Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparison in Colored Text Enhancement

Text data present in images contain useful information for automatic explanation, indexing, and structuring for images. Extracting information involves detection, localization, tracking, extraction, enhancement, and recognition of the text from a given image. However variations of text due to differences in color as an example make the problem of automatic text enhancement extremely challenging in the computer vision research area especially when we deal with image's color component. A comparison between seven different filters has been executed upon colored text image by processing each image's color component individually. MSE, SNR, and PSNR for each filter's application have been analyzed to determine the success and limitations of each approach. Among the seven different filters that have been adopted and in spite of its changeable effect in luminance, one can use the New-Equalization filter that has been suggested in this research as a good enhanced filter for such type of text.
Evaluation OF Phase-Coded Pulse Compression Waveforms in Software Defined Radar

Pulse compression procedures are utilized as a part of radar systems to profit the advantages of huge range detection In this search in terms of capability of long span pulse and high range determination capacity (resolution capability) of short duration pulse. In this search these procedures (techniques) a long duration pulse is utilized which is either phase or frequency modulated before transmission and received signal is gone through, a matched filter is utilized for pulse compression to accomplish high signal to-noise ratio (SNR). Be that as it may, the matched filter output i.e. autocorrelation function (ACF) of a modulated signal is related with extend sidelobes alongside the mainlobe. These sidelobes are undesirable outputs from the pulse compression filter and may veil a weaker target which is available closer to a more grounded target. Thus, these sidelobes influence the execution of the radar identification system. In this theory, couple of examinations have been made to decrease the range sidelobes utilizing (software defined) techniques in order to enhance the execution of radar detection system . Phase coded signals a long pulse is partitioned into various sub pulse each of which is assigned with a phase esteem. The phase task ought to be with the end goal that ACF of the phase coded signal achieve bring down sidelobes. Poly-phase and Barker codes yield bring down sidelobes. In this work, are proposed to ideally pick the parameters of Poly-phase and Barker codes to accomplish decreased lobes, low peak sidelobe and limit mainlobe width.
SURF: Software Update Registration Framework

BlockSURF (Blockchain-based Secure Update Registration Framework) or SURF in short is a software framework designed to enable developers to build a blockchain-based secure update system which distributes trust over a blockchain. The primary objective of SURF is to create an immutable anchor for each software update registration on a blockchain and enable a wide spectrum of clients ranging from high-end servers to lowprofile IoT devices to securely verify updates with minimal performance overhead. By introducing a partially trusted entity which serves client requests and handles blockchainrelated business logic, SURF successfully decouples clients from an underlying blockchain, making the system blockchain-agnostic.
Investigation of the Multiple Imputation Method in Different Missing Ratios and Sample Sizes

In many studies, missing data are the real trouble to researchers. Because the statistical methods are designed for complete data sets. Multiple imputation method is developed to solve the missing data problem. The method is also used effectively in some useful properties of the Bayes method. If there are missing values in the data set, Bayesian method can be used to prevent the loss of information. In this study, the performance of the multiple imputation method is evaluated by generating survival data with different missing rates and different sample sizes. Also, informative priors and multiple imputation method are used together to prevent the missing information in the variable with missing value.
Simulation and modeling of the temporal performance of path-based restoration schemes in planar mesh networks

We formulate an analytic framework for the restoration performance of path-based restoration schemes in planar mesh networks. We analyze various switch architectures and signaling schemes and model their total restoration interval. We also evaluate the network global expectation value of the time to restore a demand as a function of network parameters. We analyze a wide range of nominally capacity-optimal planar mesh networks and find our analytic model to be in good agreement with numerical simulation data.
How to dissect surgical journals: V – Patients

Patients entered into a study at ‘The Megatropolis Centre of Clinical Excellence’ will differ from those at ‘The Shady Oaks District Hospital’. They will have passed through a number of ‘selection pressures’. Ambulances and retrieval teams bypass smaller centres when they have a critically ill patient. Smaller hospitals send their complex patients to central hospitals. Some patients seek ‘the best’.
Video-Tag Detection and Recognition

In this work, we present a video-tag detection and recognition method. According to the duration of the video, choose an appropriate strategy to sample the frames. After the candidate tag of every frame is computed, a median filter algorithm is employed to get the tag boundary. At last the binary video-tag is determined by a multi-frame-based analysis algorithm. After scaling the binary tag image to the standard size, a full image-matching algorithm is used to recognize the tag. The experimental results indicate the proposed video-tag detection method has high recall ratio and precision ratio, and the image-matching-based video-tag recognition method performs much better than the traditional OCR methods.
Epidemiology of Community-Acquired and Health Care-Associated Staphylococcus aureus Pneumonia

Background: Information is limited on the descriptive epidemiology of community-acquired pneumonia (CAP) and health care-associated pneumonia (HCAP) due to Staphylococcus aureus. Methods: We retrospectively identified all patients admitted to a large urban US hospital between January 2005 and May 2008 with pneumonia and positive blood or respiratory cultures for S. aureus within 48 hours of admission. Patients were designated as having CAP or HCAP based on established criteria, and methicillin-resistant S. aureus (MRSA) or methicillin-susceptible S. aureus (MSSA) pneumonia based on results of initial cultures. Appropriateness of initial therapy was based on whether antibiotic coverage was provided for MRSA or MSSA. Results: The study sample consisted of 270 patients hospitalized for S. aureus pneumonia: 142 (53%) with HCAP and 128 (47%) with CAP. Sixty-one percent of HCAP patients and 43% of CAP patients had MRSA. Demographic and clinical characteristics of MRSA and MSSA patients were similar in both CAP and HCAP. Most HCAP patients received appropriate initial antibiotic therapy (78% for MRSA and 75% for MSSA; P = 0.69); MRSA CAP patients, however, were much less likely to receive appropriate initial therapy (40% vs 59% for MSSA CAP; P = 0.05). USA100 and USA300 strains were present in 55% and 16% of all patients with MRSA HCAP; corresponding percentages for MRSA CAP were 42% and 45%, respectively. Conclusions: Methicillin-resistant S. aureus is an important pathogen in both HCAP and CAP, and simple clinical criteria do not permit early identification of patients with MRSA versus MSSA pneumonia. Fewer than one half of patients with MRSA CAP receive appropriate initial antibiotic therapy.
Stress Management Intervention For Women With Breast Cancer

Thank you for reading stress management intervention for women with breast cancer. Maybe you have knowledge that, people have search numerous times for their chosen novels like this stress management intervention for women with breast cancer, but end up in harmful downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some infectious virus inside their desktop computer.
Hardware/software codesign for performance and lifetime enhancement in NAND-flash-based embedded storage systems

Embedded systems (e.g. smartphones) have become an integral part in peoples’ daily life. In the last several years, most of efforts in improving embedded systems have been focusing on enhancing the network performance and CPU speed. On the other hand, the performance of NAND-flash-based storage in embedded systems is stagnant, and has become one of the major performance bottlenecks in embedded systems. Even worse, the performance and lifetimes of NAND flash memory are substantially degraded with the advent of multi-level cell and triple-level cell flash memory for increasing the capacity. In this thesis, we have addressed these issues from several aspects including the integration of the emerging hardware and the cross-layer software management for the optimization of the performance and lifetime. First, we focus on employing the self-healing NAND flash memory to improve the lifetime and performance. Researchers have recently discovered that heating can cause wornout NAND flash cells to become reusable and greatly extend the lifetime of flash memory cells. However, the heating process consumes a substantial amount of power, and some fundamental changes are required for existing NAND flash management techniques. In particular, all existing wear-leveling techniques are based on the principle of evenly distributing writes and erases. For self-healing NAND flash, this may cause NAND flash cells to be worn out in a short period of time. Moreover, frequently healing these cells may drain the energy quickly in battery-driven mobile devices, which is defined as the concentrated heating problem. We propose a novel wear-leveling scheme called DHeating (Dispersed Heating) to address the problem. In DHeating, rather than evenly distributing writes and erases over a time period, write and erase operations are scheduled on a small number of flash memory cells at a time, so that these cells can be worn out and healed much earlier than other cells. In this
Algorithms for Control with Limited Processing and Communication Resources

Cyberphysical systems feature a tight integration between the processing, communication, and control resources and algorithms. In particular, in many applications where multiple physical components are networked, sensor and control data need to be transmitted across communication channels that may introduce significant performance degradation. Similarly, the processing resources may be shared by different users, so that the processor availability for execution of the control algorithm for any one physical system may be limited and time-varying. While both these effects have been considered separately in the literature, we consider them together. Specifically, we consider a system in which the sensor transmits to the controller across an analog erasure channel that introduce independent and identically distributed data dropouts. In an earlier work, we had proposed an anytime control algorithm, in which a sequence of control inputs to be applied in the future is calculated whenever possible, to safeguard against the instants at which processor availability is constrained. In the present chapter, we show that the control performance provided by the anytime algorithm can be significantly improved by using an estimator in conjunction with the controller. The estimator provides an estimate of the current state of the plant using the control inputs calculated at the previous time steps. By making complete use of the knowledge at the controller and processor availability, the performance of the system can be safeguarded against instances when the processor is available for only a very short time and no system input can be calculated. Numerical simulations illustrate potential performance improvements with respect to a baseline control algorithm. D. Quevedo is with the School of Electrical Engineering & Computer Science, The University of Newcastle, Australia: dquevedo@ieee.org. V. Gupta and W. J. Ma are with the Department of Electrical Engineering, University of Notre Dame: vgupta2@nd.edu, wma1@nd.edu. Research supported in part by NSF awards 0846631 and 0834771. December 18, 2014 DRAFT
Experiences of Internalized and Enacted Stigma among Women with Obstetric Fistula in Tanzania

Experiences of Internalized and Enacted Stigma among Women with Obstetric Fistula in Tanzania by Sara Abdullah Duke Global Health Institute Duke University Date:_03/10/2016_ Approved: ___________________________ Melissa Watt, Supervisor ___________________________ Kathleen J. Sikkema ___________________________ John W. Schmitt An abstract of a thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in the Duke Global Health Institute in the Graduate School of Duke University
Dynamic Modeling of a Serial Link Robot Laminated with Plastic Film

This chapter presents serial link robots laminated with a plastic film, a derivation of the equations of motion of the laminated robots, and numerical simulation. Recently, to become capable of wide application for several serial link robots that work outside, waterproofing and dustproofing techniques are required. We have proposed a robot packaging method to improve waterproof and dustproof properties of serial link robots. Using the proposed packaging method, rigid links with some active joints are loosely laminated with plastic film to protect the links from dust and water. In the next step of our research, we must derive the equations of motion of the laminated robots for the design and performance improvement from the viewpoint of high speed and high energy efficiency. We assume a plastic film as a closed-loop link structure with passive joints in this chapter. A rigid serial link (fin) connected with a motor-actuated joint moves a closed-loop link structure with passive joints. We numerically investigate the influence of the flexural rigidity of a plastic film on the motion of the rigid fin. This research not only contributes to the lamination techniques but also develops a novel application of waterproofing and dustproofing techniques in robotics.
Evolutionärer Test des Zeitverhaltens von Realzeit-Systemen (Evolutionary Testing of the Temporal Behaviour of Real-Time Systems)

Zusammenfassung Mit dem evolutionären Test steht eine neue Testmethode zur Verfügung, die eine systematische und weitgehend automatische Prüfung des Zeitverhaltens von Realzeit-Systemen ermöglicht. Der Test wird als ein Optimierungsproblem interpretiert, das mit evolutionären Algorithmen gelöst wird. Es werden die Eingabesituationen mit den längsten und kürzesten Ausführungszeiten gesucht, um dynamisch zu überprüfen, ob Verletzungen der für das zu testende Realzeit-System spezifizierten Zeitschranken auftreten.
Magnetic resonance of the cardiovascular system

The principles of magnetic resonance Magnetic resonance image formation Instrumentation Practical aspects of magnetic resonance imaging Imaging of Qcquired heart disease Imaging of congenital heart disease Cine imaging of the heart Relaxation measurements and contrast media Magnetic reasonance angiography Magnetic resonance flow imaging Atherosclerotic vascular disease Magnetic resonance spectroscopy Magnetic resonance compared with other imaging techniques The safety of magnetic resonance in cardiac patients The future of magnetic resonance in cardiology
Distributed Modular Controller Architecture for High Power Converter Applications

Wei Liu. Distributed modular controller architecture for high power converter applications. (under the direction of Dr. Alex Q. Huang) Modular converter is of particular interest in high power applications in order to achieve higher level of flexibility, expandability and reliability. Power electronics building block(PEBB) and H-bridge building block(HBBB) are typical modular blocks proposed for this applications. However, for converters based on the modular converter concept, the conventional controller is still not modular. The controller typically only has one single central control unit. The central controller has direct connections with each modular converter. When the controller and the power converters are placed close to each other, there will not be problem to do so despite a lot of wire connections. For high voltage and power rating converters, it is true that the power converters will consist of many modular blocks and these blocks will be placed at some distance from the controller. In this case, digital switch signals must be sent to the converters via optical fiber to improve reliability. However, the required fiber connections are too many that increase the risk of fault. Moreover, the analog signals from the sensors such as the voltage and current are usually sending back to the central controller through analog wire connections that has low electromagnetic interference (EMI) susceptibility. To solve the problems mentioned above for a high power converter system that may have multiple modular converter units, a modular controller architecture is needed and this concept is starting to be accepted specially if the system is constructed with modular converters. In this thesis, the proposed modular controller architecture includes a central controller and distributed local controllers. Each modular converter is accompanying with a local controller. The central controller performs the main control loop calculation and then sends the control commands to the local controllers. The central controller and the local controllers are communicated based on defined protocol via optical fibers. Then, the local controllers decode the command and generate the gate signals to the converter. Also, the local controllers have the function to convert analog information to digital such as voltages and currents and then feed back them to the central controller via optical fibers. The communication between the central controller and each local controller requires only two optical fibers. This largely increases the system reliability and also the flexibility to expand the system to higher power rating. Distributed Modular Controller Architecture For High Power Converter Applications
Causal Etiology of the Research of James M. Robins

This issue of Statistical Science draws its inspiration from the work of James M. Robins. Jon Wellner, the Editor at the time, asked the two of us to edit a special issue that would highlight the research topics studied by Robins and the breadth and depth of Robins' contributions. Between the two of us, we have collaborated closely with Jamie for nearly 40 years. We agreed to edit this issue because we recognized that we were among the few in a position to relate the trajectory of his research career to date.
Prestack correlative least-squares reverse time migration

ABSTRACTIn the correlative least-squares reverse time migration (CLSRTM) scheme, a stacked image is updated using a gradient-based inversion algorithm. However, CLSRTM experiences the incoherent stacking of different shots during each iteration due to the use of an imperfect velocity, which leads to image smearing. To reduce the sensitivity to velocity errors, we have developed prestack correlative least-squares reverse time migration (PCLSRTM), in which a gradient descent algorithm using a newly defined initial image and an efficiently defined analytical step length is developed to separately seek the optimal image for each shot gather before the final stacking. Furthermore, a weighted objective function is also designed for PCLSRTM, so that the data-domain gradient can avoid a strong truncation effect. Numerical experiments on a three-layer model as well as a marine synthetic and a field data set reveal the merits of PCLSRTM. In the presence of velocity errors, PCLSRTM shows better convergence and provi.
Knowledge Modeling and Reasoning for Dynamic Variant Design of Multi-domain Systems

The modeling of multi-domain systems based on Modelica mainly regards such aspects as physical modeling and parameter optimization,whereas it does not support the product variant design.By extending the model expression,a variant product model with undefined components or parameters is presented to support dynamic variant design of multi-domain systems.Knowledge and experience of product design are fused in the model in the manner of constraint rules with regard to the parameters,components and models.The components and parameters of the products are determined through reasoning so that dynamic variant design is achieved.At last,an application example is given to assess the effectiveness of the method.
Immunization and Moral Hazard: The HPV Vaccine and Uptake of Cancer Screening

Immunization can lead to moral hazard by reducing the cost of risky behaviors and reducing preventive efforts. In this study, we examine the effect of HPV (human papillomavirus) vaccination on participation in the Pap test, which is a diagnostic screening test to detect HPV and non-HPV-related cancerous processes. The HPV vaccination is explicitly recommended for women up to age 26 years who were not previously vaccinated. Pap tests are strongly recommended for women between 21 and 65 years old even after having the HPV vaccine. To study the effect of HPV vaccination on Pap test uptake, we construct a fuzzy regression discontinuity design, centered on the vaccination threshold age. The results suggest that moral hazard was not the dominant effect. The estimates show that women who have been vaccinated, if anything, are actually more likely to have a Pap test, possibly due to increased awareness of its benefits at the time of vaccination.
Bluetooth Worms Propagation in Smartphone Networks with Awareness

In order to study impacts of awareness on the propagation of a Bluetooth worm in smartphone networks, a novel propagation model is proposed. In this model, the smartphone network is regarded as a two-layer network composed of a social network layer in which the awareness diffuses and a physical network layer in which the Bluetooth worm propagates. It is shown by theoretical analysis and simulations that: (1) awareness cannot change the propagation threshold, but can mitigate Bluetooth worm in terms of decreasing the propagation speed and the final infection size; (2) the structure of the social network layer has a profound impact on such mitigation effects. That is, for smaller effective infection rate  , BA structure is always more effective than WS structure; while for larger  , there exists a critical value of social reinforcement of awareness c b , beyond which BA structure is more effective than WS structure, or else the reverse is true. In addition, the critical value c b is larger with  increasing.