Digital Commons Network^™

A Neuro-Genetic Model In Gdp Forecasting: Case Study Albania, Dezdemona Gjylapi, Vladimir Kasemi

UBT International Conference

The aim of this paper is to design a neural network model trained with genetic algorithms, called 'neuro-genetic' model, and to use it in Gross Domestic Product (GDP) forecasting. GDP is an economic indicator that represents the value at market prices of all goods and services produced within a country in a given period (usually a year). Its forecasting is of particular importance for the fiscal and monetary policy makers in the preparation of timetables aiming macroeconomic stability and su stainable economic growth. We use ten factors that affect the determination of the GDP for the Albania’s GDP forecasting. The …

Discovering Ict Tools Resources On Web To Support The Child Development, Eva Cipi

UBT International Conference

This work summarizes the findings of a research effort undertaken to understand the links between child mental health and the uses of Information and Communication Technologies ICT. It is based on research conducted in the web aiming to identify the powerful role of ICT& multimedia tools on educational development process of yang people. Bringing a lot of web resources, this work aim to promote new methodologies on making easier the overall education process on schools. The research involves three stages starting from a short survey of children health across specific educational stages. Then we analyze and suggest specific conditions to …

The Influence Of Digital Culture In Tectonics And The Language Of Form In Architecture Toyo Ito, Greg Lynn, Patrick Schoumaker, Denada Veizaj, Gjergii Islami

UBT International Conference

The last three decades show how is evolved a complicated relation between architecture and digital technologies, through an absolute skepticism to moments of enthusiasm. The new rhetoric of digital technologies tents to embrace fundamental concepts of architecture, by theorizing another time as in the modern tradition, correlations between form-space-structure. The objective of this paper is to verify the hypothesis which admits that digital culture is changing the relations between space-form and tectonics. In the ambiguous contemporaneity, on the symbioses between spirit and the digital, Toyo Ito’s outcome seems to be the one of the most convincing. This paper tents to …

Comparison Of Local Image Descriptors For Plant Identification From Leaf Images, Lameski Petre, Zdravevski Eftim, Kulakov Andrea

UBT International Conference

In this paper we present several descriptors used for the task of Plant recognition based on the images of leaves. The set of descriptors include texture based descriptors, fractal descriptors as well as some of the state of the art descriptors for image retrieval and object recognition in images. The descriptors are generated from the leaf images taken from single leaves on homogenous background. The descriptors are then used for training classifiers from a dataset of leaf images. The comparison of the obtained results will be presented in this paper.

Swarm Intelligence As An Optimization Technique, Alma Bregaj

UBT International Conference

Optimization techniques inspired by swarm intelligence have become increasingly popular during the last years. Swarm intelligence is based on nature-inspired behaviours and is successfully applied to optimisation problems in a variety of fields. The advantage of these approaches over traditional techniques is their robustness and flexibility. These properties make swarm intelligence a successful design paradigm for algorithms that deal with increasingly complex problems. In this paper I am focused on the comparison between different swarm-based optimisation algorithms and I have presented some examples of real practical applications of these algorithms.

A Web-Based Platform For E-Learning And Blended Learning In Modelling And Simulation, Martin Bicher, Irene Hafner, Andreas Bauer, Carina Pöll, Niki Popper, Felix Breitenecker

UBT International Conference

The Mathematics Modelling and Tools (MMT) e-learning system is a platform used for supporting lectures and tutoring at the Vienna University and Technology. Additionally to traditional e-learning properties like up- and download of lecture notes, videos and slides the MMT system provides the surface for a virtual modelling and simulation laboratory. Very powerful calculation software like MATLAB, Java or Octave, running in behind, allows experimenting with targeted modelling and simulation examples prepared and developed by experts. These are first of all used to support the presentation directly at the lecture and can afterwards be accessed by students given a password …

Pervious Concrete-New Solution For Sustainable Urban Street Construction Case: Prishtina And Tirana, Driton R. Kryeziu, Mevlan Qafleshi, Fisnik Kadiu

UBT International Conference

Great problems resulting from the rainfalls, or saying explicitly: The water runoff on roads, streets, pavements, parking lots, squares, etc., require solutions. We are all witnesses of how streets of Prishtina and Tirana look like during rainfalls. Each one of us has been in one or other way participants in any of these occurrences, whether as pedestrians, vehicle operators or passengers. What was your impression and answer to it? The main goal of preparing this paper consists in a solution that would result as ideal perfection in preventing and avoiding entirely the urban water runoff and floods, the consequences of …

Architectures Technologies And Energy Efficiency Of Optical Networks, Sulejman D. Sulejmani

UBT International Conference

The Increasing of today's Internet services as are online video gaming, video games, video conferencing and video on demand in terms of multicasting has changed the concept of the classical approach to the networks because these services requires broadband frequency for data communication. The rapid expansion of the customer network, require wide bandwidth and increasing of energy expenditures. To gain energy efficiency we propose a novel architecture. The solution of these problems is solved by using of passive optical networks which are able to transmit data simultaneously in a broadband communication by using of optical multiplexers. The important parameters on …

Ann In Financial Prediction, Roneda Mucaj, Alketa Hyso

UBT International Conference

This paper focuses on the treatment of intelligent systems and their application in the financial area. Types of intelligent systems are numerous, but we will focus on those systems, which based on their ability to learn, are able to predict. The concept of inductive reasoning, how these systems learn and reason inductively, the role and their integration in financial services are some of the concepts that will be addressed. The second and the main part focuses on the application developed in the design of an artificial neural network for financial forecasts. Recognizing the need for better predictive models, not just …

Testing And Assessment In Mathematics Via Web Applications, Stefanie Winkler, Carina Pöll, Andreas Körner, Niki Popper, Felix Breitenecker

UBT International Conference

This paper deals with the web interface Maple T.A. which is used for mathematical education at the Vienna University of Technology. Maple T.A. is based on the computer algebra system Maple. This fact offers the possibility to test and assess the students in easy but also complex mathematical matters in an uncomplicated way. This interface was first used only for the refresher course. This course takes place in the first 3 weeks of the semester and deals with the repetition of all the important themes of the school mathematics. Maple T.A. is also used for the basic and advanced mathematical …

Using Machine Learning Techniques To Customize The User's Profile, Helps Intelligent Tv Decoder’S Design, Alketa Hyso, Roneda Mucaj

UBT International Conference

In today's society due to the increase of the quantity of information is becoming more difficult to find the information we search. "Data mining" offers us the most important methods and techniques in data analysis. Through this work, we aim to study the several data mining techniques, methods and applications in specific areas. We experiment with an “open software" WEKA, to perform some data analysis, presenting the reliability and advantages of data mining classification technique. We use the decision trees technique to achieve the task of classification, to customize user profiles based on their requirements and needs. This paper presents …

Project Scheduling And Role Of It, Besnik Skenderi, Diamanta Skenderi

UBT International Conference

In the current business environment, companies around the world are conducting their business operations through project implementation. Moreover, project management as a profession is developed by bodies of knowledge and companies are investing in capacity building and in improvement of their internal procedures. Nowadays, different standards are used in a field of project management. However, despite the investment in the field of project management and hundreds of hours of delivered training to project managers, around 60% of the initiated projects in the world are failing and project scheduling is among identified reasons for project failure. Companies that are implementing projects, …

Broadening What We Perceive: A Method For Analyzing Gesture And Language, Caro C. Williams-Pierce

Mathematics and Statistics Faculty Scholarship

Gesture and language are deeply intertwined, and attending to both simultaneously when examining mathematical processes is a complex yet rewarding task. We share our budding research methodology for analyzing gesture and language and discuss the methodology from a generic perspective that can be easily adapted to different contexts, participants, and mathematical domains. We further share our problem-specific gesture coding scheme as an example of the grain size and foci of such schemes. Finally, we close by discussing the importance of gesture and language to understanding mathematical justifications and proofs.

Strategically Chosen Examples Leading To Proof Insight: A Case Study Of A Mathematician’S Proving Process., Caro C. Williams-Pierce

Mathematics and Statistics Faculty Scholarship

Examples play a critical role in the exploration and proving of conjectures. Although proof has been studied extensively, the precise ways in which examples might facilitate successful proofs are not well documented or understood. Working within a larger set of studies that argue for the value of examples in proof-related activity, in this paper we present a case study of one mathematician’s work on a conjecture in which his strategic, intentional use of examples led to a proof of that conjecture. By examining his work in detail, we highlight specific mechanisms by which the mathematician’s examples led to successful proof …

Men's Tennis Media Guide 2013-14, Wofford College. Department Of Athletics

Media Guides

No abstract provided.

Men's Basketball Media Guide 2013-2014, Wofford College. Department Of Athletics

Media Guides

No abstract provided.

Women's Tennis Media Guide 2013-2014, Wofford College. Department Of Athletics

Media Guides

No abstract provided.

Women's Basketball Media Guide 2013-2014, Wofford College. Department Of Athletics

Media Guides

No abstract provided.

Daily Announcements November 2013, Wofford College. Office Of Marketing And Communications

Communications Office Daily Announcements

No abstract provided.

Getting It Right The First Time: Robot Mission Guarantees In The Presence Of Uncertainty, Damian Lyons, Ron Arkin, Paramesh Nirmal, Shu Jiang, Tsung-Ming Liu, Julia Deeb

Faculty Publications

Abstract—Certain robot missions need to perform predictably in a physical environment that may only be poorly characterized in advance. We have previously developed an approach to establishing performance guarantees for behavior-based controllers in a process-algebra framework. We extend that work here to include random variables, and we show how our prior results can be used to generate a Dynamic Bayesian Network for the coupled system of program and environment model. Verification is reduced to a filtering problem for this network. Finally, we present validation results that demonstrate the effectiveness of the verification of a multiple waypoint robot mission using this …

One-Day Treatment Of Small Molecule 8-Bromo-Cyclic Amp Analogue Induces Cell-Based Vegf Production For In Vitro Angiogenesis And Osteoblastic Differentiation, Kevin W.-H. Lo, Ho Man Kan, Keith A. Gagnon, Cato T. Laurencin

UCHC Articles - Research

Small molecule based regenerative engineering is emerging as a promising strategy for regenerating bone tissue. Small molecule cAMP analogues have been proposed as novel biofactors for bone repair and regeneration, and while promising, the effect that these small molecules have on angiogenesis, a critical requirement for successful bone regeneration, is still unclear. Our previous research demonstrated that the small molecule cAMP analogue 8-bromoadenosine-3’,5’-cyclic monophosphate (8-Br-cAMP) was able to promote initial osteoblast adhesion on a polymeric scaffold via cAMP signaling cascades. Here, we report that 8-Br-cAMP is capable of inducing in vitro cell-based VEGF production for angiogenesis promotion. We first demonstrated …

Sfa Weather Station-November 2013, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

No abstract provided.

Hard X-Ray Lags In Active Galactic Nuclei: Testing The Distant Reverberation Hypothesis With Ngc 6814, D. J. Walton, A. Zoghbi, E. M. Cackett, P. Uttley, F. A. Harrison, A. C. Fabian, E. Kara, J. M. Miller, R. C. Reis, C. S. Reynolds

Physics and Astronomy Faculty Research Publications

We present an X-ray spectral and temporal analysis of the variable active galaxy NGC 6814, observed with Suzaku during 2011 November. Remarkably, the X-ray spectrum shows no evidence for the soft excess commonly observed amongst other active galaxies, despite its relatively low level of obscuration, and is dominated across the whole Suzaku bandpass by the intrinsic powerlaw-like continuum. Despite this, we clearly detect the presence of a low-frequency hard lag of ~1600 s between the 0.5-2.0 and 2.0-5.0 keV energy bands at greater than 6σ significance, similar to those reported in the literature for a variety of other active galactic …

Joint Estimation Of Multiple Graphical Models From High Dimensional Time Series, Huitong Qiu, Fang Han, Han Liu, Brian Caffo

Johns Hopkins University, Dept. of Biostatistics Working Papers

In this manuscript the problem of jointly estimating multiple graphical models in high dimensions is considered. It is assumed that the data are collected from n subjects, each of which consists of m non-independent observations. The graphical models of subjects vary, but are assumed to change smoothly corresponding to a measure of the closeness between subjects. A kernel based method for jointly estimating all graphical models is proposed. Theoretically, under a double asymptotic framework, where both (m,n) and the dimension d can increase, the explicit rate of convergence in parameter estimation is provided, thus characterizing the strength one can borrow …

Keynoter, November/December 2013, Boise State University Association Of Office Professionals

Boise State University Association of Office Professionals - Keynoter

President's Message

BSUAOP Officers

BSUAOP Luncheon & Annual Holiday Auction

BSUAOP Member Representatives

Mentor Program

Professional Development Day

Standing Committees

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AOP's Administrator of the Year & Office Professional of the Year

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NAEOP 2013 Institute

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Co Oxidation Over Au/Tio2 Catalyst: Pretreatment Effects, Catalyst Deactivation, And Carbonates Production, Johnny Saavedra, Camilah Powell, Basu Panthi, Christopher J. Pursell, Bert D. Chandler

Chemistry Faculty Research

A commercially available Au/TiO₂ catalyst was subjected to a variety of thermal treatments in order to understand how variations in catalyst pretreatment procedures might affect CO oxidation catalysis. Catalytic activity was found to be inversely correlated to the temperature of the pretreatment. Infrared spectroscopy of adsorbed CO experiments, followed by a Temkin analysis of the data, indicated that the thermal treatments caused essentially no changes to the electronics of the Au particles; this, and a series of catalysis control experiments, and previous transmission electron microscopy (TEM) studies ruled out particle growth as a contributing factor to the activity loss. …

Science Goals And Overview Of The Radiation Belt Storm Probes (Rbsp) Energetic Particle, Composition, And Thermal Plasma (Ect) Suite On Nasa’S Van Allen Probes Mission, Harlan E. Spence, G. D. Reeves, D. N. Baker, J. B. Blake, M. Bolton, S. Bourdarie, A. A. Chan, S. G. Claudepierre, J. H. Clemmons, J. P. Cravens, S. R. Elkington, J. F. Fennell

Physics & Astronomy

The Radiation Belt Storm Probes (RBSP)-Energetic Particle, Composition, and Thermal Plasma (ECT) suite contains an innovative complement of particle instruments to ensure the highest quality measurements ever made in the inner magnetosphere and radiation belts. The coordinated RBSP-ECT particle measurements, analyzed in combination with fields and waves observations and state-of-the-art theory and modeling, are necessary for understanding the acceleration, global distribution, and variability of radiation belt electrons and ions, key science objectives of NASA’s Living With a Star program and the Van Allen Probes mission. The RBSP-ECT suite consists of three highly-coordinated instruments: the Magnetic Electron Ion Spectrometer (MagEIS), the …

The Magnetic Electron Ion Spectrometer (Mageis) Instruments Aboard The Radiation Belt Storm Probes (Rbsp) Spacecraft, J. B. Blake, P. A. Carranza, S. G. Claudepierre, J. H. Clemmons, W. R. Crain, Y. Dotan, J. F. Fennell, F. H. Fuentes, R. M. Galvan, J. S. George, M. G. Henderson, M. Lalic

Physics & Astronomy

This paper describes the Magnetic Electron Ion Spectrometer (MagEIS) instruments aboard the RBSP spacecraft from an instrumentation and engineering point of view. There are four magnetic spectrometers aboard each of the two spacecraft, one low-energy unit (20–240 keV), two medium-energy units (80–1200 keV), and a high-energy unit (800–4800 keV). The high unit also contains a proton telescope (55 keV–20 MeV). The magnetic spectrometers focus electrons within a selected energy pass band upon a focal plane of several silicon detectors where pulse-height analysis is used to determine if the energy of the incident electron is appropriate for the electron momentum selected …

Helium, Oxygen, Proton, And Electron (Hope) Mass Spectrometer For The Radiation Belt Storm Probes Mission, H. O. Funsten, R. M. Skoug, A. A. Guthrie, E. A. Macdonald, J. R. Baldonado, R. W. Harper, K. C. Henderson, K. H. Kihara, J. E. Lake, B. A. Larsen, A. D. Puckett, V. J. Vigil, Harlan E. Spence

Physics & Astronomy

The HOPE mass spectrometer of the Radiation Belt Storm Probes (RBSP) mission (renamed the Van Allen Probes) is designed to measure the in situ plasma ion and electron fluxes over 4π sr at each RBSP spacecraft within the terrestrial radiation belts. The scientific goal is to understand the underlying physical processes that govern the radiation belt structure and dynamics. Spectral measurements for both ions and electrons are acquired over 1 eV to 50 keV in 36 log-spaced steps at an energy resolution ΔE FWHM/E≈15 %. The dominant ion species (H+, He+, and O+) of the magnetosphere are identified using foil-based …

Delay Behavior Of On-Off Scheduling: Extending Idle Periods, Allen Roginsky, Ken Christensen, Mehrgan Mostowfi

Applied Mathematics & Information Sciences

On-off scheduling of systems that have the ability to sleep can be used to extend system idle periods and enable greater opportunities for energy savings from sleeping. In this paper, we achieve a theoretical understanding of the delay behavior of on-off scheduling as it may apply to communications links and other systems capable of sleeping. We consider a single-server coalescing queue with a scheduler that schedules on-off periods for the server in order to extend idle periods of the downstream link. At the start of an off period (duration To f f ) the server stops serving jobs immediately if …