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Comparison of contrast reduction based MODIS AOT estimates with AERONET measurements

ATMOSPHERIC RESEARCH 2012年第Oct.期116卷 33-45页

作者： Grosso, N. Paronis, D. Univ Nova Lisboa CENSE Ctr Environm & Sustainabil Res Dept Ciencias & Engn Ambiente Fac Ciencias & Tecnol P-2829516 Caparica Portugal Natl Observ Athens Inst Space Applicat & Remote Sensing Lofos Koufos 15263 Palaia Penteli Greece

Current satellite aerosol retrieval products could be complemented by contrast reduction methods to overcome limitations regarding highly reflective or heterogeneous surfaces such as urban, desert or snow covered areas. algorithms based on the contrast reduction principle, define contrast loss in an image, inside a pre-determined window size, as an exponential function of the Aerosol Optical Thickness (AOT) difference between two images (a reference and a polluted) acquired under similar observation geometry conditions. This paper presents a contrast reduction algorithm designed for the MODIS sensor, based on the Differential Texture Analysis (DTA) approach. It focuses on algorithm optimization by: a) determining an optimal AOT spatial resolution;b) constraining the relative observation geometry differences between polluted and reference images;and c) assessing the influence of several land cover classes on the accuracy of the retrievals. A comparison of the results obtained for 192 images acquired for the year 2005 with data from five European AERONET stations is performed to assess overall algorithm accuracy as well as the impact of the proposed improvements. Comparative analysis of the results for the various sites showed an optimal algorithm performance for MODIS images using a 39 pixel distance window, composed of only forest and urban pixels. Comparison with AERONET AOT data showed a good agreement with a correlation coefficient of 0.78. A similar correlation is found when comparing AERONET measurements and MODIS aerosol standard product. This research supports the establishment of contrast reduction methods as a potential complement to other aerosol retrieval methodologies. Future work will aim at removing the residual aerosol influence from reference images, including BRDFs to better reproduce surface heterogeneity and observation geometry influences and expanding the scope of this study to other AERONET sites so as to further test the algorithm at a global

关键词： Aerosol remote sensing AOT retrieval MODIS Contrast reduction method algorithm optimization Comparison with AERONET measurements

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Numerical simulation analysis of the rolling process based on the particle swarm hybrid algorithm

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IRONMAKING & STEELMAKING 2023年第9期50卷 1321-1330页

作者： Yan, Zhu-Wen Bu, He-Nan Li, Hao Hong, Lei Nanjing Inst Technol Ind Technol Res Inst Intelligent Equipment Jiangsu Prov Engn Lab Intelligent Mfg Equipment Nanjing Peoples R China Jiangsu Univ Sci & Technol Sch Mech Engn Zhenjiang Peoples R China Nanjing Inst Technol Ind Technol Res Inst Intelligent Equipment Jiangsu Prov Engn Lab Intelligent Mfg Equipment Nanjing 211167 Peoples R China

It is very complicated to study the three-dimensional deformation of metal during rolling. The conventional finite element numerical analysis method generally adopts a fixed algorithm to calculate the whole rolling process. This method consumes huge computing power and sacrifices some computing accuracy. In this paper, according to the characteristics of different rolling stages, on the basis of considering the degree of metal deformation, a particle swarm hybrid algorithm with adaptive weight-learning factor is *** Zoutendijk algorithm, Rosen algorithm, Wolfe algorithm and particle swarm hybrid algorithm are used to numerically simulate the rolling transverse thickness distribution. The accuracy of the rolling model and the particle swarm hybrid algorithm are verified. The influence of work roll edge contact and asymmetric roll bending on the deformation of rolling metal is analysed based on particle swarm mixing algorithm.

关键词： Rolling process metal deformation numerical simulation algorithm optimization influence law

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Ion flux through membrane channels - An enhanced algorithm for the Poisson-Nernst-Planck model

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JOURNAL OF COMPUTATIONAL CHEMISTRY 2008年第12期29卷 1876-1888页

作者： Dyrka, Witold Augousti, Andy T. Kotulska, Malgorzata Wroclaw Univ Technol Inst Biomed Engn & Instrumentat PL-50370 Wroclaw Poland Kingston Univ Sch Life Sci Surrey KT1 2EE England

A novel algorithmic scheme for numerical solution of the 3D Poisson-Nernst-Planck model is proposed. The algorithmic improvements are universal and independent of the detailed physical model. They include three major steps: an adjustable gradient-based step value, an adjustable relaxation coefficient, and an optimized segmentation of the modeled space. The enhanced algorithm significantly accelerates the speed of computation and reduces the computational demands. The theoretical model was tested on a regular artificial channel and validated on a real protein channel-alpha-hemolysin, proving its efficiency. (C) 2008 Wiley Periodicals, Inc.

关键词： PNP nanopore algorithm optimization relaxation technique electrodiffusion

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DIBTBL: A Novel Text Sentiment Analysis Model Based on an Improved Swarm Intelligence algorithm and Deep Learning

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IEEE ACCESS 2024年 12卷 158669-158684页

作者： Mu, Guangyu Dai, Li Li, Xiurong Ju, Xiaoqing Chen, Ying Dai, Jiaxiu Jilin Univ Finance & Econ Sch Management Sci & Informat Engn Changchun 130000 Peoples R China Lab Financial Technol Jilin Prov Changchun 130000 Peoples R China Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China

Analyzing and understanding emotional expressions in user comments is a crucial and complex task in business. Conducting text sentiment analysis is of great significance. This paper constructs a novel DIBTBL model that integrates an extended sentiment dictionary, an improved swarm intelligence algorithm, and deep learning techniques to accurately capture and analyze user emotions. Firstly, this paper expands the sentiment dictionary to extract emotion feature words from the review text. Secondly, the BERT model embeds these emotional feature words and pre-processed text into high-dimensional semantic space to obtain richer semantic representations and improve sentiment classification performance. Then, the TextCNN-BiLSTM feature extraction model is established to balance the grasping ability of local and global features. Fourthly, this paper innovatively improves the swarm intelligence algorithm BWO to optimize the parameters of the TextCNN-BiLSTM. Finally, MLP is employed for sentiment classification. The experimental data is crawled from Ctrip, China's largest hotel booking website. In the comparative experiment, the proposed model achieves a higher accuracy than TBL, DTBL, BTBL, and IBTBL by 2.94%, 2.44%, 1.64%, and 0.66%, respectively. In addition, we compare the proposed model with seven advanced models in the open dataset waimai_10k. The experimental results indicate that this model outperforms all the other models, with an average improvement in accuracy of 8.21%. The study offers precise insights into user sentiment, assisting companies in better understanding and meeting customer needs.

关键词： Feature extraction Dictionaries Analytical models optimization Long short term memory Classification algorithms Sentiment analysis Particle swarm optimization Deep learning Semantics deep learning text features algorithm optimization algorithm improvement

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A fast spatial high utility co-location pattern mining approach based on branch-and-depth-extension

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INFORMATION SCIENCES 2024年 666卷

作者： Yang, Peizhong Wang, Lizhen Zhou, Lihua Chen, Hongmei Yunnan Univ Sch Informat Sci & Engn Kunming 650091 Peoples R China Yunnan Univ Yunnan Key Lab Intelligent Syst & Comp Kunming 650091 Peoples R China Yunnan Univ Dianchi Coll Kunming 650091 Peoples R China

Mining co -location patterns hidden in spatial data is crucial for spatial association discovery, and it has broad prospects in many applications. H igh U tility C o -location P attern M ining (HUCPM) further takes the utility factor of spatial features into consideration, so it is more realistic compared with the traditional co -location pattern mining. However, HUCPM is more difficult, since the Apriori-like pruning technique does not apply. To address this problem, we firstly suggest two novel pruning strategies to trim the pattern search space. Then, a series of optimizing techniques are presented to speed up the pattern utility ratio calculation of each candidate. Based on above techniques, a fast HUCPM algorithm is proposed, which searches for high utility colocations involved in each pattern branch via a depth -extending manner and equips with a heuristic strategy to enhance the effect of pruning techniques. Moreover, we theoretically prove the completeness and correctness of the proposed algorithm, and discuss its algorithmic complexity. On multiple spatial datasets, we conduct substantial experiments to reveal the superiority of our algorithm in efficiency and scalability, as well as the effectiveness of the proposed technique. Particularly, the proposed algorithm in this paper runs faster than other baselines for several times to several orders of magnitude.

关键词： Spatial data mining Utility mining High utility co-location pattern Pruning strategy algorithm optimization

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Intelligent logistics scheduling model and algorithm based on Internet of Things technology

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ALEXANDRIA ENGINEERING JOURNAL 2022年第1期61卷 893-903页

作者： Lei, Ning Xian Int Univ Business Coll Xian 710077 Shaanxi Peoples R China

With the continuous development of science and technology, the information age has arrived, and people have fully entered the information age. In this new era, Internet technology has achieved unprecedented development, and many innovative technologies have also been proposed. The competition in the logistics industry is becoming more and more fierce. Someone proposed the concept of intelligent logistics. This concept has been continuously expanded and the requirements have become higher and higher. Finally, an intelligent logistics management supported by the Internet of Things technology has emerged. technology. In our school's research, we mainly proposed an intelligent distribution model based on the Internet of Things. This model not only optimizes the distribution process, but also proposes an efficient distribution strategy when faced with a large amount of data. This technology mainly uses the information interaction technology in the Internet of Things, which can ensure that the average delivery speed is the fastest, the average transportation distance is the shortest, and the time consumed in the logistics transmission process is the shortest. In the decision-making process of this intelligent distribution model, we must first establish some intelligent distribution models controlled by multiple indicators. During the experiment, we built a logistics perception system and used heuristic algorithms to solve the packing problem. Answered. The mainstream solution algorithm we use genetic algorithm, a large number of experiments and data show that this algorithm is scientifically based, and it has also exerted its due effect in application. This article mainly analyzes the impact of the intelligent logistics system provided by the Internet of Things technology, and then looks forward to the future development trend of the system. We hope that through the analysis of the status quo, we can promote the further development of my country's Internet of Things techn

关键词： Internet of Things Intelligent logistics Scheduling model algorithm optimization

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Maximising revenue for non-firm distributed wind generation with energy storage in an active management scheme

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IET RENEWABLE POWER GENERATION 2013年第5期7卷 421-430页

作者： Gill, Simon Barbour, Edward Wilson, I. A. Grant Infield, David Univ Strathclyde Dept Elect & Elect Engn Ctr Doctoral Training Wind Energy Syst Glasgow G1 1XW Lanark Scotland Univ Edinburgh Inst Energy Syst Edinburgh Midlothian Scotland Univ Sheffield Dept Chem & Biol Engn Sheffield S Yorkshire England

The connection of high penetrations of renewable generation such as wind to distribution networks requires new active management techniques. Curtailing distributed generation during periods of network congestion allows for a higher penetration of distributed wind to connect, however, it reduces the potential revenue from these wind turbines. Energy storage can be used to alleviate this and the store can also be used to carry out other tasks such as trading on an electricity spot market, a mode of operation known as arbitrage. The combination of available revenue streams is crucial in the financial viability of energy storage. This study presents a heuristic algorithm for the optimisation of revenue generated by an energy storage unit working with two revenue streams: generation-curtailment reduction and arbitrage. The algorithm is used to demonstrate the ability of storage to generate revenue and to reduce generation curtailment for two case study networks. Studies carried out include a single wind farm and multiple wind farms connected under a 'last-in-first-out' principle of access. The results clearly show that storage using both operating modes increases revenue over either mode individually. Moreover, energy storage is shown to be effective at reducing curtailment while increasing the utilisation of circuits linking the distribution and transmission networks. Finally, renewable subsidies are considered as a potential third revenue stream. It is interesting to note that under current market agreements such subsidies have the potential to perversely encourage the installation of inefficient storage technologies, because of increased losses facilitating greater "utilisation" of renewable generation.

关键词： algorithm optimization subsidy transmission networks Network Congestion Storage technologies Wind farms Wind energy generation Distribute energy storage operation mode REVENUE

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OFDM Signal Synchronization algorithm in the Multipath Hydroacoustic Channel

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JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS 2018年第4期63卷 354-360页

作者： Shakhtarin, B. I. Balakhonov, K. A. Kalashnikov, K. S. Bauman Moscow State Tech Univ Moscow 105005 Russia Voronezh State Univ Voronezh 394006 Russia

The modified autocorrelation algorithm for synchronizing orthogonal frequency-division multiplexing signals propagating over acoustic underwater communications systems is examined, and analytical estimates of its accuracy are presented. It is demonstrated that the algorithm optimization under multipath channel conditions leads to modified window functions used to calculate likelihood functions. The suboptimal efficient variant of the algorithm based on rectangular windows is proposed.

关键词： algorithm optimization Likelihood Functions algorithms Orthogonal frequency division multiplexing COMMUNICATION SYSTEMS underwater sound signals Multipath channels window function rectangular windows

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Recent advances in convolutional neural network acceleration

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NEUROCOMPUTING 2019年 323卷 37-51页

作者： Zhang, Qianru Zhang, Meng Chen, Tinghuan Sun, Zhifei Ma, Yuzhe Yu, Bei Southeast Univ Natl ASIC Syst Engn Technol Res Ctr Nanjing Jiangsu Peoples R China Chinese Univ Hong Kong Dept Comp Sci & Engn Hong Kong Hong Kong Peoples R China

In recent years, convolutional neural networks (CNNs) have shown great performance in various fields such as image classification, pattern recognition, and multi-media compression. Two of the feature properties, local connectivity and weight sharing, can reduce the number of parameters and increase processing speed during training and inference. However, as the dimension of data becomes higher and the CNN architecture becomes more complicated, the end-to-end approach or the combined manner of CNN is computationally intensive, which becomes limitation to CNN's further implementation. Therefore, it is necessary and urgent to implement CNN in a faster way. In this paper, we first summarize the acceleration methods that contribute to but not limited to CNN by reviewing a broad variety of research papers. We propose a taxonomy in terms of three levels, i.e. structure level, algorithm level, and implementation level, for acceleration methods. We also analyze the acceleration methods in terms of CNN architecture compression, algorithm optimization, and hardware-based improvement. At last, we give a discussion on different perspectives of these acceleration and optimization methods within each level. The discussion shows that the methods in each level still have large exploration space. By incorporating such a wide range of disciplines, we expect to provide a comprehensive reference for researchers who are interested in CNN acceleration. (C) 2018 Elsevier B.V. All rights reserved.

关键词： Convolutional neural network Model compression algorithm optimization Hardware acceleration

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RTFTL: design and implementation of real-time FTL algorithm for flash memory

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JOURNAL OF SUPERCOMPUTING 2022年第17期78卷 18959-18993页

作者： He, Qinlu Bian, Genqing Zhang, Weiqi Li, Zhen Xian Univ Architecture & Technol Sch Informat & Control Engn Xian 710054 Peoples R China Shaan Xi Inst Metrol Sci Xian 710043 Peoples R China

The optimization of traditional FTL(Flash Translation Layer) algorithm is mainly aimed at the average response time of flash memory read and write operation on a flash chip, because of the Out-of-place update, traditional FTL algorithm writes data in a new free page each time, and a new block is assigned when a block is full. Therefore, when the flash memory is almost full, a written request will lead to a garbage collection, in which there will be many write copies, which will lead to a significant decrease in response time. In this paper, we optimize the traditional FTL algorithm and propose an FTL algorithm that guarantees real-time performance by shortening the worst response time of the request as a measure of the guaranteed flash Qos (Quality of Service) under the condition that the address mapping is provided the upper layer. The algorithm adopts the idea of space-for-time and spreads the written copy of flash memory to each write request so that the worst response time of the write request is significantly reduced. The algorithm also wears balancing considerations to the algorithm. After experimental verification, the proposed algorithm has advantages over existing FTL algorithms in terms of real-time performance and has a performance improvement of more than 11% in terms of average response time and wear balance. By the way, we add the wear-level module into an algorithm. According to improving the algorithm, the worst response time has shorten 47.6%.

关键词： Storage Flash memory FTL Real-time algorithm optimization

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