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International Conference on Research Advancements in Engineering Science And Information Technology
ICRAESIT-2015
📅 Date: 20th December 2015
🏫 Organized by: B V Raju Institute of Technology, Narsapur
Unsteady MHD Free Convection Flow past a Vertical Porous Plate Considering Radiation and Volume Fraction Effects in a Nanofluid
Thirupathi Thumma, Siva Reddy Sheri
A study on Parallelization of Scientific Workflows and Integration of Swift and Galaxy Systems
Dr. M. Suresh Babu, A. Vijay Kumar, M.N.L. Anuradha
SaaS Model Security Issues In Cloud Computing
G. Sudhakar, Dr. Ahrmed Abdul Moiz Qyser, Dr. S. Durga Bhavani
Mutation Analysis Algorithms for Testing Object Oriented Classes
T. Shyam Kumar, Dr. Amjan Shaik, Dr. Neelakantappa.M
In Detail Comparative Study of Application of Erasure Coding on Various Cloud Storage
Ram Prakash Kota, Dr. Rajasekhara Rao Kurra
A Common Fixed Point Theorem in Fuzzy Metric Space using Implicit Relation
P Srikanth Rao, T Rakesh Singh
A Model for Automated Web Service Composition in Dynamic Environment
Dr. Neelakantappa. M, Dr. Amjan Shaik, M. Revathi
“Structural Analysis of Reinforced Concrete beams Laminated With and Without Fiber Reinforced Polymer”
Milan Motta, Rahul Pachori, Yashesh Ahirwar
Numerical Study of Heat & Mass Transfer on an Unsteady MHD Flow Past a Vertical Accelerated Plate Considering Soret and Dufour Effects: FEM
D. Mahendar, P. Srikanth Rao
RPHPLC Method Development and Validation for Simultaneous Determination of Linagliptin and Empagliflozine in Tablet Dosage Form
P. Madhusudhan, M. Radhakrishna Reddy and N. Devanna
Neural Network Based Approaches for Software Defect Prediction Based on Software Matrix
Ch.Madhu Babu, Dr. A.Vinaya Babu
Development of new methodology for the synthesis of enamino analogues employing by ‘Ferric ammonium nitrate’/ ‘Nano Copper ferrite’ catalyst and evaluation of brine shrimp lethality bioassay
Shaik Lakshman, Y.L.N.Murthy and V.D.N.Kumar Abbaraju
Analysis of Health Care Systems using Advanced Requirement Engineering Process
R. Krishna Nayak, Dr.A.Jagan
An Approach for Classification of Images as Centerline or Contour Using Skeletonization Algorithms
Dr M Rama Bai, J SreeDevi
Pursuance Model for Cloud Analytics (PMCA) – An Analysis
S.Hemanth Chowdary, Sujoy Bhattacharya, K.V.V.Satyanarayana
Enhanced Better Information Elegance with Wireless Sensor Networks WSN’s
Konda. Hari krishna, Dr. Tapas Kumar, Dr. Y. Suresh Babu
A Novel Block Switch Logic For State-Skip Test Pattern Generation In Built In Self Test Scheme
Y.Sreenivasula Goud, Dr. B.K.Madhavi
A Study on Cryptographic Algorithm and Key Identification Using Genetic Algorithm for Parallel Architectures
Sunar Mohammed Farooq, Nageswara Reddy Karukula, J.David Sukeerthi Kumar
Literature Survey on High Resolution Direction of Arrival (DOA) Algorithms
M.Devendra, Dr. K. Manjunathachari
A Framework to Detect Most Efficient Image Compression Technique on Cloud Storage
Dasaradha Ramaiah K and T. Venugopal
A Pattern Recognition Approach for Differential Protection Method to Detect Transformer Faults
Dr.Jammi Ashok, Dr.Amjan Shaik, Dr.Neelakantappa.M
Abstract
Unsteady MHD Free Convection Flow past a Vertical Porous Plate Considering Radiation and Volume Fraction Effects in a Nanofluid
Thirupathi Thumma, Siva Reddy Sheri
Abstract: This paper investigates the unsteady magneto hydrodynamic free convection flow past a vertical porous plate considering radiation and volume fraction effects in a nanofluid. It is assumed that the plate oscillate with constant frequency in time. The transformed coupled, dimensionless partial differential equations are solved numerically by using finite element method. The influence of physical parameters on velocity, temperature profiles are discussed and depicted with the aid of graphs. Finally the numerical values of skin friction and Nusselt number with in the boundary layer are compared to ensure the correctness of this numerical scheme. This investigation has great practical importance in many branches of Science, Engineering and Technology viz. cooling applications, material processing, biomedical application s and other possible areas. Keywords: Nanofluid, Volume fraction, Radiation, MHD, FEM.
Abstract
A study on Parallelization of Scientific Workflows and Integration of Swift and Galaxy Systems
Dr. M. Suresh Babu, A. Vijay Kumar, M.N.L. Anuradha
Abstract: Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Although it was initially developed for genomics research, it is largely domain agnostic and is now used as a general bioinformatics workflow management system. While user-friendly and intuitive for doing small to medium-scale computations, it currently has limited support for large-scale parallel and distributed computing. The Swift parallel scripting framework is capable of composing ordinary applications into parallel scripts that can be run on multiscale distributed and performance computing platforms. Swift is an implicitly parallel programming language that allows the writing of scripts that distribute program execution across distributed computing resources, including clusters, clouds, grids, and super computers. Swift implementations are open source under the Apache License, version 2.0.In complex distributed environments, and often the user end of the application lifecycle slows because of the technical complexities brought in by the scale, access methods, and resource management nuances. Galaxy offers a simple way of designing, composing, executing, reusing, and reproducing application runs. Integration between the Swift and Galaxy systems can accelerate science as well as bring the respective user communities together in an interactive, user friendly, parallel and distributed data analysis environment enabled on a broad range of computational infrastructures. Keywords: Swift, Galaxy, Big Data, scientific applications.
Abstract
Medical Application of Bounding Box Technique
Dr. H. Sujana, S. Chandra Prakash, Rohith Sirpa
Abstract: Medical image processing is one of the most emerging and challenging field now-a-days. Magnetic Resonance Imaging (MRI) is an imaging technique which uses a magnetic field and radio-frequency waves to create detailed images of the organs and tissues within the body. Important diagnostic information can be obtained by processing of MRI images. Brain tumours are generally an abnormal intra-cranial growth caused by cells reproducing themselves in an uncontrolled manner. Early detection of cancers caused due to tumours can be helpful in curing the disease completely. The proposed technique is used to detect brain tumour and oedema from MRI scans using bounding box symmetry method. This technique incorporates noise removal functions (High-pass and Median filters), segmentation and morphological operations. This method is generally used to know the severity of the disease in terms of size of the tumour. This technique is also applied for detecting oedema in tissues. Keywords: Magnetic Resonance Imaging, Brain Tumour, Oedema, Bounding Box Technique, Threshold Segmentation, Morphological Operation.
Abstract
SaaS Model Security Issues In Cloud Computing
G. Sudhakar, Dr. Ahrmed Abdul Moiz Qyser, Dr. S. Durga Bhavani
Abstract: Cloud computing has emerged as a popular Computing model, with numerous advantages both to end users and providers in the form of providing convenience and reliable services to the end user. In few years, acceptance of cloud computing from Small ,Medium Enterprises (SME's) to major enterprises is increasing, but businesses are now finding difficult with the number of issues related to security which are been addressed, when end users venture into the cloud. If one wishes to enable cloud-driven growth and innovation through security, one must have a clear framing on what is meant by cloud security. Cloud security has been notoriously hard to define in the general case. Security concerns grow up as more and more sensitive date is communicated in the internet and when placed in the cloud. Building trust in the providers also is a very major problem when we adapt Cloud computing. The biggest disaster for the Organizations is breaching in the security components of the cloud. The major concern in the SaaS Model is security to the Data hosted in the service provider's datacenters. Keywords: SME's, Cloud Driven, security, SaaS, Service Provider.
Abstract
Electronic Railway Control and Safety System
Simpi Kumari, Syed Abudhagir.U
Abstract: Integrating features of all the hardware components used have been developed in it. Presence of every module has been reasoned out and placed carefully, thus contributing to the best working of the unit. Secondly, using highly advanced IC's with the help of growing technology. In this work, Electronic Railway Control and Safety System (EMRCS) has been successfully designed, implemented and tested. We mainly intended to protect the passengers of train using fire sensors and automatic control the unmanned level crossing gate from long distance. Electronic Railway Control and Safety System (EMRCS) has been successfully designed, implemented and tested. This paper aims in detection of occurrence of fire in railways. Fire detection should be taken place in right time to avoid damage. The fire extinguishers like sprinkling water; air coolants etc can be automatically operated. Keywords: Railway Safety, Fire detection, ERCS System, PIC16F876A.
Abstract
Mutation Analysis Algorithms for Testing Object Oriented Classes
T. Shyam Kumar, Dr. Amjan Shaik, Dr. Neelakantappa.M
Abstract: In this paper, we present TEST, an approach that automatically generates unit tests for object-oriented classes based on mutation analysis. By using mutations rather than structural properties as coverage criterion, we not only get guidance in where to test, but also what to test for. This allows us to generate effective test oracles, a feature raising automation to a level not offered by traditional tools.To assess the quality of test suites, mutation analysis seeds artificial defects (mutations) into programs; a non-detected mutation indicates a weakness in the test suite. We present an automated approach to generate unit tests that detect these mutations for object-oriented classes. This has two advantages: First, the resulting test suite is optimized toward finding defects modelled by mutation operators rather than covering code. Second, the state change caused by mutations induces oracles that precisely detect the mutants. Evaluated on 10 open source libraries, our _TEST prototype generates test suites that find significantly more seeded defects than the original manually written test suites. Improving test cases after mutation analysis usually means that the tester has to go back to the drawing-board and design new test cases, taking the feedback gained from the mutation analysis into account. This process requires a deep understanding of the source code and is a nontrivial task. Automated test generation can help in covering code (and thus hopefully detecting mutants), but even then, the tester still needs to assess the results of the generated executions-and has to write hundreds or even thousands of oracles. The test cases of an existing test suite are executed on a program version (mutant) containing one such fault at a time in order to see if any of the test cases can detect that there is a fault. A mutant that is detected as such is considered dead and of no further use. A live mutant, however, shows a case where the test suite potentially fails to detect an error and therefore needs improvement. There are two main problems of mutation analysis: First, the sheer number of mutants and the effort of checking all tests against all mutants can cause significant computational costs. Second, equivalent mutants do not observably change the program behaviour or are even semantically identical, and so there is no way to possibly detect them by testing. Keywords: Mutation analysis, Testing, Object-Oriented Classes, Test Generation.
Abstract
Study of Edge Detection Algorithms
Mr. K. Sharath Kumar, Dr. M. Rama Bai
Abstract: Edge detection is a very important area in the field of Computer Vision. Edges define the boundEdge detectors are local image processing methods designed to detect edge pixels in an image. Edge detection is the approach used most frequently for segmenting images based on abrupt changes in intensity. The best edge detector is the human eye.An edge represents the boundaries of an object in an image, there by representing the structural properties of the object. This paper shows the comparisons among the various edge detection algorithms. From the results it is observed that the canny edge detector performance is far superior than the Sobel, Prewitt, Roberts and Laplacian of Gaussian. (LoG). Keywords: Edge Detection, Sobel, Prewitt, Roberts, LoG, Canny.
Abstract
Secure Agent Based Optimized Medical Record Analysis
N. Satyanandam, Dr Ch. Satyanarayana
Abstract: With the tremendous growth in human population and the need for better clinical treatments, the medical data or the medical record accumulation, storage and mining becomes the need for the advancement of human medical facilities thus demands a high focus of research. The medical record is been accumulated over the time for every single person during all the phases of clinical treatments starting from initial diagnostics to major medicated treatment or major surgical treatments to post treatment check-ups. The medical record accumulated by the hardware or software agents in the system. These records are been stored in the healthcare management systems owned by the hospital or sometimes by the agencies. However the data is heterogeneous in nature, hence the storage systems also demand to be heterogeneous in nature along with the processing systems. Hence defining any framework for predictive analysis of heterogeneous data is also demanding the high research aggregation. The accumulation of the data needs to be pre-processed to satisfy generic storage and processing for predictive analytic systems. The medical record storage is to be optimized for sharing with multiple hospitals or healthcare agencies to reduce the diagnostic cost and time. Moreover Data mining techniques are also to be analysed in order to recommend the most suitable mining techniques for medical records. Hence this work study and understand the available medical data accumulation agent architectures to identify the need for improvements and propose required up-gradation to the existing practices, study and analyse the existing medical record storage systems and propose up-gradation to the practices for better information exchange and finally propose a novel pre-processing technique for normalization of the data for better storage, mining and exchange. Keywords: Medical Record, Agent based Architecture, Mobile Medical Agent, Storage Architecture, Record Mining.
Abstract
Power Efficient and Robust Ubiquitous Sensor Networks
S. Sanjeeva Rayudu, S. Madhavi
Abstract: Ubiquitous Sensor Networks need to extend the features like minimum power utilization for transmitting large amount of data through sensors increase the security in case of node identification by the jammer and to reduce the untrusted nodes by constructing self organizing trusted node network by adding so many features like integrating LEACH with CDMA instead of TDMA. We have proposed the new method to improve the security by hopping method which converts the real data into noise by using pseudo random code. Pseudo random code diverts the intruders in the way that they will only concentrates on data without noise. Here we transmit the data in the form of noise. To convert the data in the form of noise we use spread spectrum technique. M-ary PSK will control the high power consumption which is included in frequency hopping CDMA. Keywords: USN, Frequency Hopping, Pseudo Random Code, Spread Spectrum, M-ary PSK, LEACH with FHCDMA.
Abstract
Issues and Challenges on Big Data- A Survey
B. Rupa, Dr. N. Sandhya
Abstract: In the last few years, the growth in hardware technology has made it for many companies to store huge amount of data. The data streams are infinite and it can be found in many applications. Data will arrive continuously as a stream in a dynamic fashion, processing and querying of these streams are challenging tasks. Big data is a set of techniques and technologies that require new forms of integration to uncover large hidden values from large datasets that are diverse, complex, and of a massive scale. Big data environment is used to acquire, organize and analyze the various types of data. There is a requirement of efficient data mining techniques which can handle the streaming data. In this paper we explore various issues and challenges on Big Data. Keywords: Data Mining, Data Stream, Big Data, Hadoop.
Abstract
In Detail Comparative Study of Application of Erasure Coding on Various Cloud Storage
Ram Prakash Kota, Dr. Rajasekhara Rao Kurra
Abstract: With the increasing demand of cloud computing and hence forth the demand of cloud storage for multiple application, it is a high priority research demand for secure and efficient replication of the data. Moreover the failure is an added component of risk to cloud storage. Though replicating data over cloud storage service providers is a common task considering the low cost data recovery. However over replication of data may lead to integrity problem with un-effective cost factor. Multiple work share been addressing the same issue over a period of time to find the most effective replication algorithm. But with a specific focus on domain dependent data and service providers. Hence in this work we propose a comparative study of Erasure algorithm on various cloud service providers. This work also demonstrates a theoretical framework for cost effective storage replication and discussion the performance. Keywords: Erasure, RAID, RAID 4, RAID 5, Array Code, Reed - Solomon Code, Azure, Amazon S3, Performance Matrix
Abstract
A Common Fixed Point Theorem in Fuzzy Metric Space using Implicit Relation
P Srikanth Rao, T Rakesh Singh
Abstract: The aim of this paper is to present a common fixed point theorem in fuzzy metric space using weak** commuting property for six self maps satisfying an implicit relation which generalize and unify the existing results of [3], [6], [7], [8] ,[9]and [10]. Keywords: Fuzzy metric space, Weak** commutative mapping, Common fixed point, Implicit relation.
Abstract
Bioinformatics – Its Challenges
B. Pradeep Kumar Reddy, S. Srinuvasarao
Abstract: Bioinformatics is a new science that is glowing out in the recent years. It is a multidisciplinary science that is made out of different kinds of other scientific fields like biology, computer science, chemistry, statistics, mathematics and others. Bioinformatics as it applied to medicine has changed over the years from its origins in sequence analysis and data management. It has moved from its computer science roots to interdisciplinary applications. It was a big challenge for researchers to describe this new field in a systematic scientific way and bring out the attention of its applications and services; one of these important services that Bioinformatics can be applied in, is the cancer studies, research and therapies for many beneficial reasons. This field has experienced tremendous growth since the early 2000's at the start of The Human Genome Project and has been used heavily in proteomics and genomics. The use of FPGA's is a promising way to increase computing speed, and computer tools such as BLAST and iBIRA make the ever-growing amount of biological data more manageable. Bioinformatics has a profound impact in medical sciences. The biological databases are helping physicians to diagnose the disease and develop strategies for its therapy. This paper will give a clear glance overview of bioinformatics, its definition, aims, applications, technologies, the large amount of data produced in the biological field and how bioinformatics can organize, analyse and store them, discuss some algorithms that can be implemented over bioinformatics data. Keywords: Bioinformatics, Applications, Technologies, Data, Algorithms.
Abstract
Chain Drive Steering Mechanism for a Four Wheeler
A. Padma Rao and Manzoor Hadi
Abstract: Steering is one of the essential requirements of an automobile. This mechanism should be capable of giving correct steering. Incorrect steering mechanism may cause skidding of the tires on the road, leading to excess wear, noise and reduction in life of tires. In this paper an effort is made to develop a steering mechanism using chain drive which may substitute the Ackermann mechanism. This mechanism is entirely mechanical, simple, trust worthy and gives better steering. Keywords: Steering Mechanism, Correct Steering, Chain Drive, Bell crank lever.
Abstract
A Model for Automated Web Service Composition in Dynamic Environment
Dr. Neelakantappa. M, Dr. Amjan Shaik, M. Revathi
Abstract: The ability to perform web service discovery and composition automatically and dynamically is essential and has emerged as an important research topic. Automated web service composition deals with the significant increase in the number of available services over time, as well as frequent changes in their definitions. It enables significantly faster responses to user queries for composite services, compared to the manual case. Also, it produces compositions up-to-date with the latest web service definitions, despite the dynamic environment. Also permits approximate composition and enables the quality assessment of the produced composite services in terms of accuracy by using AI techniques especially planning. The framework maintains compatibility with the current standards, to ensure interoperability, and it is independent from specific planners. The model devised in this paper focuses on the addition of the OWL-S descriptions of produced composite services in the registry of available services, to explore the possibility to accelerate the composition process. Keywords: MMKP, MILP, LP, BPEL.
Abstract
“Structural Analysis of Reinforced Concrete beams Laminated With and Without Fiber Reinforced Polymer”
Milan Motta, Rahul Pachori, Yashesh Ahirwar
Abstract: As Hundreds of new materials appear on the market each month, each of these materials has its characteristics, applications, advantages, limitations and cost. Thus, the task of knowing the properties and behavior of all types numerous studies has been carried out. Life cycle assessment has become an important tool for determining the overall performance of component. So, nonlinear Finite Element Analysis (FEA) has been carried out in this paper to simulate the behavior of failure modes of reinforced concrete (RC) beams strengthened in flexure by fiber reinforced polymer (FRP) laminates. Two beams were modeled in fem software using ANSYS. In those two beams, one beam is control beam without FRP and other beam is Glass Fiber Reinforced Polymer (GFRP) strengthened beams. From the analyses the load deflection relationships, maximum deformation, factor of safety, von-misses stresses, crack pattern, first crack load and ultimate load was obtained and compared with the experimental results available in literature. The load deflection plots obtained from numerical studies show good agreement with the experimental plots. There was a difference in behavior between the RC beams strengthened with and without GFRP layers. Keywords: Fiber Reinforced Polymer, FEA, Structural Analysis, Reinforced Concrete.
Abstract
Dynamic Resource Allocation for Efficient Parallel Data Processing in the Cloud
Manjula.J
Abstract: Major Cloud computing companies have started to integrate frameworks for parallel data processing in their product portfolio, making it easy for customers to access these services and to deploy their programs. However the processing frameworks which are currently used have been designed for static, homogeneous cluster setups and disregard the particular nature of a cloud. Consequently, the allocated compute resources may be inadequate for big parts of the submitted job and unnecessarily increase processing time and cost. We discuss here the opportunities and challenges for efficient parallel data processing in clouds and present our research project Nephele. Particular tasks of a processing job can be assigned to different types of virtual machines which are automatically instantiated and terminated during the job execution. Based on this new framework, we perform extended evaluations of Map Reduce-inspired processing jobs on an IaaS cloud system and compare the results to the popular data processing framework Hadoop. Keywords: Cloud Computing, Hadoop, Iaas, Amazon, Virtual Machine.
Abstract
Numerical Study of Heat & Mass Transfer on an Unsteady MHD Flow Past a Vertical Accelerated Plate Considering Soret and Dufour Effects: FEM
D. Mahendar, P. Srikanth Rao
Abstract: The aim of this paper is to investigate the numerical study of heat and mass transfer on an unsteady MHD flow past a vertical accelerated plate considering Soret and Dufour effects. The governing nonlinear partial differential equations are solved by finite element method and the numerical results are obtained for velocity, temperature, concentration, skin friction, Nusselt number and Sherwood number. The effects of different flow parameters on the flow variables are discussed and presented through graphs and tables. Finally, the numerical results for some special cases were compared with previous results to ensure the correctness of this numerical scheme and were found to be in excellent agreement. Keywords: Soret and Dufour effects, Chemical reaction, MHD, Heat and Mass Transfer.
Abstract
RPHPLC Method Development and Validation for Simultaneous Determination of Linagliptin and Empagliflozine in Tablet Dosage Form
P. Madhusudhan, M. Radhakrishna Reddy and N. Devanna
Abstract: A novel, simple rapid reverse phase high performance chromatography (RPHPLC) method has been developed and validated for the determination of Linagliptin and Empagliflozine in tablet dosage form. Isocratic chromatography has been developed on a ODS column (250 x 4.6mm, 5µ) with a mobile phase consists of buffer and Acetonitrile (45:50) with the flow rate of 1ml/min with PDA detector at 245 nm. The total run time was 7 minutes. The retention time for Lingaliptin and Empagliflozine were found to be 2.2 and 3.6 min respectively. Chromatography parameters were validated as per ICH guidelines and can be applied for routine quantitative analysis of drugs in combined tablet dosage form. Keywords: ICH, Validation, Empagliflozine, Linagliftin.
Abstract
Neural Network Based Approaches for Software Defect Prediction Based on Software Matrix
Ch.Madhu Babu, Dr. A.Vinaya Babu
Abstract: With the growing demand for high quality software in industries with lower time complexity and lower requirements for memory consumptions, the need for identifying the defects in the software cannot be ignored. The software development industry deploys huge manpower to estimate, detect and resolve the defects in the software to match the customer requirements and ensure the quality in the product. The process involves development and testing in iteration to detect the defects in the software. However the process of detection and resolving the defects is long resulting in various problems like mismatching the cost estimations in the upcoming development modules. Whereas, an automatic prediction technique based on the pre-generated software defect matrix can be deployed to correctly or nearly correct predictions to help in estimating the defects may raise in the upcoming modules. Hence in this work we try to investigate and understand the data mining techniques using neural network approach for defect prediction in software development. This work also results in modification notes to the existing processes by deploying a unique pre-processing technique for the defect matrix data using cumulative and normalized distribution of the initial data. The work will demonstrate the improvements in the existing works with the proposed pre-processing techniques. Keywords: Neural Network, Software Matrix, Defect Prediction, Software Development.
Abstract
Development of new methodology for the synthesis of enamino analogues employing by ‘Ferric ammonium nitrate’/ ‘Nano Copper ferrite’ catalyst and evaluation of brine shrimp lethality bioassay
Shaik Lakshman, Y.L.N.Murthy and V.D.N.Kumar Abbaraju
Abstract: The synthesis of enamino carbonyl compounds, enamino curcumin analogues using Ferric (III) Ammonium Nitrate/Nano Copper Ferrite catalyst. The title compounds were screened for Brine shrimp Lethality bioassay. ß-Enamino carbonyl compounds and esters are the important and valuable synthones for the construction of bio-active heterocycles such as pyrazoles, oxazoles, quinolines, dibenzodiazepines, pyridinones, tetrahydrobenzoxazines, tetronic acids and tetrahydro phenanthridines. They have been used for the preparation of different important antibacterial, anti inflammatory, anticonvulsant and antitumour agents. They are also important precursors for the synthesis of 3-amino sugar derivatives, azo compounds, ß-amino ketones, hexahydroazulenes and indolizidine alkaloids. The following scheme explains the synthesis of ß-Enamino curcumin compounds(IV and V) which are potent anticancer activity. Keywords: ß-Enamino Curcumin compounds, Nano Copper ferrite, Ferric ammonium nitrate
Abstract
Analysis of Health Care Systems using Advanced Requirement Engineering Process
R. Krishna Nayak, Dr.A.Jagan
Abstract: There is an enormous growth and increasing interest in home health care systems. Many patients, especially elderly people, are having their health care needs taken care of at home. The technological advances in computing, networking, medical devices, sensors, and the pharmaceutical industry have their tangible impact on improving the home health care processes. This paper analyses the requirements of home health care systems, and attempts to apply the Requirements Engineering process. Functional Requirements, Non-functional requirements, constraints, and modelling notations will also be dealt with. Keywords: Home Health Care Systems, Software Requirements Engineering, Software Engineering, Health Informatics
Abstract
Mobile Cloud Computing and Its Challenges
M.Jhansi Rani
Abstract: Mobile Cloud Computing(MCC) has given the mobile users the flexibility to use the mobile phone with no storage, enabling the users to store huge amount of data on cloud rather than storing it in the mobile phone, these all happening with the help of the internet. The mobile cloud apps is the state of art of the mobile Cloud Computing (MCC). The mobile device is just an interface to access the apps which are available on the mobile cloud. The Mobile Cloud Computing (MCC) makes the access of apps faster and easier. Soon there will be mobile phones without SIM allowing the contacts stored and accessed in and from cloud. The major challenges are its security and privacy. The security of mobile apps is one of the security issue of mobile cloud computing. Ensuring the data security in the mobile cloud is also one of the major challenge. With the increase in the use of mobile devices, the concerns over the security and privacy of Mobile Cloud Computing (MCC) has also increased. Mobile Cloud Security Assessment is an emerging solution to ensure security. Keywords: mobile phones, Mobile Cloud Computing (MCC), security, privacy.
Abstract
An Approach for Classification of Images as Centerline or Contour Using Skeletonization Algorithms
Dr M Rama Bai, J SreeDevi
Abstract: Skeletonization is transformation of a component of a digital image into a subset of the original component. There are hundreds of publications on different aspects of these transformations. This paper reports contributions in this area with respect to properties of watershed, thinning and skeletonization algorithms. On application of these algorithms on different images, the results show that we can obtain characteristics of centerline or contour depending on the image. In this paper, it is proposed to apply morphological dilation operation with skeletonization to get results that are more effective. The algorithms are tested over many sample images. Hence it may be concluded that the development, choice and modification of such algorithms in practical applications are domain and task dependent, and there is no best method. By these experimental results, the images can be better classified by using properties of the resulting set in existing skeletonization algorithms for centerline or contour. Keywords: skeletonization, watershed, thinning and shape simplification.
Abstract
Intermittent Detection of Diabetic Retinopathy
Ibrahim Patel, V. Sripathi Raja, Ashok Shigli
Abstract: Diabetic retinopathy is retinopathy i.e., injury to the membrane, caused by complications of polygenic disorder, which may eventually cause cecity. People suffering with type-II polygenic disorder of people suffering with type-I polygenic disorders for more years are prone to diabetic's retinopathy. It's associate ocular manifestation of polygenic disorder a general sickness that affects up to eighty p. c of all patients who have had polygenic disorder for ten years or a lot of. Despite these daunting statistics, analysis indicates that a minimum ninetieth of those new cases may well be reduced if there have been correct and argus-eyed treatment and observation of the eyes. Robotic image process has the potential to help within the early detection of d polygenic disorder. Exudates, haemorrhages and small aneurysms square measure the first signs of diabetic retinopathy. Image process techniques will scale back the work of ophthalmologists and therefore, the tools used mechanically find the abnormalities. This paper proposes a technique for the retinal image analysis through professional detection of exudates, small aneurysms and haemorrhages and recognizes the membrane to be traditional or abnormal. Keywords: Diabetic retinopathy, Blindness, Ocular, Exudates, Retinal Image.
Abstract
Pursuance Model for Cloud Analytics (PMCA) – An Analysis
S.Hemanth Chowdary, Sujoy Bhattacharya, K.V.V.Satyanarayana
Abstract: In today's digitally activated world, Analytics is an indispensable tool for most businesses to get insights from past business activity data and use it to drive the planning and decision making for the future. For this reason, in the last decade or so, data analytics has come to be recognized as an integral operation in business execution. As easily accessible Internet connectivity gave rise to the creation of huge amount of data, to the tune of ½ billion GB every day, the presence of specialized Analytics tools became necessary. However, the field of Big Data Analytics is still emerging and a number of nascent tools are available in the market to cater to various needs. This has created a confusing environment, where specific applicability of such tools is sometimes hazy. In this paper, we have attempted to bring in clarity in this field by analyzing some typical workflows of the analytics process, along with a comparison of different types of analytics like Business Analytics, Cloud Analytics and Real Time Analytics. Keywords: Cloud computing; Big Data, Analytics; Cloud Analytics; Business Analytics; Real-Time Analytics.
Abstract
Enhanced Better Information Elegance with Wireless Sensor Networks WSN’s
Konda. Hari krishna, Dr. Tapas Kumar, Dr. Y. Suresh Babu
Abstract: In Remote Sensors Arranges, the computational force and capacity limit is restricted. Remote Sensor Systems are worked in low power batteries, for the most part not rechargeable. The measure of information prepared is incremental in nature, because of sending of different applications in Remote Sensor Systems, in this manner prompting high power utilization in the system. For viably preparing the information and diminishing the force utilization the segregation of uproarious, excess what's more, anomaly information must be performed. In this paper we concentrate on information segregation done at hub and bunch level utilizing Information Mining Procedures. We propose a calculation to gather information values both at hub and bunch level and discovering the key segment utilizing PCA procedures and evacuating anomalies bringing about mistake free information. At long last an examination is made with the Factual and Basin width anomaly discovery calculation where the effectiveness is moved forward to a degree. Keywords: Remote sensors, Sink, Hub & Hub level.
Abstract
A Novel Block Switch Logic For State-Skip Test Pattern Generation In Built In Self Test Scheme
Y.Sreenivasula Goud, Dr. B.K.Madhavi
Abstract: In the process of testing VLSI circuits, it is required to test the entire operation with minimum all patterns. However for complete fault analysis total test patterns derived were quite large. This large number of coefficient representation results in large time of testing and hence consumes more power for testing operation. It is required to optimize this power consumption, based on the pattern optimization. In the approach of pattern optimization, state skip modeling was proposed in recent. In such coding approach, the process of pattern optimization using LFSR optimization was developed. In this paper a optimization of test patterns based on block switch modeling is proposed. The approach of pattern alignment using a synonymous approach of genetic mutation is proposed. The test evaluation of the suggested work is carried over ISCAS 89 benchmark circuits. The fault tolerance, recursion overhead, and logical implementation are observed to be optimized for the proposed approach. Keywords: Test Pattern optimization, Genetic coding, built in self test, Block mutation .
Abstract
A Study on Cryptographic Algorithm and Key Identification Using Genetic Algorithm for Parallel Architectures
Sunar Mohammed Farooq, Nageswara Reddy Karukula, J.David Sukeerthi Kumar
Abstract: Presently a day, the measure of exchange of information over huge system is expanding step by step. As there is increment in information exchange, at the same time there are security dangers that are emerging with it. In this paper we are proposing cryptographic frameworks that make utilization of hereditary calculation to safely exchange the information over expansive system. This methodology helps us to give high achievability to exchange information safely. The methods that we are utilizing for encryption & decoding are focused around hereditary calculation which will help us to effectively scramble the information which is resistible for any sort of outer assaults. At that point we will parallelize it utilizing Open Mp dialect which quickens the change of information to attain high security. At that point break down the execution for both code serial and parallel execution. Keywords: The genetic algorithm, Linear generation Equation, Genetic operator, Open MP.
Abstract
Literature Survey on High Resolution Direction of Arrival (DOA) Algorithms
M.Devendra, Dr. K. Manjunathachari
Abstract: This paper is an extensive study on realization of high resolution array based direction of arrival (DOA) estimation techniques which deals with beam forming. The techniques detailed include the conventional beam forming type of algorithms, maximum likelihood algorithms, the high resolution subspace based algorithms. The performance of MUSIC, ESPRIT, Minimum norm, and conventional beam forming techniques have been estimated using MATLAB. Based on the results realization of high resolution direction of arrival is achieved. Keywords: direction of arrival; beam forming; high resolution; maximum likelihood; subspace.
Abstract
A Framework to Detect Most Efficient Image Compression Technique on Cloud Storage
Dasaradha Ramaiah K and T. Venugopal
Abstract: Digital image compression technology is of special interest for the fast transmission and real-time processing of digital image. However image compression is a trend of research grown for a long time and there are multiple sophisticated approaches which significantly improve the compression rate and down grade computation time, a basic comparison with the aspect of storage on cloud environment is required. This work analyzes about the background of image compression, including when image compression is needed, categories of techniques and their properties. However compression uses many algorithms that store an exact representation or an approximation of the original image in a smaller number of bytes that can be expanded back to its uncompressed form with a corresponding decompression algorithm. This work majorly focuses on a novel framework for analyzing the impact of generic image compression techniques based on compression ratio and time for high data loads on cloud storage services and find the optimal set of algorithms most suitable for cloud storage. Keywords: DWT; K-Mean; 3D Spiral JPEG 2000; Cloud Storage Comparator; Microsoft Azure; Google Apps engine; Amazon Web Service; Cloud Storage.
Abstract
A Pattern Recognition Approach for Differential Protection Method to Detect Transformer Faults
Dr.Jammi Ashok, Dr.Amjan Shaik, Dr.Neelakantappa.M
Abstract: The differential relay is used for detecting the faults within the transformer. But, a conventional differential relay has many demerits. In recent times, the false counter of differential relay has been reported where it was not at all required. This brings urge among researchers for the development of advance classifier algorithm which clearly states about the faults and disturbances and helps to avoid the false tripping at times of disturbances. In this paper, Authors have used the approach based on pattern reorganization of all possible operating conditions of transformer and using support vector machine (SVM), the classification of faults and disturbances has been carried out. The proposed scheme gives good results as compared with conventional differential protection method and overall efficiency of the system found out to be 92.89% Keywords: Discrete Wavelet Transform, Daubechies Wavelet, Differential Protection, MATLAB Simulink, Support Vector Machine.
Abstract
Optimization of CNC Laser Cutting Process Parameters
N.Abhimanyu, Dr. B. Satyanarayana
Abstract: Laser Beam Cutting (LBC) is one of the largest applications of lasers in metal working industry using thermal energy based non-contact type of machining offering advantages such as high speeds, high quality edges, low-heat input, and minimal work piece distortion successfully used for the cutting of conductive and nonconductive difficult-to-cut advanced engineering materials such as reflective metals, plastics, rubbers, ceramics and composites [1][2]. The pursuit of any machining process is established by determining the equitable aggregate of input parameters. This paper deals with optimization of cut quality during pulsed CO2 laser cutting of mild steel. In the present paper, various input process variables such as laser power, cutting speed and material thickness are considered for evaluation of the process [3]. The cut quality attributes like Edge Surface Roughness (Ra) and Surface Hardness are considered as output parameters. In view of the effects of machining parameters on the Hardness and Ra, the problem is systematized as optimization problem. The optimum solution is achieved by using suitable statistical method. Keywords: pulsed CO Laser cutting, Edge Surface Roughness (Ra), Surface Hardness, cutting speed