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Article
Publication date: 12 November 2021

G. Merlin Linda, N.V.S. Sree Rathna Lakshmi, N. Senthil Murugan, Rajendra Prasad Mahapatra, V. Muthukumaran and M. Sivaram

The paper aims to introduce an intelligent recognition system for viewpoint variations of gait and speech. It proposes a convolutional neural network-based capsule network…

Abstract

Purpose

The paper aims to introduce an intelligent recognition system for viewpoint variations of gait and speech. It proposes a convolutional neural network-based capsule network (CNN-CapsNet) model and outlining the performance of the system in recognition of gait and speech variations. The proposed intelligent system mainly focuses on relative spatial hierarchies between gait features in the entities of the image due to translational invariances in sub-sampling and speech variations.

Design/methodology/approach

This proposed work CNN-CapsNet is mainly used for automatic learning of feature representations based on CNN and used capsule vectors as neurons to encode all the spatial information of an image by adapting equal variances to change in viewpoint. The proposed study will resolve the discrepancies caused by cofactors and gait recognition between opinions based on a model of CNN-CapsNet.

Findings

This research work provides recognition of signal, biometric-based gait recognition and sound/speech analysis. Empirical evaluations are conducted on three aspects of scenarios, namely fixed-view, cross-view and multi-view conditions. The main parameters for recognition of gait are speed, change in clothes, subjects walking with carrying object and intensity of light.

Research limitations/implications

The proposed CNN-CapsNet has some limitations when considering for detecting the walking targets from surveillance videos considering multimodal fusion approaches using hardware sensor devices. It can also act as a pre-requisite tool to analyze, identify, detect and verify the malware practices.

Practical implications

This research work includes for detecting the walking targets from surveillance videos considering multimodal fusion approaches using hardware sensor devices. It can also act as a pre-requisite tool to analyze, identify, detect and verify the malware practices.

Originality/value

This proposed research work proves to be performing better for the recognition of gait and speech when compared with other techniques.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 15 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 16 March 2022

G. Vennira Selvi, V. Muthukumaran, A.C. Kaladevi, S. Satheesh Kumar and B. Swapna

In wireless sensor networks, improving the network lifetime is considered as the prime objective that needs to be significantly addressed during data aggregation. Among…

Abstract

Purpose

In wireless sensor networks, improving the network lifetime is considered as the prime objective that needs to be significantly addressed during data aggregation. Among the traditional data aggregation techniques, cluster-based dominating set algorithms are identified as more effective in aggregating data through cluster heads. But, the existing cluster-based dominating set algorithms suffer from a major drawback of energy deficiency when a large number of communicating nodes need to collaborate for transferring the aggregated data. Further, due to this reason, the energy of each communicating node is gradually decreased and the network lifetime is also decreased. To increase the lifetime of the network, the proposed algorithm uses two sets: Dominating set and hit set.

Design/methodology/approach

The proposed algorithm uses two sets: Dominating set and hit set. The dominating set constructs an unequal clustering, and the hit set minimizes the number of communicating nodes by selecting the optimized cluster head for transferring the aggregated data to the base station. The simulation results also infer that the proposed optimized unequal clustering algorithm (OUCA) is greater in improving the network lifetime to a maximum amount of 22% than the existing cluster head selection approach considered for examination.

Findings

In this paper, lifetime of the network is prolonged by constructing an unequal cluster using the dominating set and electing an optimized cluster head using hit set. The dominator set chooses the dominator based on the remaining energy and its node degree of each node. The optimized cluster head is chosen by the hit set to minimize the number of communicating nodes in the network. The proposed algorithm effectively constructs the clusters with a minimum number of communicating nodes using the dominating and hit set. The simulation result confirms that the proposed algorithm prolonging the lifetime of the network efficiently when compared with the existing algorithms.

Originality/value

The proposed algorithm effectively constructs the clusters with a minimum number of communicating nodes using the dominating and hit sets. The simulation result confirms that the proposed algorithm is prolonging the lifetime of the network efficiently when compared with the existing algorithms.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 15 no. 4
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 22 March 2013

V. Muthukumaran, M. Senthil kumar and V. Selladurai

The purpose of the paper is to study effect of the implantation of oxygen and helium ions on the corrosion performance of the AISI3l6L stainless steel. It presents useful…

Abstract

Purpose

The purpose of the paper is to study effect of the implantation of oxygen and helium ions on the corrosion performance of the AISI3l6L stainless steel. It presents useful new results which allows one to draw conclusions as to the suitability of the helium and oxygen ion implanted AISI 316L stainless steel for biomedical use in the body.

Design/methodology/approach

The implantation of oxygen and helium ions was done on AISI 316L SS at an energy level of 100 keV at a dose of 1×1017 ions/cm2, at room temperature. In order to simulate the natural tissue environment, an electrochemical test using cyclic polarization was done in a 0.9 percent sodium chloride solution at a pH value of 6.3 at 37°C. This was carried out on both the virgin and implanted AISI 316L stainless steel for the purpose of comparing performance. In addition to this, the hardness of the virgin and implanted samples was also studied using Vickers microhardness tester with varying loads. Besides, the surface morphologies of the implanted samples and the corroded samples were studied with XRD and SEM.

Findings

From the study the following findings are made. First, the XRD and SEM results were found to be in accordance with the corrosion test results. Second, the general corrosion behavior showed a significant improvement in the case of both helium implanted (icorr=0.0689 mA/cm2) and oxygen implanted (icorr=1.104 mA/cm2), when compared to the virgin AISI 316L SS (icorr=1.2187 mA/cm2). The pitting corrosion showed a significant improvement for helium implanted (Epit=230 mV) when compared to virgin material (Epit=92 mV). The oxygen implanted has not shown any improvement (Epit=92 mV). The surface hardness is found to be 1202 HV for helium implanted and 1020 HV for oxygen implanted, while it is found to be 195 HV for the virgin material. The hardness of the helium and oxygen implanted samples is found to be increased by about 600 percent and 500 percent, respectively, when compared to the virgin samples. Helium implanted samples show better performance in terms of corrosion resistance and hardness when compared to those of the oxygen implanted samples.

Originality/value

Although a number of authors have conducted many research on AISI 316L stainless steel, this work has original experimental results in terms of the oxygen and helium ion implantation parameters used and the specific tests: microhardness, electrochemical corrosion test, SEM and XRD that were used. It thus presents useful new results which allows one to draw conclusions as to the suitability of the Helium and Oxygen ion implanted AISI 316L stainless steel for biomedical use.

Details

Journal of Engineering, Design and Technology, vol. 11 no. 1
Type: Research Article
ISSN: 1726-0531

Keywords

Article
Publication date: 22 October 2021

Choon Ling Sim, Zeyun Li, Francis Chuah, Yi Jin Lim and Kit Yeng Sin

With the growing pressure to gain optimum level of quality and speed, Lean Six Sigma (LSS) practices have drawn considerable attention as a viable alternative for process…

Abstract

Purpose

With the growing pressure to gain optimum level of quality and speed, Lean Six Sigma (LSS) practices have drawn considerable attention as a viable alternative for process improvement. However, previous studies revealed that there is very little systematic and rigorous research to validate the claims. In this regard, this paper aims to empirically examine the effect of LSS practices on quality performance in the medical device manufacturing industry.

Design/methodology/approach

For this study, partial least square–based structural equation modeling (PLS-SEM) was used to empirically examine the effect of LSS practices on quality performance in Malaysian medical device manufacturing industry.

Findings

The findings of this paper revealed that LSS practices have a significant and positive effect on quality performance in the medical device manufacturing industry.

Practical implications

This paper will serve as a valuable implication for industry practitioners in providing them with a clearer managerial direction to exploit the strength of LSS practices to achieve company’s quality goals. Moreover, this study will serve as a basis for future LSS scholars, providing them with valuable insights and directions for future research.

Originality/value

This paper develops a conceptual LSS framework that captures the integrated nature of two methodologies and provides empirical evidence that supports the positive influence of LSS practices on quality performance; hence, it contributes to the growing body of LSS literature in both theoretical and empirical sense.

Details

International Journal of Lean Six Sigma, vol. 13 no. 3
Type: Research Article
ISSN: 2040-4166

Keywords

Article
Publication date: 1 October 2018

William Hanna Alkunsol, Abdel-Aziz Ahmad Sharabati, Nidal Amin AlSalhi and Hamza Sultan El-Tamimi

This study aims to investigate the effect of Lean Six Sigma elements on the Jordanian Pharmaceutical Manufacturing organizations’ business performance.

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Abstract

Purpose

This study aims to investigate the effect of Lean Six Sigma elements on the Jordanian Pharmaceutical Manufacturing organizations’ business performance.

Design/methodology/approach

Data were collected from 120 managers out of about 300 managers by means of questionnaire. After confirming normality, validity and reliability of the study tool, correlation analysis was carried out, and then multiple regressions were used to test the hypotheses.

Findings

The results show that there is an agreement on high implementation of Lean Six Sigma variables among Jordanian Pharmaceutical Manufacturing organizations; there are strong relationships among Lean Six Sigma variables, except between non-utilized talent and transportation; there are strong relationships between Lean Six Sigma variables and business performance. All Lean Six Sigma variables have effect on business performance, except extra processing and waiting time.

Research limitations/implications

This study was carried out on the pharmaceutical industry in Jordan, generalizing results of one industry and/or one country to other industries and/or countries may be questionable. Extending the analyses to other industries and countries represents future research opportunities.

Practical implications

Implementing Lean Six Sigma variables in all Jordanian Pharmaceutical Manufacturing organizations can improve their business performance; also, it can be applied to other manufacturing industry.

Social implications

The aim of all organizations is to reduce waste, which leads to reserve the natural resources, which is considered as a corporate social responsibility.

Originality/value

Only few studies related to Lean or Six Sigma have been carried out in pharmaceutical industry in Jordan. Therefore, this study might be considered as an initiative study, which studies the effect of both Lean and Six Sigma on pharmaceutical industry in Jordan.

Details

International Journal of Lean Six Sigma, vol. 10 no. 1
Type: Research Article
ISSN: 2040-4166

Keywords

Article
Publication date: 29 November 2018

Anup Prabhakarrao Chaple, Balkrishna Eknath Narkhede, Milind M. Akarte and Rakesh Raut

Firms have been adopting lean manufacturing to improve their business performances. However, they are facing failures or less success in implementation, mainly due to lack…

Abstract

Purpose

Firms have been adopting lean manufacturing to improve their business performances. However, they are facing failures or less success in implementation, mainly due to lack of understanding in relating the lean practices (LPs) from the required performance measures perspective. In view of the lack of research and the importance of understanding them, the purpose of this paper is to prioritize LPs.

Design/methodology/approach

As LPs are scattered in the literature and a variety of performance measures are used, an extensive literature review is first carried out to identify the LPs and performance measures. The blend of interpretive structural modeling and interpretive ranking process interpretive tools is adopted in establishing the contextual relationship among LPs and then ranking them based on the performance measures. A three-dimensional priority matrix is proposed for better explanation of the results.

Findings

The proposed framework can help firms better understand LPs and their levels of importance in lean implementation.

Research limitations/implications

The involvement of lean experts may produce some bias in evaluating the LPs.

Practical implications

The proposed framework can help practitioners to develop an industry-specific road-map for the result-oriented LP implementation. Based on the area of performance to be improved, practitioners can prioritize LPs for implementation.

Originality/value

This is the first study that provides a comprehensive review of LPs available in the literature and prioritizes them in accordance with performance with interpretive tools.

Article
Publication date: 13 December 2021

I. Nasurulla and R. Kaniezhil

Whereas a human operator is hard to observe the networking infrastructure and its functions on a continuous basis, wireless sensor network (WSN) nodes must overcome faults…

Abstract

Purpose

Whereas a human operator is hard to observe the networking infrastructure and its functions on a continuous basis, wireless sensor network (WSN) nodes must overcome faults and route the perceived data to the sink/base stations (BS). The main target of this research article is to ensure the fault-tolerance (FT) capability, especially for transmission of sensed data to its destination without failure. Thus, through this paper, a fuzzy-based subordinate support (FSS) system is introduced as an additional feature to the existing optimized mobile sink improved energy efficient Power-Efficient Gathering in Sensor Information Systems (PEGASIS)-based (OMIEEPB) routing protocol, which lacks focus on ensuring the FT capabilities to the selected leaders of the corresponding chain. The central focus of FSS is to prevent the incident of fault, especially to the cluster heads.

Design/methodology/approach

WSNs encounter several issues owing to random events or different causes such as energy exhaustion, negative influences of the deployed region, signal interference, unbalanced supply routes, instability of motes due to misalignments and collision, which ultimately intends the failure of the network. Throughout the past investigation periods, researchers gain an understanding of fault-tolerant strategies that may improve the data integrity or reliability, precision, energy efficiency, the life expectancy of the system and reduce/prevent the failure of deployed components. If that is the case, the maximum chances of data packets (sensed) needed to be transferred reliably and accurately to the sink node or BS are degraded.

Findings

The FSS system utilizes the fuzzy logic concepts that have been proved to be beneficial since it permits several parameters to be combined effectively and evaluated. Here, near-point, residual energy, total operation time and past average processing time are considered as vital parameters. Moreover, the FSS system ensures the key performance activities of the network, such as optimization of response time, enhancing the data transmission reliability and accuracy. Simulation-based experiments are carried out through the Mannasim framework. After several experimental executions, the outcome of the proposed system is analyzed through elaborated comparison with the advanced existing systems.

Originality/value

Finally, it has been observed that the FSS system not only enhanced the FT features to OMIEEPB but also assures the improved accuracy level (>95%) with optimized response time (<0.09 s) during data communication between leaders and the normal nodes.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 15 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 3 December 2021

Tanmay Ilame and Arpita Ghosh

Water is a vital natural resource without which life on earth would be impossible. Properties of synthetic dyes like high stability and noxious nature make it difficult to…

Abstract

Purpose

Water is a vital natural resource without which life on earth would be impossible. Properties of synthetic dyes like high stability and noxious nature make it difficult to remove them from the effluent. This review focuses on the removal of synthetic dyes using nanoparticles (NPs) based on the adsorption principle.

Design/methodology/approach

Adsorption technique is widely used to remove synthetic dyes from their aqueous solution for decades. Synthetic dye removal using NPs is promising, less energy-intensive and has become popular in recent years. NPs are in high demand for treating wastewater using the adsorption principle due to their tiny size and vast surface area. To maximise environmental sustainability, the utilisation of green-produced NPs as efficient catalysts for dye removal has sparked attention amongst scientists.

Findings

This review has prioritised research and development of optimal dye removal systems that can be used to efficiently remove a large quantity of dye in a short period while safeguarding the environment and producing fewer harmful by-products. The removal efficiency of synthetic dye using different NPs in wastewater treatment varies mostly between 75% to almost 100%. This review will aid in the scaling up of the wastewater treatment process.

Research limitations/implications

There is a lack of research emphasis on the safe disposal of NPs once the reuse efficiency significantly drops. The relevance of cost analysis is equally critical, yet only a few papers discuss cost-related information.

Originality/value

Comprehensive and planned research in this area can aid in the development of long-term wastewater treatment technology to meet the growing need for safe and reliable water emphasising reuse and desorption efficiency of the NPs.

Details

Management of Environmental Quality: An International Journal, vol. 33 no. 2
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 29 July 2021

Abdallah Ali Abdallah

This study aims to help quality professionals in following a precise framework that maintains a company’s performance during health pandemics. In many companies, all…

Abstract

Purpose

This study aims to help quality professionals in following a precise framework that maintains a company’s performance during health pandemics. In many companies, all quality methods seem to produce performance improvement at different levels, but lean management and kaizen were superior in preparing manufacturing companies to have high readiness levels when faced with a health pandemic.

Design/methodology/approach

Which quality method can help businesses in performing well during a health pandemic? In order to answer this question and be able to provide specific recommendations toward performing well in all future health pandemics, 500 manufacturing companies were selected and surveyed. The selected companies are known to use at least one quality method such as lean management, ISO 9001, European foundation for quality management (EFQM) and Six Sigma.

Findings

EFQM comes second, then Six Sigma and ISO 9001. Lean creates a healthy workplace and enhances worker's health and well-being. This research helps quality professionals in following a precise framework that maintains performance during health pandemics. Whether the company uses lean or other quality methods, the framework helps in achieving pandemic readiness status. The framework is implemented in a company that does not currently use lean. Implementation resulted in significant improvement in pandemic preparedness, corporate performance and employee well-being.

Originality/value

After the coronavirus disease 2019 (COVID-19) pandemic, all companies should start thinking of creating a workplace that functions well during pandemics. To do that, companies should start including sanitation and health pandemic preparedness as part of their performance measurements. Using lean management and kaizen helps organizations to create a healthy workplace; clean and equipped with smaller number of workers. If organizations choose to use other quality methods, it is okay, but they should enhance these methods with lean tools such as elimination of the seven wastes, gemba, 5S and visual management.

Details

Business Process Management Journal, vol. 27 no. 7
Type: Research Article
ISSN: 1463-7154

Keywords

Article
Publication date: 2 March 2022

G. Citybabu and S. Yamini

The purpose of this work is to gain insights about Lean Six Sigma (LSS) in the Indian context by reviewing the related literature for one decade based on various…

Abstract

Purpose

The purpose of this work is to gain insights about Lean Six Sigma (LSS) in the Indian context by reviewing the related literature for one decade based on various perspectives, such as author profile, year of publication, type of firm, type of methodology used, type of industry for which the research work is carried out and the key findings from the research.

Design/methodology/approach

This study reviews the research related to LSS from the articles published in the reputed journals. The literature used for reviewing is derived from the sources, including Science direct, Google scholar, IEEE, Taylor and Francis Group, Emerald Insight, Springer, Inderscience and Elsevier during the period between 2010 and 2021. Totally, the authors have included 141 LSS-related research articles that are published in the Indian context. The keywords used are Lean Six Sigma, Lean Six Sigma in the Indian context, Lean Sigma and LSS to identify and consolidate the research papers published during this timeframe.

Findings

The research papers collected from various reputed journals, including Scopus and non- Scopus enlisted, are classified and grouped under various categories to identify the class of author who publishes more in this field, research trend over the years, the type of firm which implements LSS, the research methodology which is commonly used in LSS and related research and also the key takeaway from these articles are highlighted. Further, the authors have also identified the major contributions of researchers in various sectors during this period in India.

Originality/value

This classification framework and the systematic review help in identifying the research gap and in giving directions for future researchers. It will be useful for researchers and practitioners working on the area of LSS, rural and urban entrepreneurs, start-up managers, professionals working in micro, small and medium enterprises (MSMEs) and executives of the Make in India Project to make India as Aatmanirbhar Bharat Abhiyan. Further, the clear direction of progress over the current decade in manufacturing industries, service sectors and processing industries can help the professionals working in these sectors.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

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