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A MPPT algorithm based on membrane system for photovoltaic systems under partially shaded conditions

Journal of Computational and Theoretical Nanoscience 2016年第6期13卷 3878-3886页

作者： He, Juanjuan Fu, Jiao Liu, Jun Xiao, Jianhua School of Computer Science Wuhan University of Science and Technology Wuhan430081 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan430081 China Department of Computer Science Xiamen University Xiamen Fujian361005 China

The algorithm based on membrane system, also called membrane-inspired algorithm, has been shown to be powerful for solving combinatorial optimization problems, and it is increasingly used in practical engineering. With integrating membrane structures, evolution rules and computational mechanisms of membrane systems, membrane-inspired algorithms perform well in searching the global optimum. However, this technique can be computationally expensive because of complicated rules and communication mechanism, so that most of membrane-inspired algorithms solved problems off-line. In this work, we propose a novel membrane-inspired algorithm for tracking the global point (GP) online. The ring structure with memory mechanism is adopted to maintain diversity and the convergence that is speeded up by the fast making rules. We verify our method by solving four benchmark functions, and a numerical example of tracking the GP of photovoltaic (PV) system. The experimental results show that our methodology performs well on these four benchmark functions compared with the genetic algorithm and quantum-inspired algorithm. In practice, our method quickly tracks the GP of a PV system. Copyright © 2016 American Scientific Publishers. All rights reserved.

关键词： Membranes

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DDMA-MIMO Radar Maximum Unambiguous Velocity Extension Based on Global Optimization Phase Modulation

DDMA-MIMO Radar Maximum Unambiguous Velocity Extension Based...

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IEEE International Conference on Radar

作者： Hongfei Lian Fugang Lu Qiao Chen Jiamin Long Xueyao Hu Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China No. 203 Research Institute of China Ordnance Industries Xi'an China Beijing Science and Technology Ruixing Electronic Technology Co. Ltd Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing China

ISBN: (纸本)9781665468893

Doppler division multiple access (DDMA) waveform shows great orthogonality for multiple-input multiple-output (MIMO) radar. However, it leads to a serious velocity ambiguous problem and hinders its application in automotive radar. In this work, a maximum unambiguous velocity extension approach is developed for DDMA MIMO radar by using a global ergodic optimization phase modulation during transmission. To be specific, we take the cumulative sum of the peak amplitude difference of global as the optimization cost function to obtain modulation codes. Furthermore, a matched filter phase demodulation carried out at the receiver to determine the results of angle measurement and velocity expansion. Finally, the simulation analysis and real-data experiments demonstrate our approach effectively improves velocity ambiguity resolving capabilities of DDMA waveform and suitable for massive MIMO array in nowadays automotive radar.

关键词： Matched filters Codes Phase modulation MIMO radar Radar detection Radar Doppler radar

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Design and implementation of intelligent question and answer electronic dictionary in the context of big data

Design and implementation of intelligent question and answer...

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Communications technology and Computer Science (ACCTCS), Asia-Pacific Conference on

作者： Rui Qiao Xiaolei Zhong School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan University of Science and Technology Wuhan China Yunnan University Dianchi College Kunming China

In the current era of the Internet, social life is inseparable from data, and people also live in a network. For people, network technology and smartphones are like swimming fish without water. The swimming fish, a pond obviously cannot meet the demand, people need the sea, and the development of science and technology is as broad as the sea and has unlimited future development space [1]-[4]. The Android system is the main part of the mobile smart phone system. For this, I have developed an English-Chinese electronic dictionary app based on android. It realizes the functions of registration, login, vocabulary query, input translation, and new words of dictionary on the platform. In order to take into account various factors and user needs, the software interface design is concise and clear, and the use and operation are convenient and easy to understand. All functions are operated according to the preset plan, and the project functions are fully realized, except for some functions that cannot be completed due to technical reasons or other force majeure factors [5]-[6]. The software platform can run normally on the Android system smart terminal. After installing the software, users can use it to query English vocabulary in a normal network environment. On this basis, speech recognition translation and photo recognition translation are also added. The basic knowledge and technology of android can be used to quickly complete the production and design of the ui. The Android electronic dictionary app is based on the Android electronic dictionary app. After running the test work on various Android mobile devices and emulators, the requirements design is debugged, and the concept of the software is explained. The main significance of the design and its specific implementation process is to allow more Android users to fully enjoy and understand the software running under the android platform.

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Tomographic imaging method of GB-ArcSAR with arc-shaped interferometric baseline

Tomographic imaging method of GB-ArcSAR with arc-shaped inte...

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Signal, information and Data processing (ICSIDP), IEEE International Conference on

作者： Hanpu Zhou Kai Yan Jian Wang Xiaoxiao Li Weiming Tian Yunkai Deng Radar Technology Research Institute Bejing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing Institute of Technology Beijing China Beijing Building Research Institute Corporation Limited of CSCEC Beijing China Advanced Technology Research Institute Beijing Institute of Technology Jinan China Chongqing Innovation Center Beijing Institute of Technology China

ISBN: (数字)9798331515669

ISBN: (纸本)9798331515676

When observing building scenarios, there exists the layover problem. Synthetic aperture radar (SAR) tomography can use multiple two-dimensional (2D) SAR images acquired from different heights to inverse the range-azimuth-height 3D information of the targets. Ground-based arc-scanning synthetic aperture radar (GB-ArcSAR) can obtain a series of SAR images at different heights by performing azimuthal scanning on horizontal planes with different pitch angles, which makes it has tomography capabilities. However, the baseline of GB-ArcSAR is arc-shaped, which makes the existing tomographic imaging methods suitable for linear tomographic baselines cannot be directly applied to GB-ArcSAR. This paper proposes a tomographic imaging method of GB-ArcSAR with arc-shaped interferometric baseline. Through Taylor expansion of the distance between the target and the sampling position, a mapping relationship between the target pitch angle and interferometric phase was established. Based on the mapping relationship, the measurement matrix was constructed. Validation of the proposed method is achieved through simulations and measured data.

关键词： Point cloud compression Three-dimensional displays Two-dimensional displays Superresolution Tomography Apertures Radar imaging Taylor series Radar polarimetry Synthetic aperture radar

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Pulse repetition frequency design for geosynchronous SAR in ellipcial orbit

Pulse repetition frequency design for geosynchronous SAR in ...

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IET International Radar Conference 2015

作者： Wei Yin Wenfu Yang Zegang Ding Wei Liu Qingjun Zhang Jingjing Ren Beijing Key Laboratory of Embedded Real-time Information Processing Technology Radar Research Lab Beijing Institute of Technology Beijing P.R. China 100081 China Academy of Launch Vehicle Technology Beijing P.R. China 100076 Beijing Institute of Spacecraft System Engineering CAST Beijing P.R. China 100094

Elliptical orbit and squint mode are widely used in the system design of geosynchronous synthetics aperture radar (GEO SAR) to improve the coverage performance. In this paper, the effects of orbit height variation and squint mode to pulse repetition frequency (PRF) design are analyzed. The orbit height variation causes the variation of nadir interference and beam illumination region, and squint mode produces large range cell migration (RCM). These can induce invalidations of the designed PRF. Based on this, the constraints of nadir interference and transmit interference are updated for GEO SAR, and the effective time for the designed PRF is derived. PRF number required for imaging in one orbital period is analyzed.

关键词： Pulse repetition frequency (PRF) effective time nadir interference orbit height variation range cell migration (RCM) effective time PULSE REPETITION RATE Prolactin-Releasing Hormone Strabismus Orbits Synthetic aperture radar Rescue Specific absorption rate SAFETY ANALYSIS REPORTS Eye Sockets Genetically engineered organisms

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A General Gray Code Quantized Method of Binary Feature Descriptors for Fast and Efficient keypoint Matching

A General Gray Code Quantized Method of Binary Feature Descr...

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International Conference on Intelligent Autonomous Systems (ICoIAS)

作者： Yunhan Lin Yalan Sun Huasong Min College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial Systems Wuhan China Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology Wuhan China

In this paper, a general Gray code quantized method of binary feature descriptors is proposed for fast and efficient keypoint matching on 3D point clouds. In our method, it includes 2 variable L and N. L is rule variable which can be used to set the encoding group length according to the feature of the real-valued descriptor, and N is bits variable which can be used to set the number of Gray code bits according to the actual system requirements. Be different from the exist method, such as B-SHOT, our proposed method has the advantages of reasonable and flexible. As an example, our method is applied on the feature descriptor SHOT and tested in a standard benchmark dataset, different variable combinations of L and N are tested in the Gray code quantized processes, the best combination of L and N is dubbed as GRAY-SHOT through performance comparison. At last, GRAY-SHOT is compared with the state-of-the-art binary 3D feature descriptor B-SHOT, experimental evaluation result shows that GRAY-SHOT offers better keypoint matching performances to B-SHOT on a standard benchmark dataset with a slight more memory footprint and time consumption.

关键词： Three-dimensional displays Reflective binary codes Encoding Histograms Feature extraction Standards Benchmark testing

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Multi-level dosing and preact self-adaption correcting automatic batch control model

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Computer Modelling and New Technologies 2014年第4期18卷 226-231页

作者： Liao, Xuechao Liu, Zhenxing College of Computer Science Wuhan University of Science and Technology Wuhan 430081 China Hubei Province Key Laboratory of Intelligent Information Processing Real-time Industrial System Wuhan 430081 China College of Information Science and Engineering Wuhan University of Science and Technology Wuhan 430081 China

The process flow and system structure of automatic batch weighing system are presented. In order to increase production speed and dosing accuracy, the multi-level dosing control model (high/low speed dosing + inching dosing) is designed. Besides, the inching dosing mode is adopted to accurately compensate the weight deviation. In order to solve the problem that the fall of materials in-air cannot be easily controlled and out of tolerance. The multi-level dosing control model and preact will correct after each dosing dynamically with iteration method, moreover, the target value is predicted with second-order estimator, so as to increase the dosing speed with high weighing accuracy. The successful application proves that the control model can realize the rapid and accurate control of batch weighing process and has quite favourable control and reliability.

关键词： Iterative methods

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Detecting DTI Using Graph Embedding and Multi-Head Attention Mechanism

Detecting DTI Using Graph Embedding and Multi-Head Attention...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Xiaoli Lin Yaoyu Chen Wenli Yang HaiPing Yu Zimo Wu Xiaolong Zhang Hubei Key Laboratory of Intelligent Information Processing and Real-Time Industrial System School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China School of Information Wuhan Vocational College Professional Committee of Graphics and Big Data China Graphics Society Wuhan China

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Drug-target interaction (DTI) prediction has an important role in drug discovery, significantly expediting the drug design and development process. This paper proposes a new model, ERW_BiAN, that seamlessly integrates graph embedding representations with deep learning network. Specifically, we utilize an improved graph embedding model, ERW, to generate comprehensive feature vectors for each node within the knowledge graph. Subsequently, these feature vectors are fed into the BiAN model, which leverages an attention mechanism to assign precise weights to sequences. Experimental results demonstrate the superior accuracy and predictive prowess of ERW_BiAN in DTI prediction tasks. Furthermore, the case about COVID-19 shows that ERW_BiAN has the better application potential for predicting drug-target interactions.

关键词： Deep learning Drugs COVID-19 Attention mechanisms Biological system modeling Knowledge graphs Predictive models Vectors Drug discovery Diffusion tensor imaging

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ProvenanceLens: Service provenance management in the cloud

ProvenanceLens: Service provenance management in the cloud

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International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)

作者： Tao Li Ling Liu Xiaolong Zhang Kai Xu Chao Yang Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System School of Computer Wuhan University of Science and Technology School of Computer Science. Georgia Institute of Technology Atlanta GA USA Computer Science and Information Engineering Hubei University Wuhan China

ISBN: (纸本)9781479953288

Service provenance can be defined as a profile of service execution history. Queries of service provenance data can answer questions such as when and by whom a server is invoked? which services operate on this data? What might be the root cause for the service failure? Most of the organizations today collect and manage their own service provenance in order to trace service execution failures, locate service bottlenecks, guide resource allocation, detect and prevent abnormal behaviors. As services become ubiquitous, there is an increasing demand for proving service provenance management as a service. This paper describes ProvenanceLens, a two-tier service provenance management framework. The top tier is the service provenance capturing and storage subsystem and the next tier provides analysis and inference capabilities of service provenance data, which are value-added functionality for service health diagnosis and remedy. Both tiers are built based on the service provenance data model, an essential and core component of ProvenanceLens, which categorizes all service provenance data into three broad categories: basic provenance, composite provenance and application provenance. In addition, ProvenanceLens provides a suite of basic provenance operations, such as select, trace, aggregate. The basic provenance data is collected through a light-weight service provenance capturing subsystem that monitors service execution workflows, collects service profiling data, encapsulates service invocation dependencies. The composite and application provenance data are aggregated through a selection of provenance operations. We demonstrate the effectiveness of ProvenanceLens using a real world educational service currently in operation for a dozen universities in China.

关键词： Silicon Analytical models Data models Computational modeling

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Coherence Analysis and Interferometric Measurement of P-Band Repeat Pass UAV InSAR

Coherence Analysis and Interferometric Measurement of P-Band...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Xin Xie Yunkai Deng Zihang Jiang Xiaoxiao Li Weiming Tian Radar Technology Research Institute Beijing Institute of Technology Beijing China Chongqing Innovation Center Beijing Institute of Technology Chongqing China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing China Beijing Building Research Institute Co. Ltd. of CSCEC Beijing China Advanced Technology Research Institute Beijing Institute of Technology Jinan China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Miniaturized and lightweight unmanned aerial vehicles (UAV) provide a flexible platform for synthetic aperture radar (SAR). The application of UAV interferometric SAR (InSAR) is gradually increasing in interferometric measurement fields. Leveraging the P-band signal and the capability to penetrate leaf clusters, these UAV InSAR systems demonstrate significant potential for topographic mapping and deformation monitoring, even in challenging surface conditions. This paper introduces the primary challenges associated with UAV InSAR, with a specific focus on analyzing the coherence of UAV InSAR. Additionally, we present interferometric measurement results obtained by our self-developed P-band UAV InSAR system and the processing flow we proposed. These results effectively address key challenges and validate the feasibility of the system for repeat pass interferometric measurements.

关键词： Optical interferometry Deformation Geoscience and remote sensing Coherence Gain measurement Autonomous aerial vehicles Surface topography

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