10 research outputs found

    Recent Advances in Cellular D2D Communications

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    Device-to-device (D2D) communications have attracted a great deal of attention from researchers in recent years. It is a promising technique for offloading local traffic from cellular base stations by allowing local devices, in physical proximity, to communicate directly with each other. Furthermore, through relaying, D2D is also a promising approach to enhancing service coverage at cell edges or in black spots. However, there are many challenges to realizing the full benefits of D2D. For one, minimizing the interference between legacy cellular and D2D users operating in underlay mode is still an active research issue. With the 5th generation (5G) communication systems expected to be the main data carrier for the Internet-of-Things (IoT) paradigm, the potential role of D2D and its scalability to support massive IoT devices and their machine-centric (as opposed to human-centric) communications need to be investigated. New challenges have also arisen from new enabling technologies for D2D communications, such as non-orthogonal multiple access (NOMA) and blockchain technologies, which call for new solutions to be proposed. This edited book presents a collection of ten chapters, including one review and nine original research works on addressing many of the aforementioned challenges and beyond

    Southern Accent September 1973 - June 1974

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    Southern Adventist University\u27s newspaper, Southern Accent, for the academic year of 1973-1974.https://knowledge.e.southern.edu/southern_accent/1050/thumbnail.jp

    Holland City News, Volume 78, Number 35: September 1, 1949

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    Newspaper published in Holland, Michigan, from 1872-1977, to serve the English-speaking people in Holland, Michigan. Purchased by local Dutch language newspaper, De Grondwet, owner in 1888.https://digitalcommons.hope.edu/hcn_1949/1034/thumbnail.jp

    Rockland Gazette : January 16, 1852

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    Smart Wireless Sensor Networks

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    The recent development of communication and sensor technology results in the growth of a new attractive and challenging area - wireless sensor networks (WSNs). A wireless sensor network which consists of a large number of sensor nodes is deployed in environmental fields to serve various applications. Facilitated with the ability of wireless communication and intelligent computation, these nodes become smart sensors which do not only perceive ambient physical parameters but also be able to process information, cooperate with each other and self-organize into the network. These new features assist the sensor nodes as well as the network to operate more efficiently in terms of both data acquisition and energy consumption. Special purposes of the applications require design and operation of WSNs different from conventional networks such as the internet. The network design must take into account of the objectives of specific applications. The nature of deployed environment must be considered. The limited of sensor nodes� resources such as memory, computational ability, communication bandwidth and energy source are the challenges in network design. A smart wireless sensor network must be able to deal with these constraints as well as to guarantee the connectivity, coverage, reliability and security of network's operation for a maximized lifetime. This book discusses various aspects of designing such smart wireless sensor networks. Main topics includes: design methodologies, network protocols and algorithms, quality of service management, coverage optimization, time synchronization and security techniques for sensor networks

    Buddhism

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    The ethics of George Eliot

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    This item was digitized by the Internet Archive. Thesis (Ph.D.)--Boston Universityhttps://archive.org/details/ethicsofgeorgeel00hur

    Portland Daily Press: May29, 1899

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    https://digitalmaine.com/pdp_1899/1126/thumbnail.jp

    Remembering past events in chimpanzees (Pan troglodytes), bonobos (Pan paniscus) and orangutans (Pongo pygmaeus)

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    Episodic memory is memory for personally experienced past events. Recently, there has been intense debate as to whether episodic memory is unique to humans, or whether it may extend to non-human animals. Although many insightful paradigms have shown elements of episodic memory in numerous species, research has been shrouded with difficulties, stemming from the extensive criteria and the phenomenological nature of such memories. This thesis, therefore, aims to move beyond a debate hindered by definition, and rather than searching for a definite answer to the question, focuses on comparing the similarities and differences between the way humans and animals (specifically, great apes) recall past events. The thesis beings with an introduction to memory, before focusing on episodic memory and the episodic memory debate. In the following chapter, the subjects (great apes) and the general testing procedure are introduced. In Chapter 3, the distinctiveness effect is investigated in the recall of a past event. The distinctiveness effect refers to the enhanced memory for distinctive, as opposed to non-distinct information. The results suggest that the distinctiveness effect occurs in great apes’ memory of past events, moreover, it occurs regardless of reinforcement, consistent with results found in humans. Chapter 4 explores involuntary memory in great apes; a form of memory that occurs frequently in humans and has been proposed to exist in animals, yet has been largely overlooked. Using a paradigm that draws upon elements of involuntary memory, apes show successful recall of a past event after long delays. Chapter 5 investigates the recall of social information from past events, an area which has received little attention. The results of this chapter indicate that apes fail to integrate social information (who) with what, suggesting that social information may not be readily incorporated into the memory of past events; however, this is likely due to a lack of saliency. The final chapter discusses the findings of the three experimental chapters (3-5), before providing potential avenues for future research.Funded by Danmarks Grundforskningsfond; grant number: DNRF8
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