Application of comprehensive water-saving irrigation development level model based on FCE in a regional area

2019 ◽  
Vol 12 (1) ◽  
pp. 98-102
Author(s):  
Lujun Ding ◽  
Yuhong Liu
Keyword(s):  
Water Saving ◽  
Irrigation Development ◽  
Model Based ◽  
Development Level ◽  
Regional Area ◽  
Level Model

scholarly journals The Evaluation of Regional Water-Saving Irrigation Development Level in Humid Regions of Southern China

Water ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 172 ◽  
Author(s):  
Lu Zhao ◽  
Lili Zhang ◽  
Ningbo Cui ◽  
Chuan Liang ◽  
Yi Feng
Keyword(s):  
Comprehensive Evaluation ◽  
Southern China ◽  
Sichuan Province ◽  
Water Saving ◽  
Evaluation Index System ◽  
Irrigation Level ◽  
Irrigation Development ◽  
Factors Affecting ◽  
Evaluation Indexes ◽  
Development Level

Water-saving irrigation development level (WIDL) refers to reasonably and accurately judging a water-saving area based on the analysis of all factors affecting the water-saving irrigation development. The evaluation of regional WIDL is the premise of scientific planning guidance to irrigation work. How to select reasonable evaluation indexes and build a scientific and comprehensive model to evaluate WIDL is of great significance. In this study, the comprehensive evaluation index system of WIDL in 21 cities (states) of the Sichuan province in China (a typical humid region in southern China) was constructed, and the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method was improved to evaluate WIDL. Results showed that the overall development level of water-saving irrigation was “poor” in Sichuan province. The water-saving irrigation level turned out to be “good” in three regions with advantageous geographical conditions and developed economies, “general” in four regions with good economic levels where agronomy water saving has been popularized, and “poor” in fourteen regions of mountainous and hilly areas, especially Ganzi, Aba, and Liangshan, located in the Northwest plateau of Sichuan province, with poor natural resources and insufficient economies. The evaluation results were in good agreement with the actual situation, and in this area, there is enormous potential for the development of water-saving irrigation strategies. This study provides an important technical approach for the evaluation of water-saving irrigation development in humid regions of Southern China.

scholarly journals Logistics digital transformation model based on a platform solution

2021 ◽  
Vol 258 ◽  
pp. 02024
Author(s):  
Aleksandr Kozlov ◽  
Anna Smirnova ◽  
Irina Zaychenko ◽  
Yevhenii Shytova ◽  
Joanna Kalkowska
Keyword(s):  
Digital Transformation ◽  
Transformation Model ◽  
Interaction Models ◽  
Model Based ◽  
Stakeholder Interaction ◽  
Level Model ◽  
The Creation

This paper is devoted to researching the major aspects of the digital transformation of the logistical field. Provided are the suggestions for constructing logistical process stakeholder interaction models. One of the major trends in digital logistics is platform solutions that will come to replace specialized digital solutions. Based on this trend, authors provide the 3-level model of stakeholder interaction on the logistical platform which could form the foundation of a future platform solution architecture. The creation of the logistical platform is the next step in the digital transformation of logistics which aims to create a unified logistical ecosystem.

A High Level Model of a Conscious Embodied Agent

2010 ◽  
Vol 2 (3) ◽  
pp. 62-78 ◽  
Author(s):  
Jirí Wiedermann
Keyword(s):  
Cognitive Functions ◽  
Mirror Neurons ◽  
Semantic Knowledge ◽  
Neural Nets ◽  
Imitation Learning ◽  
Model Based ◽  
Level Model ◽  
Higher Cognitive Functions ◽  
High Level ◽  
Embodied Agent

In this paper, the author describes a simple yet cognitively powerful architecture of an embodied conscious agent. The architecture incorporates a mechanism for mining, representing, processing and exploiting semantic knowledge. This mechanism is based on two complementary internal world models which are built automatically. One model (based on artificial mirror neurons) is used for mining and capturing the syntax of the recognized part of the environment while the second one (based on neural nets) for its semantics. Jointly, the models support algorithmic processes underlying phenomena similar in important aspects to higher cognitive functions such as imitation learning and the development of communication, language, thinking, and consciousness.

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