— Mexico Yield Analysis. Normally, longer-duration interest rates are higher than short-duration. So, the yield curve normally slopes upward as duration increases. For this reason, the spread (i.e. the yield difference) between a longer and a shorter bond should be positive. If not, the yield curve can be flat or inverted.
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— Introduction. There are many methods for designing normal and high strength concrete mixes. The objective of designing a concrete mix is to determine the amounts …
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— Optimal design of steel–concrete composite bridge based on a transfer function discrete swarm intelligence algorithm. Bridge optimization can be complex …
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— Application of signal processing techniques and intelligent classifiers for high-impedance fault detection in ensuring the reliable operation of power distribution systems ... The long-term persistence of …
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— Therefore, it is necessary to develop a new cementitious material system with good anti-dispersion, high strength, and better durability for the rapid underwater repair of concrete structures. Ultra-high performance concrete (UHPC) is a revolutionary new type of cement-based composite material with a low water-binder ratio (0.14–0.22) and ...
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Shear-friction behaviour on smooth interface between high-strength and lightweight concrete Zhuangcheng Fang PhD candidate, School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou Higher Education Mega Center, Guangzhou, China Haibo Jiang Professor, School of Civil and Transportation …
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Automatic object recognition in digital satellite images is not a simple task due to several variations present in the capture process and object appearance and pose, consequently, different general purpose techniques have been proposed. In this paper, an approach with LBP boosted cascade classifier for automatic runway detection in high resolution …
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— Joint ACI (American Concrete Institute)-ASCE. (2002). "Recommendations for design of beam-column connections in monolithic reinforced concrete structures." ACI 352R-02, American Concrete Institute, Farmington Hills, MI.
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— The major raw materials used as a source of CaO for cement manufacturing are limestone, chalk, marl, etc. These raw materials by virtue of their natural occurrence contains other mineral impurities e.g, MgO, SiO 2, Al 2 O 3, Fe 2 O 3, alkali compounds, and sulfides.These impurities play an important role to influence the cement …
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— Visualizing decision boundaries of machine learning classifiers can help in classifier design, testing and fine-tuning. Decision maps are visualization techniques that overcome the key sparsity-related limitation of scatterplots for this task. To increase the trustworthiness of decision map use, we perform an extensive evaluation considering …
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— A single threshold can be selected and the classifiers' performance at that point compared, or the overall performance can be compared by considering the AUC. Most published reports compare AUCs in absolute terms: "Classifier 1 has an AUC of 0.85, and classifier 2 has an AUC of 0.79, so classifier 1 is clearly better". It is, however ...
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— The reflux classifier (RC) is a combination of conventional fluidized bed and inclined parallel plates lamella separator, which makes it as a new high throughput classifier by self-recycling act ...
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3.2. Data expansion and preprocessing. The deep residual network model has achieved excellent results in the field of natural image classification, but in the training process of using the residual network to intelligently classify concrete diseases, a large number of training samples are also required to make the model obtain the optimal parameters.
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— Obtain predictions and predicted probabilities from your model for the test set. Most classifiers provide a probability score indicating the confidence of the prediction. A binary classifier typically outputs …
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Concrete Crack Classifier. This repo contains a jupyter notebook that provides an in-depth workflow for creating a simple CNN to identify cracks in images of concrete using Tensorflow. The notebook also contains instructions on how to get the data. The environment used to build the model is documented in the environments.yml file.
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— The American Concrete Institute. Founded in 1904 and headquartered in Farmington Hills, Michigan, USA, the American Concrete Institute is a leading authority and resource worldwide for the development, dissemination, and adoption of its consensus-based standards, technical resources, educational programs, and proven expertise for …
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— Zheng 29 proposed an improved crack detection method of YOLO v4 lightweight visual model, which meets the real-time operation requirements without …
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— Classifying concrete defects during a bridge inspection remains a subjective and laborious task. The risk of getting a false result is approximately 50% if different inspectors assess the same ...
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Concrete Strength Testing equipment measures compressive or flexural strength of concrete to assure compliance with specifications. Gilson's concrete compression …
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— A comprehensive comparison reveals economic feasibility, environmental ramifications, and social life cycle assessments, with an augmented steel yield strength …
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— Field tests: The maximum rockfill particle size of a high rockfill dam is 600–800 mm; therefore, it is necessary to perform large-scale tests in the fieldbined with field compaction tests on dam construction materials, compression tests with the original grain size have been conducted in a tunnel (Fig. 2) for the Cihaxia project.The …
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Self-compacting concrete (SCC) has considerably lower yield stress as compared to the conventional vibrated concrete (CVC) in their fresh condition and this forms one of their primary differences. ... Static and dynamic yield stress are dependent on the flow operation. Concrete must experience shear stress when it is "at rest" in order for ...
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Class Classifier for "crop yield prediction Based on Nutrient Feature of The Soil" ... soybean yield using high-resolution remote sensing data. Journal of Geophysical Research: io geosciences, í î(), e î ì îJG ñ ò ð. í ï. Li, Y., Zhang, X., Liu, F., & Li, Q. (). Prediction of rice yield using machine learning algorithms based
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"Operation Concrete" is the first film released by Jean-Luc Godard, one of the most legendary souls in cinema. The film was shot and released in 1955, when Godard worked as a construction worker, working with …
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CURE AND SEAL THE CONCRETE. Once you're done with finishing, let the concrete dry and achieve full strength, this is called curing.You can use your concrete for light foot traffic 3 to 4 days after placement, and you can drive and park on your concrete after 5 to 7 days, but curing isn't complete until the 28 day mark.
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objective of this document is to provide guidelines on how to specify and build smooth concrete pavements. 17. Key Words concrete pavement construction—concrete pavement guidelines— concrete pavement smoothness—pavement ride quality—real-time smoothness 18. Distribution Statement No restrictions. 19. Security Classif. (of this …
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— High efficiency classifiers: These combine useful elements both of the above technologies by using a static set of vanes to guide the airflow into a rotating rotor, alongside other optional features. Upgrading …
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Introduction. Particle size separation or classification can be one of the more challenging unit operations in particle technology. With average particle size distributions greater …
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— Available product densities range from light 300kg/m 3 for green and high insulation applications to 800 kg/m 3 for sound insulating options. All products will be made in the SUPER SMOOTH surface standard. Read more about our product portfolio. Future. Aircrete Mexico is set out to contribute to improvements in construction methods in Mexico.
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— Autonomous vision-based taxi, takeoff, and landing systems are gaining popularity in fixed-wing commercial, military, and unmanned aerial vehicles presenting new technical and regulatory challenges.
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Classifying concrete defects during a bridge inspection remains a subjective and laborious task. The risk of getting a false result is approximately 50% if different inspectors assess the same concrete defect. This is significant in the light of an over-aging bridge stock, decreasing infrastructure maintenance budgets and catastrophic bridge collapses as …
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— dacl10k is an exceptionally diverse RCD dataset for multi-label semantic segmentation comprising 9,920 images deriving from real-world bridge inspections and distinguishes 12 damage classes as well as 6 bridge components that play a key role in the building assessment and recommending actions, such as restoration works, traffic load …
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