3,220 research outputs found
Wireless body sensor networks for health-monitoring applications
This is an author-created, un-copyedited version of an article accepted for publication in
Physiological Measurement. The publisher is
not responsible for any errors or omissions in this version of the manuscript or any version
derived from it. The Version of Record is available online at http://dx.doi.org/10.1088/0967-3334/29/11/R01
Wellness Protocol: An Integrated Framework for Ambient Assisted Living : A thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy In Electronics, Information and Communication Systems At School of Engineering and Advanced Technology, Massey University, Manawatu Campus, New Zealand
Listed in 2016 Dean's List of Exceptional ThesesSmart and intelligent homes of today and tomorrow are committed to enhancing the security, safety and comfort of the occupants. In the present scenario, most of the smart homes Protocols are limited to controlled activities environments for Ambient Assisted Living (AAL) of the elderly and the convalescents. The aim of this research is to develop a Wellness Protocol that forecasts the wellness of any individual living in the AAL environment. This is based on wireless sensors and networks that are applied to data mining and machine learning to monitor the activities of daily living. The heterogeneous sensor and actuator nodes, based on WSNs are deployed into the home environment. These nodes generate the real-time data related to the object usage and other movements inside the home, to forecast the wellness of an individual. The new Protocol has been designed and developed to be suitable especially for the smart home system. The Protocol is reliable, efficient, flexible, and economical for wireless sensor networks based AAL.
According to consumer demand, the Wellness Protocol based smart home systems can be easily installed with existing households without any significant changes and with a user-friendly interface. Additionally, the Wellness Protocol has extended to designing a smart building environment for an apartment. In the endeavour of smart home design and implementation, the Wellness Protocol deals with large data handling and interference mitigation. A Wellness based smart home monitoring system is the application of automation with integral systems of accommodation facilities to boost and progress the everyday life of an occupant
Internet of Things-aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions
Traditional power grids are being transformed into Smart Grids (SGs) to
address the issues in existing power system due to uni-directional information
flow, energy wastage, growing energy demand, reliability and security. SGs
offer bi-directional energy flow between service providers and consumers,
involving power generation, transmission, distribution and utilization systems.
SGs employ various devices for the monitoring, analysis and control of the
grid, deployed at power plants, distribution centers and in consumers' premises
in a very large number. Hence, an SG requires connectivity, automation and the
tracking of such devices. This is achieved with the help of Internet of Things
(IoT). IoT helps SG systems to support various network functions throughout the
generation, transmission, distribution and consumption of energy by
incorporating IoT devices (such as sensors, actuators and smart meters), as
well as by providing the connectivity, automation and tracking for such
devices. In this paper, we provide a comprehensive survey on IoT-aided SG
systems, which includes the existing architectures, applications and prototypes
of IoT-aided SG systems. This survey also highlights the open issues,
challenges and future research directions for IoT-aided SG systems
Automated Production Line Monitoring System Using Embedded Rfid
In industrial manufacturing, wireless network can be used in supply-chain, retail stock management, electronic security keys, and theft prevention. Manufacturers require an efficient communication and real time feedback to maximize uptime, improve productivity, and provide cost effective solution advancement. This research proposed automated production line monitoring system using embedded RFID through wireless mesh sensor network (WMSN) platform and smart data processing adopted through web-based monitoring system. Embedded devices in the automated production line monitoring system is capable to work as individual units or work together with multiple terminal links such as in WMSN and provide Machine-to-Machine (M2M) communication solution. The reading range capabilities of the proposed system have been tested in the WMSN platform in real world industrial environment. The results obtained shows that the reading range is able to achieve 123 m with the highest power of +3 dBm in Line-of-Sight (LOS). In data collision evaluation with WMSN platform, the average percentage of data received achieved merely 100%. In multi-hop network, the overall proposed system collection time is about 37% lower than the existing RFID tags. Response time within the same specifications shows that the developed server is faster by 30% compared to the existing database. Hence, this is compatible with the output monitoring system since the input is continuously fed based on the standard time of a certain product. The proposed integrated wireless infrastructures are able to minimize approximately 50% of cost compared to other local vendor with wired solutions. In addition, 75% reduction of downtime in the production line which causes the increase in productivity and yield is recorded due to the effective monitoring
Wireless Fault Detection System for an Industrial Robot Based on Statistical Control Chart
Industrial robots are now commonly used in production systems to improve productivity, quality and safety in manufacturing processes. Recent developments involve using robots cooperatively with production line operatives. Regardless of application, there are significant implications for operator safety in the event of a robot malfunction or failure, and the consequent downtime has a significant impact on productivity in manufacturing. Machine healthy monitoring is a type of maintenance inspection technique by which an operational asset is monitored and the data obtained is analysed to detect signs of degradation and thus reducing the maintenance costs. Developments in electronics and computing have opened new horizons in the area of condition monitoring. The aim of using wireless electronic systems is to allow data analysis to be carried out locally at field level and transmitting the results wirelessly to the base station, which as a result will help to overcome the need for wiring and provides an easy and cost-effective sensing technique to detect faults in machines. So, the main focuses of this research is to develop an online and wireless fault detection system for an industrial robot based on statistical control chart approach. An experimental investigation was accomplished using the PUMA 560 robot and vibration signal capturing was adopted, as it responds immediately to manifest itself if any change is appeared in the monitored machine, to extract features related to the robot health conditions. The results indicate the successful detection of faults at the early stages using the key extracted parameters
A cyber-physical system for smart healthcare
Abstract: The increasing number of patients in hospitals is becoming a serious concern in most countries owing to the significantly associated implications for resources such as staff and budget shortages. This problem has prompted researchers to investigate low-cost alternative systems that may assist medical staff with monitoring and caring for patients. In view of the recent widespread availability of cost-effective internet of things (IoT) technologies such as ZigBee, WiFi and sensors integrated into cyber-physical systems, there is the potential for deployment as different topologies in applications such as patient diagnoses and remote patient monitoring...M.Tech. (Electrical and Electronic Engineering Technology
Automated testing with Wireless Communication in the digitalised industry : A case study of Mirka Oy
Advanced automation technologies are changing the dynamics of the process and manufacturing industries. Product development processes are becoming smarter with the application of intelligent solutions and automated testing. The industry 4.0 concept of centralized control for industrial devices results in a rapid increase in the demand for the industrial Internet of Things (IoT) and cordless machines. Wireless communication protocols are integral to the functioning of such devices.
This thesis work is performed with Mirka Oy during the development process of a smart industrial cordless tool. Various available short-range wireless communication protocols are studied to find out the best possible solution to match the product requirements. Besides, an automated testing platform is developed to verify and validate the functional description of the devices. All the stages, starting from the types of embedded system testing, device test requirements, test case designing leading to a comprehensive testing platform are explained. Results generated by the automated platform are analysed, which shows that all the test execution is successful.
The successful implantation of this automated testing platform would significantly increase the efficiency of the development and testing process. Moreover, this dissertation highlights further development in terms of the application of the Artificial Intelligence (AI) and Machine learning (ML) technique for smarter testing processes and increase the overall performance of the testing framework
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