International Journal Of Service Computing And Computational Intelligence

ISSN 2162-514X
Publication Frequency4 issues per year
PublisherITFR Service Computing And Computational Intelligence Society

Evaluating The Performance Of Filtering Techniques For Feature Selection In High Dimensional Imbalanced Dataset
Authors T.Deepa, Dr.M.Punithavalli
Abstract In Mining High-Dimensional Imbalanced dataset(where one class outnumbers the other) feature selection is an important and crucial task. Filtering Technique is the simplest feature selection methodology used to extract features in High-Dimensional database. This paper involves evaluating the performance of commonly used filtering techniques and proposes the accurate technique for feature selection. The Techniques are evaluated using micro array dataset. Keywords – Feature selection, Imbalanced dataset, Sampling, Under sampling, Oversampling.
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Data Aggregation In Wireless Sensor Network
Authors Nandini. S. Patil, Prof. P. R. Patil
Abstract Sensor networks are collection of sensor nodes which co-operatively send sensed data to base station. As sensor nodes are battery driven, an efficient utilization of power is essential in order to use networks for long duration hence it is needed to reduce data traffic inside sensor networks, reduce amount of data that need to send to base station. The main goal of data aggregation algorithms is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced. Wireless sensor networks (WSN) offer an increasingly Sensor nodes need less power for processing as compared to transmitting data. It is preferable to do in network processing inside network and reduce packet size. One such approach is data aggregation which attractive method of data gathering in distributed system architectures and dynamic access via wireless connectivity. Wireless sensor networks have limited computational power and limited memory and battery power, this leads to increased complexity for application developers and often results in applications that are closely coupled with network protocols. In this paper, a data aggregation framework on wireless sensor networks is presented. The framework works as a middleware for aggregating data measured by a number of nodes within a network.
The aim of the proposed work is to compare the performance of TAG in terms of energy efficiency in comparison with and without data aggregation in wireless sensor networks and to assess the suitability of the protocol in an environment where resources are limited.
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Review Of Security Analysis In LTE And WIMAX Environment
Authors R.NARMADHA, Dr.S.MALARKKAN
Abstract Long-Term Evolution (LTE) is the next-generation beyond 3G network. LTE uses OFDM (orthogonal frequency-division multiplexing) radio access technology together with advanced antenna technologies. In addition to LTE, 3GPP has specified a flat, IP-based network architecture as part of the system architecture evolution (SAE) effort. It is the natural evolution of 3GPP GSM, WCDMA, and 3GPP2 CDMA networks.LTE security must provide at least the same level of security as provided by 3G security functions and still minimize the effect on the previous architecture. Authentication service is one of the most essential services in LTE networks, which has significant effects on internet security. First, we review the Security analysis and architecture of LTE . Then, we review the standardized authentication protocol such as PAP, LEAP ,EAP- TLS. More-over, we will review some papers related to the security issues and solutions on EAP TLS security protocol.We also further make some comparisons to these schemes on their features and performance. Finally,we conclude some future works for the interworking between LTE and WiMAX networks.
Keywords PAP, LEAP, EAP-TLS, LTE
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SUITUATION BASED INTELLIGENCE ROUTING IN WIRELESS SENSOR NETWORK
Authors D.karthik, Dr.S.Nagarajan
Abstract Wireless sensor nodes are driven by limited power supply where replacing or charging the batteries are not feasible. This paper studies situation based intelligence routing as power minimization technique. It uses an intermediate node to send out the packet, based on the power passed by each sensor node and in case of fault tolerance. Thus intelligence routing reduces power consumption by minimizing the life time of the network when intelligence routing is being applied. This paper explains what is situation based intelligence routing, its benefits and how the routing changes dynamically. Intelligence routing reduces the power consumption by minimizing the number of transmissions required to communicate a given amount of information across the network Evaluation results indicate that the proposed solution is more efficient than non intelligence routing which still meeting the required lifetime constraints.
Keywords Intelligent routing, power minimization, Wireless sensor network (WSN).
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Implementation Of An Enhanced File Search Efficiency In P2P Network
Authors Mrs.K.Jayanthi and Dr.M.Karnan
Abstract The original intent of the peer-to-peer (P2P) concept is to treat each participant equally, heterogeneity widely exists in deployed P2P networks. In many aspects peers are different from each other such as bandwidth, CPU power, and storage capacity. Various approaches have been taken with the use of query forwarding heterogeneity i.e. the high band width of powerful nodes can be fully initialized to increase the system capacity. In this paper, we suggest to directly improve the search efficiency of P2P network using the query answering heterogeneity. In our proposed Differentiated Search (DiffSearch) algorithm, the peers with high query answering capabilities will have the highest priority to be queried. Since the query answering capacities are extremely unbalanced among peers by querying a small portion of a network a high query success rate can be achieved. The search traffic is further reduced due to the shrunken search space. For example, the random walk or DHT can still be applied in the ultrapeer overlay to further reduce the search traffic, which will be investigated in this paper. This paper analysis and implement flooding search, proposed diffsearch algorithm, diff search algorithm with random walk techniques and compare these algorithm and finally show that the DiffSearch algorithm with random walk can save more than 80 percent of search traffic.
Keywords Peer to Peer network, Differentiated Search algorithm, Ultra Peer, Network Bandwidth, Storage Capacity, Search efficiency.
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Automatic Detection Of Follicles In Ultrasound Images Of Ovaries Using Active Contours Method
Authors P.S.Hiremath and Jyothi R. Tegnoor
Abstract Knowledge about the status of the female reproductive system is important for fertility problems and age related family planning. The volume of these fertility requests in our emancipated society is steadily increasing. Transvaginal ultrasound imaging of the follicles in the ovary gives important information about the ovarian aging, i.e., number of follicles, size, position and response to hormonal stimulation. Manual analysis of many follicles is laborious and error-prone. In this paper, a new method for recognition of follicles in ultrasound images of ovaries is proposed. This fully automated segmentation method is based on active contours without edge method. The proposed technique is tested on ultrasonographic images of ovaries. The experimental results are compared with inferences drawn by medical expert and demonstrate the efficacy of the method.
Keywords Ultrasound Image, Ovarian Follicle Recognition, Active Contours.
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