scholarly journals A Laser Irradiation Method for Controlling Pieris rapae Larvae

2021 ◽  
Vol 11 (20) ◽  
pp. 9533
Author(s):  
Yajun Li ◽  
Yang Xiang ◽  
Zhongxia Yang ◽  
Xiongzhe Han ◽  
Jiewen Lin ◽  
...  
Keyword(s):  
Laser Irradiation ◽  
Laser Power ◽  
Pieris Rapae ◽  
Optimal Parameter ◽  
Irradiation Position ◽  
Optimal Parameters ◽  
Controlling Effect ◽  
Validation Experiment ◽  
Dependent Variables ◽  
Chemical Pesticides

At present, chemical pesticides remain the main approach for controlling Pieris rapae (L.) (Lepidoptera: Pieridae). This research proposes a novel laser irradiation method for managing P. rapae larvae as an alternative to chemical control. The effectiveness of controlling larvae and the influencing factors of lasers were studied to estimate optimal parameter combinations. Tests using the antifeedant effect and mortality of the larvae as dependent variables showed that the laser power, irradiation area, laser opening time and irradiation position were positively correlated with the P. rapae controlling effect. The optimal parameters for each factor were the following: laser power, 7.5 W; irradiation area, 6.189 mm2; laser opening time, 1.177 s; and irradiation position, middle of the abdomen. Based on these observations, a validation experiment was performed using the optimal combination of parameters, and the results showed that the antifeedant percentage of P. rapae larvae within 24 h posttreatment was 98.49%, whereas the mortality rate was 100%. The optimal parameter combination identified in the study was suitable for P. rapae larvae from the first- to fifth-instar stages, and a more effective controlling effect was observed with the younger larvae. These results can provide a theoretical basis for future pest control using laser pest-killing robots.

scholarly journals Improved Predictive Ability of KPLS Regression with Memetic Algorithms

Mathematics ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 506
Author(s):  
Jorge Daniel Mello-Román ◽  
Adolfo Hernández ◽  
Julio César Mello-Román
Keyword(s):  
Kernel Function ◽  
Linear Method ◽  
Predictive Ability ◽  
Feature Space ◽  
Memetic Algorithms ◽  
Least Squares Regression ◽  
Optimal Parameters ◽  
Number Of Components ◽  
Kernel Partial Least Squares ◽  
Dependent Variables

Kernel partial least squares regression (KPLS) is a non-linear method for predicting one or more dependent variables from a set of predictors, which transforms the original datasets into a feature space where it is possible to generate a linear model and extract orthogonal factors also called components. A difficulty in implementing KPLS regression is determining the number of components and the kernel function parameters that maximize its performance. In this work, a method is proposed to improve the predictive ability of the KPLS regression by means of memetic algorithms. A metaheuristic tuning procedure is carried out to select the number of components and the kernel function parameters that maximize the cumulative predictive squared correlation coefficient, an overall indicator of the predictive ability of KPLS. The proposed methodology led to estimate optimal parameters of the KPLS regression for the improvement of its predictive ability.

A Novel Nanogap Fabrication Technique Using Taguchi Method and Modified Particle Swarm Optimization

2012 ◽  
Vol 236-237 ◽  
pp. 118-122
Author(s):  
Te Sheng Li ◽  
Ling Hui Chen
Keyword(s):  
Particle Swarm Optimization ◽  
Taguchi Method ◽  
Optimal Parameter ◽  
Metal Layer ◽  
Particle Swarm ◽  
Optimal Parameters ◽  
Fabrication Technique ◽  
Swarm Optimization ◽  
Modified Particle Swarm Optimization ◽  
Metal Type

In this study, a novel nanogap fabrication technique is proposed. The technique is based on electron-beam lithography combined with rapid thermal annealing (RTA) to reduce the self-aligned nanogap on metal layer. The procedure running through systematic experimental design via Taguchi method and considering the critical factors such as metal type, Si thickness, RTA temperature, RTA time and initial nanogap dimension affecting the final nanogap dimensions was optimized. The experiments were conducted using Taguchi method and modified particle swarm optimization for setting the optimal parameters. The experimental results show that the most important factors in nanogap reduction were the metal type and the initial nanogap. The optimal parameter settings were metal type Pt on 50 nm Si/SiO2, 400°C, 60s and 43nm for initial gap. Experiment results found that the metal type Pt provided larger shrink ratio than that of Ni and nanogap down to 30 nm. It is also noted that the proposed approach was reproducible due to the confirmation experiments SNRs within the 95% confidence interval.

Influence of Curvature Radius of 40Cr on Mechanical Properties of Laser Cladding Layer

2018 ◽  
Author(s):  
Mingsan Xu ◽  
Kerstern Malama ◽  
Bingbing Li
Keyword(s):  
Mechanical Properties ◽  
Laser Cladding ◽  
Laser Power ◽  
Gas Flow ◽  
High Speed Steel ◽  
Scanning Speed ◽  
Structure Design ◽  
Curvature Radius ◽  
Metal Powders ◽  
Optimal Parameters

Laser cladding utilizes a high-powered laser to fuse and solidify the metal powders, which results in a complex change of physical and mechanical properties. Selection of parameters and creative structure design are critical for laser cladding technology. High-speed steel is cladded on the base metal 40Cr by diode laser to investigate the influence of curvature radius, scanning speed, gas flow and laser power. The micro hardness and residue stress are tested while the microstructure is analyzed. According to analysis of the process parameters in orthogonal experiment, the optimal parameters are: curvature radius 100 mm, laser power 1200W, gas flow 1000 L/h, and scanning speed 16 mm/s. Under the optimal parameters, the microstructure and grid is uniform and the grain growth is along the same direction.

scholarly journals Optimal Operation Parameter Estimation of Energy Storage for Frequency Regulation

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1782 ◽  
Author(s):  
Sung-Min Cho ◽  
Jin-Su Kim ◽  
Jae-Chul Kim
Keyword(s):  
Energy Storage ◽  
Objective Function ◽  
Electricity Market ◽  
Optimal Parameter ◽  
Storage System ◽  
Optimal Operation ◽  
Electric Power System ◽  
Frequency Regulation ◽  
Optimal Parameters ◽  
Calculation Algorithm

This study proposes a method for optimally selecting the operating parameters of an energy storage system (ESS) for frequency regulation (FR) in an electric power system. First, the method allows the optimal objective function of the selected parameters to be set in a flexible manner according to the electric market environment. The objective functions are defined so that they could be used under a variety of electricity market conditions. Second, evaluation frequencies are created in order to simulate the overall lifespan of the FR-ESS. Third, calendar and cycle degradation models are applied to the battery degradation, and are incorporated into evaluations of the degradation progress during the entire FR-ESS lifespan to obtain more accurate results. A calendar life limit is set, and the limit is also considered in the objective function evaluations. Fourth, an optimal parameter calculation algorithm, which uses the branch-and-bound method, is proposed to calculate the optimal parameters. A case study analyzes the convergence of the proposed algorithm and the results of the algorithm under various conditions. The results confirmed that the proposed algorithm yields optimal parameters that are appropriate according to the objective function and lifespan conditions. We anticipate that the proposed FR-ESS algorithm will be beneficial in establishing optimal operating strategies.

scholarly journals Parameter Optimisation of Power Regeneration on the Hydraulic Electric Regenerative Shock Absorber System

2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Peng Zheng ◽  
Ruichen Wang ◽  
Jingwei Gao ◽  
Xiang Zhang
Keyword(s):  
Shock Absorber ◽  
Optimal Parameter ◽  
Average Power ◽  
Structure Design ◽  
Performance Parameters ◽  
Optimal Parameters ◽  
Specific System ◽  
Proposed Model ◽  
Regenerative Shock Absorber ◽  
Prototype Design

With the increasingly prominent energy issues, regenerative shock absorber has attracted intensive attention in last two decades for the development of structure design. However, the researchers sometimes concentrate on conceptual designs without considering optimal parameter refinements. This paper proposes a regenerative shock absorber called the “hydraulic electric regenerative shock absorber (HERSA)” which includes an analytical regeneration performance parameters optimisation approach to promote the regeneration efficiency and regenerated power. The developed HERSA model is able to convert oscillatory motion into unidirectional rotary motion through the alteration of hydraulic flow while recovering power by a generator. The proposed model is also capable of obtaining the optimal parameters at certain condition, as well as providing the flexibility of different component combinations to match specific system need. The results demonstrate that the proposed model can effectively decide the optimal parameters in the system, and also the recoverable power can achieve average power of 331 W at 1 Hz-25 mm sinusoidal excitation in the system, which is approximately 65% efficiency. This study can be further used to guide prototype design in future study.

Control effects and economic evaluation of pumpkin leaf extract on caterpillars of the small cabbage butterfly

2008 ◽  
Vol 146 (5) ◽  
pp. 583-589 ◽  
Author(s):  
R. XU ◽  
S. YANG ◽  
D. WU ◽  
R.-P. KUANFG
Keyword(s):  
Pest Management ◽  
Leaf Extract ◽  
Field Experiments ◽  
Pieris Rapae ◽  
Feeding Activity ◽  
Economic Benefits ◽  
Control Effect ◽  
Cabbage Butterfly ◽  
Feeding Control ◽  
Chemical Pesticides

SUMMARYThe control effect of Cucurbita ficifolia (pumpkin) leaf acetone extract on caterpillars of the small cabbage butterfly Pieris rapae Linnaeus (Lepidoptera: Pieridae) was observed in laboratory and field experiments from 1 March 2006 to 30 May 2007. The mechanism of the action by which pumpkin leaf extract (PLE) controls small cabbage caterpillars was examined for feeding restraint, and the values for 0·50 feeding restraint concentration (FC50) and 0·95 feeding restraint concentration (FC95) after 12 and 24 h were estimated. The results showed that the absolute anti-feeding activity for fourth instar caterpillars after 12 h was 0·65 and after 24 h was 0·56, while relative anti-feeding activity was 0·57 after 12 h and 0·59 after 24 h. Field experimental results indicated that the leaf protection effects increased up to day 7, while the feeding control effects remained constant. Comparison of the profits from pest management using indigenous pesticides, biological pesticides and chemical pesticides and without pest management suggested that there are currently economic benefits associated with the use of indigenous pesticides, such as PLE.

Maximum Output Operation by Equivalently Field Weakening and Optimal Parameters of BLDC Motor

2012 ◽  
Vol 566 ◽  
pp. 170-181
Author(s):  
Komatsu Yasuhiro ◽  
Syed Abdul Kadir Zawawi ◽  
Yoshihiko Araki
Keyword(s):  
Direct Current ◽  
Optimal Parameter ◽  
Parameter Determination ◽  
Maximum Output ◽  
Optimal Parameters ◽  
Motor Torque ◽  
Field Weakening ◽  
Salient Pole ◽  
Torque Generation ◽  
Source Voltage

Permanent-magnet brushless direct-current motors are easy to maintain, compared with direct-current motors. Therefore, they are attracting attention. In this paper, the authors discuss a non-salient pole brushless direct-current motors. Usually, the quadrature armature current which contributes to torque generation is supplied in this motor. But, in this case that the source voltage cannot be increased by supplying the direct armature current, that is, equivalently field weakening, a quadrature armature current can be increased. Consequently, the motor torque increases. In the case that the load characteristics are settled, the motor torque can have a maximum Tm by adjusting a direct armature current. At this time the rotational speed and output are maximum also. Tm changes with the change of the motor parameters. Consequently, the motor parameters which maximize Tm are optimal. In this paper, the authors have clarified an optimal parameter determination method considering by the load torque-speed characteristics and, armature resistance by the power factor, and efficiency where the motor has optimal parameters and generates the maximum output. Furthermore, the theory obtained has been confirmed experimentally by the authors.

Parameter Optimization for Linear Quadratic Differential Games

1977 ◽  
Vol 99 (1) ◽  
pp. 58-62
Author(s):  
C. T. Leondes ◽  
T. K. Siu
Keyword(s):  
Differential Games ◽  
Parameter Optimization ◽  
Quadratic Differential ◽  
Necessary Conditions ◽  
Optimal Parameter ◽  
Small Region ◽  
Optimal Parameters ◽  
Numerical Techniques ◽  
Linear Quadratic ◽  
Linear Quadratic Differential Games

How should the minimizing player choose the values of certain parameters, if he wants to further optimize his payoff at the maximizing player’s expense? Hence what would be the greatest lower bound for the maximizing player’s payoff? To answer these questions, necessary conditions for parameter optimization for linear quadratic differential games will be derived. Iterative numerical techniques for determining optimal parameters will be developed. Search techniques which will locate a “small” region of uncertainty in which the optimal parameter must lie will also be discussed.

Effects of the Processing Parameters on Porosity of Selective Laser Sintered Aliphatic Polycarbonate

2014 ◽  
Vol 915-916 ◽  
pp. 1000-1004 ◽  
Author(s):  
Xiao Hui Song ◽  
Yu Sheng Shi ◽  
Ping Hui Song ◽  
Qing Song Wei ◽  
Wei Li
Keyword(s):  
Mechanical Properties ◽  
Biomedical Engineering ◽  
Laser Power ◽  
Orthogonal Experiment ◽  
Selective Laser Sintering ◽  
Processing Parameters ◽  
Laser Sintering ◽  
Optimal Parameters ◽  
Micro Structure ◽  
Aliphatic Polycarbonate

Selective Laser Sintering (SLS) has been successfully and broadly applied in biomedical engineering to fabricated biomedical part. And the porosity and microstructure of part can be controlled by main sintered parameters. This research focused aliphatic Polycarbonate (PC) sintered with SLS. According to the orthogonal experiment, the effect of laser power energy and interaction between main sintered parameters on porosity has been studied. Then the micro structure and mechanical properties of specimens sintered with the best optimal parameters have been analyzed.

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