A modified Hargreaves equation by free search and its application in Harbin

2011 ◽  
Author(s):  
Bin Wang ◽  
Fu Qiang ◽  
Wang Min ◽  
Lei Chengrui
Keyword(s):  
Hargreaves Equation ◽  
Free Search

scholarly journals Creation and Use of Online Gateway for School Libraries from Free Web 2.0 Tools

2021 ◽  
Author(s):  
Marion Jude M. Gorospe
Keyword(s):  
Web 2.0 ◽  
Information Needs ◽  
School Library ◽  
Relevant Information ◽  
Information Services ◽  
Web Based ◽  
Web 2.0 Tools ◽  
Online Tools ◽  
Other Information ◽  
Free Search

The school library is challenged to remain relevant in the 21st century learning environment. With young learners always consulting Google and other free search engines for subject assignment and other information needs and with the underwhelming quality of much web-based information, the school library must find an interesting and effective way to deliver authoritative and relevant information services through online tools. However, effective information services online are most often hosted from subscribed or paid Web 2.0 sites. These online services are capable of interactivity among learners and flexibility for individual schools’ administrative concerns. However, the ability to afford these services is frequently beyond the financial capability of schools from developing countries. The researcher explored the possibility of creating a school library website that serves as a pathfinder to online resources and electronically delivers other library-based school services using free Web 2.0 tools.

scholarly journals FAO-56 Penman-Monteith DailyETofrom Linear Regression Calibrated Hargreaves Equation with Wind Terms in Tropics with Limited Data

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Eric Kra
Keyword(s):  
Linear Regression ◽  
Quadratic Function ◽  
Constant Term ◽  
Calibration Method ◽  
Temperature Data ◽  
Limited Data ◽  
Wide Range ◽  
Hargreaves Equation ◽  
Historical Temperature ◽  
Monteith Equation

Hargreaves equation (HG), which lacks a wind speed (u2) term, was modified, through a linear regression calibration method, into LHGu which hasu2terms. LHGu is effectively a simplified method for approximating FAO-56 Penman-Monteith equation (FPM) daily reference evapotranspiration (ETo) in tropics with only temperature data. In LHGu, the “0.0023” constant term in HG was calibrated as a shifted power function ofu2, and the calibration constant was parametrized as a quadratic function ofu2. LHGu was developed using simulated constantu2data and historical temperature data for four sites in West Africa: Abidjan, Accra, Daloa, and Lome. LHGu matched FPMETobetter than HG over a wide range ofu2: for Accra, foru2range 0.5–6.0 m/s, the modified coefficient of efficiency,E1, varied narrowly (0.83–0.98) for LHGu but widely (0.14–0.95) for HG optimized foru2=2.0 m/s; the corresponding MBE ranges were −0.05–0.01 mm/d for LHGu and 0.02–0.63 mm/d for HG which cannot respond to varying dailyu2. LHGu is useful for quickly computing practically accurate estimates of FPMETofor varying dailyu2where only temperature data are available.

FINDING MULTIPLE LOCAL MINIMA USING CHAOTIC JUMP

1998 ◽  
Vol 07 (01) ◽  
pp. 105-115 ◽  
Author(s):  
CHANGKYU CHOI ◽  
JU-JANG LEE
Keyword(s):  
Search Algorithm ◽  
Gaussian Function ◽  
Search Space ◽  
Planning Problem ◽  
Local Minima ◽  
Chaotic Motions ◽  
Quality Function ◽  
Unstructured Search ◽  
Free Search ◽  
Minimum Points

In this paper, the local minima free search algorithm using chaos is proposed for an unstructured search space. The problem is that given the quality function, find the value of a configuration that minimizes the quality function. The proposed algorithm started basically from the gradient search technique but at the prescribed points, that is, local minimum points, which are to be automatically detected the chaotic jump is introduced by the dynamics of a chaotic neuron. Chaotic motions are mainly because of the Gaussian function having a hysteresis as a refractoriness. In order to enhance the probability of finding the global minimum, a parallel search strategy is also given. The validity of the proposed method wil be verified in simulation examples of the function minimization problem and the motion planning problem of a mobile robot.

Sign in / Sign up

Export Citation Format

Share Document