The Effect of Design Parameter for Window Wiper System under Arctic Conditions
Proceeding: Second International Conference on Electrical, Electronics, Computer Engineering and their Applications (EECEA2015)Publication Date: 2015-02-12
Authors : Rock-Won Jeon; Si-Pom Kim; Do-Gyum Lee; Jae-Hoon Lee;
Page : 51-56
Keywords : Window wiper system; Design of experiments; ANOVA;
- Performance Analysis of Cross Component Carrier Scheduling in LTE Small Cell Access Point System
- System Consideration, Design and Implementation of Point To Point Microwave Link for Internet Access
- Comparative Performance of Carrier Based PWM Schemes for Single Star Bridge Cell (SSBC) Configuration
- Performance analysis of queueing system model under priority scheduling algorithms within 5G networks slicing framework
- Performance Evaluation of Cross Layer QoS scheduling for Long Term Evolution Network
Abstract
Environmental changes, especially global climate change, are creating new routes to reduce a shipping service distance in Arctic area. But the low temperature in Arctic condition changes the material property. Especially, the base materials related to the shipbuilding and offshore plant were not properly designed and manufactured. So, this paper discusses the development of the design, describes the experiment to determine variations and presents the results. By using the design of experiment, one of the optimization strategic, for design of window wiper system, we selected the combination of main design factors. For qualifying the design technology, we compared and analyzed that results by doing both numerical study and experimentsEnvironmental changes, especially global climate change, are creating new routes to reduce a shipping service distance in Arctic area. But the low temperature in Arctic condition changes the material property. Especially, the base materials related to the shipbuilding and offshore plant were not properly designed and manufactured. So, this paper discusses the development of the design, describes the experiment to determine variations and presents the results. By using the design of experiment, one of the optimization strategic, for design of window wiper system, we selected the combination of main design factors. For qualifying the design technology, we compared and analyzed that results by doing both numerical study and experiments.
Other Latest Articles
- Monte Carlo Simulations: A Case Study of Systemic Risk Modelling
- Comparative Performance Analysis and Evaluation for One Selected Behavioral Learning System Versus an Ant Colony Optimization System
- A Small Area 5GHz LC VCO with an On-Chip Solenoid Inductor using a 0.13 μm Digital CMOS Technology
- Hardware Architecture of FAST Algorithm for Feature Point Detection
- Grading of Carabao Mango Using Image Processing
Last modified: 2015-02-20 22:57:44