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Article
Publication date: 3 December 2018

Zhaojie Xue, Shuqing Cheng, Mingzhu Yu and Liang Zou

This paper aims to study the pricing problems on the two-sided market for cases of monopoly and duopoly competition, specifically investigating the impact of platform…

Abstract

Purpose

This paper aims to study the pricing problems on the two-sided market for cases of monopoly and duopoly competition, specifically investigating the impact of platform service quality on the market. Theoretical analysis and computational studies are conducted to investigate the impact of different parameters on the system outcomes.

Design/methodology/approach

Mathematical formulations are proposed for cases of monopoly and duopoly competition. For monopolistic market, the optimal pricing and service quality strategies are obtained using mathematical programming method. For duopolistic market, the equilibrium outcomes are derived by game theory. Sensitivity analysis and numerical studies are also adopted to investigate the impact of different parameters.

Findings

For monopolistic market, the platform will provide a low service quality when the service cost parameter is large. However, when the cost parameter is small, the platform provides a higher service quality and higher registration prices. Furthermore, the sum of the optimal prices is proportional to the service quality and inversely proportional to the user price sensitivity. For duopolistic market, the competitive equilibrium prices exist under a certain condition. The determinants of equilibrium prices are the gap between the service qualities of two platforms and the cross-group externalities.

Originality/value

For monopolistic market, this paper specifies the role of platform service quality in determining the platform’s pricing strategy. For duopolistic market, this paper presents a market sharing mechanism between two platforms and explores the equilibrium pricing strategies for platforms with different service quality level.

Details

Kybernetes, vol. 48 no. 8
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 3 April 2009

Yuan Hong Liang, Guo ChangGuo and Zou Peng

The publish/subscribe paradigm is useful for content diffusion in the internet. The purpose of this paper is to propose subscription covering to reduce the size of…

Abstract

Purpose

The publish/subscribe paradigm is useful for content diffusion in the internet. The purpose of this paper is to propose subscription covering to reduce the size of routeing table and notification matching time.

Design/methodology/approach

The paper proposes a necessary and sufficient condition of correct routeing table configuration when using SSCBR algorithm.

Findings

Experiments show that both SSCBR and RSCBR can reduce the size of routeing table, network traffic and time.

Research limitations/implications

All these experiments are based on high speed wireline network. For wireless network, the results may be different.

Originality/value

The paper proposes a necessary and sufficient condition of correct routeing table configuration when using SSCBR algorithm and can easily validate the correctness of brokers' routeing table through it. Because RSCBR calculates less subscription covering relation, its performance in network traffic and average notification processing time may be better than SSCBR in certain scenarios.

Details

International Journal of Pervasive Computing and Communications, vol. 5 no. 1
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 26 September 2008

Zhuang Fu, Liang Zou, Yuexin Wu, Peibo Li and Yanzheng Zhao

This paper aims to propose an automatic coating and fastening robot (ACFR) of space solar module (SSM) to solar panel substrate.

Abstract

Purpose

This paper aims to propose an automatic coating and fastening robot (ACFR) of space solar module (SSM) to solar panel substrate.

Design/methodology/approach

Describes the detailed manufacturing process of space solar cell arrays (SSCA), and gives an ACFR for SSM. Designs an automatic coating and fastening mechanism and a control system. Furthermore, establishes the “zigzag”, the “umbrella” and the Voronoi‐based “ring” path models of the coating path using syringes.

Findings

The robot is effective for the bubble‐free manufacture of SSCA in nonvacuum environment. The robot with three coating path models can control the thickness of adhesive layer on the back of SSM, and the fastening force to the solar panel substrate with high productivity. The experimental results have proved the validity of this robot in the SSCA's manufacture.

Practical implications

The robot as a novel industrial equipment can improve the product quality and the reliability of SSCA to a certain extent.

Originality/value

The robot has potential applications in the SSCA assembly. It will change the traditional handworking status in the future.

Details

Assembly Automation, vol. 28 no. 4
Type: Research Article
ISSN: 0144-5154

Keywords

Book part
Publication date: 30 August 2019

Timothy Cogley and Richard Startz

Standard estimation of ARMA models in which the AR and MA roots nearly cancel, so that individual coefficients are only weakly identified, often produces inferential…

Abstract

Standard estimation of ARMA models in which the AR and MA roots nearly cancel, so that individual coefficients are only weakly identified, often produces inferential ranges for individual coefficients that give a spurious appearance of accuracy. We remedy this problem with a model that uses a simple mixture prior. The posterior mixing probability is derived using Bayesian methods, but we show that the method works well in both Bayesian and frequentist setups. In particular, we show that our mixture procedure weights standard results heavily when given data from a well-identified ARMA model (which does not exhibit near root cancellation) and weights heavily an uninformative inferential region when given data from a weakly-identified ARMA model (with near root cancellation). When our procedure is applied to a well-identified process the investigator gets the “usual results,” so there is no important statistical cost to using our procedure. On the other hand, when our procedure is applied to a weakly identified process, the investigator learns that the data tell us little about the parameters – and is thus protected against making spurious inferences. We recommend that mixture models be computed routinely when inference about ARMA coefficients is of interest.

Details

Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A
Type: Book
ISBN: 978-1-78973-241-2

Keywords

Article
Publication date: 1 September 2016

G. M. Han and X. Q. Deng

Color is the dominant element of visual communication design. For cities, color is one of their characteristics. Improving the overall style of a city through the control…

Abstract

Color is the dominant element of visual communication design. For cities, color is one of their characteristics. Improving the overall style of a city through the control and planning of architectural color has been a hot issue in urban control and planning in recent years. Considering color pollution in urban planning, we analyze the important role of color in visual communication design from the perspective of the visual communication concept of media art. The current situation of residential building colors in Shanghai City is investigated. We determine the residents’ preferences and requirements related to architectural exterior color on the basis of a data analysis of color and material selection, color matching, composition, and others. This study changes the traditional architectural color design concept that centers on individuals and lacks overall control. Specifically, we construct a set of multi-scale color controlling and planning systems at the macro-, meso-, and micro-scales. We also guide and control the urban architectural color such that it is in accordance with the systematic color planning strategy. This method enables the systematic and holistic external color planning of urban residential buildings.

Details

Open House International, vol. 41 no. 3
Type: Research Article
ISSN: 0168-2601

Keywords

Article
Publication date: 17 March 2021

Eslam Mohammed Abdelkader

Cracks on surface are often identified as one of the early indications of damage and possible future catastrophic structural failure. Thus, detection of cracks is vital…

Abstract

Purpose

Cracks on surface are often identified as one of the early indications of damage and possible future catastrophic structural failure. Thus, detection of cracks is vital for the timely inspection, health diagnosis and maintenance of infrastructures. However, conventional visual inspection-based methods are criticized for being subjective, greatly affected by inspector's expertise, labor-intensive and time-consuming.

Design/methodology/approach

This paper proposes a novel self-adaptive-based method for automated and semantic crack detection and recognition in various infrastructures using computer vision technologies. The developed method is envisioned on three main models that are structured to circumvent the shortcomings of visual inspection in detection of cracks in walls, pavement and deck. The first model deploys modified visual geometry group network (VGG19) for extraction of global contextual and local deep learning features in an attempt to alleviate the drawbacks of hand-crafted features. The second model is conceptualized on the integration of K-nearest neighbors (KNN) and differential evolution (DE) algorithm for the automated optimization of its structure. The third model is designated for validating the developed method through an extensive four layers of performance evaluation and statistical comparisons.

Findings

It was observed that the developed method significantly outperformed other crack and detection models. For instance, the developed wall crack detection method accomplished overall accuracy, F-measure, Kappa coefficient, area under the curve, balanced accuracy, Matthew's correlation coefficient and Youden's index of 99.62%, 99.16%, 0.998, 0.998, 99.17%, 0.989 and 0.983, respectively.

Originality/value

Literature review lacks an efficient method which can look at crack detection and recognition of an ensemble of infrastructures. Furthermore, there is absence of systematic and detailed comparisons between crack detection and recognition models.

Details

Smart and Sustainable Built Environment, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2046-6099

Keywords

Article
Publication date: 2 June 2022

Onur Ozsoy and Muzaffarjon Ahunov

This paper aims to scrutinize the value of houses explained by their location in Central Asia’s largest city – Tashkent, the capital of Uzbekistan. The city was completely…

Abstract

Purpose

This paper aims to scrutinize the value of houses explained by their location in Central Asia’s largest city – Tashkent, the capital of Uzbekistan. The city was completely rebuilt after a devastating earthquake of 1961 and since the country was under the centrally planned regime, houses followed a common standard and style. This allows minimizing the error from omitting possible intrinsic characteristics in a hedonic model, while measuring the impact of location on housing values.

Design/methodology/approach

This study uses unique data on housing values and characteristics harvested from classified adverts. This study deliberately focused on data between 2013 and 2016, when Uzbekistan was characterized as hesitant in economic reforms. Therefore, residential buildings constructed during the Former Soviet Union dominated all parts of the city in the analysis period. The results are based on the hedonic pricing model.

Findings

The results suggest that locational characteristics are relatively more important than intrinsic characteristics. This study finds that proximity to the city center and access to subway stations significantly increase housing values. The opposite is true for the case of proximity to a wastewater treatment plant. Surprisingly, on the contrary to the authors’ expectations access to a park has no economically significant impact on housing values. The results, therefore, call for an integrated approach for city planning.

Originality/value

The first and most important contribution of this study to the field of housing economics is that it is the first study done for Uzbekistan, the most populated Central Asian country, and it is a case study for other Central Asian countries. The second contribution of the study is that, after a long and meticulous study, the determinants of housing prices were analyzed by taking into account all possible intrinsic and extrinsic properties of houses with the similar characteristics, over a unique data set created from approximately 18,000 observations from classified pages of a major newspaper published every Thursday in Tashkent City. The final contribution of the study is that it offers new perspectives and policy recommendations to the housing market actors in Uzbekistan.

Details

International Journal of Housing Markets and Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 11 May 2015

Jie Ke

This paper reports the first part of a recent interview with Dr Bor-Shiuan Cheng on his values, beliefs or thoughts on how to lead a fulfilling life as a person and a…

127

Abstract

Purpose

This paper reports the first part of a recent interview with Dr Bor-Shiuan Cheng on his values, beliefs or thoughts on how to lead a fulfilling life as a person and a researcher.

Design/methodology/approach

This paper is based on a recent interview with Dr Bor-Shiuan Cheng.

Findings

Life is a journey of discovering our purpose and fulfilling our own destiny. Once Dr Cheng decided his career direction after trying out different alternatives, he sticks to it and makes the best out of it. His choice of majoring in psychology became a basis for the contributions to Chinese management research.

Research limitations/implications

Dr Cheng’s life and career paths showcased a successful scholar who keeps doing one thing in his life, being himself, being focused and persistent. His experience may inspire and encourage junior scholars for career development.

Originality/value

The interview presents the life and career paths of Dr Cheng, who has chosen to take a road less traveled and enjoyed different views along the road.

Details

Journal of Chinese Human Resource Management, vol. 6 no. 1
Type: Research Article
ISSN: 2040-8005

Keywords

Article
Publication date: 9 November 2021

Faris Elghaish, Sandra T. Matarneh, Saeed Talebi, Soliman Abu-Samra, Ghazal Salimi and Christopher Rausch

The massive number of pavements and buildings coupled with the limited inspection resources, both monetary and human, to detect distresses and recommend maintenance…

Abstract

Purpose

The massive number of pavements and buildings coupled with the limited inspection resources, both monetary and human, to detect distresses and recommend maintenance actions lead to rapid deterioration, decreased service life, lower level of service and increased community disruption. Therefore, this paper aims at providing a state-of-the-art review of the literature with respect to deep learning techniques for detecting distress in both pavements and buildings; research advancements per asset/structure type; and future recommendations in deep learning applications for distress detection.

Design/methodology/approach

A critical analysis was conducted on 181 papers of deep learning-based cracks detection. A structured analysis was adopted so that major articles were analyzed according to their focus of study, used methods, findings and limitations.

Findings

The utilization of deep learning to detect pavement cracks is advanced compared to assess and evaluate the structural health of buildings. There is a need for studies that compare different convolutional neural network models to foster the development of an integrated solution that considers the data collection method. Further research is required to examine the setup, implementation and running costs, frequency of capturing data and deep learning tool. In conclusion, the future of applying deep learning algorithms in lieu of manual inspection for detecting distresses has shown promising results.

Practical implications

The availability of previous research and the required improvements in the proposed computational tools and models (e.g. artificial intelligence, deep learning, etc.) are triggering researchers and practitioners to enhance the distresses’ inspection process and make better use of their limited resources.

Originality/value

A critical and structured analysis of deep learning-based crack detection for pavement and buildings is conducted for the first time to enable novice researchers to highlight the knowledge gap in each article, as well as building a knowledge base from the findings of other research to support developing future workable solutions.

Details

Construction Innovation , vol. 22 no. 3
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 5 November 2020

Dan Wu and Fei Yu

Abstract

Details

Library Hi Tech, vol. 38 no. 4
Type: Research Article
ISSN: 0737-8831

1 – 10 of 651