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Missouri University of Science and Technology

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Articles 871 - 900 of 1938

Full-Text Articles in Computer Sciences

An Energy Efficient Framework For Localization And Coverage In Participatory Urban Sensing, Adnan Khan, Sk Kajal Arefin Imon, Sajal K. Das Oct 2014

An Energy Efficient Framework For Localization And Coverage In Participatory Urban Sensing, Adnan Khan, Sk Kajal Arefin Imon, Sajal K. Das

Computer Science Faculty Research & Creative Works

Participatory sensing is an approach to data collection where individuals use their smartphones to capture different scenarios, and upload to a server to create knowledge. A fundamental issue in such data collection process is the coverage of the collected data that reflects how well the targeted area is monitored. To ensure coverage requirements, the traditional approaches require the server to know the location of the participating mobile devices that takes significant amount of energy. In this paper, we propose a novel framework called PLUS for data collection in participatory sensing ensuring partial coverage, where a mobile device does not send …

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A Cross Layer Routing Scheme For Passive Rfid Tag-To-Tag Communication, Haifeng Niu, S. Jagannathan Oct 2014

A Cross Layer Routing Scheme For Passive Rfid Tag-To-Tag Communication, Haifeng Niu, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

A routing protocol for Passive RFID tag-to-tag networks is not reported in contrast with routing protocols for battery powered mobile wireless ad hoc and sensor networks. In this paper, we provide a cross-layer approach for passive RFID tag-to-tag communication. In the data link layer, we designed the medium access control (MAC) protocol which is suitable for passive tag-to-tag communication. In the network layer, we developed the optimal link cost multipath routing (OLCMR) protocol by using modulation depth as the link cost. Simulation results verify that proposed routing protocol consumes less energy when it is compared to optimum link state routing …

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Effect: An Energy Efficient Framework For Data Compression In Tree-Based Wireless Sensor Networks, Sk Kajal Arefin Imon, Adnan Khan, Sajal K. Das Oct 2014

Effect: An Energy Efficient Framework For Data Compression In Tree-Based Wireless Sensor Networks, Sk Kajal Arefin Imon, Adnan Khan, Sajal K. Das

Computer Science Faculty Research & Creative Works

Periodic data collection is an important application in wireless sensor networks (WSNs). Since sensors are power constrained, building energy efficient data collection topology offers significant challenge. Compression of correlated data is one of the widely used techniques in WSNs where sensory data are compressed along their routes toward the sink. Consequently, a data compression tree is formed in which a sensor (say, child) selects its parent based on the degree of correlation among their sensed data, and the data of the child node is compressed at the parent node. In periodic data collection, the data collected by individual sensors can …

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Fides: A Trust-Based Framework For Secure User Incentivization In Participatory Sensing, Francesco Restuccia, Sajal K. Das Oct 2014

Fides: A Trust-Based Framework For Secure User Incentivization In Participatory Sensing, Francesco Restuccia, Sajal K. Das

Computer Science Faculty Research & Creative Works

Participatory sensing (PS) has recently attracted tremendous attention given its potential for a wide variety of sensing applications. Due to the fact that PS systems rely completely on the data provided by the users, incentivizing users' active participation while guaranteeing data reliability is paramount to effectively employ PS systems in practical scenarios. In this paper, we first define a set of attacks which compromise data reliability of existing PS applications. Next, we propose a scalable and secure trust-based framework, called FIDES, which relies on the concept of mobile security agents (MSAs) and Jsang's trust model to rule out incorrect reports …

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Efficient And Secure Code Dissemination In Sensor Clouds, Vimal Kumar, Sanjay Kumar Madria Oct 2014

Efficient And Secure Code Dissemination In Sensor Clouds, Vimal Kumar, Sanjay Kumar Madria

Computer Science Faculty Research & Creative Works

In this paper, we present an efficient and secure code dissemination technique aimed at sensor clouds. Previous code dissemination techniques were geared toward traditional wireless sensor networks. They did not take into account, the dynamic nature of a sensor cloud, where the applications running on the motes may not just be updated but changed completely in successive code disseminations. The technique presented in this paper is based upon the observation that a large amount of code is common between applications in wireless sensor networks. Our technique first discovers the code common across various wireless sensor applications. It then distributes this …

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E-Vet: Economic Reward/Penalty-Based System For Vehicular Traffic Management, Nilesh Padhariya, Ouri Wolfson, Anirban Mondal, Varun Gandhi, Sanjay Kumar Madria Oct 2014

E-Vet: Economic Reward/Penalty-Based System For Vehicular Traffic Management, Nilesh Padhariya, Ouri Wolfson, Anirban Mondal, Varun Gandhi, Sanjay Kumar Madria

Computer Science Faculty Research & Creative Works

We propose the E-VeT system for efficient vehicular traffic management in road networks using economy-based reward/penalty schemes. In E-VeT, base stations collaboratively facilitate dynamic vehicular route assignments for reducing the traffic congestion, average time of arrival and fuel consumption. The main contributions of this work are two-fold. First, it proposes an R2A (Revenue-based Route Allocation) scheme, which rewards vehicles for following system-assigned longer-time paths, and charges a fee for following system-assigned shorter-time paths. Furthermore, it penalizes vehicles for any deviations from the system-assigned paths. Second, it discusses a route allocation algorithm, which gives lesser-time paths as a preference to vehicles …

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Dynamic Content And Route Management In Wireless Networks, Sanjay Kumar Madria, Anirban Mondal, Tridib Mukherjee Oct 2014

Dynamic Content And Route Management In Wireless Networks, Sanjay Kumar Madria, Anirban Mondal, Tridib Mukherjee

Computer Science Faculty Research & Creative Works

Significant advances in wireless and mobile technologies have been witnessed over the past decade. The ever-increasing prevalence and proliferation of mobile devices coupled with the popularity of social networking and increasingly technology-savvy residents have fueled the growth of mobile crowdsourcing and participatory sensing. This has catalyzed the growth of new-age applications, which necessitate dynamic management of information as well as content in wireless networks of different types such as Mobile Peer-to-Peer (MP2P), Vehicle-to-Vehicle (V2V) and Delay-Tolerant Networks (DTNs).

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Enhanced Rare-Region Effects In The Contact Process With Long-Range Correlated Disorder, Ahmed K. Ibrahim, Hatem Barghathi, Thomas Vojta Oct 2014

Enhanced Rare-Region Effects In The Contact Process With Long-Range Correlated Disorder, Ahmed K. Ibrahim, Hatem Barghathi, Thomas Vojta

Physics Faculty Research & Creative Works

We investigate the nonequilibrium phase transition in the disordered contact process in the presence of long-range spatial disorder correlations. These correlations greatly increase the probability for finding rare regions that are locally in the active phase while the bulk system is still in the inactive phase. Specifically, if the correlations decay as a power of the distance, the rare-region probability is a stretched exponential of the rare-region size rather than a simple exponential as is the case for uncorrelated disorder. As a result, the Griffiths singularities are enhanced and take a non-power-law form. The critical point itself is of infinite-randomness …

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Investigating The Fractal Nature Of Individual User Netflow Data, Levi Malott, Sriram Chellappan Sep 2014

Investigating The Fractal Nature Of Individual User Netflow Data, Levi Malott, Sriram Chellappan

Computer Science Faculty Research & Creative Works

Modeling and characterizing Internet traffic has been a widely studied problem since the conception of the Internet. The self-similar, bursty nature of the traffic has led to a number of conventional statistical models that unfortunately provide relatively weak modeling power. Recently, fractal analysis techniques have emerged to better characterize and model Internet traffic data. However, past research studies have focused on describing and quantifying the fractal nature of Internet traffic on user groups, instead of a single user. In this paper the authors investigate the issue of individual users exhibiting fractal (self-similar behavior) behavior across multiple application types. Using real …

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E-Darwin: Energy Aware Disaster Recovery Network Using Wifi Tethering, Mayank Raj, Krishna Kant, Sajal K. Das Sep 2014

E-Darwin: Energy Aware Disaster Recovery Network Using Wifi Tethering, Mayank Raj, Krishna Kant, Sajal K. Das

Computer Science Faculty Research & Creative Works

In this paper, we propose a novel architecture called Energy Aware Disaster Recovery Network using Wi-Fi Tethering (E-DARWIN). The underlying idea is to make use of Wi-Fi Tethering technology ubiquitously available on wireless devices, like smartphones and tablets, to set up an ad hoc network for data collection in disaster scenarios. To this end, we design novel mechanisms, which aid in autonomous creation of the ad hoc network, distribution of data capturing task among the devices, and collection of data with minimum delay. Specifically, we design and implement a distributed coalition formation game for distributing the data capturing task among …

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Dmctcp: Desynchronized Multi-Channel Tcp For High Speed Access Networks With Tiny Buffers, Cheng Cui, Lin Xue, Chui Hui Chiu, Praveenkumar Kondikoppa, Seung Jong Park Sep 2014

Dmctcp: Desynchronized Multi-Channel Tcp For High Speed Access Networks With Tiny Buffers, Cheng Cui, Lin Xue, Chui Hui Chiu, Praveenkumar Kondikoppa, Seung Jong Park

Computer Science Faculty Research & Creative Works

The past few years have witnessed debate on how to improve link utilization of high-speed tiny-size buffer routers. Widely argued proposals for TCP traffic to realize acceptable link capacities mandate: (i) over-provisioned core link bandwidth; and (ii) non-bursty flows; and (iii) tens of thousands of asynchronous flows. However, in high-speed access networks where flows are bursty, sparse and synchronous, TCP traffic suffer severely from routers with tiny buffers. We propose a new congestion control algorithm called Desyn-chronized Multi-Channel TCP (DMCTCP) that creates a flow with multiple channels. It avoids TCP loss synchronization by desynchronizing channels, and it avoids sending rate …

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Performance Analysis Of Real-Time Traffic Over 802.11n Wireless Local Area Networks: An Experimental Study, John Podolanko, Sajib Datta, Sajal K. Das Sep 2014

Performance Analysis Of Real-Time Traffic Over 802.11n Wireless Local Area Networks: An Experimental Study, John Podolanko, Sajib Datta, Sajal K. Das

Computer Science Faculty Research & Creative Works

In this paper, we describe a practical model of analyzing the performance of 802.11n Wireless Local Area Networks (WLANs) carrying real-time voice over IP (VoIP) traffic. In particular, we determine the response-time and packet loss of client nodes using traffic generators and network monitors. We demonstrate that there exists a correlation between the number of VoIP calls on a WLAN and the response time and packet loss between the nodes. We also determine maximum number of calls that can be handled on a WLAN before call quality is degraded. In addition, we calculate bandwidth utilization of the WLAN based on …

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Quantification Of Information Flow In A Smart Grid, Li Feng, Bruce Mcmillin Sep 2014

Quantification Of Information Flow In A Smart Grid, Li Feng, Bruce Mcmillin

Computer Science Faculty Research & Creative Works

The key to computer security is the notion of information flow. Information flow occurs either explicitly or implicitly in a system. In cyber-physical systems (CPSs), complicated interactions occur frequently between computational components and physical components. Thus, detecting and quantifying information flow in these systems is more difficult than it is in purely cyber systems. In CPSs, failures and attacks are either from the physical infrastructure, or from cyber part of data management and communication protocol, or a combination of both. As the physical infrastructure is inherently observable, aggregated physical observations can lead to unintended cyber information leakage. The computational portion …

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Efficient Caching And Incrementalization Of Object Queries On Collections In Programming Codes, Venkata Krishna Suhas Nerella, Sanjay Madria, Thomas Weigert Sep 2014

Efficient Caching And Incrementalization Of Object Queries On Collections In Programming Codes, Venkata Krishna Suhas Nerella, Sanjay Madria, Thomas Weigert

Computer Science Faculty Research & Creative Works

Object oriented programming languages raised the level of abstraction by incorporating first class query constructs explicitly into program codes. These query constructs allow programmers to express operations over collections as object queries. They also provide optimal query execution, utilizing query optimization strategies from the database domain. However, when a query is repeated in the program, it is executed as a new query. Existing approaches, however, such as Java Query Language (JQL), which caches such query constructs on collections have high run time overhead. Therefore, this paper presents an approach to reduce the run time execution of programs involving explicit queries …

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Near Optimal Event-Based Control Of Nonlinear Discrete Time Systems In Affine Form With Measured Input And Output Data, Avimanyu Sahoo, Hao Xu, S. Jagannathan Sep 2014

Near Optimal Event-Based Control Of Nonlinear Discrete Time Systems In Affine Form With Measured Input And Output Data, Avimanyu Sahoo, Hao Xu, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, an event-based near optimal control of uncertain nonlinear discrete time systems is presented by using input-output data and approximate dynamic programming (ADP). The nonlinear system dynamics in affine form are transformed into an input-output form. Then, three neural networks (NN) with event sampled input-output vector are used, namely, the identifier NN to relax the knowledge of the system dynamics, a critic NN to approximate the value function which is the solution to the Hamilton-Jacobi Bellman (HJB) equation, and an actor NN to approximate the optimal control policy, in an online manner without utilizing value or policy iterations. …

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Finite Horizon Stochastic Optimal Control Of Nonlinear Two-Player Zero-Sum Games Under Communication Constraint, Hao Xu, S. Jagannathan Sep 2014

Finite Horizon Stochastic Optimal Control Of Nonlinear Two-Player Zero-Sum Games Under Communication Constraint, Hao Xu, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, the finite horizon stochastic optimal control of nonlinear two-player zero-sum games, referred to as Nonlinear Networked Control Systems (NNCS) two-player zero-sum game, between control and disturbance input players in the presence of unknown system dynamics and a communication network with delays and packet losses is addressed by using neuro dynamic programming (NDP). The overall objective being to find the optimal control input while maximizing the disturbance attenuation. First, a novel online neural network (NN) identifier is introduced to estimate the unknown control and disturbance coefficient matrices which are needed in the generation of optimal control input. Then, …

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Phase Transitions On Random Lattices: How Random Is Topological Disorder?, Hatem Barghathi, Thomas Vojta Sep 2014

Phase Transitions On Random Lattices: How Random Is Topological Disorder?, Hatem Barghathi, Thomas Vojta

Physics Faculty Research & Creative Works

We study the effects of topological (connectivity) disorder on phase transitions. We identify a broad class of random lattices whose disorder fluctuations decay much faster with increasing length scale than those of generic random systems, yielding a wandering exponent of ω = (d−1)/(2d) in d dimensions. The stability of clean critical points is thus governed by the criterion (d+1)ν > 2 rather than the usual Harris criterion dν > 2, making topological disorder less relevant than generic randomness. The Imry-Ma criterion is also modified, allowing first-order transitions to survive in all dimensions d > 1. These results explain a host of puzzling violations …

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Stochastic Optimal Design For Unknown Linear Discrete-Time System Zero-Sum Games In Input-Output Form Under Communication Constraints, Hao Xu, S. Jagannathan, F. L. Lewis Sep 2014

Stochastic Optimal Design For Unknown Linear Discrete-Time System Zero-Sum Games In Input-Output Form Under Communication Constraints, Hao Xu, S. Jagannathan, F. L. Lewis

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, stochastic optimal strategy for unknown linear discrete-time system quadratic zero-sum games in input-output form with communication imperfections such as network-induced delays and packet losses, otherwise referred to as networked control system (NCS) zero-sum games, relating to the H∞ optimal control problem is solved in a forward-in-time manner. First, the linear discrete-time zero sum state space representation is transformed into a linear NCS in the state space form after incorporating random delays and packet losses and then into the input-output form. Subsequently, the stochastic optimal approach, referred to as adaptive dynamic programming (ADP), is introduced which estimates the …

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Strong-Disorder Magnetic Quantum Phase Transitions: Status And New Developments, Thomas Vojta Sep 2014

Strong-Disorder Magnetic Quantum Phase Transitions: Status And New Developments, Thomas Vojta

Physics Faculty Research & Creative Works

This article reviews the unconventional effects of random disorder on magnetic quantum phase transitions, focusing on a number of new experimental and theoretical developments during the last three years. On the theory side, we address smeared quantum phase transitions tuned by changing the chemical composition, for example in alloys of the type A1-xBx. We also discuss how the interplay of order parameter conservation and overdamped dynamics leads to enhanced quantum Griffiths singularities in disordered metallic ferromagnets. Finally, we discuss a semiclassical theory of transport properties in quantum Griffiths phases. Experimental examples include the ruthenates Sr1-x …

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Theoretical/Experimental Comparison Of Deep Tunneling Decay Of Quasi-Bound H(D)Oco To H(D) + Co₂, Albert F. Wagner, Richard Dawes, Robert Continetti, Hua Guo Aug 2014

Theoretical/Experimental Comparison Of Deep Tunneling Decay Of Quasi-Bound H(D)Oco To H(D) + Co₂, Albert F. Wagner, Richard Dawes, Robert Continetti, Hua Guo

Chemistry Faculty Research & Creative Works

The measured H(D)OCO survival fractions of the photoelectron-photofragment coincidence experiments by the Continetti group are qualitatively reproduced by tunneling calculations to H(D) + CO2 on several recent ab initio potential energy surfaces for the HOCO system. the tunneling calculations involve effective one-dimensional barriers based on steepest descent paths computed on each potential energy surface. the resulting tunneling probabilities are converted into H(D)OCO survival fractions using a model developed by the Continetti group in which every oscillation of the H(D)-OCO stretch provides an opportunity to tunnel. Four different potential energy surfaces are examined with the best qualitative agreement with experiment …

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Seismic Imaging Of Mantle Transition Zone Discontinuities Beneath The Northern Red Sea And Adjacent Areas, A. A. Mohamed, Stephen S. Gao, A. A. Elsheikh, Kelly H. Liu, Youqiang Yu, R. E. Fat-Helbary Aug 2014

Seismic Imaging Of Mantle Transition Zone Discontinuities Beneath The Northern Red Sea And Adjacent Areas, A. A. Mohamed, Stephen S. Gao, A. A. Elsheikh, Kelly H. Liu, Youqiang Yu, R. E. Fat-Helbary

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The dramatic asymmetry in terms of surface elevation, Cenozoic volcanisms and earthquake activity across the Red Sea is an enigmatic issue in global tectonics, partially due to the unavailability of broad-band seismic data on the African Plate adjacent to the Red Sea. Here, we report the first comprehensive image of the mantle transition zone (MTZ) discontinuities using data from the Egyptian National Seismic Network, and compare the resulting depths of the 410 and 660-km discontinuities with those observed on the Arabian side. Our results show that when a standard earth model is used for time-to-depth conversion, the resulting depth of …

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Mantle Transition Zone Discontinuities Beneath The Contiguous United States, Stephen S. Gao, Kelly H. Liu Aug 2014

Mantle Transition Zone Discontinuities Beneath The Contiguous United States, Stephen S. Gao, Kelly H. Liu

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Using over 310,000 high-quality radial receiver functions recorded by the USArray and other seismic stations in the contiguous United States, the depths of the 410 km and 660 km discontinuities (d410 and d660) are mapped in over 1,000 consecutive overlapping circles with a radius of 1⁰. The average mantle transition zone (MTZ) thickness for both the western and central/eastern U.S. is within 3 km from the global average of 250 km, suggesting an overall normal MTZ temperature beneath both areas. The Pacific Coast Ranges and the southern Basin and Range Province are underlain by a depressed d410, indicating higher-than-normal temperature …

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Effect Of The Center-Of-Mass Approximation On The Scaling Of Electron-Capture Fully Differential Cross Sections, A. L. Harris, Don H. Madison Aug 2014

Effect Of The Center-Of-Mass Approximation On The Scaling Of Electron-Capture Fully Differential Cross Sections, A. L. Harris, Don H. Madison

Physics Faculty Research & Creative Works

We present results for p+He single electron capture and transfer with target excitation using the first Born approximation. The effect of approximating the center of mass of the helium atom and outgoing hydrogen atom at the respective nuclei is explored. Semianalytical results are compared for the calculations with and without the approximation, and it is shown that one must properly account for the center of mass of the atoms. It is also shown that this approximation is the result of the apparent v4 scaling that was previously observed with the four-body transfer with target excitation model.

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Communication: Rigorous Quantum Dynamics Of O + O₂ Exchange Reactions On An Ab Initio Potential Energy Surface Substantiate The Negative Temperature Dependence Of Rate Coefficients, Yaqin Li, Zhigang Sun, Bin Jiang, Daiqian Xie, Richard Dawes, Hua Guo Aug 2014

Communication: Rigorous Quantum Dynamics Of O + O₂ Exchange Reactions On An Ab Initio Potential Energy Surface Substantiate The Negative Temperature Dependence Of Rate Coefficients, Yaqin Li, Zhigang Sun, Bin Jiang, Daiqian Xie, Richard Dawes, Hua Guo

Chemistry Faculty Research & Creative Works

The kinetics and dynamics of several O + O2 isotope exchange reactions have been investigated on a recently determined accurate global O3 potential energy surface using a time-dependent wave packet method. The agreement between calculated and measured rate coefficients is significantly improved over previous work. More importantly, the experimentally observed negative temperature dependence of the rate coefficients is for the first time rigorously reproduced theoretically. This negative temperature dependence can be attributed to the absence in the new potential energy surface of a submerged "reef" structure, which was present in all previous potential energy surfaces. In addition, contributions …

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Evidence For Magnetic Clusters In Ni₁₋ₓvₓ Close To The Quantum Critical Concentration, R. Wang, S. Ubaid-Kassis, A. Schroeder, P. J. Baker, F. L. Pratt, S. J. Blundell, T. Lancaster, I. Franke, J. S. Möller, Thomas Vojta Jul 2014

Evidence For Magnetic Clusters In Ni₁₋ₓvₓ Close To The Quantum Critical Concentration, R. Wang, S. Ubaid-Kassis, A. Schroeder, P. J. Baker, F. L. Pratt, S. J. Blundell, T. Lancaster, I. Franke, J. S. Möller, Thomas Vojta

Physics Faculty Research & Creative Works

The d-metal alloy Ni1-xVx undergoes a quantum phase transition from a ferromagnetic ground state to a paramagnetic ground state as the vanadium concentration x is increased. We present magnetization, ac-susceptibility and muon-spin relaxation data at several vanadium concentrations near the critical concentration xc ~ 11.6 % at which the onset of ferromagnetic order is suppressed to zero temperature. Below xc, the muon data reveal a broad magnetic field distribution indicative of a long-range ordered ferromagnetic state with spatial disorder. We show evidence of magnetic clusters in the ferromagnetic phase and close to the phase …

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Rare Regions And Griffiths Singularities At A Clean Critical Point: The Five-Dimensional Disordered Contact Process, Thomas Vojta, John Igo, José A. Hoyos Jul 2014

Rare Regions And Griffiths Singularities At A Clean Critical Point: The Five-Dimensional Disordered Contact Process, Thomas Vojta, John Igo, José A. Hoyos

Physics Faculty Research & Creative Works

We investigate the nonequilibrium phase transition of the disordered contact process in five space dimensions by means of optimal fluctuation theory and Monte Carlo simulations. We find that the critical behavior is of mean-field type, i.e., identical to that of the clean five-dimensional contact process. It is accompanied by off-critical power-law Griffiths singularities whose dynamical exponent z' saturates at a finite value as the transition is approached. These findings resolve the apparent contradiction between the Harris criterion, which implies that weak disorder is renormalization-group irrelevant, and the rare-region classification, which predicts unconventional behavior. We confirm and illustrate our theory by …

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Theoretical And Experimental Investigation Of (E, 2e) Ionization Of Argon 3p In Asymmetric Kinematics At Intermediate Energy, Sadek Amami, Melike Ulu, Zehra Nur Ozer, Murat Yavuz, Suay Kazgoz, Mevlut Dogan, Oleg Zatsarinny, Klaus Bartschat, Don H. Madison Jul 2014

Theoretical And Experimental Investigation Of (E, 2e) Ionization Of Argon 3p In Asymmetric Kinematics At Intermediate Energy, Sadek Amami, Melike Ulu, Zehra Nur Ozer, Murat Yavuz, Suay Kazgoz, Mevlut Dogan, Oleg Zatsarinny, Klaus Bartschat, Don H. Madison

Physics Faculty Research & Creative Works

The field of electron-impact ionization of atoms, or (e, 2e), has provided significant detailed information about the physics of collisions. For ionization of hydrogen and helium, essentially exact numerical methods have been developed which can correctly predict what will happen. For larger atoms, we do not have theories of comparable accuracy. Considerable attention has been given to ionization of inert gases and, of the inert gases, argon seems to be the most difficult target for theory. There have been several studies comparing experiment and perturbative theoretical approaches over the last few decades, and generally qualitative but not quantitative agreement is …

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Outsourceable Two-Party Privacy-Preserving Biometric Authentication, Hu Chun, Yousef Elmehdwi, Feng Li, Prabir Bhattacharya, Wei Jiang Jun 2014

Outsourceable Two-Party Privacy-Preserving Biometric Authentication, Hu Chun, Yousef Elmehdwi, Feng Li, Prabir Bhattacharya, Wei Jiang

Computer Science Faculty Research & Creative Works

Biometric authentication, a key component for many secure protocols and applications, is a process of authenticating a user by matching her biometric data against a biometric database stored at a server managed by an entity. If there is a match, the user can log into her account or obtain the services provided by the entity. Privacy-preserving biometric authentication (PPBA) considers a situation where the biometric data are kept private during the authentication process. That is the user's biometric data record is never disclosed to the entity, and the data stored in the entity's biometric database are never disclosed to the …

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Graph-Regularized Dual Lasso For Robust Eqtl Mapping, Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi, Wei Wang Jun 2014

Graph-Regularized Dual Lasso For Robust Eqtl Mapping, Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi, Wei Wang

Computer Science Faculty Research & Creative Works

Motivation: As a promising tool for dissecting the genetic basis of complex traits, expression quantitative trait loci (eQTL) mapping has attracted increasing research interest. An important issue in eQTL mapping is how to effectively integrate networks representing interactions among genetic markers and genes. Recently, several Lasso-based methods have been proposed to leverage such network information. Despite their success, existing methods have three common limitations: (i) a preprocessing step is usually needed to cluster the networks; (ii) the incompleteness of the networks and the noise in them are not considered; (iii) other available information, such as location of genetic markers and …

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Fully Differential Cross Sections For Electron-Impact Excitation-Ionization Of Aligned D₂, Esam Ali, A. L. Harris, J. Lower, E. Weigold, Chuang-Gang Ning, Don H. Madison Jun 2014

Fully Differential Cross Sections For Electron-Impact Excitation-Ionization Of Aligned D₂, Esam Ali, A. L. Harris, J. Lower, E. Weigold, Chuang-Gang Ning, Don H. Madison

Physics Faculty Research & Creative Works

We examine fully differential cross sections for 176 eV electron-impact dissociative excitation-ionization of orientated D2 for transitions to final ion states 2sσg, 2pσu, and 2pπu. In previous work [Phys. Rev. A 88, 062705 (2013)PLRAAN1050-294710.1103/PhysRevA.88.062705], we calculated these cross sections using the molecular four-body distorted wave (M4DW) method with the ground-state D2 wave function being approximated by a product of two Dyson 1s-type orbitals. The theoretical results were compared with experimental measurements for five different orientations of the target molecule (four in the scattering plane and one perpendicular to the scattering plane). For the unresolved …

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