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  • 1
    Online Resource
    Online Resource
    Swing Angle Error Compensation of a Computer Numerical Control Machining Center for Special-Shaped Rocks
    International Information and Engineering Technology Association ; 2020
    In:  Journal Européen des Systèmes Automatisés Vol. 53, No. 3 ( 2020-7-31), p. 369-375
    Details
    In: Journal Européen des Systèmes Automatisés, International Information and Engineering Technology Association, Vol. 53, No. 3 ( 2020-7-31), p. 369-375
    Type of Medium: Online Resource
    ISSN: 1269-6935 , 2116-7087
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.18280/jesa.5303
    DOI: 10.18280/jesa
    DOI: 10.18280/jesa.530307
    RVK:
    QA 10000
    Language: Unknown
    Publisher: International Information and Engineering Technology Association
    Publication Date: 2020
    detail.hit.zdb_id: 2390481-1
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  • 2
    Online Resource
    Online Resource
    Two Backorder Compensation Mechanisms in Inventory Systems with Impatient Customers
    Wiley ; 2015
    In:  Production and Operations Management Vol. 24, No. 10 ( 2015-10), p. 1640-1656
    Details
    In: Production and Operations Management, Wiley, Vol. 24, No. 10 ( 2015-10), p. 1640-1656
    Abstract: We study a compensation mechanism design problem with customer‐choice behavior in a continuous review setting where the production and demand processes are stochastic. When a stockout occurs, the firm controls backorders on the basis of certain compensation policies. Customers make decisions to maximize their utility, which is decreasing in the price, the waiting time, and the customer's impatience factor. We assume that the impatience factor is private information held by the customer only. Two compensation mechanisms are designed to control backorders, namely uniform compensation and priority auction with an admission price. Under uniform compensation, the firm offers the same discount to all customers, whereas under auction compensation, priority is granted according to the customers' bid prices. We obtain the optimal stockout price and base stock level under each mechanism, and analyze the properties of the respective optimal policies. Assuming linear waiting costs with uniformly distributed impatience factor, we find that the auction mechanism (1) maintains a lower base stock level and results in greater profit and (2) benefits customers with relatively lower or higher impatience factors, but customers with a medium impatience factor may be rendered worse off. We further show that both compensation mechanisms are suitable for products with a high unit profit, a high lost sales penalty cost, and a high holding cost.
    Type of Medium: Online Resource
    ISSN: 1059-1478 , 1937-5956
    URL: Issue
    URL: Article
    DOI: 10.1111/poms.2015.24.issue-10
    DOI: 10.1111/poms.12360
    RVK:
    QA 10000
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 2151364-8
    detail.hit.zdb_id: 1108460-1
    SSG: 3,2
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  • 3
    Online Resource
    Online Resource
    Relational norms and collaborative activities: Roles in reducing opportunism in marketing channels
    Elsevier BV ; 2015
    In:  Industrial Marketing Management Vol. 46 ( 2015-04), p. 147-159
    Details
    In: Industrial Marketing Management, Elsevier BV, Vol. 46 ( 2015-04), p. 147-159
    Type of Medium: Online Resource
    ISSN: 0019-8501
    URL: Article
    DOI: 10.1016/j.indmarman.2015.01.014
    RVK:
    QA 10000
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2015
    detail.hit.zdb_id: 120124-4
    detail.hit.zdb_id: 2012747-9
    SSG: 3,2
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  • 4
    Online Resource
    Online Resource
    FINANCIAL CRISIS, RISK PERCEPTION AND THE IMPLIED VOLATILITY TRANSMISSION: A CROSS‐REGION STUDY*
    Wiley ; 2012
    In:  The Manchester School Vol. 80, No. s1 ( 2012-09), p. 92-120
    Details
    In: The Manchester School, Wiley, Vol. 80, No. s1 ( 2012-09), p. 92-120
    Abstract: This study uses the newly released Hang Seng Volatility Index (VHSI) data set to explore differences of the risk perception between the US and Hong Kong (HK) financial markets as well as the direct sentiment spillover effects across the regions. Results show no fear or exuberance in HK market while significant fear in the USA when the market closes losses two days in a row. Cross‐market evidence indicates the existence of fear in the HK market is completely imported from the USA. Direct implied volatility flows one way from USA to HK at first but shows reversal after the financial crisis.
    Type of Medium: Online Resource
    ISSN: 1463-6786 , 1467-9957
    URL: Issue
    URL: Article
    DOI: 10.1111/manc.2012.80.issue-s1
    DOI: 10.1111/j.1467-9957.2012.02322.x
    RVK:
    QA 10000
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 1418920-3
    detail.hit.zdb_id: 1473781-4
    SSG: 3,4
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  • 5
    Online Resource
    Online Resource
    User Experience Perception Algorithm for Long and Short Videos Based on Multiple Nonlinear Regression
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-9-26), p. 1-12
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-9-26), p. 1-12
    Abstract: The low correlation of evaluation indices from the current user perception evaluation model and the neglect of the nonlinear relationship between diversified indices and user experience in different duration videos result in low user perception accuracy of long and short videos. To address these issues, we propose a user experience perception algorithm for long and short videos based on multiple nonlinear regression (LSMNR). First, to improve the efficiency and accuracy of modeling, the algorithm involves preprocessing of video data in edge servers and subdivides the videos based on their duration and popularity. Then, we introduce a new multidimensional quantitative evaluation index that fits the user’s subjective experience and further analyze the influence between multiple evaluation indices (video lag, black screen, etc.) and user quality of experience (QoE) for different video types. Moreover, the characteristics of the data in the multiple evaluation indices are extracted; user subjective evaluation experiments are designed using the video quality expert group (VQEG) standard; and sample and test databases were established. Finally, the optimal model parameters were trained by applying the nonlinear least square method and support vector machine (SVM) to fit and cross-verify the sample data. Our simulation results revealed that the Pearson correlation coefficient of the proposed LSMNR algorithm acquires a value of 0.9810. Compared with algorithms based on multinomial linear regression (MLR), linear SVM, and neural network (NN), the perceptual accuracy of the proposed algorithm is improved by at least 4.0%, and it is applicable to a wider range of video types.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2022/4938058
    RVK:
    QA 10000
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2187808-0
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  • 6
    Online Resource
    Online Resource
    Mobile Music Recognition based on Deep Neural Network
    Hindawi Limited ; 2022
    In:  Mobile Information Systems Vol. 2022 ( 2022-6-22), p. 1-8
    Details
    In: Mobile Information Systems, Hindawi Limited, Vol. 2022 ( 2022-6-22), p. 1-8
    Abstract: The piano, as the king of playing instruments, is the most popular instrument for people to learn to play. Learning to play the piano, on the other hand, necessitates professional instruction and a lot of practice. People do not have enough time for systematic training because of the fast pace of life. At the same time, a lack of professional piano teachers and high tuition fees discourage piano students. If the computer can recognize and evaluate the learner’s piano music in real time, the learner will be able to identify and correct errors in real time. There are currently some music recognition technologies, but the majority of them have the following flaws: first and foremost, the recognition accuracy is poor. Second, the identification process is slow and not real-time. Based on the existing problems, this paper proposes a mobile-based music recognition method. The main work of this paper is as follows: (1) a deep neural network (DNN) is applied to the recognition of piano playing music. The use of deep learning models improves the accuracy of music recognition. (2) In order to make the identification of music easier to use, a mobile application is developed in this paper. The app can be installed on mobile phones and tablets. It can input songs in real-time or offline, outputting misplayed notes and scoring the entire composition. In order to evaluate the effect of this study on music recognition, the experimental part uses multiple models for comparison. The experimental results show that the research in this paper is feasible and effective.
    Type of Medium: Online Resource
    ISSN: 1875-905X , 1574-017X
    URL: Article
    DOI: 10.1155/2022/2541933
    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
    A dynamic model of crisis management from a stakeholder perspective: the case of COVID-19 in China
    Emerald ; 2021
    In:  Tourism Review Vol. 76, No. 4 ( 2021-07-27), p. 764-787
    Details
    In: Tourism Review, Emerald, Vol. 76, No. 4 ( 2021-07-27), p. 764-787
    Abstract: En este estudio se recogieron datos cuantitativos de 731 fuentes textuales, se identificaron los elementos constitutivos del modelo de gestión de crisis a través de la minería textual y se analizaron en profundidad los elementos constitutivos mediante el análisis de contenido. Diseño/método/enfoque este estudio utiliza una combinación de minería de texto y análisis de contenido para explorar el manejo de crisis del brote de covid-19 en el sector turístico y hotelero de China. En primer lugar, se recogieron datos cuantitativos de 731 fuentes textuales y se identificaron los elementos constitutivos del modelo de gestión de crisis a través de la minería textual. En segundo lugar, se utiliza el análisis de contenido para analizar en profundidad los elementos constitutivos y, sobre la base de UN análisis de datos exhaustivo y una revisión de la literatura, se llega a UN marco teórico para el manejo de crisis. Encontró Desde el punto de vista de las partes interesadas, el modelo consta de seis elementos: el entorno político, el entorno económico, el entorno tecnológico, el entorno social, la ciencia de la salud y las relaciones internacionales. Estos elementos están estrechamente relacionados con los cuatro procedimientos operativos: prevención, retroalimentación, recuperación y adaptación. Los dos principales hallazgos de este estudio son los mecanismos dinámicos y las características de superposición de los mecanismos de prevención de epidemias, y el aprendizaje y la preparación a lo largo de todo el proceso dinámico de prevención y control de brotes. Significado práctico las partes interesadas del sector hotelero deben colaborar bajo la guía de UN modelo dinámico de gestión de crisis y utilizar la alta tecnología para la gestión de la recuperación del sector. Además, el desarrollo de nuevos modelos de negocio y estrategias de marketing es también una forma eficaz de afrontar el nuevo entorno externo. Originalidad/valor este artículo colma las lagunas de la investigación existente proponiendo UN modelo de gestión de crisis relacionadas con la salud que pueda ser utilizado para evaluar procesos dinámicos de colaboración entre los interesados en el entorno externo del sector hotelero.
    Type of Medium: Online Resource
    ISSN: 1660-5373 , 1660-5373
    URL: Article
    DOI: 10.1108/TR-09-2020-0413
    RVK:
    QA 10000
    Language: English
    Publisher: Emerald
    Publication Date: 2021
    detail.hit.zdb_id: 2412174-5
    SSG: 3,2
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  • 8
    Online Resource
    Online Resource
    Implications of Data Anonymization on the Statistical Evidence of Disparity
    Institute for Operations Research and the Management Sciences (INFORMS) ; 2022
    In:  Management Science Vol. 68, No. 4 ( 2022-04), p. 2600-2618
    Details
    In: Management Science, Institute for Operations Research and the Management Sciences (INFORMS), Vol. 68, No. 4 ( 2022-04), p. 2600-2618
    Abstract: Research and practical development of data-anonymization techniques have proliferated in recent years. Yet, limited attention has been paid to examine the potentially disparate impact of privacy protection on underprivileged subpopulations. This study is one of the first attempts to examine the extent to which data anonymization could mask the gross statistical disparities between subpopulations in the data. We first describe two common mechanisms of data anonymization and two prevalent types of statistical evidence for disparity. Then, we develop conceptual foundation and mathematical formalism demonstrating that the two data-anonymization mechanisms have distinctive impacts on the identifiability of disparity, which also varies based on its statistical operationalization. After validating our findings with empirical evidence, we discuss the business and policy implications, highlighting the need for firms and policy makers to balance between the protection of privacy and the recognition/rectification of disparate impact. This paper was accepted by Chris Forman, information systems.
    Type of Medium: Online Resource
    ISSN: 0025-1909 , 1526-5501
    URL: Article
    DOI: 10.1287/mnsc.2021.4028
    RVK:
    QP 300
    Language: English
    Publisher: Institute for Operations Research and the Management Sciences (INFORMS)
    Publication Date: 2022
    detail.hit.zdb_id: 206345-1
    detail.hit.zdb_id: 2023019-9
    SSG: 3,2
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  • 9
    Online Resource
    Online Resource
    Foreign Ownership and Real Earnings Management: Evidence from Japan
    American Accounting Association ; 2015
    In:  Journal of International Accounting Research Vol. 14, No. 2 ( 2015-09-01), p. 185-213
    Details
    In: Journal of International Accounting Research, American Accounting Association, Vol. 14, No. 2 ( 2015-09-01), p. 185-213
    Abstract: Studying a sample of Japanese firms, we examine whether foreign investors exert a significant influence on earnings management through manipulation of real activities. We find that foreign investors play an independent role in restraining real earnings management, as captured by abnormal cash flow from operations, abnormal discretionary expenses, abnormal production costs, or a composite of the aforementioned three measures. These results are robust to a variety of controls, including economic fundamentals, domestic blockholdings, governance mechanisms, and endogeneity of foreign ownership. Our findings indicate that sophisticated foreign investors, with relatively few business ties to local management, improve the accounting oversight of local firms by curbing earnings manipulation via operating activities. Collectively, our evidence suggests that one potential benefit of capital market globalization is less real earnings management in particular and higher earnings quality in general. JEL Classifications: M41; F23; G32.
    Type of Medium: Online Resource
    ISSN: 1558-8025 , 1542-6297
    URL: Article
    DOI: 10.2308/jiar-51274
    RVK:
    QA 10000
    Language: English
    Publisher: American Accounting Association
    Publication Date: 2015
    detail.hit.zdb_id: 2115967-1
    SSG: 3,2
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  • 10
    Online Resource
    Online Resource
    Chinese consumer responses to carbon labeling: evidence from experimental auctions
    Informa UK Limited ; 2018
    In:  Journal of Environmental Planning and Management Vol. 61, No. 13 ( 2018-11-10), p. 2319-2337
    Details
    In: Journal of Environmental Planning and Management, Informa UK Limited, Vol. 61, No. 13 ( 2018-11-10), p. 2319-2337
    Type of Medium: Online Resource
    ISSN: 0964-0568 , 1360-0559
    URL: Article
    DOI: 10.1080/09640568.2017.1394276
    RVK:
    QA 10000
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2018
    detail.hit.zdb_id: 2000921-5
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