Three solutions for a robot arm controller using Pascal-Plus, occam and edison
Kerridge, J. M., & Simpson, D. (1984)
Three solutions for a robot arm controller using Pascal-Plus, occam and edison. Software: Practice and Experience, 14(1), 3-15. https://doi.org/10.1002/spe.4380140103
Three currently available concurrent language systems, Pascal‐Plus, occam and Edison, are used to implement a controller for a robot arm. The robot arm allows real parallelism...
A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction
Liu, Q., Zou, Y., & Liu, X. (2019)
A Self-Organizing Memory Neural Network for Aerosol Concentration Prediction. Computer Modeling in Engineering and Sciences, 119(3), 617-637. https://doi.org/10.32604/cmes.2019.06272
Haze-fog, which is an atmospheric aerosol caused by natural or man-made factors, seriously affects the physical and mental health of human beings. PM2.5 (a particulate matter ...
Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data.
Craig, P., Kennedy, J., & Cumming, A. (2005)
Animated interval scatter-plot views for the exploratory analysis of large scale microarray time-course data. Information Visualization, 4, 149-163. doi:10.1057/palgrave.ivs.9500101
Microarray technologies are a relatively new development that allow biologists to monitor the activity of thousands of genes (normally around 8,000) in parallel across multipl...
An Optimized Resource Scheduling Strategy for Hadoop Speculative Execution Based on Non-cooperative Game Schemes
Jiang, Y., Liu, Q., Dannah, W., Jin, D., Liu, X., & Sun, M. (2020)
An Optimized Resource Scheduling Strategy for Hadoop Speculative Execution Based on Non-cooperative Game Schemes. Computers, Materials & Continua, 62(2), 713-729. https://doi.org/10.32604/cmc.2020.04604
Hadoop is a well-known parallel computing system for distributed computing and large-scale data processes. “Straggling” tasks, however, have a serious impact on task allocatio...
Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models
Liu, Q., Kamoto, K. M., Liu, X., Sun, M., & Linge, N. (2019)
Low-Complexity Non-Intrusive Load Monitoring Using Unsupervised Learning and Generalized Appliance Models. IEEE Transactions on Consumer Electronics, 65(1), 1-1. doi:10.1109/tce.2019.2891160
Awareness of electric energy usage has both societal and economic benefits, which include reduced energy bills and stress on non-renewable energy sources. In recent years, the...
MaTSE: the gene expression time-series explorer.
Craig, P., Cannon, A., Kukla, R., & Kennedy, J. (2013)
MaTSE: the gene expression time-series explorer. BMC bioinformatics, 14, https://doi.org/10.1186/1471-2105-14-S19-S1
High throughput gene expression time-course experiments provide a perspective on biological functioning recognized as having huge value for the diagnosis, treatmen...
Teallach: a model-based user interface development environment for object databases
Griffiths, T., Barclay, P. J., Paton, N. W., McKirdy, J., Kennedy, J., Gray, P., …Pinherio da Silva, P. (2001)
Teallach: a model-based user interface development environment for object databases. Interacting with Computers, 14(1), 31-68. doi:10.1016/s0953-5438(01)00042-x
Model-based user interface development environments show promise for improving the productivity of user-interface developers and possibly for improving the quality of develope...
On Constructing Ensembles for Combinatorial Optimisation
Hart, E., & Sim, K. (2018)
On Constructing Ensembles for Combinatorial Optimisation. Evolutionary Computation, 26(1), 67-87. https://doi.org/10.1162/evco_a_00203
Although the use of ensemble methods in machine-learning is ubiquitous due to their proven ability to outperform their constituent algorithms, ensembles of optimisation algori...
A rule based taxonomy of dirty data.
Li, L., Peng, T., & Kennedy, J. (2011)
A rule based taxonomy of dirty data. GSTF journal on computing, 1(2), 140-148
There is a growing awareness that high quality of data is a key to today’s business success and that dirty data existing within data sources is one of the causes of poor data ...
A standard data model representation for taxonomic information.
Kennedy, J., Hyam, R., Kukla, R., & Paterson, T. (2006)
A standard data model representation for taxonomic information. OMICS, 10, 220-230. doi:10.1089/omi.2006.10.220
The names used by biologists to label the observations they make are imprecise. This is an issue as workers increasingly seek to exploit data gathered from multiple, unrelated...