The Internet of things (IoT) is still in its infancy and has attracted much interest many industrial sectors including medical fields, logistics tracking, smart cities automobiles. However as a paradigm, it susceptible to range significant intrusion threats. This paper presents threat analysis the IoT uses an Artificial Neural Network (ANN) combat these A multi-level perceptron, type supervised ANN, trained using internet packet traces, then assessed on ability thwart Distributed Denial...

Intrusion detection has attracted a considerable interest from researchers and industries. The community, after many years of research, still faces the problem building reliable efficient IDS that are capable handling large quantities data, with changing patterns in real time situations. work presented this manuscript classifies intrusion systems (IDS). Moreover, taxonomy survey shallow deep networks is based on previous current works. This reviews machine learning techniques their...

As the world moves towards being increasingly dependent on computers and automation, building secure applications, systems networks are some of main challenges faced in current decade. The number threats that individuals businesses face is rising exponentially due to increasing complexity services modern networks. To alleviate impact these threats, researchers have proposed numerous solutions for anomaly detection; however, tools often fail adapt ever-changing architectures, associated...

Machine Learning (ML) and Deep (DL) have been used for building Intrusion Detection Systems (IDS). The increase in both the number sheer variety of new cyber-attacks poses a tremendous challenge IDS solutions that rely on database historical attack signatures. Therefore, industrial pull robust IDSs are capable flagging zero-day attacks is growing. Current outlier-based detection research suffers from high false-negative rates, thus limiting their practical use performance. This paper...

Inspection of rice seeds is a crucial task for plant nurseries and farmers since it ensures seed quality when growing seedlings. Conventionally, this process performed by expert inspectors who manually screen large samples to identify their species assess the cleanness batch. In quest automate screening through machine vision, variety approaches utilise appearance-based features extracted from RGB images while others spectral information acquired using Hyperspectral Imaging (HSI) systems....

Abstract Computational analysis of infant movement has significant potential to reveal markers developmental health. We report two studies employing dynamic analyses motor kinematics and behaviours, which characterise at levels, in 9-month-old infants. investigate the effect preterm birth (< 33 weeks gestation) changing emotional social-interactive contexts still-face paradigm. First, multiscale permutation entropy was employed analyse acceleration kinematic timeseries data collected from...

Body Area Networks (BANs) are an emerging area of wireless personal communications. The IEEE 802.15.6 working group aims to develop a communications standard optimised for low power devices operating on, in or around the human body. specifically targets medical application areas. draft defines two main channel access modes; contention based and free. This paper examines energy lifetime performance free particular periodic scheduled allocations. presents overview analytical model estimating...

Abstract The growth in wirelessly enabled sensor network technologies has the low cost deployment of platforms with applications a range sectors and communities. In agricultural domain such sensors have been foundation for creation decision support tools that enhance farm operational efficiency. This Research Reflection illustrates how these advances are assisting dairy farmers to optimise performance where emerging technology can offer additional benefits. One early at an individual animal...

Particle processing industries, such as pharmaceutical, food and consumer goods sectors, increasingly require strategies to control engineer particle attributes. In both traditional batch continuous processes, size shape need be effectively monitored through in-line measurements from Process Analytical Technologies. However, obtaining quantitative information these has proven challenging imaging techniques are primarily used for qualitative purposes. Two key challenges are: (1) the presence...

The reticuloruminal function is central to the digestive efficiency in ruminants. For cattle, collar- and ear tag-based accelerometer monitors have been developed assess time spent ruminating on an individual animal. Cattle that are ill feed less so ruminate less, thus, estimation of provides insights into health animals. pH boluses directly provide information within rumen extended (three hours or more) periods during which ruminal value remains below 5.6 indicator dysfunction poor welfare...

Efficient processing of particulate products across various manufacturing steps requires that particles possess desired attributes such as size and shape. Controlling the particle production process to obtain required will be greatly facilitated using robust algorithms providing shape information from in situ measurements. However, obtaining during has been a big challenge. This is because problem estimating (aspect ratio) signals provided by in-line measuring tools often ill posed,...

Partial discharge (PD) is regarded as a precursor to plant failure and therefore, an effective indication of condition. Locating the source PD before key efficient maintenance improving reliability power systems. This paper presents low cost, autonomous partial radiolocation mechanism improve localization precision. The proposed radio frequency-based technique uses wavelet packet transform (WPT) machine learning ensemble methods locate PDs. More specifically, received signals are decomposed...

Worldwide, there is a trend towards increased herd sizes, and the animal-to-stockman ratio increasing within beef dairy sectors; thus, time available to monitoring individual animals reducing. The behaviour of cows known change in hours prior parturition, for example, less ruminating eating activity level tail-raise events. These behaviours can be monitored non-invasively using animal-mounted sensors. Thus, behavioural traits are ideal variables prediction calving. This study explored...

Monitoring cattle behaviour is core to the early detection of health and welfare issues optimise fertility large herds. Accelerometer-based sensor systems that provide activity profiles are now used extensively on commercial farms have evolved identify behaviours such as time spent ruminating eating at an individual animal level. Acquiring this information scale central informing on-farm management decisions. The paper presents development a Convolutional Neural Network (CNN) classifies...

The use of supervised Machine Learning (ML) to enhance Intrusion Detection Systems has been the subject significant research. Supervised ML is based upon learning by example, demanding volumes representative instances for effective training and need re-train model every unseen cyber-attack class. However, retraining models in-situ renders network susceptible attacks owing time-window required acquire a sufficient volume data. Although anomaly detection systems provide coarse-grained defence...

Coordinate-based Multilayer Perceptron (MLP) networks, despite being capable of learning neural implicit representations, are not performant for internal image synthesis applications. Convolutional Neural Networks (CNNs) typically used instead a variety generative tasks, at the cost larger model. We propose Knitwork, an architecture representation natural images that achieves by optimizing distribution patches in adversarial manner and enforcing consistency between patch predictions. To best...

This study presents a comprehensive analysis of CO₂ emissions in Glasgow, utilizing dense network Berkeley Environmental Air quality and CO2 Network (BEACON) sensors for the year 2022. The research employs sophisticated model setup, integrating high-resolution meteorological data from Weather Research Forecasting (WRF) with Lagrangian Particle Dispersion footprint modeling. A Bayesian inversion framework  developed by University California, refines prior emission inventory...

Besides size and polymorphic form, crystal shape takes a central role in engineering advanced solid materials for the pharmaceutical chemical industries. This work demonstrates how multiple cycles of growth dissolution can manipulate habit an acetylsalicylic acid population. Considerable changes could be achieved within minutes due to rapid cycling, i.e., up 25 <10 min. The required fast heating cooling rates were facilitated using tubular reactor design allowing superior temperature...

Regulatory requirements for sub-sea oil and gas operators mandates the frequent inspection of pipeline assets to ensure that their degradation damage are maintained at acceptable levels. The process is usually sub-contracted surveyors who utilize Remotely Operated Vehicles (ROVs), launched from a surface vessel piloted over pipeline. ROVs capture data various sensors/instruments which subsequently reviewed interpreted by human operators, creating log event annotations; slow, labor-intensive...

Cloud cover remains a significant limitation to broad range of applications relying on optical remote sensing imagery, including crop identification/yield prediction, climate monitoring, and land classification. A common approach cloud removal treats the problem as an inpainting task imputes data in cloud-affected regions employing either mosaicing historical or making use modalities not impacted by obstructions, such SAR. Recently, deep learning approaches have been explored these...