Informatics Publishing Limited

R. Murugesu ¹, S. Suguna ¹

Affiliations
1 Department of Mathematics, Sri Ramakrishna Mission Vidyalaya, College of Arts and science, Coimbatore 641 020, IN

Abstract

In this paper we discuss the existence and uniqueness of solutions to the nonlocal fractional nonlinear integrodifferential equations

D^qx(t) = f(t, x(t), ∫^t₀ a(t,s)h(s, x(s))ds), t ∈ [0, T] x(0) + g(x) = x₀, where 0 < q < 1

in a Banach space. We use classical tools from functional analysis to obtain the results.

Keywords

Cauchy Problem, Fractional Integrodifferential Quations, Krasnoselkii Theorem.

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N. Kavitha ¹, S. Suguna ¹

Affiliations
1 Department of CSE, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN

Abstract

To improve the design of existing software code. Refactoring doesn‟t change the observable behavior of the software; it improves its internal structure. Software clones appear for a variety of reasons, among which the most obvious is the reuse of existing code (by copy and paste for example), logic or design. Several studies show that about 5% to 20% of software systems can contain duplicated code, which is basically the result of copying existing code fragments and using then by pasting with or without minor modifications. In this paper, we propose a clone removal by refactoring. The refactoring is done with the help of clone manager. It is designed to improve the understandability of the code or change its structure and design, and remove dead code, to make it easier for human maintenance in the future.

Keywords

Refactoring, Duplicated Code, Function Extraction, Generalisation, Renaming, Clone Pair, Clone Clusters.

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H. Ambika ¹, N. Kavitha ¹, A. Daison Raj ¹, S. Suguna ¹

Affiliations
1 Department of CSE, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN

Abstract

Previously Wireless Sensor Systems (WSS) was not preferred selection for just offshore overseeing from the gas and oil market for several reasons for instance dependability along with stability matter. These days, considerably features improved. Developments throughout dependability, stability, along with price within the difficulties connected with regularity percentage now make it possible for companies to make best use of WSS for challenging manufacturing circumstances. Within this report, we propose a great manufacturing Tube Rack safety overseeing method determined by WSS, which usually uses the particular ISA Standard regular for manufacturing. We designed along with implemented the device, which usually contains subject nodes, subject system gateways, and a command server, along with examined their function with large-scale petrochemical plant life. The data collected from WSS dependent safety sensors demonstrate how the recommended method can constantly observe along with assess the structural security on the tube rack, and gives possibility managing tips determined by real-world assessments.

Keywords

Wireless Sensor Systems, Tube Racks, Deterioration, OSNG.

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H. Ambika ¹, S. Suguna ¹, N. Kavitha ¹, A. Daison Raj ¹

Affiliations
1 Department of CSE, V.R.S. College of Engineering and Technology, Arasur, Villupuram, IN

Abstract

There has become considerably new desire for implementing IP-enabled direction-finding in addition to administration practices within Low-Power Lossy Networks (LLN). For example, this Routing Standard protocol intended for LLNs (RPL) forms some sort of led acyclic chart that some sort of direction-finding shrub could be selected. RPL is built to dynamically change routes throughout a reaction to varying multilevel problems. On the other hand, a lot of performance-sensitive LLN programs involve stable direction-finding bushes along with repaired homogeneous as well as heterogeneous indication prices above outlined time times. Regarding these kinds of programs all of us add this MRESS:Matched Redirecting intended for Epoch based Secure Sapling platform. MRESS offers a LLN in addition to IP friendly direction-finding control aircraft intended for supporting this specific software type. MRESS is built to complement, instead of swap, LLN direction-finding practices for instance RPL as well as CTP. We describe each of our execution associated with MRESS inside Contiki computer. We additionally provide some sort of functionality examination for the electricity maximization software when using the platform evaluating epoch-based practices a great RPL method. Each of our results display that the epoch-based practices persistently deliver greater electricity levels.

Keywords

Lossy Network, MRESS, Epoch, RPL, DAG.

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S. Suguna ¹, N. Kavitha ¹

Affiliations
1 Department of CSE, V.R.S. College of Engineering and Technology, Arasur, IN

Abstract

Current high-throughput algorithms for constructing inverted files all follow the MapReduce framework, which presents a high-level programming model that hides the complexities of parallel programming. In this paper, we take an alternative approach and develop a novel strategy that exploits the current and emerging architectures of multicore processors. Our algorithm is based on a high-throughput pipelined strategy that produces parallel parsed streams, which are immediately consumed at the same rate by parallel indexers. We have performed extensive tests of our algorithm on a cluster of 32 nodes, and were able to achieve a throughput close to the peak throughput of the I/O system: a throughput of 280 MB/s on a single node and a throughput that ranges between 5.15 GB/s (1 Gb/s Ethernet interconnect) and 6.12 GB/s (10 Gb/s InfiniBand interconnect) on a cluster with 32 nodes for processing the ClueWeb09 data set. Such a performance represents a substantial gain over the best known MapReduce algorithms even when comparing the single node performance of our algorithm to MapReduce algorithms running on large clusters. Our results shed a light on the extent of the performance cost that may be incurred by using the simpler, higher level MapReduce programming model for large scale applications.

Keywords

Inverted Files, MapReduce, Multicore Processors, Cluster, I/O Throughput, Parallel Algorithms, Parallel Parsing and Indexing, Pipeline.

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T. Jesse Joel ¹, S. Suguna ¹, S. R. Steffi ¹

Affiliations
1 Department of Biotechnology, School of Biotechnology & Health Sciences, Karunya University, Coimbatore-641 114, Tamil Nadu, IN

Abstract

Saliva contains a number of antimicrobial substances which have their origin either in salivary glands or serum from which they may leak into the mouth via the gingival crevices. Saliva is believed to possess a substantial influence on the aggregates oral pathogens form in the mouth due to the antibodies as well as proteins whose antimicrobial properties do not depend on prior exposure to an antigen. One such enzyme is Lysozyme which is one of the most powerful natural antibacterial and antiviral compounds known to man. According to previous researches, it has been found out that lysozyme may bind and aggregate Gram-positive bacteria such as putative Gram-negative periodontopathic bacteria such as Capnocytophaga gingivalis. This particular study explores the natural phenomenon Lysozyme exhibits against oral microflora with noteworthy conclusions. Saliva samples were collected from the oral cavity of human, cow and dog. From these samples, lysozyme was isolated and purified. Furthermore, the quantity of the enzyme isolated was ascertained by Polyacrylamide Gel Electrophoresis. The quantified enzyme showed 32kDa for cow sample, 23kDa for dog sample and 23kDa for human sample. Finally the antimicrobial activity of the enzyme was determined by agar well diffusion method against Staphylococcus spp. and Enterococcus faecalis. Hence lysozyme in saliva is found to have the antibacterial activity against the pathogen due to the zone of inhibition observed and this proves that a tool to prevent dental decay is available and that there is potential to serve antimicrobial role in the specific application of medical industry.

Keywords

Lysozyme, Oral Microflora, Saliva, Decay, Antibacterial Activity.

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S. Suguna ¹, V. Sundaravadivelu ², B. Gomathi ¹

Affiliations
1 Department of Computer Science, Sri Meenakshi Govt. Arts College for Women (A), Madurai – 625002, Tamil Nadu, IN
2 PG and Research Department of Computer Science, Thiru A. Govindasamy Govt. Arts College, Tindivanam – 604002, Tamil Nadu, IN

Abstract

Background/Objectives: In this paper we have analyzed various issues with clustering and text mining. The collected documents are preprocessed and grouped using our proposed new algorithm based on position method. We proved our proposed color based constraint clustering algorithm out performs than K-Means and SOM algorithms in terms of time and reliability factors. Methods/Statistical Analysis: We identified the problem after analyzing the existing works with the help of articles from reputed journal papers and national and International level conferences. We proposed the new methodology for document grouping process, and color based constraint clustering process. Clustering can be considered as the most important semi-supervised learning problem which deals with finding a structure in a collection of unlabelled data. In this work the collected documents are preprocessed by stop word removal and stemming process and then the words are grouped according to their similarity using color code constraints. Performances of SOM and Kmeans, and color based constraint algorithms are analyzed for any kind of text document collections. Findings: In this work our proposed color based constraint (CBC) algorithm, SOM and K-Means algorithms performances are compared against time based frequency and reliability of retrieved documents. Here, the time needed to process the number of documents is analyzed. Reliability of retrieved documents can be made by using the number documents and the frequency measurement. We proved our proposed color based constraint clustering algorithm out performs than K-Means, and SOM algorithms in terms of time and reliability. Application/Improvements: Our work is useful for efficient information retrieval process. In future this work can be extended to maximize the grouping of words with minimum latency and one can also extend this work to develop an algorithm for maximize the grouping(clustering) of words in a document with color based constraints to increase the clustering performance for efficient text mining.

Keywords

Color Based Constraint, Clustering, Information Retrieval, Semi_Supervised Clustering Technique, Text Mining

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S. Suguna ¹, C. Ranjith Kumar ², D. Sheela Jeyarani ¹

Affiliations
1 Department of Computer Science, Sri Meenakshi Government Arts College, Madurai - 625002, Tamil Nadu, IN
2 Bharathiar University, Coimbatore - 641046, Tamil Nadu, IN

Abstract

Our paper comprises of almost maximum used state of the art techniques in video retrieval as a brief summary. As there is developments in all fields, media becomes more popular and so people begun to search videos to know the world happenings visually. This paper gives a review of existed combinational methods, algorithms and techniques. The image retrieval was obtained from multiple lower ranking methods. The survey of many methods leads to an introduction of combination of a best method. The main focus of this survey is focused on video retrieval techniques to identify the underlying factors that affect the performance of the combinational method and to judge the effectiveness to provide efficient semantic video retrieval. Finally we descript a broad discussion about the advantages and drawbacks that have been in state of the art. Due to these reasons semantic video retrieval became a challenging issue in various industries.

Keywords

Combinational Methods, State of the art, Techniques, Video Retrieval

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H. Salome Hema Chitra ¹, S. Suguna ¹, S. Naganandini Sujatha ²

Affiliations
1 Department of Computer Science, Sri Meenakshi Government Arts College for Women(A), Madurai – 625002, TamilNadu, IN
2 Department of Master of Computer Science, KLN College of Engineering, Sivagangaii – 630612, Tamil Nadu, IN

Abstract

Background/Objectives: In this paper we have analyzed various image analysis techniques and their issues in seed technology. The crucial role of these techniques is identification and classification of seeds, grading of seeds, quality determination of seeds in seed science and food processing sectors. We provide a complete survey of image analysis techniques and propose a processing module for seed identification and classification. Methods/Statistical analysis: We identified the problem of manual identification and classification of seed in agricultural sector. We provide five important processing steps as a proposed methodology for identification and classification of seed. By using this technology, we able to discriminate the defected seed from normal seed. Our proposed methodology includes noise removal, edge detection, segmentation and classification for seed identification. These methods provide a significant way for seed identification. Findings: In this work, we implemented a five processing module for seed identification. Seed image has taken for the basis of image acquisition and then a seed image is pre-processed by noise removal and image enhancement. Enhanced image goes through the processes of edge detection and segmentation. From the segmented image we extract features like colour, shape and texture for normal and defected seed which may help to identify the seed by image analysis techniques. Application/Improvements: Our work is useful to know about various issues in seed identification in agricultural sector. This work provides efficient methods to overcome the manual identification of seeds. We can also extend this work with an efficient identification and classification methodology in image analysis techniques in agricultural sector

Keywords

Classification, Edge Detection, Feature Extraction, Noise Removal, Segmentation

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