Search results

1 – 10 of 13
Open Access
Article
Publication date: 10 May 2022

Yuhan Liu, Linhong Wang, Ziling Zeng and Yiming Bie

The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill.

Abstract

Purpose

The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill.

Design/methodology/approach

Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed, to minimize the electricity costs of daily operation of an electric bus. The charging time is taken as the optimization variable. The TOD electricity tariff is considered, and the energy consumption model is developed based on real operation data. An optimal charging plan provides charging times at bus idle times in operation hours during the whole day (charging time is 0 if the bus is not get charged at idle time) which ensure the regular operation of every trip served by this bus.

Findings

The electricity costs of the bus route can be reduced by applying the optimal charging plans.

Originality/value

This paper produces a viable option for transit agencies to reduce their operation costs.

Details

Journal of Intelligent and Connected Vehicles, vol. 5 no. 2
Type: Research Article
ISSN: 2399-9802

Keywords

Article
Publication date: 1 July 2005

Yuhan Liu

Defines dumping as the sale of goods onto the market of an importing country at less than their normal value on the domestic market, and explains the economic rationale…

1518

Abstract

Defines dumping as the sale of goods onto the market of an importing country at less than their normal value on the domestic market, and explains the economic rationale behind dumping. Reviews the origin of anti‐dumping laws, and the objectives of applying anti‐dumping duty legislation to non‐market economy countries, with reference to European Union (EU) anti‐dumping measures against China; the latter is still viewed as a non‐market economy. Indicates the impact of the EU anti‐dumping campaign on Chinese industries and legal strategies for challenging the EU anti‐dumping campaign. Concludes that the campaign is unfair and should now recognise the progress of economic reform in China, which since 2001 is a member of the World Trade Organization.

Details

Journal of Financial Crime, vol. 12 no. 3
Type: Research Article
ISSN: 1359-0790

Keywords

Article
Publication date: 28 July 2020

Hak Yoon Kim, Joon Hyung Park and Hyun Jeong Kim

The purpose of this study is to identify and explore what leadership characteristics constitute humanistic leadership in the South Korean context. Moreover, this study…

Abstract

Purpose

The purpose of this study is to identify and explore what leadership characteristics constitute humanistic leadership in the South Korean context. Moreover, this study examines how these leadership characteristics are connected to Korean culture.

Design/methodology/approach

Based on the information gathered from semi-structured interviews and other sources, including books, case study articles and news articles, this study captures a more comprehensive perspective of Mr. Kook-Hyun Moon, the former CEO of Yuhan–Kimberly.

Findings

The key characteristics of Mr. Moon's humanistic leadership that are identified in this study are: respect for all mankind, benevolence (seeking the greater good), sincerity (building trusting relationships with stakeholders) and continuous learning and innovation (developing self and others). These key characteristics set Mr. Moon apart from other leaders and are connected to the fundamental values and philosophies of Korean culture.

Originality/value

This study contributes to the current leadership literature by identifying and exploring Mr. Moon's humanistic leadership characteristics that enable him to gain respect and contribute to communities and society in the South Korean context. This study also finds that the humanistic leadership characteristics of Mr. Moon reflect three major attributes of Korean culture: the ideology of the Dangun mythology, the principle of Neo-Confucianism in Korea and jeong – an indigenous cultural concept in Korea (these attributes will be discussed in detail in the South Korean values and philosophies section). Such reflection suggests that investigating how humanistic leadership characteristics are connected to local cultural roots is important to enhance the understanding of humanistic leadership.

Details

Cross Cultural & Strategic Management, vol. 27 no. 4
Type: Research Article
ISSN: 2059-5794

Keywords

Article
Publication date: 26 November 2020

Yuhan Li, Xiaolin Mu, Haiting Kong, Hongchun Pan and Hong Liu

In view of the current difficulty of separation of troxerutin, the purpose of the paper is to separate and purify semi-synthetic flavonoid compound troxerutin by…

Abstract

Purpose

In view of the current difficulty of separation of troxerutin, the purpose of the paper is to separate and purify semi-synthetic flavonoid compound troxerutin by macroporous adsorption resin (SZ-3).

Design/methodology/approach

Comparing the adsorption performance and resolution of three different polar resins and choosing a resin to optimize the process parameters such as sample volume, eluent concentration and elution temperature to obtain high-purity troxerutin. After separating and enriching by resin column chromatography, detected the sample by LC-MS analysis.

Findings

This research found that the optimal conditions of the adsorption and desorption were sample volume S = 90 mg/g resin, methanol concentration C = 25%, T = 20 °C. the content of troxerutin increased significantly from 88% to more than 96%. Then confirmed the sample was troxerutin by LC-MS. In addition, the resin could be used for at least 10 cycles in the separation and purification experiments of troxerutin.

Originality/value

Purification of troxerutin with new SZ-3 resin for the first time. Under the optimal conditions, the purity and recovery of troxerutin was 96.4% and 39%. In this study, the authors established a purification process of troxerutin successfully that was simple, economical, environment friendly, with high purity and high recovery rate to provide a reference program for changing the status of troxerutin separation difficulties.

Details

Pigment & Resin Technology, vol. 50 no. 4
Type: Research Article
ISSN: 0369-9420

Keywords

Article
Publication date: 26 May 2021

Yuhan Luo and Mingwei Lin

The purpose of this paper is to make an overview of 474 publications and 512 patents of FTL from 1987 to 2020 in order to provide a conclusive and comprehensive analysis…

Abstract

Purpose

The purpose of this paper is to make an overview of 474 publications and 512 patents of FTL from 1987 to 2020 in order to provide a conclusive and comprehensive analysis for researchers in this field, as well as a preliminary knowledge of FTL for interested researchers.

Design/methodology/approach

Firstly, the FTL algorithms are classified and its functions are introduced in detail. Secondly, the structures of the publications are analyzed in terms of the fundamental information and the publication of the most productive countries/regions, institutions and authors. After that, co-citation networks of institutions, authors and papers illustrated by VOS Viewer are given to show the relationship among those and the most influential of them is further analyzed. Then, the characteristics of the patent are analyzed based on the basic information and classification of the patent and the most productive inventors. In order to obtain research hotspots and trends in this field, the time-line review and citation burst detection of keywords carried out by Cite Space are made to be visual. Finally, based on the above analysis, it draws some other important conclusions and the development trend of this field.

Findings

The research on FTL algorithm is still the top priority in the future, and how to improve the performance of SSD in the era of big data is one of the research hotspots.

Research limitations/implications

This paper makes a comprehensive analysis of FTL with the method of bibliometrics, and it is valuable for researchers can quickly grasp the hotspots in this area.

Originality/value

This article draws the structural characteristics of the publications in this field and summarizes the research hotspots and trends in this field in recent years, aiming to inspire new ideas for researchers.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 14 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 26 April 2022

Yunfei Fan, Yilian Zhang, Huang Jie, Tang Yue, Qingzhen Bi and Yuhan Wang

This paper aims to propose a novel model and calibration method to improve the absolute positioning accuracy of a robotic drilling system with secondary encoders and…

Abstract

Purpose

This paper aims to propose a novel model and calibration method to improve the absolute positioning accuracy of a robotic drilling system with secondary encoders and additional axis.

Design/methodology/approach

The enhanced rigid-flexible coupling model is developed by considering both kinematic parameters and link flexibility. The kinematic errors of the robot and the additional axis are considered with a model containing 27 parameters. The elastic deformation errors of the robot under self-weight of links and end-effector are estimated with a flexible link model. For calibration, an effective comprehensive calibration method is developed by further considering the coordinate systems parameters of the drilling system and using a two-step process constrained Levenberg–Marquardt identification method.

Findings

Experiments are performed on the robotic drilling system that contains a KUKA KR500 R2830 industrial robot and an additional lifting axis with a laser tracker. The results show that the maximum error and mean error are reduced to 0.311 and 0.136 mm, respectively, which verify the effectiveness of the model and the calibration method.

Originality/value

A novel enhanced rigid-flexible coupling model and a practical comprehensive calibration method are proposed and verified. The experiments results indicate that the absolute positioning accuracy of the system in a large workspace is greatly improved, which is conducive to the application of industrial robots in the field of aerospace assembly.

Details

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

Keywords

Article
Publication date: 19 September 2019

Jinying Xu, Ke Chen, Anna Elizabeth Zetkulic, Fan Xue, Weisheng Lu and Yuhan Niu

The practice of facility management (FM) has been evolving with the rapid development of pervasive sensing technologies (PSTs) such as sensors, automatic identification…

Abstract

Purpose

The practice of facility management (FM) has been evolving with the rapid development of pervasive sensing technologies (PSTs) such as sensors, automatic identification (auto-ID), laser scanning and photogrammetry. Despite the proliferation of research on the use of PSTs for FM, a comprehensive review of such research is missing from the literature. This study aims to cover the knowledge void by examining the status quo and challenges of the selected PSTs with a focus on FM.

Design/methodology/approach

This paper reviewed 204 journal papers recounting cases of using PSTs for FM. The reviewed papers were extracted from Elsevier Scopus database using the advanced search.

Findings

Findings of this study revealed that PSTs and FM applications form a many-to-many mapping, i.e. one PST could facilitate many FM applications, and one application can also be supported by various PSTs. It is also found that energy modeling and management is the most referred purpose in FM to adopt PSTs, while space management, albeit important, received the least attention. Five challenges are identified, which include high investment on PSTs, data storage problem, absence of proper data exchange protocols for data interoperability, a lack of mature data processing methods for data utilization and privacy of users.

Originality/value

This paper paints a full picture of PSTs adoption for FM. It pinpoints the promising explorations for tackling the key challenges to future development.

Details

Facilities , vol. 38 no. 1/2
Type: Research Article
ISSN: 0263-2772

Keywords

Article
Publication date: 29 November 2021

Dandan Xu, Shuo Yan, Yuhan Zhang, Si Zhang, Yoshiteru Nakamori and Lili Chen

Taking the COVID-19 as the background, this study aims to investigate the direct influencing factors regarding knowledge sharing behavior (KSB) on new media platforms and…

Abstract

Purpose

Taking the COVID-19 as the background, this study aims to investigate the direct influencing factors regarding knowledge sharing behavior (KSB) on new media platforms and discuss how the characteristics of the users could enhance the KSB through moderation effect, and provide empirical evidences.

Design/methodology/approach

Based on the social exchange theory and after the text analysis of the data collected from the Tiktok platform in 2020, this paper uses the quantitative method to evaluate the factors influence KSB on short video social platform during the COVID-19 outbreak.

Findings

KSB on new media platform could be enhanced by richer knowledge content of the video posted and the attribute of the platform users directly. Platform users could affect the trustworthiness of the knowledge shared, thus influence the knowledge sharing. On the early stage of the COVID-19, the richer content of the knowledge released by users could effectively enhance the KSB. On the early stage of the emergency events, the official users could play a significant role on KS. During the mitigation stage of COVID-19, the KSB of the knowledge shared by unofficial users with richer content could be enhanced and the moderation effect is relatively stronger.

Originality/value

The research extends the social exchange theory to a disaster management context. The authors provide an effective reference for future governments to effectively cope with the epidemic and spread public knowledge in an emergency response context. By analyzing the influence of knowledge content and influencer characteristics, it could help the social media platform to improve content management and optimize resource allocation.

Details

Journal of Knowledge Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 24 September 2020

Pingping Fu, Ernst Von Kimakowitz, Michal Lemanski and Leigh Anne Liu

Abstract

Details

Cross Cultural & Strategic Management, vol. 27 no. 4
Type: Research Article
ISSN: 2059-5794

Keywords

Article
Publication date: 25 May 2022

Yee Sye Lee, Ali Rashidi, Amin Talei, Mehrdad Arashpour and Farzad Pour Rahimian

In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and…

Abstract

Purpose

In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management.

Design/methodology/approach

This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions.

Findings

The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs.

Originality/value

This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.

1 – 10 of 13