3,823 research outputs found

    The Management of Clinical Incidents in ICT Services Through Mobile Applications

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    Mobile environment has revolutionized the health field. This fact and the rise of mobile technology have led to improve processes of care. In this paper, we present a practical application of BSC (balance scorecard) for Management of clinical incidents in ICT services through mobile devices in health organization. The objective of building of system is to integrate with main system of organization, for management of critical incident in ICT department of hospital and health centre. To do this, we have analysed and evaluated of process to management of incident that allow us to show the management information of way practical and we have applicated a real case. Results suggest that the integration of Balanced Scorecard helps with decision-making tasks because they allow decreasing response times and improving company management. In conclusion, make users satisfaction grow, objective sought by health companie

    CrowdPower: A Novel Crowdsensing-as-a-Service Platform for Real-Time Incident Reporting

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    Crowdsensing using mobile phones is a novel addition to the Internet of Things applications suite. However, there are many challenges related to crowdsensing, including (1) the ability to manage a large number of mobile users with varying devices’ capabilities; (2) recruiting reliable users available in the location of interest at the right time; (3) handling various sensory data collected with different requirements and at different frequencies and scales; (4) brokering the relationship between data collectors and consumers in an efficient and scalable manner; and (5) automatically generating intelligence reports after processing the collected sensory data. No comprehensive end-to-end crowdsensing platform has been proposed despite a few attempts to address these challenges. In this work, we aim at filling this gap by proposing and describing the practical implementation of an end-to-end crowdsensing-as-a-service system dubbed CrowdPower. Our platform offers a standard interface for the management and brokerage of sensory data, enabling the transformation of raw sensory data into valuable smart city intelligence. Our solution includes a model for selecting participants for sensing campaigns based on the reliability and quality of sensors on users’ devices, then subsequently analysing the quality of the data provided using a clustering approach to predict user reputation and identify outliers. The platform also has an elaborate administration web portal developed to manage and visualize sensing activities. In addition to the architecture, design, and implementation of the backend platform capabilities, we also explain the creation of CrowdPower’s sensing mobile application that enables data collectors and consumers to participate in various sensing activities

    Enabling environmental fingerprinting with an NFC-powered sensor board

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    Abstract. In recent times, people have become concerned about their environmental conditions, amid deteriorating global statistics on bad air quality, global warming and UV light exposure. Conventional technologies for reading environmental conditions are expensive, bulky and situated, yet, people are mobile and need portable tools to be aware of their immediate environmental conditions on demand. Smartphones are now widely used, endowed with sensors and wireless communication technologies such as Bluetooth, and Near Field Communication (NFC) for external sensor connectivity, making smartphones a viable tool for fingerprinting the environment. This thesis outlines the design, evaluation and implementation of a mobile-enabled system for environmental data collection using a portable NFC powered sensor board. The name of the system developed in this thesis is the S3 system. The S3 system is a two-tier system which consists of S3 Android application and an online dashboard with a data repository. The S3 Android application is used for collecting and visualising environmental data; temperature, humidity, UV, ambient light, with a smartphone and a credit card-size NFC powered sensor board. The sensor data is then periodically synced to the online data repository. Additional features of the S3 application include automated feedback sampling, introductory tutorial, and user preference settings. The thesis further details the design and implementation process with scenarios, use cases, paper sketches, expert review of sketches, interface mockups, evaluation of prototype with a user study, quantitative and qualitative analysis of user study data, and finally the implementation of the S3 application. The thesis also presents a test run to demonstrate the capabilities of the S3 system as a mobile-enabled solution for crowdsourced environmental fingerprint datasets. To the end user, the work in this thesis provides the S3 application and the NFC powered sensor card as a portable tool for personalised environmental fingerprinting. On the other hand, the intervention in this thesis will have an impact on research since the crowdsourced environmental fingerprint datasets can be valuable datasets for research. As a TEKES project, the solution also provides a proof of concept for further improvement and deployment into the commercial software market

    Connected Car: technologies, issues, future trends

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    The connected car -a vehicle capable of accessing to the Internet, of communicating with smart devices as well as other cars and road infrastructures, and of collecting real-time data from multiple sources- is likely to play a fundamental role in the foreseeable Internet Of Things. In a context ruled by very strong competitive forces, a significant amount of car manufacturers and software and hardware developers have already embraced the challenge of providing innovative solutions for new generation vehicles. Today’s cars are asked to relieve drivers from the most stressful operations needed for driving, providing them with interesting and updated entertainment functions. In the meantime, they have to comply to the increasingly stringent standards about safety and reliability. The aim of this paper is to provide an overview of the possibilities offered by connected functionalities on cars and the associated technological issues and problems, as well as to enumerate the currently available hardware and software solutions and their main features

    Android forensics: Automated data collection and reporting from a mobile device

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    As Android smartphones gain popularity, industry and government will face increasing pressure to integrate them into their environments. The implementation of these devices on an enterprise can save on costs and add capabilities previously unavailable; however, the organizations that incorporate this technology must be prepared to mitigate the associated risks. These devices can contain vast amounts of personal and work-related data that can impact internal investigations, including (but not limited to) those of policy violations, intellectual property theft, misuse, embezzlement, sabotage, and espionage. Physical access has been the traditional method for retrieving data useful to these investigations from Android devices, with the exception of some limited collection abilities in commercial mobile device management systems and remote enterprise forensics tools. As part of this thesis, a prototype enterprise monitoring system for Android smartphones was developed to continuously collect many of the data sets of interest to incident responders, security auditors, proactive security monitors, and forensic investigators. Many of the data sets covered were not found in other available enterprise monitoring tools. The prototype system neither requires root access privileges nor exploiting weaknesses in the Android architecture for proper operation, thereby increasing interoperability among Android devices and avoiding a spyware classification for the system. An anti-forensics analysis on the system was performed to identify and further strengthen areas vulnerable to tampering. The results of this research include the release of the first open-source Android enterprise monitoring solution of its kind, a comprehensive guide of data sets available for collection without elevated privileges, and the introduction of a novel design strategy implementing various Android application components useful for monitoring on the Android platform

    EXTREMA:a portable assessement of asthma symptoms due to extreme climate change

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    Abstract. This thesis work focuses on developing an intelligent mobile application that presents and highlights the health effects of climate change on asthma patients. The Android mobile application ‘EXTREMA’ is targeted towards patients in various scenarios, e.g., health, lifestyle, and education. The ‘EXTREMA’ application receives input from a patient along with smart weather sensor and the GPS (Global Positioning System) location sensor in the smartphone and communicates over the Internet with a remote server (Aware) accessible by research professionals who are in charge of the remote monitoring of the patients. This thesis outlines the design, implementation, and evaluation via the deployment of a system aimed to help both individual users and researchers to efficiently gather self-reported symptoms data, and medication record according to weather conditions and user location. For gathering the data, there was no direct interaction with the users (asthma patients). However, during and after the development, the final version of the application was tested and evaluated during the thesis. Different measures were taken regarding the performance of the application, such as data loading, number of users, efficiency and accuracy of the weather sensor data. The major output of the thesis is the application system, which can be used, by users and researchers to record medication and symptoms data in a meaningful format for future use. Hence, the main contribution is also towards improving the health of asthma patients and conducting research in the area

    Game of questionnairesin a gamification application

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    This final project has focused on the improvement of an existing application called Classpip, which has been developed by several students of this faculty (EETAC). This application has as its main objective the gamification, which consists of using the techniques and elements of the games (points, objectives ...) to promote and increase the learning of the students using technology.For this, some predefined languages were chosenand an architecturewas created,which consists of a mobile application for the student to play, with anadministrationpanel for the teacher, in which theycan configure the differentmodules of the application. These two blocks are fed from a database based on REST-API.The main objectives of this project can be defined as:Modify and improve a current first version of a questionnaire module,which does not have great functionality or playability for students. That is why I have the freewayto develop, implement or modify any functionality.Provide help to the future developers. These aids consist of, from helping them understand my code by providing them with a video tutorial where I talk about it, to help them to be productive as soon as possible, making an example of how a functionality couldbe implemented inthe application.Finally, a much more improved version has been achieved than the current one, which has many open lines because there are configured parameters that are not used. Therefore, the open lines can be considered to be started and marked
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