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Analysis and Modeling of Labor Productivity in Construction Operations. Analyzing Jobsite Labor Productivity

Автор:  Zafar K.
мягкая обложка
212 страниц
2010 год
Издательство:  Книга по Требованию
Цена:
3231 руб
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Описание:A field study conducted to examine a set of parameters that impact labor productivity on building construction jobsites is presented. Required data was collected over a period of ten months directly from construction jobsites. Productivity is expressed as a function of one parameter at a time. For further insight on the impact of these factors on productivity, a set of neural network models were developed. Techniques from inferential statistics and artificial intelligence such as Fuzzy subtractive clustering, neural network modeling and stepwise variable selection procedure are used to analyze and determine the relative importance and contribution of each parameter towards productivity estimates. It is substantially important to understand the nature and extent to which certain factors affect productivity. The trends obtained in this study are compared with related material in literature and the findings are reported. Labor productivity plays an important role in the successful delivery of construction projects. These parameters include temperature, relative humidity, wind speed, precipitation, gang size, crew composition, height of work, type of work and the method employed.


Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка

2990 руб
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Agile Software Development

Recall that a deliverable is a work product that crosses decision boundaries. An intermediate deliverable is one that is passed across decision boundaries within the team. These might include the detailed project plan, refined requirement documents, analysis and design documents, test plans, inter-team dependencies, risk lists, etc. I refer to them also as "promissory notes," as in: "I promise that the system will look like these requirements describe." "I promise that this analysis model will work as the core for the system's design." "I promise that this design will work well over time." There are two ways to reduce the need for promissory notes: 1. Deliver a working piece of the system quickly enough that the sponsor can tell whether the team understood the requirements properly. Delivering a working piece of the system quickly leads to these other benefits: · The requirements writers will be able to tell whether the requirements they wrote are actually going to meet the user’s needs. · The team needs fewer requirements reviews and can often simplify the requirements process in other ways. · The designers can see the effects of their decisions early rather than after many other decisions have been built on top of a mistake. · Test planning becomes much simpler ...»

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Интерактивный "Бен".
Игрушка воспроизводит звуки, как в знаменитом приложении для телефона. Стоит ему нажать на левую лапку, и ты услышишь знакомые
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Раздел: Каталки


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Evaluation, Validation and Application of a High Sensitive Analytical Standard Scheme N-Glycan Analysis in Mammalian Cell Production Processes.
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A Single-Species Two-Age Class Climax Population Model Some Results on the Analysis of a Climax Population Model.
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Development of an Intelligent Recommender System for E-Guided Tourism. Modeling Service and Product Discrimination in E-Guided Tourism –Developing a Recommender System Using Neuro-Rough Approach
The case study considered in this report is the tourism practices followed in the North West state of India, Rajasthan.
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Motion Estimation for Behavioral Analysis of Worm, Fish, and Flies Automated Visual Tracking of Biological Model Organisms.
In contrast to other approaches, which are customized to a particular organism or experimental setup, my approach provides a foundation that requires little re-engineering whenever the experimental parameters are changed.
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Sensitivity Analysis of Probabilistic Graphical Models. Theoretical Results and Their Applications on Bayesian Network Modeling and Inference
Probabilistic graphical models such as Bayesian networks are widely used for large-scale data analysis in various fields such as customer data analysis and medical diagnosis, as they model probabilistic knowledge naturally and allow the use of efficient inference algorithms to draw conclusions from the model.
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Computational Methods for Molecular Analysis and Design. Efficient Numerical Algorithms for Surface Formulations of Mathematical Models of Solvation
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