All Outputs (26)

Can cognitive biases in robots make more "likeable" human-robot interactions than the robots without such biases : case studies using five biases on humanoid robot (2016)
Journal Article
Biswas, M., & Murray, J. (2016). Can cognitive biases in robots make more "likeable" human-robot interactions than the robots without such biases : case studies using five biases on humanoid robot. International journal of artificial life research, 6(1), 1-29. https://doi.org/10.4018/ijalr.2016010101

The research presented in the paper aims to develop long-term companionship between cognitively imperfect robots and humans. In order to develop cognitively imperfect robot, the research suggests to implement various cognitive biases in a robot's int... Read More about Can cognitive biases in robots make more "likeable" human-robot interactions than the robots without such biases : case studies using five biases on humanoid robot.

Unfalsified visual servoing for simultaneous object recognition and pose tracking (2016)
Journal Article
Jiang, P., Cheng, Y., Wang, X., & Feng, Z. (2016). Unfalsified visual servoing for simultaneous object recognition and pose tracking. IEEE Transactions on Cybernetics, 46(12), 3032-3046. https://doi.org/10.1109/TCYB.2015.2495157

In a complex environment, simultaneous object recognition and tracking has been one of the challenging topics in computer vision and robotics. Current approaches are usually fragile due to spurious feature matching and local convergence for pose dete... Read More about Unfalsified visual servoing for simultaneous object recognition and pose tracking.

Opportunities and challenges in control of smart grids – Pakistani perspective (2016)
Journal Article
Irfan, M., Iqbal, J., Iqbal, A., Iqbal, Z., Riaz, R. A., & Mehmood, A. (2017). Opportunities and challenges in control of smart grids – Pakistani perspective. Renewable & sustainable energy reviews, 71, 652-674. https://doi.org/10.1016/j.rser.2016.12.095

With the advancement in technologies, the power requirement around the globe is tremendously increasing, putting extra loads on grids. The existing grids cannot bear that load and also do not provide the interface with Distributed Renewable Energy So... Read More about Opportunities and challenges in control of smart grids – Pakistani perspective.

Regulation of hypnosis in Propofol anesthesia administration based on non‐linear control strategy (2016)
Journal Article
Ilyas, M., Khaqan, A., Iqbal, J., & Riaz, R. A. (2017). Regulation of hypnosis in Propofol anesthesia administration based on non‐linear control strategy. Brazilian Journal of Anesthesiology, 67(2), 122-130. https://doi.org/10.1016/j.bjan.2016.12.005

Continuous adjustment of Propofol in manual delivery of anesthesia for conducting a surgical procedure overburdens the workload of an anesthetist who is working in a multi‐tasking scenario. Going beyond manual administration and Target Controlled Inf... Read More about Regulation of hypnosis in Propofol anesthesia administration based on non‐linear control strategy.

Constraint programming for type inference in flexible model-driven engineering (2016)
Journal Article
Kolovos, D. S., Paige, R. F., Clariso, R., Matragkas, N., Clarisó, R., Kolovos, D., …Zolotas, A. (2017). Constraint programming for type inference in flexible model-driven engineering. Computer languages, systems & structures, 49, 216-230. https://doi.org/10.1016/j.cl.2016.12.002

Domain experts typically have detailed knowledge of the concepts that are used in their domain; however they often lack the technical skills needed to translate that knowledge into model-driven engineering (MDE) idioms and technologies. Flexible or b... Read More about Constraint programming for type inference in flexible model-driven engineering.

The potential role of renewable energy sources in robot's power system: A case study of Pakistan (2016)
Journal Article
Iqbal, J., & Khan, Z. H. (2017). The potential role of renewable energy sources in robot's power system: A case study of Pakistan. Renewable & sustainable energy reviews, 75, 106-122. https://doi.org/10.1016/j.rser.2016.10.055

The domain of ‘robotics’ is undergoing a major transformation in dimension as well as scope. Recent advances in various disciplines of technology have revolutionized this domain at an incredible pace far beyond the contemporary state of the art. High... Read More about The potential role of renewable energy sources in robot's power system: A case study of Pakistan.

Flexible learning in computer science (2016)
Journal Article
Gordon, N. A. (2016). Flexible learning in computer science. New Directions in the Teaching of Physical Sciences, 11(1), https://doi.org/10.29311/ndtps.v0i11.575

This paper outlines the concept of Flexible Pedagogy and how it can assist in addressing some of the issues facing STEM disciplines in general, and Computer Science in particular. The paper considers what flexible pedagogy is and how technologies dev... Read More about Flexible learning in computer science.

The effects of cognitive biases and imperfectness in long-term robot-human interactions: Case studies using five cognitive biases on three robots (2016)
Journal Article
Biswas, M., & Murray, J. (2017). The effects of cognitive biases and imperfectness in long-term robot-human interactions: Case studies using five cognitive biases on three robots. Cognitive systems research, 43, 266-290. https://doi.org/10.1016/j.cogsys.2016.07.007

© 2016 Elsevier B.V. The research presented in this paper demonstrates a model for aiding human-robot companionship based on the principle of ‘human’ cognitive biases applied to a robot. The aim of this work was to study how cognitive biases can affe... Read More about The effects of cognitive biases and imperfectness in long-term robot-human interactions: Case studies using five cognitive biases on three robots.

CofiFab: Coarse-to-fine fabrication of large 3D objects (2016)
Journal Article
Song, P., Deng, B., Wang, Z., Dong, Z., Li, W., Fu, C., & Liu, L. (2016). CofiFab: Coarse-to-fine fabrication of large 3D objects. ACM Transactions on Graphics, 35(4), 1-11. https://doi.org/10.1145/2897824.2925876

This paper presents CofiFab, a coarse-to-fine 3D fabrication solution, which combines 3D printing and 2D laser cutting for cost-effective fabrication of large objects at lower cost and higher speed. Our key approach is to first build coarse internal... Read More about CofiFab: Coarse-to-fine fabrication of large 3D objects.

IRoSim: Industrial Robotics Simulation Design Planning and Optimization platform based on CAD and knowledgeware technologies (2016)
Journal Article
Baizid, K., Ćuković, S., Iqbal, J., Yousnadj, A., Chellali, R., Meddahi, A., …Ghionea, I. (2016). IRoSim: Industrial Robotics Simulation Design Planning and Optimization platform based on CAD and knowledgeware technologies. Robotics and Computer-Integrated Manufacturing, 42, 121-134. https://doi.org/10.1016/j.rcim.2016.06.003

This paper presents Industrial Robotics Simulation Design Planning and Optimization platform named IRoSim, which is based on SolidWorks Application Programming Interface (API) to offer an intuitive and convertible environment for designing and simula... Read More about IRoSim: Industrial Robotics Simulation Design Planning and Optimization platform based on CAD and knowledgeware technologies.

Implications of Weighting Metrics for Line Generalization with Visvalingam’s Algorithm (2016)
Journal Article
Visvalingam, M., & Whelan, J. C. (2016). Implications of Weighting Metrics for Line Generalization with Visvalingam’s Algorithm. The Cartographic journal, 53(3), 253-267. https://doi.org/10.1080/00087041.2016.1149906

Visvalingam's algorithm was designed for caricatural line generalization. A distinction must be made between the algorithm and its operational definition, which includes the metric used to drive it. When the algorithm was first introduced, it was dem... Read More about Implications of Weighting Metrics for Line Generalization with Visvalingam’s Algorithm.

Missing Value Imputation Using Stratified Supervised Learning for Cardiovascular Data (2016)
Journal Article
Davis, D., & Rahman, M. (2016). Missing Value Imputation Using Stratified Supervised Learning for Cardiovascular Data. Journal of Informatics and Data Mining, 1(2), Article 13. https://doi.org/10.21767/2472-1956.100013

Legacy (and current) medical datasets are rich source of information and knowledge. However, the use of most legacy medical datasets is beset with problems. One of the most often faced is the problem of missing data, often due to oversights in data c... Read More about Missing Value Imputation Using Stratified Supervised Learning for Cardiovascular Data.

Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease (2016)
Journal Article
Turner, A. P., Lones, M. A., Trefzer, M. A., Smith, S. L., Jamieson, S., Alty, J. E., …Tyrrell, A. M. (2016). Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease. BioSystems, 146, 35-42. https://doi.org/10.1016/j.biosystems.2016.05.005

© 2016 The Author(s) Levodopa is a drug that is commonly used to treat movement disorders associated with Parkinson's disease. Its dosage requires careful monitoring, since the required amount changes over time, and excess dosage can lead to muscle s... Read More about Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease.

Heuristic Evaluation for Serious Immersive Games and M-instruction (2016)
Journal Article
Brayshaw, M., Gordon, N., & Aljaber, T. (2016). Heuristic Evaluation for Serious Immersive Games and M-instruction. Lecture notes in computer science, 9753, 310-319. https://doi.org/10.1007/978-3-319-39483-1_29

© Springer International Publishing Switzerland 2016. Two fast growing areas for technology-enhanced learning are serious games and mobile instruction (M-instruction or M-Learning). Serious games are ones that are meant to be more than just entertain... Read More about Heuristic Evaluation for Serious Immersive Games and M-instruction.

Fuzzy temporal fault tree analysis of dynamic systems (2016)
Journal Article
Kabir, S., Papadopoulos, Y., Walker, M., Rüde, E., & Securius, P. (2016). Fuzzy temporal fault tree analysis of dynamic systems. International Journal of Approximate Reasoning, 77, 20-37. https://doi.org/10.1016/j.ijar.2016.05.006

Fault tree analysis (FTA) is a powerful technique that is widely used for evaluating system safety and reliability. It can be used to assess the effects of combinations of failures on system behaviour but is unable to capture sequence dependent dynam... Read More about Fuzzy temporal fault tree analysis of dynamic systems.

Automating industrial tasks through mechatronic systems - A review of robotics in industrial perspective (2016)
Journal Article
Iqbal, J., Islam, R. U., Abbas, S. Z., Khan, A. A., & Ajwad, S. A. (2016). Automating industrial tasks through mechatronic systems - A review of robotics in industrial perspective. Tehnički vjesnik – Technical Gazette, 23(3), 917-924. https://doi.org/10.17559/TV-20140724220401

Pressing requirements of improved and enhanced productivity in industrial applications has necessitated deployment of robot to automate tasks. Manipulator based articulated robots for today’s industrial applications vary widely in terms of number of... Read More about Automating industrial tasks through mechatronic systems - A review of robotics in industrial perspective.

A synthesis of logic and bio-inspired techniques in the design of dependable systems (2016)
Journal Article
Papadopoulos, Y., Walker, M., Parker, D., Sharvia, S., Bottaci, L., Kabir, S., …Sorokos, I. (2016). A synthesis of logic and bio-inspired techniques in the design of dependable systems. Annual Reviews in Control, 41, 170-182. https://doi.org/10.1016/j.arcontrol.2016.04.008

Much of the development of model-based design and dependability analysis in the design of dependable systems, including software intensive systems, can be attributed to the application of advances in formal logic and its application to fault forecast... Read More about A synthesis of logic and bio-inspired techniques in the design of dependable systems.

The validity and reliability of an automated method of scoring dental arch relationships in unilateral cleft lip and palate using the modified Huddart-Bodenham scoring system (2016)
Journal Article
Martin, C. B., Ma, X., McIntyre, G. T., Wang, W., Lin, P., Chalmers, E. V., & Mossey, P. A. (2016). The validity and reliability of an automated method of scoring dental arch relationships in unilateral cleft lip and palate using the modified Huddart-Bodenham scoring system. European Journal of Orthodontics, 38(4), 353-358. https://doi.org/10.1093/ejo/cjw031

Objective: To evaluate an automated software tool for the assessment of dental arch relationships using the modified Huddart and Bodenham index. Design: Cohort of 43 models of subjects aged 9-21 with UCLP and the ten GOSLON reference models sets. Met... Read More about The validity and reliability of an automated method of scoring dental arch relationships in unilateral cleft lip and palate using the modified Huddart-Bodenham scoring system.

Application of the D3H2 methodology for the cost-effective design of dependable systems (2016)
Journal Article
Aizpurua, J. I., Muxika, E., Papadopoulos, Y., Chiacchio, F., & Manno, G. (2016). Application of the D3H2 methodology for the cost-effective design of dependable systems. Safety, 2(2), Article 9. https://doi.org/10.3390/safety2020009

The use of dedicated components as a means of achieving desirable levels of fault tolerance in a system may result in high costs. A cost effective way of restoring failed functions is to use heterogeneous redundancies: components that, besides perfor... Read More about Application of the D3H2 methodology for the cost-effective design of dependable systems.

Autonomous crowds tracking with box particle filtering and convolution particle filtering (2016)
Journal Article
De Freitas, A., Mihaylova, L., Gning, A., Angelova, D., & Kadirkamanathan, V. (2016). Autonomous crowds tracking with box particle filtering and convolution particle filtering. Automatica : the journal of IFAC, the International Federation of Automatic Control, 69, 380-394. https://doi.org/10.1016/j.automatica.2016.03.009

Autonomous systems such as Unmanned Aerial Vehicles (UAVs) need to be able to recognise and track crowds of people, e.g. for rescuing and surveillance purposes. Large groups generate multiple measurements with uncertain origin. Additionally, often th... Read More about Autonomous crowds tracking with box particle filtering and convolution particle filtering.