Civil Engineering: Army and Air Force Basic Real Estate Agreements

1995 ◽  
Author(s):  
Rodney A. Coleman ◽  
Gordon R. Sullivan ◽  
Milton H. Hamilton
Keyword(s):  
Real Estate ◽  
Air Force ◽  
Civil Engineering

Transforming Civil Engineering. Air Force Civil Engineer, Volume 15, Number 1, 2007

2007 ◽  
Author(s):  
Del Eulberg ◽  
Teresa Hood ◽  
Jack A. Blalock ◽  
Anne M. Haverhals ◽  
Melanie DiAntonio ◽  
...  
Keyword(s):  
Civil Engineer ◽  
Air Force ◽  
Civil Engineering

scholarly journals Civil Engineering Inspection for Real Estate Evaluation with the Use of Artificial Learning Algorithms and Fuzzy Logic

2020 ◽  
Vol 43 (338) ◽  
pp. 75-82
Author(s):  
Vladimir Surgelas ◽  
Irina Arhipova ◽  
Vivita Pukite
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Real Estate ◽  
Civil Engineering ◽  
Market Value ◽  
The State ◽  
The Real ◽  
The Real Estate ◽  
Technical Inspection ◽  
Physical Conditions

AbstractThe technical inspection of a building carried out by an expert in civil engineering can identify and classify the physical conditions of the real estate; this generates relevant information for the protection and safety of users. Given the real conditions of the property, and for the real estate valuation universe, using artificial intelligence and fuzzy logic, it is possible to obtain the market price associated with the physical conditions of the building. The objective of this experiment is to develop a property evaluation model using a civil engineering inspection form associated with artificial intelligence, and fuzzy logic, and also compare with market value to verify the applicability of this inspection form. Therefore, the methodology used is based on technical inspection of civil engineering regarding the state of conservation of properties according to the model used in Portugal and adapted to the reality of Latvia. Artificial intelligence is applied after obtaining data from that report. From this, association rules are obtained, which are used in the diffuse logic to obtain the price of the apartment per square meter, and for comparison with the market value. For this purpose, 48 samples of residential apartments located in the city of Jelgava in Latvia are used, with an inspection carried out from October to December 2019. The main result is the 9% error metric, which demonstrates the possibility of applying the method proposed in this experiment. Thus, for each apartment sample consulted, it resulted in the state of conservation and a market value associated.

Research on Civil Engineering with Comprehensive Evaluation Model of Urban Old-Age Real Estate Building Energy Saving

2015 ◽  
Vol 730 ◽  
pp. 29-32
Author(s):  
Hua Liu ◽  
Yi Bo Zhao
Keyword(s):  
Real Estate ◽  
Energy Saving ◽  
Old Age ◽  
Civil Engineering ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Building Energy ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Building Energy Saving

Based on the analysis on civil engineering of existing old-age real estate building energy saving, this paper builts comprehensive evaluation index system, and analyzes its evaluation index content and determines the standards. Using grey relational analysis to establish the simplified evaluation index system,and based on artificial neural network, this paper then establishes a comprehensive evaluation model of urban old-age real estate building energy saving, which not only helps to control building energy saving effect, but also helps to guide new old-age real estate building energy saving to carry out, and promotes the development of civil engineering industry.

Special Civil Engineering: Troop Construction and Engineering Support of The Air Force Overseas

1979 ◽  
Author(s):  
J. C. Pennington ◽  
Van L. Crawford ◽  
Rogers Jr. ◽  
Allen Bernard W. ◽  
Jr. Lew
Keyword(s):  
Air Force ◽  
Civil Engineering
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