Vibration Performance Redistribution in Heterogeneous Networks

Collective behaviors such as synchronization, consensus, and flocking have been extensively investigated over the past decades. Many important results have been disseminated concerning the properties of complex networks. Recent technological development requires performance distribution, and this motivates the resolution to the issue of performance distributability. Albeit in a simple setup, this paper presents an attempt to attacking this problem. Important results are obtained for performance redistribution under both unitary and specified specifications. Constraints are also considered revealing the tight bounds on both nodes dynamics and graph elements for fulfilling the performance distribution and redistribution requirements. Examples are presented for verification of the claims.

Blockchain-based Data Provenance

Data provenance tracks the origin of information with the goal of improving trust among interested parties. One of the key aspects provided by data provenance is transparency, which allows stakeholders to follow all the changes applied to the information (e.g. a document). Blockchains, a recent technological development, allow transparency in a distributed application context without the need for a trusted centralized entity. The approach presented here aims to use blockchain as a secure, shared and auditable storage providing transparent data provenance. Our proposal builds upon the well established W3C Prov Model, which simplifies adoption of the framework. An application consisting of a client and a REST API service that is able to store provenance information using open standards in a blockchain has been developed. Here we report the results of several stress tests to validate the practicability of our approach.

Scale

Moving Between Scales has Always been Important to Archaeologists. This chapter examines the extent to which spatial and temporal scales of investigation are transformed when the focus of archaeological study is shifted from the distant past to the present or recent past. It notes how new multi-scalar domains have been opened up through recent technological development, and acknowledges the extent to which disciplinary ways of seeing and doing have been altered by rapid adoption of some of the very devices (for example, computers) that might also be objects of study. The fractal nature of modern synthetic materials and environments, with artefactual structure observable at almost every level or scale of analysis from the very large to the very small, is also explored. Archaeology, it is argued, is inevitably changed by its encounter with modern materials and the multiple scales encapsulated therein.