Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Kernel Discriminant Analysis via Spectral Regression

Linear discriminant analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing the between class covariance and simultaneously minimizing the within class covariance. LDA can be performed either in the original input space or in the reproducing kernel Hilbert space (RKHS) into which data points are mapped, which leads to Kernel Discriminant Analysis (KDA). When the data are highly nonlinear distributed, KDA can achieve better performance than LDA. However, computing the projective functions in KDA involves eigen-decomposition of kernel matrix, which is very expensive when a large number of training samples exist. In this paper, we present a new algorithm for kernel discriminant analysis, called spectral regression kernel discriminant analysis (SRKDA). By using spectral graph analysis, SRKDA casts discriminant analysis into a regression framework which facilitates both efficient computation and the use of regularization techniques. Specifically, SRKDA only needs to solve a set of regularized regression problems and there is no eigenvector computation involved, which is a huge save of computational cost. Our computational analysis shows that SRKDA is 27 times faster than the ordinary KDA. Moreover, the new formulation makes it very easy to develop incremental version of the algorithm which can fully utilize the computational results of the existing training samples. Experiments on face recognition demonstrate the effectiveness and efficiency of the proposed algorithm.
Enhanced Least-Squares Positioning Algorithm for Indoor Positioning

This paper presents an enhanced least-squares positioning algorithm for locating and tracking within indoor environments where multipath and nonline-of-sight propagation conditions predominate. The ranging errors are modeled as a zero-mean random component plus a bias component that is assumed to be a linear function of the range. Through minimizing the mean-square error of the position estimation, an expression for the optimal estimate of the bias parameter is obtained. Both range and pseudo-range-based positioning are considered. Simulations and experimentation are conducted which show that a significant accuracy gain can be achieved for range-based positioning using the enhanced least-squares algorithm. It is also observed that the pseudo-range-based least-squares algorithm is little affected by the choice of the bias parameter. The results demonstrate that the experimental 5.8-GHz ISM band positioning system can achieve positional accuracy of around half a meter when using the proposed algorithm.
Control strategy with variable commutation instants for MPC based on two flying capacitors connected in parallel

In this work we propose a control strategy based on Model Predictive Control (MPC) with variable commutation instants at constant frequency. Two stages are used by association of a reduced cost function and a state machine which selects the optimum state. The strategy is applied to flying capacitor converters connected in parallel, which requires the development of strategies capable to control the external and internal variables of the converter.
Hybrid Semiconductor–Metal Nanoparticles: From Architecture to Function

Hybrid nanoparticles combine two or more disparate materials on the same nanosystem and represent a powerful approach for achieving advanced materials with multiple functionalities stemming from the unusual materials combinations. This review focuses on recent advances in the area of semiconductor–metal hybrid nanoparticles. Synthesis approaches offering high degree of control over the number of components, their compositions, shapes, and interfacial characteristics are discussed, including examples of advanced architectures. Progress in hybrid nanoscale inorganic cage structures prepared by a selective edge growth mechanism of the metal onto the semiconductor nanocrystal is also presented. The combined and often synergistic properties of the hybrid nanoparticles are described with emphasis on optical properties, electronic structure, electrical characteristics, and light induced charge separation effects. Progress toward the application of hybrid nanoparticles in photocatalysis is overviewed. We conclude.
Vision-Based Trajectory Tracking on the 3D Virtual Space for a Quadrotor

In this paper, we propose a vision-based system for real-time 3D trajectory tracking. The vision system is implemented using the KINECT sensor (color and depth cameras). Image processing is performed using freeware and open source software. The image processing recovers the 3D position vector for the centroid of the target to track. We define a target object to track in a 3D space in order to emulate, on a virtual reality environment, a quad rotor which describes the trajectory traced on the 3D scene. A state feedback control scheme for the quad rotor is implemented on Simulink, on which information from the KINECT sensor is supplied as reference signals. The color-based object tracking approach is used. Experimental results validate our proposed method.
An adaptive large neighborhood search heuristic for solving the reliable multiple allocation hub location problem under hub disruptions

Article history: Received April 26 2016 Received in Revised Format August 16 2016 Accepted October 31 2016 Available online November 5 2016 The hub location problem (HLP) is one of the strategic planning problems encountered in different contexts such as supply chain management, passenger and cargo transportation industries, and telecommunications. In this paper, we consider a reliable uncapacitated multiple allocation hub location problem under hub disruptions. It is assumed that every open hub facility can fail during its use and in such a case, the customers originally assigned to that hub, are either reassigned to other operational hubs or they do not receive service in which case a penalty must be paid. The problem is modeled as two-stage stochastic program and a metaheuristic algorithm based on the adaptive large neighborhood search (ALNS) is proposed. Extensive computational experiments based on the CAB and TR data sets are conducted. Results show the high efficiency of the proposed solution method. © 2017 Growing Science Ltd. All rights reserved
Convolutional neural network using multi-scale information for stereo matching cost computation

Computing matching cost by Convolutional neural networks(CNNs) work well in fetching accurate dense disparity maps. But these methods still have problems: (1) they always employ equal weights for left and right images in convolutional layers, losing relational information of patches; (2) they don't solve the balance between patches' size and processing efficiency, the larger size the more information but slower. The proposed multi-scale CNN structured method fetches contexts by employing down-sampled images, this increases the matching accuracy without enlarging the input patch. A multi-scale cross-based aggregation algorithm is proposed to further refine the performances. Proposed method achieves challenging performance against state-of-the-art methods with an error rate of 4.77% in KITTI non-occluded section.
Epicardial calcineurin-NFAT signals through Smad2 to direct coronary smooth muscle cell and arterial wall development.

AIMS Congenital coronary artery anomalies produce serious events that include syncope, arrhythmias, myocardial infarction, or sudden death. Studying the mechanism of coronary development will contribute to the understanding of the disease and help design new diagnostic or therapeutic strategies. Here, we characterized a new calcineurin-NFAT signalling which specifically functions in the epicardium to regulate the development of smooth muscle wall of the coronary arteries. METHODS AND RESULTS Using tissue-specific gene deletion, we found that calcineurin-NFAT signals in the embryonic epicardium to direct coronary smooth muscle cell development. The smooth muscle wall of coronary arteries fails to mature in mice with epicardial deletion of calcineurin B1 (Cnb1), and accordingly these mutant mice develop cardiac dysfunction with reduced exercise capacity. Inhibition of calcineurin at various developmental windows shows that calcineurin-NFAT signals within a narrow time window at embryonic Day 12.5-13.5 to regulate coronary smooth muscle cell development. Within the epicardium, NFAT transcriptionally activates the expression of Smad2, whose gene product is critical for transducing transforming growth factor β (TGFβ)-Alk5 signalling to control coronary development. CONCLUSION Our findings demonstrate new spatiotemporal and molecular actions of calcineurin-NFAT that dictate coronary arterial wall development and a new mechanism by which calcineurin-NFAT integrates with TGFβ signalling during embryonic development.
Investigating Posture and Affect Dynamics at Multiple Levels of Details for Active Safety : A Vision Based Approach

driver posture and extracting semantic information at multiple levels of detail (i.e. whole upper body, hands, head, and facial features), (2) developing a learning framework to study the role of extracted information at each level as well as how to fuse them for better inferring of driver's activities and states, and (3) Applying this framework for interactive driver assistance. Understanding driver states and activities is crucial to both active safety and effective interactions between advanced assistance systems and drivers. Therefore the outcomes of these studies will benefit policy decisions on future preventative safety measures.
Spinal dural arteriovenous fistula

Spinal dural arteriovenous fistulas are a rare and underdiagnosed pathology. Rapid diagnosis and treatment are, however, major determining factors for the outcome of the disease. The spontaneous course of this pathology can result in a substantial degree of morbidity that may be irreversible. Proper interpretation of the MRI imaging, and particularly the medullar angiography, allow for an appropriate level of therapeutic intervention. In our center, surgery is recommended in case of embolization contraindication or failure or in patients with recurrence of the fistula following embolization.
Visual Based Reference for Enhanced Audio-Video Source Extraction

This paper addresses the problem of source extraction in a complex scene where only moving audio sources are present. An algorithm using a unique yet simple method avoiding higher-order statistics has been developed. The principle idea of the algorithm is to use a video camera array for locating a moving source whose position is used to isolate a noise reference, and thus allowing noise subtraction from the mixture based on the widely-known Widrow adaptive filtering method, that only uses second-order statistics. This adaptive approach provides an alternative to traditional methods particularly when there is need for a real time implementation.
Universality in fully developed turbulence.

We extend the numerical simulations of She et al. [Phys. Rev. Lett. 70, 3251 (1993)] of highly turbulent flow with 15 <= Taylor-Reynolds numbers Re lambda <= 200 up to Re lambda [approx equals] 45 000, employing a reduced wave vector set method (introduced earlier) to approximately solve the Navier-Stokes equation. First, also for these extremely high Reynolds numbers Re lambda , the energy spectra as well as the higher moments - when scaled by the spectral intensity at the wave number kp of peak dissipation - can be described by one universal function of k/kp for all Re lambda . Second, the k-space inertial subrange scaling exponents zeta m of this universal function are in agreement with the 1941 Kolmogorov theory (the better, the larger Re lambda is), as is the Re lambda dependence of kp. Only around kp, viscous damping leads to a slight energy pileup in the spectra, as in the experimental data (bottleneck phenomenon).
Communication Screening Profile: Use with Elderly Clients

The history of communication/hearing handicap assessment is summarized. Also, the need for a screening tool to measure communication ability of hard-of-hearing adults is emphasized. Guidelines for the development of such a protocol are suggested and a preliminary screening test battery, the Communication Assessment Profile, is described. Profiles on several elderly clients are presented to illustrate the use of the Communication Assessment Profile.
A New Approach in Agent Path-Finding using State Mark Gradients

Since searching is one of the most important problem-solving methods, especially in Artificial Intelligence where it is often difficult to devise straightforward solutions, it has been given continuous attention by researchers. In this paper a new algorithm for agent path-finding is presented. Our approach is based on environment marking during exploration. We tested the performances of Q-learning and Learning Real-Time A* algorithm for three proposed mazes and then a comparison was made between our algorithm, two variants of Q-learning and LRTA* algorithm.
Cosmic Evolution of Mass Accretion Rate and Metallicity in Active Galactic Nuclei

We present line and continuum measurements for 9818 SDSS type 1 active galactic nuclei (AGNs) with z ≤ 0.75. The data are used to study the four-dimensional space of black hole mass, normalized accretion rate (L/LEdd), metallicity, and redshift. The main results are (1) L/LEdd is smaller for larger mass black holes at all redshifts. (2) For a given black hole mass, L/LEdd ∝ zγ or (1 + z)δ, where the slope γ increases with black hole mass. The mean slope is similar to the star formation rate slope over the same redshift interval. (3) The Fe II/Hβ line ratio is significantly correlated with L/LEdd. It also shows a weaker negative dependence on redshift. Combined with the known dependence of metallicity on accretion rate, we suggest that the Fe II/Hβ line ratio is a metallicity indicator. (4) Given the measured accretion rates, the growth times of most AGNs exceed the age of the universe. This suggests past episodes of faster growth for all those sources. Combined with the Fe II/Hβ result, we conclude that the broad emission line metallicity goes through cycles and is not a monotonously decreasing function of redshift. (5) FWHM([O III] λ5007) is a poor proxy for σ*, especially for high L/LEdd. (6) We define a group of narrow-line type 1 AGNs (NLAGN1s) by their luminosity- (or mass-) dependent Hβ line width. Such objects have L/LEdd ≥ 0.25, and they comprise 8% of the type 1 population. Other interesting results include negative Baldwin relationships for EW(Hβ) and EW(Fe II) and a relative increase of the red part of the Hβ line with luminosity.
Multi Cross Domain Recommendation Using Item Embedding and Canonical Correlation Analysis

In a multi-service environment it is crucial to be able to leverage user behavior from one or more domains to create personalized recommendations in the other domain. In our paper, we present a robust transfer learning approach that successfully captures user behavior across multiple domains. First, we vectorize users and items in each domain independently. Second, using a handful of common users across domain pairs, we project each domain vector space into a common vector space using canonical correlation analysis (CCA). Next, recommendations can be performed by recommending the items in any domains that are closest to the user’s vector in the common space. We also experimented on what kind of domain combination works well.
[Study on effect of berbamine on multidrug resistance leukemia K562/Adr cells].

OBJECTIVE To study the effect and mechanism of berbamine on the apoptosis of multidrug resistant leukemia K562/Adr cells and in reversing the drug resistance. METHODS IC50 value of K562/Adr cell was determined with MTT method, cell apoptosis rate was analyzed by flow cytometry with Annexin V FITC-PI assay, with the peak and cell cycle detected by PI staining. At the same time, flow cytometry was also used in determining Caspase-3, P-GP protein expression and drug accumulating capacity in cells, and RT-PCR method was used to analyze the gene expression of mdr-1. RESULTS Berbamine could inhibit human leukemia K562/Adr cell growth in dose-dependent manner, it could also induce cell apoptosis, increase the protein expression of Caspase-3 and the drug excretion capacity of cells, reduce the mRNA and protein expression levels of mdr-1 gene. CONCLUSION Berbamine could activate Caspase-3 to induce human leukemia K562/Adr cell apoptosis, and by reducing mdr-1 gene expression to reverse its multidrug resistance.
Formal methods for accelerated development of telecommunications software

In this paper we summarize our experience in building new generation formal methods-based CASE tools aimed at practical improvement of software engineering in telecommunication industry. We define an accelerated development methodology for the specification, design, testing and re-engineering of telecommunications software, based on extensive use of formal methods and formal languages for the description of the software very early in the development process and automated re-engineering of formal models from legacy telecommunications software. Our methodology is based on the most widely accepted telecommunication formal languages, standardized by the International Telecommunications Union (ITU): Specification and Description Language (SDL), scenario description language called Message Sequence Charts (MSC), test description language called Tree and Tabular Combined Notation (TTCN), data description language Abstract Syntax Notation (ASN.1). This paper emphasizes the following key components of the methodology: Capture of requirements by use-cases using the MSC language High-yield requirements validation using SDL requirement models Synthesis of SDL requirements models from approved MSC scenarios Seamless refinement of SDL requirement models into design models Adaptable code generation from the SDL models Automatic recovery of SDL models from legacy software
Implementation of point addition & point doubling for Elliptic Curve

This paper describes the verilog implementation of point addition and doubling used in Elliptic Curve Point Multiplication. Based on the theory of Elliptic Curve Cryptography, this paper has carried out modular addition, Elliptic Curve Point doubling and addition, modular squaring and projective to affine coordinates system. Elliptical Curve Cryptography is a public key encryption technique depend on elliptic curve theory. It can be used to make faster, smaller, and more efficient cryptographic keys. ECC generate key through the properties of the elliptic curve equation. Key is designed using scalar point multiplication algorithm, applying digit-serial computation with the help of Galois Field multiplication. For digit serial computations, there are various methods. Out of which target planned is to develop Montgomery ladder Point algorithm using projective coordinate system over Galois Field. The desired objective is to design circuit of multiplier using scalar point multiplication algorithm in GF (2m) for Elliptic Curve Cryptography using Xilinx.
Pattern recognition system based on decision trees and fuzzy logic: Anti-HIV molecules application

Several works structure activity relationship (SAR) of anti-HIV molecules (Human Immunodeficiency Virus) were studied by different statistical methods and non-linear models (neural networks). But few studies have used the heuristic methods. In this work, we are interested to study this relationship by fuzzy logic and decision trees. The resulting model explain SAR with only tow rules described by three of 7 molecular descriptors. This rules generalize the 79 compounds studied. Decision trees show good performance in the learning and prediction phases.
Rigorous Field Theory Design of Compact and Lightweight Broadband Diplexers for Satellite Communication Systems

A new design of compact, lightweight, broad-band and low-insertion-loss diplexers for satellite conununication systems is introduced utilizing E-plane corrugated and below-cutoff waveguide filters in the septate waveguide sections of E-plane furcated power dividers with asymmetrical transformer heights. The rigorous optimization technique comprises the complete component, including all discontinuities as well as the higher order mode interaction between them. Results are given for a computer optimized design exmnple for a minimum input port return loss of about 22 dB over the transmit (3.7 - 4.3 GHz) and receive (5.83 - 6.5 GHz) frequency band. The theory is verified at a R- 48 waveguide diplexer example which was milled from a solid block.
A Novel Game Information Dynamic Model based on Fluid Mechanics: Case Study using Base Ball Data in World Series 2010

We propose a procedure to form information models based on equations of ﬂuid mechanics. A novel game information dynamic model constructed using the procedure is proposed. This model is derived from a series of approximate solutions for ﬂow past a ﬂat plate at zero incidence. The ﬁve Base Ball games in the World Series 2010 are analyzed and the information dynamics is discussed in the light of the present model. It is found that the present model properly accounts for ’one-sided game’ where information gradually approaches to the value of game outcome with increasing the game length near the end. The modelling of information using ﬂuid mechanics equations allows application of well known physical concepts, like velocity, acceleration, momentum, force and energy, to information. We hope that the proposed procedure is general and can be applied to different games and real-world problems.
Critical Requirements Engineering Issues and their Solution

The guidelines for Requirements Management have been documented many times formally but the actual problems faced by the software industry are quite different. Through research it is found that most of the software projects fail before they are completed or if they do reach completion their quality is not up to the mark. The aim of this Research study is to identify the loopholes in the requirements gathering practices and how they are affecting the entire SDLC including and final product. I have also tried to find solutions to these issues on basis of international research. The goal is towards making the requirements gathering practices effective by replacing these issues with respective solutions.
Control channel hopping for avoidance of scrambling attacks in IEEE 802.16 systems

A scrambling attack is a form of intentional physical jamming attack. A scrambling attack attempts to disrupt specific intervals, such as a control channel. In IEEE 802.16 systems such as WiBro and WiMax, the control channel is located at the beginning of a frame, which has a fixed duration and empty intervals of a receive transition gap (RTG) within its duration. Hostile attackers can easily detect the start time of frames and jam the control channel using a scrambling attack due to these features of IEEE 802.16 systems. In this paper, we propose an approach to prevent the disruption of the control channel from this scrambling attack in IEEE 802.16 systems. The control channel, including frame control header (FCH), downlink map (DL-MAP), and uplink map (UL-MAP), is hopped based on a common hopping sequence to a different symbol index in the downlink at each frame. Simulations show that the control channel of the proposed scheme survives against the scrambling attack and an additional random pulse jamming attack in the time domain.