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Browsing Student Essays / Computer Science, Master Programme by Title
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Browsing Student Essays / Computer Science, Master Programme by Title
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A Proposal of a Mobile Health Data Collection and Reporting System fo... 
Shao, Deo; SHAO, DEO : Malmö högskola/Teknik och samhälle (2012) 1-year master
STUDENT ESSAY
English abstract: Data collection is one of the important components of public health systems. Decision makers, policy makers and health service providers need accurate and timely data in order to improve the quality of their services. The rapidly growing use of mobile technologies has increased pressure on the demand for mobile-based data collection solutions to bridge the information gaps in the health sector of the developing world. This study reviews existing health data collection systems and the available open source tools that can be used to improve these systems. We further propose a prototype using open source data collection frameworks to test their feasibility in improving the health data collection in the developing world context. We focused on the statistical health data, which are reported to secondary health facilities from primary health facilities. The proposed prototype offers ways of collecting health data through mobile phones and visualizes the collected data in a web application. Finally, we conducted a qualitative study to assess challenges in remote health data collection and evaluate usability and functionality of the proposed prototype. The evaluation of the prototype seems to show the feasibility of mobile technologies, particularly open source technologies, in improving the health data collection and reporting systems for the developing world. 
Deo_Shao_Thesis.pdf
(1.741Mb)
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Evaluation of different Cloud Environments and Services related to la...
Ravichandran, Pravin Karthick; Balmuri, Santhosh Keerthi : Malmö högskola/Teknik och samhälle (2011) 1-year master
STUDENT ESSAY
English abstract: Cloud Computing (CC) is one of the fast growing computer network technologies and many companies offer their services through cloud network. Cloud Computing has many properties with respect to the existing traditional service provisions like scalability, availability, fault tolerance, capability and so on which are supported by many IT companies like Google, Amazon, Salesforce.com. These IT companies have more chances to adapt their services into a new environment, known as Cloud computing systems. There are many cloud computing services which are being provided by many IT companies. The purpose of this thesis is to investigate which cloud environment (public, private and hybrid) and services (Infrastructure as a Service, Software as a Service, and Platform as a Service) are suitable for Swedish Armed Forces (SWAF) with respect to performance, security, cost, flexibility and functionality. SWAF is using private (internal) cloud for communications where both sensitive and non-sensitive information are located in the internal cloud. There are problems like maintenance of hardware, cost issues and secure communication while maintaining the private cloud. In order to overcome those problems we have suggested a hybrid and community cloud environment and SaaS, IaaS, PaaS services for SWAF. For suggesting these cloud environments and cloud services we have performed a literature study and two empirical studies (survey and interviews) with different organizations. A new cloud model is designed based on the suggested cloud environment, separate storage spaces for sensitive and non-sensitive information, suitable services and an effective infrastructure for sharing the internal information for SWAF. -
Expert finding systems and Ontologies in a university setting
Kafafi, Ghassan; Hammou, Tarek : Malmö högskola/Kultur och samhälle (2012) 1-year master
STUDENT ESSAY
English abstract: Expert finding systems (EFS) help organizations store and retrieve information about their experts who have the capability to perform specific tasks. However, the search process for the expertise information in many organizations sometimes gives inaccurate or outdated results, and the reason for that is mainly because of the static structure in which this information is stored, mostly in the form of databases. This static process of information storing and retrieving often requires constant human intervention to update the expertise information. Malmö University is one organization that uses a static database structure to store its expert information.By utilizing the inference power of ontologies, which considers the structure of classes and their relations, rather than joining several tables as in keyword searching, we can make the search for expert information a dynamic process rather than a static one, and thus, we can reduce the amount of human intervention and errors. Utilizing expert finding systems can also determine the level of expertise available in the organization. A good example of such organization is Malmö University, where EFS can help in identifying the shortages of expertise in a specific field of study. Therefore, we have made a case study about the expert finding system at Malmö University, where we have made interviews and discussed the expert finding search process. Then we explored the role of ontologies and how the Semantic Web (SW) technologies can be utilized to search for meaning, rather than keywords, to improve the quality of the query results for expert finding, and thus minimizing unwanted search results. Furthermore, we study the several types of commonly used ontology design patterns (ODPs), which are predefined models to solve recurrent problems in designing ontologies, and then we suggest a suitable ODP to be used in designing an expert finding ontology (EFO) in a university setting. Then we select the content ontology design pattern, and we used it to design an EFO suitable for a university. -
Linked data for improving student experience in searching e-learning ...
CastellanosArdila, Julieth Patricia : Malmö högskola/Teknik och samhälle (2012) 1-year master
STUDENT ESSAY
English abstract: The collection and the use of data on the internet with e-learning purposes are tasks made by many people every day, because of their role as teachers or students. The web provides several data sources with relevant information that could be used in educational environments, but the information is widely distributed, or poorly structured. Also, resources on the web are diverse, sometimes with high quality, but sometimes not. These situations involve a difficult search of e-learning resources, and therefore a lot of time invested, because the search process – typing, reasoning, selecting, using resources, bookmarking, and so forth - is completely executed by humans, despite that some of them can be executed by computers. Linked data provides designed practices for organizing, and for discovering information using the processing power of computers. At the same time, the community of linked data provides data sets that are already connected, and this information could be consumed by people anytime as resources with e-learning purposes The current article presents the findings of a master thesis that address the linked data techniques and also the techniques used by students when searching e-learning resources, using internet. The resources used by the students, as well as the sources preferred, will be comparing with the current resources offered by the linked data community. Likewise, the strategies and techniques selected by the students will be taken into account, in order to establish the basic requirements of an e-learning collaborative environment prototype. The outline of the thesis is: Chapter 2 discusses the research methodology as well as the constructing and administering the research survey in which the current thesis based the requirements elicitation. Chapter 3 lays the groundwork for the rest of the thesis by presenting the principles and terminology of linked data, as well as related work about the internet in education, availability of e-learning resources, and surveys about the use of the internet in e-learning resources searching Chapter 4 presents the investigation of the methods used by student for exploring and discovering e-learning resources through the data analysis and interpretation of the survey. Chapter 5 Introduces to the prototype design. It includes the prototype idea, the requirements specification using the data analysis of the survey, and the architecture of the e-learning collaborative environment using the assumptions reached in the literature review and the dereferencable URIs found in the linked open data cloud diagram. The design of components in the environment will be addressed in terms of UML diagrams. Chapter 6 Validates the requirements of the prototype. Chapter 7 Tackles conclusions of the master thesis project in order to find incomes for further research in the area. This chapter also shows the contributions e-learning world evaluation is based on the benefits indentified by using this approach and gives indications of what future work can be done to improve the results. The findings address the decision-making process for designing a new era of e-learning environments that enhance the selection of e-learning resources, taking into account the technology available, and the information around the World Wide Web.
Tesis Febrero 7.pdf
(3.366Mb)
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