The Computerised Tomography and Magnetic Resonance Imaging (CT/MRI) technologies have been playin... more The Computerised Tomography and Magnetic Resonance Imaging (CT/MRI) technologies have been playing important roles in medical diagnosis and treatments. With the advancements of computer graphics, design and manufacturing technologies in recent decades, medical imaging data such as CT/MRI has been used for personalized design and development of medical models, surgical tools, implants and medical devices, as well as development of databases and 3D models for anthropology and anatomy study, medical education and training. In this paper, an integrated system and framework for development of medical applications based on CT/MRI data is introduced and discussed; it is aimed to target the medical applications in the developing countries, including (1) construction of population-specific 3D anatomical databases, (2) design and development of personalized (patient-specific) medical products, and (3) development of medical training models and education tools. The proposed system and framewor...
Journal of Bone and Joint Surgery-british Volume, 2013
The Lubinus SP2 femoral stem has a 10 year survivorship of 96%. Curiosity lies in that force-clos... more The Lubinus SP2 femoral stem has a 10 year survivorship of 96%. Curiosity lies in that force-closed stem designs such as the Exeter appear to be more superior to that of the composite-beam like the Lubinus which performs best compared with all other stem types. Biomechanical comparisons of the stress distributions between native and implanted human femora with a cemented Lubinus stem simulating an everyday clinical activity were made. Rosette strain gauges were placed onto fourth generation composite cortical sawbone femora and placed within a hemipelvis rig simulating the dynamic position of the femur during single-legged stance. The femora were then implanted with the Lubinus and principal strain measurements calculated for both intact and implanted femora. These values correlate directly with stress. Statistical calculations were carried out including a two-way ANOVA and Student9s unpaired t-test so as to ascertain any relationship between the intact and implanted femora strain v...
This chapter presents a newly developed approach for intelligently generating symbolic plans for ... more This chapter presents a newly developed approach for intelligently generating symbolic plans for mobile robots acting in domestic environments, such as offices and houses. The significance of this approach lies in its novel framework which consists of new modelling of high-level robot actions and their integration with common-sense knowledge in order to support robotic task planner. This framework will enable direct interactions between the task planner and the semantic knowledge base. By using common-sense domain knowledge, the task planner will take into consideration the properties and relations of objects and places in its environment, before creating semantically related actions that will represent a plan. A new module has been appended to the framework which is called Semantic Realization and Refreshment Module (SRRM). This module has the ability to discover and select entities in the robot’s world (entities related to robot plan) which are semantically equivalent or have a degree of similarity (where they don’t exceed a predefined threshold) by using techniques and standards (metrics) for similarities. SRRM supports robotic task planning to generate approximate plans to solve its tasks when there is no exact plan can be generated according to initial and goal state by extending initial state and action details with similar or equivalent objects. The extended framework enables direct interactions between task planner, Semantic Action Models (SAMs) and knowledge-base through creating planning domain (or extended planning domain) with predicates (or semantically equivalent or similar predicates) which specify domain features. The proposed framework and approach are tested on some scenarios that cover most aspects of robot planning system.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2005
The minimum distance classifier (MDC) is an example of a commonly used ‘conventional’ classifier.... more The minimum distance classifier (MDC) is an example of a commonly used ‘conventional’ classifier. Whilst there has been a focus on using neural networks for the advantages that they offer, few researchers report direct comparison with conventional classifiers which typically have the advantage of being simpler. This paper provides such a comparison. The results show that the MDC does not perform as well as a neural network when applied to an industrial problem, namely that of identifying defects on wood veneer.
Handbook of Research on Artificial Intelligence Techniques and Algorithms
The Bees Algorithm (BA) is a swarm-based optimization algorithm inspired by the food foraging beh... more The Bees Algorithm (BA) is a swarm-based optimization algorithm inspired by the food foraging behavior of honeybees. The aim of this chapter is to describe a swarm-based optimization algorithm called the Bees Algorithm and its applications to real world problems. After an explanation of the natural foraging behavior of honeybees, the basic Bees Algorithm and its enhanced version based on Adaptive Neighborhood Search and Site Abandonment (ANSSA) strategy are described and two applications are discussed in detail. The first application deals with the optimization of several benchmark functions and the results obtained by the ANSSA-based BA is compared with the basic BA and other optimization algorithms. The second application deals with the multi-objective optimization problem in finding the best supply chain configuration.
2009 7th IEEE International Conference on Industrial Informatics, 2009
... TABLE I THE RESULTS OBTAINED FOR THE PROPOSED BEES ALGORITHM (PBA) COMPARED WITH THE BASIC BE... more ... TABLE I THE RESULTS OBTAINED FOR THE PROPOSED BEES ALGORITHM (PBA) COMPARED WITH THE BASIC BEES ALGORITHM (BBA) Proposed Bees Algorithm (PBA) with Pheromone mean no. of evalua tions for PBA mean no. ...
IEEE 10th International Conference on Industrial Informatics, 2012
ABSTRACT Automated task planning for service robots faces great challenges in handling dynamic do... more ABSTRACT Automated task planning for service robots faces great challenges in handling dynamic domestic environments. Classical methods in the Artificial Intelligence (AI) area mostly focus on relatively structured environments with fewer uncertainties. This work proposes a method to combine semantic knowledge representation with classical approaches in AI to build a flexible framework that can assist service robots in task planning at the high symbolic level. A semantic knowledge ontology is constructed for representing two main types of information: environmental description and robot primitive actions. Environmental knowledge is used to handle spatial uncertainties of particular objects. Primitive actions, which the robot can execute, are constructed based on a STRIPS-style structure, allowing a feasible solution (an action sequence) for a particular task to be created. With the Care-O-Bot (CoB) robot as the platform, we explain this work with a simple, but still challenging, scenario named “get a milk box”. A recursive back-trace search algorithm is introduced for task planning, where three main components are involved, namely primitive actions, world states, and mental actions. The feasibility of the work is demonstrated with the CoB in a simulated environment.
2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004
The network of excellence (NoE) for innovative production machines and systems (I*PROMS) is desig... more The network of excellence (NoE) for innovative production machines and systems (I*PROMS) is designed to integrate the activities of leading European Union (El)) research institutions in the field of production research. I*PROMS seeks to facilitate the development of common concepts, tools and techniques enabling the creation and operation of flexible, re-configurable, fault-tolerant and eco- and user-friendly production systems that can
2006 IEEE International Conference on Industrial Informatics, 2006
... At the end of each iteration, the colony will have two parts to its new ... Neural networks (... more ... At the end of each iteration, the colony will have two parts to its new ... Neural networks (also known as Artificial Neural Networks) are computational models inspired by the human ... assigned to the connections between the neurons within the network where each bee represents a ...
The Computerised Tomography and Magnetic Resonance Imaging (CT/MRI) technologies have been playin... more The Computerised Tomography and Magnetic Resonance Imaging (CT/MRI) technologies have been playing important roles in medical diagnosis and treatments. With the advancements of computer graphics, design and manufacturing technologies in recent decades, medical imaging data such as CT/MRI has been used for personalized design and development of medical models, surgical tools, implants and medical devices, as well as development of databases and 3D models for anthropology and anatomy study, medical education and training. In this paper, an integrated system and framework for development of medical applications based on CT/MRI data is introduced and discussed; it is aimed to target the medical applications in the developing countries, including (1) construction of population-specific 3D anatomical databases, (2) design and development of personalized (patient-specific) medical products, and (3) development of medical training models and education tools. The proposed system and framewor...
Journal of Bone and Joint Surgery-british Volume, 2013
The Lubinus SP2 femoral stem has a 10 year survivorship of 96%. Curiosity lies in that force-clos... more The Lubinus SP2 femoral stem has a 10 year survivorship of 96%. Curiosity lies in that force-closed stem designs such as the Exeter appear to be more superior to that of the composite-beam like the Lubinus which performs best compared with all other stem types. Biomechanical comparisons of the stress distributions between native and implanted human femora with a cemented Lubinus stem simulating an everyday clinical activity were made. Rosette strain gauges were placed onto fourth generation composite cortical sawbone femora and placed within a hemipelvis rig simulating the dynamic position of the femur during single-legged stance. The femora were then implanted with the Lubinus and principal strain measurements calculated for both intact and implanted femora. These values correlate directly with stress. Statistical calculations were carried out including a two-way ANOVA and Student9s unpaired t-test so as to ascertain any relationship between the intact and implanted femora strain v...
This chapter presents a newly developed approach for intelligently generating symbolic plans for ... more This chapter presents a newly developed approach for intelligently generating symbolic plans for mobile robots acting in domestic environments, such as offices and houses. The significance of this approach lies in its novel framework which consists of new modelling of high-level robot actions and their integration with common-sense knowledge in order to support robotic task planner. This framework will enable direct interactions between the task planner and the semantic knowledge base. By using common-sense domain knowledge, the task planner will take into consideration the properties and relations of objects and places in its environment, before creating semantically related actions that will represent a plan. A new module has been appended to the framework which is called Semantic Realization and Refreshment Module (SRRM). This module has the ability to discover and select entities in the robot’s world (entities related to robot plan) which are semantically equivalent or have a degree of similarity (where they don’t exceed a predefined threshold) by using techniques and standards (metrics) for similarities. SRRM supports robotic task planning to generate approximate plans to solve its tasks when there is no exact plan can be generated according to initial and goal state by extending initial state and action details with similar or equivalent objects. The extended framework enables direct interactions between task planner, Semantic Action Models (SAMs) and knowledge-base through creating planning domain (or extended planning domain) with predicates (or semantically equivalent or similar predicates) which specify domain features. The proposed framework and approach are tested on some scenarios that cover most aspects of robot planning system.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2005
The minimum distance classifier (MDC) is an example of a commonly used ‘conventional’ classifier.... more The minimum distance classifier (MDC) is an example of a commonly used ‘conventional’ classifier. Whilst there has been a focus on using neural networks for the advantages that they offer, few researchers report direct comparison with conventional classifiers which typically have the advantage of being simpler. This paper provides such a comparison. The results show that the MDC does not perform as well as a neural network when applied to an industrial problem, namely that of identifying defects on wood veneer.
Handbook of Research on Artificial Intelligence Techniques and Algorithms
The Bees Algorithm (BA) is a swarm-based optimization algorithm inspired by the food foraging beh... more The Bees Algorithm (BA) is a swarm-based optimization algorithm inspired by the food foraging behavior of honeybees. The aim of this chapter is to describe a swarm-based optimization algorithm called the Bees Algorithm and its applications to real world problems. After an explanation of the natural foraging behavior of honeybees, the basic Bees Algorithm and its enhanced version based on Adaptive Neighborhood Search and Site Abandonment (ANSSA) strategy are described and two applications are discussed in detail. The first application deals with the optimization of several benchmark functions and the results obtained by the ANSSA-based BA is compared with the basic BA and other optimization algorithms. The second application deals with the multi-objective optimization problem in finding the best supply chain configuration.
2009 7th IEEE International Conference on Industrial Informatics, 2009
... TABLE I THE RESULTS OBTAINED FOR THE PROPOSED BEES ALGORITHM (PBA) COMPARED WITH THE BASIC BE... more ... TABLE I THE RESULTS OBTAINED FOR THE PROPOSED BEES ALGORITHM (PBA) COMPARED WITH THE BASIC BEES ALGORITHM (BBA) Proposed Bees Algorithm (PBA) with Pheromone mean no. of evalua tions for PBA mean no. ...
IEEE 10th International Conference on Industrial Informatics, 2012
ABSTRACT Automated task planning for service robots faces great challenges in handling dynamic do... more ABSTRACT Automated task planning for service robots faces great challenges in handling dynamic domestic environments. Classical methods in the Artificial Intelligence (AI) area mostly focus on relatively structured environments with fewer uncertainties. This work proposes a method to combine semantic knowledge representation with classical approaches in AI to build a flexible framework that can assist service robots in task planning at the high symbolic level. A semantic knowledge ontology is constructed for representing two main types of information: environmental description and robot primitive actions. Environmental knowledge is used to handle spatial uncertainties of particular objects. Primitive actions, which the robot can execute, are constructed based on a STRIPS-style structure, allowing a feasible solution (an action sequence) for a particular task to be created. With the Care-O-Bot (CoB) robot as the platform, we explain this work with a simple, but still challenging, scenario named “get a milk box”. A recursive back-trace search algorithm is introduced for task planning, where three main components are involved, namely primitive actions, world states, and mental actions. The feasibility of the work is demonstrated with the CoB in a simulated environment.
2nd IEEE International Conference on Industrial Informatics, 2004. INDIN '04. 2004
The network of excellence (NoE) for innovative production machines and systems (I*PROMS) is desig... more The network of excellence (NoE) for innovative production machines and systems (I*PROMS) is designed to integrate the activities of leading European Union (El)) research institutions in the field of production research. I*PROMS seeks to facilitate the development of common concepts, tools and techniques enabling the creation and operation of flexible, re-configurable, fault-tolerant and eco- and user-friendly production systems that can
2006 IEEE International Conference on Industrial Informatics, 2006
... At the end of each iteration, the colony will have two parts to its new ... Neural networks (... more ... At the end of each iteration, the colony will have two parts to its new ... Neural networks (also known as Artificial Neural Networks) are computational models inspired by the human ... assigned to the connections between the neurons within the network where each bee represents a ...
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Papers by M. Packianather