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Wireless Sensor Network (WSN) based acoustic monitoring is useful for ecologists for the purpose of monitoring real-time wildlife behavior across remotely located large areas, for long periods and under variable weather/climate conditions. However, stringent requirements for intense data processing and data bandwidth across network nodes makes applicability of WSN based monitoring limited. This paper...
Engaging in physical exercises such as weight training and physiotherapy stretching exercises at home requires proper execution and awareness of the exercises. One of the main problems in engaging exercises at home is that there is no proper guidance and feedback provided to align the exercises to the correct movements due to the absence of a physical trainer. This paper discusses how a system, namely...
We propose a novel system that collects air sampling field data for a given location in 3D space. A drone mounted with relevant components for air quality measuring is deployed. Data collected from the system will be efficiently transmitted to the storing and monitoring devices. Knowledge of existing air pollutants levels and patterns are taken into consideration in order to analyse a given situation...
Aircraft design consists of many steps such as an aerodynamic design, structural analysis and flight control design etc. And flight control is one of the crucial design aspects in modern aircrafts. Modern day aircrafts heavily rely on automatic control system for most of the functions and there is always a persistence demand for efficient controllers. There are many control techniques and methods...
Advances in technology have enabled wireless devices to monitor and provide information than ever before. These sensors/actuators can be incorporated into any device to provide the user an immersive experience which include services such as connected-consumer, e-Health and smart transportation etc. Bluetooth Smart has emerged as popular wireless communication technology for such devices. The Received...
Nuclear Quadrupole Resonance (NQR) signal detection is a promising explosives detection technology with applications to humanitarian demining. NQR works in the radiofrequency range, and one challenge to using it in such an application is coping with radiofrequency interference. We herein present an algorithm that cancels strong and complex radiofrequency interference (either stationary or nonstationary)...
Control of home appliances using smart technologies which is also known as home automation is a popular (industrial) research area. Many of these systems use remote controlling such as IR sensing, networking, Arduino programing etc. whereas our system uses voice controlling. Proposed system is designed to enable centralize controlling over distant household appliances. In this prototype, we built...
The level of connectivity and accessibility of a university website and the amount of information it shares have become a competitive factor among the world universities. Nowadays, the World Wide Web considerably contributes in the presence of information of university websites. Due to the immense distribution of information over the World Wide Web, it has been a challenging task to measure the quality...
The P300 Speller is a Brain Computer Interface that enables communication using the EEG signal. The P300 wave is an Event Related Potential that occurs as a response to a familiar stimulus. This system can be used to aid persons who are unable to communicate via conventional methods. In this paper, the P300 Speller has been modified to allow communication in three languages: English, Sinhala and Tamil...
Presently, the quality of power supplied is essential to many customers. Power quality (PQ) is a valued utility service where many customers are prepared to pay and get it. In the future, distribution system operators ought to decide, to provide their customers with distinct PQ ranges at different prices. Here, in this paper, a new control action to improve and maintain and enhance the power quality...
Since the side-channel attacks arise as a huge threat for cryptographic schemes than previously realized, it is necessary to implement proven-secure leakage-resilient cryptographic schemes and use them for real-world purposes. In this work our effort is to implement two leakage-resilient cryptographic schemes, a leakage-resilient storage scheme and a refreshing protocol, which have been proven-secure...
Artificial Neural Network (ANN) is a widely used technique in forecasting applications. An ensemble of ANNs can produce more accurate forecasts than a single ANN. The performance of the ensemble depends on its' member ANN. Member selection for an ensemble is a complicated task that need balancing conflicting conditions. This paper presents a method to optimize the selection of members for an ANN ensemble...
The pressure distribution in the sole of the human foot when interacting with a surface (ground) is termed plantar pressure, and is usually measured in the standing position. The plantar pressure distribution or profile is a strong function of the internal anatomy of humans. The profile can undergo changes due to the symptoms of some diseases such as diabetes. An instrument that can accurately measure...
During contingency, load management is most important in planning, monitoring and controlling of power system. In transmission system, there is limit for controlling the reactive power in large size power network. In order to manage heavy loading on transmission, load management is necessary to avoid voltage collapse. This paper presents a methodology for load management considering voltage security...
Biodiesel is renewable, biodegradable and non-toxic alternative fuel which consist various environmental benefits. Animal fats, non-edible oils and waste cooking oils are the main lipid sources of bio diesel production. Biodiesel production involves the main process of tranesterification where the triglyceride lipid source reacts into Fatty Acid Methyl Esters and Glycerol. Large amount of waste cooking...
This paper presents a new concept for data capturing algorithm for golf swing, particularly, in greenside bunkers on a golf course. The captured data will be used to investigate the critical parameters of the golf swing addressing selected significant variables. Modeling and key findings will be used for extracting optimum training parameters. Results show the effectiveness of the proposed BioKin...
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