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Journal articles on the topic 'Power tools - Noise control'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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1

Zaher, M. A. "Quiet! Okay, But How?" Mechanical Engineering 121, no. 04 (1999): 70–71. http://dx.doi.org/10.1115/1.1999-apr-6.

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This article focuses on pneumatic tools that are among the most damaging sources of noise pollution. The National Institute for Occupational Safety and Health estimates that more than 30 million workers in the United States are exposed to hazardous noise, costing the economy about $1 billion every year. There is no magic solution to all noise control problems, and this remains true even when we are dealing just with pneumatic tools. Each case must be considered separately, and the solution to be used must satisfy the often conflicting demands of at least five criteria simultaneously. The sound

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Harahap, Juliansyah. "Penentuan Tingkat Kebisingan Pada Area Pengolahan Sekam Padi, Siltstone Crusher, Cooler Dan Power Plant Pada PT Lafarge Cement Indonesia-Lhoknga Plant." Elkawnie 2, no. 2 (2016): 127. http://dx.doi.org/10.22373/ekw.v2i2.2658.

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This research conducted in PT. Lafarge Cement Indonesia which is one of company whose field in cement production located in western Indonesia region, exact place in Aceh province. The aimed of this research are to know about noise levels in some production areas of PT. Lafarge Cement Indonesia Lhoknga plant and define anticipation actions to the effect of existing noice level based on Hierarchy of Control (HoC). Used method in this research are measuring method with sampling points where measurement conducted if the noise suspected over the threshold limit by conducting noise sampling just ont

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Maiza, M., A. Bengoechea, P. Grau, et al. "Add Control: plant virtualization for control solutions in WWTP." Water Science and Technology 68, no. 2 (2013): 296–302. http://dx.doi.org/10.2166/wst.2013.225.

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This paper summarizes part of the research work carried out in the Add Control project, which proposes an extension of the wastewater treatment plant (WWTP) models and modelling architectures used in traditional WWTP simulation tools, addressing, in addition to the classical mass transformations (transport, physico-chemical phenomena, biological reactions), all the instrumentation, actuation and automation & control components (sensors, actuators, controllers), considering their real behaviour (signal delays, noise, failures and power consumption of actuators). Its ultimate objective is to

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Andric, Tomislav, and Jan Harms. "Lightsaber: A Simulator of the Angular Sensing and Control System in LIGO." Galaxies 9, no. 3 (2021): 61. http://dx.doi.org/10.3390/galaxies9030061.

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The suspended test masses of gravitational-wave (GW) detectors require precise alignment to be able to operate the detector stably and with high sensitivity. This includes the continuous counter-acting of seismic disturbances, which, below a few Hertz, are not sufficiently reduced by the seismic isolation system. The residual angular motion of suspended test masses is further suppressed by the Angular Sensing and Control (ASC) system. However, in doing so, the angular motion can be enhanced by the ASC at higher frequencies where the seismic isolation system is very effective. This has led to s

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D’Arrigo, Antonio, Giuseppe Falci, and Elisabetta Paladino. "Quantum Sensing 1/f Noise via Pulsed Control of a Two-Qubit Gate." Proceedings 12, no. 1 (2019): 29. http://dx.doi.org/10.3390/proceedings2019012029.

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Dynamical decoupling sequences are a convenient tool to reduce decoherence due to intrinsic fluctuations with 1 / f power spectrum hindering quantum circuits. We study the possibility to achieve an efficient universal two-qubit gate in the presence of 1 / f noise by periodic and Carr-Purcell dynamical decoupling. The high degree of selectivity achieved by these protocols also provides a valuable tool to infer noise characteristics, as the high-frequency cut off and the noise variance. Different scalings of the gate error with noise variance signal the contribution of different noise statistica

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Noei, Shirin, Mohammadreza Parvizimosaed, and Mohammadreza Noei. "Longitudinal Control for Connected and Automated Vehicles in Contested Environments." Electronics 10, no. 16 (2021): 1994. http://dx.doi.org/10.3390/electronics10161994.

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The Society of Automotive Engineers (SAE) defines six levels of driving automation, ranging from Level 0 to Level 5. Automated driving systems perform entire dynamic driving tasks for Levels 3–5 automated vehicles. Delegating dynamic driving tasks from driver to automated driving systems can eliminate crashes attributed to driver errors. Sharing status, sharing intent, seeking agreement, or sharing prescriptive information between road users and vehicles dedicated to automated driving systems can further enhance dynamic driving task performance, safety, and traffic operations. Extensive simula

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Tambouratzis, Tatiana, John Giannatsis, Andreas Kyriazis, and Panayiotis Siotropos. "Applying the Computational Intelligence Paradigm to Nuclear Power Plant Operation." International Journal of Energy Optimization and Engineering 9, no. 1 (2020): 27–109. http://dx.doi.org/10.4018/ijeoe.2020010102.

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In the guise of artificial neural networks (ANNs), genetic/evolutionary computation algorithms (GAs/ECAs), fuzzy logic (FL) inference systems (FLIS) and their variants as well as combinations, the computational intelligence (CI) paradigm has been applied to nuclear energy (NE) since the late 1980s as a set of efficient and accurate, non-parametric, robust-to-noise as well as to-missing-information, non-invasive on-line tools for monitoring, predicting and overall controlling nuclear (power) plant (N(P)P) operation. Since then, the resulting CI-based implementations have afforded increasingly r

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Wunsch, Bernhard, Stanislav Skibin, Ville Forsström, and Ivica Stevanovic. "EMC Component Modeling and System-Level Simulations of Power Converters: AC Motor Drives." Energies 14, no. 6 (2021): 1568. http://dx.doi.org/10.3390/en14061568.

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EMC simulations are an indispensable tool to analyze EMC noise propagation in power converters and to assess the best filtering options. In this paper, we first show how to set up EMC simulations of power converters and then we demonstrate their use on the example of an industrial AC motor drive. Broadband models of key power converter components are reviewed and combined into a circuit model of the complete power converter setup enabling detailed EMC analysis. The approach is demonstrated by analyzing the conducted noise emissions of a 75 kW power converter driving a 45 kW motor. Based on the

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Modini, Sara, Giorgio Graziani, Giovanni Bernardini, and Massimo Gennaretti. "Blade-Vortex Interaction Noise Controller Based on Miniature Trailing Edge Effectors." International Journal of Acoustics and Vibration 23, No 3, September 2018 (2018): 378–84. http://dx.doi.org/10.20855/ijav.2018.23.31313.

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The present work focuses on the alleviation of Blade Vortex Interaction (BVI) noise annoyance through a control methodology generating high-frequency aerodynamic BVI counter-actions. The low-power requirements make the Micro-Trailing Edge Effectors (MiTEs) particularly suited for this kind of application. The controller layout is set by observing the BVI scenario while the actuation law is efficiently synthesized through a process based on an analytical unsteady sectional aerodynamic formulation. The validation of the proposed control methodology is carried out through numerical investigations

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Sellappan, Elancheliyan. "Noise Effects of Generator Sets at Construction Sites." International Journal of Occupational Safety and Health 3, no. 2 (2014): 12–17. http://dx.doi.org/10.3126/ijosh.v3i2.6145.

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Noise and vibration can be the cause of serious disturbance and inconvenience to anyone exposed to them and in certain circumstances noise and vibration can be a serious hazard to health, causing permanent damage to hearing system. Noise exposure levels of construction workers are difficult to determine due to the day to-day variation in occupation and shift length of each worker and the itinerant and seasonal nature of the job. Nevertheless, it is clear that the construction worker is exposed to very high sound levels for considerable lengths of time. Different types and sizes of equipment's,

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Freitas, Luis Miguel Carvalho, and Fernando Morgado-Dias. "Design Improvements on Fast, High-Order, Incremental Sigma-Delta ADCs for Low-Noise Stacked CMOS Image Sensors." Electronics 10, no. 16 (2021): 1936. http://dx.doi.org/10.3390/electronics10161936.

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Modern CMOS imaging devices are present everywhere, in the form of line, area and depth scanners. These image devices can be used in the automotive field, in industrial applications, in the consumer’s market, and in various medical and scientific areas. Particularly in industrial and scientific applications, the low-light noise performance or the high dynamic-range features are often the cases of interest, combined with low power dissipation and high frame rates. In this sense, the noise floor performance and the power consumption are the focus of this work, given that both are interlinked and

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Kalt, Svenja, Jonathan Erhard, and Markus Lienkamp. "Electric Machine Design Tool for Permanent Magnet Synchronous Machines and Induction Machines." Machines 8, no. 1 (2020): 15. http://dx.doi.org/10.3390/machines8010015.

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The rising mobility demand of today’s society leads to an increasing strain of noise and pollutant emissions on people and the environment. An increasing environmental awareness and the scarcity of fossil fuels are increasingly placing alternative-powered vehicles in the focus of politics, research and development. Electric vehicles represent a promising solution to this problem. The electric machine represents a design control lever for the optimization of the electric powertrain with regard to efficiency, power, weight and size. Therefore, accurate and realistic machine design tools for the

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Mannam, Rayudu. "DEVELOPMENT OF AN EFFICIENT SMART GRID WITH ERROR CONTROL ALGORITHM." Journal of Electrical Engineering and Automation 01, no. 01 (2019): 1–11. http://dx.doi.org/10.36548/jeea.2019.1.001.

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The in capabilities of the current power grid in distributing monitoring and managing due to the rising needs in the energy consumption and the aging infrastructure of the prevailing power grid, has led to the emergence of the grid that is smart in managing distributing and monitoring . The smart grid incorporating controls, computer, automation along innovative technologies and tools are able to provide an enhanced performance by being extra proficient, secure, reliable and greener. The smart grid also provides with the two way communication between the users and the utilities on the terms of

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Ashraf, Waqar Muhammad, Ghulam Moeen Uddin, Muhammad Farooq, et al. "Construction of Operational Data-Driven Power Curve of a Generator by Industry 4.0 Data Analytics." Energies 14, no. 5 (2021): 1227. http://dx.doi.org/10.3390/en14051227.

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Constructing the power curve of a power generation facility integrated with complex and large-scale industrial processes is a difficult task but can be accomplished using Industry 4.0 data analytics tools. This research attempts to construct the data-driven power curve of the generator installed at a 660 MW power plant by incorporating artificial intelligence (AI)-based modeling tools. The power produced from the generator is modeled by an artificial neural network (ANN)—a reliable data analytical technique of deep learning. Similarly, the R2.ai application, which belongs to the automated mach

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Gryboś, Dominik, Jacek S. Leszczyński, Dorota Czopek, and Jerzy Wiciak. "Exhaust Noise Reduction by Application of Expanded Collecting System in Pneumatic Tools and Machines." Energies 14, no. 6 (2021): 1592. http://dx.doi.org/10.3390/en14061592.

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In this paper, we demonstrate how to reduce the noise level of expanded air from pneumatic tools. Instead of a muffler, we propose the expanded collecting system, where the air expands through the pneumatic tube and expansion collector. We have elaborated a mathematical model which illustrates the dynamics of the air flow, as well as the acoustic pressure at the end of the tube. The computational results were compared with experimental data to check the air dynamics and sound pressure. Moreover, the study presents the methodology of noise measurement generated in a pneumatic screwdriver in a q

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Iannace, Gino, Giuseppe Ciaburro, and Amelia Trematerra. "Wind Turbine Noise Prediction Using Random Forest Regression." Machines 7, no. 4 (2019): 69. http://dx.doi.org/10.3390/machines7040069.

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Wind energy is one of the most widely used renewable energy sources in the world and has grown rapidly in recent years. However, the wind towers generate a noise that is perceived as an annoyance by the population living near the wind farms. It is therefore important to new tools that can help wind farm builders and the administrations. In this study, the measurements of the noise emitted by a wind farm and the data recorded by the supervisory control and data acquisition (SCADA) system were used to construct a prediction model. First, acoustic measurements and control system data have been an

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Yoon, Iljung, Heewon Joung, and Jooheung Lee. "Zynq-Based Reconfigurable System for Real-Time Edge Detection of Noisy Video Sequences." Journal of Sensors 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/2654059.

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We implement Zynq-based self-reconfigurable system to perform real-time edge detection of 1080p video sequences. While object edge detection is a fundamental tool in computer vision, noises in the video frames negatively affect edge detection results significantly. Moreover, due to the high computational complexity of 1080p video filtering operations, hardware implementation on reconfigurable hardware fabric is necessary. Here, the proposed embedded system utilizes dynamic reconfiguration capability of Zynq SoC so that partial reconfiguration of different filter bitstreams is performed during

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Vazquez, Jon, Jose Felix Miñambres, Miguel Angel Zorrozua, and Jorge Lázaro. "Phasor Estimation of Transient Electrical Signals Composed of Harmonics and Interharmonics." Energies 14, no. 16 (2021): 5166. http://dx.doi.org/10.3390/en14165166.

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Numerical relays have become essential tools for carrying out the protection and surveillance tasks of electrical power systems. These relays implement their functions from the phasors of the electrical network signals, estimated by digital processing using digital filters. Digital filters must meet certain requirements, such as providing a fast and effective response to increasingly complex transient signals made up of components that make the estimation process difficult. In addition to the decreasing exponential (decaying dc offset), harmonics, and signal noise, it must be added that the in

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Zhou, Mingyue, Matias Sessarego, Hua Yang, and Wen Zhong Shen. "Development of an Advanced Fluid-Structure-Acoustics Framework for Predicting and Controlling the Noise Emission from a Wind Turbine under Wind Shear and Yaw." Applied Sciences 10, no. 21 (2020): 7610. http://dx.doi.org/10.3390/app10217610.

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Noise generated from wind turbines is a big challenge for the wind energy industry to develop further onshore wind energy. The traditional way of reducing noise is to design low noise wind turbine airfoils and blades. A wind turbine operating under wind shear and in yaw produces periodic changes of blade loading, which intensifies the amplitude modulation (AM) of the generated noise, and thus can give more annoyance to the people living nearby. In this paper, the noise emission from a wind turbine under wind shear and yaw is modelled with an advanced fluid-structure-acoustics framework, and th

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Suginama, Putu Ardiya, and I. Made Kerta Duana. "HIPERTENSI PADA PEKERJA TERPAPAR BISING DI PT INDONESIA POWER UBP BALI 2015." ARCHIVE OF COMMUNITY HEALTH 6, no. 1 (2019): 40. http://dx.doi.org/10.24843/ach.2019.v06.i01.p06.

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ABSTRAK Hipertensi adalah salah satu gangguan kesehatan yang disebabkan oleh berbagai faktor, salah satunya adalah paparan bising. Tenaga kerja di unit pembangkit listrik merupakan salah satu profesi yang berisiko mengalami hipertensi. Tujuan penelitian ini adalah untuk mengetahui gambaran kejadian hipertensi berdasarkan karakteristik (umur, pendidikan dan masa kerja), kepatuhan penggunaan APT, jarak paparan dan paparan bising. Desain penelitian yang digunakan adalah cross sectional study. Teknik pengambilan sampel menggunakan simpel random sampling, dengan jumlah sampel sebanyak 79 tena

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Ushakov, I. B., A. V. Bogomolov, S. P. Dragan, and S. K. Soldatov. "Methodological Foundations of the Personalized Acoustic Monitoring." Occupational Safety in Industry, no. 10 (October 2020): 33–39. http://dx.doi.org/10.24000/0409-2961-2020-10-33-39.

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Methodological foundations of the personalized acoustic monitoring of the occupational safety in industry are stated. Developed personalized acoustic environment indicators of hazard are described. They ensure real-time monitoring and assessment of hazard of the acoustic environment in the entire standardized frequency range of industrial and transport noise. Typical personalized indicator of hazard of the acoustic environment consists of a meter, a signal and information board, a microprocessor, a switch, permanent and operational memory devices, various blocks: power supply, amplifiers, filt

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Ribeiro, Mafalda, Pamela Ali, Benjamin Metcalfe, Despina Moschou, and Paulo R. F. Rocha. "Microfluidics Integration into Low-Noise Multi-Electrode Arrays." Micromachines 12, no. 6 (2021): 727. http://dx.doi.org/10.3390/mi12060727.

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Organ-on-Chip technology is commonly used as a tool to replace animal testing in drug development. Cells or tissues are cultured on a microchip to replicate organ-level functions, where measurements of the electrical activity can be taken to understand how the cell populations react to different drugs. Microfluidic structures are integrated in these devices to replicate more closely an in vivo microenvironment. Research has provided proof of principle that more accurate replications of the microenvironment result in better micro-physiological behaviour, which in turn results in a higher predic

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Thanh, Toi Le, Lac Truong Tri, and Trang Hoang. "Low power circuit design using NCL based asynchronous method." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (2021): 1284. http://dx.doi.org/10.11591/ijeecs.v22.i3.pp1284-1294.

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The null convention logic (NCL) based circuit design methodology eliminates the problems related to noise, clock tree, electromagnetic interference and also reduces significant power consumption. In this paper, we would like to demonstrate the advantage of low power consumption of the NCL based asynchronous circuit design on a large design scale, thus we used the advanced encryption standard (AES) encryption design as an illustrative example. In addition, we also proposed two pipelined AES encryption models using the synchronous circuit design technique and the asynchronous circuit design tech

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Booma, Nagarajan, S. Rama Reddy, and M. Beryl. "Design and Simulation of Energy Efficient Fixed Frequency Pulse Controlled Power Converter for Induction Melting Application." Advanced Materials Research 768 (September 2013): 404–10. http://dx.doi.org/10.4028/www.scientific.net/amr.768.404.

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This paper discusses the design and simulation of pulse width modulated based circuit for induction melting application. This high frequency inverter topology have the practical advantages of energy saving, clean environment, high output power due to low switching losses, less electromagnetic noise and low total harmonic distortion. This two stage power converter has single phase full bridge rectifier, DC filter, zero voltage switching pulse width modulation controlled high frequency inverter. In this work, the steady state operation and control strategy of pulse width modulated high frequency

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Iannace, Gino, Amelia Trematerra, and Giuseppe Ciaburro. "Case study: Automated recognition of wind farm sound using artificial neural networks." Noise Control Engineering Journal 68, no. 2 (2020): 157–67. http://dx.doi.org/10.3397/1/376814.

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Wind energy has been one of the most widely used forms of energy since ancient times, with it being a widespread type of clean energy, which is available in mechanical form and can be efficiently transformed into electricity. However, wind turbines can be associated with concerns around noise pollution and visual impact. Modern turbines can generate more electrical power than older turbines even if they produce a comparable sound power level. Despite this, protests from citizens living in the vicinity of wind farms continue to be a problem for those institutions which issue permits. In this ar

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Stein, J. L., and Churn-Hway Wang. "Analysis of Power Monitoring on AC Induction Drive Systems." Journal of Dynamic Systems, Measurement, and Control 112, no. 2 (1990): 239–48. http://dx.doi.org/10.1115/1.2896131.

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The performance of AC induction motor drive systems as torque sensors is evaluated. Their potential for monitoring tool wear or breakage as well as machine component failure is discussed. A bond graph model of the motor and drive train is developed to determine the relation between electric motor power consumption and the applied torques and to identify the machine components that dominate this dynamic relation. The model, as applied to a CNC milling machine spindle system, shows (1) that the rotor input power is linearly related to both static and dynamic cutting torques under normal process

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Claus, Caroline, and Burak Pak. "Studio_ L28: From a Socially Engaged Sound Art Practice to an Open Training Ground for Sonic Design Experimentation." SHS Web of Conferences 64 (2019): 02004. http://dx.doi.org/10.1051/shsconf/20196402004.

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This paper reflects the preliminary findings of a PhD research on the spatial politics and potentials of noise and vibration, and the affective or attractive and repulsive power of sonic force. We focus on the public space of a railway area in transformation in Brussels, where sonic conflicts are prevalent. To explore the affordances of a sonic urbanism as critical spatial practice and thus to break free from prevailing modes of urbanism which focus on sonic risk and vibrational nuisance − we constitute a working practice exploiting and nurturing the productive encounters between disciplines s

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Slaven, Sean E., Benjamin M. Wheatley, Daniel L. Christensen, Sameer K. Saxena, and Robert J. McGill. "Repeated Noise Exposure Does Not Reach Hazardous Levels During Total Joint Arthroplasty." Military Medicine 185, no. 9-10 (2020): e1551-e1555. http://dx.doi.org/10.1093/milmed/usaa102.

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Abstract Introduction Noise exposure is an occupational health concern for certain professions, especially military servicemembers and those using power tools on a regular basis. The purpose of this study was to quantify noise exposure during total hip arthroplasty (THA) and total knee arthroplasty (TKA) cases compared to the recommended standard for occupational noise exposure. Materials and Methods A sound level meter was used to record cumulative and peak noise exposure levels in 10 primary THA and 10 primary TKA surgeries, as well as 10 arthroscopy cases as controls. Measurements at the di

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Ramos de Mello, Felipe, William D'Andrea Fonseca, and Paulo Henrique Mareze. "MEMS digital microphone and Arduino compatible microcontroller: an embedded system for noise monitoring." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (2021): 3921–32. http://dx.doi.org/10.3397/in-2021-2557.

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Noise assessment and monitoring are essential parts of an acoustician's work since it helps to understand the environment and propose better solutions for noise control and urban noise management. Traditionally, equipment to carry out this task is standardized, and, eventually, expensive for the early career professional. This work develops a high-quality (and cost-effective) prototype for an embedded noise monitoring device based upon a digital I2S MEMS microphone and an Arduino compatible microcontroller, named Teensy. Its small size and low power consumption are also advantages designed for

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Thornton, Richard, Tracy Clark, and Ken Stevens. "MagneMotion Maglev System." Transportation Research Record: Journal of the Transportation Research Board 1838, no. 1 (2003): 50–57. http://dx.doi.org/10.3141/1838-07.

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The MagneMotion Maglev system, called M3, is an alternative to all conventional guided transportation systems. Advantages include major reductions in capital cost, travel time, operating cost, noise, and energy consumption. Vans or small-bus size vehicles operating automatically with headways of only a few seconds can be moved in platoons to achieve capacities of at least 12,000 passengers per hour per direction. Small vehicles lead to lighter guideways, shorter waiting time for passengers, lower power requirements for wayside inverters, more effective regenerative braking, and reduced station

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Hu, Yao Bin, Jing Xie, and Liang Bin Hu. "Linear Motor Direct Drive Key Technology Problems and the Solution Countermeasures." Applied Mechanics and Materials 411-414 (September 2013): 3052–55. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.3052.

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Linear motor direct drive with the advantages of simple structure, fast dynamic response, high precision, high speed, big acceleration, small noise and vibration, is the ideal transmission for all kinds of ultra-high speed and precision machine tool. This paper introduces the working principle and performance features of linear motors, and elaborates on the key technology problems and the solution countermeasures of seven aspects including the efficiency and the power factor, the cooling measure, the normal magnetic attraction, the servo-control, magnetism isolation and the protection, the gra

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Yi, C., P. Dietz, and X. Hu. "Vibrational power flow in beam-plate structures with isolation components." Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering 212, no. 2 (1998): 89–99. http://dx.doi.org/10.1243/0954408981529330.

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This paper presents the expressions for the vibrational power flow (VPF) in beam-plate structures (BPSs) with isolation components for three different cases: case 1 is when the isolation component 1 (IC1) is added at the free end of the beam; case 2 is when the isolation component 2 (IC2) is embedded between the beam and the plate; case 3 is when IC1 is at the end of the beam, and IC2 is between the beam and the plate (IC1,2). The BPS is composed of a constant-cross-section beam and a thin flat rectangular plate with four edges simply supported. According to these expressions the corresponding

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Wang, Yizhi, Congchao Wang, Petter Ranefall, et al. "SynQuant: an automatic tool to quantify synapses from microscopy images." Bioinformatics 36, no. 5 (2019): 1599–606. http://dx.doi.org/10.1093/bioinformatics/btz760.

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Abstract Motivation Synapses are essential to neural signal transmission. Therefore, quantification of synapses and related neurites from images is vital to gain insights into the underlying pathways of brain functionality and diseases. Despite the wide availability of synaptic punctum imaging data, several issues are impeding satisfactory quantification of these structures by current tools. First, the antibodies used for labeling synapses are not perfectly specific to synapses. These antibodies may exist in neurites or other cell compartments. Second, the brightness of different neurites and

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Ortega-Gil, Manuela, Georgina Cortés-Sierra, and Chaima ElHichou-Ahmed. "The Effect of Environmental Degradation, Climate Change, and the European Green Deal Tools on Life Satisfaction." Energies 14, no. 18 (2021): 5839. http://dx.doi.org/10.3390/en14185839.

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Environmental issues, sustainability, and climate change have become the targets of many policies from international and governmental organizations including the EU’s European Green Deal action plan. This plan provides tools to address them—which include support for the circular economy, implementation of energy and environmental taxes, and investment in environmental protection—with the aim of favoring the well-being of EU citizens. In this context, this study analyses the impact of several parameters (environmental matters, global warming, circular economy, energy and environmental taxes, an

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Kong, Yaguang, Xuyang Tao, and Zhangpin Chen. "Sound field measurement and evaluation research for radiated acoustic fields in amplitude-variable sonochemical systems." Measurement and Control 52, no. 9-10 (2019): 1499–507. http://dx.doi.org/10.1177/0020294019877488.

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The content of this study is based on the background of sonochemistry processes. First, the hydrophone is used to measure the sound pressure in the reactor (the experimental ultrasonic frequency range is 20 ± 1 kHz). The sound pressure signals are processed by threshold method, Kalman filter algorithm, and five-point three-time smoothing method. These methods eliminate singular items in the sound pressure signal, filter noise, smooth burrs, and so on. In addition, the sound intensity value is calculated by dual hydrophone method. In this paper, the average intensity of ultrasonic cavitation is

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Yohana, Elimboto, Yin-Zhe Ma, Di Li, Xuelei Chen, and Wei-Ming Dai. "Recovering the 21-cm signal from simulated FAST intensity maps." Monthly Notices of the Royal Astronomical Society 504, no. 4 (2021): 5231–43. http://dx.doi.org/10.1093/mnras/stab1197.

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ABSTRACT The 21-cm intensity mapping (IM) of neutral hydrogen (H i) is a promising tool to probe the large-scale structures. Sky maps of 21-cm intensities can be highly contaminated by various foregrounds, such as Galactic synchrotron radiation, free–free emission, extragalactic point sources, and atmospheric noise. Here we present a model of foreground components and a method of removal, in particular to quantify the potential of the Five-hundred-meter Aperture Spherical radio Telescope (FAST) for measuring H i IM. We consider a 1-yr observational time with a survey area of $20\,000\, {\rm de

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Saxena, Akash, and Ankit Kumar Sharma. "Assessment of Global Voltage Stability Margin through Radial Basis Function Neural Network." Advances in Electrical Engineering 2016 (September 29, 2016): 1–11. http://dx.doi.org/10.1155/2016/4858431.

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Dynamic operating conditions along with contingencies often present formidable challenges to the power engineers. Decisions pertaining to the control strategies taken by the system operators at energy management centre are based on the information about the system’s behavior. The application of ANN as a tool for voltage stability assessment is empirical because of its ability to do parallel data processing with high accuracy, fast response, and capability to model dynamic, nonlinear, and noisy data. This paper presents an effective methodology based on Radial Basis Function Neural Network (RBF

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Zaccarelli, Riccardo, Dino Bindi, and Angelo Strollo. "Anomaly Detection in Seismic Data–Metadata Using Simple Machine-Learning Models." Seismological Research Letters 92, no. 4 (2021): 2627–39. http://dx.doi.org/10.1785/0220200339.

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Abstract In modern seismological analysis, it is not unusual to process huge amounts of data, as illustrated by two case studies exemplified in this work, both assessing the quality of several millions of segments selected for computing local and energy magnitudes. In this scenario, quality control tools to filter, discard, or rank data are of extreme importance and should ideally be simple, fast, and generalizable. Using machine-learning tools, we present here a simple and efficient model based on the isolation forest algorithm for detecting amplitude anomalies on any seismic waveform segment

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de Souza, Flávio Henrique Batista, Braulio Roberto Gonçalves Marinho Couto, Felipe Leandro Andrade da Conceição, et al. "907. Technology and Medicine: Prediction of Surgical Site Infection in Clean Surgeries using Artificial Neural Networks." Open Forum Infectious Diseases 7, Supplement_1 (2020): S487. http://dx.doi.org/10.1093/ofid/ofaa439.1095.

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Abstract Background In Belo Horizonte, a city with 3,000,000 inhabitants, a survey was performed in six hospitals, between July 2016 and June 2018, about surgical site infection (SSI) in patients undergoing clean surgery procedures. The main objective is to statistically evaluate such incidences and enable an analysis of the SSI predictive power, through MLP (Multilayer Perceptron) pattern recognition algorithms. Methods Through the Hospital Infection Control Committees (CCIH) of the hospitals, a data collection on SSI was carried out through the software SACIH - Automated System for Hospital

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Zeinda, Eliza Marceliana, and Sho’im Hidayat. "RISK ASSESSMENT KECELAKAAN KERJA PADA PENGOPERASIAN BOILER DI PT. INDONESIA POWER UNIT PEMBANGKITAN SEMARANG." Indonesian Journal of Occupational Safety and Health 5, no. 2 (2017): 183. http://dx.doi.org/10.20473/ijosh.v5i2.2016.183-191.

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Boiler is a tool produced steam. The operation of boiler produce hazard that can cause accidents in labor. The purpose of this research is to risk assessment for accidents work in the operation of boilers in PT. Indonesia Power Unit Pembangkitan Semarang. This research is observational. The object of this research is boiler. The subject of this research is coordinator and operator boiler. The primary data was obtained from observation and interview, while secondary data from the corporate documents. The result showed that boilers in PT. Indonesia Power Unit Pembangkitan Semarang were 3 unit of

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Souza, Flávio, Braulio Couto, Felipe Leandro Andrade da Conceição, et al. "Automated Risk Analysis of Surgical Site Infection in Hip Arthroplasty Surgeries." Infection Control & Hospital Epidemiology 41, S1 (2020): s135—s136. http://dx.doi.org/10.1017/ice.2020.649.

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Background: In 7 hospitals in Belo Horizonte, a city with >3,000,000 inhabitants, a survey was conducted between July 2016 and June 2018, focused on surgical site infection (SSI) in patients undergoing arthroplasty surgery procedures. The main objective is to statistically evaluate such incidences and enable a study of the prediction power of SSI through pattern recognition algorithms, the MLPs (multilayer perceptron). Methods: Data were collected on SSI by the hospital infection control committees (CCIHs) of the hospitals involved in the research. All data used in the analysis during their

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de Souza, Flávio Henrique Batista, Braulio Roberto Gonçalves Marinho Couto, Felipe Leandro Andrade da Conceição, et al. "897. Prediction of Surgical Site Infections in Colon Surgery in Belo Horizonte Hospitals." Open Forum Infectious Diseases 7, Supplement_1 (2020): S483. http://dx.doi.org/10.1093/ofid/ofaa439.1085.

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Abstract Background In Belo Horizonte (a 3,000,000 inhabitants city) a survey was carried out in five hospitals, between July 2016 and June 2018, about surgical site infection (SSI) in patients undergoing colon surgery procedures. The general objective is to statistically evaluate such incidences and enable an analysis of the SSI predictive power, through MLP (Multilayer Perceptron) pattern recognition algorithms. Methods Through the Hospital Infection Control Committees (CCIH) of the hospitals a data collection on SSI was carried out. Such data was used in the analysis during your routine SSI

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Zhang, Shangen, Jingnan Sun, and Xiaorong Gao. "The effect of fatigue on brain connectivity networks." Brain Science Advances 6, no. 2 (2020): 120–31. http://dx.doi.org/10.26599/bsa.2020.9050008.

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In the fatigue state, the neural response characteristics of the brain might be different from those in the normal state. Brain functional connectivity analysis is an effective tool for distinguishing between different brain states. For example, comparative studies on the brain functional connectivity have the potential to reveal the functional differences in different mental states. The purpose of this study was to explore the relationship between human mental states and brain control abilities by analyzing the effect of fatigue on the brain response connectivity. In particular, the phase‐scr

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Ursino, Mauro, and Elisa Magosso. "Role of short-term cardiovascular regulation in heart period variability: a modeling study." American Journal of Physiology-Heart and Circulatory Physiology 284, no. 4 (2003): H1479—H1493. http://dx.doi.org/10.1152/ajpheart.00850.2002.

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A mathematical model of short-term cardiovascular regulation is used to investigate how heart period variability reflects the action of the autonomic regulatory mechanisms (vagal and sympathetic). The model includes the pulsating heart, the systemic (splanchnic and extrasplanchnic) and pulmonary circulation, the mechanical effect of respiration on venous return, two groups of receptors (arterial baroreceptors and lung stretch receptors), the sympathetic and vagal efferent branches, and a very low-frequency (LF) vasomotor noise. All model parameters were given on the basis of physiological data

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Souza, Flávio, Braulio Couto, Gabriel Henrique Silvestre da Silva, et al. "Prediction of Surgical Risk in General Surgeries: Process Optimization Through Support Vector Machine (SVM) Algorithm." Infection Control & Hospital Epidemiology 41, S1 (2020): s355—s356. http://dx.doi.org/10.1017/ice.2020.975.

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Background: In 5 hospitals in Belo Horizonte (population, 3 million) between July 2016 and June 2018, a survey was performed regarding surgical site infection (SSI). We statistically evaluated SSI incidents and optimized the power to predict SSI through pattern recognition algorithms based on support vector machines (SVMs). Methods: Data were collected on SSIs at 5 different hospitals. The hospital infection control committees (CCIHs) of the hospitals collected all data used in the analysis during their routine SSI surveillance procedures; these data were sent to the NOIS (Nosocomial Infection

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Credo, Andrea, Marco Tursini, Marco Villani, Claudia Di Lodovico, Michele Orlando, and Federico Frattari. "Axial Flux PM In-Wheel Motor for Electric Vehicles: 3D Multiphysics Analysis." Energies 14, no. 8 (2021): 2107. http://dx.doi.org/10.3390/en14082107.

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The Axial Flux Permanent Magnet (AFPM) motor represents a valid alternative to the traditional radial flux motor due to its compact structure; it is suitable for in-wheel applications so that the transmission gear can be suppressed. The modeling of the motor is a purely Three-Dimensional (3D) problem and the use of 3D finite element tools allows the attainment of accurate results taking also into account the effects of the end-windings. Moreover, a 3D multiphysics analysis is essential to evaluate not only the motor performance and its thermal behavior, but also the electromagnetic forces acti

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Souza, Flávio, Braulio Couto, Felipe Leandro Andrade da Conceição, et al. "Automated Prediction of Surgical Site Infection Coronary Artery Bypass (CABG) Grafting Surgery." Infection Control & Hospital Epidemiology 41, S1 (2020): s135. http://dx.doi.org/10.1017/ice.2020.648.

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Background: In 5 hospitals located in Belo Horizonte city (>3,000,000 inhabitants) a focused survey on surgical site infection (SSI) was performed in patients undergoing CABG surgery. We statistically evaluated such incidences to enable study of the prediction power of SSI through pattern recognition algorithms, in this case the multilayer perceptron (MLP) artificial neural networks. Methods: Data were collected between July 2016 and June 2018 on SSI by the hospital infection control committees (CCIHs) of the hospitals involved in the research. We collected all data used in the analysis dur

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de Souza, Flávio Henrique Batista, Braulio Roberto Gonçalves Marinho Couto, Felipe Leandro Andrade da Conceição, et al. "879. Artificial Neural Networks to Predict Infection in the Surgical Site in Patients over 70 Years Old." Open Forum Infectious Diseases 7, Supplement_1 (2020): S476. http://dx.doi.org/10.1093/ofid/ofaa439.1067.

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Abstract Background Between July 2016 and June 2018, a survey was carried out in five hospitals on surgical site infection (SSI) in patients over 70 years old, who underwent surgery procedures, in the city of Belo Horizonte, a city with more of 3,000,000 inhabitants. The general objective is to statistically evaluate such incidences and enable an analysis of the predictive power of SSI, through MLP (Multilayer Perceptron) pattern recognition algorithms. Methods Through the Hospital Infection Control Committees (CCIH) of the hospitals involved in the research, data collection on SSI was carried

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de Souza, Flávio Henrique Batista, Braulio Roberto Gonçalves Marinho Couto, Felipe Leandro Andrade da Conceição, et al. "880. Artificial Neural Networks to Predict Surgical Site Infection in Aorta Artery Aneurysm Correction." Open Forum Infectious Diseases 7, Supplement_1 (2020): S476—S477. http://dx.doi.org/10.1093/ofid/ofaa439.1068.

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Abstract Background A survey was conducted in three hospitals, between July 2016 and June 2018, about surgical site infection (SSI) in patients undergoing surgeries to correct aortic artery aneurysms in the city of Belo Horizonte, with more than 3,000,000 of inhabitants. The general objective is to statistically evaluate such incidences and enable an analysis of the predictive power of SSI, through MLP (Multilayer Perceptron) pattern recognition algorithms. Methods Through the Hospital Infection Control Committees (CCIH) of the hospitals involved in the research, data collection on SSI was car

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de Souza, Flávio Henrique Batista, Braulio Roberto Gonçalves Marinho Couto, Felipe Leandro Andrade da Conceição, et al. "895. Prediction of Occurrence for Surgical Site Infection in Infected Surgeries." Open Forum Infectious Diseases 7, Supplement_1 (2020): S482. http://dx.doi.org/10.1093/ofid/ofaa439.1083.

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Abstract Background A survey was carried out in five hospitals, between July 2016 and June 2018, on surgical site infection (SSI) in patients undergoing infected surgery procedures, in the city of Belo Horizonte (3,000,000 inhabitants). The general objective is to statistically evaluate such incidences and enable an analysis of the SSI predictive power, through MLP (Multilayer Perceptron) pattern recognition algorithms. Methods Through the Hospital Infection Control Committees (CCIH) of the hospitals, a data collection on SSI was carried out. Such data is used in the analysis during your routi

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