Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (22,212)
  • Open Access

    ARTICLE

    Enhancing Knowledge Management and Decision-Making Capability of China’s Emergency Operations Center Using Big Data

    Yefeng Maa, Hui Zhangb

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 107-114, 2018, DOI:10.1080/10798587.2016.1267249

    Abstract Emerging communication and computing technologies such as social media, Internet of Things and big data provide great opportunities to improve information management systems for emergency operations. This paper studies the issues of information management at China’s Emergency Operations Center (EOC), and proposes a data-driven knowledge management system (KMS) to support decisionmaking, coordination, and collaboration within EOCs and with the public. In the proposed KMS, big data analytics is employed to gather and analyze information from different knowledge domains and track how a crisis evolves in physical world and in cyber space. The proposed system aims at improving situation awareness of… More >

  • Open Access

    ARTICLE

    A Hot Event Influence Scope Assessment Method in Cyber-Physical Space For Big Data Application

    Yunlan Xuea, Lingyu Xub, Jie Yub, Gaowei Zhangb

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 97-106, 2018, DOI:10.1080/10798587.2016.1267247

    Abstract The increase of scale and complexity of Internet big data presents unprecedented opportunities on Cyber-Physical Systems (CPS). The incompleteness and incredibility of Internet big data are challenging issues for confirming the event influence scope. To solve the above problem, we propose CyberPhysical Space Event Model (CPSEM) to analyze event influence in multi-viewer, which maps real data into Cyber Space (CS) and Physical Space (PS). In addition, we propose Event Influence Scope Detection Algorithm (EISDA) to detect the scope of a hot event in Cyber Space and Physical Space. More >

  • Open Access

    ARTICLE

    Public Health Emergency Management and Multi-Source Data Technology in China

    Xinzhi Wanga, Yi Liub, Hui Zhanga, Qiuju Maa, Zhidong Caoc

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 89-96, 2018, DOI:10.1080/10798587.2016.1267246

    Abstract Public health emergency is governed by the physical rules, which are related to the propagation of diseases in the physical space, and the social rules, which are related to government structures, social behaviors, and social media in cyber space. Effective preparedness and response of public health emergency is strongly related to interoperation, collaboration and cooperation among different levels of government agencies and among different regions, as well as information flow and data mining between agencies and general public. In this paper, we review the technologies using multi-source data for public health emergency in China. At the micro-level, risk analysis and… More >

  • Open Access

    ARTICLE

    Electro-Mechanical Impedance Based Position Identification of Bolt Loosening Using LibSVM

    Yuxiang Zhanga, Xin Zhanga, Jiazhao Chenb, Jianhai Yanga

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 81-88, 2018, DOI:10.1080/10798587.2016.1267245

    Abstract Bolt loosening is a common structural failure, which received extensive attention from many industrial departments. Because the uneven stress on different directions of a bolt is the common reason that the bolt becomes loose, it is quite important to carry out the research about sensitive detection of bolt loosening. Using Agilent 4924A instrument, this paper precedes the loosening test of bolts based on Electro-Mechanical Impedance (EMI), on an aluminum plate instead of flange plate for simplification. And the electromechanical admittance is given according to the fundamental equation of PiezoMaterial Lead Zirconate Titanate (PZT). Specifically, the paper first studies the detecting… More >

  • Open Access

    ARTICLE

    Analyzing and Assessing Reviews on Jd.com

    Jie Liua,b,c,d, Xiaodong Fud, Jin Liua,b,c, Yunchuan Suna,e

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 73-80, 2018, DOI:10.1080/10798587.2016.1267244

    Abstract Reviews are contents written by users to express opinions on products or services. The information contained in reviews is valuable to users who are going to make decisions on products or services. However, there are numbers of reviews for popular products, and the quality of reviews is not always good. It’s necessary to pick out reviews, which are in high quality from numbers of reviews to assist user in making decision. In this paper, we collected 21,501 reviews flagged as good from 499,253 products on JD.com. We observed the level of users is an important factor affects the quality of… More >

  • Open Access

    ARTICLE

    Building Ontology for Different Emotional Contexts and Multilingual Environment in Opinion Mining

    Wan Taoa,b, Tao Liua,b

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 65-72, 2018, DOI:10.1080/10798587.2016.1267243

    Abstract With the explosive growth of various social media applications, individuals and organizations are increasingly using their contents (e.g. reviews, forum discussions, blogs, micro-blogs, comments, and postings in social network sites) for decision-making. These contents are typical big data. Opinion mining or sentiment analysis focuses on how to extract emotional semantics from these big data to help users to get a better decision. That is not an easy task, because it faces many problems, such as different context may make the meaning of the same word change variously, at the same time multilingual environment restricts the full use of the analysis… More >

  • Open Access

    ARTICLE

    Design of a System to Generate a Four Quadrant Signal at High-Frequency

    Yichi Zhanga, Hongbin Wangb

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 55-64, 2018, DOI:10.1080/10798587.2016.1267241

    Abstract In order to research biological cells, a well-established physical method can be used, that is electrorotation. To achieve electrorotation system, a signal oscillator or a signal generator is always needed. The signal generator is used for generating signals with phase shift and transfers it to the electro chamber. The frequency range of the output signal is generally between 20 Hz to 100 MHz for the signal generator, but for high frequency range, like 100 MHz to 1 GHz, the signal generator is hard to control and the linear properties for the output signal is not good enough to do the electrorotation. So design a… More >

  • Open Access

    ARTICLE

    Meteorological Correction Model of IBIS-L System in the Slope Deformation Monitoring

    Xiaoqing Zuoa, Hongchu Yua, Chenbo Zib, Xiaokun Xub, Liqi Wangb, Haibo Liub

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 47-54, 2018, DOI:10.1080/10798587.2016.1267240

    Abstract Micro deformation monitoring system (IBIS-L) using high frequency microwave as signal for transmission, is easily affected by meteorology. How to eliminate the meteorological influence effectively, and extract useful information from the big data becomes a key to monitor the slope deformation with high precision by the IBIS-L system. Evaluation of the optimum meteorological correction mode for Slope Deformation Monitoring to ensure the accuracy of measurement is considered. This objective was realized by model construction technology, which uses calculation  formula of Microwave Refraction rate, and the radial distance from the target point to the IBIS-L system to estimate the irreal displacement by meteorological… More >

  • Open Access

    ARTICLE

    Verifiable Outsourcing of High-Degree Polynomials and Tts Application in Keyword Search

    Jun Yea, Xianlin Zhoub, Zheng Xuc, Yong Dingd

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 41-46, 2018, DOI:10.1080/10798587.2016.1267239

    Abstract In big data era, people cannot afford more and more complex computation work due to the constrained computation resources. The high reliability, strong processing capacity, large storage space of cloud computing makes the resource-constrained clients remotely operate the heavy computation task with the help of cloud server. In this paper, a new algorithm for secure outsourcing of high degree polynomials is proposed. We introduce a camouflage technique, which the real polynomial will be disguised to the untrusted cloud server. In addition, the input and output will not be revealed in the computation process and the clients can easily verify the… More >

  • Open Access

    ARTICLE

    A Complex Networked Method of Sorting Negotiation Demand Based on Answer Set Programs

    Hui Wang, Liang Li, Long-yun Gao, Wu Chen

    Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 35-40, 2018, DOI:10.1080/10798587.2016.1267238

    Abstract With the development of big data science, handling intensive knowledge in the complex network becomes more and more important. Knowledge representation of multi-agent negotiation in the complex network plays an important role in big data science. As a modern approach to declarative programming, answer set programming is widely applied in representing the multi-agent negotiation knowledge in recent years. But almost all the relevant negotiation models are based on complete rational agents, which make the negotiation process complex and low efficient. Sorting negotiation demands is the most key step in creating an efficient negotiation model to improve the negotiation ability of… More >

Displaying 14351-14360 on page 1436 of 22212. Per Page