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Gadag A.I.,RVCE | Sagar B.M.,RVCE
2016 International Conference on Computation System and Information Technology for Sustainable Solutions, CSITSS 2016 | Year: 2016

This paper describes the paraphrase generation based on n-gram approach. N-grams are relevant words of text document that can be applied for a range of Natural Language Processing (NLP) applications. The candidate paraphrases are generated based on trigrams approach. The reference paraphrases (keyphrases) are the set of relevant paraphrases, which acts like training data set for generating candidate paraphrases. The task of paraphrase generation is similar to machine translation; hence we used machine translation evaluation metrics. R-precision evaluation metric is used to find the number of common words between candidate and reference paraphrases. © 2016 IEEE.

Alva P.,RVCE | Hegde V.,RVCE
2016 International Conference on Computation System and Information Technology for Sustainable Solutions, CSITSS 2016 | Year: 2016

The process of identifying the sense or meaning of a word where the word has multiple meanings in a sentence is word sense disambiguation. Parts-of-speech tagging refers to a process of assigning a grammatical category like noun, adjective, verb etc. to a word to study the lexical information and context which is used for word sense disambiguation. Calculating Emission and Transition probability using Hidden Markov model is a commendable approach for POS tagging. © 2016 IEEE.

Jayanthi P.N.,RVCE | Ravishankar S.,RVCE
2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings | Year: 2016

One of the major challenge for practical Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM)system is the accurate channel estimation which is veryessential to guarantee the system performance. In this paper,theSubspace Pursuit (SP), Orthogonal Matching Pursuit (OMP) and Compressed Sampling Matching Pursuit(CoSaMP) techniques combined with Minimum Mean Square Error(MMSE) and Least Mean Square(LMS)tools are used to estimate the channel coefficients for MIMO-OFDM system.These algorithms are used for the channel estimation in MIMO-OFDM system to develop the joint sparsity of the MIMO channel. Simulation results shows that SP, OMP and CoSaMP techniques combined with MMSE and LMS tools provides significant reduction in Normalized Mean Square Error (NMSE) vs Signal to Noise Ratio (SNR) when compared to SP,OMP and CoSaMP technique with Least Square (LS) tool and also the conventional channel estimation methods such as LS, MMSE and LMS. Moreover CoSaMP combined with LMS tool performs better than SP and OMP techniques with LMS tool with less computational timecomplexity. © 2016 IEEE.

Gadag A.,RVCE | Sagar B.M.,RVCE
2016 International Conference on Electrical, Electronics, Communication, Computer and Optimization Techniques, ICEECCOT 2016 | Year: 2017

This paper is survey of computational approaches for paraphrasing. Paraphrasing methods such as generation, identification and acquisition of phrases or sentences is a process that conveys same information. Paraphrasing is a process of expressing semantic content of source using different words to achieve the greater clarity. The task of generating or identifying the semantic equivalence for different elements of language such as words sentences; is an essential part of the natural language processing. Paraphrasing is being used for various natural language applications. This paper discuses paraphrase impact on few applications and also various paraphrasing methods. © 2016 IEEE.

Holla A.R.,R.V.C.E | Noorithaya A.,VLSI Design & Embedded Systems | Uttarakumari M.,R.V.C.E
Lecture Notes in Electrical Engineering | Year: 2017

Electronic sensors support activity in health care, energy, transport, environmental sustainability and mineral exploration built environment and across the consumer market. Design and integration of technologies aims to develop sensor systems with intelligence and optimised control. The need of the hour is to develop sensors which are accurate, sensitive, and reliable and at the same time durable, robust, and cost-effective. One of the probable solutions to this is the use of thin-film transistors (TFTs). TFTs are the basis of state-of-the-art modern microelectronics. They are flexible, lightweight, shock-resistant and relatively inexpensive. The commonly used substrate materials are glass, plastic, etc., since the primary TFTs are used in liquid crystal displays and flexible electronics. The materials used for active layer in TFTs are amorphous silicon, zinc oxide, organic compounds, polymers, etc. In this work, different materials were tested as active layers, in simulation using SILVACO software, to test suitability for the sensor application. © Springer Nature Singapore Pte Ltd. 2017.

Sushma S.J.,Visvesvaraya Technological University | Prasanna Kumar S.C.,RVCE
Advances in Intelligent Systems and Computing | Year: 2017

Although, there are various forms of medical image processing techniques for identification of breast cancer, but majority of the technique are either expensive, or time dependent, or doesn’t produce accurate outcomes. We reviewed the recent techniques of breast cancer detection to find that the sole conclusion of presence or absence of disease depends on the skills of a radiologist. The present manuscript introduces a very simple modeling of breast cancer detection followed by multiple level of optimization carried out towards its extracted feature. A transform-based technique is used for feature extraction which is further optimized using particle swarm optimization for precise detection of cancerous tissues within a mammogram. Finally, we use a set of simplified fuzzy rules in order to identify the type of the cancer. The presented system offers faster response time with negligible computational complexity. © Springer International Publishing AG 2017.

Benjamin R.,RVCE | Nageswara Rao M.,Vellore Institute of Technology
Journal of Physics: Conference Series | Year: 2017

Beta titanium (β-Ti) alloys have emerged over the last 3 to 4 decades as an important class of titanium alloys. Many of the applications that they found, particularly in aerospace sector, are such that their high cycle fatigue (HCF) behavior becomes critical. In HCF regime, crack nucleation accounts for major part of the life. Consequently it becomes important to understand the mechanisms underlying the nucleation of cracks under HCF type loading conditions. The purpose of this review is to document the best understanding we have on date on crack nucleation in β-Ti alloys under HCF conditions. Role of various microstructural features encountered in β-Ti alloys in influencing the crack nucleation under HCF conditions has been reviewed. It has been brought out that changes in processing can result in changes in microstructure which in turn influence the time for crack nucleation/fatigue life and fatigue limit. While majority of fatigue failures originate at the surface, subsurface cracking is not uncommon with β-Ti alloys and the factors leading to subsurface cracking have been discussed in this review. © Published under licence by IOP Publishing Ltd.

Anala M.R.,RVCE | Shetty J.,RVCE | Shobha G.,RVCE
Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013 | Year: 2013

Server virtualization is an emerging technology that provides efficient resource utilization and cost-saving benefits. It consolidates many physical servers into a single physical server saving the hardware resources, physical space, power-consumption, air conditioning capacity and man power to manage the servers. Thus virtualization assists 'Green Technology'. Live migration is an essential feature of virtualization that allows transition of a running virtual machine from one system to another without halting the virtual machine. Live migration extends the list of benefits server virtualization provides. Almost all virtualization softwares now include support for live migration of virtual machine. Live migration is in its infant stage where security of live migration is yet to be analyzed. The usages of live migration and security exploits over it have both increased over time. The security concern of live migration is a major factor for its adoption by the IT industry. In this paper we discuss the attack model on the virtualization system and design and implement a security framework for secure live migration of virtual machines. The framework is an integrated security solution that addresses role based access policy, network intrusion, firewall protection and encryption for secure live migration process. © 2013 IEEE.

Shilpa D.R.,RVCE | Uma B.V.,RVCE
Procedia Computer Science | Year: 2016

Design automation is one of the key requirements of today's growing ASIC/SOC design process. The era of high speed and high density designs has led the design engineers various challenges. As the technology is scaling, one of the major concerns of VLSI design is signal integrity. Crosstalk is the major cause of signal integrity that occurs due to coupling of charge between the conducting interconnects.Most of the CAD tools available in the market addresses this issue at the post layout level. But tackling crosstalk at the stage when the design is ready for fabrication may not be always feasible in terms of area and power overheads. This paper proposes a novel CAD tool which performs an optimization to crosstalk effect at architectural level using High Level Synthesis (HLS) procedures. The proposed work performs crosstalk aware simultaneous scheduling, binding and allocation of resources in the given data flow graph using hybrid genetic and simulated annealing algorithm (GASA). The data flow graph of an intended design is fed as an input to the tool and it generates corresponding crosstalk optimized verilog code as an output. The obtained design is synthesizable in any of the commercial tool. The work is tested on 3X3 matrix multiplier and experimental result shows that there is 65.07% improvement in crosstalk delay and hence the Signal Integrity. Hence this work suggests a technique for architectural level crosstalk optimization. © 2016 The Authors. Published by Elsevier B.V.

Manujakshi B.C.,Acharya Institute of Technology | Ramesh K.B.,RVCE
Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2016 | Year: 2016

In recent years, there is a high growth in wireless sensor network (WSNs) for secure communications or sensor network applications. It has been seen that sensor applications are revised with upcoming technologies in order to meet the demands. There is a requirement of efficient design and implementation of WSNs, due to the huge SNs to allow applications which connect the physical world to the virtual world. With a wide range of applications for SNs, some of the application areas are health, military, and security will create issues in data transmissions from one sensor network to another sensor network. As sensors gathers complex data, it is quite a difficult job to understand how far it can be valuable with respect to analysis. Owing to inherent complexities e.g. size, heterogeneity, un-structuredness, etc. it may pose serious problems in futuristic sensor data analytics over cloud. This paper discusses about the techniques used in managing sensor data over cloud to understand the existing system and its effectiveness. © 2016 IEEE.

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