Miracle-dz/UniFAR-FTUs huggingface dataset:
Stabilization, estimation and control of linear dynamical systems with positivity and symmetry constraints

of the Dissertation Stabilization, Estimation and Control of Linear Dynamical Systems with Positivity and Symmetry Constraints by Amirreza Oghbaee Doctor of Philosophy in Electrical Engineering Northeastern University, April 2018 Dr. Bahram Shafai, Advisor Positive systems are rapidly gaining more attention and popularity due to their appearance in numerous applications. The response of these systems to positive initial conditions and inputs remains in the positive orthant of state-space. They offer nice robust stability properties which can be employed to solve several control and estimation problems. Due to their specific structural as well as stability properties, it is of particular interest to solve constrained stabilization and control problems for general dynamical systems such that the closed-loop system admits the same desirable properties. However, positive systems are not the only special class of systems with lucrative features. The class of symmetric systems with eminent stability properties is another important example of structurally constrained systems. It has been recognized that they are appearing combined with the class of positive systems. The positive symmetric systems have found application in diverse area ranging from electromechanical systems, industrial processes and robotics to financial, biological and compartmental systems. This dissertation is devoted to separately analyzing positivity and symmetry properties of two classes of positive and symmetric systems. Based on this analysis, several critical problems concerning the constrained stabilization, estimation and control have been formulated and solved. First, positive stabilization problem with maximum stability radius is tackled and the solution
Työeläkejärjestelmä julkisyksityisenä kumppanuutena : vakiopaineita ja jatkuvuuden haasteita

Author(s): Johanson, Jan-Erik; Sorsa, Ville-Pekka; Oulasvirta, Lasse Title: Työeläkejärjestelmä julkisyksityisenä kumppanuutena : vakiopaineita ja jatkuvuuden haasteita Main work: Julkisen ja yksityisen rajalla : julkisen palvelun muutos Editor(s): Anttonen, Anneli; et al. Year: 2012 Pages: 219-249 ISBN: 978-951-44-8910-5 Publisher: Tampere University Press Discipline: Social policy; Political science; Social and economic geography School /Other Unit: School of Management Item Type: Article in Compiled Work Language: fi URN: URN:NBN:fi:uta-201406091691
Adaptive computation of the Symmetric Nonnegative Matrix Factorization (NMF).

Nonnegative Matrix Factorization (NMF), first proposed in 1994 for data analysis, has received successively much attention in a great variety of contexts such as data mining, text clustering, computer vision, bioinformatics, etc. In this paper the case of a symmetric matrix is considered and the symmetric nonnegative matrix factorization (SymNMF) is obtained by using a penalized nonsymmetric minimization problem. Instead of letting the penalizing parameter increase according to an a priori fixed rule, as suggested in literature, we propose a heuristic approach based on an adaptive technique. Extensive experimentation shows that the proposed algorithm is effective.
Sign control chart based on ranked set sampling

ABSTRACT In this paper, ranked set sampling is proposed for constructing a non-parametric quality control chart based on sign statistic for monitoring the process center when the units are difficult and costly to measure. The characteristics of run length such as average, median and standard deviation are used as criteria to compare two sampling schemes: ranked set sampling and simple random sampling. Cauchy, double exponential and normal distributions are applied to investigate the performance of sign control chart based on studied sampling schemes. The proposed control chart is illustrated with a real data set. The results indicate that when the process starts to get out of control, the chart based on ranked set sampling reduces the run length characteristics values.
High-power high-efficiency 660-nm laser diodes for DVD-R/RW

A kink mechanism in 660-nm laser diodes (LDs) has been studied experimentally. The experiments revealed that the main origin of the kink is a refractive index change due to heat generation in the stripe portion, and the kink power can be increased by improving the temperature characteristics of the LD. A newly developed LD, based on this result, shows stable lateral mode operation up to 190 mW at 80/spl deg/C. This is the highest power recorded among narrow stripe LDs with a wavelength of 660 nm. This LD is suitable for the next generation of high-speed (8x-) DVD-R/RW drives necessitating 140 mW class LDs.
Large Deviations and Fluctuation Theorem for the Quantum Heat Current

We study the heat current flowing between two baths consisting of harmonic oscillators interacting with a qubit through a spin-boson coupling. An explicit expression for the generating function of the total heat flowing between the hot and cold baths is derived by evaluating the corresponding Feynman-Vernon path integral under the non-interacting blip approximation (NIBA). This generating function satisfies the Gallavotti-Cohen fluctuation theorem, both before and after performing the NIBA. We also verify that the heat conductivity is proportional to the variance of the heat current, retrieving the well known fluctuation dissipation relation. Finally, we present numerical results for the heat current.
Sunklodas' approach to normal approximation for time-dependent dynamical systems

We consider time-dependent dynamical systems arising as sequential compositions of self-maps of a probability space. We establish conditions under which the Birkhoff sums for multivarate observations, given a centering and a general normalizing sequence $b(N)$ of invertible square matrices, are approximated by a normal distribution with respect to a metric of regular test functions. Depending on the metric and the normalizing sequence $b(N)$, the conditions imply that the error in the approximation decays either at the rate $O(N^{-1/2})$ or the rate $O(N^{-1/2} \log N)$, under the additional assumption that $\Vert b(N)^{-1} \Vert \lesssim N^{-1/2}$. The error comes with a multiplicative constant whose exact value can be computed directly from the conditions. The proof is based on an observation due to Sunklodas regarding Stein's method of normal approximation. We give applications to one-dimensional random piecewise expanding maps and to sequential, random, and quasistatic intermittent systems.
Optical surface inspection: A novelty detection approach based on CNN-encoded texture features

In inspection systems for textured surfaces, a reference texture is typically known before novel examples are inspected. Mostly, the reference is only available in a digital format. As a consequence, there is no dataset of defective examples available that could be used to train a classifier. We propose a texture model approach to novelty detection. The texture model uses features encoded by a convolutional neural network (CNN) trained on natural image data. The CNN activations represent the specific characteristics of the digital reference texture which are learned by a one-class classifier. We evaluate our novelty detector in a digital print inspection scenario. The inspection unit is based on a camera array and a flashing light illumination which allows for inline capturing of multichannel images at a high rate. In order to compare our results to manual inspection, we integrated our inspection unit into an industrial single-pass printing system.
Long Term Follow-Up and Late Complications of 2-Chlorodeoxyadenosine in Previously Treated , Advanced , Indolent Non-Hodgkin ’ s Lymphoma

Representing a busy flow cytometry laboratory with an annual workload of approximately 1400 acute leukemia and malignant lymphoma cases, we read the article by Naughton et al. with considerable interest. The authors concluded that “flow cytometry of bone marrow aspirates has a limited role in the routine staging and follow-up of patients with an established diagnosis of [non-Hodgkin’s lymphoma] NHL. ” However, this conclusion must be challenged because a number of methodologic flaws and inadequacies in the process, analysis, and interpretation are evident in this study. The authors used Ficoll-Paque (Pharmacia Biotech, Piscataway, NJ) processed specimens rather than recommended erythrocyte lysis. Ficoll-Paque centrifugation of bone marrow aspirates is known to result in the selective loss of some cell populations. This phenomenon is related to the fact that neoplastic lymphoid cells may have a different buoyant density from normal lymphocytes and may not be found where anticipated in the gradient. The authors, possibly unknowingly, thus may have reduced the number of potentially analyzable malignant lymphoid cells in their samples, which may explain a portion of their staged cases with a negative flow result. Single color flow cytometry was used on 81 specimens and two color flow cytometry on the remaining 192 specimens. It currently is widely accepted that even two color flow cytometric analysis is inadequate for an appropriate characterization of hematologic neoplasia and virtually precludes an accurate assessment of minimal residual disease. Five parameter analysis including forward and side scatters accompanied by at least three color analysis should constitute the minimal standard for immunophenotypic analysis of lymphoproliferative diseases, with a sensitivity approaching detection of one malignant cell in 100,000 reactive lymphocytes. The authors make no mention of attempted blockade of cellular Fc receptors. This step is to eliminate the common error of spuriously detecting light chain restriction while in fact observing a phenomenon of passive cytophilic immunoglobulin absorbed onto nonlymphoid B cells. In contrast, failed blockade of Fc receptors on lymphoid cells may lead to false-negative results. Apparently no specific gating strategies were utilized. For increased sensitivity, the routine use of a B-cell gate (CD19 1 lineage gate) is recommended. In addition, application of other unique markers known to be present on subsets of non-Hodgkin’s lymphoma (NHL) and chronic leukemia cells provides added resolution for the assessment of bone marrow involvement. Unique gating strategies should differ based on the type of NHL present at diagnosis (i.e., follicular lymphoma (CD191/CD101), small lymphocytic leukemia/ lymphoma and mantle cell lymphoma (CD191/CD51), etc). This 240
Structure-function correlates of fibrinogen binding by Acinetobacter adhesins critical in catheter-associated urinary tract infections

Recommended Citation Tamadonfar, Kevin O; Di Venanzio, Gisela; Pinkner, Jerome S; Dodson, Karen W; Kalas, Vasilios; Zimmerman, Maxwell I; Bazan Villicana, Jesus; Bowman, Gregory R; Feldman, Mario F; and Hultgren, Scott J, "Structure-function correlates of fibrinogen binding by Acinetobacter adhesins critical in catheterassociated urinary tract infections. " Proceedings of the National Academy of Sciences of the United States of America. 120, 4. e2212694120 (2023). https://digitalcommons.wustl. edu/oa_4/1211
A maximum likelihood estimator for left-truncated lifetimes based on probabilistic prior information about time of occurrence

ABSTRACT In forestry, many processes of interest are binary and they can be modeled using lifetime analysis. However, available data are often incomplete, being interval- and right-censored as well as left-truncated, which may lead to biased parameter estimates. While censoring can be easily considered in lifetime analysis, left truncation is more complicated when individual age at selection is unknown. In this study, we designed and tested a maximum likelihood estimator that deals with left truncation by taking advantage of prior knowledge about the time when the individuals enter the experiment. Whenever a model is available for predicting the time of selection, the distribution of the delayed entries can be obtained using Bayes' theorem. It is then possible to marginalize the likelihood function over the distribution of the delayed entries in the experiment to assess the joint distribution of time of selection and time to event. This estimator was tested with continuous and discrete Gompertz-distributed lifetimes. It was then compared with two other estimators: a standard one in which left truncation was not considered and a second estimator that implemented an analytical correction. Our new estimator yielded unbiased parameter estimates with empirical coverage of confidence intervals close to their nominal value. The standard estimator leaded to an overestimation of the long-term probability of survival.
Convergence of an adaptive finite element DtN method for the elastic wave scattering problem

Consider the scattering of an elastic plane wave by a rigid obstacle, which is immersed in a homogeneous and isotropic elastic medium in two dimensions. Based on a Dirichlet-to-Neumann (DtN) operator, an exact transparent boundary condition is introduced and the scattering problem is formulated as a boundary value problem of the elastic wave equation in a bounded domain. By developing a new duality argument, an a posteriori error estimate is derived for the discrete problem by using the finite element method with the truncated DtN operator. The a posteriori error estimate consists of the finite element approximation error and the truncation error of the DtN operator which decays exponentially with respect to the truncation parameter. An adaptive finite element algorithm is proposed to solve the elastic obstacle scattering problem, where the truncation parameter is determined through the truncation error and the mesh elements for local refinements are chosen through the finite element discretization error. Numerical experiments are presented to demonstrate the effectiveness of the proposed method.
Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000

Developing ways to affordably deliver broadband connectivity is one of the major issues of our time. In challenging deployment locations with irregular terrain, fiber optic or traditional Clear-LineOf-Sight (CLOS) wireless links can be uneconomical to deploy, resulting from the number of required towers making infrastructure deployment unviable. With the emergence of new research focusing on developing wireless diffractive backhaul technologies to provide diffractive Non-Line-Of-Sight (NLOS) links, this paper evaluates the engineering-economic implications of such approaches. To quantify different technology strategies, a Three-Dimensional (3D) techno-economic assessment framework is presented to help prioritize regions for future investment in broadband connectivity, utilizing a combination of remote sensing and viewshed geospatial techniques. Such a method is an essential evaluation step prior to beginning detailed Radio Frequency (RF) Quality of Service engineering but has hitherto received less research attention in the literature. This framework is applied to assess both Clear-Line-Of-Sight and diffractive Non-Line-Of-Sight strategies for deployment in Peru, as well as the islands of Kalimantan and Papua, in Indonesia. The results find that a hybrid strategy combining the use of Clear-Line-Of-Sight and diffractive Non-Line-Of-Sight links produces a 15-43 percent cost-efficiency saving, relative to only using traditional Clear-Line-Of-Sight wireless backhaul links. The codebase is released opensource via the Engineering-Economic Evaluation of Non-Line-of-Sight Backhaul (e3nb) repository. INDEX TERMS Wireless, broadband; techno-economic, backhaul, geospatial.
Timing and Physiological Arousal: Implications for Human Performance

The estimation of time intervals is crucial in the performance of any motoric task, such as hitting a baseball. The timing of the swing is arguably the most important part of the swing, but what if physiological arousal, due to the stress, of the moment alters the batter’s ability to estimate that short interval between the pitch and the swing? There have been a number of models developed to explain how the batter will perform the task, going as far back as the Yerkes-Dodson Law (Yerkes & Dodson, 1908). The purpose of this study is to investigate how physiological arousal will affect an individual’s ability to estimate time intervals and the points where they will over and underestimate time. Participants were placed into a high physiological arousal group, by performing jumping jacks, a resting group (no jumping jacks). Participants were asked to perform a duration reproduction task, performing, or not performing, jumping jacks between each block. The results showed that the elevated physiological arousal in the jumping jack condition resulted in greater overestimation of the durations. These findings have implications for understanding failures in human performance during time sensitive scenarios and provide a basis for developing biofeedback training to help reduce these errors in duration estimation because of elevated physiological arousal.
Explicit Role of Viscosity in Generating Lift

Nomenclature Cd = drag coefficient Cl = lift coefficient Cp = pressure coefficient c = chord length, m D = drag, N F = fluid-mechanic force or aerodynamic force, N fΩ = boundary enstrophy flux, kg ⋅m−2 ⋅ s−3 L = lift, N Lpe = pressure lift, N Lvor = vortex lift, N l = Lamb vector; u ×ω, m ⋅ s−2 N = normal force to the flat plate, N p = pressure, Pa q∞ = freestream dynamic pressure; ρU 2 ∞∕2, Pa Rec = Reynolds number; U∞c∕ν U x = outer flow velocity, m ⋅ s−1 Uref = reference velocity, m ⋅ s−1 U∞ = freestream velocity, m ⋅ s−1 u = fluid velocity, m ⋅ s−1 u x; y = velocity in boundary layer, m ⋅ s−1 x, y = coordinates on the flat plate, m x = normalized coordinate along the flat plate; x∕c α = angle of attack, rad Γg = generalized circulation, m ⋅ s−1 ΔCp = pressure coefficient difference across the flat plate Δp = pressure loading the flat plate, Pa μ = dynamic viscosity of fluid, kg ⋅m−1 ⋅ s−1 ν = kinematic viscosity of fluid, m ⋅ s−1 ρ = fluid density, kg ⋅m−3 τ = skin friction, Pa Ω = enstrophy; jωj2∕2, s−2 ω = vorticity; ∇ × u, s−1
Improved Text-Image Matching by Mitigating Visual Semantic Hubs

The hubness problem widely exists in highdimensional embedding space and is a fundamental source of error for cross-modal matching tasks. In this work, we study the emergence of hubs in Visual Semantic Embeddings (VSE) with application to text-image matching. We introduce novel methods that mitigate hubs during both training and inference. For training, we analyze the pros and cons of two widely adopted optimization objectives and propose a novel hubness-aware loss function. The loss is self-adaptive in the sense that it utilizes local statistics to scale up the weights of “hubs” within a mini-batch. For inference, we propose a heuristic algorithm that imposes hard constraints on the existence of hubs in the predicted graph. It can be combined with previously proposed cross-modal retrieval criterion which together achieve even better performance. We experiment our methods with various configurations of model architectures and datasets. Both the loss function and the heuristic algorithm exhibit surprisingly good robustness and bring consistent improvement on the task of text-image matching across all settings. Specifically, we report results on Flickr30k and MS-COCO datasets that are above the state-of-the-art.
On the Small Count Inflated Poisson Distribution

Floren, Michael. On the Small Count Inflated Poisson Distribution. Published Doctor of Philosophy dissertation, University of Northern Colorado, 2018. Inflated count distributions are used in situations where counts of an underlying distribution of a population are larger than expected by traditional count distributions. One of the most commonly used inflated count distributions is the zero-inflated Poisson distribution. This work demonstrates the construction of a small count inflated Poisson distribution, of which the zero-inflated Poisson distribution is a special case. Model construction and parameter estimation are shown. Simulations analyzing asymptotic properties, group prediction, and count prediction are presented. Conclusions and recommendations for future research are discussed.
An Assessment of SME Competitiveness in Indonesia

The purposes of this study are to analyze source of SME competitiveness in selected industry clusters in Indonesia and to develop a theoretical model of SME competitiveness. This study employs quantitative design with multivariate model. We develop three models of estimation by using multiple regression analysis. Our models are based on Porter Model of Competitiveness (1990) which contains factor condition, demand condition, related and supporting industries and business strategy. Findings in this study idenntify sources of the competitiveness of SME in the level of innovation, entrepreneurship, human capital, financial resources, potential market and business strategy. Limitation of this study lies in the SME model of competitiveness based on cross sectional data which is not feasible for analysis of the dynamic aspect of competitiveness sources. Our findings show that SMEs need government assistance to develop marketing networks and access to financial institutions.
Learn a Fault Prediction Model Run Tests File Bug Report 2 . Diagnose The Bug 3 . Plan Tests Bug Found ? Bug Isolated ?

Modern software projects include automated tests written to check the programs’ functionality. The set of functions invoked by a test is called the trace of the test, and the action of obtaining a trace is called tracing. There are many tracing tools since traces are useful for a variety of software engineering tasks such as test generation, fault localization, and test execution planning. A major drawback in using test traces is that obtaining them, i.e., tracing, can be costly in terms of computational resources and runtime. Prior work attempted to address this in various ways, e.g., by selectively tracing only some of the software components or compressing the trace on-the-fly. However, all these approaches still require building the project and executing the test in order to get its (partial, possibly compressed) trace. This is still very costly in many cases. In this work, we propose a method to predict the trace of each test without executing it, based only on static properties of the test and the tested program, as well as past experience on different tests. This prediction is done by applying supervised learning to learn the relation between various static features of test and function and the likelihood that one will include the other in its trace. Then, we show how to use the predicted traces in a recent automated troubleshooting paradigm called Learn, Diagnose, and Plan (LDP), instead of the actual, costly-to-obtain, test traces. In a preliminary evaluation on real-world open-source projects, we observe that our prediction quality is reasonable. In addition, using our trace predictions in LDP yields almost the same results comparing to when using real traces, while requiring less overhead.
Tight bound on parameter of surplus-based averaging algorithm over balanced digraphs

ABSTRACT We study a continuous-time surplus-based algorithm for multi-agent average consensus, and derive a tight upper bound on the key parameter included in this algorithm that ensures convergence over strongly connected and balanced digraphs. We specialise the upper bound result to undirected (connected) graphs and unweighted cyclic digraphs; in particular, for undirected graphs the algorithm converges for arbitrary positive values of the parameter, and for cyclic digraphs the upper bound on the parameter depends only on the number of agents and may be easily calculated. Moreover, it is suggested through extensive simulation that, for the same number of agents, the upper bound for cyclic digraphs be smaller than that for other strongly connected and possibly unbalanced digraphs; this implies that as long as the parameter satisfies the upper bound for cyclic digraphs, this parameter can work for other digraphs.