scholarly journals Large-area perfect blackbody sheets having aperiodic array of surface micro-cavities for high-precision thermal imager calibration

2020 ◽  
Vol 28 (15) ◽  
pp. 22606
Author(s):  
Yuhei Shimizu ◽  
Hiroshi Koshikawa ◽  
Masatoshi Imbe ◽  
Tetsuya Yamaki ◽  
Kuniaki Amemiya
Keyword(s):  
High Precision ◽  
Thermal Imager ◽  
Large Area

scholarly journals Large Area Forest Yield Estimation with Pushbroom Digital Aerial Photogrammetry

Forests ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 397 ◽  
Author(s):  
Jacob Strunk ◽  
Petteri Packalen ◽  
Peter Gould ◽  
Demetrios Gatziolis ◽  
Caleb Maki ◽  
...  
Keyword(s):  
High Precision ◽  
Low Cost ◽  
Digital Terrain Model ◽  
Performance Estimation ◽  
Large Area ◽  
Terrain Model ◽  
Federal Organizations ◽  
Governmental Organizations ◽  
Aerial Photogrammetry ◽  
Non Governmental Organizations

Low-cost methods to measure forest structure are needed to consistently and repeatedly inventory forest conditions over large areas. In this study we investigate low-cost pushbroom Digital Aerial Photography (DAP) to aid in the estimation of forest volume over large areas in Washington State (USA). We also examine the effects of plot location precision (low versus high) and Digital Terrain Model (DTM) resolution (1 m versus 10 m) on estimation performance. Estimation with DAP and post-stratification with high-precision plot locations and a 1 m DTM was 4 times as efficient (precision per number of plots) as estimation without remote sensing and 3 times as efficient when using low-precision plot locations and a 10 m DTM. These findings can contribute significantly to efforts to consistently estimate and map forest yield across entire states (or equivalent) or even nations. The broad-scale, high-resolution, and high-precision information provided by pushbroom DAP facilitates used by a wide variety of user types such a towns and cities, small private timber owners, fire prevention groups, Non-Governmental Organizations (NGOs), counties, and state and federal organizations.

scholarly journals Low-Latency and Minor-Error Architecture for Parallel Computing XY-Like Functions with High-Precision Floating-Point Inputs

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 69
Author(s):  
Ming Liu ◽  
Wenjia Fu ◽  
Jincheng Xia
Keyword(s):  
High Precision ◽  
Relative Error ◽  
State Of The Art ◽  
Latency Period ◽  
Limited Range ◽  
The State ◽  
Floating Point ◽  
Cordic Algorithm ◽  
Maximum Relative Error ◽  
Large Area

This paper proposes a novel architecture for the computation of XY-like functions based on the QH CORDIC (Quadruple-Step-Ahead Hyperbolic Coordinate Rotation Digital Computer) methodology. The proposed architecture converts direct computing of function XY to logarithm, multiplication, and exponent operations. The QH CORDIC methodology is a parallel variant of the traditional CORDIC algorithm. Traditional CORDIC suffers from long latency and large area, while the QH CORDIC has much lower latency. The computation of functions lnx and ex is accomplished with the QH CORDIC. To solve the problem of the limited range of convergence of the QH CORDIC, this paper employs two specific techniques to enlarge the range of convergence for functions lnx and ex, making it possible to deal with high-precision floating-point inputs. Hardware modeling of function XY using the QH CORDIC is plotted in this paper. Under the TSMC 65 nm standard cell library, this paper designs and synthesizes a reference circuit. The ASIC implementation results show that the proposed architecture has 30 more orders of magnitude of maximum relative error and average relative error than the state-of-the-art. On top of that, the proposed architecture is also superior to the state-of-the-art in terms of latency, word length and energy efficiency (power × latency × period /efficient bits).

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