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A Hybrid Level Set Method for Segmentation of Tumor in MRI Brain Image
Smitha.Padshetty ; Prof. Virupakshappa
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 3
Pages: 1 - 3
Magnetic Resonance Imaging (MRI) a medical tool used to acquire images of different modalities in human body. For Brain MRI image, specialists require the exact size and right estimation of tumor region for administration. This requires segmenting the tumor part out of given Brain MRI picture. For the purpose of segmentation, a crucial level set strategy for getting these points of confinement for tumor region at 2D MRI pictures is applied. For assessing these tumor parts two primary techniques that are level set strategy and another is fuzzy clustering, with the assistance of which tumor region can be discovered.
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A Novel Stergy for Free of Congestion and Minimum Energy Consumption using Multi Path Routing
Ashwini ; Nagalingayya. M
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 3
Pages: 4 - 9
Multipath routing in wireless multimedia sensor network makes it possible to transfer data simultaneously so as to reduce delay and congestion and it is worth researching. However, the current multipath routing strategy may cause problem that the node energy near sink becomes obviously higher than other nodes which makes the network invalid and dead. It also has serious impact on the performance of wireless multimedia sensor network (WMSN). In this paper, we propose a pair-wise directional geographical routing (PWDGR) strategy to solve the energy bottleneck problem. First, the source node can send the data to the pair-wise node around the sink node in accordance with certain algorithm and then it will send the data to the sink node. These pair-wise nodes are equally selected in 360 â—¦ scope around sink according to a certain algorithm. Therefore, it can effectively relieve the serious energy burden around Sink and also make a balance between energy consumption and end-to-end delay. Theoretical analysis and a lot of simulation experiments on PWDGR have been done and the results indicate that PWDGR is superior to the proposed strategies of the similar strategies both in the view of the theory and the results of those simulation experiments. With respect to the strategies of the same kind, PWDGR is able to prolong 70% network life. The delay time is also measured and it is only increased by 8.1% compared with the similar strategies.
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Identify Data Dependency in Relational Database: A Recent Survey
Varade Sagar Balu ; Vijay Kumar Verma
Computer Science and Engineering
Year: 2016, Volume:3, Issue : 3
Pages: 10 - 12
Identify Data dependency between the attributes of a database play very important role in the design of normalization. Data dependency identifies value of attributes which are uniquely determine form some other attributes. Identify data dependency is useful for handling large relational database efficiently. Data dependency also helps for a database designer to split a large relational table into several meaning full relations. This process helps to manage the large relational data efficiently and effectively without any redundancy. Identification of these data dependencies form database is difficult task. Several researchers have been proposed various methods to indentify data dependencies form relational data base. In this paper we proposed a general overview and comparison of some of the method.
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Analysing Bigdata using Hadoop
Tanuja A ; Swetha Ramana D V
Computer Engineering
Year: 2016, Volume:3, Issue : 3
Pages: 13 - 16
The major challenge of Big Data is extracting the useful information from the terabytes of raw data and analyzing the extracted information which is essential for the decision making. The above factor can be found in the proposed system which is simplified in three units. The first, Data Acquisition Unit (DAU) filters the collected data. The second, Data Processing Unit(DPU) process the data by collecting the useful information and the third, Analysis and Decision Unit(ADU), analyses the reduced data and supports decision making.
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A Hybrid PSO-GA Algorithm for Energy Efficient Routing in AMMNET
Niji. R ; Vineeth. D. Nair
Electronics & Communication Engineering
Year: 2016, Volume:3, Issue : 3
Pages: 17 - 24
A mobile ad hoc network (MANET) is an infrastructure less network with autonomous mobile nodes. The easily configurable and deployable properties of MANET make it suitable for the situations were a fixed infrastructure is not available or infeasible. However the dynamic movements of the mobile clients may disconnects the connectivity of the network frequently. This disconnection reduces the data accessibilities and later results in partitioning of the network. Thus the network partition problem makes the MANET unsuitable for the mission critical applications were the team members need to work in group and scattered in the application terrain. To overcome this principle challenge here introduces a new class of ad hoc network called Autonomous Mobile Mesh Network (AMMNET). AMMNET consist of mobile mesh nodes that can dynamically adapt to all topological changes of client movements. Since this network is infrastructure less, the performance and lifetime of the network depends on energy level of the nodes. Also the depletion of energy of the intermediate node may disrupt the entire communication of the network. This paper proposes a hybrid PSO-GA algorithm for finding an energy efficient path for routing in AMMNET. The simulation results shows that this hybrid algorithm provides better throughput and are more efficient than the standard PSO and genetic algorithms.
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Random Key Pre-Distribution Scheme: A Security Based Protocol for MANETS
Anju M A ; Febina P
Electronics & Communication Engineering
Year: 2016, Volume:3, Issue : 3
Pages: 25 - 34
Totally self-organized, self-operated, resource constrained nodes of MANETs (Mobile Ad-hoc Networks) require unique, distinct and persistent identity per node in order for their security protocols to be viable. MANET is a wireless multihop network formed by a set of mobile nodes which do not rely on an established infrastructure. The network relies on the collaboration of nodes to forward the packet to each other. While building MANETS for civilian applications some nodes tend to be disruptive or manage to save their resources through selfish behaviour. Thus the significantly degrade the performance. To cope with this, nodes of such behaviour have to detect and isolate. Random Key Pre-distribution (RKP) scheme has used to avoid the effect of selfish and malicious nodes in the network. RKP is a cryptographic approach to reduce the detection time, reduce the overhead and increase the precision of detection and improve the performance of the system.
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An MADM Approach for Selection of a Facilities Layout
Dr. G. Shashi Kumar ; Prof. Bijon Sarkar; Prof. S. K. Sanyal
Industrial Engineering
Year: 2016, Volume:3, Issue : 3
Pages: 35 - 40
In this paper, ELECTRE (Elemination et Choice Translating Reality) or Concordance Analysis is used for selecting a proper layout to suit a particular type of production system. The decision making becomes more complicated due to contradicting and conflicting nature of factors influencing Facilities Layout (FL) design. Various considerations need to be taken into account in this regard. The complexity is compounded when these considerations are conflicting by nature and they have units that cannot be compared on a same common scale (incommensurable units). Also, a FL problem cannot be claimed to have a best and a unique solution. But an improper selection of FL may eventually result in affecting firm’s productivity, quality of production and profitability. Hence, to effectively select a FL for a specified type of production, several factors will have to be considered simultaneously. The goal of the decision process is to evaluate alternative FLs based on the activities and their contribution to overall organizational goals. Hence in this paper the Multiple Attribute Decision Making (MADM) methodology ELECTRE is adopted to make an effective selection of a FL to suit the production process under study.
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Effects of Partial Replacement of Cement with Marble Dust Powder On Properties of Concrete
Sonu Pal ; Amit Singh; Tarkeshwar Pramanik; Santosh Kumar; Prof. N. Kisku
Civil Engineering
Year: 2016, Volume:3, Issue : 3
Pages: 41 - 45
Leaving the waste materials to the environment directly can cause environmental problem. Hence the reuse of waste material has been emphasized. Waste can be used to produce new products or can be used as admixtures so that natural resources are used more efficiently and the environment is protected from waste deposits. Marble stone industry generates both solid wastes and stone slurry. This paper focus on the utilization of waste of Marble dust powder in concrete and enhancement of strength of concrete more economically. The Marble dust powder was added in M20 grade of concrete at (0%, 5%, 10%, 15%, 20%, 25% & 30%) with partial replacement by weight of cement. Water/Cement ratio (0.50) was kept constant, in all the concrete mixes. The concrete samples (cube & cylinder) were tested for compressive strength and split tensile strength after 7 & 28 days of proper curing. The results of the laboratory work showed that replacement of cement with Marble dust powder increases up to 10% for both compressive strength and split tensile strength of concrete.
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A Survey on Frequent Pattern Mining Techniques in Sequence Data Sets
Kirti L Mirgal ; Dr. Satishkumar Varma
Computer Engineering
Year: 2016, Volume:3, Issue : 3
Pages: 46 - 48
Finding interesting patterns from large amounts of data is an important task of data mining. There are many data mining tasks, such as classification, clustering, association rule mining, and sequential pattern mining. Sequential pattern mining extracts frequent subsequences from a sequence database which is helpful in making predictions, improving usability of systems, detect events and in making strategic product decisions in applications such as web user analysis, stock trend prediction, DNA sequence analysis. Subsequences can be contiguous and non-contiguous. Moreover the mining algorithm is classified into three categories: periodic patterns, statistically patterns, and approximate patterns. This paper discusses about few such pattern mining algorithms.
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Design and Fabrication of Mini Cotton Ginning Machine
Bhushan S. Umarkar ; Prof P. G. Mehar
Mechanical Engineering Design
Year: 2016, Volume:3, Issue : 3
Pages: 49 - 53
Cotton from time immemorial has held the highest place amongst the family of fibers - natural or man-made. Owing to the several rich and exceptional properties it has (including comfort and drape), cotton is also known as the King of Fibers and will continue to hold this place for centuries to come. In India large numbers of cotton ginning machines are available such as Saw ginning machine, roller ginning machine, double roller ginning machine etc. but they are of very high cost and large in shape and weight. Our aim is to design and developed a low cost saw cotton ginning machine which will help farmers and small scale entrepreneurs to remove the seeds from the cotton at their home level instead of going to big ginning factory. This paper describes about the design of various components of Mini Cotton Ginning machine. Hence in this design of various parts are necessary, and design of various parts due to which the design quality of those parts will be improved. Overall, this project involves processes like design, fabrication and assembling of different components etc. The fresher and small farmer or business man can start business by investing less capital.
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Abstract
