Chinta Someswara Rao

Similarity analysis between chromosomes of Homo sapiens and monkeys with correlation coefficient, rank correlation coefficient and cosine similarity measures

In this paper, we consider correlation coefficient, rank correlation coefficient and cosine similarity measures for evaluating similarity between Homo sapiens and monkeys. We used DNA chromosomes of genome wide genes to determine the correlation between the chromosomal content and evolutionary relationship. The similarity among the H. sapiens and monkeys is measured for a total of 210 chromosomes related to 10 species. The similarity measures of these different species show the relationship between the H. sapiens and monkey. This similarity will be helpful at theft identification, maternity identification, disease identification, etc.

PDM data classification from step - An object oriented string matching approach

To increase product competitiveness, current manufacturing enterprises have to deliver their products at reduced cost and high quality in a short time. Traditional production patterns and manufacturing technologies may find it difficult to satisfy the requirements of current product development. Many types of advanced manufacturing techniques, such as Computer Integrated Manufacturing (CIM), Agile Manufacturing (AM), Concurrent Engineering (CE), and Virtual Enterprise (VE) based on global manufacturing have been proposed to meet these requirements. Information systems have become the nerve center of current manufacturing systems. So some new requirements on information modeling are introduced. The main focus of this paper is to determine the requirements of a data classification for STEP-Product data entities that supports integrity validation and verification. In this paper we develop an object oriented database tool to retrieve and store the product model data from a STEP file using JAVA based PDM-string matching algorithm. Finally this tool operates around a model that uses a well-defined configuration management strategy to manage and storage of product model data.

Next generation sequencing (NGS) database for tandem repeats with multiple pattern 2°-shaft multicore string matching.

Next generation sequencing (NGS) technologies have been rapidly applied in biomedical and biological research in recent years. To provide the comprehensive NGS resource for the research, in this paper , we have considered 10 loci/codi/repeats TAGA, TCAT, GAAT, AGAT, AGAA, GATA, TATC, CTTT, TCTG and TCTA. Then we developed the NGS Tandem Repeat Database (TandemRepeatDB) for all the chromosomes of Homo sapiens, Callithrix jacchus, Chlorocebus sabaeus, Gorilla gorilla, Macaca fascicularis, Macaca mulatta, Nomascus leucogenys, Pan troglodytes, Papio anubis and Pongo abelii genome data sets for all those locis. We find the successive occurence frequency for all the above 10 SSR (simple sequence repeats) in the above genome data sets on a chromosome-by-chromosome basis with multiple pattern 2° shaft multicore string matching.

A Novel Multi Pattern String Matching Algorithm with While Shift

String matching plays a dominant role in digital computer world, because it is made up of huge digital information. Digital computer world users often face a problem to extract the relevant information from these huge digital data to their queries. Hence it requires efficient retrieval algorithms for retrieving relevant data from huge digital data. To retrieve relevant data, in this paper we proposed two retrieval algorithms called single pattern and multi pattern string matching algorithms with while shift.

Implementation of Interactive Data Knowledge Management and Semantic Web for Step-Data from Express Entities

Now a day’s Design, Analysis and Manufacturing industry is changing from capital, technology intensive production to knowledge intensive production. So, developing a semantic web based computer aided knowledge management is necessary for realizing knowledge intensive engineering industry. This paper analyzes data knowledge requirements for semantic design, analysis, and manufacturing knowledge management for STEP-Data from EXPRESS entities. In addition, this paper demonstrates the semantic data knowledge management system for STEP-Data by applying a common Design, Analysis and Manufacturing knowledge query.

Implementation of interactive database system for STEP-geometric data from EXPRESS entities

Today information systems have become the key factor of current computer based engineering applications. So database are designed to support data storage, processing, and retrieval activities related to data management, and they are the key to implementing engineering information models. However, the current mainstream databases are mainly used for business applications, some new engineering requirements challenge todays database technologies and promote their evolvement. The main focus of this paper is to determining the requirements of a database for STEP-Geometry entities that supports integrity validation of versioned design artifacts through effective management of evolving constraints. In this paper develop a tool for separate and store the geometric data from STEP file using EXPRESS entities. Finally this tool operates around a version model that uses a well-defined configuration management strategy to manage and storage of geometric data.

Implementation of object oriented approach for copyright protection using Hadamard transforms

The World Wide Web is, in many respects, a world without barriers. Its openness is highly appealing, if not downright noble. Unfortunately people can take advantage of this electronic latitude to unlawfully take what is not theirs. Efforts aimed at protecting intellectual property are limited to crop up gateways that show lengthy legal documents establish ownership; it does not provide enforcement of tracking stolen intellectual property in the digital world. Copy right protection is one of the proposed solutions for protection of intellectual property. In this paper, we propose an efficient object oriented approach for the copyright protection. This approach can embed an entire image as a watermark into the original image for indicating the copyright. The performance of the proposed technique is better compared to other techniques like Discrete Cosine Transforms, Discrete Wavelet Transforms. It can extract better-quality watermarks and it takes little time to embed and extract the watermark.

MapReduce Accelerated Signature-Based Intrusion Detection Mechanism (IDM) with Pattern Matching Mechanism

Network protection was rendered an ultimatum due to expeditious growth in the pace of wired Internet and also due to the constantly increasing number of attacks. Discovery of dubious activities and prevention of their malicious impact can be effectively done by intrusion detection systems (IDS). Due to the pattern matching operation, existing signature-based IDS will bear more searching time and memory. A diligent system to truncate the overhead is the need of the hour. Matching the pattern through parallelizing a matching algorithm on a GPU using MapReduce is the objective of this research. This paper attempts to parallelize a pattern matching technique under the MapReduce framework. A speedup of four times is achieved using the GPU implementations in juxtaposing to the CPU under MapReduce framework.

Physiotherapy and Head and Neck Cancers

Among all Cancers, head and neck cancers constitute the majority of cases in developing country like India. Over 200,000 cases of head and neck cancer occur each year in India [1]. Head and neck cancers include oral cancers, pharyngeal cancers, laryngeal cancers, salivary gland cancers, cancers involving the skin of head and neck region, etc. Treatment for head and neck cancer involves surgery, radiotherapy and chemotherapy. Surgery involves excision of tumor from a primary site with margin, including dissection of the cervical lymph nodes in most of cases, with or without removal of the sternocleidomastoid muscle, jugular vein and spinal accessory nerve depending on disease burden. Defect created by surgery often requires immediate reconstruction using local, regional or free flaps.

Data of 10 SSR markers for genomes of homo sapiens and monkeys

In this data, we present 10 Simple Sequence Repeat(SSR) markers TAGA, TCAT, GAAT, AGAT, AGAA, GATA, TATC, CTTT, TCTG and TCTA which are extracted from the genomes of homo sapiens and monkeys using string matching mechanism [1]. All loci showed 4 Base Pair(bp) in allele size, indicating that there are some polymorphisms between individuals correlating to the number of SSR repeats that maybe useful for the detection of similarity among the genotypes. Collectively, these data show that the SSR extraction is a valuable method to illustrate genetic variation of genomes.