Search results

1 – 10 of 912
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 2 October 2017

Haitao Qi, Zilong Liu and Yan Lang

The symmetrical valve is usually used in the hydraulic servo control system to control the asymmetrical cylinder, but this system’s structure involves asymmetry, and so its…

129

Abstract

Purpose

The symmetrical valve is usually used in the hydraulic servo control system to control the asymmetrical cylinder, but this system’s structure involves asymmetry, and so its dynamic characteristics are asymmetrical, which causes issues in the control system of symmetric response. The purpose of this paper is to achieve the aim of symmetric control.

Design/methodology/approach

In this paper, the authors proposed a method that combined wavelet neural network (WNN) and model reference adaptive control. The reference model determined the dynamic response that the system was expected to achieve, and the WNN adaptive control made the system follow the reference model to achieve the purpose of symmetric control.

Findings

The experimental results show that the method can achieve a more accurate symmetric control and position control compared with the solutions via the classical PID control.

Originality/value

The proposed combination of the WNN and the reference model can effectively compensate for the asymmetry of dynamic response of the asymmetric cylinder in forward and return directions, which can be extended to deal with other classes of applications.

Details

Engineering Computations, vol. 34 no. 7
Type: Research Article
ISSN: 0264-4401

Keywords

Access Restricted. View access options
Article
Publication date: 1 April 2000

S. YE and R.K.L. TIONG

Government support plays an important part in risk‐return trade‐off of participants in privately financed infrastructure projects. Depending on the level of government support…

590

Abstract

Government support plays an important part in risk‐return trade‐off of participants in privately financed infrastructure projects. Depending on the level of government support, risk‐return trade‐off of the private sponsor varies from project to project. Case studies on two of China's build‐operate‐transfer (BOT) power projects that were developed at different time periods illustrate that government support has a significant effect on both risk and return of the private sponsor. It is hoped that such understanding would help the private sponsor strike a desirable risk‐return trade‐off in structuring a BOT deal.

Details

Engineering, Construction and Architectural Management, vol. 7 no. 4
Type: Research Article
ISSN: 0969-9988

Keywords

Access Restricted. View access options
Book part
Publication date: 4 October 2022

Wei Cui

Abstract

Details

Crisis Communication in China
Type: Book
ISBN: 978-1-80117-983-6

Access Restricted. View access options
Article
Publication date: 1 October 2018

F.F.M Shaikh, T.D. Dongale and R.K. Kamat

The overall purpose of this research paper largely depends on developing an easy method to synthesis a material suitable for supercapacitor application. This paper includes the…

350

Abstract

Purpose

The overall purpose of this research paper largely depends on developing an easy method to synthesis a material suitable for supercapacitor application. This paper includes the synthesis of, α-Co(OH)2, its structural, elemental and morphological properties and its supercapacitor properties.

Design/methodology/approach

Firstly, the electrolyte is prepared using binder free method, then electrodeposition is used to synthesize α-Co(OH)2 at 2 V. X-ray diffraction (XRD), energy dispersive spectroscopy (EDS) and scanning electron microscope (SEM) are used to study the structural, elemental and morphological characteristics. The supercapacitor properties are investigated by using cyclic voltammetry, charging-discharging graph, stability test and electrochemical impedance spectroscopy (EIS).

Findings

Synthesis of α-Co(OH)2 is a tedious job as the temperature and use of weak base plays an important role. However, throughout electrodeposition, temperature is maintained using a water bath and weak base as the precursor. The presence of nitrate anions shows more interlayer space than that of ß-Co(OH)2 because of which free diffusion of the electrolyte is possible. Sheets structures are more visible in SEM images. Nanosheet like structure is observed in the film and such kind of structure provide higher surface area and higher specific capacitance. Usually, the surface morphology of cobalt hydroxide shows flower-like, spherical and nanocubes particles. The cross-section of the deposited film and it is found to be approximately 100 µm. In the forward and backward scan, oxidation and reduction peaks are clearly visible. However, such a behavior is reported as stable because of no further peaks of oxidation.

Originality/value

XRD and EDS confirms the growth of α-Co(OH)2. SEM images shows the porous nature of the film. Specific capacitance and energy density has been estimated at 5 mV s−1 is 780 F g−1 and 82 W h kg−1, respectively. The film was stable for 600 cycles showing 75 per cent capacitance retention. The voltage drop is 0.02 V for 0.5 A cm−2, indicating low resistance and good conductivity of the film. The specific power is estimated to be 15 W kg−1 for 1 A cm−2. The value of RESR, RCT, CDL and W is 4.83 Ohm, 1.273 Ohm, 0.00233 C and 0.717, respectively. Thus indicating α-Co(OH)2 to be better candidate for supercapacitor applications.

Details

Microelectronics International, vol. 35 no. 4
Type: Research Article
ISSN: 1356-5362

Keywords

Access Restricted. View access options
Article
Publication date: 1 June 2012

Jagdeep Singh and Harwinder Singh

The purpose of this paper is to review the literature and provide an overview of the history, evolution and existing research on continuous improvement (CI). It reviews a large…

2713

Abstract

Purpose

The purpose of this paper is to review the literature and provide an overview of the history, evolution and existing research on continuous improvement (CI). It reviews a large number of research papers in this field and presents the overview of various CI implementation practices demonstrated by manufacturing organizations globally.

Design/methodology/approach

The paper systematically categorizes the published literature, analyzes and reviews it methodically.

Findings

The paper reveals the important concepts, case studies and surveys in concerned with CI methodology. The contributions of CI programmes towards improving manufacturing performance of the organizations and CI values that underlies continuous improvement have also been highlighted.

Practical implications

The literature on classification of CI has so far been very limited. The paper reviews a large number of papers in this field and presents the overview of various CI practices demonstrated by manufacturing organizations globally. Further the future implications have also been discussed for the smooth and effective implementation of CI practices in manufacturing organizations.

Originality/value

The paper contains a comprehensive listing of publications on the field in question and their classification. It will be useful to researchers, professionals and others concerned with this subject to understand the significance of CI methodology.

Details

International Journal of Lean Six Sigma, vol. 3 no. 2
Type: Research Article
ISSN: 2040-4166

Keywords

Access Restricted. View access options
Article
Publication date: 8 July 2019

Lei Dong, Xiaoyu Zhang, Kun Liu, Xiaojun Liu, Ruiming Shi, Junyuan Wang and Feng Liu

The purpose of this paper is to investigate the tribological properties of the WC/TiC-Co substrate under different loading conditions under three impact abrasive wear conditions.

163

Abstract

Purpose

The purpose of this paper is to investigate the tribological properties of the WC/TiC-Co substrate under different loading conditions under three impact abrasive wear conditions.

Design/methodology/approach

The three body collisional wear behavior of Co alloy with WC and TiC at three impact energy was studied from 1 to 3 J. Meanwhile, the microstructure, hardness, phase transformation and wear behavior of these specimens were investigated by scanning electron microscopy, Rockwell hardness (HRV), EDS and impact wear tester. The resulting wear rate was quantified by electronic balance measurements under different pressures.

Findings

The specific wear rate increases with the increase of the nonlinearity of the impact energy and the increase in the content of WC or TiC. The effect of TiC on wear rate is greater than that of WC, but the hardness is smaller. The wear characteristics of the samples are mainly characterized by three kinds of behavior, such as cutting wear, abrasive wear and strain fatigue wear. The WC-Co with fewer TiC samples suffered heavier abrasive wear than the more TiC samples under both low and high impact energy and underwent fewer strain fatigue wears under high impact energy.

Originality/value

The experimental results show that the wear resistance of the Co alloy is improved effectively and the excellent impact wear performance is achieved. The results can be used in cutting tools such as coal mine cutting machines or other fields.

Details

Industrial Lubrication and Tribology, vol. 71 no. 7
Type: Research Article
ISSN: 0036-8792

Keywords

Access Restricted. View access options
Article
Publication date: 12 August 2019

Lei Guo, Lien Zhu, Lei Ma, Jian Zhang, QiuYu Meng, Zheng Jin, Meihua Liu and Kai Zhao

The purpose of this paper is to prepare a spherical modifier-modified activated carbon fiber of high specific capacitance intended for electrode materials of supercapacitor.

118

Abstract

Purpose

The purpose of this paper is to prepare a spherical modifier-modified activated carbon fiber of high specific capacitance intended for electrode materials of supercapacitor.

Design/methodology/approach

In this study, phenolic-based microspheres are taken as modifiers to prepare PAN-based fiber composites by electrospinning, pre-oxidation and carbonization. Pearl-chain structures appear in RFC/ACF composites, and pure polyacrylonitrile fibers show a dense network. The shape and cross-linking degree are large. After the addition of the phenolic-based microspheres, the composite material exhibits a layered pearlite chain structure with a large porosity, and the RFC/ACF composite material is derived because of the existence of a large number of bead chain structures in the composite material. The density increases, the volume declines and the mass after being assembled into a supercapacitor as a positive electrode material decreases. The specific surface area of RFC/ACF composites is increased as compared to pure fibers. The increase in specific surface area could facilitate the diffusion of electrolyte ions in the material. Owing to the large number of bead chains, plenty of pore channels are provided for the diffusion of electrolyte ions, which is conducive to enhancing the electrochemical performance of the composite and improving the RFC/ACF composite and the specific capacitance of the material. The methods of electrochemical testing on symmetric supercapacitors (as positive electrodes) are three-electrode cyclic voltammetry, alternating current impedance and cycle stability.

Findings

The specific capacitance value of the composite material was found to be 389.2 F/g, and the specific capacitance of the electrode operating at a higher current density of 20 mA/cm2 was 11.87 F/g (the amount of the microsphere modifier added was 0.3 g). Using this material as a positive electrode to assemble into asymmetrical supercapacitor, after 2,000 cycles, the specific capacitance retention rate was 87.46 per cent, indicating excellent cycle stability performance. This result can be attributed to the fact that the modifier embedded in the fiber changes the porosity between the fibers, while improving the utilization of the carbon fibers and making it easier for electrolyte ions to enter the interior of the composites, thereby increasing the capacitance of the composites.

Originality/value

The modified PAN-based activated carbon fibers in the study had high specific surface area and significantly high specific capacitance, which makes it applicable as an efficient and environment-friendly absorbent, as well as an advanced electrode material for supercapacitor.

Access Restricted. View access options
Article
Publication date: 5 December 2024

Zhitian Zhang, Hongdong Zhao, Yazhou Zhao, Dan Chen, Ke Zhang and Yanqi Li

In autonomous driving, the inherent sparsity of point clouds often limits the performance of object detection, while existing multimodal architectures struggle to meet the…

20

Abstract

Purpose

In autonomous driving, the inherent sparsity of point clouds often limits the performance of object detection, while existing multimodal architectures struggle to meet the real-time requirements for 3D object detection. Therefore, the main purpose of this paper is to significantly enhance the detection performance of objects, especially the recognition capability for small-sized objects and to address the issue of slow inference speed. This will improve the safety of autonomous driving systems and provide feasibility for devices with limited computing power to achieve autonomous driving.

Design/methodology/approach

BRTPillar first adopts an element-based method to fuse image and point cloud features. Secondly, a local-global feature interaction method based on an efficient additive attention mechanism was designed to extract multi-scale contextual information. Finally, an enhanced multi-scale feature fusion method was proposed by introducing adaptive spatial and channel interaction attention mechanisms, thereby improving the learning of fine-grained features.

Findings

Extensive experiments were conducted on the KITTI dataset. The results showed that compared with the benchmark model, the accuracy of cars, pedestrians and cyclists on the 3D object box improved by 3.05, 9.01 and 22.65%, respectively; the accuracy in the bird’s-eye view has increased by 2.98, 10.77 and 21.14%, respectively. Meanwhile, the running speed of BRTPillar can reach 40.27 Hz, meeting the real-time detection needs of autonomous driving.

Originality/value

This paper proposes a boosting multimodal real-time 3D object detection method called BRTPillar, which achieves accurate location in many scenarios, especially for complex scenes with many small objects, while also achieving real-time inference speed.

Details

International Journal of Intelligent Computing and Cybernetics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-378X

Keywords

Access Restricted. View access options
Article
Publication date: 8 March 2022

Ming K. Lim, Yan Li, Chao Wang and Ming-Lang Tseng

The transportation of fresh food requires cold chain logistics to maintain a low-temperature environment, which can reduce food waste and ensure product safety. Therefore…

581

Abstract

Purpose

The transportation of fresh food requires cold chain logistics to maintain a low-temperature environment, which can reduce food waste and ensure product safety. Therefore, temperature control is a major challenge that cold chain logistics face.

Design/methodology/approach

This research proposes a prediction model of refrigerated truck temperature and air conditioner status (air speed and air temperature) based on hybrid mayfly algorithm (MA) and extreme learning machine (ELM). To prove the effectiveness of the proposed method, the mayfly algorithm–extreme learning machine (MA-ELM) is compared with the traditional ELM and the ELM optimized by classical biological-inspired algorithms, including the genetic algorithm (GA) and particle swarm optimization (PSO). The assessment is conducted through two experiments, including temperature prediction and air conditioner status prediction, based on a case study.

Findings

The prediction method is evaluated by five evaluation indicators, including the mean relative error (MRE), mean absolute error (MAE), mean squared error (MSE), root mean square error (RMSE) and coefficient of determination (R2). It can be concluded that the biological algorithm, especially the MA, can improve the prediction accuracy. This result clearly proves the effectiveness of the proposed hybrid prediction model in revealing the nonlinear patterns of the cold chain logistics temperature.

Research limitations/implications

The case study illustrates the effectiveness of the proposed temperature prediction method, which helps to keep the product fresh. Even though the performance of MA is better than GA and PSO, the MA has the disadvantage of premature convergence. In the future, the modified MA can be designed to improve the performance of MA-ELM.

Originality/value

In prior studies, many scholars have conducted related research on the subject of temperature monitoring. However, this monitoring method can only identify temperature deviations that have occurred that harmed fresh food. As a countermeasure, research on the temperature prediction of cold chain logistics that can actively identify temperature changes has become the focus. Once a temperature deviation is predicted, temperature control measures can be taken in time to resolve the risk.

Details

Industrial Management & Data Systems, vol. 122 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

Access Restricted. View access options
Article
Publication date: 20 January 2022

Kuo Jui Wu, Yan Bin, Maomao Ren, Ming-Lang Tseng, Qing Wang and Anthony S.F. Chiu

This study is to reconfigure a hierarchical supply chain model utilizing databases and text files to understand future pathways due to COVID-19 pandemic has had a bullwhip effect…

639

Abstract

Purpose

This study is to reconfigure a hierarchical supply chain model utilizing databases and text files to understand future pathways due to COVID-19 pandemic has had a bullwhip effect, disrupting the global supply chain, and a mechanism is needed to address this disruptive event under pandemic uncertainties.

Design/methodology/approach

To address this mechanism, this study employs bibliometric analysis and text mining to reconfigure a hierarchical supply chain model under pandemic conditions and associates it with social media to conduct an intuitive visual analysis.

Findings

The current academic concerns are related to an overconcentration on risk management and a data-driven approach, generating an enormous gap between the concerns of academics and those of the public. The evidence shows that for both countries with outstanding performance and those that need improvement, the efficiency in terms of preventing the spread of the pandemic should be promoted.

Originality/value

This study contributes to (1) reconfiguring a hierarchical supply chain model under pandemic uncertainties and (2) bridging theory and practice by offering comparable interrelated attributes to guide post-COVID-19 strategies in the supply chain. The findings are that the supply management approach and big data are attributes that involve the concerns of world public and academics under pandemic uncertainties.

Details

Industrial Management & Data Systems, vol. 122 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

1 – 10 of 912
Per page
102050