RETRACTED CHAPTER: A New Information Exposure Situation Awareness Model Based on Cubic Exponential Smoothing and Its Prediction Method

2019 ◽  
pp. 227-242
Author(s):  
Weijin Jiang ◽  
Yirong Jiang ◽  
Jiahui Chen ◽  
Yang Wang ◽  
Yuhui Xu
Keyword(s):  
Situation Awareness ◽  
Prediction Method ◽  
Exponential Smoothing ◽  
Model Based ◽  
New Information ◽  
Information Exposure

Extensions to UML Using Stereotypes

2011 ◽  
pp. 1505-1509
Author(s):  
Daniel Riesco ◽  
Marcela Daniele ◽  
Daniel Romero ◽  
German Montejano
Keyword(s):  
Programming Language ◽  
Expressive Language ◽  
First Language ◽  
Unified Modeling Language ◽  
Standard Form ◽  
Modeling Language ◽  
Software Components ◽  
Unified Modeling ◽  
Model Based ◽  
New Information

The Unified Modeling Language (UML) allows to visualize, to specify, to build and to document the devices of a system that involves a great quantity of software. It provides a standard form for writing the models of a system, covering so much of the conceptual aspects (such as processes of the business and functions of the system) as the concrete ones (such as the classes written in a specific programming language, schemas of databases and software components). In 1997, UML 1.1 was approved by the OMG becoming the standard notation for the analysis and the design oriented to objects. UML is the first language of modelling in which a metamodel in its own notation has been published. It is a strict subset called Core. It is a self-referential metamodel. It is a very expressive language that covers all of the necessary views to develop and to deploy systems. UML is a language that provides three extension mechanisms (Booch, Rumbaugh, & Jacobson, 1999): stereotypes, tag values, and constrains. The stereotypes allow to create new types of elements of model based on the elements that form the metamodel UML extending the semantics of the same one, the tag values are an extension of the properties of an element of UML, allowing to add new information to the specification of the same one, and the constrains are an extension of the semantics of UML that allow to add new rules or to modify the existent ones. The organization of this overview is given in the following way: first, we present the stereotypes according to the standard of OMG; second, we expose the analysis of works that extend UML using stereotypes in diverse real domains; third, we make an analysis of the stereotypes of UML; and we finish giving a general conclusion where we focus ourselves in the distinction of the works according to their inclusion or not of the created stereotypes in the metamodel of UML.

Quantify: An Information Fusion Model Based on Syntactic and Semantic Analysis and Quality Assessments to Enhance Situation Awareness

2019 ◽  
pp. 563-586
Author(s):  
Leonardo Castro Botega ◽  
Allan Cesar Moreira de Oliveira ◽  
Valdir Amancio Pereira Junior ◽  
Jordan Ferreira Saran ◽  
Lucas Zanco Ladeira ◽  
...  
Keyword(s):  
Information Fusion ◽  
Situation Awareness ◽  
Semantic Analysis ◽  
Fusion Model ◽  
Model Based ◽  
Quality Assessments

scholarly journals Generation and Prediction of Construction and Demolition Waste Using Exponential Smoothing Method: A Case Study of Shandong Province, China

2020 ◽  
Vol 12 (12) ◽  
pp. 5094 ◽  
Author(s):  
Liang Qiao ◽  
Doudou Liu ◽  
Xueliang Yuan ◽  
Qingsong Wang ◽  
Qiao Ma
Keyword(s):  
Average Rate ◽  
Estimation Method ◽  
Prediction Method ◽  
Exponential Smoothing ◽  
Shandong Province ◽  
Construction And Demolition Waste ◽  
Trend Test ◽  
Growth Trend ◽  
Demolition Waste ◽  
Current Output

The output of construction and demolition (C&D) waste in China has been rapidly increasing in the past decades. The direct landfill of such construction and demolition waste without any treatment accounts for about 98%. Therefore, recycling and utilizing this waste is necessary. The prediction of the output of such waste is the basis for waste disposal and resource utilization. This study takes Shandong Province as a case, the current output of C&D waste is analyzed by building area estimation method, and the output of C&D waste in the next few years is also predicted by Mann–Kendall trend test and quadratic exponential smoothing prediction method. Results indicate that the annual productions of C&D waste in Shandong Province demonstrates a significant growth trend with average annual growth of 11.38%. The growth rates of each city differ a lot. The better the city’s economic development, the higher the level of urbanization, the more C&D waste generated. The prediction results suggest that the output of C&D waste in Shandong Province will grow at an average rate of 3.07% in the next few years. By 2025, the amount of C&D waste will reach 141 million tons. These findings can provide basic data support and reference for the management and utilization of C&D waste.

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