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- 摘要
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- 实验方案
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[Lecture Notes in Computational Vision and Biomechanics] Computer Aided Intervention and Diagnostics in Clinical and Medical Images Volume 31 || A Review on Haze Removal Techniques
摘要： Images captured in outer environment suffer from reduced scene visibility, reduced color contrast, and increased color fading. This may happen due to the presence of haze, fog, smoke, dust and noise present in the outer atmosphere. Haze is formed due to two basic processes, attenuation and air light. Attenuation diminishes the contrast of the image and air light makes the image to be whiter and hence the image captured is unclear. Haze removal or image dehazing is required in real-world weather conditions to obtain a fast and high-quality hazy free image which is used in various ?elds like satellite systems and aircraft systems. The intention of this review paper is to give a brief analysis on different haze removal techniques.
关键词： Haze removal,Image enhancement,Dark channel prior,Genetic algorithm,Filtering
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE 15th International Conference on Group IV Photonics (GFP) - Cancun (2018.8.29-2018.8.31)] 2018 IEEE 15th International Conference on Group IV Photonics (GFP) - Optimization of a Polarization Beam Splitter for Broadband Operation using a Genetic Algorithm
摘要： We present a design method for a polarization beam splitter for broadband operation based on a genetic algorithm (GA). The devices are segmented into short sections, where the geometric parameters for each device are determined using a GA.
关键词： genetic algorithm,silicon photonics,directional coupler,broadband,optimization,beam splitter
更新于2025-09-23 15:22:29
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Metaheuristic <i>Ab Initio</i> Optimum Search for Doping Effects in Nanocarbons
摘要： We have developed a combined approach of metaheuristic optimization algorithms (MOA), such as the genetic algorithm, with an ab-initio materials simulation engine. Concurrent run of the ab-initio calculations with each different parameter set selected by the MOA searches the optimum condition within a given input-parameter space. Using this methodology, the optimum dopant and its position/structure at a graphene edge are found to be a multiple N-atoms doping at graphitic sites, which predicts to lead to better charging/discharging performance when it is used as an anode material of Li-ion battery.
关键词： genetic algorithm,lithium-ion battery,nano-carbon,ab-initio simulation,doping effect
更新于2025-09-23 15:22:29
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Inverse Problem in the Theory of Surface Traveling Waves in Layered Media
摘要： The regularization method, in addition to efficiently resolving the issue with ill-posed problems in various applications, also substantially suppresses noise and error propagation. To achieve these goals, the article proposes a new “genetic algorithm” (GA) method, linked with Tikhonov’s regularization method (GA-TRM). The regular operator is introduced in the GA fitness functions to study the inverse problem of surface-wave dispersion. Experimental results have shown that, compared with the classical algorithm, the new algorithm improves inversion accuracy, reduces errors, and lowers inversion instability.
关键词： regularization method,inverse problems,surface waves,dispersion curve,genetic algorithm
更新于2025-09-23 15:21:21
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AIP Conference Proceedings [Author(s) PROCEEDING OF THE 3RD INTERNATIONAL CONFERENCE OF GLOBAL NETWORK FOR INNOVATIVE TECHNOLOGY 2016 (3RD IGNITE-2016): Advanced Materials for Innovative Technologies - Penang, Malaysia (27–29 January 2016)] - Design of dual-band reflectarray using genetic algorithm
摘要： This paper proposes novel design method of dual-band reflectarray using genetic algorithm (GA). Ordinary, each elements of reflectarray are designed to have desired reflection phase. However, when we adopt same polarization in dual frequencies, the element configuration designed to satisfy desired reflection phase in one frequency influences the characteristics in other frequency. Therefore, it is difficult to achieve dual-band reflectarray. To address the issues, we adopt two layer patches for element to increase flexibility of design and optimize the patches configuration using GA. As a result, we achieve novel reflectarray that reflect wave towards the direction of theta equal to 27 deg. and phi equal to 0 deg. in dual frequency simultaneously when incidence wave is coming from the direction of theta equal to 0 deg. and phi equal to 0 deg. in dual frequency.
关键词： Dual frequency,Multi-band,5G,Genetic algorithm,Reflectarray,M2M
更新于2025-09-23 15:21:21
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[IEEE 2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM) - Tehran, Iran (2017.10.25-2017.10.27)] 2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM) - Robustness Enhancement of optical flow sensors accuracy to surface texture variations using point tracking algorithm
摘要： Novel architecture of high precision localization using optical flow sensor (OFS) combined with Iterative Point Tracking Algorithm (IPTA) is proposed. This work focuses on attenuation of OFS' sensitivity dependency on texture of surface over which sensor is moving. The aim for the design of experimental setup is to verify how much a robustness of OFS’s sensitivity on various surfaces improves. In this regard, four different surfaces' texture including iron, paper, textile and granite stone is opted. Experimental results indicate that sensor's resolution via IPTA on surfaces of iron, paper, textile and granite stone respectively equal to 382, 460, 528 and 448 CPI. Optimal value of the algorithm parameters is calculated via Genetic Algorithm (GA). We show that IPTA is one of the effective algorithms that can enhance the robustness of OFS' resolution to surface's texture variations.
关键词： Optical flow sensor,point tracking algorithm,Surface Texture,high accuracy planar localization,Genetic algorithm
更新于2025-09-23 15:21:01
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Graphene disks for frequency control of terahertz waves in broadband applications
摘要： The terahertz (THz) gap lying between the microwave and optical parts of the electromagnetic spectrum has attracted immense attention due to its applications between radiofrequency (RF)/microwave and photonic systems. A structure consisting of a graphene sheet sandwiched between two graphene disks is introduced herein to control the reflection, absorption, and transmission of THz waves. The proposed metamaterial structures are designed analytically using transmission line theory. Also, the dimensions of the structure and the electrical gating of the graphene are optimized utilizing a genetic algorithm. The structure is simulated using two different methods: (1) a circuit model based on transmission line theory and (2) commercial full-wave software based on the finite element method, which are verified by the agreement between their results. Finally, the proposed method is used to design a THz filter and THz wave absorber, which are in great demand for application in modulators, sensors, detectors, and imaging systems.
关键词： Resonator,Circuit method,Coupling effect,Graphene,Genetic algorithm,Absorber design,Impedance matching
更新于2025-09-23 15:21:01
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[IEEE 2019 7th International Renewable and Sustainable Energy Conference (IRSEC) - Agadir, Morocco (2019.11.27-2019.11.30)] 2019 7th International Renewable and Sustainable Energy Conference (IRSEC) - A Genetic Algorithm based Improve P&O-PI MPPT Controller for Stationary and Tracking Grid-Connected Photovoltaic System
摘要： this paper deals the performance comparison and efficiencies of single-axis and dual-axis tracking PV system to an identical fixed-mount PV system for two typical clear sunny days (Ghardaia area), two typical days are chosen, the first day in winter and the second day in the summer. For the three types of PV systems, P&O-PI MPPT techniques optimized with a genetic algorithm is proposed. This paper has two different objectives. 1stly, a proposed MPPT technique has been presented to optimize P&O-PI controller via the GA technique to increase the tracking response of MPP with high efficiency and that improves the limitations of the traditional MPPT techniques. 2ndly, a performance comparison of efficiencies of single-axis and dual-axis tracking system and an identical fixed inclination system .Simulation results with MATLAB/SIMULINK are presented and discussed to verify the satisfactory performance of the proposed MPPT control, in which the optimized P&O-PI controller by GA algorithms gives the better performance. The simulation results also have shown that both single-axis and dual-axis are highly efficient in terms of the electrical energy output when compared to the fixed mount system. The results show the effectiveness of the tracking system of about 25% in energy efficiency.
关键词： grid,photovoltaic system,dual‐axis tracking,P&O-PI,fixed array,boost converter,Genetic algorithm,single axis tracking,MPPT control
更新于2025-09-23 15:21:01
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Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems
摘要： Background: Charcoal rot is a fungal disease that thrives in warm dry conditions and affects the yield of soybeans and other important agronomic crops worldwide. There is a need for robust, automatic and consistent early detection and quantification of disease symptoms which are important in breeding programs for the development of improved cultivars and in crop production for the implementation of disease control measures for yield protection. Current methods of plant disease phenotyping are predominantly visual and hence are slow and prone to human error and variation. There has been increasing interest in hyperspectral imaging applications for early detection of disease symptoms. However, the high dimensionality of hyperspectral data makes it very important to have an efficient analysis pipeline in place for the identification of disease so that effective crop management decisions can be made. The focus of this work is to determine the minimal number of most effective hyperspectral wavebands that can distinguish between healthy and diseased soybean stem specimens early on in the growing season for proper management of the disease. 111 hyperspectral data cubes representing healthy and infected stems were captured at 3, 6, 9, 12, and 15 days after inoculation. We utilized inoculated and control specimens from 4 different genotypes. Each hyperspectral image was captured at 240 different wavelengths in the range of 383–1032 nm. We formulated the identification of best waveband combination from 240 wavebands as an optimization problem. We used a combination of genetic algorithm as an optimizer and support vector machines as a classifier for the identification of maximally-effective waveband combination. Results: A binary classification between healthy and infected soybean stem samples using the selected six waveband combination (475.56, 548.91, 652.14, 516.31, 720.05, 915.64 nm) obtained a classification accuracy of 97% for the infected class. Furthermore, we achieved a classification accuracy of 90.91% for test samples from 3 days after inoculation using the selected six waveband combination. Conclusions: The results demonstrated that these carefully-chosen wavebands are more informative than RGB images alone and enable early identification of charcoal rot infection in soybean. The selected wavebands could be used in a multispectral camera for remote identification of charcoal rot infection in soybean.
关键词： Band selection,Soybean disease,Precision agriculture,Hyperspectral,Support vector machines,Genetic algorithm,Charcoal rot
更新于2025-09-23 15:21:01
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Optimal Pulse-Shaping in Actively Q-Switched Ytterbium-Doped Fiber Lasers
摘要： In an actively Q-switched ?ber laser (AQS-FL) a type of acousto-optic modulator (AOM) or (potentially) electro-optic modulator (EOM) controls the generation of output nanosecond wide pulses. An integrated Gaussian pulse shape is desirable in many applications such as material processing, microfab- rication, ultrasound generation, gold photothermal therapy, etc. However, because of the system dynamics, generation of perfect Gaussian pulse shapes is not guaranteed in an AQS-FL, additionally designing the AQS-FL for a desired pulse peak and duration is an inverse problem which needs cumbersome trial- error efforts. We have developed a framework consisting of a rigorous FDM method plus a dedicated and innovative multi-objective genetic algorithm (GA) which assists the designer in achieving the desired Gaussian pulses within a reasonable time frame. The developed GA evolves the timing parameters of modulator plus the pump power and ?ber length until the suitable goal is reached. To demonstrate the ?exibility and design feasibility of our GA, three different single pulse and pulse train generation scenarios on a 7.5 m long Ytterbium-doped double clad ?ber (YD-DCF) are examined to achieve the Gaussian,150 Wand 200 W peak power, 250 ns and 300 ns width pulses. To the best of our knowledge, it is the ?rst implementation of an intelligent algorithm for optimizing the output pulse of an AQS-FL. It is worth noting that depending on the ?ber host material and modulator speci?cations, much higher peak powers and different pulse durations are feasible, furthermore in case of utilizing the AOM, the pertaining limitations and feasibility are considered.
关键词： Fiber laser,genetic algorithm (GA),optimization,Q-switching
更新于2025-09-23 15:21:01