Optimization of environmental impacts of construction projects: a time–cost–quality trade-off approach

Banihashemi, Sayyid Ali; Khalilzadeh, Mohammad; Shahraki, Ali Sardar; Malkhalifeh, M. Rostami; Ahmadizadeh, S. S. R.

doi:10.1007/s13762-020-02838-2

Cited by 42 publications

(18 citation statements)

References 42 publications

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“…Naturally, the combination degree can be added to the simulated phrase lexicon as needed to assist the judgment. Next, we enter the postprocessing part, mainly the addition of rule constraints, class conjunction, and contextual grammar constraints, to further compensate for some shortcomings of the probabilistic analysis method [18]. After the sentence is judged, the text statement is analyzed to see if the traversal is completed, and if it is not, the statement traversal part is entered; if the traversal is completed, it is finished.…”

Section: Research On English Phrase Speech Recognition Based Onmentioning

confidence: 99%

[Retracted] English Phrase Speech Recognition Based on Continuous Speech Recognition Algorithm and Word Tree Constraints

Du¹,

Duan

2021

Complexity

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This paper combines domestic and international research results to analyze and study the difference between the attribute features of English phrase speech and noise to enhance the short-time energy, which is used to improve the threshold judgment sensitivity; noise addition to the discrepancy data set is used to enhance the recognition robustness. The backpropagation algorithm is improved to constrain the range of weight variation, avoid oscillation phenomenon, and shorten the training time. In the real English phrase sound recognition system, there are problems such as massive training data and low training efficiency caused by the super large-scale model parameters of the convolutional neural network. To address these problems, the NWBP algorithm is based on the oscillation phenomenon that tends to occur when searching for the minimum error value in the late training period of the network parameters, using the K-MEANS algorithm to obtain the seed nodes that approach the minimal error value, and using the boundary value rule to reduce the range of weight change to reduce the oscillation phenomenon so that the network error converges as soon as possible and improve the training efficiency. Through simulation experiments, the NWBP algorithm improves the degree of fitting and convergence speed in the training of complex convolutional neural networks compared with other algorithms, reduces the redundant computation, and shortens the training time to a certain extent, and the algorithm has the advantage of accelerating the convergence of the network compared with simple networks. The word tree constraint and its efficient storage structure are introduced, which improves the storage efficiency of the word tree constraint and the retrieval efficiency in the English phrase recognition search.

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Section: Research On English Phrase Speech Recognition Based Onmentioning

confidence: 99%

[Retracted] English Phrase Speech Recognition Based on Continuous Speech Recognition Algorithm and Word Tree Constraints

Du¹,

Duan

2021

Complexity

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“…Banihashemi et al ( 2021 ) presented the TCQTP with environmental impacts for construction projects. They utilized GAMS software to gain results and obtain different scenarios for ecological consequences.…”

Section: Survey On Related Workmentioning

confidence: 99%

Resource-constrained time–cost-quality-energy-environment tradeoff problem by considering blockchain technology, risk and robustness: a case study of healthcare project

Lotfi

Kargar

Gharehbaghi

et al. 2022

Environ Sci Pollut Res

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Blockchain Technology (BCT) is expanding day by day and is used in all pillars of life and projects. In this research, we survey applicable BCT in project management for the first time. We presented a Resource-Constrained Time–Cost-Quality-Energy-Environment Tradeoff Problem by considering BCT, Risk and Robustness (RCTCQEETPBCTRR) in project scheduling. We utilize hybrid robust stochastic programming, worst case, and Conditional Value at Risk (CVaR) to cope with uncertainty and risks. This type of robustification and risk-averse is presented in this research. A real case study is presented in a healthcare project. We utilize GAMS-CPLEX to solve the model. Finally, we analyze finish time, conservative coefficient, the confidence level of CVaR, and the number of scenarios. The most important research result is that applying BCT decreases cost, energy, and pollution and increases quality. Moreover, the total gap between RCTCQEETPBCTRR and without BCT is approximately 2.6%. When compacting finish time happens or if the conservative coefficient increases to 100%, costs, energy, and pollution environment increase, but quality decreases. If the confidence level of CVaR increases, the cost, energy, and environment function functions grow up, and quality is approximately not changed.

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“…The construction and deconstruction phases of a project consume a large amount of energy, water, and raw materials (Banihashemi et al, 2020), which have environmental impacts that have been extensively addressed in the current literature and include the following: energy consumption, water use, noise and air pollution, waste generation, dust and gas emissions, resources, land use and pollution, and consumption of nonrenewable natural resources. The need to reduce the negative impacts of these construction activities has culminated in increasing pressure on construction organizations to adopt proactive, environmentallysustainable strategies and actions in the design and construction process (Akadiri & Olomolaiye, 2012).…”

Section: Improving Environmental Sustainability Performance In Constructionmentioning

confidence: 99%

Evaluation of Factors Influencing Environmental Sustainability Performance of Construction Projects in South Africa

Awuzie

Monyane

Koker

et al. 2021

Sustainability and Climate Change

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This study evaluated the factors influencing environmental sustainability (ES) performance of construction projects from the perspective of construction industry professionals working in the Free State province in South Africa. Using a quantitative research approach, questionnaires were administered to a sample of purposively selected respondents (N 5 165) of construction professionals working on designated construction sites. A total of 101 questionnaires were returned and analyzed to ascertain drivers for improved ES performance, strategies for improving ES performance, and the degree of prioritization of the implementation of these strategies within projects. Results indicated a considerably high level of awareness of ES among respondents. Also, client requirements and compliance with ES-related policies were identified as critical drivers of improved ES performance, and the use of sustainable construction methods proved to be the most salient strategy for improving ES performance. However, the implementation of identified strategies for ES performance improvement was not shown to be a priority, pointing to a need for more client-driven implementation as a pivot for improved ES performance on construction projects. This study has important implications for construction stakeholders seeking to improve ES performance in the South African construction industry.

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Optimization of environmental impacts of construction projects: a time–cost–quality trade-off approach

Cited by 42 publications

References 42 publications

[Retracted] English Phrase Speech Recognition Based on Continuous Speech Recognition Algorithm and Word Tree Constraints

[Retracted] English Phrase Speech Recognition Based on Continuous Speech Recognition Algorithm and Word Tree Constraints

Resource-constrained time–cost-quality-energy-environment tradeoff problem by considering blockchain technology, risk and robustness: a case study of healthcare project

Evaluation of Factors Influencing Environmental Sustainability Performance of Construction Projects in South Africa

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