Dissertations / Theses on the topic 'Media Monitoring'
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Ji, Liu. "A Location-Aware Social Media Monitoring System." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31816.
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Social media users generate a large volume of data, which can contain meaningful and useful information. One such example is information about locations, which may be useful in applications such as marketing and security monitoring. There are two types of locations: location entities mentioned in the text of the messages and the physical locations of users. Extracting the first type of locations is not trivial because the location entities in the text are often ambiguous. In this thesis, we implement a sequential classification model with conditional random fields followed by a rule-based disambiguation model, we apply them to Twitter messages (tweets) and we show that they handle the ambiguous location entities in our dataset reasonably well. Only very few users disclose their physical locations; in order to automatically detect their locations, many approaches have been proposed using various types of information, including the tweets posted by the users. It is not easy to infer the original locations from text data, because text tends to be noisy, particularly in social media. Recently, deep learning techniques have been shown to reduce the error rate of many machine learning tasks, due to their ability to learn meaningful representations of input data. We investigate the potential of building a deep-learning architecture to infer the location of Twitter users based merely on their tweets. We find that stacked denoising auto-encoders are well suited for this task, with results comparable to state-of-the-art models. Finally, we combine the two models above with a third-party sentiment analysis tool and obtain a intelligent social media monitoring system. We show a demo of the system and that it is able to predict and visualize the locations and sentiments contained in a stream of tweets related to mobile phone brands - a typical real world e-business application.
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Estrada, Camilo Ernesto Restrepo. "Use of social media data in flood monitoring." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18138/tde-19032019-143847/.
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Floods are one of the most devastating types of worldwide disasters in terms of human, economic, and social losses. If authoritative data is scarce, or unavailable for some periods, other sources of information are required to improve streamflow estimation and early flood warnings. Georeferenced social media messages are increasingly being regarded as an alternative source of information for coping with flood risks. However, existing studies have mostly concentrated on the links between geo-social media activity and flooded areas. This thesis aims to show a novel methodology that shows a way to close the research gap regarding the use of social networks as a proxy for precipitation-runoff and flood forecast estimates. To address this, it is proposed to use a transformation function that creates a proxy variable for rainfall by analysing messages from geo-social media and precipitation measurements from authoritative sources, which are then incorporated into a hydrological model for the flow estimation. Then the proxy and authoritative rainfall data are merged to be used in a data assimilation scheme using the Ensemble Kalman Filter (EnKF). It is found that the combined use of authoritative rainfall values with the social media proxy variable as input to the Probability Distributed Model (PDM), improves flow simulations for flood monitoring. In addition, it is found that when these models are made under a scheme of fusion-assimilation of data, the results improve even more, becoming a tool that can help in the monitoring of \"ungauged\" or \"poorly gauged\" catchments. The main contribution of this thesis is the creation of a completely original source of rain monitoring, which had not been explored in the literature in a quantitative way. It also shows how the joint use of this source and data assimilation methodologies aid to detect flood events.As inundações são um dos tipos mais devastadores de desastres em todo o mundo em termos de perdas humanas, econômicas e sociais. Se os dados oficiais forem escassos ou indisponíveis por alguns períodos, outras fontes de informação são necessárias para melhorar a estimativa de vazões e antecipar avisos de inundação. Esta tese tem como objetivo mostrar uma metodologia que mostra uma maneira de fechar a lacuna de pesquisa em relação ao uso de redes sociais como uma proxy para as estimativas de precipitação e escoamento. Para resolver isso, propõe-se usar uma função de transformação que cria uma variável proxy para a precipitação, analisando mensagens de medições geo-sociais e precipitação de fontes oficiais, que são incorporadas em um modelo hidrológico para a estimativa de fluxo. Em seguida, os dados de proxy e precipitação oficial são fusionados para serem usados em um esquema de assimilação de dados usando o Ensemble Kalman Filter (EnKF). Descobriu-se que o uso combinado de valores oficiais de precipitação com a variável proxy das mídias sociais como entrada para o modelo distribuído de probabilidade (Probability Distributed Model - PDM) melhora as simulações de fluxo para o monitoramento de inundações. A principal contribuição desta tese é a criação de uma fonte completamente original de monitoramento de chuva, que não havia sido explorada na literatura de forma quantitativa.
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Jansson, Sebastian, Christoffer Karlsson, and Adam Pettersson. "Social Media Monitoring Varumärkesstärkande omvärldsbevakning på sociala medier." Thesis, Örebro universitet, Handelshögskolan vid Örebro Universitet, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-49268.
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Duffková, Pavlína. "Comparative effectiveness analysis of social media monitoring tools." Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-149911.
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The main objective of this master thesis is a comparative effectiveness analysis of selected social media monitoring tools. The theoretical part of the thesis first familiarizes the reader with the core terms, which will be used throughout the thesis. The next chapter focuses on the detailed specification of classic online marketing. It describes the growing trend of social media marketing and charts out its current status on the Czech online market. In addition, the vital SEO and SEM techniques are also described. The subsequent chapter is devoted to social network marketing, where the increasing power of "word of mouth" in purchase behavior, is explained. Last but not least, illustrative examples of the most successful social media marketing campaigns are listed. The next part deals with the issues of monitoring social media. The reasons for monitoring social media, its principles and features are stated in this chapter. The practical part of this thesis has a described methodology for testing selected tools, acceptance criteria and metrics of measurement. The selected tools are compared in terms of qualitative properties and the relevance of results, both from a global perspective with English phrases, as well as from the perspective of local phrases suitable for the Czech environment. In the second test a set of free monitoring tools is determined and compared with the tools from the first test. In the conclusion is the last measurement, which is proposes the most appropriate monitoring tool for small sized Czech company.
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Senka, Bengin. "Optimizacija procesa i alata namenjenih monitoringu medija." Phd thesis, Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, 2015. http://www.cris.uns.ac.rs/record.jsf?recordId=94823&source=NDLTD&language=en.
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U disertaciji je dat prikaz procesa monitoringa medija u uslovima delimične digitalizacije štampanih medija, koji se, u najvećem meri, zasniva na procesu pres klipinga. Realizovana je njegova optimizacija metodom lineranog programiranja (LP- Linear Programing), metodom celobrojnog lineranog programiranja (ILP- Integer Linear Programing) i metodom grananja i ograničavanja (Branch and Bound). U optimizaciji je korišćen softver CPLEX. Optimizacijom je dobijen globalni optimum raspodele zadataka među zaposlenima; smanjenja broja zaposlenih u radnim smenama i ravnomernog skraćenja radne smene u slučajevima manjeg broja radnih zadataka.In this dissertation the process of media monitoring in case of incomplete digitalization of printed media is discussed. According to this model, media monitoring service is mainly based on monitoring of news in the printed media - press clipping. Considering that the monitoring of the printed media is complex process, we realized optimization of media monitoring process by using Linear Programming (LP), Integer Linear Programming (ILP), as well as Branch and Bound method. The optimization software CPLEX is used. The global optimum of tasks distribution among employees; reducing number of employees working in shifts and balanced shortening of the work shift in case of a small number of tasks is obtained.
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Bank, Mathias. "AIM - A Social Media Monitoring System for Quality Engineering." Doctoral thesis, Universitätsbibliothek Leipzig, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-115894.
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In the last few years the World Wide Web has dramatically changed the way people are communicating with each other. The growing availability of Social Media Systems like Internet fora, weblogs and social networks ensure that the Internet is today, what it was originally designed for: A technical platform in which all users are able to interact with each other. Nowadays, there are billions of user comments available discussing all aspects of life and the data source is still growing. This thesis investigates, whether it is possible to use this growing amount of freely provided user comments to extract quality related information. The concept is based on the observation that customers are not only posting marketing relevant information. They also publish product oriented content including positive and negative experiences. It is assumed that this information represents a valuable data source for quality analyses: The original voices of the customers promise to specify a more exact and more concrete definition of \"quality\" than the one that is available to manufacturers or market researchers today. However, the huge amount of unstructured user comments makes their evaluation very complex. It is impossible for an analysis protagonist to manually investigate the provided customer feedback. Therefore, Social Media specific algorithms have to be developed to collect, pre-process and finally analyze the data. This has been done by the Social Media monitoring system AIM (Automotive Internet Mining) that is the subject of this thesis. It investigates how manufacturers, products, product features and related opinions are discussed in order to estimate the overall product quality from the customers\\\' point of view. AIM is able to track different types of data sources using a flexible multi-agent based crawler architecture. In contrast to classical web crawlers, the multi-agent based crawler supports individual crawling policies to minimize the download of irrelevant web pages. In addition, an unsupervised wrapper induction algorithm is introduced to automatically generate content extraction parameters which are specific for the crawled Social Media systems. The extracted user comments are analyzed by different content analysis algorithms to gain a deeper insight into the discussed topics and opinions. Hereby, three different topic types are supported depending on the analysis needs. * The creation of highly reliable analysis results is realized by using a special context-aware taxonomy-based classification system. * Fast ad-hoc analyses are applied on top of classical fulltext search capabilities. * Finally, AIM supports the detection of blind-spots by using a new fuzzified hierarchical clustering algorithm. It generates topical clusters while supporting multiple topics within each user comment. All three topic types are treated in a unified way to enable an analysis protagonist to apply all methods simultaneously and in exchange. The systematically processed user comments are visualized within an easy and flexible interactive analysis frontend. Special abstraction techniques support the investigation of thousands of user comments with minimal time efforts. Hereby, specifically created indices show the relevancy and customer satisfaction of a given topicIn den letzten Jahren hat sich das World Wide Web dramatisch verändert. War es vor einigen Jahren noch primär eine Informationsquelle, in der ein kleiner Anteil der Nutzer Inhalte veröffentlichen konnte, so hat sich daraus eine Kommunikationsplattform entwickelt, in der jeder Nutzer aktiv teilnehmen kann. Die dadurch enstehende Datenmenge behandelt jeden Aspekt des täglichen Lebens. So auch Qualitätsthemen. Die Analyse der Daten verspricht Qualitätssicherungsmaßnahmen deutlich zu verbessern. Es können dadurch Themen behandelt werden, die mit klassischen Sensoren schwer zu messen sind. Die systematische und reproduzierbare Analyse von benutzergenerierten Daten erfordert jedoch die Anpassung bestehender Tools sowie die Entwicklung neuer Social-Media spezifischer Algorithmen. Diese Arbeit schafft hierfür ein völlig neues Social Media Monitoring-System, mit dessen Hilfe ein Analyst tausende Benutzerbeiträge mit minimaler Zeitanforderung analysieren kann. Die Anwendung des Systems hat einige Vorteile aufgezeigt, die es ermöglichen, die kundengetriebene Definition von \"Qualität\" zu erkennen
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Mazzini, Lisa. "Progettazione e prototipazione di un sistema di Social Media Monitoring." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11886/.
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I sistemi di Social Media Monitoring hanno l'obiettivo di analizzare dati provenienti da social media come social network, forum e blog (detti User-Generated Content) per trarre un quadro generale delle opinioni degli utenti a proposito di un particolare argomento.
Il progetto di tesi si pone l'obiettivo di progettare e creare un prototipo per un sistema di Social Media Monitoring concentrato in particolare sull'analisi di contenuti provenienti da Twitter.
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Beane, David A. "A Tale of Self-Monitoring, Social Capital, and Social Media." UNF Digital Commons, 2012. http://digitalcommons.unf.edu/etd/343.
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We examined whether individual self-monitoring differences predict what type of relationships people have on Facebook. In the offline world, high self-monitors have large heterogeneous social networks made up of weak emotional ties, whereas low self-monitors have small homogenous social networks made up of strong emotional ties. In our study, we defined online relationships in terms of bridging and bonding social capital. Bridging social capital refers to large heterogeneous social networks made up of weak emotional ties. People maintain these relationships for social benefits. Bonding social capital refers to small homogeneous social networks made up of strong emotional ties. People maintain these relationships for emotional benefits. We predicted high self-monitors will have more bridging than bonding social capital on Facebook; low self-monitors will have more bonding than bridging social capital on Facebook. We believed attitudes about using Facebook would moderate these relationships. We used Snyder‟s Self-Monitoring Scale, Williams‟ Online Social Capital Scales, and Facebook Intensity Scale to assess our variables of interest. We found support for our hypotheses. For high self-monitors, greater importance placed on Facebook usage predicted increases in bridging social capital on Facebook; for low self-monitors, greater importance placed on Facebook usage predicted increases in bonding social capital on Facebook. Keywords: self-monitoring, social capital, social media, Facebook
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Bergstrand, Fredrik, and Emily Finlaw. "Enhancing Current Feedback Processes through Social Media Monitoring : An exploratory study of Social Media and Social Media monitoring practices within an MNC looking to combine new practices with traditional customer-centric processes." Thesis, Linnéuniversitetet, Ekonomihögskolan, ELNU, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-12119.
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This thesis provides an understanding of Social Media monitoring as a business intelligence system and how a multinational corporation can use these processes to complement existing traditional feedback processes. The purpose of this thesis is to provide the reader with a literature review of Social Media and Social Media monitoring, and an exploratory study of Social Media monitoring practices within a multinational corporation looking to integrate these systems. The chosen research strategy is a case study with single-case embedded analysis. The case company used for this practice is Volvo Construction Equipment Region International with headquarters in Eskilstuna, Sweden. In order to receive a more in-depth understanding from our respondents, the qualitative method was selected. The theoretical framework chapter discusses five major research areas including Customer Relationship Management, Social Media and Social Media monitoring, Intelligence, knowledge management and organizational learning. The empirical evidence chapter has been divided into two sections: internal findings and external findings. The internal findings focus on Volvo Construction Equipment Region International and the company‟s current feedback process. The external findings focus on the comparison between Social Media monitoring companies. The analysis links together the internal and external findings from the empirical section and also draws references to the theoretical framework. The conclusion of this thesis states how a multinational corporation can add value to current feedback processes through the use of Social Media monitoring. This is reached through addressing the purpose of this thesis and answering the main research question and the sub research questions. Social Media monitoring can add value to current feedback processes through reducing time, fostering customer relationships, increasing flexibility, and receiving feedback from non-customers. Social Media monitoring when used effectively, can act as a complement to traditional customer feedback collection methods. Recommendations are made specifically for Volvo Construction Equipment Region International and are based upon an entry strategy with Social Media monitoring. Since this thesis was written within a limited time period, further research areas are presented at the end of the work.
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Elgün, Levent, and Jürgen Karla. "Ausgestaltung eines Social Media Monitorings." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-101032.
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1 Optionen für ein Social Media Monitoring
Für Unternehmen sind Social Media – derzeit noch vorrangig im Marketingbereich – von großem Interesse. Aufgrund der hohen Geschwindigkeit der Informationsgenerierung und -verbreitung, der Glaubwürdigkeit im Rahmen des subjektiven Meinungsaustauschs sowie der Masse an verfügbaren Informationen stellen sie insbesondere für kleine und mittlere Unternehmen eine große Herausforderung dar. Diese besteht dabei nicht nur aus der Minimierung der Risiken, wie beispielsweise dem Umgang mit massiven verbalen Attacken von Nutzern gegen ein Unternehmen, sondern auch in der gewinnbringenden Verwendung der verfügbaren Informationen. Um letztere zu erreichen, müssen die Social Media-Dienste mit einer klar definierten Strategie beobachtet und ausgewertet werden (Monitoring). Gewonnene Erkenntnisse müssen anschließend im Unternehmen angewendet werden. Dadurch eröffnen sich für Unternehmen nutzenbringende Möglichkeiten, wie beispielsweise Erkenntnisse über Nutzermeinungen zum eigenen Unternehmen, zu dessen Produkten oder Dienstleistungen sowie zu dessen Mitbewerbern. Das Monitoring der Dienste geht allerdings mit einer hohen Komplexität einher, da zahlreiche Faktoren und Anforderungen bewertet und beachtet werden müssen.
Der vorliegende Beitrag widmet sich insbesondere der Aufarbeitung der Anforderungen die ein Unternehmen an ein Social Media Monitoring-Tool stellen kann. Zunächst wird dazu das Angebot möglicher Tools klassifiziert. Basierend auf der Funktionalität der Tools werden anschließend die Anforderungen herausgearbeitet und beschrieben. Der Beitrag schießt mit der kurzen Darstellung eines Konzeptionierungsansatzes.
[...]
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Ramsay, David B. (David Bradford). "LearnAir : toward intelligent, personal air quality monitoring." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107555.
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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2016.Cataloged from PDF version of thesis.
Includes bibliographical references (pages [209]-215).
Air pollution is responsible for :1/8 of deaths around the world. While the importance of air quality has led to a boom in inexpensive air sensors, studies have shown that the status quo of sparse, fixed sensors cannot accurately capture personal exposure levels of nearby populations. Especially in urban landscapes, pollutant concentrations can vary over just a few seconds or a few meters. Unfortunately, the portable monitors that are capable of accurately measuring these pollutants cost thousands of dollars. That hasn't stopped a deluge of cheap, portable consumer devices from entering the market. These solutions frequently claim better accuracy, but universally fail under real-world validation. Instead of competing to build a more accurate sensor, we take the approach of trying to predict when we can trust the cheap sensor we have, based on ambient conditions and measurements. Well-designed, sub-$100 sensors have recently started to perform with high precision and accuracy. While their fundamental operation is sound, these affordable sensors cannot incorporate costly, industry standard techniques for mitigating issues like cross-sensitivity, dynamic airflow, or high humidity. Fortunately, if the core principles of the device are robust, machine learning techniques should be able to predict systematic measurement failure based on a handful of related indicators. In this thesis, we test and demonstrate the potential for logistic regression machine learning techniques to predict and classify sensor measurements as 'correct' or 'incorrect' with high reliability. These techniques are also useful for quantifying sensor precision as well as cross-seasonal prediction strength. After demonstrating the value of this approach, we implement a scalable database solution using a semantic web technology know as ChainAPI. The tools developed for this framework allow automatic learning algorithms to crawl through the database, access the most recent data, update their training model, and populate the database with the processed data for other crawling scripts to interact with. This backend has implications for air quality data storage, interaction, and exchange. Finally, we build a portable, Bluetooth enabled air quality device that connects to ChainAPI through a mobile phone app, and takes advantage of the machine learning algorithms running in its backend. This device improves the reliability of sensor data compared with similar-cost systems. The learnAir device empowers individuals to trust their personal air quality data, and provokes a dialog about sensor reliability in the citizen sensing community. Its novel database architecture promotes new ways of interacting with large, dynamic datasets, and new tools to characterize affordable sensors and devices. Finally, applied logistic regression algorithms assure the accuracy of cheap, distributed sensor data- creating a trusted way for researchers to collaborate with citizen scientists from around the world.
by David B. Ramsay.
S.M.
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Salkic, Sabina. "Monitoring Photocatalytic Degradation of X-ray Contrast Media with Raman Spectroscopy." TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1167.
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X-ray contrast media such as diatrizoate and iohexol have been found in wastewater and drinking water and are difficult to remove because they are resistant to water treatment processes. A removal process can be started with ultraviolet photocatalytic degradation of X-ray contrast media in the presence of titanium dioxide or other catalysts. Raman spectra of diatrizoate and iohexol were taken in an aqueous solution in the presence and absence of titanium dioxide during exposure to ultraviolet radiation. Raman intensity is directly proportional to concentration; therefore, we can measure the rate of the reaction based on changes in the Raman spectrum. Changes were monitored for eight hours. Evidence of photoreaction is observed, indicating that the degradation of X-ray contrast media can be measured using Raman spectra. To our knowledge, this represents the first use of Raman spectroscopy to monitor photocatalytic degradation in real time, opening a potentially powerful approach to studying the removal of pollutants in the environment.
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Martini, Leila. "Monitoring and Use of Social Media In Emergncy Management In Florida." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5359.
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The emergence of mobile technologies and social media applications has led to a shift in the emergency/disaster related communication environment. Citizens are playing an increasingly important role in providing real time information to emergency organizations. This shift has resulted in an expectation by the public that emergency management (EM) organizations monitor and respond to calls for help disseminated via these applications. The purpose of this study is to explore the extent to which Florida EM agencies have incorporated the monitoring of social media into their organizational processes.
The state of social media use in Florida is under researched. In this explanatory sequential design study, Florida EM personnel was surveyed using the CNA Analyst/National Emergency Management Association (NEMA) survey (Su et. al, 2012) on the use of social media in EM. Subsequently, a subset of respondents was interviewed to determine to what extent they have incorporated the monitoring of social media into their organizational processes.
Several recommendations can be made related to the use of social media in emergency management in Florida. Each of these is discussed in detail: 1.) Reverse mentoring programs; 2.) Development of social media policies; 3.) Continue to attend trainings and conferences; 4.) Explore promising practices; and 5.) Social marketing campaigns for citizens.
Overall, it appears that Florida has an immature yet evolving system for use of social media in emergency management. While Florida EM agencies are knowledgeable about social media in general, they lack policies, systems, and staff to take full advantage of social media as a tool in emergency management. As more training is offered, and promising practices are shared, systems will likely continue to evolve. The evolution of systems within agencies will depend largely on leadership attitudes, organizational policies, and staffing resources.
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Bukovský, Radim. "Signální monitoring chování dodavatelů/zákazníků." Master's thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-74917.
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The diploma thesis contains knowledge in relatively young information industry branch -- signal monitoring. After reading through this document the reader gains understanding of the essence of signal monitoring, what it is useful for, how it is represented and what the vision of the future related with signal monitoring is. Main part of the thesis is dedicated to the products conveying signal monitoring theory into praxis, their functionality description and the specific software extended functions suggestion. Design of signal monitoring domains connected with particular company is also included.
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Lau, Matthew B. (Matthew Bock Wor) 1974. "The Snap! toolkit : a model for pluggable monitoring." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/69204.
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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning. Program in Media Arts and Sciences, 2000.Includes bibliographical references (leaves 51-52).
Thousands of engineering hours have been spent duplicating efforts as independent groups, each toward their own application, all build the core parts of a body monitoring system. A search of the National Library of Medicine's MEDLINE database on the words "physiology" and "monitoring" returns a list of 66,461 documents from 1966 to present. This thesis describes the Snap! sensor architecture, a toolkit designed to address this problem. It provides a set of modules and interconnect protocols to give the system designer a foundation from which to build embedded sensor devices. By defining a set of standards that maximize both modularity and flexibility, Snap! has eliminated the need to constantly rebuild the fundamental pieces of a monitor. Because of its organization, Snap! is particularly suited to the rapid prototyping of experimental systems.
by Matthew B. Lau.
S.M.
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Bellini, Sarah. "Multispectral optics in complex media : theory and application to dense microalgal media in a context of mass cultivation monitoring." Thesis, Montpellier, SupAgro, 2014. http://www.theses.fr/2014NSAM0031/document.
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Les microalgues autotrophes sont une source prometteuse de biomasse pour des applications aussi variées que l'extraction de molécules, l'alimentation animale et humaine, la production énergétique ou la décontamination environnementale. La production de masse est donc en forte augmentation dans le monde. Cependant, les techniques actuelles pour caractériser l'état physiologique des cellules algales au cours de la croissance sont coûteuses en main d'œuvre et en temps, souvent basées sur du matériel de mesure générique répondant mal au cahier des charges. Elles sont inadaptées à la mesure en ligne.De nouveaux outils doivent donc être développés pour optimiser le pilotage des procédés de culture, en effectuant des mesures rapides de l'état physico-chimique des cellules. La spectroscopie visible (VIS) et proche infrarouge (NIR) se présente comme une solution pratique. De plus des travaux antérieurs ont démontrés que les propriétés spectrales d'absorption et de diffusion des cellules d'algues dans le domaine VIS-NIR sont très corrélées à leur caractéristiques chimiques (pigments) et physiques (tailles, densité des cellules). Les densités de cellules considérées en cultures denses sont très élevées (10^6-10^9 cellules/mL), rendant inévitables les phénomènes de multidiffusion. Cependant ces derniers ont été identifiés comme gênants pour l'extraction de données à partir des spectres mesurés, car ils rendent l'hypothèse de validité de la loi de Beer Lambert fausse. Dans cette thèse nous nous intéressons à l'extraction de données sur la physiologie des cellules algales à partir de mesures spectrales effectuées sur des échantillons denses, non-dilués, directement issus du milieu de culture. Notre approche se décline en plusieurs axes, correspondants aux différentes échelles de description du problème. D'abord, l'échelle de l'échantillon algal global est considérée. Nous en définissons les propriétés spectrales apparentes, et analysons le problème pratique de leur mesure. Nous avons utilisé un montage à double sphères d'intégration et développé un protocole de mesure complet, que nous décrivons. Ensuite, les propriétés spectrales linéaires intrinsèques au milieu algal sont abordées, et nous cherchons à les reliées aux propriétés apparentes de l'échantillon. Pour cela nous utilisons le formalisme de l'équation de transfert radiatif (ETR) donnant une modélisation rigoureuse des phénomènes de multidiffusion à l'œuvre dans les milieux turbides. En pratique, résoudre l'ETR ne peut se faire que par une approximation ou la simulation. Dans nos travaux nous examinons la méthode Adding-Doubling et son inverse, utilisées avec succès par d'autres équipes sur des échantillons turbides de tissus biologiques. En troisième lieu, l'échelle de description de la cellule d'algue individuelle est abordée. AlgaSim, un programme de simulation basé sur la théorie de Mie étendue, a été développé au cours de cette thèse pour modéliser les spectres d'absorption et de diffusion d'une cellule algale décrite par ses paramètres physiologiques, tels que la taille et le poids sec, les proportions des différents matériaux cellulaires, la quantité et la composition des pigments. Ainsi, les liens entre propriétés physiques et chimiques de la cellule et ses propriétés spectrales sont étudiés. Enfin, une méthode complète est proposée pour articuler toutes les échelles de description précédemment examinées. Les liens entre propriétés intrinsèques du milieu algal et les propriétés optiques individuelles des cellules sont cherchés. Les paradigmes développés aux différentes échelles sont ensuite mis bout à bout pour relier la description physiologique des cellules d'algue aux propriétés spectrales apparentes mesurées sur un échantillon donné. La méthode est testée sur des échantillons algaux réels. Les premiers résultats sont prometteurs, démontrant le potentiel opérationnel de la spectroscopie VIS-NIR pour le suivi de procédés de culture dense de microalguesAutotrophic microalgae are seen as a promising source of biomass for various applications such as chemicals extraction, animal and human food, energy production and environment cleaning. Consequently, the global mass production of microalgae has largely increased over the last decade. However, the current techniques used for the characterization of the algal cells all along the growth process require time-consuming sample preparation, a large amount of costly, standard instrumentation and cannot usually be performed in situ.New tools are needed to optimize the monitoring of the cultivation process by providing a faster measurement of the microalgal cells physical and chemical states. For this purpose, utilizing visible (VIS) and near infrared (NIR) spectroscopy is looked as a promising solution. Moreover, previous studies demonstrated that the spectral absorption and scattering properties of microalgal suspensions in the VIS-NIR domain depend heavily on the chemical characteristics (pigments) and physical characteristics of the cells (size, density of the cells). In a context of cultivation process, cell density in the culture medium is very high (10^6-10^9 cell/mL) which makes the multi-scattering phenomena significant. However, recent studies have showed that the data extraction from spectroscopic measurements performed on turbid samples is highly complicated by the influence of the scattering phenomena on the spectra, making the classical processing methods based on the assumption of Beer law irrelevant. This thesis addresses the issue of retrieving information about the physiological state of microalgal cells from spectral measurements performed on non-diluted, dense bulk culture media. For this purpose, our approach includes successive guidelines, corresponding to different scales of description. First, the scale of the bulk algal aliquot is considered: the apparent spectral properties are defined, and the practical issue of measuring them with an adapted setup is investigated. In particular, a double-integrating sphere setup, as well as a complete measurement protocol are implemented. Second, the intrinsic linear spectral properties of the dense algal medium are defined, and the links between the intrinsic and apparent spectral properties are investigated. The formalism of the radiative transport equation (RTE) is used for this purpose, as it rigorously models the physical phenomena due to multiple scattering. Solving the RTE must be implemented in practice with an approximation or simulation method. In this work, we investigate in particular the Adding-Doubling method and its inverse, which have been proved to be adapted to the case of highly turbid organic tissues and materials. Third, the scale of an individual algal cell is considered. In this thesis we have developed a simulation program called AlgaSim based of the extended Mie theory, which makes it possible to simulate the spectral absorption and scattering properties of an algal cell described by its physiological characteristics, such as its mean size and dry weight, proportions of different cell materials and pigment quantity and composition. The links between the chemical and physical properties of an algal cell and its spectral properties are thus investigated.Finally, a complete method is proposed to link all the scales of description. In particular, the links between the intrinsic spectral properties of an algal medium and the individual properties of the constitutive cells are considered. By organizing all the paradigms previously investigated, it is possible to implement a complete model linking the physiological description of the constitutive algal cells to the apparent spectral properties measured on a dense culture sample. The method and its inverse are tested on real algal samples. They show promising primary results, proving the operational potential of VIS-NIR spectroscopy for the monitoring of dense algal cultures
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Ikard, Scott. "Geoelectric monitoring of seepage in porous media with engineering applications to earthen dams." Thesis, Colorado School of Mines, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3602502.
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A monitoring methodology is developed for investigating seepage and internal erosion in earthen dams with time-lapse measurements of self-potential anomalies associated with conservative salt and non-conservative heat tracer migration in the subsurface. The method allows for 1) detecting seepage zones in earthen dams and determining the preferential flow paths through seepage zones in a non-invasive manner from the ground surface, 2) monitoring the transient evolution of seepage path geometry, flow velocity, and permeability in real-time if high frequency measurements can be made, and 3) long-term non-invasive monitoring with wired or wireless sensors The method is first theoretically developed and tested in a laboratory using a conservative tracer, and then demonstrated at a 12 m high, 100 m long leaking earthen dam with complex, unknown seepage paths. The method is shown to be capable of rapidly detecting seepage zones discovered during a reconnaissance survey, and delineates the predominant seepage directions through the dam from the time-lapse self-potential anomalies. The time-lapse monitoring approach ensures improved spatial resolution, increased measurement frequencies, and improved data analysis capabilities relative to traditional approaches to seepage detection, and a cost-reduction for the application of this methodology is anticipated to follow advancements in wireless sensing and monitoring technologies. This method is designed to be a more cost-effective means of interrogating earthen dams and levees to answer questions such as: Is the dam safe? What are the geometries of the seepage zones inside of the dam, and over what spatial scale does anomalous seepage occur? What are preferential paths through the seepage zones? Is internal erosion actively occurring? At what rates are the geometries, permeabilities and flow rates of preferential seepage paths evolving?
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Boltze, Uta. "Gas emissions relevant to waste management, through watertables in porous media." Thesis, Imperial College London, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307822.
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Lee, Seung Joon. "Dissolved oxygen and pH monitoring within cell culture media using a hydrogel microarray sensor." [College Station, Tex. : Texas A&M University, 2006. http://hdl.handle.net/1969.1/ETD-TAMU-1046.
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Yolcubal, Irfan. "In-situ monitoring of microbial activity and biodegradation during solute transport in porous media." Diss., The University of Arizona, 2001. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_2001_290_sip1_w.pdf&type=application/pdf.
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Jamil, Zunaira. "Monitoring Tweets for Depression to Detect At-Risk Users." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36030.
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According to the World Health Organization, mental health is an integral part of health and well-being. Mental illness can affect anyone, rich or poor, male or female. One such example of mental illness is depression. In Canada 5.3% of the population had presented a depressive episode in the past 12 months. Depression is difficult to diagnose, resulting in high under-diagnosis. Diagnosing depression is often based on self-reported experiences, behaviors reported by relatives, and a mental status examination. Currently, author- ities use surveys and questionnaires to identify individuals who may be at risk of depression. This process is time-consuming and costly.
We propose an automated system that can identify at-risk users from their public social media activity. More specifically, we identify at-risk users from Twitter. To achieve this goal we trained a user-level classifier using Support Vector Machine (SVM) that can detect at-risk users with a recall of 0.8750 and a precision of 0.7778.
We also trained a tweet-level classifier that predicts if a tweet indicates distress. This task was much more difficult due to the imbalanced data. In the dataset that we labeled, we came across 5% distress tweets and 95% non-distress tweets. To handle this class imbalance, we used undersampling methods. The resulting classifier uses SVM and performs with a recall of 0.8020 and a precision of 0.1237.
Our system can be used by authorities to find a focused group of at-risk users. It is not a platform for labeling an individual as a patient with depres- sion, but only a platform for raising an alarm so that the relevant authorities could take necessary interventions to further analyze the predicted user to confirm his/her state of mental health. We respect the ethical boundaries relating to the use of social media data and therefore do not use any user identification information in our research.
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Dahl, Jonatan. "Designing Interaction and Visualization for Exploration of System Monitoring Data : A design-oriented research study on exploring new ways of designing useful visualizations and interaction for system monitoring data using web technologies." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171947.
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System monitoring is a practice that is frequent within companies providing digital products to consumers and is a common way to help developers contribute to a good enduser experience by ensuring a high availability and good performance of the product. This thesis is a design-driven exploratory study on designing interaction and visualization for system monitoring data, using web technologies. The design space spans over interaction design and technical domains, exploring system monitoring data interaction and visualization from an HCI perspective as well as technical possibilities and limitations of the web platform. An artifact embodying new ideas and design visions regarding the topic is created in close collaboration with the target users. The artifact expresses possible and potentially valuable inventions regarding exploration of system monitoring data. It also emphasizes the close relationship between system monitoring and physical space and how the interaction with it can provide a useful sense of place to the data. Technical insights and good practices regarding developing performant data visualization user interfaces is also presented and motivated, where two methods providing different strengths and weaknesses are described.
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Freifeld, Clark. "Participatory epidemiology : harnessing the HealthMap platform for community-based disease outbreak monitoring." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/57707.
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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2010.Cataloged from PDF version of thesis.
Includes bibliographical references (p. 66-69).
Due to increasing global trade and travel along with a range of environmental factors, emerging infectious diseases such as Severe Acute Respiratory Syndrome (SARS), drug-resistant tuberculosis, and 2009 HiNi continue to have significant impact on morbidity, mortality, and commerce worldwide. Early warning and detection of outbreaks plays an important role in protecting against disease, allowing public health authorities, organizations, and citizens to implement control measures rapidly. Due to its global reach, 2009 pandemic HiNi represented not only a unique call to action for disease outbreak detection systems, but also precipitated increased public awareness of issues of emerging infection. This thesis explores the use of informal, user-contributed disease reports from the general public as a means to improve knowledge of local events and enhance early warning during the first and second waves of 2009 HiNi. Building on the established HealthMap system, which has shown the effectiveness of using news media sources for rapid detection of outbreak events, we introduced the concept of "participatory epidemiology." Through a series of software tools for Web and smartphone, we invited users from the general public to contribute their own knowledge and awareness of local activity. We deployed the system in two phases: in the first phase, users could contribute links to existing sources of online information; in the second phase, users could also contribute free-form reports of their own experiences or events in their local communities. We received over 3,000 user submissions over the course of the study period from March 2009 to April 2010. We evaluated the system by examining a subset of notable reports and analyzing their timeliness as compared to previously existing HealthMap sources, as well as a range of qualitative factors demonstrating the potential for our approach. We further evaluated submissions relating to HiNI in the U.S. by aggregating and comparing their volume to the Centers for Disease Control and Prevention influenza activity metrics, finding a Pearson's correlation of 0.74. Overall, the study indicates that with the appropriate tools, everyday citizens can play an important role in identifying and reporting infectious disease activity. The system is currently in active use and further development is ongoing.
by Clark C. Freifeld.
S.M.
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Förderer, Steffen-Marc. "Converting Network Media Data into Human Readable Form : A study on deep packet inspection with with real-time visualization." Thesis, Linnéuniversitetet, Institutionen för datavetenskap, fysik och matematik, DFM, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-18289.
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A proof of concept study into the working of network media capture and visualization through the use of Packet Capture in real-time. An application was developed that is able to capture tcp network packets; identify and display images in raw HTTP network traffic through the use of search, sort, error detection, timeout failsafe algorithms in real time. The application was designed for network administrators to visualize raw network media content together with its relevant network source \& address identifiers. Different approaches were tried and tested such as using Perl with GTK+ and Visual Studio C\# .Net. Furthermore two different types of image identification methods were used: raw magic string identification in pure tcp network traffic and HTTP Mime type identification. The latter being more accurate and faster. C# was seen as vastly superior in both speed of prototyping and final performance evaluation. The study presents a novel new way of monitoring networks on the basis of their media content through deep packet inspection
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Wallin, Stefan. "Alarm and service monitoring of large scale multi-service mobile networks." Licentiate thesis, Luleå : Department of Computer Science and Electrical Engineering, Luleå University of Technology, 2009. http://pure.ltu.se/ws/fbspretrieve/2710296.
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Müller, Thomas Friedrich. "Immunologisches Monitoring nach Organtransplantation /." Lengerich ; Berlin ; Düsseldorf ; Leipzig ; Riga ; Scottsdale (USA) ; Wien ; Zagreb : Pabst, 1998. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=008314633&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Ducao, Arlene (Arlene Brigoli). "OpenIR [Open Infrared] : enhancing environmental monitoring through accessible remote sensing, in Indonesia and beyond." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82423.
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Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2013.Cataloged from PDF version of thesis.
Includes bibliographical references.
As the human landscape changes ever more rapidly, environmental change accelerates. Much environmental information is publicly available as infrared satellite data. However, for the general user, this information is difficult to obtain, and even more difficult to interpret. With this in mind, my team and I launched OpenIR (Open Infrared), an ICT (Information Communication Technology) that provides geo-located IR (infrared) satellite data as ondemand map layers, automates environmental feature classification, experiments with flood risk mapping, and interfaces IR data with crowd- and citizen-maps. OpenIR's initial use case is emergency management and environmental monitoring in the economically developing and ecologically vulnerable archipelago of Indonesia, where we conduced initial usability tests in January 2013.
by Arlene Ducao.
S.M.
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Wei, Zijun S. M. Massachusetts Institute of Technology. "Development of an implantable sensor for continuous real-time long-term monitoring of soft tissue biomechanics." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/119090.
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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018.Cataloged from PDF version of thesis.
Includes bibliographical references (pages 85-91).
Measuring the mechanical properties of soft tissue can be an important method to detect pathology. Concerning the brain in particular, correlation between abnormal tissue stiffness and morbidity has been reported for Alzheimer's disease, Parkinson's disease and brain tumors, among others. On a more fundamental level, the nature and behavior of the brain from a mechanical standpoint is relatively understudied, in comparison to those from the chemical, electromagnetic and optical perspective. Current techniques fall into two main categories: one establishes direct contact to measure the deformation of tissue under various mechanical loads, the other solves the inverse problem based on the tissue displacement data collected through a number of imaging modalities. Both categories, however, have their limitations in providing ideal mechanical measurement of the brain, ranging from form factor compatibility, spatiotemporal resolution and accuracy. In this light, this work aims at developing an implantable measurement device that can bypass these limitations and provide in situ, in vivo, real-time, long-term monitoring of soft tissue biomechanics. The initial goal is to create a functional sensor front-end that can differentiate materials of different stiffness. As this project is to continue beyond the thesis, this thesis will present the current development progress, issues encountered and corresponding counter-measures, and discuss the prospective work in the future.
by Zijun Wei.
S.M.
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Cowton, Laurence Robert. "Monitoring sub-surface storage of carbon dioxide." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/270308.
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Since 1996, super-critical CO$_2$ has been injected at a rate of $\sim$0.85~Mt~yr$^{-1}$ into a pristine, saline aquifer at the Sleipner carbon capture and storage project. A suite of time-lapse, three-dimensional seismic reflection surveys have been acquired over the injection site. This suite includes a pre-injection survey acquired in 1994 and seven post-injection surveys acquired between 1999 and 2010. Nine consistently bright reflections within the reservoir, mapped on all post-injection surveys, are interpreted to be thin layers of CO$_2$ trapped beneath mudstone horizons. The areal extents of these CO$_2$ layers are observed to either increase or remain constant with time. However, volume flux of CO$_2$ into these layers has proven difficult to measure accurately. In addition, the complex planform of the shallowest layer, Layer 9, has proven challenging to explain using reservoir simulations. In this dissertation, the spatial distribution of CO$_2$ in Layer~9 is measured in three dimensions using a combination of seismic reflection amplitudes and changes in two-way travel time between time-lapse seismic reflection surveys. The CO$_2$ volume in this layer is shown to be growing at an increasing rate through time. To investigate CO$_2$ flow within Layer~9, a numerical gravity current model that accounts for topographic gradients is developed. This vertically-integrated model is computationally efficient, allowing it to be inverted to find reservoir properties that minimise differences between measured and modelled CO$_2$ distributions. The best-fitting reservoir permeability agrees with measured values from nearby wells. Rapid northward migration of CO$_2$ in Layer~9 is explained by a high permeability channel, inferred from spectral decomposition of the seismic reflection surveys. This numerical model is found to be capable of forecasting CO$_2$ flow by comparing models calibrated on early seismic reflection surveys to observed CO$_2$ distributions from later surveys. Numerical and analytical models are then used to assess the effect of the proximity of an impermeable base on the flow of a buoyant fluid, motivated by the variable thickness of the uppermost reservoir. Spatial gradients in the confinement of the reservoir are found to direct the flow of CO$_2$ when the current is of comparable thickness to the reservoir. Finally, CO$_2$ volume in the second shallowest layer, Layer~8, is measured using structural analysis and numerical modelling. CO$_2$ in Layer~8 is estimated to have reached the spill point of its structural trap by 2010. CO$_2$ flux into the upper two layers is now $\sim$40\% of total CO$_2$ flux injected at the base of the reservoir, and is increasing with time. This estimate is supported by observations of decreasing areal growth rate of the lower layers. The uppermost layers are therefore expected to contribute significantly to the total reservoir storage capacity in the future. CO$_2$ flow within Layer~9 beyond 2010 is forecast to be predominantly directed towards a topographic dome located $\sim$3~km north of the injection point. This dissertation shows that advances in determining the spatial distribution and flow of CO$_2$ in the sub-surface can be made by a combination of careful seismic interpretation and numerical flow modelling.
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Hodge, Camilla J. "The Relationship between Media in the Home and Family Functioning in Context of Leisure." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/3028.
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The purpose of the study was to examine the relationship between media as family leisure and family functioning among families with at least one adolescent child. Specifically, this study examined the relationship between family functioning and media use, media connection, and media monitoring over time. Furthermore, because the data were nested in families, and because most family leisure research has been limited to individual-level analyses, this study incorporated mixed modeling into its analysis which accounted for family-level and individual-level variance. The sample consisted of 500 families participating in the Flourishing Families (FFP) Project, a longitudinal study of inner-family life involving families with a child between the ages of 11 and 16. Multiple regression analysis indicated there was a significant negative relationship between media use and family functioning. Mixed model analysis further indicated there was a significant positive relationship between media connection, parental media monitoring, and family functioning, and this relationship was stable over time. These relationships were significant even when accounting for the variance explained by depression, anxiety, conflict, and other demographic variables. Findings support existing media effects and family leisure research. This research, however, goes beyond existing research in its mixed level analysis that accounted for family-level variance and in its analysis of time in the stability of the relationship between media variables and family functioning. Findings further suggest the importance in parental involvement in adolescent media use when explaining variance in family functioning.
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Baranski, Michael. "Energie-Monitoring im privaten Haushalt /." Göttingen : Cuvillier, 2006. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015621609&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Naprytė, Eglė. "Žiniasklaida kaip demokratijos palaikymo institucija: monitoringo instrumento „Media for Democracy Monitor“ taikymas Lietuvos atvejui." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080616_164250-26475.
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Moderni demokratija ir žiniasklaida yra iš esmės susijusios: kaip pastebi Jesper Strömbäck, jų santykį būtų galima apibūdinti kaip socialin�� sutartį. Žiniasklaidai reikalinga demokratinė santvarka, nes tai vienintelė valdymo forma, kuri gerbia žodžio, nuomonės (įsitikinimų), informacijos laisvę bei žiniasklaidos organizacijų nepriklausomybę nuo valstybės. Kita vertus, demokratijai taip pat reikalinga žiniasklaida, nes tai – pagrindinė priemonė, per kurią piliečiai ir jų išrinkti politiniais atstovai dalyvauja abipusiame informavimo ir įtakos darymo procese Žiniasklaida aprūpina piliečius informacija, padedančia jiems susiformuoti individualią nuomonę ir apsispręsti, už ką balsuoti; tuo tarpu valdžiai ji suteikia informacijos apie visuomenės nuomonę, kuri svarbi priimant politinius sprendimus.
Kaip pastebi kritikai, tikrasis žiniasklaidos indėlis į demokratijos palaikymą vargiai atitinka jai keliamus normatyvinius reikalavimus. Teoretikai įvardija nemažai struktūrinių žiniasklaidos pokyčių, turinčių įtakos jos veiklai. Tai komercializacija, koncentracija, globalizacija, reguliacijos silpnėjimas. Agner Fog taip pat pabrėžia komercinę įtaką (kai reklamos užsakovai ir savininkai daro įtaką redakciniams sprendimams) ir turinio banalėjimą.
Taigi, atsižvelgiant į visus pokyčius, kurie paveikė ir toliau daro įtaką žiniasklaidai, svarbu analizuoti, kaip žiniasklaida iš tiesų tarnauja demokratijos poreikiams dabartinėje aplinkoje, ir kuriose srityse ji šių poreikių neišpildo. Vienas... [toliau žr. visą tekstą]Modern democracies and the media are intrinsically related. As Jesper Strömbäck notes, their relationship could be described as a social agreement. Media need democracy as it is the only political system which respects freedom of speech, of opinion, of information and the independency of media organizations form the state control. On the other hand, democracy also needs the media as it is the basic means for citizens and their elected representatives to participate in the mutual process of informing and influence making. The media give citizens information which helps them to form individual opinion and to decide whom to vote for during the election time. As for the government, the media give it information about public opinion which is important for making political decisions. As scholars observe, the real contribution of contemporary media to the support of democracy barely fit into the requirements described in theory. Many structural changes, such as commercialization, concentration, globalization and weekness of regulation have effect on the media performance. The internal and external pressures towards media organizations also have severe effects. Considering all the changes that are happening in the media sector nowadays, it is therefore important to analyze how much the media serve for the needs of contemporary democracy and where it fails to meet these expectations. One of the newest attempts in this field is the project “Media for Democracy Monitor”. This... [to full text]
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Bowers, Gary David. "Applications of mass spectrometric techniques to the monitoring of drugs and their metabolic conjugates in biological media." Thesis, King's College London (University of London), 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363143.
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Wicaksono, Irmandy. "Flexible-stretchable woven electronic textile system : a tailored multi-modal bodysuit for spatiotemporal physiological and physical activity monitoring." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123641.
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Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2019Cataloged from PDF version of thesis.
Includes bibliographical references (pages 92-98).
The rapid advance of electronic devices and fabrication technologies have further promoted the field of wearables and smart textiles. Several challenges remain, as most of the current efforts in textile electronics focus on 'niche' applications and lack of sensing modalities, as well as large-scale coverage. We introduce a new platform of flexible-stretchable distributed sensor networks that can be embedded into a digitally-knit textile. It can be customized for various forms and functions using standard, accessible, and low-cost manufacturing approach. Rigorous experimental and theoretical investigations of each sensor modality, the robustness of sensor-interconnects system, washability, breathability, and sensor-to-skin contact pressure define the critical features of this novel electronic textile platform. The realization of a tailored, intelligent bodysuit that simultaneously and wirelessly monitors multi-nodal temperature, heart rate, and respiration, as well as physical activity demonstrates its vision for multi-functional, seamless health and activity monitoring, with potential implications in clinical medicine, healthcare, rehabilitation, and sports science.
by Irmandy Wicaksono.
S.M.
S.M. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences
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Švejnohová, Tereza. "Monitorování sociálních médií." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-197865.
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The objective of the thesis is to provide a recommendation of the optimal procedure for the effective use and monitoring of social media based on measuring the performance of social media profiles, as well as a recommendation for the effective management of presence on social networks. The objectives of the thesis are to be achieved by the methods of observation, comparison and case study. The theoretical part includes a general interpretation of the concept of social media and the types of products for their management and monitoring. The practical section deals with case studies and social media measurement in practice.
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Freifeld, Clark C. "Digital Pharmacovigilance: the medwatcher system for monitoring adverse events through automated processing of internet social media and crowdsourcing." Thesis, Boston University, 2014. https://hdl.handle.net/2144/10995.
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Thesis (Ph.D.)--Boston UniversityHalf of Americans take a prescription drug, medical devices are in broad use, and population coverage for many vaccines is over 90%. Nearly all medical products carry risk of adverse events (AEs), sometimes severe. However, pre- approval trials use small populations and exclude participants by specific criteria, making them insufficient to determine the risks of a product as used in the population. Existing post-marketing reporting systems are critical, but suffer from underreporting. Meanwhile, recent years have seen an explosion in adoption of Internet services and smartphones. MedWatcher is a new system that harnesses emerging technologies for pharmacovigilance in the general population. MedWatcher consists of two components, a text-processing module, MedWatcher Social, and a crowdsourcing module, MedWatcher Personal. With the natural language processing component, we acquire public data from the Internet, apply classification algorithms, and extract AE signals. With the crowdsourcing application, we provide software allowing consumers to submit AE reports directly. Our MedWatcher Social algorithm for identifying symptoms performs with 77% precision and 88% recall on a sample of Twitter posts. Our machine learning algorithm for identifying AE-related posts performs with 68% precision and 89% recall on a labeled Twitter corpus. For zolpidem tartrate, certolizumab pegol, and dimethyl fumarate, we compared AE profiles from Twitter with reports from the FDA spontaneous reporting system. We find some concordance (Spearman's rho= 0.85, 0.77, 0.82, respectively, for symptoms at MedDRA System Organ Class level). Where the sources differ, milder effects are overrepresented in Twitter. We also compared post-marketing profiles with trial results and found little concordance. MedWatcher Personal saw substantial user adoption, receiving 550 AE reports in a one-year period, including over 400 for one device, Essure. We categorized 400 Essure reports by symptom, compared them to 129 reports from the FDA spontaneous reporting system, and found high concordance (rho = 0.65) using MedDRA Preferred Term granularity. We also compared Essure Twitter posts with MedWatcher and FDA reports, and found rho= 0.25 and 0.31 respectively. MedWatcher represents a novel pharmacoepidemiology surveillance informatics system; our analysis is the first to compare AEs across social media, direct reporting, FDA spontaneous reports, and pre-approval trials.
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Bank, Mathias [Verfasser], Gerhard [Akademischer Betreuer] Heyer, Gerhard [Gutachter] Heyer, and Alexander [Gutachter] Mehler. "AIM - A Social Media Monitoring System for Quality Engineering / Mathias Bank ; Gutachter: Gerhard Heyer, Alexander Mehler ; Betreuer: Gerhard Heyer." Leipzig : Universitätsbibliothek Leipzig, 2013. http://d-nb.info/123836750X/34.
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Kuchen, Ernesto. "Spot-Monitoring zum thermischen Komfort in Bürogebäuden /." Tönning ; Lübeck ; Marburg : Der Andere Verl, 2008. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016738639&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Johansson, Lotta, and Maria Svenningsson. "Evigt offer eller alltid gärningsman? : Framställning av invandraren i den nätbaserade dagspressen." Thesis, Linnéuniversitetet, Institutionen för samhällsvetenskaper, SV, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-10472.
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The purpose of this study is to examine how immigrants are portrayed in the Swedish daily newspapers online reporting. The essay investigates in what context immigrants, as individuals, are made visible and how they and their origins are reproduced. The study focuses on the roles victim and aggressor, and is also investigating potential differences between morning and evening newspapers. Present theories are discursive discrimination, critical discourse analysis, cultural racism, stereotypes and structural discrimination. Adopted methods are qualitative and quantitative content analysis, based on the Global Media Monitoring Project-tool. The results show that immigrants are not individually stereotyped or depicted negatively, but that their immigrant origins often have a central part of the story, that they are mentioned mainly in connection with negative news and that negatively charged words occur frequently.
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Enlund, Anders. "How do bass enhancement algorithms impact mixing decisions when monitoring on headphones?" Thesis, Luleå tekniska universitet, Medier, ljudteknik och teater, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71449.
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As music production moves from the big professional studios into small bedroom studios, Headphones become more commonly used for monitoring. This brings a new set of problems based on the limitations of headphones compared to loudspeakers. This research explores how a bass enhancement algorithm impacts the results when mixing low frequency audio on headphones. This is done through a simple mixing experiment where subjects are tasked with balancing the amplitude of a low frequency element in a song, both with and without a bass enhancement algorithm enhancing the headphone monitoring. It is shown that while subjects do not perceive a difference in difficulty with this task, the results differ as subjects overall mix the bass frequencies lower in amplitude when aided by the bass enhancement algorithm. It is concluded that the bass enhancement algorithm is useful in this manner.
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Noske-Turner, Jessica. "Navigating theory, negotiating difference and beating the system : a critical how-to of media assistance evaluation." Thesis, Queensland University of Technology, 2014.
Find full textAbstract:
The wave of democratisation across Europe, Africa, Asia and Latin America in the early 1990s triggered an increase in donor funding to media assistance initiatives, primarily within good governance policy frameworks. However, few media assistance projects have managed to effectively evaluate the impacts of their work. This thesis explores how the impacts of Australian media assistance on social change and governance can be most effectively evaluated and understood. The findings of this research suggest the importance of early investment in participatory planning of evaluation designs, which are then periodically revisited. These evaluation designs should be based on a theoretically sound link between models of change, evaluative questions and methods.
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Collier, Kevin Matthew. "Does Parental Mediation of Media Influence Child Outcomes? A Meta-Analysis on Media Time, Content, Aggression, Substance Use, Sexual Behavior, and Health Outcomes." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5831.
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As the world evolves into a media saturated environment, the focus of many studies have been the negative effects of media on children and adolescents. For at least the past two decades, researchers have explored how parental involvement in their child's media consumption can influence child outcomes. Parental mediation of media includes restrictive mediation, active mediation, and co-viewing. Three meta-analyses, one for each type of mediation, reviewed a total of 69 studies. Each analysis assessed the effectiveness of parental mediation of media on five pertinent child outcomes: media use, aggression, substance use, sexual behavior, and negative health outcomes. The overall results indicated small, but significant relationships between child outcomes and restrictive mediation (r+ = .07), active mediation (r+ = .01), and co-viewing (r+ = .09). Effects on certain child outcomes were stronger than others. Parents have the ability to mitigate some of the adverse effects through parental mediation of media by creating rules for media use: discussing character's choices and central themes and consuming media together. Finally, several gaps in the existing literature were identified and discussed.
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Winkler, Stefan. "Monitoring kritischer Prozess- und Projektaktivitäten mithilfe persönlicher Assistenten /." Lohmar : Eul, 2010. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=018877840&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Schneider, Kerstin. "Electronic monitoring : alternativer Strafvollzug oder Alternative zum Strafvollzug? /." Baden-Baden : Nomos, 2003. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=010416529&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Soleman, Ramzi. "La théorie des ressources et l'évaluation du système d'information : le cas des outils de surveillance des médias sociaux (Social Media Monitoring)." Thesis, Paris 10, 2018. http://www.theses.fr/2018PA100018.
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Récemment les données issues de médias sociaux, dites les Big Social Data (BSD) retiennent de plus en plus l’attention des chercheurs et des professionnels, notamment après l’apparition des outils de surveillance des médias sociaux (Social Media Monitoring – SMM), permettant de traiter ces BSD. Les promesses associées au SMM concernent l’amélioration des processus de prise de décision, voire la transformation de processus métiers des entreprises. Malgré des investissements de plus en plus importants, l’usage efficace de ces outils dans les entreprises est très variable. Dans cette recherche, nous souhaiterions comprendre comment et pour quelles finalités le outils SMM sont utilisés ?. Pour l’évaluation de ces outils, nous nous appuyons sur la théorie des ressources. Afin de mettre œuvre de cette recherche, nous avons eu recours à une approche par méthodes mixtes. Cette approche consiste en étude qualitative qui a servi au développement et à l’enrichissement d’une seconde étude quantitative. Les résultats obtenus montrent que la combinaison de ressources SMM (qualité d’outil, ressources humaines…) et de ressources complémentaires permet de constituer des capacités SMM (mesure, interactive, utilisation processus) conduisant à la performance du SMM. Le soutien de l’organisation et, plus spécifiquement le rôle des managers, dans l’activation des ressources et des capacités SMM est conforme au récent approfondissement du management des ressources. En revanche, nous avons détecté que des ambiguïtés demeurent concernant le RBT. Pour cela, nous proposerons de lever ces ambigüités en ayant recours à la théorie étendue des ressources. Finalement, nous présentons les apports, les limites et les perspectives de notre rechercheRecently, social media data, called Big Social Data (BSD), attract more and more attention from researchers and professionals, particularly after the emergence of Social Media Monitoring (SMM) tools, used to process BSD. The promises associated with the SMM concern the improvement of decision-making processes, or even the transformation of business processes. Despite increasing investments, the effective use of these tools in companies is very variable. In this research, we would like to understand how and for what purposes the SMM tools are used?. For the evaluation of these tools, we build upon the Resource-Based Theory (RBT). In order to implement this research, we used a mixed method approach. This approach consists of a qualitative study that was used to develop and enrich a second quantitative study. The obtained results show that the combination of SMM resources (quality of SMM tool, human resources…) and complementary resources makes it possible to build SMM capabilities (measurement, process, interaction…) leading to performance. Moreover, the support of the organization, and more specifically the role of managers, in the activation of SMM resources and capabilities is consistent with the recent advancements of resource management. However, we detected some ambiguities concerning the RBT. To deal with these ambiguities, we propose to resort to the extended theory of resource. Finally, we present the contributions, the limits and the perspectives of our research
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Menzel, Thomas. "Social Media im Gesundheitswesen - Chancen und Risiken für Krankenhäuser und Praxen." Master's thesis, Dresden International University, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-179348.
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Social Media ist Kommunikation, ein weiterer Evolutionssprung in den zwischenmenschlichen Beziehungen. Die damit verbundenen Tools, wie Facebook, Twitter, YouTube, XING, Blogs, Wiki, und Co, sind nur Werkzeuge, die, wenn man sie strategisch und professionell nutzt, erheblich den aktuellen und vor allem den zukünftigen unternehmerischen Erfolg ausmachen werden.
Social Media verändert das Verhalten der Bürger und ist ein Element des sich gegenwärtig vollziehenden Kulturwandels. Das Gesundheitswesen insgesamt steht noch am Anfang der Nutzung von Social Media.
Die vom Autor durchgeführten Befragungen, Analysen und Wertungen haben diese Einschätzung bestätigt. Erfolgreiche Beispiele der Anwendung von Social Media in Krankenhäusern und Arztpraxen dürfen nicht darüber hinweg täuschen, dass von der Mehrheit der medizinischen Einrichtungen, die Möglichkeiten der Nutzung von sozialen Netzwerken für die externe und interne Kommunikation und damit für die Erhöhung des unternehmerischen Erfolges nicht ausreichend erkannt werden.
Aktives Zugehen auf die Zielgruppen, permanente Nutzung der Tools und des Feedbacks für die Erhöhung des Bekanntheitsgrades der Einrichtung, die Integration der Mitarbeiter und Dienstleister führen zu einer Verbesserung der Patientenzufriedenheit. Sie sind der Schlüssel nicht nur für mehr, sondern auch für qualitativ hochwertigeren Umsatz.
Social Media führte zu einem Wertewandel in der Arbeitskultur auch der medizinischen Einrichtungen. Von Beginn an bei der Arbeit mit sozialen Netzwerken müssen alle Mitarbeiter in den Prozess integriert werden. Ihr Wissen über moderne Medien sollte gezielt und mit Übertragung von Verantwortung eingesetzt werden. Social Media muss zu einem integrierten Arbeitsmittel im Unternehmen werden, denn es lebt von der Einheit externer und interner Kommunikation und trägt entscheidend zur Mitarbeiterzufriedenheit bei.
Die Aktivitäten zur Nutzung von Social Media werden erfolgreich, wenn für alle Arbeiten genügend Zeit und die erforderlichen Ressourcen für die ersten Schritte und für das notwendige permanente Controlling bereitgestellt werden. Der Erfolg von Social Media ist nicht zuletzt davon abhängig, welches Wissen in den medizinischen Einrichtungen vorhanden ist.
Die oft zitierten Risiken beim Einsatz sozialer Netzwerke reduzieren sich im Wesentlichen auf ein nicht professionell geführtes Herangehen. Datenrechtliche- und Sicherheitsrisiken sind mit entsprechendem Wissen und einer klaren Positionierung was, wie, durch wen und wo publiziert wird beherrschbar. Der Erfolg ist nur dann erreichbar, wenn mit exakten Zielvorgaben, machbaren Schritten, klaren Verantwortungen und professionellem Controlling herangegangen wird.
Die Arbeit gibt Anregungen für die Anwendung von Social Media in der Praxis, wie und mit welchen Methoden an den künftigen Einsatz der sozialen Netzwerke herangegangen werden kann, welche rechtlichen Fragen zu beachten sind und das ein effektives Monitoring unbedingt installiert werden muss. Social Media ist eine strategische Aufgabe und sollte in jedem Unternehmen so angesehen und eingeordnet werden. Ein brauchbares Mittel für die weitere Arbeit sieht der Autor in den erarbeiteten Leitfäden für Entscheider.
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Comandini, Chiara. "Social Media Marketing: Integrazione dei social network nella strategia aziendale." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15194/.
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La rivoluzione tecnologica che caratterizza l'era digitale si sta rivelando un fenomeno di massa che ha profondamente modificato il modo di agire e di pensare delle persone. La globalizzazione, l’evoluzione delle tecnologie e la digitalizzazione degli accessi alle informazioni sono i principali fattori che hanno determinato profondi cambiamenti sui mercati, sulle imprese e sui consumatori. Il Web è diventato un elemento fondamentale della quotidianità delle persone, ed è in grado di raggiungere gli individui in qualsiasi luogo o in qualsiasi momento. Nel contesto economico, le tecnologie informatiche coinvolgono le relazioni tra le imprese e il consumatore, e le singole componenti del marketing mix. Dal punto di vista sociale, permettono a milioni di persone di scambiarsi informazioni, di costruire una rete relazionale e comunicativa priva di barriere geografiche, di creare contenuti diversificati in qualsiasi parte del mondo. Queste potenzialità hanno costretto imprese e individui a prendere coscienza di un cambiamento radicale nel paradigma del marketing. La figura del consumatore assume un ruolo centrale e un’importanza molto diversa rispetto all’entità passiva tipica del marketing tradizionale: gli “utenti 2.0” utilizzano i numerosi strumenti digitali a loro disposizione per partecipare attivamente alle community che si sono create sulla Rete, condividendo opinioni e ricercando informazioni sui prodotti e servizi. Le imprese hanno la possibilità di sfruttare questa fonte di conoscenza gratuita e largamente disponibile per meglio comprendere le esigenze e i reali bisogni del target di riferimento, adattando di conseguenza l'offerta. I social network sono le piattaforme su cui avviene la maggior parte degli scambi relazionali tra gli utenti, e le imprese che intendono competere in un mercato globale orientando la propria comunicazione sul Web devono integrare questi new media nella propria strategia, distribuendo contenuti creativi e monitorando l'attività online.
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Meiss, Andreas. "Das Monitoring okklusaler Kariesläsionen mit Hilfe des DIAGNOdent-Gerätes /." Aachen : Shaker, 2007. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016481755&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Schmitz, Christoph. "Molekulares Monitoring und Konkurrenzverhalten von n-Alkan-verwertenden Mikroorganismen /." Aachen : Shaker, 2000. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009007453&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Clark, Eric Michael. "Applications In Sentiment Analysis And Machine Learning For Identifying Public Health Variables Across Social Media." ScholarWorks @ UVM, 2019. https://scholarworks.uvm.edu/graddis/1006.
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Twitter, a popular social media outlet, has evolved into a vast source of linguistic data, rich with opinion, sentiment, and discussion. We mined data from several public Twitter endpoints to identify content relevant to healthcare providers and public health regulatory professionals. We began by compiling content related to electronic nicotine delivery systems (or e-cigarettes) as these had become popular alternatives to tobacco products. There was an apparent need to remove high frequency tweeting entities, called bots, that would spam messages, advertisements, and fabricate testimonials. Algorithms were constructed using natural language processing and machine learning to sift human responses from automated accounts with high degrees of accuracy. We found the average hyperlink per tweet, the average character dissimilarity between each individual's content, as well as the rate of introduction of unique words were valuable attributes in identifying automated accounts. We performed a 10-fold Cross Validation and measured performance of each set of tweet features, at various bin sizes, the best of which performed with 97% accuracy. These methods were used to isolate automated content related to the advertising of electronic cigarettes. A rich taxonomy of automated entities, including robots, cyborgs, and spammers, each with different measurable linguistic features were categorized.
Electronic cigarette related posts were classified as automated or organic and content was investigated with a hedonometric sentiment analysis. The overwhelming majority (≈ 80%) were automated, many of which were commercial in nature. Others used false testimonials that were sent directly to individuals as a personalized form of targeted marketing. Many tweets advertised nicotine vaporizer fluid (or e-liquid) in various “kid-friendly” flavors including 'Fudge Brownie', 'Hot Chocolate', 'Circus Cotton Candy' along with every imaginable flavor of fruit, which were long ago banned for traditional tobacco products. Others offered free trials, as well as incentives to retweet and spread the post among their own network. Free prize giveaways were also hosted whose raffle tickets were issued for sharing their tweet. Due to the large youth presence on the public social media platform, this was evidence that the marketing of electronic cigarettes needed considerable regulation. Twitter has since officially banned all electronic cigarette advertising on their platform.
Social media has the capacity to afford the healthcare industry with valuable feedback from patients who reveal and express their medical decision-making process, as well as self-reported quality of life indicators both during and post treatment. We have studied several active cancer patient populations, discussing their experiences with the disease as well as survivor-ship. We experimented with a Convolutional Neural Network (CNN) as well as logistic regression to classify tweets as patient related. This led to a sample of 845 breast cancer survivor accounts to study, over 16 months. We found positive sentiments regarding patient treatment, raising support, and spreading awareness. A large portion of negative sentiments were shared regarding political legislation that could result in loss of coverage of their healthcare. We refer to these online public testimonies as “Invisible Patient Reported Outcomes” (iPROs), because they carry relevant indicators, yet are difficult to capture by conventional means of self-reporting. Our methods can be readily applied interdisciplinary to obtain insights into a particular group of public opinions. Capturing iPROs and public sentiments from online communication can help inform healthcare professionals and regulators, leading to more connected and personalized treatment regimens. Social listening can provide valuable insights into public health surveillance strategies.