amazon smartphone details exposed
Citigroup said in a research note that it believes the Seattle-based online retail giant designs to launch a smartphone next year.
Amazon, which began shipping a tablet computer last week, may be eyeing the smartphone market.
Foxconn is now jointly developing the phone with Amazon, Mahaney said, & it will be manufactured by Hon Hai’s TMS business group, which makes Amazon’s Kindle electronic book reader & Kindle Fire tablet.
“Based on our supply chain channel checks in Asia led by Kevin Chang, Citi’s Taipei-based hardware research analyst, they think an Amazon Smartphone will be launched in 4Q12″ Citigroup analyst Mark Mahaney said.
With the clear success of the Kindle e-reader over the past years, & Kindle Fire possibly succeeding in the low-priced tablet market, they view this as the next logical step for Amazon.
The Citigroup analysts said they think the Amazon smartphone will use an OMAP four processor from New york Instruments & would cost Amazon around $150 to $170 to make.
The Kindle Fire sells for $199, less than half the cost of the least pricey iPad from Apple. According to Amazon, the Fire is already the bestselling item across all of Amazon.com
toshiba developes circuit techniques for embedded SRAM
Toshiba Corp has developed circuit techniques for embedded SRAM that operate in a wide supply voltage range, from 0.5V to one.0V, that effectively contribute to lower power consumption through electronic devices.
The test chip fabricated employs new techniques to ensure proper operation of SRAM even when the operating voltage is different. Additionally, cell failure rate will be reduced and operation itself has increased its speed. Toshiba has demonstrated these techniques in a 40nm 2Mb SRAM check chip at 0.5V operation.
Embedded SRAM in LSI for mobile equipment have multiple cells for information storage and should accomplish stable performance even if cell characteristics vary. Traditional SRAM techniques employ wordline choice signals for read/write operations. As operating conditions, such as transistor thresholds, temperature & voltage, vary, the optimum wordline voltage at which SRAM cells properly operate also changes.
Toshiba’s new circuit process predicts SRAM cell failure rate in actual time & automatically programs wordline voltage so that the cell memory is retained even when operating conditions vary. The result is a reduction in the cell failure rate to one-hundredth that of conventional SRAM. This new circuit process also eliminates the necessity to program the wordline level voltage chip by chip, which conventional SRAM requires
Online Check Out
I still think the video is quite hilarious but wrong in so many ways. If you were the store manager I’m sure you would interfere and make sure that this would never happen again – that is only because you can see what is going on in your store during the payment process.
Unfortunately that is not the case when this happens online. That is where Google Analytics comes really handy, where we can actually monitor every transaction and the user interaction with the sites’ check out process. We can monitor the above mentioned activity by implementing event tracking, setting up the goals and investigate the browser performance.
Event Tracking: The beauty about the Event Tracking is that it can track the errors that the users experience while going through the payment process, although it needs some additional JavaScript. Continuous analysing/testing/modifying the payment process can make the user experience a lot better.
Goals and Funnels: I’m not going to talk blah blah that Google Analytics can track up 20 goals, but what is important that the goals can be used to track these events or to be set up to be part of a conversion funnel or to be part of each step of the check out process. This will give us a good idea about the top exit pages and therefore the knowledge to identify/analyse/re-test/implement a solution to the problem.
Browser Performance: Monitoring browser performance can also provide us valuable information as to which browser converts better etc. and address any issues- for instance why one browser converts better than the other one etc. etc. Obvious J






