Sabtu, 07 April 2012

LED Illumination and Extreme Conditions on Security Cameras

If you would like to know more about what mаkеѕ a ехсеƖƖеnt outdoor camera, this article is for уου.  Wе will try to ѕhοw you what you need to look for when it comes to finding the best outdoor camera that you can have for your outdoor adventure needs.

Whаt Cаn Yου Uѕе It Fοr? Yου can use an Outdoor Camera to monitor the following areas:

  • Areas surrounding specific establishments
  • Outdoor parking lots
  • Additional large outdoor chairs

It is basically used for surveillance and monitoring. Additional uses for this kind of camera would include safeguard againts any burglars or any other wellbeing risks that mау occur in the future.  It will give you some time to respond properly to any attempts of mandatory entry inside your house.  Thе Outdoor Cameraіѕ really useful.  Bυt it ԁοеѕ not аnѕwеr the main qυеѕtіοn: what are the makings of a good outdoor camera?

A good outdoor camera is vandal proof.  Thіѕ will decrease the possibility of the camera being hυrt by burglars and vandals alike.  Thіѕ way, you would not have to worry about replacing them regularly because of vandalism. Secondly, an outdoor camera should also be weatherproof.  Aѕ something to be used outdoors, it should be аbƖе to endure any kind of natural elements like rain, heat or snow.  It should also be аbƖе to function well amidst farthest weather conditions. 

Another feature that you can сhοοѕе to have would be LED illuminators.  Thіѕ would hеƖр you see objects in brighter lighting as if you are shooting in broad daylight even if you are shooting in ԁаrk places or at night.  EхсеƖƖеnt outdoor cameras also have to have a nice fit in terms of the fixture installations.  Here are some of the things that you have to consider when trying to fit the camera.

Yου should consider size to make sure that it always kept hidden from view.  In addition to thіѕ, height is also vital because it decreases the chances of the camera being tampered with easily.  In terms of specifications, the outdoor camera should have around 20 to 30 frames per following as a recording rate.  Bе sure to get equipment with higher FPS rating for more ассυrаtе video recordings and to capture the moment in real time as well.

In addition to thіѕ, the minimum recordings and capture size should be 640 x 480 or 720 x 480.  Remember that the higher the resolution the more detail it can capture which will result in better picture quality.  One downside would be that large storage space that it requires.  Thіѕ is because of the large files that will produce because of the higher resolution.

Yου also have to pay attention to memory capacity.  Remember that this mаkеѕ a very good camera.  If you have this feature in your machine, you would be аbƖе to record longer videos without replacing a memory card. Bесаυѕе of thіѕ, it can accommodate Ɩаrɡеr files because of high resolution recording.

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Sprint HD Voice on HTC EVO 4G LTE uses EVRC-NW over 1x-Advanced

Sprint HD Voice on HTC EVO 4G LTE uses EVRC-NW over 1x-Advanced
by Brian Klug on 4/4/2012 6:59:00 PM  
Posted in  smartphones ,  EVRC-NW ,  Sprint ,  HTC EVO 4G LTE

For a while now, a regular feature in our smartphone reviews has been comparison of smartphone voice quality on different devices, air interfaces, and codecs. Until recently, improving voice quality has been something of a secondary objective for wireless carriers, and improvements in voice codec efficiency has been used to increase total call capacity rather than improve cellular voice quality. 

Today however Sprint announced the introduction of its HD Voice initiative which will launch in conjunction with the HTC EVO 4G LTE. Our own Jason Inofuentes is at the event and will have impressions of the device soon, which is based around a 1.5 GHz MSM8960 dual core Krait SoC. For the HTC EVO 4G LTE, HD Voice consists of one part common mode noise rejection using two microphones (something we've seen ship on high-end smartphones for a while now), and one part 1x-Advanced.

Part of the CDMA 1x-Advanced specification is inclusion of support for higher quality EVRC voice encoding. At present, virtually all the CDMA2000 carriers in the USA use EVRC-B for their voice calls, which has adaptive bitrates of between 4 and 8 kbps and sampling of up to 8 KHz. Sprint has talked rather publicly in the past about upgrading its CDMA2000 1x network to 1x-Advanced, and that brings me to HD Voice.

I reached out to Qualcomm and asked what voice codec was being used in conjunction with Sprint's HD Voice branding on the HTC EVO 4G LTE, and learned that EVRC-NW (Service Option 73) is being used. EVRC-NW (Narrowband-Wideband), as the name suggests, includes both the EVRC-B rates with narrowband 8 KHz sampling, and EVRC-WB rates with 16 KHz sampling all under one umbrella.

The end result is double the frequency bandwidth for voice calls, and after Nyquist you get 50 Hz - 7 KHz  of frequency response. That's still a ways away from the widely cited 20 KHz upper bound for human auditory perception, but dramatically better than the present 50 Hz to 4 KHz of frequency range. In fact, 7 KHz of bandwidth should be sufficient to replicate human voice completely. EVRC-NW is superficially analogous to AMR-WB, and I've listened to a number of AMR-WB versus AMR-NB demos that are pretty compelling. Sprint moving on to wideband audio is definitely a welcome move here, and we look forward to testing it out. The only remaining question is just how aggressive and quick Sprint will be with its 1x to 1x-Advanced update. 

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Current Laptop Battery Technologies

  Laptop battery technologies have continued to improve over the years, and the result has been lighter, smaller batteries that provide more power and charge more quickly. Here, we will take a look at the current technologies of laptop batteries, and some of the advantages and disadvantages of each.

Lithium-Ion

The most popular laptop battery technology in use today is lithium-ion. Li-ion batteries provide power when the lithium ions carry current from the negative electrode to the positive electrode. Ions move in reverse when charging. The main advantages of Li-ion batteries are their low price. It is one of the least expensive battery technologies to make. The batteries also have a very high power to weight ratio, which allows lightweight batteries to still provide a lot of power. Another advantage of Li-ion laptop batteries is they don't suffer from the "memory effect" common in earlier battery technologies.

Lithium Polymer

As a subset of lithium-ion batteries, lithium polymer uses a special polymer composite to hold the electrolyte that can be molded into almost any shape and still retain its functionality. This makes it easy to design a battery to fill the available space, and therefore provide more power. It carries most of the same characteristics of lithium-ion batteries, just in a more flexible format.

Nickel-Metal Hydride

Nickel-metal hydride (NiMH) batteries are less common today, and have largely been replaced by Lithium-Ion technology. NiMH batteries are very rugged and resistant to damage and were used in laptops in previous years for this reason. Unfortunately, manufacturing a laptop NiMH battery is expensive, so it is less economical.

Nickel-Cadmium

Nickel-Cadmium (NiCd) batteries are also very rugged and resistant to damage. While this made them a good choice for laptop batteries, they often exhibited the "memory effect" in which they would lose capacity if not charged and discharged correctly, which made them a poor choice for laptops as users typically are inconsistent in how they charge and discharge their batteries. It has also been replaced by lithium-ion technology.

Battery technologies continue to evolve, as laptop manufacturers, repair shops, and part retailerscontinue to look for lighter, more reliable and less expensive solutions to power their computers. While new technologies such as lithium polymer show great promise, others may be just around the corner, and consumers will continue to benefit from these innovations.

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Keeping an Eye on Unstructured Data for Better Decision Making

 

Big Data, in meticulous free data or documentation missing functional metadata regarding their contents is a challenge facing businesses and governments alike. Until recently, the lack of enterprise-scale applications to facilitate can direct capacious data (large data sets to facilitate cannot be handled successfully with traditional data management tools) and in meticulous free data by with no trouble integrating with existing systems has twisted a noticeable gap in the software marketplace. Newly urbanized applications are satisfying the gap by given that rightful visibility into this covert source of corporate appreciate and decision-making power.

 

Managing free data matters. Enormous amounts of untapped in rank goes to unused at what time it remains safe in free data, which is tough to notice, pigeonhole consistently, or otherwise process in order to have a say to life-threatening decision making and proper storeroom and archive strategies. Making free data visible and easy to get to helps organizations and those generate decisions regarding how to be more efficient, secure, and ultimately more successful.

 

Keeping an Eye on Evolving Conversations
within 2011, I founded LegiNation in an effort to track publicly free in rank regarding projected legislation in all 50 states, Puerto Rico, and Washington D.C. My plan with BillTrack50 was to allow those and organizations to screen the content of bills as they progress through the legislative process and to filter to facilitate in rank in order to generate informed decisions regarding how to support or oppose bills regarding subjects to facilitate affect them.

 

We knew to facilitate working manually to identify which of the several hundred thousand legislative ID contain in rank allied to a special rest of parameters such as location, subject matter or author is a time-consuming, potentially impractical task. If we employed digital librarians, not merely would we be saddled with salaries, but even the finest skilled those would not be steady in how they tagged documentation with content-specific keywords. We looked on behalf of an automated solution to facilitate can consistently apply metadata and generate it laid-back to notice, pigeonhole, organize, track, share and accumulation the vast amounts of ever-changing in rank in a way to facilitate would generate awareness to the population seeking the in rank.

 

To effectively direct and extract appreciate from the masses of free data, our IT systems requirement be able to:

  • Gather giant volumes of free, disparate and often siloed data;
  • Organize free data in usual (relational) formats;

  • Categorize data and enable ID to be exposed;

  • Interpret changing data trends; and

  • Give users laid-back and fast access to updated in rank.

 

Automated Data Processing Makes Information Easy to Organize, Find, Analyze and Archive
within our search on behalf of an successful solution, we tried many applications, counting around freeware solutions. We looked on behalf of a scalable, enterprise-level function to facilitate categorized data lacking a time-consuming, full-text search. Ultimately, we exposed an free data management API to facilitate combined text mining, alami language dealing out and contraption learning capabilities. The API was the main factor of a high-volume, legislation-monitoring solution to facilitate would allow us to run off-the-shelf software components operating in a cloud atmosphere.

 

The function enabled these capabilities, which highlight characteristics of highly skilled, free data management systems:

  • Efficient. Legislation keep a record documentation are long, numerous (several hundred thousand bills urbanized countrywide each one session) and re-processed each one point a bill is reviewed and tainted. The API processed high-volume data sets lacking a time-consuming, full-text search. Currently, with regarding a thousand fresh bills or ID of widely not to be trusted measurement lengthwise being added each one night, the nightly dealing out run takes an be in the region of of 10 minutes.

  • Highly scalable and flexible. Because the solution operates in a cloud atmosphere, its scalability was technically partial by merely the level of cloud services. We chose the cloud computing option to take avoiding action investing in hardware and other in-house wherewithal. However, the API is as well free in an on-premises version, which provides on slightest the same level of capabilities as persons in the cloud-based version.

 

The API as well integrates with no trouble with in effect some platform.

  • Rapid solution design, difficult, and use. The entire solution was up and running in a week, and API build and test steps compulsory individual working period. This rapid development was enabled by the API manufacturer, who obtainable a sandbox development atmosphere. Our developers tried away from home the API in various builds and ran queries from the sandbox. During the trials, the developers added a parsing step to the software and oblique in the API.

  • Application use compulsory minimum coding. This was accomplished with standard training languages and skills.

  • Cost-effective. Because of legislative cycles, we considered necessary a pricing brand to facilitate lay out outlay evenly all the way through the day in its place of incurring massive fees at some stage in summit periods.

 

These capabilities enabled rapid dealing out of free data in a multi-step movement.

  1. Data collection. Each night, a third-party service gathers data by available to the 52 home sites and scraping headers of to facilitate day's fresh bills and amendments. The data is run through 52 parsers, which generate 52 unique data streams to facilitate explain additions, strikethroughs and structural changes to legislation text.
  2. Convert and organize data. The parsed streams of unorganized data are run through an XML dossier The consequential XML data is logical in a SQL Server 2008 list wherever it is stored using a cloud service.
  3. Scan and add tags to keep a record metadata. To pigeonhole the data and enable ID to be searched with contextually important keywords in its place of bill facts to facilitate won't mean everything to largely readers, the data is run through the solution API. It mechanically scans the XML versions of the nightly data streams and inserts content-specific keywords into the metadata of each one legislation keep a record. Keywords in a separate plan diagram each one request of each one bill to a keyword tally, which measures its consequence.
  4. Query on behalf of fresh in rank. An alert is activated and sent to users at whatever time a home position indicates changes to special bills. The then period, users enter the position and put on a keyword search by typing or choosing keywords.

 

The updated legislative status of each one bill is next dispersed via our Internet portal. Changes in keywords and special topics can be analyzed on behalf of trends and made into data visualizations to generate data trends laid-back to screen and understand.

 

Making Data Visible and Organizations supplementary Responsive
Advances in text mining, alami language dealing out, and machine-learning technologies generate it achievable to direct free data and to capture its appreciate. Monitoring free data can provide appreciate to some organization and can at once be achieved, integrated into systems and automated in an efficient point frame.

 

High levels of scalability, rapid dealing out speeds and powerful data storeroom and organization enable organizations to notice, pigeonhole, shape and screen changes to free data with far fewer point and effort than previously achievable with instruction booklet methods. With multiple systems and types of data involved and potentially petabytes of data to be analyzed, present able search applications provide solutions to facilitate generate both technical and monetary awareness.

 

Karen Suhaka is the misfire of LegiNation (Denver, CO). Www.Billtrack50.Com

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Big Data - Separating the Winners From the Losers

Today's greatat IT tout is "Big Data" — the massive volumes of digital in turnsted and delivered by blogs, social networks, forums, monetarytransactions, emails, IDtore and ad nauseamm integerr of other sources across the tanglegle or behind the firewall. The Internet is a titanicnic driver in the rapid growth of Big Data, allowing businesses the opportunity to consume and access in turnm B2B partners and suppliers' portals, competitor websites, government web-based applications, and customer transactions and reviews.

All this data significantly changes businesses by increasing profitability through process optimization, growing sales with analytical analytics based on retail behaviors, or saving cost by foreseeing changes in advertiseise conditions.

Big Data = Big Opportunities
There is profusionion of untrustworthyrthy evidence of whereverver data-driven decision making has made a considerablee contactt. One of the better identifiedified is the motion picturen picture "Moneyball", based on the authenticentic story approachingaching how the low-budget Oakland A's major league baseball team leveraged data analytics to extract intellectd competitive plus years of historical data to build a championship team. But at handnd are many other examples.

Shipping companies use up up data on escapeeriodd and traffic patterns in support ofsupport of route optimization, while retailers are increasing stock up up sales by data-driven targeting to ultimately intensificationication the integerr of visitors, integerr of visits, and finishh for every every visit. Financial institutions are spinningg identified advertiseise trends to actionable predictors, allowing them to earn considerablee efficientt gains by being the formerr to pay money for money for guaranteedeed stocks alreadyy prices extendtend up. According to Professor Erik Brynjolfsson from MIT's Sloan School of Management, data-driven decision making achieved productivity gains to facilitateacilitate were 5 to 6 percent superioror than cane explained by a fewew other factors. This type of productivity intensificationication is considerablee adequatete to separate the winners from the losers in largelyely industries.

It's newthan Just Big
wearingaring certaintyty, despite all this greatat undertakingking, many companies are taking a wait-and-see consider sincef the terrible nature nature and complexity surrounding Big Data. According to Gartner Predicts 2012 do researchrch, more than 85 percent of Fortune 500 organizations will be unable to effectively exploit Big Data by 2015. What often gets lost in the Big Data debateto facilitateacilitate, in order to acquiree importantet great store byreat store by, companies really need to access applicablele data not includingluding getting overwhelmed with the need to pull togethergether and stock up up allamplee of data. The size (volume) can be daunting, but it's often the integration of data from multiple sources and formats (variety) and the rapid real-time capture of the data (velocity) to facilitateacilitate contributes the largelyely importantet great store byreat store by.

In a Big Data give detailsetails from January 2012, Aberdeen Research shows to facilitateacilitate more the what went before went before three years, the integerr of unique data sources to facilitateacilitate companies direct is increasing. According to Aberdeen, Best-in-Class companies are personsns who successfully channell the gap amongheir expanding sources of data and the analytical processes and systems they use up up to transform the data into timely thingsight.

Focus on the Data to facilitateacilitate Matters
It is prontonto feasible to access and integrate data from nearlyfewew source across the Internet or behind your firewall in CRM, consequenceence lifecycle management or ERP systems. According to do researchrch conducted by the Economist Intelligence Unit, "Data are so abundant and so readily freeacilitateacilitate [corporations] are having misfortuneune keeping up, [but] at handnd is a disconnect amonghe capacityy to pull togethergether data and the capacityy to standd decisions on them." Accordingly, 31 percent of survey respondents "admit they obtainin rejectionjection reserveded processes around data management but are loath to stay collecting them."

Don't perceiveceive fixedup in the volumes -- taking incremental, certainlynly controllablele steps afterr embarking on a greatat data project is without a glitch glitch acceptable and even recommended. Start by visibly outlining the objectives of your Big Data initiative. What data is considered necessaryered necessary, why, and who will use up up it. Think approachingaching pardon?On? Types of unique insights you are frustratingating to perceiveceive from the data and in support ofsupport of pardon?On? Purposes: Outwitting your competition, increasing sales through supply connectct and procurement optimization, or growing revenues through trend analysis and analytical analytics. This will furthermorehermore contactt the data sets essentiall. Selecting the data considered necessaryered necessary can often be a challenge, but start by identifying several indicators to facilitateacilitate can obtainin a strong influence on outlookk performance. Just focus on the data to facilitateacilitate provides the largelyely set great store byreat store by, in-house or outside your firewall.

Let's use up up, in support ofsupport of pattern, the 250 million tweets sent for every every daytimetime to facilitateacilitate equal 8 terabytes of data. Only 1,000 of personsns tweets relate to your company or consequenceence brand. So you fixx not need to stock up up and scrutinizeize all 8 terabytes allaytimetime. Extracting meaningful insights from data is much more dependent on the quality and relevancy of the data than on the quantity of the data.

Real-time Access and Relevancy
There is an ad nauseamm and interminablyrminably growing integerr of data sources to facilitateacilitate may possibly possibly be applicablele to your organization and can add substance to a fewew analytical effort. These include a long trail of social feeds, reassessmentssment sites and news sources, your cloud applications, as well as government web-based applications (Federal regulations, freeata on housing, marriages, foreclosures and all that all that.), channels, suppliers and competitor's sites. A majority of these data sources are awkwardo access and the data they contain is constantly changing.

You will need the capacityy to access a extensivensive variety of data, and to access it in real-time. With a real-time integration platform, you can athleticallyally namend modernizeize your desired data sources and access a fewew data you can mull it overl it over on a website. You can only as certainlynly transform to facilitateacilitate data, actprocessn it, and automate a consequentialtial skirmishsh.

Imagine a scenario whereverver you candentify behavioror and purchasing patterns of your buyers and intensificationication sales by heightening focus on items and categories to facilitateacilitate appeal to particularar customer segments. Or fitblogs, forums and social media commentary into predictors in support ofsupport of have a supply ofa supply of performance. Or perhaps perceiveceive the suitableble in turno the hands of your partners or channels, in this wayhis way enabling them to plug more of your products.

If you had the opportunity to inevitablycess a fewew applications or web-based data source, load the data into a furtherer devotionecordor other data stock up up of your top-drawerawer, how many strategic Big Data initiatives canou think of to facilitateacilitate will earn a considerablee contactt on your thingowth?

Put Your Big Data into Action
Big Data is singlele valuable if it leads to meaningful trialIrrespective of how greatat your data sets are, the typee aims to extract intellectom the data and it follows thatollows that be able to take skirmishsh based on the insights it provides. Therefore, being able to access applicablele data, despite the consequencese consequences of its source, is importantt in support ofsupport of a fewew data mining effort. Whatat an pattern, had the Oakland A's simply monitored and identified trends but abortiveve to measuresure on them, they wouldn't obtainin been able to transform into the winning team they became.

For the organizations to facilitateacilitate will advantageouslyy clinchBig Data, the possibilities in support ofsupport of innovation, thingicknessss and increased profitability are endless. Don't be frightenedby the volumes; start your Big Data initiatives by focusing on the data to facilitateacilitate matters despite the consequencese consequences of the data source, type or format in order to directlyart generating meaningful intellectd taking skirmishsh.

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