objects and objects of their range of frequencies. For training of the robot in recognition of objects and objects the frequency spectral technology of machine learning is used. The spectroscopic sight perceives a range of radiations of objects, and the artificial trained neural network distinguishes them on a range.
Abstract: The artificial intelligence of the robot is the digital double of intelligence of the person capable to training, retraining, self-realization and development of professional and behavioural creative innovative competences and skills. The robot represents a technological and program cognitive complex. The realization of artificial intelligence the ...
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Determination of a New Characterization Point for Nonlinear Mathematical Models Applied to Sheep
Issue:
Volume 4, Issue 3, September 2019
Pages:
38-46
Received:
1 October 2019
Accepted:
15 October 2019
Published:
23 October 2019
Abstract: Improvement of sheep productivity requires selection, the use of nonlinear mathematical models provides a good means of condensing information and facilitates the interpretation and understanding of the growth phenomenon. However, few studies have addressed the optimal age of slaughter and focused on determining which models fit best with their sheep growth data. This age should meet the production objectives which differ upstream according to the production systems and downstream according to the nature of the demands expressed by all the actors in the sector, namely from slaughter to consumption. Some studies have concluded that it corresponds to the age of inflection where the growth rate is at its maximum. But according to the findings, for some production systems, this age is not suitable since it is very far from the slaughter age with the risk of hasty decision making about the judgment of the growth potential of animals. Therefore, the objective of this study is to develop a new landmark located further down the growth curve than the inflection point and that meets the specific needs of these systems. To do this, we have calculated for the models Logistic, Gompertz, Richards and Von Bertalanffy, the point f (tbm) corresponding to the age tbm which satisfies two conditions namely the third derivative which is cancelled and the second derivative which is negative. For the function of Brody this point does not exist. The weights at this point represent 79%, 68% and 61% of the asymptotic weight respectively for the models Logistic, Gompertz and Von Bertalanffy. Subsequently, this point was compared with the inflection point for slaughter statistics (live slaughtering weights), using the Von Bertalanffy model as an example and then illustrating the changes in trends that may occur during animal growth and may bias judgments about precocity if decision-making is hasty about growth potential. It can be concluded that the point f (tbm) could provide a better assessment of the growth potential relative to the inflection point for some sheep production systems and therefore, efforts should be made by researchers in the countries concerned by this problematic, in order to characterize the point f (tbm) from a biological point of view that is corporal and morphological compositions for different breeds and production systems.
Abstract: Improvement of sheep productivity requires selection, the use of nonlinear mathematical models provides a good means of condensing information and facilitates the interpretation and understanding of the growth phenomenon. However, few studies have addressed the optimal age of slaughter and focused on determining which models fit best with their she...
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