19 November 2019

Special issue published: "Applications of Hybrid Bio Inspired Algorithms"

International Journal of Computational Intelligence Studies 8(4) 2019

  • Fuzzy knowledge-based fractional order PID control implementation with nature inspired algorithms
  • Stock price trend prediction with long short-term memory neural networks
  • Prediction of air pollution using LSTM-based recurrent neural networks
  • Human activity recognition from histogram of spatiotemporal depth features

Research pick: The shadowy world of information technology - "The growing impact of Shadow IT on higher education"

Educational institutions such as universities have for years battled against the rise of “Shadow” Information Technology, software and hardware that their users, whether student or educator, might bring to the establishment and us in conjunction with or instead of on-site equipment controlled by the IT department at the institution.

This shadowy world is a double-edged sword for the institution. On one hand, it means that staff and students can use the equipment and software with which they are familiar to fulfill their respective roles, but on the other, the institution’s IT department has no control on such hardware and software which might represent a security and/or safety risk to other users and the services the IT department provides.

Owen Hall of Pepperdine University in Malibu, California, USA, writing in the International Journal of Information Systems and Management, explains the quandary facing educational establishments and offers a hybrid view that allows user and establishment to utilize Shadow IT, such as personal laptops, tablets, and smartphones and associated software and applications without compromising safety and security. Indeed, such an ameliorating approach might ultimately benefit the institution by reducing the overall burden on IT resources provided the risks are acknowledged and taken into consideration in allowing users to work in the shadows, as it were.

He concludes that constant vigilance and awareness are key to success with such a hybrid approach to IT use but conversely represent the greatest challenge. Moreover, it is critical to educate end-users to the putative problems of their using shadow IT and to demonstrate how resources provided by the university information systems organization might be just as useful to them in their endeavours within the academic world.

Hall Jr., O.P. (2019) ‘The growing impact of Shadow IT on higher education’, Int. J. Information Systems and Management, Vol. 2, No. 1, pp.1–16.

15 November 2019

Special issue published: "Innovations in Manufacturing for the Engineering of Modern Materials"

International Journal of Materials Engineering Innovation 10(4) 2019

  • Optimisation of drilling parameters for minimum circularity error in FRP composite
  • A comprehensive modelling, analysis and optimisation of adhesive bonded single lap glass fibre reinforced composite joints
  • Morphological evaluation of ultra low-density poly (methyl methacrylate) microcellular plastic developed through cyclic foaming technique
  • Mechanical and wear characterisation of modern hybrid composite material
  • Artificial neural network modelling and analysis of carbon nanopowder mixed micro wire electro discharge machining of gold coated doped silicon

Research pick: Optimising the pharmaceutical industry - "Performance optimisation of a pharmaceutical production line by integrated simulation and data envelopment analysis"

Research published in the International Journal of Simulation and Process Modelling shows how integrated simulations can be used to optimize a pharmaceutical production line in a way that conventional mathematical modeling cannot.

Ahmad Taher Azar of Prince Sultan University, in Riyadh, KSA, and colleagues built their simulation using data and information from a working production line and then utilized the simulation to generate putative inputs and outputs for a range of production scenarios to show how they might be optimized for different resources and products. “This is the first study in which an integrated simulation DEA is used for the performance optimisation of a pharmaceutical unit,” the team writes.

The simulations showed six bottlenecks that reduce efficiency and slow production. These were brought into the simulated, verified and validated simulations so that they might be expunged from particular production scenarios. The simulations could then be combined in such a way to generate the optimal setup for any of more than 40 scenarios that the engineering team on a production line might face. Critically, any one of the many factors can affect overall efficiency and so a holistic approach has to be taken to reduce overheads and ensure the most efficient and effective approach.

Habibifar, N., Hamid, M., Bastan, M. and Azar, A.T. (2019) ‘Performance optimisation of a pharmaceutical production line by integrated simulation and data envelopment analysis’, Int. J. Simulation and Process Modelling, Vol. 14, No. 4, pp.360–376.

14 November 2019

Special issue published: "Recent Advances in Sensing Technology, Vehicle Control Systems and Tyre Design Considerations for Electric and Autonomous Vehicles"

International Journal of Vehicle Design 79(4) 2019

  • Vehicle longitudinal force estimation using adaptive neural network nonlinear observer
  • Integrated control of AFS and DYC for in-wheel-motor electric vehicles based on operation region division
  • Pressure controlling of integrated electro-hydraulic braking system with considering driver brake behaviour
  • Active steering control system for an independent wheel drive electric vehicle
  • A data-based lane departure warning algorithm using hidden Markov model

Inderscience journals to invite expanded papers from 1st Global Conference on Artificial Intelligence and Applications (GCAIA 2020) for potential publication

Extended versions of papers presented at the 1st Global Conference on Artificial Intelligence and Applications (GCAIA 2020) (8-10 September 2020, Jaipur, Rajasthan, India) will be invited for review and potential publication by the following journals:

Special issue on: "Hybrid Computational Intelligence in Big Data Analytics and Cloud Computing"

International Journal of Hybrid Intelligence 1(2/3) 2019

  • Smart healthcare model with fog-cloud network architecture
  • Improved real coded genetic algorithm-based short-term hydrothermal generation planning
  • A survey on big data: an emerging imparity and revolution in digital world
  • A comparative study of text mining in big data analytics using deep learning and other machine learning algorithms
  • Cloud database failure prediction using multi agent system
  • IoT-based algorithms for distributed location detection for flights
  • Combined economic emission and load dispatch using hybrid metaheuristics
Additional paper
  • Intentional and unintentional misbehaving node detection and prevention in mobile ad hoc network

Research pick: La Dolce Vita Australiano - "Creating a little bit of La Dolce Vita’. Explaining resilience and transformation in the Hunter Valley wine region, NSW, Australia"

As tastes and trade change, so the proactive marketing department must reinvent its brands and what they might refer to as their “offering”. Writing in the International Journal of Globalisation and Small Business, a research team from Australia discusses how the once entirely desirable wines of the Hunter Valley region have now become part of a bigger gastronomic landscape to keep pace with trends and continue to sell their wines and other produce.

Sidsel Grimstad and Jennifer Waterhouse of the University of Newcastle, New South Wales and John Burgess of RMIT University in Melbourne, Victoria explain how resilience and transformation have been applied to create “a little bit of La Dolce Vita” in the region.

Hunter Valley is a small national producer but is, the researchers suggest, a strong custodian of the region’s wine identity. “The importance of having regional identity ‘custodians’ such as the old wine families that ensure that the landscape maintains the rural aesthetic, creates embedded institutions that benefit both old and new entrants,” the team writes. They add that “new entrants may be considered a risk, they also provide a continuous stream of creative solutions and investments, leading to continuous improvement of quality and luxury provision of wine and gastronomy sensory experiences.”

The team’s case study shows that wine-tourism in the Hunter Valley region is strong and more resilient because it has regenerated itself into a gastronomic landscape where lifestyle, food, wine, and tourism complement each other, the team says. “Through this, the Hunter Valley manages to maintain its lead among the top Australian destinations for both national and international wine and food tourists,” they conclude.

Grimstad, S., Waterhouse, J. and Burgess, J. (2019) ‘‘Creating a little bit of La Dolce Vita’. Explaining resilience and transformation in the Hunter Valley wine region, NSW, Australia’, Int. J. Globalisation and Small Business, Vol. 10, No. 4, pp.359–380.

13 November 2019

Special issue published: "Networks in Changing Business Ecosystems"

International Journal of Globalisation and Small Business 10(4) 2019

  • Influence of mentors on networking behaviour of small business owners: a conceptual framework
  • The role of internal resources in the competitive positioning of Sicilian wine cooperatives
  • Regional strategic networks in southern Brazil
  • 'Creating a little bit of La Dolce Vita'. Explaining resilience and transformation in the Hunter Valley wine region, NSW, Australia

Editor in Chief of International Journal of Multicriteria Decision Making becomes Honorary Doctor for University of Western Macedonia

Prof. Constantin Zopounidis, Editor in Chief of the International Journal of Multicriteria Decision Making, has recently been appointed as Honorary Doctor at the University of Western Macedonia's School of Economics. Further details are available here.

Special issue published: "Internet of Things Security"

International Journal of Information Privacy, Security and Integrity 4(1) 2019

  • Survey: secure opportunistic routing protocols in wireless networks
  • Security analysis for intelligent urban freight transport
  • Connected car and CO2 emission overview: solutions, challenges and opportunities
Additional paper
  • Differential cryptanalysis on DES cryptosystem up to eight rounds


Research pick: Nordic walking by electronic word-of-mouth - "Positive and negative emotional spirals in e-WOM of new recreational sports: a case study on Nordic walking"

Ulla Hakala and Birgitta of the Sandberg Turku School of Economics, University of Turku, Finland, and Marta Zurawik of Wigan, UK, have investigated electronic word-of-mouth, so-called e-WOM in the context of a relatively new recreational sport, Nordic walking. They hoped to reveal how positive and negative emotions affect e-WOM. Their hypothesis underpinning the study suggests that there is limited knowledge of emotional sharing concerning novel recreational activities.

At the moment, the team explains, there is limited knowledge on emotional sharing concerning novel recreational activities, ones that some – whether participant or observer – might perceive as embarrassing in some way. They have analysed the online discussion surrounding Nordic walking in different countries and found that there are positive and negative views about the activity as one might expect.

“Our understanding of the contagion of emotions in social encounters is limited and the effect of discrete emotions on changes in physical activity behaviour remains largely unexplored,” the team writes. Their work sets out to explore the emotional response to novel recreational activities and to set a context for the study of eWOM with respect to such activities. They suggest that their work is “the beginning of a journey to explore the social sharing of emotions and the role of social media in sharing opinions and experiences on engagement in novel physical activities.”

Zurawik, M., Hakala, U. and Sandberg, B. (2019) ‘Positive and negative emotional spirals in e-WOM of new recreational sports: a case study on Nordic walking’, Int. J. Leisure and Tourism Marketing, Vol. 6, Nos. 3/4, pp.254–278.

12 November 2019

International Journal of Hybrid Intelligence to invite expanded papers from 1st Global Conference on Artificial Intelligence and Applications (GCAIA 2020) for potential publication

Extended versions of papers presented at the 1st Global Conference on Artificial Intelligence and Applications (GCAIA 2020) (8-10 September 2020, Jaipur, Rajasthan, India) will be invited for review and potential publication by the International Journal of Hybrid Intelligence.

Free open access article available: "An integrated risk assessment and management framework for carbon capture and storage: a Canadian perspective"

The following paper, "An integrated risk assessment and management framework for carbon capture and storage: a Canadian perspective" (International Journal of Risk Assessment and Management
 22(3/4) 2019), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Information Privacy, Security and Integrity

The following sample articles from the International Journal of Information Privacy, Security and Integrity are now available here for free:
  • An experiment of hit-and-run wireless attacks
  • Secure and privacy-oriented obfuscation scheme for smart metering in smart grid via dynamic aggregation and lightweight perturbation
  • Isolating malicious content scripts of browser extensions
  • Automatic detection of DDoS attacks to notification services

Free open access article available: "Uncertainty in risk issues for carbon capture and geological storage: findings from a structured expert elicitation"

The following paper, "Uncertainty in risk issues for carbon capture and geological storage: findings from a structured expert elicitation" (International Journal of Risk Assessment and Management
 22(3/4) 2019), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Clustering peers to boost P2P networks - "A file sharing system in peer-to-peer network by a nearness-sensible method"

The concept of peer-to-peer (P2P) networking came to the fore as part of the movement that led to the freeing up of digital information although it gained considerable notoriety when it was hijacked for the purposes of illicit and illegal file sharing. However, it remains an important concept in distributing upload and download bandwidth among users with large files to distribute and P2p networking is used by many different tools with perfectly legitimate applications.

Writing in the International Journal of Reasoning-based Intelligent Systems, a team from India points out that for efficient use of a P2P network it is best if users that are a short hop from each other in terms of internet connectivity are clustered together. This can reduce the total burden on system resources and bandwidth by precluding the sending of packets of data across non-optimal transfer distances. The team of S. Vimal at the Sathyabama Institute of Science and Technology, in Chennai, and S.K. Srivatsa of MIT at Anna University also in Chennai, India, have shown how a clustered P2P network that utilizes a file-replication algorithm can boost efficiency still further.

The team describes their approach as a “nearness and interested cluster (NIC) super peer network. The interests and categorized “sub-interests” of peers are used to cluster them according to the most likely of digital commodities that they might be anticipated to share.

Vimal, S. and Srivatsa, S.K. (2019) ‘A file sharing system in peer-to-peer network by a nearness-sensible method’, Int. J. Reasoning-based Intelligent Systems, Vol. 11, No. 4, pp.293–299.

11 November 2019

Inderscience journals to invite expanded papers from 12th International Exergy, Energy and Environment Symposium for potential publication

Extended versions of papers presented at the 12th International Exergy, Energy and Environment Symposium (IEEES-12) (22-26 March 2020, Hamad Bin Khalifa University, Education City, Doha, Qatar) will be invited for review and potential publication by the following journals:

Free open access article available: "Risk management in carbon capture and geological storage: insights from a structured expert elicitation"

The following paper, "Risk management in carbon capture and geological storage: insights from a structured expert elicitation" (International Journal of Risk Assessment and Management
 22(3/4) 2019), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Special issue published: "People, Planet and Development: Bridging the Gaps in Emerging Economies"

International Journal of Environment and Sustainable Development 18(4) 2019

  • Climate change adaptation: a corrective policy framework in the Malaysian agricultural sector
  • The environmental resource management paradox in an impoverished urban population: a case study from Malaysia
  • Global population stabilisation policy and declining work-age population: a threat to global economic sustainability
  • Sustainability practices framework of the palm oil milling sub-sector: a literature survey
  • Sustainability of Malaysian oil palm: a critical review

Free open access article available: "Risk communication and public engagement in CCS projects: the foundations of public acceptability"

The following paper, "Risk communication and public engagement in CCS projects: the foundations of public acceptability" (International Journal of Risk Assessment and Management
 22(3/4) 20XX), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from Journal for International Business and Entrepreneurship Development

The following sample articles from the Journal for International Business and Entrepreneurship Development are now available here for free:
  • Sustainable development and green tourism: new practices for excellence in the digital era
  • Exploring entrepreneurship, innovation and tourism development from a sustainable perspective: evidence from Greece
  • Strategic development and business process automation networks in Greek tele-companies
  • The role of environmental responsibility in tourism
  • E-commerce and e-customer satisfaction during the economic crisis
  • Exploring educational needs of young farmers in precision agriculture in Serres, Greece, and the perspective of innovative agricultural educational programs

8 November 2019

Free open access article available: "Potential technical hazards associated with four North American carbon capture and sequestration projects"

The following paper, "Potential technical hazards associated with four North American carbon capture and sequestration projects" (International Journal of Risk Assessment and Management
 22(3/4) 2019), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Special Issue published: From the Members of the Editorial Board of the International Journal of Mechatronics and Manufacturing Systems

International Journal of Mechatronics and Manufacturing Systems 12(3/4) 2019

  • Comparison of model free control strategies for chatter suppression by an inertial actuator
  • Micro textured cutting tool effects on cutting forces, volumetric wear and adhesion in dry turning of titanium alloy
  • Cutting force investigation in face milling of additively fabricated nickel alloy 625 via powder bed fusion
  • Development of a portable stereolithography device for computer numerical control machining centres
  • Ultrasonic-assisted machining processes: a review
  • Data-driven productivity improvement in machinery supply chains
  • Meshless single grain cutting simulations on the GPU
  • Robust trajectory control of an unmanned aerial vehicle using acceleration feedback
  • Development and application of an automated impulse hammer for improved analysis of five-axis CNC machine dynamics and enhanced stability chart prediction
  • Smart factory equipment integration through standardised OPC UA communication with companion specifications and equipment specific information models

Free open access article available: "Improving decision making for carbon management initiatives"

The following paper, "Improving decision making for carbon management initiatives" (International Journal of Risk Assessment and Management 22(3/4) 2019), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Smooth and stable electric vehicle charging - "Home energy management based on plug-in electric vehicle power control in a residential smart grid"

Siwar Khemakhem, Mouna Rekik, and Lotfi Krichen of the Control and Energy Management Laboratory at the National Engineering School of Sfax, in Tunisia, are investigating the potential of home energy management based on plug-in electric vehicle power control in a residential smart grid.
Writing in the International Journal of Digital Signals and Smart Systems, the team explains how the advent of electric vehicles has shifted the pressure to some extent from power supply based filling a tank with a liquid or gas fuel at a station to generally charging one’s vehicle from home. As more and more drivers switch to electric vehicles there is a need to make the supply of power smarter. The team has now proposed an optimal charge/discharge power management algorithm that can be used in residential areas and takes into account smart grid technology.

“The purpose of this control strategy is to ensure the energy flow exchanging between plugin electric vehicles and smart home to improve the energy efficiency and to achieve a flattened power load curve,” the team writes. Their algorithm finds the optimal approach to charging for off-peak and home-to-vehicle power supply. It also looks at how to cope when charging is needed during peak electricity demand periods. Simulation of the algorithm shows that it is capable of smoothing the power load curve and making the smart grid stable and secure by switching between four operating modes where discharging electricity from the vehicle’s batteries occurs when demand is high but charging is boosted during off-peak times.

Khemakhem, S., Rekik, M. and Krichen, L. (2019) ‘Home energy management based on plug-in electric vehicle power control in a residential smart grid’, Int. J. Digital Signals and Smart Systems, Vol. 3, Nos. 1/2/3, pp.173–186.

7 November 2019

Research pick: Modelling Klee - "Modelling and generating abstract images of Paul Klee style"

Bauhaus artist, Paul Klee (1879-1940) had a unique abstract style nodding, by turns to Expressionism, Cubism, and Surrealism. Now, computer scientists from China and the USA are working together to create an algorithm that can mimic the style of the Swiss-born artist. Their research adds to the oeuvre that is known as generative art.

Writing in the International Journal of Arts and Technology, Hanqing Zhao of Tianjin University, and Kang Zhang of The University of Texas at Dallas discuss how they have used their personal assessment and computer analysis to study Klee’s Pedagogical Sketchbook created in his later years. Having analysed the colour and composition of Klee’s paintings, the team has used a computer to generate with randomly adjusted parameters of compositions and palette, two generative artworks in the style of Klee.

The team explains that the scalable framework they have developed offers a novel paradigm for the generation of abstract images. The team suggests that generative art of this type can have its place as an art form in its own right. Moreover, by providing a non-invasive way to analyse and then describe original artistic works it might be a useful tool for those studying traditional, albeit modern or abstract, paintings.

“Other researchers could extend this framework on other abstract paintings’ styles,” the team writes. “We hope that our work inspires both artists and computer scientists for further research on new media art and design.”


Pictured above are captures of the originals of Glass Façade and New Harmony with generative forms created by the authors on the right.

Zhao, H. and Zhang, K. (2019) ‘Modelling and generating abstract images of Paul Klee style’, Int. J. Arts and Technology, Vol. 11, No. 4, pp.380–392.

Special issue published: "Recent Advances in Electrical Systems"

International Journal of Digital Signals and Smart Systems 3(1/2/3) 2019

  • Intelligent SVM technique of a multi-level inverter for a DFIG-based wind turbine system
  • Effects of temperature on the electromagnetic shielding effectiveness under a plane wave excitation
  • PID controller compared with dynamic matrix control applied on disturbed complex system
  • Novel voltage-based PV MPPT controller
  • Direct torque control of induction machine drive based on sliding mode controller and a stator resistance compensator with a new hybrid observer
  • Diagnosis inverter-fed induction motor fault at low load conditions by using demodulation Teager-Kaiser energy operator based on stator current
  • Pattern recognition-based fault detection of a PM synchronous motor under stator winding short circuit faults
  • Regrouping of acoustics microwaves in piezoelectric material (ZnO) by SVM classifier
  • MRAS speed observer for sensorless adaptive intelligent backstepping controller of induction machines
  • Optimal digital PID controller design for regulating blood glucose level of type-I diabetic patients
  • Delay dependent stability analysis of Takagi-Sugeno fuzzy time-delays system
Additional paper
  • Home energy management based on plug-in electric vehicle power control in a residential smart grid

Free open access article available: "The economic evaluation of the benefits and costs of carbon capture and storage"

The following paper, "The economic evaluation of the benefits and costs of carbon capture and storage" (International Journal of Risk Assessment and Management 22(3/4) 2019), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Special issue published: "Recent Advances in Bio-Inspired Computing Paradigms for Security and Privacy of Innovative Computing"

International Journal of Innovative Computing and Applications 10(3/4) 2019

  • An out-of-band mobile authenticating mechanism for controlling access to data outsourced in the mobile cloud environment
  • Parkinson's diagnosis using ant-lion optimisation algorithm
  • An improved chaotic-based African buffalo optimisation algorithm
  • Image integrity verification via reversible predictive hiding and elliptic curve Diffie-Hellman
  • Bio-inspired algorithms for diagnosis of breast cancer
  • A robust approach to detect video-based attacks to enhance security
  • Increased PSNR with improved DWT digital watermarking technique
  • Secure provenance-based communication using visual encryption
Additional paper
  • A survey on partitional clustering using single-objective metaheuristic approach

Free open access article available: "Alberta's approach to the transfer of liability for carbon capture and storage projects"

The following paper, "Alberta's approach to the transfer of liability for carbon capture and storage projects" (International Journal of Risk Assessment and Management 22(3/4) 2019), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

6 November 2019

Free open access article available: "The evolution of regulatory practice for CCS projects in Canada"

The following paper, "The evolution of regulatory practice for CCS projects in Canada" (International Journal of Risk Assessment and Management 22(3/4) 2019), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Free sample articles newly available from International Journal of Digital Signals and Smart Systems

The following sample articles from the International Journal of Digital Signals and Smart Systems are now available here for free:
  • Massively parallel hybrid algorithm on embedded graphics processing unit for unmanned aerial vehicle path planning
  • Control design and sensors fault tolerant for vehicle dynamics (a selected paper from SSD'17)
  • Iris recognition: using a statistical model of shape and spatial relation for effective segmentation
  • Fast detection control for fault-tolerant converter back-to-back with redundancy leg supplying an induction motor drives
  • Controlling schemes in digital load side transmission system for intelligent lighting

Free open access article available: "Risk assessment and management frameworks for carbon capture and geological storage: a global perspective"

The following paper, "Risk assessment and management frameworks for carbon capture and geological storage: a global perspective" (International Journal of Risk Assessment and Management 22(3/4) 2019), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Special issue published: "New Paradigms in International Business"

Journal for International Business and Entrepreneurship Development 12(1) 2019

  • Greenfield investment vs. merger and acquisition as an entry strategy in Mexico - the case of Austrian companies
  • A study on financial constraints of capital structure theories and dividend policy: evidence from Indian capital market
  • The role of video marketing in the modern business environment: a view of top management of SMEs
  • International franchising in the fashion industry from the franchisor perspective
  • Factors affecting the performance of women entrepreneurs in SMEs: a case study of Punjab, Pakistan

Free open access article available: "Environmental scan and issue awareness: risk management challenges for CCS"

The following paper, "Environmental scan and issue awareness: risk management challenges for CCS" (International Journal of International Journal of Risk Assessment and Management 22(3/4) 2019), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Research pick: Unlocking happiness - "Finding the skeleton key to happiness: evaluating model invariance of subjective well-being in a comparison of large urban centres worldwide"

What is the key to happiness? More to the point, is there a universal skeleton key that city dwellers could use to unlock happiness? Writing in the aptly named International Journal of Happiness and Development, a Canadian team finds the answers.

When it comes to happiness, it is difficult to predict what might make a person feel that way, regardless of the received wisdom with regards to wealth, health, and other factors. Indeed, Kenneth Cramer of the Department of Psychology at the University of Windsor in Windsor Ontario and Rebecca Pschibul of Western University in London, Ontario, Canada, suggest that higher creativity, optimism, longevity, and lower hostility and self-centredness, are good markers of happiness. But, they wonder whether such factors are universal. As such, they have carried out a study of several large urban centres around the world to find out.

The team looked at various elements of city life including economics, culture and education, income, safety, living conditions, city administration, health, city pride, and the self-reported level of happiness. It seemed that each urban centre had a different overall makeup in terms of these antecedents to happiness. Apparently, there is no universal key. In general, health was the greatest common predictor of happiness (especially among men) with pride in one’s city second on the list, and, perhaps surprisingly, household income.

Ultimately, the team did not find a skeleton key to unlock happiness, there is, they explain “little support for the invariance (generalisability) hypothesis”. They point out that rather than attempting to find a one size fits all solution across the globe, much within reach is a greater understanding of the relevant elements that could be used to promote greater quality of urban life in specific regions.

Cramer, K.M. and Pschibul, R. (2019) ‘Finding the skeleton key to happiness: evaluating model invariance of subjective well-being in a comparison of large urban centres worldwide’, Int. J. Happiness and Development, Vol. 5, No. 3, pp.257–278

5 November 2019

Special issue published: "Contemporary Supply Chain Challenges Security Quality Sustainability"

International Journal of Learning and Change 11(3) 2019

  • Ensuring ecology of cargo transportation by road transport
  • Adoption of voluntary environmental tools in Slovak Republic - focused on ISO 14001 and EMAS
  • Consumer dissatisfaction structure - e-logistic perspective: Lithuania case
  • Challenges for automatic identification systems in the supply chain
  • Managing firm's logistics and knowledge: the value concept
  • Risks of illegal migration and associated damage to transport companies. The case of the corridor France-UK

International Journal of Banking, Accounting and Finance increases issues

The International Journal of Banking, Accounting and Finance has announced that it will be increasing issues from two to four from 2020 onwards.

Free open access special issue published: "Risk Assessment and Management of Carbon Capture and Storage: A Canadian Perspective"

International Journal of Risk Assessment and Management 22(3/4) 2019

The following open access articles are all available for free.

  • Environmental scan and issue awareness: risk management challenges for CCS
  • Risk assessment and management frameworks for carbon capture and geological storage: a global perspective
  • The evolution of regulatory practice for CCS projects in Canada
  • Alberta's approach to the transfer of liability for carbon capture and storage projects
  • The economic evaluation of the benefits and costs of carbon capture and storage
  • Improving decision making for carbon management initiatives
  • Potential technical hazards associated with four North American carbon capture and sequestration projects
  • Risk communication and public engagement in CCS projects: the foundations of public acceptability
  • Risk management in carbon capture and geological storage: insights from a structured expert elicitation
  • Uncertainty in risk issues for carbon capture and geological storage: findings from a structured expert elicitation
  • An integrated risk assessment and management framework for carbon capture and storage: a Canadian perspective

Research pick: Unauthorised logistics - "Risks of illegal migration and associated damage to transport companies. The case of the corridor France – UK"

Writing in the International Journal of Learning and Change, researchers explain how more than a million unauthorised immigrants and refugees entered Europe in 2015. Unfortunately, there are many delays facing those with a legitimate claim to seeking asylum. Many people are also rejected for a wide variety of reasons and various factors have encouraged many migrants to bypass the legal routes. They enter Europe and travel through it illicitly in land vehicles being smuggled across borders and into and through their chosen European country often without being noticed. This often ends tragically for many of those seeking a new life in another country as we have seen very recently in the news.

Aidas Vasilis Vasiliauskas and Ieva Meidute-Kavaliauskiene of the General Jonas Žemaitis Military Academy of Lithuania, Virgilija Vasiliene-Vasiliauskiene and Margarita Marija Lietuvnike of Vilnius Gediminas Technical University have looked at the economic costs of illegal immigration on European road freight transport companies operating in the corridor between France and the United Kingdom.

“Taking into consideration that road freight transport is the main mode of transport ensuring the functioning of logistics system in Europe, the consequences may surely be serious: disruption in the processes of supply, production and distribution, cargo delays or failures to arrive, interrupted factory operations, losing cooperation with clients,” the team writes. There is an ever-pressing need for the private and public sectors to work together to find a way to address the problem of illegal migrants. Solutions could save lives as well as reduce the detrimental effects on companies and their employees involved in freight between France and the UK.

Vasiliauskas, A.V., Vasiliene-Vasiliauskiene, V., Lietuvnike, M.M. and Meidute-Kavaliauskiene, I. ‘Risks of illegal migration and associated damage to transport companies. The case of the corridor France – UK’, Int. J. Learning and Change

1 November 2019

Research pick: Healthy activities in the smart home - "A new approach for the recognition of human activities"

Evaluating a patient’s ability to perform daily activities is critical to successful nursing and healthcare, particularly in the elderly. Such an assessment is a powerful predictor of so-called morbidity, or how much the patient is affected detrimentally by their symptoms. New research in the International Journal of Ad Hoc and Ubiquitous Computing is looking to develop a machine learning approach that can address the task of recognising a patient’s different activities in a smart home.

Salima Sabri and Abdelouhab Aloui of the Université de Bejaia in Algeria have evaluated their approach by comparing it to a Markov statistical approach and using several performance measures over three datasets. “We show how our model achieves significantly better recognition performance on certain data sets and with different representations and discretisation methods with an accuracy measurement that exceeds 92% and accuracy of 68%,” they report.

The team explains how context-aware systems are coming to the fore in healthcare research for monitoring the negative symptoms of an aging population without the need for undue invasiveness on the part of healthcare workers. Classification based on well-known and well-established indicators might now be incorporated into an automated system to show how well a patient can care for themselves or whether intervention is needed to assist them in coping with their symptoms.

Sabri, S. and Aloui, A. (2019) ‘A new approach for the recognition of human activities’, Int. J. Ad Hoc and Ubiquitous Computing, Vol. 32, No. 4, pp.211–223.

31 October 2019

Research pick: Bag of words test for Alzheimer’s disease - "Automatic selection of lexical features for detecting Alzheimer’s disease using bag-of-words model and genetic algorithm"

A positive diagnosis of Alzheimer’s disease (AD) can only be made definitively post mortem. However, there are many symptoms that become apparent as the disease progresses and specialists can usually be quite certain of a diagnosis. However, as with many diseases, the later the diagnosis, the less successful medical interventions will generally be. New research published in the International Journal of Computer Applications in Technology, offers an approach to earlier diagnosis of AD.

Gang Lyu of the Changshu Institute of Technology, in Suzhou, Jiangsu, and Aimei Dong of Qilu University of Technology, in Jinan, Shandong, China, explain that neuropsychological testing of patients suspected of having AD has many advantages, primarily in that it is a non-invasive and low-cost approach. However, there is a need for the manual selection of features and this makes the approach unpopular. An automated approach to extracting and selecting features from text would be more conducive to an acceptable way to provide evidence of the condition to the expert clinician.

The team has now developed an algorithm that utilizes the “bag-of-words model” of natural language processing technology. This can extract all the vocabulary features from text and then a genetic algorithm selects the lexical features automatically. They have now tested their approach on the DementiaBank database and obtained almost 80 percent diagnostic accuracy, which compares favourably to manual feature-based methods.

“The new approach also has the ability to process data quickly and automatically, which can greatly help clinicians improve their work,” the team concludes.

Lyu, G. and Dong, A. (2019) ‘Automatic selection of lexical features for detecting Alzheimer’s disease using bag-of-words model and genetic algorithm’, Int. J. Computer Applications in Technology, Vol. 61, No. 4, pp.306–311.

30 October 2019

Inderscience journals to invite expanded papers from International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE'20) for potential publication

Extended versions of papers presented at the International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE'20) (24-25 February 2020, VIT Vellore, India) will be invited for review and potential publication by the following journals:

Research pick: A clear view through fog of city surveillance - "Smart city video surveillance using fog computing"

CCTV – closed-circuit television – is widely used to carry out surveillance in a wide range of environments from military installations to shopping centres. Modern video surveillance, with recording and playback facilities, multiple cameras, and other infrastructure are quite unwieldy and rely on expensive computer servers that can process and store video.

Research carried out in India, where video surveillance is becoming increasingly important as the incidence of anti-social behaviour in cities rises, seeks to reduce the demands on computing infrastructure by employing, not cloud computing, but fog computing. P. Prakash and Dhinesh Kumar of the Amrita School of Engineering, in Coimbatore, Raghavi Suresh of Jain University in Bangalore, explain how they have modelled and simulated just such a system using an application known as iFogSim. Fog computing, their model suggests, is more efficient and more secure than a cloud computing approach to computing infrastructure for urban video surveillance.

The team explains that smart video surveillance systems must store video sequences and metadata associated with a place and the events that occur in that place. While cloud computing offers the remote and putatively distributed tools for such a task, fog computing, which is an extension of cloud computing, makes this still more efficient. The cloud computing paradigm offers agility, resource pooling and sharing. The fog paradigm utilizes resources on the edge of the system rather than reverting to a centralized cloud cluster. This means that delay, or latency, issues often associated with the cloud environment, are avoided by having some of the processing and storage handled at the edges of the architecture closer to the end-users, in other words.

Prakash, P., Suresh, R. and Kumar PN, D. (2019) ‘Smart city video surveillance using fog computing’, Int. J. Enterprise Network Management, Vol. 10, Nos. 3/4, pp.389–399.

29 October 2019

Research pick: Cooking the books, at home - "Could financial trouble be avoided by cooking at home? An analysis of checking account records"

It seems obvious in retrospect, but researchers in the USA have pinned down the finances to show that families in debt that cook for themselves at home rather than regularly buying fast-food or dining in restaurants could, if they wished to, pay back their short-term, “payday” loans much quicker and perhaps pull themselves out of a cycle of borrowing that often spirals out of control for many people.

Writing in the International Journal of Services, Economics and Management, the team points out that the pricing of fast food and the social implications of the payday loan industry have been investigated individually, but the new study looks at the implications of regular fast food consumption and the cycle of debt. Franziska Willenbuecher of the Center for Public Partnerships and Research, Achievement and Assessment Institute, at the University of Kansas, in Lawrence, together with Marc Anthony Fusaro of the School of Business at Emporia State University, also in Kansas, found no direct statistical correlation between food spending and loan amounts, perhaps suggesting that people do not borrow to buy fast food. However, they did find that households could have saved on average more than 36% of the average debt had they not bought fast food nor eaten restaurant meals for about a month.

The team also showed from their data that almost one in four households could have saved close to a third or more while almost 1 in ten could have saved 70% or more of their loan amount if they had cooked at home.

“The findings of this research demonstrate that fast food, and food spending in general, are part of a larger spending pattern that could best be addressed through financial literacy curricula and public policy in the area of payday loans,” the team writes. The ultimate goal of the research is to determine what leads people to borrow and how the amounts can be reduced if not eliminated. The study represents the first step in revealing the reasons that lower-income households turn to payday loans.

Willenbuecher, F. and Fusaro, M.A. (2019) ‘Could financial trouble be avoided by cooking at home? An analysis of checking account records’, Int. J. Services, Economics and Management, Vol. 10, No. 3, pp.195–207.

28 October 2019

Special issue published: "Creativity Management and Engineering"

International Journal of Manufacturing Technology and Management 33(5) 2019

  • The fuzzy front end of manufacturing technology development
  • Creating and sharing knowledge during the unfolding of innovation streams: a social network perspective
  • Modelling and analysis of supply chain risks in leather industry
  • Advantageous and disadvantageous inequality fairness concerns: the impact on the single-vendor single-buyer production-inventory system
Additional paper
  • A review on droplet deposition manufacturing - a rapid prototyping technique

Special issue published: "Information Processing and Control Technologies"

International Journal of Computer Applications in Technology 61(4) 2019

  • Rapid freshness prediction of crab based on a portable electronic nose system
  • Low-frequency structure-borne noise refinement based on rigid-flexible coupling model of powertrain mounting system
  • Analysis of an approach to reducing drops of secondary user on primary user emulation attack
  • Broad learning system for human activity recognition using sensor data
  • An adaptive multi-threshold segmentation algorithm for complex images under unstable imaging environment
  • Multiple cell tracking by generalised labelled multi-Bernoulli filter
  • Multi-threading parallel reinforcement learning
  • A new topology and power control of grid-connected photovoltaic array
  • A model for target acquisition and edge detection under complex scenes
  • Development of shipbuilding safety information monitoring and management system
  • Automatic selection of lexical features for detecting Alzheimer's disease using bag-of-words model and genetic algorithm
  • An operation sequence-based temporal multilayer networks model for production process in flexible manufacturing systems
  • Crowd counting via scale-adaptive convolutional neural network in extremely dense crowd images
  • Design of a new type of float flowmeter and remote monitoring system based on ARM microcontroller
  • Research on robot location based on an improved method of map feature matching

25 October 2019

New Editor for International Journal of Multivariate Data Analysis

Associate Prof. Pietro Amenta from the University of Sannio in Italy has been appointed to take over editorship of the International Journal of Multivariate Data Analysis.

New Editors for International Journal of Technoentrepreneurship

Prof. Hermenegildo Gil Gómez from Universidad Politécnica de Valencia in Spain has been appointed as the new Editor in Chief of the International Journal of Technoentrepreneurship. He will be joined by a new Executive Editor, Prof. Domingo Enrique Ribeiro-Soriano of Universitat de València.

Research pick: What’s GOOSE for the good - "GOOSE: goal oriented orchestration for smart environments"

The idea of ubiquitous computing has been with us for decades, but with the advent of endless mobile devices, the internet of things, and other such technology, we are on the verge of living in a world of smart environments that can enhance and make more efficient many aspects of our working lives as well as our social and family lives.

Researchers from Italy, writing in the aptly titled International Journal of Ad Hoc and Ubiquitous Computing, explain that for ubiquitous computing to work well for everyone its design and implementation have to take into account the needs and wants of different types of user. “Connecting objects to the internet and making them accessible from remote is not sufficient to make an environment ‘smart’ since such ecosystems should also be able to enable context-sensitive actions along with management of the interaction between objects and users,” they explain.

As such, the team is now proposing GOOSE – goal-oriented orchestration for smart environments. This platform, the team from the University of Catania and Tim Jol Wave explains, aims to interpret the goals of users, whether technologically expert or novices, as expressed in natural language in order to generate, select, and safely enforce a set of plans to be executed to fulfill those goals as well as focusing taking into account the bigger picture in the smart environment. In other words, “The architecture defined in this paper enables cooperative interactions between objects in a smart space in order to achieve goals expressed by users,” the team writes. Critically, the platform is as far as is possible independent in its structure of any particular technology, hardware, or software.

Catania, V., La Delfa, G.C., Monteleone, S., Patti, D., Ventura, D. and La Torre, G. (2019) ‘GOOSE: goal oriented orchestration for smart environments’, Int. J. Ad Hoc and Ubiquitous Computing, Vol. 32, No. 3, pp.159–170.

24 October 2019

Research pick: Predicting pollution with internet of things

Recent research suggests that heart attacks, cerebral stroke, and asthma attacks all rise with increasing air pollution in our cities, and of course the wider problems for the environment and human, animal, and plant life are becoming better understood with each study. Now, science published in the International Journal of Computational Intelligence Studies suggests that big data from Internet of Things devices might be useful in predicting air pollution incidents. Knowing in advance when problems might arise could offer some hope of ameliorating the detrimental effects or at the very least providing vulnerable people with advance warning of potential threats to their health.

The study, written by Safae Sossi Alaoui, Brahim Aksasse, and Yousef Farhaoui of the Department of Computer Science at Moulay Ismail University in Errachidia, Morocco, offers hope of predicting rising levels of some of the most serious polluting compounds that are ubiquitous in the environment but fluctuate wildly depending on human activity, namely nitrogen oxides, sulfur dioxide, carbon monoxide, and ozone.

There are millions, if not billions of connected devices that we might put under the umbrella term of the Internet of Things, IoT, these include the ever-present smart phone, roadside pollution monitors, embedded sensors, actuators, and even wearable devices that can all collect and exchange different types of data.

The team has worked with a US pollution dataset and used Spark technology on the Databricks platform to build an accurate model that can make good predictions about air quality. This could be used to help improve our understanding of the negative effects of air pollution on our lives and perhaps help focus efforts to prevent, control, and reduce pollution in a more timely manner than ever before.

Sossi Alaoui, S., Aksasse, B. and Farhaoui, Y. (2019) ‘Air pollution prediction through internet of things technology and big data analytics’, Int. J. Computational Intelligence Studies, Vol. 8, No. 3, pp.177–191.

23 October 2019

International Journal of Economic Policy in Emerging Economies to invite expanded papers from XIV International Conference "Russian Regions in the Focus of Changes" for potential publication

Extended versions of papers presented at the XIV International Conference "Russian Regions in the Focus of Changes" (14-16 November 2019, Ekaterinburg, Russia) will be invited for review and potential publication by the International Journal of Economic Policy in Emerging Economies.

International Journal of Internet of Things and Cyber-Assurance to invite expanded papers from International Virtual Conference on Artificial Intelligence for IoT 2019 for potential publication

Extended versions of papers presented at the International Virtual Conference on Artificial Intelligence for IoT 2019 (AIIoT-2019) (4 December 2019, VIT, Tamil Nadu, India) will be invited for review and potential publication by the International Journal of Internet of Things and Cyber-Assurance.

Research pick: Is the internet addicting? - "Measuring internet addiction in Europe-based knowledge societies: a case study of France"

The emergence of new technology always brings with it concerns about the effects it might have on users in terms of physical and mental health. The Internet, and specifically social media, is no different. One worry is that the endless novelty and pressure to engage with social media whether photo, video, or textual updates, is leading to some people using these tools throughout the day and even the night to the detriment of what one might refer to as normal “offline” life.

New research published in the International Journal of Business Information Systems, has focused on how internet addiction might be measured. Habib Ullah Khan of Qatar University in Doha, Qatar, has worked with Helmi Hammami of the Rennes School of Business, in France, to look at the behaviour of internet users in France. The study shows that what might be referred to as internet addiction has some correlation with the users’ age but the picture is rather vague.

It is difficult, after all, to determine whether frequent and/or prolonged use represents addiction as a healthcare worker might perceive it in the context of addiction to drugs of abuse, for instance. Moreover, the present study seems to conflict with the standard perspectives and concepts in several ways and the team suggests that there might now be a need to re-evaluate theories of addiction in the context of so-called internet addiction in order to better understand how and why such a problem might arise and to see how to differentiate more clearly between regular and frequent use of these tools and what might be perceived as problematic dependency.

Khan, H.U. and Hammami, H. (2019) ‘Measuring internet addiction in Europe-based knowledge societies: a case study of France’, Int. J. Business Information Systems, Vol. 32, No. 2, pp.199–218.

22 October 2019

Special issue published: "Big Data Innovation for Sustainable Intelligent Computing"

International Journal of Enterprise Network Management 10(3/4) 2019

  • Convergence of partial differential equation using fuzzy linear parabolic derivatives
  • A document similarity approach using grammatical linkages with graph databases
  • A customer-based supply chain network design
  • Proficient smart trash can management using internet of things and SDN architecture approach
  • Decision tree classification - N tier solution for preventing SQL injection attack on websites
  • P-tree oriented association rule mining of multiple data sources
  • Development of manufacturing - distribution plan considering quality cost
  • Chicken swarm optimisation based clustering of biomedical documents and health records to improve telemedicine applications
  • Inclusive strategic techno-economic framework to incorporate essential aspects of web mining for the perspective of business success
  • Effective transmission of critical parameters in heterogeneous wireless body area sensor networks
  • Extreme learning machine and K-means clustering for the improvement of link prediction in social networks using analytic hierarchy process
  • Smart city video surveillance using fog computing

Free open access article available: "Bilateral multi-issue negotiation of execution contexts by proactive document agents"

The following paper, "Bilateral multi-issue negotiation of execution contexts by proactive document agents" (International Journal of Ad Hoc and Ubiquitous Computing 32(3) 2019), is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Special issue published: "Honour-Based Hate Violence in Online Communities"

International Journal of Web Based Communities 15(4) 2019

  • A study of friend recommendations for gaming communities
  • Honour, hate and violence in social media: insights from India
  • The effect of e-retailers' innovations on shoppers' impulsiveness and addiction in web-based communities: the case of Amazon's Prime Now
  • In search of disruptive ideas: outlier detection techniques in crowdsourcing innovation platforms
  • Knowledge sharing in Asia Pacific via virtual community platform: a systematic review

Research pick: Engaging Facebook users - "User engagement in social media – empirical results from Facebook"

If social media technology is to evolve and improve its utility still further, then we need theory building and a better understanding of user engagement behaviour. These are fundamental to developing future approaches and effective organisational deployment, according to a paper published in the International Journal of Information Technology and Management.

Rupak Rauniar of the Department of Operations and Supply Chain Management at the University of Houston-Downtown, Texas, and colleagues Ronald Salazar of the University of Houston-Victoria, also in Texas, Greg Rawski and Donald Hudson of the University of Evansville, Indiana, USA, have undertaken a study of almost 400 users of one of the most familiar online social media systems, Facebook. They used the theory of reasoned action to study empirically predictors of intention to engage on the site.

“Our results suggest that perceived value, social presence, interactivity, and trustworthiness are positively related to the user’s attitude towards social media,” the team writes. “The research model shows promise for use by managers and organisations to predict and understand the usage of social media in a target population.”

The team points out that earlier studies looking at engagement involved conventional data processing of end-user computing environments and general e-commerce sites. The present study goes beyond such approaches and points the way forward for those hoping to extend engagement among users of social media sites and mobile applications, apps. The next step will be to carry out a similar study with other systems such as Twitter and Youtube to determine in what ways the conclusions from the present research might be generalized.

“As scientific research in the area of social media is still rare, we encourage practitioners and researchers to seek out new research questions in developing future theories in the area of social media,” the team concludes.

Rauniar, R., Rawski, G., Salazar, R.J. and Hudson, D. (2019) ‘User engagement in social media – empirical results from Facebook’, Int. J. Information Technology and Management, Vol. 18, No. 4, pp.362–388.

17 October 2019

Research pick: Your next favourite movie - "On the application of Bayesian credibility theory in movie rankings"

Can statistical and probability mathematics invented in the eighteenth century help fans choose their next favourite movie? A new study published in the International Journal Operational Research suggests that it might be so.

Palash Ranjan Das of the Department of Applied Mathematics at the University of Calcutta, in West Bengal, and Gopal Govindasamy of the Madras School of Economics, in Chennai, Tamil Nadu, India, explain how they have coupled movie choice with Bayesian credibility theory. Credibility theory is a branch of actuarial science devoted to quantify how unique a particular outcome will be when compared to an outcome deemed as typical. Thomas Bayes for whom the Bayes Theorem is named was an English statistician and philosopher who formulated a new approach to understanding chance and probability in the middle of the eighteenth century long before the arrival moving pictures and many decades before the notion of computer software that might assess the chances of a given movie suggestion being one a viewer might enjoy.

Bayesian credibility theory was initially developed to assess risk. However, the team in this current work has used it to rate and rank movies available from an online movie database based on user votes.

Das, P.R. and Govindasamy, G. (2019) ‘On the application of Bayesian credibility theory in movie rankings’, Int. J. Operational Research, Vol. 36, No. 2, pp.254–269.

Research pick: Asymmetrical profits - "IJRM-asymmetrical"

Digital technology and in particular the advent of online social media and the smartphone have facilitated the widespread use of consumer-to-consumer commerce and services. Online platforms such as eBay and Taobao allow individuals to access buying and selling marketplaces that simply did not exist for previous generations. Surprisingly, the sharing and servicing of accommodation and transport through the likes of Airbnb and Uber has also opened up a whole new world to the individual that was the commercial preserve of companies and corporations.

Writing in the International Journal of Revenue Management, Jagan Jacob of the Simon Business School, at the University of Rochester, in Rochester New York, USA suggests that this consumer-to-consumer provision and uptake of goods and services is just as asymmetrical as it ever was in terms of people on one side of the equation being the consumers and the other side the providers. This is perhaps intrinsic to any buying and selling scenario or any provision of services, whether a bed for the night or transport from A to B. As such, there are “challenges”.

The online systems do, of course, allow transactions to take place between users who are usually complete strangers in the wider context. There is, therefore, a pressing need for users and providers to somehow validate themselves but without the unwarranted sharing of personal and private information. Jacob’s paper suggests that a matching mechanism can maximise platform profit when users are heterogeneous with some more likely to be “more good” than others. However, there is a scenario whereby platform profit rises when it allows users with a higher probability of being “bad” to join too. This presumably cannot be to the benefit of the average good user or provider.

Jacob, J. (2019) ‘IJRM-asymmetrical’, Int. J. Revenue Management, Vol. 11, Nos. 1/2, pp.89–125.

16 October 2019

Free sample articles newly available from International Journal of Revenue Management

The following sample articles from the International Journal of Revenue Management are now available here for free:
  • Pricing of excess inventory on Groupon
  • A call for exploratory data analysis in revenue management forecasting: a case study of a small and independent hotel in The Netherlands
  • A reservation model for a single firm serving a market with strategic consumers
  • The fiscal provisions on existing legal frameworks governing the oil sector in the Republic of South Sudan

Special issue published: "Advanced Intelligence Paradigms in Machine Vision, Image Processing and Pattern Analysis"

International Journal of Advanced Intelligence Paradigms 14(1/2) 2019

  • Priority-based trimmed median filter for removal of high density salt and pepper noise
  • An efficient approach for handling degradation in character recognition
  • Pattern analysis and texture classification using finite state automata scheme
  • A novel method for super resolution image reconstruction
  • GLCM-based detection and classification of microaneurysm in diabetic retinopathy fundus images
  • Face recognition using combined binary particle swarm optimisation and hidden layer of artificial neural network
  • Iris recognition system based on a new combined feature extraction method
  • Enhanced method of using contourlet transform for medical image compression
  • Video-based assistive aid for blind people using object recognition in dissimilar frames
  • Brachiopods classification based on fusion of contour and region based descriptors
  • Identification of human activity pattern in controlled web environment: an adaptive framework

Research pick: Detecting malicious web pages - "Malicious web pages detection using feature selection techniques and machine learning"

There is a lot of malware on the internet, unwitting computer users might be enticed to visit web pages serving such malicious content and as such there is a pressing need to develop security systems that can quickly detect such malicious websites and protect users from having their personal and private data scraped, their logins and bank details assimilated, or their computer or mobile device hijacked for the nefarious purposes of third party criminals.

A new paper from Dharmaraj Patil and Jayantrao Patil the Department of Computer Engineering, at the R.C. Patel Institute of Technology, in Shirpur, Maharashtra, India, outlines a new approach to malicious web site detection based on feature selection methods and machine learning. The pair discusses details in the International Journal of High Performance Computing and Networking.

Their approach uses three modules: feature selection, training, and classification. To test the approach, the team used six feature selection methods and eight supervised machine learning classifiers and carried out experiments on the balanced binary dataset. With feature selection methods, they were able to detect malicious web content with an accuracy of between 94 and 99 percent and even above. The error rate was just 0.19 to 5.55%. They compared their results with eighteen well-known antivirus programs that also detect malicious web pages and found that the approach performed better than all of them.

Patil, D.R. and Patil, J.B. (2019) ‘Malicious web pages detection using feature selection techniques and machine learning’, Int. J. High Performance Computing and Networking, Vol. 14, No. 4, pp.473–488.

15 October 2019

Special issue published: "Creating and Delivering Value in a Contemporary World"

International Journal of Business and Globalisation 23(3) 2019

  • Volatility spillovers between European financial markets: evidence since the Brexit
  • Frequency of retail services, membership fees and real store shopping experience: analysing consumer preferences
  • The role of content analysis in the brand-consumer relationship: a systemic view
  • Is the sharing economy socially responsible? Case study examination about sharing economy companies with the help of stakeholder theory
Additional papers
  • Unemployment in Africa and entrepreneurial education: a critical assessment of entrepreneurship education programs in Sierra Leone
  • Impact of operating efficiency on firm value - a case of Indian banking sector and information technology sector
  • Manifestation of worldview in a metaphor
  • Predicting whistleblowing intentions through organisational commitment - insights from the Indian real estate sector

Free sample articles newly available from International Journal of Planning and Scheduling

The following sample articles from the International Journal of Planning and Scheduling are now available here for free:
  • Spreadsheet-based computations for the flowshop problem with synchronous transfers
  • Stochastic travelling salesperson and shortest route models with safety time
  • Lot streaming in the presence of learning
  • Harvest scheduling to reduce waste in agri-fresh produce supply chains: an artificial immune system-based solution approach
  • Using predetermined partial solutions for solving a heterogeneous truck fleet distribution model

Special issue published: "Developments in Additive Manufacturing"

International Journal of Materials and Product Technology 59(3) 2019

  • Investigations on the melt flow behaviour of aluminium filled ABS polymer composite for the extrusion-based additive manufacturing process
  • Synthesis, Analysis and 3D Printing of Flapping Mechanisms
  • Development of light weight multi-rotor UAV structures through synergistic application of design analysis and fused deposition modelling
  • Decision making methodology for the selection of 3D printer under fuzzy environment
  • Mechanical capabilities of semi-rigid thermoplastics ABS and PLA from 3D printing
  • The insertion of low-cost additive manufacturing into engineering teaching: a case in central Mexico

Research pick: Chilled electricity - "Aqua-ammonia-based thermally activated combined power and cooling system"

It should be possible to generate electricity and refrigerate simultaneously using low-grade waste heat from industry, according to research published in Progress in Industrial Ecology – An International Journal. The key is a system based on an ammonia-water mixture.

Mechanical engineer Kolar Deepak of Vardhaman College of Engineering, in Hyderabad, India, has proposed a system that exploits thermodynamic phenomena encapsulated in the Kalina cycle to generate power and cool a system at the same time using evaporation and condensation of an ammonia-water working fluid. The system does mechanical work, which can drive a dynamo type device to generate electricity, while the refrigeration effect is produced by the working fluid from the turbine exit.

Deepak’s computations suggest a thermal efficiency of almost 20 percent at an operating temperature of 135 degrees Celsius, which is the sort of temperature for “waste” heat streams from industrial plants and gas turbine exhaust, as well as municipal incinerators, or renewable energy sources, including geothermal brine.

Deepak, K. (2019) ‘Aqua-ammonia-based thermally activated combined power and cooling system’, Progress in Industrial Ecology – An International Journal, Vol. 13, No. 4, pp.332–341.

11 October 2019

New Editor for International Journal of Reasoning-based Intelligent Systems

Prof. Jair Minoro Abe from Paulista University in Brazil has been appointed to take over editorship of the International Journal of Reasoning-based Intelligent Systems.

Research pick: Plugging the brain drain - "The education policy challenge to the brain drain problem"

In a world of growing educational and professional mobility, there is an urgent need, from an individual nation’s perspective to reduce the potentially harmful effects of what is commonly referred to as the “brain drain”. The brain drain refers to the loss of one’s intellectuals and talented students and workers to another nation where they may benefit their adopted state, often never to return home to their place of birth.

Writing in the International Journal of Education Economics and Development, Akira Shimada of the Faculty of Economics at Nagasaki University, Japan, discusses the policy challenges facing education in attempting to plug the brain drain. His findings suggest that among the developed nations, subsidizing salary can often reduce the loss of talent to foreign shores. But, this is generally not an option for cash-strapped establishments in a developing nation where the disparity between available home salary and the remuneration potential of working in a developed nation is enormous.

One possible way to reduce the brain drain from developing nations and so retain the very talent that might allow the country to thrive is not to attempt to offer better working salaries but to improve education and the subsidizing thereof. Rewarding students for staying in their home nation to work could be implemented effectively whereas attempting to tax those who flow with the brain drain is largely untenable.

“I found that education subsidies are an effective way for a developed country to reduce brain drain for any degree of human capital transferability although they are not effective for a developing country for a certain degree of human capital transferability,” Shimada concludes.

Shimada, A. (2019) ‘The education policy challenge to the brain drain problem’, Int. J. Education Economics and Development, Vol. 10, No. 4, pp.335–355.

10 October 2019

Special issue published: "International Economic Law in Times of Popular Distrust: Challenges and Responses"

International Journal of Public Law and Policy 6(3) 2019

  • Conceptualising the complexity-reducing role of societal trust in transnational economic regulation - towards an interdisciplinary research methodology
  • Effective, justifiable, necessary: the panel's assessment of Australia's tobacco plain packaging measures
  • Mind the compliance gap: managing trustworthy partnerships for sustainable development in the European Union's free trade agreements
  • Patent boxes and the erosion of trust in trade and in governance

International Journal of Entertainment Technology and Management to invite expanded papers from ICSIMAT Conference for potential publication

Extended versions of papers presented at the ICSIMAT Conference (26-30 September 2020, Kefallonia–Ionian Islands, Greece) will be invited for review and potential publication by the International Journal of Entertainment Technology and Management.

Special issue published: "Advances in Renewable Energy"

International Journal of Renewable Energy Technology 10(4) 2019

  • Investigation of the efficiency of a solar dryer with thermal storage by rock salt and by pebble bed
  • The effect on the efficiency of the photovoltaic panel used for the charging of mobile phones of the solar radiation in Elazig, Turkey
  • Improving photovoltaic panel performance using a flipping technique - analysis and feasibility study
  • The impacts of the geographical location on the performance of PV system - Skikda in Algeria and Atbara in Sudan: case study
  • Development of a 2D numerical transient model to study geothermal coaxial borehole field heat exchangers

Research pick: "Parallel PageRank algorithm quicker to spot spam"

Nilay Khare and Hema Dubey of the Maulana Azad National Institute of Technology, in Bhopal, India, discuss how Google’s “PageRank” system can be used to detect spam web pages. That is pages created for nefarious purposes that attempt to gain a higher position in the search engine results pages (SERPs) through the false representation of their value and relevance to the person carrying out a search.

PageRank was developed by Google’s founders Larry Page and Sergei Brin back in 1996 at Stanford University, building on the foundations of other ranking algorithms that had been developed through the 1970s and onwards. PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. The underlying assumption is that more important websites are likely to receive more links from other websites.

Of course, the notion of “quality”, good or bad, is rather ephemeral and so over the years since the rise of Google, there is an ongoing struggle between webmasters who would wish their sites to be high up in the SERPs and so more visible and Google which endeavours to preclude spammy tactics that might game its system and allow webmasters of lower quality sites to achieve unwarranted high status in the ranks.

Khare and Dubey have developed an efficient and faster parallel PageRank algorithm that can harness the power of a computer’s graphics processing units (GPUs). Their results show a speed enhancement in calculating PageRank and so finding spam pages of up to 1.7 times that of the conventional parallel PageRank algorithm. The team even suggests in its conclusion that their approach is “immune” to spammy websites.

Khare, N. and Dubey, H. (2019) ‘Fast parallel PageRank technique for detecting spam web pages’, Int. J. Data Mining, Modelling and Management, Vol. 11, No. 4, pp.350–365

9 October 2019

Special issue published: "Cloud Computing, Big Data and Data Science"

International Journal of Internet Technology and Secured Transactions 9(4) 2019

  • A scalable fine-grained analytic model for container cloud data centres
  • Deadline-credit aware heuristic for dynamic resource provisioning in virtualised cloud environment
  • Financial default payment predictions using a hybrid of simulated annealing heuristics and extreme gradient boosting machines
  • Agile polymorphic software-defined fog computing platform for mobile wireless controllers and sensors
  • Outlier detection techniques for big data streams: focus on cyber security
  • Improving cloud computing services indexing based on BCloud-tree with users preferences
  • Autonomic resource management framework for virtualised environments
  • An integrated approach for network traffic analysis using unsupervised clustering and supervised classification
  • Response time-based resource allocation according to service level agreements in cloud computing

Special issue published: "Soft Operations Research Methods for Complex Systems"

International Journal of System of Systems Engineering 9(3) 2019

  • Serious gaming: implications for resilience governance of critical infrastructure
  • A complex structure representation of the US critical infrastructure protection program based on the Zachman framework
  • Categorising and clustering knowledge in fuzzy cognitive maps
  • Using rich pictures outside of soft systems methodology: a case study analysis
  • Systemic analysis of a drug trafficking mess

Special issue published: "Migration and Diaspora Entrepreneurship: Tackling the Heterogeneity"

International Journal of Entrepreneurship and Innovation Management 23(6) 2019

  • Transnational entrepreneurship: a systematic review of the literature
  • Entrepreneurship and economic integration of immigrants: a critical review of literature
  • The impact of institutions and cognition on context: a case study approach in international entrepreneurship
  • Exploring the role of context in motivating entrepreneurial behaviours: the motivations of migrant entrepreneurs in the Republic of Ireland and Northern Ireland
  • The role of social media in the collaboration, interaction, co-creation and co-delivery of a social venture in an uncertain conflict environment
  • Motivations and barriers to crowdlending as a tool for diasporic entrepreneurial finance

Research pick: Student retention intention - "Does social media website really matter in enhancing student’s retention intention? An application of Stimulus–Organism–Response framework"

Social media and student retention – Researchers in Egypt have investigated whether or not online social media can enhance student retention and reduce the dropout rate. Writing in the International Journal of Management in Education, Rania Mostafa of the Faculty of Commerce at Damanhour University, explains how she has used a Stimulus–Organism–Response framework to investigate.

Mostafa quotes earlier research that suggests that there is fierce competition among universities worldwide to differentiate themselves and to boost their standing in the educational “marketplace”. As such, there is pressure to retain students and reduce the number that drops out of a particular course. It is, she points out much more expensive to recruit a student than to retain one. Universities now use all “touch points” including social media to engage students and to enhance information sharing and self-expression which in turn can improve what the higher education establishment can offer students and so boost morale and reduce apathy and thus keep students on track.

Her results indicate that information quality, privacy and security, and virtual interactivity influence perceived value in the context of the establishment’s social media. However, student self-efficacy does not seem to moderate this perceive value. In other words, higher education establishments must ensure that their social media sites offer timely, accurate, relevant, and engaging information for their students and to evolve with student intentions.

Mostafa, R.B. (2019) ‘Does social media website really matter in enhancing student’s retention intention? An application of Stimulus–Organism–Response framework’, Int. J. Management in Education, Vol. 13, No. 4, pp.397–416.

8 October 2019

Research pick: Keep it in the family - "The family firm as an arena for white-collar crime"

Family firms are as old as “Mom and Pop”. But, there can be problems within such organisations and, according to research published in the International Journal of Business Continuity and Risk Management, specific personal motives, organisational opportunities and deviant behaviour can lead to white-collar crime. Indeed, there are plenty of opportunities, the research suggests, for family members to defraud their own firm, and thus their fellow family members.

Petter Gottschalk and Cecilie Asting of the Department of Leadership and Organizational Behavior, at the BI Norwegian Business School, in Oslo, Norway, do not argue that white-collar crime is any more or less frequent in family firms than it is in “normal” companies. However, their evidence suggests that it can be easier for a family member within the organization to carry out subterfuge.

The pair offers several possible solutions to the problem of white-collar crime in the family firm. For instance, family members should not have voting rights and privileges that allow them to carry out actions without the usual checks and balances that would be in place in other types of company.

Moreover, there is also the obvious possibility of non-family members of the firm to defraud the business too, especially if remuneration and reward equity is lacking. The team suggests that non-family members of a family firm should expect fair pay and conditions and that they should be stimulated to identify with the business just as an employee of any other type of business might.

Gottschalk, P. and Asting, C. (2019) ‘The family firm as an arena for white-collar crime’, Int. J. Business Continuity and Risk Management, Vol. 9, No. 4, pp.283–297.

7 October 2019

Special issue published: "Business and Economy in the Changing World"

International Journal of Economics and Business Research 18(3) 2019

  • The influence of intellectual capital on earnings management through real activities manipulation in Indonesian manufacturing companies
  • Attitudinal ambivalence towards green products: an empirical study in an emerging market
  • TVET teachers' perceptions on competencies: an application of Malaysian human resource development practitioners competency model
  • The roles of employee work well-being on innovative work behaviour mediated by organisational commitment
  • Creating innovative work behaviour: the roles of self efficacy, leader competency, and friendly workplace
  • Social media and financial institutions in the Indian context
  • Exploration of the need analysis for technopreneurship scientific learning models in higher vocational education
  • Digital transformation: a transformational performance-based conceptual model through co-creation strategy and business model innovation in the Industry 4.0 in Indonesia
  • Role of freight and forwarding company in facilitating the export-import process in Kelantan Malaysia

Free open access article available: "An analysis of the semantic annotation task on the linked data cloud"

The following paper, "An analysis of the semantic annotation task on the linked data cloud" (International Journal of Metadata, Semantics and Ontologies 13(4) 2019) is freely available for download as an open access article.

It can be downloaded via the full-text link available here.

Special issue published: "Novel Algorithms, Emergent Approaches and Applications for Distributed Computing"

International Journal of Grid and Utility Computing 10(6) 2019

  • Cognitive workload management on globally interoperable network of clouds
  • Towards autonomous creation of service chains on cloud markets
  • Cache replication for information-centric networks through programmable networks
  • Improving the MXFT scheduling algorithm for a cloud computing context
  • Model-based deployment of secure multi-cloud applications
Additional papers
  • Resource auto-scaling for SQL-like queries in the cloud based on parallel reinforcement learning
  • Data analysis of CSI 800 industry index by using factor analysis model
  • Don't lose the point, check it: Is your cloud application using the right strategy?
  • A cloud-based approach to dynamically manage service contracts for local public transportation
  • Towards to virtual infrastructure allocation on multiple IaaS providers with survivability and reliability requirements

4 October 2019

International Journal of Nonlinear Dynamics and Control to invite expanded papers from Congreso Nacional de Control Automático for potential publication

Extended versions of papers presented at the Congreso Nacional de Control Automático (CNCA) (23-25 October 2019, Puebla, Mexico) will be invited for review and potential publication by the International Journal of Nonlinear Dynamics and Control.

Special issue published: "Big Data and Data Science in Educational Research"

International Journal of Continuing Engineering Education and Life-Long Learning 29(4) 2019

  • Design of multimedia engineering teaching system based on internet of things technology
  • Modelling and analysis of innovative path of English teaching mode under the background of big data
  • Analysis of optimisation method for online education data mining based on big data assessment technology
  • Educational resource information sharing algorithm based on big data association mining and quasi-linear regression analysis
  • Online course learning outcome evaluation method based on big data analysis
  • Modelling and analysis of the influence of affective factors on students' learning efficiency improvement based on big data
  • Extended query model for MOOC education resource metadata based on big data
  • Research on optimisation of MOOC education model based on participatory visual teaching technology

Special issue published: "Sliding Mode Control and its Engineering Applications"

International Journal of Automation and Control 13(6) 2019

  • A memristor-based system with hidden hyperchaotic attractors, its circuit design, synchronisation via integral sliding mode control and an application to voice encryption
  • Adaptive terminal sliding mode control of high-order nonlinear systems
  • Chaos control of a four-dimensional fundamental power system using pole placement-based proportional integral sliding mode control
  • Hybrid Petri network super twisting sliding mode control of wind turbine for maximum power point tracking
  • Super-twisting algorithm-based integral sliding mode control with composite nonlinear feedback control for magnetic levitation system
Additional papers
  • Hybrid intelligent controller design for an unstable electromagnetic levitation system: a fuzzy interpolative controller approach
  • Encoder-less field-oriented control of permanent magnet synchronous motor by using a full order adaptive state observer

Research pick: Driving into old age - "Ergonomic intervention in meeting the challenges of elderly drivers: identifying, prioritising and factorising the ergonomic attributes"

Worldwide the number of drivers over the age of 65 is increasing rapidly. As such, there is an urgency in the need to design vehicles that are ergonomically suited to this demographic to accommodate physical ailments and limitations that are usually not seen in younger people.

Research published in the International Journal of Vehicle Design, discusses the major ergonomic concerns of older drivers that might improve driving posture, improve attention, and decrease fatigue during driving. Ashish Dutta, A.K. Bhardwaj, and A.P.S. Rathore of the Malaviya National Institute of Technology, in Jaipur, India, have grouped ergonomic needs of older drivers into ten categories and then surveyed a number of such drivers. Three important factors emerged showing that concerns can be grouped into three areas: musculoskeletal factors, safety factors, and driver-vehicle interface factors.

Various vehicle features emerge as becoming increasingly useful, or even essential, to older drivers who want to continue to use their vehicles for as long as possible: automatic transmission that precludes the need for a clutch and gearstick, braking assistance, parking sensors and camera, voice-assistant navigation, antiglare mirrors and windows, intuitive and easy to read controls and gauges, easy ingress and egress, adjustable, heated, and massaging seats, remote-controlled doors and boot (trunk), augmented reality (heads-up) display technology. Many such features are already present as options in high-end vehicles and it is anticipated that such options will become ubiquitous as the market for older drivers matures. Of course, ever-present, is a future of self-driving vehicles that will preclude the need for many such features, but never the need for a comfortable seat.

Dutta, A., Bhardwaj, A.K. and Rathore, A.P.S. (2019) ‘Ergonomic intervention in meeting the challenges of elderly drivers: identifying, prioritising and factorising the ergonomic attributes’, Int. J. Vehicle Design, Vol. 79, Nos. 2/3, pp.168–189.

3 October 2019

Special issue published: "Cyber Manufacturing – Emerging Frontiers in Sensing, Modelling and Control"

International Journal of Rapid Manufacturing 8(4) 2019

  • Quality assurance in additive manufacturing of thermoplastic parts: predicting consolidation degree based on thermal profile
  • Data-driven calibration for infrared camera in additive manufacturing
  • Collaborative robot selection using analytical hierarchical process
  • Krill herd-based optimal neural network for analysing safety and quality performance at construction site
Additional papers
  • Experimental investigations on optimisation of parameters to produce W-TiC composites using powder metallurgy route
  • Analysis of mechanical and micro structural property of aluminium metal matrix (LM25) composite hybrid with nano silicon carbide and nano alumina as reinforcement particles
  • Effect of optimised cutting constraints by AlCrN/epoxy coated components on surface roughness in CNC milling

Free sample articles newly available from International Journal of Innovation and Regional Development

The following sample articles from the International Journal of Innovation and Regional Development are now available here for free:
  • Do social conditions matter for emergence of innovative firms? The case of Kosovo
  • An alternative approach towards the knowledge production function on a regional level - applications for the USA and Russia
  • Behind the emergence of clusters: spinoffs and social ties. The case of an Italian industrial district
  • Can universities play an active role in fostering entrepreneurship in emerging ecosystems? A case study of the University of São Paulo

Special issue published: "International Conference on Applied Economics (ICOAE) 2016"

International Journal of Computational Economics and Econometrics 9(4) 2019

  • Reconsidering the relationship between foreign direct investment and growth
  • Causality among CO2 emissions, energy consumption and economic growth in Italy
  • The public sector wage premium puzzle
  • Depth, tightness and resiliency as market liquidity dimensions: evidence from the Polish stock market

Research pick: The business of opera - "Sing it out loud! The entrepreneurship of SME opera enterprises in Scandinavia"

A case study of small and medium-sized enterprises (SMEs) in the world of Scandinavian opera is discussed in the International Journal of Entrepreneurship and Small Business. Staffan Albinsson of the Department of Economy and Society at the University of Gothenburg in Sweden contributes new knowledge on the entrepreneurial facets of opera production based on an in-depth study of a dozen SMEs.

The research was based on structured questioning of initiators, artistic directors and general managers, the entrepreneurs involved in the operatic SMEs. Albinsson’s analysis of the survey results shows that opera entrepreneurs follow the normal entrepreneurial processes in their endeavours. However, the work also shows that along the way there is huge variation in the choices made which influence the outcome in terms of mainly regarding the choice of repertoire and its subsequent staging. Albinsson reports.

Intriguingly, while some of those involved in operatic SMEs had had some formal tuition in entrepreneurship or project management, for the most part, the skills necessary to run such an SME were simply acquired on the job, through trial-and-error experience. He offers seven main conclusions from the study
  1. Most of the entrepreneurs described both business- and self-centred ‘windows of opportunity’ for the initiation of their enterprises
  2. All of them were mission- or purpose-driven
  3. Objectives were commonly described as bringing opera to the people or in unusual and/or intimate settings
  4. The entrepreneurs had divergent approaches to achieving their goals
  5. When aspiration and result differed, the entrepreneurs saw “artistic innovation” as being important through the process regardless
  6. The enterprises were all not-for-profit ventures, but economic success and growth allowed them all to put on even more ambitious and attractive performances
  7. The opera entrepreneurs regardless of setting generally followed the patterns of conventional entrepreneurial business.
Albinsson, S. (2019) ‘Sing it out loud! The entrepreneurship of SME opera enterprises in Scandinavia’, Int. J. Entrepreneurship and Small Business, Vol. 37, No. 4, pp.449–471.

2 October 2019

Special issue published: "Innovative Engineering Education for Smarter World"

International Journal of Mobile Learning and Organisation 13(4) 2019

  • Primary school students' intrinsic motivation to plugged and unplugged approaches to develop computational thinking
  • Students' characteristics in programming learning and the design of a mobile learning platform
  • Designing instructional videos and classwork activities: teaching internet of things via flipped classroom
  • An analysis of undergraduate level flipped courses based on the seven principles: a case study