Cultural Influence on Evaluation System of Social Sustainability in Turkish Housing Projects

2018 ◽  
Vol 2 (1) ◽  
pp. 1-7
Author(s):  
Salah Haj Ismail ◽  
Hatice Kalfaoglu Hatipoglu
Keyword(s):  
Evaluation System ◽  
Social Sustainability ◽  
Cultural Influence ◽  
Housing Projects

scholarly journals WEB-BASED CONTRACTOR EVALUATION SYSTEM FOR MASS-HOUSING PROJECTS IN TURKEY

2012 ◽  
Vol 18 (3) ◽  
pp. 323-334 ◽  
Author(s):  
Gokhan Arslan
Keyword(s):  
Financial Stability ◽  
Evaluation System ◽  
Selection Process ◽  
Critical Issue ◽  
General Information ◽  
Web Based ◽  
Contractor Selection ◽  
Housing Projects ◽  
Construction Contractor ◽  
The Right

Determining the most appropriate contractor for a construction project is a highly critical issue. Selecting the right contractor for the right job can significantly influence the overall project performance. In the selection process, construction clients have to know all financial, technical and general information about the contractors to determine the most appropriate one for the project. Within this context, clients should consider several criteria that may include quality of production, adequacy of technical staff and financial stability. In this study, a survey was carried out among 52 construction professionals working at the Public Housing Development Administration (PHDA) in Turkey. The objective of this survey is to examine the relative weights of the criteria that have been using by this owner in the construction contractor selection process. Afterwards, a web-based contractor evaluation system, WEB-CONTEST, by which the contractors can be evaluated based on a combined criterion, is proposed. The system facilitates the contractor selection process and enables the construction owner to select the most correct contractors for its relevant projects.

A proposed method for assessing the quality of sealants - the CCC Sealant Evaluation System

2001 ◽  
Vol 29 (2) ◽  
pp. 83-91 ◽  
Author(s):  
Christopher Deery ◽  
Hazel E. Fyffe ◽  
Zoann J. Nugent ◽  
Nigel M. Nuttall ◽  
Nigel B. Pitts
Keyword(s):  
Evaluation System

Intelligent system of English composition scoring model based on improved machine learning algorithm

2020 ◽  
pp. 1-11
Author(s):  
Jie Liu ◽  
Lin Lin ◽  
Xiufang Liang
Keyword(s):  
Machine Learning ◽  
Evaluation System ◽  
Intelligent System ◽  
Learning Algorithm ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Assessment System ◽  
English Composition ◽  
Region Extraction ◽  
Constraint Model

The online English teaching system has certain requirements for the intelligent scoring system, and the most difficult stage of intelligent scoring in the English test is to score the English composition through the intelligent model. In order to improve the intelligence of English composition scoring, based on machine learning algorithms, this study combines intelligent image recognition technology to improve machine learning algorithms, and proposes an improved MSER-based character candidate region extraction algorithm and a convolutional neural network-based pseudo-character region filtering algorithm. In addition, in order to verify whether the algorithm model proposed in this paper meets the requirements of the group text, that is, to verify the feasibility of the algorithm, the performance of the model proposed in this study is analyzed through design experiments. Moreover, the basic conditions for composition scoring are input into the model as a constraint model. The research results show that the algorithm proposed in this paper has a certain practical effect, and it can be applied to the English assessment system and the online assessment system of the homework evaluation system algorithm system.

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