Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterizations of Noise in Kinect Depth Images: A Review

In this paper, we characterize the noise in Kinect depth images based on multiple factors and introduce a uniform nomenclature for the types of noise. In the process, we briefly survey the noise models of Kinect and relate these to the factors of characterization. We also deal with the noise in multi-Kinect set-ups and summarize the techniques for the minimization of interference noise. Studies on noise in Kinect depth images are distributed over several publications and there is no comprehensive treatise on it. This paper, to the best of our knowledge, is the maiden attempt to characterize the noise behavior of Kinect depth images in a structured manner. The characterization would help to selectively eliminate noise from depth images either by filtering or by adopting appropriate methodologies for image capture. In addition to the characterization based on the results reported by others, we also conduct independent experiments in a number of cases to fill up the gaps in characterization and to validate the reported results.
A multilingual text-mining approach based on self-orginizing maps for semantic web mining

Absfruck Extraction of semantics from web documents has been becoming an essential technique for the implementation of ? Semantic Web”. This paper aims to explore a method for automatically grouping semantically related term and documents in multiple languages and a representation of their cross4ingual semantic relations. We propose a novel algorithmic approach for multilingual text mining from a bilingual corpus (i.e. a Chinese and English text collection), based on a neuralnetwork techukpe, namely the s e f f o r g ~ ~ g map (SOM). When exposed to raw multilingual text, the model clusters words and documents according to their semantic relatedness to form a semantic network. In addition, we apply the semantics extracted from the resulting document clusters, along with a XML document technique, to carry out the task of re-categorization of web pages. As such, the multilingual web texts can be re-categorized based on the resulting semantic relatedness among the documents in the corpus.
Minimum-Time Trajectory Planning for Underactuated Overhead Crane Systems With State and Control Constraints

In this paper, we propose a novel offline minimum-time trajectory planning (MTTP) approach for underactuated overhead cranes. To the best of our knowledge, it is the first optimal solution to the MTTP problem for overhead crane systems, which simultaneously takes into account various constraints, including the bounded swing angle for the payload, bounded velocity, acceleration, and even jerk for the trolley. Different from existing approaches, by means of system discretization and augmentation, the quasi-convex optimization technique is successfully adopted to find the minimum-time solution while satisfying all the aforementioned constraints. Extensive simulation and experiments with comparisons to previously published methods are conducted to show the superior performance of the proposed method. Note that the results derived in this paper also serve as promising guidance in engineering applications, since it provides a performance limit, namely, the possible highest efficiency for automatic or manual operation of overhead cranes.
A Lexicon-based Approach to Build Service Provider Reputation from Arabic Tweets in Twitter

Nowadays Social media has become a popular com-munication tool among Internet users. Many users share opinions and experiences on different service providers everyday through the social media platforms. Thus, these platforms become valuable sources of data which can be exploited and used efficiently to support decision-making. However, finding and monitoring customers’ opinions on the social media is difficult task due to the fast growth of the content. This work focus on using Twitter for the task of building service providers’ reputation. Particularly, service provider’s reputation is calculated from the collected Saudi tweets in Twitter. To do so, a Saudi dialect lexicon has been developed as a basic component for sentiment polarity to classify words extracted from Twitter into either a positive or negative word. Then, beta probability density functions have been used to combine feedback from the lexicon to derive reputation scores. Experimental evaluations show that the proposed approach were consistent with the results of Qaym, a website that calculates restaurants’ rankings based on consumer ratings and comments.
A calibration method for non-overlapping cameras based on mirrored phase target

A novel calibration method for non-overlapping cameras is proposed in this paper. A LCD screen is used as a phase target to display two groups of orthogonal phase-shifted sinusoidal patterns during the calibration process. Through a mirror reflection, the phase target is captured by the cameras respectively. The relations between each camera and the phase target can be obtained according the proposed algorithm. Then the relation between the cameras can be calculated by treating the phase target as an intermediate value. The proposed method is more flexible than conventional mirror-based approach, because it do not require the common identification points and is robust to out-of-focus images. Both simulation work and experimental results show the proposed calibration method has a good result in calibrating a non-overlapping cameras system.
Smart Powered Wheelchair Platform Design and control for People with Severe Disabilities

Develop ment of new systems for disabled and elderly people's assistance requires a multidiscip linary approach based on new technologies according to users' needs. Intelligent wheelchairs can help this category of people to live more independently. The purpose of this paper is to propose and develop embedded control architecture for smart wheelchair monitoring, leading to gain mob ility and independency. The control arch itecture uses virtual impedance principle and is based on some considerations concerning external force-feedback joystick abilities to translate variations of distances between the wheelchair and obstacles into a perceived effort . To test the effectiveness and evaluate performances of the proposed control architecture, some simulat ions and experimentations on a smart wheelchair called LIASD-WheelChair, are designed in this respect.
Linear and nonlinear properties of Rao-dust-Alfven waves in magnetized plasmas

The linear and nonlinear properties of the Rao-dust-magnetohydrodynamic (R-D-MHD) waves in a dusty magnetoplasma are studied. By employing the inertialess electron equation of motion, inertial ion equation of motion, Ampere’s law, Faraday’s law, and the continuity equation in a plasma with immobile charged dust grains, the linear and nonlinear propagation of two-dimensional R-D-MHD waves are investigated. In the linear regime, the existence of immobile dust grains produces the Rao cutoff frequency, which is proportional to the dust charge density and the ion gyrofrequency. On the other hand, the dynamics of amplitude modulated R-D-MHD waves is governed by the cubic nonlinear Schrodinger equation. The latter has been derived by using the reductive perturbation technique and the two-timescale analysis which accounts for the harmonic generation nonlinearity in plasmas. The stability of the modulated wave envelope against non-resonant perturbations is studied. Finally, the possibility of localized envelope ex.
Low voltage fully integrated dc-dc converter for self-powered temperature sensors

A low voltage fully integrated DC-DC converter with power management system is presented for self-powered temperature sensors. The proposed circuit uses 0.18 μm CMOS technology, and has been verified in simulations. The system can start up with input voltage as low as 0.17 V, and generates 1 V regulated output with 18% peak efficiency. Off-chip components or non-standards processes are avoided for fully standard CMOS integration in ultra-low voltage and low cost system-on-chip applications.
Half-height pins - a new pin form in gap waveguide for easy manufacturing

Gap waveguide is a promising transmission structure, especially for millimeter wave and THz applications. It does not require conductive connection between the top and bottom plates, and therefore this technology gain advantages over conventional rectangular waveguides and SIWs (Substrate Integrated Waveguides) above 100 GHz. In this paper, a new pin form, the half-height pin, is proposed for the gap waveguide. This new half-height pin form has similar stop-band performance as the previous quarter-wavelength long pin form. However, there must be such half-height pins on both the upper and lower plates, in contrast to one of the two having pins in the original gap waveguide. The shorter length of the pins makes the fabrication of the pin surface much easier, such as by e.g. die-forming, molding or MEMS technology. The current work paves the way for mass production of gap waveguide devices and systems at millimeter wave and THz.
Space-Division Demultiplexing in Orbital-Angular-Momentum-Based MIMO Radio Systems

Radio beams that carry nonzero orbital angular momentum (OAM) are analyzed from the viewpoint of a multiple-input-multiple-output (MIMO) communication system. Often, the natural OAM-beam orthogonality cannot be fully exploited because of spatial constraints on the receiving antenna size. Therefore, we investigate how far OAM-induced phase variations can be exploited in spatial demultiplexing based on conventional (linear momentum) receivers. Performances are investigated versus position and size of the transmitting and receiving devices. The use of OAM-mode coherent superpositions is also considered, in view of recent work by Edfors et al. Our final goal is to assess the merits of an OAM-based MIMO system, in comparison with a conventional one.
Image Quality (IQ) based liveness detection system for multi-biometric detection

Biometric Systems gained attention in all over the world because of its reliability and user friendly approach. In contrast to these advantages, these biometric systems are highly fence less to fraudulent attacks via fake self manufactured, synthetic or reconstructed samples which is particular problem of biometrics. To ensure the security of biometric system, needs to develop a novel method which reduce the vulnerability. Here, we proposed a novel software based method based on liveness detection system to detect the real and fake samples by using Image Quality Assessment(IQA) for multiple biometric system achieving the objective enhancing the security level of biometric recognition framework. For experimental results, real and dummy database of fingerprint and face has been taken. From one image, 14 image quality measures has been determined which helps in distinguishing the real and fake samples. The proposed system is fast, user-friendly, provides high performance, non-invasive in nature and having low cost and highly competitive than other state of the art approaches. After analysis of the image quality of real and fake biometric samples, it conveys the valuable information which efficiently helps in distinguishes them from fake samples.
Phase space vector modulation for a four-leg voltage source inverter

The purpose of this paper is to obtain the high performance modulation that combines all features in one: the power efficiency, the robustness to switching disturbances and the currents balancing under an unbalanced load. Due to the high power efficiency, this type of modulation is very attractive for high dynamic applications such as electrical vehicles. The performance efficiency of the proposed modulation in comparison with a conventional one is shown.
Size-Dependent-Transport Study of In 0 . 53 Ga 0 . 47 As Gate-All-Around Nanowire MOSFETs : Impact of Quantum Confinement and Volume Inversion

InGaAs gate-all-around nanowire MOSFETs with channel length down to 50 nm have been experimentally demonstrated by a top-down approach. The nanowire size-dependent transport properties have been systematically investigated. It is found that reducing nanowire dimension leads to higher oncurrent, transconductance, and effective mobility due to stronger quantum confinement and the volume-inversion effect. TCAD quantum mechanical simulation has been carried out to study the inversion charge distribution inside the nanowires. Volumeinversion effect appears at a larger dimension for InGaAs nanowire MOSFET than its Si counterpart.
Electrical properties of montmorillonite nanoclay reinforced unsaturated polyester nanocomposite

In this present investigation the following electrical properties such as A.C conductivity, Dielectric loss factor, Dielectric strength, Volume resistivity and surface resistivity of nanoclay filled unsaturated polyester nanocomposite have been studied. The decreasing value of direct current volume resistivity and surface resistivity were found for the addition of nanoclay up to 3 wt %. Further increasing amount of clay increases the resistivities which show lesser value than pure polyester. The dielectric constant, AC conductivity and dielectric loss factor were analyzed and they show decreasing trend in same fashion for the lower content of nanoclay addition. The increasing addition of clay (<; 3 wt %) produces significant changes in electrical properties. The dispersion mechanism of clay filled nanocomposites was studied by using X - ray diffractogram and Transmission electron microscope.
Long-Term In Vitro Effectiveness of A Bioglass Desensitizing Agent Investigated Using Electrochemical Impedance Spectroscopy, Atomic Force Microscopy and Scanning Electron Microscopy

Objectives: To compare the long-term in vitro effectiveness of a newer desensitizing agent containing bioactive glass and two other commercial products employed for dentin hypersensitivity. Methods: Fifty occlusal dentin disks from extracted sound human third molars were treated with 0.5M ethylenediaminetetraacetic acid for 2 min then randomly divided into five groups (n=10). Specimens were brushed for 2 min twice daily with Actimins Paste (Group1), Lesening Super Desensitizing Toothpaste (Group2), Colgate Sensitive Pro-Relief Desensitising Polishing Paste (Group3) and distilled water (Group4) at 9:00 am and at 5:00 pm. Specimens in Group5 had no brushings. All specimens were immersed sequentially for 5 min into coffee (pH=5.4) at 10:00 am and undiluted cola (pH=2.5) at 6:00 pm. Dentin permeability was measured weekly over one month using electrochemical impedance spectroscopy (EIS). Data were analyzed using two-way repeated measures ANOVA and post hoc LSD tests. Dentin microstructures were observed at one month by atomic force microscopy and scanning electron microscopy. Results: The three desensitizing agents significantly reduced dentin permeability over one month. Post hoc LSD tests of the EIS values indicated that brushing with Actimins showed no significant difference from Colgate Sensitive (P=0.32), and that both agents had significantly less permeability than Lesening (P<0.05). Conclusions: The three desensitizing agents were effective in occluding dentinal tubules and reducing permeability to varying extents over one month, with Actimins and Colgate Sensitive being the most effective. Actimins might be initially, a faster-working desensitizing agent. Clinical significance: Actimins, a newer desensitizing agent containing bioactive glass, has the potential to relieve dentin hypersensitivity in the presence of long-term daily acidic beverage ingestion.
Contrast Medium Delivery Strategies and Radiation Dose Parameters Affecting Renal CT Angiography: Literature Review

Poster: "ECR 2014 / C-0170 / Contrast Medium Delivery Strategies and Radiation Dose Parameters Affecting Renal CT Angiography: Literature Review" by: "I. Alsheikh Deeb, C. Saade, F. El-Merhi; Beirut/LB"
Measurement of Temperature Induced Unfolding of DNA Hairpins by Microcantilever Sensors

The technical feasibility of monitoring DNA melting and cooling transitions using a microcantilever substrate has been demonstrated and these results were compared with those measured in solution by circular dichroism. DNA hairpins have been immobilized on the surface of gold-coated microcantilever surfaces and their DNA melting and cooling transitions were monitored by nanomechanical deflections. The hairpins comprised of a 16 base-pair GACA repeat motif stem duplex with a 29 nucleotide variable region. Microcantilever deflection profiles, measured by the microcantilever response as a function of temperature, were unique to different hairpins indicative of the molecules’ general stability and denaturation characteristics. The major melting and cooling transition temperatures for all three immobilized oligonucleotides were between 41。 C - 52。 C. The composition and flexibility of the DNA stem loops were shown to influence the thermal transitions.
The relationship between plasma concentration of metoprolol and CYP 2 D 6 genotype in patients with ischemic heart disease

Background: Metoprolol is the one of the most commonly used b-blockers in the treatment of ischemic heart disease and it is extensively metabolized in the liver undergoing oxidation by CYP2D6 isoenzyme of cytochrome P450. Gene encoding the CYP2D6 enzyme is characterized by genetic polymorphism. The CYP2D6 oxidation polymorphism has a major impact on the effectiveness and safety of the treatment. The aim of the study was to evaluate the relationship between plasma concentration of metoprolol and the CYP2D6 genotype in patients with ischemic heart disease. Methods: Fifty patients were interviewed and subsequently enrolled into the study. The patients received metoprolol twice daily at a dose of 50 mg. The blood samples were analyzed for two major defective alleles for CYP2D6 – CYP2D6*4 and CYP2D6*3 – by the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Metoprolol concentration in plasma was determined by using the new and unique high-performance liquid chromatography (HPLC) method in the author’s own modification with Corona CAD detector (Charged Aerosol Detection). Results: In the test group, genotypes conditioning poor oxidation (PM) occurred in 3 patients (6%), while 47 patients (94%) had genotypes coding for extensive metabolism (EM). Patients with PM genotypes had significantly higher plasma concentrations of metoprolol than the patients with EM genotype (mean 92.25 SD 36.78 ng/ml vs. mean 168.22 SD 5.61 ng/ml, respectively). Established relationships were statistically significant (NIR test, p = 0.0009). Conclusions: This study demonstrated that the CYP2D6 genotype remains a major determinant of the metoprolol plasma concentrations. The pharmacogenetic effect is likely to have consequences on both, the clinical benefit of metoprolol treatment and adverse drug reactions. The use of Corona CAD detector seems to be a very good alternative method for the determination of metoprolol concentration in plasma. 2014 Institute of Pharmacology, Polish Academy of Sciences. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved.
Unveiling Capacity Gains in Ultradense Networks: Using mm-Wave NOMA

Millimeter-wave (mm-wave) communications and nonorthogonal multiple access (NOMA) are two important techniques to achieve high data rates in fifth-generation (5G) ultradense networks (UDNs). Due to interference that is intentionally added during the superpositioned transmissions with NOMA, an additional power budget is required to maintain the target block error rate (BLER). This necessitates the consideration of new approaches to ensure the power efficiency of NOMA systems. In this article, we show that this additional required power can be implemented using the directional transmission capabilities offered by mm-wave antenna arrays. Through the use of our small cells cluster simulations, we investigate the performance of NOMA in mm-wave frequency bands with consideration to the total system capacity, hybrid resource allocation, pairing probability, and power requirements. We demonstrate that a 30&deg; beamwdith, as opposed to a typical 120? beamwidth, can result in a 20% system-capacity gain without requiring any extra transmission power. Our results indicate novel tradeoffs between system capacity, pairing probability, and transmission power in mm-wave NOMA networks owing to the effect of beamwidth variations. We conclude by summarizing the future challenges of NOMA in mm-wave bands.
FLAT 2 D : Fast Localization from Approximate Transformation into 2 D

Many autonomous vehicles require precise localization into a prior map in order to support planning and to leverage semantic information within those maps (e.g. that the right lane is a turn-only lane.) A popular approach in automotive systems is to use infrared intensity maps of the ground surface to localize, making them susceptible to failures when the surface is obscured by snow or when the road is repainted. An emerging alternative is to localize based on the 3D structure around the vehicle; these methods are robust to these types of changes, but the maps are costly both in terms of storage and the computational cost of matching. In this paper, we propose a fast method for localizing based on 3D structure around the vehicle using a 2D representation. This representation retains many of the advantages of “full” matching in 3D, but comes with dramatically lower space and computational requirements. We also introduce a variation of Graph-SLAM tailored to support localization, allowing us to make use of graph-based error-recovery techniques in our localization estimate. Finally, we present real-world localization results for both an indoor mobile robotic platform and an autonomous golf cart, demonstrating that autonomous vehicles do not need full 3D matching to accurately localize in the environment.
TIP ’ 02 Preliminary Version Set Types and Applications

We present pml, a programming language that includes primitive sets and associated operations. The language is equipped with a precise type discipline that statically captures dynamic properties of sets, allowing runtime optimizations. We demonstrate the utility of pml by showing how it can serve as a practical implementation language for higher-level systems: it can express several forms of programming language-based security, and implement inferred monomorphic ow types.
Controlling a hand orthosis by means of P300-based brain computer interface

This paper aims to present a BCI based rehabilitation system and communication tool for stroke survivors. The system uses P300 evoked potential in order to control a hand orthosis or to write text. The key element is the real-time feature extraction and classification that works fast enough to present a feedback to the patient on the computer display. That helps the patient to learn faster to control the BCI system. The integration of a wireless control mechanism for the orthosis subsystem yields an easier setup phase and ensures a certain degree of freedom for the patient.