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2016 2nd International Conference on Computational Intelligence and Networks (CINE)

11-11 Jan. 2016

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Displaying Results 1 - 25 of 39
  • [Front cover]

    Publication Year: 2016, Page(s): C4
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  • [Title page i]

    Publication Year: 2016, Page(s): i
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  • [Title page iii]

    Publication Year: 2016, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2016, Page(s): iv
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  • Table of contents

    Publication Year: 2016, Page(s):v - vii
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  • Message from the Chief Patron

    Publication Year: 2016, Page(s): viii
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  • Message from the General Chair

    Publication Year: 2016, Page(s): ix
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  • Message from the Organizing Chair

    Publication Year: 2016, Page(s): x
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  • Message from the Program Chair

    Publication Year: 2016, Page(s): xi
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  • Committees

    Publication Year: 2016, Page(s):xii - xv
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  • Communication Converging towards Adaptive Intelligence: A Survey

    Publication Year: 2016, Page(s):3 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (193 KB) | HTML iconHTML

    Recent dynamic advances in Telecom evolution calls for optimization of technologies, something which we continually learn from the nature. Adaptive intelligent machines, inspired from biological evolution, should emerge as cost-controlled, energy-efficient and sustainable alternatives for future generations. In this paper, we review the different evolving intelligent techniques implemented in vari... View full abstract»

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  • A Historical Feedback Based Misbehavior Detection (HFMD) Algorithm in VANET

    Publication Year: 2016, Page(s):15 - 22
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (311 KB) | HTML iconHTML

    Vehicular Ad-hoc Network (VANET) is a promising technology with a great potential for providing enhanced safety and convenience to the drivers and passengers. The majority of application in VANET involves exchange of information amongst vehicles. An adversary may take this as an advantage to disturb the network by disseminating false information about any occurred event on the road. In this paper,... View full abstract»

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  • A Single-Hop Based Fast Certificate Revocation Protocol in VANET

    Publication Year: 2016, Page(s):23 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB) | HTML iconHTML

    A vehicular ad hoc network (VANET) uses vehicles as mobile nodes to create a network. The increasing number of vehicle on road creates alot of problem to the vehicle driver as well as passengers. VANET is network which is developed to face these situations and provide road safety and comfortable journey to the driver. In this network each vehicle can communicate to other vehicle and share the rode... View full abstract»

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  • Efficient Energy Management in Mobile MIMO Cooperative Sensor Networks (M-MCSN)

    Publication Year: 2016, Page(s):29 - 34
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (313 KB) | HTML iconHTML

    One of the most important issues in Wireless Sensor Nodes (WSN) is the proper utilization of the energy and reduction in its consumption. Energy consumption in a node takes place at places: (I) circuit level for processing the data and performing some actions, (II) power consumption during transmission. For our model we have considered both the parameter into a simplified equation. We considered v... View full abstract»

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  • A Technique to Enhance the Energy Efficiency of Multipath Routing Protocol for MANETs

    Publication Year: 2016, Page(s):35 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1205 KB) | HTML iconHTML

    Mobile Ad hoc networks(MANETs) are power constrained since nodes are operated with limited battery. A node not only sends it own packets but also packets of other nodes. However, the energy consumption during routing remains a key challenge. In this paper, we have proposed a multipath routing protocol which is referred here as energy efficient multipath routing (E2MR). The proposed approach uses a... View full abstract»

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  • A Dynamic Energy-Efficient Chain Formation Scheme for PEGASIS in Wireless Sensor Networks

    Publication Year: 2016, Page(s):41 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (347 KB) | HTML iconHTML

    Data aggregation is a promising way to reduce the redundant data communication in wireless sensor networks and hence improves the network lifetime. Among the various data aggregation protocols, it is reported that PEGASIS is better than LEACH and HEED. PEGASIS is a chain based aggregation protocol, where each node communicates only with its closest neighbour and on its turn to become a leader, tra... View full abstract»

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  • Aspects of Network Architecture for Remote Healthcare Systems

    Publication Year: 2016, Page(s):47 - 53
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1148 KB) | HTML iconHTML

    Disasters are inevitable aspects of the human civilization and the limitation of extending the medical infrastructure to every corner of the demography is a challenging task. Technology can cater to need of the availability of medical expertise for each affected individual in the disaster virtually. A medical infrastructure can be envisioned using existing LAN and WAN communication technology stan... View full abstract»

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  • An Enhanced BE-GGMM-EI Algorithm for Medical Image Denoising

    Publication Year: 2016, Page(s):57 - 62
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (532 KB) | HTML iconHTML

    Now a days, brain tumor detection without losing the edge information is very vital field of research, which may save many life. So in our proposed method, we have given emphasis on minimum loss of information in brain tumor MRI image. So we propose a BE-GGMM-EI (Background Estimated-Generalized Gaussian Mixture Model with Edge Information) method for detecting different brain tumors. In our propo... View full abstract»

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  • An Atomic Model Based Optimization Algorithm

    Publication Year: 2016, Page(s):63 - 68
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (179 KB) | HTML iconHTML

    In this paper, an optimization algorithm is proposed for solving combinatorial optimization problems. The designing of the algorithm is based on the Bohr's atomic model. Microcosm of physics and chemistry such as excitation and de-excitation of electrons in atom and atom's bond formation phenomenon are the key mechanism of this algorithm. Atoms form compounds to minimize the energy of their electr... View full abstract»

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  • kNN Classification Based Erythrocyte Separation in Microscopic Images of Thin Blood Smear

    Publication Year: 2016, Page(s):69 - 72
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB) | HTML iconHTML

    In this proposed work, k-nearest neighbors (kNN) classifier comprising of three features i.e. area, compactness ratio, aspect ratio is used to separate the isolated and compound erythrocytes present in microscopic images of thin blood smear. In the microscopic image of thin blood smear, blood components such as erythrocytes, platelets etc are available which is used for diagnostic approach to bloo... View full abstract»

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  • Multimoving Human Sperm Tracking Using CGM-CS Approach and Comparative Analysis for Proper Diagnosis in Infertility

    Publication Year: 2016, Page(s):73 - 77
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (495 KB) | HTML iconHTML

    In this paper, we introduced an algorithm for tracking and detecting multi moving human sperm using Course Grained Multi Threading Cam Shift (CGM-CS) approach in a microscopic human sperm moving video. This method is fully based on adaptive Cam Shift algorithm using color model. This algorithm is design to track and detect the sperms by using multi threading concept. The multi threading concept is... View full abstract»

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  • A Heuristic for Scheduling of Uniform Parallel Processors

    Publication Year: 2016, Page(s):78 - 83
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (716 KB) | HTML iconHTML

    Parallel processing is one of the arising concepts that are used to process batch of 'n' numbers of tasks through 'm' numbers of parallel processors. These processors are either identical or uniform or unrelated in nature. Scheduling is the discipline of decision making for executing the tasks through parallel processors. One of the important criteria of good scheduling is the schedule with minimu... View full abstract»

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  • EEG Based Motor Imagery Classification Using SVM and MLP

    Publication Year: 2016, Page(s):84 - 89
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB) | HTML iconHTML

    This paper focuses on the classification of motor imagery of the left-right hand movements from a healthy subject. Elliptic Bandpass filters are used to discard the unwanted signals. Our study was on C3 and C4 electrodes particularly for the left-right limb movements. We deployed various feature extraction techniques on the EEG data. Statistical-based, wavelet-based energy-entropy & RMS, PSD based... View full abstract»

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  • Impulse Noise Removal from Gray Scale Images Based on ANN Classification Based Fuzzy Filter

    Publication Year: 2016, Page(s):97 - 101
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (355 KB) | HTML iconHTML

    In this paper, artificial neural network (ANN) based fuzzy filter is proposed for removal of impulse noise from gray images. ANN is used for classification of noisy and non-noisy pixels from the image corrupted by impulse noise. Based on the classification, fuzzy filtering is done adjusting the corrupted and non-corrupted pixels. In this method, feature set comprises of predicted error, absolute d... View full abstract»

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  • A Proposed Multithreading Fuzzy C-Mean Algorithm for Detecting Underwater Fishes

    Publication Year: 2016, Page(s):102 - 105
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (419 KB) | HTML iconHTML

    Recently, Scientists needs to know the behavior of fish populations in underwater. Previously many algorithms are used but they are suffered in complex textures and low detection rate. This paper proposed a multi threading fuzzy c-mean (MFC mean) approach to detect multi-moving fishes in a noisy and dense condition. In this approach, we combines the multi threaded parallel (MTP) approach and kerne... View full abstract»

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