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Article
Publication date: 4 April 2008

C.I. Ezeife, Jingyu Dong and A.K. Aggarwal

The purpose of this paper is to propose a web intrusion detection system (IDS), SensorWebIDS, which applies data mining, anomaly and misuse intrusion detection on web environment.

Abstract

Purpose

The purpose of this paper is to propose a web intrusion detection system (IDS), SensorWebIDS, which applies data mining, anomaly and misuse intrusion detection on web environment.

Design/methodology/approach

SensorWebIDS has three main components: the network sensor for extracting parameters from real‐time network traffic, the log digger for extracting parameters from web log files and the audit engine for analyzing all web request parameters for intrusion detection. To combat web intrusions like buffer‐over‐flow attack, SensorWebIDS utilizes an algorithm based on standard deviation (δ) theory's empirical rule of 99.7 percent of data lying within 3δ of the mean, to calculate the possible maximum value length of input parameters. Association rule mining technique is employed for mining frequent parameter list and their sequential order to identify intrusions.

Findings

Experiments show that proposed system has higher detection rate for web intrusions than SNORT and mod security for such classes of web intrusions like cross‐site scripting, SQL‐Injection, session hijacking, cookie poison, denial of service, buffer overflow, and probes attacks.

Research limitations/implications

Future work may extend the system to detect intrusions implanted with hacking tools and not through straight HTTP requests or intrusions embedded in non‐basic resources like multimedia files and others, track illegal web users with their prior web‐access sequences, implement minimum and maximum values for integer data, and automate the process of pre‐processing training data so that it is clean and free of intrusion for accurate detection results.

Practical implications

Web service security, as a branch of network security, is becoming more important as more business and social activities are moved online to the web.

Originality/value

Existing network IDSs are not directly applicable to web intrusion detection, because these IDSs are mostly sitting on the lower (network/transport) level of network model while web services are running on the higher (application) level. Proposed SensorWebIDS detects XSS and SQL‐Injection attacks through signatures, while other types of attacks are detected using association rule mining and statistics to compute frequent parameter list order and their maximum value lengths.

Details

International Journal of Web Information Systems, vol. 4 no. 1
Type: Research Article
ISSN: 1744-0084

Keywords

Article
Publication date: 2 December 2022

Jingyu Cao, Jiusheng Bao, Yan Yin, Wang Yao, Tonggang Liu and Ting Cao

To avoid braking accidents caused by excessive wear of brake pad, this study aims to achieve online prediction of brake pad wear life (BPWL).

Abstract

Purpose

To avoid braking accidents caused by excessive wear of brake pad, this study aims to achieve online prediction of brake pad wear life (BPWL).

Design/methodology/approach

A simulated braking test bench for automobile disc brake was used. The correlation and mechanism between the three braking condition parameters of initial braking speed, braking pressure and initial braking temperature and the tribological performance were analyzed. The different artificial neural network (ANN) models of wear loss were discussed. Genetic algorithm was used to optimize the ANN model. The structure scheme of the online prediction system of BPWL was discussed and completed.

Findings

The results showed that the braking conditions were positively correlated with the wear loss, but negatively correlated with the friction coefficient. The prediction accuracy of back propagation (BP) ANN model was higher. The model was optimized by genetic algorithm, and the average deviation of prediction results was 4.67%. By constructing the online monitoring system of automobile braking conditions, the online prediction of BPWL based on the ANN model could be realized.

Originality/value

The research results not only have important theoretical significance for the study of BPWL but also have practical value for guiding the maintenance and replacement of automobile brake pads and avoiding the occurrence of braking accidents.

Details

Industrial Lubrication and Tribology, vol. 75 no. 2
Type: Research Article
ISSN: 0036-8792

Keywords

Article
Publication date: 30 August 2019

Jia Xu, Jingyu Zhang, Jiahan Xu, Guangyuan Miao, Long Feng, Zhanzhu Zhang and Huanxia Zhang

Nanotechnology has been able to bind to a wide range of functional textiles in recently. This paper aims to modify graphene oxide (GO) by grafting dimethyl phosphite and…

Abstract

Purpose

Nanotechnology has been able to bind to a wide range of functional textiles in recently. This paper aims to modify graphene oxide (GO) by grafting dimethyl phosphite and perfluorohexyl iodine. It was applied to cotton to obtain a flame-retardant, water-repellent and ultraviolet-resistant multifunctional fabric.

Design/methodology/approach

The GO-multi was synthesized by grafted dimethyl phosphite and perfluorohexyl chain and applied to cotton by the dipping-drying method. The surface chemistry of functionalized GO was characterized by Fourier transform infrared spectroscopy and X-ray photoelectron spectroscopy. The thermal stability of the fabric was characterized by thermogravimetric analysis (TGA). The combustion properties were evaluated using a microscale combustion calorimeter, match test and TGA. Hydrophobicity of film and fabric surface was characterized by static contact angle, and the UV resistance of the fabric was represented by the ultroviolet procetion factor (UPF) value.

Findings

Dimethyl phosphite and perfluorohexyl chains were grafted on the surface of GO successively. In the match test, the GO-multi/cotton kept the original outline of the fabric. According to the micro-scale combustion calorimetry (MCC) data, the value of PHRR and THR of GO-multi/cotton was about 45 per cent lower than that of untreated cotton fabric. It was found from the field-emission scanning electron microscopy (SEM) pictures that the residue of GO-multi/ cotton burned by the match method was more compact and the graphene lamellar structure remained more complete. The hydrophobic effect of GO-multi/cotton was improved compared to untreated cotton, but not better than the fabric treated by the perfluorohexyl chain-grafted GO. The UPF value of GO-multi/cotton reached 253, which indicated that the anti-ultraviolet performance of GO-multi was greatly improved after it was deposited on the cotton fabric.

Research limitations/implications

Although the hydrophobic effect was much higher than that of untreated cotton fabric, its hydrophobic effect was not satisfied, which may be due to the fact that the content of F element content was low. So, it is still needed to explore the modifying method to increase the functional component amount on the GO nanosheet.

Practical implications

This modifying method can be used in any of multifunctional textile preparation process. The hydrophobic and flame-retardant cotton fabric revealed a sample for use in outdoor sports such as clothes and tents.

Originality/value

To meet the needs of multifunctional cotton fabrics, the modification of GO with dimethyl phosphite and perfluorohexyl iodine has not been reported. The modified fabric has flame-retardant, UV-resistant and hydrophobic properties.

Details

Pigment & Resin Technology, vol. 48 no. 6
Type: Research Article
ISSN: 0369-9420

Keywords

Article
Publication date: 11 April 2018

Kareen Brown, Fayez A. Elayan, Jingyu Li and Zhefeng Liu

The purpose of this paper is to investigate whether US regulatory actions around reverse mergers (RM) have exerted any spillover effects on the Chinese firms listed in China and…

Abstract

Purpose

The purpose of this paper is to investigate whether US regulatory actions around reverse mergers (RM) have exerted any spillover effects on the Chinese firms listed in China and whether Chinese firms have exhibited lower financial reporting quality than their US counterparts.

Design/methodology/approach

To test the possible spillover effect, this paper calculates three-day cumulative average abnormal returns (CAAR) and the aggregate CAAR for a series of US regulatory actions in 2010 and 2011. The study then compares the accrual quality, conditional conservatism, and information content of accruals of Chinese firms and US firms.

Findings

The paper documents a spillover effect of US actions around RM on Chinese stocks listed in China. Overall results do not support the perception that Chinese firms have lower financial reporting quality than their US counterparts.

Research limitations/implications

While this study provides evidence consistent with investors perceiving poor financial reporting quality among Chinese firms, that perception is not justified by empirical evidence.

Practical implications

Investors need not be overly concerned about the financial reporting quality among the Chinese firms when they make asset allocation decisions.

Social implications

A reality check is important given that perceptions may be outdated, biased, misleading, and costly.

Originality/value

This study puts the financial reporting quality of Chinese firms into perspective helping global investors assess information risk for optimal resource allocation.

Details

China Finance Review International, vol. 8 no. 4
Type: Research Article
ISSN: 2044-1398

Keywords

Article
Publication date: 20 November 2017

Jingyu Yu, Guixia Ma and Xiaoyan Jiang

The ageing of rural Chinese populations is challenging health and social policy, driving growth in rural nursing homes. Living environment plays a role in enhancing elderly…

Abstract

Purpose

The ageing of rural Chinese populations is challenging health and social policy, driving growth in rural nursing homes. Living environment plays a role in enhancing elderly quality of life (QoL), however, the impact of the built environment and care services are under-studied. The purpose of this paper is to investigate the influence of the built environment and care services on the QoL of elderly people within rural nursing homes in China.

Design/methodology/approach

A total of 242 residents of nursing home were surveyed, of which 76 percent were male and 24 percent were female. In total, 25.6 percent were aged between 60 and 69, 40.1 percent between 70 and 79, 31 percent between 80 and 89, and 3.3 percent were 90 or above. Quantitative data were analyzed through factor analysis, reliability test and multiple regression modeling.

Findings

The authors identified six built environment factors (room distance, space, barrier-free design, indoor environment, fire safety, and support facilities) and three services factors (i.e. daily care services, cleaning services, and healthcare services). QoL was measured over four dimensions: QoL, physical health, psychological health, and social relationships. Elderly QoL could be accurately predicted from room distance, space, barrier-free design, indoor environment, daily care services, and cleaning services.

Practical implications

Interventions in design of the built environment and the provision of care services are proposed, including dimensions of living space, heating, and provisions for qualified care providers.

Originality/value

This paper provides a clear picture about elderly special requirements on their built environment and healthcare services, helping architects, engineers and facilities managers understand elderly needs and improve built environment during design and operation stages.

Details

Engineering, Construction and Architectural Management, vol. 24 no. 6
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 22 February 2024

Ganli Liao, Xinshuai Hou, Yi Li and Jingyu Wang

Driven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of…

140

Abstract

Purpose

Driven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of external knowledge sources, this study aims to construct a panel regression model to explore the relationship between digital economy and industrial green innovation efficiency.

Design/methodology/approach

Panel data from 30 regions in China from 2011 to 2020 were selected as research samples. All data are obtained from national and provincial statistical yearbooks. Coupling coordination degree analysis, entropy method, panel regression analysis, robustness test and threshold effect test by Stata 16.0 were used to test the hypotheses.

Findings

The empirical results demonstrate the hypotheses and reveal the following findings: the digital economy is positively related to industrial green innovation efficiency and external knowledge sources, and external knowledge sources mediate the relationship between them. Moreover, based on the threshold test results, the digital economy has a double-threshold effect on industrial green innovation efficiency.

Originality/value

Based on the perspective of external knowledge sources, the proposed mediating mechanism between the digital economy and industrial green innovation efficiency has not been established previously, further enriching the research on the antecedents and outcomes of external knowledge sources. Moreover, this study estimated the direct influence mechanism and double-threshold effect of the digital economy on industrial green innovation efficiency from theoretical and empirical analysis, thus responding to the call of scholars and adding to existing research on how the digital economy affects the green transformation of industrial enterprises.

Details

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

Keywords

Article
Publication date: 18 January 2016

Huajun Liu, Cailing Wang and Jingyu Yang

– This paper aims to present a novel scheme of multiple vanishing points (VPs) estimation and corresponding lanes identification.

Abstract

Purpose

This paper aims to present a novel scheme of multiple vanishing points (VPs) estimation and corresponding lanes identification.

Design/methodology/approach

The scheme proposed here includes two main stages: VPs estimation and lane identification. VPs estimation based on vanishing direction hypothesis and Bayesian posterior probability estimation in the image Hough space is a foremost contribution, and then VPs are estimated through an optimal objective function. In lane identification stage, the selected linear samples supervised by estimated VPs are clustered based on the gradient direction of linear features to separate lanes, and finally all the lanes are identified through an identification function.

Findings

The scheme and algorithms are tested on real data sets collected from an intelligent vehicle. It is more efficient and more accurate than recent similar methods for structured road, and especially multiple VPs identification and estimation of branch road can be achieved and lanes of branch road can be identified for complex scenarios based on Bayesian posterior probability verification framework. Experimental results demonstrate VPs, and lanes are practical for challenging structured and semi-structured complex road scenarios.

Originality/value

A Bayesian posterior probability verification framework is proposed to estimate multiple VPs and corresponding lanes for road scene understanding of structured or semi-structured road monocular images on intelligent vehicles.

Details

Industrial Robot: An International Journal, vol. 43 no. 1
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 3 October 2023

Jingyu Cheng, Minxi Wang, Lilin Wu and Xin Li

The purpose of this paper is to explore the high-quality development (HQD) strategy of Chinese mineral resource enterprises, which is important for Chinese mineral resource…

Abstract

Purpose

The purpose of this paper is to explore the high-quality development (HQD) strategy of Chinese mineral resource enterprises, which is important for Chinese mineral resource enterprises to improve the efficiency and benefit of resource utilization, reduce the intensity of resource and energy consumption and gradually form resource-saving and environment-friendly enterprises.

Design/methodology/approach

This study establishes an evaluation index system with four dimensions: economy, environment, society and management innovation. The entropy value method assigns weights to them and then uses the system dynamics (SD) model for case simulation.

Findings

The results of the SD simulation conclude that the fulfillment of social responsibility and the implementation of management innovation can accelerate the realization of HQD of mineral resource enterprises; profitability plays a crucial role in economic indicators; the improvement of energy-saving volume has the most significant impact on environmental benefits; the social contribution is the key element to measure social indicators; and the sales rate of core products has the most significant impact on the benefits of management innovation.

Originality/value

Based on the few studies on the evaluation of the development strategy of mineral resource enterprises, this study establishes an evaluation index system that considers the interactions between indicators, combines the entropy value method with SD and uses the SD model to comprehensively and systematically analyze the impact and degree of each factor on the HQD of mineral resource enterprises.

Details

Chinese Management Studies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 5 July 2021

Jieren Guan, Qiuping Wang, Chao Chen and Jingyu Xiao

The purpose of this paper is to analyze and investigate heat accumulation caused by temperature changes and interface microstructure effected by element diffusion.

Abstract

Purpose

The purpose of this paper is to analyze and investigate heat accumulation caused by temperature changes and interface microstructure effected by element diffusion.

Design/methodology/approach

Al/Cu bimetallic structure is initially manufactured through laser powder bed fusion process. To minimize trial and error, finite element modeling is adopted to simulate temperature changes on the Al-based and Cu-based substrate.

Findings

The results show that forming pure copper on Al-based substrate can guarantee heat accumulation, providing enough energy for subsequent building. The instantaneous laser energy promotes increase of diffusion activation energy, resulting in the formation of transition zone derived from interdiffusion between Al and Cu atoms. The interface with a thickness of about 22 µm dominated by Kirkendall effect moves towards Al-rich side. The interface microstructure is mainly composed of a-Al, a-Cu and CuAl2 phase.

Originality/value

The bonding mechanism of Al/Cu interface is atom diffusion-induced chemical reaction. The theoretical basis provides guidance for structural design and production application.

Details

Rapid Prototyping Journal, vol. 27 no. 7
Type: Research Article
ISSN: 1355-2546

Keywords

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