Miracle-dz/UniFAR-FTUs huggingface dataset:
FKmeans: A Fast Data Classification Technique to Handle Big Data Collected in Sensor Network

In recent times, The development of wireless sensor netwoks (WSNs) assumes a noteworthy job in the ascent of big data as a large number of their applications gather enormous amounts of data that require processing. Therefore, WSN faces two noteworthy difficulties. To begin with, it handles the big data collection, and second, the energy of sensors will be drained rapidly because of the immense volume of data gathering and transmission. Subsequently, flow look into has been centered around data classification as a proficient technique to decrease big data accumulation in WSNs along these lines upgrading their lifetime. This paper proposes a fast data classification technique called FKmeans, i.e. Fast Kmeans, committed to periodic applications in WSNs. FKmeans comprises of two phase algorithm to improve the time cost of separation estimation of conventional Kmeans calculation accordingly, guarantee ensure fast data delivery to the sink node. The main stage, i.e. center selection stage, chooses a little segment of datasets with the end goal to locate the most ideal area of the centers. The second stage, i.e. cluster formation stage, uses the conventional Kmeans algorithm adopted to the Euclidean distance where the underlying centers utilized are taken from the primary stage. Our proposed technique is validated via simulations on real sensor data and comparison with the conventional Kmeans algorithm. The gotten outcomes demonstrate the adequacy of our technique regarding enhancing the energy utilization and data conveyance delay, without loss in data fidelity. Keywords—Wireless sensor networks, Periodic applications, Data Clustering, FKmeans Algorithm, Real Sensor Data.
Study on fracture behaviour of basalt fibre reinforced asphalt concrete with plastic coupled cohesive model and enhanced virtual crack closure technique model

ABSTRACT In this study, the plastic coupled cohesive model and enhanced virtual crack closure technique (VCCT) are used to investigate the fracture behaviour of the basalt fibre reinforced asphalt concrete (BFRAC). In the plastic coupled cohesive model, the separation and traction response along the cohesive zone advance ahead of a crack tip is governed by an exponential cohesive law. The double-K fracture theory is integrated into the enhanced VCCT model. It is shown that the simulated load-cracking mouth opening displacement (P-CMOD) curves from both the plastic coupled cohesive model and the enhanced VCCT model compares favourably with the measured curves from the single-edge notched beam. The parameters used in the plastic coupled cohesive model cannot directly be obtained from the standard test, and the inverse analysis method is always necessary for identifying the fracture parameters. On the contrary, the fracture parameters in the enhanced VCCT method can be directly calculated from the P-CMOD curves based on the double-K fracture theory and the finite plastic fracture theory (Hutchinson, Rice, Rosengren singular crack tip fields, abbreviated as HRR field). Meanwhile, compared with the plastic coupled cohesive model, the enhanced VCCT model coupled with the Ramberg–Osgood elasto-plastic harden model is promising for investigating the physical mechanism underlying the nonlinear fracture of BFRAC. This paper proposed two concrete and valuable models in the finite element method for simulating the fracture behaviour of the huge structure with asphalt and asphalt concrete.
Blockchain-based Management for Organ Donation and Transplantation

Today’s organ donation and transplantation systems pose different requirements and challenges in terms of registration, donor-recipient matching, organ removal, organ delivery, and transplantation with legal, clinical, ethical, and technical constraints. Therefore, an end-to-end organ donation and transplantation system is required to guarantee a fair and efficient process to enhance patient experience and trust. In this paper, we propose a private Ethereum blockchain-based solution to enable organ donation and transplantation management in a manner that is fully decentralized, secure, traceable, auditable, private, and trustworthy. We develop smart contracts and present six algorithms along with their implementation, testing, and validation details. We evaluate the performance of the proposed solution by performing privacy, security, and confidentiality analyses as well as comparing our solution with the existing solutions. We make the smart contract code publicly available on Github.
Numerical Studies on a Severe Dust Storm in East Asia Using WRF-Chem

Dust storm is one of the important natural disasters, which can have significant impact on terrestrial ecosystem, global climate, air quality and human health. In Mar. 19-23, 2010, a serious dust storm occurred over East Asia. It started from Mongolia, initially extending to the east, turning to the South of China, then back to the Northeast Asia. About 20% of the areas in China suffered from this severe dust event and the air was heavily polluted with massive airborne particulates. The Air Pollution Index (API) in many cities exceeded 500 when dust storm passed by, while the maximum surface PM10 concentration reached 1900 µg/m3 in east area. The coarse particles were dominated in PM10, with fine particles named as PM2.5 only accounting for 5% - 20% at cities along the dust moving track in South and East China. MODIS and CALIPSO satellite data were used to investigate the horizontal and vertical patterns of optical parameters of dust aerosol. The average AOD reached 2 - 2.5 on dust days in most southeast regions. The dust can be transported up to 5 Km with maximum aerosol extinction coefficient of 0.35 - 0.4 at 1 - 3 Km in vertical. Synoptic weather was analyzed to understand the meteorological conditions and the backward trajectories were calculated to investigate the movements of air mass. The WRF-Chem model (Version 3.2) was applied to simulate the transport and deposition of the dust aerosols. The performance of Shaw (2008) and Chin (2002) parameterization schemes for dust emissions in WRF-Chem were evaluated. Modeling results were compared with the CUACE-Dust and RegCCMS. Investigations show that WRF-Chem has capability on simulations on dust emission, long range transport and deposition. Shaw (2008) scheme gives more reasonable spatial distribution of dust aerosols, while Chin (2002) scheme presents more better results in terms of PM10 surface concentration simulation. It is suggested that two schemes can be used at the same time in terms of simulation of dust pattern and concentration.
IDCam: Precise Item Identification for AR Enhanced Object Interactions

Augmented reality (AR) promises to revolutionize the way people interact with their surroundings by seamlessly overlaying virtual information onto the physical world. To improve the quality of such information, AR systems need to identify the object with which the user is interacting. AR systems today heavily rely on computer vision for object identification; however, state-of-the-art computer vision systems can only identify the general object categories, rather than their precise identity. In this work, we propose IDCam, a system that fuses RFID and computer vision for precise item identification in AR object-oriented interactions. IDCam simultaneously tracks users’ hands using a depth camera and generates motion traces for RFID-tagged objects. The system then correlates traces from vision and RFID to match item identities with user interactions. We tested our system through a simulated retail scenario where 5 participants interacted with a clothing rack simultaneously. In our evaluation study deployed in a lab environment, IDCam identified item interactions with an accuracy of 82.0% within 2 seconds.
Zero Leakage Current Single-Phase Quasi-Single-Stage Transformerless PV Inverter With Unipolar SPWM

Power inverters for distributed photovoltaic (PV) power generation systems usually need to fulfill several requirements, e.g., the safety, the voltage boost capability, and the reduced volume and the cost. An improved transformerless single-phase quasi-single-stage common-mode PV inverter with four switches and an improved unipolar modulation strategy are proposed in this article. The inverter features double-grounded to solve potential safety issues caused by the leakage current. In addition, its voltage boosting is accomplished by a quasi- single-stage conversion structure so that PV system efficiency can be improved. Meanwhile, it benefits continuous input current so is suitable for PV application. In this article, the operation principle of the proposed inverter, the improved modulation strategy, and two grid-tied control strategies are introduced. The voltage and current stresses of the components are analyzed, and parameter design guideline is further given. Both the off-grid and grid-tied experiments were conducted to verify the theoretical analysis.
A Helmholtz Potential Approach to the Analysis of Guided Wave Generation During Acoustic Emission Events

This paper addresses the predictive simulation of acoustic emission (AE) guided waves that appear due to sudden energy release during incremental crack propagation. The Helmholtz decomposition approach is applied to the inhomogeneous elastodynamic Navier–Lame equations for both the displacement field and body forces. For the displacement field, we use the usual decomposition in terms of unknown scalar and vector potentials, U and H. For the body forces, we hypothesize that they can also be expressed in terms of excitation scalar and vector potentials, A and B . It is shown that these excitation potentials can be traced to the energy released during an incremental crack propagation. Thus, the inhomogeneous Navier–Lame equation has been transformed into a system of inhomogeneous wave equations in terms of known excitation potentials A and B and unknown potentials U and H. The solution is readily obtained through direct and inverse Fourier transforms and application of the residue theorem. A numerical study of the one-dimensional (1D) AE guided wave propagation in a 6 mm thick 304-stainless steel plate is conducted. A Gaussian pulse is used to model the growth of the excitation potentials during the AE event; as a result, the actual excitation potential follows the error function variation in the time domain. The numerical studies show that the peak amplitude of A0 signal is higher than the peak amplitude of S0 signal, and the peak amplitude of bulk wave is not significant compared to S0 and A0 peak amplitudes. In addition, the effects of the source depth, higher propagating modes, and propagating distance on guided waves are also investigated. [DOI: 10.1115/1.4038116]
Self-Report and Administrative Data on Disability and IEP Status: Examining Differences and Impacts on Intervention Outcomes

Differences in perceptions of disability between students and administrators can play a role in youth’s educational experience. This study used data from a cluster randomized controlled trial (C-RCT) of the Self-Determined Learning Model of Instruction (SDLMI) to first compare student self-report of disability status to matched administrative data and second to examine the impact of the data source utilized on trial outcomes. The findings demonstrate substantive gaps between self-reports and administrative reports of disability. While some differences might be expected, the size of the differences is notable, especially given that many students identified as having an Individualized Education Program in administrative data did not self-identify as receiving services or having a disability. The findings advance understanding of discrepancies in self-reported disability and administrative data in secondary intervention research. We also found the interpretation of group differences (students with vs. without disabilities) on trial outcomes was sensitive to the source of the data (self vs. administrative) used to establish disability status. This finding can inform future research and policy, as the data source selected to define disability populations across research studies likely has substantive impacts on conclusions drawn about the impact of interventions on students with disabilities. We cannot identify all the factors driving these differences. Nonetheless, the findings underscore the importance of providing clarity about decisions made in defining disability populations in intervention research.
Media Attention, Environmental Information Disclosure and Corporate Green Technology Innovations in China’s Heavily Polluting Industries

ABSTRACT Green technology innovation is an effective way to overcome the constraints of combining resources and environment. This paper focuses on the impacts of media attention and corporate environmental information disclosure on green technology innovation of China’s 487 listed heavily polluting companies from 2007 to 2019. The corporate environmental information disclosure was measured using text analytics and data mining and considering the impacts of political connections. The results indicate that: (1) both positive and negative media attention and the quality of environmental information disclosure significantly contribute to corporate green technology innovation, with negative media attention having a more substantial impact than positive media attention; (2) The environmental information disclosure of China’s heavily polluting industries acts as a mediator in the impact of negative media attention on enterprise green technology innovation; (3) Political connection as a moderating factor has a major suppressive impact on the mediating model. This paper enriches the research relevant to the drivers of green technology innovation in enterprises. It also provides new ideas for exploring the research on the influence on green technology innovation behavior from the perspective of political connections.
Diagnostic tools for assessment of cognitive functioning in children and youth – the implementation project

PurposeThe aim of this article is to present the application value of a diagnostic toolkit for assessment of cognitive functions based on a proprietary Multidimensional Model of Cognitive Functioning which combines executive functions with the field of perception, language, and communication. ThesesThe developed tools assess the level of executive functions (attention control, working memory, cognitive flexibility, and reasoning), the speed of perceptual processes, as well as linguistic functions in terms of speech- and writing-based communication. ConclusionsAll tasks have been prepared in a computer-based version. The innovativeness of the proposed battery of tests stems from the fact that the adopted model creates a coherent theoretical framework for the entire spectrum of functions describing the effectiveness of cognitive processing in people of different ages and varying educational needs. In the context of the tools available in psychological and pedagogical counselling centres, this technically advanced tool will be the first test available on the Polish market covering such a broad spectrum of cognitive functions. The tool has been designed to enable the diagnosis of diverse groups of people with special educational needs – from gifted children, through people with intellectual disabilities, visual and hearing impairments, neurodevelopmental disorders (e.g. autism), and language disorders and dyslexia, to migrant children. This broad scope of application was made possible by implementing the WCAG 2.1 and universal design principles.
Supplementary Information-Large Scale High-Resolution Land Cover Mapping with Multi-Resolution Data

Here we provide a description and screenshots of the web application described in the main paper. Users are able to “paint” over existing basemaps (in this case the ESRI World Imagery or OpenStreetMap) with either precomputed model output or on-the-fly model output computed on a server. Users can change the opacity of the painted land cover layer to see how it aligns with the observed imagery, change class weights to create a better fit, and submit the corrections to be included in future rounds of model training or loaded by other users. See https://aka.ms/cvprlandcover.
SubsumptionArchitectureApplied toFlightControlusing CompositeRotations

In this paper the subsumption theory is applied to flight control through composite rotations where multiple tasks can be defined as simple rotations. The tasks can then be arranged as a hierarchy, where the primary task is always fully pursued, and conflicting lower level tasks are removed by the primary rotation. The concept is applied to a group of uavs that move through an urban terrain while avoiding collisions with the ground, the buildings and other uavs as they track a desired waypoint.
FAULT DIAGNOSTICS OF SYNCHRONOUS MOTOR BASED ON ANALYSIS OF ACOUSTIC SIGNALS WITH THE USE OF HAAR WAVELET TRANSFORM AND NEAREST MEAN CLASSIFIER

This paper presents a technique for fault diagnosis of synchronous motor. This technique used acoustic signals generated by synchronous motor. An analysis was carried out for three conditions of synchronous motor: faultless motor, motor with shorted stator coils, motor with one broken coil in stator circuit. Studies were carried out for methods of data processing: Haar Wavelet Transform and Nearest Mean classifier with Manhattan distance. Patterns creation process was carried out for 30 training samples of acoustic signals. Identification process used 72 test samples. The results of recognition were presented and discussed in the paper. The proposed approach based on computational methods is effective in detecting faults occurring in synchronous motor
The effect of talk test-based aerobic exercise on pulmonary functions and quality of life among adults with type 2 diabetes mellitus: A randomized controlled trial

Introduction: Talk test is widely accepted and costless subjective tool for exercise intensity prescription. However, its utility in diabetes rehabilitation is unexplored. Therefore, the objective of present study was to evaluate the effectiveness of talk test based aerobic exercise on pulmonary function test (PFT) and quality of life (QOL) among adults with Type 2 diabetes mellitus (T2DM). Material and methods: 90 patients were assigned to three groups: talk test group (TTG = 30), rating of perceived exertion group (RPEG = 30), and Control Group (CG = 30). 8-wks of supervised training was followed by 4-wks of unsupervised exercise at home for both the experimental groups. Forced Vital Capacity (FVC) and Forced Expiratory Volume at 1st second (FEV1) were measures of PFT. QOL was assessed through World Health Organization Quality of Life-brief Questionnaire (WHOQOL-BREF). Results: PFT improvement in TTG & RPEG is superior to CG. However, there is no significant between group differ ence (p > 0.05). Further, the effect size in TTG was lesser than RPEG from baseline to 8-wk, 1.21 versus 1.46 and 1.42 versus 1.56 respectively for FVC and FEV1. However, it was more in TTG i.e. 1.26 and 1.08 in comparison to RPEG i.e. 0.51 and 0.57 respectively for FVC and FEV1 from 8-wk to 12-wk. The improvement in all the domains of QOL was significantly high in TTG & RPEG (p < 0.01) as compared to CG. Conclusions: The PFT and QOL among adults with T2DM can be improved through the aerobic exercise based on talk test. Additionally, talk test based exercise is more effective than RPE based exercise during unsupervised sessions.
Accuracy of Balloon Trajectory Forecasts in the Lower Stratosphere

This paper investigates the accuracy of simulated long-duration super-pressure balloon trajectories in the lower stratosphere. The observed trajectories were made during the (tropical) Pre-Concordiasi and (polar) Concordiasi campaigns in 2010, while the simulated trajectories are computed using analyses and forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecast System model. In contrast with the polar stratosphere situation, modelling accurate winds in the tropical lower stratosphere remains challenging for numerical weather prediction systems. The accuracy of the simulated tropical trajectories are quantified with the operational products of 2010 and 2016 in order to understand the impact of model physics and vertical resolution improvements. The median errors in these trajectories are large (typically ≳ 250 km after 24 h), with a significant negative bias in longitude, for both model versions. In contrast, using analyses in which the balloon-borne winds have been assimilated reduces the median error in the balloon position after 24 h to ∼60 km. For future campaigns, we describe operational strategies that take advantage of the geographic distribution and the episodic nature of large error events to anticipate the amplitude of error in trajectory forecasts. We finally stress the importance of a high vertical resolution in the model, given the intense shears encountered in the tropical lower stratosphere.
Petrology and geochemistry of feldspathic impact‐melt breccia Abar al' Uj 012, the first lunar meteorite from Saudi Arabia

Abar al' Uj (AaU) 012 is a clast‐rich, vesicular impact‐melt (IM) breccia, composed of lithic and mineral clasts set in a very fine‐grained and well‐crystallized matrix. It is a typical feldspathic lunar meteorite, most likely originating from the lunar farside. Bulk composition (31.0 wt% Al2O3, 3.85 wt% FeO) is close to the mean of feldspathic lunar meteorites and Apollo FAN‐suite rocks. The low concentration of incompatible trace elements (0.39 ppm Th, 0.13 ppm U) reflects the absence of a significant KREEP component. Plagioclase is highly anorthitic with a mean of An96.9Ab3. 0Or0.1. Bulk rock Mg# is 63 and molar FeO/MnO is 76. The terrestrial age of the meteorite is 33.4 ± 5.2 kyr. AaU 012 contains a ~1.4 × 1.5 mm2 exotic clast different from the lithic clast population which is dominated by clasts of anorthosite breccias. Bulk composition and presence of relatively large vesicles indicate that the clast was most probably formed by an impact into a precursor having nonmare igneous origin most likely related to the rare alkali‐suite rocks. The IM clast is mainly composed of clinopyroxenes, contains a significant amount of cristobalite (9.0 vol%), and has a microcrystalline mesostasis. Although the clast shows similarities in texture and modal mineral abundances with some Apollo pigeonite basalts, it has lower FeO and higher SiO2 than any mare basalt. It also has higher FeO and lower Al2O3 than rocks from the FAN‐ or Mg‐suite. Its lower Mg# (59) compared to Mg‐suite rocks also excludes a relationship with these types of lunar material.
Comparative study on CCTIG welding and PCTIG welding of GH4169 under the same heat input

GH4169 is a nickel-based superalloy, but high welding heat input and the harmful precipitates of the Laves phase seriously affect the mechanical properties of the welding joint. In this study, constant current tungsten inert gas welding (CCTIG) and pulsed current tungsten inert gas welding (PCTIG) were used to weld the GH4169 alloy sheet under the same heat input. After welding, the relationship between microstructure and comprehensive mechanical properties was analyzed. According to the results, under the same heat input: (1) The PCTIG welded joint has narrower weld and denser microstructure. (2) The pulse current improved the segregation of Nb element at the weld, and then reduced the precipitation of the Laves phase. (3) Pulse current improved the comprehensive mechanical properties of weld metal. The tensile strength and elongation were increased by 18% and 79% respectively.