scholarly journals The combination feeder of a continuous-action loader for the bulk load

2020 ◽  
Vol 862 ◽  
pp. 032018
Author(s):  
Rustam R Khakimzyanov ◽  
Alexander P Mashtakov
Keyword(s):  
Continuous Action ◽  
Bulk Load

scholarly journals On Polish groups admitting non-essentially countable actions

2020 ◽  
pp. 1-15
Author(s):  
ALEXANDER S. KECHRIS ◽  
MACIEJ MALICKI ◽  
ARISTOTELIS PANAGIOTOPOULOS ◽  
JOSEPH ZIELINSKI
Keyword(s):  
Equivalence Relation ◽  
Isometry Group ◽  
Alternative Proof ◽  
Orbit Equivalence ◽  
Locally Compact ◽  
Continuous Action ◽  
Polish Groups ◽  
Infinite Dimensional ◽  
Open Question ◽  
New Criterion

Abstract It is a long-standing open question whether every Polish group that is not locally compact admits a Borel action on a standard Borel space whose associated orbit equivalence relation is not essentially countable. We answer this question positively for the class of all Polish groups that embed in the isometry group of a locally compact metric space. This class contains all non-archimedean Polish groups, for which we provide an alternative proof based on a new criterion for non-essential countability. Finally, we provide the following variant of a theorem of Solecki: every infinite-dimensional Banach space has a continuous action whose orbit equivalence relation is Borel but not essentially countable.

scholarly journals A game strategy model in the digital curling system based on NFSP

2021 ◽  
Author(s):  
Yuntao Han ◽  
Qibin Zhou ◽  
Fuqing Duan
Keyword(s):  
Reinforcement Learning ◽  
Nash Equilibrium ◽  
Action Space ◽  
Learning Networks ◽  
Game Tree ◽  
Continuous Action ◽  
Extensive Game ◽  
Strategy Model ◽  
Zero Sum ◽  
Tree Searching

AbstractThe digital curling game is a two-player zero-sum extensive game in a continuous action space. There are some challenging problems that are still not solved well, such as the uncertainty of strategy, the large game tree searching, and the use of large amounts of supervised data, etc. In this work, we combine NFSP and KR-UCT for digital curling games, where NFSP uses two adversary learning networks and can automatically produce supervised data, and KR-UCT can be used for large game tree searching in continuous action space. We propose two reward mechanisms to make reinforcement learning converge quickly. Experimental results validate the proposed method, and show the strategy model can reach the Nash equilibrium.

Technologies and technical means of production of complete feed and PMVA for agricultural animals

2021 ◽  
pp. 31-36
Author(s):  
A. V. Fominykh ◽  
I. N. Mikolaychik ◽  
Yu. I. Ovchinnikova ◽  
D. N. Ovchinnikov
Keyword(s):  
Animal Feed ◽  
Practical Importance ◽  
Technical Problem ◽  
Feed Additives ◽  
Continuous Action ◽  
Russian Market ◽  
Excess Moisture ◽  
Technology Of Production ◽  
Shaft Cooler ◽  
Means Of Production

Russian market of complete feed recent years shows a steady development. Currently the Kurgan region the state of base of feed and a shortage of specialized feed additives leads to a violation of maintenance conditions for livestock, reduced productivity. The increase in production of concentrates and complete feed currently is an actual scientific and technical problem whose solution is of great scientific and practical importance. To solve this problem, the technology of production of animal feed and PMVA on the basis of full-fat extruded soybeans produced using a shaft cooler and sapropel dehydrated with the use of filtering centrifuges continuous action has been proposed. The proposed technology of production of animal feed and PMVA completely solves the problem of removing excess moisture from the sapropel immediately after the production and delivery of product to the shore. The process of extraction and preparation for use of sapropel reduced from several days or months (winter freezing) up to several hours.

Continuous Motion Classification and Segmentation Based on Improved Dynamic Time Warping Algorithm

2017 ◽  
Vol 32 (02) ◽  
pp. 1850002 ◽  
Author(s):  
Mingqin Liu ◽  
Xiaoguang Zhang ◽  
Guiyun Xu
Keyword(s):  
Action Recognition ◽  
Dynamic Time Warping ◽  
The Other ◽  
Continuous Image ◽  
Single Image ◽  
Time Warping ◽  
Continuous Action ◽  
Template Sequence ◽  
Dynamic Time

The continuous image sequence recognition is more difficult than the single image recognition because the classification of continuous image sequences and the image edge recognition must be very accurate. Hence, a method based on sequence alignment for action segmentation and classification is proposed to reconstruct a template sequence by estimating the mean action of a class category, which calculates the distance between a single image and a template sequence by sparse coding in Dynamic Time Warping. The proposed method, the methods of Kulkarni et al. [Continuous action recognition based on sequence alignment, Int. J. Comput. Vis. pp. 1–26.] and Hoai et al. [Joint segmentation and classification of human actions in video, IEEE Conf. Computer Vision and Pattern Recognition, 2008, pp. 108–119.] are compared on the recognition accuracy of the continuous recognition and isolated recognition, which clearly shows that the proposed method outperforms the other methods. When applied to continuous gesture classification, it not only can recognize the gesture categories more quickly and accurately, but is more realistic in solving continuous action recognition problems in a video than the other existing methods.

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