Database access in Telugu

Reich bebilderte Festschrift zur Einweihung des Erweiterungsbaus der Universitätsbibliothek Potsdam am Neuen Palais am 23. Oktober 2006 <p>

Informations-, Kommunikations- und Medienzentrum der Universität Potsdam

Although the offering of financial products and services over the Internet by banks and financial institutions continues to spread, reports on Internet banking show that the adoption and usage of such services by consumers are low. Further, relatively little empirical research has been carried out to examine factors influencing users' adoption or use of Internet banking services, particularly in New Zealand. Hence, there is a need to identify relevant factors that influence New Zealand's bank customers' intentions to use Internet banking. This research used two commonly applied and empirically supported models of information technology adoption to achieve this objective. In this study, Davis's (1989) technology acceptance model (TAM) is extended by two external variables, namely risk and self-efficacy. The second model used is a reduced version of Moore and Benbasat's (1991) perceived characteristics of innovation (PCI) model, without the image and voluntariness constructs. A questionnaire was used to conducting a postal survey of 1000 individuals in Auckland, New Zealand. Out of 163 responses received 157(15.7%) were usable and with this data both research models were tested.The results reveal that perceived usefulness, perceived ease of use, self-efficacy, relative advantage, compatibility, and result demonstrability have a significant association with intention to use Internet banking, while risk, visibility and trialability are not significant. Both the modified TAM and PCI models used in the study have a similar explanatory power of slightly over 20% of the variance in intention. In the TAM model, perceived usefulness and self-efficacy are significant variables, while compatibility is the only variable significant for the PCI model. Further, results indicate that users' perceptions of various aspects of Internet banking are more positive than non-users' perceptions, except for risk.The results of this study indicate that both TAM and PCI have low capabilities in explaining the variances in users' intention to adopt or use Internet banking services. Therefore, further studies are recommended to examine the performance of these models in Internet banking studies and also to improve the prediction power of these models by incorporating additional constructs. Although risk is found to be insignificant in this study, considering results of prior studies, further studies are required to examine its influence on intention.For banks point of view, banks should consider launching campaigns to demonstrate the usefulness and benefits. Once users perceive that advantages outweigh disadvantages, they are more likely to adopt or use Internet banking. Additionally, banks must make continuous effort to understand consumers' requirement and design and deliver their products and services in such a way that it is consistent with customers' requirements, beliefs and the way customers are accustomed to work. Banks website should facilitate customers with a 'one stop comprehensive financial' service. Banks can arrange hands-on training for prospective users to enhance their self-efficacy or may pay additional interest on online-deposit accounts (can be access through Internet only). Besides promoting services, banks need to invest in staff education and training and be equipped with advanced computer technology.

<p>Previous research on firmography microsimulation model for the City of Hamilton, Ontario, has been conducted by estimating several crucial statistical models, which would serve as the basis for an operational computer simulation model.</p> <p>Based on the previous research, this thesis illustrates the implementation of the firmography microsimulation model for the City of Hamilton. This implementation includes the development of separate computer modules for the survival submodel, the mobility submodel, the location choice submodel and the firm formation submodel, as well as the integration of all these submodels. Meanwhile, the data storage mechanism, the simulation results visualization and analysis functions have been implemented by the support of GIS technology.</p> <p>The microsimulation model starts with the 1990 firm micro data for the City of Hamilton as the base year and proceeds year by year with the simulation. The simulation results of firm distribution are validated by 1997 firm micro data for the City of Hamilton. The validation has proved that the developed firmography model is able to capture the overall trend of urban development processes in terms of firms at the micro level.</p> <p>The limitations of the current model, especially those caused by the requirement for detailed data, are discussed, and some directions for the future research are indicated.</p> / Master of Arts (MA)

Denna uppsats undersöker sårbarheter relaterade till ett av de äldsta och mest säkra krypteringssystemen som existerar idag; RSA. Med hjälp av primärt kvalitativa litteraturstudier förklaras RSA-algoritmen, i vilka sammanhang RSA implementeras, några av de mest kända attackerna samt vilka framtida utmaningar systemet står inför. Många av attackerna har förklarats förut men syftet med denna studie är att bidra med mer lättförståeliga exempel på ett och samma ställe. De framtida hot som undersöks är relaterade till utvecklingen av kvantdatorer och dess potentiella förmåga att knäcka RSA. I och med att framtiden inte går att förutse baseras resultatet på uppskattningar. En sammanställning av vad olika publikationer anser om kvantdatorers hot mot RSA samt vid vilken tidpunkt de i sådant fall kan skadliggöra RSA är genomförd och presenteras i denna uppsats.

Behovet av att lagra stora mängder data för applikationer växer mer och mer. I samband med detta ökar även utvecklingen av olika sorters databaser, speciellt så kallade ”NoSQL”-databaser. Det kan vara svårt att navigera i denna uppsjö av databaslösningar för att hitta den databaslösning som passar bäst för ett specifikt projekt. Denna rapport försöker utreda vilken av databaserna OrientDB, ArangoDB samt HypergraphDB som passar bäst för ett specifikt användningsfall där data ska sparas för att representera en byggnadsstruktur. Kriterierna för undersökningen är hur organisationen bakom databasen ser ut, hur deras datamodeller ser ut, vilka prismodeller de erbjuder samt en empirisk undersökning av databasernas prestanda för det specifika användningsfallet. Denna undersökning är inte designad för att vara en generell jämförelse utan görs på uppdrag av ett företag för att se vilken databas som skulle passa deras specifika projekt bäst. Utredningen visar att det är en komplex uppgift att utföra rättvisa prestandajämförelser för olika ”NoSQL”-databaser men baserat på kriterierna i denna rapport skulle OrientDB passa bäst för det specifika användningsfallet. / The need to store large quantities of data is increasing more and more. In correlation to this the development of various kinds of databases, especially so-called ”NoSQL”-databases, is also increasing. It can be difficult to navigate in this plethora of database solutions to find the the database that best suits a specific project. This report attempts to investigate which of the databases OrientDB, ArangoDB and HypergraphDB is best suited for a specific use case where data is to be saved to represent a building structure. The criteria for the investigation are how the organization behind the database looks, how their datamodels looks, which price models they offer as well as an emperical study of the databases’ performance in the specific use case. This survey is not designed to be a general comparison, but is commissioned by a company to see which database would suit their specific project best. The investigation shows that it’s a complex task to do fair comparisons on performance between NoSQL databases but based on the criteria in this report OrientDB would be best suited for the specific use case.

In this thesis a subject mapping data mining method has been developed. The method maps the 8 political parties in the Swedish parliament to 25 subjects based on their participation in the subjects on Twitter. The method is based on tweets written by the commissioners in the Swedish parliament and the ministers in the Swedish government between 2018-04-01 and 2019-04-01. The method shows what subjects each party participate in on Twitter and how the participation changes over time. Further, it shows the similarity and dynamics between the parties according to their subject participation. The purpose of the method is to offer a quantitative analysis tool, useful to social scientist, that provides new information about political parties.It can not be concluded how the resulting findings from the method should be interpreted. However, I present three questions to investigate in future work. The questions regard correlation between the subject map and party cooperation, political spectra and public statements.The result indicate that there is a significance issue, due to low participation in certain subjects by specific parties. This issue can be resolved by decreasing the number of subjects or expand the data set on which the subject mapping is based.

Sentiment analysis is a field within the area of natural language processing that studies the sentiment of human written text. Within sentiment analysis, sentiment classification is a research area that has been of growing interest since the advent of digital social-media platforms, concerned with the classification of the subjective information in text data. Many studies have been conducted on sentiment classification, producing numerous of openly available tools and resources that further advance research, though almost exclusively for the English language. There are very few openly available Swedish resources that aid research, and sentiment classification research in non-English languages most often use English resources one way or another. The lack of non-English resources impedes research in other languages and there is very little research on sentiment classification using Swedish resources. This thesis addresses the lack of knowledge in this area by designing and implementing a sentiment classifier using Swedish resources, in order to evaluate how methods and best practices commonly used in English research transfer to Swedish. The results in this thesis indicate that Swedish resources can be used in the construction of internationally competitive sentiment classifiers and that methods commonly used in English research for pre- processing text data may not be optimal for the Swedish language.

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