Miracle-dz/UniFAR-FTUs huggingface dataset:
Secure Multi keyword Retrieval over Encrypted Cloud Data

Now a day, Data owner incentivizes to outsource their data on the cloud to get more flexibility. Cloud computing provides data outsourcing and high quality accommodation. For data security, the data owner provides encryption on their data. The data owners outsource their data on the cloud through which they reduces a cost and computational overhead quandaries. Considering the sizably voluminous number of data users and documents in the cloud, it is obligatory to sanction multiple keywords in the search request and return documents in the order of their suggestion to these keywords. Cognate works on searchable encryption fixate on single keyword search or Boolean keyword search, and virtually not ever sort the look for results. In subsisting system, for the first instance, the conundrum of privacypreserving multi-keyword ranked search over encrypted data in cloud computing (MRSE) is define and solve. A set of several privacy desiderata for such a bulwarked cloud data utilization system are defined by proposed work. The server side ranking is according to the order preserving encryption (OPE) ineluctably leaks data privacy. Leakage quandary is solved by utilizing two round searchable encryption scheme and it withal fortifies to top-k multi keyword retrieval. In two rounds searchable encryption scheme involves vector space model and Homomorphic encryption. These propose work results are eliminating the data leakage and data security issues. Keywords— Cloud, ranking, cloud computing, privacy preservation, data privacy, vector space model, Homomorphic
A Meta-Model for Restructuring Stakeholder Requirements

Requirements engineering necessitates the analysis of relationships among the requirements of system stakeholders. Poor analysis of these relationships has led to numerous failures. To improve such analysis, researchers have created models and methods for recording, analyzing, and modifying stakeholder requirements. However, the critical aspect of representing and reasoning about stakeholder interactions remains relatively implicit. Herein, we explicitly define: (1) a meta-model for capturing stakeholder requirements, and (2) methods for restructuring requirements. To validate the utility of our approach, we have applied it to the analysis of a distributed meeting scheduler. We conclude that the model and its automated methods do provide substantial support for analysis of stakeholder requirements interactions.1
Metamaterial superstrate for performance enhancement of microstrip patch antenna array

A metamaterial superstrate loaded microstrip patch antenna array has been proposed in this paper. The unloaded array resonates at 5.8 GHz with gain of 4.3 dBi and bandwidth of 425 MHz whereas, when the array is loaded with a metamaterial superstrate, composed of Multiple Split Ring Resonators (MSRR), gain and bandwidth reaches to 8 dBi and 680 MHz, respectively. The transmission line model of the composite structure has also been developed.
Variational Formulation of the Template-Based Quasi-Conformal Shape-from-Motion from Laparoscopic Images

One of the current limits of laparosurgery is the absence of a 3D sensing facility for standard monocular laparoscopes. Significant progress has been made to acquire 3D from a single camera using Visual SLAM (Simultaneous Localization And Mapping), however most of the current approaches rely on the assumption that the observed tissue is rigid or undergoes periodic deformations. In laparoscopic surgery, these assumptions do not apply due to the unpredictable and elastic deformation of the tissues. We propose a new sequential 3D reconstruction method adapted to reconstructing organs in the abdominal cavity. We draw on recent computer vision methods exploiting a known 3D view of the environment at rest position called a template. However, no such method has ever been attempted in-vivo. State-of-the-art methods assume that the environment can be modeled as an isometric developable surface: one which deforms isometrically to a plane. While this assumption holds for paper and cloth-like surfaces, it certainly does not fit human organs and tissue in general. Our method tackles these limits: it uses a nondevelopable template and copes with natural 3D deformations by introducing quasi-conformal prior. Our method adopts a new two-phase approach. First the 3D template is reconstructed invivo using RSfM (Rigid Shape-from-Motion) while the surgeon is exploring – but not deforming – structures in the abdominal cavity. Second, the surgeon manipulates and deforms the environment. Here, the 3D template is quasi-conformally deformed to match the 2D image data provided by the monocular laparoscope. This second phase only relies on a single image. Therefore it copes with both sequential processing and self-recovery from tracking failures. The proposed approach has been validated using: (i) in-vivo animal data with ground-truth, and (ii) in-vivo laparoscopic videos of a real patient’s uterus. Our experimental results illustrate the ability of our method to reconstruct natural 3D deformations typical in real surgery.
Um Mecanismo para Isolamento Seguro de Redes Virtuais Usando a Abordagem Híbrida Xen e OpenFlow

Redes virtuais seguras devem prover a privacidade e evitar a negação de serviço. Este artigo propõe um mecanismo de isolamento seguro baseado no paradigma de separação do plano de controle do de dados e na técnica de encaminhamento de pacotes XenFlow, uma abordagem híbrida usando Xen e OpenFlow. O mecanismo proposto emprega uma aplicação de controle de redes OpenFlow para marcar com etiquetas cada rede formada por máquinas virtuais Xen. No paradigma de separação de planos o encaminhamento dos pacotes de cada rede virtual é realizado diretamente no plano de dados e o mecanismo proposto garante o isolamento do tráfego com reserva de recursos para cada rede virtual. O protótipo desenvolvido é avaliado perante dois modelos de atacante: o primeiro tenta exaurir os recursos das redes virtuais e o segundo tenta bisbilhotar a comunicação de redes virtuais. Os resultados dos experimentos revelam a eficácia do mecanismo proposto em isolar o tráfego até em situações adversas como redes virtuais com o mesmo endereço IP ou com pacotes em difusão.
Can modifications of the MDRD formula improve the estimation of glomerular filtration rate in renal allograft recipients?

BACKGROUND Two modifications of the MDRD equation [the Mayo Clinic (MC) equation and Rule's refitted (RR) MDRD formula] were proposed to overcome disadvantages of the original MDRD formula to calculate glomerular filtration rate (GFR). Additionally, a correction factor for the original MDRD formula has been introduced to adapt this formula to creatinine values measured by the isotope-dilution mass spectrometry (IDMS) method. Although precise determination of GFR is of central importance in renal transplant recipients, these equations have not been tested in these patients so far. METHODS Considering the impact of different creatinine calibrations, we analysed the MC equation and the RR-MDRD formula in comparison with the old as well as the re-expressed (IDMS traceable) MDRD equation and the Cockcroft-Gault (C-G) formula in 126 consecutive patients after kidney transplantation with respect to correlation, bias, precision, accuracy and ROC analysis. GFR was determined as technetium-diethylenetriamine pentaacetic acid ((99m)Tc-DTPA-clearance). RESULTS After adjustment to IDMS creatinine determination, the performance of the re-expressed MDRD formula improved considerably in comparison to the original MDRD equation. In comparison with the re-expressed MDRD formula bias of the MC formula and the RR-MDRD formula were significantly smaller (2.31 and -0.35 vs 3.82 ml/min/1.73 m(2)). However, precision and correlation of these formulae did not differ significantly from one another, but all equations showed a higher precision than the C-G formula (P < or = 0.006 each). The accuracies within 30% of true GFR of the MC (79.4%) and the RR-MDRD equation (84.9%) were significantly higher than those of the re-expressed MDRD formula (72.2%; P < 0.03). CONCLUSION In comparison to the original and the re-expressed MDRD formula, calculation of GFR by the MC equation and the RR-MDRD formula led to improved diagnostic performance in renal transplant recipients after adjustment of creatinine. In quotidian work both formulae can be applied to these patients. Nonetheless, to determine GFR exactly, gold standard techniques are mandatory.
A Semi-supervised Method for Feature Selection

Feature selection has been widely studied in the literature in both supervised and unsupervised scenario for dimensionality reduction. Supervised methods may cost too much on labeling, while unsupervised ones may lose efficacy because of lack of labels. In order to reduce dimensionality with less expense and higher efficiency, we propose a novel semi-supervised method based on Linear Discriminant Feature Selection (LDFS) and graph optimization framework, called Semi-supervised Discriminant Feature Selection (SDFS), which makes use of both labeled and unlabeled samples. Specifically, a small number of labeled data points are used to maximize the separability between different classes and a large amount of unlabeled data points are used to estimate the intrinsic geometric structure of the data. Experiments of dimensionality reduction show that our new feature selection methods out-perform related state-of-the-art feature selection approaches. SDFS utilizes both discriminant structure information of the labeled samples and geometric structure information of the unlabeled samples, which can improve the efficiency of dimensionality reduction in condition of only a few labels.
Dual band low profile antenna for body centric communications with a split ring resonator

A dual band low profile antenna for wireless body centric communications is presented in this paper. It is composed of a zeroth-order loop loaded periodically with mu-negative transmission line (MNG-TL) and a circular patch located in the center of loop. The MNG-TL loop based on the fundamental infinite wavelength property allows current along the loop to remain in phase and same magnitude so that a highly efficient and miniature loop antenna with omni-directional pattern in azimuth plane at low frequency band for on-body communications is generated. On the other hand, a unidirectional pattern in elevation plane at upper frequency band for off-body communications is also obtained by circular patch simultaneously. In order to improve the pattern in azimuth plane, a split ring resonator (SRR) element is used to direct the electromagnetic field propagation. By placing a single SRR at the near field of the loop in different location, the mechanic of function between SRR and loop is also presented.
Mechanically controllable break-junctions for use as electrodes for molecular electronics

We discuss the use of mechanically controllable break-junctions (MCBs) as electrodes for contacting individual objects such as clusters or molecules. A big advantage of MCB electrodes is the possibility of varying the contact geometry and, accordingly, the contact resistances and the quantum coherent transport properties between the object under study and the electrodes. We compare the suitability of single-atom contacts of different elements as electrode material. Finally, we present preliminary results on electronic transport through individual (or a few) fullerene molecules contacted by gold MCB electrodes. The typical resistances are in the order of the quantum of conductance. The circuits sustain voltages of the order of 1 V and are mechanically more stable than single-atom contacts between the gold electrodes alone.
Improved dual-forest for multicast protection

To provide fault-tolerance for multicast connections, different techniques of protection are developed. These techniques can be classed into reactive and pro-active approaches. Reactive approaches can have long recovery latency which is undesirable for many types of applications such as the real time ones. In this paper, we focus on the multicast pro-active fault-tolerance schemes. One of the promising protection techniques is the dual-tree protection which is efficient to cope with single link failure but which cannot deal with node failures suitably. In this paper, we present an improved solution using a dual-forest for multicast protection. Our proposition provides three improvements to traditional dual-tree protection. The first one concerns the capability to bypass both single link and node failures in a suitable and quick manner. The second increases the level of protection with the use of a forest as backup instead of a tree. The last permits the cost optimization of the dual-forest and of the delivery tree after recovery. Simulation experiments show that the improved dual-forest scheme has better protection rate and causes less tree cost increase after recovery than the path-protection scheme
Towards a Climate Data Record of satellite ocean vector winds

A Climate Data Record of ocean surface winds is very valuable for climate research, as surface winds are key drivers of oceanic and atmospheric processes which regulate global and regional climate. However, producing a climate-quality global dataset of ocean surface winds by combining observations from different satellites is a very challenging task. Here we present a methodology ideal for merging different dataset to produce a Climate Data Record of ocean surface winds. Our first step has been the reprocessing of the wind vectors from the scatterometer QuikSCAT, which operated from 1999 to 2009. The QuikSCAT were reprocessed by using a new model function developed to improve retrievals at high wind speeds. QuikSCAT winds will serve as a backbone for our Climate Data Record. Our next step is to apply the same methodology and calibration method to the winds from the European scatterometer ASCAT, which started in 2007.
BUILD-IT: a planning tool for construction and design

It is time to go beyond the established approaches in humancomputer interaction. With the Augmented Reality (AR) design strategy humans are able to behave as much as possible in a natural way: behavior of humans in the real world with other humans and/or real world objects. Following the fundamental constraints of natural way of interacting we derive a set of recommendations for the next generation of user interfaces: the Natural User Interface (NUI). The concept of NUI is presented in form of a runnable demonstrator: a computer vision-based interaction technique for a planning tool for construction and design tasks.
Probabilistic Timed Automata for Security Analysis and Design

The usefulness of formal methods for the description and verification of complex systems is nowadays widely accepted. While some system properties can be studied in a non-timed and nonprobabilistic setting, others, such as quantitative security properties, system performance and reliability properties, require a timed and probabilistic description of the system. This thesis focuses on methods for the formal modeling of probabilistic timed systems, and on algorithms for the automated verification of their properties. The models considered describe the behavior of a system in terms of time and probability, and the formal description languages used are based on extensions of Timed Automata, Markov Decision Processes and combinations of them. In multilevel systems it is important to avoid unwanted indirect information flow from higher levels to lower levels, namely the so called covert channels. Initial studies of information flow analysis were performed by abstracting away from time and probability. It is already known that systems which are considered to be secure may turn out to be insecure when time or probability are considered. Recently, work has been done in order to consider also aspects either of time or of probability, but not both. In this thesis, a general framework is proposed, which is based on Probabilistic Timed Automata, where both probabilistic and timing covert channels can be studied. A concept of weak bisimulation for Probabilistic Timed Automata is given, together with an algorithm to decide it. Such an equivalence relation is necessary to define information flow security properties. Thus, a Non Interference security property and a Non Deducibility on Composition security property are given. They allow expressing information flow in a timed and probabilistic setting, and they can be compared with analogous properties defined in settings where either time or probability or none of them are taken into account. This permits a classification of the properties depending on their discriminating power. Some new aspects are then explored involving the introduction of parameters in Markov Decision Processes and the use of Timed Automata in the study of cryptographic protocols. Finally, some real-life applications are described through automata-based formalisms, and model checking is used to study security issues affected by aspects of time and probability.
Hydrothermal synthesis of perovskite and pyrochlore powders of potassium tantalate

Potassium tantalate powders were hydrothermally synthesized at 100 to 200 °C in 4 to 15 M aqueous KOH solutions. A defect pyrochlore, Kta_2O_5(OH). n H_2O ( n ≈ 1.4), was obtained at 4 M KOH, but at 7–12 M KOH, this pyrochlore was gradually replaced by a defect perovskite as the stable phase. At 15 M KOH, there was no intermediate pyrochlore, only a defect perovskite, _0. 85Ta_0. 92O_2. 43(OH)_0. 57 0. 15H_2O. Synthesis at higher KOH concentrations led to greater incorporation of protons in the perovskite structures. The potassium vacancies required for charge compensation of incorporated protons could accommodate water molecules in the perovskite structure.
Semantic Similarity between Concepts from Different OWL Ontologies

Ontologies are widely used and play important roles in applications related to knowledge management, knowledge engineering, natural language processing, information retrieval, etc. Computing semantic similarity between concepts from different ontologies is important in ontology operations such as mapping, aligning, and integrating. This paper presents an algorithm to compute the semantic similarity between concepts from different ontologies based on OWL. The concept similarity is the combination of the five components: syntactic, properties, neighborhood, context similarity, and equivalent similarity. It improves previous work by adding the context and equivalent similarity dimension. The experimental results confirm the viability of the algorithm.
Performance Comparison and Implementation of Distance Based Routing Protocol in MANET Using NS-2

— A mobile ad hoc network (MANET) is a collection of wireless mobile nodes communicating with each other using multi-hop wireless networks. One of the main challenges of MANET is the design of robust routing algorithms that adapt to the frequent and randomly changing network topology. This feature leads to frequent path failures and route reconstructions, which causes an increase in the routing control overhead. A variety of routing protocols have been proposed and several of them have been extensively simulated or implemented as well. Existing distance based routing protocols like Ad-hoc On-demand Multipath Distance Vector (AOMDV) routing protocol, which is a multipath routing protocol, Destination sequence distance vector (DSDV) routing protocol, Distance Routing Effect Algorithm For Mobility (DREAM), Secure Efficient Distance Vector Routing For Mobile Wireless Ad Hoc Networks (SEAD),and Polarized Gossip Protocol (PGP) are analyzed and concluded that PGP performs well compared to other protocol mentioned above. In proposed work the position-based routing features combined into on-demand routing protocols and propose an distance based routing protocol (EDRP) in the absence of positioning service to improve the route discovery.
A novel normalized threshold generalized selection scheme and its performance evaluation

In this paper, we propose and analyze a new generalized selection combining (GSC) scheme referred to as N-branch plus normalized threshold generalized selection combining (N+NT-GSC). Performance measures are obtained through the derivation of the moment generating function (MGF) of the diversity combiner output signal-to-noise ratio (SNR) for generalized fading channels. Implementation complexity of N+NT-GSC is investigated, and the mean and variance of the number of combined branches are derived in compact forms. The new N+NT-GSC is shown to bridge the characteristics of normalized threshold generalized selection combining (NT-GSC) and the conventional GSC, and exhibit better robustness than previously proposed NT-GSC over branch imbalance and fading distributions.
Extracting Spatial Information From Place Descriptions

A computational model of understanding place descriptions is a cardinal issue in multiple disciplines and provides critical applications especially in dialog-driven geolocation services. This research targets the automated extraction of spatial triplets to represent qualitative spatial relations between recognized places from natural language place descriptions via a simple class of locative expressions. We attempt to produce triplets, informative and convenient enough as a medium to convert verbal descriptions to graph representations of places and their relationships. We present a reasoning approach devoid of any external resources (such as maps, path geometries or robotic vision) for understanding place descriptions. We then apply our methodologies to situated place descriptions and study the results, its errors and implied future research.
The Link between International Remittances and Private Interhousehold Transfers

The paper studies the link between international remittances and interhousehold transfers. Using a simple insurance model, it is shown that households transfer a large fraction of the remittance they receive from relatives abroad to other households. The effect of remittances on interhousehold transfers is empirically investigated using an urban household survey from Ethiopia. Consistent with the prediction of the model, remittance has a strong positive effect on the amount of transfer given, controlling for total household income and other covariates.
Iterative algorithm using particle filter for positioning in NLOS environment

It is important to estimate the accurate position of sensor tag in sensor network, for example, RFID. Time difference of arrival (TDOA) positioning algorithm is well known as the positioning algorithm of the sensor tag. Therefore, the positioning accuracy of conventional linear search algorithm is decreased exceedingly in non-line-of sight (NLOS) environment. Especially, we adopt IEEE 802.15. 4a ultra wideband (UWB) channel model as NLOS condition in order to assume that UWB system is used at indoors for positioning system. In this paper, we propose the iterative NLOS delay compensation algorithm based on TDOA in order to fulfill high accuracy in the damaged propagation through NLOS environment. At first, the temporary position is estimated by normal TDOA method and transmission start time is estimated. Next, the time difference between transmission start time and node arrival time is compensated by delay compensation function (DCF), and reliability of each node is decided by reliability weight function (RWF). By those iterative processes, the positioning accuracy is improved.