• 제목/요약/키워드: State Information

검색결과 9,754건 처리시간 0.037초

Efficient Cross-Room Switch Mechanism for Indoor Room-Division-Multiplexing Based Visible Light Communication Network

  • Huang, Zhitong;Xiong, Jieqing;Li, Jianfeng;Ji, Yuefeng
    • Journal of the Optical Society of Korea
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    • 제19권4호
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    • pp.351-356
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    • 2015
  • Visible light communication (VLC) is considered to be an attractive scheme to realize the broadband wireless communication for an indoor environment. We present a room division multiplexing (RDM) mechanism for an indoor multi-room VLC network, which utilizes the spatial position of the LED lamp in different rooms as a novel dimension of network resource for multiplexing, and thus the network capacity is increased. In such a network, the service interruption caused by user cross-room movement is an important problem, and we propose a double-area-positioning based cross-room switch solution. An experimental platform demonstrates the RDM-deployed VLC network, and validates the performance of the presented switch mechanism.

Preparation of Highly Visible-Light Photocatalytic Active N-Doped TiO2 Microcuboids

  • Zhao, Kang;Wu, Zhiming;Tang, Rong;Jiang, Yadong
    • 대한화학회지
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    • 제57권4호
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    • pp.489-492
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    • 2013
  • N-doped $TiO_2$ microcuboids were successfully prepared by a simple one-pot hydrothermal method. The samples were characterized by X-ray diffraction, scanning electron microscopy, diffuse reflectance spectroscopy, and X-ray photoelectron spectroscopy. It was found that the N-doped $TiO_2$ microcuboids enhanced absorption in the visible light region, and exhibited higher activity for photocatalytic degradation of model dyes. Based on the experimental results, a visible light induced photocatalytic mechanism was proposed for N-doped anatase $TiO_2$ microcuboids.

Sliding Mode Control of Three-Phase Four-Leg Inverters via State Feedback

  • Yang, Long-Yue;Liu, Jian-Hua;Wang, Chong-Lin;Du, Gui-Fu
    • Journal of Power Electronics
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    • 제14권5호
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    • pp.1028-1037
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    • 2014
  • To optimize controller design and improve static and dynamic performances of three-phase four-leg inverter systems, a compound control method that combines state feedback and quasi-sliding mode variable structure control is proposed. The linear coordinate change matrix and the state variable feedback equations are derived based on the mathematical model of three-phase four-leg inverters. Based on system relative degrees, sliding surfaces and quasi-sliding mode controllers are designed for converted linear systems. This control method exhibits the advantages of both state feedback and sliding mode control. The proposed controllers provide flexible dynamic control response and excellent stable control performance with chattering suppression. The feasibility of the proposed strategy is verified by conducting simulations and experiments.

Triqubit-State Measurement-Based Image Edge Detection Algorithm

  • Wang, Zhonghua;Huang, Faliang
    • Journal of Information Processing Systems
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    • 제14권6호
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    • pp.1331-1346
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    • 2018
  • Aiming at the problem that the gradient-based edge detection operators are sensitive to the noise, causing the pseudo edges, a triqubit-state measurement-based edge detection algorithm is presented in this paper. Combing the image local and global structure information, the triqubit superposition states are used to represent the pixel features, so as to locate the image edge. Our algorithm consists of three steps. Firstly, the improved partial differential method is used to smooth the defect image. Secondly, the triqubit-state is characterized by three elements of the pixel saliency, edge statistical characteristics and gray scale contrast to achieve the defect image from the gray space to the quantum space mapping. Thirdly, the edge image is outputted according to the quantum measurement, local gradient maximization and neighborhood chain code searching. Compared with other methods, the simulation experiments indicate that our algorithm has less pseudo edges and higher edge detection accuracy.

On the Application of Public Search Measures to Detect and Obtain Information

  • Kozytska, Olena;Tsilmak, Olena;Protsenko, Olena;Yankovyi, Mykola;Lysenko, Аndrii;Shulzhenko, Assol
    • International Journal of Computer Science & Network Security
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    • 제21권9호
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    • pp.109-112
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    • 2021
  • The article considers the state of legislation that regulates the use of public methods of obtaining information by authorized state bodies. The correlation of public investigative (search) actions with operative-search measures as concepts denoting the application of public methods of obtaining information has been studied. In addition, it argues the need for more detailed delineation and legislative regulation of public investigative (search) actions and operational and investigative measures at the legislative and departmental levels. The purpose of the article is to analyze certain provisions of the Law of Ukraine "On operational and investigative activities" to identify inconsistencies in the content of the text of the law in order to correct and prevent ambiguity in the theory and practice of law enforcement.

Iowa Liquor Sales Data Predictive Analysis Using Spark

  • Ankita Paul;Shuvadeep Kundu;Jongwook Woo
    • Asia pacific journal of information systems
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    • 제31권2호
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    • pp.185-196
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    • 2021
  • The paper aims to analyze and predict sales of liquor in the state of Iowa by applying machine learning algorithms to models built for prediction. We have taken recourse of Azure ML and Spark ML for our predictive analysis, which is legacy machine learning (ML) systems and Big Data ML, respectively. We have worked on the Iowa liquor sales dataset comprising of records from 2012 to 2019 in 24 columns and approximately 1.8 million rows. We have concluded by comparing the models with different algorithms applied and their accuracy in predicting the sales using both Azure ML and Spark ML. We find that the Linear Regression model has the highest precision and Decision Forest Regression has the fastest computing time with the sample data set using the legacy Azure ML systems. Decision Tree Regression model in Spark ML has the highest accuracy with the quickest computing time for the entire data set using the Big Data Spark systems.

Adaptive State-of-Charge Estimation Method for an Aeronautical Lithium-ion Battery Pack Based on a Reduced Particle-unscented Kalman Filter

  • Wang, Shun-Li;Yu, Chun-Mei;Fernandez, Carlos;Chen, Ming-Jie;Li, Gui-Lin;Liu, Xiao-Han
    • Journal of Power Electronics
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    • 제18권4호
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    • pp.1127-1139
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    • 2018
  • A reduced particle-unscented Kalman filter estimation method, along with a splice-equivalent circuit model, is proposed for the state-of-charge estimation of an aeronautical lithium-ion battery pack. The linearization treatment is not required in this method and only a few sigma data points are used, which reduce the computational requirement of state-of-charge estimation. This method also improves the estimation covariance properties by introducing the equilibrium parameter state of balance for the aeronautical lithium-ion battery pack. In addition, the estimation performance is validated by the experimental results. The proposed state-of-charge estimation method exhibits a root-mean-square error value of 1.42% and a mean error value of 4.96%. This method is insensitive to the parameter variation of the splice-equivalent circuit model, and thus, it plays an important role in the popularization and application of the aeronautical lithium-ion battery pack.

Low-Overhead Feedback Topology Design for the K-User MIMO Interference Alignment

  • Jin, Jin;Gao, Xiang-Chuan;Li, Xingwang;Cavalcante, Charles Casimiro;Li, Lihua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권11호
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    • pp.5304-5322
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    • 2018
  • Since designing a feedback topology is a practical way to implement interference alignment at reduced cost of channel state information (CSI) feedback, six feedback topologies have been presented in prior works for a K-user multiple-input multiple-output interference channel. To fully reveal the potential benefits of the feedback topology in terms of the saving of CSI overhead, we propose a new feedback topology in this paper. By efficiently performing dimensionality-decreasing at the transmitter side and aligning interference signals at a subset of receivers, we show that the proposed feedback topology obtains substantial reduction of feedback cost over the existing six feedback designs under the same antenna configuration.