GPS collars are more efficient when collecting high-frequency data

Selecting an appropriate fix schedule has a pivotal role when using GPS collars. On the basis of deployments of GPS collars on 35 cats, we report on an often overlooked consideration: that GPS units are more efficient collecting data at high frequencies (15 min between fixes in this study) than low frequencies (>2 h between fixes).

Download Full-text

Around-the-Clock USD/MXN Volatility: Macroeconomic Announcement Spillovers and FX Market Intervention Mechanisms

10.36095/banxico/di.2021.05 ◽

2021 ◽

Author(s):

Wilfrido Jurado Pedroza

Keyword(s):

Federal Reserve ◽

High Frequency ◽

High Frequency Data ◽

Frequency Data ◽

High Frequencies ◽

Macroeconomic Announcements ◽

Market Intervention ◽

Mexican Peso ◽

Fx Market ◽

The U.S

This paper advances the literature on the dynamics of the U.S. Dollar-Mexican Peso (USD/MXN) volatility process by leveraging high-frequency data. First, it documents the factors that characterize the intraday volatility process of the USD/MXN exchange rate at high frequencies based on a sample of five-minute returns from 2008 to 2017. Second, it empirically identifies the effects and the relative impact on the USD/MXN volatility process of various macroeconomic announcements, at different frequencies. The results conclude that the most impactful releases are associated with the monetary policy announcements by the Federal Reserve and Banco de México, together with the publication of some U.S. and China macroeconomic data. Furthermore, the results suggest that the different mechanisms implemented by Mexico's FX Commission have accomplished their objective of stabilizing the volatility of the USD/MXN.

Download Full-text

Shake, Rattle, and Roll

Mechanical Engineering ◽

10.1115/1.2001-nov-2 ◽

2001 ◽

Vol 123 (11) ◽

pp. 56-58

Author(s):

John DeGaspari

Keyword(s):

High Frequency ◽

Low Frequency ◽

High Frequency Data ◽

Frequency Data ◽

Low Frequencies ◽

Mems Accelerometer ◽

Running Shoes ◽

Low Costs ◽

New Applications ◽

Thin Reservoir

This article highlights that airbag has been a boon to MEMS business. Sales of the tiny accelerometers that sense when the bags should deploy have helped to drive down prices significantly since the devices were first implemented. Now, the high volumes, low costs, and dependable performance of micro devices are opening the way to new applications. Sneaker companies are looking at MEMS accelerometers in running shoes to act as speedometers of sorts. Advantage of the MEMS accelerometer is that it has a wide bandwidth, capable of reading high as well as low frequencies. High-frequency data provides information about thin reservoir zones, faults, and changes that are taking place as fluids are being drained from pores in the rock, said Denver. Higher frequency signals are critical to accurate interpretation. Low-frequency signals are useful in identifying the type of rock, be it sandstone, shale, or carbonate, for example. The VectorSeis is as rugged as a conventional geophone and can be successfully deployed in down-hole environments to get a closer reading of a reservoir.

Download Full-text

A Characterization of the Diffuse Galactic Emissions in the Anticenter of the Galaxy

Advances in Astronomy ◽

10.1155/2013/746020 ◽

2013 ◽

Vol 2013 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

L. Fauvet ◽

J. F. Macías-Pérez ◽

S. R. Hildebrandt ◽

F.-X. Désert

Keyword(s):

High Frequency ◽

High Frequency Data ◽

Electromagnetic Spectrum ◽

Frequency Data ◽

Low Frequencies ◽

The Galaxy ◽

Dust Component ◽

Wmap Data ◽

Diffuse Emissions

Using the Archeops and WMAP data, we perform a study of the anticenter Galactic diffuse emissions—thermal dust, synchrotron, free-free, and anomalous emissions—at degree scales. The high-frequency data are used to infer the thermal dust electromagnetic spectrum and spatial distribution allowing us to precisely subtract this component at lower frequencies. After subtraction of the thermal dust component, a mixture of standard synchrotron and free-free emissions does not account for the residuals at these low frequencies. Including the all-sky 408 MHz Haslam data we find evidence for anomalous emission with a spectral index of −2.5 in units. However, we are not able to provide coclusion regarding the nature of this anomalous emission in this region. For this purpose, data between 408 MHz and 20 GHz covering the same sky region are needed.

Download Full-text