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Article
Publication date: 13 December 2024

Rongkun Liu and Furui Zhao

The integrated and coordinated development of the manufacturing and logistics industries is crucial for promoting deep integration and innovative development between the two…

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Abstract

Purpose

The integrated and coordinated development of the manufacturing and logistics industries is crucial for promoting deep integration and innovative development between the two sectors. It aids in reducing costs and enhancing efficiency, which is significant for high-quality economic growth and the acceleration of modern industrial system construction.

Design/methodology/approach

This paper explores the integrated development status of the two industries in Shandong and Jiangsu provinces. Based on the relevant data of 44 indicators from the manufacturing and logistics industries in these provinces from 2010 to 2021, a comprehensive evaluation index system is constructed. The study employs coupling coordination degree and grey correlation models to comparatively analyze the integrated development status of the two industries in the provinces.

Findings

The findings indicate that the coupling coordination degree of Jiangsu and Shandong provinces has shown a gentle spiraling upward trend. By 2021, Jiangsu province had achieved intermediate coordination, and Shandong province had achieved good coordination. The grey correlation degree is within the moderate and strong correlation range, but the impact of efficiency indicators is weak.

Research limitations/implications

The research has limitations, including a focus on specific provinces, potential data constraints and a need for further exploration of the dynamic and influencing factors of the industries' coordinated development for more comprehensive conclusions.

Practical implications

The research provides practical significance by offering insights into the coordinated development of manufacturing and logistics industries, which can inform policymaking and strategic planning for regional economic integration and supply chain efficiency.

Social implications

The study’s findings offer actionable insights for policymakers, promoting regional economic synergy and supply chain optimization. It emphasizes the crucial role of industry integration in advancing high-quality economic growth, aligning with modern industrial system development goals.

Originality/value

This research’s innovation lies in its comprehensive evaluation index system and the application of coupling coordination degree and grey relational analysis models, offering a nuanced assessment of the integrated development between manufacturing and logistics industries in Jiangsu and Shandong provinces. It provides valuable insights for policymakers aiming to enhance regional economic integration and supply chain efficiency.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

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Article
Publication date: 30 December 2021

Bo Zeng, Hongwei Liu, Hongzhou Song, Zhe Zhao, Shaowei Fan, Li Jiang, Yuan Liu, Zhiyuan Yu, Xiaorong Zhu, Jing Chen and Ting Zhang

The purpose of this paper is to design a multi-sensory anthropomorphic prosthetic hand and a grasping controller that can detect the slip and automatically adjust the grasping…

271

Abstract

Purpose

The purpose of this paper is to design a multi-sensory anthropomorphic prosthetic hand and a grasping controller that can detect the slip and automatically adjust the grasping force to prevent the slip.

Design/methodology/approach

To improve the dexterity, sensing, controllability and practicability of a prosthetic hand, a modular and multi-sensory prosthetic hand was presented. In addition, a slip prevention control based on the tactile feedback was proposed to improve the grasp stability. The proposed controller identifies slippages through detecting the high-frequency vibration signal at the sliding surface in real time and the discrete wavelet transform (DWT) was used to extract the eigenvalues to identify slippages. Once the slip is detected, a direct-feedback method of adjusting the grasp force related with the sliding times was used to prevent it. Furthermore, the stiffness of different objects was estimated and used to improve the grasp force control. The performances of the stiffness estimation, slip detection and slip control are experimentally evaluated.

Findings

It was found from the experiment of stiffness estimation that the accuracy rate of identification of the hard metal bottle could reach to 90%, while the accuracy rate of identification of the plastic bottles could reach to 80%. There was a small misjudgment rate in the identification of hard and soft plastic bottles. The stiffness of soft plastic bottles, hard plastic bottles and metal bottles were 0.64 N/mm, 1.36 N/mm and 32.55 N/mm, respectively. The results of slip detection and control show that the proposed prosthetic hand with a slip prevention controller can fast and effectively detect and prevent the slip for different disturbances, which has a certain application prospect.

Practical implications

Due to the small size, low weight, high integration and modularity, the prosthetic hand is easily applied to upper-limb amputees. Meanwhile, the method of the slip prevention control can be used for upper-limb amputees to complete more tasks stably in daily lives.

Originality/value

A multi-sensory anthropomorphic prosthetic hand is designed, and a method of stable grasps control based on slip detection by a tactile sensor on the fingertip is proposed. The method combines the stiffness estimation of the object and the real-time slip detection based on DWT with the design of the proportion differentiation robust controller based on a disturbance observer and the force controller to achieve slip prevention and stable grasps. It is verified effectively by the experiments and is easy to be applied to commercial prostheses.

Details

Industrial Robot: the international journal of robotics research and application, vol. 49 no. 2
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 24 October 2022

Hyojeong Lee and Yejin Lee

To provide guidelines for the development of textile electrode compression pants that collect reliable signals during surface electromyography (sEMG) measurements and maintain a…

229

Abstract

Purpose

To provide guidelines for the development of textile electrode compression pants that collect reliable signals during surface electromyography (sEMG) measurements and maintain a comfortable level of pressure.

Design/methodology/approach

To increase skin adhesion, 12 textile electrode bands for biceps brachii were prepared according to a combination of variables, namely, the type of the textile electrode, the pressure level and the presence or absence of an electrolyte. The dry textile electrode adopted herein was developed in terms of the size and material of the contact area, and a new electrode design was proposed. After examining the optimal design conditions by measuring the sEMGs during isometric exercise of the biceps brachii, prototype pants were designed based on the design variables that gave the most promising evaluation results. The completed prototype pants were verified through isometric thigh muscle exercises.

Findings

It was confirmed that the textile electrode was capable of EMG measurement with an excellent signal quality. Upon considering the comfort of wearing the device and the cost efficiency of dry electrodes, prototype pants that adopted a fit relative to a light clothing pressure (i.e. thigh: 1.3–1.9 kPa), and combined both silicon and silver thread embroidery with a wide contact area for stability, were designed and their sEMG measurements were confirmed.

Originality/value

In this study, wearable clothing based on textile electrodes was developed to ensure a comfortable fit from the wearer's perspective, and a design method was proposed for the development of low-cost SmartWear electrodes and circuits.

Details

International Journal of Clothing Science and Technology, vol. 35 no. 1
Type: Research Article
ISSN: 0955-6222

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Book part
Publication date: 13 June 2013

Li Xiao, Hye-jin Kim and Min Ding

Purpose – The advancement of multimedia technology has spurred the use of multimedia in business practice. The adoption of audio and visual data will accelerate as marketing…

Abstract

Purpose – The advancement of multimedia technology has spurred the use of multimedia in business practice. The adoption of audio and visual data will accelerate as marketing scholars become more aware of the value of audio and visual data and the technologies required to reveal insights into marketing problems. This chapter aims to introduce marketing scholars into this field of research.Design/methodology/approach – This chapter reviews the current technology in audio and visual data analysis and discusses rewarding research opportunities in marketing using these data.Findings – Compared with traditional data like survey and scanner data, audio and visual data provides richer information and is easier to collect. Given these superiority, data availability, feasibility of storage, and increasing computational power, we believe that these data will contribute to better marketing practices with the help of marketing scholars in the near future.Practical implications: The adoption of audio and visual data in marketing practices will help practitioners to get better insights into marketing problems and thus make better decisions.Value/originality – This chapter makes first attempt in the marketing literature to review the current technology in audio and visual data analysis and proposes promising applications of such technology. We hope it will inspire scholars to utilize audio and visual data in marketing research.

Details

Review of Marketing Research
Type: Book
ISBN: 978-1-78190-761-0

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Article
Publication date: 9 September 2014

Tung Thanh Nguyen, Tho Thanh Quan and Tuoi Thi Phan

The purpose of this paper is to discuss sentiment search, which not only retrieves data related to submitted keywords but also identifies sentiment opinion implied in the…

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Abstract

Purpose

The purpose of this paper is to discuss sentiment search, which not only retrieves data related to submitted keywords but also identifies sentiment opinion implied in the retrieved data and the subject targeted by this opinion.

Design/methodology/approach

The authors propose a retrieval framework known as Cross-Domain Sentiment Search (CSS), which combines the usage of domain ontologies with specific linguistic rules to handle sentiment terms in textual data. The CSS framework also supports incrementally enriching domain ontologies when applied in new domains.

Findings

The authors found that domain ontologies are extremely helpful when CSS is applied in specific domains. In the meantime, the embedded linguistic rules make CSS achieve better performance as compared to data mining techniques.

Research limitations/implications

The approach has been initially applied in a real social monitoring system of a professional IT company. Thus, it is proved to be able to handle real data acquired from social media channels such as electronic newspapers or social networks.

Originality/value

The authors have placed aspect-based sentiment analysis in the context of semantic search and introduced the CSS framework for the whole sentiment search process. The formal definitions of Sentiment Ontology and aspect-based sentiment analysis are also presented. This distinguishes the work from other related works.

Details

Aslib Journal of Information Management, vol. 66 no. 5
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 27 April 2018

Tai-Chia Huang, Chia-Hsuan Hsieh and Hei-Chia Wang

Producing meeting documents requires an instantaneous recorder during meetings, which costs extra human resources and takes time to amend the file. However, a high-quality meeting…

401

Abstract

Purpose

Producing meeting documents requires an instantaneous recorder during meetings, which costs extra human resources and takes time to amend the file. However, a high-quality meeting document can enable users to recall the meeting content efficiently. The paper aims to discuss these issues.

Design/methodology/approach

An application based on this framework is developed to help the users find topics and obtain summarizations of meeting contents without extra effort. This app uses the Bluemix speech recognizer to obtain speech transcripts. It then combines latent Dirichlet allocation and a TextTiling algorithm with the speech script of meetings to detect boundaries between different topics and evaluate the topics in each segment. TextTeaser, an open API based on a feature-based approach, is then used to summarize the speech transcripts.

Findings

The results indicate that the summaries generated by the machine are 85 percent similar to the records written by humankind.

Originality/value

To reduce the human effort in generating meeting reports, this paper presents a framework to record and analyze meeting contents automatically by voice recognition, topic detection, and extractive summarization.

Details

Data Technologies and Applications, vol. 52 no. 3
Type: Research Article
ISSN: 2514-9288

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