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37 条 记 录,以下是 1-30

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A hybrid approach of support vector regression with genetic algorithm optimization for aquaculture water quality prediction
MATHEMATICAL AND COMPUTER MODELLINGLiu, Shuangyin Tai, Haijiang Ding, Qisheng Li, Daoliang Xu, Longqin Wei, Yaoguang  出版年:2013
Water quality prediction plays an important role in modern intensive river crab aquaculture management. Due to the nonlinearity and non-stationarity of water quality indicator series, the accuracy of the commonly used co...
Study of short-term water quality prediction model based on wavelet neural network
MATHEMATICAL AND COMPUTER MODELLINGXu, Longqin Liu, Shuangyin  出版年:2013
Improved water quality prediction accuracy and reduced computational complexity are vital for ensuring a precise control over the water quality in intensive pearl breeding. This paper combined the wavelet transform with ...
A two-stage feature selection method with its application
COMPUTERS & ELECTRICAL ENGINEERINGZhao, Xuehua Li, Daoliang Yang, Bo Chen, Huiling Yang, Xinbin Yu, Chenglong Liu, Shuangyin  出版年:2015
Foreign fibers in cotton seriously affect the quality of cotton products. Online detection systems of foreign fibers based on machine vision are the efficient tools to minimize the harmful effects of foreign fibers. The ...
Generic and Efficient Constructions of Attribute-Based Encryption with Verifiable Outsourced Decryption
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTINGMao, Xianping Lai, Junzuo Mei, Qixiang Chen, Kefei Weng, Jian  出版年:2016
Attribute-based encryption (ABE) provides a mechanism for complex access control over encrypted data. However in most ABE systems, the ciphertext size and the decryption overhead, which grow with the complexity of the ac...
Prediction of dissolved oxygen content in river crab culture based on least squares support vector regression optimized by improved particle swarm optimization
COMPUTERS AND ELECTRONICS IN AGRICULTURELiu, Shuangyin Xu, Longqin Li, Daoliang Li, Qiucheng Jiang, Yu Tai, Haijiang Zeng, Lihua  出版年:2013
It is important to set up a precise predictive model to obtain clear knowledge of the prospective changing conditions of dissolved oxygen content in intensive aquaculture ponds and to reduce the financial losses of aquac...
A hybrid WA-CPSO-LSSVR model for dissolved oxygen content prediction in crab culture
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCELiu, Shuangyin Xu, Longqin Jiang, Yu Li, Daoliang Chen, Yingyi Li, Zhenbo  出版年:2014
To increase prediction accuracy, reduce aquaculture risks and optimize water quality management in intensive aquaculture ponds, this paper proposes a hybrid dissolved oxygen content forecasting model based on wavelet ana...
Multi-scale prediction of water temperature using empirical mode decomposition with back-propagation neural networks
COMPUTERS & ELECTRICAL ENGINEERINGLiu, Shuangyin Xu, Longqin Li, Daoliang  出版年:2016
In order to reduce aquaculture risks and optimize the operation of water quality management in prawn engineering culture ponds, this paper proposes a novel water temperature forecasting model based on empirical mode deco...
An Automated Diagnosis System of Liver Disease using Artificial Immune and Genetic Algorithms
JOURNAL OF MEDICAL SYSTEMSLiang, Chunlin Peng, Lingxi  出版年:2013
The rise of health care cost is one of the world's most important problems. Disease prediction is also a vibrant research area. Researchers have approached this problem using various techniques such as support vector mac...
Influence of radiofrequency power on compositional, structural and optical properties of amorphous silicon carbonitride films
APPLIED SURFACE SCIENCEPeng, Yinqiao Zhou, Jicheng Zhang, Zhichao Zhao, Baoxing Tan, Xiaochao  出版年:2010
The silicon carbonitride (SiCN) films were deposited on n-type Si (1 0 0) and glass substrates by the radiofrequency (RF) reactive magnetron sputtering of polycrystalline silicon target under mixed reactive gases of acet...
Structural and optical properties of the SiCN thin films prepared by reactive magnetron sputtering
APPLIED SURFACE SCIENCEPeng, Yinqiao Zhou, Jicheng Zhao, Baoxing Tan, Xiaochao Zhang, Zhichao  出版年:2011
Silicon carbonitride (SiCN) thin films were deposited on n-type Si (100) and glass substrates by reactive magnetron sputtering of a polycrystalline silicon target in a mixture of argon (Ar), nitrogen (N-2) and acetylene ...
Quantum inspired method of feature fusion based on von Neumann entropy
INFORMATION FUSIONPeng, Weimin Deng, Huifang  出版年:2014
One mission of feature fusion is to obtain a complete yet concise presentation of all existing feature data by detecting and fusing the duplicate feature data. In contrast to the already developed feature fusion methods ...
Effect of annealing temperature and composition on photoluminescence properties of magnetron sputtered SiCN films
THIN SOLID FILMSPeng, Yinqiao Zhou, Jicheng Zhao, Baoxing Tan, Xiaochao Zhang, Zhichao  出版年:2011
Silicon carbonitride (SiCN) films were prepared by means of reactive magnetron sputtering of a sintered SiC target on n-type Si (1 0 0) substrates in the reactant gas of nitrogen, and then the films were respectively ann...
On MAC optimization for large-scale wireless sensor network
WIRELESS NETWORKSWang, Ji Ren, Xiaoli Chen, Fang-jiong Chen, Yankun Xu, Guobao  出版年:2016
The media access control (MAC) performance of a large-scale wireless sensor network (L-WSN) determines the efficiency of the wireless communication channel. A good MAC protocol could reduce network energy consumption and...
激励表面等离子共振的金属薄膜最佳厚度分析
《物理学报》吴英才 顾铮  出版年:2008
根据电磁场在金属薄膜中的能量分布规律和金属薄膜具有复介电常数的特点,对激励表面等离子共振的金属薄膜的最佳厚度进行了探讨.指出金属薄膜的最佳厚度与激励光波长和金属薄膜的折射率有关,建立了描述它们之间关系的数学表达式,并用实...
关键词:折射率  金属薄膜  全内反射  表面等离子共振  被引量:9
Parameter estimation of the exponentially damped sinusoids signal using a specific neural network
NEUROCOMPUTINGXiao, Xiuchun Lai, Jian-Huang Wang, Chang-Dong  出版年:2014
The problem of estimating the parameters of exponentially damped sinusoids (EDSs) signal has received very much attention in many fields. In this paper, a specific neural network termed EDSNN for parameter estimation of ...
Microstructure and optical properties of SiCN thin films deposited by reactive magnetron sputtering
MATERIALS LETTERSPeng, Yinqiao Zhou, Jicheng Gong, Jiehong Yu, Qinrong  出版年:2014
Silicon carbonitride (SiCN) thin films were prepared by reactive magnetron sputtering of a sintered silicon carbide target in a mixture Of argon (Ar), hydrogen and nitrogen (N-2). The thicknesses of the films deposited w...
Research on the thermo-characteristics of surface plasmon resonance spectrum
CHINESE OPTICS LETTERSWu, Yingcai Gu, Zhengtian  出版年:2012
Based on the configuration of surface plasmon resonance (SPR) sensor, the SPR sensor model is set up, and the thermo-properties of various parts in the model are discussed. The thermo-characteristics of SPR spectra in wa...
关键词:表面等离子体激元  SPR传感器  热特性  共振谱  传感器模型  表面等离子体共振  谐振波长  热光效应  被引量:8
mu-aqua-bis(mu-4-chlorobenzoato)bis[(4-chlorobenzoato)(1,10-phenanthroline)manganese(II)]
ACTA CRYSTALLOGRAPHICA SECTION E-STRUCTURE REPORTS ONLINEShen, Yu-Li Sun, Sheng-Li Song, Wen-Dong  出版年:2007
The title complex molecule, [Mn-2(C7H4ClO2)(4)(C12H8N2)(2)-( H2O)], possesses crystallographically imposed C-2 symmetry. Each Mn-II atom is coordinated by three carboxyl O atoms from three 4-chlorobenzoate ligands, two N...
A Multi-Environmental Factor Monitoring System for Aquiculture Based on Wireless Sensor Networks
SENSOR LETTERSTai, Haijiang Liu, Shuangyin Li, Daoliang Ding, Qisheng Ma, Daokun  出版年:2012
In modern aquaculture management, water quality monitoring plays an important role. However, there are few systems which could carry out real-time multi-environmental factor monitoring in China. In this paper, we develop...
A publicly verifiable authenticated encryption scheme with message linkages
NETWORKING AND MOBILE COMPUTING, PROCEEDINGSPeng, Yin-Qiao Xie, Shi-Yi Chen, Yue-Feng Deng, Rui Peng, Ling-Xi  出版年:2005
In this study, an authenticated encryption scheme with public verifiability and message linkages is proposed. The new scheme requires smaller bandwidth and computational time as compared to previously proposed authentica...
The analysis of phytoplankton blooms off the Yangtze River Estuary in the spring of 2007
AQUATIC ECOSYSTEM HEALTH & MANAGEMENTFu, Dongyang Pan, Delu Wang, Difeng Zhang, Ying Ding, Youzhuan Liu, Dazhao  出版年:2014
The Yangtze River Estuary and the Zhejiang coastal waters have a high incidence of spring phytoplankton bloom and even red tide, but there are rarely phytoplankton blooms in the open waters off the Yangtze River Estuary ...
Prediction of Aquaculture Water Quality Based on Combining Principal Component Analysis and Least Square Support Vector Regression
SENSOR LETTERSLiu, Shuangyin Xu, Longqin Li, Daoliang  出版年:2013
The traditional methods about the water quality prediction in the aquaculture can't resolve the data redundancy and complex characters, which makes the accuracy of forecast precision low. In order to improve the accuracy...
Fast prediction of scattered sound field based on Fourier diffraction theory under second-order born approximation
ACOUSTICAL PHYSICSZhang, Peizhen Wang, Shuozhong  出版年:2014
The directional pattern of sound waves scattered from an object insonified by a plane wave can be efficiently predicted using the Fourier diffraction theorem (FDT). This is achieved by sampling a circle in the discrete F...
An Intelligent Ammonia Sensor Based on Multi-Parameter for Aquaculture
SENSOR LETTERSTai, Haijiang Ding, Qisheng Zeng, Lihua Liu, Shuangyin Li, Daoliang  出版年:2013
This paper presents an intelligent ammonia sensor based on multi-parameter for aquaculture. Against the ammonia sensors based on the electrochemistry have the problems of complex detection process, high cost of use and m...
Reducing frequency-domain artifacts of binary image due to coarse sampling by repeated interpolation and smoothing of Radon projections
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATIONZhang, Peizhen Wang, Shuozhong Wang, Runtian  出版年:2012
We develop a method to calculate 2D spectrum of a binary image with better quality than that obtained via direct 2D-FFT. With FFT, jagged edges of objects due to coarse sampling introduce artifacts into the frequency dom...
Efficient threshold public key encryption with full security based on dual pairing vector spaces
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMSGan, Yuanju Wang, Lihua Wang, Licheng Pan, Ping Yang, Yixian  出版年:2014
Most robust and noninteractive threshold public key encryption (PKE) schemes have only been proven secure against chosen-ciphertext attacks under the static corruption model; yet, the dynamic corruption model is more rea...
Preparation and characterisation of Cu2FeSnS4 micro/nano particles by a liquid reflux method
MICRO & NANO LETTERSZhou, Jicheng Wang, Yunyun Ye, Zhibin Hu, Yao Liu, Hanjian Peng, Yinqiao  出版年:2016
Quaternary compounds Cu2FeSnS4 (CFTS), a promising alternative material for solar cell absorber layer, were successfully synthesised by a liquid reflux method in a mixture solvent of triethylenetetramine-ethylene glycol ...
Dynamically Real-time Anomaly Detection Algorithm with Immune Negative Selection
APPLIED MATHEMATICS & INFORMATION SCIENCESPeng, Lingxi Chen, Wenbin Xie, Dongqing Gao, Ying Liang, Chunlin  出版年:2013
Network anomaly detection has become the promising aspect of intrusion detection. The existing anomaly detection models depict the detection profiles with a static way, which lack good adaptability and interoperability. ...
An immune system-inspired paradigm for anomaly detection
JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCEPeng, Lingxi Li, Tao Liu, Xiaojie Chen, Yuefeng Liu, Caiming Liu, Sunjun  出版年:2007
Network anomaly detection is a vibrant research area. Researchers have approached this problem using various techniques such as artificial intelligence, machine learning, and state machine modeling. In this paper, we fir...
INTELLIGENT PEARL DISEASE DIAGNOSIS BASED ON ROUGH SET - NEURAL NETWORK
INTELLIGENT AUTOMATION AND SOFT COMPUTINGXu, Longqin Liu, Shuangyin  出版年:2012
In view of large amount of monitoring data for Pearl disease, complexity of network structure of the traditional diagnostic neural network method, validity of disease data issues and slow training, this paper introduces ...
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