scholarly journals Preferences of farmed blue foxes for platforms, nestbox and cage floor

1994 ◽  
Vol 3 (5) ◽  
pp. 467-472
Author(s):  
Hannu Korhonen ◽  
Paavo Niemelä
Keyword(s):  
Preference Test ◽  
Test System ◽  
Winter Period ◽  
Test Situation ◽  
The Real ◽  
Real Effects ◽  
Platform Location ◽  
Cage Floor ◽  
Present Test

A preference test system was devised to assess the preferences of farm-raised, juvenile blue foxes for six various types of resting platforms, including nestbox roof, and for nestbox and cage floor. The results showed that platform use was low since the test foxes preferred the cage floor. The amount of previous individual platform usage did not affect preference. However, foxes originating from groups with a high amount of previous platform use also had the highest amount of platform usage in the test situation. Of all the platforms, the nestbox roof was preferred the most. Although the location of the platform in the present test situation was found to affect preference, it was difficult to finally separate the real effects of platform location and type. No relationship was found between temperature and use of the platforms or nestbox. On the basis of the present results we may conclude that platforms are not actually necessary for foxes during winter period.

Factual Power Loss Diminution by Enhanced Frog Leaping Algorithm

2020 ◽  
Vol 3 (2) ◽  
pp. 114-118
Author(s):  
Kanagasabai Lenin
Keyword(s):  
Local Search ◽  
Power Loss ◽  
Reactive Power ◽  
Test System ◽  
Premature Convergence ◽  
Speed Of Convergence ◽  
Real Power ◽  
The Real ◽  
Simulation Results ◽  
Power Problem

This paper proposes Enhanced Frog Leaping Algorithm (EFLA) to solve the optimal reactive power problem. Frog leaping algorithm (FLA) replicates the procedure of frogs passing though the wetland and foraging deeds. Set of virtual frogs alienated into numerous groups known as “memeplexes”. Frog’s position’s turn out to be closer in every memeplex after few optimization runs and certainly, this crisis direct to premature convergence. In the proposed Enhanced Frog Leaping Algorithm (EFLA) the most excellent frog information is used to augment the local search in each memeplex and initiate to the exploration bound acceleration. To advance the speed of convergence two acceleration factors are introduced in the exploration plan formulation. Proposed Enhanced Frog Leaping Algorithm (EFLA) has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss considerably.

The Real Effects of Mandatory Quarterly Reporting

2015 ◽  
Author(s):  
JJrgen Ernstberger ◽  
Benedikt Link ◽  
Michael Stich ◽  
Oliver Vogler
Keyword(s):  
The Real ◽  
Real Effects

The Real Effects of FAS 166 and FAS 167

2016 ◽  
Author(s):  
Yiwei Dou ◽  
Stephen G. Ryan ◽  
Biqin Xie
Keyword(s):  
The Real ◽  
Real Effects

Does Financial Fair Play Matter? The Real Effects of UEFA Regulation for European Football Clubs

2019 ◽  
Author(s):  
Ariela Caglio ◽  
Sébastien Laffitte ◽  
Donato Masciandaro ◽  
Gianmarco I.P. Ottaviano
Keyword(s):  
Fair Play ◽  
The Real ◽  
Real Effects ◽  
Financial Fair Play ◽  
Football Clubs ◽  
European Football

Power Test System Development and Dynamic Performance State Estimation Based on Hub Motor Vehicle

2020 ◽  
Vol 13 (2) ◽  
pp. 126-140
Author(s):  
Jing Gan ◽  
Xiaobin Fan ◽  
Zeng Song ◽  
Mingyue Zhang ◽  
Bin Zhao
Keyword(s):  
Real Time ◽  
Dynamic Performance ◽  
Test System ◽  
Operating Conditions ◽  
Motor Vehicles ◽  
Maximum Speed ◽  
Performance Parameters ◽  
Power Performance ◽  
Power Test ◽  
The Real

Background: The power performance of an electric vehicle is the basic parameter. Traditional test equipment, such as the expensive chassis dynamometer, not only increases the cost of testing but also makes it impossible to measure all the performance parameters of an electric vehicle. Objective: A set of convenient, efficient and sensitive power measurement system for electric vehicles is developed to obtain the real-time power changes of hub-motor vehicles under various operating conditions, and the dynamic performance parameters of hub-motor vehicles are obtained through the system. Methods: Firstly, a set of on-board power test system is developed by using virtual instrument (Lab- VIEW). This test system can obtain the power changes of hub-motor vehicles under various operating conditions in real-time and save data in real-time. Then, the driving resistance of hub-motor vehicles is analyzed, and the power performance of hub-motor vehicles is studied in depth. The power testing system is proposed to test the input power of both ends of the driving motor, and the chassis dynamometer is combined to test so that the output efficiency of the driving motor can be easily obtained without disassembly. Finally, this method is used to carry out the road test and obtain the vehicle dynamic performance parameters. Results: The real-time current, voltage and power, maximum power, acceleration time and maximum speed of the vehicle can be obtained accurately by using the power test system in the real road experiment. Conclusion: The maximum power required by the two motors reaches about 9KW, and it takes about 20 seconds to reach the maximum speed. The total power required to maintain the maximum speed is about 7.8kw, and the maximum speed is 62km/h. In this article, various patents have been discussed.

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