10 February 2020
International Journal of Forensic Software Engineering to invite expanded papers from 3rd International Workshop on Blockchains and Smart Contracts workshop (BSC) for potential publication
Extended versions of papers presented at the 3rd International Workshop on Blockchains and Smart Contracts workshop (BSC) (6-8 July 2020, Paris, France) will be invited for review and potential publication by the International Journal of Forensic Software Engineering.
Free sample articles newly available from International Journal of Trade and Global Markets
The following sample articles from the International Journal of Trade and Global Markets are now available here for free:
- Formulating post placement empowerment of Indonesian migrant workers policy: What are the roles of stakeholders?
- Distributional effects of foreign direct investment on poverty: the case of Vietnam
- Institutional effects in development of regional innovational infrastructure
- Impediments to globalisation and financing of small exporting firms: evidence from Southwest Louisiana
Free sample articles newly available from International Journal of Dynamical Systems and Differential Equations
The following sample articles from the International Journal of Dynamical Systems and Differential Equations are now available here for free:
- On some attractors of a two-dimensional quadratic map
- Leader following speed synchronisation in multiple DC motor system using a hybrid controller
- Lie symmetry analysis and conservation laws of certain time fractional partial differential equations
- Behaviour of two-dimensional competitive system of nonlinear difference equations of higher order
- Unique solutions for new fractional differential equations with p-Laplacian and infinite-point boundary conditions
7 February 2020
New Editor for International Journal of Ultra Wideband Communications and Systems
Associate Prof. Yunfei Chen from the University of Warwick in the UK has been appointed to take over editorship of the International Journal of Ultra Wideband Communications and Systems.
Research pick: Making money on Youtube - "How do YouTubers make money? A lesson learned from the most subscribed YouTuber channels"
How do “Youtubers” make money? This is an important question for the modern aged posed in the latest issue of the International Journal Business Information Systems. Bo Han of the College of Business at Texas A&M University-Commerce, in Commerce, Texas, USA, offers an answer.
There might be several ways for someone who uploads video content to the site Youtube. Advertising revenue and the marketing of products, services, and digital resources are a couple. However, under the company’s current guidelines only Youtubers with more than a threshold number of subscribers will earn advertising revenues from advertisements displayed alongside or within their content and channel.
“YouTube has been a critical social media site for users to share their self-made videos such as ‘vlogs’, amateur performances, parodies, and funny ‘fail’ videos with the public,” Han explains; there are more than one billion active users and some 400 hours worth of content is uploaded every minute generating billions of video views every day.
Han’s analysis of the most popular Youtubers suggests that annual revenues are in line with the number of views received on a given channel, the after-view comment rate, and the attitude of viewers. Revenues tend to slide for older Youtubers, suggesting it is very much a youth phenomenon.
Han has some advice for those hoping to earn a living as a Youtuber:
“We expect our findings can inform entrepreneurial YouTubers that their monetisation model is strongly dependent on both their impact breadth and how well they utilise the acquired resources,” he says. “The traditional marketing strategy is critical (e.g., more views leading to more revenues), but it is also important for YouTubers to utilise the social media features offered by YouTube to deepen their impacts on the audience, in order to achieve the expected monetisation success.”
Han, B. (2020) ‘How do YouTubers make money? A lesson learned from the most subscribed YouTuber channels‘, Int. J. Business Information Systems, Vol. 33, No. 1, pp.132-143.
There might be several ways for someone who uploads video content to the site Youtube. Advertising revenue and the marketing of products, services, and digital resources are a couple. However, under the company’s current guidelines only Youtubers with more than a threshold number of subscribers will earn advertising revenues from advertisements displayed alongside or within their content and channel.
“YouTube has been a critical social media site for users to share their self-made videos such as ‘vlogs’, amateur performances, parodies, and funny ‘fail’ videos with the public,” Han explains; there are more than one billion active users and some 400 hours worth of content is uploaded every minute generating billions of video views every day.
Han’s analysis of the most popular Youtubers suggests that annual revenues are in line with the number of views received on a given channel, the after-view comment rate, and the attitude of viewers. Revenues tend to slide for older Youtubers, suggesting it is very much a youth phenomenon.
Han has some advice for those hoping to earn a living as a Youtuber:
“We expect our findings can inform entrepreneurial YouTubers that their monetisation model is strongly dependent on both their impact breadth and how well they utilise the acquired resources,” he says. “The traditional marketing strategy is critical (e.g., more views leading to more revenues), but it is also important for YouTubers to utilise the social media features offered by YouTube to deepen their impacts on the audience, in order to achieve the expected monetisation success.”
Han, B. (2020) ‘How do YouTubers make money? A lesson learned from the most subscribed YouTuber channels‘, Int. J. Business Information Systems, Vol. 33, No. 1, pp.132-143.
6 February 2020
Free sample articles newly available from International Journal of Technology, Policy and Management
The following sample articles from the International Journal of Technology, Policy and Management are now available here for free:
- Ensuring quality in ERP implementations through testing components: an ISM approach
- The mediating effect of the innovation process on the relationships among innovation components: an empirical study on Turkish companies
- An evaluation of status of technology push and demand pull practices for sustainable development in manufacturing industries
- Coevolution of technological capabilities and regulation in Indonesian herbal medicine sector
- Crowd funding dynamics for venture and innovation development
Free sample articles newly available from International Journal of Bioinformatics Research and Applications
The following sample articles from the International Journal of Bioinformatics Research and Applications are now available here for free:
- Dynamic background modelling using multi-swarm optimisation
- Classification of breast cancer based on thermal image using support vector machine
- Level 2 feature extraction for latent fingerprint enhancement and matching using type-2 intuitionistic fuzzy set
- Vision-based malaria parasite image analysis: a systematic review
First issue: International Journal of Intelligence and Sustainable Computing (free sample issue available)
There is a free download of the papers from this first issue.
Research pick: Crawling the invisible web genetically - "Genetic algorithm-based intelligent multiagent architecture for extracting information from hidden web databases"
The World-wide Web, WWW, or the web, has grown immensely since its academic and research inception in 1991 and its subsequent expansion into the public and commercial domains. Initially, it was a network of hyperlinked pages and other digital resources. Very early on, it became obvious that some resources were so vast that it would make more sense to generate the materials required by individual users dynamically rather than storing every single digital entity as a unique item.
Today, countless websites are dynamic, every unique visit draws information and data dynamically from a back-end database and presents it to the user on-demand. Whereas static pages can easily be spidered by search engines, database content that drives dynamic websites is inaccessible. Even as long ago as 2001 when there were already several terabytes of public, static web data, it was estimated that the “invisible web”, or “hidden web”, not to be confused with the “dark web”, was some 550 times bigger than the visible resources.
Writing in the International Journal of Business Intelligence and Data Mining, a team from India describes how they have developed a genetic algorithm-based intelligent multiagent architecture that can extract information from the invisible web. The tools could allow even materials that are purportedly off-limits to conventional search engines to be spidered, scraped, and catalogued for a wide range of applications.
D. Weslin of Bharathiar University and Joshva Devadas of Vellore Institute of Technology describe the details and benefits of their approach in the latest issue of the journal. “The experimental results show that the proposed architecture provides better precision and recall than the existing web crawlers,” the team writes.
Weslin, D. and Devadas, T.J. (2020) ‘Genetic algorithm-based intelligent multiagent architecture for extracting information from hidden web databases’, Int. J. Business Intelligence and Data Mining, Vol. 16, No. 2, pp.204–213.
Today, countless websites are dynamic, every unique visit draws information and data dynamically from a back-end database and presents it to the user on-demand. Whereas static pages can easily be spidered by search engines, database content that drives dynamic websites is inaccessible. Even as long ago as 2001 when there were already several terabytes of public, static web data, it was estimated that the “invisible web”, or “hidden web”, not to be confused with the “dark web”, was some 550 times bigger than the visible resources.
Writing in the International Journal of Business Intelligence and Data Mining, a team from India describes how they have developed a genetic algorithm-based intelligent multiagent architecture that can extract information from the invisible web. The tools could allow even materials that are purportedly off-limits to conventional search engines to be spidered, scraped, and catalogued for a wide range of applications.
D. Weslin of Bharathiar University and Joshva Devadas of Vellore Institute of Technology describe the details and benefits of their approach in the latest issue of the journal. “The experimental results show that the proposed architecture provides better precision and recall than the existing web crawlers,” the team writes.
Weslin, D. and Devadas, T.J. (2020) ‘Genetic algorithm-based intelligent multiagent architecture for extracting information from hidden web databases’, Int. J. Business Intelligence and Data Mining, Vol. 16, No. 2, pp.204–213.
5 February 2020
Free sample articles newly available from International Journal of Business Excellence
The following sample articles from the International Journal of Business Excellence are now available here for free:
- Factors influencing work engagement and its impact on task performance
- Understanding the connect between digitalisation, sustainability and performance of an organisation
- Does emotional stability mediates the relationship between self-disclosure, personality integration, and social adjustment?
- Lean Six Sigma approach: a strategy to enhance performance of first through time and scrap reduction in an automotive industry
- Technology and brand selection: the mediating effect of cognition in Indian retail
- Exploration of attributes influencing productivity in opencast mines
Special issue published: "Emerging South Asia in a Globalised World"
International Journal of Business and Globalisation 23(4) 2019
- India an emerging higher education hub for South Asian countries: globalisation and internationalisation essential keys for growth of South Asia
- A study on relationship between leadership style and conflict resolution strategy in sustainable India
- Has trade improved from SAPTA to SAFTA? Evidence from the gravity model
- Why India still fighting for first FDI receipt country?
- Internationalisation of SMEs: how does global mindset and network relationships impact in India
- Integration of South Asian stock market – a select study
- Recent advances in total factor productivity growth measurement in agriculture: a review of literature
Free sample articles newly available from International Journal of Power and Energy Conversion
The following sample articles from the International Journal of Power and Energy Conversion are now available here for free:
- Optimal placement of DSTATCOM, DG and their performance analysis in deregulated power system
- Simulation of different power methods for induction generator faults detection and diagnosis
- Impact of optimal location and sizing of distributed generation and automatic reclosers in distribution systems
- Improving the dynamic frequency regulation of a multisource power system considering GRC and dead band with TCSC and SMES
- A new model of self-excited induction generator to feed a single phase load with an application in lighting animal farm
- Comparative analysis of several linear controllers with developed feedback controllers for DSTATCOM
Research pick: Safely ageing in a smart home - "Sensor-based detection of abnormal events for elderly people using deep belief networks"
With an aging population, there is an increasing need for a smart home to be able to monitor health and behaviour with a view to allowing people to continue to live in their homes independently. Research published in the International Journal of Ad Hoc and Ubiquitous Computing shows how motion sensors, actuators, and surveillance systems can be used in different rooms in a home to monitor people are they carry out household chores, such as cooking and cleaning, and other activities, such as using the bathroom, watching television, partaking of hobbies, and sleeping.
Yo-Ping Huang of the Department of Electrical Engineering at the National Taipei University of Technology, in Taiwan, and colleagues suggest that the outputs from sensors and monitors can be fed to an algorithm trained to recognise normal behaviour and to flag issues when a person is unexpectedly immobilized or carrying out an unusual activity in a part of their home where such activities are not commonly undertaken. The system can then alert healthcare workers or family members that there may be a crisis underway and the elderly person can be contacted or emerging services sent to assist.
The team has simulated behaviour and tested the system and its results show that the proposed system outperforms support vector machines in terms of score and accuracy in identifying daily activities.
The researchers add that they will next integrate the system with voice recognition to allow the remote control of appliances used in daily life as well as making wireless and mobile devices connectable so that carers can be availed of potentially hazardous or life-threatening situations as they arise in the person’s home without the carer needing to be in the home continuously to look after the person.
Huang, Y-P., Basanta, H., Kuo, H-C. and Chiao, H-T. (2020) ‘Sensor-based detection of abnormal events for elderly people using deep belief networks’, Int. J. Ad Hoc and Ubiquitous Computing, Vol. 33, No. 1, pp.36–47.
Yo-Ping Huang of the Department of Electrical Engineering at the National Taipei University of Technology, in Taiwan, and colleagues suggest that the outputs from sensors and monitors can be fed to an algorithm trained to recognise normal behaviour and to flag issues when a person is unexpectedly immobilized or carrying out an unusual activity in a part of their home where such activities are not commonly undertaken. The system can then alert healthcare workers or family members that there may be a crisis underway and the elderly person can be contacted or emerging services sent to assist.
The team has simulated behaviour and tested the system and its results show that the proposed system outperforms support vector machines in terms of score and accuracy in identifying daily activities.
The researchers add that they will next integrate the system with voice recognition to allow the remote control of appliances used in daily life as well as making wireless and mobile devices connectable so that carers can be availed of potentially hazardous or life-threatening situations as they arise in the person’s home without the carer needing to be in the home continuously to look after the person.
Huang, Y-P., Basanta, H., Kuo, H-C. and Chiao, H-T. (2020) ‘Sensor-based detection of abnormal events for elderly people using deep belief networks’, Int. J. Ad Hoc and Ubiquitous Computing, Vol. 33, No. 1, pp.36–47.
4 February 2020
Free sample articles newly available from International Journal of Materials Engineering Innovation
The following sample articles from the International Journal of Materials Engineering Innovation are now available here for free:
- Experimental study of single point incremental forming with dummy sheet
- Experimental investigation of geometric accuracy in single point incremental forming process of an aluminium alloy
- Deformation behaviour of A356, Al-11Si-2.5Cu-0.6Fe, and Al-18Si-2.5Cu-0.6Fe alloys forged under different processing conditions
- Prediction of life of piercing punches using artificial neural network and adaptive neuro fuzzy inference systems
- Optimisation and modelling of thinning and geometric accuracy in incremental sheet forming combined with stretch forming
Free sample articles newly available from International Journal of Business Information Systems
The following sample articles from the International Journal of Business Information Systems are now available here for free:
- A conceptual framework for business intelligence critical success factors
- A semantic matching engine for web service composition
- Sophisticated strategic information systems and strategic performance of Islamic banks: a review of literature
- Managing digital infrastructures: negotiating control and drift in service provisioning
- Barriers to online shopping
- Implicit feature identification for opinion mining
- Selecting and tuning the optimal query form of different SQL commands
First issue: International Journal of Intelligent Internet of Things Computing (free sample issue available)
There is a free download of the papers from this first issue.
Research pick: Recommending children’s books - "CBRec: a book recommendation system for children using the matrix factorisation and content-based filtering approaches"
Yiu-Kai Ng of the Computer Science Department at Brigham Young University, in Provo, Utah, USA, suggests that promoting good reading habits in children is critical to their learning and development as mature members of a thriving society. Writing in the International Journal of Business Intelligence and Data Mining, he also suggests that we need novel ways to recommend reading matter to children that is not based simply on popularity.
Given the prevalence of the internet and mobile phone apps, there is surely a way to extract reading habits and create a so-called recommendation engine based on wider data points than simple popularity. The development of such a tool would allow customisation and personalisation to come to the fore and at the same time avoid what one might perceive as a reading “echo chamber” based on a few popular authors. This is especially important in a multicultural world where exposure to diversity is increasingly important to help us combat bigotry and prejudice and to create a more accepting world as our children grow.
Ng and colleagues have now developed “CBRec”. This is a book recommendation system for children that uses matrix factorisation and content-based filtering approaches to offer suggestions of what the child should read next with greater potential for their enjoying and learning from those books. The new system avoids the need for any kind of social “tags” that might be gleaned from adult users of online social networking sites but at the same time also considers age and reading level.
Given that there are tens of thousands of books for children published every year, this tool could become a significant part of engaging young readers with a wider authorship than the bestsellers lists might otherwise offer them.
Ng, Y-K. (2020) ‘CBRec: a book recommendation system for children using the matrix factorisation and content-based filtering approaches‘, Int. J. Business Intelligence and Data Mining, Vol. 16, No. 2, pp.129-149.
Given the prevalence of the internet and mobile phone apps, there is surely a way to extract reading habits and create a so-called recommendation engine based on wider data points than simple popularity. The development of such a tool would allow customisation and personalisation to come to the fore and at the same time avoid what one might perceive as a reading “echo chamber” based on a few popular authors. This is especially important in a multicultural world where exposure to diversity is increasingly important to help us combat bigotry and prejudice and to create a more accepting world as our children grow.
Ng and colleagues have now developed “CBRec”. This is a book recommendation system for children that uses matrix factorisation and content-based filtering approaches to offer suggestions of what the child should read next with greater potential for their enjoying and learning from those books. The new system avoids the need for any kind of social “tags” that might be gleaned from adult users of online social networking sites but at the same time also considers age and reading level.
Given that there are tens of thousands of books for children published every year, this tool could become a significant part of engaging young readers with a wider authorship than the bestsellers lists might otherwise offer them.
Ng, Y-K. (2020) ‘CBRec: a book recommendation system for children using the matrix factorisation and content-based filtering approaches‘, Int. J. Business Intelligence and Data Mining, Vol. 16, No. 2, pp.129-149.
3 February 2020
International Journal of Public Sector Performance Management to invite expanded papers from 3rd International Conference on Recent Trends in Business and Entrepreneurial Ventures for potential publication
Extended versions of papers presented at the 3rd International Conference on Recent Trends in Business and Entrepreneurial Ventures (ICRTBEV 2020) (18-19 March 2020, Kuala Lumpur, Malaysia) will be invited for review and potential publication by the International Journal of Public Sector Performance Management.
Free sample articles newly available from International Journal of Wireless and Mobile Computing
The following sample articles from the International Journal of Wireless and Mobile Computing are now available here for free:
- Novel localisation algorithms in wireless sensor networks
- Mathematical modelling and analysis of hierarchical modulation in AWGN and Rayleigh channel
- Corrugated fractal monopole antenna with enhanced bandwidth for ultrawideband applications
- Detection of malicious domain names based on an improved hidden Markov model
- Intelligent evaluation and computation of food packaging culture in Shanghai
- An efficient access control scheme based on CP-ABE with supporting attribute change in cloud storage systems
- Trajectory optimisation design of robot based on artificial intelligence algorithm
- Research on robust reduction control method of steering-by-wire based on MBSE
- A hybrid training method of convolution neural networks using adaptive cooperative particle swarm optimiser
- Multi-threads computation for aggregation of time-series data
- An automatic detection model of pulmonary nodules based on deep belief network
- Numerical simulation on explosion overpressure features of methane-air premixed gas at different concentrations in utility tunnels
Special issue published: "Energy, Environment and Sustainability"
International Journal of Environmental Technology and Management 22(4/5) 2019
- Quantitative analysis of sound absorption properties of plants in indoor environment for enabling sustainable practices
- Strategically-framed environmental disclosure index: a measurement approach of Malaysian public listed companies' corporate environmental reporting practices
- Evaluating the impact of implementing Minimum Energy Performance Standards appliance regulation in Malaysia
- Analysis of urban water quality trends for effective reservoir sedimentation management in Cameron Highland
- Analysis of optimal options for CO2 emissions reduction in Malaysian transportation sector
- Development of natural fibre for environmental and sustainable advancement
- Sustainable procurement and corporate sustainability performance: the moderating role of organisation age
- Recycling and sustainable environmental practices of household tea waste
- The influence of cleaner production and resource efficiency on corporate sustainability performance: the moderating role of organisation size
- Clarifying the value relevance of voluntary carbon reporting: the case of Malaysian carbon-intensive industries
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