arXiv subjects

T. R. Gopalakrishnan Nair

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

At least 19 recordsLinked to original sources

arXiv2014

Priority based bandwidth allocation in wireless sensor networks

Most of the sensor network applications need real time communication and the need for deadline aware real time communication is becoming eminent in these applications. These applications have different dead line requirements also. The real time applications of wireless sensor networks are bandwidth sensitive and need higher share of bandwidth for higher priority data to meet the dead line requirements. In this paper we focus on the MAC layer modifications to meet the real time requirements of different priority data. Bandwidth partitioning among different priority transmissions is implemented through MAC layer modifications. The MAC layer implements a queuing model that supports lower transfer rate for lower priority packets and higher transfer rate for real time packets with higher priority, minimizing the end to end delay. The performance of the algorithm is evaluated with varying node distribution.

cs.NI↗

arXiv2014

An intelligent routing approach using genetic algorithms for quality graded network

Intelligent routing in networks has opened up many challenges in modelling and methods, over the past decade. Many techniques do exist for routing on such an environment where path determination was carried out by advertisement, position and near-optimum node selection schemes. In this paper, an efficient routing scheme has been proposed using genetic algorithm for a grade-based two-level node selection method. This method assumes that nodes have the knowledge of its environment and is capable of taking decision for route discovery. The data learnt from the topology which is under consideration for routing, is saved in its local memory. In this two-level node selection scheme, the route discovery operation takes place in multiple levels. At the first level, the grade based selection is applied for considering the most optimal nodes which would be fit for sending data. At the second level, the optimal path is discovered using Genetic Algorithm. The simulation result shows that faster convergence of path took place in the case of the proposed method with good fitness value, as compared to non-graded network.

cs.NI↗

arXiv2014

Optimal path selection in Graded network using Artificial Bee Colony algorithm with Agent enabled Information

In this paper we propose a network aware approach for routing in graded network using Artificial Bee Colony (ABC) algorithm. ABC has been used as a good search process for optimality exploitation and exploration. The paper shows how ABC approach has been utilized for determining the optimal path based on bandwidth availability of the link and how it outperformed non graded network while deriving the optimal path. The selection of the nodes is based on the direction of the destination node also. This would help in narrowing down the number of nodes participating in routing. Here an agent system governs the collection of QoS parameters of the nodes. Also a quadrant is synthesized with centre as the source node. Based on the information of which quadrant the destination belongs, a search is performed. Among the many searches observed by the onlooker bees the best path is selected based on which onlooker bee comes back to source with information of the optimal path. The simulation result shows that the path convergence in graded network with ABC was 30% faster than non-graded ABC.

cs.NI↗

arXiv2014

Competitive performance analysis of two evolutionary algorithms for routing optimization in graded network

In this paper we compare the two intelligent route generation system and its performance capability in graded networks using Artificial Bee Colony (ABC) algorithm and Genetic Algorithm (GA). Both ABC and GA have found its importance in optimization technique for determining optimal path while routing operations in the network. The paper shows how ABC approach has been utilized for determining the optimal path based on bandwidth availability of the links and determines better quality paths over GA. Here the nodes participating in the routing are evaluated for their QoS metric. The nodes which satisfy the minimum threshold value of the metric are chosen and enabled to participate in routing. A quadrant is synthesized on the source as the centre and depending on which quadrant the destination node belongs to, a search for optimal path is performed. The simulation results show that ABC speeds up local minimum search convergence by around 60% as compared to GA with respect to traffic intensity, and opens the possibility for cognitive routing in future intelligent networks.

cs.NI↗

arXiv2014

Correlating and Cross-linking Knowledge Threads in Informledge System for Creating New Knowledge

There has been a considerable advance in computing, to mimic the way in which the brain tries to comprehend and structure the information to retrieve meaningful knowledge. It is identified that neuronal entities hold whole of the knowledge that the species makes use of. We intended to develop a modified knowledge based system, termed as Informledge System (ILS) with autonomous nodes and intelligent links that integrate and structure the pieces of knowledge. We conceive that every piece of knowledge is a cluster of cross-linked and correlated structure. In this paper, we put forward the theory of the nodes depicting concepts, referred as Entity Concept State which in turn is dealt with Concept State Diagrams (CSD). This theory is based on an abstract framework provided by the concepts. The framework represents the ILS as the weighted graph where the weights attached with the linked nodes help in knowledge retrieval by providing the direction of connectivity of autonomous nodes present in knowledge thread traversal. Here for the first time in the process of developing Informledge, we apply tenor computation for creating intelligent combinatorial knowledge with cross mutation to create fresh knowledge which looks to be the fundamentals of a typical thought process.

cs.AI↗

arXiv2014

Methodology For Detection of QRS Pattern Using Secondary Wavelets

Applications of wavelet transform to the field of health care signals have paved the way for implementing revolutionary approaches in detecting the presence of certain abnormalities in human health patterns. There were extensive studies carried out using primary wavelets in various signals like Electrocardiogram (ECG), sonogram etc. with a certain amount of success. On the other hand analysis using secondary wavelets which inherits the characteristics of a set of variations available in signals like ECG can be a promise to detect diseases with ease. Here a method to create a generalized adapted wavelet is presented which contains the information of QRS pattern collected from an anomaly sample space. The method has been tested and found to be successful in locating the position of R peak in noise embedded ECG signal.

cs.CV↗

arXiv2014

Adaptive Wavelet Based Identification and Extraction of PQRST Combination in Randomly Stretching ECG Sequence

Cardiovascular system study using ECG signals have evolved tremendously in the domain of electronics and signal processing. However, there are certain floating challenges unresolved in the analysis and detection of abnormal performances of cardiovascular system. As the medical field is moving towards more automated and intelligent systems, wrong detection or wrong interpretations of ECG waveform of abnormal conditions can be quite fatal. Since the PQRST signals vary their positions randomly, the process of locating, identifying and classifying each feature can be cumbersome and it is prone to errors. Here we present an automated scheme using adaptive wavelet to detect prominent R-peak with extreme accuracy and algorithmically tag and mark the coexisting peaks P, Q, S, and T with almost same accuracy. The adaptive wavelet approach used in this scheme is capable of detecting R-peak in ECG with 99.99% accuracy along with the rest of the waveforms.

cs.CV↗

arXiv2014

SLI, a New Metric to determine Success of a Software Project

Project Management process plays a critical role in managing factors such as cost, time, technology and personnel towards achieving the success of a project and henceforth the sustainability of the company in the industrial market. This paper emphasizes empirical study of several projects developed over a period of time in a product and service based CMMI Level 5 Software Company. The investigation shows impact analysis of resources such as cost, time, and number of developers towards the successful completion of the project as allocated by the project manager during the developmental process. The analysis has further led to the introduction of a new qualitative metric, Success Level Index Metric (SLI) whose index value varies from 0 to 1. SLI acts as a maturity indicator that indicates the degree of maturity of the company in terms of success of their projects based on which the company can choose their desired level of success for their projects.

cs.SE↗

arXiv2014

Merging and Shifting of Images with Prominence Coefficient for Predictive Analysis using Combined Image

Shifting of objects in an image and merging many images after appropriate shifting is being used in several engineering and scientific applications which require complex perception development. A method has been presented here which could be used in precision engineering and biological applications where more precise prediction is required of a combined phenomenon with varying prominence of each phenomenon. Accurate merging of intended pixels can be achieved in high quality using frequency domain techniques even though initial properties of the original pixels are lost in this process. This paper introduces a technique to shift and merge various images with varying prominence of each image. A coefficient named prominence coefficient has been introduced which is capable of making some of the images transparent and highlighting the rest as per requirement of merging process which can be used as a simple but effective technique for overlapped view of a set of images.

cs.CV↗

arXiv2014

Accurate merging of images for predictive analysis using combined image

Several Scientific and engineering applications require merging of sampled images for complex perception development. In most cases, for such requirements, images are merged at intensity level. Even though it gives fairly good perception of combined scenario of objects and scenes, it is found that they are not sufficient enough to analyze certain engineering cases. The main problem is incoherent modulation of intensity arising out of phase properties being lost. In order to compensate these losses, combined phase and amplitude merge is demanded. We present here a method which could be used in precision engineering and biological applications where more precise prediction is required of a combined phenomenon. When pixels are added, its original property is lost but accurate merging of intended pixels can be achieved in high quality using frequency domain properties of an image. This paper introduces a technique to merge various images which can be used as a simple but effective technique for overlapped view of a set of images and producing reduced dataset for review purposes.

cs.CV↗

arXiv2014

Model based design of super schedulers managing catastrophic scenario in hard real time systems

The conventional design of real-time approaches depends heavily on the normal performance of systems and it often becomes incapacitated in dealing with catastrophic scenarios effectively. There are several investigations carried out to effectively tackle large scale catastrophe of a plant and how real-time systems must reorganize itself to respond optimally to changing scenarios to reduce catastrophe and aid human intervention. The study presented here is in this direction and the model accommodates catastrophe generated tasks while it tries to minimize the total number of deadline miss, by dynamically scheduling the unusual pattern of tasks. The problem is NP hard. We prove the methods for an optimal scheduling algorithm. We also derive a model to maintain the stability of the processes. Moreover, we study the problem of minimizing the number of processors required for scheduling with a set of periodic and sporadic hard real time tasks with primary/backup mechanism to achieve fault tolerance. EDF scheduling algorithms are used on each processor to manage scenario changes. Finally we present a simulation of super scheduler with small, medium and large real time tasks pattern for catastrophe management.

cs.DC↗

arXiv2014

Impact Analysis of Allocation of Resources by Project Manager on Success of Software Projects

Generation Production of successful software project is one of the prime considerations of software industry. Engineering high quality software products is further influenced by several factors such as budget, schedule, resource constraints etc. A project manager is responsible for estimation and allocation of these resources in a project. Hence, role of project manager has a vital influence on success of the project. This research comprises of an empirical study of several projects developed in a product and service based CMMI Level 5 Software Company. The investigation result shows a significant impact of aforementioned factors on the success of software and on the company. The analysis further indicates the vital role of project managers in optimizing the resource allocation towards development of software. This paper brings in impact analysis of efficiency of project manager in effectively allocating resources such as time, cost, number of developers etc. An awareness of efficiency level of project manager in optimal allocation of resources enables one to realize the desired level of quality.

cs.SE↗

arXiv2014

An Optimum Scheduling Approach for Creating Optimal Priority of Jobs with Business Values in Cloud Computing

Realizing an optimal task scheduling by taking into account the business importance of jobs has become a matter of interest in pay and use model of Cloud computing. Introduction of an appropriate model for an efficient task scheduling technique could derive benefit to the service providers as well as clients. In this paper, we have addressed two major challenges which has implications on the performance of the Cloud system. One of the major issues is handling technical aspects of distributing the tasks for targeted gains and the second issue is related to the handling of the business priority for concurrently resolving business complexity related to cloud consumers. A coordinated scheduling can be achieved by considering the weightage of both aspects viz. technical requirements and business requirements appropriately. It can be done in such a way that it meets the QoS requirements of technical domain as well as business domain. Along with the technical priority a business Bp is required in creating a resultant priority which could be given to stages of further processing, like task allocation and arbitration schemes. Here we consider a technical priority Tp that is governed by a semi-adaptive scheduling algorithm whereas the resultant priority is derived in which a Business Priority Bp layer encapsulates the Technical Priority Tp to achieve the overall priority of the incoming tasks. It results in a Hybrid priority creation, which is a combination of both technical priority Tp and business priority Bp. By taking into account the business priority of the jobs it is possible to achieve a higher service level satisfaction for the tasks which are submitted with their native technical priority. With this approach the waiting time of the tasks tends to get reduced and it gives a better service level satisfaction.

cs.DC↗

arXiv2014

A Parametric Analysis of Project Management Performance to Enhance Software Development Process

Project Management process plays a significant role in effective development of software projects. Key challenges in the project management process are the estimation of time, cost, defect count, and subsequently selection of apt developers. Therefore precise estimation of above stated factors decides the success level of a project. This paper provides an empirical study of several projects developed in a service oriented software company in order to comprehend the project management process. The analysis throws light on the existence of variation in the aforementioned factors between estimation and observed results. It further captures the need for betterment of project management process in estimation and allocation of resources in the realization of high quality software product. The paper therefore aims to bring in an improved awareness in software engineering personnel concerning the magnitude and significance of better estimation and accurate allocation of resources for developing successful project.

cs.SE↗

arXiv2014

A Comparative Analysis for Determining the Optimal Path using PSO and GA

Significant research has been carried out recently to find the optimal path in network routing. Among them, the evolutionary algorithm approach is an area where work is carried out extensively. We in this paper have used particle swarm optimization (PSO) and genetic algorithm (GA) for finding the optimal path and the concept of region based network is introduced along with the use of indirect encoding. We demonstrate the advantage of fitness value and hop count in both PSO and GA. A comparative study of PSO and genetic algorithm (GA) is carried out, and it was found that PSO converged to arrive at the optimal path much faster than GA.

cs.NI↗

arXiv2014

Comparative performance analysis of AntHocNet and DSR in optimal path route determination

One of the key challenges in current Internet routing is the application of improved bio-inspired algorithms in deriving the path towards the destination. Current routing trends determine the optimal path based on throughput, delay or combination of these two metric. Here in this paper, we compare the performance of the two algorithms, AntHocNet (AHN) and Dynamic Source Routing (DSR) for determining the routing path. We introduce the goodput factor as one of the metric for determining the path. Goodput is the number of useful information bits, delivered by the network to a certain destination per unit time .The results show that AHN outperformed DSR in terms of end-to-end delay and overhead. Also the simulation results showed that overhead of AHN was 20.67% lesser than DSR.

cs.NI↗

arXiv2012

Four-Step Approach Model of Inspection (FAMI) for Effective Defect Management in Software Development

IT industry should inculcate effective defect management on a continual basis to deploy nearly a zerodefect product to their customers. Inspection is one of the most imperative and effective strategies of defect management. Nevertheless, existing defect management strategies in leading software industries are successful to deliver a maximum of 96% defect-free product. An empirical study of various projects across several service-based and product-based industries proves the above affirmations. This paper provides an enhanced approach of inspection through a Four-Step Approach Model of Inspection (FAMI). FAMI consists of i) integration of Inspection Life Cycle in V-model of software development, ii) implementation of process metric Depth of Inspection (DI), iii) implementation of people metric Inspection Performance Metric (IPM), iv) application of Bayesian probability approach for selection of appropriate values of inspection affecting parameters to achieve the desirable DI. The managers of software houses can make use of P2 metric as a benchmarking tool for the projects in order to improve the in-house defect management process. Implementation of FAMI in software industries reflects a continual process improvement and leads to the development of nearly a zero-defect product through effective defect management.

cs.SE↗

arXiv2012

Defect Management Strategies in Software Development

Software is a unique entity that has laid a strong impact on all other fields either related or not related to software. These include medical, scientific, business, educational, defence, transport, telecommunication to name a few. State-of-the-art professional domain activities demands the development of high quality software. High quality software attributes to a defect-free product, which is competent of producing predictable results and remains deliverable within time and cost constraints. It should be manageable with minimum interferences. It should also be maintainable, dependable, understandable and efficient. Thus, a systematic approach towards high quality software development is required due to increased competitiveness in today's business world, technological advances, hardware complexity and frequently changing business requirements.

cs.SE↗