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New Approaches Based on Real and Complex Forms of Ripplet-I Transform for Image Analysis

YAŞAR, Hüseyin | CEYLAN, Murat

The multi resolution analysis are important parts of image processing. Curvelet transform is analysis method which have been using wide variety of applications in multi resolution analysis. Ripplet-I transform is defined by recently generalising of the curvelet transform by adding parameters support (c) and degree (d). Even though this transform has been found out recently, it has been using wide variety of applications. Fast discrete and complex fast discrete versions of ripplet-I transform were examined by this study. In denoising application, better results were obtained with fast discrete ...Daha fazlası

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Network Security Scoring

KAÇAR, Mustafa Sami | ÖZTOPRAK, Kasım

Network Security is one of the most critical issues of establishments like universities, govermental and private institutions which have significant role on development and security of a state. These establishments use internet to share and keep official information, and to make their institutive operations. A cyber attack that targetted such establishments networks may cause a great loss. Therefore, networks of these establishments ought to protect on a high level security. In this paper, a system is offered which is able to investigate networks of institutions and ranking their network by pr ...Daha fazlası

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Electromagnetic Acoustic Transducer for cracks detection in conductive material

BOUGHEDDA, Houssem | HACIB, Tarik | CHELABI, Mohamed | AÇIKGÖZ, Hulusi | LE BIHAN, Yan

This paper is concerned with the characterization methodologies of defects in conducting materials by an Electromagnetic Acoustic Transducer (EMAT) testing system. It has been developed to create a virtual environment for Non-Destructive Testing (NDT) before implementing it in real, to study the change effect on the defect geometry at the signal received. EMAT is a new technology, which provides a noncontact process of testing materials compared to ultrasonic testing technique. This work is based on the simulation of two-dimensional numerical model, using Finite Element Method, (FEM) like a si ...Daha fazlası

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A Novel Method and Mobile System for Accurate Heart Rate Measurement from Finger and Face

GÖNÜLTAŞ, Emre | DEMİRBAŞÇI, Oğuz | MENDİ, Engin

Heart rate is an important vital indicator which provides information about the rhythm of the heart and helps in diagnosing several heart diseases. As it can be usually determined manually, there are also some medical devices that automatically measure heart rate. Measuring heart rate quickly and consistently may play important role in the early detection of heart attack and various heart rate related disorders. In this work, a mobile based system that performs quick and practical heart rate measurement. Processing RGB color changes in the image frames recorded from finger or face, which canno ...Daha fazlası

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Applications of Fuzzy Approach in Medicine. Problems and Perspectives

ALLAHVERDİ, Novruz

Purpose of this work is briefly explaining the techniques of Artificial Intelligence (AI) and to give some examples of applications fuzzy expert systems (FES) in medical areas. These examples include determining of diseases risk such prostate cancer, 10 years behavior for diagnosis and therapy of coronary heart disease, for health status during cardiac surgery, fuzzy control of the air environment of an operating room, for predicting disease severity of the iron anemia, and fuzzy risk of being diabetes type 2. Further, some problems and perspectives of the use of AI in medicine are given. © 20 ...Daha fazlası

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Identifying trolls and determining terror awareness level in social networks using a scalable framework

MUTLU, Büşra | MUTLU, Merve | ÖZTOPRAK, Kasım | DOĞDU, Erdoğan

Trolls in social media are 'malicious' users trying to propagate an opinion or distort the general perceptions. Identifying trolls in social media is a task of interest for many big data applications since data cannot be analyzed effectively without eliminating such users from the crowd. In this paper, we present a solution for troll detection and also the results of measuring terror awareness among social media users. We used Twitter platform only, and applied several machine learning techniques and big data methodologies. For machine learning we used k-Nearest Neighbour (kNN), Naive Bayes, a ...Daha fazlası

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Microwave characterization using partial least square regression

SADOU, Hakim | HACIB, Tarik | LE BIHAN, Yan | AÇIKGÖZ, Hulusi | MEYER, Olivier

Inverse problems for determination of dielectric materials properties (complex permittivity) are usually solved by iterative methods using numerically based forward model. These methods are computationally expensive. In this paper, we propose a fast inversion model based on partial least square regression (PLSR). The idea is to build a model able to predict in real time the properties of the sample under test using measurements of admittance or reflexion coefficient of the propagating electromagnetic micro wave along the coaxial line. Numerical solution of the direct problem is made using Fini ...Daha fazlası

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A Systematic Circular Weight Initialisation of Kohonen Neural Network for Travelling Salesman Problem

MUHAMMED, Jawad | ALTUN, Halis

Self-organising neural networks have since been employed by researchers in solving the travelling salesman problem. However, with these networks, the final tour length as well as the convergence time, largely depends on the initial weights of the networks. In this paper, systematic initialisation of Kohonen neural network weight in a circle is presented, that involves randomly initialising the weights to be along a circular path, with centroid equals the centroid of all the cities. Our major contribution is on having the circle exhibit different radius on each test run, in order to effectively ...Daha fazlası

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Topic Distribution Constant Diameter Overlay Design Algorithm (TD-CD-ODA)

ÖZTOPRAK, Kasım | LAYAZALI, Sina | DOĞDU, Erdoğan

Publish/subscribe communication systems, where nodes subscribe to many different topics of interest, are becoming increasingly more common in application domains such as social networks, Internet of Things, etc. Designing overlay networks that connect the nodes subscribed to each distinct topic is hence a fundamental problem in these systems. For scalability and efficiency, it is important to keep the maximum node degree of the overlay in the publish/subscribe system low. Ideally one would like to be able not only to keep the maximum node degree of the overlay low, but also to ensure that the ...Daha fazlası

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Real-Time Resistor Color Code Recognition using Image Processing in Mobile Devices

DEMİR, Muhammed Fatih | ÇANKIRLI, Ayşenur | KARABATAK, Begüm | YAVARIABDI, Amir | MENDİ, Engin | KUSETOĞULLARI, Hüseyin

This paper proposes a real-time video analysis algorithm to read the resistance value of a resistor using a color recognition technique. To achieve this, firstly, a nonlinear filtering is applied to input video frame to smooth intensity variations and remove impulse noises. After that, a photometric invariants technique is employed to transfer the video frame from RGB color space to Hue-Saturation-Value (HSV) color space, which decreases sensitivity of the proposed method to illumination changes. Next, a region of interest is defined to automatically detect resistor's colors and then an Euclid ...Daha fazlası

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Statistical analysis of 3D-printed flat GRIN lenses

AÇIKGÖZ, Hulusi | ARYA, Ravi Kumar | MITTRA, Raj

This paper presents the statistical analysis of a 3D printed flat lens by using the Polynomial Chaos Expansion (PCE) analysis technique. The flat lens is fabricated using the 3D printing technology and is based on the grading-index (GRIN) approach. It is composed of several concentric rings with graded relative permittivity, made of a single material with different air holes-host material volume ratio. We show that the hole size can have significant effect on the performance of the lens, especially on the focal distance. PCE analysis enables us also to determine the impact of each individual r ...Daha fazlası

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