Forthcoming and Online First Articles

International Journal of Intelligent Enterprise

International Journal of Intelligent Enterprise (IJIE)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Intelligent Enterprise (7 papers in press)

Regular Issues

  • A study on perceptions of students on intelligent virtual learning environment during and post COVID-19   Order a copy of this article
    by S. Santha Kumari, M. Nagalakshmi, Srinivasa Rao Angati 
    Abstract: Most nations implemented an emergency lockdown during the COVID-19 epidemic in 2020, which dramatically impacted all aspects of employment and social contact for everyone. During the pandemic, almost all physical classes are cancelled and started through virtual mode in all educational institutions. Along with other fields, education faced many difficulties due to this COVID-19. This paper’s key objective is to know various college students’ perceptions about studying through virtual mode. The learning and teaching communities valued students’ viewpoints, and the questions in the online survey were meant to aid in understanding students’ learning experiences and perceptions of the online delivery form. To know students’ opinions, the researcher conducted a small survey through a semi-structured questionnaire made with Google Forms. Students and most faculty were new to this virtual mode and needed some training. In this survey, the opinions are collected from 230 students and used statistical tools for analysis. Analytical papers investigate all questions and develop inferences from the outcomes. The literature has tried to understand students’ views of virtual learning and identify success factors.
    Keywords: post COVID-19; e-learning; electronic learning; internet; online platforms; perceptions; students; virtual learning; intelligent virtual learning environment.
    DOI: 10.1504/IJIE.2024.10061833
     
  • Optimised hybrid CNN bi-LSTM model for stock price forecasting   Order a copy of this article
    by Deepti Patnaik, N. V. Jagannadha Rao, Brajabandhu Padhiari, Srikanta Patnaik 
    Abstract: Financial markets are considered as back bone of the country’s economy. This article focuses on the stock price forecasting using deep learning models. Here, a hybrid model, i.e., convolutional neural network, bidirectional long short-term memory network has been proposed and its parameters are optimised by self-adaptive multi-population elitist JAYA algorithm. Stock prices of more than 13 years of various challenging stock exchanges of the globe such as: Standard & Poor 500, NIFTY 50, Nikkei 225, Dow Jones are used here for analysis purposes. The performance parameters such as root mean square error, mean absolute percentage error and mean absolute error are used for analysing the model. The proposed hybrid model is also compared with state-of-art models and it is found that this proposed model out performs the existing models.
    Keywords: forecasting; convolutional neural network; bidirectional long short-term memory; LSTM; hybrid model; evolutionary computation; SAMPE Jaya algorithm; RMSE; MAE.
    DOI: 10.1504/IJIE.2024.10061912
     
  • Decision support system for maintenance order priority of multistate coal handling system with hot redundancy   Order a copy of this article
    by Sudhir Kumar, P.C. Tewari, Anish Kumar Sachdeva 
    Abstract: This paper describes newly developed decision support system for maintenance order priority which is an essential requirement to maintain excellent maintenance operations. It also discusses the performability evaluation of coal handling system of a coal-based thermal power plant using the stochastic petri nets (SPN) technique. A licensed version of petri GRIF-predicates software was used for the modelling purpose. The performability in long-term availabilities of the different subsystems is obtained by varying failure and repair rates (FRR) in permissible ranges during performance modelling of plant. Based upon the performability matrices the maintenance order priorities of subsystems were predicted. The present paper examines the impact of varying failure and repair rates of subsystems on the performance behaviour and performability of coal handling system. Further, the effect of varying the repair facilities available on the performability of whole system is also evaluated. From the performability matrices, it has been observed that crushers are the most critical subsystems which drastically affect the overall performability of system. The critical study would help the maintenance engineers to plan for allocation of repair facilities for the different subsystems in advance based upon the severity of their failure.
    Keywords: performability analysis; decision support system; DSS; Petri-Nets; coal handling system; stochastic petri nets; SPN; failure and repair rates; FRR.
    DOI: 10.1504/IJIE.2024.10059304
     
  • An analysis of policy prospective of taxi aggregators and consumers in digital eco-system   Order a copy of this article
    by Ayush Goel, Gurudev Sahil 
    Abstract: The term 'digital trade' is becoming more prevalent in the modern era. Newer company structures have evolved to replace traditional methods with online companies as digitalisation has become the standard. Taxi aggregators are one of the most prevalent digital business concepts. With this particular model, which is now known as taxi aggregators, you may quickly book a cab using your smartphone for transportation inside and outside the city limits. They are also inexpensive to use. Nevertheless, as lawmakers created new and revised rules to control these business models, the last two years have been very difficult for application-based taxi providers like Ola and Uber. The regulations are being developed by legislators in several nations, but the pace and the scope are much slower than necessary. This essay will examine past and present taxi market scenarios before suggesting ways to enhance them in the future.
    Keywords: taxi-aggregator; intermediaries; sharing-economy; digital business model; e-commerce; motor vehicle rules 2020; product liability; data confidentiality; consumer protection act 2019; online software system; innovative technology.
    DOI: 10.1504/IJIE.2024.10062445
     
  • Machine learning to predict the field reliability of electric steam irons   Order a copy of this article
    by Silas Muzorewa, A. Telukdarie 
    Abstract: The purpose of this research is to apply machine learning methods to predict field reliability of household electromechanical appliances. The scope of household electro-mechanical appliances was narrowed down to include only electric steam irons. The research approach involved data collection, data exploration, selection of a machine learning technique, model training, model performance evaluation, and performance improvement. Using physical, performance, and reliability data, we trained a Naïve Bayes model to predict the field reliability of steam irons. The highest prediction accuracy achieved was 78%. To evaluate the discrimination ability of the prediction model, we performed receiver operating characteristic (ROC) analysis, which yielded an average area under curve (AUC) of 0.86. Our proposed method allows industry practitioners to evaluate the field reliability of new electromechanical appliances using limited data in a timeous and cost-effective manner. The method presented solely utilises the design and performance features of an appliance to predict field reliability.
    Keywords: reliability prediction; electromechanical appliances; household appliances; Naïve Bayes; NB.
    DOI: 10.1504/IJIE.2024.10060939
     
  • Unmanned aircraft system safety, security, and regulation in urban aviation ecosystems   Order a copy of this article
    by K. Kirthan Shenoy, Divya Tyagi 
    Abstract: A small flying object breaks away from the flock of birds over the blue sky, navigating independently. Unmanned aircraft systems (UAS), or drones, as they are commonly referred to, have become common phenomena flying over people and property. Their growing presence in civilian airspace has prompted authorities worldwide to establish national regulations, including the international civil aviation organisation, which is working to create a UAS ecosystem that is standardised and regulated. The fast expansion of UAS worldwide has resulted in several legal and ethical concerns related to using UAS. Discussion is required regarding the issues of the rights of individuals on the ground, the safety of life and property, rogue unmanned aerial systems, and the requirement for standardised operating rules. The role that UAS will play and the policy direction they should follow worldwide will be determined by the lessons learnt from the framework of manned aviation, together with active consultation with stakeholders.
    Keywords: unmanned aircraft systems; UAS; drones; privacy; safety; data protection; security; counter UAS system; unmanned aircraft system traffic management; urban aviation ecosystems.
    DOI: 10.1504/IJIE.2024.10062444
     
  • Diffusion of Industry 4.0 technologies in logistics: learning from past and future direction   Order a copy of this article
    by Vijay Prakash Sharma, Surya Prakash, Ranbir Singh, Bharti Ramtiyal 
    Abstract: The proposed research work contributes toward the analysis of various technologies of Industry 4.0 (I4.0) relevant to logistics management (LM). The study presents a holistic view of I4.0.T diffusion in LM and is intended to provide an assessment of the current literature work. The internet of things (IoT) is the most prominent technology under the umbrella of technologies in I4.0 contributing toward efficient and speedy last-mile delivery (LMD). The review article examines the progress of the research area over the past 11 years and highlights the technological requirements and challenges that the introduction of I4.0 is facing for LM. This will help researchers and industries assess the influence of I4.0.T to make logistics services more efficient, reliable, and risk-free in the changing 21st century. This review paper will present the current scenario of technological advancement in the field of logistics and provide future research directions.
    Keywords: Industry 4.0 technologies; logistics management; last-mile delivery; LMD; internet of things; IoT; artificial intelligence.
    DOI: 10.1504/IJIE.2023.10060185