STUDY ON PERFORMANCE OF ANTI-OSCILLATION TANK AGAINST MOTION OF FLOATING CAISSON AND ITS SIMPLE ESTIMATION METHOD

2019 ◽  
Vol 75 (2) ◽  
pp. I_403-I_408
Author(s):  
Tomoaki NAKAMURA ◽  
Fumito ONUMA ◽  
Yonghwan CHO ◽  
Norimi MIZUTANI ◽  
Mikiko EGUCHI ◽  
...  
Keyword(s):  
Estimation Method ◽  
Simple Estimation

scholarly journals Estimating fusion properties for functionalised acids

2011 ◽  
Vol 11 (16) ◽  
pp. 8385-8394 ◽  
Author(s):  
S. Compernolle ◽  
K. Ceulemans ◽  
J.-F. Müller
Keyword(s):  
Vapour Pressure ◽  
Estimation Error ◽  
Estimation Method ◽  
Organic Aerosol ◽  
Estimation Methods ◽  
Fusion Temperature ◽  
Subcooled Liquid ◽  
Fusion Data ◽  
Simple Estimation ◽  
Data Estimation

Abstract. Multicomponent organic aerosol (OA) is likely to be liquid, or partially liquid. Hence, to describe the partitioning of these components, their liquid vapour pressure is desired. Functionalised acids (e.g. diacids) can be a significant part of OA. But often measurements are available only for solid state vapour pressure, which can differ by orders of magnitude from their liquid counterparts. To convert such a sublimation pressure to a subcooled liquid vapour pressure, fusion properties (two out of these three quantities: fusion enthalpy, fusion entropy, fusion temperature) are required. Unfortunately, experimental knowledge of fusion properties is sometimes missing in part or completely, hence an estimation method is required. Several fusion data estimation methods are tested here against experimental data of functionalised acids, and a simple estimation method is developed, specifically for this family of compounds, with a significantly smaller estimation error than the literature methods.

A compact stair-climbing wheelchair with two 3-DOF legs and a 1-DOF base

2016 ◽  
Vol 43 (2) ◽  
pp. 181-192 ◽  
Author(s):  
Chang-Hyuk Lee ◽  
Kyung-min Lee ◽  
Jehong Yoo ◽  
In-su Kim ◽  
Young-bong Bang
Keyword(s):  
Degrees Of Freedom ◽  
Flat Surface ◽  
Estimation Method ◽  
Stable Condition ◽  
Stair Climbing ◽  
Joint Power ◽  
Content Type ◽  
Flat Surfaces ◽  
Simple Estimation ◽  
The Stability

Purpose – The purpose of this paper is to describe a compact wheelchair, which has two 3-degrees of freedom (DOF) legs and a 1-DOF base (the total DOF of the leg system is 7) for stair-climbing, and wheels for flat surface driving. Design/methodology/approach – The proposed wheelchair climbs stairs using the two 3-DOF legs with boomerang-shaped feet. The leg mechanisms are folded into the compact wheelchair body when the wheelchair moves over flat surfaces. The authors also propose a simple estimation method of stair shape using laser distance sensors, and a dual motor driving system to increase joint power. Findings – The proposed wheelchair can climb arbitrary height and width stairs by itself, even when they are slightly curved. During climbing, the trajectory of the seat position is linear to guarantee the comfort of rider, and the wheelchair always keeps a stable condition to ensure the stability in an emergency stop. Originality/value – The wheelchair mechanism with foldable legs and driving wheels enables smooth stair climbing, efficient flat surface driving and additional useful motions such as standing and tilting.

scholarly journals Simple Estimation Method for Determining Weight Reduction in Torrefied Wood Chips by Color Data

2017 ◽  
Vol 63 (4) ◽  
pp. 176-182 ◽  
Author(s):  
Yoshitaka Kubojima ◽  
Takashi Yanagida ◽  
Takahiro Yoshida ◽  
Makoto Kiguchi
Keyword(s):  
Weight Reduction ◽  
Estimation Method ◽  
Wood Chips ◽  
Color Data ◽  
Simple Estimation

scholarly journals Silicon Content in Livestock Manure Compost and a Simple Estimation Method for it

2008 ◽  
Vol 19 (2) ◽  
pp. 150-154 ◽  
Author(s):  
Noriko Kobayashi ◽  
Mikio Morioka ◽  
Teppei Komiyama ◽  
Toyoaki Ito ◽  
Masahiko Saigusa
Keyword(s):  
Silicon Content ◽  
Estimation Method ◽  
Livestock Manure ◽  
Manure Compost ◽  
Simple Estimation ◽  
Livestock Manure Compost

Topology optimization of rotor design in switched reluctance motor using immune algorithm

2020 ◽  
Vol 64 (1-4) ◽  
pp. 413-420
Author(s):  
Fang Shiyang ◽  
Kota Watanabe
Keyword(s):  
Topology Optimization ◽  
Computational Cost ◽  
Estimation Method ◽  
Immune Algorithm ◽  
Current Waveform ◽  
Switched Reluctance ◽  
Rotor Design ◽  
Complex Shapes ◽  
Simple Estimation ◽  
High Computational Cost

A topology optimization of rotor design in switched reluctance (SR) motors based on immune algorithm and ON/OFF method to obtain practical shapes is presented in this paper. The topology optimization using evolutionary algorithms such as genetic algorithm often obtains complex shapes that are impossible to produce in engineering sense. To solve this difficulty, a filtering process is introduced in the present algorithm based on the immune algorithm. The current waveform in SR motors strongly depend on the inductance that varies by the shape of rotor. This results in high computational cost of numerical analysis to obtain the torque property. In this study, a simple estimation method to calculate the current waveform is introduced. This method enable to reduce the computational cost and perform the topology optimization in a practical time. The present method is applied to a topology optimization of SR motor. Optimization results show that feasible shapes are obtained and torque property is improved.

Estimating Error Component Models With General MA(q) Disturbances

1994 ◽  
Vol 10 (2) ◽  
pp. 396-408 ◽  
Author(s):  
Badi H. Baltagi ◽  
Qi Li
Keyword(s):  
Monte Carlo ◽  
Panel Data ◽  
Estimation Method ◽  
Error Component ◽  
Component Model ◽  
Brute Force ◽  
Monte Carlo Experiments ◽  
Error Component Model ◽  
Simple Estimation ◽  
Component Models

This paper provides a simple estimation method for an error component regression model with general MA(q) remainder disturbances. The estimation method utilizes the transformation derived by Baltagi and Li [3] for an error component model with autoregressive remainder disturbances, and a standard orthogonalizing algorithm for the general MA(q) model. This estimation method is computationally simple utilizing only least-squares regressions. This is important for panel data regressions where brute force GLS is in many cases not feasible.This estimation method performs well relative to true GLS in Monte-Carlo experiments.

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