Modern technology has provided robots that can be used for Search and rescue purposes where rescuers have difficulty to locate victims. This is due to problems such as visibility and different environmental conditions. The autonomous... more
Modern technology has provided robots that can be used for Search and rescue purposes where rescuers have difficulty to locate victims. This is due to problems such as visibility and different environmental conditions. The autonomous mobile ability of robot vehicles makes them ideal platforms for search and rescue purposes. Improvements in communication, navigation and sensory systems provide for efficient mobile robotic platforms. The paper describes two platforms that use similar technologies, but have different applications and operate in different environments. Semi-autonomous and autonomous robots for search and rescue operations also use similar technology to achieve different goals. The way this technology is used can be similar due to the harsh environment that the robots will be entering. Comparisons of the two robots are discussed as to the different modules and material that will be needed for each robot.
ABSTRACT Positioning and navigation data for unmanned surface vehicles (USVs) are extracted using the Global Positioning System (GPS) and the Inertial Navigation System (INS) integrated with an inertial measurement unit (IMU). The... more
ABSTRACT Positioning and navigation data for unmanned surface vehicles (USVs) are extracted using the Global Positioning System (GPS) and the Inertial Navigation System (INS) integrated with an inertial measurement unit (IMU). The integration of quaternion with direction cosine matrix (DCM) with the aim of obtaining high accuracy with complete system independence has been effectively used to supply position and attitude information for autonomous navigation of marine crafts. A DCM integrated with a quaternion provided an advanced technique for precise USV attitude estimation and position determination using low-cost sensors. This paper presents the implementation of an INS developed by the integration of DCM and quaternion.
ABSTRACT In recent technological developments, there has been an increase in the available wearable EEG data acquisition system. Current EEG data transmission uses wireless personal area network (WPAN) technology such as proprietary radio... more
ABSTRACT In recent technological developments, there has been an increase in the available wearable EEG data acquisition system. Current EEG data transmission uses wireless personal area network (WPAN) technology such as proprietary radio frequency, XBee and Bluetooth technology. As the opportunities offered in the uses of EEG data in automation and remote control strategies are expanding, there are choice factors associated with its use. Considerations with regards to convenience, quality of service (QoS), network optimization and network bit error rate (BER) are factors influencing the transmission of EEG data in WPAN. This paper discusses the choice factors associated with use of WPAN in EEG data transmission and communication scheme in automation and remote control applications.
ABSTRACT The use of autonomic neural network in the control of smart machines using bio-signals has created the need for advancements in autonomic neural network in EEG signal extraction management. The advancements made in using human... more
ABSTRACT The use of autonomic neural network in the control of smart machines using bio-signals has created the need for advancements in autonomic neural network in EEG signal extraction management. The advancements made in using human cognition for robotic control have increased possibilities once imagined in the field of robotics. The focus of the study is on the application of wireless autonomic neural network in EEG signal extraction. The paper discusses the importance of autonomic neural network in brainwave extraction, transmission and management for robotic control. The prediction and extraction process is an important component of the EEG autonomic neural network.
The management of smart machines controlled by brainwaves has created the need for advancements in autonomic neural networks. The advancements made in using human cognition for robotic control has provided possibilities once imagined. The... more
The management of smart machines controlled by brainwaves has created the need for advancements in autonomic neural networks. The advancements made in using human cognition for robotic control has provided possibilities once imagined. The focus of the study is on the application of wireless of autonomic neural network in EEG signal extraction. The paper discussed the importance of autonomic neural network in brainwave extraction, transmission and management for robotic control. The prediction and extraction process are important component of the EEG autonomic neural network.
ABSTRACT The much desired components of an effective intelligent management system require a business intelligence system and methodology to enable effective management decision making skills. The development of low-cost data acquisition;... more
ABSTRACT The much desired components of an effective intelligent management system require a business intelligence system and methodology to enable effective management decision making skills. The development of low-cost data acquisition; storage systems and the wide availability of fast wide area networks have made data more accessible for managers and individuals to make an integrated intelligent management decision in an organization or manufacturing environment. This paper demonstrates that the right use of data for improved throughputs opens more interesting opportunities which are maximized by managers and decision makers in managing an enterprise.
The performance of frequency modulated continuous wave (FMCW) radar in tracking targets is presented and analysed. Obstacle detection, target tracking and radar target tracking performance models are developed and were used to investigate... more
The performance of frequency modulated continuous wave (FMCW) radar in tracking targets is presented and analysed. Obstacle detection, target tracking and radar target tracking performance models are developed and were used to investigate and to propose ways of improving the autonomous motion of unmanned surface vehicle (USV). Possible factors affecting the performance of FMCW radar in tracking targets are discussed and analysed.
The productivity level in an advanced manufacturing environment can be improved by proper design of mechanism at the initial stage in the manufacturing system. The aim of this paper is to model and simulate the design parameters of a... more
The productivity level in an advanced manufacturing environment can be improved by proper design of mechanism at the initial stage in the manufacturing system. The aim of this paper is to model and simulate the design parameters of a conveyor system that transport parts from one production stage to another. The approach of model-based design and simulation was used to achieve optimal efficiency of conveyor belt during its operation. Working parameters that can determine the measurable performance of conveyors were studied and presented in a classical model. Outcome from the analysis were simulated using MATLAB software. Simulation results shows that the design parameters used, gave an optimal operating speed at a reduced time of operation.
