Design and development of a prototype mobile geographic information system for real-time collection and storage of traffic accident data

Today, Swedish police authorities nationwide collect data of traffic accidents. The information is stored in a national database managed by the Swedish Transport Agency and is an important resource in the process of analysing and improving road safety. Literature studies in this thesis, together with earlier work by the author have suggested that the data collection process is in need of an update: a digital tool for such data collection is necessary. Problems with varying quality of data and long submission times of reports have been attributed to the current method, which involves a paper form. A digital method including a handheld device is expected to improve data quality and shorten overall submission times. The aim of the thesis has thus been to design and develop a mobile GIS system for collection and management of traffic accident information for police authorities. The project has utilized mainly open source tools. The result is a system containing an Android application for data collection, a database server with a database for storage, an application server/web server to host a software server (map server), and a web server that handles requests and hosts a web service for viewing and retrieving data. The created system can collect all of the information that the currently used analogue method does as well as new media such as GPS coordinates, photographs and audio. The functionality of the web service demonstrates that data is collected and stored in suitable formats in a database schema that is flexible enough to facilitate a wide range of queries relevant to the field of road safety.The thesis describes the design and development of an Android mobile application for collecting and reporting information about traffic accidents. Additional components such as servers and a web service with a map are also included. Together with the mobile application they form a system for reporting, storage and analysis of information about traffic accidents. The tools and components that have been chosen are mainly open source, which means that they are accessible and free for everyone to use and create their own system. Swedish police authorities nationwide are currently collecting data of traffic accidents. The information, which is stored in a national database managed by the Swedish Transport Agency, is an important resource in the process of analysing and improving road safety. The data collection by the police has, since the beginning been intended to be conducted in the field on a hand held device, however this is not the case. Consequently the national database consists of information that has been collected by filling out paper forms that are later digitized. Varying data quality and long overall submission times have been noted as problems that can be attributed to this analogue step of the reporting process. It has been suggested that the data collection process is in need of an update: a new digital tool is necessary. The Android application, which is the main contribution, is intended as a suggestion to a digital replacement of the paper form. The functionality of the application is based on the requirements of the current paper form used by police. The created system can collect all of the information that the currently used analogue method does as well as new media such as GPS coordinates, photographs and audio. The functionality of the web service demonstrates that data is collected and stored in suitable formats in a database schema that is flexible enough to facilitate a wide range of queries relevant to the field of road safety

Measuring mobile search tasks on Android platform

See english abstract for detailsThe presented work concerns the topic of complex search tasks and exploratory search. Search algorithms require statistical data to be improved and have to consider the effects of the user platform. Today the mobility of the world is quickly growing and more and more search queries are made from mobile devices. As mobile platforms have some specific differences from the desktops, it is an interesting field to research and compare mobile search with desktop based search. The Search Experiment application for Android developed in this work allows to compare the behavior of different users carrying out the same search tasks. The application provides the possibility to log sequences of actions users made during their searches and provides a data store engine for logs. The work gives small overview of related work and implementations on similar and describes the details of implementation of the Search Experiment application for the Android platform. It also gives a short summary on collected statistics and the usability of the program

Microsoft student programs of Microsoft Bangladesh Ltd.

This internship report is submitted in a partial fulfillment of the requirements for the degree of Bachelor of Business Administration, 2015Cataloged from PDF version of Internship report.Includes bibliographical references (page 38).The primary objective of preparing this report is to fulfill the requirement of BBA program. This contains four credits for internship and to apply the theoretical knowledge gained from the coursework of the BBA program in a specific field. First of all this report include about the organization Microsoft, the history of Microsoft and the product and services offer by Microsoft. In addition, the future plan and some strategies are also included here. Then the next part of this report is about the job I have performed during my internship period at Microsoft. I have gained some knowledge and experience which can be helpful for my future from this internship. In addition, this report focused on specific project which is about the Microsoft Student Programs of Microsoft Bangladesh Ltd. In this project, I have briefly discussed on Microsoft Student Programs, specially, Microsoft Student Partner (MSP) and DreamSpark. Moreover, the main purposes of these programs are also discussed in this report. Furthermore, this report includes the basic strengths, weaknesses, opportunities and threats of these programs. To prepare this report I have collected some data from Microsoft Student Partners. This report explores the main sources from where students are getting the information about these programs and why they are influenced to join this MSP programs. Moreover, using leaking bucket theory this report shows the reason why students want to switch to Google. Finally, some recommendations have suggested overcoming the problem.Sumaita AhmedB. Business Administratio

DATA ANALYTICS FOR HOSPITAL OPERATIONS

Modern hospitals and clinics produce tons of electronic data every day regarding patients, medications, treatments, and diseases. These amounts of data contain the potential to help humanity understand and analyze the biomedical fields from a statistical and predictive point of view. Throughout the years, research has been concluded to develop methods of interpreting and analyzing this data. Biomedical statistical researchers have experimented algorithms to achieve findings and associations within the aspects of the data given. Medical decision-making is becoming more and more dependent on data analysis, rather than conventional experience and intuition. Hence, this project will look into the feasibility of developing software for hospital data analysis, specifically, the MIMIC-II (Multiparameter Intelligent Monitoring in Intensive Care) data that support a diverse range of analytic studies which extend across epidemiology, clinical decision-rule improvement, and electronic tool development. This statistical software is programmed to run multiple algorithms on the massive datasets in the mean of revealing similarities of items related to sets by focusing on the algorithm based of Market-Basket method. With the aim to assist in showing patterns and associations in hospital big data, the software reveals associations and apprehending patterns inside this data demonstrated as predictive analytics that can assist in handling comparable cases and present clinical and hospital-decision

A Consumers Guide to Grants Management Systems 2016

This report has been released by Grants Managers Network (GMN) and Technology Affinity Group (TAG), with research conducted by Idealware. The report compares 29 grants management systems across 174 requirements criteria, looks at what each system does, and compares the strengths and weaknesses of each system available to grantmakers. The report looks at how they stack up against high-level categories and details the functionality of each system against specific criteria important to the grant-making community

Technology in the 21st Century: New Challenges and Opportunities

Although big data, big data analytics (BDA) and business intelligence have attracted growing attention of both academics and practitioners, a lack of clarity persists about how BDA has been applied in business and management domains. In reflecting on Professor Ayre's contributions, we want to extend his ideas on technological change by incorporating the discourses around big data, BDA and business intelligence. With this in mind, we integrate the burgeoning but disjointed streams of research on big data, BDA and business intelligence to develop unified frameworks. Our review takes on both technical and managerial perspectives to explore the complex nature of big data, techniques in big data analytics and utilisation of big data in business and management community. The advanced analytics techniques appear pivotal in bridging big data and business intelligence. The study of advanced analytics techniques and their applications in big data analytics led to identification of promising avenues for future research