Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of LTE’s Periodic Interference on Heterogeneous Wi-Fi Transmissions

The problem of Wi-Fi and LTE coexistence has been significantly debated in the last years with the emergence of LTE extensions enabling the utilization of unlicensed spectrum for carrier aggregation. Rather than focusing on the problem of resource sharing between the two technologies, in this letter, we study the effects of LTE’s structured transmissions on the Wi-Fi random access protocol. We show how the scheduling of periodic LTE transmissions modifies the behavior of 802.11’s distributed coordination function (DCF), leading to a degradation of Wi-Fi performance, both in terms of channel utilization efficiency and in terms of channel access fairness. We also discuss the applicability and limitations of a persistent DCF model in analyzing Wi-Fi performance under periodic LTE interference.
Object Classification Using Substance Based Neural Network

Object recognition has shown tremendous increase in the field of image analysis. The required set of image objects is identified and retrieved on the basis of object recognition. In this paper, we propose a novel classification technique called substance based image classification (SIC) using a wavelet neural network. The foremost task of SIC is to remove the surrounding regions from an image to reduce the misclassified portion and to effectively reflect the shape of an object. At first, the image to be extracted is performed with SIC system through the segmentation of the image. Next, in order to attain more accurate information, with the extracted set of regions, the wavelet transform is applied for extracting the configured set of features. Finally, using the neural network classifier model, misclassification over the given natural images and further background images are removed from the given natural image using the LSEG segmentation. Moreover, to increase the accuracy of object classification, SIC system involves the removal of the regions in the surrounding image. Performance evaluation reveals that the proposed SIC system reduces the occurrence of misclassification and reflects the exact shape of an object to approximately 10–15%.
Rain Removal By Image Quasi-Sparsity Priors

Rain streaks will inevitably be captured by some outdoor vision systems, which lowers the image visual quality and also interferes various computer vision applications. We present a novel rain removal method in this paper, which consists of two steps, i.e., detection of rain streaks and reconstruction of the rain-removed image. An accurate detection of rain streaks determines the quality of the overall performance. To this end, we first detect rain streaks according to pixel intensities, motivated by the observation that rain streaks often possess higher intensities compared to other neighboring image structures. Some mis-detected locations are then refined through a morphological processing and the principal component analysis (PCA) such that only locations corresponding to real rain streaks are retained. In the second step, we separate image gradients into a background layer and a rain streak layer, thanks to the image quasi-sparsity prior, so that a rain image can be decomposed into a background layer and a rain layer. We validate the effectiveness of our method through quantitative and qualitative evaluations. We show that our method can remove rain (even for some relatively bright rain) from images robustly and outperforms some state-of-the-art rain removal algorithms.
Factors Influencing Consumers' Purchase Decision of Private Label Brand Products

Private label brand products have increasingly becoming popular since consumers’ loyalty toward store is higher than their loyalty to brands. Consumers also perceived private label brand products as value purchase and the quality level of these products have improved. Hence, this study investigates the factors influencing the purchase of store brand products in Malaysia. The factors include; perceived quality, perceived price, brand image, and promotion. All four factors have shown positive relationship with purchase decision among the respondents. Brand image is found to have the strongest correlation while promotion depicted weakest link with purchase decision. Socio-economic variables are also included in this study. In the findings, household income shows significant differences in the price perception towards TESCO store brand products. In addition, level of education is significantly difference towards the perceived quality of store brand products. Several implications could be derived from the study. TESCO should improve the quality of its store brand products and reposition itself as a retailer that also promotes quality products. The store could improve the perceived price of its private brands by increasing the benefits of the products to enhance consumers’ value.
Impact of Social Media Posts in Real life Violence: A Case Study in Bangladesh

Social Networking Site (SNS) is a great innovation of modern times. Facebook, Twitter etc. have become an everyday part of peoples' life. Among all SNSs, Facebook is the most popular social network all over the world. Bangladesh is no exception. People of Bangladesh use Facebook for social communication, online shopping, business, knowledge and experience sharing etc. As well as the various uses of SNSs, people sometimes find themselves involved in real life violence, provoked by some social media posts or activities. In this paper, we discussed some case studies in which real life violence is originated based on Facebook activities in Bangladesh. Facebook was used in these incidents intentionally or unintentionally mostly as a tool to trigger hatred and violence. We analyzed and discussed the real-world consequences of these virtual activities in social media. Lastly, we recommended possible future measurements to prevent such violence.
DSP for RFID

A synthesized hardware circuit is being developed, using embedded software in a Digital Signal Processing (DSP) Chip. This design recovers the minute signals, which are subject to interference from a passive H-field Radio Frequency Identification (RFID) device. This design increases the range of detection, while reducing the read time and false readings.
Iedereen spreekt hier Frans

Dit samenvattende rapport beschrijft de onderzoeken naar spreekvaardigheid en de ontwikkeling van schrijfvaardigheid in het Frans van brugklasleerlingen. Er zijn twee groepen leerlingen met elkaar vergeleken; leerlingen die via de AIM-methode les kregen en leerlingen die via Carte Orange les kregen. Hier kunt u het samenvattende rapport en de samenvatting downloaden. Meer informatie? Via de link onderaan deze pagina kunt u ook de volledige (Engelstalige) scriptie naar schrijfontwikkeling vinden. Daarnaast zijn er links naar vervolgsonderzoek: Een Franstalige scriptie (met Nederlandse samenvatting) over de effecten voor de schrijfontwikkeling van dyslectische leerlingen. En een scriptie die de mondelinge taalontwikkeling over twee jaar beschrijft. Ook is op de website is meer informatie te vinden over de tot standkoming van het onderzoek en de resultaten.
Study on application of advanced J2EE in stocks exchange

Along with Java technology progress, the superiority of J2EE 5.0 is gradually appearing. Furthermore the invest of stocks is increasingly hot, so the paper tries to design and implement the system of stocks invest supervision by recent EJB3.0 under Hibernate and Struts conditions based on newly J2EE 5.0. The paper explores the implementation of EJB persistence of data. The system is tested by several times, it runs effectively. In the mealtime, the paper discusses on the new basic functionality of JDK5.0 and J2EE 5 SDK features.
Piloter la relation client dans I'e-commerce: quels leviers et quelles incidences sur les comportements d'achat ?

La fidélisation des clients est devenue un objectif majeur pour les e-commerçants. Croisant des données attitudinales et comportementales sur deux sites marchands (N = 1796), cette recherche (1) identifie puis mesure huit leviers relationnels (design, choix, contact, vie privée, customisation, respect des engagements, interactivité et communauté), (2) souligne leurs impacts différenciés sur les deux facettes clés de la confiance (crédibilité et bienveillance perçue du site marchand), et (3) montre le rôle médiateur total de l'engagement dans la relation entre les leviers relationnels et les comportements d'achat réels des clients.
Darwin's Watch

Roundworld is in trouble again, and this time it looks fatal. Having created it in the first place, the wizards of Unseen Univeristy feel vaguely responsible for its safety. They know the creatures who lived there escaped the impending Big Freeze by inventing the space elevator - they even intervened to rid the planet of a plague of elves, who attempted to divert humanity onto a different time track. But now it's all gone wrong - Victorian England has stagnated and the pace of progress would embarrass a limping snail. Unless something drastic is done, there won't be time for anyone to invent spaceflight and the human race will be turned into ice-pops. Why, though, did history come adrift? Was it Sir Arthur Nightingale's dismal book about natural selection? Or was it the devastating response by an obscure country vicar called Charles Darwin, whose bestselling Theology of Species made it impossible to refute the divine design of living creatures? Either way, it's no easy task to change history, as the wizards discover to their cost. Can the God of Evolution come to humanity's aid and ensure Darwin writes a very different book? And who stopped him writing it in the first place?
Planung von Geschwindigkeitsprofilen fuer automatisch gefuehrte Fahrzeuge

Nach Berechnungen von US Behoerden sind 97 Prozent aller Unfaelle auf Fehlverhalten seitens des Fahrers zurueckzufuehren. Angesichts dieser Tatsache lag in den letzten Jahren einer der wesentlichen Schwerpunkte der Forschungsaktivitaeten der Automobilindustrie in der Entwicklung neuer Fahrerassistenzsysteme. Diese Technologien weisen den Fahrer auf potenzielle Gefahren hin und unterstuetzen ihn bei der Entscheidung hinsichtlich des aktuellen Fahrverhaltens in gefaehrlichen Situationen. In der vorliegenden Arbeit wird ein neuartiges Verfahren vorgestellt, welches vorausschauend Informationen ueber den vor dem Fahrzeug zu erwartenden Fahrbahnverlauf in Echtzeit bereitstellt. Basierend auf diesen Daten wird vom Fahrerassistenzsystem eine Prognose ueber die auf das Fahrzeug wirkende Kraft erstellt und anschliessend eine geeignete Geschwindigkeitsstrategie vorgeschlagen, die ein sicheres Durchfahren der Kurve zu jedem Zeitpunkt gewaehrleistet. (A)
Therapieziele und Indikation zur medikamentösen Therapie bei arterieller Hypertonie: Update 2015 der Empfehlungen der Österreichischen Gesellschaft für Hypertensiologie

Blood Pressure Threshold and Indication for Initiation of Pharmacologic Drug Treatment of Arterial Hypertension: Update 2015 of the Recommendations of the Austrian Society of Hypertension. Epidemiologic studies indicate that the risk of cardiovascular events associated with high blood pressure increases in a loglinear fashion with blood pressure levels > 120/80 mmHg. The indication for initiation of pharmacologic treatment of arterial hypertension is determined by blood pressure levels and total cardiovascular risk. Individual risk factors, subclinical organ damage, target organ damage, and concomitant diseases are major determinants of total cardiovascular risk. In general, the threshold for initiating pharmacologic treatment for high blood pressure is > 120/90 mmHg in order to achieve a maximum reduction of cardiovascular morbidity and mortality. To reach this goal, additional treatment of cardiovascular risk factors beyond high blood pressure and treatment of accompanying cardiac, vascular, and renal disorders is required. Beneficial effects of pharmacologic treatment of blood pressure in the high-normal range (systolic blood pressure 130–139 mmHg) are not proven. Nonpharmacologic treatment of high blood pressure should be recommended if one or more cardiovascular risk factors are associated with hypertension. Lifestyle changes are indicated in order to reduce elevated blood pressure or to prevent further increase in blood pressure levels. Individuals with blood pressure in the high-normal range should assess blood pressure regularly in order to recognize the threshold that indicates initiation of drug treatment. Current guidelines largely refer to office blood pressure measurements. However, considering the variability of blood pressure, diagnosis of high blood pressure should be confirmed by ambulatory blood pressure measurement before pharmacologic drug treatment is initiated. J Hyperton 2015; 19 (1): 9–13.
Antifreeze in the hot core of Orion - First detection of ethylene glycol in Orion-KL

Context. Ices are present in comets and in the mantles of interstellar grains. Their chemical composition has been indirectly derived by observing molecules released in the gas phase, when comets approach the sun and when ice mantles are sublimated or destroyed, e.g. in the hot cores present in high-mass, star-forming regions. Comparison of these chemical compositions sheds light on the formation of comets and on the evolution of interstellar matter from the molecular cloud to a protoplanetary disk, and it shows, to first order, a good agreement between the cometary and interstellar abundances. However, a complex O-bearing organic molecule, ethylene glycol (CH2OH)2, seems to depart from this correlation because it was not easily detected in the interstellar medium (Sgr B2) although it proved to be rather abundant with respect to other O-bearing species in comet C/1995 O1 (Hale-Bopp). Ethylene glycol thus appears, together with the closely related molecules glycolaldehyde CH2OHCHO and ethanol CH3CH2OH, as a key species in the comparison of interstellar and cometary ices as well as in any discussion on the formation of cometary matter. Aims. It is important to measure the molecular abundances in various hot cores to see if the observed differences between the interstellar medium and the comets are general. We focus here on the analysis of ethylene glycol in the nearest and best studied hot core-like region, Orion-KL. Methods. We use ALMA interferometric data because high spatial resolution observations allow us to reduce the line confusion problem with respect to single-dish observations since different molecules are expected to exhibit different spatial distributions. Furthermore, a large spectral bandwidth is needed because many individual transitions are required to securely detect large organic molecules. Confusion and continuum subtraction are major issues and have been handled with care.
A unified approach to statistical design centering of integrated circuits with correlated parameters

This paper presents a general method for statistical design centering of integrated circuits with correlated parameters. It unifies worst-case design, nominal design and tolerance design in a single framework by selecting appropriate norms to measure the distances from the nominal values. The method uses an advanced first-order second moment technique as an alternative to the simplicial algorithm. Yield estimation is calculated in the original space and no transformation to uncorrelated variables is required. The solution algorithms are based on the recently developed interior-point methods for semi-definite programming. One tutorial and one practical example explain the application.
Nanofiber Filaments Fabricated by a Liquid-Bath Electrospinning Method

In order to investigate the forming process of multi-needle liquid-bath electrospun nanofiber filaments, nanofiber filaments were prepared using the multi-needle liquid-bath electrospinning method in this chapter. The effect of auxiliary electrode on jet state, and bundling and drawing processes of nanofibers were studied. The results show that the forming process of nanofiber filaments was mainly influenced by electrostatic field interference, bundling process, and drawing process, including two processes: forming process of as-spun nanofiber filaments and post-drawing process. In the forming process of as-spun nanofiber filaments, when the auxiliary electrode was added, the electrostatic field interference between needles reduced, inducing the decrease of jet offsets and the enhancement of Taylor cone and jet stability, and nanofibers with skin-core structure were finally deposited on the bath in good condition. The bundling process of nanofiber fila- ment was divided into three processes: wet process, wet-dry process, and dry process; the structure transformation of nanofiber filaments mainly occurred in the wet process. In the post-drawing process, the crystallinity and alignment degree of nanofibers increased, and nanofiber diameter decreased. The initial modulus and breaking stress of filaments increased while the breaking strain of filaments decreased. Finally, nanofiber filaments were produced with better structures and properties.
On Consistency of Compressive Spectral Clustering On Consistency of Compressive Spectral Clustering

Spectral clustering is one of the most popular methods for community detection in graphs. A key step in spectral clustering algorithms is the eigen decomposition of the n×n graph Laplacian matrix to extract its k leading eigenvectors, where k is the desired number of clusters among n objects. This is prohibitively complex to implement for very large datasets. However, it has recently been shown that it is possible to bypass the eigen decomposition by computing an approximate spectral embedding through graph filtering of random signals. In this paper, we analyze the working of spectral clustering performed via graph filtering on the stochastic block model. Specifically, we characterize the effects of sparsity, dimensionality and filter approximation error on the consistency of the algorithm in recovering planted clusters.
Lowering the threshold to libraries with social media

Purpose – Digital literacy has become one of the key competences to ensure social cohesion, active citizenship and personal fulfilment. The objective of the project Digital Literacy 2.0 is therefore to develop and to implement an ICT‐based approach to lifelong learning addressing especially disadvantaged groups and vulnerable social groups of people with special needs. Since educational disadvantage is closely linked to social exclusion and poverty, there is a need to empower the really “hard to reach” learning distant groups and to enable them to make use of ICT. This paper seeks to address these issues.Design/methodology/approach – The project partners are piloting a two‐step approach to attract learning distant groups by offering an attractive starting point to information and social bonding: staffs at non‐formal learning places like libraries will be trained for the use of ICT in their daily work with hard‐to‐reach target groups; they will gain competences in how to motivate socially disadvantaged cli.
Investigation of the thermal stress field in a multilevel aluminium metallization in VLSI systems using finite element modelling approach

The impact of a titanium barrier layer on the residual thermal stress in passivated multilevel aluminium metallization structure (Al lines and connecting via) is investigated using an advanced finite element approach. It is confirmed that the titanium, when is presented in the structure, can significantly improve the reliability of the Al metallization.
The Lagrange complex

RESUME. — Nous definissons Ie complexe de co-chaines (A, §), et nous prouvons Ie lemme de Poincare pour Foperateur 8. L'operateur § est utilise dans Ie calcul des variations en vue de deduire les equations d'Euler-Lagrange. Le lemme de Poincare fournit alors le critere suivant lequel un systeme d'equations est un systeme d'Euler-Lagrange. ABSTRACT. — A cochain complex (A, §) is defined, and the 5-Poincare lemma is proved. The work is motivated by applications to the calculus of variations. The operator § is used in the calculus of variations to construct the Euler-Lagrange equations, and the 5-Poincare lemma provides criteria for partial differential equations to be Euler-Lagrange equations.
La figure de l'entrepreneur fondateur dans le récit de marque et la construction de la personnalité de la marque de luxe

Centree sur l'analyse des recits que font de leur histoire, sur leur site Internet, les marques du Comite Colbert (comite regroupant soixante-quinze marques de luxe francaises de rayonnement international), et articulee autour de la figure de l'entrepreneur fondateur de la marque, notre recherche recense les structures privilegiees par les marques de luxe dans la narration de leur fondation. Elle souligne egalement l'interet du recours au schema actanciel de Greimas dans l'elaboration de recits de marque, avec pour enjeu la construction de la personnalite de la marque, la figure particuliere de l'entrepreneur fondateur permettant la mise en scene de traits de personnalite humains susceptibles d'etre directement attribues a la marque par metonymie.
Numerical Adaptation of Pipeline Network Models on Measurement Archive

We propose an adaptation method for gas dynamic pipeline network models to enable credible representation of actual properties of real simulation objects. The presentation is illustrated by fitting equivalent pipeline section roughnesses used in the models to accommodate the influence of flow resistance on gas transport parameters. The method is based on the setting up and solution of a series of special parametric identification problems based on a limited set of field measurement data at local (in space) network points. This method can be used by specialists in mathematical modeling of gas transport systems to solve practical parametric identification problems.
Stress and sleep quality estimation with the use of smart Wearable sensors

The stress and poor sleep quality of a person may be used as two of several components for predicting the onset of mental health problems, in particular depression. Continuous stress monitoring may help users better understand their stress patterns and provide physicians with more reliable data for interventions. Previously, studies on mental stress detection were limited to a laboratory environment where participants generally rested in a sedentary position. However, it is impractical to exclude the effects of physical activity while developing a pervasive stress monitoring application for everyday use. The physiological responses caused by mental stress can be masked by variations due to physical activity.We present an activity-aware mental stress detection scheme. Electrocardiogram (ECG), galvanic skin response (GSR), and accelerometer data were gathered from 20 participants across three activities: sitting, standing, and walking. For each activity, we gathered baseline physiological measurements and measurements while users were subjected to mental stressors. The activity information derived from the accelerometer enabled us to achieve 92.4% accuracy of mental stress classification for 10-fold cross validation and 80.9% accuracy for between-subjects classification.Ergonomic smart sensors that can determine the heart rate variations related to stress and the variability of sleep may provide unique insights to the coping behavior of stressed people. Rather than relying on wearable computers, a single smart miniature sensor that is worn 24/7 should perform the complex embedded recognition tasks while meeting difficult battery life, wireless communications and ergonomic constraints. The development and testing of such a smart sensor is described focusing on implementation within distributed intelligence based architecture. The manner in which the user’s heart rate and the user’s physical motion is used to measure stress and sleep quality is explained.