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Academic literature on the topic 'Platformism'
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Dissertations / Theses on the topic "Platformism"
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Suh, Eun Suk. "Flexible product platforms." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33727.
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Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2005.<br>Includes bibliographical references (leaves 155-162).<br>The research contributes to the uncertainty management of engineering systems by proposing and demonstrating a way to implement flexible platform strategy to respond to future uncertainties. In today's competitive market, where market segments are becoming more fragmented, pressure to develop and market diverse sets of products is increasing. To meet such market needs and reduce production cost at the same time, product platform strategy has been implemented in several different industries. Using a core set of common platform elements and variant-specific unique elements, a family of products can be produced to satisfy various market segments. However, the growing cost of platform development and undesired side effects of the strategy (e.g. performance tradeoff, cannibalization) is forcing companies to design their platforms with flexibility, so they can accommodate product variants, differentiate these variants, and be economically flexible to respond to specified future uncertainties. This thesis introduces a design process to architect flexible product platforms. The proposed process is demonstrated in two automotive application case studies.<br>(cont.) In the first case study, a vehicle floor pan is designed to satisfy two different length requirements, while being economically robust to future specification change and component demand. The second case study investigates a vehicle platform, where the flexible body in white (BIW) platform is designed for a family of three vehicle variants through identification of critical elements subset. Results showed that the flexible BIW platform is less profitable than the inflexible BIW platform, but when the degree of future uncertainty increases, the flexible design eventually becomes more profitable. This research provides additional examples that yet again confirms the general proposition "flexibility gains value as the degree of uncertainty increases."<br>by Eun Suk Suh.<br>Ph.D.
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Niedermayer, Andras. "Platforms and intermediaries." Berlin dissertation.de, 2008. http://d-nb.info/990430669/04.
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Morales, Néstor, and Manuel Serrano. "Autonomous Robotics Platforms." Thesis, Högskolan i Skövde, Institutionen för ingenjörsvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17261.
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Nowadays, it is of crucial importance for the manufacturing industry to be prepared for the application and understanding of autonomous mobile robots. Given this fact, educational institutions have to provide knowledge and experience to students. These autonomous mobile robots are made and controlled using different platforms and programming languages. Currently, the University of Skövde wishes to expand the range of tools to be available for building and experimenting with autonomous robots. For this purpose, this thesis project has two main goals. The first goal is finding the best available robotic platform for small scale, self-built, programmable robots. Such a platform has to include all the hardware necessary for later implementation with the software. The platform is evaluated in this thesis following different criteria. The second goal is to build a robot using the chosen platform. The robot has to perform a certain task taking advantage of its specific hardware. The development of the task has been achieved using the Robot Operative System (ROS). This thesis provides step by step instructions of how to build the platform and perform the task.
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Pocius, Tadas. "Mobile airline to passenger communication." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140630_114843-59334.
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In the final master’s dissertation analysis on current 15below communication platform PASNGR. In addition to this there is a short analysis done on each of PASNGR components to find out usage possibilities. Furthermore, the platform is dependant on Reservation Systems, so analysis on them is done as well, including processes and data. The goal of this dissertation is to create a mobile app integrated into PASNGR. For this reason integration analysis is done, by reviewing components, data and functions. After analysis is done, Business Process Model is created to represent the workflow of the app, including internal processes and interaction with PASNGR. Furthermore a review of mobile application technologies is done, including common tools used in development. By doing this there is the best solution for current 15below developers’ environment found. The solution would mean the least resources to be used to develop the app. Finally a prototype of the mobile application is created, to show the possibilities. The app works on Android and iOS platforms, gives an ability for user to download itineraries and store for offline usage, an ability to scan a barcode at the airport straight from the app, give post flight experience feedback for the airline, receive schedule change notifications and accept them.<br>Baigiamajame magistro darbe atliekama kompanijos „15below“ naudojamos avialinijų komunikacijos su keleiviais platformos „PASNGR“ analizė. Atskirai atliekama trumpa kiekvieno „PASNGR“ modulio apžvalga įvertinant taikymo galimybes. Be to, kadangi platforma yra priklausoma nuo globaliųjų paskirstymo sistemų, apžvelgiamos ir jos apimant procesus, bei naudojamus duomenis. Darbe yra numatomas sukurti mobiliosios aplikacijos prototipas surištas su „PASNGR“ platforma. Tam tikslui yra atliekama integracijos analizė, apžvelgiant komponentus, duomenis ir funkcijas. Galiausiai yra sukuriamas veiklos proceso modelis atvaizduojantis mobiliosios aplikacijos prototipo veikimo principus, bei interakciją su platforma „PASNGR“. Darbo eigoje apžvelgiamos mobiliųjų aplikacijų technologijos, bei įrankiai joms kurti. Taip parenkamas priimtiniausias spendimas esamai kompanijos „15below“ programuotojų aplinkai ir lemiantis minimalias sąnaudas. Galiausiai sukuriamas mobiliosios aplikacijos prototipas veikiantis Android ir iOS platformose, gebantis atsisiųsti elektroninius bilietus į mobilųjį įrenginį ir jame išsaugoti naudojimui neprisijungus prie interneto, leidžiantis naudotojui skenuoti brūkšninį kodą oro uoste, po skrydžio pateikti nuomonę apie gautas avialinijų paslaugas, priimti pranešimus apie skrydžių pakeitimus, bei leisti juos patvirtinti.
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Hartmann, Dominik 1966. "Singular Stewart-Gough platforms." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=23369.
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A special type of singular Stewart-Gough Platform exhibits continuous motion of one or more degrees of freedom, while all of its six or more legs are locked at fixed length. The equation describing point motion is introduced and then applied to parallel platforms. Line geometric analysis shows that all legs remain in a continuously varying linear complex, linear congruence, or quadric. Base and platform joints are restricted to lie on two congruent, skewed hyperbolids of one sheet. One of these constitutes those points on the rigid body of the platform that move on spheres, the other, those on the fixed base which constitute the sphere centres. An equivalent mechanism is developed and used to visualize the design parameters of the motion. The selection, as platform joints, of points on a line generator results in a two degree of freedom platform. Specific designs of such overconstrained mechanisms are investigated and illustrated. Line geometry is used, to explain the special relationship among the platform legs. Numerical examples are given and illustrated.
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Sinha, Deeksha. "Optimization for online platforms." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130723.
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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, February, 2021<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 179-189).<br>In the last decade, there has been a surge in online platforms for providing a wide variety of services. These platforms face an array of challenges that can be mitigated with appropriate modeling and the use of optimization tools. In this thesis, we examine, model, and provide solutions to some of the key challenges. First, we focus on the problem of intelligent SMS routing faced by several online platforms today. In a dynamically changing environment, platforms need to carefully choose SMS aggregators to have a high number of text messages being delivered to users at a low cost. To model this problem, we consider a novel variant of the multi-armed bandit (MAB) problem, MAB with cost subsidy, which models many real-life applications where the learning agent has to pay to select an arm and is concerned about optimizing cumulative costs and rewards.<br>We show that naive generalizations of existing MAB algorithms like Upper Confidence Bound and Thompson Sampling do not perform well for the SMS routing problem. For an instance with K arms and time horizon T, we then establish a fundamental lower bound of [omega](K¹/³T²/³) on the performance of any online learning algorithm for this problem, highlighting the hardness of our problem in comparison to the classical MAB problem. We also present a simple variant of explore-then-commit and establish near-optimal regret bounds for this algorithm. Lastly, we perform numerical simulations to understand the behavior of a suite of algorithms for various instances and recommend a practical guide to employ different algorithms. Second, we focus on the problem of making real-time personalized recommendations which are now needed in just about every online setting, ranging from media platforms to e-commerce to social networks.<br>While the challenge of estimating user preferences has garnered significant attention, the operational problem of using such preferences to construct personalized offer sets to users is still a challenge, particularly in modern settings with a massive number of items and a millisecond response time requirement. Thus motivated, we propose an algorithm for personalized offer set optimization that runs in time sub-linear in the number of items while enjoying a uniform performance guarantee. Our algorithm works for an extremely general class of problems and models of user choice that includes the mixed multinomial logit model as a special case. Our algorithm can be entirely data-driven and empirical evaluation on a massive content discovery dataset shows that our implementation indeed runs fast and with increased performance relative to existing fast heuristics.<br>Third, we study the problem of modeling purchase of multiple items (in online and offline settings) and utilizing it to display optimized recommendations, which can lead to significantly higher revenues as compared to capturing purchase of only a single product in each transaction. We present a parsimonious multi-purchase family of choice models called the BundleMVL-K family, and develop a binary search based iterative strategy that efficiently computes optimized recommendations for this model. We establish the hardness of computing optimal recommendation sets and characterize structural properties of the optimal solution. The efficacy of our modeling and optimization techniques compared to competing solutions is shown using several real-world datasets on multiple metrics such as model fit, expected revenue gains, and run-time reductions. Fourth, we study the problem of A-B testing for online platforms.<br>Unlike traditional offline A-B testing, online platforms face some unique challenges such as sequential allocation of users into treatment groups, large number of user covariates to balance, and limited number of users available for each experiment, making randomization inefficient. We consider the problem of optimally allocating test subjects to either treatment with a view to maximize the precision of our estimate of the treatment effect. Our main contribution is a tractable algorithm for this problem in the online setting, where subjects must be assigned as they arrive, with covariates drawn from an elliptical distribution with finite second moment. We further characterize the gain in precision afforded by optimized allocations relative to randomized allocations and show that this gain grows large as the number of covariates grows.<br>by Deeksha Sinha.<br>Ph. D.<br>Ph.D. Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center
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Youssefzadeh, Salim Benjamin. "Future of Payment Platforms." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1241.
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With the vast increase in smartphones, there have been an increasing number of opportunities growing in the app industry. One in particular is the way we deal with money. There are huge overheads in the current payment systems around the world particularly in the United States, many of which include large transaction fees. Many new businesses have grown to solve these inefficiencies and create a new platform that provides a new user experience, security, and convenience among many other things. However, many of these platforms are still centralized, making them more susceptible to attacks. This thesis goes over the various methods of payments, starting from their origins and discusses their flaws and ways they are being improved. This study explains where payment platforms are going and how they line up against other platforms in terms of security and usability.
We look at the origins of credit cards and why the US is lagging behind other countries in credit card security. Digital wallets like PayPal, Venmo, Square, etc. have done a remarkable job, but still have room for improvement in terms of security and usage. I try to solve these problems with the mobile application AnyCoin by bringing one platform that houses different types of digital wallets. The goal of this application was to grow a large user base and collect data off the transaction for future analysis and advertising. This study goes through an in depth analysis on the application from the
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perspective of merchants and consumers to understand what users are looking for in digital wallets.
Decentralized platforms and crypto-currencies like Bitcoin have also created different ways to send money by creating a trustless system that does not depend on any central authority. I discuss what Bitcoin is and exactly how it works and the flaws in the current system. Mining is the process that puts Bitcoin into circulation and secures the network. However, as more customized hardware is released, Bitcoin will fall subject to becoming more centralized, and unfortunately become heavy regulated if it is to be used as a currency.
Ethereum is a new technology that takes the concepts of Bitcoin and creates a platform for a developer to create a decentralized application. I create a few contracts that show how we can create a decentralized version of PayPal that works using other crypto- currencies. Ethereum is still in its alpha stage and has yet to be released to the public, but has already improved on the problems that Bitcoin and other crypto-currencies hold.
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Jermakovas, Ruslanas. "Rekomendacinis elektroninės prekybos platformos modelis." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2012~D_20131105_092012-43825.
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Šiame tyriamajame darbe suprojektuotas rekomendacinis elektroninės platformos modelis, kuris buvo dalinai realizuotas. Aprašyti svarbiausios tradicinės elektroninės parduotuvuės elementai. Išanalizuotos konkrečių elektroninių parduotuvių vartotojo sąsaja. Išskirti teigiami ir neigiami vartotojo sąsajos aspektai. Išanalizuotos atviro kodo (GPL (angl. General Public License – bendroji vieša licencija) elektroninės parduotuves. Išanalizuoti elektroninės parduotuvės veiklos sąveikos modeliai. Sukurtas el. Parduotuvės reikalavimų modelį, kuris apima geriausias nagrinėtų el. parduotuvių išskirtas sąvybes.<br>In this project e-eommerce elatform reference model was designed and partly implemented. Described the main elements of the traditional electronic shops. Were analyzed the user interface of the electronic stores. Distinguished positive and negative aspects of the user interface. Were analyzed the open-source e-shops. Analyzed business interaction models of electronic stores. Created e. Shop requirements model, which includes the best examined properties of e-stores.
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Estrada, Jiménez José Antonio. "Privacy in online advertising platforms." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/669772.
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Online advertising is consistently considered as the pillar of the "free• content on the Web since it is commonly the funding source of websites. Furthermore, the option of delivering personalizad ads has tumed advertising into a really valuable service for users, who receive ads tailored to their interests. Given its success in getting paying customers, online advertising is fueling a billionaire business. The current advertising model builds upon an intricate infrastructure whose main aim is to deliver personalized ads. For this purpose, a wealth of user data is collected, aggregated, processed and traded at an unprecedented rate. However, the intrusiveness and ubiquity of these practices prorrpt serious privacy concems.
In view of the inherent corrplexity behind the operation of ad platforms, privacy risks in the online advertising ecosystem could be studied from multiple perspectives. Naturally, most of the efforts unveiling these privacy issues concentrate on a specific entity, technology, behavior or context. However, such a segmented approach rright underestimate the benefits of a wider vision of a systerric problem. A lot of privacy protection echanisms have been proposed from the industry and acaderria. The most popular ones resort to radical strategies that hinder the ad distribution process, thus seriously affecting the online advertising ecosystem. Others involve significantly changing the ecosystem, which unfortunately may not be suitable in these times. Consequently, to encourage the adoption of privacy protection in this context, it is fundamental to pose mechanisms that aim at balancing the trade-off between user privacy and the web business model.
First, this thesis deals with the need to have a wide perspective of the privacy risks for users within the online advertising ecosystem and the protection approaches available. We survey the online advertising infrastructure and its supporting
technologies, and present a thorough overview of the undertying privacy risks and the solutions that may rritigate them. Through a systematic effort, we analyze the threats and potential privacy attackers in this scenario of online advertising.Then, we conduct a corrprehensive survey of the most relevant privacy mechanisms, and classify and con-pare them on the basis of their privacy guarantees and irrpact on the Web. Subsequently, we study the privacy risks derived from real-time bidding, a key enabling technology of modem online advertising. We experimentally explore the potential abuse of the process of user data sharing, necessary to support the auction-based
system in online advertising. Accordingly, we propase a system to regula te the distribution of u ser tracking data to potentially interested entities, depending on their previous behavior.This consists in reducing the nurnber of advertising agencies receiving user data. Doing so may affect the ad platform's revenue, thus the proposed system is designed to maxirrize the revenue while the abuse by advertising agencies is prevented to a large degree. Experimentally, the results of evaluation suggest that this system is able to correct rrisbehaving entities, consequently enhancing user privacy. Finally, we analyze the irrpact of online advertising and tracking from the particular perspective of lberoamerica.We study the third-party and ad tracking triggered within local websites in this heterogeneous region not previously studied. We found out that user location in this context would affect privacy since the intensity of third-party traffic, including advertising related flows of information, varies from country to country when local web traffic is simulated, although the total nurnber of entities behind this traffic seems stable. The type of content served by websites is also a parameter affecting the leve! of third-party tracking:publishers assiciated with news shopping categories generate more third-party traffic and such intensity is exarbated for top-world sites<br>La publicitat en línia té un paper important a Internet que permet finançar habitualment l'operació de llocs web que ofereixen contingut lliure als usuaris. A més, la personalització dels anuncis ha tornat la publicitat en línia un servei valuós per als usuaris. Si aconseguirem que hi hagi molts compradors siguin més que possibles, es promourà un negoci milionari. El model d'anuncis vigents es basa en una infraestructura completa que lliura els anuncis personalitzats. Pera això, es pot recopilar una gran quantitat de dades d'ús, agregar, processar i vendre molt ràpidament. Malauradament, aquestes pràctiques generen riscos de privadesa. Donada la complexitat de l'operació de les plataformes d'anuncis, els riscos de privacitat es poden estudiar des de diverses perspectives. Naturalment, els esforços per desenvolupar aquests problemes de privacitat es concentren en una entitat, tecnologia, comportament o context específic. Però aquest enfocament subestima els beneficis d'una perspectiva més àmplia d'un problema integral. Molts mecanismes de protecció han estat proposats des de la indústria i l’àmbit acadèmic. Els més populars apliquen estratègies radicals que obstrueixen la distribució d'anuncis, afectant seriosament l’ecosistema d'anuncis. També es pot modificar significativament l’ecosistema, el que no és factible per la seva conflictivitat. Així, amb la finalitat de fomentar l'adopció de protecció de privacitat, és fonamental plantejar solucions orientades a equilibrar les necessitats de privacitat amb el model de negocis de la web. Inicialment, la tesi ofereix una visió amplia dels riscos de privacitat i els mecanismes de protecció a ecosistema d'anuncis en línia. Això es pot aconseguir basant-se en una revisió de la infraestructura i tecnologies subjacents en aquest context. Analitza sistemàticament les amenaces i potencies atacants. A continuació es revisa exhaustivament els mecanismes de privacitat més rellevants, i es classifica i es compara segons les garanties de privacitat que s'ofereixen i el seu possible impacte a la web. Seguidament, s'estudia els riscos de privadesa derivats de les ofertes en temps real, una tecnologia clau del sistema d'anuncis en línia modern. Experimentalment, s'inverteixen els riscos del procés de distribució de dades d'ús, part del sistema basat en licitacions de la publicitat en línia. Es proposa un sistema que regula la distribució de dades d'ús a tercers, depenent del seu comportament previ. Això consisteix en reduir el nombre d’agències anunciants que rebin dades d'ús. Per mitigar l’impacte sobre els ingressos del sistema d'anuncis, aquesta reducció és malaltia i l'objectiu de maximitzar els declaracions ingressades. Experimentalment, es troba que el sistema proposat corregir els comportaments maliciosos, millorant la privacitat dels usuaris. Finalment, s'analitza l'impacte del rastre i la publicitat en línia des de la perspectiva iberoamericana. Estudiem el rastreig de tercers i allò relacionat amb els anuncis que se generen en llocs web locals en aquesta regió heterogènia. Trobem que la ubicació de l'usuari en aquest context afecta la privacitat de l'usuari ja que aquest rastreig varia de país a país, tot i que el nombre total d'entitats darrere d'aquest transit sembla estable. El tipus de contingut afecta també el nivell de rastreig: llocs web de noticies o de compres generen més transit cap a tercers i aquesta intensitat s'exacerba en els llocs més populars.
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Andersson, Per-Oskar. "Rhapsody on small processor platforms." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-12214.
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<p>Rhapsody is a Model-Driven Development (MDD) tool for embedded and real-time system design. The purpose of this thesis is to determine if Rhapsody can be used for software development on small processor platforms such as the Atmel AVR. Rhapsody is normally used on platforms running an operating system. Therefore certain adaptations are needed in order to use it on platforms without an operating system. These adaptations and their affect on the usability of the tool, advantages and disadvantages are all studied while porting AVR-software to Rhapsody on one of CC Systems products, the robust on-board computer CC Pilot XL II.</p><br><p>Rhapsody är ett verktyg för modelldriven utveckling och design av inbyggda system och realtidssystem. Syftet med detta examensarbete är att undersöka om Rhapsody kan användas för att utveckla mjukvara till små processorplattformar som Atmel’s AVR. Då Rhapsody normalt används till plattformar med ett operativsystem behöver vissa modifieringar göras för att möjliggöra utveckling mot plattformar utan operativsystem. Dessa modifieringar, deras för och nackdelar samt påverkan på utvecklingsprocessen undersöks medan AVR-mjukvara porteras till Rhapsody. Mjukvaran som porteras är en del av styrsystemet till en av CC Systems produkter: CC Pilot XL II, en robust fordonsdator.</p>