Raspberry Pi gets 6x the power, 2x the memory and still costs $35

IoT is blue and taste like raspberry…infinitly!


Makers, academics and generally anyone who likes to play with computers: get ready for some awesomesauce. Raspberry Pis, the tiny Linux computers that currently sell for $35 are getting a makeover that will double their compute power and memory while still keeping their price the same.

The Pi 2 boards will be available today, and Pi creator and CEO of Raspberry Pi (Trading) Ltd. Eben Upton says the organization has already built 100,000 units, so buyers shouldn’t have to wait like they did at the original Pi launch. The Pi 2 will have the following specs:

  • SoC : Broadcom BCM2836 (CPU, GPU, DSP, SDRAM, and single USB port)
  • CPU: 900 MHz quad-core ARM Cortex A7 (ARMv7 instruction set)
  • GPU: Broadcom VideoCore IV @ 250 MHz, OpenGL ES 2.0 (24 GFLOPS), 1080p30 MPEG-2 and VC-1 decoder (with license), 1080p30 h.264/MPEG-4 AVC high-profile decoder and encoder
  • Memory: 1 GB (shared…

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Resource_Wikipedia_”Kansei Engineering”

Look foward to kanseikougaku.com!

Dart491_Angela_Design_Ethos_ Blog

Kansei Engineering (Japanese: 感性工学 kansei kougaku, sense engineering) is a method for translating feelings and impressions into product parameters, invented in the 1970s by Professor Mitsuo Nagamachi (Dean of Hiroshima International University). Kansei Engineering can “measure” the feelings and shows the relationship to certain product properties. In consequence, products can be designed to bring forward the intended feeling.

It has now been adopted as one of the topics for professional development by the Royal Statistical Society.

Kansei engineering was used for the first time in America by the Mazda Motor Company. The Kansei engineering began with sensory or sensitivity engineering at the starting point. However, current Kansei engineering is the trans-disciplinary engineering that extends over the humanities, social science and natural science. Kansei engineering has a purpose, a structure and a function. Namely, the purpose is realization of rich society, the structure is a…

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Who is CaptainVO?

About me!

I am Chief Technologist & CEO at Virtual Object, my passion is technology, but most, is how humans use it, how their lives and behaviors change by it. I found that the ever-increasing velocity of advancements on the technology timeline is truly addictive. In the last 35 years I came across a lot of people’s, some that could not cope with that frenzy and other, like me, got the need for it, the need for speed!

Most Peoples claim their self has savvy when they describe their relations with technology, this sound to comfy cozy for me. I am technology edgy, the zone where things going so fast that only the humbles can live in so much well-known incompetency’s, and the savviness of domains is the cornerstone of innovations to come. I am technology agile, not the kind of agility drop on a marketer presentation deck, here, I talk the agility of courage, courage to change course rapidly if you’re wrong, courage to drop shields and travel lite and fast toward an achievement. For me, agility is not a goal nor is it a methodology, is a way of being, a nature, and  be achieved only by people’s that put their ego in the footer. I am technology philanthropy, not the one that calculate only the short-term ROI before trading knowledge (probably richer, if I did! But certainly less happy!), but the one that leverage is community expertise assets. This is me in a nutshell!

About my writing!

If you’re reading me, you must know, that, English is not my born language. I strongly believe in continuous improvement approach as the only way for me to get closer to my readers community, helping me in my journey to master William Shakespeare language, is more than welcome! The choice of not putting any filters between me and you, is a choice of being who I am, instead of spinning who I am not!

Are you delusional? Here is a question worth asking…..

We all are at one point or another and some, more than other. Now, Marketing Entrepreneur can be the most delusional of all!  Indeed, some of them are very good at lying to themselves, they most do so in order to be convincing…. when facing absence of goods.
I am not talking about everyone in marketing here but, nevertheless, in some cases, some marketing automation operation use a MVP approach (Minimum Viable Product)  to nail sales and create for the investors, a  smokescreen for the next round.  This is just too bad!  You see, sometimes, in order to try to be the next big thing, some may choose to lie to, both customers and investors.  You gathered here that I am not talking about small white lies used in order to look good or simply look better.  No, I am talking about detrimental facts; the kinds of facts that would be a sure NO GO for investors or customers, if they knew about them.
Since knowledge is power, here is something that you should keep in mind in your business endeavors: Using a concierge MVP approach makes it easy to run things behind the scenes, while claiming agility, velocity and connectivity to customers and VC’s, and that just to verified the rational of the offering when the value of it, don’t worth the investment of developing it.
To make sure you are not falling in this trap, keep in mind to look at their product with a 360 view; do not hesitate to challenge them. A good way to do so is to walk them out of their demo choreography.  Anyone can drop a bunch of logos into a great looking modern application shell, but not all of them deliver when ask to walk their talk. Get away from the buzz words fest you may get serve: agility is not something to be said but something to be proven, right then and there – on the spot!   It is always better to be safe than to be sorry,  so, beware of some of the 3 or 4 weeks pilot programs that may be proposed to you, they could hide a hard reality.  The kind of reality where you pay them to learn and you pay, again, to use what they learn

In-Stream Big Data Processing

If you want to scale in real-Time marketing, stop using a transactional stack for behavioral data!

Highly Scalable Blog

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time.

At Grid Dynamics, we recently faced a necessity to build an in-stream data processing system that aimed to crunch about 8 billion events daily providing…

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