The angular dependence of seafloor acoustic backscatter, measured with a 12-kHz multi narrow-beam echo-sounder at two sites in the central North Pacific water depths 1500 and 3100 m, respectively, has been determined for incidence angles between 0° 20°. data consist quadrature samples beamformed echoes received on each 16 2.66° beams Sea Beam echo-sounder. These are subjected to adaptive noise cancelling sidelobe interference rejection, centroid echo is determined. After corrections ship’s...

In this paper neural and statistical classifiers are applied to the problem of seafloor classification. The feature vectors used consist acoustic backscatter as a function angle incidence. Simulated is obtained by employing Helmholtz-Kirchhoff approximation properties bottom reverberation. These synthetic data initially train multilayer perceptrons then test them for their ability discriminate among signal returns produced seafloors with different roughness parameters. same also processed...

One of the main challenges to be confronted by modern health care, so as increase treatment quality, is personalization treatment. The requires continuous reconfiguration and adaptation selected schemes according "current" clinical status each patient circumstances inside a care organization that change rapidly, well updated medical knowledge. In this paper, we present an innovative software environment provides integrated IT solution concerning processes (clinical pathways) during execution...

During the last decades, Dark Web content has risen in necessity an increasingly connected world, where international anonymous networks provide access to data marketplaces and illicit multimedia material through TOR or I2P networks. The motivation behind this paper is gauge current state growth of relation role it plays with special focus on Small Medium-sized Enterprises (SMEs MEs). More specifically, we devise Machine Learning specialised Information Retrieval techniques extract insights...

As scientific achievements in the area of Healthcare have increased during last decade, inevitably there has been an increase treatment quality. One challenges to be confronted is personalization treatment. The requires continuous reconfiguration schemes since clinical status each patient and circumstances inside a healthcare organization constantly change. In this paper we present prototype that provides IT solution concerning real-time adaptation processes. software comprises process...

Multilayer perceptrons trained with the backpropagation algorithm are tested in detection and classification tasks compared to optimal algorithms resulting from likelihood ratio tests. The focus is on problem of one M orthogonal signals a Gaussian noise environment, since both Bayesian detector classifier known for this can provide measure performance evaluation neural networks. Two basic situations considered: classification. For part, it was observed that signal-known-exactly case (M=1),...

A seafloor classification methodology, based on a parameterization of the reverberation probability density function in conjunction with neural network classifiers, is evaluated through computer simulations. Different provides are represented by number scatterer distributions exhibiting various degrees departure from nominal Poisson distribution. Using simulation program, these were insonified at different spatial scales varying transmitted pulse length. The statistical signature obtained...

The point scattering model offers a parameterization of the reverberation probability density function (pdf) in terms coefficient excess (kurtosis) and coherent component represented by harmonic process with random phase. In this paper potential utility parametrization is investigated context seafloor characterization. problem separating out effect each parameter discussed. Computer simulations are used to verify predictions on quadrature, envelope, phase pdf. As part verification study,...

The optimal design and performance analysis of nonuniform quantizers are considered in the context data quantization detection systems for stochastic signals. case with small signal-to-noise ratio is treated using two different statistical models presence signal this situation. A general data-quantized system proposed, analytical expressions presented asymptotic comparison such within each models. procedure choice quantizer parameters as also discussed, parameter values particular four-level...

E-Health systems' interoperability constitutes one of the main challenges IT society. will not occur without a shared policy and process framework that support appropriate business collaboration models provide sustainable environment in which interoperable solutions can be created, deployed, managed. Coordinated interactions require common understanding function even though alternative delivery mechanisms channels may employed. In healthcare context, patient visits various organizations or...

An adaptive noise cancelling (ANC) technique involving a joint-process deterministic least-squares lattice filter was applied to the Sea Beam bathymetric survey system data. The filtering scheme used in adversely affects underlying acoustic return and may also lead artifacts. authors investigate possible remedy for this sidelobe interference problem offered by ANC coupled with signal preservation, provided both amplitude phase information. is of choice because its superior transit response...

Two design criteria for the quantization of signal-detection data are considered. These criteria, one which is based on asymptotic efficiency and other a mean-squared error quantity, shown to be closely related quantizer in general parametric decision framework.

The emergence of the Industrial Internet Things paves way for enhancing real-time monitoring capabilities contemporary manufacturing enterprises through extensive utilization physical and virtual sensors. This paradigm enables detection early warning signals concerning systems' degradation facilitates prompt decision making actions performed ahead time. Currently, even large companies have not yet developed a complete Predictive Maintenance strategy appropriate sensor-driven, systems in...

The increase of treatment quality offered by the healthcare organizations is one main challenges modern health informatics. personalization presupposes real-time adaptation schemes since clinical status patient and circumstances inside a organization constantly change. In this paper we present SEMPATH prototype which aims at providing solution concerning business processes. consists process execution engine assisted semantic framework for adaptation. an ontology enclosing required knowledge...

Active, wideband detection and localization of targets in a dense multipath environment is approached via optimal estimation theory conjunction with received signal model described by weighted, delayed, phase-shifted replicas the transmitted signal. These parameters are known to vary acoustic medium properties including sound-speed profile, bottom composition topography, sea surface state. The optimum receiver time domain processor based on statistical parameters. An propagation drives...

A seafloor classification methodology, based on a parametrization of the reverberation probability den­ sity function in conjunction with neural net classifiers, is evaluated through computer simulations. Different provinces are represented by number scatterer distributions exhibiting various degrees de­ parture from nominal Poisson distribution. Using simulation program REVGEN/SST, these were insonified at different spatial scales varying transmitted pulse length. The statisti­ cal...

The management of aviation data is a great challenge in the industry, as they are complex and can be derived from heterogeneous sources. To handle this challenge, ontologies applied to facilitate modelling across multiple This paper presents an domain ontology, ICARUS which aims at facilitating semantic description integration information resources that represent various assets platform their use. present functionality usability proposed we results querying ontology using SPARQL queries...

During the last decades, dark web has become ground for criminal activities, enabling illegal content sharing, as well marketplaces selling drugs and firearms. The 2023 Internet Organised Crime Threat Assessment (IOCTA) of Europol's European Cybercrime Centre (EC3) presented one top crime ecosystems. Analyzing .onion sites hosting is interest to law enforcement, security researchers, big data analysts. capability automatically harvesting from servers enables Law Enforcement Agencies (LEAs)...

A dramatic increase of demand for provided treatment quality has occurred during last decades. The main challenge to be confronted, so as quality, is the personalization treatment, since each patient constitutes a unique case. Healthcare provision encloses complex environment healthcare organizations are highly multidisciplinary. In this paper, we present conceptualization domain Clinical Pathways. SEMPATH Ontology comprises three parts: a) Pathway part, b) Business & Finance part and c)...

As scientific achievements in the area of Healthcare have evolved during last decade, inevitably there has been an increase treatment quality. One challenges to be confronted is personalization since each patient constitutes a unique case. The requires continuous reconfiguration schemes clinical status and circumstances inside healthcare organization constantly change. In this paper we present holistic software environment that provides IT solution concerning real-time adaptation processes....

The emergence of the Industrial Internet Things paves way for enhancing real-time monitoring capabilities contemporary factories. This can be materialised through sensors collecting data which further analysed. paradigm enables detection indicators concerning systems' degradation and facilitates corrective actions to performed ahead time. In this paper, we propose a damage prediction framework exploiting that are coming from core IT system in steel industry use case. novelty our approach...

Bathymetric sidescan sonar systems offer the potential for high-resolution mapping of ocean bottom at a substantial reduction in survey cost because their relative simplicity combined with improved area coverage over multibeam bathymetric currently use. However, data obtained to date from are not considered sufficiently accurate meet required hydrographic standards. We have used REVGEN, realistic simulation program, study performance limitations such systems. Here, we report on statistical...

The sensitivity of conventional matched-field processing algorithms to uncertainty in ocean acoustic environmental parameters has prompted the design more robust methods for source localization. In a recent study, Richardson and Nolte [J. Acoust. Soc. Am. 89, 2280–2284 (1991)] reported on development new algorithm which incorporates prior knowledge into algorithm. result was optimum uncertain field processor (OUFP). present study addresses problem localization an imperfectly known scattering...