Miracle-dz/UniFAR-FTUs huggingface dataset:
An Alternative Nonlinear Lyapunov Redesign Velocity Controller for an Electrohydraulic Drive

This research aims at developing control law strategies that improve the performances and the robustness of electrohydraulic servosystems (EHSS) operation while considering easy implementation. To address the strongly nonlinear nature of the EHSS, a number of control algorithms based on backstepping approach is intensively used in the literature. The main contribution of this paper is to consider an alternative approach to synthetize a Lyapunov redesign nonlinear EHSS velocity controller. The proposed control law design is based on an appropriate choice of the control lyapunov function (clf), the extension of the Sontag formula and the construction of a nonlinear observer. The clf includes all the three system variable states in a positive define function. The Sontag formula is used in the time derivative of our clf in order to ensure an asymptotic stabilizing controller for regulating and tracking objectives. A nonlinear observer is developed in order to bring to the proposed controller the estimated values of the first and the second time output derivatives. The design, the tuning implementation and the performances of the proposed controller are compared to those of its equivalent backstepping controller. It is shown that the proposed controller is easier to design with simple implementation tuning while the backstepping controller has several complex design steps and implementation tuning issue. Moreover, the best performances especially under disturbance in the viscous damping are achieved with the proposed controller.
The Soliton Interaction in Weakly Nonlocal Nonlinear Media on the External Potentials

This paper is devoted to the analytical and numerical study of the solitons interaction and scattering on the external delta potential in the weakly nonlocal nonlinear media. Using generalized form of Nonlinear Schrödinger Equation (NLSE) which is Cubic-Quintic NLSE in weakly nonlocal nonlinear media, we applied the variational approximation method to derive the equations for soliton parameters evolution during scattering process. Then a direct numerical simulation of NLSE is used to check the validity of approximations, considering the soliton initially located far from potential. Depending on initial velocity of the soliton, the phenomenon of reflection and transmission of the soliton through the potential have been shown. The critical values of the velocity separating these two scenarios have been identified.
Impact of CNT medium on the interaction between ferromagnetic nanoparticles

We present results on low-temperature magnetization approaching the saturation law in aligned bundles of CNTs with ferromagnetic nanoparticles embedded inside inner channels of nanotubes for two directions of the magnetic field, parallel and perpendicular to the CNT axes. Elaborating experimental data, we were able to extract the explicit form of the correlation functions describing the orientation of the magnetic anisotropy axes in real space. In the parallel field the long-range coherence in the magnetic anisotropy axes is the characteristic feature. In the perpendicular direction the peculiar feature is the 2D exchange coupling. The nature of the exchange interaction and the role of the CNT medium in it is also discussed.
A hybrid algorithm for nesting problems

In this paper, we propose a hybrid algorithm for optimal nesting problems by combining genetic algorithm and fuzzy rules system. In the approach, the genetic algorithm with a new encoding scheme and a new genetic operator is used for handling the combinations of nesting problems with the arbitrarily polygons. A rule based system based on fuzzy logic is used for determining the exact layout under the fixed combinations so as to minimize the fitness value in the genetic algorithm. We present an experiment for showing the effectiveness proposed by this method.
Effects of spatial resolution,land-cover heterogeneityand different classification methods on accuracy of land-cover mapping

Despite improved spatial and spectral characteristics of satellite and aerial imaging systems, land-cover classification is still challenged by a continuously evolving and complex rural and urban landscape conditions resulting from diverse land-use scenarios. Sizes and material composition of impervious surfaces changes greatly from urban to rural areas, leading to varying spectral signatures and ultimately misclassification. This creates a challenge in choosing suitable classification algorithms and image processing methods. In this study, the influence of spatial resolution and land-cover spectral and spatial heterogeneity on accuracy of land-cover classification at a rural-urban interface was examined alongside comparison of Random Forest (RF) and Support Vector Machine (SVM) classification algorithms. Further, the performance of spectral unmixing strategies was tested against standard feature extraction methods, namely, NAPCA and PCA. The results showed a 10 % improvement in classification accuracy from 30 m to 10 m spatial resolution for both overall accuracy and Kappa coefficients, however, relatively high per-pixel class disagreement (39 %) was recorded between the different resolution maps, pointing to the fact that overall accuracy or Kappa coefficients may not capture the spatial resolution effects on classification accuracy results in its entirety. SVM classifier proved superior to the RF classifier with even a relatively bigger margin at the coarser spatial resolution (i.e. 4.9 % and 5.7 % higher accuracy at 10 m and 30 m spatial resolution respectively). Higher classification accuracies were observed for partial unmixing and sum-to-unity unmixing feature extraction strategies at both spatial resolutions relative to the results from PCA, NAPCA and original image data (i.e. 62 %, 61 %, 51 %, 61 % and 59 % respectively for 30 m resolution, and, 67 %, 67 %, 62 %, 65 % and 66 % respectively for 10 m resolution image). It was found that the dominance of unmixing-based feature extraction methods reduced while the standard dimensionality reduction approaches (NAPCA and PCA) made a zero contribution to improving classification accuracy at finer spatial resolution (i.e. 10 m). According to the results of land-cover heterogeneity assessment, more fragmented and spatially diverse landscapes were comparably more spectrally diverse along the rural-urban gradient. A high degree of landscape heterogeneity and lowest classification accuracy was observed in the peri-urban region at approximately 11 kilometers from the very urban area. The findings indicate that landscapes with high PD, LSI, SHDI and low CONTAG have lower accuracy while homogeneous and less fragmented landscapes have higher accuracy. The findings from the study will provide a basis for more accurate time series analysis of land-use dynamics at the rural-urban interface.
Identifying microturbulence regimes in a TCV discharge making use of physical constraints on particle and heat fluxes

Reducing the uncertainty on physical input parameters derived from experimental measurements is essential towards improving the reliability of gyrokinetic turbulence simulations. This can be achieved by introducing physical constraints. Amongst them, the zero particle flux condition is considered here. A first attempt is also made to match as well the experimental ion/electron heat flux ratio. This procedure is applied to the analysis of a particular Tokamak a Configuration Variable discharge. A detailed reconstruction of the zero particle flux hyper-surface in the multi-dimensional physical parameter space at fixed time of the discharge is presented, including the effect of carbon as the main impurity. Both collisionless and collisional regimes are considered. Hyper-surface points within the experimental error bars are found. The analysis is done performing gyrokinetic simulations with the local version of the GENE code, computing the fluxes with a Quasi-Linear (QL) model and validating the QL results with non-linear simulations in a subset of cases.Reducing the uncertainty on physical input parameters derived from experimental measurements is essential towards improving the reliability of gyrokinetic turbulence simulations. This can be achieved by introducing physical constraints. Amongst them, the zero particle flux condition is considered here. A first attempt is also made to match as well the experimental ion/electron heat flux ratio. This procedure is applied to the analysis of a particular Tokamak a Configuration Variable discharge. A detailed reconstruction of the zero particle flux hyper-surface in the multi-dimensional physical parameter space at fixed time of the discharge is presented, including the effect of carbon as the main impurity. Both collisionless and collisional regimes are considered. Hyper-surface points within the experimental error bars are found. The analysis is done performing gyrokinetic simulations with the local version of the GENE code, computing the fluxes with a Quasi-Linear (QL) model and validating the QL results wi.
5. Picture Recognition

This chapter reviews methods of measuring properties of pictures, and extracting objects from pictures, for purposes of picture recognition and description. Subjects covered include 1) Properties of regions in pictures-in particular, textural properties. 2) Detection of objects in pictures-template matching, edge detection. 3) Properties of detected objects-projections, cross-sections, moments. 4) Object extraction-thresholding, region growing, tracking. 5) Properties of extracted objects-connectedness and counting, area and perimeter, compactness, convexity, elongatedness. 6) Object and picture representation-boundaries, skeletons, relational struc­ tures.
Modelling of electric field distribution for partial discharges in air

Partial discharges in air exhibit different forms which depend on such factors as air condition, electrode arrangement and the waveform of the test voltage. The main mechanis ms of partial discharges in air are electron avalanches, local st reamer discharges and surface discharges. The paper refers to corona discharges, which occurrence in high voltage overhead transmiss ion lines lead to electromagnetic interferences and losses during power transmission. Initiation and development of this ph enomenon depends on the electric field in the proximity of t he phase conductors. The electric field strength on the surf ace of the corona source influences the size of the ionization air zo ne, thus the radius of the corona zone. In the modelling of partial dis charges the distribution of the electric field is a key paramet er. In simulations of corona discharges the point-to-plane configurati on (characteristic for corona initiation) was used. On the basis of nu merical modelling the ionization zone of corona discharges and the influence of point-to-plane electrode parameters ar e presented.
Broadband Dual-Polarized Dipole Antenna with Metallic Cylinder for Base Station

ABSTRACT In this article, a broadband dual-polarized dipole antenna for mobile communication systems is proposed. The design is based on improvements to conventional bowtie dipole antennas, thereby simultaneously achieving wider bandwidth and a more compact size. The antenna consists of a metallic plate reflector and a pair of orthogonal planar dipoles with U-shaped slots, which are separately excited by T-shaped feeding lines. The application of U-shaped slots and T-shaped feeding lines effectively extends the impedance bandwidth. Additionally, using a new approach of adding metallic cylinders to each dipole improved impedance matching. Experimental results indicated that the designed dual-polarized antenna achieved a notably wide bandwidth (1.58–2.82 GHz). Further, the measured isolation between the two ports was better than 30 dB and cross-polarization level was less than –25 dB on the axis. Moreover, the antenna had stable radiation patterns with half-power beam width of 65° ± 5° on the horizontal plane and an average gain of 8.2 dBi over the operating band. Importantly, these parameters collectively meet current telecommunications industry standards.
Experimental Investigation on Water Cooler Test Rig With And Without Diffusers

Refrigeration is a process of maintaining the temperature lower than the surroundings. It can be achieved with the help of components of refrigerator and the refrigerant. Refrigerant is a substance maintaining the temperature lower than the atmosphere. VCR is widely applied in daily as well as in large scale industry to produce a refrigeration effect. The diffuser is a passage that will increase the pressure energy by changing the kinetic energy at the inlets. The main objective of this project work is to design a water cooler test rig system with two different angled diffusers of divergence angle of 13°, 16° are planned for the equivalent inlet and outlet dia. In this project we are evaluating the various constraints such as refrigeration effect & coefficient of performance (COP) with and without diffusers at condenser inlet. The 16° divergence angle of diffuser given the better coefficient of performance was 23.15.
When Do Personal Factors Make Autonomy Motivational Orientation Worthwhile? A Case of Turnover Intentions

Several meta-analytic studies suggest that individual and contextual factors determine employees’ workplace quitting intentions. Autonomy motivational orientation as an individual factor has many beneficial outcomes, including a reduction in employee turnover intention. However, the studies in this area suggest that the influence is indirect. Grounded in self-determination theory and career stage theory, we hypothesize that the influence of employees’ autonomy motivational disposition on quitting intention is contingent on the level of employees’ age. Results of data collected from 340 engineers, marketing and service personnel from a large public sector undertaking supported our hypothesized model. Employees with high autonomy motivational disposition show less intention to leave the organization when they grow old than young. We conclude by discussing that employees behave for autonomous reasons and show greater organizational identity and less quitting intention with growing age.
Rise of Artificial Intelligence in Business and Industry

The ongoing development of business and the most recent advances in artificial intelligence (AI) allow for the many business practices to be improved by the capacity to establish new forms of collaboration, which is a significant competitive advantage. This rapidly developing technology enables to offer brand services and even some new forms of business interactions with consumers and personnel. The digitalization of AI concurrently emphasized for businesses that they need concentrate on their present strategies while also routinely and early pursuing new chances in the market. Not only in business but also in different industry sectors, Al techniques are being used and revolutionized different industry sectors. This review focuses on the application of AI techniques in business and different industries.
Design of Field Experiments under Unknown Interference Structures

This paper extends the Rubin Causal Model to a framework that allows for interference of unknown form. In particular, we develop a framework to define estimands in a general way using "reference assignments. " We show that a sequence of increasingly restrictive noninterference assumptions yield estimators that converge in expectation to the estimand of interest. This allows the researcher to focus on experimental designs that causally identify quantities of interest in a non-parametric fashion. We apply this approach to two common estimands, the average direct treatment effect and the average indirect exposure effect, recasting the framework in the language of network analysis. We propose a novel two-stage randomization algorithm that incorporates the researchers’ beliefs about interference, allowing for more efficient estimation and reducing biases from complex spillovers. The algorithm is evaluated with simulated data.
“Lentera Sahabat" Program for Peer Facilitator to Prevent Bullying

After the study conducted by Olweus (1991) more than two decades ago, interest in bullying topic significantly increased and provides sturdy evidence that Bullying consists among children and adolescents. The result of the introductory survey found that 54% out of 739 high school students in Yogyakarta reported that bullying occurs in their school at last one year and 13% reported that they have been bullied. This current study develops a program called "Lentera Sahabat". This program aims to increase high school students' knowledge about bullying and their skills to guide role-play sessions with bullying themes. An untreated Control Group Design with a Dependent Pre-test and Posttest Sample was used as the design. Quantitative data analysis was conducted through mixed design ANOVA statistical test. The results of this study are the increase of student knowledge about bullying and also their skills to guide role-play sessions with bullying themes. Abstrak: Sejak studi yang dilakukan Olweus (1991) lebih dari dua dekade yang lalu, perhatian pada bullying semakin meningkat tajam dan menghasilkan bukti-bukti kuat, bahwa bullying banyak terjadi pada anak dan remaja. Studi pendahuluan penelitian pada 739 siswa dari 10 SMAN Kota Yogyakarta menunjukkan bahwa 54% siswa pernah melihat perilaku bullying di lingkungan sekolah dalam kurun waktu satu tahun terakhir dan 13% siswa mengaku telah menjadi korban bullying. Penelitian ini mengembangkan Program "Lentera Sahabat" yang bertujuan untuk memberikan pengetahuan tentang bullying dan mengajarkan keterampilan memandu sesi bermain peran dengan tema bullying kepada siswa SMA. Desain yang digunakan adalah Untreated Control Group Design with Dependent Pre-test and Posttest Sample. Analisis data kuantitatif dilakukan melalui uji statistik mixed design ANOVA. Hasil penelitian ini adalah meningkatnya pengetahuan tentang bullying serta keterampilan siswa untuk memandu sesi bermain perandengan tema bullying.
Kinematical effects in electroproduction of hypernuclei

On the example of electroproduction of 12 Λ B we show e ﬀ ects in the cross section caused by various choices of the momentum of the initial proton. We have found that the e ﬀ ects are quite noticeable, mainly for small kaon angles. This extention of our model calculations beyond the frosen-proton approximation represents an important improvement of theoretical predictions
AN AB INITIO ANALYSIS OF STRUCTURAL, OPTICAL, ELECTRONIC, AND THERMAL PROPERTIES OF CUBIC SrSnO 3 USING WEIN2k

This paper investigated the structural, optical, electronic and thermal characteristics of SrSnO 3 perovskites that were calculated using the density functional theory. Software called WEIN2K is used to perform the calculation. According to our calculations, the band gap energy of the SrSnO 3 is roughly 4.00 eV and it adopts a distorted cubic shape in the space group 𝑃𝑚3(cid:3364)𝑚 . The band structure and partial density of state reflects the major contribution of O 2p in the valence band while 5s orbital from Sn in the conduction band. The electron density plot significantly shows the contribution different clusters SrO 12 and SnO 6 that plays crucial role in electronic and optical properties. The creation of covalent bonds between the atoms of Sn and O as well as the ionic interaction between the atoms of Sr and O are both demonstrated by the electron density graphs and SCF calculation. The refractive index and extinction coefficient directly correlated with the real and imaginary part of complex dielectric function. Real part of dielectric function shows higher values at two major point of energy 3.54 eV and 9.78 eV associated with the absorption and optical activity of SrSnO 3 . Negative part of imaginary dielectric function part suggests metallic behavior also supported by -grep lapw method. Thermoelectric and thermal conductivity properties suggest the power factor need to be improved for the device application.
Reconfigurable topological defect arrays in nematic liquid crystals

Topological defects in nematic liquid crystals (NLCs) are attracting attention in recent years for generating optical vortex beams. In most cases, complex defects structures are stabilized by pre-patterned surfaces and spontaneous control with reconfigurability is not so successfully realized. Here, we use NLCs with negative dielectric anisotropy doped with a small quantity of ionic impurity confined between perfluoropolymer surfaces. Without using a template, a large number of topological defects are stabilized by the reorientation of the NLCs using an AC voltage, which is caused by a periodic density modulation of ions at the perfluoropolymer interfaces. Due to the reconfigurable property of the system, the uniform monodomain can be obtained by several methods, for example, an infrared laser and a weak shear flow. Our results offer a new approach for stabilizing multiple topological defects.
Effects of RF noise on the longitudinal emittance growth in Tevatron

Phase and amplitude noises in the Tevatron RF system and the intrabeam scattering (IBS) produce longitudinal emittance growth with consecutive particle loss from the RF buckets. That causes a decrease of the luminosity and an increase of the background in particle detectors during the store. The report presents experimental measurements of RF system noise and the effect on the longitudinal emittance growth. There is a satisfactory agreement between measured noise spectral densities and observed emittance growth. For high bunch intensities, IBS plays an important role and has been taken into account. The sources of noises and plans for further system improvements are discussed.
Speech-based Emotion Recognition Methodologies

Speech is used by humans to communicate with one another. Speech not only carries the content but also context of the information. There have been advancements in the field of identification and classification of speech. Also, the emergence of consumer applications that are speech-centric has also added to the rigor for perfecting human-machine interaction. This study aims to review the research in this field focusing on the papers from 2010 onwards.
Loss Less Data Embedding In the Motion Predicted Vectors for Video Sequences

A lossless data hiding scheme in the predicted frames during the motion estimation is proposed in this paper. The main objective of this work is to provide an efficient, low complex and faster data hiding scheme for the video sequences in compressed domain. This work utilized the concept of motion estimation from which the predicted frames are used to hide the data. This method also provides high embedding capacity while preserving the quality of the frames. Experimental results shows that the proposed approach is providing good results in terms of extracted message bits and the quality of the embedded frames.
Ruminal defaunation and greenhouse gas mitigation with tree forage crops in the Amazon

The objective of the study was to evaluate the effect of forages Gliricidia sepium (T1), Leucaena leucocephala (T2)), Moringa oleifera (T3), Morus alba (T4), Tithonia diversifolia (T5) on rumen function. For each treatment, the nutritional quality, digestion, rumen degradability, CH 4 gas production, CO2, holotric and entodinomorphic protozoa were analyzed. It was found in T4 greater digestibility of DM (P = 0.0002) and MO (P˂0.0001). The degradability of DM in the soluble fraction was higher (P<0.0001) in T4 and T5, as well as in the potential for degradation and effective degradability. Gas production was lower (P=0.0009) in T1, T3 and T5 with 249.6, 232.1 and 257.2 m L gas/0.5 g DM respectively, the lowest production of CH 4 (P=0.0049) was for T4 with 52.4 mL CH4/0.5 g DM and for CO2 no significant differences were found (P>0.05). The count of holotric protozoa at 6 h was lower (P = 0.0206) in T3 and in Entodinomorphs in T3 and T4 (P = 0.0082), at 12 and 24 h no significant differences were observed (P>0.05). The efficiency in rumen function found in T4 and T5 were influenced by the levels of FDN and FAD.