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Article
Publication date: 19 October 2020

Xin Rui, Junying Wu, Jianbin Zhao and Maryam Sadat Khamesinia

Based on the positive features of the shark smell optimization (SSO) algorithm, the purpose of this paper is to propose a method based on this algorithm, dynamic voltage and…

435

Abstract

Purpose

Based on the positive features of the shark smell optimization (SSO) algorithm, the purpose of this paper is to propose a method based on this algorithm, dynamic voltage and frequency scaling (DVFS) model and fuzzy logic to minimize the energy consumption of integrated circuits of internet of things (IoT) nodes and maximize the load-balancing among them.

Design/methodology/approach

Load balancing is a key problem in any distributed environment such as cloud and IoT. It is useful when a few nodes are overloaded, a few are under-loaded and the remainders are idle without interrupting the functioning. As this problem is known as an NP-hard one and SSO is a powerful meta-hybrid method that inspires shark hunting behavior and their skill to detect and feel the smell of the bait even from far away, in this research, this study have provided a new method to solve this problem using the SSO algorithm. Also, the study have synthesized the fuzzy logic to counterbalance the load distribution. Furthermore, DVFS, as a powerful energy management method, is used to reduce the energy consumption of integrated circuits of IoT nodes such as processor and circuit bus by reducing the frequency.

Findings

The outcomes of the simulation have indicated that the proposed method has outperformed the hybrid ant colony optimization – particle swarm optimization and PSO regarding energy consumption. Similarly, it has enhanced the load balance better than the moth flame optimization approach and task execution node assignment algorithm.

Research limitations/implications

There are many aspects and features of IoT load-balancing that are beyond the scope of this paper. Also, given that the environment was considered static, future research can be in a dynamic environment.

Practical implications

The introduced method is useful for improving the performance of IoT-based applications. We can use these systems to jointly and collaboratively check, handle and control the networks in real-time. Also, the platform can be applied to monitor and control various IoT applications in manufacturing environments such as transportation systems, automated work cells, storage systems and logistics.

Originality/value

This study have proposed a novel load balancing technique for decreasing energy consumption using the SSO algorithm and fuzzy logic.

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Article
Publication date: 24 September 2021

Minning Wu, Feng Zhang and X. Rui

Internet of things (IoT) is essential in technical, social and economic domains, but there are many challenges that researchers are continuously trying to solve. Traditional…

123

Abstract

Purpose

Internet of things (IoT) is essential in technical, social and economic domains, but there are many challenges that researchers are continuously trying to solve. Traditional resource allocation methods in IoT focused on the optimal resource selection process, but the energy consumption for allocating resources is not considered sufficiently. This paper aims to propose a resource allocation technique aiming at energy and delay reduction in resource allocation. Because of the non-deterministic polynomial-time hard nature of the resource allocation issue and the forest optimization algorithm’s success in complex problems, the authors used this algorithm to allocate resources in IoT.

Design/methodology/approach

For the vast majority of IoT applications, energy-efficient communications, sustainable energy supply and reduction of latency have been major goals in resource allocation, making operating systems and applications more efficient. One of the most critical challenges in this field is efficient resource allocation. This paper has provided a new technique to solve the mentioned problem using the forest optimization algorithm. To simulate and analyze the proposed technique, the MATLAB software environment has been used. The results obtained from implementing the proposed method have been compared to the particle swarm optimization (PSO), genetic algorithm (GA) and distance-based algorithm.

Findings

Simulation results show that the proper performance of the proposed technique. The proposed method, in terms of “energy” and “delay,” is better than other ones (GA, PSO and distance-based algorithm).

Practical implications

The paper presents a useful method for improving resource allocation methods. The proposed method has higher efficiency compared to the previous methods. The MATLAB-based simulation results have indicated that energy consumption and delay have been improved compared to other algorithms, which causes the high application of this method in practical projects. In the future, the focus will be on resource failure and reducing the service level agreement violation rate concerning the number of resources.

Originality/value

The proposed technique can solve the mentioned problem in the IoT with the best resource utilization, low delay and reduced energy consumption. The proposed forest optimization-based algorithm is a promising technique to help enterprises participate in IoT initiatives and develop their business.

Details

Circuit World, vol. 49 no. 3
Type: Research Article
ISSN: 0305-6120

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Article
Publication date: 14 March 2016

Rui Zhang and Binjie Xin

The purpose of this paper is introducing the image processing technology used for fabric analysis, which has the advantages of objective, digital and quick response.

482

Abstract

Purpose

The purpose of this paper is introducing the image processing technology used for fabric analysis, which has the advantages of objective, digital and quick response.

Design/methodology/approach

This paper briefly describes the key process and module of some typical automatic recognition systems for fabric analysis presented by previous researchers; the related methods and algorithms used for the texture and pattern identification are also introduced.

Findings

Compared with the traditional subjective method, the image processing technology method has been proved to be rapid, accurate and reliable for quality control.

Originality/value

The future trends and limitations in the field of weave pattern recognition for woven fabrics have been summarized at the end of this paper.

Details

Research Journal of Textile and Apparel, vol. 20 no. 1
Type: Research Article
ISSN: 1560-6074

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Article
Publication date: 7 June 2013

Xin‐min Peng and Dong Wu

Global production networks (GPN) propel process and product upgrading of the latecomer firm (LCF), promoting its present operating efficiency on one hand, but, on the other hand…

609

Abstract

Purpose

Global production networks (GPN) propel process and product upgrading of the latecomer firm (LCF), promoting its present operating efficiency on one hand, but, on the other hand, probably hindering the LCF's function and chain upgrading, resulting in the undermining of its future adaptive capability. Previous studies have suggested that ambidexterity is influential to the upgrading of the LCF. However, little is known about how the LCF builds ambidexterity to upgrade in GPN. The purpose of this paper is to examine how the LCF constructs ambidexterity resulting from tie diversity to break through the upgrading dilemma.

Design/methodology/approach

This paper intends to fill relevant gaps in the literatures on the LCF and explore the emerging fields of ambidexterity. The authors employ a longitudinal case study by examining how a manufacturer – Haitian Group – originating from China's plastic equipment industry has managed its diverse ties to build ambidexterity over the past 20 years.

Findings

The research reveals that: the key to successfully transferring from process and product upgrading to function or chain upgrading in GPN for the LCF is to establish its ambidexterity over time; LCF could achieve ambidexterity through creating diverse ties in GPN, namely develop diverse cooperative partners and patterns in different value functions over time; and the process of the LCF building ambidexterity in GPN is incremental, which needs the previous exploitation as a basis.

Originality/value

Previous studies have paid little attention to how the LCF makes use of tie diversity to build ambidexterity to sustainable upgrading in GPN. This paper fills the gaps and contributes to the theory of upgrading in GPN.

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Case study
Publication date: 19 April 2013

Wu Ci-sheng and Zhou Zhen

Labour relations management, business management, HRM, focusing on the labour relations of Chinese enterprises.

Abstract

Subject area

Labour relations management, business management, HRM, focusing on the labour relations of Chinese enterprises.

Study level/applicability

This case is designed for students in schools of business or management, undergraduate MBA or executive MBA classes. Students should already have a basic knowledge about Chinese labour relations, HRM, and organizational development.

Case overview

In 2004, a deal transformed Anhui Xuanjiu Group from a state-owned enterprise (SOE) to a private company. Li Jian, the Chairman of Xuanjiu Group, focused on creating happiness for employees. Thanks to Li Jian's efforts, Xuanjiu emrged from its crisis which was formed in the planned economy system. After several years of development, the labour relations management of Anhui Xuanjiu Group became a model among private enterprises in China.

Expected learning outcomes

Students can gain new insights into labour relations in China. The case provides an example of building friendly labour relations to avoid labour disputes. It provides a set of measures for retaining and motivating workers.

Supplementary materials

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Details

Emerald Emerging Markets Case Studies, vol. 3 no. 1
Type: Case Study
ISSN: 2045-0621

Keywords

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Book part
Publication date: 15 September 2017

Jingjing Yang and Hao-Chang Sung

We analyze the economic consequence of government intervention on the incidence of accounting fraud and audit fees of both Big 4 and local big auditors on Chinese audit market in…

Abstract

We analyze the economic consequence of government intervention on the incidence of accounting fraud and audit fees of both Big 4 and local big auditors on Chinese audit market in the period 2006–2013. In 2009, Chinese government issued favorable polices to local big auditors and required certain Chinese companies to give priority to these auditors. We find that market share of Big 4 auditors is quite stable before and after government intervention, but market share of local big auditors increases at the cost of local small auditors after intervention. Although audit fee premiums of both local big and Big 4 auditors have increased after intervention, the positive effect of local big auditors on audit fee premiums has significantly decreased. Further, both Big 4 and local big auditors are not likely to reduce the incidence of accounting fraud in pre- and post-intervention period. Our results suggest that Chinese government support to local auditors does not significantly enhance these auditors’ competitiveness in terms of audit fee and audit quality.

Details

Advances in Pacific Basin Business Economics and Finance
Type: Book
ISBN: 978-1-78743-409-7

Keywords

Abstract

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 34 no. 5
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 10 April 2024

Rui Lin, Qiguan Wang, Xin Yang and Jianwen Huo

In complex environments, a spherical robot has great application value. When the pendulum spherical robot is stopped or disturbed, there will be a periodic oscillation. This…

76

Abstract

Purpose

In complex environments, a spherical robot has great application value. When the pendulum spherical robot is stopped or disturbed, there will be a periodic oscillation. This situation will seriously affect the stability of the spherical robot. Therefore, this paper aims to propose a control method based on backstepping and disturbance observers for oscillation suppression.

Design/methodology/approach

This paper analyzes the mechanism of oscillation. The oscillation model of the spherical robot is constructed and the relationship between the oscillation and the internal structure of the sphere is analyzed. Based on the oscillation model, the authors design the oscillation suppression control of the spherical robot using the backstepping method. At the same time, a disturbance observer is added to suppress the disturbance.

Findings

It is found that the control system based on backstepping and disturbance observer is simple and efficient for nonlinear models. Compared with the PID controller commonly used in engineering, this control method has a better control effect.

Practical implications

The proposed method can provide a reliable and effective stability scheme for spherical robots. The problem of instability in real motion is solved.

Originality/value

In this paper, the oscillation model of a spherical robot is innovatively constructed. Second, a new backstepping control method combined with a disturbance observer for the spherical robot is proposed to suppress the oscillation.

Details

Industrial Robot: the international journal of robotics research and application, vol. 51 no. 4
Type: Research Article
ISSN: 0143-991X

Keywords

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Article
Publication date: 16 February 2022

Ru Liang, Rui Li, Xue Yan, Zhenzhen Xue and Xin Wei

Prefabricated components sustainable supplier (PCSS) selection is critical to the success of prefabricated projects. However, limited studies have addressed the uncertainty and…

279

Abstract

Purpose

Prefabricated components sustainable supplier (PCSS) selection is critical to the success of prefabricated projects. However, limited studies have addressed the uncertainty and complexities during the selection process, particularly in multi-criterion group decision-making (MCGDM) circumstances. Hence, the research aims to develop a group decision-making model using a modified fuzzy MCGDM approach for PCSS selection under uncertain situation.

Design/methodology/approach

The proposed study develops a framework for sorting decisions in PCSS selection by using the hesitant fuzzy technique for order preference by similarity to ideal solution (HF-TOPSIS) method. The maximum consistency (MC) model is used to calculate the weights of decision makers (DMs) based on the cardinality and sequence of decision data.

Findings

The proposed framework has been successfully applied and illustrated in the case example of CB01 contract section in Hong Kong-Zhuhai-Macao Bridge (HZMB) megaproject. The results show various complicated decision-making scenarios can be addressed through the proposed approach. The MC model is able to calculate the weights of DMs based on the cardinality and sequence of decision data.

Originality/value

The research contributes to improving accuracy and reliability decision-making processes for PCSS selection, especially under hesitant and fuzzy situations in prefabricated megaprojects.

Details

Engineering, Construction and Architectural Management, vol. 30 no. 5
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 8 December 2020

Zhen Li, Shaowen Zhang, Qingfeng Meng and Xin Hu

The Chinese construction industry is experiencing a rapid growth these days. Due to the requirements of energy conservation, emission reduction and construction waste management…

1226

Abstract

Purpose

The Chinese construction industry is experiencing a rapid growth these days. Due to the requirements of energy conservation, emission reduction and construction waste management, the development of prefabricated buildings (PBs) has attracted much attention in the Chinese construction industry. However, the development of PBs are still in their infancy in China, which have been negatively impacted by many obstacles. It is of great significance to clarify and analyze these obstacles for the purpose of promoting the development of PBs in China. Due to the wideness and complex features of obstacles, the existing literature exploring the research topic lacks comprehensiveness. The purpose of this paper is to systematically identify and discuss the obstacles that hinder the development of PBs in China.

Design/methodology/approach

This paper adopts the method of news report analysis based on the news reports retrieved from China National Knowledge Infrastructure (CNKI) and nine major portals in China. The Term Frequency-Inverse Document Frequency (TF-IDF) method of content analysis was used to rank the obstacles according to their importance.

Findings

A total of 79 obstacles to the development of PBs in China are identified, and the 79 obstacles are divided into 8 dimensions. Among the Top 20 obstacles, the government dimension accounted for the highest number of 5, the market and consumer dimension and development organization dimension were 4, Manufacturing Enterprise of Prefabricated Components (PCs) dimension, construction organization dimension and design organization dimension were 2, logistics enterprise dimension was 1, and industry association dimension was 0. Among them, the biggest obstacle is the high transportation costs.

Research limitations/implications

First, data collection may not be very comprehensive. Second, this paper is only based on the obstacles in the development of PBs in China, and the universality of the management conclusions needs to be further strengthened.

Practical implications

The research results help the stakeholders in the Chinese PBs industry to better understand the barriers hindering the industry development in a systemic way, which will help propose appropriate strategies to address these barriers.

Originality/value

This paper clarifies the obstacles of China's PBs and makes an analysis, which is of great value to the development of China's PBs.

Details

Engineering, Construction and Architectural Management, vol. 28 no. 10
Type: Research Article
ISSN: 0969-9988

Keywords

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