scholarly journals An orbital construction of optimum distance flag codes

2021 ◽  
Vol 73 ◽  
pp. 101861
Author(s):  
Clementa Alonso-González ◽  
Miguel Ángel Navarro-Pérez ◽  
Xaro Soler-Escrivà
Keyword(s):  
Optimum Distance

scholarly journals Estimating primary energy of cosmic rays by calculating secondary particles density in optimum distance from shower core

2018 ◽  
Vol 27 (02) ◽  
pp. 1750190
Author(s):  
G. Rastegarzadeh ◽  
L. Rafezi
Keyword(s):  
Primary Particle ◽  
Primary Energy ◽  
Energy Estimation ◽  
Array Configuration ◽  
Secondary Particles ◽  
Shower Core ◽  
Optimum Distance ◽  
Array Detectors ◽  
Estimation Function ◽  
Minimum Uncertainty

Optimum distance (R[Formula: see text]) is a distance from the shower core in which the density calculated by lateral distribution function, has its minimum uncertainty. In this paper, using CORSIKA code, proton, carbon and iron primary in the energy range between 10[Formula: see text]–[Formula: see text][Formula: see text]eV are simulated to find R[Formula: see text] for Alborz-I array located at an altitude of 1200[Formula: see text]m above sea level. It is shown that R[Formula: see text] is approximately independent of characteristics of primary particle and it is only dependent to array configuration. Dependency of R[Formula: see text] on layout and detector spacing for 20 Alborz-I array detectors, are studied. It is shown that the Alborz-I array layout and its detector spacing result into the best (minimum uncertainty) R[Formula: see text] for its number of detectors. In this work, R[Formula: see text] for Alborz-I array is obtained about [Formula: see text][Formula: see text]m (from NKG function) and [Formula: see text][Formula: see text]m (from NKG type function). In addition, it is shown that, by finding dependency of primary energy to density in optimum distance, energy of primary particle can be estimated well. An energy estimation function is suggested and the function is examined by another set of simulated showers.

Effective Learning Through Optimum Distance Among Team Members

2011 ◽  
pp. 1268-1271
Author(s):  
Bishwajit Choudhary
Keyword(s):  
Decision Making ◽  
Organizational Learning ◽  
Learning Theories ◽  
Team Members ◽  
Effective Learning ◽  
Optimum Distance

For several years, researchers have argued that too much closeness or distance among the team members inhibits intellectual debate and lowers the quality of decision-making. In fact it is often said that if two people always agree, then one is useless and if they always disagree, then both are useless. While too much “closeness” leads to copycat attitude, too much “distance” among the team members results in incompatibility. Creating teams in which the members experience “optimum distance” is not easy. In this backdrop, we have identified certain gaps in the contemporary organizational learning theories and developed conceptual constructs and conditions that are likely to cause optimum distance in teams.

scholarly journals E3Cs: A Research-Based Model for Effective Digital Learning for K-6 Schools

2020 ◽  
Vol 29 (2) ◽  
pp. 24
Author(s):  
Candace Figg ◽  
Keith Crawford ◽  
Chunlei Lu ◽  
Olivia Lu
Keyword(s):  
Learning Communities ◽  
Affective Domain ◽  
Digital Learning ◽  
Distance Teaching ◽  
School Year ◽  
Teaching Situation ◽  
Optimum Distance ◽  
Age Appropriate ◽  
K 12 ◽  
Digital Instruction

Due to the COVID-19 pandemic, teachers in Ontario were thrust into a new teaching situation at the end of the 20192020 school year for which few were prepared. To address the need for guidance in transitioning to distance teaching, we offer the e-3Cs model, a research-based framework with flexible elements essential for promoting optimum distance interactions for K12 learning, more specifically applied to younger learners (K6). Serving as a tool for designing age-appropriate digital instruction while honouring and caring for affective domain needs of students, the model provides the necessary support for teachers in the purposeful design of digital learning communities.

scholarly journals Improving the economic efficiency of production biodieselfuel

2019 ◽  
pp. 43-50
Author(s):  
М. Senchuk ◽  
L. Gutko
Keyword(s):  
Economic Efficiency ◽  
Raw Materials ◽  
Direct Costs ◽  
Production Optimization ◽  
Biodiesel Production ◽  
Biofuel Production ◽  
Design Stage ◽  
Biodiesel Fuel ◽  
Optimum Distance ◽  
The Cost

In order to optimize the performance of transportation works for the transportation of raw materials for the production of biodiesel fuel, the article examines the technology when oil from oilseeds is obtained at the processing points where they are grown. The resulting oil is transported to a biodiesel production plant. The methodological bases for calculating the optimum distance from oilseed grain storage sites to a mechanized oil production point are presented. Possible ways of the efficiency improving of production of biofuel at the stage of the planning are presented. Methodical bases of calculation of distance to mechanized points for biofuel production are given. A formula for determining the optimum capacity of an item for the processing of oil seeds and for obtaining raw materials for the production of biofuels has been derived. It is established that optimum transportation distance of rape is 14,4 km, productivity of the rapeseed oil processing plant is 21280 tons/year and for 25% of the oil yield 5320 tons of biofuel raw materials can be obtained, when the total overhead costs are Zv = 360000 UAH / year; specific costs of transportation of raw materials сp = 2,6 UAH/ (тkm); yield of oilseed rape = 1 t / ha (100 t / km2); the density of the placement of fields a = 0.4. The developed method can be used to calculate the location, performance of points for the manufacture of briquettes or pellets. The direction of increasing the efficiency of biodiesel production at plants at the stage of their planning is to determine the optimal annual productivity of the plant, taking into account transport costs for the transportation of raw materials - oil. The optimum distance of transportation of oil and productivity of the plant for biodiesel production is established for the cost of transportation - 2.6 UAH / t • km, overhead costs 13000000 UAH, direct costs for the production of 1 ton of biodiesel fuel - 25000 UAH Therefore, the optimal distance of transportation of oil for the production of biofuels - 101 km, the capacity of the plant - 58923 tons. The dependence of the cost of production of biodiesel fuel on the distance of transportation of oil is calculated: for distance to plant 40 km – the cost of biofuel production – 25596 UAH/t, for 60 km – 25496 UAH /t, for 80 km – 25462 UAH /t, for 100 km – 25459 UAH /t, for 120 km – 25471 UAH /t, for 140 km – 25493 UAH /t. The proposed method provides an opportunity to determine the optimum productivity of the plant for the processing of organic raw materials into biofuels, taking into account the distance of its transportation at the design stage. Key words: biodiesel, economic efficiency, production optimization, direct costs, overhead costs.

scholarly journals The optimum distance at which to determine the size of a giant air shower

2007 ◽  
Vol 26 (6) ◽  
pp. 414-419 ◽  
Author(s):  
D NEWTON ◽  
J KNAPP ◽  
A WATSON
Keyword(s):  
Air Shower ◽  
Optimum Distance

Meteorological Aspects of Wind Park Design

Green ◽  
2011 ◽  
Vol 1 (2) ◽  
Author(s):  
Stefan Emeis
Keyword(s):  
Thermal Stability ◽  
Surface Roughness ◽  
Wind Turbines ◽  
Land Surface ◽  
Solvable Model ◽  
Thermal Conditions ◽  
Offshore Wind ◽  
Momentum Balance ◽  
Optimum Distance ◽  
Wind Park

AbstractA simple consideration - based on an analytically solvable model of the momentum balance - is presented, which calculates the reduction in wind speed at hub height in an indefinitely large wind park as function of surface roughness, atmospheric thermal stability, and the mean distance between the wind turbines in this wind park. Weakest reduction occurs for a wind park erected on a rough land surface during unstable thermal stratification (minus 2%). Highest reduction occurs for an offshore wind park over a very smooth sea surface during stable thermal conditions (minus 45%). This model can be used to find the optimum distance between wind turbines in wind parks. Likewise this model calculates the wake length of entire wind parks as function of surface roughness and thermal stability. For offshore wind parks wake lengths between 10 and 30 km are found, for onshore parks this length is much less. This additional information can be used to find the optimum distance between adjacent wind parks.

On the Optimum Distance Profiles About Linear Block Codes

2010 ◽  
Vol 56 (3) ◽  
pp. 1007-1014 ◽  
Author(s):  
Yuan Luo ◽  
A. J. Han Vinck ◽  
Yanling Chen
Keyword(s):  
Block Codes ◽  
Linear Block Codes ◽  
Optimum Distance ◽  
Linear Block
Sign in / Sign up

Export Citation Format

Share Document