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18th International Conference on Membrane Computing, CMC 1018

作者： Adorna, Henry Alhazov, Artiom Pan, Linqiang Song, Bosheng Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology Wuhan430074 China University of the Philippines Diliman Quezon City1101 Philippines Institute of Mathematics and Computer Science Academy of Science of Moldova Academiei 5 Chişinău2028 Moldova School of Electric and Information Engineering Zhengzhou University of Light Industry Zhengzhou450002 China

We aim to compare functionality of symport/antiport with embedded rewriting to that of symport/antiport accompanied by rewriting, by two-way simulation, in case of tissue P systems with parallel communication. A simul... 详细信息

ISBN: (纸本)9783319733586

关键词： Tissue

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Combination Forecast Method of the Output of grain Based on the Exponential Smoothing and Differential Treatment

Combination Forecast Method of the Output of Grain Based on ...

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2017 2nd International Conference on Applied Mechanics, Electronics and Mechatronics Engineering(AMEME 2017)

作者： Hong-liang FU Shao-hang WANG Chao LI Pei-ge CAO Tie-jun YANG Henan University of Technology College of Information Science and Engineering Key Laboratory of Grain Information Processing and Controlling

The purpose of this paper is to further improve accuracy of the grain yield prediction and enhance the robustness of the prediction algorithm. The method mainly involves the knowledge included Gray Theory and Multiple Linear Regression. Readers can refer to Headline 2 to understand. Firstly, this method analyzed the factors that affected the grain yield, smoothed the data of the previous influence factors exponentially, used the gray theory to iteratively predict the new impact factor data, and then automatically selected the factors with high correlation degree through the influence factor correlation analysis. Finally, different treatment processed grain yield data to reduce the fluctuation of the data. To predict future grain yield used multiple regression and residual correction. You can check the title 3 for a detailed solution. The forecasting method proposed in this paper has a good prediction effect, and the relative error of annual average prediction is less than 5%.

关键词： Exponential smoothing Difference processing Grey theory Multiple regression

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Research on Encryption Algorithm Based on Python

Research on Encryption Algorithm Based on Python

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International Conference on Computer technology, Electronics and Communication (ICCTEC)

作者： Xin Zhang Dexian Zhang College of Information Science and Engineering Henan University of Technology Zhengzhou Henan China Grain Information Processing and Control Key Laboratory of Ministry of Education Zhengzhou Henan China

ISBN: (纸本)9781538657850

With the rise of Python language in these years, more and more developers start to use Python language to do researches. Python language has its own advantage on Encryption algorithm. This paper discusses the principles of Caesar Cipher, Simple Substitution Cipher and Vigenere Cipher and their operating process based on Python, then concludes the characteristics and disadvantages of these Encryption algorithms from security and efficiency. It points out their applicable range, and in the end, forecasts the future of the Encryption algorithm based on Python.

关键词： Ciphers Encryption Python Nonlinear optics Optical imaging

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Cell-Like P systems with symport/antiport rules and promoters 12th

Cell-Like P systems with symport/antiport rules and promoter...

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12th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2017

作者： Jiang, Suxia Wang, Yanfeng Xu, Jinbang Xu, Fei School of Electric and Information Engineering Zhengzhou University of Light Industry ZhengzhouHenan450002 China Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology WuhanHubei430074 China

ISBN: (纸本)9789811071782

Cell-like P systems with symport/antiport rules (CSA P systems, for short) are a class of computational models in membrane computing, inspired by the way of transmembrane transport of substances through membrane channels between neighboring regions in a cell. In this work, we propose a variant of CSA P systems called cell-like P systems with symport/antiport rules and promoters (CSAp P systems, for short), where symport/antiport rules are regulated by multisets of promoters, and the computation power of CSAp P systems is investigated. Specifically, it is proved that CSAp P systems working in the maximally parallel mode, having any large number of membranes and promoters and using only symport rules of length 1 or antiport rules of length 2, are able to compute only finite sets of non-negative integers. Furthermore, we show that CSAp P systems with two membranes working in a sequential mode when having at most two promoters and using only symport rules of length 2, or having at most one promoter and using symport rules of length 1 and antiport rules of length 2, are Turing universal. © Springer Nature Singapore Pte Ltd 2017.

关键词： Cells

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Predicting essential proteins based on gene expression data, subcellular localization and PPI data 1

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12th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2017

作者： Lei, Xiujuan Wang, Siguo Pan, Linqiang School of Computer Science Shaanxi Normal University Xi’anShaanxi710119 China Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology WuhanHubei430074 China School of Electric and Information Engineering Zhengzhou University of Light Industry ZhengzhouHenan450002 China

ISBN: (数字)9789811071799

ISBN: (纸本)9789811071782

Predicting essential proteins is indispensable for understanding the minimal requirements of cellular survival and development. In recent years, many methods combined with the topological features of PPI networks have been proposed. However, most of these approaches ignored the intrinsic characteristics of biological attributes. This paper integrates Gene expression data, Subcellular localization and PPI networks to identify essential proteins, named GSP. We use local average connectivity and edge clustering coefficient unite with gene expression data to measure centralities of nodes. Compared with non-essential proteins, essential proteins appear more frequently in some subcellular localizations such as Nucleus and considering that different compartments play different roles, thus we integrate subcellular localization information to identify essential proteins. The computational experiment results on the yeast PPI networks show that the proposed method GSP outperforms other state-of-art methods including DC, EC, IC, SC, NC, LAC, PeC, WDC and UDoNC. © Springer Nature Singapore Pte Ltd 2017.

关键词： Proteins

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Research on compressed sensing of KL domain with limited feedback in MIMO-OFDM system 8

Research on compressed sensing of KL domain with limited fee...

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8th IEEE International Conference on Communication Software and Networks, ICCSN 2016

作者： Hongliang, Fu Chao, Li Henan University of Technology Key Laboratory of Grain Information Processing and Controlling Zhengzhou China Henan University of Technology College of Information Science and Engineering Zhengzhou China

ISBN: (纸本)9781509017805

In order to solve the problem of feedback link overhead in MIMO-OFDM system, and improve the transmission efficiency, a limited feedback method based on KL domain is proposed in this paper. In this method, the state information which is obtained from the channel estimation performed in KL domain sparse at the receiving end. Thereby a small amount of linear measurements are obtained which represents the total channel state information, Then these measurements are fed back to the transmitting end. In the transmitter, the channel state information is reconstructed through orthogonal matching pursuit algorithm. The simulation results show that the proposed limited feedback based on KL (Karhuner-Loeve) domain method can achieve full channel state feedback effect and decreases the overhead in the feedback link. © 2016 IEEE.

关键词： Channel state information

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Derivation languages of splicing P systems 12th

Derivation languages of splicing P systems

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12th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2017

作者： Mahalingam, Kalpana Paul, Prithwineel Song, Bosheng Pan, Linqiang Subramanian, K.G. Department of Mathematics Indian Institute of Technology Madras Chennai600036 India Key Laboratory of Image Information Processing Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology WuhanHubei430074 China School of Electric and Information Engineering Zhengzhou University of Light Industry ZhengzhouHenan450002 China Faculty of Science Liverpool Hope University LiverpoolL16 9JD United Kingdom

ISBN: (纸本)9789811071782

Labelled splicing P systems are distributed parallel computing models, where sets of strings that evolve by splicing rules are labelled. In this work, we consider labelled splicing systems with the following modifications: (i) The strings in the membranes are present in arbitrary number of copies;(ii) the rules in the regions are finite in number. Results on the language family generated by the labelled splicing system in comparison with the language families of the Chomsky hierarchy, including recursively enumerable languages, are obtained, by involving only either one or two membranes in the P systems considered. © Springer Nature Singapore Pte Ltd 2017.

关键词： Distributed computer systems

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Hierarchical P systems with randomized right-hand sides of rules 18th

Hierarchical P systems with randomized right-hand sides of r...

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18th International Conference on Membrane Computing, CMC 1018

作者： Alhazov, Artiom Freund, Rudolf Ivanov, Sergiu Institute of Mathematics and Computer Science Academy of Sciences of Moldova Academiei 5 Chişinău2028 Moldova Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology Wuhan430074 China Faculty of Informatics TU Wien Favoritenstraße 9–11 Vienna1040 Austria LACL Université Paris Est – Créteil Val de Marne 61 av. Général de Gaulle Créteil94010 France TIMC-IMAG/DyCTiM Faculty of Medicine of Grenoble 5 avenue du Grand Sablon La Tronche38700 France

ISBN: (纸本)9783319733586

P systems are a model of hierarchically compartmentalized multiset rewriting. We introduce a novel kind of P systems in which rules are dynamically constructed in each step by non-deterministic pairing of left-hand and right-hand sides. We define three variants of right-hand side randomization and compare each of them with the power of conventional P systems. It turns out that all three variants enable non-cooperative P systems to generate exponential (and thus non-semi-linear) number languages. We also give a binary normal form for one of the variants of P systems with randomized rule right-hand sides. © 2018, Springer International Publishing AG.

关键词： Hierarchical systems

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Optically controlled terahertz amplitude modulator based on single-layer graphene

Optically controlled terahertz amplitude modulator based on ...

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International Symposium on Ultrafast Phenomena and Terahertz Waves, ISUPTW 2016

作者： Fu, Maixia Zhang, Yan Department of Physics Capital Normal University Beijing Key Lab for Metamaterials and Devices Key Lab of Terahertz Optoelectronics Ministry of Education Beijing100048 China College of Information Science and Engineering Henan University of Technology Key Laboratory of Grain Information Processing and Control Ministry of Education Zhengzhou Henan450001 China

An efficient terahertz amplitude modulator consisting of a single layer graphene on silicon substrate is investigated with an external contiounus-wave laser. The proposed work gives promising applications in high-perf... 详细信息

ISBN: (纸本)9781943580217

关键词： Graphene

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grain storage state detection based on support vector machine and granary bottom pressure

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Journal of Computational and Theoretical Nanoscience 2016年第9期13卷 5777-5780页

作者： Zhang, Miao Zhang, De-Xian Department of Information Science and Engineering Henan University of Technology Zhengzhou 450001 ChinaKey Laboratory of Processing and Control on Grain Information Zhengzhou 450001 China

The pressure sensor technology and support vector machine (SVM) algorithm are combined to recognize different grain storage states of granaries. Data from the pressure sensors on the inner and outer rings of granary bottoms are used as study object. SVM algorithm is used to study the grain storage states of different granaries and different grain varieties. Experimental results show that the proposed method can meet the demand of online remote surveillance of grain storage states of granaries. Copyright © 2016 American Scientific Publishers All rights reserved.

关键词： Support vector machines

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