Fundamentals Of Neural Networks Architectures Algorithms And Applications

The recent changes in climate have increased the importance of environmental monitoring, making it a topical and highly active research area. This field is based on remote sensing and on wireless sensor networks for gathering data about the environment. Recent advancements, such as the vision of the Internet of Things (IoT), the cloud computing model, and cyber-physical systems, provide support for the transmission and management of huge amounts of data regarding the trends observed in environmental parameters. In this context, the current work presents three different IoT-based wireless sensors for environmental and ambient monitoring: one employing User Datagram Protocol (UDP)-based Wi-Fi communication, one communicating through Wi-Fi and Hypertext Transfer Protocol (HTTP), and a third one using Bluetooth Smart. All of the presented systems provide the possibility of recording data at remote locations and of visualizing them from every device with an Internet connection, enabling the monitoring of geographically large areas. The development details of these systems are described, along with the major differences and similarities between them. The feasibility of the three developed systems for implementing monitoring applications, taking into account their energy autonomy, ease of use, solution complexity, and Internet connectivity facility, was analyzed, and revealed that they make good candidates for IoT-based solutions.

Analysis of Three IoT-Based Wireless Sensors for Environmental Monitoring

Condition monitoring can reduce machine breakdown losses, increase productivity and operation safety, and therefore deliver significant benefits to many industries. The emergence of wireless sensor networks (WSNs) with smart processing ability play an ever-growing role in online condition monitoring of machines. WSNs are cost-effective networking systems for machine condition monitoring. It avoids cable usage and eases system deployment in industry, which leads to significant savings. Powering the nodes is one of the major challenges for a true WSN system, especially when positioned at inaccessible or dangerous locations and in harsh environments. Promising energy harvesting technologies have attracted the attention of engineers because they convert microwatt or milliwatt level power from the environment to implement maintenance-free machine condition monitoring systems with WSNs. The motivation of this review is to investigate the energy sources, stimulate the application of energy harvesting based WSNs, and evaluate the improvement of energy harvesting systems for mechanical condition monitoring. This paper overviews the principles of a number of energy harvesting technologies applicable to industrial machines by investigating the power consumption of WSNs and the potential energy sources in mechanical systems. Many models or prototypes with different features are reviewed, especially in the mechanical field. Energy harvesting technologies are evaluated for further development according to the comparison of their advantages and disadvantages. Finally, a discussion of the challenges and potential future research of energy harvesting systems powering WSNs for machine condition monitoring is made.

Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review.

Internet of Things (IoT) constitutes the next step in the field of technology, bringing enormous changes in industry, medicine, environmental care, and urban development. Various challenges are to be met in forming this vision, such as technology interoperability issues, security and data confidentiality requirements, and, last but not least, the development of energy efficient management systems. In this paper, we explore existing networking communication technologies for the IoT, with emphasis on encapsulation and routing protocols. The relation between the IoT network protocols and the emerging IoT applications is also examined. A thorough layer-based protocol taxonomy is provided, while how the network protocols fit and operate for addressing the recent IoT requirements and applications is also illustrated. What is the most special feature of this paper, compared to other survey and tutorial works, is the thorough presentation of the inner schemes and mechanisms of the network protocols subject to IPv6. Compatibility, interoperability, and configuration issues of the existing and the emerging protocols and schemes are discussed based on the recent advanced of IPv6. Moreover, open networking challenges such as security, scalability, mobility, and energy management are presented in relation to their corresponding features. Lastly, the trends of the networking mechanisms in the IoT domain are discussed in detail, highlighting future challenges.

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Network Protocols, Schemes, and Mechanisms for Internet of Things (IoT): Features, Open Challenges, and Trends

Energy harvesting in wireless sensor networks: A taxonomic survey

Since 2007, the emerging wireless technologies for industrial applications such as wireless highway addressable remote transducer (WirelessHART), and ISA100.11a have been used mainly for process monitoring application only. When gearing toward control application of these technologies a common factor that often being considered is network latency or known as delay. Although the typical network round trip (upstream, and downstream) delays have been reported in recent researches, only few have discussed on the relationship between message payload length and the network induced delays. Therefore, this paper carries out an investigation into the effect of variable payload on the delay of control message sending from controller to plant actuator using the widely preferred industrial wireless technology, WirelessHART.

Latency analysis of WirelessHART control message with variable payload

The paper describes the results of research and development project, within the framework of which a system of partial discharges monitoring of oil-filled current and voltage transformers was developed and investigated. Physically the monitoring system is based on the electrical method of partial discharges (PD) identification, which presupposes registration of the electrical signals that occur in the PD sensors of the PD registration circuit. Given the suppression of interference, the electrical method is the most sensitive for internal insulation of electrical equipment. The paper also provides an overview of modern PD monitoring approaches and describes the scientific and technical rationale for choosing the most effective PD registration approach. The effectiveness of the considered approaches for solving the problems of high-voltage equipment technical state assessment is also analyzed and reported.

The Application of Partial Discharge Monitoring System for Instrument Transformers: Special Issues

The problem of reliable and high-quality power supply to remote and sparsely populated areas introduces significant challenges in the social, technical and economic aspects. The issue of diesel power plants electrical energy supply low efficiency due to the high cost of fuel delivery necessitates the use of renewable energy sources. This kind of power generation has a stochastic nature. Therefore, it is necessary to use adequate solar and wind energy modeling tools to ensure the power supply reliability. This article presents photovoltaic and wind power systems electrical energy production models as a part of microgeneration systems. The use of this systems provides higher cost effectiveness of isolated territories energy supply.

Tran Duc Chung

Papers

Latency analysis of WirelessHART control message with variable payload

The Application of Partial Discharge Monitoring System for Instrument Transformers: Special Issues

Renewable Microgeneration Systems Modeling and Efficiency Evaluation