Optimal sizing of hybrid PV/diesel/battery in ship power system ☆

Under the alternating electrical excitation, biological tissues produce a complex electrical impedance which depends on tissue composition, structures, health status, and applied signal frequency, and hence the bioelectrical impedance methods can be utilized for noninvasive tissue characterization. As the impedance responses of these tissue parameters vary with frequencies of the applied signal, the impedance analysis conducted over a wide frequency band provides more information about the tissue interiors which help us to better understand the biological tissues anatomy, physiology, and pathology. Over past few decades, a number of impedance based noninvasive tissue characterization techniques such as bioelectrical impedance analysis (BIA), electrical impedance spectroscopy (EIS), electrical impedance plethysmography (IPG), impedance cardiography (ICG), and electrical impedance tomography (EIT) have been proposed and a lot of research works have been conducted on these methods for noninvasive tissue characterization and disease diagnosis. In this paper BIA, EIS, IPG, ICG, and EIT techniques and their applications in different fields have been reviewed and technical perspective of these impedance methods has been presented. The working principles, applications, merits, and demerits of these methods has been discussed in detail along with their other technical issues followed by present status and future trends.

/pdf/bioelectrical-impedance-methods-for-noninvasive-health-ouenjlbql6.pdf

Bioelectrical Impedance Methods for Noninvasive Health Monitoring: A Review.

A review on CT image noise and its denoising

Linear Systems, Random Data, Spectra Zero-Memory Nonlinear Systems Bilinear and Trilinear Systems Nonlinear System Input/Output Relationships Square-Law and Cubic Nonlinear Systems Statistical Errors in Nonlinear Estimates Parallel Linear and Nonlinear Systems.

Nonlinear System Analysis and Identification from Random Data

An athletic profile should encompass the physiological, biomechanical, anthropometric and performance measures pertinent to the athlete’s sport and discipline. The measurement systems and procedures used to create these profiles are constantly evolving and becoming more precise and practical. This is a review of strength and ballistic assessment methodologies used in sport, a critique of current maximum strength [one-repetition maximum (1RM) and isometric strength] and ballistic performance (bench throw and jump capabilities) assessments for the purpose of informing practitioners and evolving current assessment methodologies. The reliability of the various maximum strength and ballistic assessment methodologies were reported in the form of intra-class correlation coefficients (ICC) and coefficient of variation (%CV). Mean percent differences $$ \left( {M_{\text{diff}} = \left[ {\frac{{{\mid }X_{{{\text{method}}1}} - X_{{{\text{method}}2}} {\mid }}}{{(X_{{{\text{method}}1}} + X_{{{\text{method}}2}} )}}} \right] \times 100} \right) $$
 and effect size (ES = [X
 method2 − X
 method1] ÷ SDmethod1) calculations were used to assess the magnitude and spread of methodological differences for a given performance measure of the included studies. Studies were grouped and compared according to their respective performance measure and movement pattern. The various measurement systems (e.g. force plates, position transducers, accelerometers, jump mats, optical motion sensors and jump-and-reach apparatuses) and assessment procedures (i.e. warm-up strategies, loading schemes and rest periods) currently used to assess maximum isometric squat and mid-thigh pull strength (ICC > 0.95; CV   0.91; CV   0.82; CV < 6.5 %) were deemed highly reliable. The measurement systems and assessment procedures employed to assess maximum isometric strength [M
 Diff = 2–71 %; effect size (ES) = 0.13–4.37], 1RM strength (M
 Diff = 1–58 %; ES = 0.01–5.43), vertical jump capabilities (M
 Diff = 2–57 %; ES = 0.02–4.67) and bench throw capabilities (M
 Diff = 7–27 %; ES = 0.49–2.77) varied greatly, producing trivial to very large effects on these respective measures. Recreational to highly trained athletes produced maximum isometric squat and mid-thigh pull forces of 1,000–4,000 N; and 1RM bench press, back squat and power clean values of 80–180 kg, 100–260 kg and 70–140 kg, respectively. Mean and peak power production across the various loads (body mass to 60 % 1RM) were between 300 and 1,500 W during the bench throw and between 1,500 and 9,000 W during the vertical jump. The large variations in maximum strength and power can be attributed to the wide range in physical characteristics between different sports and athletic disciplines, training and chronological age as well as the different measurement systems of the included studies. The reliability and validity outcomes suggest that a number of measurement systems and testing procedures can be implemented to accurately assess maximum strength and ballistic performance in recreational and elite athletes, alike. However, the reader needs to be cognisant of the inherent differences between measurement systems, as selection will inevitably affect the outcome measure. The strength and conditioning practitioner should also carefully consider the benefits and limitations of the different measurement systems, testing apparatuses, attachment sites, movement patterns (e.g. direction of movement, contraction type, depth), loading parameters (e.g. no load, single load, absolute load, relative load, incremental loading), warm-up strategies, inter-trial rest periods, dependent variables of interest (i.e. mean, peak and rate dependent variables) and data collection and processing techniques (i.e. sampling frequency, filtering and smoothing options).

A brief review of strength and ballistic assessment methodologies in sport

Linear filtering of 2-D wavelet coefficients for denoising ultrasound medical images

The purpose of this paper is to assess the effect of different noise reduction filters on computed tomography (CT) images. In particular, denoising filters based on the combination of Gaussian and Prewitt operators and on anisotropic diffusion are proposed. Simulation results show that the proposed techniques increase the image quality and allow the use of a low-dose CT protocol.

A Technique to Improve the Image Quality in Computer Tomography

Estimation of ship emissions in the port of Taranto

This paper gives a detailed description of some laboratory practices about Supervisory Control And Data Acquisition (SCADA)/Human to Machine Interface (HMI) systems developed for didactic purposes for various undergraduate courses at 1st Engineering Faculty of Polytechnic of Bari, Department of Electrics and Electronics, Italy. They consider the use of National Instruments' LabVIEWTM with the associated Datalogging and Supervisory Control Toolset (DSC) to develop the SCADA/HMI section (operator's interface and datalogging) of a software simulated industrial plant consisting of a vessel with charge and discharge proportional valves, a heating/cooling element, a level sensor and two flow rate sensors. The control of this plant can be done in two different ways, according to the difficulty level of the practice: by way of a LabVIEW Virtual Instrument (VI, the common name identifying LabVIEW programs) or by way of a ladder program written with RSLogix 500 and emulated by RSLogix Emulate 500 (both are Rockwell Software's products, the first being the ladder code development environment for SLC500 family of industrial programmable logic controllers (PLCs) from Allen Bradley and the second being the related software emulator)

SCADA/HMI Systems in Advanced Educational Courses

The fourth industrial revolution, also known as Industry 4.0, is reshaping the way individuals live and work while providing a substantial influence on the manufacturing scenario. The key enabling technology that has made Industry 4.0 a concrete reality is without doubt collaborative robotics, which is also evolving as a fundamental pillar of the next revolution, the so-called Industry 5.0. The improvement of employees’ safety and well-being, together with the increase of profitability and productivity, are indeed the main goals of human-robot collaboration (HRC) in the industrial setting. The robotic controller design and the analysis of existing decision and control techniques are crucially needed to develop innovative models and state-of-the-art methodologies for a safe, ergonomic, and efficient HRC. To this aim, this paper presents an accurate review of the most recent and relevant contributions to the related literature, focusing on the control perspective. All the surveyed works are carefully selected and categorized by target (i.e., safety, ergonomics, and efficiency), and then by problem and type of control, in presence or absence of optimization. Finally, the discussion of the achieved results and the analysis of the emerging challenges in this research field are reported, highlighting the identified gaps and the promising future developments in the context of the digital evolution. Note to Practitioners—The design and development of manufacturing systems are experiencing substantial changes towards full automation. This ongoing challenge is being tackled by academia and industrial practitioners with the adoption of collaborative robots, where the skills and peculiarities of humans (e.g., intelligence, creativity, adaptability, etc.) and robots (e.g., flexibility, pinpoint accuracy, tirelessness, etc.) are combined to better perform a variety of tasks. Nevertheless, due to their different characteristics, there is an emerging need for designing suitable decision and control techniques to ensure a safe and ergonomic HRC, while keeping the highest level of productivity. Against this background, the aim of this paper is to provide researchers and practitioners with a reference source in the related field, which can help them designing and developing suitable solutions to control problems in safe, ergonomic, and efficient collaborative robotics.

/pdf/control-techniques-for-safe-ergonomic-and-efficient-human-3wsavedx.pdf

G. Cavone

Papers

Linear filtering of 2-D wavelet coefficients for denoising ultrasound medical images

A Technique to Improve the Image Quality in Computer Tomography

Estimation of ship emissions in the port of Taranto

SCADA/HMI Systems in Advanced Educational Courses

Control Techniques for Safe, Ergonomic, and Efficient Human-Robot Collaboration in the Digital Industry: A Survey