Miracle-dz/UniFAR-FTUs huggingface dataset:
Divergent instability control of aeroelastic system driven by aerodynamic forces under disturbance based on discrete sliding mode control algorithms

Divergent instability control of 2D pretwisted blade section of wind turbine driven by aerodynamic forces under disturbance is investigated. Realization of divergent instability control is based on two types of discrete sliding mode control algorithms. The structure is modeled as 2D pretwisted blade section integrated with structural damping, which is driven by aerodynamic model with perturbed disturbance. Discrete sliding mode control algorithm suitable for disturbance control is investigated to control divergent flap/lead-lag vibrations of blade section. To increase convergence performance and reduce the chattering phenomenon, discrete sliding mode control based on disturbance observer is applied. Convergence of disturbance observer is analyzed, and stability of closed-loop system is discussed. The simulation results show that not only the convergence accuracy can be improved by sliding mode control based on disturbance observer controller, but also the displacement chattering and the control input chattering can be effectively eliminated. Compared with conventional discrete sliding mode control, it has more advantages in the control of divergent instability. To facilitate the real-time realization and automation and at the same time to ensure accuracy, a design of quadratic feedback to build the performance control matrix in sliding mode control based on disturbance observer is developed in present study.
paving the path to ward strategic agility...pdf

Purpose: For organizations competing in volatile environments, strategic agility is the key for sustaining in the market. It is essential for such organizations to identify the main agility indicators that contribute to their strategic core. The purpose of this paper is to propose and test a systematic methodology that identifies key agility indicators through prioritization and establishing the intraand inter-relationships among them. Design/methodology/approach: The methodology consists of four phases. Phase I forms a pool of agility key performance indicators (KPIs). Phase II categorizes and ranks the KPIs based on their importance and the gap that exists between their current and desired level. Using interpretive structural modeling (ISM), phase III establishes the intrarelationships among the KPIs as well as agility attributes, agility enablers, and improvement paths, collectively referred to as agility indicators. Finally, phase IV analyzes the inter-relationships among agility indicators using three consecutive houses of quality (HOQs). Findings: To demonstrate the capability of the proposed methodology, it was applied to a dairy food company operating in a competitive environment. The application could address the shortcomings of previous agility methodologies and helped the company to assign resources to the right agility indicators with the highest influence on strategic agility. Research limitations/implications: The methodology was applied to a single organization only. The application does not include long-term post-implementation observations and measurement of strategic agility. Practical implications: Practitioners can benefit from the methodology to identify the right agility indicators of their organization and assign organizational resources for the improvement of such indicators. The methodology ensures selecting indicators that contribute to organization’s strategic agility, although ostensibly seem unrelated. Originality/value: The paper contributes to the literature of strategic and organizational agility by proposing a systematic methodology that considers both intraand interrelationships among agility indicators. The methodology also makes a decent contribution in addressing organizational ambidexterity by analyzing mutually exclusive indicators pertaining to current and future opportunities for the organization.
Wideband RCS reduction using polarization cancelation method

Polarization cancelation method to reduce the monostatic radar cross section (RCS) is investigated thoroughly. The inherent bandwidth of rotatable unit cells is determined. Also, 0‐dB RCS reduction bandwidth of any arbitrary method including polarization cancelation method is investigated. A special unit cell is proposed to reduce RCS over 100% fractional bandwidth. Finally, a structure is fabricated and measured so that results in verifying the performance of the proposed unit cell.
E-learning task analysis making temporal evolution graphics on symptoms of waves and the ability to solve problems

This study aimed to describe the ability of pre-service teachers to create graphs, solve the problem of spatial and temporal evolution on the symptoms of vibrations and waves. The learning was conducted using e-learning method. The research design is a quasi-experimental design with one-shot case study. The e-learning contained learning materials and tasks involving answering tasks, making questions, solving their own questions, and making graphs. The participants of the study was 28 students of Science Department, Universitas Negeri Surabaya. The results obtained by using the e-learning were that the students’ ability increase gradually from task 1 to task 3 (the tasks consisted of three tasks). Additionally, based on the questionnaire with 28 respondents, it showed that 24 respondents stated that making graphs via e-learning were still difficult. Four respondents said that it was easy to make graphs via e-learning. Nine respondents stated that the e-learning did not help them in making graphs and 19 respondents stated that the e-learning help in creating graphs. The conclusion of the study is that the students was able to make graphs on paper sheet, but they got difficulty to make the graphs in e-learning (the virtual form).
A 15‐MHz bandwidth double sampling MASH25b‐15b sigma‐delta modulator with DEM for multibit DACs

A high SNDR discrete‐time (DT) 2‐1 MASH sigma‐delta modulator (SDM) for 15‐MHz bandwidth was presented. Cascade of integrators with feedforward (CIFF) scheme, combined with the optimized gain coefficients, was adopted to avoid of the integrators. Double sampling technique was employed to relax the OPA settling requirements by halving the clock frequency and therefore reduce the power consumption. Five‐bit flash quantizer was adopted in both stages to improve the overall signal‐to‐noise and distortion ratio (SNDR) performance, and third‐order dynamic element matching (DEM) was analyzed and applied for the multibit DACs to suppress the element mismatch noise. Fabricated in a mature 0.18‐μm CMOS technology, the occupied area of the modulator was 0.24 mm2 and dissipation power 25.4 mW from a 1.8‐V voltage supply. As a sampling rate of 240 MHz for the input sampling and DAC and 480 MHz for the flash ADC, a SNDR of 90.2 dB over 15‐MHz signal bandwidth and the corresponding effective number of bits (ENOB) of 14.69 bit were achieved. The spurious‐free dynamic range (SFDR) was 98 dB with DEM turned on for a 3.75 MHz at −2.5‐dBFS input signal, and the figure of merit (FOM) was 30.7 fJ/conv. for 15‐MHz bandwidth. A 15‐MHz bandwidth multibit MASH2‐1 discrete‐time sigma‐delta modulator was proposed. Double sampling technique was employed to relax the OPA settling requirements by halving the clock frequency and therefore reduce the power consumption. High‐order DEM was analyzed and applied for the multibit DACs to suppress the element mismatch noise. Fabricated by a 0.18‐μm CMOS process, the modulator achieved a SNDR of 90.2 dB and the corresponding ENOB 14.69 bit over 15‐MHz signal bandwidth. The proposed modulator was very suitable for wideband applications including wireless communication systems, high‐frequency biomedical imaging or sensing systems, and so on.
The Importance Of ICT In Eradicating Corruption: Evidences From Across Continents

: This work aims to describe the effort of corruption prevention across global countries. We analyzed over seven significant publishers with a total of 126 keywords to find the most suitable publishers and the best keywords for our research. After determining the keyword and publisher, we analyzed 101 records of journal articles in Taylor and Francis publisher. We analyze all the aspects, including meta-data for each record, topic of research, object of research, and we also added consideration of ICT aspect inclusion in each record. Our findings suggest that: (1) there are more research in Africa and Europe compared to the rest of the world; (2) corruption prevention effort mentioning ICT has increased 4.5 times in the time period of 2016-2018 compared to 2013-2015; (3) there are more research focusing in practicability and less in basic research in the time period of 2016-2018 compared to 2013-2015. We are hoping that this research can be used as a baseline in the future multi-continent studies.
Tecnologia Social: a doação na perspectiva do aplicativo Solidarius

portuguesOs dispositivos moveis e seus aplicativos vem provocando mudancas significativas na sociedade em geral. Os aplicativos sociais sao categorizados como ferramentas da tecnologia social e surgem com uma finalidade alternativa ao desenvolvimento tecnologico focado na producao, no consumo, na vigilância e na gestao do individuo. Este artigo analisa as motivacoes do uso de um aplicativo social para a realizacao de doacoes para familias carentes. Aborda o aplicativo Solidarius que foi criado para a realizacao de doacoes para o grupo de assistencia social Sociedade Sao Vicente de Paulo – Vicentinos. Conclui-se que a solidariedade mediada pela tecnologia, apesar de ser anonima, possibilita a existencia de um vinculo, que permite ao usuario um sentido de pertencimento a uma instituicao ou a uma causa maior que ele mesmo, alem de gerar os sentimentos de satisfacao e gratidao. EnglishMobile devices and their applications have brought about significant changes in society in general. Social applications are categorized as tools of social technology and come with an alternative purpose to technological development focused on the individual production, consumption, surveillance and management. This article analyzes the motivations of using a social application to make donations to needy families. It addresses the Solidarius application that was created to make donations to the social assistance group Sociedade Sao Vicente de Paula - Vincentinos. It is concluded that technology-mediated solidarity, despite being anonymous, allows the existence of a bond, which allows the user a sense of belonging to an institution or a cause greater than himself, in addition to generating feelings of satisfaction and gratitude.
The effect of particle-size distribution on the flotation of two South African coals

The flotation characteristics of two South African coals were investigated: one from the Dumacol Colliery in Natal, and the other from Landau Colliery in the Witbank Coal Field. Samples of fine coal (smaller than 1 mm)were studied, the Dumacol coal showing significantly better ash-liberation characteristics than the Landau coal. Neither coal was found to produce satisfactory flotation concentrates, except at very fine sizes. The poor flotation performance can be ascribed to the non-selective flotation of unliberated particles that may contain consid.erable quantities of ash. Flotation recoveries were greatest for particles between 100 and 200 ? m, and fell off rapidly as the size increased above 200 ? m. Very fine particles were found to float adequately, and acceptable concentrates can be made at comparatively high yields from materials smaller than 75 ? m. The flotation of ultrafine coal was demonstrated successfully in a continuous pilot plant. This result opens the way to a potentially viable industrial process for the beneficiation of ultrafines from the Witbank No. 2 seam, which for decades has been regarded as non-floatable.
Minimizing Ripples of Inductor Currents in Coupled SIDO Boost Converter by Shift of Gate Pulses

Single-input dual-output (SIDO) dc–dc converters have gained attention with the increasing need of multiple voltage levels. Magnetically coupled inductor SIDO (CI-SIDO) boost converter is the topology focused in this article. Ripples in inductor currents play important role in design of dc–dc converters and need to be as low as possible. The shift of one gate pulse with respect to another gate pulse has been used in converters, such as interleaved boost for reducing ripples. However, unlike interleaved boost, CI-SIDO boost has unequal output voltages and unequal inductances. The values of shifts, at which ripples are minimized, vary under different conditions of CI-SIDO boost. So, the analysis to reduce ripple in interleaved boost is not applicable for CI-SIDO boost. This article presents a detailed analysis of CI-SIDO boost converter for obtaining minimum ripples by shifting gate pulses. The analysis accounts for all permissible combinations of output voltages and inductances. Ranges of shifts in gate pulse are found, for all conditions, to achieve minimum ripple in each inductor current separately, and both inductor currents simultaneously. The practical applications of the analysis are shown by giving examples. The ranges found are verified by simulation in MATLAB/Simulink and experiments on laboratory prototype.
Implementation of SAM and MF Algorithms with Multi-Core Programming

In conjunction with the recent developments in remote sensing technologies, as a result of both the spatial and spectral resolution increases of the image data, the analysis operations made using this data have big difficulties in storage, transferring and processing. When the real/near real-time analysis of exponentially growing data is required online, the implementation of parallel approaches in critical applications, rather than the traditional methods that are inadequate, has become a necessity. In this paper, the Spectral Angle Mapper (SAM)and Matched Filter (MF)algorithms, which are frequently used in remote sensing applications, have been developed using OpenMP technology and have been integrated into a remote sensing application that works online. As a result of experiments, 3–4 times improvement for offline and 16–19 times improvement for online has been achieved when compared to MATLAB algorithms.
NIRS-EMG for Clinical Applications: A Systematic Review

In this review, we present an overview of the applications and computed parameters of electromyography (EMG) and near-infrared spectroscopy (NIRS) methods on patients in clinical practice. The eligible studies were those where both techniques were combined in order to assess muscle characteristics from the electrical and hemodynamic points of view. With this aim, a comprehensive screening of the literature based on related keywords in the most-used scientific data bases allowed us to identify 17 papers which met the research criteria. We also present a brief overview of the devices designed specifically for muscular applications with EMG and NIRS sensors (a total of eight papers). A critical analysis of the results of the review suggests that the combined use of EMG and NIRS on muscle has been only partially exploited for assessment and evaluation in clinical practice and, thus, this field shows promises for future developments.
Effect of the Surface Roughness on the Shear Strength of Granular Materials in Ring Shear Tests

Surface roughness plays an important role in estimating the shear strength of granular materials. A series of ring shear tests with different surface roughnesses (i.e., smooth and rough surfaces) were performed. A large-sized ring shear device, which is applicable for fine- and coarse-grained sediments, was developed to examine the shear strength of large particle sizes (i.e., commercial gravels with a mean grain size of 6 mm). In terms of surface roughness, the drainage- and shear-velocity-dependent shear strengths of the granular materials were examined. In this study, different shear velocities of 0.1, 0.5, and 1 mm/s were applied under drained and undrained conditions. The test results clearly show that shear stress is affected by drainage, shear velocity, and surface roughness. In particular, a typical strain-hardening behavior is exhibited regardless of the drainage and shear velocity condition. The measured shear strength obtained from both drained and undrained conditions increased with increasing shear velocity. All tests showed a large fragmentation using rough surfaces compared to the smooth surfaces of the device. The grain crushing was significant during shearing, even when normal stress was not applied. For a given shear velocity, surface roughness is an important feature in determining the shear strength of granular materials.
Identifying Foreign Tourists’ Nationality from Mobility Traces via LSTM Neural Network and Location Embeddings

The interest in human mobility analysis has increased with the rapid growth of positioning technology and motion tracking, leading to a variety of studies based on trajectory recordings. Mapping the routes that people commonly perform was revealed to be very useful for location-based service applications, where individual mobility behaviors can potentially disclose meaningful information about each customer and be fruitfully used for personalized recommendation systems. This paper tackles a novel trajectory labeling problem related to the context of user profiling in “smart” tourism, inferring the nationality of individual users on the basis of their motion trajectories. In particular, we use large-scale motion traces of short-term foreign visitors as a way of detecting the nationality of individuals. This task is not trivial, relying on the hypothesis that foreign tourists of different nationalities may not only visit different locations, but also move in a different way between the same locations. The problem is defined as a multinomial classification with a few tens of classes (nationalities) and sparse location-based trajectory data. We hereby propose a machine learning-based methodology, consisting of a long short-term memory (LSTM) neural network trained on vector representations of locations, in order to capture the underlying semantics of user mobility patterns. Experiments conducted on a real-world big dataset demonstrate that our method achieves considerably higher performances than baseline and traditional approaches.
Omnidirectional Multicamera Video Stitching Using Depth Maps

Omnidirectional vision has recently captured plenty of attention within the computer vision community. The popularity of cameras able to capture 360$^{\circ }$ has increased in the last few years. A significant number of these cameras are composed of multiple individual cameras that capture images or videos, which are stitched together at a later postprocess stage. Stitching strategies have the complex objective of seamlessly joining the images, so that the viewer has the feeling the panorama was captured from a single location. Conventional approaches either assume that the world is a simple sphere around the camera, which leads to visible misalignments on the final panoramas, or use feature-based stitching techniques that do not exploit the rigidity of multicamera systems. In this paper, we propose a new stitching pipeline based on state-of-the-art techniques for both online and offline applications. The goal is to stitch the images taking profit of the available information on the multicamera system and the environment. Exploiting the spatial information of the scene helps to achieve significantly better results. While for the online case, sparse data can be obtained from a simultaneous localization and mapping process, for the offline case, it is estimated from a 3-D reconstruction of the scene. The information available is represented in depth maps, which provide all information in a condensed form and allow easy representation of complex shapes. The new pipelines proposed for both online and offline cases are compared, visually and numerically, against conventional approaches, using a real data set. The data set was collected in a challenging underwater scene with a custom-designed multicamera system. The results obtained surpass those of conventional approaches.
A multi-disciplinary meta-review of the public–private partnerships research

Abstract Public-private partnerships (PPP) research is very diverse. This field of research covers different topics across multiple disciplines and is disseminated in many journals. This has led to numerous review studies with a single discipline focus that apply mostly subjective or descriptive analyses. With the purpose of providing an integrated overview of all the disciplines that involve PPP and uncovering connections between these, this research provides an extensive PPP literature meta-review that uses objective bibliometric measures on 1970 articles from 773 journals. The methodology involves ranking journals, identifying topical trends over 1989–2018, and clustering the literature to create a PPP knowledge map with associated research domains. The findings reaffirm that PPP is not only a multi-disciplinary research area but also a self-contained meta-discipline that integrates some allied disciplines with their foundational theories. The PPP meta-discipline is largely dominated by Construction Management and Economics (CME), Public Administration and Management, and Transportation Research disciplines, and integrates emerging topics such as sustainability, governance and stakeholders management. This study contributes to the CME scholarly community as it offers the first comprehensive meta-analysis of PPP literature and helps understanding PPP under the lens of a multi-disciplinary perspective.
Quantitative Severity Assessment and Sensitivity Analysis Under Uncertainty for Harmonic Resonance Amplification in Power Systems

Harmonic resonances exist inherently in power systems with varying affected areas and amplification levels. This paper presents a quantitative harmonic resonance assessment technique with sensitivity analysis under uncertainty to reveal the affected areas of a harmonic resonance and corresponding amplification severities at different buses. Resonance amplification conditions at the harmonic source bus (localized resonance) and non-harmonic-source bus (non-localized resonance) are distinguished, respectively, and then a novel index to quantify the harmonic propagation areas and corresponding amplification severities are established based on harmonic electrical distances. Apart from local sensitivity analysis (SA), a global SA method is further used to perform the SA of system uncertain parameters, and three types of sensitivity parameters are distinguished and defined. In addition, comparative analysis of the proposed method with existing harmonic resonance analysis methods shows that the proposed method can not only provide more information for harmonic resonance analysis and control but is also easy and practical.
Characteristic Mode Cancellation Method and Its Application for Antenna RCS Reduction

This letter proposed a characteristic mode cancellation method for design of an antenna radar cross section (RCS) reduction. Two kinds of subarrays whose unit cells are composed of a square patch with a circle hole and a cross patch, respectively, are designed. With the characteristic mode theory, the currents represented by the characteristic modes of two subarrays flow in an opposite direction. By arranging two subarrays into a checkerboard patterned array, cancellation of their characteristic modes is achieved and, thus, the resultant RCS of the whole array is greatly reduced. The checkerboard array is integrated with a microstrip antenna to reduce its RCS. The simulated and measured results are in good agreement and show that with the checkerboard array, the operating band of the reference microstrip antenna covering 8.32–9.32 GHz keeps unchanged, and the −10 dB broadband RCS reduction both in band and out of band of the microstrip antenna is from 6.4 to 21.4 GHz with an in-band gain increase of 1 dB.