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Experimental verification of turbidity tolerance of stereo-vision-based 3D pose estimation system
摘要： This paper presents the verification of the turbidity tolerance of a stereo-vision-based 3D pose estimation system for underwater docking applications. To the best of the authors’ knowledge, no studies have yet been conducted on 3D pose (position and orientation) estimation against turbidity for underwater vehicles. Therefore, the effect of turbidity on the 3D pose estimation performance of underwater vehicles and a method of operating under turbid conditions were studied in this work. A 3D pose estimation method using the real-time multi-step genetic algorithm (RM-GA) proposed by the authors in the previous works shows robust pose estimation performance against changing environmental conditions. This paper discusses how and why the RM-GA is well suited to effective 3D pose estimation, even when turbid conditions disturb visual servoing. The experimental results confirm the performance of the proposed 3D pose estimation system under different levels of turbidity. To demonstrate the practical usefulness of the RM-GA, docking experiments were conducted in a turbid pool and a real sea environment to verify the performance and tolerance of the proposed system under turbid conditions. The experimental results verify the robustness of the system against turbidity, presenting a possible solution to a major problem in the field of robotics.
关键词： Robustness against turbidity,Real-time multi-step genetic algorithm,Sea docking,3D pose estimation,Stereo-vision,Visual servoing
更新于2025-09-23 15:23:52
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Simultaneous Determination of Clarithromycin, Tinidazole and Omeprazole in Helicure Tablets Using Reflectance Near-Infrared Spectroscopy with the Aid of Chemometry
摘要： A near infrared spectroscopic method for the simultaneous determination of the active principles clarithromycin, tinidazole and omeprazole in a pharmaceutical preparation was developed. The three active principles are quantified using partial least-squares regression methods. The proposed method is applicable over a wide analyte concentration range (80–120%) of labeled content, so it requires careful selection of the calibration set and to ensure thorough homogenization of the product. The method was validated in accordance with the ICH standard validation guidelines for NIR spectroscopy by determining its selectivity, linearity, accuracy, precision and stability. Based on the results, it is an effective alternative to the existing choice (HPLC) for the same purpose.
关键词： Partial least squares,Clarithromycin,Helicure,Near Infrared Spectroscopy,Preprocessing,Genetic algorithm,Multivariate calibration
更新于2025-09-23 15:23:52
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An Improved Optical Parameter Optimisation Approach Using Taguchi and Genetic algorithm for High Transmission Optical Filter Design
摘要： High transmission optical filters require specific filter characteristics and set of optimisation methods since precision in output performance plays a vital role in such applications. In this paper, an improved genetic algorithm approach to optimise high transmission optical filter is described. High transmission of around 99% in the wavelength region of 525-575 nm without any dips in between is the main performance requirement desired. The optimisation parameters are layer thickness, refractive index and number of layers and design wavelength is 550 nm in visible region. The method integrates the Taguchi method and genetic algorithm. First, Taguchi method is used to reduce the number of design experiments and find the minimum possible number of optimised set of values that represents the quality performance of the system. Then, genetic algorithm is applied to search the optimal design parameters. The performance is determined in terms of transmittance. Three levels for each optimisation parameter were considered. The total number of design experiments to be performed (in worst case) using genetic algorithm only with three optimisation variables and three levels is approximately 33=27 for obtaining the best design that matches the desired performance whereas Taguchi integrated genetic method helped in finding the best matching design with 9 design experiments. The best transmission performance was obtained for 24 layers, with thickness range 10-123.75 nm and high and low refractive index of 2.1 and 1.38. This method is a very robust approach that can be used for design parameter optimisation of optical filters for high transmission applications.
关键词： Optical filters,Genetic algorithm,Taguchi,Optimisation
更新于2025-09-23 15:23:52
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The conditional mean spectra by disaggregating the eta spectral shape indicator
摘要： Conditional spectra are a recent development in this field, which utilizes the advantages of spectral shape indicators, for example, epsilon and eta. The application of an eta indicator in conditional spectra calculations depends mainly on calculating the peak ground velocity epsilon, data about which are not readily available in the current literature. This issue has been solved by linear regression between the conventional epsilon and the peak ground velocity epsilon. However, not enough attention has been paid in the literature to the disaggregation of the eta indicator. For this reason, the disaggregation of seismic hazard based on the use of an eta indicator has been investigated in this paper, based on a simplified linear seismic source. The obtained results were compared with the available approach in the literature, which shows that this refinement has a meaningful effect on the conditional spectra specifically in the short period range. Furthermore, eta‐based conditional spectra are used at different hazard levels to select ground‐motion records. A three‐storeyed building is then analysed, and the corresponding annual probability of failure is calculated based on the full dataset as well as on the records, which were selected based on conditional spectra.
关键词： genetic algorithm,eta,seismic hazard analysis,ground‐motion prediction equation (GMPE),epsilon
更新于2025-09-23 15:23:52
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Smart Energy Optimization Using Heuristic Algorithm in Smart Grid with Integration of Solar Energy Sources
摘要： Smart grid (SG) vision has come to incorporate various communication technologies, which facilitate residential users to adopt different scheduling schemes in order to manage energy usage with reduced carbon emission. In this work, we have proposed a residential load management mechanism with the incorporation of energy resources (RESs) i.e., solar energy. For this purpose, a real-time electricity price (RTP), energy demand, user preferences and renewable energy parameters are taken as an inputs and genetic algorithm (GA) has been used to manage and schedule residential load with the objective of cost, user discomfort, and peak-to-average ratio (PAR) reduction. Initially, RTP is used to reduce the energy consumption cost. However, to minimize the cost along with reducing the peaks, a combined pricing model, i.e., RTP with inclining block rate (IBR) has been used which incorporates user preferences and RES to optimally schedule load demand. User comfort and cost reduction are contradictory objectives, and difficult to maximize, simultaneously. Considering this trade-off, a combined pricing scheme is modelled in such a way that users are given priority to achieve their objective as per their requirements. To validate and analyze the performance of the proposed algorithm, we first propose mathematical models of all utilized loads, and then multi-objective optimization problem has been formulated. Furthermore, analytical results regarding the objective function and the associated constraints have also been provided to validate simulation results. Simulation results demonstrate a significant reduction in the energy cost along with the achievement of both grid stability in terms of reduced peak and high comfort.
关键词： inclining block rate,real-time pricing,renewable energy sources,appliances scheduling,demand response,genetic algorithm,demand side management
更新于2025-09-23 15:23:52
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Parametric Study and Optimization of Linear and Nonlinear Vibration Absorbers Combined with Piezoelectric Energy Harvester
摘要： In this work, a harmonically excited generalized two degree of freedom non-linear system is used to manifest the functions of both the vibration absorber and energy harvester simultaneously. The generalized system has been reduced to a linear primary system with linear/nonlinear absorber and harvester or nonlinear primary system with linear/nonlinear absorber and harvester. Multi-harmonic balance method (MHBM) along with arc length continuation is used for generating frequency response plots for different absorber and energy harvester system parameters with constant primary system parameters and excitation amplitude. The frequency response plots show multiple branches of stable periodic solutions and jump at certain frequency ranges for systems with nonlinearity. The absorber and energy harvester parameters are optimized using an optimization procedure based on genetic algorithm in combination with response surface methodology. The method is validated with analytical solutions available in the literature for a linear primary system with linear absorber and harvester and nonlinear primary system with nonlinear absorber alone. This study demonstrates that the proposed optimization framework along with MHBM is suitable for generating the optimal frequency response for multifunctional energy harvesting systems or systems with nonlinear absorber. The frequency response plots with optimal parameter values reiterates the fact that the absorber system with nonlinear element perform better compared to its linear counterpart over a wider band of frequencies. The study also reports the comparison of the performance of a combined nonlinear absorber harvester system with that of a nonlinear energy sink (NES) absorber harvester system.
关键词： vibration absorber,multi-harmonic balancing,energy harvesting,optimization,response surface method,genetic algorithm
更新于2025-09-23 15:23:52
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[IEEE 2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT) - Chengdu, China (2018.5.7-2018.5.11)] 2018 International Conference on Microwave and Millimeter Wave Technology (ICMMT) - Grating Lobe Suppression of Planar Array with Large Inter-Element Spacing by Using Genetic Algorithm
摘要： In this paper, a method using genetic algorithm to suppress the grating lobe of a wideband planar array is presented. With the alteration of operating frequency point, the electrical size of distance between two adjacent elements will change thereupon. This approach achieves the suppression of grating lobe at high operating frequency point, whose highest sidelobe level is around -10 dB, with little influence to array’s radiation characteristic of lower frequency point. For this approach’s practicability, simple dipole antenna is adopted as the array’s element to check out whether the approach keeps validity by simulation.
关键词： Grating lobe suppression,distance optimization,sparse array,genetic algorithm
更新于2025-09-23 15:22:29
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[IEEE 2018 5th International Conference on Systems and Informatics (ICSAI) - Nanjing, China (2018.11.10-2018.11.12)] 2018 5th International Conference on Systems and Informatics (ICSAI) - An Improved Image Segmentation Method Based on Maximum Fuzzy Entropy and Quantum Genetic Algorithm
摘要： Image segmentation is a key technology in the image processing field. In the traditional image segmentation method, the selection of the threshold is the core of the image segmentation. In the fuzzy set theory, the fuzzy entropy is used to find the optimal threshold of the image segmentation. In this paper, the maximum fuzzy entropy is used to determine the optimal threshold of the image segmentation. The quantum genetic algorithm is used to find the optimal threshold of the image segmentation. The experimental results show that the image segmentation method based on maximum fuzzy entropy and quantum genetic algorithm has better segmentation effect and higher efficiency.
关键词： Quantum genetic algorithm,Fuzzy entropy,Image segmentation
更新于2025-09-23 15:22:29
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[IEEE 2018 25th IEEE International Conference on Image Processing (ICIP) - Athens, Greece (2018.10.7-2018.10.10)] 2018 25th IEEE International Conference on Image Processing (ICIP) - 3D Human Pose Estimation Using Stochastic Optimization in Real Time
摘要： Random Tree Walkers (RTW) are a well-established method for human pose estimation, because they deliver state-of-the-art performance at low computational cost. As the forests capabilities for generalization are limited, the algorithm fails to estimate unlearned poses very quickly. The proposed method pushes this limitation by combining the RTW with optimization methods such as iterative closest point (ICP) and a stochastic search. The RTW is being used to initialize various hypotheses in different ways which are then passed to the optimization stage of the proposed method. The quality of each hypothesis is assessed by a cost function measuring the discrepancy between the data and a human body model generated for each hypothesis. Experimental results show a greater number of correctly estimated poses over a single RTW result.
关键词： Random Tree Walk,Genetic Algorithm,ICP,Multihypotheses,Human Pose Estimation
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) - Kota Kinabalu, Malaysia (2018.10.7-2018.10.10)] 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) - Determination of Penetration Limit of Solar Distributed Generation (DG) Considering Multiple Bus Integration
摘要： Solar distributed generation (DG) integrated into the distribution system has contributed significant effects such as reduced power losses and improved voltage profile. The reliability and power quality of the technology may be affected at high penetration that may result to high voltage fluctuations and reverse power flow. Thus, the maximum allowable penetration level of solar DG must be determined. By using genetic algorithm as an approach, this study determines the penetration limit of solar DG in the network considering multiple bus integration. Simulations were implemented in IEEE 37-bus test system utilizing the Component Object Model (COM) interface of MATLAB and OpenDSS. Results showed that considering the penetration limit of solar DG resulted to significant improvements in power losses and voltage profile. Moreover, the maximum allowable limit of the DG installed to 18 different buses showed the highest reduction of power losses and the lowest average total voltage deviation.
关键词： power losses,OpenDSS,MATLAB,penetration limit,genetic algorithm,solar distributed generation
更新于2025-09-23 15:22:29