Miracle-dz/UniFAR-FTUs huggingface dataset:
LET-WEB 3 D 2004 First International Workshop on Web 3 D Technologies in Learning , Education and Training

Web3D open standards (such as VRML and X3D) allow the delivery of interactive learning environments through the Internet, reaching potentially large numbers of learners worldwide, at any time. This paper introduces and discusses the educational use of Virtual Reality based on Web3D technologies. We highlight the interesting features of these solutions and summarize the pedagogical basis that motivated their exploitation. We outline the main positive and negative results obtained so far, and point out some of the current research directions.
A Target Recognition-Based NLOS Identification Algorithm

In this paper, we develop a target recognition-based algorithm for line-of-sight (LOS) and non-line-of-sight (NLOS) identification, which can be used for channel modeling and parameter analysis. The algorithm first extracts angular information by using target recognition algorithms and then builds a classifier by using support vector machines. Based on the realistic channel measurements, the proposed algorithm achieves fairly high accuracy on LOS/NLOS identification.
Two-Way Phase Shifter with Equal Phase Shift

This paper presents a novel phase shifter working two-way at two different frequencies in order to obtain equal phase shift. The proposed phase shifter consists of two grounded coplanar waveguide (GCPW) lines and high dielectric constant slab over the GCPW lines. In realization of equal phase shift at two different frequencies, the length of two GCPW lines should be have inverse portion of frequency. Also, the length of BLT assumes to be equal to the length of two GCPW Lines. The simulated results show equal phase shift at 20GHz and 30GHz which is highly desired for many applications such as full duplex array, interleaved array, and multiband array.
An Octa-Band Antenna for LTE Mobile Handsets without Ground Clearance

An octa-band antenna for LTE mobile handsets without ground clearance is proposed and studied. The total size of the mobile phone is 141mm×79mm×7.5mm. The proposed antenna consists of two monopole branches, a match circuit and two open slots. With the help of the match circuit, the two monopole branches are used to produce the main working modes at the lower band (698-960MHz) and the higher band (1710-2690MHz). One of the slots is used to produce a new resonant frequency at the higher band, and the other slot is used to make the lower band matched. The simulated -5 dB impedance bandwidth at the lower band is 268MHz (695-963MHz) and the simulated -6dB impedance bandwidth at the higher band is 1300MHz (1700-3000MHz). The LTE700, GSM850, GSM900, DCS, PCS, UMTS, LTE2300, and LTE2500 bands are covered. The simulated efficiencies are 50-76% and 63-91% at the lower and higher bands, respectively.
N ov 2 01 8 Hermiticity of the Volume Operators in Loop Quantum Gravity

The aim of this article is to provide a rigorous-but-simple steps to prove the hermiticity of the volume operator of Rovelli-Smolin and Ashtekar-Lewandowski using the angular momentum approach, as well as pointing out some subleties which have not been given a lot of attention previously. Besides of being hermitian, we also prove that both volume operators are real, symmetric, and positive semi-definite, with respect to the inner product defined on the Hilbert space over SU(2). Other special properties follows from this fact, such as the possibility to obtain real orthonormal eigenvectors. Moreover, the matrix representation of the volume operators are degenerate, such that the real positive eigenvalues always come in pairs for even dimension, with an additional zero if the dimension is odd. As a consequence, one has a freedom in choosing the orthonormal eigenvectors for each 2-dimensional eigensubspaces. Furthermore, we provide a formal procedure to obtain the spectrum and matrix representation of the volume operators. In order to compare our procedure with the earlier ones existing in the literature, we give explicit computational examples for the case of monochromatic quantum tetrahedron, where the eigenvalues agrees with the standard earlier procedure.
POST HARVEST DRYING OF TOMATO (Lycopersicon esculentum Mill) SEEDS TO ULTRA LOW MOISTURE SAFE FOR STORAGE USING DESICCANT (ZEOLITE) BEADS AND THEIR EFFECTS ON SEED QUALITY

An investigation was conducted on post harvest drying of tomato (Lycopersicon esculentum) seeds to safe storage moisture using desiccant (zeolite) beads and their effects on seed quality was carried out during August 2011 to April 2012 at the Department of Seed Science and Technology, ANGRAU, Rajendranagar, Hyderabad. The treatments included seed drying using zeolite beads and silica gel under ambient conditions. The experiment was laid out in completely randomized design with five treatments and three replications. The study revealed that zeolite beads at 1:1and 0.5:1 bead seed ratio dried the seeds to the lowest moisture content of 4.4 and 7% respectively after 96 hours of seed drying which was followed by silica gel at 1:1 and 0.5:1 silica gel to seed ratio which lowered seed moisture to 7.2% and 8.4% after 96 hrs of seed drying, respectively. Germination percent was not significantly (P=0.05 ) affected by the extent and speed of seed drying after 96 hrs with desiccants zeolite beads and silica gel and remained the same as that of the control.
Intra-day Tie-line Scheduling Model Considering New Energy Fluctuation

Fluctuations of new energy output cannot be effectively accommodated in the traditional cross-regional or cross-provincial tie-line scheduling since it’s established mainly based on power transactions, therefore, it is less involved in the intra-day adjustments. The Intra-day Tie-line Scheduling Model Considering New Energy Volatility is presented in this paper in response to this situation. In the Model, a intra-day scheduling model is established based on the cross-section of the tie-line and the sub-provincial reserve control after the treatment of their equivalent forms against fuzzy opportunity constraints of the spinning reserve according to credibility distribution function of the error in the new energy prediction. The result after applying the Model to the actual example indicates that the Model is useful to optimize the reasonable intra-day tie-line scheduling when the reserve is insufficient, and thus enhance the mutual-accommodation capacity of interconnected power grids to effectively improve the accommodation level of new energy.
Feldstein-Horioka Puzzle and International Capital Mobility in High Income Countries: A Pool Mean Group Approach

This paper reexamines the status of international capital mobility under the Feldstein-Horioka (1980) hypothesis by comparing the results from the OECD and non-OECD high income categories. Data on savings and investment ratios of 21 OECD and 17 non-OECD countries were analyzed using the dynamic heterogeneous panel estimators of Pooled Mean Group (PMG), Mean Group (MG) and Dynamic Fixed Effects (DFE). Based on the series of Hausman post-estimation test, result from the PMG is upheld. The saving-retention coefficient, showing the level of international capital mobility, reads 0.89, 0.93 and 0.16 for the high-income group, OECD category and non-OECD category respectively. This suggests lower capital mobility in high-income as a whole and OECD countries, and higher capital mobility in the non-OECD countries. The contradictory findings confirmed that the Feldstein-Horioka saving-retention coefficient is unlikely, a viable option of measuring cross-border capital mobility. Further researches therefore need to re-observe the qualification of saving-retention coefficient in explaining international capital mobility. DOI: http://dx.doi. org/10.5755/j01.ee. 25.5. 3539
Comparative Study on Directional Sensitivity of Patch-Antenna-Based Strain Sensors

In this paper, we present a comparative study into the directional sensitivity of patch-antenna-based strain sensors. Two linearly-polarized (LP) patch sensors versus a circularly-polarized (CP) patch sensor with identical configurations are demonstrated. The strain occurred in real structures is commonly uncertain, the usefulness of LP-patch sensor becomes limited. Like the conventional strain gauges, it only be used if the strain direction is known beforehand. Therefore, a nearly-square CP-patch sensor for multi-directional strain monitoring is proposed here. In order to obtain high sensitivity, three novel strain sensing methods are proposed for strain monitoring. Multi-directional strain sensing is achieved by a proof-of-concept prototype. The simulated results verified by experimental results show that high sensitivities of these three methods were achieved.
Price competitions of substitutable products in a retailer-led dual-channel supply chain

This article considers a dual-channel supply chain with two manufacturers and one dominant retailer. Specifically, the two manufacturers produce two substitutable products and sell them to the dominant retailer, one of the two manufacturers is a traditional manufacturer who produces a product and only directly sells it to the dominant retailer, while the other manufacturer has established an Internet channel, so that he can sell his product to the retailer and can sell his product to consumers directly through the Internet channel. By considering the effect of channel members' market powers, this paper examines the channel members' price competition, Internet vs. traditional channels competition and the benefit for one of the two manufacturers when he opens an Internet channel. Two decision models are established and the corresponding closed-form expressions for model solutions are obtained. Then, sensitivity analysis of model solution is conducted for some key parameters, and the maximal profits and optimal prices obtained in different decision models are compared by numerical analysis. Based on these results, some interesting and valuable economic and managerial insights are obtained.
Split Ring Loaded Dual-polarized Dielectric Resonator Antennas

In this paper, dual-polarized dielectric resonator antennas (DRAs) with split rings are proposed and investigated. The antennas are designed to operate at the center frequency of 1.25 GHz. The effect of the DRA length to height ratio on cross-polarization is studied. The validity of two cross-polarization reduction techniques, i.e. short probe-stripline differential feeding and SRR gap width reduction, are verified. A bandwidth of 76.6 MHz and below −25 dB cross-polarizations are achieved from an antenna with electrical dimensions of 0. 122λ * 0. 054λ * 0. 001λ for X-polarization and 0. 137λ * 0. 046λ * 0. 001λ for Y-polarization.
A Novel Dual Polarized Tunable Frequency Selective Surface With Varactors

In this paper, a novel dual polarized varactor-tuned frequency selective surface with embedded bias-network is presented. The proposed FSS is composed of a dielectric slab and a metallic layer. Symmetric meandered square loop geometry is chosen as an FSS geometry in order to achieve miniaturization and insensitivity for polarization. Tuning is realized by loading four varactor diodes around the meandered loop slot. Analyzes of the FSS are carried out in CST. The simulation results shown that the resonant frequency can be adjusted from 3.8 GHz to 5.76 GHz by changing the loaded varactors.
Frequency response of a WG-SACM-APD InGaAs/InP structure

A theoretical model of a waveguide avalanche photodiode (WG-APD) for an InGaAs/InP with separate absorption, charge and multiplication (SACM) regions, is presented and its frequency response is surveyed. We studied the carrier velocity differences in the adjacent layers and we showed that there are some variations in the case of non equal carrier velocities for the frequency response of the structure. We also found that the same velocities are considered for all layers if we choose an appropriate thickness for different layers.
Heat and Drought Tolerance in Wheat: Integration of Physiological and Genetic Platforms for Better Performance Under Stress

Heat and drought stress are currently the leading threat on world’s food supply, limiting wheat yield. The extent and severity of stress affected agricultural land is predicted to worsen as a result of inadequate irrigation resources, declining water tables and global warming. Drought/heat tolerance is crucial to stabilize and increase food production since domestication has limited the genetic diversity of crops including wild wheat, leading to cultivated species, adapted to artificial environments, and lost tolerance to stress episodes. Breeding for this trait is complicated as it is controlled by polygenes and their expressions are influenced by various environmental elements and molecular methods such as molecular markers, quantitative trait loci (QTL) mapping strategies, and expression patterns of genes should be applied to produce heat/drought tolerant genotypes. Understanding the mechanism of stress tolerance along with a plethora of genes involved in stress signaling network is important for wheat improvement. Integrating physiology and biotechnological tools with conventional breeding techniques will help to develop wheat varieties with better grain yield under stress during reproductive and grain-Şlling phases. We briefly consider mechanisms of adaptation and highlight recent research examples through a lens of their applicability to improve the efŞciency of wheat under stressful Şeld conditions. Improvement for stress tolerance can be achieved by the introduction of drought and or heat related genes and QTLs to modern wheat cultivars
Algebraic Nonlinear Identification and Output Tracking Control of Synchronous Generator using Differential Flatness

A kernel-based approach is explored to enhance robustness of flatness-based nonlinear tracking control design for a synchronous generator machine. The design involves full system identification and nonlinear filtering of the system state, to permit effective implementation of a nonlinear controller based on differential flatness of the model. The difficulty associated with robust implementations of flatness-based controllers resides in the necessity of fast and accurate estimation of higher order derivatives of the noisy, observed flat output. The recently developed forward-backward kernel estimation methods [1], lend themselves powerfully for this task. Two LTI surrogate models are used with the nonlinear model of the machine to serve identification and filtering of the state, and are switched seamlessly to generate persistent excitation for the purpose of a complex nonlinear identification of all the system parameters. The approach does not require a separate start-up phase for identification purposes. The need for on-line adaptive identification and associated re-tuning of the controller is detected and implemented during full operation of the machine. Neither the identification nor the state estimation procedures need any re-initialization while rendering improved accuracy of derivative estimates due to the forward-backward smoothing feature of the kernels involved.
Visual destination images in user-generated short videos: An exploratory study on Douyin

Comparing to user-generated texts and photos, seldom research has examined visual destination images revealed in user-generated short videos. With the latest video artificial intelligence (AI) technologies to tag the contents of user-generated short videos, this study extracted destination images of two famous attractions, i.e., the Forbidden City and the Badaling Great Wall on Douyin platform, and compared the results between user-generated short videos and textual travel blogs. Our findings demonstrate the validity of our proposed video-AI based visual destination image extraction method and also suggest that short videos and textual travel blogs excel in different ways to reveal destination images. Our study provides a promising direction to study visual destination images for researchers and practitioners.
Segmentation and Detection of Roads in Mountainous Terrain Using Satellite Images: Survey

_________________________________ Abstract - Street systems assume a vital part in various geospatial applications, for example, cartographic, framework arranging and movement steering programming. Programmed and self-loader street system extraction strategies have fundamentally expanded the extraction rate of street systems. The street location execution is a discriminatingly influenced by the low recurrence pictures. Street edge location assumes a critical part to recognize the heading of the street and the particular area of deterrents, size and rate of snags in the street. In this paper, a few street location methods are hypothetically dissected, and are utilized for street recognition. By looking at some remarkable procedures it is observed that there exist numerous crevices in the methods proposed in this way. This paper winds up with suitable future course to improve the street discovery strategy.
Characterizing the Limitations of Forensic Event Reconstruction Based on Log Files

Many forensic investigations include the analysis of log files. In a scenario of a single GNU/Linux server running Apache and Wordpress, we study which types of events can be inferred from log files and which ones not. Based on a formal definition of event reconstruction, we systematically compare which sources of logging information have which effect on the possibility to reconstruct events. Thereby, we attempt to characterize the limitations of forensic event reconstruction based on log files. The evaluation revealed that especially typical insider attacks leave few traces in common log files. Using traces from selected system calls considerably increases the possibility of incident detection.
Eye Controlled Wheelchair Using Transfer Learning

The freedom of mobility affects an individual’s sense of prominence and confidence. Because of diseases injuring the nervous system like Amyotrophic Lateral Sclerosis (ALS) and Parkinson disease, people lose their ability to move outmoded wheelchairs. This paper presents a novel technique to control a wheelchair by using eye movements. Eye controlled chair comprised of an electric wheelchair, a webcam in front of the user’s eye capturing eyeball movements with a low-cost Raspberry pi system, serially communicating with Arduino microcontroller to drive wheelchair in the desired direction. The transfer learning approach was adopted instead of traditional image processing techniques, making wheelchair more reliable and accurate. Keras deep learning pre-trained VGG-16 model led us to achieve excellent performance, with very little training dataset. Unlike conventional wheelchairs, presented methodology makes this wheelchair equally suitable for people wearing eye glasses.
No . 22 / 2010 Quantum Navier-Stokes Equations

Compressible Navier–Stokes models for quantum fluids are reviewed. They are derived from a collisional Wigner equation by a moment method and a Chapman–Enskog expansion around the quantum equilibrium. Introducing a new velocity variable, the barotropic quantum Navier-Stokes model can be reformulated as a viscous quantum Euler system, which possesses a new Lyapunov (energy) functional. This functional provides a priori estimates which are exploited to prove the global-in-time existence of weak solutions for general initial data. Furthermore, new numerical results for the isothermal model are presented.
3D Fingerprint Recognition based on Ridge-Valley-Guided 3D Reconstruction and 3D Topology Polymer Feature Extraction

An automated fingerprint recognition system (AFRS) for 3D fingerprints is essential and highly promising for biometric security. Despite the progress in developing 3D AFRSs, achieving high-quality real-time reconstruction and high-accuracy recognition of 3D fingerprints remain two challenging issues. To address them, we propose a robust 3D AFRS based on ridge-valley (RV)-guided 3D fingerprint reconstruction and 3D topology polymer (TTP) feature extraction. The former considers the unique fingerprint characteristics of the RV and achieves real-time reconstruction. Unlike traditional triangulation-based methods that establish correspondences between points by cross-correlation-based searching, we propose to establish RV correspondences (RVCs) between ridges/valleys by defining and calculating a RVC matrix based on the topology of RV curves. To enhance depth reconstruction, curve-based smoothing is proposed to refine our novel RV disparity map. The TTP feature codes the 3D topology by projecting the 3D minutiae onto multiple planes and extracting their corresponding 2D topologies and has proven to be effective and efficient for 3D fingerprint recognition. Comprehensive experimental results demonstrate that our method outperforms the state-of-the-art methods in terms of both reconstruction and recognition accuracy. Also, due to its very short running time, it is appropriate for practical applications.
Zero Ripple High-Gain DC/DC Converter Based on Switched Capacitor Network

As an important supplement to fossil energy power generation, photovoltaic power generation has the advantages of clean and renewable energy. Due to the output voltage of photovoltaic power generation is too low to meet the demand of grid-connected inverters, a high-gain DC/DC converter for photovoltaic power generation is proposed in this paper. On the basis of the switched capacitor network, a ripple suppression circuit is introduced. The independent inductor is wound on the same core to form a coupled inductor, which reduces the volume of the magnetic component. The ripple absorption circuit is composed of auxiliary inductor and auxiliary capacitor, which overcomes the shortcoming of large input current ripple of high-gain converter based on switched capacitor. Moreover, the switch is not directly connected to the output, which reduces the voltage stress of the switch. On this basis, a quadratic boost circuit (QBC) is combined with the proposed circuit to further improve voltage gain. Finally, the simulation verification is carried out using the PSIM software on the basis of the principle analysis.
Low-Cost and Highly Flexible Antenna for 2.4 GHz IoT applications

A low-cost and highly flexible patch antenna has been realized to demonstrate feasibility of commercially off-the-shelf (COTS) Silicone Sponge Rubber (SSR) as a flexible RF substrate. The material enables the fabrication of highly flexible conformal antennas. The target application of the antenna is in the field of Internet of Things (IoT) when an antenna for conformal surface is required. Simulation and measurements results are presented for several conformal surfaces.