Information You Can Get From A Reverse Phone Search Database

For a few years, since the spread of caller identification and text messaging it has been typical to not respond to a phone call when it is from someone who you don't know. Today, determining the owner of the unfamiliar number is simple if you use reverse cell phone lookup services.

Private land line and smartphone numbers aren't included in phone books since they're private. You can only find them using reverse phone lookup services. Luckily, these reverse lookup services permit the public to research any telephone number, even private landlines and mobile phones.

Within 5 minutes of reading this article and following the steps below you will be able to find out exactly who any number belongs to. When you do a reverse cell phone lookup you will find important identifying information such as:

any other phone numbers that the owner has registered in their namethe phone owner's full address, name and possibly the names of their family memberssometimes the report even includes the phone owner's annual household income

Before you decide to pay for any information, you should first get some useful info for free. Below is what you can for free:

You can find out where, within a 50 mile radius, the phone is registered. You can find out if the phone is a cell or a land line and you will be shown if there is more information in the database about that particular phone number. You can then decide if you want to purchase the additional information.

If you are getting phone calls that you want to have stopped the first step is identifying the person who is calling you. Reverse cell phone lookup directories are the solution to most problems regarding strange phone calls.

There is a cost associated with getting the personal information of a caller. Luckily, the price is very low considering the kind of private data you will be getting.

The cost for a single lookup is a one-time fee of $15. A year-long subscription for $45 allows you to make an unlimited number of searches for an entire year.

These are the same databases that are used by the police and private investigators, so you know they must be high quality. The instant search results can be crossed with almost any number entered into the system to help you get more info. Besides just the owner's location you can get a large amount of information out of these databases.

While doing your investigation, you have to make sure that you only work the most reputable reverse cell phone lookup databases. You will know that a directory is reputable when it offers a 100% money back guarantee.

This part is important, so pay attention.

I have done the work for you and found the four best reverse phone search directories. These are the same databases that police and private investigators use and they give you a 100% money back guarantee. If you live north of the border, you can do a reverse phone lookup in Canada.

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More powerful supercomputers? New device could bring optical information processing

Researchers have created a new type of optical device small enough to fit millions on a computer chip that could lead to faster, more powerful information processing and supercomputers.

The "passive optical diode" is made from two tiny silicon rings measuring 10 microns in diameter, or about one-tenth the width of a human hair. Unlike other optical diodes, it does not require external assistance to transmit signals and can be readily integrated into computer chips.

The diode is capable of "nonreciprocal transmission," meaning it transmits signals in only one direction, making it capable of information processing, said Minghao Qi (pronounced Chee), an associate professor of electrical and computer engineering at Purdue University.

"This one-way transmission is the most fundamental part of a logic circuit, so our diodes open the door to optical information processing," said Qi, working with a team also led by Andrew Weiner, Purdue's Scifres Family Distinguished Professor of Electrical and Computer Engineering.

The diodes are described in a paper to be published online Dec. 22 in the journal Science. The paper was written by graduate students Li Fan, Jian Wang, Leo Varghese, Hao Shen and Ben Niu, research associate Yi Xuan, and Weiner and Qi.

Although fiberoptic cables are instrumental in transmitting large quantities of data across oceans and continents, information processing is slowed and the data are susceptible to cyberattack when optical signals must be translated into electronic signals for use in computers, and vice versa.

"This translation requires expensive equipment," Wang said. "What you'd rather be able to do is plug the fiber directly into computers with no translation needed, and then you get a lot of bandwidth and security."

Electronic diodes constitute critical junctions in transistors and help enable integrated circuits to switch on and off and to process information. The new optical diodes are compatible with industry manufacturing processes for complementary metal-oxide-semiconductors, or CMOS, used to produce computer chips, Fan said.

"These diodes are very compact, and they have other attributes that make them attractive as a potential component for future photonic information processing chips," she said.

The new optical diodes could make for faster and more secure information processing by eliminating the need for this translation. The devices, which are nearly ready for commercialization, also could lead to faster, more powerful supercomputers by using them to connect numerous processors together.

"The major factor limiting supercomputers today is the speed and bandwidth of communication between the individual superchips in the system," Varghese said. "Our optical diode may be a component in optical interconnect systems that could eliminate such a bottleneck."

Infrared light from a laser at telecommunication wavelength goes through an optical fiber and is guided by a microstructure called a waveguide. It then passes sequentially through two silicon rings and undergoes "nonlinear interaction" while inside the tiny rings. Depending on which ring the light enters first, it will either pass in the forward direction or be dissipated in the backward direction, making for one-way transmission. The rings can be tuned by heating them using a "microheater," which changes the wavelengths at which they transmit, making it possible to handle a broad frequency range.

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The above story is reprinted from materials provided by Purdue University. The original article was written by Emil Venere.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.

Journal Reference:

Li Fan, Jian Wang, Leo T. Varghese, Hao Shen, Ben Niu, Yi Xuan, Andrew M. Weiner, and Minghao Qi. An All-Silicon Passive Optical Diode. Science, December 22, 2011 DOI: 10.1126/science.1214383

Note: If no author is given, the source is cited instead.

Disclaimer: Views expressed in this article do not necessarily reflect those of ScienceDaily or its staff.

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New computer technologies shown to expose personal information

 A combination of facial recognition software, cloud computing and social networking can be used to learn individuals' identities from photographs (Photo: Yago Veith via Flickr)

Facial recognition software, social networking and cloud computing ... they're all technological advances that alone have thrown up questions regarding privacy. According to a recent Carnegie Mellon University study, however, the three technologies can be combined to learn peoples' identities and other personal information about them, starting with just a photograph of their face.

"A person's face is the veritable link between her offline and online identities," said Alessandro Acquisti, associate professor of information technology and public policy, and leader of the study. "When we share tagged photos of ourselves online, it becomes possible for others to link our face to our names in situations where we would normally expect anonymity."

Acquisti's team used "off-the-shelf" PittPatt face recognition software, cloud computing, and publicly-accessible information from social networking sites to identify individuals based both on photographs posted online, and on photos that the researchers took themselves in the real world.

In one experiment, they were able to accurately identify people whose pictures were posted on an online dating service, where the members only use pseudonyms to identify themselves. In a second experiment, they were able to identify students walking on the campus grounds, by taking photographs of them, then matching those up with their Facebook profile photos.

In a third experiment, they were able to predict personal interests and in some cases even the first five digits of the social security numbers of students, starting with nothing but a photograph. Apparently, knowing a student's date and place of birth was sufficient to guess their social security number "with great accuracy."

Overall, they were able to identify about one third of the people whose photos they analyzed.

The Carnegie Mellon team even created a one-off augmented reality smartphone app that displayed personal information about individuals in real time, as the phone's camera was trained on their face.

"The seamless merging of online and offline data that face recognition and social media make possible raises the issue of what privacy will mean in an augmented reality world," said Acquisti.

His team's findings will be presented this Thursday at the Black Hat Briefings security conference in Las Vegas.

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