Now showing items 1-20 of 177

  • A Computerized Recognition System for the Home-Based Physiotherapy Exercises Using an RGBD Camera 

    Authors:Ar, İlktan; Akgül, Yusuf Sinan
    Publisher and Date:(IEEE, 2014)
    Computerized recognition of the home based physiotherapy exercises has many benefits and it has attracted considerable interest among the computer vision community. However most methods in the literature view this task as a special case of motion recognition. In contrast we propose to employ the three main components of a physiotherapy exercise (the motion patterns the stance knowledge and the exercise object) as different recognition tasks and embed them separately into the recognition system. ...

  • A framework for combined recognition of actions and objects 

    Authors:Ar, İlktan; Akgül, Yusuf Sinan
    Publisher and Date:(Springer-Verlag Berlin, 2012)
    This paper proposes a novel approach to recognize actions and objects within the context of each other. Assuming that the different actions involve different objects in image sequences and there is one-to-one relation between object and action type we present a Bayesian network based framework which combines motion patterns and object usage information to recognize actions/objects. More specifically our approach recognizes high-level actions and the related objects without any body-part segmentation ...

  • A location-based movie advisor application for android devices 

    Android is one of the world’s most popular mobile platforms. There are more than 600000 applications available today’s market place. Movie advisor applications are also available in Google Play but there is no location-based movie advisor application for Android devices in Google Play and any other marketplace. A Location-Based Service is a mobile computing application that provides information and functionality to users based on their geographical location. In this study a location-based movie ...

  • A low-complexity KL expansion-based channel estimator for OFDM systems 

    Authors:Şenol, Habib; Cirpan, Hakan Ali; Panayirci, Erdal
    Publisher and Date:(2005)
    This paper first proposes a computationally efficient pilot-aided linear minimum mean square error (MMSE) batch channel estimation algorithm for OFDM systems in unknown wireless fading channels. The proposed approach employs a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and finds MMSE estimates of the uncorrelated KL series expansion coefficients. Based on such an expansion no matrix inversion is required in the proposed ...

  • A low-complexity time-domain MMSE channel estimator for space-time/frequency block-coded OFDM systems 

    Focusing on transmit diversity orthogonal frequency-division multiplexing (OFDM) transmission through frequency-selective channels this paper pursues a channel estimation approach in time domain for both space-frequency OFDM (SF-OFDM) and space-time OFDM (ST-OFDM) systems based on AR channel modelling. The paper proposes a computationally efficient pilot-aided linear minimum mean-square-error (MMSE) time-domain channel estimation algorithm for OFDM systems with transmitter diversity in unknown ...

  • A monitoring system for home-based physiotherapy exercises 

    Authors:Ar, İlktan; Akgül, Yusuf Sinan
    Publisher and Date:(2013)
    This paper describes a robust low-cost vision based monitoring system for home-based physical therapy exercises (HPTE). Our system contains two different modules. The first module achieves exercise recognition by building representations of motion patterns stance knowledge and object usage information in gray-level and depth video sequences and then combines these representations in a generative Bayesian network. The second module estimates the repetition count in an exercise session by a novel ...

  • A non-communicating multi-robot system with switchable formations 

    Authors:Cezayirli, Ahmet; Kerestecioǧlu, Feza
    Publisher and Date:(2013)
    We consider connected navigation of autonomous mobile robots with transitions in the group formation. The robots navigate using simple local steering rules without requiring explicit communication among themselves. The formations are achieved by designing proper cost functions and formation transitions are succeeded by switching among these cost functions. The resulting system is proven to be deadlock-free under certain conditions. © 2013 IEEE.

  • A novel hybrid approach for sentiment classification of TURKISH tweets for GSM operators 

    The increase in the amount of content shared on social media makes it difficult to extract meaningful information from scientific studies. Accordingly in recent years researchers have been working extensively on sentiment analysis studies for the automatic evaluation of social media data. One of the focuses of these studies is sentiment analysis on tweets. The more tweets are available the more features in terms of words exist. This leads to the curse of dimensionality and sparsity resulting in a ...

  • A Novel Image Steganography Technique based on Similarity of Bits Pairs 

    Authors:Shehzad, Danish; Daǧ, Tamer
    Publisher and Date:(IEEE, 2017)
    Steganography is one of the most important information hiding mechanism which can be used along with cryptography for providing adequate data security. The common Steganographic mediums used are text image audio and video for hiding secret information. In the case of image medium mostly least significant bits of pixels of a cover image are used for hiding secret information. In this paper a new technique based on pairs matching is proposed data bits of the message to be secured are arranged in ...

  • A portable high-productivity approach to program heterogeneous systems 

    Authors:Bozkuş, Zeki; Fraguela, Basilio B.
    Publisher and Date:(IEEE, 2012)
    The exploitation of heterogeneous resources is becoming increasingly important for general purpose computing. Unfortunately heterogeneous systems require much more effort to be programmed than the traditional single or even multi-core computers most programmers are familiar with. Not only new concepts but also new tools with different restrictions must be learned and applied. Additionally many of these approaches are specific to one vendor or device resulting in little portability or rapid ...

  • A re-configuring sliding-mode controller with a ustable robustness 

    In this paper a controller design method for underwater vehicles is presented which is based on re-configuration of a sliding-mode controller in case of disturbances caused by shallow water conditions. The disturbance distribution information can be obtained and used to update the corrective gain vector of the sliding-mode controller. This increases the robustness of the controller and hence keeps the system performance within acceptable limits. Proposed method is validated with simulations on a ...

  • A review on the recent energy-efficient approaches for the Internet protocol stack 

    Authors:Cengiz, Korhan; Daǧ, Tamer
    Publisher and Date:(Springeropen, 2015)
    The reduction of energy consumption has become a key research area for the information and communication technology (ICT) industry due to economical environmental and marketing reasons. While the environmental direction aims at minimization of greenhouse gas emissions by enforcing the usage of renewable energy in the ICT industry economical and marketing directions lead researchers to design low-power components or develop and enhance energy-saving protocols without an impact on the level of the ...

  • A Robust Localization Framework to Handle Noisy Measurements in Wireless Sensor Networks 

    Authors:Erten, Cesim; Karataş, Ömer
    Publisher and Date:(IEEE, 2009)
    We construct a robust localization framework to handle noisy measurements in wireless sensor networks. Traditionally many approaches employ the distance information gathered from ranging devices of the sensor nodes to achieve localization. However the measurements of these devices may contain noise both as hardware noise and as environmental noise due to the employment conditions of the network. It Is necessary to provide a general framework that handles such a noise in data and yet still be ...

  • A software architecture for inventory management system 

    Authors:Arsan, Taner; Başkan, Emrah; Ar, Emrah; Bozkuş, Zeki
    Publisher and Date:(2013)
    Inventory Management is one of the basic problems in almost every company. Before computer age and integration paper tables and paperwork solutions were being used as inventory management tools. These we very far from being a solution took so much time even needed employees just for this section of organization. There was no an efficient solution available in the many companies during these days. Every process was based on paperwork human fault rate was high the process and the tracing the inventory ...

  • A Software Component Architecture for Adaptive and Predictive Rate Control of Video Streaming 

    Authors:Arsan, Taner; Saydam, Tuncay
    Publisher and Date:(Springer, 2008)
    Quality of Service and Transmission Rate Optimization in live and on-demand video streaming is a very important issue in lossy IP networks. Infrastructure of the Internet exhibits variable bandwidths delays congestions and time-varying packet losses. Because of such attributes video streaming applications should not only have good end-to-end transport layer performance but also a robust rate control optimization mechanisms. This paper gives an overview of video streaming applications and proposal ...

  • A synthesis tool for the multiplierless realization of FIR-based multirate DSP systems 

    Authors:Yurdakul, Arda
    Publisher and Date:(IEEE, 2000)
    In this study a synthesis tool using a novel multirate folding technique which handles each FIR filter in a multirate DSP system as a single node is developed. A new architecture is presented for the multiplierless realization of a fold of multirate FIR filters. This synthesizer fully exploits the redundancies (i.e. `idle' and `missing' cycles) and common terms in multirate systems without sacrificing from overall system quality to produce multiplierless multirate systems. It also enables the usage ...

  • Accelerating Brain Simulations on Graphical Processing Units 

    Authors:Kayraklıoğlu, Engin; El-Ghazawi, Tarek A.; Bozkuş, Zeki
    Publisher and Date:(IEEE, 2015)
    NEural Simulation Tool(NEST) is a large scale spiking neuronal network simulator of the brain. In this work we present a CUDA(R) implementation of NEST. We were able to gain a speedup of factor 20 for the computational parts of NEST execution using a different data structure than NEST's default. Our partial implementation shows the potential gains and limitations of such possible port. We discuss possible novel approaches to be able to adapt generic spiking neural network simulators such as NEST ...

  • Accurate indoor positioning with ultra-wide band sensors 

    Authors:Arsan, Taner
    Publisher and Date:(Tubitak, 2020)
    Ultra-wide band is one of the emerging indoor positioning technologies. In the application phase, accuracy and interference are important criteria of indoor positioning systems. Not only the method used in positioning, but also the algorithms used in improving the accuracy is a key factor. In this paper, we tried to eliminate the effects of off-set and noise in the data of the ultra-wide band sensor-based indoor positioning system. For this purpose, optimization algorithms and filters have been ...

  • Accurate Refinement Of Docked Protein Complexes Using Evolutionary Information And Deep Learning 

    One of the major challenges for protein docking methods is to accurately discriminate native-like structures from false positives. Docking methods are often inaccurate and the results have to be refined and re-ranked to obtain native-like complexes and remove outliers. In a previous work we introduced AccuRefiner a machine learning based tool for refining protein-protein complexes. Given a docked complex the refinement tool produces a small set of refined versions of the input complex with lower ...

  • Action Recognition Using Random Forest Prediction with Combined Pose-based and Motion-based Features 

    Authors:Ar, İlktan; Akgül, Yusuf Sinan
    Publisher and Date:(IEEE, 2013)
    In this paper we propose a novel human action recognition system that uses random forest prediction with statistically combined pose-based and motion-based features. Given a set of training and test image sequences (videos) we first adopt recent techniques that extract low-level features: motion and pose features. Motion-based features which represent motion patterns in the consecutive images are formed by 3D Haar-like features. Pose-based features are obtained by the calculation of scale invariant ...