The establishment and YAG:Ce-based WLED application of simulation data generation platform of light sources’ color characteristics

2019 ◽  
Vol 434 ◽  
pp. 230-238 ◽  
Author(s):  
Zhongyue Wang ◽  
Ruilin Zheng ◽  
Kehan Yu ◽  
Chunxiao Liu ◽  
Wei Wei
Keyword(s):  
Light Sources ◽  
Data Generation ◽  
Simulation Data ◽  
Color Characteristics

scholarly journals Application of Extreme Learning Machine in GPS Positioning Process

2018 ◽  
Vol 176 ◽  
pp. 01034
Author(s):  
Chengxin Li ◽  
Jing Peng ◽  
Lv Zhicheng ◽  
Mengli Wang ◽  
Gang Ou
Keyword(s):  
Extreme Learning Machine ◽  
Experimental Simulation ◽  
Data Generation ◽  
Simulation Experiments ◽  
Simulation Data ◽  
Gps Positioning ◽  
Network Training ◽  
Generation Network ◽  
Network Prediction ◽  
Learning Machine

In the positioning process of GPS, the linear least squares algorithm and Kalman filtering algorithm are widely used but still have shortcomings. Application of extreme learning machine in this area is proposed in this paper, which breaks through the limitations of the traditional method of positioning based on mathematical models. Two simulation experiments of ELM in GPS positioning process are presented in this paper while the latter is a supplement to the former. Each one contains three phases, including simulation data generation, network training and network prediction, each of which is considered carefully. The feasibility of extreme learning machine is verified through experimental simulation. A more accurate positioning result can be obtained.

Onset Times and Detection of Colored Signal Lights

2005 ◽  
Vol 1918 (1) ◽  
pp. 123-127
Author(s):  
John D. Bullough
Keyword(s):  
Visual Detection ◽  
Practical Significance ◽  
Light Sources ◽  
Significant Potential ◽  
Color Characteristics ◽  
Signal Light ◽  
Wide Range ◽  
The Impact ◽  
Transportation Applications ◽  
Selection Of

Light sources used in signal lights for transportation applications have a variety of temporal onset characteristics, including a wide range of onset times. These characteristics, along with luminous intensity and color characteristics, can have important impacts on the ability to detect and respond to colored signal lights. Studies of the impact of these factors on responses to colored signals are reviewed, along with potential implications for the selection of light sources used in traffic and vehicle signals. The onset characteristics of recently developed light sources might offer significant potential to improve visual detection of signal lights. Nonetheless, it is important to understand the context in which a signal light is presented to determine whether such improvements in visual detection have practical significance.

Research on Data Generation Method in Cloud Manufacturing Simulation Platform

2017 ◽  
Author(s):  
Chun Zhao ◽  
Lin Zhang
Keyword(s):  
Cloud Manufacturing ◽  
Simulation Platform ◽  
Data Generation ◽  
Manufacturing Environment ◽  
Simulation Data ◽  
Simulation Accuracy ◽  
Manufacturing Simulation ◽  
The Real ◽  
Actual Environment ◽  
Resource Characteristics

Cloud manufacturing simulation platform is used to simulate the collaboration and evolution, which among the resources, services, tasks, participants in cloud manufacturing environment. As an important part of the platform of simulation, simulation data generation method can effectively support the simulation accuracy. Data in cloud manufacturing environment are not completely random, and are closely related to the actual environment and resource characteristics. The workload of traditional random generate method or artificial method is very heavy and cannot completely rebuild the simulation environment. In this paper, Using clustering method to extract characteristics from an actual environment, and then extend the characteristics to generate new simulation data. To build a similar environment to the real environment used in the simulation. The result is shown that compared with the method to generate random data. This method can generate the reference data similar environment, the simulation can reflect the real effect in the process.

Analyzing the Color Characteristics of LED Based Light Sources in Dynamic Lighting Systems

Vestnik MEI ◽  
2019 ◽  
Vol 5 ◽  
pp. 81-90
Author(s):  
Anna A. Delyan ◽  
◽  
Ruzana A. Delyan ◽  
Anna G. Savitskaya ◽  
◽  
...  
Keyword(s):  
Light Sources ◽  
Color Characteristics ◽  
Lighting Systems ◽  
Dynamic Lighting

scholarly journals Spline Function Simulation Data Generation for Walking Motion Using Foot-Mounted Inertial Sensors

Electronics ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. 18 ◽  
Author(s):  
Thanh Pham ◽  
Young Suh
Keyword(s):  
Inertial Sensors ◽  
Map Matching ◽  
Control Points ◽  
Data Generation ◽  
Noise Levels ◽  
Eighth Order ◽  
Simulation Data ◽  
B Spline ◽  
Walking Motion ◽  
Order Algebraic

This paper investigates the generation of simulation data for motion estimation using inertial sensors. The smoothing algorithm with waypoint-based map matching is proposed using foot-mounted inertial sensors to estimate position and attitude. The simulation data are generated using spline functions, where the estimated position and attitude are used as control points. The attitude is represented using B-spline quaternion and the position is represented by eighth-order algebraic splines. The simulation data can be generated using inertial sensors (accelerometer and gyroscope) without using any additional sensors. Through indoor experiments, two scenarios were examined include 2D walking path (rectangular) and 3D walking path (corridor and stairs) for simulation data generation. The proposed simulation data is used to evaluate the estimation performance with different parameters such as different noise levels and sampling periods.

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