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Article
Publication date: 25 July 2018

Ke Yi Zhou and Shaolin Hu

The similarity measurement of time series is an important research in time series detection, which is a basic work of time series clustering, anomaly discovery, prediction…

Abstract

Purpose

The similarity measurement of time series is an important research in time series detection, which is a basic work of time series clustering, anomaly discovery, prediction and many other data mining problems. The purpose of this paper is to design a new similarity measurement algorithm to improve the performance of the original similarity measurement algorithm. The subsequence morphological information is taken into account by the proposed algorithm, and time series is represented by a pattern, so the similarity measurement algorithm is more accurate.

Design/methodology/approach

Following some previous researches on similarity measurement, an improved method is presented. This new method combines morphological representation and dynamic time warping (DTW) technique to measure the similarities of time series. After the segmentation of time series data into segments, three parameter values of median, point number and slope are introduced into the improved distance measurement formula. The effectiveness of the morphological weighted DTW algorithm (MW-DTW) is demonstrated by the example of momentum wheel data of an aircraft attitude control system.

Findings

The improved method is insensitive to the distortion and expansion of time axis and can be used to detect the morphological changes of time series data. Simulation results confirm that this method proposed in this paper has a high accuracy of similarity measurement.

Practical implications

This improved method has been used to solve the problem of similarity measurement in time series, which is widely emerged in different fields of science and engineering, such as the field of control, measurement, monitoring, process signal processing and economic analysis.

Originality/value

In the similarity measurement of time series, the distance between sequences is often used as the only detection index. The results of similarity measurement should not be affected by the longitudinal or transverse stretching and translation changes of the sequence, so it is necessary to incorporate the morphological changes of the sequence into similarity measurement. The MW-DTW is more suitable for the actual situation. At the same time, the MW-DTW algorithm reduces the computational complexity by transforming the computational object to subsequences.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 11 no. 4
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 15 May 2019

Haoqiang Shi, Shaolin Hu and Jiaxu Zhang

Abnormal changes in temperature directly affect the stability and reliability of a gyroscope. Predicting the temperature and detecting the abnormal change is great value…

Abstract

Purpose

Abnormal changes in temperature directly affect the stability and reliability of a gyroscope. Predicting the temperature and detecting the abnormal change is great value for timely understanding of the working state of the gyroscope. Considering that the actual collected gyroscope shell temperature data have strong non-linearity and are accompanied by random noise pollution, the prediction accuracy and convergence speed of the traditional method need to be improved. The purpose of this paper is to use a predictive model with strong nonlinear mapping ability to predict the temperature of the gyroscope to improve the prediction accuracy and detect the abnormal change.

Design/methodology/approach

In this paper, an double hidden layer long-short term memory (LSTM) is presented to predict temperature data for the gyroscope (including single point and period prediction), and the evaluation index of the prediction effect is also proposed, and the prediction effects of shell temperature data are compared by BP network, support vector machine (SVM) and LSTM network. Using the estimated value detects the abnormal change of the gyroscope.

Findings

By combined simulation calculation with the gyroscope measured data, the effect of different network hyperparameters on shell temperature prediction of the gyroscope is analyzed, and the LSTM network can be used to predict the temperature (time series data). By comparing the performance indicators of different prediction methods, the accuracy of the shell temperature estimation by LSTM is better, which can meet the requirements of abnormal change detection. Quick and accurate diagnosis of different types of gyroscope faults (steps and drifts) can be achieved by setting reasonable data window lengths and thresholds.

Practical implications

The LSTM model is a deep neural network model with multiple non-linear mapping levels, and can abstract the input signal layer by layer and extract features to discover deeper underlying laws. The improved method has been used to solve the problem of strong non-linearity and random noise pollution in time series, and the estimated value can detect the abnormal change of the gyroscope.

Originality/value

In this paper, based on the LSTM network, an double hidden layer LSTM is presented to predict temperature data for the gyroscope (including single point and period prediction), and validate the effectiveness and feasibility of the algorithm by using shell temperature measurement data. The prediction effects of shell temperature data are compared by BP network, SVM and LSTM network. The LSTM network has the best prediction effect, and is used to predict the temperature of the gyroscope to improve the prediction accuracy and detect the abnormal change.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 12 no. 2
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 6 June 2008

Hu Shaolin, Sun Guoji, Ouyang Huajiang and Chen Rushan

The purpose of this paper is to present research in detecting and identifying abrupt faults in controlled auto‐regressive (CAR) processes.

Abstract

Purpose

The purpose of this paper is to present research in detecting and identifying abrupt faults in controlled auto‐regressive (CAR) processes.

Design/methodology/approach

Model‐based approach is adopted in this paper. Two series of fault‐tolerant iterative estimators are set up to estimate online the coefficients in a CAR process. Based on these fault‐tolerant estimators, the detailed detecting and identifying algorithms are obtained for not only the pulse‐type faults but also the step‐type faults in CAR process.

Findings

This paper illustrates the useful information that can be obtained from residuals and that can be used to detect pulse‐type faults as well as step‐type faults. A fault‐tolerant recursive estimator for the coefficients of the CAR process is put forward. Using a simple transformation from step‐ to pulse‐type faults, all kinds of diagnosis methods to detect and identify step‐type faults can be used.

Research limitations/implications

Fault‐tolerant estimators and fault detection and identification algorithms are aimed at abrupt faults in CAR processes.

Practical implications

Most of the algorithms given in this paper can be used in many different fields, such as process monitoring, safety control and change detection, etc.

Originality/value

This paper contributes to research of abrupt faults and abrupt changes in a CAR process and emphasizes identification of magnitudes of abrupt faults. The fault‐tolerant estimators are effective not only to detect faults but also to identify safely the coefficients CAR model.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 1 no. 2
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 1 March 2004

Lori Riley

This research outlines the Hong Kong film industry with examination of key actors, directors, films, and production companies within the martial arts genre of Hong Kong…

Abstract

This research outlines the Hong Kong film industry with examination of key actors, directors, films, and production companies within the martial arts genre of Hong Kong Action Cinema. Hong Kong Film Award winners and nominees, core films within genres, and core reference works both general and theoretical from experts in the field of Hong Kong martial arts film research have been highlighted. Web sites are suggested that provide reviews of Hong Kong martial arts films, biographical information on a variety of actors and actresses as well as comprehensive bibliographic information on select films. Also included are commercial Web sites that provide Hong Kong martial arts films.

Details

Collection Building, vol. 23 no. 1
Type: Research Article
ISSN: 0160-4953

Keywords

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Article
Publication date: 5 August 2014

Yi Chen, Zhuowei (Joy) Huang and Liping A. Cai

The current study aims at exploring China’s tourism sustainability issues as indicated in magazine articles related to China tourism. China’s environmental, socio-cultural…

Abstract

Purpose

The current study aims at exploring China’s tourism sustainability issues as indicated in magazine articles related to China tourism. China’s environmental, socio-cultural and economic sustainability has been frequently discussed in Western media.

Design/methodology/approach

Both qualitative and quantitative research methodologies were used to content analyze the textual data in one of the most popular US travel magazine – National Geographic in the past ten years (2003-2012).

Findings

This study presents the changes of topics on China tourism image conveyed by Western media in the past ten years (2013-2012). In addition, themes on China tourism sustainability issues are extracted from the China tourism image messages. The results reveal China tourism sustainability issues in two levels: sustainability issues directly related to China tourism with two dimensions of environmental sustainability and socio-cultural sustainability, and sustainability issues indirectly related to China tourism with two dimensions of economic sustainability and socio-cultural sustainability. Furthermore, the results delineate both positive and negative observations on environmental, socio-cultural and economic sustainability.

Originality/value

The findings of the study highlight challenges and successful practices of the sustainable development in China tourism destinations and the importance of incorporating tourism image in sustainable practices, as well as a need of better communication with foreign media.

Details

International Journal of Contemporary Hospitality Management, vol. 26 no. 6
Type: Research Article
ISSN: 0959-6119

Keywords

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Article
Publication date: 27 July 2012

Bing Wang

The purpose of this paper is to reargue the great controversies surrounding marketization, by the concept of intrinsic value and to give a panorama of China's…

Abstract

Purpose

The purpose of this paper is to reargue the great controversies surrounding marketization, by the concept of intrinsic value and to give a panorama of China's marketization and social development during last 30 years.

Design/methodology/approach

The concept of intrinsic value is elaborated, and marketization and closely linked concepts such as price, wealth, happiness, freedom, etc. are reargued. An intrinsic value account (IVA) is constructed and the enhancement and weakening of some intrinsic values could be clearly shown. A panorama of China's marketization and social development is exhibited by IVA.

Findings

The basic point of this paper is that social development is a concept with strong but implicit ethical assumption and should be explicitly based upon intrinsic value. Without concrete definition and consensus on intrinsic value, it will face great disputes on judging human history as social development or social degradation. Market is not only an objective value‐neural system, but a subjective moral entity. China's maketization has enhanced economic value greatly, but suffered great loss by other intrinsic values.

Practical implications

IVA could be a practical instrument to evaluate social development and clarify the possible academic controversies on market. The arguments of China's marketization experience could be of benefit to other developing countries.

Social implications

This paper could encourage people, particularly policy makers, to consider their value assumptions, value priority, some basic concepts in market, and what human kind is really pursuing.

Originality/value

The paper shows that IVA could be a new instrument to better evaluate social development, similar to the National Income Account or National Happiness Account.

Details

International Journal of Social Economics, vol. 39 no. 9
Type: Research Article
ISSN: 0306-8293

Keywords

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Article
Publication date: 5 May 2020

Jiahong He

With the analysis of the causes of corruption, this study aims to investigate specific anti-corruption measures that can be implemented to reform the political system and…

Abstract

Purpose

With the analysis of the causes of corruption, this study aims to investigate specific anti-corruption measures that can be implemented to reform the political system and the social climate of China.

Design/methodology/approach

This study examines 97 severe corruption cases of high-ranking officials in China, which occurred between 2012 and 2015. As this insinuates that both institutional and social corruption are major problems in China, the analysis delves into multiple facts of corruption, including different types, four primary underlying causes, and suggestions regarding the implementation of three significant governmental shifts that focus on investigation, prevention tactics and legal regulations.

Findings

China’s corruption is not only individual-based but also it has developed into institutional corruption and social corruption. Besides human nature and instinct, the causes of corruption can be organised into four categories, namely, social customs, social transitions, institutional designs and institutional operations. For the removed high-ranking officials, the formation of interest chains was an important underlying cause behind their corruption.

Originality/value

This study makes a significant contribution to the literature because this study provides a well-rounded approach to a complex issue by highlighting the significance of democracy and the rule of law as ways to regulate human behaviour to combat future corruption.

Details

Journal of Financial Crime, vol. 27 no. 3
Type: Research Article
ISSN: 1359-0790

Keywords

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