total 927took 0.12s

Scalable optimal Bayesian classification of single-cell trajectories under regulatory model uncertaintyFeb 08 2019Single-cell gene expression measurements offer opportunities in deriving mechanistic understanding of complex diseases, including cancer. However, due to the complex regulatory machinery of the cell, gene regulatory network (GRN) model inference based ... More

Control of Gene Regulatory Networks with Noisy Measurements and Uncertain InputsFeb 24 2017This paper is concerned with the problem of stochastic control of gene regulatory networks (GRNs) observed indirectly through noisy measurements and with uncertainty in the intervention inputs. The partial observability of the gene states and uncertainty ... More

Particle Filters for Partially-Observed Boolean Dynamical SystemsFeb 23 2017Partially-observed Boolean dynamical systems (POBDS) are a general class of nonlinear models with application in estimation and control of Boolean processes based on noisy and incomplete measurements. The optimal minimum mean square error (MMSE) algorithms ... More

Optimization of Bloom Filter Parameters for Practical Bloom Filter Based Epidemic Forwarding in DTNsAug 19 2012Epidemic forwarding has been proposed as a forwarding technique to achieve opportunistic communication in Delay Tolerant Networks. Even if this technique is well known and widely referred, one has to first deal with several practical problems before using ... More

Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of UncertaintyMay 30 2018Scientists are attempting to use models of ever increasing complexity, especially in medicine, where gene-based diseases such as cancer require better modeling of cell regulation. Complex models suffer from uncertainty and experiments are needed to reduce ... More

An Off-policy Policy Gradient Theorem Using Emphatic WeightingsNov 22 2018Policy gradient methods are widely used for control in reinforcement learning, particularly for the continuous action setting. There have been a host of theoretically sound algorithms proposed for the on-policy setting, due to the existence of the policy ... More

Modified Relay Selection and Circuit Selection for Faster TorAug 26 2016Users of the Tor anonymity system suffer from lessthan- ideal performance, in part because circuit building and selection processes are not tuned for speed. In this paper, we examine both the process of selecting among pre-built circuits and the process ... More

Modified Relay Selection and Circuit Selection for Faster TorAug 26 2016Aug 30 2018Users of the Tor anonymity system suffer from lessthan- ideal performance, in part because circuit building and selection processes are not tuned for speed. In this paper, we examine both the process of selecting among pre-built circuits and the process ... More

The Evaluation of Circuit Selection Methods on TorJun 17 2017Tor provides anonymity online by routing traffic through encrypted tunnels, called circuits, over paths of anonymizing relays. To enable users to connect to their selected destination servers without waiting for the circuit to be build, the Tor client ... More

An Off-policy Policy Gradient Theorem Using Emphatic WeightingsNov 22 2018Jun 20 2019Policy gradient methods are widely used for control in reinforcement learning, particularly for the continuous action setting. There have been a host of theoretically sound algorithms proposed for the on-policy setting, due to the existence of the policy ... More

3 Dimensional N=8 Supersymmetric Field Theory RevisitedAug 12 2008Feb 24 2009Inspired by ideas regarding Hermitian NxN matrix fields obeying a non-associative algebra, 3-dimensional N=8 SUSic field theories are proposed to on-shell represent subalgebras of OSp(8|2) and OSp(8|4) groups of SUSY transformations. They are theories ... More

A note on a paper of Harris concerning the asymptotic approximation to the eigenvalues of $-y"+qy=λy$, with boundary conditions of general formFeb 17 2012In this paper, we derive an asymptotic approximation to the eigenvalues of the linear differential equation $$ -y"(x)+q(x)y(x)=\lambda y(x), x\in (a,b) $$ with boundary conditions of general form, when $q$ is a measurable function which has a singularity ... More

Coding-Theoretic Methods for Sparse RecoveryOct 03 2011Feb 09 2012We review connections between coding-theoretic objects and sparse learning problems. In particular, we show how seemingly different combinatorial objects such as error-correcting codes, combinatorial designs, spherical codes, compressed sensing matrices ... More

Application of Self-Organizing Map to Stellar Spectral ClassificationsAug 02 2011We present an automatic, fast, accurate and robust method of classifying astronomical objects. The Self Organizing Map (SOM) as an unsupervised Artificial Neural Network (ANN) algorithm is used for classification of stellar spectra of stars. The SOM is ... More

Derandomization and Group TestingOct 03 2010The rapid development of derandomization theory, which is a fundamental area in theoretical computer science, has recently led to many surprising applications outside its initial intention. We will review some recent such developments related to combinatorial ... More

3 Dimensional N=8 Supersymmetric Field Theory Revisited: A Superfield FormulationSep 04 2008Feb 24 2009In [arXiv:0808.1677] 3 dimensional field theories are proposed to on-shell represent N=8 SUSY algebra and SO(7) or SO(4)xSO(4) subgroups of full SO(8) automorphism. They are theories of 8 scalar and 8 spinor matrix fields with Yukawa, quartic and sextic ... More

On the Time-Range Dependency of the Beampatterns Produced by Arbitrary Antenna Arrays: Discussions on the Misplaced Expectations from Frequency Diverse ArraysMar 07 2019In the recent years constructing time-invariant spatial-focusing beampatterns by using frequency diverse arrays (FDAs) is conveyed in several papers. Further than time-invariant spatial-focusing beampatterns, the unfeasibility of constructing range-dependent ... More

Probability Density Function Estimation in OFDM Transmitter and Receiver in Radio Cognitive Networks based on Recurrent Neural NetworkJul 18 2018The most important problem in telecommunication is bandwidth limitation due to the uncontrolled growth of wireless technology. Deploying dynamic spectrum access techniques is one of the procedures provided for efficient use of bandwidth. In recent years, ... More

Redundancy schemes for engineering coherent systems via a signature-based approachJul 30 2017This paper proposes a signature-based approach for solving redundancy allocation problems when component lifetimes are not only heterogeneous but also dependent. The two common schemes for allocations, that is active and standby redundancies, are considered. ... More

Applications of Derandomization Theory in CodingJul 23 2011Randomized techniques play a fundamental role in theoretical computer science and discrete mathematics, in particular for the design of efficient algorithms and construction of combinatorial objects. The basic goal in derandomization theory is to eliminate ... More

Noise-Resilient Group Testing: Limitations and ConstructionsNov 17 2008Jul 22 2011We study combinatorial group testing schemes for learning $d$-sparse Boolean vectors using highly unreliable disjunctive measurements. We consider an adversarial noise model that only limits the number of false observations, and show that any noise-resilient ... More

Introduction to Experimental Quantum Measurement with Superconducting QubitsApr 19 2019Quantum technology has been rapidly growing due to its potential revolutionary applications. In particular, superconducting qubits provide a strong light-matter interaction as required for quantum computation and in principle can be scaled up to a high ... More

Explicit expressions for European option pricing under a generalized skew normal distributionJul 30 2017Under a generalized skew normal distribution we consider the problem of European option pricing. Existence of the martingale measure is proved. An explicit expression for a given European option price is presented in terms of the cumulative distribution ... More

Doubly Stochastic Adversarial AutoencoderJul 19 2018Any autoencoder network can be turned into a generative model by imposing an arbitrary prior distribution on its hidden code vector. Variational Autoencoder (VAE) [2] uses a KL divergence penalty to impose the prior, whereas Adversarial Autoencoder (AAE) ... More

Statistical Inference for Mixture of Cauchy DistributionsSep 15 2018The class of $\alpha$-stable distributions received much interest for modelling impulsive phenomena occur in engineering, economics, insurance, and physics. The lack of non-analytical form for probability density function is considered as the main obstacle ... More

Goodness-of-fit tests for weibull populations on the basis of recordsOct 25 2011Record is used to reduce the time and cost of running experiments (Doostparast and Balakrishnan, 2010). It is important to check the adequacy of models upon which inferences or actions are based (Lawless, 2003, Chapter 10, p. 465). In the area of goodness ... More

The character graph of a finite group is perfectJul 30 2019For a finite group $G$, let $\Delta(G)$ denote the character graph built on the set of degrees of the irreducible complex characters of $G$. In graph theory, a perfect graph is a graph $\Gamma$ in which the chromatic number of every induced subgraph $\Delta$ ... More

A Continuous Optimization Approach for the Financial Portfolio Selection under Discrete Asset Choice ConstraintsApr 12 2014In this paper we consider a generalization of the Markowitz's Mean-Variance model under linear transaction costs and cardinality constraints. The cardinality constraints are used to limit the number of assets in the optimal portfolio. The generalized ... More

Capacity Achieving Codes From Randomness CondensersJan 13 2009Jul 22 2011We establish a general framework for construction of small ensembles of capacity achieving linear codes for a wide range of (not necessarily memoryless) discrete symmetric channels, and in particular, the binary erasure and symmetric channels. The main ... More

Inclusion of $Λ^{\#} BV^{(p)}$ spaces in the classes $BV(q(n)\uparrow \infty)$Oct 03 2011Feb 20 2015The multivariable version of Waterman-Shiba classes and $BV(q(n)\uparrow \infty)$ are introduced. Also characterization of the inclusion of multivariable Waterman-Shiba classes into classes of functions multivariable $BV(q(n)\uparrow \infty)$ is given. ... More

Adaptive Variational Particle Filtering in Non-stationary EnvironmentsJul 19 2018Online convex optimization is a sequential prediction framework with the goal to track and adapt to the environment through evaluating proper convex loss functions. We study efficient particle filtering methods from the perspective of such a framework. ... More

Spectrum accessing optimization in congestion times in radio cognitive networks based on chaotic neural networksJul 18 2018Based on the theory of the Federal Communications Commission, the spectrum available on cognitive radio networks is limit and the non-optimal use of the spectrum necessitates the need for a telecommunications model, so that this pattern can exploit the ... More

Named Entity Sequence ClassificationDec 06 2017Named Entity Recognition (NER) aims at locating and classifying named entities in text. In some use cases of NER, including cases where detected named entities are used in creating content recommendations, it is crucial to have a reliable confidence level ... More

Complexity growth rate during phase transitionsAug 24 2018Oct 23 2018We present evidences for the connection between the potential of different fields and complexity growth rates both in conformal and confining cases. By studying different models, we also establish a strong connection between phase transitions and the ... More

Accurate automatic segmentation of retina layers with emphasis on first layerJan 25 2015Feb 15 2015Quantification of intra-retinal boundaries in optical coherence tomography (OCT) is a crucial task for studying and diagnosing neurological and ocular diseases. Since manual segmentation of layers is usually a time consuming task and relay on user, a ... More

Orthogonal bases of Brauer relative symmetric polynomials for the the Dicyclic groupSep 12 2011Feb 20 2015In this paper, we discuss O-basis of symmetry classes of polynomials associated with the Brauer character of the Dicyclic group. Also, necessary and sufficient conditions are given for the existence of an orthogonal basis consisting of standard (decomposable) ... More

Automated Classification of ELODIE Stellar Spectral Library Using Probabilistic Artificial Neural NetworksApr 17 2008A Probabilistic Neural Network model has been used for automated classification of ELODIE stellar spectral library consisting of about 2000 spectra into 158 known spectro-luminosity classes. The full spectra with 561 flux bins and a PCA reduced set of ... More

Matrix Theory for the DLCQ of Type IIB String Theory on the AdS/Plane-waveJan 06 2007Jul 30 2007We propose a recipe to construct the DLCQ Hamiltonian of type IIB string theory on the AdS (and/or plane-wave) background. We consider a system of J number of coincident unstable non-BPS D0-branes of IIB theory in the light-cone gauge and on the plane-wave ... More

When Higgs Meets Starobinsky in the Early UniverseOct 07 2014Nov 20 2014The measurement of the Higgs mass at the LHC has confirmed that the Standard Model electroweak vacuum is a shallow local minimum and is not absolutely stable. In addition to a probable unacceptably fast tunneling to the deep true minimum, it is not clear ... More

Energy Efficiency Maximization in mmWave Wireless Networks with 3D BeamformingNov 18 2018Dec 04 2018In this paper, we address the problem of three dimensional beamforming in millimeter wave (mmWave) wireless networks. In particular, we study the impact of base station (BS) antenna tilt angle optimization on the energy efficiency (EE) of mmWave networks ... More

MPS: An R package for modelling new families of distributionsSep 09 2018We introduce an \verb|R| package, called \verb|MPS|, for computing the probability density function, computing the cumulative distribution function, computing the quantile function, simulating random variables, and estimating the parameters of 24 new ... More

Cruise Missile Target Trajectory Movement Prediction based on Optimal 3D Kalman Filter with Firefly AlgorithmJul 18 2018It is hoped that there will never be a war in the world, but one of the defensive requirements of any country during the war is the missiles used for destruction and defense. Todays, missiles movement from origin to destination is an important problem ... More

Statistical Inference for Stable Distribution Using EM algorithmNov 12 2018The class of $\alpha$-stable distributions with a wide range of applications in economics, telecommunications, biology, applied, and theoretical physics. This is due to the fact that it possesses both the skewness and heavy tails. Since $\alpha$-stable ... More

Capacity Upper Bounds for Deletion-Type ChannelsNov 05 2017Jun 11 2018We develop a systematic approach, based on convex programming and real analysis, for obtaining upper bounds on the capacity of the binary deletion channel and, more generally, channels with i.i.d. insertions and deletions. Other than the classical deletion ... More

The catenary and tame degree of numerical monoids generated by generalized arithmetic sequencesJan 11 2010Jan 14 2010Studying ceratin combinatorial properties of non-unique factorizations have been a subject of recent literatures. Little is known about two combinatorial invariants, namely the catenary degree and the tame degree, even in the case of numerical monoids. ... More

Beyond AdS Space-times, New Holographic Correspondences and ApplicationsSep 14 2016To describe Lifshitz and hyperscaling violating (HSV) phenomena in CM one uses gauge fields on the gravity side which naturally realize the breaking of Lorentz invariance. These gravity constructions often contain naked singularities. In this thesis, ... More

Inclusion of $ΛBV^{(p)}$ spaces in the classes $H_ω^{q}$Oct 03 2012A characterization of the inclusion of Waterman-Shiba classes into classes of functions with given integral modulus of continuity is given. This corrects and extends an earlier result of a paper from 2005.

On Cosmological Implications of Holographic Entropy BoundAug 14 2012It is argued that the entropy bound places an upper limit of about 1 TeV on the temperature of the last reheating era in the early Universe. Implications for inflation and non-standard paradigms for beyond the standard model of hot cosmology are studied. ... More

Spinor classification of the Weyl tensor in five dimensionsAug 17 2010We investigate the spinor classification of the Weyl tensor in five dimensions due to De Smet. We show that a previously overlooked reality condition reduces the number of possible types in the classification. We classify all vacuum solutions belonging ... More

Improved Constructions for Non-adaptive Threshold Group TestingFeb 10 2010Jan 18 2013The basic goal in combinatorial group testing is to identify a set of up to $d$ defective items within a large population of size $n \gg d$ using a pooling strategy. Namely, the items can be grouped together in pools, and a single measurement would reveal ... More

Accurate Localization in Dense Urban Area Using Google Street View ImageDec 29 2014Accurate information about the location and orientation of a camera in mobile devices is central to the utilization of location-based services (LBS). Most of such mobile devices rely on GPS data but this data is subject to inaccuracy due to imperfections ... More

The perturbation theory of higher dimensional spacetimes a la TeukolskyOct 26 2011We consider the possibility of deriving a decoupled equation in terms of Weyl tensor components for gravitational perturbations of the Schwarzschild-Tangherlini solution. We find a particular gauge invariant component of the Weyl tensor does decouple ... More

Comments on Frequency Diverse Array Antenna Using Time-Modulated Optimized Frequency Offset to Obtain Time-Invariant Spatial Fine Focusing BeampatternMay 11 2018In the recent papers [1-4] including above paper time modulated frequency diverse arrays (FDAs) have been presented to obtain time invariant spatial patterns. The presented FDAs in [1-3] have the feature of time-invariant spatial focusing which means ... More

Polyhomogéniété des métriques compatibles avec une structure de Lie à l'infini le long du flot de RicciJul 09 2019Along the Ricci flow, we study the polyhomogeneity of complete Riemannian metrics endowed with "a Lie structure fibred at infinity", that is, a class of Lie structures at infinity that induce in a precise way a fibre bundle structure on a certain compactification ... More

Deep Neural Networks for Query Expansion using Word EmbeddingsNov 08 2018Query expansion is a method for alleviating the vocabulary mismatch problem present in information retrieval tasks. Previous works have shown that terms selected for query expansion by traditional methods such as pseudo-relevance feedback are not always ... More

Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial TracesFeb 18 2019May 16 2019Website Fingerprinting (WF) is a type of traffic analysis attack that enables a local passive eavesdropper to infer the victim's activity even when the traffic is protected by encryption, a VPN, or some other anonymity system like Tor. Leveraging a deep-learning ... More

Workload-Aware Opportunistic Energy Efficiency in Multi-FPGA PlatformsAug 18 2019The continuous growth of big data applications with high computational and scalability demands has resulted in increasing popularity of cloud computing. Optimizing the performance and power consumption of cloud resources is therefore crucial to relieve ... More

On the adjoint L-function of the p-adic GSp(4)Mar 07 2007Oct 11 2007We explicitly compute the adjoint L-function of those L-packets of representations of the group GSp(4) over a p-adic field of characteristic zero that contain non-supercuspidal representations. As an application we verify a conjecture of Gross-Prasad ... More

Generalized Line Spectral Estimation via Convex OptimizationSep 26 2016Line spectral estimation is the problem of recovering the frequencies and amplitudes of a mixture of a few sinusoids from equispaced samples. However, in a variety of signal processing problems arising in imaging, radar, and localization we do not have ... More

Electron-electron and spin-orbit interactions in armchair graphene ribbonsOct 29 2007The effects of intrinsic spin-orbit and Coulomb interactions on low-energy properties of finite width graphene armchair ribbons are studied by means of a Dirac Hamiltonian. It is shown that metallic states subsist in the presence of intrinsic spin-orbit ... More

Generic Transfer for General Spin GroupsNov 01 2004We prove Langlands functoriality for the generic spectrum of general spin groups (both odd and even). Contrary to other recent instances of functoriality, our resulting automorphic representations on the general linear group will not be self-dual. Together ... More

Gutman index of the Mycielskian and its complementFeb 05 2015In This Paper we determine the Gutman index of Mycielskian graphs and their complements.

Asymptotic analysis of a micropolar fluid flow in a thin domain with a free and rough boundarySep 19 2013Motivated by lubrication problems, we consider a micropolar uid ow in a 2D domain with a rough and free boundary. We assume that the thickness and the roughness are both of order 0 < " << 1. We prove the existence and uniqueness of a solution of this ... More

Multiple-Antenna Interference Channel with Receive Antenna Joint Processing and Real Interference AlignmentJan 27 2013We consider a constant $K$-user Gaussian interference channel with $M$ antennas at each transmitter and $N$ antennas at each receiver, denoted as a $(K,M,N)$ channel. Relying on a result on simultaneous Diophantine approximation, a real interference alignment ... More

Symmetry classes of tensors associated with the Semi-Dihedral groupsFeb 17 2012Dec 14 2012We discuss the existence of an orthogonal basis consisting of decomposable vectors for some symmetry classes of tensors associated with Semi-Dihedral groups $SD_{8n}$. The dimensions of these symmetry classes of tensors are also computed.

User-Centric Optimization for Constraint Web Service Composition using a Fuzzy-guided Genetic Algorithm SystemOct 12 2012Service-Oriented Applications (SOA) are being regarded as the main pragmatic solution for distributed environments. In such systems, however each service responds the user request independently, it is essential to compose them for delivering a compound ... More

A Bound for the Locating Chromatic Numbers of TreesAug 25 2013Let $f$ be a proper $k$-coloring of a connected graph $G$ and $\Pi=(V_1,V_2,\ldots,V_k)$ be an ordered partition of $V(G)$ into the resulting color classes. For a vertex $v$ of $G$, the color code of $v$ with respect to $\Pi$ is defined to be the ordered ... More

A Space-efficient Parameterized Algorithm for the Hamiltonian Cycle Problem by Dynamic AlgebraziationJan 21 2019An NP-hard graph problem may be intractable for general graphs but it could be efficiently solvable using dynamic programming for graphs with bounded width (or depth or some other structural parameter). Dynamic programming is a well-known approach used ... More

Split Supersymmetry Breaking from Stuckelberg Mixing of Multiple U(1)'sOct 15 2018May 21 2019We show that multiple Abelian sectors with Stuckelberg mass-mixing simply break supersymmetry via Fayet-Iliopoulos D-terms and straightforwardly mediate it to the other sectors. This mechanism naturally realizes a split supersymmetry spectrum for soft ... More

Towards moderate overparameterization: global convergence guarantees for training shallow neural networksFeb 12 2019Many modern neural network architectures are trained in an overparameterized regime where the parameters of the model exceed the size of the training dataset. Sufficiently overparameterized neural network architectures in principle have the capacity to ... More

Fast and Reliable Parameter Estimation from Nonlinear ObservationsOct 23 2016In this paper we study the problem of recovering a structured but unknown parameter ${\bf{\theta}}^*$ from $n$ nonlinear observations of the form $y_i=f(\langle {\bf{x}}_i,{\bf{\theta}}^*\rangle)$ for $i=1,2,\ldots,n$. We develop a framework for characterizing ... More

On additivity of local entropy under flat extensionsApr 06 2014Sep 08 2014Let $f\colon(R,\mathfrak{m})\rightarrow S$ be a local homomorphism of Noetherian local rings. Consider two endomorphisms \textit{of finite length} (i.e., with zero-dimensional closed fibers) $\varphi\colon R\rightarrow R$ and $\psi\colon S\rightarrow ... More

Geometric Adaptive Control with Neural Networks for a Quadrotor UAV in Wind fieldsMar 05 2019This paper proposes a geometric adaptive controller for a quadrotor unmanned aerial vehicle with artificial neural networks. It is assumed that the dynamics of a quadrotor is disturbed by arbitrary, unstructured forces and moments caused by wind. To address ... More

Global existence for a 3D non-stationary Stokes flow with Coulomb's type friction boundary conditionsJul 06 2016In this paper we study non stationary viscous incompressible fluid flows with nonlinear boundary slip conditions given by a subdifferential property of friction type. More precisely we assume that the tangential velocity vanishes as long as the shear ... More

Iris Recognition for Personal Identification using LAMSTAR neural networkJul 28 2019Iris recognition is one of the most important biometric recognition method. This is because the iris texture provides many features such as freckles, coronas, stripes, furrows, crypts, etc. Those features are unique for different people and distinguishable. ... More

Non-Malleable Coding Against Bit-wise and Split-State TamperingSep 04 2013Aug 29 2014Non-malleable coding, introduced by Dziembowski, Pietrzak and Wichs (ICS 2010), aims for protecting the integrity of information against tampering attacks in situations where error-detection is impossible. Intuitively, information encoded by a non-malleable ... More

Generic transfer from GSp(4) to GL(4)Dec 27 2004Jan 03 2005We establish Langlands functoriality for the generic spectrum of GSp(4) and describe its transfer on GL(4). We apply this to prove results toward the generalized Ramanujan conjecture for generic representations of GSp(4).

Nearly Optimal Deterministic Algorithm for Sparse Walsh-Hadamard TransformApr 28 2015For every fixed constant $\alpha > 0$, we design an algorithm for computing the $k$-sparse Walsh-Hadamard transform of an $N$-dimensional vector $x \in \mathbb{R}^N$ in time $k^{1+\alpha} (\log N)^{O(1)}$. Specifically, the algorithm is given query access ... More

Orthogonal bases of Brauer symmetry classes of tensors for groups having cyclic support on non-linear Brauer charactersFeb 19 2015Jul 25 2015This paper provides some properties of Brauer symmetry classes of tensors. We derive a dimension formula for the orbital subspaces in the Brauer symmetry classes of tensors corresponding to the irreducible Brauer characters of the groups having cyclic ... More

Quantum spin Hall phase in neutral zigzag graphene ribbonsOct 11 2009We present a detailed description of the nature of the wavefunction and spin distribution of the zero energy modes of zigzag graphene ribbons (ZGRs) in the presence of the intrinsic spin_orbit (I-SO) interaction. These states characterize the quantum ... More

Existence result for a strongly coupled problem with heat convection term and Tresca's lawSep 19 2013We study a problem describing the motion of an incompressible, nonisothermal and non-Newtonian uid, taking into account the heat convection term. The novelty here is that uid viscosity depends on the temperature, the velocity of the uid, and also of the ... More

Deploying Customized Data Representation and Approximate Computing in Machine Learning ApplicationsJun 03 2018Major advancements in building general-purpose and customized hardware have been one of the key enablers of versatility and pervasiveness of machine learning models such as deep neural networks. To sustain this ubiquitous deployment of machine learning ... More

Robust Stabilization of Fractional-order Interval Systems via Dynamic Output Feedback: An LMI ApproachJul 25 2018This paper addresses the problem of robust dynamic output stabilization of FO-LTI interval systems with the fractional order 0<{\alpha}<2, in terms of linear matrix inequalities (LMIs). Our purpose is to design a robust dynamic output feedback controller ... More

Disjoint LDPC Coding for Gaussian Broadcast ChannelsJun 15 2009Low-density parity-check (LDPC) codes have been used for communication over a two-user Gaussian broadcast channel. It has been shown in the literature that the optimal decoding of such system requires joint decoding of both user messages at each user. ... More

Cryptanalysis of Khatoon et al.'s ECC-based Authentication Protocol for Healthcare SystemsJun 20 2019Telecare medical information systems are gaining rapid popularity in terms of providing the delivery of online health-related services such as online remote health profile access for patients and doctors. Due to being installed entirely on Internet, these ... More

A Cuspidality Criterion for the Exterior Square Transfer of Cusp Forms on GL(4)Dec 28 2007For a cuspidal automorphic representation \Pi of GL(4,A), H. Kim proved that the exterior square transfer \wedge^2\Pi is an isobaric automorphic representation of GL(6,A). In this paper we characterize those representations \Pi for which \wedge^2\Pi is ... More

Hamiltonian structure of three-dimensional gravity in Vielbein formalismApr 03 2017Feb 05 2018Considering Chern-Simons like gravity theories in three dimensions as first order systems, we analyze the Hamiltonian structure of three theories Topological massive gravity, New massive gravity, and Zwei-Dreibein Gravity.We show that these systems demonstrate ... More

On linear ternary Intersection sequences and their propertiesSep 12 2017Let $D^+$ be the first octant of the Euclidean space and consider the integral cube grid $G$ in $D^+$. The intersections of each line with $G$ form an infinite sequence of three letters which can be considered as an extension of well-known Sturmian words. ... More

Evaluation of the $B^+_c\rightarrow D^0K^+$ decay by the factorization approaches and applying the effects of the final state interactionJul 20 2019In this paper the decay of $B^+_c$ meson, consisting of two b and c heavy quarks, into the $D^0$ and $K^+$ mesons is studied. Given that the experimental branching ratio for this decay is within the range of $3.72\times 10^{-5}$ to $11.16\times10^{-5}$ ... More

Efficient unimodality test in clustering by signature testingJan 09 2014This paper provides a new unimodality test with application in hierarchical clustering methods. The proposed method denoted by signature test (Sigtest), transforms the data based on its statistics. The transformed data has much smaller variation compared ... More

Multiple-Antenna Interference Network with Receive Antenna Joint Processing and Real Interference AlignmentApr 16 2013Feb 17 2014In this paper, the degrees of freedom (DoF) regions of constant coefficient multiple antenna interference channels are investigated. First, we consider a $K$-user Gaussian interference channel with $M_k$ antennas at transmitter $k$, $1\le k\le K$, and ... More

Orthogonal bases of Brauer relative symmetric polynomials for certain groupsSep 11 2011Feb 20 2015In this paper, we discuss O-basis of symmetry classes of polynomials associated with the Brauer character of the Semi-Dihedral groups and Dihedral groups. Also, necessary and sufficient conditions are given for the existence of an orthogonal basis consisting ... More

Mixed-Membership Stochastic Block-Models for Transactional NetworksOct 07 2010Transactional network data can be thought of as a list of one-to-many communications(e.g., email) between nodes in a social network. Most social network models convert this type of data into binary relations between pairs of nodes. We develop a latent ... More

Rash spin-orbit interaction in graphene and graphene zigzag nano-ribbonsJan 01 2009May 08 2009We investigate the effects of Rashba spin-orbit interactions on the electronic band-structure and corresponding wave-functions of graphene. By exactly solving a tight-binding model Hamiltonian we obtain the expected splitting of the bands -due to the ... More

Approximate global minimizers to pairwise interaction problems via convex relaxationNov 11 2015We present a new approach for systematically computing approximate global minimizers to a large class of pairwise interaction problems defined over probability distributions. The approach predicts candidate global minimizers, with a recovery guarantee, ... More

An Intelligent Fire Alert System using Wireless Mobile CommunicationAug 01 2013The system has come to light through the way of inspiration to develop a compact system, based on the fundamental ideas of safety, security and control. Once this system is installed to operation specifying temperature and smoke threshold, in case of ... More

Throughput-Optimal Random Access with Order-Optimal DelaySep 29 2010In this paper, we consider CSMA policies for scheduling of multihop wireless networks with one-hop traffic. The main contribution of this paper is to propose Unlocking CSMA (U-CSMA) policy that enables to obtain high throughput with low (average) packet ... More

$A_p$-$A_\infty$ estimates for general multilinear sparse operatorsAug 25 2015Dec 09 2015In this paper, we study the $A_p$-$A_\infty$ estimates for a class of multilinear dyadic positive operators. As applications, the $A_p$-$A_\infty$ estimates for different operators e.g. multilinear square functions and multilinear Fourier multipliers ... More

On Optimal Decision-Making in Ant ColoniesAug 19 2014Colonies of ants can collectively choose the best of several nests, even when many of the active ants who organize the move visit only one site. Understanding such a behavior can help us design efficient distributed decision making algorithms. Marshall ... More

Finding Sequential Patterns from Large Sequence DataFeb 05 2010Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mining, and sequential pattern mining. Sequential pattern mining finds sets ... More