Fuzzy logic, edge enabled underwater video surveillance through partially wireless optical communication.

Underwater surveillance is inherently tricky to achieve. Even in the clearest waters, the visibility tends to be in the range of tens of meters. Normally, tethered Remotely Operated Vehicles (ROVs) with underwater cameras are used for underwater imaging at closer ranges. Currently, detailed visible light imaging can be achieved utilising green laser technology, and this is limited to close ranges due to the inherent properties of light attenuation in water. The alternative is to utilise sonar based imaging which is capable of visualising distances, however, this technique is vulnerable to noise that interferes with the operating frequency, rendering the applications somewhat limited. The emergence of high data-rate, wireless, optical communication could allow for dense placement of short-range imaging equipment to monitor areas of strategic interest to extend the range, however, there needs to be a reliable method of wirelessly communicating this data to the sea surface regardless of the localised environmental conditions that may interfere with a visible light transmission. This paper proposes a fuzzy logic, edge computing enabled routing algorithm for optical networks that utilises a wired connection among source nodes to "pass" video data around among themselves to decide which seafloor node is best placed to transmit the data according to relative local turbidity, light intensity and sea-life activity, the main factors that hamper a well-considered wireless optical network. From there, a selected node can theoretically transmit the data from the source to the sea-surface through the wireless optical relay network implemented above. This mechanism shows promise in improving link reliability and throughput compared to alternative systems

A simulation into the physical and network layers of optical communication network for the subsea video surveillance of illicit activity.

Criminal activity is increasingly entering the ocean subsurface with acts such as illegal fishing and narco-submarining becoming points of contention. This among other illicit acts taking place in this domain imply a need for surveillance to render these activities apparent. However, subsurface Underwater Sensor Networking which is central to the surveillance is still generations behind terrestrial networking, therefore it is still challenging to monitor for subsurface activities. This is since the current signal transmission standard, acoustic communication, is limited in practical bandwidth and thus channel data-rate, this is, however, caveated with omni-directional propagation and supreme range rendering it reliable but incapable of carrying video or other data intensive sensor information. There is, however, an emerging technology based on optical (visible light) communication that can accommodate surveillance applications with superior data rates and energy savings. This investigation demonstrates how theoretically it is possible to achieve a network of underwater channels capable of sustaining a multimedia feed for monitoring subsurface activity using modern optical communication when in compared to an acoustic network. In addition, a simple topology was investigated that shows how the range limitations of this signaling can be extended by adding floating relay nodes. Through simulations in Network Simulator 3 (NS-3)/Aquasim-NG software it is shown that Visible Light wireless communication in visible light networks have a channel capacity high enough to carry out monitoring in strategic areas, referencing, optical modems that are available in the market. This implies that data-rates of 10 Mb/s are possible for the real-time video surveillance

Multimodal, software defined networking for subsea sensing and monitoring.

The prevalence of oceanic industry and ocean borne interests has given rise to the concept of the Underwater Internet of Things as a vector for automation and data analytics in an environment hostile to anthropomorphic activity. Through the Internet of Underwater Things, it is theorised that sensors along the ocean floor or otherwise can be densely connected to the internet through wireless acoustic or optical links. However, both technologies have significant disadvantages that prevent either becoming a dominant technology. This project proposes a wireless software defined multimodal network infrastructure, that is proven using channel modelling and power analysis calculations, to be capable of robustly transmitting sensor data from source to sink by managing each technology according to its optimal environment. It was found that it is achievable to populate an opto-acoustic network in such a way that Successful Delivery Ratio becomes 90%-100% in clear water whilst achieving a 17% saving in overall energy consumption in a network mounted on a pipeline at 200 m depth when compared to a stand-alone equivalent acoustic network

Exploration of RTP circuit breaker with applications to video streaming.

Live multimedia streaming is becoming one of the dominant sources of internet traffic, much of which is sent over best-effort networks, i.e. along paths with a wide variety of characteristics. The multimedia traffic should be transmitted using a robust and effective congestion control mechanism to protect the network from congestion collapse. The RTP Circuit Breaker (RTP-CB) is a candidate solution that causes a sender to cease transmission when RTCP message feedback indicates excessive congestion. This paper studies RTP/UDP video traffic and the impact of its bursty behaviour on the network. It considers the potential limitations of using a RTP-CB with video traffic. We found that the bursty nature of a typical video flow can cause the RTP-CB to either prematurely cease transmission or to react too late. To reduce the likelihood of this happening, we suggest the use of a smoothing buffer in conjunction with the RTP-CB and propose design criteria for this buffer. Our experiments confirm the effectiveness of the proposed approach for different video streams

Performance and energy modelling for a low energy acoustic network for the underwater Internet of Things.

As the Internet of Things (IoT) continues to find new applications, there is academic and industrial interest in expanding these concepts to the oceanic environment where data is traditionally challenging to communicate wirelessly, establishing an Underwater Internet of Things. One of the main challenges is rendering the network energy efficient to avoid regular retrievals for battery recharging processes, which can be expensive. The work proposes using low powered networks with multiple hops to reduce cost by avoiding the need for large transmitters, transformers and high rated components, thus rendering the technology cheaper and more accessible. The investigation found that even at low transmission powers a robust underwater acoustic network can be developed over hundreds of meters distance between hops, capable of carrying small packets of sensor data commonly used in Internet of Things applications. The successful delivery ratio and the signal-to-noise ratio metrics are used to assess the robustness of the network as a function of power. The analysis demonstrated that lower power levels exhibit higher energy efficiency when compared to their counterparts employing higher powers, aligning with the trends observed in commercial products, consuming significantly less energy than current single hop networks potentially allowing for longer life Underwater Wireless Sensor Networks

Women in circuits and systems (WiCAS) and young professionals (YP) at ICECS 2020.

A 'Women in Circuits and Systems' (WiCAS) event and a 'Young Professionals' (YP) event took place during the 27th Institute of Electrical and Electronics Engineers (IEEE) International conference on electronics circuits and systems (ICECS), the flagship conference for the Region 8 of the IEEE Circuits and Systems Society (CASS). The WiCAS events traditionally aim to inspire and motivate both students and young professionals in the domain of circuits and systems to have efficient roles in their professions, by meeting successful female engineers and professors, through interesting technical and professional talks in fields of interest of CASS. The YP events usually include start-ups presentation, poster and demo sessions, aiming to provide a thrilling environment for early career researchers to present their work. Joining this event, young professionals have the opportunity to learn about state of the art and most advanced activities in the area of circuits and systems, meet and interact with their peers, receive feedback from internationally well-known experts in the CASS domain from both academia and industry

Extremely random forest based automatic tonic-clonic seizure detection using spectral analysis on electroencephalography data.

Machine learning proliferates society and has begun changing medicine. This report covers an investigation into how Extremely Random Forests combined with Fast Fourier Transform feature extraction performed on two-dimensional time-series Epileptic Seizure data from the Bonn/UCI dataset. It found that robust classification can take place with lower channel counts, achieving 99.81% recall, 98.8% precision and 99.35% accuracy, outperforming previous works carried into this scenario

Maximising inductive power transmission using a novel analytical coil design approach.

Maximising power transfer efficiency (PTE) in resonant inductive power transfer (IPT) systems requires strong coupling between transmitter and receiver coils. In applications where system constraints yield a weak inductive link (e.g. significant distance between coils) or there is a requirement for a specific power level, then geometrically optimising the coils can enhance inductive linkage. To achieve this, a novel coil design method has been presented which provides maximum efficiency for both strongly- and loosely-coupled inductive links. A parameter (i.e. "Strong Coupling Factor") has been introduced to assist the design procedure. Discussing results from a practical 1.06 MHz inductive link - developed using the proposed design method - shows that, with proper selection of strong coupling factor (e.g. C=220), the designed coil geometry can provide maximum PTE of 86%. This is in close correlation (F ≈ 3%) with theoretical analysis using MATLAB

Modeling and simulation of heterojunction solar cell; determination of optimal values.

A heterojunction solar cell of ZnSe/ZnO/CIGS/Si structure has been simulated in order to determine the optimal values. The performed modeling and Simulation is used to get an idea and identify the optimal values that can be use in the manufacturing process, and the values obtained in this simulation presented an electrical parameters using Solar Cell Capacitance Simulator (SCAPS). In this study, the influence of absorber or wafer thickness and doping concentration were varied on the solar cell device and the following optimal values were obtained; Current density (Jsc)=35.0833SmA/cm2, Open circuit voltage (Voc)=0.S339V, Fill Factor (FF) =S5.45%, and an efficiency (η)=25%. The range of doping concentration (lx1012 to lx1020 cm−3). These variations lead to the achievement of 25% efficiency of the heterojunction solar cell and the optimal values shows a promising performance that the manufacturers can adopt