Relevant bibliographies by topics / Download model

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Academic literature on the topic 'Download model'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Download model"

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Gurney, Jennifer M., Leopoldo C. Cancio, Michael Remley, Stacy Shackelford, and Rachel Rhodes. "557 Use of Online Clinical Guidelines for Burn Care in the Deployed Environment: A Model for Care in Rural or Remote Locations." Journal of Burn Care & Research 41, Supplement_1 (March 2020): S119. http://dx.doi.org/10.1093/jbcr/iraa024.185.

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Abstract Introduction During the last decade, our national Joint Trauma System (JTS) has served as the reference body for trauma care throughout our military. The JTS has published 63 Clinical Practice Guidelines (CPGs) on its website to set standards and to provide guidance for deployed providers in the management of challenging clinical scenarios. Given that there is limited burn expertise in the military, the JTS CPGs are a major source of information for most providers. It has been possible to track CPG download activity for over a year. We hypothesized that assessment of download activity would reflect the relative value of JTS CPGs. In particular, we aimed to document the value of burn-related CPGs. Methods Download activity was determined from data pulled for jts.amedd.army.mil, utilizing Google’s Digital Analytics Program (DAP), for 27 Feb 2018 to 3 Sep 2019. After refining results from all of the military down to jts.amedd.army.mil, a search was then launched to determine the top activities on the JTS webpage. An additional refinement was conducted to establish search-date parameters. Data were exported into an Excel spreadsheet for further analysis. The data were analyzed for specific titles and numbers of downloads; those downloads consistently appearing at the top of the download activity were split out and detailed. Results Downloading was consistently the top “event” or tangible action on the site. In 17 months, total CPG downloads from the JTS website were 75,901. Burn-related CPGs and supporting documents (e.g. Lund-Browder chart; resuscitation flowsheet) were downloaded 6,177 times. The next most frequently downloaded CPG was the traumatic brain injury (TBI) CPG, which was downloaded 6,041 times. If each guideline had equal distribution of downloads, they would each be downloaded 1,205 times; burn-related CPGs were download 5 times more frequently than the mean. Conclusions This study emphasizes the importance of burn-related CPGs to providers throughout the global continuum of care. These providers frequently work in expeditionary, remote and austere environments without rapid access to specialty surgical expertise. The use of detailed CPGs can help bridge this gap. Applicability of Research to Practice This model can be used for remote rural areas nationally and internationally. Computer-based tracking of CPG and educational material downloads can, furthermore, be used to identify ongoing educational needs.
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XU, Ying-ying, Nai-xiang AO, and Chang-jia CHEN. "Storage capacity model for cloud download." Journal of China Universities of Posts and Telecommunications 19, no. 5 (October 2012): 83–91. http://dx.doi.org/10.1016/s1005-8885(11)60304-x.

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Carrasco Viera, Jesús Alejandro, and José Ignacio Cruz Moreira. "Modelado del sistema automático de descargas e implementación del módulo de descargas automáticas." Sociedad & Tecnología 2, no. 2 (January 8, 2021): 14–21. http://dx.doi.org/10.51247/st.v2i2.9.

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La presente investigación se llevó a cabo en la Universidad de Cienfuegos con el fin de diseñar un sistema informático e implementar el módulo de Descargas Automáticas para el control, seguimiento y procesamiento automático de las solicitudes de descargas hechas por parte de los usuarios de la red de dicho centro. Para el desarrollo de la aplicación informática se utilizó la arquitectura cliente-servidor y el patrón Modelo Vista Controlador; se usó Python como lenguaje de programación del lado del servidor y el framework Django. El Sistema de Gesión de Base de Datos usado fue PostgresSQL, el Proceso Unificado de Desarrollo de Software como metodología de desarrollo de software, Visual Paradigm para UML como herramienta CASE y PyCharm como Entorno de Desarrollo Integrado. El sistema desarrollado mantiene un control del flujo de información que hasta ahora ocurría de forma manual y gestiona todas las solicitudes de descargas de los usuarios. Además, el módulo de Descargas Automáticas se encarga de procesar las descargas, informar a cada usuario el estado de su descarga y a cada administrador cualquier error que ocurra al procesar las solicitudes. También elimina cada archivo descargado luego que pase un determinado tiempo en los servidores. De esta forma se logró mejorar el proceso de solicitud de descarga en todos sus aspectos. Palabras clave: descarga, sistema automático de descarga, tareas programadas. ABSTRACT This research was carried out at the University of Cienfuegos in order to design a computer system and implement the Automatic Downloads module for the automatic control, monitoring and processing of download requests made by users of the Internet. said center. For the development of the computer application, the client-server architecture and the Model View Controller pattern were used; Python was used as the server-side programming language and the Django framework. The Database Management System used was PostgresSQL, the Unified Software Development Process as a software development methodology, Visual Paradigm for UML as a CASE tool and PyCharm as an Integrated Development Environment. The developed system maintains a control of the information flow that until now occurred manually and manages all the users' download requests. In addition, the Automatic Downloads module is responsible for processing downloads, informing each user of the status of their download and each administrator of any error that occurs when processing requests. It also deletes each downloaded file after it spends a certain time on the servers. In this way, the download request process was improved in all its aspects. Keywords: download, automatic download system, scheduled tasks.
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Rosati, Dora P., Matthew H. Woolhouse, Benjamin M. Bolker, and David J. D. Earn. "Modelling song popularity as a contagious process." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 477, no. 2253 (September 2021): 20210457. http://dx.doi.org/10.1098/rspa.2021.0457.

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Popular songs are often said to be ‘contagious’, ‘infectious’ or ‘viral’. We find that download count time series for many popular songs resemble infectious disease epidemic curves. This paper suggests infectious disease transmission models could help clarify mechanisms that contribute to the ‘spread’ of song preferences and how these mechanisms underlie song popularity. We analysed data from MixRadio, comprising song downloads through Nokia cell phones in Great Britain from 2007 to 2014. We compared the ability of the standard susceptible–infectious–recovered (SIR) epidemic model and a phenomenological (spline) model to fit download time series of popular songs. We fitted these same models to simulated epidemic time series generated by the SIR model. Song downloads are captured better by the SIR model, to the same extent that actual SIR simulations are fitted better by the SIR model than by splines. This suggests that the social processes underlying song popularity are similar to those that drive infectious disease transmission. We draw conclusions about song popularity within specific genres based on estimated SIR parameters. In particular, we argue that faster spread of preferences for Electronica songs may reflect stronger connectivity of the ‘susceptible community’, compared with the larger and broader community that listens to more common genres.
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Lupiáñez-Villanueva, Francisco, Frans Folkvord, and Mariek Vanden Abeele. "Influence of the Business Revenue, Recommendation, and Provider Models on Mobile Health App Adoption: Three-Country Experimental Vignette Study." JMIR mHealth and uHealth 8, no. 6 (June 4, 2020): e17272. http://dx.doi.org/10.2196/17272.

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Background Despite the worldwide growth in mobile health (mHealth) tools and the possible benefits of mHealth for patients and health care providers, scientific research examining factors explaining the adoption level of mHealth tools remains scarce. Objective We performed an experimental vignette study to investigate how four factors related to the business model of an mHealth app affect its adoption and users’ willingness to pay: (1) the revenue model (ie, sharing data with third parties vs accepting advertisements); (2) the data protection model (General Data Protection Regulation [GDPR]-compliant data handling vs nonGDPR-compliant data handling); (3) the recommendation model (ie, doctor vs patient recommendation); and (4) the provider model (ie, pharmaceutical vs medical association provider). In addition, health consciousness, health information orientation, and electronic health literacy were explored as intrapersonal predictors of adoption. Methods We conducted an experimental study in three countries, Spain (N=800), Germany (N=800), and the Netherlands (N=416), to assess the influence of multiple business models and intrapersonal characteristics on the willingness to pay and intention to download a health app. Results The revenue model did not affect willingness to pay or intentions to download the app in all three countries. In the Netherlands, data protection increased willingness to pay for the health app (P<.001). Moreover, in all three countries, data protection increased the likelihood of downloading the app (P<.001). In Germany (P=.04) and the Netherlands (P=.007), a doctor recommendation increased both willingness to pay and intention to download the health app. For all three countries, apps manufactured in association with a medical organization were more likely to be downloaded (P<.001). Finally, in all three countries, men, younger individuals, those with higher levels of education, and people with a health information orientation were willing to pay more for adoption of the health app and had a higher intention to download the app. Conclusions The finding that people want their data protected by legislation but are not willing to pay more for data protection suggests that in the context of mHealth, app privacy protection cannot be leveraged as a selling point. However, people do value a doctor recommendation and apps manufactured by a medical association, which particularly influence their intention to download an mHealth app.
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Ladwig, J. Parker, and Andrew J. Sommese. "Using Cited Half-life to Adjust Download Statistics." College & Research Libraries 66, no. 6 (November 1, 2005): 527–42. http://dx.doi.org/10.5860/crl.66.6.527.

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“Supplying accurate CPU [cost-per-serial use] information to faculty and appropriate marketing of the alternate modes of delivery ... become the key to achieving an optimal cost-efficient serials collection in an academic library.”1 A model is presented for adjusting use statistics using a journal’s ISI Journal Citation Reports cited half-life. The goal is to improve the method used to evaluate the raw electronic download figure. The proposed model will still undercount total use, but the undercounting will be proportional across disciplines and less severe. By using this model, librarians can avoid making cancellation decisions that may cost their libraries more money in the long run.
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Ordóñez-Morales, Esteban Fernando, Martín López-Nores, Yolanda Blanco-Fernández, Efren Patricio Reinoso-Mendoza, Jack Fernando Bravo-Torres, José Víctor Saiáns-Vázquez, José Juan Pazos-Arias, Manuel Ramos-Cabrer, and Alberto Gil-Solla. "Sporadic Cloud-Based Mobile Augmentation on the Top of a Virtualization Layer: A Case Study of Collaborative Downloads in VANETs." Journal of Advanced Transportation 2019 (March 21, 2019): 1–21. http://dx.doi.org/10.1155/2019/3548213.

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Current approaches to Cloud-based Mobile Augmentation (CMA) leverage (cloud-based) resources to meet the requirements of rich mobile applications, so that a terminal (the so-called application node or AppN) can borrow resources lent by a set of collaborator nodes (CNs). In the most sophisticated approaches proposed for vehicular scenarios, the collaborators are nearby vehicles that must remain together near the application node because the augmentation service is interrupted when they move apart. This leads to disruption in the execution of the applications and consequently impoverishes the mobile users’ experience. This paper describes a CMA approach that is able to restore the augmentation service transparently when AppNs and CNs separate. The functioning is illustrated by a NaaS model where the AppNs access web contents that are collaboratively downloaded by a set of CNs, exploiting both roadside units and opportunistic networking. The performance of the resulting approach has been evaluated via simulations, achieving promising results in terms of number of downloads, average download times, and network overhead.
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Moreira, Átila Valgueiro Malta, Vicente Filho, and Geber Ramalho. "Which features matter to make a successful mobile game?" Journal on Interactive Systems 5, no. 2 (November 6, 2014): 1. http://dx.doi.org/10.5753/jis.2014.645.

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As mobile game distribution costs gets near zero, the number of available games on app stores, which is already enormous, continues to grow. It gets increasingly difficult for game developers to build a mobile game and achieve the top positions on charts. With it in mind, this paper’s main purpose is to investigate the relationship between game features and the performance achieved by mobile games in terms of number of downloads and gross revenue. A total of 37 game features were analyzed in order to study how each of them influence mobile games’ performance on app stores. The performance of mobile games is measured based on their current position in download and revenue charts on Google Play store. A linear regression model that maps game features and charts performance is trained using a M5 prime classifier and data from 64 mobile games. Results show how each game feature influences the download and revenue performance of successful mobile games.
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Plebankiewicz, Edyta. "https://journals.vgtu.lt/index.php/JCEM/article/download/6449/5589." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 15, no. 4 (December 31, 2009): 377–85. http://dx.doi.org/10.3846/1392-3730.2009.15.377-385.

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Contractor prequalification makes it possible to admit for tendering only competent contractors. The undertaken decisions demand taking into consideration many criteria, including among others, experience and financial standing of the candidates. It is often difficult to be quantified. The objectives of the construction owner in a given project are also meaningful. All these factors cause difficulties in working out a mathematical prequalification model. In the paper a model based on fuzzy sets theory is proposed. It takes into consideration both different criteria, objectives and evaluations of numerous decision ‐ makers. To illustrate the model operation a simple numerical example is presented. Santrauka Išankstinis rangovų kvalifikacijos vertinimas leidžia dalyvauti konkurse tik kompetentingiems rangovams. Priimant pradinį sprendimą, reikia atsižvelgti į daugelį kriterijų, tarp jų į kandidatų patirtį ir jų finansinę padėtį. Šiuos kriterijus paprastai sunku įvertinti kiekybine išraiška. Taip pat svarbūs ir statytojo tikslai nagrinėjamame projekte. Šie išvardyti veiksniai sukelia sunkumų, rengiant matematinį išankstinio rangovų vertinimo modelį. Straipsnyje pasiūlytas neapibrėžtųjų aibių teorija pagrįstas modelis. Jis apima skirtingus kriterijus, tikslus ir sprendimus priimančių asmenų gausius vertinimus. Pateiktas nesudėtingas skaičiavimo pavyzdys rodo pasiūlyto modelio taikymą.
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Jacobs, Perke, and Gerd Gigerenzer. "Using variation between countries to estimate demand for Cochrane reviews when access is free: a cost–benefit analysis." BMJ Open 11, no. 7 (July 2021): e033310. http://dx.doi.org/10.1136/bmjopen-2019-033310.

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ObjectivesCochrane reviews are currently of limited use as many healthcare professionals and patients have no access to them. Most member states of the Organisation for Economic Co-operation and Development (OECD) choose not to pay for nationwide access to the reviews, possibly uncertain whether there is enough demand to warrant the costs of a national subscription. This study estimates the demand for review downloads and summary views under free access across all OECD countries.DesignThe study employs a retrospective design in analysing observational data of web traffic to Cochrane websites in 2014. Specifically, we model for each country downloads of Cochrane reviews and views of online summaries as a function of free access status and alternative sources of variation across countries. The model is then used to estimate demand if a country with restricted access were to purchase free access. We use these estimates to perform a cost-benefit analysis.ResultsFor one group of eight OECD countries, the additional downloads under free access are estimated to cost between US$4 and more than US$20 each. Three countries are expected to save money under free access, as existing institutional subscriptions would no longer be needed. For the largest group of 17 member states, free access is estimated to cost US$0.05–US$2 per additional review download. On average, the increase in review downloads does not appear to be associated with a decrease in the number of summary views. Instead, translations of plain-language summaries into national languages can serve as an additional strategy for dissemination.ConclusionsWe estimate that free access would cost less than US$2 per additional download for 20 of the 28 OECD countries without national subscriptions, including Canada, Germany and Israel. These countries may be encouraged by our findings to provide free access to their citizens.
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Dissertations / Theses on the topic "Download model"

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Riba, Chad Alan. "Circulation control for download wake reduction on a scaled V-22 model." Morgantown, W. Va. : [West Virginia University Libraries], 2003. http://etd.wvu.edu/templates/showETD.cfm?recnum=2902.

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Thesis (M.S.)--West Virginia University, 2003.
Title from document title page. Document formatted into pages; contains x, 87 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 72-73).
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Schmid, Christoph Manuel. "Extreme values of Gaussian processes and a heterogeneous multi agents model." [S.l.] : [s.n.], 2002. http://www.zb.unibe.ch/download/eldiss/02schmid_c.pdf.

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Dabbous, Fouad. "App download decision from the perspective of Transaction Costs influence on App revenue model." Thesis, Blekinge Tekniska Högskola, Institutionen för industriell ekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15352.

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Despite the huge market size of mobile applications and the large number of involved stakeholders fewresearch about app users’ intentions to download apps and factors affecting their decision had been carriedout. Current study examine app download decision from a transaction costs perspective and the effect of itselements on app download taking into consideration free and paid revenue model type for app. An onlinesurvey is developed to collect field data. One hundred and one valid response are obtained and used to testthe proposed research model. The findings indicated that transaction costs for app and market weresignificant driving factors that negatively impacted download for free model. Temporal asset specificityshowed to be an essential driving factor for app download. The research model gave positive indicationsabout transaction costs theory being a good framework to analyze app download decision.
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Chowdhury, H. (Helal). "Data download on the move in visible light communications:design and analysis." Doctoral thesis, Oulun yliopisto, 2016. http://urn.fi/urn:isbn:9789526213620.

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Abstract In visible light communication (VLC), light emitting diodes (LEDs) are used as transmitters; the air is the transmission medium and the photodiodes are used for receivers. This is often referred to as light fidelity (Li-Fi). In this thesis, we provide the methodology to evaluate the performance of VLC hotspot networks in the context of data downloading on the move scenarios by using throughput-distance relationship models. In this context, first we study the different properties of optical transceiver elements, noise sources, characterization and modelling of artificial light interference, different link topologies and then we introduce the throughput-distance relationship model. Secondly, the analytically based throughput-distance relationship has been developed for evaluating the performance of VLC hotspot networks in indoor environment in both day and night conditions. Simulation results reveal that background noise has a significant impact on the performance of VLC hotspots. As expected, in both indoor and outdoor environments the VLC hotspot performs better at night than during day. The performance of VLC hotspot networks is also quantified in terms of received file size at different bit error rate requirements and velocities of the mobile user. Thirdly, we study the performance of hybrid (Radio-Optical) WLAN-VLC hotspot and compare its performance with stand-alone VLC-only or WLAN-only hotspot cases. In this case, we also consider the data download on the move scenarios in an indoor environment for a single-user as well as for multi-user cases. In this hybrid WLAN-VLC hotspot, both the WLAN and the VLC are characterized by their throughput and communication range. Simulations have been performed to evaluate the performance of such network for data downloading on the move scenario by taking into account performance metrics such as filesize, average connectivity and system throughput. Simulation results reveal that the considered hybrid WLAN-VLC performs always better than stand-alone VLC-only or WLAN-only hotspot both for a single and multi-user cases. Finally, this thesis analyses the feasibility and potential benefits of using hybrid radio-optical wireless systems. In this respect, cooperative communication using optical relays are also introduced in order to increase the coverage and energy efficiency of the battery operated device. Potential benefits are identified as service connectivity and energy efficiency of battery operated device in an indoor environment. Simulation results reveal that user connectivity and energy efficiency depend on user density, coverage range ratio between single-hop and multi-hop, relay probabilities and mobility of the user
Tiivistelmä Näkyvään valoon pohjautuvassa tiedonsiirrossa (VLC) valodiodeja (LED) käytetään lähettiminä, ilma on siirtokanava ja valoilmaisimia käytetään vastaanottimina. Tätä kutsutaan usein nimellä light fidelity (Li-Fi). Tässä työssä tarjoamme menetelmiä VLC ”hotspot” verkkojen suorituskyvyn arviointiin tiedonsiirtonopeus-etäisyysmalleilla skenaarioissa, jossa tietoa ladataan liikkeessä. Tässä kontekstissa tutkimme ensin optisen lähettimen komponenttien eri ominaisuuksia, kohinan lähteitä, keinovalon häiriömalleja ja tiedonsiirtolinkkien topologioita, jonka jälkeen esittelemme tiedonsiirtonopeuden ja etäisyyden välisen mallin. Toiseksi kehitetyn analyyttisen tiedonsiirto-etäisyys mallia käytetään arvioitaessa VLC hotspot verkkojen suorituskykyä sisäympäristössä sekä päivä että yö olosuhteissa. Simulointien tulokset osoittavat, että taustakohinalla on suuri vaikutus VLC verkkojen suorituskykyyn. Kuten odotettua, sisä- ja ulkotiloissa VLC hotspot toimii paremmin yöllä kuin päivällä. VLC hotspot verkkojen suorituskyky arvioidaan myös vastaanotetun tiedoston koon, eri bittivirhesuhteen vaatimuksilla ja liikkuvan käyttäjän nopeuden suhteen. Kolmanneksi tutkimme hybridi WLAN-VLC hotspot verkon suorituskykyä ja vertaamme sen suorituskykyä pelkän VLC- tai WLAN hotspot tapauksessa. Käsittelemme myös skenaarioita jossa tiedoston lataus tapahtuu liikkeessä sisätilassa yhden käyttäjän sekä monen käyttäjän tapauksissa. Tässä hybridi WLAN-VLC hotspot, sekä erilliset WLAN- ja VLC verkot ovat määritelty niiden tiedonsiirtonopeuden ja kantaman perusteella. Näiden verkkojen suorituskykyä arvioitaessa on tehty joukko tietokonesimulointeja verkossa tapahtuvasta tietojen lataamisesta liikkeessä ottamalla huomioon suorituskyvyn mittarit kuten tiedoston koko, keskimääräinen yhteyden kesto ja saavutettu läpäisy. Simuloinnin tulokset paljastavat, että hybridi WLAN-VLC toimii aina paremmin kuin pelkkä VLC tai WLAN hotspot sekä yhden että monen käyttäjän tapauksessa. Lopuksi työssä analysoidaan ehdotetun järjestelmän toteutettavuus ja mahdolliset edut käytettäessä hybridejä radio-optisia langattomia järjestelmiä. Tältä osin esitellään myös kooperatiiviseen viestintään perustuvat optiset releet parantamaan verkon kattavuutta ja energiatehokkuutta akkukäyttöisissä laitteissa. Mahdolliset hyödyt tunnistetaan palvelun konnektiivisuudessa ja energiatehokkuudessa akkukäyttöisissä laitteissa sisätiloissa. Simulointien tulokset osoittavat, että käyttäjien konnektiivisuus ja energiatehokkuus riippuvat käyttäjätiheydestä, kantaman ja etäisyyden välisestä suhteesta yhden hypyn ja monen hypyn välillä, releointi todennäköisyydestä ja käyttäjien mobiliteetista
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Schaffner, Monika. "Applying a material flow analysis model to assess river water pollution and mitigation potentials : a case-study in the Thachin river basin, Central Thailand /." [S.l.] : [s.n.], 2007. http://www.zb.unibe.ch/download/eldiss/07schaffner_m.pdf.

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Hopkins, Ashley R. "Privacy Within Photo-Sharing and Gaming Applications: Motivation and Opportunity and the Decision to Download." Ohio University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1556821782704244.

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Harris, Ainslie J. "A model of key characteristics affecting consumer attitudes toward the usage of free legitimate ad-supported music download services." Thesis, Robert Gordon University, 2013. http://hdl.handle.net/10059/846.

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Digital music file sharing has had a significant negative financial impact on the recorded music industry, causing multi-billion dollar losses over the past decade. In a world where file sharing is now an activity that can be carried out with ease, industry stakeholders are continuously looking for ways to profit from changing consumer behaviour. To date, literature has looked at why people illicitly download (e.g. motivations, ethical considerations), the financial impact of file sharing (e.g. lost revenue), legal approaches to combatting file sharing (e.g. what approaches work, if any), and new business models for paid services (e.g. price sensitivity, value propositions). Academic literature has thus far largely focused on how to eliminate file sharing and convert illicit downloaders to paid platforms, but has not examined the potential for converting illicit downloaders to a free legitimate, platform. This thesis is the first piece of academic literature to consider free legitimate adsupported music download services as a way of monetizing downloaders’ free consumption behaviour, specifically by identifying key service characteristics that influence consumers' attitudes toward using such services, and providing a rich contextual understanding of the perceived importance and value of such characteristics. A sequential mixed methods approach was used to explore this topic and develop and validate a conceptual model. The primary research stages consisted of in-depth interviews, group interviews, and an online survey. This thesis shows there is potential for mainstream consumer adoption of free legitimate ad-supported music download services, with the caveat that the services be as good as or better than those (free services) already used. Several characteristics were found to be important influencers of attitudes in this regard. Some characteristics were found to be very important (perception of a large enough music catalogue, freedom of use of downloaded files, delays caused by advertising not being perceived as excessive), some were found to be less important (ease of navigation/use, perceived trustworthiness of the service), and some were found to be not at all important (ability of the service to recommend music, social networking facilitation via the service). While this thesis identifies what an ‘ideal’ service looks like for consumers, it also finds that tension exists in the economic relationship between consumer behaviour and ideals, and what industry is able to viably deliver in an adsupported service. The structure and conditions of today’s marketplace are such that the fundamental economic viability of free ad-supported music download services is brought into question, irrespective of whether such a service can meet consumers’ needs. While this thesis is specifically concerned with music download services, the model developed within it could be tested for other online content services such as streaming music or video, and video download services.
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Li, Zemeng. "Improving Transmission Efficiency and Scalability for Peer-to-Peer Live Streaming." Case Western Reserve University School of Graduate Studies / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1275877464.

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Nkala, Dumisani Nomagugu. "Towards a model for digital distribution and value capture in the South African music industry." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/22812.

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New digital distribution and value capture models have emerged on the global music industry scene in the last ten years. These models are highly dependent on a strong underlying communications and broadband internet infrastructure which is largely present in most developed markets. South Africa, however, is a developing country whose broadband infrastructure is still nascent and not as widely available or accessible. Due to the permeation of mobile technology, most broadband internet access is likely to occur through the mobile networks in most developing markets. This stands in stark contrast to developed markets where broadband internet access occurs primarily via fixed line infrastructure with mobile as a secondary option.This research set out to investigate whether digital value distribution and value capture models which succeeded in developed countries would be suitable for the South African music industry given the broadband infrastructure constraints and the different internet access methodologies prevalent in this developing market. This research employed an exploratory research methodology in order to investigate this question and found that a mixture of value distribution and value capture models would address the entire market requirement, with mobile-centric digital distribution models being most suitable for mass market deployment.
Dissertation (MBA)--University of Pretoria, 2012.
Gordon Institute of Business Science (GIBS)
unrestricted
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Gérémie, Lauriane. "Development of an in-vitro intestinal model featuring peristaltic motion." Thesis, Sorbonne université, 2019. http://accesdistant.sorbonne-universite.fr/login?url=http://theses-intra.upmc.fr/modules/resources/download/theses/2019SORUS118.pdf.

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Le Gut-on-chip fait partie d'un thème de recherche plus générale, appelez Organ-on-chip qui a pour objectif de développer des modèles in-vitro qui récapitulent des caractéristiques essentielles de l'organe d'intérêt. Dans le cas de l'intestin, les Gut-on-chip plateformes ont été principalement développés pour reconstituer soit l'architecture 3D de l'intestin, soit sa dynamique et plus particulièrement le péristaltisme. Durant ma thèse j'ai développé une nouvelle et polyvalente Gut-on-chip, présentant ces deux aspects du micro-environnement intestinale. Cette Peristalsis-on-chip nous a permis d'étudier l'influence du mouvement péristaltique sur le comportement cellulaire en fonction de la géométrie de la structure. Pour cette étude nous avons ensemencé des cellules Caco2 sur des substrats 2D ou 3D recouvert de laminine et les avons soumis à un étirement cyclique (à 0.2 Hz et 10\%) pendant 2, 5, 8, 16, 24 et 48 heures. Lors de ces expériences nous avons pu observer une réorientation cellulaire perpendiculaire à l'axe d'étirement que nous avons caractérisé en fonction des conditions de recouvrement, de la confluence initiale, du temps d'étirement et de la géométrie de la structure. Il est intéressant de noter que la réponse cellulaire la plus importante a été obtenue par la combinaison de la géométrie 3D et de l'étirement, ce qui illustre bien le besoin de ces deux éléments pour mieux mimer les conditions intestinales in vivo
My PhD work is part of the organ-on-chip field, and more precisely part of the gut-on-chip field. It is in line with the main objective of this field, which is the development of in-vitro models recapitulating as faithfully as possible the intestinal micro-environment. Through my PhD work I first developed a versatile gut-on-chip platform recapitulating the intestinal 3D architecture as well as its dynamic micro-environment. Therefore, this platform allows us to study the influence of the intestinal dynamic, especially the peristalsis, on cellular behavior in function of the 3D architecture of the scaffold. For this study Caco2 cells have been seeded either on a 2D or a 3D scaffold coated with laminin and submitted to a cyclic stretching (at 0.2 Hz and 10%) for 2, 5, 8, 16, 24 and 48 hours. Our main observation was the cellular reorientation induced by the stretching, therefore we characterized the cell behavior in function of the coating condition, the initial confluency, the stretching time and the scaffold geometry. Interestingly, the strongest cellular response was obtained when the 3D geometry and the stretching was combined illustrating the need of these two stimuli to better mimic the intestinal in vivo conditions
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Books on the topic "Download model"

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Valuation + DCF Model Download: Measuring and Managing the Value of Companies. Wiley & Sons, Incorporated, John, 2015.

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Book chapters on the topic "Download model"

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Wu, Zexun. "Research of High Definition Download Model Based on P2P&DRM." In Advances in Intelligent Systems and Computing, 105–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33030-8_18.

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Kim, Tae Ok, Jin Soo Park, Kyung Jae Kim, and Bong Dae Choi. "Analytical Model of IEEE 802.15.4 Non-beacon Mode with Download Traffic by the Piggyback Method." In Lecture Notes in Computer Science, 435–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74784-0_44.

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Wang, Shanshan, Wenjun Wu, and Xuan Zhou. "App Store Analysis: Using Regression Model for App Downloads Prediction." In Communications in Computer and Information Science, 206–20. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2053-7_19.

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Aldwairi, Monther, Musaab Hasan, and Zayed Balbahaith. "Detection of Drive-by Download Attacks Using Machine Learning Approach." In Cognitive Analytics, 1598–611. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2460-2.ch082.

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Drive-by download refers to attacks that automatically download malwares to user's computer without his knowledge or consent. This type of attack is accomplished by exploiting web browsers and plugins vulnerabilities. The damage may include data leakage leading to financial loss. Traditional antivirus and intrusion detection systems are not efficient against such attacks. Researchers proposed plenty of detection approaches mostly passive blacklisting. However, a few proposed dynamic classification techniques, which suffer from clear shortcomings. In this paper, we propose a novel approach to detect drive-by download infected web pages based on extracted features from their source code. We test 23 different machine learning classifiers using data set of 5435 webpages and based on the detection accuracy we selected the top five to build our detection model. The approach is expected to serve as a base for implementing and developing anti drive-by download programs. We develop a graphical user interface program to allow the end user to examine the URL before visiting the website. The Bagged Trees classifier exhibited the highest accuracy of 90.1% and reported 96.24% true positive and 26.07% false positive rate.
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Maso, Joan, Alaitz Zabala Torres, and Peter Baumann. "New Model for Geospatial Coverages in JSON." In Advances in Data Mining and Database Management, 316–57. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8446-9.ch015.

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Map browsers currently in place present maps and geospatial information using common image formats such as JPEG or PNG, usually created from a service on demand. This is a clear approach for a simple visualization map browser but prevents the browser from modifying the visualization since the content of the image file represents the intensity of colors of each pixel. In a desktop GIS, a coverage dataset is an array of values quantifying a certain property in each pixel of a subdomain of the space. The standard used to describe and distribute coverages is called web coverage service (WCS). Traditionally, encoding of coverages was too complex for map browsers implemented in JavaScript, relegating the WCS to a data download, a process that creates a file that will be later used in a desktop GIS. The combination of a coverage implementation schema in JSON, binary arrays, and HTML5 canvas makes it possible that web map browsers can be directly implemented in JavaScript.
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Li, Yale, Yushi Shen, and Yudong Liu. "Cloud Computing Networks." In Cloud Technology, 648–59. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6539-2.ch030.

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Cloud Computing has the potential to trigger a major computing model transformation for the IT industry. This chapter briefly describes the business and technical benefits of Cloud Computing and explains the technical challenges in Cloud Computing, such as the network bottleneck. One of the solutions to address the network problem is the Content Delivery Network (CDN). Here, the basics of the Akamai CDN technology is digested. Then, the authors conduct a CDN experiment in the Microsoft public cloud, Windows Azure, to demonstrate the benefits of CDN integration with the cloud. The results show significant gain in large data download by the utilization of a CDN. Finally, a couple of academic research ideas are summarized for future improvements on the CDN model.
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Briz-Ponce, Laura, Juan Antonio Juanes-Méndez, and Francisco José García-Peñalvo. "A Research Contribution to the Analysis of Mobile Devices in Higher Education from Medical Students' Point of View." In Handbook of Research on Mobile Devices and Applications in Higher Education Settings, 196–221. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0256-2.ch009.

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This paper attempts to provide some insights about the use and perception of undergraduate students about the applications of these devices at University and the importance they give to the adoption of mobile technologies in their education. The methodology used for this purpose was a designed survey distributed to different undergraduate students of Medical Schools from University of Salamanca. It collects information of the most relevant aspects that the students consider when they interact with mobile devices, how often they use them and the type of apps they download. Also, it makes an especial mention of training apps and their handling by the participants. The survey is based on the Technological Acceptance model of Davis. This model helps us to understand the current situation of mobile technologies from the point of view of students. This paper also analyses the existing relationships between the different factors that could influence in their attitude to accept the mobile technology.
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Bhende, Manisha, Shubhangi Mapare, Divya Rokde, Kalyani Pramod Chaudhary, and Snehal Vikas Mali. "COVID-19 Data Forecasting and Spread Visualization Using ML." In Advances in Healthcare Information Systems and Administration, 148–67. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-7998-7709-7.ch009.

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The COVID-19 global pandemic has affected everyone's day-to-day life. The COVID spread data is increasing rapidly which needs to be visualized in some format. The statistical data includes infected, recovered, and the death count which is visualized by various tools. This project presents an interactive dynamic dashboard to display the details about the COVID-19 patient reports, scheduled reports, timely reports, geographical reports including state-wise, district wise. It should have options to display the metrics using charts, graphs, etc. Application features include registration, download report in multiple formats, email the report, schedule a report, share a report. Users can check for Epass availability; the decision will be taken by checking the covid-affected counts on the source and destination. Patient details will be stored in the cloud. The model includes a prediction of upcoming covid-affected count using ML.
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Mansukhani, Marcus, He Ye, and Ma Zhaoran. "Exploiting P2P in New Media Distribution." In Digital Rights Management, 479–87. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2136-7.ch022.

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P2P is currently the most contentious area of Interactive Digital Media on the Internet. It continues to grow in popularity at a phenomenal rate while media producers are seemingly stuck in a cycle of who needs to be prosecuted to prevent this form of piracy, and the majority feel that content should be paid for either to own or to rent with a Digital Rights Management time bomb. An alternative method of paying for the licence to download is presented by two self styled media futurists, and they conclude that it is easier for the industry to adapt to a market based on something that continues to feel like free rather than trying to enforce a model that is clearly not working at the moment and brands hundreds of millions of Internet users criminals. One proposal is that a US$5 monthly licence would produce an income of US$3 billion to the music industry. We explore how this could be extended to the digital media.
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Mansukhani, Marcus, He Ye, and Ma Zhaoran. "Exploiting P2P in New Media Distribution." In Understanding the Interactive Digital Media Marketplace, 142–50. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-61350-147-4.ch014.

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P2P is currently the most contentious area of Interactive Digital Media on the Internet. It continues to grow in popularity at a phenomenal rate while media producers are seemingly stuck in a cycle of who needs to be prosecuted to prevent this form of piracy, and the majority feel that content should be paid for either to own or to rent with a Digital Rights Management time bomb. An alternative method of paying for the licence to download is presented by two self styled media futurists, and they conclude that it is easier for the industry to adapt to a market based on something that continues to feel like free rather than trying to enforce a model that is clearly not working at the moment and brands hundreds of millions of Internet users criminals. One proposal is that a US$5 monthly licence would produce an income of US$3 billion to the music industry. We explore how this could be extended to the digital media.
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Conference papers on the topic "Download model"

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Cohen, Eli. "Created Realities: A Model." In InSITE 2021: Informing Science + IT Education Conferences. Informing Science Institute, 2021. http://dx.doi.org/10.28945/4764.

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The purpose of this paper is to provide a model to help explain why ideas about reality differ. Misinformation is an important topic that in the past several years has gained prominence. The author developed a model of informing. NOTE: This Proceedings paper was revised and published in Informing Science: The International Journal of an Emerging Transdiscipline, 24, 31-49. Click DOWNLOAD PDF to download the published paper.
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Kim, Tae Ok, Jin Soo Park, and Bong Dae Choi. "Analytic Model of IEEE 802.15.4 with Download Traffic." In 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07). IEEE, 2007. http://dx.doi.org/10.1109/ainaw.2007.95.

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Sabetghadam, Serwah, Mahdi Niamanesh, and Javad Esmaeili. "A Model for Assured Software Download on Mobile Terminals." In 2009 WRI International Conference on Communications and Mobile Computing (CMC). IEEE, 2009. http://dx.doi.org/10.1109/cmc.2009.332.

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Grife, Ronald, Amir Darabai, and Israel Wygnanski. "Download Reduction on a Three Dimensional V-22 Model Using Active Flow Control." In 1st Flow Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-3071.

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Mišković, Aleksandar, and Srđan Atanasijević. "Analysis of the pull method for CRL list download by PKI simulation model." In Sinteza 2014. Belgrade, Serbia: Singidunum University, 2014. http://dx.doi.org/10.15308/sinteza-2014-620-624.

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Wang, Yingzi, Nicholas Jing Yuan, Yu Sun, Chuan Qin, and Xing Xie. "App Download Forecasting: An Evolutionary Hierarchical Competition Approach." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/415.

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Product sales forecasting enables comprehensive understanding of products' future development, making it of particular interest for companies to improve their business, for investors to measure the values of firms, and for users to capture the trends of a market. Recent studies show that the complex competition interactions among products directly influence products' future development. However, most existing approaches fail to model the evolutionary competition among products and lack the capability to organically reflect multi-level competition analysis in sales forecasting. To address these problems, we propose the Evolutionary Hierarchical Competition Model (EHCM), which effectively considers the time-evolving multi-level competition among products. The EHCM model systematically integrates hierarchical competition analysis with multi-scale time series forecasting. Extensive experiments using a real-world app download dataset show that EHCM outperforms state-of-the-art methods in various forecasting granularities.
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Manini, Daniele, and Marco Gribaudo. "Modelling Search, Availability, and Parallel Download in P2P File Sharing Applications with Fluid Model." In 2006 International Conference on Advanced Computing and Communications. IEEE, 2006. http://dx.doi.org/10.1109/adcom.2006.4289934.

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Wei, Dengwen, Zaobin Gan, and Xiongbo Xia. "A Unified Framework for Digital Content Management Business Model-Ring-Tone Download as Case Study." In 2008 IEEE Asia-Pacific Services Computing Conference (APSCC). IEEE, 2008. http://dx.doi.org/10.1109/apscc.2008.176.

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Jeannin, Nicolas, Laurent Castanet, and Frédéric Lacoste. "Space-time channel model for the analysis of LEO to ground Ka band data download links. Presentation of the model and applications." In 31st AIAA International Communications Satellite Systems Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-5670.

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Schmalzel, M., P. Varghese, and I. Wygnanski. "Download Alleviation on a V-22 Model Having a Simple Flap Used in Conjunction With Periodic Excitation, Suction and Blowing." In Aerospace Technology Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2005. http://dx.doi.org/10.4271/2005-01-3188.

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Reports on the topic "Download model"

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Wissink, Andrew, Jude Dylan, Buvana Jayaraman, Beatrice Roget, Vinod Lakshminarayan, Jayanarayanan Sitaraman, Andrew Bauer, James Forsythe, Robert Trigg, and Nicholas Peters. New capabilities in CREATE™-AV Helios Version 11. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40883.

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CREATE™-AV Helios is a high-fidelity coupled CFD/CSD infrastructure developed by the U.S. Dept. of Defense for aeromechanics predictions of rotorcraft. This paper discusses new capabilities added to Helios version 11.0. A new fast-running reduced order aerodynamics option called ROAM has been added to enable faster-turnaround analysis. ROAM is Cartesian-based, employing an actuator line model for the rotor and an immersed boundary model for the fuselage. No near-body grid generation is required and simulations are significantly faster through a combination of larger timesteps and reduced cost per step. ROAM calculations of the JVX tiltrotor configuration give a comparably accurate download prediction to traditional body-fitted calculations with Helios, at 50X less computational cost. The unsteady wake in ROAM is not as well resolved, but wake interactions may be a less critical issue for many design considerations. The second capability discussed is the addition of six-degree-of-freedom capability to model store separation. Helios calculations of a generic wing/store/pylon case with the new 6-DOF capability are found to match identically to calculations with CREATE™-AV Kestrel, a code which has been extensively validated for store separation calculations over the past decade.
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Over, Thomas, Riki Saito, Andrea Veilleux, Padraic O’Shea, Jennifer Sharpe, David Soong, and Audrey Ishii. Estimation of Peak Discharge Quantiles for Selected Annual Exceedance Probabilities in Northeastern Illinois. Illinois Center for Transportation, June 2016. http://dx.doi.org/10.36501/0197-9191/16-014.

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This report provides two sets of equations for estimating peak discharge quantiles at annual exceedance probabilities (AEPs) of 0.50, 0.20, 0.10, 0.04, 0.02, 0.01, 0.005, and 0.002 (recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively) for watersheds in Illinois based on annual maximum peak discharge data from 117 watersheds in and near northeastern Illinois. One set of equations was developed through a temporal analysis with a two-step least squares-quantile regression technique that measures the average effect of changes in the urbanization of the watersheds used in the study. The resulting equations can be used to adjust rural peak discharge quantiles for the effect of urbanization, and in this study the equations also were used to adjust the annual maximum peak discharges from the study watersheds to 2010 urbanization conditions. The other set of equations was developed by a spatial analysis. This analysis used generalized least-squares regression to fit the peak discharge quantiles computed from the urbanization-adjusted annual maximum peak discharges from the study watersheds to drainage-basin characteristics. The peak discharge quantiles were computed by using the Expected Moments Algorithm following the removal of potentially influential low floods defined by a multiple Grubbs-Beck test. To improve the quantile estimates, regional skew coefficients were obtained from a newly developed regional skew model in which the skew increases with the urbanized land use fraction. The skew coefficient values for each streamgage were then computed as the variance-weighted average of at-site and regional skew coefficients. The drainage-basin characteristics used as explanatory variables in the spatial analysis include drainage area, the fraction of developed land, the fraction of land with poorly drained soils or likely water, and the basin slope estimated as the ratio of the basin relief to basin perimeter. This report also provides: (1) examples to illustrate the use of the spatial and urbanization-adjustment equations for estimating peak discharge quantiles at ungaged sites and to improve flood-quantile estimates at and near a gaged site; (2) the urbanization-adjusted annual maximum peak discharges and peak discharge quantile estimates at streamgages from 181 watersheds including the 117 study watersheds and 64 additional watersheds in the study region that were originally considered for use in the study but later deemed to be redundant. The urbanization-adjustment equations, spatial regression equations, and peak discharge quantile estimates developed in this study will be made available in the web-based application StreamStats, which provides automated regression-equation solutions for user-selected stream locations. Figures and tables comparing the observed and urbanization-adjusted peak discharge records by streamgage are provided at http://dx.doi.org/10.3133/sir20165050 for download.
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