Miracle-dz/UniFAR-FTUs huggingface dataset:
Flow and Performance Characteristics of a Double-Blade Hydrofoil

While our planet is rapidly approaching an environmental crisis under the dominant use of depleting fossil fuels, the need for exploiting all forms of new, small carbon foot-print, renewable, and clean energy resources are increasing in the same proportion. Therefore, the need for exploring all types of clean energy resources that the world has- some of which might have not attracted sufficient attention before- is essential in order to implement sufficient, efficient, and widely use all them. In this respect, operational effectiveness of the wind and hydrokinetic turbines depend on the performance of the airfoils chosen. Using double-blade airfoils in the wind and hydrokinetic turbines, minimum wind and hydrokinetic flow velocities to produce meaningful and practical mechanical power reduces to 3- 4 m /s for wind turbines and 1-1.5 m/s or less for hydrokinetic turbines. Consequently, double-blade hydrofoils may re-define the potentials of wind power and hydrokinetic power of the countries in positive manner.
Global Sensitivity Analysis Using the Ultra‐Low Resolution Energy Exascale Earth System Model

For decades, Arctic temperatures have increased twice as fast as average global temperatures. As a first step toward quantifying parametric uncertainty in Arctic climate, we performed a variance‐based global sensitivity analysis (GSA) using a fully coupled, ultra‐low resolution (ULR) configuration of version 1 of the U.S. Department of Energy's Energy Exascale Earth System Model (E3SMv1). Specifically, we quantified the sensitivity of six quantities of interests (QOIs), which characterize changes in Arctic climate over a 75 year period, to uncertainties in nine model parameters spanning the sea ice, atmosphere, and ocean components of E3SMv1. Sensitivity indices for each QOI were computed with a Gaussian process emulator using 139 random realizations of the random parameters and fixed preindustrial forcing. Uncertainties in the atmospheric parameters in the Cloud Layers Unified by Binormals (CLUBB) scheme were found to have the most impact on sea ice status and the larger Arctic climate. Our results demonstrate the importance of conducting sensitivity analyses with fully coupled climate models. The ULR configuration makes such studies computationally feasible today due to its low computational cost. When advances in computational power and modeling algorithms enable the tractable use of higher‐resolution models, our results will provide a baseline that can quantify the impact of model resolution on the accuracy of sensitivity indices. Moreover, the confidence intervals provided by our study, which we used to quantify the impact of the number of model evaluations on the accuracy of sensitivity estimates, have the potential to inform the computational resources needed for future sensitivity studies.
A Frequency Decomposition-Based Hybrid Forecasting Algorithm for Short-Term Reactive Power

This paper proposes a new frequency decomposition-based hybrid reactive power forecasting algorithm, EEMD-LSTM-RFR (ELR), which adopts a strategy of frequency decomposition prediction after ensemble empirical mode decomposition and then data reconstruction to improve the prediction ability of reactive power. This decomposition process can compress the high frequency of reactive power and benefits the following separate forecasting. Long short-term memory is proposed for the high-frequency feature of reactive power to deal with the forecasting difficulty caused by strong signal disturbance and randomness. In contrast, random forest regression is applied to the low-frequency part in order to speed up the forecasting. Four classical algorithms and four hybrid algorithms based on different signal decompositions are compared with the proposed algorithm, and the results show that the proposed algorithm outperforms those algorithms. The predicting index RMSE decreases to 0.687, while the fitting degree R2 gradually approaches 1 with a step-by-step superposition of high-frequency signals, indicating that the proposed decomposition-predicting reconstruction strategy is effective.
Alimentation d'onduleurs multiniveaux asymétriques : analyse des possibilités de réalisation et méthodes de répartition de la puissance

The investigated asymmetrical multilevel inverters consist of series-connected inverter cells with different characteristics. They allow to obtain a very good output-voltage resolution. The feeding of the cells is a delicate point which can increase the inverter's complexity and deteriorate its efficiency. This article reviews several solutions to obtain a simple structure with good efficiency.
Three dimensional computational modeling and simulation of biological cells and capsules

OF THE DISSERTATION Three-dimensional computational modeling and simulation of biological cells and capsules by Sai Doddi Dissertation Director: Professor Prosenjit Bagchi Three-dimensional computational modeling and simulation are presented on the flow-induced motion of highly deformable particles which are representative of biological cells, such as red blood cells. We focus on the dynamics of capsules, that is, liquid drops surrounded by hyperelastic membranes. Unlike liquid drops where the fluid-fluid interface is characterized by isotropic surface tension, that for a capsule is governed by more complex constitutive laws. The numerical method is based on a front-tracking/immersed boundary method for capsule deformation, and a finite-difference/fourier-transform method for the flow solver. The methodology is able to consider large deformation of capsules, capsule-capsule interaction, semi-dense suspension, and inertial effect. Using the simulation tool, we address a sequence of problems: (a) Capsule motion in wall-bounded pressure-driven flows: The motion of a capsule in a channel flow is investigated in absence of inertia and under large deformation. It is shown that a deformable capsule slowly drifts lateral to the flow and away from the wall while moving axially with the flow. Based on the theory of small deformation, and the present numerical results, an approximate expression for migration velocity under large deformation
Efficient design method based on evaluation using CAE system

In design processes, a product shape is defined on a CAD system, and design analysis and evaluation are performed on a CAE system. When modification of the design shape is required as a result of design evaluation, the design shape is modified using the CAD system and the analysis and evaluation processes using the CAE system are repeated. In the analysis of a design shape with the CAE system, mesh data is generated using the form data constructed by the CAD system. Whenever design shape is to be modified using the CAD system, mesh data must be regenerated. The quality of mesh data greatly influences analysis accuracy, and high quality mesh data requires considerable time and cost to generate. The purpose of the study is to propose a novel digital engineering method for design evaluation using a CAE system and to confirm the effectiveness of the method. The proposed method enables designers to modify designs using mesh data and to automatically transform the mesh data to the CAD data, to minimize the cost and time for regenerating mesh data after design modification. A basic system was also developed to confirm the usefulness of the proposed method.
Balance Quality Measurements on Baluns

Two different methods of measuring the balance quality of baluns are described. Section I describes the balance comparator, a mechanical test device requiring only a signal source, and receiver to perform the measurements on the test balun. Section II describes the use of a network analyzer, computer controlled to plot out all the graphical data on the balun measurements. Measurements on a balun having known balance characteristics show both methods obtain satisfactory balance data.
GPS Integrity and Potential Impact on Aviation Safety

This paper assesses the capability of GPS to provide the level of safety required for different aircraft flight navigation operations. It presents an analysis of the protection offered against potential catastrophic GPS failures at system and user levels. This is followed by an assessment of the different approaches to augmenting GPS for civil air navigation. Results show the inadequacy of GPS as a system for real-time safety critical use.
How Can Social Work Practice Facilitate a Dignified Dying Experience for People With Intellectual Disabilities? A Scoping Review

ABSTRACT Due to improvements in healthcare and the standard of living advancing, the life expectancy of people with intellectual disabilities (ID) has increased, with a greater number of people with ID now included among the ageing population. The aim of this review was to understand how social work practice can facilitate a dignified dying experience for this group of people. Six academic databases were searched with thematic analysis of included articles. The review included empirical qualitative, quantitative, mixed method studies as well as literature reviews, conceptual articles, and grey literature. Forty-five studies met the inclusion criteria, and four themes were identified. The review concluded that the establishment of social work specific research is necessary for the profession to understand systemic barriers and how opportunities can be implemented for a more enhanced and equitable dying experience. IMPLICATIONS People with ID experience difficulties in accessing high-quality palliative care and are excluded from autonomous decision making and education across the lifespan. There is a lack of social work research in the field of disability. More research will bring to light the distinctive contribution social workers can play in this interdisciplinary field.
A Ferrite-Loaded Ultra-Low Profile Ultra-Wideband Tightly Coupled Dipole Array

A dual-polarized ferrite-loaded ultra-wideband tightly coupled dipole array (TCDA) with an extremely low profile is presented. A novel ferrite grid with high relative permeability and permittivity characteristic is loaded between the antenna and ground plane, which expands the low-end of operation bandwidth and reduces the overall profile, simultaneously. An X-shaped frequency selective surface (FSS) is utilized as a special band-stop filter to improve the realized gain at higher frequencies. Meanwhile, the proposed array utilizes a microstrip (MS) to coplanar stripline (CPS) uniplanar double-Y balun to achieve unbalance-balance transformation and impedance matching. A thin meta-surface based wide-angle impedance matching (MS-WAIM) layer is introduced to improve the beam scanning ability. Simulated results show that the proposed antenna is able to operate over a 10:1 bandwidth (0.2-2GHz) with active VSWR < {2, 2.6, 3.4} while scanning up to {broadside, 45°, 60°}, respectively. Most of all, the overall antenna profile is only 62.5mm (0.042λL) at the lowest operating frequency, which is known to be the thinnest 10:1 ultra-wideband array with wide angle scanning (± 60° in E- and H-plane) performance. A prototype of 6 × 8 array is simulated, fabricated and measured. Good agreement is achieved between the simulated and measured results.
Feasibility analysis of megawatt scale solar thermal power plants

In this article, feasibility analysis of solar thermal power plants is carried out for large scale power generation. Three different configurations of concentrating solar power technologies such as linear Fresnel reflector collector (LFRC), parabolic trough collector (PTC), and power tower (PT) are analyzed for power generation in stand-alone mode and various plant capacities such as 1 MWe, 5 MWe, 10 MWe, 30 MWe, and 50 MWe. The maximum achievable steam conditions in LFRC system has been considered for all the power plant capacities as 55 bar and 270 °C. In case of parabolic trough and power tower, the steam parameters have been considered as 60 bar, 370 °C for 1 MWe, 65 bar, 400 °C for 5 MWe, 65 bar, 410 °C for 10 MWe, 100 bar, 410 °C for 30 MWe, and 100 bar, 410 °C for 50 MWe. The feasibility of stand-alone solar power plants (SASPPs) is compared with coal fired power plant (CFPP) and solar aided coal fired power plant (SACFPP). The feasibility analysis in terms of performance and levelised electricity .
Lane recognition system for guiding of autonomous vehicle

A lane recognition system has been developed with a transputer network. The system includes two algorithms one for the lane recognition and one for the vehicle location recognition in relation to the lane. Hough transform is used to fit the extracted numerical white line data to a straight line for the lane boundary. The location of the vehicle is identified in relation to the lane which is expressed as a triangle that consists of two white lines being recognized and the lower side of the image frame. <<ETX>>
Spektralanalyse des EEG: vor, während und nach einer extracranialen Stimulation am Menschen

Es wird eine Anwendung spektralanalytischer Analysemethoden für die Untersuchung von EEG-Mustern gezeigt. Gegenstand der Untersuchung sind eine 85 Sekunden dauernde, extracraniale Stimulation mit Rechteckimpulsen (Folgefrequenz 100 Hz) am Menschen, die stimulationskorrelierten Änderungen in der spontanen Kirnaktivität und der Vergleich derselben mit EEG-Mustern aus einer somnolenten Versuchsperiode. Es kann gezeigt werden, daß der elektrische Strom (Rechteckimpuls l ms, Folgefrequenz 100 Hz, l mA) zwei konträre Wirkungen auf die spontane bioelektrische Hirnaktivität ausübt, nämlich eine gleich große Dämpfung des aund -3-Rhythmus — die wahrscheinlich durch das Blockieren des Vorverstärkers zustande kommt und daher als „Artefakt" angesehen werden kann — und eine mit einer Latenz von 40 Sekunden nach Stimulationsbeginn erscheinende Aktivierung des -3-Rhythmus, die die Stimulation um denselben Betrag (40 sec) noch überdauert. Diese Vergrößerung der $-Aktivität kann wahrscheinlich «als echte stimulationskorrelierte Beeinflussung der neuronalen Aktivität gedeutet werden.
New nonlinear vibration energy harvesters based on PVDF hybrid fluid diaphragm

A low resonance frequency piezoelectric energy harvesting using a hybrid fluid diaphragm (HFD) is presented. This paper describes the design, fabrication and measurement of such device for harvesting energy from environmental vibrations. The HFD consists in an incompressible fluid confined between two thin piezoelectric membranes. The output voltage and power of the PVDF HFD are studied based on experimental and simulation results. Compared with conventional vibration harvester, this proposed solution is very simple and suitable for miniaturization and integration.
Comparison of synchronous PM machine types for wide constant‐power speed range operation

Purpose – The purpose of this paper is to provide a comparison of synchronous permanent magnet machine types for wide constant power speed range operation.Design/methodology/approach – A combination of analytical models and finite element analysis is used to conduct this study.Findings – The paper has presented a detailed comparison between various types of synchronous PM machines for applications requiring a wide speed range of constant‐power operation. Key observations include: surface permanent magnet (SPM) and interior permanent magnet (IPM) machines can both be designed to achieve wide speed ranges of constant‐power operation. SPM machines with fractional‐slot concentrated windings offer opportunities to minimize machine volume and mass because of their short winding end turns and techniques for achieving high‐slot fill factors via stator pole segmentation. High back‐emf voltage at elevated speeds is a particular issue for SPM machines, but also poses problems for IPM machine designs when tight maxim.
The Effect of Adversity Quotient on Psychology Capital and Performance: Evidence from Indonesian Teachers

This study investigates the effect of adversity quotient (AQ) on performance mediated by psychology capital (PsyCap). A questionnaire collected research data. The questionnaire for all research variables is reliable with an alpha coefficient > . 7. The research participant is 450 junior high school teachers in Indonesia select by accidental sampling. Data analysis uses path analysis supported by descriptive statistics and correlational matrics. The research result reveals that AQ and PsyCap significantly affect performance. AQ is also significantly influenced PsyCap. Besides, PsyCap was significantly indirectly mediating the effect of AQ on performance. Thus, the empirical model of AQ on performance mediated by PsyCap was confirmed. This model can discuss among researchers and educational practitioners to build models of performance that can adapt and adopt as new approaches or strategies to developing performance. Therefore, the research suggested that the performance can improve through AQ and PsyCap.
Characterization of single event effects for the AD677, 16-bit A/D converter

The AD677 demonstrated four types of single event effects (SEE): temporary data errors due to single event upsets (SEU) in the Analog die; temporary data errors due to SEU's in the Digital die; lingering data errors due to SEUs in the Digital die and a nondestructive, self-correcting latchup mode in the Digital die. This report presents the results.
A system using LEO telecommunication satellites for rapid acquisition of integer cycle ambiguities

This paper addresses the design of a cm-level carrier-phase navigation system which employs Low Earth Orbit (LEO) satellites for rapid resolution of integer-cycle ambiguities. In the short term, the system aims to combine the Navstar GPS fleet with satellites of the Globalstar Telecommunications constellation. We describe how cm-level carrier-phase positioning can be achieved using signals that were not designed for navigation. Our objective is to perform precision navigation without requiring alteration of the communication payload onboard the satellites. The technique accommodates the beam configuration of the satellite downlink, the bent-pipe architecture of the communication payload, the instabilities of the satellite oscillators and the frequency-dependent phase lags in the user and reference receiver front ends. The object of this paper is to characterize those components of the system necessary to achieve high-integrity high-precision performance objectives.
Distance Estimation Using BLE Beacon on Stationary and Mobile Objects

One key feature of Bluetooth low energy (BLE) beacons is the received signal strength, which can be used to estimate the distance between any Bluetooth-compatible receiver (e.g., smartphone, tablet, etc.) and fixed deployed beacon. Although received signal strength (RSS) can be measured easily with commonly available smart devices, the measurements are unreliable, in which general estimation models are not robust to different hardware and settings for real deployed beacon networks. Furthermore, the lack of consideration for object mobility in these models undermines its practicality. Motivated by the above limitations, this article proposes a novel distance classifier, d-Classifier, to classify the distance with a feature vector constructed with features such as hardware type and deployment environment to improve the robustness. Moreover, comprehensive experiments related to mobility are conducted to study the relationship between packet receiving rate and estimation accuracy. Improved performance can be achieved by providing extra mobility information with a list of RSS values during estimation. The proposed classifier is validated with an extensive data set that includes over 200 k data collected from real beacon networks. Overall, our proposed d-Classifier achieves a significant performance gain, $>25\%$ accuracy improvement, over its prior arts.
A comprehensive overview of dual-layer composite membrane for air (O2/N2) separation

The separation of air (O2/N2) via a polymeric membrane has recently piqued the interest of academic researcher as well as the industrial sector. Because of its remarkable characteristics, the polymeric membrane has emerged as one of the innovative and fast growing technology. However, two major problems faced by membrane technology, which hinder its growth in the commercial sector are, 1): The trade-off between permeability and selectivity. 2): Maintaining physical and chemical structural stability in a long-term commercial scale process. Recent advancements in membrane material, structural, and process design have enabled the development of dual-layer composite (DLC) membranes. This concept combines the benefits of both thinner mixed matrix membranes (MMMs) based active layer and porous support substrate. Due to these properties, the membrane exhibits higher perm-selectivity with enhanced mechanical strength as compared to single layer polymeric membrane. This review article mainly focused on the developmental progress of DLC membrane throughout the years. In which membrane structural details, selection criteria, fabrication methodologies, application [e.g., air (O2/N2) separation] were critically reviewed. In addition, challenges arising in the DLC membrane production and future prospects for the development of these membranes were also thoroughly discussed in this literature. This creates a paradigm for future research in the commercial development of these membranes for the air (O2/N2) separation process, which can be utilized in both medical and industrial sectors.
POWER AND PERCEPTIONS IN BUSINESS DEVELOPMENT: THE CASE OF A MAJOR CONTRACTOR AND DESIGN CONSULTANCIES IN CIVIL ENGINEERING INFLUENCER AND REFERRAL MARKETS

Relationship marketing has become more prevalent in construction over recent years through both strategic intent and informal tactics. This research is part of a two-year programme examining the application of relationship marketing and management within a major contractor. The paper reports the findings on the relationships between the contractor and design consultancies. The findings are analysed according to four dimensions of power. The first dimension is the overall market power of contractors compared with consultants, especially where contractors have financial leverage and where consultants are subcontractors. The second dimension is power derived from the status accorded to professions and their disciples compared with contractors. The third dimension concerns the specific power consultants and contractors apply in transactions during project stages. The fourth dimension is the lack of awareness and power business development managers have in leveraging relationship value in relation to consultants and internally through systems to link with project management. These four dimensions are also analysed in terms of the perceptions key personnel hold that constrain relationship building between contractors and consultants. The findings arise from a combination of action research in the contractor organization and observation conducted through semi-structured interviews with the ten leading design consultancies in the contractor’s market and with their business development managers. The paper concludes with an evaluation of the findings in terms of relationship marketing theory, particularly drawing upon influencer and referral markets within the IMP six markets model, to assess constraints experienced in developing relationship marketing derived from perceptions and power.