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Article
Publication date: 2 August 2019

Chengtao Wang, Wei Li, Yuqiao Wang, Xuefeng Yang, Shaoyi Xu, Kunpeng Li and Yunyun Zhao

The purpose of this paper is to predict quantitative level of stray current leaking to the buried metallic structure by establishing convolution neural network (CNN) model.

Abstract

Purpose

The purpose of this paper is to predict quantitative level of stray current leaking to the buried metallic structure by establishing convolution neural network (CNN) model.

Design/methodology/approach

First, corrosion experimental system of buried metallic structure is established. The research object of this paper is the polarization potential within 110 min, CNN model is used to predict the quantitative level of stray current leakage using the data from corrosion experimental system further. Finally, results are compared with the method using BP neural network.

Findings

Results show that the CNN model has better predictive effect and shorter prediction time than the BP model, the accuracy of which is 82.5507 per cent, and the prediction time is shortened by more than 10 times.

Originality/value

The established model can be used to forecast the level of stray current leakage in the subway system effectively, which provides a new theoretical basis for evaluating the stray current corrosion hazard of buried metallic structure.

Details

Anti-Corrosion Methods and Materials, vol. 66 no. 4
Type: Research Article
ISSN: 0003-5599

Keywords

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Article
Publication date: 1 December 2017

Shaoyi Xu, Fangfang Xing, Ruilin Wang, Wei Li, Yuqiao Wang and Xianghui Wang

At present, one of the key equipment in pillar industries is a large rotating machinery. Conducting regular health monitoring is important for ensuring safe operation of…

Abstract

Purpose

At present, one of the key equipment in pillar industries is a large rotating machinery. Conducting regular health monitoring is important for ensuring safe operation of the large rotating machinery. Because vibrations sensors play an important role in the workings of the rotating machinery, measuring its vibration signal is an important task in health monitoring. This paper aims to present these.

Design/methodology/approach

In this work, the contact vibration sensor and the non-contact vibration sensor have been discussed. These sensors consist of two types: the electric vibration sensor and the optical fiber vibration sensor. Their applications in the large rotating machinery for the purpose of health monitoring are summarized, and their advantages and disadvantages are also presented.

Findings

Compared with the electric vibration sensor, the optical fiber vibration sensor of large rotating machinery has unique advantages in health monitoring, such as provision of immunity against electromagnetic interference, requirement of less insulation and provision of long-distance signal transmission.

Originality/value

Both contact vibration sensor and non-contact vibration sensor have been discussed. Among them, the electric vibration sensor and the optical fiber vibration sensor are compared. Future research direction of the vibration sensors is presented.

Details

Sensor Review, vol. 38 no. 1
Type: Research Article
ISSN: 0260-2288

Keywords

Content available
Article
Publication date: 31 July 2020

Omar Alqaryouti, Nur Siyam, Azza Abdel Monem and Khaled Shaalan

Digital resources such as smart applications reviews and online feedback information are important sources to seek customers’ feedback and input. This paper aims to help…

Abstract

Digital resources such as smart applications reviews and online feedback information are important sources to seek customers’ feedback and input. This paper aims to help government entities gain insights on the needs and expectations of their customers. Towards this end, we propose an aspect-based sentiment analysis hybrid approach that integrates domain lexicons and rules to analyse the entities smart apps reviews. The proposed model aims to extract the important aspects from the reviews and classify the corresponding sentiments. This approach adopts language processing techniques, rules, and lexicons to address several sentiment analysis challenges, and produce summarized results. According to the reported results, the aspect extraction accuracy improves significantly when the implicit aspects are considered. Also, the integrated classification model outperforms the lexicon-based baseline and the other rules combinations by 5% in terms of Accuracy on average. Also, when using the same dataset, the proposed approach outperforms machine learning approaches that uses support vector machine (SVM). However, using these lexicons and rules as input features to the SVM model has achieved higher accuracy than other SVM models.

Details

Applied Computing and Informatics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2634-1964

Keywords

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Article
Publication date: 10 November 2020

Md Thohidul Karim and Xu Qi

Multi-channel business operations are standard practice in most business contexts today. The popularity of multi-channel adoption among developing countries is growing…

Abstract

Purpose

Multi-channel business operations are standard practice in most business contexts today. The popularity of multi-channel adoption among developing countries is growing fast. In Bangladesh, the retailers who adopted multi-channel retailing have been getting a very good response from the consumers. This study aims to understand the factors that influence manufacturers’ decisions to adopt multiple channels in Bangladesh. The authors applied an extended technology acceptance model with three variables: business innovation, business competition and consumer satisfaction.

Design/methodology/approach

Partial least squares-structural equation modeling was applied to test the data collected from 157 companies and relevant hypotheses.

Findings

The study findings show that Bangladeshi manufacturers are positive about, and expect benefits from, applying the new channel. The study also revealed that customer satisfaction considerably affects multi-channel adoption in Bangladesh. Similarly, business innovation and business competition play a significant role in introducing multiple business channels.

Research limitations/implications

This research was conducted in Bangladesh, and data are collected from Dhaka and Chittagong that may limit the generalizability of findings.

Practical implications

The research goal was to understand a manufacturer’s perception to adopt multi-channel in business. The proposed research model was able to address the major factors that drive a manufacturer to introduce multiple business channels, especially in Bangladesh.

Originality/value

Many research and case studies have been done the past couple of decades, but most of them are consumer oriented. Little research has been done to investigate a manufacturer’s point of view adapting innovation in business. Though some research articles are available online, most of them from developed countries. So, the study’s goal was to study developing countries scenario; thus, the authors choose Bangladesh.

Details

Journal of Asia Business Studies, vol. 15 no. 2
Type: Research Article
ISSN: 1558-7894

Keywords

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