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  • When devices communicate they are usually configured to save power by first choosing an appropriate channel, connecting to each other, and then carrying out power control according to the quality of service (QoS) requirements of each device. However, after they have connected the power requirements of each device have usually dropped or at the very least change and so they are essentially not optimised for efficiency. Research published in the International Journal of Ad Hoc and Ubiquitous Computing shows how channel and power reallocations can be performed over several iterations until transmission power drops below a threshold to reduce overall power consumption.

    Chih-Shun Hsu of the Department of Information Management at Shih Hsin University, in Taipei, Taiwan, discusses the trade-off among transmission power, throughput, and computation costs based on extensive simulations. He suggests that his simulation results justify the energy efficiency of the proposed refining schemes. The scheme may well allow 5G systems to run more effectively as part of the infrastructure of the 5G network will be to utilise unlicensed bandwidth between devices rather than carrying all packets of information as would be normal across the licensed cellular network.

    Three power refining protocols are proposed in the paper: refining scheme with power control (RPC), the refining scheme with channel reallocation (RCR), and the refining scheme hybrid channel reallocation and power control (RCRPC). "All the three refining schemes can greatly reduce the total transmission power and enhance the transmission power efficiency of the scheme with no refining phase," Hsu explains. He adds that of the three refining schemes, the RPC scheme can achieve the highest total throughput with the lowest computation time, the RCR scheme can achieve the lowest total transmission power with the highest computation time, and the RCRPC scheme can achieve a balanced result such that the total throughput of the RCRPC scheme is slightly lower than that of the RPC scheme and the total transmission power is slightly higher than that of the RCR scheme."

    Hsu, C-S. (2020) 'Refining channel and power allocation for green device-to-device communications', Int. J. Ad Hoc and Ubiquitous Computing, Vol. 34, No. 1, pp.11–24.
    DOI: 10.1504/IJAHUC.2020.107502

  • Humanity is creating huge amounts of data every day, billions of emails and social media updates, new websites, documents, images, and scientific and commercial big data amounting to petabytes of storage needs and beyond. It is well recognised that nucleic acids, the RNA and DNA that encode the proteins needed to build living things are seemingly quite efficient in storing information and so taking inspiration from this realm, a team from India writes in the International Journal of Nano and Biomaterials how extended nucleic acid memory (NAM) might be the future of data storage technology.

    By comparison, a computer hard disk has an information storage capacity of 10 to the 13 bits of data per cubic centimetre, that's about 1.25 terabytes. NAM has the potential to store a million times that amount in the same volume, 1,250,000 terabytes, or 1250 petabytes, 1.25 exabytes. If we consider the information contained in the "big four" of the internet – Google, Amazon, Microsoft, and Facebook – that is the sum of all the data they have storable in a single cubic centimetre of NAM.

    Saptarshi Biswas of the Department of Computer Science and Engineering, at the Meghnad Saha Institute of Technology, in Kolkata, India, and colleagues Subhrapratim Nath, Jamuna Kanta Sing, and Subir Kumar Sarkar of Jadavpur University have now developed a new encoding approach allowing them to talk of extended NAM. Their method efficiently maps binary data on to a hybrid system of standard as well as using non-standard genetic nucleotides (in addition to the familiar G, A, T, and C (guanosine, adenosine, thymine, and cytosine, of DNA) to achieve a higher data capacity. The natural pairing up of the GATC bases in DNA is what gives us the double-helix and allows information to be encoded for the production of proteins whether in a fungus, a bacterium, a rose, or a human being.

    The team has added two new non-standard nucleotides, to give them additional pairings Ds-Px (thienylimidazopyridine and a nitropropynylpyrrole) and Im-Na (an imidazopyrimidine and a naphthyridine). These are very stable units to complement the pairings of A-T and C-G in a natural nucleic acid. They are also highly selective in such a molecule, specifically DNA. This could potentially take the hypothetical storage capacity of that single cubic centimetre of NAM to several times the 1.25 exabyte value mentioned above. Indeed, the team writes that extended RAM would have a capacity of more than 630 exabytes per gram of DNA, which assuming DNA has a density of 1.7 grams per cubic centimetre is more more than 370 exabytes per cubic centimetre of extended NAM. that's almost 300 times the total information held by the big four of the internet today.

    Biswas, S., Nath, S., Sing, J.K. and Sarkar, S.K. (2020) 'Extended nucleic acid memory as the future of data storage technology', Int. J. Nano and Biomaterials, Vol. 9, Nos. 1/2, pp.2–17.
    DOI: 10.1504/IJNBM.2020.107412

  • An analysis of case studies of research and development intensive companies published in the International Journal of Technology Management reveals that companies do not necessarily perceive R&D as a cost, per se. The international team reports and assesses the different strategies companies can employ to respond to growing research costs. Because on the bottom line, R&D is a cost.

    Their work shows that companies do see the expense of R&D as a secondary factor. "The main drivers of research investments are based on the expected value of innovations, risk and strategic competence development, and anticipating uncertainty concerning the kind of research that might be needed in the future," the team writes.

    Karl-Heinz Leitner of the Center for Innovation Systems and Policy, at the AIT Austrian Institute of Technology, in Vienna and the Center for Entrepreneurship and Applied Business Studies at the University of Graz, also in Austria, and colleagues in Italy, The Netherlands, and the USA, emphasise that while there is a large body of research literature on studying the different strategies that might be used to exploit R&D investments, researchers actually know little about the relative importance of controlling costs. Their analysis of case studies of European and US firms that are R&D intensive reveals much about how R&D costs are perceived.

    They found that "value creation" is the predominant emphasis of R&D managers and cost does not appear to be a key factor in directing and managing R&D nor in their response to growing R&D costs. However, there is no binary decision to be made between cost control and value creation. They conclude that it is important for R&D managers to develop dynamic capabilities and business models that can adjust the company's R&D agenda to the changing technological, market and regulatory environment.

    Leitner, K-H., Poti, B.M., Wintjes, R.J.M. and Youtie, J. (2020) 'How companies respond to growing research costs: cost control or value creation?', Int. J. Technology Management, Vol. 82, No. 1, pp.1–25.
    DOI: 10.1504/IJTM.2020.107407

  • Facial biometrics for security applications is an important modern technology. Unfortunately, there is the possibility of "spoofing" a person's face to the sensor or detection system through the use of a photograph or even video presented to the security system. A team from China has now developed a counter-measure that could preclude face spoofing and make such biometric security systems far less prone to abuse. The team reports details in the International Journal of Computational Science and Engineering.

    Fei Gu, Zhihua Xia, Jianwei Fei, Chengsheng Yuan, and Qiang Zhang of Nanjing University of Information Science and Technology, explain how anti-spoofing technology usually looks to illumination differences, colour differences, or textures differences to spot issues with the presented face to determine whether or not the face is a photo or video rather than a live human in front of the security camera. However, even these approaches are vulnerable.

    In order to make a stronger anti-spoofing system, the team has proposed a method based on various feature maps and convolution neural networks for photo and video replay attacks. They explain that facial contour and specularly reflected features are taken into account when verifying a face so that depth and width can be determined, aspects of a living face that are not present in a photograph. Their proof of principle shows remarkable performance against multiple datasets and shows that the method can defend not only photo attack, but also video replay attack with a very low error rate.

    Gu, F., Xia, Z., Fei, J., Yuan, C. and Zhang, Q. (2020) 'Face spoof detection using feature map superposition and CNN', Int. J. Computational Science and Engineering, Vol. 22, Nos. 2/3, pp.355–363.
    DOI: 10.1504/IJCSE.2020.107356

  • The rules surrounding information have changed with the ongoing development of the digital world. Information has become accessible to almost everyone around the world, any time of the day or night, at the touch of a mobile phone screen or the click of a mouse.

    Writing in the International Journal of Big Data Intelligence, a team from Italy, reiterates this point and points out that at this stage in the evolution of those rules there are now a handful of central hubs providing almost all of the information that the vast majority of the population accesses: the major search engines, such as Google and Baidu, the big social media networks, Facebook and Twitters, and a few other repositories, such as Wikipedia and their more local equivalents in Russia, China, and other parts of the world that have certain barriers to globalization.

    Massimo Marchior and Enrico Bonetti Vieno of the University of Padua, explain how a system like Wikipedia has many pros but also various cons. It has been enormously successful as a dynamic, online alternative to conventional encyclopedia. However, the distributed nature of its content, sources, and editors, also gives rise to some problems. Fundamentally, the team writes "everybody can contribute and so also manipulate information in a way that is practically invisible to the general public."

    They describe the "Negapedia" system, which is an online public service that offers a more complete picture of the underlying layers of Wikipedia. It involves big data analysis and the need to overcome information overload, but it also offers novel insights into the important issue of Wikipedia categorisation, analysing the problem of presenting general users with easy and meaningful category information. Negapedia can, the team reports, reveal the social turbulence that underlies much of the content and the editorial battles that take place, particularly surrounding controversial subjects, such as politics, religion, conspiracy theories, and activism and advocacy.

    An additional point of interest that emerges from this study is the connection between controversial information and the level of interest in that subject matter. "We found out that there is in fact correlation between topics of high interest to users and conflict, thus showing that controversy seems to be tightly linked with popularity." They add that perhaps one aspects drives the other. "To some extent, controversy (negativity) can be seen as a natural phenomenon arising from people interest," they add.

    Marchiori, M. and Vieno, E.B. (2020) 'To beat or not to beat: uncovering the world social battles with Wikipedia', Int. J. Big Data Intelligence, Vol. 7, No. 2, pp.110–125.
    DOI: 10.1504/IJBDI.2020.107377

  • The calcium mineral from which many shellfish, such as cockles, make their shells can be used to form nanoparticles. These nanoparticles can then be "loaded" with small drug molecules, such as anticancer drugs.

    Writing in the International Journal of Nanotechnology a team from Malaysia and Nigeria explains how nanoparticles made from the cockleshell material calcium carbonate aragonite can be used to carry the anticancer drug doxorubicin. These drug-loaded nanoparticles have been used to successfully treat dogs with solid tumours.

    Treating solid tumours is problematic in cancer therapy because the malignant mass is often inaccessible to conventional anticancer drugs. High doses are needed to attack the tumour, but this comes at a price in terms of side-effects, such as damage to the heart with doxorubicin, for instance. Finding ways to target the tumour with the drug more directly would mean a lower dose could be used and still have the same effect but without the cardiotoxicity.

    Cockle shell-derived calcium carbonate has been shown to have potential as a drug-delivery agent by using it to fabricate nanoparticles to carry the drug. The present team has now carried out a prospective single centre, non-blind open clinical trial of repeated doses of the nanocomposite on dogs with solid tumours in their bones over the course of fifteen weeks.

    The team reports no major adverse effects and success was seen in treating bone cancer in the dogs with great improvement in the quality of life of the animals.

    Danmaigoro, A., Selvarajah, G.T., Mohd Noor, M.H., Mahmud, R., Ahmed, H., Abubakar, M.Z. (2019) 'Targeted delivery of doxorubicin-loaded cockle shell-derived CaCO3 aragonite nanoparticles on dogs with solid tumours', Int.J.Nanotechnol., Vol 16, Nos. 11/12, pp. 730-749.
    DOI: 10.1504/IJNT.2019.107365

  • Can direct advertising work for leading brands in an emerging market such as India. The question is answered with respect to the marketing of honey in the International Journal of Comparative Management.

    R.K. Srivastava of the University of Mumbai and his team have measured the impact of direct comparative advertisements in eastern culture for honey, a low-involvement product (compared to something like a readymeal). The study used the Elaboration Likelihood Model to explain why Patanjali brand honey has been so much more successful than others and how religious belief and gender affect buying behaviour.

    The paper explains that when a product or a brand is contrasted with another brand in an advertisement to show the other brand to be inferior, this is commonly referred to as comparative advertising. Of course, the advertisers tread a thin line between promoting their product as superior and defaming the rival manufacturers. Nevertheless, comparative advertising in the US has been shown to be more effective than standard advertisements in generating attention, message processing, brand awareness, favourable sponsor brand attitudes, and purchase intentions.

    Of course, it is important for companies to know whether that relative success might apply in other markets, where gender, religion, class, and other factors may still play a potent role in nudging consumers to a particular brand and not another. Fundamentally, if comparative advertising is shown to be effective, then it might open market inroads for challenger brands in a marketplace essentially monopolised by the bigger players.

    Having demonstrated that gender and religion can affect perception of honey brands, the team hopes to now extend their study to other demographic factors such as income, ethnicity, education, occupation, body weight, health condition, and habits and to other commodities.

    Srivastava, R.K. (2020) 'Will direct comparative advertising works for a leading brand? A study of the honey market', Int. J. Comparative Management, Vol. 3, Nos. 1/2, pp.125–141.
    DOI: 10.1504/IJCM.2020.107338

  • Christina Öberg of the School of Business at Örebro University in Sweden has investigated the "shape" of female representation in the corporate boardroom. Her findings suggest that representation may not be the issue per se when it comes to gender equality at the highest level in management but rather how well "nested" female board members are and the perception of their roles and rank on the board and the effect of being on more than one board and how those connections are interlocked.

    Writing in the International Journal of Comparative Management, Öberg has found that the power of women on boards varies with various different factors. Among those are the existence of few or many interlocks on the board, the number of representations held by the female board member, the fragmented or large network that the female board member is part of, and whether the network consists of direct or indirect links.

    Öberg points out that the gender diversity debate has led to a new focus on the question of female board representation. In some countries, this focus has led to welcome legislation. The important point is that for too long representation on corporate boards has not reflected society's gender composition nor looked to equality. This new work contributes to research on gender diversity by introducing relative power as an important concept related to interlocks on the board and to the shape of interlock networks. There are implications for ensuring that boards represent gender diversity and have equality and also for how directors might benefit from this and be guided by such research in the appointment of board members.

    Öberg, C. (2020) 'The shape of female board representation', Int. J. Comparative Management, Vol. 3, Nos. 1/2, pp.53–72.
    DOI: 10.1504/IJCM.2020.107337

  • New research suggests that a different approach to modelling the spread of the novel coronavirus that causes Covid-19, SARS-CoV-2, could be beneficial for developing new strategies for coping with the ongoing global pandemic. Details are reported in the International Journal of Simulation and Process Modelling.

    Shan Bai of the Karlsruhe Institut für Technologie (KIT) in Germany has evaluated how well two approaches to epidemiological modelling – a system of first-order ordinary differential equations (ODEs) and spatial agent-based model (ABM) – work in the face of different interventions. She explains that specific intervention strategies are introduced and the effectiveness of the strategies can be assessed by comparing the results of the models with or without these strategies.

    It is now relatively well-known that a proportion of people carrying the virus might have mild symptoms or be apparently asymptomatic but nevertheless shed viral particles in their bodily fluids, specifically saliva and mucus from the respiratory tract. These particles may enter the respiratory tract of other people through various physical mechanisms, such as exposure to a sneeze or cough from the infected party, simply being in close proximity and breathing the same air or touching surfaces that on which infectious droplets have landed followed by transfer from hand to face and thus the eyes, nose or mouth.

    The joint mantras of stay socially distanced from other people, do not touch your face, and wash your hands thoroughly and frequently remain good advice in the face of this health crisis. Moreover, given the nature of Bai's analysis of the situation, she says that "It is thus very important to assess the potential for sustained transmission, taking such infected people into account, in order to thoroughly understand the transmission dynamics of the infection and evaluate the effectiveness of control measures." This is where solid epidemiological modelling comes into play especially as new knowledge about this emergent virus and the complex disease it causes is obtained.

    The spatial ABM integrates several new features to the epidemic models compared to the ODEs-based model, Bai adds. "The implementation of spatial ABM brings novel features to the epidemics modelling: new states being easily incorporated; the parameter illustrating the moving willingness of people; and sub-models for hospital beds to reflect demands of medical resources," Bai adds. The results suggest that the flexible nature of ABM make it a useful addition to the toolset of epidemic simulation models.

    Bai, S. (2020) 'Simulations of COVID-19 spread by spatial agent-based model and ordinary differential equations', Int. J. Simulation and Process Modelling, Vol. 15, No. 3, pp.268–277.
    DOI: 10.1504/IJSPM.2020.107334

  • Research published in the International Journal of Computational Science and Engineering, investigates how optimal routes might be calculated for emergency vehicles responding to a shout.

    Jiao Yao, Yaxuan Dai,and Yiling Ni of the University of Shanghai for Science and Technology, Jin Wang Changsha University of Science and Technology, both in China, and Jing Zhao of Delft University of Technology, in The Netherlands, look at this issue of queing traffic and how it impedes the movement of emergency vehicles.

    The team lists the various types of vehicle they are considering: ambulances, natural disaster rescue vehicles, fire trucks, police vehicles, engineering rescue vehicles, municipal repair vehicles, traffic accident vehicle rescue equipment, evacuation vehicles, and emergency rescue vehicles. They point out that drivers of these vehicles cannot judge the optimal route in real-time as a situation develops and normal and additional traffic moves around the road systems they are attempting to circumnavigate.

    The team has simulated three major situations that might unfold in an emergency situation and used a computer to devise a way to work out the more optimal routes that would allow the emergency vehicles to reach the scene quicker. In one situation, their approach gives a time saving of 22.2% but in another they can actually half the time in transit. They ultimately come to the conclusion the traffic lights used only in emergencies are essential to allow vehicles to breach the queues safely and reach the emergency in a timely manner.

    Yao, J., Dai, Y., Ni, Y., Wang, J. and Zhao, J. (2020) 'Deep characteristics analysis on travel time of emergency traffic', Int. J. Computational Science and Engineering, Vol. 22, No. 1, pp.162–169.
    DOI: 10.1504/IJCSE.2020.107271

News

New Editor for International Journal of International Journal of Organisational Design and Engineering

Prof. Ali Sher from Yorkville University in Canada has been appointed to take over editorship of the International Journal of International Journal of Organisational Design and Engineering.

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International Journal of Global Energy Issues to publish special issue with Sustaining Tomorrow 2020

International Journal of Global Energy Issues will publish a special issue on "Sustaining Tomorrow Globally". The special issue will be based on a selection of expanded papers that were to be presented at the Sustaining Tomorrow 2020 Symposium and Industry Summit. (The event was sadly cancelled due to the COVID-19 pandemic). The cancelled conference will be combined with the Mitigating Climate Change 2021 Symposium and Industry Summit, which is still set to go ahead at the University of Windsor, Canada, on 24-25 June, 2021.

New Editor for International Journal of Management Development

Associate Prof. Fabio Cassia from the University of Verona in Italy has been appointed to take over editorship of the International Journal of Management Development. He will be joined by its new Executive Editor, Assistant Prof. Francesca Magno of the Università degli Studi di Bergamo.

International Journal of Computer Aided Engineering and Technology invites special issue proposals

Dr. Yan Luo, Editor in Chief of the International Journal of Computer Aided Engineering and Technology, has released a call for special issue proposals for the journal. Details are available here.