arXiv subjects

T. R. Gopalakrishnan Nair

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

At least 55 records · Page 3Linked to original sources

arXiv2011

A Packet Scheduling Strategy in Sensor Networks with SGMH Protocol

Data communication in sensor networks can have timing constraints like end to end deadlines. If the deadlines are not met either a catastrophe can happen in hard real time systems or performance deterioration can occur in soft real time systems. In real time sensor networks, the recovery of data through retransmission should be minimized due to the stringent requirements on the worst case time delays. This paper presents the application of Stop and Go Multihop protocol (SGMH) at node level in wireless sensor networks for scheduling and hence to meet the hard real time routing requirements. SGMH is a distributed multihop packet delivery algorithm. The fractions of the total available bandwidth on each channel is assigned to several traffic classes by which the time it takes to traverse each of the hops from the source to the destination is bounded. It is based on the notion of time frames (Tfr). In sensor networks packets can have different delay guarantees. Multiple frame sizes can be assigned for different traffic classes.

cs.NI↗

arXiv2010

Heat Sink Performance Analysis through Numerical Technique

The increase in dissipated power per unit area of electronic components sets higher demands on the performance of the heat sink. Also if we continue at our current rate of miniaturisation, laptops and other electronic devices can get heated up tremendously. Hence we require a better heat dissipating system to overcome the excess heat generating problem of using nanoelectronics, which is expected to power the next generation of computers. To handle the excessive and often unpredictable heating up of high performance electronic components like microprocessors, we need to predict the temperature profile of the heat sink used. This also helps us to select the best heat sink for the operating power range of any microprocessor. Understanding the temperature profile of a heat sink and a microprocessor helps us to handle its temperature efficiently for a range of loads. In this work, a method to estimate the normal response of a heat sink to various loads of a microprocessor is explained.

cs.OH↗

arXiv2010

Transformation of Networks through Cognitive Approaches

The growth in data traffic and the increased demand for quality of service had generated a large demand for network systems to be more efficient. The introduction of improved routing systems to meet the increasing demand and varied protocols to accommodate various scales of challenges in network efficiency had further complicated the operations. This means that a better mode of intelligence has to be infused into networking for smoother operations and better autonomic features. Cognitive networks are defined and analyzed in this angle. They are identified to have the potential to deal with the future user related quality and efficiency of service at optimized levels. The cognitive elements of a system like perception, learning, planning, reasoning and decision forming can enable the systems to be more aware of their environment and offer better services. These approaches are expected to transform the mode of operation of future networks.

cs.NI↗

arXiv2010

The Novelty of Syntheses & Varied Applications of ZnO nano systems

Controlled synthesis of nano materials is critical for the development of nanotechnologies concerned with respect to shape and size. Especially, ZnO nanosystems, such as wires, belts, needles and films can be easily formed by either physical or chemical approaches such as, Chemical Vapour Deposition, Metal Organic Chemical Vapour Deposition, Pulsed Laser Deposition, Molecular Beam Epitaxy, Sol Gel process, Thermal Annealing method and Solvothermal Oxidation. ZnO has polar surfaces that help in the formation of a wide range of nanostructures such as needles,films rings, springs, bows and helices

physics.chem-ph↗

arXiv2010

Defect Prevention Approaches In Medium Scale It Enterprises

cs.SE↗

arXiv2010

An Adaptive Dynamic Replacement Approach for a Multicast based Popularity Aware Prefix Cache Memory System

In this paper we have proposed an adaptive dynamic cache replacement algorithm for a multimedia servers cache system. The goal is to achieve an effective utilization of the cache memory which stores the prefix of popular videos. A replacement policy is usually evaluated using hit ratio, the frequency with which any video is requested. Usually discarding the least recently used page is the policy of choice in cache management. The adaptive dynamic replacement approach for prefix cache is a self tuning, low overhead algorithm that responds online to changing access patterns. It constantly balances between lru and lfu to improve combined result. It automatically adapts to evolving workloads. Since in our algorithm we have considered a prefix caching with multicast transmission of popular objects it utilizes the hard disk and network bandwidth efficiently and increases the number of requests being served.

cs.MM↗

arXiv2010

Authentication and Authorization in Server Systems for Bio-Informatics

Authentication and authorization are two tightly coupled and interrelated concepts which are used to keep transactions secure and help in protecting confidential information. This paper proposes to evaluate the current techniques used for authentication and authorization also compares them with the best practices and universally accepted authentication and authorization methods. Authentication verifies user identity and provides reusable credentials while authorization services stores information about user access levels. These mechanisms by which a system checks what level of access a particular authenticated user should have to view secure resources is controlled by the system

cs.CR↗

arXiv2010

Defect Prevention Approaches in Medium Scale it Enterprises

The software industry is successful, if it can draw the complete attention of the customers towards it. This is achievable if the organization can produce a high quality product. To identify a product to be of high quality, it should be free of defects, should be capable of producing expected results. It should be delivered in an estimated cost, time and be maintainable with minimum effort. Defect Prevention is the most critical but often neglected component of the software quality assurance in any project. If applied at all stages of software development, it can reduce the time, cost and resources required to engineer a high quality product.

cs.SE↗

arXiv2010

Comparison of Genetic Algorithm and Simulated Annealing Technique for Optimal Path Selection In Network Routing

This paper addresses the path selection problem from a known sender to the receiver. The proposed work shows path selection using genetic algorithm(GA)and simulated annealing (SA) approaches. In genetic algorithm approach, the multi point crossover and mutation helps in determining the optimal path and also alternate path if required. The input to both the algorithms is a learnt module which is a part of the cognitive router that takes care of four QoS parameters.The aim of the approach is to maximize the bandwidth along the forward channels and minimize the route length. The population size is considered as the N nodes participating in the network scenario, which will be limited to a known size of topology. The simulated results show that, by using genetic algorithm approach, the probability of shortest path convergence is higher as the number of iteration goes up whereas in simulated annealing the number of iterations had no influence to attain better results as it acts on random principle of selection.

cs.NE↗

arXiv2010

Approaches to Curriculum and Teaching Materials to Bring Out Better Skilled Software Engineers-An Indian Perspective

Development of Curriculum and delivery materials has undergone changes over a period of time, in undergraduate engineering degree system in Indian universities. However, there exists a gap between industry expectations in IT field and skills and knowledge that the graduating engineers possess and this continues to grow. A similar situation has been seen in the developed countries like USA, UK and Australia. Several researchers and practitioners have discussed and tried to come up with innovative approaches to teaching software engineering and IT as a whole. In India, it is of vital importance that steps be taken to address this issue seriously. This paper discusses some of the measures that have been implemented so that this gap is reduced and software engineers with better skills are produced. Changes to curriculum, industry-academia collaboration through conferences, sabbaticals etc., industry internships and live projects for final year students are some of the measures that have been discussed in this paper. The implementation of these measures may lead to fulfilling the growing requirement for skilled software engineers who can handle the industry challenges.

cs.CY↗

arXiv2010

Mapping General System Characteristics to Non- Functional Requirements

The Function point analysis (FPA) method is the preferred scheme of estimation for project managers to determine the size, effort, schedule, resource loading and other such parameters. The FPA method by International Function Point Users Group (IFPUG) has captured the critical implementation features of an application through fourteen general system characteristics. However, Non- functional requirements (NFRs) such as functionality, reliability, efficiency, usability, maintainability, portability, etc. have not been included in the FPA estimation method. This paper discusses some of the NFRs and tries to determine a degree of influence for each of them. An attempt to factor the NFRs into estimation has been made. This approach needs to be validated with data collection and analysis.

cs.SE↗

arXiv2010

A Multicore Processor based Real-Time System for Automobile management application

In this paper we propose an Intelligent Management System which is capable of managing the automobile functions using the rigorous real-time principles and a multicore processor in order to realize higher efficiency and safety for the vehicle. It depicts how various automobile functionalities can be fine grained and treated to fit in real time concepts. It also shows how the modern multicore processors can be of good use in organizing vast amounts of correlated functions to be executed in real-time with excellent time commitments. The modeling of the automobile tasks with real time commitments, organizing appropriate scheduling for various real time tasks and the usage of a multicore processor enables the system to realize higher efficiency and offer better safety levels to the vehicle. The industry available real time operating system is used for scheduling various tasks and jobs on the multicore processor.

cs.AR↗

arXiv2010

Effectiveness Of Defect Prevention In I.T. For Product Development

Defect Prevention is the most critical but most neglected component of the software quality assurance in any project. If applied at all stages of software development, it can reduce the time, cost and resources required to engineer a high quality product. Software inspection has proved to be the most effective and efficient technique enabling defect detection and prevention. Inspections carried at all phases of software life cycle have proved to be most beneficial and value added to the attributes of the software. Work is an analysis based on the data collected for three different projects from a leading product based company. The purpose of the paper is to show that 55% to 65% of total number of defects occurs at design phase. Position of this paper also emphasizes the importance of inspections at all phases of the product development life cycle in order to achieve the minimal post deployment defects.

cs.SE↗

arXiv2010

Fault Tolerance in Real Time Multiprocessors - Embedded Systems

All real time tasks which are termed as critical tasks by nature have to complete its execution before its deadline, even in presence of faults. The most popularly used real time task assignment algorithms are First Fit (FF), Best Fit (BF), Bin Packing (BP).The common task scheduling algorithms are Rate Monotonic (RM), Earliest Deadline First (EDF) etc.All the current approaches deal with either fault tolerance or criticality in real time. In this paper we have proposed an integrated approach with a new algorithm, called SASA (Sorting And Sequential Assignment) which maps the real time task assignment with task schedule and fault tolerance

cs.OS↗

arXiv2010

Gradient Based Seeded Region Grow method for CT Angiographic Image Segmentation

Segmentation of medical images using seeded region growing technique is increasingly becoming a popular method because of its ability to involve high-level knowledge of anatomical structures in seed selection process. Region based segmentation of medical images are widely used in varied clinical applications like visualization, bone detection, tumor detection and unsupervised image retrieval in clinical databases. As medical images are mostly fuzzy in nature, segmenting regions based intensity is the most challenging task. In this paper, we discuss about popular seeded region grow methodology used for segmenting anatomical structures in CT Angiography images. We have proposed a gradient based homogeneity criteria to control the region grow process while segmenting CTA images.

cs.CV↗

arXiv2010

Cognitive Routing with Stretched Network Awareness through Hidden Markov Model Learning at Router Level

The routing of packets are generally performed based on the destination address and forward link channel available from the instantaneous Router without sufficient cognizance of either the performance of the forward Router or forward channel characteristics. The lack of awareness of forward channel property can lead to packet loss or delayed delivery leading to multipleretransmissions or routing to an underperforming pathway. This paper describes an application of Cognitive Network to improve the network performance by implementing a Hidden Markov Model (HMM) algorithm for learning and predicting the performance of surrounding routers continuously while a routing demand is initiated. The cognition segment/domain of every router can gain knowledge about the quality of forward network. The information of the current network conditions is shared between routers by the Forward Channel Performance Index FCPI. This enables complete cognition of surroundings and efficient delivery of messages in various paradigms of performance

cs.NI↗

arXiv2010

Application of Artificial Neural Networks in Aircraft Maintenance, Repair and Overhaul Solutions

This paper reviews application of Artificial Neural Networks in Aircraft Maintenance, Repair and Overhaul (MRO). MRO solutions are designed to facilitate the authoring and delivery of maintenance and repair information to the line maintenance technicians who need to improve aircraft repair turn around time, optimize the efficiency and consistency of fleet maintenance and ensure regulatory compliance. The technical complexity of aircraft systems, especially in avionics, has increased to the point at which it poses a significant troubleshotting and repair challenge for MRO personnel. As per the existing scenario, the MRO systems in place are inefficient. In this paper, we propose the centralization and integration of the MRO database to increase its efficiency. Moreover the implementation of Artificial Neural Networks in this system can rid the system of many of its deficiencies. In order to make the system more efficient we propose to integrate all the modules so as to reduce the efficacy of repair.

cs.NE↗

arXiv2010

Multicast Transmission Prefix and Popularity Aware Interval Caching Based Admission Control Policy

Admission control is a key component in multimedia servers, which will allow the resources to be used by the client only when they are available. A problem faced by numerous content serving machines is overload, when there are too many clients who need to be served, the server tends to slow down. An admission control algorithm for a multimedia server is responsible for determining if a new request can be accepted without violating the QoS requirements of the existing requests in the system. By caching and streaming only the data in the interval between two successive requests on the same object, the following request can be serviced directly from the buffer cache without disk operations and within the deadline of the request. An admission control strategy based on Popularity-aware interval caching for Prefix [3] scheme extends the interval caching by considering different popularity of multimedia objects. The method of Prefix caching with multicast transmission of popular objects utilizes the hard disk and network bandwidth efficiently and increases the number of requests being served.

cs.MM↗