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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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Gu, Jie, Yunjie (Calvin) Xu, Heng Xu, Cheng Zhang, and Hong Ling. "Privacy concerns for mobile app download: An elaboration likelihood model perspective." Decision Support Systems 94 (February 2017): 19–28. http://dx.doi.org/10.1016/j.dss.2016.10.002.
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Cherdantsev, Nikolai. "http://www.mining-science.ru/download/2020/3/04.pdf." Izvestiya vysshikh uchebnykh zavedenii Gornyi zhurnal, no. 3 (May 14, 2020): 31–38. http://dx.doi.org/10.21440/0536-1028-2020-3-31-38.
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Introduction. Reliable forecasts of pillars geomechanical state are required to ensure rhythmic and safe work when mining a coal bed. Research aim is to construct a state model of the coal pillar located between the headways, based on the fundamental methods of elasticity theory and mechanics of a granular media, carry out a computational experiment within the model, and analyse the results. Methodology. The stress field in the coal pillar has been constructed in the course of solving the elastoplastic problem. By replacing the ultimately stressed marginal zone of the bed with the stresses which act within the zone, the problem has been reduced to the second exterior boundary value problem of elasticity theory and has been solved by the boundary element method. Ordinary and special Coulomb–Mohr criteria simultaneously fulfilled for the coal bed and rock mass contact are the criterion of the limit state onset. Actual pillar load is determined by integrating the vertical stress curve along the bed roof, which has been obtained from elastoplastic problem solution, while the ultimate load is determined from the condition that the whole pillar is in ultimately stressed state. Results. The dependence between the safety factor of the pillar between two identical headways, determined by V. D. Shevyakov method, and the growth of its width represents a graph in the form of a monotonically increasing curve. The curve flattens as soon as the depth increases. Summary. The results from the developed model of coal rock mass geomechanical state can be successfully used as coal pillar strength forecasts.
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Mylapore, Anand Radhakrishnan, and Fredric H. Schmitz. "An Experimental Investigation of Ground Effect on a Quad Tilt Rotor in Hover." Journal of the American Helicopter Society 60, no. 1 (January 1, 2015): 1–14. http://dx.doi.org/10.4050/jahs.60.012002.
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The performance of a 0.031 geometrically scaled fuselage/wing model of a Quad Tilt Rotor (QTR) operating in helicopter mode while hovering in-ground effect (IGE) and out-of-ground effect (OGE) was experimentally studied. The effect of ground proximity was tested by varying the height of the model above the ground. Measurements included download on the airframe; thrust, torque, and rpm of the rotors; and static pressures along the centerline of the bottom of the fuselage. Fixedpitch propellers were used to model the rotors. The downwash distributions of the rotors were measured and compared well with large-scale V-22 rotor measurements. Tuft flow visualization was used to identify the physical processes causing changes in the download and static pressure measurements. The uncertainty of the measured quantities was determined to 95% confidence levels. A significant download (9 ± 0.5% of the rotor thrust) was observed in hover, OGE. The download reduced substantially IGE and become an upload (8.5 ± 0.5% of the rotor thrust) when the wheels of the QTR were on the ground. Flow visualization and pressure measurements suggest that the upload IGE is caused by the interaction of the wakes from the four rotors that are turned parallel to the ground and meet under the fuselage. The measured download, coupled with power measurements, indicate that for a given power the available vehicle thrust significantly increases IGE.
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Li, Manqi (Maggie), Yan Huang, and Amitabh Sinha. "Data-Driven Promotion Planning for Paid Mobile Applications." Information Systems Research 31, no. 3 (September 2020): 1007–29. http://dx.doi.org/10.1287/isre.2020.0928.
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In this paper, we propose a two-step data-analytic approach to the promotion planning for mobile applications (apps). In the first step, we use historical sales data to estimate the app demand model and quantify the effect of price promotions on download volume. The estimation results reveal two interesting characteristics of the relationship between price promotion and download volume of mobile apps: (1) the magnitude of the direct immediate promotion effect is declining within a multiday promotion; and (2) due to the visibility effect (i.e., apps ranked high on the download chart are more visible to consumers), a price promotion also has an indirect effect on download volume by affecting app rank, and this effect can persist after the promotion ends. Based on the empirically estimated demand model, we propose a moving planning window heuristic to construct a promotion policy. Our heuristic promotion policy consists of shorter and more frequent promotions. We show that the proposed policy can increase the app lifetime revenue by around 10%.
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Ding, Lina, Qi Chen, and Qun Ding. "The Hardware Circuit Design, Generation, Download and Tests of Chaotic Sequence Model." International Journal of Hybrid Information Technology 8, no. 4 (April 30, 2015): 97–104. http://dx.doi.org/10.14257/ijhit.2015.8.4.12.
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Han, Yao Jun, and Xue Mei Luo. "Modeling and Analysis of Multilingual Information Parallel Downloads in Data Grid." Applied Mechanics and Materials 263-266 (December 2012): 1424–28. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.1424.
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The need arises in parallel downloads of multilingual information for powerful graphical and analytical tools, as information with a variety of different languages distributed in different Web pages and the databases are heterogeneous and uneven in data grid. Petri net is a powerful graphical and mathematics tool for describing the concurrent, asynchronous and dynamic events. The parallel downloading of multilingual information was modeled and analyzed using extended timed colored Petri net (ETSdCPN). In ETSdCPN model, the color represents different languages information, and the time duration associated with place instead of transition is a function of tokens instead of constant. The reachable parallel download graph (RPDG) of ETSdCPN is defined. Finally, some important results such as rate of satisfaction and makespan of multilingual information parallel downloads are gotten by analyzing reachability of Petri net.
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Perryman, Carol. "Does a Social Network Based Model of Journal Metrics Improve Ranking?" Evidence Based Library and Information Practice 2, no. 2 (June 5, 2007): 81. http://dx.doi.org/10.18438/b87592.
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A Review of:
Bollen, J., Van de Sompel, H., Smith, J.A., & Luce, R. (2005). Toward alternative metrics of journal impact: A comparison of download and citation data. Information Processing and Management, 41:1419-1440.
Abstract
Objective – To test a new model for measuring journal impact by using principles of social networking. Research questions are as follows:
1. Can valid networks of journal relationships be derived from reader article download patterns registered in a digital library’s server logs?
2. Can social network metrics of journal impact validly be calculated from the structure of such networks?
3. If so, how do the resulting journal impact rankings relate to the ISI impact factor (IF)?
Design – Bibliometric, social network centrality analysis
Setting – Los Alamos National Laboratory (LANL), New Mexico
Subjects – 40,847 full-text articles downloaded from a large digital library by 1,858 unique users over a 6 month period.
Methods – Full-text article downloads from a large digital library for a six-month period were examined using social networking analysis methods. ISSNs for journals in which the retrieved articles were published were paired based upon the proximity of use by the same user, based on the supposition that proximal downloads are related in some way. Reader-Generated Networks (RGNs) were then tested for small-world characteristics. The resulting RGN data were then compared with Author-Generated Networks (AGNs) for the same journals indexed in the Institute of Scientific Information (ISI) annual impact factor (IF) rankings, in the Journal Citation Reports (JCR) database. Next, a sample of the AGN-derived pairings was examined by a team of 22 scientists, who were asked to rate the strength of relationships between journals on a five-point scale. Centrality ratings were calculated for the AGN and RGN sets of journals, as well as for the ISI IF.
Main results – Closeness and centrality rankings for the ISI IF and the AGN metrics were low, but significant, suggesting that centrality metrics are an acceptable impact metric. Comparison between the RGN and ISI IF data found marked differences, with RGN mirroring local population needs to a much higher degree, and with a non-significant correlation between the ISI IF and RGN ranking, while AGN and RGN centrality rankings show significant centrality and closeness and betweenness correlations. RGN network ranking identified highly localized foci of interest for the LANL, as well as “interest-bridging” subject areas pointing to possible emerging interests among the scientists.
Conclusion – The study results appear to successfully demonstrate an alternative to existing journal impact ranking that can more validly and accurately reflect the practices of a local community. The authors suggest that the social network-derived methodology for identification of impact rankings avoids biases intrinsic to ISI IF as a result of frequentist metrics collected from a global user group. Although the authors resist the idea of generalizability due to the local nature of their data, they suggest that the methodology can be successfully used in other settings, and for a more global community. Finally, the authors propose the automated creation of an open-source RGN whose data could be localized for smaller communities, with potentially large implications for the existing publishing industry.
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Ryu, Sunghan, and Byungho Park. "Do I want to pay to download movies." Journal of Information, Communication and Ethics in Society 16, no. 1 (March 12, 2018): 45–60. http://dx.doi.org/10.1108/jices-03-2017-0019.
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Purpose The purpose of this study is to understand the nature and characteristics of legal movie download services and to explore the factors that influence user acceptance of the services. Design/methodology/approach The authors analyzed the three aspects (i.e. hedonic information systems, ethical and legal consideration and user characteristics) of legal movie download services and empirically examined how they affect the potential users’ behavioral intent to adopt the services based on the theory of reasoned action (TRA). An online survey of 142 respondents about a real legal movie download services, currently operated by a major online service provider, was conducted. Findings Perceived playfulness and perceived usefulness had statistically significant effects on attitude. The relationships between subjective norms and its influencers are validated for moral judgment as well as risk aversion. The influence of price consciousness and past experience on behavioral intent to adopt the service are both supported. In the TRA model, attitude and subjective norms had statistically significant influence on behavioral intent to adopt the services. Originality/value The authors contribute to extending the literature on online pirating behavior from the different perspective, i.e. adoption of new legal alternatives. The study shows that the specific boundary conditions, i.e. hedonic attribute of information systems and existence of illegal alternatives, would generate the different results from the theories and previous literature.
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Lee, Junseop, and Jungmin Son. "The Effects of Consumer Innovativeness on Mobile App Download: Focusing on Comparison of Innovators and Noninnovators." Mobile Information Systems 2017 (December 19, 2017): 1–13. http://dx.doi.org/10.1155/2017/3894685.
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In the new market for mobile apps, innovators, that is, early adopters of new products, have drawn attention from various researchers for their role in contributing to the success of a product. Due to the discrepancies between findings in these studies, a research framework and empirical model must be established to demonstrate how innovators affect the market for mobile apps in comparison to other types of users. To clarify the empirical basis on which innovators contribute to market development, we compare mobile app download patterns between innovators and noninnovators. Using the app download data of actual users in one of the largest app markets in Korea, we compare and analyze download behavior for a period of less than two years following their subscription to the market. The empirical analysis reveals that the download volume of innovators remains constant over a long period, while for noninnovators, volume is initially high, reflecting their interest in downloading, but it rapidly decreases thereafter. The results of this study have practical implications for companies seeking to assess the market value of innovators.
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Aldwairi, Monther, Musaab Hasan, and Zayed Balbahaith. "Detection of Drive-by Download Attacks Using Machine Learning Approach." International Journal of Information Security and Privacy 11, no. 4 (October 2017): 16–28. http://dx.doi.org/10.4018/ijisp.2017100102.
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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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XIAO, Wei. "在後現代語境下我們如何建構醫學模式？——對〈身體倫理醫學模式〉的閱讀." International Journal of Chinese & Comparative Philosophy of Medicine 13, no. 2 (January 1, 2015): 31–34. http://dx.doi.org/10.24112/ijccpm.131588.
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LANGUAGE NOTE | Document text in Chinese; abstract in English only.Medicine is a value construction. As the combination of a variety of values and methodologies, a medical model can be used to observe and handle medical problems in the field of medicine. Indeed, human understandings of medicine have undergone a long process of historical development. Sun’s “body ethics model of medicine” can be taken as a new medical model in the post-modern context. It is achieved through the combination of the Chinese and Western ethical cultures. In my view, this new model is shaped by three key elements: human nature, the body, and ethical relationships. At the same time, the model points toward an inevitable fact of life: “Politics is nothing but medicine at a larger scale.”DOWNLOAD HISTORY | This article has been downloaded 39 times in Digital Commons before migrating into this platform.
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Alegre-Sanahuja, Juan, Javier Camacho, Juan Carlos Cortés López, Francisco-José Santonja, and Rafael Jacinto Villanueva Micó. "Agent-Based Model to Study and Quantify the Evolution Dynamics of Android Malware Infection." Abstract and Applied Analysis 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/623436.
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In the last years the number of malware Apps that the users download to their devices has risen. In this paper, we propose an agent-based model to quantify the Android malware infection evolution, modeling the behavior of the users and the different markets where the users may download Apps. The model predicts the number of infected smartphones depending on the type of malware. Additionally, we will estimate the cost that the users should afford when the malware is in their devices. We will be able to analyze which part is more critical: the users, giving indiscriminate permissions to the Apps or not protecting their devices with antivirus software, or the Android platform, due to the vulnerabilities of the Android devices that permit their rooted. We focus on the community of Valencia, Spain, although the obtained results can be extrapolated to other places where the number of Android smartphones remains fairly stable.
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Oke, P. R., R. Proctor, U. Rosebrock, R. Brinkman, M. L. Cahill, I. Coghlan, P. Divakaran, et al. "The Marine Virtual Laboratory: enabling efficient ocean model configuration." Geoscientific Model Development Discussions 8, no. 11 (November 10, 2015): 9741–68. http://dx.doi.org/10.5194/gmdd-8-9741-2015.
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Abstract. The technical steps involved in configuring a regional ocean model are analogous for all community models. All require the generation of a model grid, preparation and interpolation of topography, initial conditions, and forcing fields. Each task in configuring a regional ocean model is straight-forward – but the process of downloading and reformatting data can be time-consuming. For an experienced modeller, the configuration of a new model domain can take as little as a few hours – but for an inexperienced modeller, it can take much longer. In pursuit of technical efficiency, the Australian ocean modelling community has developed the Web-based MARine Virtual Laboratory (WebMARVL). WebMARVL allows a user to quickly and easily configure an ocean general circulation or wave model through a simple interface, reducing the time to configure a regional model to a few minutes. Through WebMARVL, a user is prompted to define the basic options needed for a model configuration, including the: model, run duration, spatial extent, and input data. Once all aspects of the configuration are selected, a series of data extraction, reprocessing, and repackaging services are run, and a "take-away bundle" is prepared for download. Building on the capabilities developed under Australia's Integrated Marine Observing System, WebMARVL also extracts all of the available observations for the chosen time-space domain. The user is able to download the take-away bundle, and use it to run the model of their choice. Models supported by WebMARVL include three community ocean general circulation models, and two community wave models. The model configuration from the take-away bundle is intended to be a starting point for scientific research. The user may subsequently refine the details of the model set-up to improve the model performance for the given application. In this study, WebMARVL is described along with a series of results from test cases comparing WebMARVL-configured models to observations and manually-configured models. It is shown that the automatically-configured model configurations produce a good starting point for scientific research.
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Nakano, Davi. "Digital music, online outlets and their business models." Brazilian Journal of Operations & Production Management 16, no. 4 (November 30, 2019): 581–91. http://dx.doi.org/10.14488/bjopm.2019.v16.n4.a4.
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Goal: to describe the current configuration of digital music distribution, and to give an overview of the business practices adopted by digital music outlets.
Design/Methodology/Approach: Longitudinal study using descriptive statistics and cluster analysis on two datasets collected in 2011 and 2018.
Results: Three clusters were identified in 2011: paid download, music streaming, and video streaming. Data shows that, in 2018, although streaming was the predominant technical mode, many outlets still applied the paid download business model (BM), and that cluster presented the highest survival rate. Large outlets used streaming, but the specialized ones still adhered to download, and catalog specialization and consumer behavior are the explaining factors.
Limitations of the investigation: Data was gathered from 70 digital outlets operating in two major digital markets, USA and UK, but some large ones, such as Korea and Japan, were not analyzed.
Practical implications: While a dominant technology prevails on mass markets, old technologies can still be adopted in niche markets, due to market limitations and consumer behavior. Thus, even in concentrated markets, small competitors can benefit from exploring segments with special needs that are not addressed by large players.
Originality/Value: There are few quantitative studies and longitudinal analyses on digital music business models.
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Gessa, Ana, Amor Jiménez, and Pilar Sancha. "Open Innovation in Digital Healthcare: Users’ Discrimination between Certified and Non-Certified mHealth Applications." Journal of Open Innovation: Technology, Market, and Complexity 6, no. 4 (November 1, 2020): 130. http://dx.doi.org/10.3390/joitmc6040130.
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Mobile applications users consider it especially important to have quality certification, and particularly in an e-health context. However, if the app is certified, will user satisfaction be greater? This paper is intended to help answer that question. Therefore, with user satisfaction as a determinant of the quality of services, the purpose of the paper is to understand the extent to which certified and non-certified mHealth apps influence user experience. This was measured by online reviews and downloads. An empirical study was carried out with 50 mHealth apps (21 certified, 29 non-certified), which is a convenient sampling procedure. The Mahalanobis matching technique was used to test for significant differences between the groups. A comparative content analysis was performed on 6188 user comments and on app downloads. Non-parametric tests were preferred because the variables analyzed had a categorical structure. A log-linear model and advanced contingency tables were used to examine the more than two-way relationships of variables. The results show differences between the two samples (certified and non-certified mHealth apps). However, quality certification labels as a guarantee of the quality of apps do not have a modulating effect on the online reviews and downloads relationship. The model showed a statistically significant partial association between “certification” and “online user reviews” (Z = 2.174; sig = 0.042)] and between “download” and “online user reviews” (Z = 2.387; sig = 0.017).
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Schrimpsher, Dan, and Letha Etzkorn. "A model to predict quality of a reduced ontology for Web service discovery on mobile devices." Knowledge Engineering Review 29, no. 2 (March 2014): 201–16. http://dx.doi.org/10.1017/s0269888914000071.
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AbstractAs Web Services and the Semantic Web become more important, enabling technologies such as Web service ontologies will grow larger. At the same time, use of mobile devices to access Web services has doubled in the last year. The ability of these resource-constrained devices to download and reason across ontologies to support service discovery are severely limited. Since concrete agents typically only needs a subset of what is described in a Web service ontology to complete their task, a reduced ontology can be created. Measuring the quality of a reduced ontology, in both knowledge content and performance, is a nontrivial task. Expert analysis of the ontologies is time-consuming and unreliable. We propose two measures of knowledge content and performance. Mean average recall (MAR) with respect to the original ontology compares the data returned from a series of queries related to a particular concept of interest. Mean average performance (MAP) compares the download and reasoning speedup of the reduced ontology with respect to the original ontology. Neither of these values can be computed easily, therefore we propose a set of ontology metrics to predict these values. In this paper, we develop two prediction models for MAR and MAP based on these metrics. These models are based on analysis of 23 ontologies from five domains. To compute MAR, a specific set of queries for each domain was applied to each candidate reduced ontology along with the original ontology. To compute MAP, a simulated mobile device will download and process of each ontology along with the original ontology. We believe this model allows a speedy selection of a reduced ontology that contains the knowledge content and performance speedup needed by a mobile device for service discovery.
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Wang, Yue-Yun. "Model Based Calibration." Mechanical Engineering 137, no. 12 (December 1, 2015): S19—S21. http://dx.doi.org/10.1115/1.2015-dec-10.
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This article describes calibration of control systems for downsized boosted engines. Model-based design of powertrain and aftertreatment control systems includes plant modeling and controller synthesis. The article illustrates the typical work flow of the model-based calibration process for an engine. In the process, the first step is the design of experiment. The experiment design should cover a multisurface space. That guides the next step to collect data from an engine or powertrain at critical operating points. Once the data are collected, an engine system model is built along with its designed controller models, then the operation of the control systems and controller parameters are optimized or calibrated based on the plant models. With these initial values of the calibrations handy, one can either download the calibration into the production ECU or use a rapid prototyping controller to conduct a full validation or final fine tuning of the engine powertrain control system in test cells or on vehicles.
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Oke, Peter R., Roger Proctor, Uwe Rosebrock, Richard Brinkman, Madeleine L. Cahill, Ian Coghlan, Prasanth Divakaran, et al. "The Marine Virtual Laboratory (version 2.1): enabling efficient ocean model configuration." Geoscientific Model Development 9, no. 9 (September 19, 2016): 3297–307. http://dx.doi.org/10.5194/gmd-9-3297-2016.
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Abstract. The technical steps involved in configuring a regional ocean model are analogous for all community models. All require the generation of a model grid, preparation and interpolation of topography, initial conditions, and forcing fields. Each task in configuring a regional ocean model is straightforward – but the process of downloading and reformatting data can be time-consuming. For an experienced modeller, the configuration of a new model domain can take as little as a few hours – but for an inexperienced modeller, it can take much longer. In pursuit of technical efficiency, the Australian ocean modelling community has developed the Web-based MARine Virtual Laboratory (WebMARVL). WebMARVL allows a user to quickly and easily configure an ocean general circulation or wave model through a simple interface, reducing the time to configure a regional model to a few minutes. Through WebMARVL, a user is prompted to define the basic options needed for a model configuration, including the model, run duration, spatial extent, and input data. Once all aspects of the configuration are selected, a series of data extraction, reprocessing, and repackaging services are run, and a “take-away bundle” is prepared for download. Building on the capabilities developed under Australia's Integrated Marine Observing System, WebMARVL also extracts all of the available observations for the chosen time–space domain. The user is able to download the take-away bundle and use it to run the model of his or her choice. Models supported by WebMARVL include three community ocean general circulation models and two community wave models. The model configuration from the take-away bundle is intended to be a starting point for scientific research. The user may subsequently refine the details of the model set-up to improve the model performance for the given application. In this study, WebMARVL is described along with a series of results from test cases comparing WebMARVL-configured models to observations and manually configured models. It is shown that the automatically configured model configurations produce a good starting point for scientific research.
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Mohsen, Raed Kazem. "A Model for Diagnosing the Largest Number of Android Application Problems, based on Reviews in Download Stores by Use of the Decision Tree." Journal of Advanced Research in Dynamical and Control Systems 24, no. 4 (March 31, 2020): 237–46. http://dx.doi.org/10.5373/jardcs/v12i4/20201438.
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Dalvi, Fahim, Avery Nortonsmith, Anthony Bau, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, and James Glass. "NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9851–52. http://dx.doi.org/10.1609/aaai.v33i01.33019851.
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We present a toolkit to facilitate the interpretation and understanding of neural network models. The toolkit provides several methods to identify salient neurons with respect to the model itself or an external task. A user can visualize selected neurons, ablate them to measure their effect on the model accuracy, and manipulate them to control the behavior of the model at the test time. Such an analysis has a potential to serve as a springboard in various research directions, such as understanding the model, better architectural choices, model distillation and controlling data biases. The toolkit is available for download.1
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Adekitan, Aderibigbe, and Claudius Awosope. "Internet data traffic analysis for identifying usage trends on each day of the week in a university." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (March 1, 2020): 1442. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1442-1452.
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<p><em>Internet data traffic monitoring and management are important requirements for ensuring top notch quality of service in a network. Data traffic logs contain useful hidden information that can be harnessed and interpreted as a resource for making informed network management decisions. In this study, logged internet data traffic for both the upload and download traffic in a university for one year was analysed using statistics and partial least squares approach to structural equation modelling (PLS-SEM). Time series plots, statistical properties and trends for each day of the week over a 51-week period were developed. The result shows that the most data was downloaded on Thursdays while the most upload occurred on Mondays. A path model was developed using Smart PLS3, and the performance of the model was evaluated using the construct reliability and validity of the model. The results reveal that the weekly variance is majorly accounted for by usage variations on Tuesdays, Fridays and Saturdays. An overall model R-square value of 0.876 was observed.</em></p>
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Devetak, Sasa M., Vladimir B. Susa, Boban Z. Pavlovic, Rade V. Slavkovic, and Samed M. Karovic. "Performance Analysis of One Model of Communication and Information System in Military Operation." Defence Science Journal 69, no. 3 (April 30, 2019): 290–97. http://dx.doi.org/10.14429/dsj.69.12932.
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This paper presents a model of communication and information system in military operations. Here OPNET MODELER simulation package is applied because it is suitable for network modelling, topology and capacity planning. Simulation of different types of IP traffic and monitor their performance to optimise the functionality of network elements, management performance network applications, and as well as in research and development of new network technologies. Application of the method of mass service are determined by the capacity needed for voice transmission on the links in the model and using the OPNET MODELER simulation program are analysed performance modeled communication information system in data transmission. The results of the simulation are presented through target the service settings: workload links communication and information system, e-mail download response time, http page download response time and packet loss in data transfer. The aim of the research has shown that modeled communication information system with defined elements (nodes), the capacity of links (according to the specification of telecommunication devices) and defined traffic can respond to the requirements of command forces in the military operation in terms of telecommunication service. The results of the analysed service target parameters show that modeled communication and information system provides an efficient flow of information and the tra nsfer of voice and IP data for the needs of command and control in military operations.
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Zhang, Li Guo, Jin Ling Fan, and Guang Yi Shi. "Research on Three-Dimensional Mechanical Model Exhibitation System Based on WebGIS." Applied Mechanics and Materials 229-231 (November 2012): 2052–55. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.2052.
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On the basis of the analysis on the development environment and development key technologies, Three-dimensional mechanical model exhibitation system based Google Map API was developed, which achieves uniform management of 3D model data, 3D model browsing, information query, online assembly, model download and can support multi-sited collaborative simulation. By using local search service and existing landmark file of Google Map and adding self-defined landmarks list, it realized fast retrieval, precise positioning and regional analysis of model supplier. Taking into account the system maintainability, scalability and security issues, it makes the design resources to be maximize shared and has certain practicability.
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Pappas, Ilias O., Patrick Mikalef, Michail N. Giannakos, and Panos E. Kourouthanassis. "Explaining user experience in mobile gaming applications: an fsQCA approach." Internet Research 29, no. 2 (April 1, 2019): 293–314. http://dx.doi.org/10.1108/intr-12-2017-0479.
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Purpose In the complex ecosystem of mobile applications multiple factors have been used to explain users’ behavior, without though focusing on how different combinations of variables may affect user behavior. The purpose of this paper is to show how price value, game content quality, positive and negative emotions, gender and gameplay time interact with each other to predict high intention to download mobile games. Design/methodology/approach Building on complexity theory, the authors present a conceptual model followed by research propositions. The propositions are empirically validated through configurational analysis, employing fuzzy-set qualitative comparative analysis (fsQCA) on 531 active users of mobile games. Findings Findings identify ten solutions that explain high intention to download mobile games. Alternative paths are identified depending on the gender and the time users spend playing mobiles games. The authors highlight the role of price value and game content quality, as well as that of positive emotions, which are always core factors when present. Originality/value To identify complex interactions among the variables of interest, fsQCA is employed, differentiating from traditional studies using variance-based methods, leading to multiple solutions explaining the same outcome. None of the variables explains the intention to download on its own, but only when they combine with each other. The authors extend existing knowledge on how price value, game content quality, emotions, gender and gameplay time combine to lead to high intention to download mobile games; and present a methodology for how to bridge complexity theory with fsQCA, improving our understanding of intention to adopt mobile applications.
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de la Cruz, R. M., N. T. Olfindo Jr., M. M. Felicen, N. J. B. Borlongan, J. K. L. Difuntorum, and J. J. S. Marciano Jr. "NEAR-REALTIME FLOOD DETECTION FROM MULTI-TEMPORAL SENTINEL RADAR IMAGES USING ARTIFICIAL INTELLIGENCE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 22, 2020): 1663–70. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-1663-2020.
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Abstract. Flood extent delineation from RADAR images usually entails manual thresholding per scene, which is not feasible when tackling large-scale floods that often covers multiple RADAR scenes. It is also computationally intensive when processed through traditional remote sensing techniques that limit its use during emergency situations. To hasten the production of flood maps from RADAR images during flooding incidents, a deep learning model using Fully connected Convolutional Neural Network (FCNN) has been developed to delineate flooded areas with minimal human intervention. The model was formulated from the data gathered during a flooding event captured by both Sentinel-1A SAR satellite and Planet’s Dove optical satellites. Two pre-flood and one post-flood SAR scenes were used to detect the occurrence of water by analysing drops in backscatter values. The potential flood extents were verified using optical images which were then used to train the AI model. The model is currently being used operationally to map flood extent across the Philippines with no human intervention from data download to detection of flooded areas. The technique can detect floods across five Sentinel 1 scenes in less than four hours upon download of new satellite data.
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Frost, Miroslav, Martin Kružík, and Jan Valdman. "Interfacial polyconvex energy-enhanced evolutionary model for shape memory alloys." Mathematics and Mechanics of Solids 24, no. 8 (July 30, 2019): 2619–35. http://dx.doi.org/10.1177/1081286519841103.
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A sharp-interface model describing static equilibrium configurations of shape memory alloys by means of interfacial polyconvex energy density introduced by Šilhavý and extended to a quasistatic situation by Knüpfer and Kružík is computationally tested. Elastic properties of variants of martensite and the austenite are described by polyconvex energy density functions. Volume fractions of particular variants are modeled by a map of bounded variation. In addition, energy stored in martensite–martensite and austenite–martensite interfaces is measured by an interface-polyconvex function. It is assumed that transformations between material variants are accompanied by energy dissipation, which, in our case, is positively one-homogeneous giving rise to a rate-independent model. Various two-dimensional computational examples are presented and the computer code used is made available for download.
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Han, KyungHyun, and Seong Oun Hwang. "Lightweight Detection Method of Obfuscated Landing Sites Based on the AST Structure and Tokens." Applied Sciences 10, no. 17 (September 3, 2020): 6116. http://dx.doi.org/10.3390/app10176116.
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Attackers use a variety of techniques to insert redirection JavaScript that leads a user to a malicious webpage, where a drive-by-download attack is executed. In particular, the redirection JavaScript in the landing site is obfuscated to avoid detection systems. In this paper, we propose a lightweight detection system based on static analysis to classify the obfuscation type and to promptly detect the obfuscated redirection JavaScript. The proposed model detects the obfuscated redirection JavaScript by converting the JavaScript into an abstract syntax tree (AST). Then, the structure and token information are extracted. Specifically, we propose a lightweight AST to identify the obfuscation type and the revised term frequency-inverse document frequency to efficiently detect the malicious redirection JavaScript. This approach enables rapid identification of the obfuscated redirection JavaScript and proactive blocking of the webpages that are used in drive-by-download attacks.
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Yue Liu, Binkai Shi, Guobing Zou, and Zhe Xu. "Effective Personalized Recommendation using United Auxiliary Domain based Weighted Rating Model in Large-Scale BT Download Datasets." Journal of Convergence Information Technology 8, no. 8 (April 30, 2013): 80–87. http://dx.doi.org/10.4156/jcit.vol8.issue8.10.
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Chen, Mei-Fang, and Neng-Pai Lin. "Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions." Internet Research 28, no. 2 (April 4, 2018): 351–73. http://dx.doi.org/10.1108/intr-03-2017-0099.
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Purpose The purpose of this paper is to extend the technology readiness and acceptance model (TRAM) to consider an individual’s health consciousness (HC), thereby improving the capability of the model to predict an individual’s attitude toward and intention to download and use dietary and fitness apps. Design/methodology/approach A total of 994 participants completed a self-reported online questionnaire. Structural equation modeling and χ2 difference testing were conducted to compare the predictive capability of the proposed health consciousness TRAM (HC-TRAM) and the TRAM. The comparison of the proposed HC-TRAM in terms of potential and actual users of dietary and fitness apps was also discussed. Findings The results obtained from the HC-TRAM and the TRAM indicate that in addition to technology readiness, HC exerts a positive effect on the perceived ease of use and usefulness of dietary and fitness apps. χ2 difference test results indicated that the predictive capability of the proposed HC-TRAM is higher than that of the TRAM. Practical implications The drivers and inhibitors of a person’s readiness to embrace modern information technology play roles when predicting his or her intention to download and use dietary and fitness apps. HC should be promoted by encouraging people to eat right and regularly perform appropriate exercise to prevent obesity and overweight, thereby maintaining a healthy lifestyle. Originality/value This study incorporated individual cognitive factors and HC into the TRAM to fill the literature gap and deepen and broaden existing theoretical frameworks of the TRAM in the public health sector.
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Godet, Arthur, Xavier Lorca, Emmanuel Hebrard, and Gilles Simonin. "Using Approximation within Constraint Programming to Solve the Parallel Machine Scheduling Problem with Additional Unit Resources." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 02 (April 3, 2020): 1512–19. http://dx.doi.org/10.1609/aaai.v34i02.5510.
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In this paper, we consider the Parallel Machine Scheduling Problem with Additional Unit Resources, which consists in scheduling a set of n jobs on m parallel unrelated machines and subject to exactly one of r unit resources. This problem arises from the download of acquisitions from satellites to ground stations. We first introduce two baseline constraint models for this problem. Then, we build on an approximation algorithm for this problem, and we discuss about the efficiency of designing an improved constraint model based on these approximation results. In particular, we introduce new constraints that restrict search to executions of the approximation algorithm. Finally, we report experimental data demonstrating that this model significantly outperforms the two reference models.
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Elff, Martin. "A Dynamic State-Space Model of Coded Political Texts." Political Analysis 21, no. 2 (2013): 217–32. http://dx.doi.org/10.1093/pan/mps042.
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This article presents a new method of reconstructing actors' political positions from coded political texts. It is based on a model that combines a dynamic perspective on actors' political positions with a probabilistic account of how these positions are translated into emphases of policy topics in political texts. In the article it is shown how model parameters can be estimated based on a maximum marginal likelihood principle and how political actors' positions can be reconstructed using empirical Bayes techniques. For this purpose, a Monte Carlo Expectation Maximization algorithm is used that employs independent sample techniques with automatic Monte Carlo sample size adjustment. An example application is given by estimating a model of an economic policy space and a noneconomic policy space based on the data from the Comparative Manifesto Project. Parties' positions in policy spaces reconstructed using these models are made publicly available for download.
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Hu, Xiao Li, Li Ding, and Zhi Gang Zhang. "The Design of Digital Filter Based on DSP Builder." Applied Mechanics and Materials 602-605 (August 2014): 2641–44. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.2641.
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This paper model digital FIR low-pass by using the Toolbox of the DSP Builder in MATLAB and convert to VHDL hardware description language, compile and simulation through QUARTUS II software automatically, download and verified by EPF10K20RC208-4.The design combine MATLAB software with FPGA hardware organic ally and completes the transplant of the FIR low-pass filter.
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Mardiana, Mardiana. "Implementasi User Satisfaction Model Dalam Mengukur Kualitas Website." MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer 19, no. 2 (May 30, 2020): 266–72. http://dx.doi.org/10.30812/matrik.v19i2.711.
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Kepuasan pengguna adalah keseluruhan evaluasi dari pengalaman pengguna dalam menggunakan sistem informasi dan dampak potensial dari sistem informasi. Green dan Pearson menyatakan tingkat kepuasaan pengguna pada suatu perangkat dapat diukur dengan berbagai faktor salah satunya dengan menggunakan model tingkat kepuasaan yang merumuskan empat variabel yang terdiri dari: Kemudahan, Personalisasi, Kecepatan Akses dan Penyajian Informasi.
Etos Indonusa merupakan perusahaan jasa pengendalian hama yang telah menggunakan website sebagai media informasi guna kepentingan pihak dalam maupun pihak luar perusahaan. Penelitian ini dilakukan untuk mengetahui sejauh mana tingkat kepuasan pengguna terhadap website PT. Etos Indonusa dengan menerapkan metode user satisfaction menurut Green dan Pearson menggunakan beberapa kriteria seperti ease of use, customization, download delay, dan content sehingga dapat diketahui seberapa besar tingkat kepuasan penggunanya. Hasil dari penelitian ini adalah interpretasi pengukuran di variabel content, pada item pertanyaan tentang infomasi yang disajikan masih dikategorikan cukup (60%), maka website masih perlu ditingkatkan dengan fokus pada content (isi materi) yang lebih spesifik, lengkap dan memenuhi kebutuhan pelanggan terkait informasi dan layanan perusahaan.
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Chiba, Asako. "Modeling the effects of contact-tracing apps on the spread of the coronavirus disease: Mechanisms, conditions, and efficiency." PLOS ONE 16, no. 9 (September 1, 2021): e0256151. http://dx.doi.org/10.1371/journal.pone.0256151.
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This study simulates the spread of the coronavirus disease (COVID-19) using a detailed agent-based model and the census data of Japan to provide a comprehensive analysis of the effects of contact-tracing apps. The model assumes two types of response to the app notification: the notified individuals quarantine themselves (type-Q response) or they get tested (type-T response). The results reveal some crucial characteristics of the apps. First, type-Q response is successful in achieving containment; however, type-T response has a limited curve-flattening effect. Second, type-Q response performs better than type-T response because it involves quarantine of those who are infected but have not become infectious yet, and the current testing technology cannot detect the virus in these individuals. Third, if the download rate of the apps is extremely high, type-Q response can achieve virus containment with a small number of quarantined people and thereby high efficiency. Finally, given a fixed download rate, increasing the number of tests per day enhances the effectiveness of the apps, although the degree of improved effectiveness is not proportional to the change in the number of tests.
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Yang, Xiao-Peng. "Evaluation Model and Approximate Solution to Inconsistent Max-Min Fuzzy Relation Inequalities in P2P File Sharing System." Complexity 2019 (March 14, 2019): 1–11. http://dx.doi.org/10.1155/2019/6901818.
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Considering the requirement of biggest download speed of the terminals, a BitTorrent-like Peer-to-Peer (P2P) file sharing system can be reduced into a system of max-min fuzzy relation inequalities. In this paper we establish an evaluation model by the satisfaction degree, for comparing two arbitrary potential solutions of such system. Besides, based on the evaluation model, concept of approximate solution is defined. It is indeed a potential solution with highest satisfaction degree. Furthermore, effective algorithm is developed for obtaining the approximate solutions to inconsistent system. Numerical examples are provided to illustrate our proposed model and algorithm.
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Mørup, Morten, and Mikkel N. Schmidt. "Bayesian Community Detection." Neural Computation 24, no. 9 (September 2012): 2434–56. http://dx.doi.org/10.1162/neco_a_00314.
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Many networks of scientific interest naturally decompose into clusters or communities with comparatively fewer external than internal links; however, current Bayesian models of network communities do not exert this intuitive notion of communities. We formulate a nonparametric Bayesian model for community detection consistent with an intuitive definition of communities and present a Markov chain Monte Carlo procedure for inferring the community structure. A Matlab toolbox with the proposed inference procedure is available for download. On synthetic and real networks, our model detects communities consistent with ground truth, and on real networks, it outperforms existing approaches in predicting missing links. This suggests that community structure is an important structural property of networks that should be explicitly modeled.
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Lusk, Edward J. "Analytic Procedures: A Holdback-vetting Forecasting Model." Applied Finance and Accounting 3, no. 1 (January 11, 2017): 65. http://dx.doi.org/10.11114/afa.v3i1.2139.
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Introduction: Forecasting is now a best practices requirement for PCAOB audits. This is clear from AS 5 where Analytic Procedures are now a part of the Planning and Substantive Phases of the certification audits. In this regard, we are encouraged by the “On the Go Stores” AP case offered by the AICPA, and have extended their case illustration of AP treatments.Study Précis: In our presentation, we initially consider the OLS Regression model utilized in the AICPA case and offer a vetting protocol to rationalize the use of this forecasting model in the AP phases. Then we move to a disposition analysis stage where the forecast information is posed in relief to the actual client value so as to ascertain if Extended Procedure investigations would be warranted.Results: We offer three Confidence Intervals drawn from the OLS modeling system that are formed from the Fixed Effect, Random Effects, and finally the Excel Platform for the 95% CI parameter set.Impact: The protocol set is programmed in an open-access VBA Decision Support System which is available free as a download with no restriction on its use.
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Karisma Wiguna, I. Made, IGAK Djuni, and P. K. Sudiarta. "ANALISA PERBANDINGAN BEBAN TRAFFIC FTP DALAM SISTEM MANET (MOBILE AD-HOC NETWORK) PADA PERGERAKAN MANHATTAN GRID DENGAN MENGGUNAKAN ROUTING PROTOKOL AODV DAN OLSR." Jurnal SPEKTRUM 6, no. 1 (May 9, 2019): 36. http://dx.doi.org/10.24843/spektrum.2019.v06.i01.p06.
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Advances in network technology have encouraged the development of ad-hoc services. MANET is one of them. In MANET, a routing protocol is required that can facilitate communication reliably. To get this reliable routing, in this study simulation of two routing protocols, namely AODV and OLSR. In the Manhattan Grid Mobility (MGM) model with communication loads using the FTP protocol. The simulation results show that the end-to-end value of service quality is 0.00210 second and throughput of 0.353428 Mbps for high FTP load in AODV routing. While the OLSR protocol routing obtained end to end delay value is 0.00071 second and throughput of 0.532025 Mbps for high load load FTP. For high load FTP traffic loads, 0.042436 second response time upload and 0.085789 second time response download on AODV protocol routing. On the OLSR routing protocol the upload time response rate is 0.084756 second response time and 0.09271 seconds download time response.
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Hartati, Eka, Ria Indriyani, and Indah Trianingsih. "Analisis Kepuasan Pengguna Website SMK Negeri 2 Palembang Menggunakan Regresi Linear Berganda." MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer 20, no. 1 (September 29, 2020): 47–58. http://dx.doi.org/10.30812/matrik.v20i1.736.
Full textAbstract:
Website merupakan salah satu alat yang dirasa cocok untuk membantu memenuhi kebutuhan informasi akademis termasuk SMK Negeri 2 Palembang salah satu peranan pihak sekolah sebagai media sumber informasi dan pendidikan dimana yang menjadi informasi resmi bagi program atau informasi yang ingin disampaikan. SMK Negeri 2 Palembang. SMK Negeri 2 Palembang memiliki situs website resmi dengan alamat http://smkn2palembang.sch.id/ sebagai sarana menginformasikan kepada guru, siswa dan siswi, Bagaimana mengukur dan menganalisa kualitas website SMK Negeri 2 Palembang berdasarkan model kualitas kepuasan pengguna (user satisfaction) yang terdiri dari variabel ease of use, customization, download delay dan content. Jumlah sampel dalam penelitian ini sebanyak 363 responden yang terdiri dari guru, pegawai dan siswa, teknik pengumpulan data dalam penelitian ini menggunakan kuesioner yang disebarkan secara langsung ke responden. Berdasarkan hasil uji regresi linier menunjukkan bahwa nilai koefisien regresi untuk keempat variabel yaitu ease of use, customization, download delay dan content bernilai positif berarti bahwa jika nilai keempat variabel semakin baik, maka kepuasan pengguna akan meningkat
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Lee, Seongsik, Hayoung Jang, and Sookyung Lim. "A Test of a Model for Causes and Counterpart in Digital Piracy: Comparing Illegal Download with Upload Behavior." Journal of Public Policy Studies 38, no. 2 (August 31, 2021): 135–59. http://dx.doi.org/10.33471/ila.38.2.6.
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