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  • Economics  (230)
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  • 1
    Online Resource
    Online Resource
    A Novel Low-Cost Real-Time Power Measurement Platform for LoWPAN IoT Devices
    Hindawi Limited ; 2017
    In:  Mobile Information Systems Vol. 2017 ( 2017), p. 1-14
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2017 ( 2017), p. 1-14
    Abstract: With the rapid development of technology and application for Internet of Things (IoT), Low-Power Wireless Personal Area Network (LoWPAN) devices are more popularly applied. Evaluation of power efficiency is important to LoWPAN applications. Conventional method to evaluate the power efficiency of different LoWPAN devices is as follows: first measure the current of the devices under working/idle/sleep state and then make an average and estimation of the lifetime of batteries, which deeply relied on the accuracy of testing equipment and is not that accurate and with high cost. In this work, a low-cost, real-time power measurement platform called PTone is proposed, which can be used to detect the real-time power of LoWPAN devices (above 99.63%) and be able to determine the state of each module of DUT system. Based on the PTone, a novel abnormal status diagnosis mechanism is proposed. The mechanism can not only judge abnormal status but also find accurate abnormal status locating and classify abnormal status accurately. According to the method, each state of Device Under Test (DUT) during wireless transmission is estimated, different abnormal status can be classified, and thus specific location of abnormal module can be found, which will significantly shorten the development process for LoWPAN devices and thus reduce costs.
    Type of Medium: Online Resource
    ISSN: 1574-017X , 1875-905X
    URL: Article
    DOI: 10.1155/2017/8713873
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2017
    detail.hit.zdb_id: 2187808-0
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  • 2
    Online Resource
    Online Resource
    Does business strategy drive corporate environmental information disclosure?
    Informa UK Limited ; 2023
    In:  Journal of Environmental Planning and Management Vol. 66, No. 4 ( 2023-03-21), p. 733-758
    Details
    In: Journal of Environmental Planning and Management, Informa UK Limited, Vol. 66, No. 4 ( 2023-03-21), p. 733-758
    Type of Medium: Online Resource
    ISSN: 0964-0568 , 1360-0559
    URL: Article
    DOI: 10.1080/09640568.2021.2002278
    RVK:
    QA 10000
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2023
    detail.hit.zdb_id: 2000921-5
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  • 3
    Online Resource
    Online Resource
    Optimal pricing contracts and level of information asymmetry in a supply chain
    Wiley ; 2018
    In:  International Transactions in Operational Research Vol. 25, No. 5 ( 2018-09), p. 1583-1610
    Details
    In: International Transactions in Operational Research, Wiley, Vol. 25, No. 5 ( 2018-09), p. 1583-1610
    Abstract: This study considers a stylized supply chain model consisting of a dominant supplier and a buyer, in which the latter possesses superior knowledge of his private cost information. The supplier's imperfect knowledge about the buyer's cost is denoted by a subjective distribution. By assuming that the distribution is uniform, we first derive the explicit expressions of the optimal equilibrium outcomes of two contract formats offered by the supplier, the simple price‐only contract and sophisticated menu of contracts, respectively. Based on the optimal results, we continue to investigate how the supplier's expected profit varies with the level of information asymmetry, which is measured by the variance of the supplier's subjective distribution. Our findings indicate that the supplier's expected profits initially decrease and then increase as the supplier's knowledge of the buyer's cost becomes increasingly uncertain. That is, if the supplier could choose the level of information asymmetry, she would prefer a symmetric case (with the variance being zero) or a totally asymmetric case (with the variance being as high as possible). Numerical experiments demonstrate that our result still holds when we take into account such distributions as a truncated gamma and normal, and a fixed support of the distribution function instead of a moving support.
    Type of Medium: Online Resource
    ISSN: 0969-6016 , 1475-3995
    URL: Issue
    URL: Article
    DOI: 10.1111/itor.2018.25.issue-5
    DOI: 10.1111/itor.12237
    RVK:
    QA 10000
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2019815-2
    SSG: 3,2
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  • 4
    Online Resource
    Online Resource
    Feature Extraction of Museum Big Data Text Information Based on the Similarity Mapping Algorithm
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-3-9), p. 1-9
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-3-9), p. 1-9
    Abstract: Under big data, a large number of features, as well as their complex data types, make traditional feature extraction and knowledge reasoning unable to adapt to new conditions. To solve these problems, this study proposes a museum big data feature extraction method based on a similarity mapping algorithm. Under the museum big data analysis, the museum big data text information is collected through web crawler technology. The web crawler is used to index the content of websites all across the Internet so that the museum websites can appear in search engine results and the collected text information is denoised and smoothed by a Gaussian filter to construct the processed text information set mapping matrix. The semantic similarity is computed according to the text word concept. Based on the calculation results, through word frequency and document probability inverse document frequency weight, the museum big data text information features are extracted. Simulation results show that the proposed method has high accuracy and short extraction time. Through the comparative analysis, it can be realized that this method not only solves the problems existing in traditional methods but also lays a foundation for the analysis of museum massive data.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2022/9611559
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 5
    Online Resource
    Online Resource
    Distributional robustness and lateral transshipment for disaster relief logistics planning under demand ambiguity
    Wiley ; 2022
    In:  International Transactions in Operational Research
    Details
    In: International Transactions in Operational Research, Wiley
    Abstract: This paper considers facility location, inventory pre‐positioning and vehicle routing as strategic and operational decisions corresponding to preparedness and response phases in disaster relief logistics planning. For balancing surpluses and shortages, an effective lateral transshipment strategy is proposed to evenly distribute the relief resources between warehouses after the disaster occurs. To handle ambiguity in the probability distribution of demand, we develop a risk‐averse two‐stage distributionally robust optimization (DRO) model for the disaster relief logistics planning problem, which specifies the worst‐case mean‐conditional value‐at‐risk (CVaR) as a risk measure. For computationally tractability, we transform the robust counterpart into its equivalent linear mixed‐integer programming model under the discrepancy‐based ambiguity set centered at the nominal (empirical) distributions on the observed demand from the historical data. We verify the effectiveness of the proposed DRO model and the value of lateral transshipment strategy by an illustrative small‐scale example. The numerical results show that the proposed DRO model has advantage on avoiding over‐conservative solutions compared to the classic robust optimization model. We also illustrate the applicability of the proposed DRO model by a real‐world case study of hurricanes in the southeastern United States. The computational results demonstrate that the proposed DRO model has superior out‐of‐sample performance and can mitigate the adverse effects of Optimizers' Curse compared with the traditional stochastic programming model.
    Type of Medium: Online Resource
    ISSN: 0969-6016 , 1475-3995
    URL: Article
    DOI: 10.1111/itor.13227
    RVK:
    QA 10000
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2019815-2
    SSG: 3,2
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  • 6
    Online Resource
    Online Resource
    A Video Key Frame Extraction Method Based on Multiview Fusion
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-7-22), p. 1-9
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-7-22), p. 1-9
    Abstract: A massive amount of video data is stored in the real-time road monitoring system, especially in high-speed scenes. Traditional methods of video key frame extraction have the problems of large computation and long-time consumption. Thus, it is imperative to decrease the massive video data generated by monitoring and help researchers to study key frames. Aiming at the above problems, we propose an efficient key frame extraction method based on multiview fusion, where the autoencoder is used to compress the video data. Specifically, all the video frames of the video data are subjected to feature dimensionality reduction, and the features after dimensionality reduction are subjected to multiview fusion. Finally, dynamic programming and clustering are used to extract key frames. The experimental results show that the proposed method has lower computational complexity in extracting key frames, while the mutual information in the extracted key frames is large. It illustrates the reliability and efficiency of the proposed method, which provides technical support for subsequent video research.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2022/8931035
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 7
    Online Resource
    Online Resource
    Anomaly Detection for Internet of Vehicles: A Trust Management Scheme with Affinity Propagation
    Hindawi Limited ; 2016
    In:  Mobile Information Systems Vol. 2016 ( 2016), p. 1-10
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2016 ( 2016), p. 1-10
    Abstract: Anomaly detection is critical for intelligent vehicle (IV) collaboration. Forming clusters/platoons, IVs can work together to accomplish complex jobs that they are unable to perform individually. To improve security and efficiency of Internet of Vehicles, IVs’ anomaly detection has been extensively studied and a number of trust-based approaches have been proposed. However, most of these proposals either pay little attention to leader-based detection algorithm or ignore the utility of networked Roadside-Units (RSUs). In this paper, we introduce a trust-based anomaly detection scheme for IVs, where some malicious or incapable vehicles are existing on roads. The proposed scheme works by allowing IVs to detect abnormal vehicles, communicate with each other, and finally converge to some trustworthy cluster heads (CHs). Periodically, the CHs take responsibility for intracluster trust management. Moreover, the scheme is enhanced with a distributed supervising mechanism and a central reputation arbitrator to assure robustness and fairness in detecting process. The simulation results show that our scheme can achieve a low detection failure rate below 1%, demonstrating its ability to detect and filter the abnormal vehicles.
    Type of Medium: Online Resource
    ISSN: 1574-017X , 1875-905X
    URL: Article
    DOI: 10.1155/2016/5254141
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2016
    detail.hit.zdb_id: 2187808-0
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  • 8
    Online Resource
    Online Resource
    Tractable approximations for the distributionally robust conditional vertex p -center problem: Application to the location of high-speed railway emergency rescue stations
    Informa UK Limited ; 2022
    In:  Journal of the Operational Research Society Vol. 73, No. 3 ( 2022-03-04), p. 525-539
    Details
    In: Journal of the Operational Research Society, Informa UK Limited, Vol. 73, No. 3 ( 2022-03-04), p. 525-539
    Type of Medium: Online Resource
    ISSN: 0160-5682 , 1476-9360
    URL: Article
    DOI: 10.1080/01605682.2020.1843983
    RVK:
    QA 10000
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2022
    detail.hit.zdb_id: 716033-1
    detail.hit.zdb_id: 2007775-0
    SSG: 3,2
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  • 9
    Online Resource
    Online Resource
    The Rank-One Quadratic Assignment Problem
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2021
    In:  INFORMS Journal on Computing Vol. 33, No. 3 ( 2021-07), p. 979-996
    Details
    In: INFORMS Journal on Computing, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 33, No. 3 ( 2021-07), p. 979-996
    Abstract: In this paper, we study the quadratic assignment problem with a rank-one cost matrix (QAP-R1). Four integer-programming formulations are introduced of which three are assumed to have partial integer data. Unlike the standard quadratic assignment problem, some of our formulations can solve reasonably large instances of QAP-R1 with impressive running times and are faster than some metaheuristics. Pairwise relative strength of the LP relaxations of these formulations are also analyzed from theoretical and experimental points of view. Finally, we present a new metaheuristic algorithm to solve QAP-R1 along with its computational analysis. Our study offers the first systematic experimental analysis of integer-programming models and heuristics for QAP-R1. The benchmark instances with various characteristics generated for our study are made available to the public for future research work. Some new polynomially solvable special cases are also introduced. Summary of Contribution: This paper aims to advance our knowledge and ability in solving an important special case of the quadratic assignment problem. It shows how to exploit inherent properties of an optimization problem to achieve computational advantages, a strategy that was followed by researchers in model building and algorithm developments for decades. Our computational results attest to this time-tested general philosophy. The paper presents the first systematic computational study of the rank one quadratic assignment problem, along with new mathematical programming models and complexity analysis. We believe the theoretical and computational results of this paper will inspire further research on the topic and will be of significant value to practitioners using rank one quadratic assignment models.
    Type of Medium: Online Resource
    ISSN: 1091-9856 , 1526-5528
    URL: Article
    DOI: 10.1287/ijoc.2020.1003
    RVK:
    QA 10000
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2021
    detail.hit.zdb_id: 2070411-2
    detail.hit.zdb_id: 2004082-9
    SSG: 3,2
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  • 10
    Online Resource
    Online Resource
    Lay Rationalism: Individual Differences in using Reason versus Feelings to Guide Decisions
    SAGE Publications ; 2015
    In:  Journal of Marketing Research Vol. 52, No. 1 ( 2015-02), p. 134-146
    Details
    In: Journal of Marketing Research, SAGE Publications, Vol. 52, No. 1 ( 2015-02), p. 134-146
    Abstract: People have a lay notion of rationality—that is, the notion of using reason rather than feelings to guide decisions. Yet people differ in the degree to which they actually base their decisions on reason versus feelings. This individual difference variable is potentially general and important but is largely overlooked. The present research (1) introduces the construct of lay rationalism to capture this individual difference variable and distinguishes it from other individual difference variables; (2) develops a short, easy-to-implement scale to measure lay rationalism and demonstrates the validity and reliability of the scale; and (3) shows that lay rationalism, as measured by the scale, can predict a variety of consumer-relevant behaviors, including product preferences, savings decisions, and donation behaviors.
    Type of Medium: Online Resource
    ISSN: 0022-2437 , 1547-7193
    URL: Article
    DOI: 10.1509/jmr.13.0532
    RVK:
    QA 10000
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2066604-4
    detail.hit.zdb_id: 218319-5
    SSG: 3,2
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