Model for triggering of non-volcanic tremor by earthquakes

There is evidence of tremor triggering by seismic waves emanating from distant large earthquakes. The frequency content of both triggered and ambient tremor are largely identical, suggesting that this property does not depend directly on the nature of the source. We show here that the model of plate dynamics developed earlier by us is an appropriate tool for describing tremor triggering. In the framework of this model, tremor is an internal response of a fault to a failure triggered by external disturbances. The model predicts generation of radiation in a frequency range defined by the fault parameters. Thus, although the amplitude and duration of a tremor burst may reflect the "personality" of the source, the frequency content does not. The model also explains why a tremor has no clear impulsive phase, in contrast to earthquakes. The relationship between tremor and low frequency earthquakes is discussed.Comment: 9 pages, 1 figur

Model of deep non-volcanic tremor part I: ambient and triggered tremor

There is evidence of triggering of tremor by seismic waves emanating from distant large earthquakes. The frequency contents of triggered and ambient tremor are largely identical, suggesting that tremor does not depend directly on the nature of the source. We show here that the model of plate dynamics developed earlier by us is an appropriate tool for describing the onset of tremor. In the framework of this model, tremor is an internal response of a fault to a failure triggered by external disturbances. The model predicts generation of radiation in a frequency range defined by the fault parameters. Other specific features predicted are: the upper limit of the size of the emitting area is a few dozen km; tremor accompanies earthquakes and aseismic slip; the frequency content of tremor depends on the type of failure. The model also explains why a tremor has no clear impulsive phase, in contrast to earthquakes. A comparatively small effective normal stress (hence a high fluid pressure) is required to make the model consistent with observed tremor parameters. Our model indicates that tremor is not necessarily a superposition of low frequency earthquakes, as commonly assumed, although the latter may trigger them. The approach developed complements the conventional viewpoint which assumes that tremor reflects a frictional process with low rupture speed. Essentially our model adds the hypothesis that resonant-type oscillations exist inside a fault. This addition may change our understanding of the nature of tremor in general, and the methods of its identification and location in particular.Comment: 32 pages, 16 figures. arXiv admin note: text overlap with arXiv:1202.091

How does dissipation affect the transition from static to dynamic macroscopic friction?

Description of the transitional process from a static to a dynamic frictional regime is a fundamental problem of modern physics. Previously we developed a model based on the well-known Frenkel-Kontorova model to describe dry macroscopic friction. Here this model has been modified to include the effect of dissipation in derived relations between the kinematic and dynamic parameters of a transition process. The main (somewhat counterintuitive) result is a demonstration that the rupture (i.e. detachment front) velocity of the slip pulse which arises during the transition does not depend on friction. The only parameter (besides the elastic and plastic properties of the medium) controlling the rupture velocity is the shear to normal stress ratio. In contrast to the rupture velocity, the slip velocity does depend on friction. The model we have developed describes these processes over a wide range of rupture and slip velocities (up to 7 orders of magnitude) allowing, in particular, the consideration of seismic events ranging from regular earthquakes, with rupture velocities on the order of a few km/s, to slow slip events, with rupture velocities of a few km/day.Comment: 21 pages, 12 figure

Complex Event Processing for integration of Internet of Things devices

Internet stvari (IoT) se kot relativno nova tehnologija sooča s številnimi izzivi. Za IoT omrežja je značilno, da jih sestavlja veliko število naprav. Vsaka od teh naprav generira ogromno količino dogodkov. Zato je skalabilnost ena od ključnih zahtev IoT aplikacij. Računalništvo v oblaku nam lahko pomaga doseči skalabilnost tako, da nam zagotavlja virtualno neomejene količine virov. Arhitektura mikrostoritev postaja vse bolj popularna za namestitev aplikacij v oblaku. Pogosto hočemo iz dogodkov, ki prihajajo iz IoT naprav, pridobiti informacije v realnem času. Težje bi bilo pridobiti uporabne informacije iz enormne količine neobdelanih dogodkov, če bi dogodke shranjevali v podatkovno bazo. Kompleksna obdelava dogodkov nam omogoča, da analiziramo dogodke in iz njih pridobivamo uporabne informacije v realnem času. Da bi vse to demonstrirali, smo razvili IoT aplikacijo, ki sledi načelom mikrostoritvene arhitekture. Aplikacija lahko simulira dogodke, jih sprejema, izvaja kompleksno obdelavo dogodkov in prikazuje vizualizacije. Mikrostoritev, ki sprejema dogodke, lahko skaliramo navzgor in navzdol s ciljem, da uravnotežimo obremenitev med instancami in dosežemo skalabilnost in elastičnost.As a relatively new technology, the Internet of Things (IoT) faces many challenges. IoT networks are characterized by a big number of devices. Each of the devices produces huge amount of events. Therefore, scalability is one of the key requirements of IoT applications. Cloud computing could help us achieve scalability by providing virtually unlimited resources. The microservices architecture is becoming increasingly popular for cloud deployments of applications. We often want to extract real-time information from the events that are coming from IoT devices. It would be harder to infer useful information from the enormous amount of raw events, if we store them in a database. Complex event processing enables us to analyze the events as the stream of events flows and to infer meaningful information from them in real time. To demonstrate all of this in practice, we developed an IoT application, which follows the principles of microservices architecture. It is able to simulate events, consume them, do complex event processing and display visualizations. In order to balance the load between the instances and achieve scalability and elasticity, the microservice which is consuming the events can be scaled up and scaled down

EEOC v. Waffle House, Inc.

Published in cooperation with the American Bar Association Section of Dispute Resolutio

Alien Registration- Naum, Jennie (Rockland, Knox County)

https://digitalmaine.com/alien_docs/14880/thumbnail.jp

Collecting curiosities : Eighteenth-century Museum Stobaeanum and the development of ethnographic collections in the nineteenth century

In 1735, professor Kilian Stobaeus donated his collections to Lund University laying the foundation for the university’s first museum. The ”Museum Stobaeanum” contained over 3000 natural history, historical and ethnographic objects typical of the cabinets of curiosity. This richly illustrated book is the first comprehensive history of these collections.Eighteen chapters, written by an interdisciplinary group of scholars, explore Stobaeus as a researcher and collector; the concept, organization and development of the museum through time; as well as the culture of collecting, including its scientific and symbolic meaning. The authors also investigate specific examples of museum objects: fossils, plants enclosed in a herbarium, a crocodile, seashells and insects, North American artefacts, an Egyptian mummy, coins and medals, the skull of Descartes, Guyana war clubs and ethnographic objects from the South Pacific.The book contributes to a better understanding of Stobaeus and his peers in their pursuit of knowledge through collecting as well as the complex processes that enabled early modern museums. On a broader level, it illuminates the global connections and intellectual environment of eighteenth-century Lund and Sweden