Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of Correlation between Geometry Elements for the Efficient Use of Satellite Stereo Images

This paper proposes the results of analysis of correlation between satellite geometry elements for an effective use of satellite images. To achieve accurate positional information, stereo images have normal range of convergence and BIE (BIsector Elevation) angles which are greatly influenced by azimuth and elevation angle of individual image. In this paper, the variations of convergence and BIE angles are estimated according to azimuth angle differences between two images and each elevation angle. The analysis provided strong support for predicting stereo geometry without complex analysis of epiploar geometry or mathematics. The experiment results showed that more than 150°, 130°, and 100° azimuth angle differences need to be constructed when elevation angle of two images is 50°, 60°, and 70°, respectively, in order to make the convergence and BIE angle within normal range. The results are expected to be fully used for various application using stereo images.
Web server with ATMEGA 2560 microcontroller

This paper presents the design and building of a Web Server to command, control and monitor at a distance lots of industrial or personal equipments and/or sensors. The server works based on a personal software. The software can be written by users and can work with many types of operating system. The authors were realized the Web server based on two platforms, an UC board and a network board. The source code was written in "open source" language Arduino 1.0. 5.
Software and Methods for Analyzing Molecular Genetic Marker Data

LIU, KEJUN. Software and Methods for Analyzing Molecular Genetic Marker Data (under the direction of DR SPENCER V. MUSE) Genetic analysis of molecular markers has allowed biologists to ask a wide variety of questions. This dissertation explores some aspects of the statistical and computational issues used in the genetic marker data analysis. Chapter 1 gives an introduction to genetic marker data, as well as a brief description to each chapter. Chapter 2 presents the different genetic analyses performed on a large data set and discusses the use of microsatellites to describe the maize germplasm and to improve maize germplasm maintenance. Considerable attention is focused on how the maize germplasm is organized and genetic variation is distributed. A novel maximum likelihood method is developed to estimate the historical contributions for maize inbred lines. Chapter 3 covers a new method for optimal selection of a core set of lines from a large germplasm collection. The simulated annealing algorithm for choosing an optimal k-subset is described and evaluated using the maize germplasm as an example; general constraints are incorporated in the algorithm, and the efficiency of the algorithms is compared to existing methods. Chapter 4 covers a two-stage strategy to partition a chromosomal region into blocks with extensive within-block linkage disequilibrium, and to select the optimal subset of SNPs that essentially captures the haplotype variation within a block. Population simulations suggest that the recursive bisection algorithm for block partitioning is generally reliable for recombination hotspots identification. Maximal entropy theory is applied to choose optimal subset of SNPs. The procedures are evaluated analytically as well as by simulation. The final chapter covers a new software package for genetic marker data analysis. The methods implemented in the package are listed. A brief tutorial is included to illustrate the features of the package. Chapter 5 also describes a new method for estimating population specific F-statistics and an extended algorithm for estimating haplotype frequencies. SOFTWARE AND METHODS FOR ANALYZING MOLECULAR GENETIC MARKER DATA
User-hostile products: What they are: How they shape us, how we shape them

This paper explores what might be meant by user-hostility and shows examples of the different categories of products. The examples include the old chestnuts of doors and the Video Cassette Recorder. But there is a smattering of other examples including food processors, cars, security systems and musical instruments. The paper goes on to look at the ways in which products shape the way we live and, in particular, how we learn to use products that at first we find difficult and even hostile. The paper continues to investigate ways in which we might, as designers, seek to design deliberately and intentionally user-hostile products and how we might successfully design out userhostility, and then apply this to the teaching situation.
Topic Modeling with Structured Priors for Text-Driven Science

Many scientific disciplines are being revolutionized by the explosion of public data on the web and social media, particularly in health and social sciences. For instance, by analyzing social media messages, we can instantly measure public opinion, understand population behaviors, and monitor events such as disease outbreaks and natural disasters. Taking advantage of these data sources requires tools that can make sense of massive amounts of unstructured and unlabeled text. Topic models, statistical models that posit low-dimensional representations of data, can uncover interesting latent structure in large text datasets and are popular tools for automatically identifying prominent themes in text. For example, prominent themes of discussion in social media might include politics and health. To be useful in scientific analyses, topic models must learn interpretable patterns that accurately correspond to real-world concepts of interest. This thesis will introduce topic models that can encode additional structures such as factorizations, hierarchies, and correlations of topics, and can incorporate supervision and domain knowledge. For example, topics about elections and Congressional legislation are related to each other (as part of a
The Effects of Buyer and Product Traits with Seller Reputation on Price Premiums in E-Auction

This paper examines the effects of buyer and product traits along with seller reputation on price premiums. Three personal traits studied are based on buyers' shopping pattern (analytical vs. impulsive buyers), propensity to trust (trusting vs. skeptical buyers), and attitude toward auction (competitive vs. noncompetitive buyers). Product characteristics — price and homogeneity of quality — are also considered. Data analysis in this study shows that while impulsive buyers consistently pay high premiums, analytical buyers pay greatly different premiums depending on sellers' reputations. However, buyers' propensity to trust and attitudes toward auctions do not significantly contribute to the difference of price premiums when information about sellers' reputations is explicitly provided. Even competitive buyers do not pay higher premiums to sellers of bad reputation for just being a winning bidder. In regard to product characteristics, buyers pay higher premiums for expensive products or products with various options. However, buyers do not pay high premiums for an expensive product with very homogeneous quality.
Energy aware cross layer-based connection admission control mechanism for wireless mesh networks

This paper studies the allocation scheme of bandwidth for the purpose of a quality end-to-end communication in multi-hop and multi-radio wireless mesh networks. In wireless mesh networks the role of bandwidth in providing QoS is pivotal. In view of the limited availability, efficient allocation of bandwidth becomes necessary. We proposed a scheme for connection admission control based on energy aware cross layer mechanism, to address the problems relating to the allocation of bandwidth for real-time and non-real-time traffic utilising a shared database. The shared database contains the energy available at the node, routing information, prediction of congestion and issues of congestion control in order to maximise the throughput of the network. The performance of the proposed model is evaluated in comparison with the other models utilising cross layer techniques. The design of the proposed network developed on the basis of energy aware cross layer optimisation, which yields considerable enhancement in the throughput of the network and these results can be crucial in the practical design of the network.
A Survey on Incrementally Improving Dataspace Systems Using User Feedback

Dataspace is a prominent research area in heterogeneous data management. A dataspace system provides a new data integration approach which integrates its data incrementally and improves its performance with time. Because a dataspace system deals a variety of heterogeneous data, and there is various kind of heterogeneity present among the data at schema level, data level and query level. These heterogeneities can be categories as structural heterogeneity, syntactic heterogeneity, and semantic heterogeneity. In order to improve the performance of system there is a requirement of addressing the semantic heterogeneity at various levels. In literature, we have found various algorithms based on the user feedbacks. In this paper, we survey the existing algorithms for modeling the semantic heterogeneity in dataspace and incrementally improving the performance of a dataspace system.
Chemoselective oxidation of 6-hydroxyalkylpteridine and its application to synthesis of 6-acyl-7,8-dihydropteridine

Alcohol-selective oxidation of 6-l'-hydroxyalkylpteridines catalyzed by ruthenium (IV), RuO 4 -, gives 6-acylpteridines in high yields. Partial reduction of the products affords 6-acyl-7,8-dihydropteridine derivatives, such as a lipophilic derivative of sepiapterin, deoxysepiapterin, and sepiapterin-C.
Understanding image registration : towards a descriptive language of computer vision

Vision researchers have created an incredible range of algorithms and systems to detect, track, recognize, and contextualize objects in a scene, using a myriad of internal models to represent their problem and solution. However in order to effectively make use of these algorithms sophisticated expert knowledge is required to understand and properly utilize the internal models used. Researchers must understand the vision task and the conditions surrounding their problem, and select an appropriate algorithm which will solve the problem most effectively under these constraints. Within this thesis we present a new taxonomy for the computer vision problem of image registration which organizes the field based on the conditions surrounding the problem. From this taxonomy we derive a model which can be used to describe both the conditions surrounding the problem, as well as the range of acceptable solutions. We then use this model to create testbenches which can directly compare image registration algorithms under specific conditions. A direct evaluation of the problem space allows us to interpret models, automatically selecting appropriate algorithms based on how well they perform on similar problems. This selection of an algorithm based on the conditions of the problem mimics the expert knowledge of vision researchers without requiring any knowledge of image registration algorithms. Further, the model identifies the dimensions of the problem space, allowing us to automatically detect different conditions. Extending beyond image registration, we propose a general framework of vision designed to make all vision tasks more accessible by providing a model of vision which allows for the description of what to do without requiring the specification of how the problem is solved. The description of the vision problem itself is represented in such a way that even non-vision experts can understand making the algorithms much more accessible and usable outside of the vision research community.
Electrical Properties and Sinterability for Lithium Germanium Phosphate Li1+xMxGe2-x(PO4)3, M=Al, Cr, Ga, Fe, Sc, and In Systems.

The electrical properties and sinterability were studied for Li1+xMxGe2−x(PO4)3, M = Al3+, Cr3+, Ga3+, Fe3+, Sc3+, and In3+ systems. Due to the closer ionic radius of Al3+ and Cr3+ compared to that of Ge4+, those M3+ ions easily substitute the Ge4+ site. Larger cations, such as Ga3+, Fe3+, Sc3+, and In3+, were difficult to substitute the Ge4+ site. The ionic conductivity and sinterability improved with an increase in x for all of the M3+-substituted systems. In particular, an Al3+- or Cr3+-substituted system shows higher conductivity; the maximum conductivity is 2.4 × 10−4 S cm−1 at 298 K for Li1.5Al0. 5Ge1.5(PO4)3. The enhancement in the conductivity is attributed to a decrease in the porosity and a lowering of the activation energy in the grain boundaries. The activation energy for Li+ ion conduction of the bulk component was 0.38 eV for Li1+xMxGe2−x(PO4)3 electrolytes, and was almost independent of M3+ substitution.
Hand Videos in Virtual Collaboration for Map-Based Planning Activities

The tools studied in this work are map-based virtual environments that help people at different locations to solve map-based tasks together. The goal of this work is to evaluate the question: does adding real-time videos of the hands and arms of virtual collaborators to a map-based virtual environment help people to be more effective than simpler technologies (e.g. drawing on an electronic map, or telephone only)? Real-time videos of the participants’ hands, when overlaid on a shared electronic map, allow them to use their hands to indicate a route by tracing it with a finger, or draw attention to a location of interest. This information can also be conveyed via simpler and less expensive technologies, such as electronically drawing on a shared map, or verbally describing the route via telephone, but are equally effective? The answer to this question will help developers of virtual collaboration tools to assess whether it is worth the extra effort to include such features in their software.
Neural Networks and the BiadVariance Dilemma

Feedforward neural networks trained by error backpropagation are examples of nonparametric regression estimators. We present a tutorial on nonparametric inference and its relation to neural networks, and we use the statistical viewpoint to highlight strengths and weaknesses of neural models. We illustrate the main points with some recognition experiments involving artificial data as well as handwritten numerals. In way of conclusion, we suggest that current-generation feedforward neural networks are largely inadequate for difficult problems in machine perception and machine learning, regardless of parallelversus-serial hardware or other implementation issues. Furthermore, we suggest that the fundamental challenges in neural modeling are about representation rather than learning per se. This last point is supported by additional experiments with handwritten numerals.
PHARMACOLOGICAL MANAGEMENT OF IMMUNE AND OXIDATIVE DISTURBANCES IN PATIENTS WITH ENCEPHALOPATHY ON THE BACKGROUND OF HYPERTENSION

Prior to treatment in patients with discirculatory encephalopathy stage II affected by hypertensive disease set at the system level elevation of proinflammatory and regulatory cytokines, stable metabolites of nitric oxide, a decrease of immunoglobulins M, G, A, disbalance of the complement system components, development oxidative stress. Inclusion of a comprehensive drug treatment of patients with discirculatory encephalopathy cerebrolysin combination with meksidol normalizes the concentration of C3 and C4 components of the complement system, IgG, malondialdehyde, catalase activity, total antioxidant activity of blood serum, corrects, but not to the level of standards, the contents of cytokines (TNF, IL-1β, IL-6, IL8, IL-18, IFγ, IL-2, IL-17), complement component C5, IgA, acylhydrohyperoxide, neopterin and increases anti-inflammatory cytokines. Using emoxipine and piracetam as part of pharmacotherapy vascular encephalopathy stage II, compared with a combination of cerebrolysin and meksidol to further normalize levels of IL-17, C-reactive protein, increasingly closer to that of a control group of IL-6, IL-2 IL-18, C5, C5a component of complement, IgM, AGP, SMNO, increases the concentration of the complement system and cytokine network controllers. Included in the complex pharmacotherapy of patients with discirculatory encephalopathy and a combination aktovegin and cereton has maximum efficiency, normalizing 52% and 48% broken correlation immune parameters.
Creating a web of places and locations for mobile applications

This thesis presents a method on how to represent location-based services using the capabilities of the World Wide Web in a manner, that different parties can easily create, access and search for these services. It further shows how to access services associated with places in the proximity of a geospatial postion with a mobile device by utilizing a geospatial search engine capable of retrieving and ranking the services available in such a Web of Places and Locations. By enabling arbitrary individuals to provide location-based services to this Web of Places and Locations the presented solution allows for a vast variety of services neither tailored to be usable only in a predefined context nor restricted in terms of use.
Development of Carbon-Metal Oxide Supercapacitors from Sol-Gel Derived Carbon-Ruthenium Xerogels.

There has been increasing interest in electrochemical capacitors as energy storage systems because of their high power density and long cycle life, compared to battery devices. According to the mechanism of energy storage, there are two types of electrochemical capacitors. One type is based on double layer (dl) formation due to charge separation, and the other type is based on a faradaic process due to redox reactions. Sol-gel derived high surface area carbon-ruthenium xerogels were prepared from carbonized resorcinol-formaldehyde resins containing an electrochemically active form of ruthenium oxide. The electrochemical capacitance of these materials increased with an increase in the ruthenium content indicating the presence of pseudocapacitance associated with the ruthenium oxide undergoing reversible faradaic redox reactions. A specific capacitance of 256 F/g (single electrode) was obtained from a carbon xerogel containing 14 wt% Ru, which corresponded to more than 50% utilization of the ruthenium. The double layer accounted for 40% of this capacitance. This material was also electrochemically stable, showing no change in a cyclic voltammogram for over 2,000 cycles.
Primerjava standardov video kodiranja H.264 AVC in H.265 HEVC

Diplomska naloga obravnava tematiko video kodiranja. Opisani so razlicni video kodirni standardi in postopki zgoscevanja video vsebine. Najvec poudarka sem namenil novemu kodirnemu standardu H.265/HEVC ter njegovem predhodniku H.264/AVC. Uvod dela sem zacel z osnovnimi tehnikami, ki jih uporabljamo pri zgoscevanju videa, opisal pa sem tudi postopek zgoscevanja staticnih slik. Izpostavil sem najpogostejsi standard JPEG. Nadaljeval sem z zgoscevanjem gibljive slike ter opisom standardov MPEG-1, MPEG-2 ter MPEG-4. Sledila je primerjava danes najbolj uporabljenega video kodirnega standarda H.264/AVC z njegovim naslednikom H.265/HEVC. Najprej sem teoreticno opisal oba standarda. Tukaj sem naredil poudarek na kodirnih orodjih, ki jih oba standarda vkljucujeta pri video kodirnem procesu. V zadnjem poglavju sem izvedel se test med H.264/AVC in H.265/HEVC. To sem naredil tako, da sem s pomocjo programov Hybrid in Handbrake, ki vsebujeta x264 ter novi x265 kodek, subjektivno ovrednotil kvaliteto novega HEVC kodirnika.
Design And Analysis Of Modern Tracking Systems

Thank you very much for reading design and analysis of modern tracking systems. Maybe you have knowledge that, people have search numerous times for their favorite novels like this design and analysis of modern tracking systems, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some malicious bugs inside their laptop.
Schwinger pair production at finite temperature

Thermal corrections to Schwinger pair production are potentially important in particle physics, nuclear physics and cosmology. However, the lowest-order contribution, arising at one loop, has proved difficult to calculate unambiguously. We show that this thermal correction may be calculated for charged scalars using the worldline formalism, where each term in the decay rate is associated with a worldline instanton. We calculate all finite-temperature worldline instantons, their actions and fluctuations prefactors, thus determining the complete one-loop decay rate at finite temperature. The thermal contribution to the decay rate becomes nonzero at a threshold temperature $T=eE/2m$, above which it dominates the zero temperature result. This is the lowest of an infinite set of thresholds at $T=neE/2m$. The decay rate is singular at each threshold as a consequence of the failure of the quadratic approximation to the worldline path integral. We argue that that higher-order effects will make the decay rates finite everywhere, and model those effects by the inclusion of hard thermal loop damping rates. We also demonstrate that the formalism developed here generalizes to the case of finite-temperature pair production in inhomogeneous fields.
Composite Metrics for Network Security Analysis

Security metrics present the security level of a system or a network in both qualitative and quantitative ways. In general, security metrics are used to assess the security level of a system and to achieve security goals. There are a lot of security metrics for security analysis, but there is no systematic classification of security metrics that are based on network reachability information. To address this, we propose a systematic classification of existing security metrics based on network reachability information. Mainly, we classify the security metrics into host-based and network-based metrics. The host-based metrics are classified into metrics ``without probability" and "with probability", while the network-based metrics are classified into "path-based" and "non-path based". Finally, we present and describe an approach to develop composite security metrics and it's calculations using a Hierarchical Attack Representation Model (HARM) via an example network. Our novel classification of security metrics provides a new methodology to assess the security of a system.