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Mainstream wireless personal area networking capable consumer electronic products (excluding Infra-red (IR)) began to appear in the late 1990s and during the early 2000s the market witnessed the emergence of the first Wi-Fi and Bluetooth products. The ability to use products wirelessly was a completely new experience, as IR products required devices to be in line-of-sight. The TV remote control, of course, is the classic example of an IR device still commonly used today, although ZigBee, Bluetooth wireless technology, and a few others are looking to evolve this classic 40+ year old product. Nevertheless, the Motorola Xoom 2 (motorola.com) included IR capability to offer a universal remote, which can control multiple IR capable devices through a dedicated App, such as Dijit (dijit.com), a universal remote control application for smartphones and tablets. Another similarly classic wireless technology is the key-fob for vehicular access – it remains popular and doesn't require a line-of-sight operation. Some early wireless products that utilized Wi-Fi and Bluetooth were perhaps a cumbersome introduction to the wireless era, as many consumers grappled with early versions of these wireless-enabled products. The growth and development of these wireless devices as they have evolved has been exponential. The last decade or so has afforded consumers the ability to acclimatize to and increasingly become familiar with a range of wireless-enabled products and their associated idiosyncrasies, ensuring their future success. To demonstrate consumers’ over-familiarity with wireless technology, Wi-Fi has become synonymous with the ability to connect to the Internet; in fact, some consumers incorrectly regard Wi-Fi as the Internet.
The low power, wireless sensor technology portfolio would not be complete without the inclusion of EnOcean's award-winning patented batteryless, wireless sensor radio technology. In this chapter, we discuss EnOcean's inception and moderately short history, and we provide a review of the Alliance and promoter members’ benefits. EnOcean uses a patented technique to self-power its wireless sensors, and we'll delve deeper into the company's innovative technology and how the technology is being used within the commercial sector later on in the chapter. Likewise, we'll explore EnOcean's product portfolio, the market scope, and numerous user scenarios that place the technology into the real world, ultimately to gain a better understanding of its application-base and purpose. Similarly, we'll look at how EnOcean compares with other low power wireless sensor technologies and review some key differentiators that set EnOcean apart from its competitors.
Overview
Briefly, EnOcean's innovative technology prides itself on a technique known as energy harvesting – the ability of a sensor to derive energy from its environment to power its sensor technology, as opposed to using batteries or any other fixed power source. The technology, or indeed the notion, isn't new; you may recall from Chapter 5, “Introducing Low Power and Wireless Sensor Technologies,” that we discussed numerous techniques used to source energy from natural resources. Renewable energy describes the conversion of natural resources, such as the wind, sunlight, rain, and so on, into a sustainable energy form which can be used to self-power a device. The energy harvesting technique used by EnOcean detects minor variations in the environment, such as change in temperature, ambient light, and the turning on and off of a switch, whereby such differences are sufficient to be converted to enable an EnOcean sensor to accumulate and store energy.
ZigBee (zigbee.org) is a protocol-based global standard, which has been developed by a consortium of over 400 companies around the world. The protocol relies on the Institute of Electrical and Electronics Engineers (IEEE) 802.15.4 standard, which provides the protocol with its air-interface. ZigBee has been around for a number of years, with its initial ratified standard appearing in December 2004; later, in June 2005, the standard was made public. ZigBee specifies a software protocol that sits upon the IEEE 802.15.4 Media Access Control (MAC) and Physical (PHY) layers, which we'll discuss later on.
In this chapter, we discuss ZigBee's inception and evolution since making its first public appearance in 2005. What's more, we'll explore the ZigBee Alliance, along with its membership benefits and structure. The chapter also discusses the diverse market scope that ZigBee has already captured and is currently targeting, and explores the ZigBee product range and potential. Naturally, we'll also look at how ZigBee is set apart from other competing technologies within the same market sector. Finally, the chapter lifts the lid on ZigBee and takes a closer look at its software architecture and protocol.
Following recent developments in the literature on axiomatic theories of truth, we investigate an alternative to the widespread habit of formalizing the syntax of the object-language into the object-language itself. We first argue for the proposed revision, elaborating philosophical evidences in favor of it. Secondly, we present a general framework for axiomatic theories of truth with ‘disentangled’ theories of syntax. Different choices of the object theory O will be considered. Moreover, some strengthenings of these theories will be introduced: we will consider extending the theories by the addition of coding axioms or by extending the schemas of O, if present, to the entire vocabulary of our theory of truth. Finally, we touch on the philosophical consequences that the theories described can have on the debate about the metaphysical status of the truth predicate and on the formalization of our informal metatheoretic reasoning.
Ontology evolution aims at maintaining an ontology up to date with respect to changes in the domain that it models or novel requirements of information systems that it enables. The recent industrial adoption of Semantic Web techniques, which rely on ontologies, has led to the increased importance of the ontology evolution research. Typical approaches to ontology evolution are designed as multiple-stage processes combining techniques from a variety of fields (e.g., natural language processing and reasoning). However, the few existing surveys on this topic lack an in-depth analysis of the various stages of the ontology evolution process. This survey extends the literature by adopting a process-centric view of ontology evolution. Accordingly, we first provide an overall process model synthesized from an overview of the existing models in the literature. Then we survey the major approaches to each of the steps in this process and conclude on future challenges for techniques aiming to solve that particular stage.
Degree distribution is a fundamental property of networks. While mean degree provides a standard measure of scale, there are several commonly used shape measures. Widespread use of a single shape measure would enable comparisons between networks and facilitate investigations about the relationship between degree distribution properties and other network features. This paper describes five candidate measures of heterogeneity and recommends the Gini coefficient. It has theoretical advantages over many of the previously proposed measures, is meaningful for the broad range of distribution shapes seen in different types of networks, and has several accessible interpretations. While this paper focuses on degree, the distribution of other node-based network properties could also be described with Gini coefficients.
A novel rigid-body control design methodology for 6-degree-of-freedom (dof) parallel kinematic mechanisms (PKMs) is proposed. The synchronous control of PKM joints is addressed through a novel formulation of contour and lag errors. Robust performance as a control specification is addressed. A convex combination controller design approach is applied to address the problem of simultaneously satisfying multiple closed-loop specifications. The applied dynamic modeling approach allows the design methodology to be extended to 6-dof spatial PKMs. The methodology is applied to the design of a 6-dof PKM-based meso-milling machine tool and simulations are conducted.
This paper presents a whole-body dynamics controller for robust push recovery on a force-controlled bipedal robot. Featherstone's spatial vector method is used to deduce dynamics formulas. We reveal a relationship between the accelerations of the floating base and the desired external forces needed for those accelerations. Introducing constraints on the desired external forces causes corresponding constraints on the accelerations. Quadratic programming is applied to find the extremal accelerations, which recover the robot from pushes as best as possible. A robustness criterion is proposed based on the linear inverted pendulum model to evaluate the performance of push recovery methods quantitatively. We evaluate four typical push recovery methods and the results show that our method is more robust than these. The effectiveness of the proposed method is demonstrated by push recovery in simulations.