Using Principle Component Analysis and Gaussian Mixture Regression Techniques with Automation in Construction

International Journal of Computer Science and Emerging Technologies

View Publication Info
 
 
Field Value
 
Title Using Principle Component Analysis and Gaussian Mixture Regression Techniques with Automation in Construction
 
Creator Baladi, Ronak Ali
 
Subject utomation, Accuracy, Cost, Construction, Efficiency, Investment, Labor, Manual, Machines, Productivity, Quality, Standardization
 
Description Research of automation in construction looks for higher output and increased productivity that are the main features of its boost. This research work addresses the challenges of effective communication and teamwork, selecting the optimum approach and devices that are the major problems in automation infrastructure. A detailed survey has been conducted and given in comparative analysis that present automation in construction has more benefits than demerits. One of those ideas is strengthening work speed of automatic machines and reduces their cost and space they occupy. Setting genuine opportunities from automation should be first priority to go for automation. Probability of failure could harm several lives and monetary influence of potential mistake would be detrimental. It is assured that starting strategy should be looked through before selecting automatic instruments. Standardization, quality, efficiency and productivity is worked out in this research via automation in construction. It is analyzed, apart from speed, what are the advantages of automation: Easy to produce, better working flow, high durability, quality and good handling. Detailed debate is done on merits of automation with results and discussion
 
Publisher Shah Abdul Latif University, Khairpur
 
Date 2019-09-04
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
 
Format application/pdf
 
Identifier http://ijcet.salu.edu.pk/index.php/IJCET/article/view/23
 
Source International Journal of Computer Science and Emerging Technologies ; Vol 2 No 2 (2018): IJCET Vol 2 Issue 2 Dec 2018; 1-5
2522-3348
2522-3348
 
Language eng
 
Relation http://ijcet.salu.edu.pk/index.php/IJCET/article/view/23/21
 

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