Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of an Android-Based Application as an Information System for Sports Venues and Sport Community

The application developed is android-based AYOOLAHRAGA, which is an information system for sports venues and sports communities for smartphone users. This development of such application has the main purpose to help users to find out some information readily and quickly about physical activities fields available in Yogyakarta and the nearest places. The information developed in the AYOOLAHRAGA application can be accessed by anyone having a smartphone especially those residing in Yogyakarta city (DIY). This research is a product development study, popularly known as Research and development (R&D) research. Whilst collecting data, three types of instruments were employed, namely a questionnaire for expert media validators, along with two different tests administered in two terms based on the sample size involved. The small-scale test used a sample of 50 respondents whereas the large-scale sample consists of 100 respondents. The data were analysed using quantitative and qualitative approaches. After addressing all data, it was revealed that the results of the material expert test obtained a percentage of 98.82%, felt in strongly agree category of application acceptance while the media expert test obtained a percentage of 97.21% likewise. The results of the small and large-scale testing showed that most respondents stated that the development of the present application for sports lovers' benefits is good and needed so far. Therefore, it can be concluded that an android-based sports venues and sports community information system is useful and feasible to use.
Status, Challenges, and Potential for Machine Learning in Understanding and Applying Heat Transfer Phenomena

Machine learning (ML) offers a variety of techniques to understand many complex problems in different fields. The field of heat transfer, and thermal systems in general, are governed by complicated sets of governing physics that can be made tractable by reduced-order modeling, and by extracting simple trends from measured data. Therefore, ML algorithms can yield computationally efficient models for more accurate predictions or to generate robust optimization frameworks. This study reviews past and present efforts that use ML techniques in heat transfer from the fundamental level to full-scale applications, including the use of ML to build reduced-order models, predict heat transfer coefficients and pressure drop, real-time analysis of complex experimental data, and optimize large-scale thermal systems in a variety of applications. The appropriateness of different data-driven ML models in heat transfer problems is discussed. Finally, some of the imminent opportunities and challenges that the heat transfer community faces in this exciting and rapidly growing field are identified.
Compliant needle modeling and steerable insertion simulation

AbstractNeedle based surgery is an important surgical technique for its minimally invasive interventions. The insertion of a long and slender needle into the complicated human body is a very challenging procedure. In this paper, a compliant needle is designed to facilitate the obstacle avoidance and path control that are inevitable in some surgical operations. During needle insertion, a magnetic force is employed to steer the compliant needle when needed. The steerable needle insertion process is simulated in a haptic system which can provide users both visual and haptic feedback.
Electromagnetic compatibility of distribution switchgear installations

The electromagnetic compatibility of distribution switchgear installations has to be regarded under two aspects. A possible interference between the components inside a substation must, on the one hand, be considered and, on the other hand, the interaction of the switchgear components with the environment outside the substation should also be taken into account. Both these aspects and their consequences are described in detail. The basic method and measures of achieving electromagnetic compatibility as well as the results of measurements are presented. Particular interest is given to the application of modern, nonconventional current and voltage transformers for medium voltage switchgear.
Contemporary Systems Analysis

From the Publisher: The philosophy of Marvin Gore and John Stubbe has always been to give students a solid foundation for applying learned techniques in the development of a computer information system. The goal of Contemporary Systems Analysis,5/e is to maintain the integrity and tradition of the Gore/Stubbe style,while strengthening the coverage of current technology and trends in the field. Contemporary Systems Analysis presents a balanced approach to the four phases of the systems development life cycle (SDLC): analysis,design,development,and operation. As indicated by the change in the title,this edition acknowledges the effects of current technology on systems development and includes coverage of the latest trends,approaches,and software. CASE tools are integrated with the traditional,thorough presentation that is the trademark of the Gore/Stubbe text.
Digital scalar pulse-width modulation: a simple approach to introduce nonsinusoidal modulating waveforms

The digital scalar pulse-width modulation (DSPWM) gathers the characteristics of simplicity of implementation found in the regular sampling with the flexibility of manipulation of the switching patterns in the space vector modulation (SVPWM). This paper establishes a correlation between the SVPWM and DSPWM techniques. It also shows how to make the DSPWM strategy equivalent to the SVPWM technique without losing its simplicity of implementation. By using such an equivalence concept a microprocessor-based scheme, which uses standard timer circuits and a simple software algorithm, is proposed to implement the DSPWM technique. The introduction of the "distribution ratio" in this technique, allows the development of a systematic approach for implementing either conventional or any modified vector strategies without changing the modulator scheme. This corresponds to generating any attractive nonsinusoidal modulating signals (NSMS) in the carrier-based modulation techniques. Furthermore, the simple digital blocks can be easily implemented as a specialized integrated circuit. Simulated and experimental results demonstrate the validity of the proposed methods.
A high performance plasma display panel driver IC using SOI

In this paper, we demonstrate an advanced 200 V-class plasma display panel scan driver IC using dielectric isolation, which utilizes bonded SOI and trench isolation, and a lateral IGBT (LIGBT). We have accomplished a large reduction in chip size compared with ICs fabricated on a junction isolated wafer and have obtained good output characteristics by optimizing device parameters. Moreover, original techniques to improve the blocking capability of the integrated LIGBT and lateral p-channel MOSFET have been included in our fabricated IC and are also described in this paper.
ONLINE SOCIAL NETWORK MINING: CURRENT TRENDS AND RESEARCH ISSUES

Online Social Network (OSN) mining has been a vast active area of research in the current years mainly due to the immense increase in the usage and popularity of such social networks. However, the huge amount of resources available in Online Social Networks (OSNs) poses a great challenge for researchers to analyze such networks. Also, the data generated from OSNs is dynamic and requires the need for intelligent mining of dynamic OSN data. In this paper we take into consideration three important current topics related to OSN mining with special emphasis on the current status of these research subareas. Hence this paper gives an idea about the hot topics related to OSN mining which will help the researchers to solve those challenges that still exist in mining OSNs.
Déterminants et effets économiques de l’inflation dans la CEMAC

Objective: The objective of this paper is to determine the sources and economic effects of inflation in the CEMAC. Methodology: The data analyzed come from the World Bank (World Development Indicator, 2017). The study covers the periods 1977-1994, 1995-2016 and 1977-2016. Two equations (an inflation equation and a growth equation) are estimated by the Generalized Moments Method (GMM) of Arellano and Bond (1991). Results: The results obtained show that inflation does not promote economic activity and comes mainly from trade with the outside world. Originality/relevance: This study analyzes inflation from two aspects (the determinants and the economic effects). It highlights the phenomenon of imported inflation, the control of which would improve the economic situation of the CEMAC countries. In addition, the study identifies the clauses of the African Continental Free Trade Area, which entered into force in 2021, as a factor that could constitute, among other things, a palliative solution to reducing said inflation.
Effects of multisensory virtual reality on virtual and physical tourism during the COVID-19 pandemic

ABSTRACT This study draws on the theory of total immersion and risk theory to examine how multisensory virtual reality (MVR) impacts tourists’ intention to visit a destination during COVID-19, as well as their destination loyalty and horizontal loyalty. To test the conceptual model, we capture the perceptions of 484 virtual tourism enthusiasts, and use these responses to construct a structural equation model via SPSS and AMOS 21. Departing from previous research, the findings suggest that total immersion and satisfaction with MVR tourism directly and positively affect behavioral intention to physically visit the destination. However, loyalty to MVR negatively affects behavioral intention to physically visit the destination. Additionally, perceived risk moderates the relation between total immersion and behavioral intention to physically visit the destination. Finally, satisfaction with MVR tourism and loyalty to MVR promote horizontal loyalty to a set of virtual destinations. The study settles a longstanding controversy in technology and tourism literature by confirming that, while early-stage MVR-mediated tourism can promote physical tourism, it eventually competes with physical tourism once loyalty to MVR is established. Thus, the tourism sector should carefully weigh the pros and cons of deploying technologies such as MVR to enhance users’ experience.
The effect of piston skirt tooling marks on hydrodynamic lubrication at small clearances in internal combustion engines

Abstract The effect of piston tooling marks on pressure generation and oil transport at the piston skirt-cylinder bore interface, in internal combustion engines, is investigated using direct numerical simulation. At small clearances (h/Ω ˜ 1), the resulting pressure variations are large, and significant small-scale cavitation occurs. Comparison with results obtained using Patir & Cheng’s flow factor model highlight differences around the peak pressure and small-scale cavitation regions.
Justice-oriented lurking: How educators lurk and learn in the Marginal Syllabus

This case study examines interviews describing the experience of social reading and lurking as a form of informal learning. This study details the ways educator lurking occurred in the Marginal Syllabus, a public informal learning community that discusses educational equity topics, implications for literacy education, and digital pedagogy. Strategies are offered for instructional designers to optimize social reading and lurking practices for informal online communities that challenge dominant cultures and educational narratives. Research on social reading and lurking as informal learning is needed to leverage informal online communities to dialogue about educational equity and more just learning futures.
A novel data classification-based scheme for cloud data security using various cryptographic algorithms

Digital technologies had an effect on people's lives. The majority of these digital devices rely on cloud storage to meet their memory needs. Hundreds of thousands of images, videos, and audio files are being transferred to cloud storage. Thousands of people around the world access these media every second. Unauthorized access to these media must be avoided. One of the weak points for data breaches is the user-end encryption. This paper suggests a strategy for improving cloud data protection by combining the AES and blowfish encryption and decryption algorithms. AES-256 is used as the first layer, followed by blowfish as the second layer, in the hybrid solution. The output of the first layer is input to the second layer and the final result is analyzed. The proposed method also discusses other combined approaches such as AES with other traditional algorithms but the proposed method gives significant results compared to other approaches.
Finite element stress and strain analysis of a solid tyre

Purpose: In this work, a finite element model of a solid tyre was constructed to simulate the loading condition. The solid tyre being modeled constitutes of three rubber layers with different properties and steel wires. Only hyperelastic property is considerd for the rubbers. The validation of FE prediction against experimental results was undertaken. An example of how arrangement of rubber layers in solid tyre can affect the distribution of strain energy density and deflection under loading was also carried out using FE analysis Design/methodology/approach: A finite element model of a solid tyre was constructed to simulate the static compressive loading condition. The solid tyre being modeled constitutes of three types of rubber of components and steel wires Findings: The 3D FE model for static loading analysis of solid tyre constructed in this study can give reasonably good prediction of load-deflection behaviour of a real solid tyre. It can also be deduced that the distributions of analysis parameters such as strain energy density and Von Mises stress given by the FE analysis are acceptable and can be used to improve the design of solid tyres. The tyre made entirely with the rubber of the same hyperelastic property as the tread layer can give more flexible deformation and thus more comfortable ride with lesser risk to damage due to heat generation. Practical implications: Finite element analysis, as has been demonstrated, can be used to predict the performance of the solid tyre when such variations are made. The results from finite element anaysis can be used to determine the optimum thickness of each layer for green tyre (unvulcatised tyre) building Originality/value: In the solid tyre manufacturing point of view, improving the load bearing performance by changing thickness of each solid tyre layer or make a variation in layers arrangement is the least problematic and can be done effectively without changing the mould or rubber compounds.
24 GHz automotive radar planar Luneburg lens

A planar Luneburg lens whose permittivity distribution is modified by two types of hole density control in the central region and by dielectric thickness control in the edge region is reported. The lens was designed to operate at 24 GHz in Transverse Electromagnetic (TEM) mode. Experimental radiation patterns show good agreement with the simulation. The measured 3 dB beamwidth of the vertical polarised H-plane pattern is 5deg with 14 dB gain at 24 GHz for a 12.2lambda, 15.24 cm diameter lens, cross polar levels were below -30 dB. Its small size and lightweight, 53% of material is removed, and better than 20% bandwidth makes it useful for vehicular use in the 24 GHz unlicensed Industrial, Scientific, Medical (ISM) equipment band and for 24 GHz short range radar applications
Unsteady CFD Simulations of Propeller Installation Effects

A series of unsteady CFD simulations have been conducted for a set of generic isolatedand installed-propeller configurations at low-speed flight conditions. The propeller geometry investigated is a four-bladed design typical of those used on modern regional turboprop aircraft. The computations were performed with the unstructured DLR TAU-code and the numerical results are compared with experimental data obtained in a wind tunnel test campaign conducted in the 1980s. The results of the unsteady computations agree well with the available propeller slipstream data and surface pressure distributions measured in the wind tunnel. Additionally, a detailed analysis and comparison of the forces acting on the wing and the propeller is performed.
A new combined transient extraction method coupled with WO3 gas sensors for polluting gases classification

Purpose The purpose of this paper is to deal with the classification improvement of pollutant using WO3 gases sensors. To evaluate the discrimination capacity, some experiments were achieved using three gases: ozone, ethanol, acetone and a mixture of ozone and ethanol via four WO3 sensors. Design/methodology/approach To improve the classification accuracy and enhance selectivity, some combined features that were configured through the principal component analysis were used. First, evaluate the discrimination capacity; some experiments were performed using three gases: ozone, ethanol, acetone and a mixture of ozone and ethanol, via four WO3 sensors. To this end, three features that are derivate, integral and the time corresponding to the peak derivate have been extracted from each transient sensor response according to four WO3 gas sensors used. Then these extracted parameters were used in a combined array. Findings The results show that the proposed feature extraction method could extract robust information. The Extreme Learning Machine (ELM) was used to identify the studied gases. In addition, ELM was compared with the Support Vector Machine (SVM). The experimental results prove the superiority of the combined features method in our E-nose application, as this method achieves the highest classification rate of 90% using the ELM and 93.03% using the SVM based on Radial Basis Kernel Function SVM-RBF. Originality/value Combined features have been configured from transient response to improve the classification accuracy. The achieved results show that the proposed feature extraction method could extract robust information. The ELM and SVM were used to identify the studied gases.
Multigrid transonic computations about arbitrary aircraft configurations

A three-dimensio nal full-potential code that is able to handle arbitrary aircraft configurations is described. This code is based on the use of Cartesian grids, local refinement, and multigrid calculations. The configuration is treated as an assembly of elements (bodies, wings, pylons, etc.). The algorithm incorporates the body boundary condition implementation for nonaligned grids. Multigrid treatment of local refinement and grid overlapping is described. Three application cases are discussed. First, a fighter configuration including body, wing, fairing, and canard; this example shows the importance of the grid-to-shock alignment. Second, a fighter configuration including body, wing, fairing, canard, and external fuel tank; the analysis shows an unexpectedly strong interference between body, wing, and fuel tank. Third, a civil aircraft configuration with different wing root fairings.
THE FULL-WAVEFORM LIDAR RIEGL LMS-Q680I: FROM REVERSE ENGINEERING TO SENSOR MODELING

The development of new data processing methods requires access to the raw data. Unfortunately some LiDAR manufacturers do not provide information about the format and the users can only rely on proprietary software to do their processing. Even if using black boxes might be sufficient for some simple applications, it might be an impediment to scientific research, as the processing would be limited to state of the art methods and their current implementation. In existing full-waveform LiDAR software there is a lack of error propagation methods that might be an issue when making quantitative measurements of topography, reflectance, or vegetation parameters. This problem can only be addressed at the lowest level by working directly on the waveforms. Moreover, to improve range measurement and feature extraction techniques, and compute error bars correctly, one also needs an instrument model describing the data acquisition process. Here we focus on the Riegl LMS-Q680i airborne LiDAR sensor. We acquired 200 km 2 of data (nearly 100 GB of undocumented binary files). We performed a reverse engineering to understand how the timestamps, look angles and waveforms were stored. Then we developed a model of this particular sensor: the two nonlinear detector channels, the asymmetric amplifier impulse response and the ringing effect. Assuming this model, not only were we able to match the output of the proprietary software, but we also managed to compute the range uncertainty, and we opened the way to new methodologies to improve the reliability and the accuracy of echo extraction.
COMPLEX 3D FLIGHT TRAJECTORY GENERATION AND TRACKING USING CUBIC SPLINES

An aerial target trajectory generation, guidance and control system has been implemented to emulate evasive maneuvers of modern anti-ship cruise missiles. First, the inner loop tracking design considerations and a sinusoidal trajectory definition are presented. A corridor-based cubic spline approach was then implemented, with horizontal and vertical displacements defined versus time as the independent variable. The spline equations and limitations are shown, and some of the considerations of low altitude maneuvering flight are discussed, including a PC based maneuver layout and verification program developed to support the spline trajectories. Finally, a full threedimensional cubic spline based trajectory scheme is presented, and the choice of independent variable is discussed. Flight results are shown for the sinusoidal, and time and distance referenced cubic spline trajectory definitions.
Optimization of arterial age prediction models based in pulse wave

We propose the detection of early arterial ageing through a prediction model of arterial age based in the coherence assumption between the pulse wave morphology and the patient's chronological age. Whereas we evaluate several methods, a Sugeno fuzzy inference system is selected. Models optimization is approached using hybrid methods: parameter adaptation with Artificial Neural Networks and Genetic Algorithms. Features selection was performed according with their projection on main factors of the Principal Components Analysis. The model performance was tested using the bootstrap error type . 632E. The model presented an error smaller than 8.5%. This result encourages including this process as a diagnosis module into the device for pulse analysis that has been developed by the Bioengineering Laboratory staff.
The estimation of road traffic states based on compressive sensing

The accurate estimation of traffic states of the road traffic network can provide decision-making for both travellers and traffic managers. In this paper, an algorithm based on compressive sensing is presented to estimate traffic states of the road traffic network. Firstly, the compressive sensing theory is presented. Then to make sure that the compressive sensing theory can be applied to the estimation of traffic states of the road traffic network, the compressibility analysis of the road traffic states data is discussed. Finally, the road traffic states estimation approach based on compressive sensing is presented. The applications of this road traffic states estimation algorithm are also discussed. One typical road network in Beijing is adopted for case studies. The final results of the experiments are listed, which prove that this traffic states estimation approach based on compressive sensing is feasible and can achieve a high accuracy.