Chronic back pain can present a serious health concern, with symptoms that can significantly affect an individual's well-being, mobility, and overall quality of life over an extended period. While chronic back pai...
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the proceedings contain 22 papers. the topics discussed include: automatic 3D skeleton-based dynamic hand gesture recognition using multi-layer convolutional LSTM;automatic defect recognition method of aluminum profil...
ISBN:
(纸本)9781450385855
the proceedings contain 22 papers. the topics discussed include: automatic 3D skeleton-based dynamic hand gesture recognition using multi-layer convolutional LSTM;automatic defect recognition method of aluminum profile surface defects;benchmarking lane-changing decision-making for deep reinforcement learning;infrared face recognition based on yolo network and its application;an improved detection algorithm of moving targets based on envelope alignment in sea environments;design and obstacle-surmounting analysis of a novel 6 × 6 wheel-tracked unmanned ground platform;efficient mixed-integer nonlinear programming for optimal motion planning of non-holonomic autonomous vehicles;and integral reinforcement learning-based optimal control for nonzero-sum games of multi-player input-constrained nonlinear systems.
the configuration of energy storage in new energy stations can effectively alleviate power fluctuations, promote the consumption of new energy, and improve the reliability of the power grid. this paper studies the ent...
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ISBN:
(数字)9798350375794
ISBN:
(纸本)9798350375800
the configuration of energy storage in new energy stations can effectively alleviate power fluctuations, promote the consumption of new energy, and improve the reliability of the power grid. this paper studies the entire life cycle process of energy storage in new energy stations and proposes an optimization strategy for new energy stations which considers the entire life cycle of energy storage. By establishing the energy storage benefit model and cost model, analyzing the benefits brought by the comprehensive energy storage revenue, utilizing the entire life cycle process of energy storage to establish an objective function withthe maximum energy storage revenue, while considering various energy constraints during the operation of the system, the improved Grey wolf algorithm (IGWA) is used to optimize the proposed objective function and obtain the optimal solution. Some cases are illustrated to verify the effectiveness of the proposed method.
In this paper, a gradient calculation method based on the direct differential (DD) of the finite-difference time-domain (FDTD) algorithm is presented. Based on the DD FDTD, we introduce the technical process for inver...
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ISBN:
(数字)9798350384437
ISBN:
(纸本)9798350384444
In this paper, a gradient calculation method based on the direct differential (DD) of the finite-difference time-domain (FDTD) algorithm is presented. Based on the DD FDTD, we introduce the technical process for inverse design problems, including optimization parameters and objective functions. Compared withthe adjoint variable method (AVM) and the automatic differentiation (AD), this method has the lowest computational cost. Meanwhile, we can define objective functions in both frequency- and time-domain, which makes the proposed method more flexible for broadband inverse design problems. We apply the proposed inverse design approach to design a terahertz wavelength division multiplexer (WDM).
the proceedings contain 88 papers. the topics discussed include: the reflected electromagnetic wave CDP method (ECDP) testing results and possibilities for the future oil and gas exploration;the influence of molecular...
ISBN:
(纸本)9789462823709
the proceedings contain 88 papers. the topics discussed include: the reflected electromagnetic wave CDP method (ECDP) testing results and possibilities for the future oil and gas exploration;the influence of molecular weight of polyisobutylenes on tribological properties of polyurea greases;seismic facies analysis based on 3D seismic data on training field of the Republic of Tatarstan;determination state of frozen saline soils by geophysical methods;determination state of frozen saline soils by geophysical methods;bs10, BS11-1 formations of Tevlinsky-Russkinsky field model, with regard to pulsating regime with a changing of dominant sedimentary material source;forecasting hydrocarbons using transformations of potential fields on example of Yamal oil and gas region;and complex interpretation of potential fields using an example of Nepa-Botuobinskaya and Angara-Lenskaya oil and gas regions in order to identify perspective areas for hydrocarbons.
We introduce MSoln-PSO, a modified Particle Swarm Optimization algorithm aimed at overcoming limitations in finding singular optimal points. By adapting the social component to steer towards the closest leading partic...
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ISBN:
(数字)9798350361445
ISBN:
(纸本)9798350361452
We introduce MSoln-PSO, a modified Particle Swarm Optimization algorithm aimed at overcoming limitations in finding singular optimal points. By adapting the social component to steer towards the closest leading particle, it discovers multiple optimal points simultaneously, utilizing high-fitness particles as leads or past-iteration particles that fit the criteria. Applying MSoln-PSO to the zeros of the zeta function within the [0, 500] imaginary interval yields all 269 zeros, showcasing its robustness in multi-solution searches. Remarkably, all solutions have a real part of 1/2, verifying the Riemann hypothesis numerically. Furthermore, MSoln-PSO's versatility extends to finding points where the objective function meets any given conditions. Particulary,it can also efficiently identifies points where the function value falls below a defined threshold, showcasing its strong capability in various fields.
abstract-Nowadays, visualization is one of the most important things an integrated development environment or any smart code editor needs to have. there are several different options when it comes to the visualization...
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ISBN:
(数字)9798350386592
ISBN:
(纸本)9798350386608
abstract-Nowadays, visualization is one of the most important things an integrated development environment or any smart code editor needs to have. there are several different options when it comes to the visualization. It plays a crucial role in software development and has several important benefits, like understanding the code structure, debugging, or troubleshooting. Code visualization enhances developer productivity, facilitates collaboration, and contributes to the maintainability and scalability of software projects. It is an essential aspect of modern software development practices. In this paper, we focus on one of the most widely used code editors - Visual Studio Code - and on a core component that drives the Visual Studio Code called Monaco Editor, mainly on how they can visualize different sections of a code and their complexity when it comes to visualization. Source code visualization refers to representing code visually to enhance understanding, analysis, and communication of software systems.
the difficulty that the classical anomaly detection system based on BP neural network is that the convergence speed is too slow and the objective function falls into the local minimum problem. the established network ...
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ISBN:
(数字)9798350350760
ISBN:
(纸本)9798350350777
the difficulty that the classical anomaly detection system based on BP neural network is that the convergence speed is too slow and the objective function falls into the local minimum problem. the established network genetic traffic detection model has low detection efficiency and accuracy. this article improves through a hybrid encoding method, while optimizing and modifying parameters such as crossover operator, mutation operator, crossover probability, and mutation probability. Based on this, this article proposes an genetically optimized BP neural network model by analyzing the structure of traditional neural network anomaly detection models. the research results show that the proposed algorithm overcomes the problem of slow training speed in traditional neural network anomaly detection and has better detection performance than traditional algorithms.
A new optimization algorithm for assembly sequence planning was designed to address the issues of low efficiency and poor convergence in traditional optimization algorithms. this article applies an optimization algori...
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ISBN:
(数字)9798350361445
ISBN:
(纸本)9798350361452
A new optimization algorithm for assembly sequence planning was designed to address the issues of low efficiency and poor convergence in traditional optimization algorithms. this article applies an optimization algorithm based on the bald eagle optimization algorithm to the optimization of assembly sequence planning. By extracting the connection relationships and information of experimental components, a disassembly matrix was derived using disassembly methods. the interference and dependency relationships between various components of the experimental object during the disassembly process were described, and a priority relationship diagram of disassembly operation tasks was obtained. A fitness function for achieving multi-objective optimization was constructed by combining four evaluation indicators: frequency of replacing disassembly tools, frequency of replacing disassembly directions, weighted disassembly time, and recycling efficiency.
In order to meet the real-time detection and processing requirements of on-board targets in the field of remote sensing image processing, this paper carries out relevant research from the perspective of software optim...
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ISBN:
(数字)9798350363951
ISBN:
(纸本)9798350363968
In order to meet the real-time detection and processing requirements of on-board targets in the field of remote sensing image processing, this paper carries out relevant research from the perspective of software optimization and proposes an onboard adaptive image windowing processing method based on differential evolution algorithm to solve the problem of shortage of on-board hardware computing resources. Based on the adaptive differential evolution algorithm, combined withthe engineering application scenario, the algorithm innovatively designs an individual objective function to evaluate the “advantages and disadvantages“ of the algorithm evolution results. By coordinating all the target positions to be tracked in the image plane, the algorithm optimizes the number of windows, and considers the application boundary of the algorithm, which can effectively reduce the amount of data to be processed and greatly improve the timeliness of real-time detection on the board without losing the calculation accuracy.
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