Miracle-dz/UniFAR-FTUs huggingface dataset:
Video enhancement using a robust iterative SRR based on Leclerc stochastic estimation

Recent results in SRR (Super Resolution Reconstruction) demonstrate that the fusion of a sequence of low-resolution noisy blurred images can produce a higher-resolution image or sequence. Since noise is always present in practical acquisition systems, almost video enhancement algorithms are developed assuming AWGN model for the corrupting noise. When the underlying video measurements are corrupted by other noise models such as Poisson Noise, impulsive Noise (Salt&Pepper) and Speckle Noise, the enhancement algorithms fail to recover a close approximation of the video. This paper proposes an alternative robust video enhancement algorithm using SRR based on the regularization ML technique. First, the classical registration process is used to estimate the relationship between the reference frame and other neighboring frames. Subsequently, the Leclerc norm is used for measuring the difference between the projected estimate of the high quality image and each low high quality image and for removing outliers in the data. Moreover, Tikhonov regularization is incorporated in the proposed framework in order to remove artifacts from the final answer and to improve the rate of convergence. Later, the reconstructed video frame is estimated by minimize the total cost function. Finally, experimental results are presented to demonstrate the outstanding performance of the proposed algorithm in comparison to several previously published methods.
An Authorization Mechanism Based on Privilege Negotiation Policy in Grid

With the dynamic change of users and resources in different secure domains of Grid, the overall consistency of privileges defined would be broken. This would compromise Grid system and waste system overhead on dealing with the increasing grid jobs with invalid privileges. To address the problem, this paper proposes an authorization mechanism based on privilege negotiation policy. This mechanism can detect timely the change of privileges, negotiate automatically and resume quickly the overall consistency of privileges between different secure domains. The test result of the mechanism implementation shows that it shortens greatly the period of resuming the overall consistency of privileges between different secure domains when the consistency was broken. This reduces the number of grid jobs with invalid privileges. Thereby, it avoids wasting more system overhead of dealing with the increasing grid jobs with invalid privileges and improves system performance.
Theory and design of field-effect carbon nanotube transistors

In this work we study the effects of the application of an electric field perpendicular to the axis of a Carbon nanotube. We find that such a field acts to lower the bandgap and alter the wavefunctions around the circumference of the tube. We simulate the quantum transport properties of a resonant-tunneling FET as an application of these effects using the Wigner-function formalism. The results of our theoretical model indicate that the current in this device can be effectively manipulated by the gate potential.
Algebraic Functions For Recognition

In the general case, a trilinear relationship between three perspective views is shown to exist. The trilinearity result is shown to be of much practical use in visual recognition by alignment-yielding a direct reprojection method that cuts through the computations of camera transformation, scene structure and epipolar geometry. Moreover, the direct method is linear and sets a new lower theoretical bound on the minimal number of points that are required for a linear solution for the task of reprojection. The proof of the central result may be of further interest as it demonstrates certain regularities across homographics of the plane and introduces new view invariants. Experiments on simulated and real image data were conducted, including a comparative analysis with epipolar intersection and the linear combination methods, with results indicating a greater degree of robustness in practice and a higher level of performance in reprojection tasks. >
Large Scale Activity Profile Induction for Small Molecules

Virtual screening techniques (VS) have become an essential part of drug discovery research. Biological activity prediction is one of the most important fields of VS. Many models has been generated for this goal. However, usually, the available models depend on the structure-activity relationship (similarity principle). It is proven that this principle has malfunctions and is not correct in many cases. Therefore, the activity-activity principle has been introduced. This requires molecular representation in the activity space. Many molecules are without representation or with no sufficient representation because of the lack in the experimental data. Here, we introduce virtual activity profiles as a new representation of the molecules which are alternatives to the experimental activity profiles. Moreover, we improve the activity profiles by increasing the number of contributing assays. This is done by employing a semi supervised algorithm to add new molecules to the assays of too small number of molecules which are experimentally verified. In this way these assays have sufficient number of molecules to get good models. We prepared the required infrastructure (hardware and software). Our data were brought from the public repository PubChem. The resulting models of the virtual activity profiles have shown worse quality than the structural ones, but the difference is not considerably significant. Therefore, we combined both of them. The new models are shown to be slightly, but still not significantly better than the structural ones. Promising
A single-stranded gap in human immunodeficiency virus unintegrated linear DNA defined by a central copy of the polypurine tract

The structure of unintegrated human immunodeficiency virus type 1 (HIV-1) DNA from acutely infected human lymphoid cells was analyzed by nuclease S1 cleavage. We observed a unique, discrete single-stranded gap in unintegrated linear DNA molecules, located near the center of the genome. Oligonucleotide primer extension experiments determined that the downstream limit of this gap coincides with the last nucleotide of a central copy of the polypurine tract found in all sequenced lentivirus genomes. Other retroviruses have only one copy of the polypurine tract at the 5' boundary of the 3' long terminal repeat, which has been shown to determine initiation of retroviral DNA plus-strand synthesis. We conclude from our observations that the central repeat of the polypurine tract can create an additional site for plus-strand synthesis initiation in lentiviruses. The central single-stranded gap was not found in circular DNA molecules, the vast majority of them carrying only one long terminal repeat. This finding suggests that the generation of such circular molecules is associated with early DNA ligation events.
Multi-array fusion for beamforming and localization of moving speakers

In this work we deal with the fusion of the estimates of independent microphone arrays to produce an improved estimate of the Direction of Arrival (DOA) of one moving speaker, as well as localization coordinates of multiple moving speakers based on Time Delay Of Arrivals (TDOA). Our approach (a) fuses measurements from independent arrays, (b) incorporates kinematic information of speakers’ movement by using parallel Kalman filters, and (c) associates observations to specific speakers by using a Probabilistic Data Association (PDA) technique. We demonstrate that a network of arrays combined with statistical fusion techniques provides a consistent and coherent way to reduce uncertainty and ambiguity of measurements. The efficiency of the approach is illustrated on a simulation dealing with beamforming one moving speaker on an extended basis and localization of two closely spaced moving speakers with crossing trajectories.
Identifying outlets at which electrical appliances are used by electrical wire sensing to gain positional information about appliance use

This paper presents a new method for estimating which outlet an electrical appliance is plugged into by using the electrical wiring installed in the building. By making use of the voltage drop caused by the wire, we can estimate the distance between the sensor and an electrical appliance plugged into an outlet on an electrical circuit. If we have a floor plan of an environment of interest showing a wiring diagram and where a sensor is attached, we can determine which outlet an electrical appliance is plugged into from the distance between the sensor and the appliance. The estimated outlet position of an appliance is very useful for understanding real-world events and developing real-world applications, e.g., providing user location and appliance location aware services, daily activity recognition, and estimating a user's indoor location through electrical appliance use under specific conditions.
Information propagation in social rating networks

The polarity of opinion is a crucial part of information and ignoring the asymmetry between them, can potentially result in an inaccurate estimation of the number of product adoptions and incorrect recommendations. We analyze the propagation patterns of the negative and positive opinions on two real world datasets, Flixster and Epinions, and observe that the presence of negative opinions significantly reduces the number of expressed opinions. To account for the asymmetry between the two kind of opinions, we propose extensions of the two most popular information propagation models, Independent Cascade and Linear Threshold models. The proposed extensions give a tractable influence problem and improves the prediction accuracy of future opinions, by more than 3% on Flixster and 5% on Epinions datasets.
Efficient Content-based Image Retrieval Using Weighted Feature Aggregation Scheme

This paper presents a content-based image retrieval system for aggregation and combination of different image features. Feature aggregation is important technique in general content-based image retrieval systems that employ multiple visual features to characterize image content. We introduced and evaluated linear combination to fuse different features. The most important step in the feature aggregation is to find suitable weights for the individual features. We have used relevance feedback techniques to determine the salient features and to learn weights for each feature. The weights are used in linear combination scheme that we call weighted feature aggregation. The implemented system has several advantages over the existing content-based image retrieval systems. Several implemented features included in our system allow the user to adapt the system to the query image. The weighted combination of features allows flexible query formulations and helps processing specific queries for which users have no knowledge about any suitable descriptors.
ROBUST H∞ STATIC OUTPUT FEEDBACK CONTROL OF FUZZY SYSTEMS: AN ILMI APPROACH

Abstract This paper examines the problem of robust H ∞ static output feedback control of a Takagi-Sugeno (T-S) fuzzy system. The proposed robust H ∞ static output feedback controller guarantees the H 2 gain of the mapping from the exogenous disturbances to the regulated output to be less than or equal to a prescribed level. The existence of a robust H ∞ static output feedback control is given in terms of the solvability of bilinear matrix inequalities. An iterative algorithm based on the linear matrix inequality is developed to compute robust H ∞ static output feedback gains. To reduce the conservatism of the design, the structural information of membership function characteristics is incorporated. A numerical example is used to illustrate the validity of the design methodologies.
Fast Multispectral 2 Gray

A standard approach to generating a grayscale equivalent to an input multi-spectral image involves calculating the so-called structure tensor at each image pixel. Defining contrast as associated with the maximum-change direction of this matrix, the gray gradient is identified with the first eigenvector direction, with gradient strength given by the square root of its eigenvalue. However, aside from the inherent complexity of such an approach, each pixel’s gradient still possesses a sign ambiguity, since an eigenvector is given only up to a sign. This is ostensibly resolved by looking at how one of the color channels behaves, or how the the luminance changes, or how overall integrability is affected by each sign choice. Instead, we would like to circumvent the sign problem in the first place, and also avoid calculating the costly eigenvector decomposition. We suggest replacing the eigenvector approach by generating a grayscale gradient equal to the maximum gradient amongst the color or multi-spectral channels’ gradients, in each of x, y. color or But in order not to neglect the tensor approach, we consider the relationship between the complex and the simple approaches. We also note that, at each pixel, we have both forward-facing and backward-facing derivatives, which are different. In a novel approach, we consider a tensor formed from both. Then, over a standard training set, we ask for an optimum set of weights for all the maximum gradients such that the simple maxima scheme generates a grayscale structure tensor to best match the original, multi-spectral, one. If we use only forward-facing derivatives, a fast Fourier-based solution is possible. But instead, we find that a simple scheme that equally weights maxima in the forward-facing and backward-facing directions produces superlative results if a reset step is included, in a spatial-domain solution. Grayscale results are shown to be excellent, and the algorithm is very fast.
MOTOR CURRENT SIGNATURE ANALYSIS BASED FAULT DIAGNOSIS OF INDUCTION MOTOR

Condition monitoring and fault diagnosis systems are employed in industries to monitor the health of the machines continuously. Induction motors are widely used in transportation, manufacturing, mining, manufacturing , petrochemical and in almost every other fields dealing with electrical power. For industry, a faulty induction motor signifies reduction in production and cost increase. Motor Current Signature Analysis (MCSA) is the most popular method used for fault detection in the induction motor. MCSA is a diagnosis method for induction motors fed by supplies with high harmonic content and also helps in the detection of faults due to remarkable noise on the line current, transient operating conditions. This harmonic content, which is normally known as a major side effect, gives rise to extra signatures which is utilized by the MCSA in distinguishing faulty current spectrum patterns from healthy ones. The proposed system is a diagnosis method for the detection of stator faults occurring in three phase squirrel cage induction motors and correction of extra signatures in the current spectrum using the combination of MULTISIM and LabVIEW.
Quantum Databases

We introduce quantum databases , a new database abstraction that allows to defer the making of choices in transactions until an application or user forces the choices by observation. Conceptually, a transaction is in a quantum state – in one of many possible worlds, which one is unknown – until ﬁxed by observation. Practically, our abstraction enables late binding of values read from the database. This allows more transactions to succeed in environments with high contention. This is particularly important for applications in which transactions compete for scarce physical resources represented by data items in the database, such as seats in airline reservation systems or meeting slots in calendaring systems. In such environments, deferral of the assignment of resources to consumers until all constraints are available to the system will lead to more successful transactions. Through entanglement of queries and trans-actions, a notion that we have explored in previous work, quantum databases can enable collaborative applications with a constraint satisfaction aspect directly within the database system.
Disruption of Intracellular Calcium Regulation Is Integral to Aminoglycoside-Induced Hair Cell Death

Intracellular Ca2+ is a key regulator of life or death decisions in cultured neurons and sensory cells. The role of Ca2+ in these processes is less clear in vivo, as the location of these cells often impedes visualization of intracellular Ca2+ dynamics. We generated transgenic zebrafish lines that express the genetically encoded Ca2+ indicator GCaMP in mechanosensory hair cells of the lateral line. These lines allow us to monitor intracellular Ca2+ dynamics in real time during aminoglycoside-induced hair cell death. After exposure of live larvae to aminoglycosides, dying hair cells undergo a transient increase in intracellular Ca2+ that occurs shortly after mitochondrial membrane potential collapse. Inhibition of intracellular Ca2+ elevation through either caged chelators or pharmacological inhibitors of Ca2+ effectors mitigates toxic effects of aminoglycoside exposure. Conversely, artificial elevation of intracellular Ca2+ by caged Ca2+ release agents sensitizes hair cells to the toxic effects of aminoglycosides. These data suggest that alterations in intracellular Ca2+ homeostasis play an essential role in aminoglycoside-induced hair cell death, and indicate several potential therapeutic targets to stem ototoxicity.
Limitations of the IEEE 802.11e EDCA protocol when supporting real-time communication

In this paper, we analyze the timing behavior of the EDCA communication mechanism defined in the IEEE 802.11e standard, when it is used to support real-time (RT) traffic. In the context of this paper, RT traffic means small sized packets generated in periodic intervals, which must be delivered before the end of the message stream period. Otherwise, the message is considered to be delayed and a deadline loss occurs. The target of this paper is to understand the limitations of the highest priority level of the EDCA mechanism (voice category) when supporting RT communication. We have assessed this mechanism considering an open communication environment, where there are RT and non-RT stations operating in the same frequency band. Furthermore, a realistic error-prone model channel was used to measure the impact of interferences against an error-free channel. We show that in the most cases evaluated, both the number of packet losses and the average packet delays forecast an unacceptable number of deadline losses for the RT message streams, even for intermediate load cases. As a conclusion of this paper, we present some potential future directions toward improved QoS in wireless networks.
Shannon capacity regions for orthogonally multiplexed MIMO broadcast channels with informed transmitters

This paper considers the Shannon capacity region of a space and time dispersive multiple-input multiple-output (MIMO) broadcast channel with multi-dimensional space-time modulation. We assume no inter-user cooperation and consider a non-fading environment with orthogonally multiplexed users. With the single user capacity being achieved by water-filling power allocation and eigen-beamforming transmission, we investigate the capacity region when each user channel is known at both the transmitter and receiver. Furthermore, the high and low SNR asymptotic behaviour of the capacity region is studied along with the transmit power allocation that maximizes the sum capacity. Numerical results show that the capacity region expands with the number of signal propagation paths, and also with the number of antennas. The effect of space-time modulation is also pointed out.
CMYB1 Encoding a MYB Transcriptional Activator Is Involved in Abiotic Stress and Circadian Rhythm in Rice

Through analysis of cold-induced transcriptome, a novel gene encoding a putative MYB transcription factor was isolated and designated Cold induced MYB 1 (CMYB1). Tissue-specific gene expression analysis revealed that CMYB1 was highly expressed in rice stems and nodes. qRT-PCR assay indicated that CMYB1 was dramatically induced by cold stress (>100-folds) and induced by exogenous ABA and osmotic stress. Interestingly, CMYB1 showed rhythmic expression profile in rice leaves at different developmental stages. Subcellular localization assay suggested that CMYB1-GFP (green fluorescent protein) fusion protein was localized in the nuclei. Moreover, CMYB1 exhibited the transcriptional activation activity when transiently expressed in rice protoplast cells. Taken together, CMYB1 probably functions as a transcriptional activator in mediating stress and rhythm responsive gene expression in rice.
The mechanics of the gibbon foot and its potential for elastic energy storage during bipedalism

SUMMARY The mechanics of the modern human foot and its specialization for habitual bipedalism are well understood. The windlass mechanism gives it the required stability for propulsion generation, and flattening of the arch and stretching of the plantar aponeurosis leads to energy saving. What is less well understood is how an essentially flat and mobile foot, as found in protohominins and extant apes, functions during bipedalism. This study evaluates the hypothesis that an energy-saving mechanism, by stretch and recoil of plantar connective tissues, is present in the mobile gibbon foot and provides a two-dimensional analysis of the internal joint mechanics of the foot during spontaneous bipedalism of gibbons using a four-link segment foot model. Available force and pressure data are combined with detailed foot kinematics, recorded with a high-speed camera at 250 Hz, to calculate the external joint moments at the metatarsophalangeal (MP), tarsometatarsal (TM) and talocrural (TC) joints. In addition, instantaneous joint powers are estimated to obtain insight into the propulsion-generating capacities of the internal foot joints. It is found that, next to a wide range of motion at the TC joint, substantial motion is observed at the TM and MP joint, underlining the importance of using a multi-segment foot model in primate gait analyses. More importantly, however, this study shows that although a compliant foot is less mechanically effective for push-off than a `rigid' arched foot, it can contribute to the generation of propulsion in bipedal locomotion via stretch and recoil of the plantarflexor tendons and plantar ligaments.
QoS aggregation for Web service composition using workflow patterns

Contributions in the field of Web services have identified that (a) finding matches between semantic descriptions of advertised and requested services and (b) nonfunctional characteristics - the quality of service (QoS) - are the most crucial criteria for composition of Web services. A mechanism is introduced that determines the QoS of a Web service composition by aggregating the QoS dimensions of the individual services. This allows to verify whether a set of services selected for composition satisfies the QoS requirements for the whole composition. The aggregation performed builds upon abstract composition patterns, which represent basic structural elements of a composition, like sequence, loop, or parallel execution. This work focusses on workflow management environments. We define composition patterns that are derived from Van der Aalst's et al. comprehensive collection of workflow patterns. The resulting aggregation schema supports the same structural elements as found in workflows. Furthermore, the aggregation of several QoS dimensions is discussed.