Mstar Isp Utility Lg Download Software

The mStar-AR and the mView software, a comprehensive package of applications that collect data and program the meters, comprise part of a metering system that offers new ways of collecting customer energy usage information remotely, as well as communicates electronically with utility customers via the mVision, an in-home display that allows the consumer to play an active role in managing, budgeting, and monitoring energy consumption.

It also has the option to communicate via an optical port for direct computer or hand-held reader communication, and via serial connections. This communications flexibility positions mStar-AR as the ideal meter for advanced programs, and opens a vista of opportunities for utility projects ranging from optical fiber networks and hybrid fiber coaxial, to broadband gateways. The mStar-AR can provide remote control of customer power, tariff period recording, automatic system updating, alarm monitoring, and multiple-level password protection. Another unique feature of the mStar-AR is the short hop radio frequency technology for simultaneous gas and water metering.

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The mVision display unit is an inexpensive interface unit that sends utility messages to the customer about special rates, peak hours, kilowatt-hour (kWh) usage, total kWh on meter, value of kWh budget, present power consumption, present tariff period, and can alert the consumer when rates begin to climb over the allotted budget for the month, letting the consumer know to conserve energy throughout the home. mVision also displays the date, time, and temperature (at the mVision location). The mVision is an important asset to utilities, as deregulation calls for utilities to offer innovative solutions to consumers and as the need for consumer involvement with the management of energy usage increases.

That's where risk-adjusted returns come in. There are several ways to calculate risk-adjusted returns, but the general idea is to show how a fund's performance relates to the degree of risk it takes on. Morningstar's risk-adjusted return approach is based on something called "expected utility theory," which assumes that the typical investor is risk-averse and willing to give up part of the return on an investment for greater certainty about that return. Risk-adjusted returns are the underpinning for the Morningstar Rating for funds (otherwise known as the star rating). Other metrics, such as the Sharpe ratio, also attempt to depict risk-adjusted returns.

Properly installed insulation that meets or exceeds national code requirements helps achieve even temperatures throughout the house while using less energy. The result is lower utility costs and a quieter, more comfortable home.

More efficient and properly sized heating and cooling systems use less energy, reducing utility bills. These systems also turn on and off less frequently, removing more humidity and providing better comfort.

Scattering from man-made objects in SAR imagery exhibits aspect and frequency dependencies which are not well modeled by standard SAR imaging techniques. If ignored, these deviations will reduce recognition performance due to the model mismatch, but when appropriately accounted for, these deviations from the ideal point scattering model can be exploited as attributes to better distinguish scatterers and their respective targets. With this premise in mind, we have developed an efficient modeling framework that incorporates scatterer anisotropy. One of the products of our analysis is the assignment of an anisotropy label to each scatterer conveying the degree of anisotropy. Anisotropic behavior is commonly predicted for geometric scatterers (scatterers with a simple geometric structure), but it may also arise from volumetric scatterers (random arrangements of interfering point scatterers). Analysis of anisotropy arising from these two modalities shows a clear source-dependent relationship between the anisotropy classification and parameters of the scatterer. In particular, the degree of anisotropy is closely related to the size of the scatterer, and increasing the aperture size reduces the incidence of volumetric anisotropy but preserves the detection rate for geometric anisotropy. This result helps to address the question in the SAR community regarding the utility of wide-aperture SAR data for ATR since wide-aperture data reveals geometric anisotropy while resolving volumetric anisotropy into individual isotropic scatterers. be457b7860