A data-driven study of important climate factors on the achievement of LEED-EB credits

Cheng, Jack Chin Pang; Lucky, J.

doi:10.1016/j.buildenv.2014.11.029

Cited by 45 publications

(12 citation statements)

References 25 publications

(21 reference statements)

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“…In the ecological environment treatment, the development of information technology has accelerated the monitoring and management of the environment, 1,2 which can effectively realize the analysis of ecological data. 3,4 Remote sensing image analysis is an effective method. It segmentation is the division of image regions into different regions and boundaries.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Remote sensing image landmark segmentation algorithm based on improved GSA and PCNN combination

Liu¹,

Chen

2020

International Journal of Electrical Engineering & Education

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Application of Remote Sensing Technology in the Development of Urban Functions is presented. Remote sensing image processing for ecological protection and monitoring, this paper proposes a remote sensing image landmark segmentation algorithm based on the IGSA and PCNN. Because the GSA algorithm has the disadvantages of premature convergence and is easy to fall into the local optimal solution, the improved IGSA algorithm is used to extract the ratio of the image entropy and energy to IGSA, and the entropy change value is used as the IGSA algorithm. Based on the global search ability of IGSA, the optimal value of the key parameters affecting the segmentation effect in PCNN model is found. Finally, through experimental comparison, the proposed method has strong advantages in segmentation effect, real-time and robustness

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Section: Introductionmentioning

confidence: 99%

RETRACTED: Remote sensing image landmark segmentation algorithm based on improved GSA and PCNN combination

Liu¹,

Chen

2020

International Journal of Electrical Engineering & Education

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“…In addition, LEED deals with twentyone building types, including: New Construction, Core and Shell, Schools, Retail, Data Centers, Warehouses and Distribution Centers, Hospitality, and Healthcare. Depending on the accumulation of points, successful projects are granted with the following levels of certification: Certified (40−49 points), Silver (50−59 points), Gold (60−79 points), or Platinum (80-110 points) [24].…”

Section: Leadership In Energy and Environmental Design (Leed)mentioning

confidence: 99%

Digital Technologies and Sustainability Assessment: A Critical Review on the Integration Methods between BIM and LEED

Cascone

2023

Sustainability

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In the context of sustainable development and parametric design, it is interesting to analyze the possible synergies between Leadership in Energy and Environmental Design (LEED), the most-used certification scheme for the design, construction, and management of green buildings, and Building Information Modeling (BIM), which supports the supply, integration, and management of information throughout the building life cycle. This paper aims to review the state of the art of the different integration methods between LEED and BIM at the early design phase. Third-party software information exchange, the cloud-BIM approach, and plug-in development using application program interface (API) were considered as possible integration strategies to automate LEED certification by BIM. In addition, optimization models and rule-based methods were analyzed. Finally, a critical review on the limitations, advantages and future research developments in LEED and BIM integration was clearly defined. Although the development of plug-ins was the most powerful integration method, it requires advanced informatics knowledge. On the other hand, using third-party tools increased manual working and checking due to interoperability issues. A visual programming language (VPL) can allow designers and researchers without any informatics knowledge to create parametric BIM models by including LEED requirements.

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“…′ is the predictions of the classification model, are the values of the binary features. Traditional associative classifier mines all frequent class association rules (CARs) as essential decision-rules [32]. It checks whether each CAR matches the test instance during the testing phase and chooses the first CAR matching the test instance to predict the class.…”

Section: ) Lazy Ensembled Adaptive Associative Classifier (Leaac)mentioning

confidence: 99%

A Spatial Analysis Methodology Based on Lazy Ensembled Adaptive Associative Classifier and GIS For Examining the Influential Factors on Traffic Fatalities

Zhai¹,

Li²,

Jiang

et al. 2020

IEEE Access

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Analyzing the influential factors of traffic accidents has been a hot topic in city management. Most existing literature in this domain implemented linear based sensitivity analysis in statistics to study the problems. However, the linear assumption limits their model performance and therefore interferes with the detection of influential factors. Recent studies started to use nonlinear machine learning methods to explore the problem. One of the most popular ways is the association rule analysis. Based on the Support and Confidence value, researchers were able to identify the top influential factors. However, (1) the identification of the thresholds for Support and Confidence has not been well solved in related studies. This study, therefore, proposes Lazy ensembled adaptive Associative Classifier to tackle this problem. Besides, (2) most of the existing literature only analyzed the general relationships between the influential factors and the traffic fatality but did not further investigate their spatial connections. Those studies could not answer specific questions like "which region should be focused more on alcohol control?", or "where requires more attention on motorcycle control?". This study combines the road-based GIS analysis and the results from association rule analysis to spatially analyze the relationships between the impact factors and the traffic fatalities. Specific suggestions on city management and traffic control were proposed thereafter.

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A data-driven study of important climate factors on the achievement of LEED-EB credits

Cited by 45 publications

References 25 publications

RETRACTED: Remote sensing image landmark segmentation algorithm based on improved GSA and PCNN combination

RETRACTED: Remote sensing image landmark segmentation algorithm based on improved GSA and PCNN combination

Digital Technologies and Sustainability Assessment: A Critical Review on the Integration Methods between BIM and LEED

A Spatial Analysis Methodology Based on Lazy Ensembled Adaptive Associative Classifier and GIS For Examining the Influential Factors on Traffic Fatalities

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