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Determining situational dimensions as a method of Equivalence in the source and target language in the translation of Russian and Arab: ( Понимание реальности ) средство полной эквивалентности текста оргинала и текста перевода на русском и арабском языках
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The present paper stresses the direct effect of the situational dimension termed as “reality” on the authors’ thoughts and attitudes. Every text is placed within a particular situation which has to be correctly identified by the translator as the first and the most important step for a good translation. Hence, the content of any word production reflects some part of reality. Comprehending any text includes comprehending the reality’s different dimensions as reflected in the text and, thus illuminating the connection of reality features.

Аннотация 

Исследование под названием  ((«Понимание реальности» средство полной эквивалентности  текста оригинала  и текста  перевода на русском и арабском языках)) фокусируется на непосредственном влиянии обстоятельств  на личность писателя или автора и его мышление и ориентации, в которых автор живет и окружает его. Мы можем назвать их «реальностью». Понимание реальности и ее понимание - важный шаг для переводчика. Так или иначе, чтобы передать смысл текста точным и простым способом получателю, живущему в той же реальности, и, таким образом, мы можем сказать, что содержание любого словесного продукта и любого устного утверждения отражает часть реальности, независимо от того, кто забыл это утверждение. В любом тексте существует связь между рядом реальных целей реальности. При понимании утверждения получатель начинает понимать связь между фактическими целями реальности, выраженными в этом тексте, и отношения четко понимаются получателем.

 

 

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Publication Date
Fri Oct 07 2016
Journal Name
Fourth International Conference On Wireless And Optical Communications, 2016, Beijing, China
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Target tracking is a significant application of wireless sensor networks (WSNs) in which deployment of self-organizing and energy efficient algorithms is required. The tracking accuracy increases as more sensor nodes are activated around the target but more energy is consumed. Thus, in this study, we focus on limiting the number of sensors by forming an ad-hoc network that operates autonomously. This will reduce the energy consumption and prolong the sensor network lifetime. In this paper, we propose a fully distributed algorithm, an Endocrine inspired Sensor Activation Mechanism for multi target-tracking (ESAM) which reflecting the properties of real life sensor activation system based on the information circulating principle in the endocr

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Thu May 14 2020
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Sun Jan 27 2019
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Wed Aug 01 2018
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Sat Jun 30 2018
Journal Name
College Of Islamic Sciences
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Sat Jun 01 2019
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