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This paper presents a real time video based pointing method which allows sketching and writing of English text over air in front of mobile camera. Proposed method have two main tasks: first it track the colored finger tip in the video frames and then apply English OCR over plotted images in order to recognize the written characters. Moreover, proposed method provides a natural human-system interaction in such way that it do not require keypad, stylus, pen or glove etc for character input. For the experiments, we have developed an application using OpenCv with JAVA language. We tested the proposed method on Samsung Galaxy3 android mobile. Results show that proposed algorithm gains the average accuracy of 92.083% when tested for different shaped alphabets. Here, more than 3000 different Magnetic 3D shaped characters were used [Ref: http://learnrnd.com/news.php?id=Magnetic_3D_Bio_Printing]. Our proposed system is the software based approach and relevantly very simple, fast and easy. It does not require sensors or any hardware rather than camera and red tape. Moreover, proposed methodology can be applicable for all disconnected languages but having one issue that it is color sensitive in such a way that existence of any red color in the background before starting the character writing can lead to false results., Comment: 19 pages, 19 figures,2 tables. see http://www.tandfonline.com/doi/abs/10.1080/15980316.2013.860928?journalCode=tjid20

This paper presents the comparison of compression algorithms for voice transferring method over SMS in satellite communication. Voice transferring method over SMS is useful in situations when signal strength is low and due to poor signal strength voice call connection is not possible to initiate or signal dropped during voice call. This method has one serious flaw that it produces large number of SMS while converting voice into SMS. Such issue is catered to some extend by employing any compression algorithm. In this paper our major aim is to find best compression scheme for said method, for that purpose we compare 6 different types of compression algorithms which are; LZW (Lempel-Ziv-Welch), Huffman coding, PPM (Prediction by partial matching), Arithmetic Coding (AC), BWT (Burrows-Wheeler-Transform), LZMA (Lempel-Ziv-Markov chain). This comparison shows that PPM compression method offers better compression ratio and produce small number of SMS. For experimentation we use Thuraya SG-2520 satellite phone. Moreover, we develop an application using J2ME platform[Ref:a]. We tested that application more than 100 times and then we compare the result in terms of compression ratio of each algorithm and number of connected SMS produce after each compression method. The result of this study will help developers to choose better compression scheme for their respective applications. http://www.learnrnd.com/news.php?id=ISSUES_IN_MOLECULAR_COMMUNICATIONS, Comment: 11 pages, 8 figures, International Journal