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Article
Publication date: 17 March 2016

Yi Tang, Xue Li, Yongli Fang and Hao Liu

Significant amount of harmonics and inter-harmonics are being injected into the power system because of the increasing use of power electronics and large non-liner loads…

113

Abstract

Purpose

Significant amount of harmonics and inter-harmonics are being injected into the power system because of the increasing use of power electronics and large non-liner loads. Therefore, analyzing their contents in real time is necessary.

Design/methodology/approach

The frequency and phase of an electric power harmonic or inter-harmonic can be estimated by using the discrete spectrum energy center of symmetric windows, the amplitude calculation of an electric power harmonic or inter-harmonic can be calculated by using the Pasival theorem, and their relative estimation error is only decided by the distribution of windows’ energy in the frequency domain, which equals the proportion of the spectrum energy occupied in the side lobe to the whole.

Findings

The results of the digital simulation and experimental tests show that the method proposed in this paper has the same measurement precision as and more advantages in computational complexity and burden over other methods, which are based on multipoint interpolation or interpolation polynomial windowed.

Originality/value

The method is very suitable to be used to real-time measurement in a single chip DSP micro-processor.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering , vol. 35 no. 3
Type: Research Article
ISSN: 0332-1649

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Article
Publication date: 13 December 2017

Zhi-Ping Fan, Yang Xi and Yongli Li

Online product ratings play an important role in the decision-making process of consumers, which are not only sources of information used by consumers to understand the function…

945

Abstract

Purpose

Online product ratings play an important role in the decision-making process of consumers, which are not only sources of information used by consumers to understand the function and quality of a product or service but also sources of information used to find desirable products. The purpose of this paper is to develop a decision-based method for supporting the purchase decisions of consumers based on not only the online product ratings but also the actual product attributes.

Design/methodology/approach

First, two types of utility values are designed to measure the preference of the consumer based on either online ratings or actual product attributes. Then, the traditional TOPSIS method is adopted to achieve a comprehensive value by integrating the two types of utility values so that all of the alternative products can be ranked. Further, a product selection support system prototype is designed and developed to support the purchase decisions of consumers.

Findings

To help consumers select desirable products efficiently, it is necessary to develop a product selection method based on the online ratings of alternative products and consumer expectations.

Practical implications

The research shows that the proposed method can not only support consumers’ purchase decisions based on a large number of online product ratings but also help manufacturers to find out consumers’ demands or requirements on products so as to facilitate the design of new products or the improvement of products. On the basis of the proposed method, the developed system prototype is helpful for consumers to select desirable products.

Originality/value

To support the purchase decisions of consumers, a new decision-based method for selecting desirable online products is proposed.

Details

Kybernetes, vol. 47 no. 4
Type: Research Article
ISSN: 0368-492X

Keywords

Available. Open Access. Open Access
Article
Publication date: 2 October 2017

Beibei Xiong, Yongli Li, Ernesto D.R. Santibanez Gonzalez and Malin Song

The purpose of this paper is to measure Chinese industries’ eco-efficiency during 2006-2013. The Chinese industry attained rapid achievement in recent decades, but meanwhile…

1535

Abstract

Purpose

The purpose of this paper is to measure Chinese industries’ eco-efficiency during 2006-2013. The Chinese industry attained rapid achievement in recent decades, but meanwhile, overconsumption of energy and environmental pollution have become serious problems. To solve these problems, many research studies used the data envelopment analysis (DEA) to measure the Chinese industry’s eco-efficiency. However, because the target set by these works is usually the furthest one for a province to be efficient, it may hardly be accepted by any province.

Design/methodology/approach

This paper builds a new “closest target method” based on an additive DEA model considering the undesirable outputs. This method is a mixed-integer programming problem which can measure the ecological efficiency of provinces and more importantly guide the province to perform efficiently with minimum effort.

Findings

The results show that the eco-efficiency of Chinese provinces increased at the average level, but the deviations remained at a larger value. Compared to the “furthest” target methods, the targets by the approach proposed by this study are more acceptable for a province to improve its performance on both economy and environment counts.

Originality/value

This study is the first attempt to introduce the closest targets concept to measure the eco-efficiency and set the target for each provincial industry in China.

Details

International Journal of Climate Change Strategies and Management, vol. 9 no. 5
Type: Research Article
ISSN: 1756-8692

Keywords

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Article
Publication date: 17 October 2008

Haixia Li, He Lin, Yongli Li and Aiping Wu

In order to study granularity, this paper aims to discuss how to construct granules from the view of panweighted field of pansystem.

77

Abstract

Purpose

In order to study granularity, this paper aims to discuss how to construct granules from the view of panweighted field of pansystem.

Design/methodology/approach

By changing the panweights of panweighted field – subdivision of panweights, increase/decrease of panweights and reallocating panweights, to construct proper granules is the approach taken.

Findings

This paper provides a new method of studying granularity. If the weights of panweighted field are subdivided, then the granularity diminishes; if the panweights of panweighted field are increased, then the corresponding granularity diminished. Contrarily, the decrease of panweights of panweighted field results in the corresponding granularity increased; by reallocating panweights, use different method to construct different granules, such as compatible class, neighbor operator, compatible core, s‐s core and so on.

Research limitations/implications

How to reallocate panweights is the main limitation.

Practical implications

A very useful advice for studying granularity.

Originality/value

This paper combines the granularity with panweighted field of pansystem, and studies granularity from the view of panweighted field of pansystems.

Details

Kybernetes, vol. 37 no. 9/10
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 31 August 2021

Peng Luo, Eric W.T. Ngai, Yongli Li and Xin Tian

This study examines the dynamic relationships of visit behavior in the multiple channels [personal computer (PC) and mobile channels] on online store sales performance.

956

Abstract

Purpose

This study examines the dynamic relationships of visit behavior in the multiple channels [personal computer (PC) and mobile channels] on online store sales performance.

Design/methodology/approach

The empirical data were from an online store for the period between August 14, 2015 and May 15, 2016. The data consisted of consumer visit behavior and online store sales performance. Vector autoregression with an exogenous variables model was adopted to investigate the dynamic relationships.

Findings

The empirical results show significant relationships between visit behavior metrics (number of visitors, average number of visits per visitor and average length of each visit) in the two channels and online store sales performance. The number of visitors through the PC and mobile channels strongly and positively affects online store sales performance both in the short term and in the longer term. Moreover, the number of visitors in the PC channel has the strongest influence on sales performance metrics, followed by the number of visitors and the average number of visits in the mobile channel. The PC channel's visit behavior metrics explain a larger proportion of the sales performance variance than that in the mobile channel.

Originality/value

The previous literature on consumer behavior in multichannel marketing mainly focuses on channel selection or migration, and examines the different factors affecting channel choice behavior. Little is known about the impacts of visit behavior in the multiple channels. This study adopts the heuristic-systematic information processing theory to unveil the impacts of visit behavior metrics in the PC and mobile channels on online store sales performance.

Details

Internet Research, vol. 32 no. 3
Type: Research Article
ISSN: 1066-2243

Keywords

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Article
Publication date: 3 April 2018

Binghua Zhou, Yiguo Xue, Mingtian Li, Zhiqiang Li, Xueliang Zhang and Yufan Tao

When a vehicle passes through a long highway tunnel, the smoke it discharges accumulates in the tunnel. High smoke concentration has an important influence on the driver’s health…

245

Abstract

Purpose

When a vehicle passes through a long highway tunnel, the smoke it discharges accumulates in the tunnel. High smoke concentration has an important influence on the driver’s health and driving safety. The use of numerous jet fans to diffuse the smoke causes excessive energy consumption, so it is of significant practical value to design suitable tunnel ventilation.

Design/methodology/approach

The study is based on the continuum hypothesis, incompressible hypothesis, steady flow hypothesis and similar hypothesis of gas in a long highway tunnel. These hypotheses calculate the gas emissions and wind demand in a long highway tunnel given the deployment of the jet fan program.

Findings

This program selects each of the two 1120-type jet machine group and sets up 13 groups; each group has an interval of 184.5 m in the end. The analysis of air test results when the tunnel is in operation shows that CO and smoke concentrations meet the design requirements, which can provide reference for a similar engineering design later.

Originality/value

At present, a highway tunnel is recognized at home and abroad by means of clearance of longitudinal ventilation, which is 2,000 m. In view of this, this paper is based on the theory of longitudinal jet ventilation of a highway tunnel, whose length is more than 2,000 m, to calculate the ventilation and apply it to a tunnel’s ventilation design.

Details

Journal of Engineering, Design and Technology, vol. 16 no. 2
Type: Research Article
ISSN: 1726-0531

Keywords

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Article
Publication date: 11 November 2014

Yongli Li, Chong Wu and Peng Luo

Rating, as a common way of evaluation, is a significant exercise and plays a major role in managerial decision-making in general and in particular online purchasing. The paper…

759

Abstract

Purpose

Rating, as a common way of evaluation, is a significant exercise and plays a major role in managerial decision-making in general and in particular online purchasing. The paper aims to discuss these issues.

Design/methodology/approach

This study utilizes the theory of social network analysis (SNA) to make a comprehensive evaluation model for rating commodities. Specifically, the paper shows how to apply the network analysis, how it works and what the advantage is. The paper further presents the new model's properties and validates the model's applicability. The paper finally analyzes the results with respect to various dimensions of a movie rating database and report on the insights generated by the model.

Findings

Through the designed comparison analysis and the empirical analysis, the model is showed to be better than the traditional ones such as averaging, analytic hierarchy process (AHP) and several mentioned dimension-reduction techniques (DRTs) in terms of consistency and its ability to deal with the missing data.

Practical implications

The new model is solvable in polynomial time and proper for the large-scale data set. Furthermore, this model can also be seen as a data mining method which would be useful to improve insights into customer behavior.

Originality/value

The proposed method enables to give comprehensive rating results which can preserve the rankings implied by all the customers’ ratings, adapt to the database with the missing data and cost a low algorithm time and space.

Details

Management Decision, vol. 52 no. 10
Type: Research Article
ISSN: 0025-1747

Keywords

Available. Open Access. Open Access
Article
Publication date: 21 January 2022

Yong Li, Yingchun Zhang, Gongnan Xie and Bengt Ake Sunden

This paper aims to comprehensively clarify the research status of thermal transport of supercritical aviation kerosene, with particular interests in the effect of cracking on heat…

1583

Abstract

Purpose

This paper aims to comprehensively clarify the research status of thermal transport of supercritical aviation kerosene, with particular interests in the effect of cracking on heat transfer.

Design/methodology/approach

A brief review of current research on supercritical aviation kerosene is presented in views of the surrogate model of hydrocarbon fuels, chemical cracking mechanism of hydrocarbon fuels, thermo-physical properties of hydrocarbon fuels, turbulence models, flow characteristics and thermal performances, which indicates that more efforts need to be directed into these topics. Therefore, supercritical thermal transport of n-decane is then computationally investigated in the condition of thermal pyrolysis, while the ASPEN HYSYS gives the properties of n-decane and pyrolysis products. In addition, the one-step chemical cracking mechanism and SST k-ω turbulence model are applied with relatively high precision.

Findings

The existing surrogate models of aviation kerosene are limited to a specific scope of application and their thermo-physical properties deviate from the experimental data. The turbulence models used to implement numerical simulation should be studied to further improve the prediction accuracy. The thermal-induced acceleration is driven by the drastic density change, which is caused by the production of small molecules. The wall temperature of the combustion chamber can be effectively reduced by this behavior, i.e. the phenomenon of heat transfer deterioration can be attenuated or suppressed by thermal pyrolysis.

Originality/value

The issues in numerical studies of supercritical aviation kerosene are clearly revealed, and the conjugation mechanism between thermal pyrolysis and convective heat transfer is initially presented.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 32 no. 9
Type: Research Article
ISSN: 0961-5539

Keywords

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Article
Publication date: 26 July 2022

Joana Baleeiro Passos, Daisy Valle Enrique, Camila Costa Dutra and Carla Schwengber ten Caten

The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies…

1116

Abstract

Purpose

The innovation process demands an interaction between environment agents, knowledge generators and policies of incentive for innovation and not only development by companies. Universities have gradually become the core of the knowledge production system and, therefore, their role regarding innovation has become more important and diversified. This study is aimed at identifying the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

Design/methodology/approach

This study is aimed at identifying, based on a systematic literature review, the mechanisms of university–industry (U–I) collaboration, as well as the operationalization steps of the U–I collaboration process.

Findings

The analysis of the 72 selected articles enabled identifying 15 mechanisms of U–I collaboration, proposing a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process.

Originality/value

In this paper, the authors screened nearly 1,500 papers and analyzed in detail 86 papers addressing U–I collaboration, mechanisms of U–I collaboration and operationalization steps of the U–I collaboration process. This paper provides a new classification for such mechanisms and developing a framework presenting the operationalization steps of the interaction process. This research contributes to both theory and practice by highlighting managerial aspects and stimulating academic research on such timely topic.

Details

International Journal of Innovation Science, vol. 15 no. 3
Type: Research Article
ISSN: 1757-2223

Keywords

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Article
Publication date: 7 June 2021

Prabhdeep Singh and Rajbir Kaur

The purpose of this paper is to provide more accurate structure that allows the estimation of coronavirus (COVID-19) at a very early stage with ultra-low latency. The machine…

200

Abstract

Purpose

The purpose of this paper is to provide more accurate structure that allows the estimation of coronavirus (COVID-19) at a very early stage with ultra-low latency. The machine learning algorithms are used to evaluate the past medical details of the patients and forecast COVID-19 positive cases, which can aid in lowering costs and distinctively enhance the standard of treatment at hospitals.

Design/methodology/approach

In this paper, artificial intelligence (AI) and cloud/fog computing are integrated to strengthen COVID-19 patient prediction. A delay-sensitive efficient framework for the prediction of COVID-19 at an early stage is proposed. A novel similarity measure-based random forest classifier is proposed to increase the efficiency of the framework.

Findings

The performance of the framework is checked with various quality of service parameters such as delay, network usage, RAM usages and energy consumption, whereas classification accuracy, recall, precision, kappa static and root mean square error is used for the proposed classifier. Results show the effectiveness of the proposed framework.

Originality/value

AI and cloud/fog computing are integrated to strengthen COVID-19 patient prediction. A novel similarity measure-based random forest classifier with more than 80% accuracy is proposed to increase the efficiency of the framework.

Details

World Journal of Engineering, vol. 19 no. 1
Type: Research Article
ISSN: 1708-5284

Keywords

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