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Article
Publication date: 5 June 2017

Xiaoyu Li, Osamu Yoshie and Daoping Huang

The purpose of this paper is to detect the existence of unknown wireless devices which could result negative means to the privacy. The perceptual layer of internet of…

Abstract

Purpose

The purpose of this paper is to detect the existence of unknown wireless devices which could result negative means to the privacy. The perceptual layer of internet of things (IoTs) suffers the most significant privacy disclosing because of limited hardware resources, huge quantity and wide varieties of sensing equipment. Determining whether there are unknown wireless devices in the communicating environment is an effective method to implement the privacy protection for the perceptual layer of IoTs.

Design/methodology/approach

The authors use horizontal hierarchy slicing (HHS) algorithm to extract the morphology feature of signals. Meanwhile, partitioning around medoids algorithm is used to cluster the HHS curves and agglomerative hierarchical clustering algorithm is utilized to distinguish final results. Link quality indicator (LQI) data are chosen as the network parameters in this research.

Findings

Nowadays data encryption and anonymization are the most common methods to protect private information for the perceptual layer of IoTs. However, these efforts are ineffective to avoid privacy disclosure if the communication environment exists unknown wireless nodes which could be malicious devices. How to detect these unknown wireless devices in the communication environment is a valuable topic in the further research.

Originality/value

The authors derive an innovative and passive unknown wireless devices detection method based on the mathematical morphology and machine learning algorithms to detect the existence of unknown wireless devices which could result negative means to the privacy. The simulation results show their effectiveness in privacy protection.

Details

International Journal of Pervasive Computing and Communications, vol. 13 no. 2
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 4 April 2016

Xiaoyu Yu, Bang Nguyen and Yi Chen

The purpose of this paper is to examine the role of capability and alliance arising from the internet of things (IoT), specifically in the relationships between strategic…

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Abstract

Purpose

The purpose of this paper is to examine the role of capability and alliance arising from the internet of things (IoT), specifically in the relationships between strategic orientations (entrepreneurial and market foci) with product and process innovations. In addition, it investigates the direct relationship between IoT capability and alliance. Improving these relationships assist in ensuring that new knowledge from the IoT can be translated into tangible business innovations that contribute to economic development.

Design/methodology/approach

Data from 207 new high-technology IoT ventures in China were obtained after three-wave mailing (i.e. two reminders). Following a rigorous process to purify and validate the measurement scale items, the study used structural equation modeling to test the conceptual model.

Findings

Findings demonstrate that an IoT capability only enhances product innovation, however, with the addition and support from IoT alliance, both product and process innovation can be achieved in new high-tech IoT ventures. This nuanced insight suggests that new high-tech IoT ventures should focus on building their IoT capability, and at the same time, develop IoT alliances with value chain partners in order to fully take advantage of IoT and gain a better position to formulate more novel offerings.

Originality/value

The study is first to contribute with a much needed framework of IoT and entrepreneurship by examining the role of IoT capability further in the relationships between: entrepreneurial orientation and market orientation with product and process innovations arising from IoT; and the role of IoT alliance (interfirm relations, partnerships, etc.) on the relationship above.

Details

Internet Research, vol. 26 no. 2
Type: Research Article
ISSN: 1066-2243

Keywords

Article
Publication date: 1 October 2005

Jingjun Liu, Yuzhen Lin and Xiaoyu Li

To study flow‐induced corrosion mechanisms for carbon steel in high velocity flowing seawater and explain corrosive phenomena.

Abstract

Purpose

To study flow‐induced corrosion mechanisms for carbon steel in high velocity flowing seawater and explain corrosive phenomena.

Design/methodology/approach

An overall mathematical model for flow‐induced corrosion of carbon steel in high velocity flow seawater was established in rotating disk apparatus using both numerical simulation and test methods. By studying the impact of turbulent flow using the kinetic energy of turbulent approach and the effects of the computational near‐wall hydrodynamic parameters on corrosion rates, corrosion behaviour and mechanism are discussed here. It is applicable to deeply understand the synergistic effect mechanism of flow‐induced corrosion.

Findings

It is scientific and reasonable to investigate carbon steel corrosion through correlation of the near‐wall hydrodynamic parameters, which can accurately describe the influence of fluid flow on corrosion. The computational corrosion rates obtained by this model are in agreement with measured corrosion data. It is shown that serious flow‐induced corrosion is caused by the synergistic effect between corrosion electrochemical factor and hydrodynamic factor. While corrosion electrochemical factor plays a dominant role in flow‐induced corrosion.

Originality/value

The corrosion kinetics and mechanism of metals in high velocity flowing medium is discussed in this paper. These results will help someone who is interested in flow‐induced corrosion to understand in depth the type of issue.

Details

Anti-Corrosion Methods and Materials, vol. 52 no. 5
Type: Research Article
ISSN: 0003-5599

Keywords

Article
Publication date: 21 March 2008

Liu Jingjun, Lin Yuzhen and Li Xiaoyu

This paper aims to study flow‐induced corrosion mechanisms for carbon steel in high‐velocity flowing seawater and to explain corrosive phenomena.

Abstract

Purpose

This paper aims to study flow‐induced corrosion mechanisms for carbon steel in high‐velocity flowing seawater and to explain corrosive phenomena.

Design/methodology/approach

An overall mathematical model for flow‐induced corrosion of carbon steel in high‐velocity flow seawater was established in a rotating disk apparatus using both numerical simulation and test methods. By studying the impact of turbulent flow using the kinetic energy of a turbulent approach and the effects of the computational near‐wall hydrodynamic parameters on corrosion rates, corrosion behavior and mechanism are discussed here. It is applicable in order to understand in depth the synergistic effect mechanism of flow‐induced corrosion.

Findings

It was found that it is scientific and reasonable to investigate carbon steel corrosion through correlation of the near‐wall hydrodynamic parameters, which can accurately describe the influence of fluid flow on corrosion. The computational corrosion rates obtained by this model are in good agreement with measured corrosion data. It is shown that serious flow‐induced corrosion is caused by the synergistic effect between the corrosion electrochemical factor and the hydrodynamic factor, while the corrosion electrochemical factor plays a dominant role in flow‐induced corrosion.

Originality/value

The corrosion kinetics and mechanism of metals in a high‐velocity flowing medium is discussed here. These results will help those interested in flow‐induced corrosion to understand in depth the type of issue.

Details

Anti-Corrosion Methods and Materials, vol. 55 no. 2
Type: Research Article
ISSN: 0003-5599

Keywords

Article
Publication date: 3 March 2021

Wilson Kia Onn Wong

This paper analyses the escalating Sino-Western race to develop a safe, efficacious and durable vaccine (i.e. “Goldilocks COVID-19 vaccine”). It argues that such efforts…

Abstract

Purpose

This paper analyses the escalating Sino-Western race to develop a safe, efficacious and durable vaccine (i.e. “Goldilocks COVID-19 vaccine”). It argues that such efforts would be considerably more effective if there is greater international cooperation instead of the corrosive rivalry driven by misplaced nationalism.

Design/methodology/approach

This study deploys a case-study approach, supported by literature on existing coronavirus disease 2019 (COVID-19) vaccine development efforts.

Findings

Despite the seeming success of recent COVID-19 vaccines, their actual efficacy is far from certain. Moreover, access to these vaccines would not be equitable internationally. This problem is exacerbated by the fact that their unique properties make storage and distribution prohibitively expensive, and international mechanisms to provide distribution to economically depressed regions are non-existent. Given the significant difficulties, it would be incumbent upon the great powers (i.e. China and America) to work together not only in vaccine development but also in the establishment of a distribution platform to ensure equitable access worldwide.

Originality/value

This study is one of the few social science research papers on COVID-19 vaccine development and its implications for society at large.

Details

Asian Education and Development Studies, vol. 10 no. 4
Type: Research Article
ISSN: 2046-3162

Keywords

Article
Publication date: 11 February 2021

Sai Liang, Xiaoxia Zhang, Chunxiao Li, Hui Li and Xiaoyu Yu

Due to their very different contexts, the responses made by property hosts to online reviews can differ from those posted by hotel managers. Thus, the purpose of this…

Abstract

Purpose

Due to their very different contexts, the responses made by property hosts to online reviews can differ from those posted by hotel managers. Thus, the purpose of this study is to investigate the determinants of the responding behavior of hosts on peer-to-peer property rental platforms.

Design/methodology/approach

This study applied a comprehensive framework based on the theory of planned behavior. Empirical models are constructed based on 89,967 guest reviews with their associated responses to reveal the responding pattern of property hosts.

Findings

Unlike hotel managers, property hosts are more likely to reply to positive than to negative reviews; moreover, when they do choose to respond to negative reviews, they are likely to do so negatively, in a “tit-for-tat” way. This study also finds that one reason for the difference of responding patterns between property hosts and hotel managers is the hosts’ lack of experience of consumer relationship management and service recovery.

Research limitations/implications

This study provides a good start point for future theoretical development regarding effective responding strategy on peer-to-peer property rental platforms, as well as some useful implications for practitioners.

Originality/value

This study is an early attempt to analyze the impact of the particularity of emerging platforms on the responding behavior of service providers based on a comprehensive conceptual framework and empirical model thus provides a good starting point for the further investigation of effective response strategies on these emerging platforms.

Details

International Journal of Contemporary Hospitality Management, vol. 33 no. 3
Type: Research Article
ISSN: 0959-6119

Keywords

Content available
Article
Publication date: 16 October 2020

Xiaoyu Yang, Zhigeng Fang, Xiaochuan Li, Yingjie Yang and David Mba

Online health monitoring of large complex equipment has become a trend in the field of equipment diagnostics and prognostics due to the rapid development of sensing and…

Abstract

Purpose

Online health monitoring of large complex equipment has become a trend in the field of equipment diagnostics and prognostics due to the rapid development of sensing and computing technologies. The purpose of this paper is to construct a more accurate and stable grey model based on similar information fusion to predict the real-time remaining useful life (RUL) of aircraft engines.

Design/methodology/approach

First, a referential database is created by applying multiple linear regressions on historical samples. Then similarity matching is conducted between the monitored engine and historical samples. After that, an information fusion grey model is applied to predict the future degradation trajectory of the monitored engine considering the latest trend of monitored sensory data and long-term trends of several similar referential samples, and the real-time RUL is obtained correspondingly.

Findings

The results of comparative analysis reveal that the proposed model, which is called similarity-based information fusion grey model (SIFGM), could provide better RUL prediction from the early degradation stage. Furthermore, SIFGM is still able to predict system failures relatively accurately when only partial information of the referential samples is available, making the method a viable choice when the historical whole life cycle data are scarce.

Research limitations/implications

The prediction of SIFGM method is based on a single monotonically changing health indicator (HI) synthesized from monitoring sensory signals, which is assumed to be highly relevant to the degradation processes of the engine.

Practical implications

The SIFGM can be used to predict the degradation trajectories and RULs of those online condition monitoring systems with similar irreversible degradation behaviors before failure occurs, such as aircraft engines and centrifugal pumps.

Originality/value

This paper introduces the similarity information into traditional GM(1,1) model to make it more suitable for long-term RUL prediction and also provide a solution of similarity-based RUL prediction with limited historical whole life cycle data.

Details

Grey Systems: Theory and Application, vol. 11 no. 3
Type: Research Article
ISSN: 2043-9377

Keywords

Article
Publication date: 3 July 2020

Xiaoyu Wang, Hean Tat Keh and Li Yan

Frontline employees (FLEs) play a pivotal role in service delivery. Beyond their expected in-role behaviors, FLEs often have to perform extra-role behaviors such as…

Abstract

Purpose

Frontline employees (FLEs) play a pivotal role in service delivery. Beyond their expected in-role behaviors, FLEs often have to perform extra-role behaviors such as providing additional help to customers. The purpose of this study is to investigate how customers’ power distance belief (PDB) influences their perceptions of FLEs’ warmth and competence when FLEs perform extra-role helping behaviors.

Design/methodology/approach

Four experiments were conducted to test the hypotheses. The first three experiments used a one factor two-level (PDB: low vs high) between-participants design. The fourth one used a 2 (PDB: low vs high) × 2 (firm reputation: low vs high) between-participants design.

Findings

The results indicate that, compared to high-PDB customers, low-PDB customers perceive greater warmth in FLEs’ extra-role helping behaviors but no significant difference in FLEs’ perceived competence. Importantly, these effects are mediated by customer gratitude. Moreover, these effects are moderated by firm reputation such that customers’ perceptions of FLEs’ warmth and competence are both enhanced when the firm has a favorable reputation.

Originality/value

To the best of the authors’ knowledge, the study is the first to identify the differential effects of PDB on customer perceptions of FLEs’ warmth and competence in the context of FLEs’ extra-role helping behaviors and to reveal the mediating role of gratitude. These findings contribute to the literatures on FLEs’ extra-role behaviors and social perceptions of both warmth and competence.

Article
Publication date: 17 December 2019

Fang Wang, Shiting Lin, Xiaoyu Liu, Chunyan Jiang and Jianing Li

The former residences of historical figures are typical landscape elements of historic districts, which are characterised by the styles of these residences and spiritual…

Abstract

Purpose

The former residences of historical figures are typical landscape elements of historic districts, which are characterised by the styles of these residences and spiritual historical figures cultures. The purpose of this paper is to determine how the former residences respond once the historical figures living there have passed.

Design/methodology/approach

The history of human culture and progression of urban construction – which are submerged in societal transformation – is recorded for old Beijing city. Narrative space theory is used and methods such as a content analysis, map overlay and the Geographic Information System are employed to analyse the selected 300 former residences of historical figures in old Beijing city.

Findings

The results are as follows: the political setting played a key role in the evolution process, three political narrative areas in the inner city and one cultural narrative area in the outer city form the narrative spatial structure of the former residences of historical figures, “government construction” and “resident construction” are the main reasons for the loss and destruction of narrative spaces and ordinary life is an important channel for showcasing the history of former residences. The narrative spaces of these residences carry double histories, namely, the development of human history and of city construction.

Originality/value

Different from former studies that focus on the preservation of the single historical building, this study explores the integral logic of historic buildings in the whole city through narrative space theory to get a combination of culture and space.

Details

International Journal of Tourism Cities, vol. 6 no. 2
Type: Research Article
ISSN: 2056-5607

Keywords

Article
Publication date: 10 December 2021

Jun Zhang, Xiaojian Ou, Lin Li, Qianqian Chen, Zifan Zhang, Ting Huo, Xiaoyu Lin, Fangfang Niu, Shengyuan Zhao, Fang We, Hui Li, Chunli Liu, Zhenbin Chen, Sujun Lu, Peng Zhang and Jinian Zhu

A novel grafted temperature-responsive ReO4 Imprinted composite membranes (Re-ICMs) was successfully prepared by using polyvinylidene fluoride (PVDF) resin membranes as…

Abstract

Purpose

A novel grafted temperature-responsive ReO4 Imprinted composite membranes (Re-ICMs) was successfully prepared by using polyvinylidene fluoride (PVDF) resin membranes as substrates, this study aimed to separate and purify ReO effectively.

Design/methodology/approach

Re-ICMs were synthesized by PVDF resin membranes as the substrate, acrylic acid (AA), acrylamide (AM), ethylene glycol dimethacrylate (EGDMA) were functional monomers. The morphology and structure of Re-ICMs were characterized by scanning electron microscope and Fourier transform infrared spectroscopy.

Findings

The maximum adsorption capacity toward ReO4 was 0.1,163 mmol/g and the separation decree had relation to MnO4 was 19.3. The optimal operation conditions were studied detailedly and the results as follows: the molar ratios of AA, AM, EGDMA, ascorbic acid, NH4ReO4, were 0.8, 0.96, 0.02, 0.003 and 0.006. The optimal time and temperature were 20 h and 40°C, respectively. The Langmuir and pseudo-second-order models were fit these adsorption characteristics well.

Practical implications

Rhenium (Re) is mainly used to chemical petroleum and make superalloys for jet engine parts. This study was representing a technology in separate and purify of Re, which provided a method for the development of the petroleum and aviation industry.

Originality/value

This contribution provided a novel method to separate ReO4 from MnO4. The maximum adsorption capacity was 0.1163 mmol/g at 35°C and the adsorption equilibrium time was within 2 h. Meanwhile, the adsorption selectivity rate ReO4/MnO4 was 19.3 and the desorption rate was 78.3%. Controlling the adsorption experiment at 35°C and desorption experiment at 25°C in aqueous solution, it could remain 61.3% of the initial adsorption capacity with the adsorption selectivity rate of 13.3 by 10 adsorption/desorption cycles, a slight decrease, varied from 78.3% to 65.3%, in desorption rate was observed.

Details

Pigment & Resin Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0369-9420

Keywords

1 – 10 of 83