August 31st, 2014
Found this great article titled “Develoing Android* Application with Voice Recognition Features”, by Stanislav of Intel. Included is a SpeechRecognitionHelper class which instantiate and invoke Google SpeechRecongizer service. Unlike iOS OpenEar library, the free Google SpeechRecognizer service requires internet access but is impressively faster in performance and accuracy. Apparently offline processing is possible for some devices with Jellybean and later. Goto Settings->Language and input->Voice search->Offline speech recognition and install your language packet. Inside the Dictation project Manifest file, comment out this line for internet permission.
<uses-permission android:name=”android.permission.INTERNET” />
For features and UI, there are four buttons, Dictate, Last, Clear and Save. Dictate will invoke the Google SpeechRecognizer service and render/append the interpreted text on to the page. I am assuming each dictation is a complete sentence and insert a period after. The Last button will remove your last dictation instance. The Clear button will remove all dictations. The save button will write/append all text on screen to file along with a time stamp. Additional features such as deletion is probably a good idea but not implemented. Below are some screenshots of the app in operation.
Complete Dictation project source maybe found on Github.
Installation of the Dictation app is available on GooglePlay under the yeuchi collection.
July 20th, 2014
According to Samsung SPen developer documentation, we should be using the latest Samsung Mobile SDK, version 3.0. SPen SDK version 2.3 will no longer be supported after the 2014 calendar year. The developer website is full of examples for the SPen usage for native mobile development in java. Here is an SCanvasView intro page. For the most simple pen drawing exercise with SPen SDK version 2.3, I am creating this SCanvasView exercise, Note2Stylus. All the smarts like anti-aliasing, smoothing and line thickness is handled by the SCanvasView right out of the box, very cool. This app is created with Eclipse Juno – Android developer tool with SDK version 23. The target hardware device is a Samsung Note 2 with Android 4.4.2.
July 6th, 2014
Prototype and testing on Android 4.4.2, Saumsung Note II, the MachWaves app is build with eclipse-ADT, consisting of three tab-fragments, camera, configuration and about (help) page.
On tab1, camera feature current only supports still photo in portrait mode. The highlight is default with a green color but should make it to tab2, configuration page in next iteration. What else would be helpful in configuration ? (highlight stroke thickness, saved file style, auto-save, angle in radian, ??). Tab3 is the help page with a browser link to the generic support page.
Saved files are currently placed in /storage/emulated/0/Pictures/ directory. The file name follows the structure, d MMM yyyy HH:mm:ss.png. There is currently no way of saving the highlighted image with angle and mach number information. Would that feature be of interest ? Maybe I should offer the option to save file as jpeg or gif too.
Touch start/end events for two lines are drawn as highlight for the Canvas layer. For the Mach angle, I determine intersecting vectors and calculate their dot product. Mach number is estimated by the relationship, sin (mach-angle) = 1 / mach-number. For more information, see reference, Compressible-Fluid Dynamics by Philip A. Thompson, 1988.
Download from GooglePlay, here or pull the source code available on GitHub. Feel free to use it in anyway you see fit though higher quality code will be available next iteration. Any suggestion is greatly appreciated.
June 26th, 2014
Thank you Professor Andy Davidhazy, RIT for teaching schileren method among many other flow visualization techniques. Thank you Dr. Brown of NASA Ames Research center for including me in your experiments.
Decades ago, I was privileged to work (co-op) at the Imaging Technology Branch of NASA Ames Research Center. For most of the experience, I was in awe, fascinated by the brilliant minds, facilities and experiments much like a child would in Disney World.
In one particular photographic assignment at the High-Reynolds laboratory, I was allowed to inquire/propose a moire schileren technique I read and learned from an old text, Schlieren Methods, Douglas William Holder, 1963. For knife edge replacements, I created various ronchi rulings with the following result -best case (a) parallel (b,c) rotated.
Recently, I developed these mobile apps, Machwaves to offer simple photo/video capability and measure mach angle, mach number. As I have no qualifying fluid dynamic experience, I welcome any input or correction on this application. Source code in objective-C and Java is freely available. Information about the app and download sites are available here.
May 26th, 2013
An exercise of the Tesseract.
My employer before Perceptive Software had a logo that ‘could have been’ a Tesseract.
Source code available here on GoogelSVN.
January 6th, 2013
It has been a few years since I was fascinated over random dot sterograms; 3D without glasses or special technology, just have to cross your eyes.. and a headache afterward.
November 26th, 2012
September 26th, 2012
For my most recent enrichment, this is my first exercise using WPF. I am implementing a STL binary decoder in C#. Will work on the ascii decoder next.
Visual Studio 2008 DecoderExercise project available on GoogleSVN.
September 21st, 2012
One of the nice thing about Visual Studio is your language choice. Regardless of your preference for C#, C++ or VB, the underlining API is the same. So, it is a surprise to me that the FTPWebRequest example is missing a VB implementation. As an exercise assigned, I am porting the C# example into VB for those whom feel left out. Here is my dialog application that allows you to navigate to a directory, connect to ftp server and put file(s) onto server. For test comparison, I have also make the sample code into a DLL for testing. Here is my class library of the MSDN-C# example.
September 9th, 2012
An interesting LinkedIn discussion brought on by Zhonghai Deng. Here is my exercise displaying frequency plots for 2X interpolation via nearest-neighbor, linear, and cubic. The original image is a rect function (10 pixels x 1 pixels) All interpolated images are scaled 2X to (20 pixels x 1 pixel) with Adobe photoshop. See the result sinc function comparison and/or download the mathematica file and source images.