The analysis of optimization in music aesthetic education under artificial intelligence by Yixuan Peng

“…This paper is dedicated to investigating the feasibility and approach to optimizing the method of music aesthetic education through DL. …”
Get full text

Differential privacy budget optimization based on deep learning in IoT by Dan LUO, Ruzhi XU, Zhitao GUAN

“…In order to effectively process the massive data brought by the large-scale application of the internet of things (IoT), deep learning is widely used in IoT environment.However, in the training process of deep learning, there are security threats such as reasoning attacks and model reverse attacks, which can lead to the leakage of the original data input to the model.Applying differential privacy to protect the training process parameters of the deep model is an effective way to solve this problem.A differential privacy budget optimization method was proposed based on deep learning in IoT, which adaptively allocates different budgets according to the iterative change of parameters.In order to avoid the excessive noise, a regularization term was introduced to constrain the disturbance term.Preventing the neural network from over fitting also helps to learn the salient features of the model.Experiments show that this method can effectively enhance the generalization ability of the model.As the number of iterations increases, the accuracy of the model trained after adding noise is almost the same as that obtained by training using the original data, which not only achieves privacy protection, but also guarantees the availability, which means balance the privacy and availability.…”
Get full text

Differential privacy budget optimization based on deep learning in IoT by Dan LUO, Ruzhi XU, Zhitao GUAN

“…In order to effectively process the massive data brought by the large-scale application of the internet of things (IoT), deep learning is widely used in IoT environment.However, in the training process of deep learning, there are security threats such as reasoning attacks and model reverse attacks, which can lead to the leakage of the original data input to the model.Applying differential privacy to protect the training process parameters of the deep model is an effective way to solve this problem.A differential privacy budget optimization method was proposed based on deep learning in IoT, which adaptively allocates different budgets according to the iterative change of parameters.In order to avoid the excessive noise, a regularization term was introduced to constrain the disturbance term.Preventing the neural network from over fitting also helps to learn the salient features of the model.Experiments show that this method can effectively enhance the generalization ability of the model.As the number of iterations increases, the accuracy of the model trained after adding noise is almost the same as that obtained by training using the original data, which not only achieves privacy protection, but also guarantees the availability, which means balance the privacy and availability.…”
Get full text

Optimized Luenberger Observer-Based PMSM Sensorless Control by PSO by Rongfu Luo, Zenghui Wang, Yanxia Sun

“…The integral time absolute error is the objective function, and the PSO with different topologies is used to optimize the PI parameters. …”
Get full text

Towards carbon emission modeling and optimization for time-sensitive IIoT by LI Yingyu, DAI Yipeng, GE Xiaohu, SHI Guangming, XIAO Yong, LIU Yan, YU Liang, XU Han

“…Aiming at time-sensitive IIoT services, a carbon emission optimization method based on cloud-edge collaboration was proposed. …”
Get full text

Optimization of constant-speed control algorithm for high-speed EMUs by XIONG Yan, ZHOU Shangru, XU Qing, HUANG He

Get full text

Multiobjective Optimization of a Rotman Lens through the QLWS Minimization by Daniele Pinchera, Stefano Perna, Marco Donald Migliore

“…More specifically, we have considered three different objectives concurring during the optimal synthesis of the lens. …”
Get full text

Curcumin phytosomal softgel formulation: Development, optimization and physicochemical characterization by Allam Ahmed N., Komeil Ibrahim A., Abdallah Ossama Y.

Get full text

Optimization of reconfigurable SM2 algorithm over prime filed by Bin LI, Qinglei ZHOU, Xiaojie CHEN, Feng FENG

“…Aiming at the problems of inefficient of software, low utilization of hardware resources and poor scalability of SM2 algorithm, a reconfigurable optimization method of SM2 algorithm over prime filed was proposed.Through in-depth analysis of the SM2 algorithm, starting from different computation stages and characteristics, respectively using KOA fast multiplication, fast modular reduction and Barrett algorithm to achieve recommended or arbitrary parameters of the modular multiplication operation, and the radix-4 extended Euclidean algorithm was optimized and improved to accelerate the modular inverse operation.Then, in the standard projective coordinate system, the Montgomery method was used to improve the efficiency of point multiplication, and the data flow of point addition and double point was optimized to shorten the operation cycle to 12 clocks.At the same time, fast coordinate system conversion was realized inside the FPGA.Finally, the parallel scheduling management of multi-SM2 was designed and implemented to meet the computational requirements of multiple applications.The experimental results show that the optimized SM2 makes full use of FPGA resources and shortens the cycle of point multiplication.The maximum number of calculations per second is 352.48 times higher than the CPU (Intel i5-8300), which improves the performance and scalability.…”
Get full text

Robust Optimization for Integrated Construction Scheduling and Multiscale Resource Allocation by Qian Li, Sha Tao, Heap-Yih Chong, Zhijie Sasha Dong

“…Differing from the common stochastic optimization problems, the resource price is supposed to be an uncertain parameter of which probability distribution is unknown, but observed data is given. …”
Get full text

Integrating optimal terrain representations from public DEMs using spaceborne LiDAR by Xingang Zhang, Shanchuan Guo, Haowei Mu, Bo Yuan, Zilong Xia, Xiaoquan Pan, Hong Fang, Pengfei Tang, Peijun Du

“…Due to differences in data sources and processing methods, the accuracy of Digital Elevation Models (DEMs) varies greatly in different regions, which poses challenges for users in data selection. …”
Get full text

Research on optimization of basic rail top bending prediction model by Chunjiang Liu, Zhikui Dong, Long Ma, Xinyu Hou, Nanbing Qiao

“…The three-point pressure top bending method is simple, flexible and widely used. In this study, the traditional three-point pressure bending is optimized, the influence of the pick width in the model is considered, a corresponding rebound model is established, and the model is applied to the pressure bending process of the basic rail. …”
Get full text

An adaptive switched capacitor strategy for efficiency optimization in LLC converters by Xia Peng, Wei Li, Qi Liu, Wai Tung Ng

“…Using this model, the optimal resonant capacitance for different load conditions to maximize efficiency can be calculated on-the-fly. …”
Get full text

Dynamic Vehicle Routing Problems with Enhanced Ant Colony Optimization by Haitao Xu, Pan Pu, Feng Duan

“…Secondly, several new evaluation benchmarks are proposed, which can objectively and comprehensively estimate the proposed method. In the experiment, the results for different scale problems are compared to those of previously published papers. …”
Get full text

Predicting Days on Market to Optimize Real Estate Sales Strategy by Mauro Castelli, Maria Dobreva, Roberto Henriques, Leonardo Vanneschi

Get full text

Optimal H2 filtering for sampled‐data systems with measurement delays and packet dropouts by Wei Wang, Chunyan Han

“…Two simulation examples are explored to demonstrate the effectiveness of the proposed method.…”
Get full text

Optimizing Satellite Imagery Datasets for Enhanced Land/Water Segmentation by Marco Scarpetta, Luisa De Palma, Attilio Di Nisio, Maurizio Spadavecchia, Paolo Affuso, Nicola Giaquinto

“…The proposed method employs the Normalized Difference Water Index (NDWI) with a variable threshold to automatically assess the quality of annotations associated with multispectral satellite images. …”
Get full text

Real-Time Optimization of Precast Concrete Component Transportation and Storage by Donghai Liu, Xin Li, Junjie Chen, Rui Jin

“…To address this problem, this paper presented a dynamic optimization method for PC component transportation and storage based on real-time scheduling and tracking. …”
Get full text

Dynamic Positioning and Optimization of Magnetic Target Based on Binocular Vision by Jing Li, Yang Wang, Ligang Qu, Guangming Lv, Zhenyu Cao

“…Aiming at the problems of visual occlusion, reduced positioning accuracy and pose loss in the dynamic scanning process of aviation large components, this paper proposes a binocular vision dynamic positioning method based on magnetic target. This method detects the spatial coordinates of the magnetic target in real time through the binocular camera, extracts the target center to construct a unified reference system of the measurement platform, and uses MATLAB simulation to analyze the influence of different target layouts on the scanning stability and positioning accuracy. …”
Get full text

Chinese National Condition Based Power Dispatching Optimization in Microgrids by Gang Chen, Jian-Ming Wang, Xiao-Dong Yuan, Liang Chen, Lu-Jia Zhao, Yu-Ling He

“…This paper proposed a study on the power dispatching optimization in the microgrid aiming at Chinese national condition based on PSO algorithm. …”
Get full text