Download Jumpstarters for Energy Technology, Grades 4 - 8 by Schyrlet Cameron PDF

By Schyrlet Cameron

Attach scholars in grades four and up with technology utilizing Jumpstarters for strength expertise: brief day-by-day Warm-Ups for the study room! This 48-page source explores new strength applied sciences, equivalent to solar power, geothermal strength, biomass fuels, and hydroelectricity. It contains 5 warm-ups in step with reproducible web page, solution keys, and recommendations to be used.

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Extra resources for Jumpstarters for Energy Technology, Grades 4 - 8

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The blue top part of indoor image 7 is also misleading. Indoor image 8 is difficult since its wall contains the outdoor view and painting. Indoor image 9 can be even challenging to human being since one may make a different decision depending on the existence of the ceiling and the wall. For outlying images, low-level features mislead KPK to draw a confident yet wrong conclusion. Human can make a correct decision by understanding the semantic meaning of these scenes such as the river, the street and the ocean in outdoor images 1 – 3 , respectively.

2. Several later methods, such as SSL [34] and VFJ [42], followed the same structure with minor changes. As shown in the flow chart of Fig. 2, basic operations of the SP method include: partitioning, feature extraction, model training and decision pooling. In the partitioning step, the original image is divided into 4 × 4 blocks for future feature extraction and model training. It is conducted so as to preserve a coarse spatial structure of the input image. , color, texture and frequency) are used as detailed below.

14. The procedure to transform from the RGB color space to the HSV color space can be written as: The values of R, G, B three color channels are all normalized to [0,1]. Cmax = max(R, G, B) Cmin = min(R, G, B) Δ = Cmax − Cmin ⎧ mod 6) Cmax = R ⎨60 × ( G−B Δ H= 60 × ( B−R + 2) Cmax = G Δ ⎩ 60 × ( R−G + 4) Cmax = B Δ S= 0 Δ=0 Δ=0 Δ Cmax V = Cmax Fig. 12) 38 3 Indoor/Outdoor Classification with Multiple Experts The hue value represents a color tone with an angle in the HSV color space. The values are quantized into K color orientation histogram bins.

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