Research Outputs

Permanent URI for this communityhttps://hdl.handle.net/20.500.14288/2

Browse

Search Results

Now showing 1 - 10 of 393
  • Placeholder
    Publication
    3D articulated shape segmentation using motion information
    (Institute of Electrical and Electronics Engineers (IEEE), 2010) Department of Computer Engineering; N/A; Yemez, Yücel; Kalafatlar, Emre; Faculty Member; Master Student; Department of Computer Engineering; College of Engineering; Graduate School of Sciences and Engineering; 107907; N/A
    We present a method for segmentation of articulated 3D shapes by incorporating the motion information obtained from time-varying models. We assume that the articulated shape is given in the form of a mesh sequence with fixed connectivity so that the inter-frame vertex correspondences, hence the vertex movements, are known a priori. We use different postures of an articulated shape in multiple frames to constitute an affinity matrix which encodes both temporal and spatial similarities between surface points. The shape is then decomposed into segments in spectral domain based on the affinity matrix using a standard K-means clustering algorithm. The performance of the proposed segmentation method is demonstrated on the mesh sequence of a human actor.
  • Thumbnail Image
    PublicationOpen Access
    3D bioprinted organ?on?chips
    (Wiley, 2022) Mustafaoğlu, Nur; Zhang, Yu Shrike; Department of Mechanical Engineering; N/A; N/A; Dabbagh, Sajjad Rahmani; Sarabi, Misagh Rezapour; Birtek, Mehmet Tuğrul; Taşoğlu, Savaş; Faculty Member; Department of Mechanical Engineering; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); Koç Üniversitesi İş Bankası Yapay Zeka Uygulama ve Araştırma Merkezi (KUIS AI)/ Koç University İş Bank Artificial Intelligence Center (KUIS AI); College of Engineering; Graduate School of Social Sciences and Humanities; Graduate School of Sciences and Engineering; N/A; N/A; N/A; 291971
    Organ-on-a-chip (OOC) platforms recapitulate human in vivo-like conditions more realistically compared to many animal models and conventional two-dimensional cell cultures. OOC setups benefit from continuous perfusion of cell cultures through microfluidic channels, which promotes cell viability and activities. Moreover, microfluidic chips allow the integration of biosensors for real-time monitoring and analysis of cell interactions and responses to administered drugs. Three-dimensional (3D) bioprinting enables the fabrication of multicell OOC platforms with sophisticated 3D structures that more closely mimic human tissues. 3D-bioprinted OOC platforms are promising tools for understanding the functions of organs, disruptive influences of diseases on organ functionality, and screening the efficacy as well as toxicity of drugs on organs. Here, common 3D bioprinting techniques, advantages, and limitations of each method are reviewed. Additionally, recent advances, applications, and potentials of 3D-bioprinted OOC platforms for emulating various human organs are presented. Last, current challenges and future perspectives of OOC platforms are discussed.
  • Thumbnail Image
    PublicationOpen Access
    3D face recognition by projection based methods
    (Society of Photo-optical Instrumentation Engineers (SPIE), 2006) Dutaǧaci, Helin; Sankur, Bülent; Department of Computer Engineering; Yemez, Yücel; Faculty Member; Department of Computer Engineering; College of Engineering
    In this paper, we investigate recognition performances of various projection-based features applied on registered 3D scans of faces. Some features are data driven, such as ICA-based features or NNMF-based features. Other features are obtained using DFT or DCT-based schemes. We apply the feature extraction techniques to three different representations of registered faces, namely, 3D point clouds, 2D depth images and 3D voxel. We consider both global and local features. Global features are extracted from the whole face data, whereas local features are computed over the blocks partitioned from 2D depth images. The block-based local features are fused both at feature level and at decision level. The resulting feature vectors are matched using Linear Discriminant Analysis. Experiments using different combinations of representation types and feature vectors are conducted on the 3D-RMA dataset.
  • Thumbnail Image
    PublicationOpen Access
    3D-printed microneedles in biomedical applications
    (Elsevier, 2021) Rahbarghazi, Reza; Yetişen, Ali Kemal; N/A; Department of Mechanical Engineering; Dabbagh, Sajjad Rahmani; Sarabi, Misagh Rezapour; Sokullu, Emel; Taşoğlu, Savaş; Faculty Member; Faculty Member; Department of Mechanical Engineering; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); Koç University Research Center for Translational Medicine (KUTTAM) / Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi (KUTTAM); Graduate School of Social Sciences and Humanities; Graduate School of Sciences and Engineering; School of Medicine; College of Engineering; N/A; N/A; 163024; 291971
    Conventional needle technologies can be advanced with emerging nano- and micro-fabrication methods to fabricate microneedles. Nano-/micro-fabricated microneedles seek to mitigate penetration pain and tissue damage, as well as providing accurately controlled robust channels for administrating bioagents and collecting body fluids. Here, design and 3D printing strategies of microneedles are discussed with emerging applications in biomedical devices and healthcare technologies. 3D printing offers customization, cost-efficiency, a rapid turnaround time between design iterations, and enhanced accessibility. Increasing the printing resolution, the accuracy of the features, and the accessibility of low-cost raw printing materials have empowered 3D printing to be utilized for the fabrication of microneedle platforms. The development of 3D-printed microneedles has enabled the evolution of pain-free controlled release drug delivery systems, devices for extracting fluids from the cutaneous tissue, biosignal acquisition, and point-of-care diagnostic devices in personalized medicine.
  • Placeholder
    Publication
    A blind fractionally spaced equalization algorithm with global convergence
    (IEEE, 2007) Department of Electrical and Electronics Engineering; Erdoğan, Alper Tunga; Faculty Member; Department of Electrical and Electronics Engineering; College of Engineering; 41624
    In this article we present a fractionally spaced extension of the SubGradient based Blind equalization Algorithm (SGBA). The basic features of the proposed algorithm are the non-linear constraint on the search vector and the selection of the weighting and step size applied to the search vector. It is proven that the algorithm is globally convergent to a perfect equalization point under the well known equalizability conditions for the fractionally spaced setting. The simulation results provided at the end of the article illustrates the relative merit of the proposed algorithm in comparison to the state of the art algorithms.
  • Placeholder
    Publication
    A chemically inducible organelle rerouting assay to probe primary cilium assembly, maintenance, and disassembly in cultured cells
    (Humana Press Inc., 2024) Department of Molecular Biology and Genetics; İşsezer, Fatma Başak Turan; Ercan, Muhammed Erdem; Karalar, Elif Nur Fırat; Department of Molecular Biology and Genetics; Graduate School of Sciences and Engineering; College of Sciences
    The primary cilium is a conserved, microtubule-based organelle that protrudes from the surface of most vertebrate cells as well as sensory cells of many organisms. It transduces extracellular chemical and mechanical cues to regulate diverse cellular processes during development and physiology. Loss-of-function studies via RNA interference and CRISPR/Cas9-mediated gene knockouts have been the main tool for elucidating the functions of proteins, protein complexes, and organelles implicated in cilium biology. However, these methods are limited in studying acute spatiotemporal functions of proteins as well as the connection between their cellular positioning and functions. A powerful approach based on inducible recruitment of plus or minus end-directed molecular motors to the protein of interest enables fast and precise control of protein activity in time and in space. In this chapter, we present a chemically inducible heterodimerization method for functional perturbation of centriolar satellites, an emerging membrane-less organelle involved in cilium biogenesis and function. The method we present is based on rerouting of centriolar satellites to the cell center or the periphery in mammalian epithelial cells. We also describe how this method can be applied to study the temporal functions of centriolar satellites during primary cilium assembly, maintenance, and disassembly.
  • Thumbnail Image
    PublicationOpen Access
    A cross-layer design for QoS support in cognitive radio sensor networks for smart grid applications
    (Institute of Electrical and Electronics Engineers (IEEE), 2012) Güngör, Vehbi C.; Shah, Ghalib Asadullah; Akan, Özgür Barış; Faculty Member; College of Engineering
    In this paper, we propose a cross-layer design to meet the QoS requirements for smart grids employing the cognitive radio sensor networks for their control and monitoring operations. Existing routing protocols pertaining to QoS support are not able to simultaneously handle traffic of different characteristics present in smart grids. Therefore, considering the traffic heterogeneity of smart grid applications exhibiting diverse QoS requirements, a set of priority classes is defined in order to differentiate the traffic for the respective service. Specifically, the problem is formulated as a weighted network utility maximization (WNUM) whose objective is to maximize the weighted sum of flows service. A cross-layer heuristic solution is provided to solve the utility optimization problem by performing joint routing, dynamic spectrum allocation and medium access. Performance of the proposed protocol is evaluated using ns-2, which shows that the number of flows belonging to each class are served according to their weight fraction with their respective data rate, latency and reliability requirement.
  • Placeholder
    Publication
    A dual-mode quadruple precision floating-point divider
    (IEEE, 2006) N/A; N/A; N/A; İşseven, Aytunç; Akkaş, Ahmet; Master Student; Faculty Member; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A
    Many scientific applications require more accurate computations than double precision or double-extended precision floating-point arithmetic. This paper presents the design of a dual-mode quadruple precision floating-point divider that also supports two parallel double precision division. A radix- 4 SRT division algorithm with minimal redundancy is used to implement the dual-mode quadruple precision floating-point divider. To estimate area and worst case delay, a double, a quadruple, a dual-mode double, and a dual-mode quadruple precision floating-point division units are implemented in VHDL and synthesized. The synthesis results show that the dual-mode quadruple precision divider requires 22% more area than the quadruple precision divider and the worst case delay is 1% longer. A quadruple precision division takes fifty nine cycles and two parallel double precision division take twenty nine cycles.
  • Placeholder
    Publication
    A nanoscale communication channel with fluorescence resonance energy transfer (FRET)
    (IEEE, 2011) Department of Electrical and Electronics Engineering; N/A; Akan, Özgür Barış; Kuşcu, Murat; Faculty Member; Master Student; Department of Electrical and Electronics Engineering; College of Engineering; Graduate School of Sciences and Engineering; 6647; 316349
    In this study, a novel and physically realizable nanoscale communication paradigm is introduced based on a well-known phenomenon, Fluorescence Resonance Energy Transfer (FRET) for the first time in the literature. FRET is a nonradiative energy transfer process between fluorescent molecules based on the dipole-dipole interactions of molecules. Energy is transferred rapidly from a donor to an acceptor molecule in a close proximity such as 0 to 10 nm without radiation of a photon. Low dependency on the environmental factors, controllability of its parameters and relatively wide transfer range make FRET a promising candidate to be used for a high rate nanoscale communication channel. In this paper, the simplest form of the FRET-based molecular communication channel for a single transmitter and a single receiver nanomachine is modeled. Furthermore, using the information theoretical approach, the capacity of the point-to-point communication channel is investigated and the dependency of the capacity on some environmental and intrinsic parameters is analyzed. It is shown that the capacity can be increased by appropriately selecting the donor-acceptor pair, the medium, the intermolecular distance and the orientation of the molecules.
  • Thumbnail Image
    PublicationOpen Access
    A narrow-band multi-resonant metamaterial in near-ir
    (Multidisciplinary Digital Publishing Institute (MDPI), 2020) Ali, Farhan; Department of Physics; Ramazanoğlu, Serap Aksu; Faculty Member; Department of Physics; College of Sciences; 243745
    We theoretically investigate a multi-resonant plasmonic metamaterial perfect absorber operating between 600 and 950 nm wavelengths. The presented device generates 100% absorption at two resonance wavelengths and delivers an ultra-narrow band (sub-20 nm) and high quality factor (Q = 44) resonance. The studied perfect absorber is a metal–insulator–metal configuration where a thin MgF2 spacer is sandwiched between an optically thick gold layer and uniformly patterned gold circular nanodisc antennas. The localized and propagating nature of the plasmonic resonances are characterized and confirmed theoretically. The origin of the perfect absorption is investigated using the impedance matching and critical coupling phenomenon. We calculate the effective impedance of the perfect absorber and confirm the matching with the free space impedance. We also investigate the scattering properties of the top antenna layer and confirm the minimized reflection at resonance wavelengths by calculating the absorption and scattering cross sections. The excitation of plasmonic resonances boost the near-field intensity by three orders of magnitude which enhances the interaction between the metamaterial surface and the incident energy. The refractive index sensitivity of the perfect absorber could go as high as S = 500 nm/RIU. The presented optical characteristics make the proposed narrow-band multi-resonant perfect absorber a favorable platform for biosensing and contrast agent based bioimaging.