Unmanned Aerial Vehicles are becoming part of many industrial applications. The advancements in battery technologies played a crucial for this trend. However, no matter what the are, all batteries have fixed capacity and after some time drain out. In order to extend flying window, prediction that will longer be able support condition is crucial. This fact can cast as standard Remaining Useful Life prognostic problem, similarly encountered fields. article, problem estimation battery, under...

One of the most common deficiencies currently existing induction motor fault diagnosis techniques is their lack automatization. Many them rely on qualitative interpretation results, a fact that requires significant user expertise, and makes implementation in portable condition monitoring devices difficult. In this paper, we present an automated method for detection number broken bars motor. The based transient analysis start-up current using wavelet approximation signal isolates...

Corrosion, fatigue and corrosion-fatigue cracking are the most pervasive types of structural problems experienced by ship structures. These damage modes, can potentially lead to unanticipated out service time or catastrophic failure. Acoustic Emission is gaining ground as a complementary Structural Health Monitoring (SHM) technique, since it offer real-time detection. Deep learning, on other hand, has shown great success over last years for large number applications. In this paper, SHM hulls...

Multiplex fluorescent in situ hybridization M-FISH is a recently developed chromosome imaging technique where each class appears to have distinct color. This not only facilitates the detection of subtle chromosomal aberrations but also makes analysis images easier; both for human inspection and computerized analysis. In this paper, novel method segmentation classification presented. The based on multichannel watershed transform order define regions similar spatial spectral characteristics....

Eventual failures in induction machines may lead to catastrophic consequences terms of economic costs for the companies. The development reliable systems fault detection that enable diagnose a wide range faults is motivation many researchers worldwide. In this context, non-invasive condition monitoring strategies have drawn special attention since they do not require interfering with operation process machine. Though analysis motor currents has proven be reliable, methodology detect some...

Work from our laboratory documents pathological events, including myofiber oxidative damage and degeneration, myofibrosis, micro-vessel (diameter = 50–150 μm) remodeling, collagenous investment of terminal micro-vessels ≤ 15 µm) in the calf muscle patients with Peripheral Artery Disease (PAD). In this study, we evaluate hypothesis that vascular pathology associated legs PAD encompasses pathologic changes to smallest muscle. Biopsies were collected control subjects Fontaine Stage II IV PAD....

Summary Objectives: The aim of the paper is to analyze transient events in inter-ictal EEG recordings, and classify epileptic activity into focal or generalized epilepsy using an automated method. Methods: A two-stage approach proposed. In first stage observed a single channel are classified four categories: spike (ES), muscle (EMG), eye blinking (EOG), sharp alpha (SAA). process based on artificial neural network. Different network architectures have been tried having lowest error has...

Intravascular ultrasound (IVUS) virtual histology (VH-IVUS) is a new technique, which provides automated plaque characterization in IVUS frames, using the backscattered RF-signals. However, its computation can only be performed once per cardiac cycle (ECG-gated technique), significantly decreases number of characterized frames. Also atherosclerotic plaques images that have been acquired by machines, are not equipped with VH software, cannot characterized. To address these limitations, we...

The ever-increasing number of electronic content stored in digital libraries requires a significant amount effort cataloguing and has led to self-deposit solutions where the authors submit publish their own records. Even self-deposit, going through abstract assigning subject terms or keywords is time consuming expensive process, yet crucial for metadata quality record that affects retrieval. Therefore, an automatic, even semi-automatic process can recommend topics new entry huge practical...

This article presents a Convolutional Neural Network (CNN) method to enable autonomous navigation of low-cost Micro Aerial Vehicle (MAV) platforms along dark underground mine environments. The proposed CNN component provides online heading rate commands for the MAV by utilising image stream from on-board camera, thus allowing platform follow collision-free path tunnel axis. A novel part developed consists generation data-set used training CNN. More specifically, inspired single haze removal...

Wildlife conservationists have historically depended on manual methods for the identification and tracking of avian species, to monitor population dynamics discern potential threats. Nonetheless, many these techniques present inherent challenges time constraints. With advancement in computer vision techniques, automated bird detection recognition become possible. This study aimed further advance task detecting wild birds using with drone footage, as well entirely automating process tracking....

M-FISH (multicolor fluorescence in situ hybridization) is a recently developed cytogenetic technique for cancer diagnosis and research on genetic disorders which uses 5 fluors to label uniquely each chromosome fluorescent DNA stain. In this paper, an automated method classification images presented. The image initially decomposed into set of primitive homogeneous regions through the morphological watershed transform applied intensity gradient magnitude. Each segmented area then classified...

The evaluation and ranking of educational institutions are paramount importance to a wide range stakeholders, including students, faculty members, funding organizations, the themselves. Traditional systems, such as those provided by QS, ARWU, THE, have offered valuable insights into university performance employing variety indicators reflect institutional excellence across research, teaching, international outlook, more. However, these linear rankings may not fully capture multifaceted...

Sensorimotor disturbances of the hand such as altered neuromuscular control and reduced proprioception have been reported for various musculoskeletal disorders. This can major impact on daily activities dressing, cooking manual work, especially when involving high demands precision therefore needs to be considered in assessment rehabilitation There is however a lack feasible accurate objective methods movement behavior, including tests, clinic today. The this observational cross- sectional...

Wildlife conservationists have traditionally relied on manual identification and tracking of bird species to monitor populations identify potential threats. However, many these techniques may prove be time-consuming. With the advancement computer vision techniques, automated detection recognition become possible. In this manuscript, we present an application object-detection model for identifying wild in natural environments. We used a dataset images captured trained YOLOv4 detect with high...

In this paper we propose the use of Intelligent Icons for both automatic assessment and representation asynchronous machines' condition. The method focuses on analysis start-up current isolation a component that is able to pinpoint faulty signatures. based application Empirical Mode Decomposition (EMD) which acts as an adaptive filter during start up subsequently Symbolic Aggregate approXimation (SAX) transformation extracted into symbolic representation. Using representation, automated...