scholarly journals A DT-RSDM Model

2021 ◽  
Vol 2085 (1) ◽  
pp. 012022
Author(s):  
Linxi Li
Keyword(s):  
Optimization Design ◽  
Rapid Development ◽  
Dynamic Interaction ◽  
Structure Design ◽  
Cyber Physical System ◽  
Iterative Design ◽  
Digital Twin ◽  
Radar Applications ◽  
Effectiveness And Efficiency ◽  
Design Effectiveness

Abstract With rapid development of Digital Twin (DT), it seems that DT is vital to realize Cyber-Physical System (CPS) with the aid of dynamic interaction between digital twin and physical counterpart. In radar applications, digital twin can solve inherent shortfalls in radar structure design including ideal design description, poor dynamic interaction and limited implementation extension. Thus, a new DT-driven 5S Radar Structure Design Model (DT-RSDM) is proposed in this paper, focusing on improving radar structure design effectiveness and efficiency by employing iterative design optimization, design knowledge management.

scholarly journals Evaluation of the effectiveness and efficiency of state-of-the-art features and models for automatic speech recognition error detection

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Asmaa El Hannani ◽  
Rahhal Errattahi ◽  
Fatima Zahra Salmam ◽  
Thomas Hain ◽  
Hassan Ouahmane
Keyword(s):  
Speech Recognition ◽  
Automatic Speech Recognition ◽  
Error Detection ◽  
State Of The Art ◽  
Rapid Development ◽  
Unified Framework ◽  
Human Machine Interaction ◽  
Detection Analysis ◽  
Extensive Evaluation ◽  
Effectiveness And Efficiency

AbstractSpeech based human-machine interaction and natural language understanding applications have seen a rapid development and wide adoption over the last few decades. This has led to a proliferation of studies that investigate Error detection and classification in Automatic Speech Recognition (ASR) systems. However, different data sets and evaluation protocols are used, making direct comparisons of the proposed approaches (e.g. features and models) difficult. In this paper we perform an extensive evaluation of the effectiveness and efficiency of state-of-the-art approaches in a unified framework for both errors detection and errors type classification. We make three primary contributions throughout this paper: (1) we have compared our Variant Recurrent Neural Network (V-RNN) model with three other state-of-the-art neural based models, and have shown that the V-RNN model is the most effective classifier for ASR error detection in term of accuracy and speed, (2) we have compared four features’ settings, corresponding to different categories of predictor features and have shown that the generic features are particularly suitable for real-time ASR error detection applications, and (3) we have looked at the post generalization ability of our error detection framework and performed a detailed post detection analysis in order to perceive the recognition errors that are difficult to detect.

Energy-Saving Optimization Design Frame System Using Energy Footprint Graphical Model

2016 ◽  
Vol 693 ◽  
pp. 1971-1974
Author(s):  
Ying Tian ◽  
Lei Zhang ◽  
Tai Yong Wang ◽  
Song Ling Tian ◽  
Peng Lin Li
Keyword(s):  
Optimization Design ◽  
Graphical Model ◽  
Structure Design ◽  
Product Families ◽  
Component Structure ◽  
Flow Maps ◽  
Analysis Methodology ◽  
Industrial Distribution ◽  
Energy Footprint ◽  
Frame System

Product’s performance should be sustainable the environment, which is accepted and be accomplished by more and more companies and people. While some of these methods used well in some special fields may damage the environment in the other period of product related lifecycle phrase. This paper propose an integrated solving environmental analysis methodology based on the unified energy footprint graphic model, which can systematic describe all the produce activities impacted with the external environment by tracing the energy footprint in the uniformed energy flow maps. This frame system can also be divided into three ranks, which can be used clearly to deal with the energy-related environmental problem from the product component structure design to the manufactory processes optimization even to the product families’ research and industrial distribution as a whole.

scholarly journals Lightweight Design of Front Suspension Upright of Electric Formula Car Based on Topology Optimization Method

2020 ◽  
Vol 11 (1) ◽  
pp. 15 ◽  
Author(s):  
Jixiong Li ◽  
Jianliang Tan ◽  
Jianbin Dong
Keyword(s):  
Topology Optimization ◽  
Optimization Design ◽  
Lightweight Design ◽  
Geometric Model ◽  
Load Condition ◽  
Optimization Method ◽  
Structure Design ◽  
Front Suspension ◽  
Emergency Braking ◽  
Topology Optimization Method

In order to obtain a lightweight front upright of an electric formula car’s suspension, the topology optimization method is used in the front upright structure design. The mathematical model of the lightweight optimization design is constructed, and the geometric model of the initial design of the front upright is subjected to the ultimate load condition. The structural optimization of a front upright resulted in the mass reduction of the upright by 60.43%. The optimized model was simulated and verified regarding the strength, stiffness, and safety factor under three different conditions, namely turning braking, emergency braking, and sharp turning. In the experiment, the uprights were machined and assembled and integrated into the racing suspension. The experimental results showed that the optimized front uprights met the requirements of performance.

scholarly journals Multiobjective Optimization Design for Structural Parameters of TBM Disc Cutter Rings Based on FAHP and SAMPGA

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Laikuang Lin ◽  
Yimin Xia ◽  
Dun Wu
Keyword(s):  
Multiobjective Optimization ◽  
Optimization Design ◽  
Structural Parameters ◽  
Rock Breaking ◽  
Ring Structure ◽  
Structure Design ◽  
Disc Cutter ◽  
Load Bearing ◽  
Geological Conditions ◽  
Weight Coefficients

As a key component of tunnel boring machines (TBMs), the disc cutter ring and its structural parameters are closely related to the TBM tunneling quality. Literature review shows that investigations on optimization design methods for cutter ring structure are seriously insufficient. Therefore, in this paper, a multiobjective optimization design model of structural parameters for disc cutter rings is developed based on the complex geological conditions and the corresponding cutter ring structure design requirements. The rock breaking capability, energy consumption, load-bearing capability, wear life, and wear uniformity of disc cutter are selected as the objectives, and the geometric structure of cutter rings, ultimate load-bearing capability, and cutterhead drive performance are determined as constraints. According to the characteristics of this model, a self-adaptive multipopulation genetic algorithm (SAMPGA) is utilized to solve the optimization problem, and the Fuzzy analytical hierarchy process (FAHP) is employed to calculate weight coefficients for multiple objectives. Finally, the applicability of the proposed method is demonstrated through a case study in a TBM project. The results indicated that the rock breaking performance and service life of the disc cutter are improved after optimization by using the proposed method. The utilization of SAMPGA effectively solves the premature local convergence problems during optimization. The geological adaptability should be considered in the cutter ring structure design, which can be realized by using the proposed method based on the suitable weight coefficients.

Optimization Design of Agricultural Fans Based on Skewed-Swept Blade Technology

2019 ◽  
Vol 35 (2) ◽  
pp. 249-258
Author(s):  
Tao Ding ◽  
Lumeng Fang ◽  
Ji-Qin Ni ◽  
Zhengxiang Shi ◽  
Baoming Li ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Energy Efficiency ◽  
Optimization Design ◽  
Control Parameter ◽  
Rapid Development ◽  
Performance Testing ◽  
Design Parameters ◽  
Leakage Flow ◽  
Blade Design ◽  
Direction Control

Abstract.With the rapid development of modern agriculture facilities, agricultural fans have been widely used due to their low pressure and large airflow characteristics. However, existing agricultural fans have large flow losses and low energy efficiencies. To increase the airflow and energy efficiency of these fans, optimization designs based on skewed and swept blades were carried out. First, a “DDZ” agricultural fan (a leaf model agricultural fan commonly used in China) was chosen as the archetype fan. Its performance curves and flow field distribution were obtained by performance testing and numerical simulation. Second, the stack lines of the skewed blade and swept blade were designed based on the original blade, 3 skewed blade parameters (skewed angle a, x direction control parameter kx, and y direction control parameter ky), and 3 swept blade design parameters (swept angle ß, z direction control parameter kz, and r direction control parameter kr). Finally, the optimal skewed blade design parameters (a = 16.8°, kx = 1.65, and ky = 0.5) and optimal swept blade design parameters (ß = 10.6°, kz = -0.33, and kr =0.6) were obtained using numerical simulations and orthogonal testing, which is a response surface method. The numerical simulation results showed that the airflow and energy efficiency ratios of the optimal skewed blade fan were increased by 4.3% and 20.5%, and those of the optimal swept blade fan were increased by 4.5% and 15.4%, respectively, in comparison with those of the original fan. The flow fields showed that the optimal skewed blade mainly reduced the radial flow at the blade root and the leakage flow. The optimal swept blade mainly reduced the leakage flow by changing the distribution of the static pressure on the blade surfaces. Keywords: Agricultural fan, Skewed-Swept blade, Numerical simulation, Optimization.

The Research and Application on Optimization Design of Lifting Mechanism - The Hydraulic Cylinder Structure Design

2014 ◽  
Vol 945-949 ◽  
pp. 503-508
Author(s):  
Li Xie ◽  
Qi Sun
Keyword(s):  
Optimization Design ◽  
Lower Cost ◽  
Hydraulic Cylinder ◽  
Structure Design ◽  
Optimal Parameters ◽  
Modern Computer ◽  
Optimal Value ◽  
Design Cycle ◽  
General Mechanic ◽  
Modern Computer Technology

As general mechanic designing methods take long design cycle and consume many resources, though it could find a good design, it could not get the optimal one.Optimization design is the fruit of the combination of optimization mathematical method and modern computer technology, which enables to get the optimal parameters under various constrains, so that the optimal value could be achieved. Optimization design is a method to ensure better usability, lower cost and reducing weight and volume when normally use it. This method can also shorten the design cycle and enhance the design efficiency.

The Structure Optimization of Aluminum Alloy Automotive Wheels

2013 ◽  
Vol 753-755 ◽  
pp. 1175-1179
Author(s):  
Bao An Yang ◽  
Xu Hui Li ◽  
Fei Yang ◽  
Zi Ru Niu ◽  
Zhi Hong Wang
Keyword(s):  
Aluminum Alloy ◽  
Fatigue Test ◽  
Optimization Design ◽  
Structure Optimization ◽  
Scientific Basis ◽  
Structure Design ◽  
Bending Fatigue ◽  
Structure Characteristics ◽  
Bending Fatigue Test

The aluminum alloy automotive wheels are widely used and their quality safety is vital. So their structure design should be optimized. Based on the wheel bending fatigue test and the analysis of aluminum alloy automotive wheel's structure characteristics, the wheel's load was discussed and the analysis of the wheel was done by using Solidworks and ANSYS. The analysis result provides scientific basis for the optimization design of the aluminum alloy automotive wheels.

Optimization Design for Petrochemical Data Operation Cost Management System

2013 ◽  
Vol 380-384 ◽  
pp. 4658-4662
Author(s):  
Hua Qing Shao ◽  
Wang Bin ◽  
Yu Hui Liu
Keyword(s):  
Management System ◽  
Optimization Design ◽  
Cost Management ◽  
Design Method ◽  
Rapid Development ◽  
Cost Management System ◽  
The Cost ◽  
Constrained Conditions ◽  
Operation Cost ◽  
Optimal Calculation

With the rapid development of petrochemical industry, it becomes an inevitable trend that petrochemical data operation cost should be controlled effectively. How to strengthen petrochemical data operation cost management has become one of the hot topics in petrochemical system. This paper presents a design method of petrochemical data cost management system based on multi-objective constraint calculation. The optimal cost control is guaranteed by using genetic algorithm for the optimal calculation solution on the constrained conditions of petrochemical data in order to achieve petrochemical data cost management task. The results of computer simulation with VC6.0 show that the system finished the cost management better and had good robustness.

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