Miracle-dz/UniFAR-FTUs huggingface dataset:
Presentation of Surface Height Profiles Based on Frequency Modulation at Constant Amplitude Using Vibrotactile Elements

This study attempted to observe what effects the frequency modulation of vibration elements produce in representing a tactile shape. Tactile shapes were modulated based on frequency difference at constant amplitude through a tactile feedback array of 30 (5 × 6) pins, which stimulated the finger pad. Experiment I showed that participants feel height changes when modulating frequency. In Experiment II, the participants were asked to discriminate three basic tactile shape patterns, which were generated with different frequencies at constant amplitude. Experiment II proved that spatial height information can be represented by modulating temporal information. In Experiment III, the frequency modulation method was applied to the tactile mouse system. Dynamic frequency modulation at passive touch can be used to transmit tactile height pattern information to the user of the mouse pointer for more practical application. The results showed that the participants were able to discern eight predefined shapes with an accuracy of 98.4% upon passive touch.
Influence of Nonlinear Flame Models on Bifurcation Process and Limit Cycles in Gas Turbine Combustors

The aim of this paper is to investigate the influence of the operative parameters characterizing nonlinear flame models. Two shapes of the combustor system are examined: a simple cylindrical configuration and a simple annular one. The heat release fluctuations are coupled to the velocity fluctuations in the burner by means of nonlinear dependence. Two simple polynomial expressions are considered, in which the highest order is the third and the fifth, respectively. Additionally a Flame Describing Approach from the literature is investigated. The bifurcation diagrams for these flame models are obtained, considering the interaction index k as the control parameter. The influence of the time delay on the position of both the Hopf bifurcation point and the fold point is highlighted. The presence of a double mode in the case of annular configuration is also shown.
N ° 2017-07 Variance Estimator in Complex Surveys using Linear Regression with Expansion Factor as Independent Variable June 2017

In probability sampling, variance estimation of an estimated mean or total requires developing a mathematical expression that depends on the design used to extract a sample. These formulae can be difficult to build and sometimes involve computation of joint inclusion probabilities of selection, which can be hard to obtain. For some sampling designs it is not possible to obtain an unbiased estimator of the variance. These designs include the selection of one element or one large primary sampling unit within some strata, or systematic selection of units or primary sampling units within strata. The problem of variance estimation may also arise from an analytical perspective, while estimating means or totals in unplanned domains, it is possible to arrive at only one unit or cluster within some strata. In this article, we propose a linear regression variance estimator which is very simple to compute and gives a solution to the aforementioned problems. Some examples using different designs are given.
Quinoxalin-2-yl o-tolyl ether

The dihedral angle between the two aromatic ring systems in the title compound, C15H12N2O, is 85.9 (1)°; The angle at the O atom is widened to 118.2 (2)°. The quinoxalinyloxy part of the molecule lies on a mirror plane and the tolyl group is disordered over two positions about the mirror plane.
Optimal tracking performance for unstable Tall and Squared-up plant models

Abstract— This article is focused on the best achievable tracking performance of unstable tall and squared-up plant models. The squared-up plant is originated by adding control inputs to a tall system to become a square plant. The work is developed for discrete time, LTI systems, when a decaying si gnal is considered as reference. Closed form expressions for the b st tracking performance for one and two degree of freedom contr ol schemes are presented, and a case study of the benefits of addi ng control inputs is also considered.
Active Vehicle Pitch Motions as Feedback-Channel for the Driver during Partially Automated Driving

During partially automated driving, the driver must have a good awareness of the automation system’s state to fulfill his supervising task sufficiently. In this contribution, a concept for feeding back state transitions and intentions of the automation is presented. The feedback is not communicated visually, as usual, but instead via vehicle movements, strictly speaking active pitch motions. Feedback through active pitch motions is shown to test persons in four selected test scenarios in a driving study. Thereby, the design of these pitch motions as feedback for state transitions and intentions of the automation is evaluated.
ASSESSING ROLE MINING ALGORITHMS USING RMINER TOOL IN IDENTIFYING THE BEST MODEL FOR ACCESS CONTROL

Role-based access control model has been accepted by many organizations because of the security feature that the model offers. Generally, role-based access control executes based on a role which includes set of permissions that built in a matrix form and the advantage of this model is the flexibility to modify or reassign the roles of a user if the permissions are changed. However, one of the main challenges in designing and executing the role-based access control model is to define a complete and correct set of roles and assigning them with permissions and therefore to solve this problem, the researchers have proposed role mining algorithms to produce such role set. Moreover, there are only a few comprehensive studies have been carried out to compare these algorithms and the evaluations are usually using different dataset and evaluation criteria. In order to give the researcher some insights into their performances, this paper presents an analysis on some of the well-known role mining algorithms by using RMiner tool that can be applied for role mining process and deliberate some of the dataset that can be used in role mining environment.
Integrating Hierarchical and Conditional Planning techniques into a software design process for Automated Manufacturing

This work presents an AI planning application to assist an expert to design control programs in the field of Automated Manufacturing. Authors analyze this domain application, with the aim of understanding the standard procedures carried out by experts in order to solve control software design problems. The analysis results in a set of requirements that have led us to build a hybrid system that integrates POCL, hierarchical and conditional planning techniques. Its advantages and lessons learnend during its development are also shown.
Workplace safety and emergency procedures ( re ) design : a human workload assessment through virtual reality

Be prepared to the unknown is the mantra of modern high-risk industries, which are concerned about the effectiveness of their workplace safety & emergency procedures and the performance of their operators in safetycritical tasks. Virtual Reality (VR) applications and Serious Games (SG) provide a quasi-real testing environment that allows industries to detect whether operators are able to perform tasks without performance degradation due to an unbalanced workload. The present study proposes an eXpanded NASA Task Load indeX (X-NASA-TLX) and an Overall Workload Judgement (OWJ) to assess quantitatively the operators’ workload during a synthetic emergency scenario. The case study is represented by a fire caused by a faulty gas line in a steel mill during which the operators are required to comply meticulously with the emergency procedure. The emergency scenario is experienced by using a head mounted display, motion controllers and audio equipment to convey a high sense of immersion. This study shows that VR and SG coupled with the X-NASA-TLX results can be considered as a reasonable means for investigating workload balancing problems. Insights based on the OWJ are reported, thus demonstrating the potential of this approach to support the workplace safety and emergency procedures analysis and (re)design.
Optical sensor for angular position measurements embedded in robotic finger joints

Abstract This paper presents the modeling and the design of an innovative angular position sensor able to be easily integrated into miniaturized robotic joints (a joint is mm large with a diameter of mm). The sensor working principle is based on the modulation of the light radiant power flux that goes from an InfraRed light emitting diode (IR LED) to a photodiode (PD) through a thickness-varying canal integrated into the joint itself. The LED and the PD are fixed on one of the links that compose the robotic joint, while the canal is integrated into the other link. A model for the interaction between the optoelectronic components is presented, validated, and used to design a robotic joint with the embedded angular sensor. The robotic joint has been characterized and use to implement a complete robotic finger with four embedded angular sensors. The tendon-driven robotic finger has been calibrated and experimentally tested.
Keypoints Detection and Feature Extraction: A Dynamic Genetic Programming Approach for Evolving Rotation-Invariant Texture Image Descriptors

The goodness of the features extracted from the instances and the number of training instances are two key components in machine learning, and building an effective model is largely affected by these two factors. Acquiring a large number of training instances is very expensive in some situations such as in the medical domain. Designing a good feature set, on the other hand, is very hard and often requires domain expertise. In computer vision, image descriptors have emerged to automate feature detection and extraction; however, domain-expert intervention is typically needed to develop these descriptors. The aim of this paper is to utilize genetic programming to automatically construct a rotation-invariant image descriptor by synthesizing a set of formulas using simple arithmetic operators and first-order statistics, and determining the length of the feature vector simultaneously using only two instances per class. Using seven texture classification image datasets, the performance of the proposed method is evaluated and compared against eight domain-expert hand-crafted image descriptors. Quantitatively, the proposed method has significantly outperformed, or achieved comparable performance to, the competitor methods. Qualitatively, the analysis shows that the descriptors evolved by the proposed method can be interpreted.
Image restoration using regularized inverse filtering and adaptive threshold wavelet denoising

Although the Wiener filtering is the optimal tradeoff of inverse filtering and noise smoothing, in the case when the blurring filter is singular, the Wiener filtering actually amplify the noise. This suggests that a denoising step is needed to remove the amplified noise . Wavelet-based denoising scheme provides a natural technique for this purpose . In this paper a new image restoration scheme is proposed, the scheme contains two separate steps : Fourier-domain inverse filtering and wavelet-domain image denoising. The first stage is Wiener filtering of the input image , the filtered image is inputted to adaptive threshold wavelet denoising stage . The choice of the threshold estimation is carried out by analyzing the statistical parameters of the wavelet sub band coefficients like standard deviation, arithmetic mean and geometrical mean . The noisy image is first decomposed into many levels to obtain different frequency bands. Then soft thresholding method is used to remove the noisy coefficients, by fixing the optimum thresholding value by this method . Experimental results on test image by using this method show that this method yields significantly superior image quality and better Peak Signal to Noise Ratio (PSNR). Here, to prove the efficiency of this method in image restoration , we have compared this with various restoration methods like Wiener filter alone and inverse filter.
The Effect of a Physical Activity Program on Some Anthropometric Characteristics in Children with Emotional and Behavioral Problems

The aim of this study was to investigate the effects of physical activity on some anthropometric characteristics of children with emotional and behavioral disturbances. Sample consisted of 19 children (between 6,00-12,99 ages) from the child and adolescent psychiatry Unit of the Ege University Medical School. They participate in a twelve-week educative program including controlled PA (2 days a week, 60 min a day, aerobic exercises). Anthropometric data were collected before and after enrolling in the educative program by an accredited ISAK Level II anthropometrist following the ISAK manual (Marfell-Jones et al., 2006). Relaxed Arm (RAG), Contracted Arm (CAG), Waist (WG), Gluteal (GG) and Calf (CG) Girths, Triceps (Tsk), Subscapular (Sbsk), Biceps (Bsk), Iliac (Isk), Supraspinale (Ssk), Abdominal (Ask), Thigh (Thsk) and Calf (Csk) skinfolds, Humeral (HB) and Femoral (FB) breadths, body weight (W), stature (St), sitting height (Sh) and arm span (AS) (Restricted Profile) were measured and used to determine the sum of 8 skinfolds (S8), BMI and percentage of body fat (%BF)(2). Children were divided into two mixed groups according to the age and gender. Student T-test was run for comparing pre- and post- results and Wilcoxon Signed-Rank Tests were used for identify differences by gender and age groups setting always statistical significances at α=0.05. When general pre- and post- test data were compared, significant differences in W, St, Sh, AS, GG and CG were observed (p<0.05). Considering only the boys’ data, differences (p<0.05) were found for W, St, Sh, AS, Tsk and GG results, but in girls only for St, Sbsk, and CG. Finally, children under-10 significantly changed their W, St, Sh, AS, and CG measurements and children over-10 changed their St, Sh, AS, and GG. PA programs can lead to significant changes in some anthropometric characteristics of children with emotional and behavioral problems. Educative programs with PA contents can support their physical fitness levels and physical properties.
Development and Validation of HPTLC Method for Estimation of Desloratadine

A new and rapid high-performance thin-layer chromatographic (HPTLC) method was developed and validated for quantitative determination of desloratadine. The HPTLC separation was achieved on an aluminum-backed layer of silica gel 60F254 using methanol : chloroform : toluene : ammonia (5.0+ 5.0 + 1.0 + 0.3 v/v/v/v) as mobile phase. Quantitation was achieved by densitometric analysis at 254 nm over the concentration range of 150–750 ng/mL. The method was found to give compact spot for the drug (Rf = 0.6 ± 0.01). The linear regression analysis data for the calibration plots showed good linear relationship with r = 0.9997. The method was validated for precision, recovery, repeatability, and robustness as per the International Conference on Harmonization guidelines. The minimum detectable amount was found to be 21 ng/spot, whereas the limit of quantitation was found to be 65 ng/spot. Statistical analysis of the data showed that the method is precise, accurate, reproducible, sensitive and selective for the analysis of desloratadine. The method was successfully employed for the estimation of desloratadine as a bulk drug and in commercially available tablet formulation. _____________________________________________________________________________________________________________
Performance evaluation of irrigation system using RS and GIS

-Water is basic need for all living thing. Without water nobody can survive in this world. Efficient utilization of existing water is a pressing need. Due to rising population, reduction in present storage capacity and poor delivery efficiency of 30 to 40% from canal. A study to evaluate an irrigation system in the cotton-wheat zone of Pakistan, after the watercourse lining was conducted. The project will not only RS base for this field measurement also required for verification and correction. Several combinations of the ratio of signals received in different spectral bands were used for development of this index. Near Infrared and Thermal IR spectral bands proved to be most effective as this combination helped easy detection of salt affected area and cropping pattern of the study area, 25% irrigation performance improve after the water course improvement. Ket word;RS data, field data, sattlie images,
MORPHO-PHYSIOLOGICAL RESPONSES OF CHICKPEA ( CICER ARIETINUM L . ) GENOTYPES UNDER DROUGHT STRESS

The physiological and morphological traits related to drought tolerance and to fix the criteria for reliable screening of drought tolerant chickpea genotypes, thirteen chickpea genotypes with seven checks were grown under control and drought stress in rainout shelter. The effect of drought stress on total chlorophyll content, stomatal conductance, transpiration rate, photosynthesis rate and number of pods at pre and post flowering stages was evaluated. A close relationship between plant growth, leaf water status and chlorophyll content was observed. In this study we recorded less percent reduction in total chlorophyll content, stomatal conductance, transpiration rate and photosynthesis rate in some wilt resistant genotypes JG 552476, JG 2001-4, JG 24 which was comparable to drought tolerant check ICC 4958. The entire drought related physiological parameters recorded slightly more decrease at postflowering stage of growth as compared to preflowering stage.
Endotoxin accumulation prevents carcinogen‐induced apoptosis and promotes liver tumorigenesis in rodents

Increasing evidence suggests that the presence of endotoxemia is of substantial clinical relevance to patients with cirrhosis, but it is unclear whether and how gut‐derived LPS amplifies the tumorigenic response of the liver. We found that the circulating levels of LPS were elevated in animal models of carcinogen‐induced hepatocarcinogenesis. Reduction of LPS using antibiotics regimen in rats or genetic ablation of its receptor Toll‐like receptor 4 (TLR4) in mice prevented excessive tumor growth and multiplicity. Additional investigation revealed that TLR4 ablation sensitizes the liver to carcinogen‐induced toxicity via blocking NF‐κB activation and sensitizing the liver to reactive oxygen species (ROS)‐induced toxicity, but lessens inflammation‐mediated compensatory proliferation. Reconstitution of TLR4‐expressing myeloid cells in TLR4‐deficient mice restored diethylnitrosamine (DEN)‐induced hepatic inflammation and proliferation, indicating a paracrine mechanism of LPS in tumor promotion. Meanwhile, deletion of gut‐derived endotoxin suppressed DEN‐induced cytokine production and compensatory proliferation, whereas in vivo LPS pre‐challenge promotes hepatocyte proliferation. Conclusion: Our data indicate that sustained LPS accumulation represents a pathological mediator of inflammation‐associated hepatocellular carcinoma (HCC) and manipulation of the gut flora to prevent pathogenic bacterial translocation and endotoxin absorption may favorably influence liver function in patients with cirrhosis who are at risk of developing HCC. (Hepatology 2010.)
SCATTERING BY A HALF-PLANE : A NEW MODAL APPROACH

The classical two-dimensional problem of half-plane scattering is treated by a new semi-analytic approach: We start from the modal expansion of the Green’s function of the wedge (which includes the half-plane and the plane), and obtain the total field for an incident plane wave by locating a line source parallel to the edge at infinity and by a suitable transform of the line-source field to the plane-wave field. For the Dirichlet case the field on the wedge vanishes while its derivative acts as the source for the scattered field. The latter is obtained by means of Green’s theorem and the bilinear form of the free-space Green’s function. The edge-diffracted part is then the difference between the field scattered by a half-plane and one half of the field scattered by a plane. The infinite alternating and non-converging series representations are numerically evaluated by means of a linear (consistent) summation technique. The new method can directly be applied to more difficult problems (circular and elliptic cone, plane angular sector, etc.), where closed results are not available yet. PLANE-WAVE DIFFRACTION BY A WEDGE
Data impact experiments using IASI observations during the life cycle of Hurricanes Gustav, Hanna and Ike (2008)

The numerical forecast of the extratropical transition (ET) of a tropical cyclone (TC) is difficult because of the relatively small scales of the TC and the associated convection. This can result in large errors of the first guess. Furthermore, the ET system may carry a huge amount of the moisture of the ex-TC along, which can lead to strong precipitation and flooding events over the adjacent continent. The water vapor transport from the decaying TC into the midlatitudes is an important issue for the correct prediction of an ET. Hence, for ET cases a good coverage of observations which are introduced in the data assimilation systems is important. The in-situ data distribution is very heterogeneous and in some regions very sparse, i. e. over the oceans and especially over the poles. Vast improvements in numerical forecasts have been achieved by the use of the hyperspectral infrared instruments AIRS (advanced infrared sounder) and IASI (infrared atmospheric sounding interferometer). Andersson et al. (2007) studied the impact of humidity data on analysis and forecast. They found a significant impact of microwave and infrared sounders and also of surface stations which extended into the medium range. Our study is dedicated to the impact that additional observations in general and additional observations taken by the IASI instrument have on the prediction of ET cases. A period in September 2008 was chosen in which three tropical cyclones underwent ET over the Atlantic or the United States which were related to distinct atmospheric developments over Europe and the Mediterranean Sea. In one of the experiments the observation density in the data assimilation system during the ET periods is tested. Liu and Rabier (2003) have shown in their study with simulated observations that in the case of uncorrelated observation errors enhancing the density can improve the analysis and the forecast in general. However, if the observation errors are correlated and the correlation length exceeds a certain threshold enhanced observation density can degrade analysis and forecast. Another experiment is designed to investigate the influence of IASI data on the analysis and forecast. In a further experiment the influence of additional IASI humidity observations, which improve the representation of the important moisture processes during an ET, is investigated. 0 0.2 0.4 0.6 0.8 1 0
P o S ( K M I 2 0 1 3 ) 0 4 2 GRAINE project : gamma-ray observation with a balloon-borne emulsion telescope

The Gamma-Ray Astro-Imager with Nuclear Emulsion (GRAINE) is a balloon-borne experimental project for the precise observation of cosmic gamma-rays. A next generation detector “emulsion telescope" for GRAINE consists of large area (∼10 m2) nuclear emulsion plates, which are three-dimensional charged particle tracking devices with the submicron spatial resolution. The telescope has the higher angular resolution and the linear polarization sensitivity for 10 MeV–10 GeV gamma-rays than the Large Area Telescope on board the Fermi Gamma-ray Space Telescope (Fermi-LAT). In 2011, a technical flight was performed by employing a small-scale telescope (125 cm2 aperture area), and the feasibility of each component of the detector was demonstrated. The next balloon flight, which will take place in Australia after 2014, is aimed at detecting and imaging the Vela pulsar. By the detection and subsequent imaging of the Vela pulsar, the brightest source in the high energy gamma-ray sky, we will verify the overall performance of the emulsion telescope. Here we report an overview and status of GRAINE.