arXiv subjects

T. R. Gopalakrishnan Nair

Publications and source records attributed to T. R. Gopalakrishnan Nair.

At least 37 records · Page 2Linked to original sources

arXiv2012

Improved Strategies for Enhanced Business Performance in Cloud based IT Industries

Emergence of sophisticated technologies in IT industries has posed several challenges such as production of products using advanced technical process for instance Result Orientation Approach, Deployment, Assessment and Refinement (RADAR) in a dynamic and competitive environment. The key challenge for any engineer is therefore to develop process and products which ultimately lead towards total customer satisfaction. Recent development in technology has driven most of the IT industries to operate in the cloud environment due to reduced infrastructure investment and maintenance overheads. However, existing process in cloud lacks efficient multiple service paradigms that can provide improved business gain. Thus, it is the responsibility of every engineer to contribute towards effective and efficient techniques and models that can enhance the business performance. The position of this paper is to present several major issues prevailing in the IT industries such as delay time, response time, performance etc., which call for immediate attention in order to position themselves in the market. Further, this paper provides improved strategies through efficient job scheduling and modified resource allocation techniques for aforementioned issues in order to enhance the business performance in cloud-based IT sectors. The simulated results provided in this paper indicate the impact of enhanced solutions incorporated in the job processing strategies. They further enable better performance of the cloud with reduced delay and response time resulting towards improved throughput. Subsequently, it increases the job acceptance ratio with respect to time and thereby leading the industry to accomplish total customer satisfaction in addition to the continued sustainability in the competitive business market.

cs.OH↗

arXiv2012

Multipath Routing With Novel Packet Scheduling Approach In Wireless Sensor Networks

Wireless sensor networks sense and monitor real-time events. They supervise a geographic area where a phenomenon is to be monitored. The data in sensor networks have different levels of priority and hence their criticality differs. In order to keep up the real time commitment, the applications need higher transmission rates and reliability in information delivery. In this work we propose a multipath routing algorithm which enables the reliable delivery of data. By controlling the scheduling rate, it is possible to prevent congestion and packet loss in the network. The algorithm provides an efficient way to prevent the packet loss at each node. This results in congestion management in the sensor networks. This protocol prevents packet clustering and provides smoothness to the traffic. Through monitoring and controlling the scheduling rate the flow control and congestion control are managed.

cs.NI↗

arXiv2012

Transformation of Traditional Marketing Communications in to Paradigms of Social Media Networking

Effective Communication for marketing is a vital field in business organizations, which is used to convey the details about their products and services to the market segments and subsequently to build long lasting customer relationships. This paper focuses on an emerging component of the integrated marketing communication, ie. social media networking, as it is increasingly becoming the trend. In 21st century, the marketing communication platforms show a tendency to shift towards innovative technology bound people networking which is becoming an acceptable domain of interaction. Though the traditional channels like TV, print media etc. are still active and prominent in marketing communication, the presences of the Internet and more specifically the Social Media Networking, has started influencing the way individuals and business enterprises communicate. It has become evident that more individuals and business enterprises are engaging the social media networking sites either to accelerate the sales of their products and services or to provide post-purchase feedbacks. This shift in scenario has motivated this research which took six months (June 2011 - December 2011), using empirical analysis which is carried out based on several primary and secondary evidences. The research paper also analyzes the factors that govern the social media networking sites to influence consumers and subsequently enable their purchase decisions. The secondary data presented for this research were those pertaining to the period between the year 2005 and year 2011. The study revealed promising facts like the transition to marketing through SMN gives visible advantages like bidirectional communication, interactive product presentation, and a firm influence on customer who has a rudimentary interest...

cs.OH↗

arXiv2012

Pre-allocation Strategies of Computational Resources in Cloud Computing using Adaptive Resonance Theory-2

One of the major challenges of cloud computing is the management of request-response coupling and optimal allocation strategies of computational resources for the various types of service requests. In the normal situations the intelligence required to classify the nature and order of the request using standard methods is insufficient because the arrival of request is at a random fashion and it is meant for multiple resources with different priority order and variety. Hence, it becomes absolutely essential that we identify the trends of different request streams in every category by auto classifications and organize preallocation strategies in a predictive way. It calls for designs of intelligent modes of interaction between the client request and cloud computing resource manager. This paper discusses about the corresponding scheme using Adaptive Resonance Theory-2.

cs.DC↗

arXiv2012

Defect Management Using Depth of Inspection and the Inspection Performance Metric

Advancement in fundamental engineering aspects of software development enables IT enterprises to develop a more cost effective and better quality product through aptly organized defect management strategies. Inspection continues to be the most effective and efficient technique of defect management. To have an appropriate measurement of the inspection process, the process metric, Depth of Inspection (DI) and the people metric, Inspection Performance Metric (IPM) are introduced. The introduction of these pair of metrics can yield valuable information from a company in relation to the inspection process.

cs.SE↗

arXiv2012

Influenza Virus Vaccine Efficacy Based On Conserved Sequence Alignment

The rapid outbreak of bird flu challenges the outcome of effective vaccine for the upcoming years. The recent research established different norms to eliminate flu pandemics. This can be made possible with skilled experimental analyses and by tracking the recent virulent strain and can be broadly applicable with effective testing of vaccine efficacy. Every year World Health Organization (WHO) reveals the administration of drug and vaccine to counter arrest the spread of flu among the population. As there are recurrent failures in priming the population, the complete eradication of the flu pandemic is still appears to be an unresolved problem. To overcome the current scenario, high level efforts with theoretical and practical research is required and it can enhance the scope in this field. The recent advancements also allow the researchers to endeavor effective vaccine to meet the emerging flu types. Only the standardized vaccination among the population at the time of flu pandemics will revolutionalize the current propositions against influenza virus. This paper shows the deficiencies of vaccine fitness research as there are reported failures and less efficacy of vaccine even after priming the population from referred evidences and studies. It also shows simple experimental approach in detecting the effective vaccine among the vaccines announced by WHO.

q-bio.OT↗

arXiv2012

Cloud Computing For Microfinances

Evolution of Science and Engineering has led to the growth of several commercial applications. The wide spread implementation of commercial based applications has in turn directed the emergence of advanced technologies such as cloud computing. India has well proven itself as a potential hub for advanced technologies including cloud based industrial market. Microfinance system has emerged out as a panacea to Indian economy since the population encompasses of people who come under poverty and below poverty index. However, one of the key challenges in successful operation of microfinance system in India has given rise to integration of financial services using sophisticated cloud computing model. This paper, therefore propose a fundamental cloud-based microfinance model in order to reduce high transaction risks involved during microfinance operations in an inexpensive and efficient manner.

cs.OH↗

arXiv2012

Genetic Algorithm to Make Persistent Security and Quality of Image in Steganography from RS Analysis

Retention of secrecy is one of the significant features during communication activity. Steganography is one of the popular methods to achieve secret communication between sender and receiver by hiding message in any form of cover media such as an audio, video, text, images etc. Least significant bit encoding is the simplest encoding method used by many steganography programs to hide secret message in 24bit, 8bit colour images and grayscale images. Steganalysis is a method of detecting secret message hidden in a cover media using steganography. RS steganalysis is one of the most reliable steganalysis which performs statistical analysis of the pixels to successfully detect the hidden message in an image. However, existing steganography method protects the information against RS steganalysis in grey scale images. This paper presents a steganography method using genetic algorithm to protect against the RS attack in colour images. Stego image is divided into number of blocks. Subsequently, with the implementation of natural evolution on the stego image using genetic algorithm enables to achieve optimized security and image quality.

cs.MM↗

arXiv2012

Evaluation of the Structural disorder of the protein FMR1 with Carbon Composition

Ever since the disorder of proteins is the main cause for many diseases. As compared with other disorders, the major reason that causes disease is of structural inability of many proteins. The potentially imminent availability of recent datasets helps one to discover the protein disorders, however in majority of cases, the stability of proteins depend on the carbon content. Addressing this distinct feature, it is possible to hit upon the carbon distribution along the sequence and can easily recognize the stable nature of protein. There are certain reported mental disorders which fall in to this category. Regardless, such kind of disorder prone protein FMR1p (Fragile X mental retardation 1 protein) is identified as the main cause for the disease Fragile X syndrome. This paper deals with the identification of defects in the FMR1 protein sequence considering the carbon contents along the sequence. This attempt is to evaluate the stability of proteins, accordingly the protein disorders in order to improvise the certain Biological functions of proteins to prevent disease. The transition of the disorder to order protein involves careful considerations and can be achieved by detecting the unstable region that lacks hydrophobicity. This work focuses the low carbon content in the FMR1 protein so as to attain the stable status in future to reduce the morbidity rate caused by Fragile X syndrome for the society.

q-bio.BM↗

arXiv2012

Application of Genetic Algorithm on Quality Graded Networks for Intelligent Routing

In the past decade, significant research has been carried out for realizing intelligent network routing using advertisement, position and near-optimum node selection schemes. In this paper, a grade-based two-level node selection method along with genetic algorithm (GA) is proposed for realizing an efficient routing scheme. This method assumes that the nodes are intelligent and that there exists a knowledge base about the environment in their local memory. There are two levels for approaching the effective route selection process through grading. At the first level, grade-based selection is applied and at the second level, the optimum path is explored using GA. The simulation has been carried out on different topological structures, and a significant reduction in time is achieved for determining the optimal path through this method compared to the non-graded networks.

cs.NI↗

arXiv2012

A Scheme for Automation of Telecom Data Processing for Business Application

As the telecom industry is witnessing a large scale growth, one of the major challenges faced in the domain deals with the analysis and processing of telecom transactional data which are generated in large volumes by embedded system communication controllers having various functions. This paper deals with the analysis of such raw data files which are made up of the sequences of the tokens. It also depicts the method in which the files are parsed for extracting the information leading to the final storage in predefined data base tables. The parser is capable of reading the file in a line structured way and store the tokens into the predefined tables of data bases. The whole process is automated using the SSIS tools available in the SQL server. The log table is maintained in each step of the process which will enable tracking of the file for any risk mitigation. It can extract, transform and load data resulting in the processing.

cs.OH↗

arXiv2012

Analysis of Test Efficiency during Software Development Process

One of the prerequisites of any organization is an unvarying sustainability in the dynamic and competitive industrial environment. Development of high quality software is therefore an inevitable constraint of any software industry. Defect management being one of the highly influencing factors for the production of high quality software, it is obligatory for the software organizations to orient them towards effective defect management. Since, the time of software evolution, testing is deemed a promising technique of defect management in all IT industries. This paper provides an empirical investigation of several projects through a case study comprising of four software companies having various production capabilities. The aim of this investigation is to analyze the efficiency of test team during software development process. The study indicates very low-test efficiency at requirements analysis phase and even lesser test efficiency at design phase of software development. Subsequently, the study calls for a strong need to improve testing approaches using techniques such as dynamic testing of design solutions in lieu of static testing of design document. Dynamic testing techniques enhance the ability of detection and elimination of design flaws right at the inception phase and thereby reduce the cost and time of rework. It further improves productivity, quality and sustainability of software industry.

cs.SE↗

arXiv2012

An Analytical Approach for Project Managers in Effective Defect Management in Software Process

Defect estimation and prediction are some of the main modulating factors for the success of software projects in any software industry. Maturity and competency of a project manager in efficient prediction and estimation of resource capabilities are one of the strategic driving forces towards the generation of high quality software. Currently, there are no estimation techniques developed through empirical analysis to evaluate the decision capability of a project manager towards resource allocation for effective defect management. This paper brings out an empirical study carried out in a product based software organization. Our deep investigation on several projects throws light on the impact of decision capability of project manager towards accomplishment of an aforementioned objective. The paper enables project managers to gain further awareness towards the significance of predictive positioning in resource allocation in order to develop high quality defect-free software products. It also enhances the maturity level of the company and its persistence in the competitive atmosphere.

cs.SE↗

arXiv2011

Systematic Approach on Differences in Avian Viral Proteins Based on Carbon Composition

The distribution of amino acid along the protein sequences plays an imperative role in facilitating different biological functions. Currently, there is insufficient scientific data, which represents the arrangement of amino acid in the proteins based on atomic composition. Our deep observational and analytical studies indicate that the distribution of carbon in the protein sequence can bring differences in the function of proteins. Until now, it is believed that carbon content elicits the hydrophobic interactions in proteins. This distinct feature classifies normal proteins and viral proteins based on the carbon content. One of the objectives of this investigation is to show the significance of carbon composition in protein structure evaluation. Since, the level of perceived benefit is likely to be high in the field of proteomics for structural analysis, the position of this paper is to prioritize only the avian viral protein sequences based on carbon content when compared with the normal protein sequences. Here, we present the evaluation of carbon along the avian protein sequence in order to show the differences in the distribution of carbon using the software technology. The evaluation results provide a deep view in to the molecular structure of avian viral protein, which can further enable the progress of research in the proteomics domain based on carbon classification. This systematic approach in computing carbon level of avian viruses aim towards the benefit of individual, regional and global health in addition to opening of further effective research on avian viral protein based on the aforementioned results

q-bio.OT↗

arXiv2011

Estimation of Characteristics of a Software Team for Implementing Effective Inspection Process through Inspection Performance Metric

The continued existence of any software industry depends on its capability to develop nearly zero-defect product, which is achievable through effective defect management. Inspection has proven to be one of the promising techniques of defect management. Introductions of metrics like, Depth of Inspection (DI, a process metric) and Inspection Performance Metric (IPM, a people metric) enable one to have an appropriate measurement of inspection technique. This article elucidates a mathematical approach to estimate the IPM value without depending on shop floor defect count at every time. By applying multiple linear regression models, a set of characteristic coefficients of the team is evaluated. These coefficients are calculated from the empirical projects that are sampled from the teams of product-based and service-based IT industries. A sample of three verification projects indicates a close match between the IPM values obtained from the defect count (IPMdc) and IPM values obtained using the team coefficients using the mathematical model (IPMtc). The IPM values observed onsite and IPM values produced by our model which are strongly matching, support the predictive capability of IPM through team coefficients. Having finalized the value of IPM that a company should achieve for a project, it can tune the inspection influencing parameters to realize the desired quality level of IPM. Evaluation of team coefficients resolves several defect-associated issues, which are related to the management, stakeholders, outsourcing agents and customers. In addition, the coefficient vector will further aid the strategy of PSP and TSP

cs.SE↗

arXiv2011

Enhanced Genetic Algorithm approach for Solving Dynamic Shortest Path Routing Problems using Immigrants and Memory Schemes

In Internet Routing, the static shortest path (SP) problem has been addressed using well known intelligent optimization techniques like artificial neural networks, genetic algorithms (GAs) and particle swarm optimization. Advancement in wireless communication lead more and more mobile wireless networks, such as mobile networks [mobile ad hoc networks (MANETs)] and wireless sensor networks. Dynamic nature of the network is the main characteristic of MANET. Therefore, the SP routing problem in MANET turns into dynamic optimization problem (DOP). Here the nodes ae made aware of the environmental condition, thereby making it intelligent, which goes as the input for GA. The implementation then uses GAs with immigrants and memory schemes to solve the dynamic SP routing problem (DSPRP) in MANETS. In our paper, once the network topology changes, the optimal solutions in the new environment can be searched using the new immigrants or the useful information stored in the memory. Results shows GA with new immigrants shows better convergence result than GA with memory scheme.

cs.NE↗

arXiv2011

Particle Swarm Optimization for Realizing Intelligent Routing in Networks with Quality Grading

Significant research has been carried out in the recent years for generating systems exhibiting intelligence for realizing optimized routing in networks. In this paper, a grade based twolevel based node selection method along with Particle Swarm Optimization (PSO) technique is proposed. It assumes that the nodes are intelligent and there exist a knowledge base about the environment in their local memory. There are two levels for approaching the effective route selection process through grading. At the first level, grade based selection is applied and at the second level, the optimum path is explored using PSO. The simulation has been carried out on different topological structures and it is observed that a graded network produces a significant reduction in number of iteration to arrive at the optimal path selection.

cs.NI↗

arXiv2011

A Novel Adaptive Routing through Fitness Function Estimation Technique with Multiple QoS Parameters Compliance

The paper presents a method which shows a significant improvement in discovering the path over the distance vector protocol. The proposed method is a multi-parameter QoS along with the fitness function which shows that it overcomes the limitation of DV like routing loops by spanning tree approach, count-to-infinity problem by decision attribute. The input considered is a topology satisfying the QoS parameters of size 1 to 64 nodes and it was shown that an optimal path selection was obtained efficiently over the classical distance vector algorithm

cs.NI↗