Titlebook: Legal Tech, Smart Contracts and Blockchain; Marcelo Corrales,Mark Fenwick,Helena Haapio Book 2019 Springer Nature Singapore Pte Ltd. 2019

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,“When People Just Click”: Addressing the Difficulties of Controller/Processor Agreements Online,t they will comply with data protection law. However, given the wide definitions of the terms “processing,” “controller” and “processor,” it is likely that we will see many situations where at least one of those parties is not acting in a professional capacity, but still comes under the remit of the

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,The Lawyer of the Future as “Transaction Engineer”: Digital Technologies and the Disruption of the rupt legal work as it has traditionally operated. Various aspects of this disruption are outlined. Second, in contrast to previous technological revolutions, the “deployment” of disruptive innovation in the context of the digital revolution seems unlikely to be primarily “state-led.” Instead, new te

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and increasing system capacity in cellular networks. Power allocation in D2D communication to maintain Quality-of-Service (QoS) remains as a challenging task. In this paper, we investigate the power allocation in D2D underlaying cellular networks with multi-user cellular uplink channel reuse. Specif

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Marcelo Corrales,Mark Fenwick,Helena Haapio of users and Quality of Service (QoS) of providers. In recent years, HTTP Adaptive Streaming (HAS) has received significant attention from both industry and academia based on its impacts in the enhancement of media streaming services. However, HAS-alone cannot guarantee a seamless viewing experienc

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Rory Unsworthidered system consists of one source, multiple legitimate user pairs and presenting an eavesdropper. In each pair, the better user forwards the information from the source to the worse user by using the decode-and-forward (DF) scheme and assuming that the eavesdropper attempts to extract the worse u

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Margaret Haganniques. The depth image acquisition, however, is typically challenged due to poor hardware performance and high computation cost. To tackle such limitations, this paper proposes an efficient approach for depth image reconstruction using low rank (LR) and total variation (TV) regularizations. The key