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Conference on Medical Imaging, Parallel Processing of Images, and optimization Techniques

作者： Chen, Zhengzhang Yang, Xiaoyuan Yang, Rui Beihang Univ Digital Media Lab Sch Comp Sci & Engn Beijing 100083 Peoples R China

ISBN: (纸本)9780819469533

Nowadays wavelet transform has been one of the most effective transform means in the realm of image processing, especially the biorthogonal 9/7 wavelet filters proposed by Daubechies, which have good performance in image compression. This paper deeply studied the implementation and optimization technologies of 9/7 wavelet lifting scheme based on the DSP platform, including carrying out the fixed-point wavelet lifting steps instead of time-consuming floating-point operation, adopting pipelining technique to improve the iteration procedure, reducing the times of multiplication calculation by simplifying the normalization operation of two-dimension wavelet transform, and improving the storage format and sequence of wavelet coefficients to reduce the memory consumption. Experiment results have shown that these implementation and optimization technologies can improve the wavelet lifting algorithm's efficiency more than 30 times, which establish a technique foundation for successfully developing real-time remote sensing image compression system in future.

关键词： wavelet transform lifting remote sensing image compression DSP algorithm optimization software pipeline

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Sdn Multi Network Element Routing optimization Strategy In 5g Scenario 6

Sdn Multi Network Element Routing Optimization Strategy In 5...

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6th IEEE Advanced Information Technology, Electronic and Automation Control Conference (IEEE IAEAC)

作者： Yan, Chungang Sheng, Shuo Tongji Univ Minist Educ Key Lab Embedded Syst & Serv Comp Shanghai Peoples R China

ISBN: (数字)9781665458641

ISBN: (纸本)9781665458641

With the introduction of many new features of 5g and the gradual promotion of 5g test and pre commercial plan, the 5g oriented bearer network architecture and technical solution have become the focus of the industry. Correspondingly, the management and control technology of the bearer network has also appeared many new features. 5g network involves wireless, core network and bearer network, and supports a variety of network application scenarios at the same time. It is the basic demand of 5g bearer network collaborative management and control to realize end-to-end network and business collaboration through SDN architecture and improve the automatic opening and deployment of services and intelligent operation and maintenance capabilities. This paper proposes a multi-path routing optimization algorithm based on 5g + Sdn. Compared with traditional algorithms, the optimization algorithm has obvious improvement in cost, energy consumption awareness and load balancing.

关键词： 5G SDN algorithm optimization Route optimization strategy

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A review of welding simulation methods for large components

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Progress in Natural Science:Materials International 2023年第5期33卷 551-568页

作者： Shuai Liu Zhiqiang Wu Wenhao Zhou Honggang Zhou Keke Zhang Danqing Yin Yongping Lei Yongfeng Qiu Engineering Research Center of Mining Development Technology and Equipment for Deep Sea and Earth Ministry of Education Hunan University of Science and Technology Hunan Valin Xiangtan Iron & Steel Group Co. Ltd Research Institute of Technology Jianglu Electromechanical Science & Technology Co. Ltd.Xiangtan School of Materials Science and Engineering Henan University of Science and Technology School of Materials Science and Engineering Beijing University of Technology Guiyang Aluminum Magnesium Design & Research Institute Co. Ltd

The challenges posed by cross-scale effects, large computational requirements, high nonlinearity, and complex interactions of multiple physical phenomena constitute major obstacles to the effectiveness and accuracy of welding simulations for large structural components. Therefore, achieving accurate welding simulation to predict and effectively control welding deformation of substantial engineering structural parts is essential to ensure welding quality and improve production efficiency. This paper reviews the current research status of welding numerical simulation of large engineering components, including the establishment of the finite element model,optimization of the heat source model, selection of appropriate finite element calculation method, and the control of welding deformation through optimization algorithm. In addition, the strategies to improve the precision and efficiency of welding numerical simulation and control welding deformation of engineering components are analyzed and discussed. The future development of welding numerical simulation will focus on balancing simulation accuracy and simulation efficiency and optimizing welding parameters to control welding deformation efficiently.

关键词： Large welded components algorithm optimization Welding deformation Simulation accuracy and efficiency

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optimization of electrical stimulation parameters based on the primary motor cortex 21

Optimization of electrical stimulation parameters based on t...

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21st IEEE International Conference on Mechatronics and Automation (IEEE ICMA)

作者： Xiao, Yuanyuan Guo, Xin Li, Zengyong Hebei Univ Technol Sch Artificial Intelligence & Data Sci Tianjin Peoples R China Minist Educ Engn Res Ctr Intelligent Rehabil Device & Detect Tianjin Peoples R China Qinhuangdao Res Inst Natl Rehabil Aids Res Ctr Qinhuangdao Hebei Peoples R China Natl Res Ctr Rehabil Aids Beijing Peoples R China

ISBN: (纸本)9798350388084;9798350388077

Transcranial electrical stimulation refers to the transmission of weak electrical currents to the brain through scalp electrodes to induce neuromodulatory effects. Current usually passes through two large electrodes, generating a diffusion electric field. In this article, we propose a new paradigm where multiple small electrodes with independent current control are systematically optimized to generate targeted and effective stimuli under safety constraints. We used finite element method combined with a model based on human head magnetic resonance imaging to develop a linear system that correlates the applied scalp current with the generated electric field. Then apply optimization techniques to derive yield increasing parameters that maximize intensity or focus at the target location. The results indicate that the optimal electrode structure is closely related to the required electric field orientation and optimization criteria. The two optimization methods used have achieved good results.

关键词： Transcranial electrical stimulation real head model electric field simulation algorithm optimization

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Research on Supermarket Vegetable Product Management based on Time Series and optimization Models 2

Research on Supermarket Vegetable Product Management based o...

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2nd IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2024

作者： Zhu, Julie Li, Peijie Zhu, Chenjia Shanxi University of Finance and Economics Faculty of International Trade Shanxi Taiyuan China Shanxi University of Finance and Economics School of Business Administration Shanxi Taiyuan China

ISBN: (纸本)9798350317558

To address the diverse challenges faced by supermarkets in managing vegetable products, such as accurately predicting sales trends and formulating suitable pricing strategies, this study employs techniques like ARIMA seasonal decomposition and grey correlation analysis for sales data forecasting. These methods have the potential to enhance sales revenue, reduce inventory costs, and improve customer satisfaction for supermarkets. Furthermore, the paper establishes ARIMA-based pricing optimization models and utilizes genetic algorithms to optimize restocking plans. The implemented strategies are geared towards addressing various challenges inherent in the management of vegetable products. These challenges encompass the vital need for precise prediction of sales trends and the development of well-founded pricing strategies. The paper concludes by subjecting these strategies to a meticulous examination, conducting an in-depth analysis of the data to assess their effectiveness. Through its findings, the research significantly contributes to the enhancement of business outcomes in vegetable product management for supermarkets, thereby reinforcing their pivotal role in the contemporary economy. Supermarkets can enhance performance and adapt to changing consumer needs by employing advanced forecasting techniques and optimization algorithms in the modern marketplace. © 2024 IEEE.

关键词： algorithm optimization Correlation Analysis Mixed-Integer Programming Time Series

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A novel hybrid machine learning approach for accurate retrieval of ocean surface chlorophyll-a across oligotrophic to eutrophic waters

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Environmental Research 2025年第PT 2期279卷 121864页

作者： Qin, Ting Liang, Tianlong Fan, Donglin He, Hongchang Lan, Guiwen Fu, Bolin College of Geomatics and Geoinformation Guilin University of Technology Guilin 541006 China Ecological Spatiotemporal Big Data Perception Service Laboratory Guilin University of Technology Guilin 541006 China NetCraft Information Technology (Macau) Co. Ltd. Macau 999078 China

Accurate assessment of chlorophyll a (Chla) concentration distribution and variations is significant for environmental monitoring and ecological research. However, the inversion of Chla in different optical types of water bodies can only be achieved by establishing algorithms suitable for different optical types, lacking a machine learning algorithm framework. Therefore, this study focuses on two aspects, input features and data samples, and designs an innovative composite machine learning algorithm framework called Synth Ridge Framework (SRF). The framework mainly consists of two main components: feature expansion and model construction. We employed the band ratio method and BorutaShap for feature expansion and selection. By integrating three gradient boosting decision tree models (XGBoost, LightBoost, and CatBoost) with the MDN ensemble strategy, we constructed a model named SynthRidge, aiming to enhance the model's overall performance. SynthRidge was trained and validated using the Rrs-In situ Chla dataset from the Terra-MODIS sensor, with Chla values ranging from 0 to 50 mg/m³ in both datasets. On mg/m³the validation dataset, the SynthRidge model achieved strong predictive performance, with an R² of 0.930, a slope of 0.928, an RMSE of 4.672 mg/m³, an RMLSE of 0.039, a bias of 1.023, and an MAE of 1.389. Compared to the best-performing baseline model, the GBDT ensemble, SynthRidge demonstrated superior accuracy and robustness. Specifically, it improved the R² by 0.006, increased the slope by 0.020, reduced the RMSE by 0.890 mg/m³, and decreased the RMLSE by 0.003. The validation dataset has its R², Slope, RMSE, RMLSE, Bias, and MAE values of 0.930, 0.928, 4.672 mg/m³, 0.039, 1.023, and 1.389, respectively. The predicted Chla density distribution by SynthRidge was more consistent with the measured values. These findings suggest that SRF is capable of effectively compensating fo

关键词： algorithm optimization Chlorophyll inversion framework Cross-water types Ensemble learning Feature expansion

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DECISION-MODELS FOR AIDING FMS SCHEDULING AND CONTROL

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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS 1988年第5期18卷 744-756页

作者： AMMONS, JC GOVINDARAJ, T MITCHELL, CM GEORGIA INST TECHNOL CTR HUMAN MACHINE SYST RESATLANTAGA 30332

Control of flexible manufacturing systems (FMS) requires the complex interaction of two components: (1) computers to perform automated control and routing activities, and (2) humans to supervise the automation, to monitor system flows and outputs, and to intervene to diagnose and either correct or compensate for unanticipated events. Current academic FMS scheduling research has focused mainly on the first component in the control loop, development of scheduling algorithms for optimization and control. Here, the second component is included in both the definition of the FMS control problem and the corresponding control approach. A more realistic definition of the FMS control environment is presented using a supervisory control framework. Within this context, the concept of aiding a human operator who supervises the predominantly automated FMS operations is developed.

关键词： algorithm optimization Supervisory control Decision Modeling Automation Scheduling algorithms

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Speeding-up convolutional neural networks: A survey

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BULLETIN OF THE POLISH ACADEMY OF SCIENCES-TECHNICAL SCIENCES 2018年第6期66卷 799-811页

作者： Lebedev, V Lempitsky, V Skolkovo Insitute Sci & Technol Moscow Russia Yandex Moscow Russia

Convolutional neural networks (CNN) have become ubiquitous in computer vision as well as several other domains, but the sheer size of the modern CNNs means that for the majority of practical applications, a significant speed up and compression are often required. Speeding-up CNNs therefore have become a very active area of research with multiple diverse research directions pursued by many groups in academia and industry. In this short survey, we cover several research directions for speeding up CNNs that have become popular recently. Specifically, we cover approaches based on tensor decompositions, weight quantization, weight pruning, and teacher-student approaches. We also review CNN architectures designed for optimal speed and briefly consider automatic architecture search.

关键词： convolutional neural networks resource-efficient computation algorithm optimization

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On fast running max-min filtering

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING 1997年第8期44卷 660-663页

作者： Coltuc, D Pitas, I UNIV THESSALONIKI DEPT INFORMATGR-54006 THESSALONIKIGREECE

The problem of fast running max/min filters for arbitrary-size windows is addressed, The size of the filter window is increased to the least power of two greater than the given size and, the input sequence is expanded, The running max/min computation uses a fast algorithm for power of two window sizes, The computational complexity (comparisons per sample) of the proposed algorithm is very close to log(2)n, where n is the size of the given window, A flexible hardware implementation for n ranging between two consecutive powers of two is discussed.

关键词： algorithm optimization fast algorithms max-min filtering

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Nested Wave Function Collapse Enables Large-Scale Content Generation

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IEEE TRANSACTIONS ON GAMES 2024年第4期16卷 892-902页

作者： Nie, Yuhe Zheng, Shaoming Zhuang, Zhan Togelius, Julian NYU Dept Comp Sci Game Innovat Lab Brooklyn NY 11201 USA Imperial Coll London Dept Elect & Elect Engn London SW7 2AZ England Southern Univ Sci & Technol Dept Comp Sci & Engn Shenzhen 518055 Peoples R China

The Wave Function Collapse (WFC) algorithm is a widely used tile-based algorithm in procedural content generation, including textures, objects, and scenes. However, the current WFC algorithm and related optimized algorithms based on it lack the ability to generate commercial-scale or infinite content due to constraint conflicts and high time complexity. This article proposes the Nested WFC algorithm framework to reduce time complexity. To avoid conflict and backtracking problems, we offer a complete and subcomplete tileset preparation strategy, which requires only a small number of tiles to generate infinite, aperiodic, and deterministic content. We use Mario and Carcassonne as two game examples to describe their application and discuss potential research value. Our contribution addresses WFC's challenge in massive content generation and provides a theoretical basis for implementing concrete games.

关键词： Games Wave functions Backtracking Time complexity Three-dimensional displays Task analysis Indexes algorithm optimization constraint satisfaction problem procedural content generation (PCG) tessellation Wave Function Collapse (WFC)

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