573 research outputs found

    Analysis of Single Board Architectures Integrating Sensors Technologies

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    Development boards, Single-Board Computers (SBCs) and Single-Board Microcontrollers (SBMs) integrating sensors and communication technologies have become a very popular and interesting solution in the last decade. They are of interest for their simplicity, versatility, adaptability, ease of use and prototyping, which allow them to serve as a starting point for projects and as reference for all kinds of designs. In this sense, there are innumerable applications integrating sensors and communication technologies where they are increasingly used, including robotics, domotics, testing and measurement, Do-It-Yourself (DIY) projects, Internet of Things (IoT) devices in the home or workplace and science, technology, engineering, educational and also academic world for STEAM (Science, Technology, Engineering and Mathematics) skills. The interest in single-board architectures and their applications have caused that all electronics manufacturers currently develop low-cost single board platform solutions. In this paper we realized an analysis of the most important topics related with single-board architectures integrating sensors. We analyze the most popular platforms based on characteristics as: cost, processing capacity, integrated processing technology and opensource license, as well as power consumption (mA@V), reliability (%), programming flexibility, support availability and electronics utilities. For evaluation, an experimental framework has been designed and implemented with six sensors (temperature, humidity, CO2/TVOC, pressure, ambient light and CO) and different data storage and monitoring options: locally on a ”SD (Micro Secure Digital), on a Cloud Server, on a Web Server or on a Mobile ApplicationThis research was partially supported by the Centro Científico Tecnológico de Huelva (CCTH), University of Huelv

    Graceful Degradation in IoT Security

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    As the consumer grade IoT devices industry advances, personal privacy is constantly eroded for the sake of convenience. Current security solutions, although available, ignore convenience by requiring the purchase of additional hardware, implementing confusing, out of scope updates for a non-technical user, or quarantining a device, rendering it useless. This paper proposes a solution that simultaneously maintains convenience and privacy, tailored for the Internet of Things. We propose a novel graceful degradation technique which targets individual device functionalities for acceptance or denial at the network level. When combined with current anomaly detection and fingerprinting methods, graceful degradation provides a personalized IoT security solution for the modern user

    Study and design of an interface for remote audio processing

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    This project focused on the study and design of an interface for remote audio processing, with the objective of acquiring by filtering, biasing, and amplifying an analog signal before digitizing it by means of two MCP3208 ADCs to achieve a 24-bit resolution signal. The resulting digital signal was then transmitted to a Raspberry Pi using SPI protocol, where it was processed by a Flask server that could be accessed from both local and remote networks. The design of the PCB was a critical component of the project, as it had to accommodate various components and ensure accurate signal acquisition and transmission. The PCB design was created using KiCad software, which allowed for the precise placement and routing of all components. A major challenge in the design of the interface was to ensure that the analog signal was not distorted during acquisition and amplification. This was achieved through careful selection of amplifier components and using high-pass and low-pass filters to remove any unwanted noise. Once the analog signal was acquired and digitized, the resulting digital signal was transmitted to the Raspberry Pi using SPI protocol. The Raspberry Pi acted as the host for a Flask server, which could be accessed from local and remote networks using a web browser. The Flask server allowed for the processing of the digital signal and provided a user interface for controlling the gain and filtering parameters of the analog signal. This enabled the user to adjust the signal parameters to suit their specific requirements, making the interface highly flexible and adaptable to a variety of audio processing applications. The final interface was capable of remote audio processing, making it highly useful in scenarios where the audio signal needed to be acquired and processed in a location separate from the user. For example, it could be used in a recording studio, where the audio signal from the microphone could be remotely processed using the interface. The gain and filtering parameters could be adjusted in real-time, allowing the sound engineer to fine-tune the audio signal to produce the desired recording. In conclusion, the project demonstrated the feasibility and potential benefits of using a remote audio processing system for various applications. The design of the PCB, selection of components, and use of the Flask server enabled the creation of an interface that was highly flexible, accurate, and adaptable to a variety of audio processing requirements. Overall, the project represents a significant step forward in the field of remote audio processing, with the potential to benefit many different applications in the future

    An Analytical Study on the Implementation of a Healthcare App to Assist People with Disabilities Using Cloud Computing and IoT

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    This study targets a group of people who require care, that is, people with special needs. The significance of this study lies in addressing the main problem that this group suffers from, which is the lack of awareness and information that leads to the acceptance of that group in society. This work aims to create a mobile application that contributes to spreading knowledge among people with special needs and enhancing their skills to help them become accepted by community members. This application supports people with special needs with training resources, education, suitable jobs, and other services helping them in developing their experiences and knowledge to be active in society. In addition, an evaluation questionnaire has been developed to collect data from both the private and public sectors to classify the building blocks necessary for KSA to incorporate the Internet of Things (IoT) and cloud computing into the healthcare sector. As a result, most respondents acknowledge the importance of a streamlined data-gathering process, the IoT, and cloud-based computing to meet their healthcare needs. Lastly, six main blocks for checking suppliers and the public to accept IoT and cloud healthcare applications are then acknowledged in this paper

    Towards an efficient key management and authentication strategy for combined fog-to-cloud continuum systems

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    © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Fog-to-cloud systems have emerged as a novel concept intended to improve service performance by considering fog and cloud resources in a coordinated way. In such a heterogeneous scenario, security provisioning becomes necessary, hence novel security solutions must be designed to handle the highly distributed fog-to-cloud nature. In the security area, key distribution and authentication are referred to as two critical pillars for a successful security deployment. Unfortunately, traditional centralized key distribution and authentication approaches do not meet the particularities brought by a Fog-tocloud system due to its distributed nature. In this paper, we propose a novel distributed key management and authentication (DKMA) strategy to make Fog-to-cloud systems as secure as possible. The paper ends up presenting some results assessing the benefits of the proposed strategy in terms of traffic and delay reduction.Peer ReviewedPostprint (published version

    Open hardware for microfluidics: exploiting Raspberry Pi singleboard computer and camera systems for customisable laboratory instrumentation

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    The integration of Raspberry Pi miniature computer systems with microfluidics has revolu-tionized the development of low-cost and customizable analytical systems in life science labor-atories. This review explores the applications of Raspberry Pi in microfluidics, with a focus on imaging, including microscopy and automated image capture. By leveraging the low-cost, flexi-bility and accessibility of Raspberry Pi components, high-resolution imaging and analysis have been achieved in direct mammalian and bacterial cellular imaging and a plethora of image based biochemical and molecular assays, from immunoassays, through microbial growth, to nucleic acid methods such as real-time-qPCR. The control of image capture permitted by Raspberry Pi hard-ware can also be combined with onboard image analysis. Open-source hardware offers an op-portunity to develop complex laboratory instrumentation systems at a fraction of the cost of commercial equipment and importantly, offer an opportunity to completely customise to meet the users’ needs. However, these benefits come with a trade-off: challenges remain for those wishing to incorporate open-source hardware equipment in their own work, including requirements for construction and operator skill, need for good documentation and the availability of rapid pro-totyping such as 3D printing plus other components. These advances in open-source hardware have the potential to improve efficiency, accessibility, and cost-effectiveness of microfluidic-based experiments and applications

    A system supporting analysis of prototyping in Fab Lab education

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    Abstract. Digital Fabrication Laboratory (Fab Lab) is an educational workshop that is open and easily accessible for personal fabrication. This workshop is equipped with tools for various aspects of technological materialization. In Fab Labs, makers and educators struggle to have proper documentation of their design process. Means for quick documentation are essential for supporting users’ iterative prototyping, as well as analysis and reflection on design activities. This thesis aims to provide a solution to the lack of proper tools for documentation and reflection on design stages in the Fab Lab educational context. To this aim, different interconnected systems for supporting analysis of prototyping in the Fab Lab are developed. These include a mobile-enabled client-server architecture and a web-based administrative dashboard for supporting managing and analysis of annotated visual data of prototype designs in Fab Lab. Concerning the supporting analysis, the focus is to establish an easy to use documentation tool, which comprises of a mobile application and a web administrator for better Fab Lab educational experience. This thesis demonstrates the theoretical part of the lo-fi design, evaluation, implementation of Restful Web Services and implementation of the mobile-enabled system for properly documenting prototyping stages and an admin control panel. A usability testing was conducted for the developed mobile application and the web application. The purpose was to understand users’ feedback on the usability of the prototypes and the features in the applications that users find useful or the features that are required to be added or improved. The majority of the participants find the application useful

    A Framework for Aggregating Private and Public Web Archives

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    Personal and private Web archives are proliferating due to the increase in the tools to create them and the realization that Internet Archive and other public Web archives are unable to capture personalized (e.g., Facebook) and private (e.g., banking) Web pages. We introduce a framework to mitigate issues of aggregation in private, personal, and public Web archives without compromising potential sensitive information contained in private captures. We amend Memento syntax and semantics to allow TimeMap enrichment to account for additional attributes to be expressed inclusive of the requirements for dereferencing private Web archive captures. We provide a method to involve the user further in the negotiation of archival captures in dimensions beyond time. We introduce a model for archival querying precedence and short-circuiting, as needed when aggregating private and personal Web archive captures with those from public Web archives through Memento. Negotiation of this sort is novel to Web archiving and allows for the more seamless aggregation of various types of Web archives to convey a more accurate picture of the past Web.Comment: Preprint version of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2018) full paper, accessible at the DO

    Extraction of Vehicle CAN Bus Data for Roadway Condition Monitoring

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    Obtaining timely information across the state roadway network is important for monitoring the condition of the roads and operating characteristics of traffic. One of the most significant challenges in winter roadway maintenance is identifying emerging or deteriorating conditions before significant crashes occur. For instance, almost all modern vehicles have accelerometers, anti-lock brake (ABS) and traction control systems. This data can be read from the Controller Area Network (CAN) of the vehicle, and combined with GPS coordinates and cellular connectivity, can provide valuable on-the-ground sampling of vehicle dynamics at the onset of a storm. We are rapidly entering an era where this vehicle data can provide an agency with opportunities to more effectively manage their systems than traditional procedures that rely on fixed infrastructure sensors and telephone reports. This data could also reduce the density of roadway weather information systems (RWIS), similar to how probe vehicle data has reduced the need for micro loop or side fire sensors for collecting traffic speeds
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