The Internet of Things (IoT) makes it possible for tiny devices with sensing and communication capabilities to be interconnected and interact with the cyber physical world. However, these tiny ...devices have limited computing power and memory, so they often cannot run commodity operating systems, such as Windows. and Linux. IoT devices are deployed everywhere, from smart home appliances to self-driving vehicles, and their applications impose ever-increasing and more heterogeneous demands on software architecture. There are many special-purpose and embedded operating systems built to satisfy these wildly different requirements, from early sensor network operating systems, such as TinyOS and Contiki, to more modern robot and real-time control systems, such as FreeRTOS and Zephyr. However, the rapid evolution and heterogeneity of IoT applications calls for a different solution. Specifically, this work introduces Tinkertoy, a collection of standard operating system modules from which developers can easily assemble customized operating systems. A customized operating system provides precisely the functionality needed by an application and consumes up to four times less memory than other IoT operating systems without sacrificing performance.
Based on the research of XML core technology, this paper introduces the current mainstream XML parsing methods, XML DOM and SAX methods. For the current android system, which is used in android ...operating system. XML is researched in the android layout file, which is combined with the current android platform. The paper introduce application of XML pull parsing process, first study the parsing performance of XML, the second through an example to discuss these three methods, the last analysis XML file Size and compares these three methods.
Windows Server 2019 powers virtually every single large and medium-sized organizations around the glove. This problem-solution guide has over 100 recipes to help you manage simple to complex ...administrative tasks in Windows Server 2019.
Summary
Demand‐side management comprises a portfolio of actions on the consumers' side to ensure reliable power indices from the electrical system. The home energy management system (HEMS) is used to ...manage the consumption and production of energy in smart homes. However, the technology of HEMS architecture can be used for the detection and classification of power quality disturbances. This paper presents low‐voltage metering hardware that uses an ARM Cortex M4 and real‐time operating system to detect and classify power quality disturbances. In the context of HEMS, the proposed metering infrastructure can be used as a smart meter, which provides the service of power quality monitoring. For this type of application, there is a need to ensure that the development of this device has an acceptable cost, which is one of the reasons for the choice of an ARM microprocessor. However, managing a wide range of operations (data acquisition, data preprocessing, disturbance detection and classification, energy consumption, and data exchange) is a complex task and, consequently, requires the optimization of the embedded software. To overcome this difficulty, the use of a real‐time operating system provided by Texas Instruments (called TI‐RTOS) is proposed with the objective of managing operations at the hardware level. Thus, a methodology with low computational cost has been defined and embedded. The proposed approach uses a preprocessing stage to extract some features that are used as inputs to detect and classify disturbances. In this way, it was possible to evaluate and demonstrate the performance of the embedded algorithm when applied to synthetic and real power quality signals. Consequently, it is noted that the results are significant in the analysis of power quality in a smart grid scenario, as the smart meter offers low cost and high accuracy in both detecting (an accuracy rate above 90%) and classifying (an average accuracy rate above 94%) disturbances.
This paper proposes a methodology for monitoring power quality using a real‐time operation system embedded in low‐cost hardware. An architecture for demand‐side management focusing in power quality is described. The developed smart meter is a low‐cost one in order to encourage consumer participation in demand‐side management programs. Fast Fourier transform and statistics metrics are used for features extraction in order to decrease the computational cost. The proposal can be extended with demand response algorithms, Internet of Things, and loads control.
Windows Server 2019 is the server operating system developed by Microsoft as part of the Windows NT family of operating systems. With Windows Server 2019, Microsoft has gotten us thinking outside of ...the box for what it means to be a system administration, and comes with some interesting new capabilities. Mastering Windows Server 2019 covers.
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