Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy-aware relocation of the BS in Wireless Sensor Network

Lifetime is a relevant issue of a successful Wireless Sensor Network deployment, due to the fact that nodes in WSN have limited resources such as energy, computation capacity, memory size, and antenna coverage. But energy is the most important among them, because all these resources depend on energy. To reduce energy consumption some approaches propose solutions based on link layer and/or network layer, while others try to work in collaborative fashion using clustering techniques and gathering data before the transmission. In this paper we present a new approach for scheduling the mobility of the Base Station, based on a new metric that evaluate the residual energy in the network as whole, and hence assuring a distributed energy consumption and improving the lifetime by avoiding energy shortage in nodes near to the Base Station.
Optimal Gabor kernel location selection for face recognition

In local feature-based face recognition systems, the topographical locations of feature extractors directly affect the discriminative power of a recognizer. Better recognition accuracy can be achieved by the determination of the positions of salient image locations. Most of the facial feature selection algorithms in the literature work with two assumptions: one, that the importance of each feature is independent of the other features, and two, that the kernels should be located at fiducial points. Under these assumption, one can only get a sub-optimal solution. In this paper, we present a methodology that tries to overcome this problem by relaxing the two assumptions using a formalism of subset selection problem. We use a number of feature selection algorithms and a genetic algorithm. Comparative results on the FERET dataset confirm the viability of our approach.
Architecture-Centric Software Migration for the Evolution of Web-based Systems

This paper presents architecture-centric software migration, an approach which has been used to improve web systems in two projects. Its goal is to increase the potential for evolution by conversion of a web-based system into one that is implemented in a different programming language. In order to reduce the risks and the complexity of the process, it is an agile and evolutionary approach in which only small parts of the web-based information system are changed at once. Thus, while being migrated, the web system can undergo regular further development. In addition to a detailed description of the approach, two migration strategies are introduced and discussed.
Spatially coupled ensembles universally achieve capacity under belief propagation

We investigate spatially coupled code ensembles. For transmission over the binary erasure channel, it was recently shown that spatial coupling increases the belief propagation threshold of the ensemble to essentially the maximum a-priori threshold of the underlying component ensemble. This explains why convolutional LDPC ensembles, originally introduced by Felström and Zigangirov, perform so well over this channel. We show that the equivalent result holds true for transmission over general binary-input memoryless output-symmetric channels. More precisely, given a desired error probability and a gap to capacity, we can construct a spatially coupled ensemble which fulfills these constraints universally on this class of channels under belief propagation decoding. In fact, most codes in that ensemble have that property. The quantifier universal refers to the single ensemble/code which is good for all channels if we assume that the channel is known at the receiver. The key technical result is a proof that under belief propagation decoding spatially coupled ensembles achieve essentially the area threshold of the underlying uncoupled ensemble. We conclude by discussing some interesting open problems.
The quantum supersymmetric vector multiplet and some problems in non‐Abelian supergauge theory

We consider the supersymmetric vector multiplet in a purely quantum framework. We obtain some discrepancies with respect to the literature in the expression of the super‐propagator and we prove that the model is consistent only for positive mass. The gauge structure is constructed purely deductive and leads to the introduction of scalar ghost superfields, in analogy to the usual gauge theories. The construction of a consistent supersymmetric gauge theory based on the vector model depends crucially on the definition of gauge invariance. We find some significant difficulties to impose a supersymmetric gauge invariance condition for the usual expressions from the literature.
Indoor channel modeling at 60 GHz for wireless LAN applications

This paper reports narrowband and wideband results derived by propagation modeling at 60 GHz for indoor WLAN applications. A multi-ray model is proposed and verified through a simulation process. The propagation in the site-specific environment can be described using 4-5 rays without reducing the accuracy of the results. RMS delay spread varies with distance from 0.57 ns up to 2.32 ns Coherence bandwidth for 0.9 correlation was found at 65 MHz, 116 MHz and 87 MHz for isotropic, omni-omni and horn-horn antenna configurations respectively.
Learning, Generation and Recognition of Motions by Reference-Point-Dependent Probabilistic Models

This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using reference-point-dependent probabilistic models, which can be used for the generation and recognition of motions. The method estimates (i) the reference point, (ii) the intrinsic coordinate system type, which is the type of coordinate system intrinsic to a motion, and (iii) the probabilistic model parameters of the motion that is considered in the intrinsic coordinate system. Motion trajectories are modeled by a hidden Markov model (HMM), and an HMM-based method using static and dynamic features is used for trajectory generation. The method was evaluated in physical experiments in terms of motion generation and recognition. In the experiments, users demonstrated the manipulation of puppets and toys so that the motions could be learned. A recognition accuracy of 90% was obtained for a test set of motions performed by three subjects. Furthermore, the results showed that appropriate motions were generated even if the object placement was changed.
A parameterization of low visibilities for hazy days in the North China Plain

Abstract. Visibility degradation is a pervasive and urgent environmental problem in China. The occurrence of low visibility events is frequent in the North China Plain, where the aerosol loading is quite high and aerosols are strongly hygroscopic. A parameterization of light extinction (Kex) for low visibilities on hazy days is proposed in this paper, based on visibility, relative humidity (RH), aerosol hygroscopic growth factors and particle number size distributions measured during the Haze in China (HaChi) Project. Observational results show that a high aerosol volume concentration is responsible for low visibility at RH 90%, decrease of visibility is mainly influenced by the increase of RH. The parameterization of Kex is developed on the basis of aerosol volume concentrations and RH, taking into accounts the sensitivity of visibility to the two factors and the availability of corresponding data. The extinction coefficients calculated with the parameterization schemes agree well with the directly measured values.
Convergence Analysis of Iterative Solvers in Inexact Rayleigh Quotient Iteration

We present a detailed convergence analysis of preconditioned MINRES for approximately solving the linear systems that arise when Rayleigh quotient iteration is used to compute the lowest eigenpair of a symmetric positive definite matrix. We provide insight into the initial stagnation of MINRES iteration in both a qualitative and quantitative way and show that the convergence of MINRES mainly depends on how quickly the unique negative eigenvalue of the preconditioned shifted coefficient matrix is approximated by its corresponding harmonic Ritz value. By exploring when the negative Ritz value appears in MINRES iteration, we obtain a better understanding of the limitation of preconditioned MINRES in this context and the virtue of a new type of preconditioner with “tuning. ” A comparison of MINRES with SYMMLQ in this context is also given. Finally, we show that tuning based on a rank-2 modification can be applied with little additional cost to guarantee positive definiteness of the tuned preconditioner.
Difference between Spatial Distributions of the Hα Kernels and Hard X-Ray Sources in a Solar Flare

We present the relation of the spatial distribution of Hα kernels with the distribution of hard X-ray (HXR) sources seen during the 2001 April 10 solar flare. This flare was observed in Hα with the Sartorius telescope at Kwasan Observatory, Kyoto University, and in HXRs with the hard X-ray telescope (HXT) on board Yohkoh. We compared the spatial distribution of the HXR sources with that of the Hα kernels. While many Hα kernels are found to brighten successively during the evolution of the flare ribbons, only a few radiation sources are seen in the HXR images. We measured the photospheric magnetic field strengths at each radiation source in the Hα images and found that the Hα kernels accompanied by HXR radiation have magnetic strengths about 3 times larger than those without HXR radiation. We also estimated the energy release rates based on the magnetic reconnection model. The release rates at the Hα kernels with accompanying HXR sources are 16-27 times larger than those without HXR sources. These values are sufficiently larger than the dynamic range of HXT, which is about 10, so that the difference between the spatial distributions of the Hα kernels and the HXR sources can be explained.
Assesing the Accuracy of Translation Result of Kataku Version 1.1 and Transtool 10 from English to Indonesian and Its Implication on Language Teaching

This journal is aimed at investigating the accuracy of Kataku Version 1.1 and Transtool10 Rar and knowing its benefit for teaching writing. This is important because Computer Assisted Translation (CAT) has become a need and practical translation tool as a software to translate source language text (SL) into the target language (TL). The number of users of both devices requires a proof of whether both tools are qualified enough to translate from SL to TL. This study used descriptive qualitative methods with data collection techniques using documents, interviews and questionnaires. While the data analysis technique used component analysis consisting of four parts, that is, domain, taxonomy, component and cultural theme analysis using “criteria based sampling” 1 to 3, that is, accurate (3), less accurate (2) and not accurate (1). The results showed the quality of the " Kataku Version 1.1”was 24% accurate, 32% less accurate, and 45% inaccurate, while " Transtool. 10 Rar" was 33% accurate, 32% less accurate, and 35% inaccurate. Of the two CATs above, Transtool10 RAR has a higher level of accuracy than Kataku Version 1.1. In terms of error, the most common mistakes made by both were sequentially at semantic level, syntax, phrase, word order, lexical, lost in contact, and word content. However, from the error rate made by the two translation tools, Transtools 10 Rar got less error than the Kataku Version 1.1 . In the case of teaching language, using these two software in translation was still very advantageous, especially for teaching writing and reading. By knowing the quality results of translation from one language to another, the students got much improvement by analyzing errors of vocabulary usages, grammar, the messages of the texts and writing products because as known that translator was the writer too. However, there was still a little obstacles using both software especially if the users saw the results of translation only as the collection of words which were isolated and independent. Its effects led to the misuses of the words either it is used in collocation or in terms of different genre of the texts. Thus it can be concluded that the two tools are not feasible to be used to translate various texts without involving professional translation experts by using appropriate proofreading and editing. In addition, for teaching language, both software are still effective and good for future applied language teaching and learning.
New Approach to Financial Integration : Importance of Size

With the birth of the EMU it was expected the integration of financial markets. However, the singularity and of each market impede the prompt effectiveness of this process. Market size assumes a decisive and innovative role in the analysis of financial integration as the catalyser of each market’s uniqueness. We find that EMU capital market reveal a tendency to integration, although not in a definite way.
A simple adaptive filter method for cancelltaion of coupling wave in OFDM signals at SFN relay station

In recent years digital terrestrial broadcasting systems have been developed where OFDM signals are used for data transmission with single frequency network (SFN). But in a SFN relay station the effect of the coupling wave from the transmitter to the receiving antenna is significant and needs to be cancelled. In this paper a simple adaptive filter method is applied to this problem. The stationary point of the conventional LMS algorithm is first derived and its local stability is examined by using the averaging method. It is found that this algorithm has a bias. Then a modified algorithm is proposed to remove this bias. Simulation results show the validity of the theoretical findings.
Efficient prediction of software fault proneness modules using support vector machines and probabilistic neural networks

A software fault is a defect that causes software failure in an executable product. Fault prediction models usually aim to predict either the probability or the density of faults that the code units contain. Many fault prediction models using software metrics have been proposed in the Software Engineering literature. This study focuses on evaluating high-performance fault predictors based on support vector machines (SVMs) and probabilistic neural networks (PNNs). Five public NASA datasets from the PROMISE repository are used to make these predictive models repeatable, refutable, and verifiable. According to the obtained results, the probabilistic neural networks generally provide the best prediction performance for most of the datasets in terms of the accuracy rate.
Enki: A Pedagogical Services Aggregator for Learning Programming Languages

This paper presents Enki, a web-based IDE that integrates several pedagogical tools designed to engage students in learning programming languages. Enki achieves this goal (1) by sequencing educational resources, either expository or evaluative, (2) by using gamification services to entice students to solve activities, (3) by promoting social interaction and (4) by helping students with activities, providing feedback on submitted solutions. The paper describes Enki, its concept and architecture, details its design and implementation, and covers also its validation.
Synthesis and Characterization of Chitosan-Coated Near-Infrared (NIR) Layered Double Hydroxide-Indocyanine Green Nanocomposites for Potential Applications in Photodynamic Therapy

We designed a study for photodynamic therapy (PDT) using chitosan coated Mg–Al layered double hydroxide (LDH) nanoparticles as the delivery system. A Food and Drug Administration (FDA) approved near-infrared (NIR) fluorescent dye, indocyanine green (ICG) with photoactive properties was intercalated into amine modified LDH interlayers by ion-exchange. The efficient positively charged polymer (chitosan (CS)) coating was achieved by the cross linkage using surface amine groups modified on the LDH nanoparticle surface with glutaraldehyde as a spacer. The unique hybridization of organic-inorganic nanocomposites rendered more effective and successful photodynamic therapy due to the photosensitizer stabilization in the interlayer of LDH, which prevents the leaching and metabolization of the photosensitizer in the physiological conditions. The results indicated that the polymer coating and the number of polymer coats have a significant impact on the photo-toxicity of the nano-composites. The double layer chitosan coated LDH–NH2–ICG nanoparticles exhibited enhanced photo therapeutic effect compared with uncoated LDH–NH2–ICG and single layer chitosan-coated LDH–NH2–ICG due to the enhanced protection to photosensitizers against photo and thermal degradations. This new class of organic-inorganic hybrid nanocomposites can potentially serve as a platform for future non-invasive cancer diagnosis and therapy.
Classification of visual hand movements using multiresolution wavelet images

This paper presents a novel technique for classifying human hand gestures based on stationary wavelet transform (SWT). It uses view-based approach for representation of hand actions, and artificial neural networks (ANN) for classification. This approach uses a cumulative image-difference technique where the time between the sequences of images is implicitly captured in the representation of action. This results in the construction of motion history images (MHI). These MHI's are decomposed into 4 sub images using SWT, approximate and detailed images. The approximate image is fed as the global image descriptors to the ANN for classification. The recognition criterion is established using backpropagation based multilayer perceptron (MLP). The preliminary experiments show that such a system can classify human hand gestures with a classification accuracy of97%.
RecQ-core of BLM unfolds telomeric G-quadruplex in the absence of ATP

Various helicases and single-stranded DNA (ssDNA) binding proteins are known to destabilize G-quadruplex (GQ) structures, which otherwise result in genomic instability. Bulk biochemical studies have shown that Bloom helicase (BLM) unfolds both intermolecular and intramolecular GQ in the presence of ATP. Using single molecule FRET, we show that binding of RecQ-core of BLM (will be referred to as BLM) to ssDNA in the vicinity of an intramolecular GQ leads to destabilization and unfolding of the GQ in the absence of ATP. We show that the efficiency of BLM-mediated GQ unfolding correlates with the binding stability of BLM to ssDNA overhang, as modulated by the nucleotide state, ionic conditions, overhang length and overhang directionality. In particular, we observed enhanced GQ unfolding by BLM in the presence of non-hydrolysable ATP analogs, which has implications for the underlying mechanism. We also show that increasing GQ stability, via shorter loops or higher ionic strength, reduces BLM-mediated GQ unfolding. Finally, we show that while WRN has similar activity as BLM, RecQ and RECQ5 helicases do not unfold GQ in the absence of ATP at physiological ionic strength. In summary, our study points to a novel and potentially very common mechanism of GQ destabilization mediated by proteins binding to the vicinity of these structures.
MMSE hybrid precoder design for millimeter-wave massive MIMO systems

This paper studies hybrid RF/baseband linear pre-coding design to minimize the mean square error (MSE) for millimeter-wave massive multiple-input multiple-output (MIMO) systems using optimal linear equalizer. Instead of dealing with the objective function of sum MSE, which involves matrix inverses, we approach this problem by minimizing the Euclidean distance between the hybrid precoder and the optimal minimum MSE precoder. In an effort to impose the optimal structure of channel diagonalization, we separate the design of modulus-constrained RF precoder from the design of unconstrained baseband pre-coder. Magnitude-least-squares approximation is introduced to formulate the RF precoder design problem, and is subsequently transformed into a simultaneous matrix diagonalization problem. Such transformation enables application of a simple and numerically stable Jacobi-like algorithm. The effective channel representing a cascade of the derived RF precoder and the MIMO channel, is diagonalized by the baseband precoder. The error performance of the proposed solution is examined by numerical results where the effectiveness is verified by its closeness to the optimal design and its noticeable gain over sparse approximation based schemes.
Signaling oriented denial of service on LTE networks

Long Term Evolution (LTE) is seen as the key enabler for delivering the fourth generation of mobile broadband and is the first cellular network primarily designed based on IP. Thus, telecom operators must support the diverse IP-based mobile applications and all the overhead associated with such applications which is mainly in the a result of the increased signaling traffic. By taking advantage of the signaling overhead, a malicious user can cause severe overload on the operator's infrastructure denying legitimate users from accessing the network. This work presents a study of a denial of service (DoS) oriented signaling attack against LTE networks that takes advantage of the signaling overhead required to set up dedicated radio bearers. The attack scenario is simulated in OPNET, and the signaling traces are analyzed. Results show that a well-coordinated attack creates significant stress on the operator's resources and inhibits legitimate subscribers from obtaining proper services. Then, a detection mechanism that can be used to thwart such attacks is proposed.
Adaptive MIMO-OFDM for Future Mobile Radio Communications

This paper addresses the topic of bit and power loading in coded MIMO-OFDM systems. Due to the need of designing communication systems with high spectral efficiencies, the combination of multiple antennas at transmitter and receiver with OFDM represents a promising approach. Moreover, channel knowledge at the transmitter can be exploited to adapt the transmission to the channel. While loading strategies for the uncoded case as well as the information theoretical solution are already known, the optimum scheme is still unknown for coded systems. In this paper, we compare different loading approaches for coded systems with respect to their error rate performance.
An efficient mobile robot path planning using hierarchical roadmap representation in indoor environment

This paper describes a practical approach to solve a path planning problem in a home environment. The proposed approach incrementally constructs the hierarchical roadmap which has a multi-layered structure using a sonar grid map when a mobile robot navigates in unexplored area. The hierarchical roadmap can almost completely cover the traversable areas in the environment. The mobile robot path planner using the hierarchical roadmap can efficiently search for appropriate paths under the limited computing power and time by reducing the search space size. The benefits of the hierarchical roadmap representation were verified by experiments in a home environment.