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arXiv 2018年

作者： Chen, Liyan Cheng, Samuel He, Kanghang Stankovic, Lina Stankovic, Vladimir Department of Computer Science and Technology Tongji University Shanghai201804 Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province Zhejiang Ocean University Zhoushan Zhejiang316022 School of Electrical and Computer Engineering University of Oklahoma OK74105 United States Department of Electronic and Electrical Engineering University of Strathclye GlasgowG1 1XW United Kingdom

It has recently been shown that, contrary to the wide belief that a shift-enabled condition (necessary for any shift-invariant filter to be representable by a graph shift matrix) can be ignored because any non-shift-enabled matrix can be converted to a shift-enabled matrix, such a conversion in general may not hold for a directed graph with non-symmetric shift matrix. This letter extends this prior work, focusing on undirected graphs where the shift matrix is generally symmetric. We show that while, in this case, the shift matrix can be converted to satisfy the original shift-enabled condition, the converted matrix is not associated with the original graph, that is, it does not capture anymore the structure of the graph signal. We show via a counterexample, that a non-shift-enabled matrix cannot be converted to a shift-enabled one and still maintain the topological structure of the underlying graph, which is necessary to facilitate localized signal processing. Copyright © 2018, The Authors. All rights reserved.

关键词： Signal processing

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Research on energy recycle percentage of servo motor 2

Research on energy recycle percentage of servo motor

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2nd International Conference on Precision Machinery and Manufacturing Technology, ICPMMT 2017

作者： Tseng, Yen-Ming Chen, Li-Shan Pan, Jeng-Shyang Huang, Jing Key Laboratory of Big Data Mining and Application School of Information Science and Engineering Fujian University of Technology Fuzhou City Fujian350118 China School of Management Fujian University of Technology Minhou Fuzhou City Fujian350118 China School of Information Science and Engineering Fujian University of Technology Fuzhou City Fujian350118 China

The energy recycle circuit fed back the energy to batteries is one of the important means to extend the travel distance of action vehicle for an electric vehicle or hybrid vehicle by driven batteries. In order to achieve energy recycle must be use, such as the motor characteristics, the principle of motor controller and design of circuit to reach the energy recycle of motor in action vehicles. Focus on the 24 V 8A 150W servo motor and its shaft coupling with a condition by magnetic brake to simulate as the analog load and adjust the brake to 0.2 Newton-meter. According to the characteristics of the motor, the principle of the motor controller and the design and energy recovery of the circuit system for discussion, that include drive control circuit of motor and based on the former to design the circuit of energy recycle circuit of motor and to feed back the energy to the driving batteries. According to the characteristics of the motor, the principle of the motor controller and the design and energy recovery of the circuit system for discussion, that include drive control circuit of motor and based on the former to design the circuit of energy recycle circuit of motor and to feed back the energy to the driving batteries. By mean of the architecture of energy recycle circuit to test the power recovery which divide into without load and without energy collector, without load and with energy collector, with load and without energy collector and with load and energy collector four cases under these conditions to investigate the power recovery analysis. For the statistics of energy, the average energy recovery power percentage by without load and without energy collector is 9.7%, the average energy recovery power percentage by without load and with energy collector is 20.5%, the average energy recovery power percentage by with load and without energy collector is 1.82%, and the average energy recovery power percentage by with load and with energy collector is 3.1%. © 2017

关键词： Electric network analysis

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Linked data Crowdsourcing Quality Assessment based on Domain Professionalism

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Journal of Physics: Conference Series 2019年第5期1187卷

作者： Lu Yang Li Huang Zhenzhen Liu School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province Wuhan 430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing 100038 China

With the rapid development of Internet technology, crowdsourcing, as a flexible, effective and low-cost problem-solving method, has begun to receive more and more attention. The use of crowdsourcing to evaluate the quality of linked data has also become a research hotspot. This paper proposes the concept of Domain Specialization Test (DST), which uses domain professional testing tasks DSTs to evaluate the professionalism of workers, and combines the idea of Mini-batch Gradient Descent (MBGD) to improve the EM algorithm, and the MBEM algorithm is proposed to achieve efficient and accurate evaluation of task results. The experimental results show that the proposed method can screen out the appropriate workers for the linked data crowdsourcing task and improve the accuracy and iteration efficiency of the results.

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Emergency Event Matching using Hierarchical Blocking Method

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Journal of Physics: Conference Series 2019年第5期1187卷

作者： Chang Wen Yu Liu College of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Intelligent Information Processing and Real-time Industrial System in Hubei Province Wuhan 430065 China Institute of Big Data Science and Engineering Wuhan University of Science and Technology Wuhan 430065 China Key Laboratory of Rich-media Knowledge Organization and Service of Digital Publishing Content National Press and Publication Administration Beijing 100038 China

With the extensive application of the knowledge base (KB), how to complete it is a hot topic on Semantic Web. However, many problems go with the big data, and the event matching is one of these problems, which is finding out the entities referring to the same things in the real world and also the key point in the extending process. To enrich the emergency knowledge base (E-SKB) we constructed before, we need to filter out the news from several web pages and find the same news to avoid data redundancy. In this paper, we proposed a hierarchy blocking method to reduce the times of comparisons and narrow down the scope by extracting the news properties as the blocking keys. The method transforms the event matching problem into a clustering problem. Experimental results show that the proposed method is superior to the existing text clustering algorithm with high precision and less comparison times.

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Weighted neural bag-of-n-grams model: New baselines for text classification 26

Weighted neural bag-of-n-grams model: New baselines for text...

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26th International Conference on Computational Linguistics, COLING 2016

作者： Li, Bofang Zhao, Zhe Liu, Tao Wang, Puwei Du, Xiaoyong School of Information Renmin University of China Key laboratory of Data Engineering and Knowledge Engineering MOE China

ISBN: (纸本)9784879747020

NBSVM is one of the most popular methods for text classification and has been widely used as baselines for various text representation approaches. It uses Naive Bayes (NB) feature to weight sparse bag-of-n-grams representation. N-gram captures word order in short context and NB feature assigns more weights to those important words. However, NBSVM suffers from sparsity problem and is reported to be exceeded by newly proposed distributed (dense) text representations learned by neural networks. In this paper, we transfer the n-grams and NB weighting to neural models. We train n-gram embeddings and use NB weighting to guide the neural models to focus on important words. In fact, our methods can be viewed as distributed (dense) counterparts of sparse bag-of-n-grams in NBSVM. We discover that n-grams and NB weighting are also effective in distributed representations. As a result, our models achieve new strong baselines on 9 text classification datasets, e.g. on IMDB dataset, we reach performance of 93.5% accuracy, which exceeds previous state-of-the-art results obtained by deep neural models. All source codes are publicly available at https://***/zhezhaoa/neural-BOW-toolkit. © 1963-2018 ACL.

关键词： Classification (of information)

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Nonleaky and accelerated population transfer in a transmon qutrit

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Physical Review A 2017年第2期96卷 023843-023843页

作者： Xiao-Jing Lu M. Li Z. Y. Zhao Chun-Li Zhang Hong-Pei Han Zhi-Bo Feng Yun-Qing Zhou School of Electric and Mechatronics Engineering Xuchang University Xuchang 461000 China Department of Physics Key Laboratory of Oceanographic Big Data Mining & Application of Zhejiang Province Zhejiang Ocean University Zhoushan 316000 China

We propose a theoretical scheme for implementing nonleaky and accelerated population transfer with a transmon qutrit. For a transmon-regime artificial atom with weak level anharmonicity, the leakage effects on the target population transfer are considerable. Allowed by the level-transition rule, a two-photon resonant interaction can be obtained between the qutrit and microwave drivings. In the regime of large detuning, by adopting the technique of invariant-based inverse engineering, the population transfer with no leakage errors can be sped up drastically when compared with the adiabatic operation. Moreover, the accelerated operation is highly robust against decoherence effects. Thanks to these distinctive advantages, the proposed protocol could offer a promising avenue to optimal quantum operations on transmon artificial atoms.

关键词： Adiabatic quantum optimization Quantum control Quantum information architectures & platforms

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Creating knowledge and Wisdom via Big data Analytics: Preface for ITQM 2017

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Procedia Computer Science 2017年 122卷 1-9页

作者： Ahuja, Vandana Shi, Yong Khazanchi, Deepak Abidi, Naseem Tian, Yingjie Berg, Daniel Tien, James M. Jaypee Business School A-10 Sector-62 Noida Uttar Pradesh201 307 India School of Economics and Management University of Chinese Academy of Sciences Key Lab of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing100190 China College of Information Science and Technology University of Nebraska at Omaha Chinese Academy of Sciences OmahaNE68182 United States College of Engineering University of Miami Coral GablesFL33124 United States

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Metric based on multi-order spaces for cross-modal retrieval

Metric based on multi-order spaces for cross-modal retrieval

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Liang Zhang Bingpeng Ma Guorong Li Qingming Huang Key Laboratory of Big Data Mining and Knowledge Management CAS China School of Computer and Control Engineering University of Chinese Academy of Sciences China Key Lab of Intell. Info. Process. Inst. of Comput. Tech. CAS China

ISBN: (纸本)9781509060689

This paper proposes a novel method for cross-modal retrieval. Different from vector (text)-to-vector (image) framework of the traditional cross-modal methods, we adopt a vector (text)-to-matrix (image) framework. We assume that compared with vectors, matrices can directly represent images and characterize the structure of feature space. Furthermore, we propose a Metric based on Multi-order spaces (MMs). Multi-order statistic features are used to represent images for enriching the semantic information, and metrics among the multi-spaces are jointly learned to measure the similarity between two different modalities. Specifically, there are three steps for MMs. First, we jointly use the bags of visual features (zero-order), mean (first-order) and covariance (second-order) to characterize each image. Second, considering that covariance matrices and vectors lie on a Riemannian manifold and an Euclidean space respectively, we embed multi-order spaces into their corresponding Hilbert spaces to reduce the heterogeneity among the original spaces. Finally, the similarity between two different modalities can be measured by learning multiple transformations from the different Hilbert spaces to a common subspace. The performance of the proposed method over the state-of-the-art has been demonstrated through the experiments on two public datasets.

关键词： Hilbert space Manifolds Correlation Covariance matrices Feature extraction Linear programming

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A new certificate-based aggregate signature scheme for wireless sensor networks

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Journal of Information Hiding and Multimedia Signal Processing 2018年第5期9卷 1264-1280页

作者： Chen, Jian-Neng Zou, Fu-Min Wu, Tsu-Yang Zhou, Yu-Ping College of computer Minnan Normal University ZhangzhouFujian363000 China Beidou Navigation and Smart Traffic Innovation Center of Fujian Province FuzhouFujian350008 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology China National Demonstration Center for Experimental Electronic Information and Electrical Technology Education Fujian University of Technology FuzhouFujian350008 China College of Computer Science and Engineering Shandong University of Science and Technology QingdaoShandong266590 China Key Laboratory of Applied Mathematics Putian University Fujian Province University PutianFujian351100 China

data transmission is one of the important basic technologies in wireless sensor networks (WSN). Due to the limited energy, storage capacity, computing power and communication ability of sensor nodes, the efficiency of data transmission is greatly limited. Certificate-based aggregate signature scheme provides an efficient way to combine numerous signatures into one short signature. In this paper, we propose a certificate-based aggregate signature scheme in WSN. In the random oracle model and under the computational Diffie-Hellman (CDH) Problem and bilinear Diffie-Hellman (BDH), we demonstrate that our scheme is provably secure against forgery attack. The performance analysis demonstrates that our scheme provides an efficient way for data transmission and is suitable in WSN. © 2018, Ubiquitous International. All rights reserved.

关键词： data transfer

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Ontology-based decision support system with analytic hierarchy process for tour package selection

Ontology-based decision support system with analytic hierarc...

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2017 Asia-Pacific Computational Intelligence and Information Technology Conference

作者： Tien-Wen Sung Chia-Jung Lee Pei-Wei Tsai Sheng-Hui Meng Fu-Tian Lin Fujian Provincial Key Laboratory of Big Data Mining and Applications College of Information Science and EngineeringFujian University of Technology Department of Electrical Engineering Tung Fang Design University

The popularity of Internet and growing B2 C electronic commerce nowadays make product or service information easy to be ***,making an optimal choice from the various alternative products becomes a laborious *** this paper,an ontology-based Decision Support System(DSS) with Analytic Hierarchy Process(AHP) was proposed for the specific application of tour package *** system is composed of two subsystems,the product gatherer and the decision maker,which are used to find out right products and make an expected choice *** the product gatherer subsystem,an ontology-based web service architecture with Web Ontology Language(OWL) was established for the semantic content processing of product *** Simple Object Access Protocol(SOAP) is utilized to establish the communication interface and gather XML-based contents through Remote Procedure Calls(RPC) between the system and the database servers of travel *** the decision maker subsystem,the Analytic Hierarchy Process is utilized to make an optimal decision for satisfying the requirement given by the *** system aims to help consumers to avoid falling into decision-making hesitation and get an expected choice from various and similar products.

关键词： Protocol Internet OWL Ontology-based decision support system with analytic hierarchy process for tour package selection Web

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