S. Liu | E. Masazade | M. Fardad | P.K. Varshney

Conference Object | 2015 | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings2015-August , pp.4030 - 4034

We study the problem of adaptive sensor management for target tracking, where at every instant we search for the best sensors to be activated at the next time step. In our problem formulation, the measurements may be corrupted by correlated noises, and the impact of correlated measurements on sensor selection is studied. Specifically, we adopt an alternative conditional posterior Cramér-Rao lower bound (C-PCRLB) as the optimization criterion for sensor selection, where the trace of the conditional Fisher information matrix is maximized subject to an energy constraint. We demonstrate that the proposed sensor selection problem can be . . .transformed into the problem of maximizing a convex quadratic function over a bounded polyhedron. This optimization problem is NP-hard in nature, and thus we employ a linearization method and a bilinear programming approach to obtain locally optimal sensor schedules in a computationally efficient manner. © 2015 IEEE Daha fazlası Daha az

Ozer, YE | Kocoglu, Z

Conference Object | 2015 | INTED2015: 9TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE , pp.1630 - 1634

The main goal of this thesis is to investigate the effect of two vocabulary learning approaches: 1) Computer-assisted Language Learning (CALL) with a computer-based flashcards program, Quizlet, 2) Keeping vocabulary notebooks on high school EFL learners' vocabulary learning. The vocabulary targeted for the study is determined from three sequential units of the textbook. The units are determined randomly considering the starting date of the study. Eighty-nine students in four beginner EFL classes were randomly assigned as control or treatment groups. A computer-based flashcard program (Quizlet) and a vocabulary notebook program was i . . .mplemented in two different classes over a 3 week period. The remaining two classes acting as control groups followed the same curriculum with the same materials without using Quizlet or keeping vocabulary notebooks. Vocabulary acquisition was measured by pre, post and delayed post-tests of unannounced vocabulary tests including orthography, grammatical accuracy and use adapted from [1] Laufer & Goldstein (2004) and, meaning and form, adapted from [2] Webb (2009). Pre, post and delayed post-test scores of students were analyzed to evaluate the effectiveness of the learning process. Learners' perceptions about the training are also investigated by means of interviews. The results show that participants who learned the target words through Quizlet Flashcard Software Program outperformed those who completed the tasks by means of vocabulary notebook and control group. The analysis of the differences between the two tasks (receptive and productive) for each aspect (orthography, meaning and form, grammar) shows that the tasks measuring receptive knowledge led to significantly higher gains than tasks measuring productive knowledge of all three groups Daha fazlası Daha az

Utku, F.S. | Seckin, E. | Goller, G. | Tamerler, C. | Urgen, M.

Conference Object | 2015 | Applied Surface Science350 , pp.62 - 68

Titanium-based implants are key weight-bearing materials in biomedical engineering due to their excellent bulk mechanical properties and biocompatibility. Designing tissue-material interfaces of titanium implants is essential for an increase in osteointegration of engineered implant materials. Surface morphology is a crucial determinant in the construction of biocompatible and osteointegrative orthopedic and dental implants. Biomimicry of the structural features of bone, specifically its macro-to-mesoporosity, may enable the bone cells to osteointegrate, attain and maintain a physiological strain level. In this study, the surface ch . . .emistry and morphology of commercially pure titanium plates were modified using electrochemistry. Titanium oxide substrates were prepared by dual acid polishing and alkaline anodization using 0.1 M KOH in an electrochemical cell with a stainless steel cathode and an anodic voltage of 40 V at 20 °C for 3 min. FE-SEM characterization revealed macro-mesoporous anodized titania surfaces, which were coated by hydroxyapatite using simulated body fluid and pulsed electrochemical deposition at 80 °C, while unprocessed commercially pure titanium surfaces were used as controls. The calcium phosphate deposit on titania plates was characterized as calcium-deficient carbonated hydroxyapatite using XRD, FTIR and FE-SEM, whereas the deposit on non-porous, non-functionalized titanium surfaces was characterized as carbonated apatite. The adhesion strength of the hydroxyapatite coated titania surfaces was 38 ± 10 MPa, implying that these surfaces may be suitable for biological and chemical functionalization of medical implants to tune bioactivity, including delivering drugs. © 2015 Elsevier B.V. All rights reserved Daha fazlası Daha az

Sogut, I | Ersoz, M | Paltun, SO | Sogut, SM | Hurdag, C

Conference Object | 2015 | FEBS JOURNAL282 , pp.239 - 239

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Özdamar, L. | Ertem, M.A.

Conference Object | 2015 | European Journal of Operational Research244 ( 1 ) , pp.55 - 65

We present a survey that focuses on the response and recovery planning phases of the disaster lifecycle. Related mathematical models developed in this area of research are classified in terms of vehicle/network representation structures and their functionality. The relationships between these characteristics and model size are discussed. The review provides details on goals, constraints, and structures of available mathematical models as well as solution methods. In this review, information systems applications in humanitarian logistics are also surveyed, since humanitarian logistics models and their solutions need to be integrated . . .with information technology to enable their use in practice. © 2014 Elsevier B.V. All rights reserved Daha fazlası Daha az

Canbay, F. | Levent, V.E. | Serbes, G. | Goren, S. | Aydin, N.

Conference Object | 2015 | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS2015-November , pp.6026 - 6029

Due to the inherent time-varying characteristics of physiological systems, most biomedical signals (BSs) are expected to have non-stationary character. Therefore, any appropriate analysis method for dealing with BSs should exhibit adjustable time-frequency (TF) resolution. The wavelet transform (WT) provides a TF representation of signals, which has good frequency resolution at low frequencies and good time resolution at high frequencies, resulting in an optimized TF resolution. Discrete wavelet transform (DWT), which is used in various medical signal processing applications such as denoising and feature extraction, is a fast and di . . .scretized algorithm for classical WT. However, the DWT has some very important drawbacks such as aliasing, lack of directionality, and shift-variance. To overcome these drawbacks, a new improved discrete transform named as Dual Tree Complex Wavelet Transform (DTCWT) can be used. Nowadays, with the improvements in embedded system technology, portable real-time medical devices are frequently used for rapid diagnosis in patients. In this study, in order to implement DTCWT algorithm in FPGAs, which can be used as real-time feature extraction or denoising operator for biomedical signals, a novel hardware architecture is proposed. In proposed architecture, DTCWT is implemented with only one adder and one multiplier. Additionally, considering the multi-channel outputs of biomedical data acquisition systems, this architecture is capable of running N channels in parallel. © 2015 IEEE Daha fazlası Daha az

İkeda, K.İ.

Conference Object | 2015 | Springer Proceedings in Mathematics and Statistics98 , pp.45 - 92

6th World Conference on 21st Century Mathematics, WC 2013 -- 6 March 2013 through 9 March 2013 -- -- 122289

Titov, A.

Conference Object | 2015 | International Conference on Fluid Flow, Heat and Mass Transfer , pp.45 - 92

Using synchronous differential thermal measurements, the existence of the thermal surface energy (TSE), resulting from the oriented motion of the coupled field-particle system inside a material artefact, have been demonstrated experimentally with signal-to-noise ratio of several thousands. The TSE appears as a self-ordering evolution process when momentum and energy of an external electromagnetic field are absorbed in a material artifact. As the principle of superposition of EM fields is demonstrated not to be valid in case of TSE, any artefact is found to be in a continuous thermal evolution process (synthesis), which has no symmet . . .ry in space, is irreversible in time and is characterized by hysteresis effect with well-defined hysteresis loop. As the radiated energy, perceived by thermometers, is shown to depend on the oriented motion of the field-particle system, the concept of thermodynamic temperature has to be substituted by a more general one, which is valid in the general case and not only under the assumption of the illusionary, thermal equilibrium conditions. © 2015, Avestia Publishing Daha fazlası Daha az

Yeyin, N | Mohammad, A | Kabasakal, L | Demirci, E | Aygun, A | Ocak, M | Selcuk, N

Conference Object | 2015 | EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING42 , pp.45 - 92

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Atay, I | Ilter, AZ | Bagatur, Y | Telci, D | Goren, AC | Kirmizibekmez, H | Yesilada, E

Conference Object | 2015 | PLANTA MEDICA81 ( 16 ) , pp.1512 - 1512

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Atay, I | Ilter, AZ | Bagatur, Y | Telci, D | Kirmizibekmez, H | Yesilada, E

Conference Object | 2015 | PLANTA MEDICA81 ( 16 ) , pp.1511 - 1511

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Ozcan, AH | Unsalan, C

Conference Object | 2015 | 2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) , pp.1224 - 1227

Automatic extraction of bare-Earth LiDAR points to generate Digital Terrain Model (DTM) is still an ongoing problem. Even though there are several methods for ground filtering, automatic and adaptive methods are still a need due to the complexity of the environment. In this study, we address the ground filtering problem by applying Empirical Mode Decomposition (EMD) to the airborne LiDAR data. EMD is a data-driven method that adapts to the local characteristics of the signal. We benefit from EMD to extract the local trend of the LiDAR height data. This way, can extract a local adaptive threshold to filter ground and non-ground objec . . .ts. We tested our method using the ISPRS LiDAR reference dataset and obtained promising results. We also compared the filtering results with the ones in the literature to show the improvements obtained Daha fazlası Daha az