All Outputs (66)

Truck and trailer scheduling in a real world, dynamic and heterogeneous context. (2016)
Journal Article
REGNIER-COUDERT, O., MCCALL, J., AYODELE, M. and ANDERSON, S. 2016. Truck and trailer scheduling in a real world, dynamic and heterogeneous context. Transportation research, part E: logistics and transportation review [online], 93, pages 389-408. Available from: https://doi.org/10.1016/j.tre.2016.06.010

We present a new variant of the Vehicle Routing Problem based on a real industrial scenario. This VRP is dynamic and heavily constrained and uses time-windows, a heterogeneous vehicle fleet and multiple types of job. A constructive solver is develope... Read More about Truck and trailer scheduling in a real world, dynamic and heterogeneous context..

The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system. (2016)
Journal Article
FERNANDEZ-ALEMAN, J.L., LOPEZ-GONZALEZ, L., GONZALEZ-SEQUEROS, O., JAYNE, C., LOPEZ-JIMENEZ, J.J. and TOVAL, A. 2016. The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system. International journal of medical informatics [online], 94, pages 172-181. Available from: https://doi.org/10.1016/j.ijmedinf.2016.07.008.

Objective This paper presents an empirical study of a formative mobile-based assessment approach that can be used to provide students with intelligent diagnostic feedback to test its educational effectiveness. Method An audience response system calle... Read More about The evaluation of i-SIDRA - a tool for intelligent feedback - in a course on the anatomy of the locomotor system..

Motivation, optimal experience and flow in first year computing science. (2016)
Conference Proceeding
MCDERMOTT, R., ZARB, M., DANIELS, M., CAJANDER, Å. and CLEAR, T. 2016. Motivation, optimal experience and flow in first year computing science. In Proceedings of the 2016 Association for Computing Machinery (ACM) conference on innovation and technology in computer science education (ITiCSE '16), 9-13 July 2016, Arequipa, Peru. New York: ACM [online], pages 206-211. Available from: https://doi.org/10.1145/2899415.2899474

We examine the concept of motivation from the perspective of Self Determination Theory and give a brief overview of relevant results. We also consider the optimal state known as Flow and give an account of its conceptualisation in the theory due to C... Read More about Motivation, optimal experience and flow in first year computing science..

Student concerns regarding transition into higher education CS. (2016)
Conference Proceeding
SIEGEL, A.A. and ZARB, M. 2016. Student concerns regarding transition into higher education CS. In Proceedings of the 21st Association for Computing Machinery (ACM) Innovation and technology in computer science education 2016 conference (ITiCSE 2016), 11-13 July 2016, Arequipa, Peru. New York: ACM [online], pages 23-28. Available from: https://doi.org/10.1145/2899415.2909581

This paper discusses a study where 249 students from 18 secondary schools around Scotland who were on the verge of applying to study Computing Science at a higher education institution were surveyed on their concerns about the upcoming transition. Pr... Read More about Student concerns regarding transition into higher education CS..

Novice programmers and the problem description effect. (2016)
Conference Proceeding
BOUVIER, D., LOVELLETTE, E., MATTA, J., ALSHAIGY, B., BECKER, B.A., CRAIG, M., JACKOVA, J., MCCARTNEY, R., SANDERS, K. and ZARB, M. 2016. Novice programmers and the problem description effect. In Proceedings of the Innovation and technology in computer science education on working group reports 2016 (ITiCSE-WGR '16), 9-13 July 2016, Arequipa, Peru. New York: ACM [online], pages 103-118. Available from: https://doi.org/10.1145/3024906.3024912

It is often debated whether a problem presented in a straightforward minimalist fashion is better, or worse, for learning than the same problem presented with a real-life or concrete context. The presentation, contextualization, or problem descriptio... Read More about Novice programmers and the problem description effect..

Classifying Arabic text using KNN classifier. (2016)
Journal Article
AL-BADARENAH, A., AL-SHAWAKFA, E., AL-RABABAH, K., SHATNAWI, S. and BANI-ISMAIL, B. 2016. Classifying Arabic text using KNN classifier. International journal of advanced computer science and applications [online], 7(6), pages 259-268. Available from: https://doi.org/10.14569/IJACSA.2016.070633

With the tremendous amount of electronic documents available, there is a great need to classify documents automatically. Classification is the task of assigning objects (images, text documents, etc.) to one of several predefined categories. The selec... Read More about Classifying Arabic text using KNN classifier..

Implementing the required degree of multitenancy isolation: a case study of cloud-hosted bug tracking system. (2016)
Conference Proceeding
OCHEI, L.C., PETROVSKI, A. and BASS, J.M. 2016. Implementing the required degree of multitenancy isolation: a case study of cloud-hosted bug tracking system. In Zhang, J., Miller, J.A. and Xu, X. (eds.) Proceedings of the 13th Institute of Electrical and Electronics Engineers (IEEE) International services computing conference 2016 (SCC 2016), 27 June - 2 July 2016, San Francisco, USA. Piscataway: IEEE [online], pages 379-386. Available from: https://doi.org/10.1109/SCC.2016.56

Implementing the required degree of isolation between tenants is one of the significant challenges for deploying a multitenant application on the cloud. This paper applies COMITRE (Component-based approach to multitenancy isolation through request re... Read More about Implementing the required degree of multitenancy isolation: a case study of cloud-hosted bug tracking system..

Region-based memetic algorithm with archive for multimodal optimisation. (2016)
Journal Article
LACROIX, B., MOLINA, D. and HERRERA, F. 2016. Region-based memetic algorithm with archive for multimodal optimisation. Information sciences [online], 367-368, pages 719-746. Available from: https://doi.org/10.1016/j.ins.2016.05.049

In this paper we propose a specially designed memetic algorithm for multimodal optimisation problems. The proposal uses a niching strategy, called region-based niching strategy, that divides the search space in predefined and indexable hypercubes wit... Read More about Region-based memetic algorithm with archive for multimodal optimisation..

Contextual lexicon-based sentiment analysis for social media. (2016)
Thesis
MUHAMMAD, A.B. 2016. Contextual lexicon-based sentiment analysis for social media. Robert Gordon University, PhD thesis.

Sentiment analysis concerns the computational study of opinions expressed in text. Social media domains provide a wealth of opinionated data, thus, creating a greater need for sentiment analysis. Typically, sentiment lexicons that capture term-sentim... Read More about Contextual lexicon-based sentiment analysis for social media..

Water, water, every where: nuances for a water industry critical infrastructure specification exemplar. (2016)
Conference Proceeding
FAILY, S., STERGIOPOULOS, G., KATOS, V. and GRITZALIS, D. 2016. Water, water, every where: nuances for a water industry critical infrastructure specification exemplar. In Rome, E., Theocharidou, M. and Wolthusen, S. (eds.) Critical information infrastructures security: revised selected papers from the proceedings of the 10th International conference on critical information infrastructures security (CRITIS 2015), 5-7 October 2015, Berlin, Germany. Lecture notes in computer science, 9578. Cham: Springer [online], pages 243-246. Available from: https://doi.org/10.1007/978-3-319-33331-1_20

The water infrastructure is critical to human life, but little attention has been paid to the nuances of the water industry. Without such attention, evaluating security innovation in this domain without compromising the productivity goals when delive... Read More about Water, water, every where: nuances for a water industry critical infrastructure specification exemplar..

Contextual sentiment analysis for social media genres. (2016)
Journal Article
MUHAMMAD, A., WIRATUNGA, N. and LOTHIAN, R. 2016. Contextual sentiment analysis for social media genres. Knowledge-based systems [online], 108, pages 92-101. Available from: https://doi.org/10.1016/j.knosys.2016.05.032

The lexicon-based approaches to opinion mining involve the extraction of term polarities from sentiment lexicons and the aggregation of such scores to predict the overall sentiment of a piece of text. It is typically preferred where sentiment labelle... Read More about Contextual sentiment analysis for social media genres..

Optimal resource allocation in wireless-powered OFDM relay networks. (2016)
Journal Article
HUANG, G. and TU, W. 2016. Optimal resource allocation in wireless-powered OFDM relay networks. Computer networks [online], 104, pages 94-107. Available from: https://doi.org/10.1016/j.comnet.2016.05.006

This paper studies resource allocation in wireless-powered orthogonal-frequency-division multiplexing (OFDM) amplify-and-forward (AF) or decode-and-forward (DF) relay networks with time-switching (TS) based relaying. Our objective is to maximize end-... Read More about Optimal resource allocation in wireless-powered OFDM relay networks..

Efficient wireless multimedia multicast in multi-rate multi-channel mesh networks. (2016)
Journal Article
TU, W. 2016. Efficient wireless multimedia multicast in multi-rate multi-channel mesh networks. IEEE transactions on signal and information processing over networks [online], 2(3), 376-390. Available from: https://doi.org/10.1109/TSIPN.2016.2550806

Devices in wireless mesh networks can operate on multiple channels (MC) and automatically adjust their transmission rates for the occupied channels. This paper shows how to improve performance-guaranteed multicasting transmission coverage for wireles... Read More about Efficient wireless multimedia multicast in multi-rate multi-channel mesh networks..

Clustering and nearest neighbour based classification approach for mobile activity recognition. (2016)
Journal Article
BASHIR, S.A., DOOLAN, D.C. and PETROVSKI, A. 2016. Clustering and nearest neighbour based classification approach for mobile activity recognition. Journal of mobile multimedia [online], 12(1-2), pages 110-124. Available from: https://journals.riverpublishers.com/index.php/JMM/article/view/4487

We present a hybridized algorithm based on clustering and nearest neighbour classifier for mobile activity recognition. The algorithm transforms a training dataset into a more compact and reduced representative set that lessens the computational cost... Read More about Clustering and nearest neighbour based classification approach for mobile activity recognition..

A review of air-fuel mixing and alternative methods in scramjets and scramjet-like engines. (2016)
Journal Article
MACLEOD, C. and GERRARD, C.E. 2016. A review of air-fuel mixing and alternative methods in scramjets and scramjet-like engines. Journal of the British Interplanetary Society [online], 69(4), pages 116-126. Available from: http://www.jbis.org.uk/paper/2016.69.116

This paper reviews work on two aspects of scramjet and similar ducted hypersonic propulsion. The first of these is air-fuel mixing techniques - the problem of mixing is considered the most intractable in scramjet design. The second aspect is the use... Read More about A review of air-fuel mixing and alternative methods in scramjets and scramjet-like engines..

Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research. (2016)
Journal Article
MORENO-GARCÍA, C.F., ACEVES-MARTINS, M. and SERRATOSA, F. 2016. Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research. Computación y sistemas [online], 20(1), pages 7-17. Available from: https://doi.org/10.13053/CyS-20-1-2360

When trying to synthesize information from multiple sources and perform a statistical review to compare them, particularly in the medical research field, several statistical tools are available, most common are the systematic review and the meta-anal... Read More about Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research..

Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: A systematic review and meta-analysis. (2016)
Journal Article
ACEVES-MARTINS, M., LLAURDÓ, E., TARRO, L., MORENO-GARCÍA, C.F., TRUJILLO ESCOBAR, T.G., SOLÁ, R. and GIRALT, M. 2016. Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: a systematic review and meta-analysis. Nutrition reviews [online], 74(5), pages 337-351. Available from: https://doi.org/10.1093/nutrit/nuw004

Context: The use of social marketing to modify lifestyle choices could be helpful in reducing youth obesity. Some or all of the 8 domains of the National Social Marketing Centre's social marketing benchmark criteria (SMBC) are often used but not alwa... Read More about Effectiveness of social marketing strategies to reduce youth obesity in European school-based interventions: A systematic review and meta-analysis..

Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. (2016)
Journal Article
RAHIM, S.S., PALADE, V., SHUTTLEWORTH, J. and JAYNE, C. 2016. Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. Brain informatics [online], 3(4), pages 249-267. Available from: https://doi.org/10.1007/s40708-016-0045-3

Digital retinal imaging is a challenging screening method for which effective, robust and cost-effective approaches are still to be developed. Regular screening for diabetic retinopathy and diabetic maculopathy diseases is necessary in order to ident... Read More about Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing..

(Re)presenting heritage: laser scanning and 3D visualisations for cultural resilience and community engagement. (2016)
Journal Article
TAIT, E., LAING, R., GRINNALL, A., BURNETT, S. and ISAACS, J. 2016. (Re)presenting heritage: laser scanning and 3D visualisations for cultural resilience and community engagement. Journal of information science [online], 42(3), pages 420-433. Available from: https://doi.org/10.1177/0165551516636306

Cultural heritage is increasingly being viewed as an economic asset for geographic areas who aim to capitalise in the surge in interest in local history and heritage tourism from members of the public. Digital technologies have developed that facilit... Read More about (Re)presenting heritage: laser scanning and 3D visualisations for cultural resilience and community engagement..

The effect of window length on accuracy of smartphone-based activity recognition. (2016)
Journal Article
BASHIR, S.A., DOOLAN, D.C. and PETROVSKI, A. 2016. The effect of window length on accuracy of smartphone-based activity recognition. IAENG international journal of computer science [online], 43(1), pages 126-136. Available from: http://www.iaeng.org/IJCS/issues_v43/issue_1/IJCS_43_1_15.pdf

One of the main approaches for personalization of activity recognition is the generation of the classification model from user annotated data on mobile itself. However, giving the resource constraints on such devices there is a need to examine the ef... Read More about The effect of window length on accuracy of smartphone-based activity recognition..