Harmonic and excessive functions of a space-time process. II

The problem of allocating paragenetic anthropogenic landscapes. The processes of formation, development and operation of the paragenetic and paradinamic connection in landscape complex of channel and floodplain of the Southern Bug River. On the example of the space-time process of development of the bottom of the river valley described the process of exchange of matter, energy and information between the anthropogenic landscape complexes. Key words: Southern Bug River, channel, floodplain, anthropogenic landscape, landscaped complex, paradinamic connection, paragenetic connection.

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A Framework for the Study of Persuasion

Annual Review of Political Science ◽

10.1146/annurev-polisci-051120-110428 ◽

2021 ◽

Vol 25 (1) ◽

Author(s):

James N. Druckman

Keyword(s):

Political Science ◽

Online Publication ◽

Space Time ◽

Science Volume ◽

Annual Review ◽

Publication Date ◽

Time Process ◽

Vital Part ◽

Enormous Number ◽

Normative Implications

Persuasion is a vital part of politics—who wins elections and policy disputes often depends on which side can persuade more people. Given this centrality, the study of persuasion has a long history with an enormous number of theories and empirical inquiries. However, the literature is fragmented, with few generalizable findings. I unify previously disparate dimensions of this topic by presenting a framework focusing on actors (speakers and receivers), treatments (topics, content, media), outcomes (attitudes, behaviors, emotions, identities), and settings (competition, space, time, process, culture). This Generalizing Persuasion (GP) Framework organizes distinct findings and offers researchers a structure in which to situate their work. I conclude with a discussion of the normative implications of persuasion. Expected final online publication date for the Annual Review of Political Science, Volume 25 is May 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Adaptive space-time process in radar applications

Aerospace Science and Technology ◽

10.1016/s1270-9638(97)90044-4 ◽

1997 ◽

Vol 1 (2) ◽

pp. 151-161

Author(s):

Jean Appel

Keyword(s):

Space Time ◽

Time Process ◽

Radar Applications

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Integral representation for space-time excessive functions

Potential Theory in Matsue ◽

10.2969/aspm/04410167 ◽

2019 ◽

Author(s):

Klaus Janssen

Keyword(s):

Integral Representation ◽

Space Time ◽

Excessive Functions

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Identification models of a one-dimensional space-time process

Cybernetics and Systems Analysis ◽

10.1007/s10559-007-0096-9 ◽

2007 ◽

Vol 43 (5) ◽

pp. 704-718

Author(s):

V. V. Skopetskii ◽

V. A. Stoyan

Keyword(s):

Dimensional Space ◽

Space Time ◽

Time Process ◽

One Dimensional ◽

Dimensional Space Time

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Research on a Characteristic Extraction Algorithm Based on Analog Space-Time Process for Off-Line Handwritten Chinese Characters

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.433-440.3649 ◽

2012 ◽

Vol 433-440 ◽

pp. 3649-3655

Author(s):

Cheng Hui Zhu ◽

Wen Jun Xu ◽

Jian Ping Wang ◽

Xiao Bing Xu

Keyword(s):

Chinese Character ◽

Simulation Experiment ◽

Fault Tolerant ◽

Space Time ◽

Chinese Characters ◽

Time Process ◽

Characteristic Extraction ◽

Extraction Algorithm ◽

Different Types ◽

Time Information

On the absence of space-time information, it is difficult to extract the character stroke feature from the off-line handwritten Chinese character image. A feature extraction algorithm is proposed based on analog space-time process by the process neural network. The handwritten Chinese character image is transformed into geometric shape by different types, different numbers, different locations, different orders and different structures of Chinese character strokes. By extracting fault-tolerant features of the five kinds of the off-line handwritten Chinese characters, the data-knowledge table of features is constructed. The parameters of process neural networks are optimized by Particle Swarm optimization (PSO). The handwritten Chinese characters are used to carry out simulation experiment in SCUT-IRAC-HCCLIB. The experiment results show that the algorithm exhibits a strong ability of cognizing handwritten Chinese characters.

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