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Pathak S.,Lakshmipat University | Jain S.,Lakshmipat University
Eurasip Journal on Wireless Communications and Networking | Year: 2017

In mobile ad hoc network, each node is capable of sending message (data) dynamically without requirement of any fixed infrastructure. Mobile nodes frequently move in/out from the network dynamically, making network topology unstable in mobile ad hoc network (MANET). As a result, it becomes an extremely challenging task to maintain stable network. In this research article, we have proposed an optimized stable clustering algorithm that will provide more stability to the network by minimizing the cluster head changes and reducing clustering overhead. In proposed algorithm, a new node is introduced which acts as a backup node in the cluster. Such backup node acts as cluster head, when actual cluster head moves out (or died) from the cluster. Latter, the cluster head reelect a new backup node. This practice keeps network availability without disturbance. Further, the priority of cluster head and backup node is calculated based on the node degree and the remaining battery life for mobile nodes. Decision for electing cluster head and backup node depends on the priority factor. © 2017, The Author(s).


Bhaduri S.C.,Lakshmipat University
Energy Procedia | Year: 2017

The outcome of R407C as a drop in replacement of R22 has been reviewed in this paper. As per Montreal Protocol, R22 is going to be phase out due to its unfavourable impacts related to environment e.g. ozone depletion potential (ODP) and global warming potential (GWP). R407C has zero ODP and considerably GWP as compared to R22. The releasing of refrigerants in the surroundings becomes the cause of issues pertinent in environment. A detailed review about the experimental studies associated with the performance of R407C is provided. The aim is to put together all the diversified information about the R407C in a single paper. It is found after the careful observation that R22 performs somewhat better than R407C in many aspects i.e. COP, Cooling Capacity, Energy Consumption, and Exergetic Analysis but retrofitting point of view, it is best suitable refrigerant and R410A is suitable for new design. © 2017 The Authors.


Kedawat G.,University of Rajasthan | Srivastava S.,University of Rajasthan | Jain V.K.,Lakshmipat University | Kumar P.,National Physical Laboratory India | And 4 more authors.
ACS Applied Materials and Interfaces | Year: 2013

We report a design and fabrication strategy for creating an artificially stacked multilayered optical filters using a thermal evaporation technique. We have selectively chosen a zinc sulphide (ZnS) lattice for the high refractive index (n = 2.35) layer and a magnesium fluoride (MgF2) lattice as the low refractive index (n = 1.38) layer. Furthermore, the microstructures of the ZnS/MgF2 multilayer films are also investigated through TEM and HRTEM imaging. The fabricated filters consist of high and low refractive 7 and 13 alternating layers, which exhibit a reflectance of 89.60% and 99%, respectively. The optical microcavity achieved an average transmittance of 85.13% within the visible range. The obtained results suggest that these filters could be an exceptional choice for next-generation antireflection coatings, high-reflection mirrors, and polarized interference filters. © 2013 American Chemical Society.


Jain S.,Lakshmipat University | Pareek J.,Gujarat University
International Journal of Metadata, Semantics and Ontologies | Year: 2013

To provide an adaptive guidance to the student through learning object repositories, a system needs to have knowledge about the learner as well as material. This paper discusses identification of metadata that describes the pedagogical aspects of a document. Learning goals and prerequisites, if stored as part of metadata, can be utilised for intelligent recommendations. Manual annotation is a time consuming and expensive process. Correct instantiation of learning object metadata requires combined educational and technical skills. This paper proposes natural language processing-based automatic concept extraction and outlines rule-based approach for separation of prerequisite concepts and learning outcomes covered in learning document. The importance of automatic extraction of prerequisite terms is strengthened after evaluation of this work, since results show that concepts missed by authors are suggested by the system. To increase precision of retrieval, subject domain ontology is used. Copyright © 2013 Inderscience Enterprises Ltd.


Kaushik M.,JECRC University | Kumar G.,Lakshmipat University
Lecture Notes in Engineering and Computer Science | Year: 2015

This investigation deals with a markovian analysis for software reliability model using errors generations and imperfect debugging. Three types of errors are taken into consideration for developing a software reliability model. The debugging is done in a manner without distinguishing between the three types of errors. Moreover, Runge-Kutta (RK) method of fourth order is applied for analyzing the software reliability of different configurations under transient condition. Various characteristics of software reliability assessment are suggested. The effect of different parameters on system performance indices are demonstrated graphically.


Dubey A.K.,Lakshmipat University | Gupta U.,Lakshmipat University | Jain S.,Lakshmipat University
Asian Pacific Journal of Cancer Prevention | Year: 2015

Breast cancer is a menacing cancer, primarily affecting women. Continuous research is going on for detecting breast cancer in the early stage as the possibility of cure in early stages is bright. There are two main objectives of this current study, first establish statistics for breast cancer and second to find methodologies which can be helpful in the early stage detection of the breast cancer based on previous studies. The breast cancer statistics for incidence and mortality of the UK, US, India and Egypt were considered for this study. The finding of this study proved that the overall mortality rates of the UK and US have been improved because of awareness, improved medical technology and screening, but in case of India and Egypt the condition is less positive because of lack of awareness. The methodological findings of this study suggest a combined framework based on data mining and evolutionary algorithms. It provides a strong bridge in improving the classification and detection accuracy of breast cancer data.


Sharma R.,Lakshmipat University
Lecture Notes in Engineering and Computer Science | Year: 2015

In this study, we deal with the reliability analysis of repairable system under N-policy, setup and imperfect coverage. The repairman is turned on only when 'N' and more failed components are accumulated in the system for providing repair. The system consists of 'M' operating, 'S' warm and 'Y' cold standby components. As any component fails, it is immediately replaced by standby component if available with coverage probability 'c'. The life and repair times of component are assumed to be exponentially distributed. Various reliability performance measures are obtained using Runge-Kutta (RK) method. Moreover, numerical results are also provided by taking an illustration. Finally, the conclusion has been given.


Pathak S.,Lakshmipat University | Jain S.,Lakshmipat University
Wireless Networks | Year: 2015

Cluster based routing in Mobile AdHoc Networks are considered one of the convenient method of routing. Existence of Cluster Head (CH) in a group of nodes for data forwarding improves the performance of routing in terms of routing overhead and power consumption. However, due to the movement of CH and frequent change in cluster members, cluster reformation is required and increases cluster formation overhead. The stability of the cluster highly dependent of stability of the CH and hence during CH selection special care should be taken so that the cluster head survives for longer time. In this paper a method of cluster formation is proposed which will take into account two most vital factor node degree and bandwidth requirement for construction of the cluster and selection of the cluster head. Further, when two clusters come closer to each other they merge and form a single cluster. In such case out of two CHs one has to withdraw the role and other will take over. A new mechanism of merging two clusters is also proposed in the paper. We call this method as an Improved Cluster Maintenance Scheme and primarily focused on minimizing CH changing process in order to enhance the performance. The stated method makes cluster more stable, and minimizes packet loss. The proposed algorithm is simulated in ns-2 and compared with Least Cluster head Change (LCC) and CBRP. Our algorithm shows better behavior in terms of number of clusterhead changes or number of cluster member changes. © 2015 Springer Science+Business Media New York


Khanna P.,Lakshmipat University | Jain S.,Lakshmipat University | Babu B.V.,Galgotias University
ARPN Journal of Engineering and Applied Sciences | Year: 2015

This research analyzes the performance of a distributed cloud broker in a live cloud environment, utilizing a government owned, private, federated cloud. The paper explores functioning of a distributed cloud broker that assists in the provisioning of services to geographically distributed data centers. The data centers have volunteered to federate and expose their utilization metrics to each other through the cloud broker. The experimental infrastructure utilizes the closed schema for federation. The cloud broker is responsible for match making and bundling/provisioning of services from multiple private cloud providers, through volunteer and federated data centers. This has been tested under multiple load conditions. The proposed distributed cloud broker handles the load on the cloud ecosystem through a strictly controlled mechanism in a private cloud ecosystem, custom routing all overload conditions (cloud bursting scenario) on specific private clouds through a common interface visible to the Amazon Web Services (AWS). The proposed broker mechanism shows high efficiency and lesser cloud bursting instances compared to a pure AWS based ecosystem. The work also analyzes real world issues faced by organizations handling cloud brokerage frameworks in a distributed manner. The research asserts that it is possible to create customized distributed cloud brokers and the perspective of using a hybrid cloud approach using distributed broker in federated clouds is feasible, albeit in a tightly integrated and fine tuned cloud environment. © 2006-2015 Asian Research Publishing Network (ARPN).


Rijwani P.,Lakshmipat University | Jain S.,Lakshmipat University
Procedia Computer Science | Year: 2016

Software Effort Estimation models are hot topic of study over 3 decades. Several models have been developed in these decades. Providing accurate estimations of software is still very challenging. The major reason for such disappointments in projects are because of inaccurate software development norms; effort estimation is one such practice. Dynamically fluctuating environment of technology in software development industry make effort estimation further perplexing. One of the most commonly used algorithmic model for estimating effort in industry is COCOMO. Capability of machine learning particularly Artificial Neural Networks is to adjust a complex set of bond among the various independent and dependent variables. The paper proposes usage of ANN (Artificial Neural Network) based model technologically advanced using Multi Layered Feed Forward Neural Network which is given training with Back Propagation training method. COCOMO data-set is accustomed to test and train the network. Mean-Square-Error (MSE) and Mean Magnitude of Relative-Error (MMRE) are used as performance measurement indices. The experiment outputs suggest that the suggested model can provide better results and accurately forecast the software development effort. © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.

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