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This paper describes the fundamental requirements and expectations for the development of a knowledge based supervisory support system (KBSSS), to provide industrial decision support, for a sugar mill crystallisation stage. This paper puts into context the rationale for such a system. The increasing need and importance of providing industrial decision support in the industrial sugar mill setting are...
Network congestion in the heterogeneous Internet, which is connected by millions of asynchronous systems, poses a serious threat to communication and intermediate nodes that falls under its path. The primary cause of network congestion is that data in networks are overloaded and available resources are inadequate to contain such traffic loads. An enormous amount of proposed approach towards network...
The increase in network traffic has lead to the concept of congestion in computer networks. The problem of network congestion control remains a major issue in today's computer networks. Despite various methods and algorithms that has been proposed, however due to the dynamic nature of computer networks, no universal control method has been widely accepted. This paper reviews various conventional methods...
This paper describes a deployment proposal and functional characteristics of a knowledge based supervisory support system (KBSSS) to provide expert knowledge in the control and management of the pan stage within a sugar mill. This decision support system utilises fragmented and diverse sources of information and unifies these into a cohesive structure to solve an important industrial control problem...
This paper describes the critical features for information sharing and exchange between industrial pan stage process models within a knowledge based supervisory support system (KBSSS), for pan stage operations in a sugar mill. The innovation outlined underpins the integration of the industrial process models working cooperatively with a blackboard system to provide system forecasting of future pan...
This paper presents the framework for a software architecture to allow [physical] board games to be augmented with computational intelligence through the use of an inference module. The module, in lieu of a human player, is to provide human-like feedback to opponents. In this way, an intelligent interface is established between the physical playing field and the cyber entity.
This paper presents the framework to provide for the prototyping of autonomous search and rescue robots test arena. Test arenas are scaled down physical representation of disaster areas. The arena is embedded with sensors to measure the performance matrices of intelligent autonomous robot prototypes as it navigates across the test bed.
In this paper, a hierarchical fuzzy logic traffic controller is constructed for a real intersection of fourteen vehicle lanes and two pedestrian crossings controlled by signals with seven light phases. The hierarchical fuzzy controller has seven inputs as queue lengths of the seven light phases, and one output as green time of the selected phase. In the hierarchical fuzzy controller, there are six...
This paper covers the development of a core industrial process model of an expert advisory system and its integration within a knowledge based supervisory support system (KBSSS) for the control and management of a sugar mill crystallization stage. The pan stage steady state flow model predicts the long term steady state flow rates and purities of process materials within the pan stage. The primary...
This paper describes a critical feature for the industrial process models of an expert advisory system and their integration within a knowledge based supervisory support system (KBSSS) for advice on best practices and management of a sugar mill crystallization stage. This functionality works cooperatively to translate pan stage industrial process models, used during the forward prediction of pan stage...
The concept of Player Adaptive Entertainment Computing (PAEC) is introduced to provide personalized experiences when interacting with the entertainment media. Two of the important areas in PAEC are to create specific targeted strategies to cater for individual user, and to perform personalization. To accomplish this, a suitable mechanism to model user experience is required. This is explored in a...
This paper discusses the framework of an expert advisory system designed to provide expert knowledge in the control and management of a sugar mill crystallization stage. The Smart Supervisory Control System (SSCS) is fundamentally a hybrid fuzzy logic based expert system that incorporates fuzzy logic, explanatory capabilities and dynamic interrelational process models of the crystallisation stage...
This paper explores the post adjustment of input data from a remote source to fit localised weed prediction for the control and management of weed infestation. The deployment of decision support systems in agricultural sectors often require refinement of its results to adapt to data that has been acquired externally via remote sensing. This paper will detail the fuzzy meta-consequent functions to...
This paper explores a large-scale agro decision support system (DSS) framework to facilitate the fusion of (physical) components to allow integration of multi-input and multi- output of a hybrid system. Decision support system in agriculture sectors are often dependant on multiple input sources such as remote sensing, satellite imagery and external databases, requiring different techniques to consolidate...
This paper details the implementation of an industrial decision support system (IDSS) application to provide expert advice on weed control and management strategies. Due to the qualitative and subjective nature of the strategies, output based intensively on conventional and numerical data poses a level of complexity that can hinder stakeholders from interpreting the data and applying the results effectively...
A tutorial overview of biophotonics is given followed by the highlights of some recent progresses in potential biomedical applications of optical microscopy, spectroscopy, and manipulation.
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