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The fundamental procedure of analyzing sequence content is sequence comparison. Sequence comparison can be defined as the problem of finding which parts of the sequences are similar and which parts are different, namely comparing two sequences to identify similarities and differences between them. A typical approach to solve this problem is to find a good and reasonable alignment between the two sequences. The main research in this project is to align the DNA sequences by using the Needleman-Wunsch algorithm for global alignment and Smith-Waterman algorithm for local alignment based on the Dynamic Programming algorithm. The Dynamic Programming Algorithm is guaranteed to find optimal alignment by exploring all possible alignments and choosing the best through the scoring and traceback techniques. The algorithms proposed and evaluated are to reduce the gaps in aligning sequences as well as the length of the sequences aligned without compromising the quality or correctness of results. In order to verify the accuracy and consistency of measurements obtained in Needleman-Wunsch and Smith-Waterman algorithms the data is compared with Emboss (global) and Emboss (local) with 600 strands test data.

Facial landmarks detection is undoubtedly important in many applications in computer vision for example the face detection and recognition. In craniofacial anthropometry, consistent landmarks localization as per standard definition of the craniofacial anthropometry landmarks is very important in order to get accurate craniofacial anthropometry data. In this article we demonstrated an automatic detection of craniofacial anthropometry landmarks at the orbital region. 3D images of 100 respondents' were photogaphed using Vectra-3D in controlled environment. Craniofacial measurements of 30 3D images were measured using VAM software. Two data sets of left and right eyes positive training data were created to train 'en' and 'ex' haar cascade classifiers. These classifiers were used to detect and locate the inner (en) and outer (ex) eye corners. We automatically measured the left and right eye fissures length (en-ex), the intercanthal (en-en) and the biocular (ex-ex) width. Statistical analysis was performed on the measurements taken by Vectra 3D and by our software with paired t-test and calculated the ICC indices. We observed quite amount of false positive detections. We removed the false positive and predicted the eye corners. Our classifiers able to detect and locate the 'en' and the 'ex' in 59 out of 60 test images. Our results show accurate detection of 'ex' and 'en' craniofacial landmarks as per standard definition. The paired t-test showed that all four (4) measurements are no significant difference with the p values on 95% confidence level are above 0.05. The ICC indices for the measurements were from 0.4 to 0.78. In conclusion, our trained enHaar and exHaar cascade classifiers were able to automatically detect the 'en' and 'ex' craniofacial anthropometry landmarks in controlled environment. The measurements were clinically no significant differences with the mean different were less than 1 mm in both eye fissures and intercanthal except the biocular width ( 1.16 mm). The consistency of the measurements between the two methods are good for the intercanthal width and moderate for the biocular width and for both eye fissure lengths.

This paper presents our effort and to realize possible usage on embedded Linux platform for Intrusion Detection (Port Scan). The approach was to develop software which performs port scan using half-open and udp technique. The software is then executed on a Linux based Single Board Computer (SBC) which runs TS-Linux 2.4.23 kernel developed by Technology System (TS). It is interesting enough to find that regardless of the limitation of processing power, the system performance on the embedded platform is at par with other port scanners running on a much better performance PC. The findings indicate that low end embedded Linux platform is suitable for network security application and it is marketable at a lower cost with the extra benefit ofportability.

This paper describes the design and implementation of a web-based portable network traffic monitoring system (PNtMS) on an embedded linux platform, based on single board computer (SBC). The functionality of the monitoring system constitutes processing of TCP/IP network traffic in respect of network protocol analysis and traffic monitoring. The structural breakdown of this system can be generically segregated into three parts which can be mapped into different layers of the operating system. This monitoring system is designed to capture network packets information and performed statistical analysis. The analyzed data are then stored into log files that can be shown through a web browser and onboard LCD panel, which are mounted on the SBC. Results show that, the low-end embedded Linux platform is fit to produce reliable web-based network traffic monitoring system.