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Article
Publication date: 11 February 2019

Vinayak Agrawal and Shashikala Tapaswi

The purpose of this paper is to conduct a forensic analysis of Google Allo messenger on an Android-based mobile phone. The focus was on the analysis of the data stored by…

Abstract

Purpose

The purpose of this paper is to conduct a forensic analysis of Google Allo messenger on an Android-based mobile phone. The focus was on the analysis of the data stored by this application in the internal memory of the mobile device, with minimal use of third-party applications. The findings were compared with the already existing works on this topic. Android is the most popular operating system for mobile devices, and these devices often contain a massive amount of personal information about the user such as photos and contact details. Analysis of these applications is required in case of a forensic investigation and makes the process easier for forensic analysts.

Design/methodology/approach

Logical acquisition of the data stored by these applications was performed. A locked Android device was used for this purpose. Some scripts are presented to help in data acquisition using Android Debug Bridge (ADB). Manual forensic analysis of the device image was performed to see whether the activities carried out on these applications are stored in the internal memory of the device. A comparative analysis of an existing mobile forensic tool was also performed to show the effectiveness of the methodology adopted.

Findings

Forensic artifacts were recovered from Allo application. Multimedia content such as images were also retrieved from the internal memory.

Research limitations/implications

As this study was conducted for forensic analysis, it assumed that the mobile device used already has USB debugging enabled on it, although this might not be the applicable in some of the cases. This work provides an optimal approach to acquiring artifacts with minimal use of third-party applications.

Practical implications

Most of the mobile devices contain messaging application such as Allo installed. A large amount of personal information can be obtained from the forensic analysis of these applications, which can be useful in any criminal investigation.

Originality/value

This is the first study which focuses on the Google Allo application. The proposed methodology was able to extract almost as much as the data obtained using earlier approaches, but with minimal third-party application usage.

Details

Information & Computer Security, vol. 27 no. 1
Type: Research Article
ISSN: 2056-4961

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Article
Publication date: 19 May 2021

Anshul Sharma, Pardeep Kumar, Hemant Kumar Vinayak, Raj Kumar Patel and Suresh Kumar Walia

This study aims to perform the experimental work on a laboratory-constructed steel truss bridge model on which hammer blows are applied for excitation. The vibration…

Abstract

Purpose

This study aims to perform the experimental work on a laboratory-constructed steel truss bridge model on which hammer blows are applied for excitation. The vibration response signals of the bridge structure are collected using sensors placed at different nodes. The different damaged states such as no damage, single damage, double damage and triple damage are introduced by cutting members of the bridge. The masked noise with recorded vibration responses generates challenge to properly analyze the health of bridge structure.

Design/methodology/approach

The analytical modal properties are obtained from finite element model (FEM) developed using SAP2000 software. The response signals are analyzed in frequency domain by power spectrum and in time-frequency domain using spectrogram and Stockwell transform. Various low pass signal-filtering techniques such as variational filter, lowpass sparse banded (AB) filter and Savitzky–Golay (SG) differentiator filter are also applied to refine vibration signals. The proposed methodology further comprises application of Hilbert transform in combination with MUSIC and ESPRIT techniques.

Findings

The outcomes of SG filter provided the denoised signals using appropriate polynomial degree with proper selected window length. However, certain unwanted frequency peaks still appeared in the outcomes of SG filter. The SG-filtered signals are further analyzed using fused methodology of Hilbert transform-ESPRIT, which shows high accuracy in identifying modal frequencies at different states of the steel truss bridge.

Originality/value

The sequence of proposed methodology for denoising vibration response signals using SG filter with Hilbert transform-ESPRIT is a novel approach. The outcomes of proposed methodology are much refined and take less computational time.

Details

Journal of Engineering, Design and Technology , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1726-0531

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Article
Publication date: 24 June 2021

Anshul Sharma, Pardeep Kumar, Hemant Kumar Vinayak, Suresh Kumar Walia and Raj Kumar Patel

This study aims to include the diagnosis of an old concrete deck steel truss rural road bridge in the damaged and retrofitted state through vibration response signals.

Abstract

Purpose

This study aims to include the diagnosis of an old concrete deck steel truss rural road bridge in the damaged and retrofitted state through vibration response signals.

Design/methodology/approach

The analysis of the vibration response signals is performed in time and time-frequency domains using statistical features-root mean square, impulse factor, crest factor, kurtosis, peak2peak and Stockwell transform. The proposed methodology uses the Hilbert transform in combination with spectral kurtosis and bandpass filtering technique for obtaining robust outcomes of modal frequencies.

Findings

The absence or low amplitude of considered mode shape frequencies is observed both before and after retrofitting of bridge indicates the deficient nodes. The kurtosis feature among all statistical approaches is able to reflect significant variation in the amplitude of different nodes of the bridge. The Stockwell transform showed better resolution of present modal frequencies but due to the yield of additional frequency peaks in the vicinity of the first three analytical modal frequencies no decisive conclusions are achieved. The methodology shows promising outcomes in eliminating noise and visualizing distinct modal frequencies of a steel truss bridge.

Social implications

The findings of the present study help in analyzing noisy vibration signals obtained from various structures (civil or mechanical) and determine vulnerable locations of the structure using mode shape frequencies.

Originality/value

The literature review gave an insight into few experimental investigations related to the combined application of Hilbert transform with spectral kurtosis and bandpass filtering technique in determining mode frequencies of a steel truss bridge.

Details

World Journal of Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1708-5284

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Article
Publication date: 6 April 2021

Riya Vinayak, Jyotsna Bhatnagar and Madhushree Nanda Agarwal

The study is aimed at developing and testing a theoretical model where psychological capital acts as the intervening mechanism explicating the relationship between…

Abstract

Purpose

The study is aimed at developing and testing a theoretical model where psychological capital acts as the intervening mechanism explicating the relationship between perceived overqualification (POQ) and turnover intention. It also explores how perceived supervisor support (PSS) influences the mediating role of psychological capital in the perceived overqualification and turnover intention association.

Design/methodology/approach

The authors test the model through a sample data of 314 workers employed in the Indian IT service sector. IBM SPSS and SPSS AMOS software were utilized for conducting analysis and testing the model involving first-stage moderated mediation.

Findings

The study confirms that perceptions of overqualification have a positive relationship with turnover intentions. Further, it finds that the positive association between POQ and turnover intention will be mediated by psychological capital. The results reflected that perceived supervisor support shall weaken the relationship between perceptions of overqualification and psychological capital.

Originality/value

The research is amongst the limited researches which look at the influence of psychological capital and perceived supervisor support with regards to POQ. It attempts to lay down the underlying psychological mechanism of POQ and highlight the role played by perceived supervisor support.

Details

Evidence-based HRM: a Global Forum for Empirical Scholarship, vol. 9 no. 4
Type: Research Article
ISSN: 2049-3983

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Article
Publication date: 16 July 2021

Srinivas Prabhu, Padmakumar Bajakke and Vinayak Malik

In-situ aluminum metal matrix composites (AMMC) have taken over the use of ex-situ AMMC due to the generation of finer and thermodynamically stable intermetallic…

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Abstract

Purpose

In-situ aluminum metal matrix composites (AMMC) have taken over the use of ex-situ AMMC due to the generation of finer and thermodynamically stable intermetallic compounds. However, conventional processing routes pose inevitable defects like porosity and agglomeration of particles. This paper aims to study current state of progress in in-situ AMMC fabricated by Friction Stir Processing.

Design/methodology/approach

Friction stir processing (FSP) has successfully evolved to be a favorable in-situ composite manufacturing technique. The dynamics of the process account for a higher plastic strain of 35 and a strain rate of 75 per second. These processing conditions are responsible for grain evolution from rolled grain → dislocation walls and dislocation tangles → subgrains → dislocation multiplication → new grains. Working of matrix and reinforcement under ultra-high strain rate and shorter exposure time to high temperatures produce ultra-fine grains. Do the grain evolution modes include subgrain boundaries → subgrain boundaries and high angle grain boundaries → high angle grain boundaries.

Findings

Further, the increased strain and strain rate can shave and disrupt the oxide layer on the surface of particles and enhance wettability between the constituents. The frictional heat generated by tool and workpiece interaction is sufficient enough to raise the temperature to facilitate the exothermic reaction between the constituents. The heat released during the exothermic reaction can even raise the temperature and accelerate the reaction kinetics. In addition, heat release may cause local melting of the matrix material which helps to form strong interfacial bonds.

Originality/value

This article critically reviews the state of the art in the fabrication of in-situ AMMC through FSP. Further, FSP as a primary process and post-processing technique in the synthesis of in-situ AMMC are also dealt with.

Details

World Journal of Engineering, vol. 18 no. 6
Type: Research Article
ISSN: 1708-5284

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Article
Publication date: 5 May 2015

Arash Hosseinpour, Qingjin Peng and Peihua Gu

– The purpose of this paper is to develop an effective approach to decide design details using benchmarking to capture the existing practice in sustainable design.

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Abstract

Purpose

The purpose of this paper is to develop an effective approach to decide design details using benchmarking to capture the existing practice in sustainable design.

Design/methodology/approach

This paper reports a systematic method for sustainable product design. The method uses benchmarks as references searching for design details to achieve sustainable solutions. Quality function deployment is used to guide the search process for competitive products using benchmarking to meet quantitative targets of product and to increase knowledge for sustainable design.

Findings

The proposed method can meet both functional and sustainable requirements of product design. 18.55 percent reduction in carbon equivalent emissions is achieved compared to benchmarks in wheelchair design. The research reveals that when weight, material and number of components used in product decrease, environmental footprints and cost of the product improve.

Originality/value

The research improves the existing method of sustainable product design. Both sustainable requirements and functional demands of product are identified from qualitative criteria to quantitative metrics using benchmarking and the life cycle assessment.

Details

Benchmarking: An International Journal, vol. 22 no. 4
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 29 November 2018

Meiaad Rashid Alsaadi, Syed Zamberi Ahmad and Matloub Hussain

The purpose of this paper is to derive mobile-government (m-government) service-quality factors in the Gulf Cooperation Council (GCC) and develop an integrated strategic…

Abstract

Purpose

The purpose of this paper is to derive mobile-government (m-government) service-quality factors in the Gulf Cooperation Council (GCC) and develop an integrated strategic plan for improving the quality of m-government services from a customer perspective in the GCC.

Design/methodology/approach

A quantitative approach was used in this case study of m-government services in the GCC. Data were collected using focus groups and questionnaires for three similar m-government applications (one from the United Arab Emirates, one from the Saudi Arabia and one from Oman). The house of quality tool, including technical benchmarking, was applied as part of the quality function deployment (QFD) approach to identify customer requirements, translate them to technical requirements and develop a strategic plan for improving the quality of m-government services.

Findings

The results revealed that “real time” had the highest priority for deployment, while “tangible service,” contrary to expectations, had the lowest priority for deployment.

Research limitations/implications

Study findings are limited to the m-government services delivered to citizens. There is scope for further study into m-government services delivered both to businesses and other governments.

Practical implications

The findings imply that the m-government decision makers must involve citizens in all service-development processes to ensure that service delivery meets citizens’ expectations.

Originality/value

Most previous studies regarding m-government service-quality dimensions have used information system service-quality dimensions. This study is one of the pioneering studies to have successfully derived m-government service-quality factors using the QFD matrix.

Details

Benchmarking: An International Journal, vol. 25 no. 8
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 7 August 2017

Adarsh Anand and Gunjan Bansal

The “quality” of any product or service defines the agility of the product and its life cycle in dynamic environment. The demand of high “quality” becomes an imperative…

Abstract

Purpose

The “quality” of any product or service defines the agility of the product and its life cycle in dynamic environment. The demand of high “quality” becomes an imperative concern, when “software” is acting as a product or a service. Since the nature of the software is intangible and more complex, therefore the assurance of providing accurate results is anxiety for companies. The overall quality of the software is based upon many individual factors (or attributes) that makes software reliable, inclined and a long-lasting product in the marketplace. But how these factors can influence each other is significant to identify. Therefore, the purpose of this paper is to study the quality aspect of the software and analyse the interrelationship of impactful attributes.

Design/methodology/approach

The analysis has been done through responses sought from software development teams/clients in India. The questionnaire related to the software quality was administered to the sample population. Interconnection among impactful characteristics has been analysed by using a qualitative technique called interpretive structural modelling (ISM). The driving and dependency of the attributes under consideration has been classified using cross-impact matrix multiplication applied to classification (MICMAC) analysis. The procedure of applying ISM method has been automated and provided it as package “ISM” using R software.

Findings

In general, it is very complex job to determine the most impactful attribute of software quality. By applying ISM and MICMAC analysis on the set of attributes under consideration, it has been found that “reliability” along with “usability” and “performance” is the most influential attribute of software quality and preferred most.

Research limitations/implications

Though ISM provides an organized modelling framework yet its results are considered less statistically significant. Therefore, it would be interesting to concatenate the present findings with the findings of any analytical methodology; which gives statistically significant results.

Practical implications

The present proposal deals with the interpretation of the software quality attributes and their contextual relationship but with more effective and efficient manner. It can help management to understand the complexity of relationship amongst attributes (which are quality attributes here) more accurately and precisely. Since today is an era of automation, the manual part is being substituted so as to reduce the labour cost, improve safety, security and product quality to increase production. This study is, therefore, an effort and a helping hand in making the hassle free calculations for obtaining intermediate matrices and doing eventual calculations.

Social implications

n numbers of parameters can be selected to analyse the interrelationship of any project/study. Eradication human errors in applying transitivity law or applying any other operation in solving problem. The package created here can save precious time of users. Provides well-formatted and readable excel output files that make interpretation easier.

Originality/value

Software is one such product/service which plays a significant role in this high-technological world, where each and every firm try their best to be on the top of the list of consumers’ preference. For this purpose, companies reduce manual efforts by converting it into qualitative software that provides deliverables in a systematic manner. Therefore, it becomes imperative to study various interrelated quality attributes of the software. On the similar platform, ISM is a widely used technique and just to provide a helping hand in quantification of the qualitative attributes this paper facilitates the readers with algorithm developed using R software.

Details

Journal of Advances in Management Research, vol. 14 no. 3
Type: Research Article
ISSN: 0972-7981

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Article
Publication date: 4 December 2020

Vimal Kumar, Pratima Verma, Ajay Jha, Kuei-Kuei Lai and Manh-Hoang Do

This research presents a study on the supply chain process of an Indian apparel industry considering various parameters involved. The study aims to identify the main…

Abstract

Purpose

This research presents a study on the supply chain process of an Indian apparel industry considering various parameters involved. The study aims to identify the main parameters to improve the supply chain process and develop a comprehensive structural relationship to rank them to streamline the apparel supply chain process and business environment.

Design/methodology/approach

The team of five experts from this apparel industry was made to give scores to multiple parameters. The TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) technique is used to develop the model for eleven key parameters and then rank them.

Findings

Based on the data analysis the planning, customer and warehouse storage have emerged as top three key parameters while the non-replenishment approach, push and pull strategy and manufacturing of the product are identified as the bottom three parameters from a hierarchy level. These parameters have been ranked based on their contributing attributes in this apparel supply chain process.

Research limitations/implications

The study provides an overall ranking of parameters and the implications are in the direction of helping the industry to improve its supply chain performances rather than focus only on productivity. Further, the key parameters are identified as critical inputs and show that the firms are being more proactive and well prepared comprised of the industry.

Originality/value

The study indicates that the key parameters are identified by this apparel brand to improve its supply chain process. The key supply chain process involves planning, manufacturing, distribution, end customer and returns logistics of the goods, etc. So, this research also provides the focused parameters on the supply chain performance received by end customer from the supplier and rank them for effectiveness and improve their overall organizational performance. It also provides a critical observation of their supply chain process improvement which includes different brand uses, strategies and approaches.

Details

International Journal of Productivity and Performance Management, vol. 71 no. 2
Type: Research Article
ISSN: 1741-0401

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