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A foreground digital calibration algorithm for time-interleaved ADCs with low computational complexity

MICROELECTRONICS JOURNAL 2023年 136卷

作者： Wang, Song Cheng, Xu Guo, Zi-Yu Han, Jun Fudan Univ State Key Lab ASIC & Syst Shanghai 200433 Peoples R China

In front of the offset, gain, timing, and bandwidth mismatch errors, time-interleaved analog-to-digital convert-ers (TIADCs) are usually calibrated to achieve satisfying performance. In this paper, we propose a new digital calibration approach for TIADCs, including the direction-distance search algorithm and multiplier-free gradient descent method. Compared to state-of-the-art multiplication-less techniques, this approach significantly reduces time complexity by minimizing search space dimension, subtracting the number of searches, and varying iteration step size. Notably, no multiplier is needed in the mismatch estimation, resulting in a much lower computational complexity than in previous work. For a 12-bit 4-channel TIADC, simulation results show that the signal-to-noise-and-distortion ratio is improved from 25 dB to 65 dB within the duration of 1600 samples. The proposed calibration circuit is synthesized targeting standard 28-nm technology, occupying the area of 0.014 mm2 and dissipating the power of 19 mW at 2.8 GHz clock frequency.

关键词： Time-interleaved ADC Digital calibration optimization algorithm Gradient descent Low computational complexity

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Dynamic thermal line rating model of conductor based on prediction of meteorological parameters

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ELECTRIC POWER SYSTEMS RESEARCH 2023年第1期224卷

作者： Song, Tianhua Teh, Jiashen Univ Sains Malaysia USM Sch Elect & Elect Engn Engn Campus Nibong Tebal 14300 Penang Malaysia

This paper developed a new algorithm to predict dynamic thermal line rating to increase the capacity of transmission lines, which can enhance the capacity of wind power integrated to the grid and reduce the curtailment. The proposed dynamic thermal line rating prediction model was trained by analyzing historical meteorological data and conductor physical parameters, and used deep learning with parameters optimized by an optimized algorithm. The prediction accuracy of the model is verified by Mean Absolute Error, R2 and comparison with other models. The simulation results show that the proposed prediction model has a good performance. The suggested dynamic thermal line rating algorithm, which bears resemblance to the actual value, boosts the static thermal line rating by varying degrees of 23% to 75% at different instances throughout the sample. At the same time, this paper designs an optimal power flow economic dispatch objective function. By comparing the economic dispatch of the power grid calculated by adding static thermal line rating and the prediction models, the method proposed in this paper can effectively increase the amount of wind power inte-gration and reduce power generation costs.

关键词： Dynamic thermal line rating Forecasting algorithm optimization algorithm Deep learning Optimal economic dispatch

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Novel IAPSO-LSTM neural network for risk analysis and early warning of food safety

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EXPERT SYSTEMS WITH APPLICATIONS 2023年第1期230卷

作者： Geng, Zhiqiang Wang, Xintian Jiang, Yuangang Han, Yongming Ma, Bo Chu, Chong Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing 100029 Peoples R China Univ Int Business & Econ Beijing 100029 Peoples R China Minist Educ China Engn Res Ctr Intelligent PSE Beijing 100029 Peoples R China Beijing Univ Chem Technol Coll Mech & Elect Engn Beijing 100029 Peoples R China Harvard Univ Harvard Med Sch Dept Biomed Informat Cambridge MA USA

Ensuring food quality and safety is essential after ensuring the quantity of food. Therefore, an improved adaptive particle swarm optimization algorithm (IAPSO) for optimizing the long short-term memory (LSTM) neural network (IAPSO-LSTM) is proposed to develop a food safety risk early warning model in this paper. The proposed IAPSO algorithm is verified by comparing with the traditional PSO (TPSO), the classic PSO (CPSO), the adaptive PSO (APSO) and the deterministic and adaptive PSO (DAPSO) based on five common benchmark functions in terms of the convergence speed and precision. Results show that the IAPSO algorithm has the best convergence speed and precision. Then, the analytic hierarchy process based on the sum product is used to obtain the risk value of food safety detection data, which is used as the desired output of the LSTM. And the root mean square error of the predicted risk value and the real food risk value is used as the objective function of the IAPSO algorithm to optimize the hyperparameters of the LSTM. Finally, the food safety risk early warning model based on the IAPSO-LSTM is evaluated using the composite seasoning detection data from a food testing agency in Guizhou Province, China. The proposed model effectively identifies high-risk factors affecting the risk value, with sodium cyclamate being the primary high-risk factor. The overall performance of the IAPSO-LSTM model is superior to that of the TPSO-based LSTM, the CPSO-based LSTM, the APSO-based LSTM, the DAPSO-based LSTM and the IAPSO-BP, with the prediction error of 0.474, R2 value of 0.998 and the absolute error less than 5. Moreover, the proposed model can help the relevant government departments effectively warn the potential food safety risks to ensure the food safety.

关键词： Food safety Risk early warning Risk factor Long short-term memory Improved adaptive particle swarm optimization algorithm

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A Low-Complexity Channel Estimation in Internet of Vehicles in Intelligent Transportation Systems for 5G Communication

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JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING 2023年第1期35卷 1页

作者： Yan, Lichao Zhengzhou Univ Aeronaut Sch Intelligent Engn Zhengzhou Peoples R China

The objective of utilizing mmWave/subTHz bands in next-generation wireless communications is to be achieved. Despite this, since reconfigurable intelligent surface (RIS)-assisted systems depend on the transmission channel configuration, the system architecture design, and the methods used to derive channel state information (CSI) on a base station (BS) and RIS, channel estimation continues to be the main problem with these systems. This research proposes an innovative RIS-based and compressed sensing-based channel estimation technique for the internet of vehicles. To obtain the best phase shift matrix, the communication model must first be constructed, and the angle-of-arrival and departure are utilized. Channel estimation is then performed based on the perception matrix. The training overhead and complexity of the channel estimation are reduced by considering the position information of the vehicles in the optimal phase shift matrix. Simulation results show that the proposed algorithm exhibits better channel estimation and low complexity performance compared with existing algorithms.

关键词： 5G Networks Channel Estimation Complexity Intelligent Compressed Sensing Intelligent Reflecting Surface optimization algorithm Transportation System Vehicular Communication

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An attempt to apply the homotopy method to the domain of machine learning

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EXPERT SYSTEMS WITH APPLICATIONS 2023年第1期234卷

作者： Liu, Yang-yang Liu, Jian-wei China Univ Petr Coll Informat Sci & Engn Dept Automat Beijing Peoples R China

The most essential purpose of the machine learning field is to minimize the difference between the true value and the predicted value, so that the predicted value can be as close to the true value as possible. For this reason, researchers have proposed a loss function as a criterion for learning, which can generally be connected with optimization learning through the loss function. In the field of machine learning, our commonly used optimization method is gradient descent, because it only needs to solve the first-order derivative, and the calculation complexity is small and the accuracy is within an acceptable range. But gradient descent has a problem that cannot be ignored-divergence. To solve this problem, we propose a homotopy analysis method. The homotopy analysis method can effectively control the convergence by introducing the convergence control parameters without divergence. At the same time, our experiments also show that our algorithm can not only guarantee convergence, but also reduce the number of iterations.

关键词： Machine learning optimization algorithm Homotopy analysis method Gradient descent

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Optimized Computational Intelligence Model for Estimating the Flexural Behavior of Composite Shear Walls

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BUILDINGS 2023年第9期13卷 2358页

作者： Mirrashid, Masoomeh Naderpour, Hosein Kontoni, Denise-Penelope N. Jakubczyk-Galczynska, Anna Jankowski, Robert Nguyen, Tan N. Semnan Univ Fac Civil Engn Semnan *** Iran Univ Peloponnese Sch Engn Dept Civil Engn GR-26334 Patras Greece Hellenic Open Univ Sch Sci & Technol GR-26335 Patras Greece Gdansk Univ Technol Fac Civil & Environm Engn PL-80233 Gdansk Poland Sejong Univ Dept Architectural Engn 209 Neungdong Ro Seoul 05006 South Korea

This article presents a novel approach to estimate the flexural capacity of reinforced concrete-filled composite plate shear walls using an optimized computational intelligence model. The proposed model was developed and validated based on 47 laboratory data points and the Transit Search (TS) optimization algorithm. Using 80% of the experimental dataset, the optimized model was selected by determining the unknown coefficients of the network-based computational structure. The remaining 20% of the data was used to evaluate the accuracy of the model, and the best-performing structure was selected. Furthermore, the final neural network details were subjected to statistical analysis to extract a user-friendly formula, making it easier to apply in practice. The proposed ANN model and the proposed user-friendly formula were then compared with the AISC 341-16 and experimental results and demonstrated their efficacy in predicting the flexural behavior of composite shear walls. Overall, the proposed approach provides a more reliable and efficient framework for estimating the flexural behavior of composite shear walls.

关键词： composite shear wall reinforced concrete flexural behavior flexural capacity optimization algorithm soft computing computational intelligence

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How to achieve energy efficiency and sustainability of large ships: a new tool to optimize the operation of on-board diesel generators

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ENERGY 2023年第1期282卷

作者： Barone, Giovanni Buonomano, Annamaria Del Papa, Gianluca Maka, Robert Palombo, Adolfo Univ Naples Federico II Dept Ind Engn Ple Tecchio80 I-80125 Naples Italy Concordia Univ Dept Bldg Civil & Environm Engn 1455 Maisonneuve Blvd W Montreal PQ Canada

In this paper a novel dynamic simulation model for enhancing the sustainability of transportation systems equipped with diesel co-generators is presented. In each simulation time step of the carried out energy perfor-mance analyses, the best operation/combination of generators as well as their optimal part load ratio are determined with the aim to achieve the minimum fuel consumption. Input to the model are: size of each installed diesel generator;number of engines;required power profile;route scheduling and hourly weather data. The developed simulation model is implemented in TRNSYS environment. Here, a new in-house TRNSYS type written in Fortran is also included. With the presented approach -especially helpful for cruise ship designers, manu-facturers and owners -new design criteria and useful technical results can be *** show the capability of the tool a novel case study is presented. It concerns on an existing cruise ship to be refurbished from the energy point of view. Here, four diesel generators are installed on-board. The ship energy system includes five electric chillers, two auxiliary boilers, two reverse osmosis and two multi-stage flash desalination devices (driven by the diesel generators waste heat recoveries). Simulation results show remarkable energy savings obtained through the proposed optimization approach. Specifically, a maximum primary energy saving of about 15 GWh/y is obtained compared to the initial reference scenario. It corresponds to a fuel con-sumption reduction of 2.5 kt/y (-1.6 M$/y) and to an avoided CO2 emission of 8.0 kt/y.

关键词： Cruise ships Ship energy efficiency Dynamic simulation optimization algorithm Energy saving

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An Eddy-Current Testing Method for Measuring the Thickness of Metallic Plates

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2023年 72卷 1页

作者： Sardellitti, Alessandro Milano, Filippo Laracca, Marco Ventre, Salvatore Ferrigno, Luigi Tamburrino, Antonello Univ Cassino & Southern Lazio Dept Elect & Informat Engn I-03043 Cassino Italy Sapienza Univ Rome Dept Astronaut Elect & Energy Engn I-00185 Rome Italy Consorzio Nazl Interuniv Telecomunicaz CNIT I-43124 Pisa Italy Michigan State Univ Dept Elect & Comp Engn E Lansing MI 48824 USA

Thickness measurements of metallic plates are mandatory in many industrial scenarios. Methods based on eddy-current testing (ECT) are ideal for fast and accurate online contactless thickness measurements, making them very attractive in the Industry 4.0 scenario. This contribution is focused on a specific and robust ECT technique proposed in the past by the scientific community. The main limitation is its applicability to thin materials only, where the thickness of the material is much smaller than the overall size of the ECT probe. Extending the range of applicability to thicker materials introduces a progressive and severe degradation of the measurement accuracy. In this article, we analyze the theoretical foundation of this method with an entirely original approach based on the celebrated Buckingham p theorem. In doing this, we draw the complete theoretical picture of the method, providing a simple, clear, and rigorous view of its performance and intrinsic limitations. Moreover, we propose two solutions, one analytical and the other iterative, to accurately estimate the thickness of the materials from thin to thick values. Finally, a numerical analysis combined with an experimental campaign confirms the effectiveness of the proposed solutions, making the method suitable for industrial and other applications.

关键词： Eddy-current testing (ECT) nondestructive evaluation (NDE) nondestructive testing (NDT) optimization algorithm thickness measurement

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A new optimization algorithm for the design of aperiodic multilayer mirror for 17.1 nm and 30.4 nm

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OPTOELECTRONICS AND ADVANCED MATERIALS-RAPID COMMUNICATIONS 2013年第3-4期7卷 167-172页

作者： Zhu, Huaxin Gao, Jinsong Wang, Tongtong Zhao, Jingli Liu, Guilin Li, Shuai Jiangnan Univ Sch Sci Wuxi 214122 Jiangsu Peoples R China Chinese Acad Sci Changchun Inst Opt Fine Mech & Phys Key Lab Opt Syst Adv Mfg Technol Changchun 130033 Peoples R China

A new algorithm, Genetic/Tabu hybrid algorithm (GTHA) to optimize the aperiodic multilayer mirrors which combines the advantages of genetic algorithm (GAs) with tabu search (TS) algorithm is proposed in the extreme ultraviolet (EUV) range. Aperiodic multilayers are designed using GTHA for the selection of Fe-IX and He-II emission lines contrasting to the traditional periodic multilayers for a single wavelength. Materials of Mo and Si are selected for their high stability and fairly high reflectivity. High reflectance of 48.62% for the Fe-IX line (lambda=17.1nm) and reflectance of 20.57% for the He-II line (lambda=30.4nm) are reached by the new algorithm. Comparisons between aperiodic multilayers found by GTHA and the ones optimized using GAs indicate the effectiveness and reliability of the new hybrid algorithm. The aperiodic designs are compared with the periodic ones as well. And the aperiodic multilayers found by GTHA also have the better performance than periodic ones. The practicability of the aperiodic design optimized by GHTA is verified by the sensitivity analyses to thicknesses errors, which indicated it more feasible to fabricate the aperiodic multilayers in practice.

关键词： Optical thin Elm optimization algorithm Aperiodic multilayers

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The implementation of the Laplace equation in a slope stability analysis: the streamline method

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ACTA GEOTECHNICA 2021年第3期16卷 937-958页

作者： Luo, G. Y. Cao, H. Pan, H. South China Univ Technol Sch Civil Engn & Transportat Guangzhou 510640 Peoples R China South China Univ Technol State Key Lab Subtrop Bldg Sci Guangzhou 510640 Peoples R China South China Univ Technol South China Inst Geotech Engn Guangzhou 510640 Peoples R China

The Laplace equation satisfies the principle of the minimum potential energy, which means that groundwater flows through soil in an optimized path of minimal energy under a given condition. The essential idea of the proposed method is to convert a pure optimization problem into a boundary value problem by solving an anisotropic Laplace equation. A virtual seepage field is constructed to compute streamlines based on a dedicated permeability tensor. The permeability tensor is deduced according to the slope stress state. The magnitude of the tensor is determined by the stress failure ratio (SFR), and the major principal direction of the tensor is determined by the orientation of the maximum SFR. The boundary conditions can be applied as the entry and exit method used widely in the limit equilibrium method. The most critical slip surface is the streamline with the minimal safety factor. The proposed method is based on an elastic finite element stress and a confined virtual seepage field. Neither iterations nor assumptions about the slip surface shape and the interslice force are required in the proposed method. The major advantage of the proposed method is the optimization dimension reduction. This approach converts a 2D slope stability optimization problem into a 1D problem and greatly increases the efficiency of critical slip surface searching.

关键词： Dimension reduction Laplace equation optimization algorithm Slope stability Streamline

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