- 标题
- 摘要
- 关键词
- 实验方案
- 产品
过滤筛选
- 2019
- low-temperature electronics
- class AB operation
- optimization of analog electronic circuit
- operational amplifier
- LTspice environment
- buffer amplifier
- junction field-effect transistors
- Electronic Science and Technology
- Don State Technical University
-
[IEEE 2018 Eleventh International Conference "Management of large-scale system development" (MLSD 2018) - Moscow (2018.10.1-2018.10.3)] 2018 Eleventh International Conference "Management of large-scale system development" (MLSD - Optimization of the Structure and Parameters of the Light Cycle Aimed at Improving Traffic Safety at an Intersection
摘要： Formulas for evaluating structural safety for an arbitrary scheme of the road network segment are proposed. On their basis the problem of structural optimization of the traffic light cycle aimed at improving traffic safety is set. The similar optimization problem with respect to traffic intensity is set as well. Approaches to their solution are offered.
关键词： scheme of phase separation,microscopic models of traffic flows,optimization,safety of the road network segment,controlled intersection,computational experiments
更新于2025-09-23 15:22:29
-
[SEMA SIMAI Springer Series] Recent Advances in Differential Equations and Applications Volume 18 || Optimal Design of Piezoelectric Microactuators: Linear vs Non-linear Modeling
摘要： The main point of this work is the comparison between linear and geometrically non-linear elasticity modeling in the field of piezoelectric actuators fabricated at the micro-scale. Manufacturing limitations such as non-symmetrical lamination of the structure or minimum length scale are taken into account during the optimization process. The robust approach implemented in the problem also reduces the sensitivity of the designs to small manufacturing errors.
关键词： Large displacements,Electrode profile,Piezoelectric actuators,Heterogeneous bimorph,Topology optimization
更新于2025-09-23 15:22:29
-
Immobilization of Fe3O4/TiO2 nanocomposite thin layer on the glass tubes in a component parabolic collector for the treatment of DR23
摘要： Photocatalysis driven by the natural solar light has been proved to be a favorable approach for the degradation of hazardous organic pollutants in water and wastewater. The present work addressed the removal of Direct Red 23 by the solar/Fe3O4/TiO2/S2O8^2- process. The application of the component parabolic collector, which served as a solar light concentrator, could improve the photocatalytic removal efficiency in the presence of immobilized Fe3O4/TiO2 nanoparticles. In this paper, the synthesis of Fe3O4/TiO2 photocatalyst to treat wastewater under solar radiation has been reported. Accordingly, a component parabolic collector solar photoreactor was designed and constructed for wastewater treatment processes. The prepared Fe3O4/TiO2 nanocomposite was precipitated as a thin layer on the glass tubes of the solar photoreactor. The central composite experimental design was also used in order to optimize and model the CI Direct Red 23 decolorization process; then, the influence of operational parameters such as the contaminant concentration, S2O8^2- concentration, and the reaction time was investigated. Due to the solar/Fe3O4/TiO2/S2O8^2- process, 100% of Direct Red 23 could be removed in 90 min at the concentration of 15.16 mg L?1 and S2O8^2- concentration of 0.8 mM. The predicted response for the Direct Red 23 decolorization efficiency in the optimal condition was obtained to be 98.50%, which was in a good agreement with the experimental response (100%).
关键词： Photoreactor,Degradation,Optimization,Photocatalysis
更新于2025-09-23 15:22:29
-
[IEEE 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM) - Sheffield (2018.7.8-2018.7.11)] 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM) - An Alternating Minimization Approach to Optimizing Subarray Configuration for a Large Phased Array
摘要： A large size phased array is a powerful system for surveillance, but must be appropriately decomposed as subarrays for efficient digital beamforming. One fundamental question is how to configure a large array as subarrays to satisfy various signal processing requirements. This work deals with two basic signal processing tasks, synthesizing multiple beams at subarray level and adaptively suppressing multiple interferences. Two optimization criteria to jointly design subarray configuration and digital weights for subarrays are proposed. To handle the large number of variables in the optimization formulations, we propose an alternating minimization approach with low computation cost. Numerical simulations are presented to demonstrate the effectiveness of the proposed algorithm.
关键词： beamforming,Phased array,alternating optimization,subarray
更新于2025-09-23 15:22:29
-
[IEEE 2018 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD) - Austin, TX, USA (2018.9.24-2018.9.26)] 2018 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD) - The efficient DTCO Compact Modeling Solutions to Improve MHC and Reduce TAT
摘要： This paper introduces the recent modeling challenges of the Process Development Kit (PDK) development due to the limitations of transistor scaling and the impact of new process technologies. And a new modeling solution, Agile PDK is presented to break though these development challenges by enabling the Design Technology Co-Optimization (DTCO) activities in the manufacturing levels. A series of advanced algorithms are newly introduced to not only reduce the PDK development time (TAT), but also improve the model accuracies and Model-to-Hardware Correlation (MHC). It is applied to the latest DRAM technology and dramatically reduces development TAT up to 50% with improved model accuracies.
关键词： PDK,DTCO,Regression,SPICE Models,MHC,Full binning,TCAD TEG,API,Optimization
更新于2025-09-23 15:22:29
-
Analysis for the Weakly Pareto Optimum in Multiobjective-Based Hyperspectral Band Selection
摘要： Band selection refers to finding the most representative channels from hyperspectral images. Usually, certain objective functions are designed and combined via regularization terms. A possible drawback of these methods is that they can only generate one solution in a single run with a given band number. To overcome this problem, multiobjective (MO)-based methods, which were able to simultaneously obtain a series of subsets with different band numbers, were investigated for band selection. However, because the range of band selection problem is discrete, recently proposed weighted Tchebycheff (WT)-based MO methods may suffer weakly Pareto optimal problem. In this case, the solutions for each band number will be nonunique and no optimal solution exists. Decision makers have to manually select a unique solution for each band number. In this paper, we provide a theoretical analysis about the weakly Pareto optimal problem in band selection, and quantitatively give the boundary conditions. Moreover, we further summarize the suggestions which will help users avoid the weakly Pareto optimal problem. According to these criteria, we develop a new adaptive-penalty-based boundary intersection (APBI) framework to improve the MO algorithm in hyperspectral band selection. APBI mainly includes two advantages: 1) avoiding weakly Pareto optimum and 2) reducing the sensibility of the penalty factor. The theoretical analysis is further validated by contrast experiments. The results demonstrate that the weakly Pareto optimal solutions really exist in WT methods, while APBI can overcome this problem.
关键词： multiobjective (MO) optimization,Band selection,weakly Pareto optimum,hyperspectral imagery (HSI)
更新于2025-09-23 15:22:29
-
Hierarchical Bayesian Inverse Lighting of Portraits with a Virtual Light Stage
摘要： From a single RGB image of an unknown face, taken under unknown conditions, we estimate a physically plausible lighting model. First, the 3D geometry and texture of the face are estimated by fitting a 3D Morphable Model to the 2D input. With this estimated 3D model and a Virtual Light Stage (VLS), we generate a gallery of images of the face with all the same conditions, but different lighting. We consider non-lambertian reflectance and non-convex geometry to handle more realistic illumination effects in complex lighting conditions. Our hierarchical Bayesian approach automatically suppresses inconsistencies between the model and the input. It estimates the RGB values for the light sources of a VLS to reconstruct the input face with the estimated 3D face model. We discuss the relevance of the hierarchical approach to this minimally constrained inverse rendering problem and show how the hyperparameters can be controlled to improve the results of the algorithm for complex effects, such as cast shadows. Our algorithm is a contribution to single image face modeling and analysis, provides information about the imaging condition and facilitates realistic reconstruction of the input image, relighting, lighting transfer and lighting design.
关键词： 3D Morphable Model,Hyperparameters,Generative Model,Hierarchical Bayesian Optimization,Inverse Lighting,Virtual Light Stage,Single Face Image
更新于2025-09-23 15:22:29
-
[IEEE 2018 53rd International Universities Power Engineering Conference (UPEC) - Glasgow, United Kingdom (2018.9.4-2018.9.7)] 2018 53rd International Universities Power Engineering Conference (UPEC) - Optimal Siting of BESS in Distribution Networks under High PV Penetration
摘要： This paper focuses on the optimal siting of Battery Energy Storage Systems (BESS) in a Distribution Network with installed Photovoltaic Generation, in order to minimize the energy losses of the system. The bus voltage limit, as well as the ampacity level of the lines are taken into consideration as constraints, while the technical constraints of the BESSs have also been taken into account. Unified Particle Swarm Optimization is used as the solving optimization technique. Simulations are being carried out on IEEE-33 bus system regarding different scenarios and the results are presented and compared. A significant improvement in energy losses, voltage and line ampacity profile is achieved by the introduction of BESS units in a Distribution Network with high PV Penetration.
关键词： BESS,Particle Swarm Optimization,Distributed Generation,Battery Energy Storage Systems,PV,optimal sizing siting of ESS,PSO
更新于2025-09-23 15:22:29
-
A Slow-Wave Structure Optimization with Variable Helix Section Length in STWT Based on CI-NMCSO Algorithm
摘要： A novel slow-wave structure optimization method on Chaos-improved Normal mutation cat swarm optimization (CI-NMCSO) algorithm is proposed. Under the variable helix section length in STWT, the CI-NMCSO combined with 1D CHRISTINE code is used to calculate the best set of pitch distribution and section length with the objective function of electron beam efficiency improvement. Quantum particle swarm optimization (QPSO) and Cauchy mutated cat swarm optimization (CMCSO) algorithms are applied to make performance comparison. Experimental results show that the beam efficiency has been increased by CI-NMCSO from rated value 30% to 45.3%, and the values using CMCSO and QPSO are 41.8% and 36.5%, respectively, the convergence speed of CI-NMCSO is the fastest, only 16 iterations, while CMCSO and QPSO take 19 and 23 iterations, so the performance of CI-NMCSO is better than CMCSO and QPSO on both optimization precision and calculation speed in terms of slow-wave structure optimization, and is also superior to that with equal section length when the helix section length is variable.
关键词： space traveling-wave tube,electron beam efficiency,chaotic transformation,Slow-wave structure,normal mutation cat swarm optimization
更新于2025-09-23 15:22:29
-
Self Optimization Beam-Forming Null Control Based SINR Improvement
摘要： In this paper, a self optimization beamforming null control (SOBNC) scheme is proposed. There is a need of maintaining signal to interference plus noise ratio (SINR) threshold to control modulation and coding schemes (MCS) in recent technologies like Wi-Fi, Long Term Evolution (LTE) and Long Term Evolution Advanced (LTE-A). Selection of MCS depends on the SINR threshold that allows maintaining key performance index (KPI) like block error rate (BLER), bit error rate (BER) and throughput at certain level. The SOBNC is used to control the antenna pattern for SINR estimation and improve the SINR performance of the wireless communication systems. The nulling comes with a price; if wider nulls are introduced, i.e. more number of nulls are used, the 3 dB beam-width and peak side lobe level (SLL) in antenna pattern changes critically. This paper proposes a method which automatically controls the number of nulls in the antenna pattern as per the changing environment based on adaptive-network based fuzzy interference system (ANFIS) to maintain output SINR level higher or equal to the required threshold. Finally, simulation results show a performance superiority of the proposed SOBNC compared with minimum mean square error (MMSE) based adaptive nulling control algorithm and conventional fixed null scheme.
关键词： self optimization beamforming null control,adaptive neural fuzzy inference system (ANFIS),SINR improvement,digital beam-forming (DBF)
更新于2025-09-23 15:22:29