WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8653

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2003 - 200932010 - 20124

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Publisher: search.filters.publisher.Springer-verlag BerlinWoS Q: search.filters.wosQuartile.N/A

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Now showing 1 - 7 of 7
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 5
    Throughput Maximisation of Different Signal Shapes Working on 802.16e Mobile Multihop Network Using Novel Cognitive Methods
    (Springer-verlag Berlin, 2010) Preveze, Barbaros; Safak, Aysel
    This study proposes cognitive methods for managing the multimedia packet traffic of 802.16e system providing the dynamic spectrum sharing by TDM & OFDMA under heavy traffic conditions. The cognitive techniques are used in order to maximize the throughput of a system having different signal shapes such as video, voice or data packets. All real time voice and video packets transmissions have been provided with full success where the loss rate of data packets has been minimized using the cognitive methods. By these methods buffers are managed successfully for the given parameters, optimum buffer sizes have been formulized and it's shown that we brought the throughput up to its calculated theoretical limits for multi-hop mobile wimax (802.16e).
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 2
    Texture Segmentation Using the Mixtures of Principal Component Analyzers
    (Springer-verlag Berlin, 2003) Musa, MEM; Duin, RPW; de Ridder, D; Atalay, V
    The problem of segmenting an image into several modalities representing different textures can be modelled using Gaussian mixtures. Moreover, texture image patches when translated, rotated or scaled lie in low dimensional subspaces of the high-dimensional space spanned by the grey values. These two aspects make the mixture of local subspace models worth consideration for segmenting this type of images. In recent years a number of mixtures of local PCA models have been proposed. Most of these models require the user to set the number of subspaces and subspace dimensionalities. To make the model autonomous, we propose a greedy EM algorithm to find a suboptimal number of subspaces, besides using a global retained variance ratio to estimate for each subspace the dimensionality that retains the given variability ratio. We provide experimental results for testing the proposed method on texture segmentation.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 5
    Statistical Analysis of Gait Data To Assist Clinical Decision Making
    (Springer-verlag Berlin, 2010) Sen Koktas, Nigar; Duin, Robert P. W.; Köktaş, Nigar Şen
    Gait analysis is used for non-automated and automated diagnosis of various neuromuskuloskeletal abnormalities. Automated systems are important in assisting physicians for diagnosis of various diseases. This study presents preliminary steps of designing a clinical decision support system for semi-automated diagnosis of knee illnesses by using temporal gait data. This study compares the gait of Ill patients with 110 age-matched normal subjects. Different feature reduction techniques, (FFT, averaging and PCA) are compared by the Mahalanobis Distance criterion and by performances of well known classifiers. The feature selection criteria used reveals that the gait measurements for different parts of the body such as knee or hip to be more effective for detection of the illnesses. Then, a set of classifiers is tested by a ten-fold cross validation approach on all datasets. It is observed that average based datasets performed better than FFT applied ones for almost all classifiers while PCA applied dataset performed better for linear classifiers. In general, nonlinear classifiers performed quite well (best error rate is about 0.035) and better than the linear ones.
  • Book Part
    Citation - WoS: 25
    Citation - Scopus: 1
    New Treatise in Fractional Dynamics
    (Springer-verlag Berlin, 2012) Baleanu, Dumitru; Baleanu, Dumitru
    Fractional calculus becomes a powerful tool used to investigate complex phenomena from various fields of science and engineering. In this context, the researchers paid a lot of attention for the fractional dynamics. However, the fractional modeling is still at the beginning of its developing. The aim of this chapter is to present some new results in the area of fractional dynamics and its applications.
  • Conference Object
    Citation - WoS: 6
    Citation - Scopus: 12
    New Distinguishers Based on Random Mappings Against Stream Ciphers
    (Springer-verlag Berlin, 2008) Turan, Meltem Soenmez; Calik, Cagdas; Saran, Nurdan Buz; Doganaksoy, Ali
    Statistical randomness testing plays an important role in security analysis of cryptosystems. In this study, we aim to propose a new framework of randomness testing based on random mappings. Considering the probability distributions of coverage and P-lengths, we present three new distinguishers; (i) coverage test, (ii) p-test and (iii) DP-coverage test and applied them on Phase III Candidates of eSTREAM project. We experimentally observed some statistical weaknesses of Po-maranch using the coverage test.
  • Conference Object
    Citation - WoS: 1
    Citation - Scopus: 2
    Clustering Analysis for Vasculitic Diseases
    (Springer-verlag Berlin, 2010) Yildirim, Pinar; Ceken, Cinar; Ceken, Kagan; Tolun, Mehmet R.
    We introduce knowledge discovery for vasculitic diseases in this paper. Vasculitic diseases affect some organs and tissues and diagnosing can be quite difficult. Biomedical literature can contain hidden and useful knowledge for biomedical research and we develop a study based on co-occurrence analysis by using the articles in MEDLINE which is a widely used database. The mostly seen vasculitic diseases are selected to explore hidden patterns. We select PolySearch system as a web based biomedical text mining tool to find organs and tissues in the articles and create two separate datasets with their frequencies for each disease. After forming these datasets, we apply hierarchical clustering analysis to find similarities between the diseases. Clustering analysis reveals some similarities between diseases. We think that the results of clustered diseases positively affect on the medical research of vasculitic diseases especially during the diagnosis and certain similarities can provide different views to medical specialists.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 2
    An Approach To Discrete Convexity and Its Use in an Optimal Fleet Mix Problem
    (Springer-verlag Berlin, 2007) Cambini, R.; Riccardi, R.; Yüceer, Ü.; Yueceer, Uemit
    A notion of convexity for discrete functions is first introduced, with the aim to guarantee both the increasing monotonicity of marginal increments and the convexity of the sum of convex functions. Global optimality of local minima is then studied both for single variable functions and for multi variables ones. Finally, a concrete optimal fleet mix problem is studied, pointing out its discrete convexity properties. © 2006 Springer-Verlag Berlin Heidelberg.