Miracle-dz/UniFAR-FTUs huggingface dataset:
ENHANCED REFRACTOMETRIC OPTICAL SENSING BY USING ONE-DIMENSIONAL TERNARY PHOTONIC CRYSTALS

One-dimensional ternary photonic crystals are suggested as refractometric sensing elements, for sensing very small refractive index changes of a medium. These one-dimensional ternary photonic crystals based refractometric sensing elements are not only remarkably smaller, but are also more sensitive than one-dimensional binary photonic crystal based sensing element recently suggested by researchers.
Age, climate and intra-annual density fluctuations in Pinus halepensis in Spain

Intra-annual density fluctuations (IADFs) in tree rings of Aleppo pine (Pinus halepensis) are considered to be among the most promising wood anatomical features in dendrochronological studies. They provide environmental information in addition to those obtained from tree-ring widths. We used a network of 35 sites in Spain, ranging from nearly desert to temperate climate. We analysed tree-ring series of 529 trees to study IADF frequencies, and their dependence on climatic factors and cambial age. The results showed that IADF frequency is age dependent, with its maximum at the cambial age of 27 years (evaluated at breast height). The frequencies varied across the network and at different sites we recorded that 0.3% to 33% of the analysed tree rings contained IADFs. They were more frequent where and when the temperatures were higher, summer drought was intense and autumn was the main precipitation season. IADF formation was particularly related to high minimum temperatures and wet conditions in late summer and autumn. These results suggest that IADF formation is not related to stressful conditions during summer but to favourable conditions during autumn. These conditions promote cambial reactivation and consequently formation of wider tree rings.
Research on Flight Grasps System of Four-rotor Aircraft Based on Vision

In order to ensure interior target is grabbed by the four-rotor aircraft, the camsift algorithm of OpenCV is adopted, through the recognition of the target, at the same time, the positioning of the aircraft and alignment of target are conducted to achieve grab. The target object is placed on the ground and the image is collected, the center point of the target object and relative position of the aircraft is determined, the gesture of aircraft is adjusted by airborne vision sensor, until the target is located below the aircraft. When the aircraft dropped to the height of the calculation, the images are captured by vision sensor of end-effector, until gripper with two degree of freedom is aligned with the object be grabbed. The results show that the scheme can meet the requirements of flight grasps of the four-rotor aircraft, and with high precision.
AUTOMATED CALIBRATION OF FEM MODELS USING LIDAR POINT CLOUDS

Abstract. In present work it is pretended to estimate elastic parameters of beams through the combined use of precision geomatic techniques (laser scanning) and structural behaviour simulation tools. The study has two aims, on the one hand, to develop an algorithm able to interpret automatically point clouds acquired by laser scanning systems of beams subjected to different load situations on experimental tests; and on the other hand, to minimize differences between deformation values given by simulation tools and those measured by laser scanning. In this way we will proceed to identify elastic parameters and boundary conditions of structural element so that surface stresses can be estimated more easily.
Human Machine Interface Based on Eye Wink Detection

The research of human-computer interfaces has become a growing field in computer science, which aims to attain the development of more natural, intuitive, unobtrusive and efficient interfaces. The present work describes a Human Machine Interface Based on Eye Wink Detection for helping the severely handicapped people to manipulate the household devices and to perform day to day activities. Algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the eye state based on skin colour segmentation. Binary values 1 and 0 is assigned based on the opening and closing of eye. Finally applying the dynamic programming to translate the code sequences to a certain valid command. Experiment conducted for different test video displayed significant results which is carried out with different set of inputs. DOI: http://dx.doi. org/10.11591/ij-ict.v2i2. 3927
Direct Current Generation in Carbon Nanotubes by Terahertz Field

We report on a theoretical investigation of a direct current generation in carbon nanotubes (CNTs) that are stimulated axially by terahertz (THz) field. We consider the kinetic approach based on the semiclassical Boltzmann’s transport equation with constant relaxation time approximation, together with the energy spectrum of an electron in the tight-binding approximation. Our results indicate that for strong THz-fields, there is simultaneous generation of DC current in the axial and circumferential directions of the CNTs, even at room temperature. We found that a THz-field can induce a negative conductivity in the CNTs that leads to the THz field induced DC current. For varying amplitude of the THz-field, the current density decreases rapidly and modulates around zero with interval of negative conductivity. The interval decreases with increasing the amplitude of the THz-field. We show that the THz-field can cause fast switching from a zero DC current to a finite DC current due to the quasi-ballistic transport, and that electron scattering is a necessary condition for switching.
ELECTRIC VEHICLE EMULATION BASED ON INERTIAL FLYWHEEL AND A DC MACHINE

This paper describes the analysis, modeling, and simulation of an electric vehicle (EV) focused on developing a test bench for reproducing EV dynamics. The EV test bench is composed of an induction motor (IM) drive, which is directly coupled to a dc machine and to an inertial flywheel through a transmission system with bands. The inertial flywheel and the DC machine reproduce the dynamic and forces acting on the EV. A methodology is proposed to design EV test bench to study the EV behavior close to the real test conditions. The EV forces and DC machine analysis can define the different conditions of the EV operation. The modeling and simulation are developed in MATLAB/Simulink, the test bench implemented is controlled by a DSP. Finally, simulation and experimental obtained results can validate the operation of the test bench emulator.
Réflections sur l'alternance qualcosa / qualche cosa en italien

Cet article aborde la question des variantes qualcosa / qualche cosa en italien, que diverses grammaires donnent pour equivalentes; la variation formelle de cette expression est en effet generalement portee au benefice de contraintes de nature exclusivement stylistique. On montre d'une part que qualcosa est derive de qualche cosa moyennant l'effacement de la syllabe finale de qualche: on analyse cet effacement comme un cas d'haplologie; on fait d'autre part l'hypothese que le domaine fonctionnel des deux formes qualcosa et qualche cosa ne se recoupe que partiellement: l'une et l'autre presentent en effet des particularites qu'elles possedent en propre et qui de ce fait interdisent de les considerer comme etant equivalentes.
Evaluation of Food Product Packaging Design: An Empirical Study of Consumer Attitudes in the Capital City of Amman

The study examined consumer attitudes towards the quality of packaging design of food products in Jordan, based on the VIEW model of product packaging. The study is based on a fieldwork and a judgement sample of 400 consumers located in shopping centers in the capital city of Amman. The data were analyzed, using various statistical techniques, such as Frequency analysis, Descriptive analysis, Factor analysis and, One Way ANOVA. The main results showed that consumers were not satisfied enough with the quality of packaging design of food products, particularly the workability aspects. Moreover, the analysis revealed significant differences in consumer attitudes due to age and income variables. In light of the research findings, appropriate recommendations were made.
A Framework for Verification of Signal Propagation Through Sequential Nanomagnet Logic Devices

Nanomagnet Logic is an emerging technology for low-power, highly-scalable implementation of quantum-dot cellular automata. Feedback permits reuse of logical subroutines, which is a desired functionality of any computational device. Determining whether feedback is feasible is essential to assessing the robustness of nanomagnet logic in any pipelined computing design. Therefore, development of a quantitative approach for verification of feedback paths is critical for development of design and synthesis tools for nanomagnet logic structures. In this paper, a framework for verification of sequential nanomagnet logic devices is presented. A set of definitions for canonical alignment and state definitions for NML paths are presented, as well as mathematical operations for determining the resulting states. The simulation results are presented for quantification of the NML magnetization angles for horizontal, vertical, negative-diagonal, and positive diagonal geometric alignments. The presented framework may be used as the basis for defining a representation of signal propagation for design and verification for robust NML devices and preventing deadlock resulting from improper implementation.
Degree Distribution and Quality in Complex Engineered Systems

Complex engineered systems tend to have architectures in which a small subset of components exhibits a disproportional number of linkages. Such components are known as hubs. This paper examines the degree distribution of systems to identify the presence of hubs and quantify the fraction of hub components. We examine how the presence and fraction of hubs relate to a system’s quality. We provide empirical evidence that the presence of hubs in a system’s architecture is associated with a low number of defects. Furthermore, we show that complex engineered systems may have an optimal fraction of hub components with respect to system quality. Our results suggest that architects and managers aiming to improve the quality of complex system designs must proactively identify and manage the use of hubs. Our paper provides a data-driven approach for identifying appropriate target levels of hub usage.
Projected alignment of non-sphericities of stellar, gas, and dark matter distributions in galaxy clusters: analysis of the Horizon-AGN simulation

While various observations measured ellipticities of galaxy clusters and alignments between orientations of the brightest cluster galaxies and their host clusters, there are only a handful of numerical simulations that implement realistic baryon physics to allow direct comparisons with those observations. Here we investigate ellipticities of galaxy clusters and alignments between various components of them and the central galaxies in the state-of-the-art cosmological hydrodynamical simulation Horizon-AGN, which contains dark matter, stellar, and gas components in a large simulation box of $(100 h^{-1}$ Mpc$)^3$ with high spatial resolution ($\sim1$ kpc). We estimate ellipticities of total matter, dark matter, stellar, gas surface mass density distributions, X-ray surface brightness, and the Compton $y$-parameter of the Sunyaev-Zel'dovich effect, as well as alignments between these components and the central galaxies for 120 projected images of galaxy clusters with masses $M_{200}>5\times10^{13}M_{\odot}$. Our results indicate that the distributions of these components are well aligned with the major-axes of the central galaxies, with the root mean square value of differences of their position angles of $\sim 20^\circ$, which vary little from inner to the outer regions. We also estimate alignments of these various components with total matter distributions, and find tighter alignments than those for central galaxies with the root mean square value of $\sim 15^\circ$. We compare our results with previous observations of ellipticities and position angle alignments and find reasonable agreements. The comprehensive analysis presented in this paper provides useful prior information for analyzing stacked lensing signals as well as designing future observations to study ellipticities and alignments of galaxy clusters.
Receiver function study of the crustal structure of the southeastern Caribbean plate boundary and Venezuela

[1] We have investigated crustal thickness and composition across the southeastern Caribbean plate boundary with the receiver function technique. We used teleseismic data recorded by a temporary broadband array deployed under the BOLIVAR project and the permanent national seismic network of Venezuela. We used the primary P-to-S conversion and crustal reverberations to estimate crustal thickness and average crustal VP/VS ratio over the region. We observe large variations in crustal thickness and Poisson's ratio. Estimated Moho depth ranges from ∼16 km beneath the southeastern Caribbean Sea to ∼52 km beneath northeastern Venezuela and the Venezuelan Andes. There is a good correlation between crustal structure and tectonic terranes. Data from the Precambrian Guayana Shield suggest that the underlying crustal structure is relatively uniform with a moderate thickness (∼37 km) and an intermediate composition. A thick crust is found below the foreland basins. The two mountain systems in northern Venezuela, the Serrania del Interior and the Serrania del Falcon, have a thin crust with arc composition and are likely dynamically supported by elastic rebound or underthrusting of the oceanic plateau that characterizes the southern Caribbean. On the other hand, the Venezuelan Andes and Perija Range on the western side of the country are probably isostatically balanced by thick crustal roots.
The Implications of Accession to WTO on China's Economy

The presented paper aims at providing a comprehensive analysis of the impact of China’s WTO accession. The analysis used a 41-sector, 10-households recursive dynamic CGE model of China. Dualistic foreign trade regimes - ordinary trade regime and processing trade regimes, which represents an important feature of China’s foreign trade - is introduced in the model. A 1995 social accounting matrix is compiled to serve as the benchmark date set. China’s WTO accession includes a complex package of trade and investment liberalization. This paper quantify the impact on efficiency and equality of the following four major aspect of China’s WTO accession: (1) tariff reduction in industrial products; (2) e limination of non-tariff barriers in industrial sectors; (3) agricultural trade liberalization; (4) phasing out of MFA quota on textile and clothing. The results of simulation show that China would gain significantly in economic efficiency when China becomes a member of WTO. But the gains are not evenly distributed among either sectors or income groups. Accession to the WTO implies a relatively dramatic economic structural adjustment. Highly protected agricultural and some of the capital intensive industrial sectors would be the losers, while the labor intensive sectors such as textile and clothing would be the main beneficiaries. Since the dominant role of agricultural trade liberalization, rural households will get loss. The rural-urban disparity will enlarge, but the income distribution within rural and urban area would improve. Obviously, the role of government would be crucial to minimize the cost involved in the process of structural adjustment.
Effect of Cordyceps Militaris Waster Medium on Production Performance, Egg Traits and Egg Yolk Cholesterol of Laying Hens

Chun-Lun Wang , Chung-Jen Chiang, Yun-Peng Chao , Bi Yu and Tzu-Tai Lee Department of Animal Science, National Chung Hsing University, Taichung 402, Taiwan Department of Electro-Optical and Energy Engineering, Ming Dao University, Changhau 523, Taiwan Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung 404, Taiwan Department of Chemical Engineering, Feng Chia University, Taichung 407, Taiwan
POWER QUALITY IMPROVEMENT IN MULTILEVEL STATCOM FOR HIGH-POWER APPLICATIONS BY USING CASCADED TWO-LEVEL INVERTER

The power quality is a vital client centered measure and is extraordinarily influenced by the operation of a dispersion and transmission system. The issue of power quality is of extraordinary significance to the wind turbine. There has been a broad development and brisk advancement in the abuse of wind energy as of late. The individual units can be of extensive limit up to 2 MW, sustaining into appropriation system, especially with clients associated in close vicinity. An appropriate control plan in wind energy era framework is required under ordinary working condition to permit the correct control over the dynamic power creation. In the occasion of expanding matrix unsettling influence, a battery energy stockpiling framework for wind energy producing framework is for the most part required to repay the vacillation created by wind turbine. A STATCOM basedcontrol innovation has been proposed for enhancing the power quality which can in fact deals with the power level partners with the business wind turbines. The execution of the wind turbine and in this way power quality are resolved on the premise of estimations and the standards took after as per the rule determined in International Electro-specialized Commission standard, IEC-61400. In this proposed plan STATCOM is associated at a state of normal coupling with a battery energy stockpiling framework (BESS) to relieve the power quality issues. The battery energy stockpiling is coordinated to support the genuine power source under fluctuating wind power. The STATCOM control plan for the matrix associated wind energy era framework for power quality change is mimicked utilizing MATLAB/SIMULINK in power framework piece set. The viability of the proposed plan remembers the principle supply source from the responsive power interest of the heap and the impelling generator. The development of the grid co-ordination rule and the scheme for improvement in power quality norms as per IEC-standard on the grid has been presented.
SmartRoadSense: Collaborative Road Surface Condition Monitoring

Abstract—Monitoring of road surface conditions is a criticalactivity in transport infrastructure management. Many researchsolutions have been proposed in order to automatically controland check the quality of road surfaces. Most of them makeuse of expensive sensors embedded in vehicles or mainly focuson detection of speciﬁc anomalies during monitoring activity.Inthis paper, we describe the design of a system for collaborativemonitoring of road surface quality. The overall architectureencompasses the integration of a custom mobile application, ageoreferenced database system and a visualization front-end.Road surface condition is summarized through a roughnessparameter computed using signal processing algorithms runningon mobile devices. The roughness values computed are sub-sequently transmitted and stored into a back-end geographicinformation system enabling processing of aggregated tracesand visualization of road conditions. The proposed approachintroduces a thoroughly integrated system suitable for monitoringapplications in a scalable, crowdsourcing collaborative setting.Keywords–Roughness; Accelerometer; Smartphone; Monitor-ing; Cloud.
A Multiclass-based Classification Strategy Sentence Categorization

Rapid identification of content structures in a sci entific paper is of great importance particularly for those who activel y ngage in frontier research. This paper presents a multi terms of classification of r behind this approach is based on an observation that no single classifier is the best performer for classifyi our approach learns which classifiers for those categories and apply only the right classifier for classifying a given category. This paper obtain the categoryclassifier of the corresponding classifier using full This approach has been evaluated for identi categories on sentences collected from ACL experimental results show that the multi improve the classification performance over multi
Neuroimage study on low orthographic competence group

Antecedentes: En este trabajo se estudia la implicacion de regiones cerebrales en la deteccion de errores ortograficos de tipo homofono en palabras frecuentes e infrecuentes del espanol mediante Imagen por Resonancia Magnetica funcional (IRMf) en sujetos de bajo desempeno ortografico. Metodo: Se empleo un Diseno de Bloques para presentar visualmente 2 tareas y 2 condiciones experimentales a ocho sujetos sanos con bajo desempeno ortografico. Se presentaron palabras correcta e incorrectamente escritas solicitandoles a los participantes, en la primera tarea, que detectaran la presencia de errores ortograficos, mientras que en la segunda se solicitaba que detectaran la presencia de una vocal especifica en la palabra presentada. Las imagenes se registraron a partir de 32 cortes axiales contiguos con un tiempo de repeticion de 3 segundos. Resultados: Se encontraron activaciones significativas en areas temporales y mediales, de forma bilateral, en la tarea de reconocimiento de patron ortografico mientras que en la tarea de deteccion de vocales las activaciones significativas se observaron en la region frontal superior derecha y frontal izquierda. Conclusiones: Los resultados son congruentes con lo reportado en la bibliografia y sugieren que el pobre reconocimiento ortografico se asocia con hiperactivacion neural bilateral cuando se ejecutan tareas de este orden, a modo de un posible reclutamiento compensatorio.
An overview on the chemical and biological aspects of lycorine alkaloid

Amaryllidaceae plants are currently appreciated as a plentiful source of unique bioactive alkaloids. Among them, lycorine is one of the major pyrrolophenanthridine alkaloids commonly isolated from different species of this family. Over the past years, lycorine has attracted great research interest owing to its superlative biological potential and pharmacological actions, including antitumor, antiangiogenic, antiviral, antibacterial, antimalarial, anti-parasite, antioxidant, hepatoprotective, analgesic, anti-inflammatory activities, and inhibition of ascorbic acid synthesis, among many others. Therefore, this review was undertaken to highlight the chemical, chromatographic, spectral, and biological aspects of this promising Amaryllidaceae alkaloid, together with a future perspective for its potential application in the pharmaceutical field.
Turbulent flow over isolated ridges; influence of vegetation

Characterizing the turbulence associated with flow over forested hills is of distinct interest for wind energy applications Ayotte and Hughes (2004). In particular, studies of turbulent flow associated with canopy-covered hills will help turbine manufacturers design machines capable of operating in complex environments. In addition, studies of this kind will help in the positioning of wind farms since further quantification of turbulent characteristics over canopy-covered hills will provide more confidence to wind resource developers as they search for ideal locations to harness wind power.