Although small and no bigger than a DVD Drive, the latest Lenovo ThinkCentre M93p is claimed to be one of the ideal alternative right choice for those who really want more mobility and portability are high for the existence of his desktop PC.

By relying on the reliability of Intel Core i7 processor until Haswell in it, a desktop PC with a thickness of only 34.5 mm is supposedly able to support reliable power on overall system performance.

In addition to providing a 64GB SSD as primary storage handalnya accurate solution, this mini desktop PC also has been providing storage options Solid State Hybrid Drive (SSHD) as the best alternative storage expansion.

The presence of USB slots “Always On” with RapidCharge feature makes it usable to recharge (charge) power devices even when the computer is turned off gadgets (sleep mode) even if, while you can use the optional VESA to attach to the back of a desktop computer to create such as all-in-one PC.

Concerning the price offered, a unit of mini desktop PC Lenovo ThinkCentre M93p is reportedly priced at 749 USD, equivalent to over 7.45 million dollars.

Opera, which is one of the leading providers of web browsers in the world, yesterday (24/7) through the official website has just released its latest infographic reports relating to one of its products namely Opera Mini which states, increasing the number of Opera Mini browser users in Indonesia are turning to the Android platform in mid-May 2012 to May 2013. This report shows the number of Android smartphone users in Indonesia are using the Opera Mini browser on the device.

At least that’s the conclusion of a report released by the Opera releases infographic “State of the Mobile Web Report”. In the report, there are some brief conclusions that can indicate the condition and situation of smartphone users in Indonesia in the use of web browsers – especially in the Opera Mobile web browsing on Android smartphone devices.

In the report mentions, after the number of smartphone users continues to rise in Indonesia, Opera Mini has recorded a growth of 182% of all smartphone platforms. Specifically for the Android platform, it turns out Opera Mini managed to increase the number of users up to 46% of the total increase of 189% over the past year.

Opera Mini in the report claims of the various options available browsers – especially on the Android platform, Opera Mini remains an option for some users with varied reasons. Many users assume the Opera Mini browser has been very familiar to many users of the service and the availability of data compression feature that is known to provide a faster cruising needs. In addition, Opera Mini is also recorded growth of data consumption on Android users who access the Opera Mini also grow up to 218%, this figure is much higher than the consumption data from other platforms.

Another conclusion is no less interesting is the report released by Opera Software stated, of the total amount of consumption data obtained, as many as 36% of consumption data obtained from access to a variety of popular social media sites such as Facebook, Twitter, and so forth, followed by sites such as e-commerce, media, and a variety of other websites that charge a percentage amount of the consumption data. Facebook specifically for social media, as much as 68% of users managed to “donate” the number of page views on the Opera Mini browser on their Android devices.

Compact and simple system that brought the Android platform turned out to have a role on the growth of Opera Mini users on the Google’s platform. It is believed by the release of Opera The report also stated that Android users in Indonesia using the Opera Mini browser surfing 83% more than users running Opera Mini on other smartphone devices.

Of the report may actually be concluded, that there is only reporting an increase in migration of users of Opera Mini for the Android platform that can be a concern, but also the condition of the mobile web users in Indonesia was enough to get special attention from the internet industry abroad. Of this report is also expected to become a benchmark for the industry in the internet world that Indonesia is arguably one of the market is important for the development of the internet industry in the whole world.

A new Android computer has just been rolled into the market. Computer named the JW-11 also comes with an ARM Cortex A9 Amlogic AMl8726 single-M3 core. In addition, this computer software also supports Android 4.0 or 4.1.

JW-11 is equipped with 1GB of RAM and a built-in internal memory. In addition, the computer also has a 2.5-inch drive bay that allows users to add storage capacity to a large number.

Although marketed with Android OS, the computer also was able to easily use the Linux OS. According to reports, there have been several user’s computer that includes a Linux OS on the JW-11.

Other features available on these computers include an HDMI port, built-in WiFi and USB 2.0 ports. There is also a SDHC card reader on the computer. Regarding prices, the JW-11 priced at 68 USD.

Boost Dependency Analyzer

I have something special to announce today. A tool I’ve build over the last 2 weeks, which allows to analyze the dependencies in boost. With boost 1.53 this spring, I had the idea to build this, but not the time, as I was busy writing a┬áseries over the Papers for Bristol. Back then I realized, how easy it could be to build such a tool, as the dependencies could be read & listed by boosts bcp tool. I already had a prototype for the graphpart from 2010. But lets have a look at the tool:

The tool is very easy to handle, it is based on the out of bcp, which is a tool coming with boost. Actually bcp can help you with ripping libraries out of boost, so that you don’t have to add all of boost to your repository when you would like to use smartpointers. But bcp also has a listing mode, where it only shows the dependencies thats whats my tool build up upon. Lets have a short look at the results, the dependencies of boost 1.54:

A few words on how to read this graph. The libraries in the middle of the “starshape” are the ones with the most dependencies, each line between the nodes is a dependency. A dependency can be one or multiple files. The graphlayout is not weighted.

How to

A short introduction on what you need to get this tool to run. First boost, as this tool is build to analyze boost. I’ve tested with some versions (1.49 – 1.54) of boost. You also need a version of bcp, which is quite easy to build (b2 tools/bcp). Then you simply need to start the tool, if BOOST_ROOT is set, the tool will try to read it, other wise you will be asked to choose the location of boost when clicking on Read dependencies. Next thing is selecting the location of bcp. That is the setup, and the tool will now run for some time. On my machine its 90 seconds to 2 minutes the analysis takes, it might be lot longer on yours, depending on how much cores you got. The tool will spawn for each boost library (~112) a bcp process, and analyze this output in a thread pool. After this is done, the data is loaded into the tool, and then saved to a SQLITE database, which will be used if you start the tool a second time and select this version of boost. Loading from the database is far faster.

A screenshot to illustrate this:

tl_files/blog/bda/bda.png

To the left are all the boost libraries, the number of dependencies is shown in the braces. To the right is a Tabwidget showing all the dependencies, the graph is layouted with boost graph. When you click on show all you’ll get the full view of all dependencies in boost. The layouting is done in the background, so this will take some time to calculate, and is animated when its done. The results of the layouting are good, but not perfect, so that you might have to move some nodes. Exporting supports images, which are transparent PNGs, not all services/tools are happy with that (f.e. facebook, twitter nor G+ could handle the perfectly

Panasonic not only introduced the new Lumix cameras that rely on high zoom capability. The Japanese company also helped bring a compact camera Lumix DMC-XS3 that rely 14.1 MP MOS sensor with high sensitivity.

This digital camera is designed with a slim shape and body size of 14 millimeters. Although the size is quite small, this camera is claimed to deliver high quality images thanks to sensors that can reduce noise. In addition, this camera also features a 5x optical zoom and 10x zoom intelegent.

Panasonic Lumix DMC-XS3 also has the ability to record full HD video in MP4 format. In it there is also a feature called Intelligent Auto (iA) which enables features like Intelligent ISO Control, Intelligent Scene Selector, Face Detection and Intelligent Exposure is done automatically.

For shooting in low-light atmosphere, there is a Handheld Night Shot mode. This mode can produce high quality images with a single shot.