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Detection of insects-contaminated wheat based on PSO-BP network

information Technology Journal 2013年第16期12卷 3596-3599页

作者： Shi, Weiya Keke, Jiao Yitao, Liang Feng, Wang Zhang, Dexian School of Information Science and Technology Henan University of Technology Zhengzhou 450001 China Grain Information Processing and Control Key Laboratory of Ministry of Education Zhengzhou 450001 China

Based on biophoton analytical technology, the ultraweak photons emitted from the normal and insects-contaminated wheat are measured separately. Nine parameters of wheat self-illuminating characteristic are used as wheat feature vector. The study proposed using the PSO-BP algorithm (Particle Swarm optimization-BP neural network) as the classification algorithm. The algorithm is trained to distinguish the normal and insects-contaminated wheat. The experimental results show that the recognition precision can reach to 90%. The model can provide a new thought for the detecting the wheat pests. © 2013 Asian Network for Scientific information.

关键词： Particle swarm optimization (PSO)

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AFFINE SOFTASSIGN WITH BIDIRECTIONAL DISTANCE FOR POINT MATCHING

AFFINE SOFTASSIGN WITH BIDIRECTIONAL DISTANCE FOR POINT MATC...

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IEEE International Conference on Image processing

作者： Peng-peng Zhang Sheng-zheng Wang Yu Qiao Jie Yang Yong-hui Gao The Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China 200240 Merchant Marine College Shanghai Maritime University China 200235

ISBN: (纸本)9781479923427

This paper proposes a new affine registration algorithm for 2D point matching. It is a two-step iterative registration algorithm by soft weight assignment based on bidirectional distance. At each iteration, the affine transformation is updated by two optimization steps, in which the model data and the test data are matched from each other respectively. By the optimization of registration at separate steps during each iteration, the proposed algorithm can provide a good estimate of the accurate affine transformation in condition of poor initialization and lack of geometric assumptions on point sets. Some experiments about comparison with the current state-of-the art approaches, demonstrate the robustness and accuracy of our method.

关键词： affine soft assignment bidirectional distance point matching In-law Affine transformation Bidirectional Affine Registration observational data iterative methods

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Notes on Sampled-data design for robust control of a single qubit

Notes on Sampled-data design for robust control of a single ...

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3rd IFAC Conference on Intelligent control and Automation Science, ICONS 2013

作者： Wang, Yuanlong Chen, Chunlin Dong, Daoyi State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China Department of Control and System Engineering Nanjing University Nanjing 210093 China School of Engineering and Information Technology University of New South Wales Australian Defence Force Academy Canberra ACT 2600 Australia

ISBN: (纸本)9783902823458

This paper presents several notes on the robust control method proposed in [Dong et al (2013), Sampled-data design for robust control of a single qubit. IEEE Transactions on Automatic control, in press] and improves the original sampling periods so that this control method can be better and more furthermore easily realized. For the case of amplitude damping decoherence, a larger sampling period is presented when the upper bound of the probability of failure is small enough. For the case of phase damping decoherence, a larger sampling period is given when the lower bound of the target coherence is large enough. Furthermore, we provide improved sampling periods for both of the above two cases under the same assumption as that in [Dong et al (2013), Sampled-data design for robust control of a single qubit. IEEE Transactions on Automatic control, in press]. Copyright © 2013 IFAC.

关键词： Robust control

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Identifying peer influence in online social networks using transfer entropy

Identifying peer influence in online social networks using t...

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Pacific Asia Workshop on Intelligence and Security Informatics, PAISI 2013

作者： He, Saike Zheng, Xiaolong Zeng, Daniel Cui, Kainan Zhang, Zhu Luo, Chuan State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Management Information System University of Arizona Tucson AZ 85719 United States School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China

ISBN: (纸本)9783642396922

The past few years have witnessed the rapid growth of online social networks, which have become important hubs of social activity and conduits of information. Identifying social influence in these newly emerging platforms can provide us with significant insights to better understand the interaction behaviors among online users. However, it is difficult for us to measure the influence quantitatively among user peers, since many key factors such as homophily and heterogeneity, can not be observed in our real world conveniently. More recent work mainly focuses on developing theoretical models based on explicit causal knowledge. Nevertheless, such knowledge is usually not available and often needs to be discovered. In this paper, we introduce a model free approach to formulate causal inferences of behaviors among user peers. Experimental results show that influence measured by our approach could successfully reconstruct the underlying networks structure. Furthermore, two additional case studies based on this approach reveal that influentials wield power through specific venues, which constitute a comparatively small portion of the whole channels. © 2013 Springer-Verlag.

关键词： Social networking (online)

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An improved parameterized approach for real time optimal motion planning of AUV moving in dynamic environment

An improved parameterized approach for real time optimal mot...

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IEEE Conference on Robotics, Automation and Mechatronics

作者： Wenhao Luo Jun Peng Jing Wang Department of Automation Key Laboratory of System Control And Information Processing Shanghai China School of Information Science and Engineering Hunan Engineering Laboratory Changsha China Computer Engineering Program Bethune-Cookman University Daytona Beach FL USA

In this paper, we present an improved analytic method to the optimal trajectory generation of an autonomous underwater vehicle (AUV) in a dynamic environment. The proposed approach explicitly incorporates both the AUV kinematic and the geometric constraints due to dynamic obstacles and the terrain while rendering the near-shortest path by a performance index related to the path length. In particular, the proposed design is based on a family of parameterized trajectories determined by three adjustable parameters, which provides a unified way to reformulate the geometric constraints and performance index into a set of parameterized constraint equations. To that end, such a constrained optimization problem boils down to optimize those adjustable parameters, which can be analytically solved in the parameter space. The proposed solution enhances the methodologies of real-time path planning for robots in 3D environment. Simulation results verify the effectiveness of the proposed method.

关键词： Trajectory Planning Vehicle dynamics Dynamics Collision avoidance Kinematics Optimization

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Pharmaceutical semantic database query mechanism based on keywords

Pharmaceutical semantic database query mechanism based on ke...

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7th Chinese Semantic Web Symposium and the 2nd Chinese Web ScienceConference, CSWS 2013

作者： Sun, Juan Gu, Jinguang Huang, Zhisheng Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Realtime Industrial System Wuhan 430065 China Department of Computer Science Vrije University of Amsterdam 1081hv Amsterdam Netherlands

ISBN: (纸本)9783642540240

With the development of the Internet, Semantic search technology has been applied to various fields. In the pharmaceutical field, because of the huge number and wide range of the drugs on the market, an effective semantic retrieval system can bring great convenience for doctors. However, for doctors who have no background knowledge of semantic technologies, to write formal semantics search statement is still very difficult. Therefore, this paper proposes a pharmaceutical semantic database query mechanism which based on keywords. In this query mechanism, by analysis of ontology database and establishment of Chinese - English translation mapping, we can Transform Chinese keywords into English keywords. Then match the English keywords with ontology database to build a list of triples. And finally, formed Corresponding SPARQL query by analyze the list. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Database systems

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Optimal control for electron shuttling

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Physical Review B 2013年第23期87卷 235324-235324页

作者： Jun Zhang Loren Greenman Xiaotian Deng Ian M. Hayes K. Birgitta Whaley Joint Institute of UM-SJTU Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China Department of Chemistry Berkeley Center for Quantum Information and Computation University of California Berkeley California 94720 USA

In this paper we apply an optimal control technique to derive control fields that transfer an electron between ends of a chain of donors or quantum dots. We formulate the transfer as an optimal steering problem, and then derive the dynamics of the optimal control. A numerical algorithm is developed to effectively generate control pulses. We apply this technique to transfer an electron between sites of a triple quantum dot and an ionized chain of phosphorus dopants in silicon. Using the optimal pulses for the spatial shuttling of phosphorus dopants, we then add hyperfine interactions to the Hamiltonian and show that a 500 G magnetic field will transfer the electron spatially as well as transferring the spin components of two of the four hyperfine states of the electron-nuclear spin pair.

关键词： OPTIMAL control theory ELECTRON research QUANTUM dots PHOSPHORUS DOPING agents (Chemistry) SILICON HYPERFINE interactions HAMILTONIAN systems

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MACHINE LEARNING-BASED MULTI-CHANNEL EVALUATION POOLING STRATEGY FOR IMAGE QUALITY ASSESSMENT

MACHINE LEARNING-BASED MULTI-CHANNEL EVALUATION POOLING STRA...

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IEEE International Conference on Image processing

作者： Anzhou Hu Rong Zhang Dong Yin Wenlong Hu Department of Electronic Engineering and Information Science University of Science and Technology of China Key Laboratory of Geospatial Information Processing and Application System Technology Chinese Academy of Sciences

ISBN: (纸本)9781479923427

Multi-channel peculiarity is one of the most widely accepted human visual system (HVS) models for perceptual image quality assessment (IQA). Otherwise than extensive studies of channel decomposition and intra-channel distortion measure, relatively scant research effort has been devoted to develop efficient multichannel evaluation pooling strategies. In this paper, we review and address the limitations of the conventional pooling models based on HVS sensitivities-weighted average. Instead, we explore the utilization of machine learning for this pooling problem, since machine learning can establish an optimal and generalized mapping that models the highly complex relationship between the multi-channel distortion evaluations and the perceived image quality. Experiments based on available subjective IQA databases demonstrate the rationality, reliability and robustness of our proposed scheme.

关键词： Image quality assessment (IQA) Multi-channel model Evaluation pooling Machine learning

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Prediction of hot regions in protein-protein interactions based on complex network and community detection

Prediction of hot regions in protein-protein interactions ba...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Dongfang Nan Xiaolong Zhang Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9781479913114

In the protein-protein interactions (PPI), hot regions are the key factor to maintain metabolism and the cause of disease. The conformation and prediction of the hot regions effectively is a worth researching topics. This paper proposes a prediction method of hot regions based on complex network and community detection. In the prediction process, a hotspots retrieving strategy is used to exploit false positive (FP) and false negative (FN) residues, and these FP and FN residues achieved from the previous hotspots prediction. The method has advantage to identify hot regions in PPI, and experimental results show that the method not only improves the prediction accuracy of hot regions, but also has more reliability.

关键词： Communities Proteins Complex networks Accuracy Prediction algorithms Testing Educational institutions

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Approach for automatic construction of ontology based on medication guide

Approach for automatic construction of ontology based on med...

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7th Chinese Semantic Web Symposium and the 2nd Chinese Web ScienceConference, CSWS 2013

作者： Lu, Yuting Gu, Jinguang Huang, Zhisheng Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan 430065 China Department of Computer Science Vrije University of Amsterdam 1081hv Amsterdam Netherlands

ISBN: (纸本)9783642540240

Medication guide ontology has great significance for semantic study of rational use of drugs. Nowadays, medical ontology is mainly constructed manually, which spends a lot in time and manpower, and is also difficult to ensure the accuracy. This paper proposes a method of constructing the domain ontology of medication guide automatically. The method uses semantic pattern analysis to extract information, optimizes the extracted concepts and relations, generates medication guide ontology, and then provides the interface of pattern expansion to adapt to the changing medication guide data. Finally, it realizes the automatic construction of ontology system, and conducts experiments on to verify the feasibility of the system. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Ontology

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