Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395

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Now showing 1 - 8 of 8
  • Conference Object
    Effect of Bilinear Interpolation on the Texture Analysis of Colonoscopy Images
    (IEEE345 E 47TH ST, NEW YORK, NY 10017 USA, 2017) Kacmaz, Rukiye Nur; Yilmaz, Bulent
    Interpolation is a method that is used to obtain unknown intensities with the help of known intensities on an image. This method is frequently used in the literature to eliminate light reflection on colonoscopy images. Texture features are the most important characteristics used to describe the region or objects of interest in the image. They are the measures of intensity variation of a surface that determine properties such as smoothness, roughness, and regularity. The aim of this study is to find out the how bilinear interpolation applied on colonoscopy images with reflection impact texture features obtained from the same images. A research carried out to make reasonable comparison between a texture feature from an image with no reflection and the same feature obtained from the same image with synthetically added reflections with various percentages. Using the approaches like gray level co-occurence matrix (GLCM), gray level run length matrix (GLRLM), neighborhood gray tone difference matrix (NGTDM) 126 features were extracted from each 32x32 sub-images coming from 610 colonoscopy images. Several of the features extracted from sub-images with no reflection and reflection were not statistically significantly different, while majority of them were affected from the reflections.
  • Book Part
    Citation - Scopus: 3
    People’s Republic of China
    (SPRINGER, 2022) Alsancak, İbrahim; Aydın, Güldenur; Islam, Md. Nazmul
    The People’s Republic of China (PRC) was established on October 1, 1949, and it is governed by a single-party system, The Communist Party of China (CCP). The president is also the Chinese Communist Party’s leader. The People’s Republic of China’s (PRC) new Constitution was approved in 1982. The Presidency of the People’s Republic of China, the State Council, the Central Military Commission, the National People’s Congress, the Political Consultative Conference of the People of China, the Supreme Court, and the Attorney General are the central organs of the state. Although PRC does not define itself as a federal state, it has five autonomous regions, territories, counties, rural towns, and it has created some constitutional governance understanding for these local governments. NGOs are recently developing in China. China is also leading country about artificial intelligence and high techs.
  • Book Part
    Citation - Scopus: 1
    Migration
    (Emerald Group Publishing Ltd., 2022) Sirkeci, Ibrahim; Teke-Lloyd, Fatma Armagan; Lloyd, Armagan Teke
    Migration
  • Conference Object
    Course of unborn baby's heart by wireless baby tracking system
    (IEEE Computer Society, 2013-11) Özbilen, Metin Mete; Yigit, Enes; Isiker, Hakan; Kaplanoglu, Mustafa
    The most important problem for pregnant and gynecologist is tracking of unborn baby. An important part of infant deaths occur in the last months of pregnancy. For this reason, by using an external fetal monitor non-stress test (NST) measurements are done for gathering information about the baby's condition. This method is a procedure that requires specialist from a medical center. The proposed study aims wirelessly transmission of NST measurement results to the specialist or health center. Thus, in case of any particular problems by giving notice to the patient, it is intended to provide her being shipped to the nearest medical facility.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 9
    Human identification using palm print images based on deep learning methods and gray wolf optimization algorithm
    (SPRINGER, 2023-10-24) Alshakree, Firas; Akbas, Ayhan; Rahebi, Javad
    Palm print identification is a biometric technique that relies on the distinctive characteristics of a person’s palm print to distinguish and authenticate their identity. The unique pattern of ridges, lines, and other features present on the palm allows for the identification of an individual. The ridges and lines on the palm are formed during embryonic development and remain relatively unchanged throughout a person’s lifetime, making palm prints an ideal candidate for biometric identification. Using deep learning networks, such as GoogLeNet, SqueezeNet, and AlexNet combined with gray wolf optimization, we achieved to extract and analyze the unique features of a person’s palm print to create a digital representation that can be used for identification purposes with a high degree of accuracy. To this end, two well-known datasets, the Hong Kong Polytechnic University dataset and the Tongji Contactless dataset, were used for testing and evaluation. The recognition rate of the proposed method was compared with other existing methods such as principal component analysis, including local binary pattern and Laplacian of Gaussian-Gabor transform. The results demonstrate that the proposed method outperforms other methods with a recognition rate of 96.72%. These findings show that the combination of deep learning and gray wolf optimization can effectively improve the accuracy of human identification using palm print images.
  • Article
    Phase-Synchronized Fluidic Oscillator Pair
    (AMER INST AERONAUTICS ASTRONAUTICS, 1801 ALEXANDER BELL DRIVE, STE 500, RESTON, VA 22091-4344 USA, 2019) Tomac, Mehmet N; Gregory, James W.
    The relative phase of oscillating jets from a pair of fluidic oscillators was synchronized in this work. The means for this synchronization was mutual interaction through a shared feedback channel between the two oscillators. Flow visualization and hot-wire measurements indicated a strong correlation and phase synchronization between the two oscillators. A numerical analysis offered better understanding of the internal flow physics that led to the synchronization phenomenon. A portion of the output jet from one fluidic oscillator was redirected and crossed over into the adjacent oscillator, leading to momentum transfer between the two oscillators. A portion of this cross-oscillator flow was directed into the shared feedback channel and constituted the main feedback flow. In this process, one of the shared feedback channel outlets was blocked by a vortex, allowing only one oscillator to receive feedback flow. The primary mechanism for in-phase synchronization was the cross-oscillator flow, which was divided into phase-modulated momentum injection to the primary jet and modulated flow input to the shared channel feedback channel.
  • Article
    A rational utilization of reinforcement material for flexural design of 3D-printed composite beams
    (SAGE PUBLICATIONS LTD, 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND, 2019) Ciftci, Cihan; Sas, Hatice S.
    Recent developments in composite industry address the adaptation of 3D printing technology to overcome the design and manufacturing challenges of the traditional composite processing techniques. This adaptation can be performed with the development of design methodologies corresponding to the type of structural load-carrying members in a structure. Considering the frequently use of beams in structures, the development of the design methodology of beams is essential for the adaptation of the additive manufacturing. Therefore, in this paper, the flexural loading concept is analytically formulated to derive moment capacity for the flexural behavior of 3D-printed composite beams. Then, the formulation is adapted to develop a design methodology of 3D-printed laminates under flexural loading. Additionally, the analytical solutions developed for the design methodology presented in this paper were verified with a good agreement with experimental studies.
  • Other
    Structure Health Monitoring Using Wireless Sensor Networks on Structural Elements (vol 82, pg 68, 2019)
    (ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2020) Ayyildiz, Cem; Erdem, H. Emre; Dirikgil, Tamer; Dugenci, Oguz; Kocak, Taskin; Altun, Fatih; Gungor, V. Cagri
    This paper presents a system that monitors the health of structural elements in Reinforced Concrete (RC), concrete elements and/or masonry buildings and warn the authorities in case of physical damage formation. Such rapid and reliable detection of impairments enables the development of better risk management strategies to prevent casualties in case of earthquake and floods. Piezoelectric (PZT) sensors with lead zirconate titanate material are the preferred sensor type for fracture detection. The developed sensor mote hardware triggers the PZT sensors and collects the responses they gather from the structural elements. It also sends the collected data to a data center for further processing and analysis in an energy-efficient manner utilizing low-power wireless communication technologies. The access and the analysis of the collected data can be remotely performed via a web interface. Performance results show that the fractures serious enough to cause structural problems can be successfully detected with the developed system.