Nazlıbilek, Sedat

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/8361
Name Variants
S.,Nazlibilek
N., Sedat
Nazlıbilek,S.
Sedat, Nazlıbilek
N.,Sedat
Nazlibilek,S.
S., Nazlibilek
S.,Nazlıbilek
Sedat, Nazlibilek
Nazlıbilek, Sedat
Nazlibilek, Sedat
Job Title
Doçent Doktor
Email Address
Main Affiliation
Department of Mechatronics Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
1
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
1
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
1
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
2
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
1
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

22

Articles

14

Views / Downloads

88/720

Supervised MSc Theses

3

Supervised PhD Theses

3

WoS Citation Count

245

Scopus Citation Count

302

Patents

0

Projects

0

WoS Citations per Publication

11.14

Scopus Citations per Publication

13.73

Open Access Source

1

Supervised Theses

6

JournalCount
Measurement7
Indian Journal of Pure and Applied Physics2
IEEE Transactions on Instrumentation and Measurement2
20th Annual International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2013 -- 20th Annual International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2013 -- 20 September 2013 through 20 September 2013 -- Ankara -- 1022761
International Conference of Control, Dynamic Systems, and Robotics -- 4th International Conference of Control, Dynamic Systems, and Robotics, CDSR 2017 -- 21 August 2017 through 23 August 2017 -- Toronto -- 1399181
Current Page: 1 / 2

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Scholarly Output Search Results

Now showing 1 - 10 of 22
  • Thumbnail Image
    Article
    Citation - WoS: 8
    Citation - Scopus: 13
    White Blood Cells Classifications by SURF Image Matching, PCA and Dendrogram
    (Allied Acad, 2015) Nazlibilek, Sedat; Karacor, Deniz; Erturk, Korhan Levent; Sengul, Gokhan; Ercan, Tuncay; Aliew, Fuad; Department of Mechatronics Engineering; Information Systems Engineering; Computer Engineering
    Determination and classification of white blood cells are very important for diagnosing many diseases. The number of white blood cells and morphological changes or blasts of them provide valuable information for the positive results of the diseases such as Acute Lymphocytic Leucomia (ALL). Recognition and classification of white cells as basophils, lymphocytes, neutrophils, monocytes and eosinophils also give additional information for the diagnosis of many diseases. We are developing an automatic process for counting, size determination and classification of white blood cells. In this paper, we give the results of the classification process for which we experienced a study with hundreds of images of white blood cells. This process will help to diagnose especially ALL disease in a fast and automatic way. Three methods are used for classification of five types of white blood cells. The first one is a new algorithm utilizing image matching for classification that is called the Speed-Up Robust Feature detector (SURF). The second one is the PCA that gives the advantage of dimension reduction. The third is the classification tree called dendrogram following the PCA. Satisfactory results are obtained by two techniques.
  • Thumbnail Image
    Article
    Citation - WoS: 10
    Citation - Scopus: 12
    Anomaly Detection With Low Magnetic Flux: a Fluxgate Sensor Network Application
    (Elsevier Sci Ltd, 2016) Ege, Yavuz; Coramik, Mustafa; Kabadayi, Murat; Citak, Hakan; Kalender, Osman; Yuruklu, Emrah; Nazlibilek, Sedat
    Recent studies on remote detection methods were mostly for improving variables like sensing distance, sensitivity and power consumption. Especially using anisotropic magneto-resistive sensors with low power consumption and high sensitivity for detecting subsurface magnetic materials became very popular in last decades. In our study, for detecting subsurface materials, we have used fluxgate sensor network for having even higher sensitivity and also minimizing the power consumption by detecting the changing rates of horizontal component of earth's magnetic flux which is assumed to be very low. We have constituted a magnetic measurement system which comprises a detector system, which has a mechanism enables sensors to move in 3-D space, a data acquisition module for processing and sending all sensor information, and a computer for running the magnetic flux data evaluation and recording software. Using this system, tests are carried out to detect anomalies on horizontal component of earth's magnetic flux which is created by different subsurface materials with known magnetic, chemical and geometric properties. The harmonics of horizontal component of earth's magnetic flux in scanned area are analyzed by the help of DSP Lock-In amplifier and the amplitudes of high variation harmonics are shown as computer graphics. Using the graphic information, the upside surface geometry of subsurface material is defined. For identifying the magnetic anomalies, we have used the scale-invariant feature transform (SIFT)-binary robust invariant scalable keypoints (BRISKs) as keypoint and descriptor. We used an algorithm for matching the newly scanned image to the closest image in database which is constituted of mines and possible other metal objects like cans, etc. Results show that, if the proposed detection system is used instead of metal detectors which cannot distinguish mines from other metal materials and alert for every type of metal with different geometries, it can be said that miss alarm count, work force and time can be decreased dramatically. In this paper, mostly the setup of the system is described and in Appendix A some experimental outputs of the system for different geometries of metal samples are given. And also for comparing the results of the proposed system, additional experiments are carried out with a different type of sensor chip, namely KMZ51, and also given in Appendix A. (C) 2015 Elsevier Ltd. All rights reserved.
  • Thumbnail Image
    Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Autonomous Multiple Teams Establishment for Mobile Sensor Networks by Svms Within a Potential Field
    (Elsevier Sci Ltd, 2012) Nazlibilek, Sedat
    In this work, a new method and algorithm for autonomous teams establishment with mobile sensor network units by SVMs based on task allocations within a potential field is proposed. The sensor network deployed into the environment using the algorithm is composed of robot units with sensing capability of magnetic anomaly of the earth. A new algorithm is developed for task assignment. It is based on the optimization of weights between robots and tasks. The weights are composed of skill ratings of the robots and priorities of the tasks. Multiple teams of mobile units are established in a local area based on these mission vectors. A mission vector is the genetic and gained background information of the mobile units. The genetic background is the inherent structure of their knowledge base in a vector form but it can be dynamically updated with the information gained later on by experience. The mission is performed in a magnetic anomaly environment. The initial values of the mission vectors are loaded by the task assignment algorithm. The mission vectors are updated at the beginning of each sampling period of the motion. Then the teams of robots are created by the support vector machines. A linear optimal hyperplane is calculated by the use of SVM algorithm during training period. Then the robots are classified as teams by use of SVM mechanism embedded in the robots. The support vector machines are implemented in the robots by ordinary op-amps and basic logical gates. Team establishment is tested by simulations and a practical test-bed. Both simulations and the actual operation of the system prove that the system functions satisfactorily. (C) 2012 Elsevier Ltd. All rights reserved.
  • Thumbnail Image
    Article
    Citation - WoS: 2
    Citation - Scopus: 2
    Optimization of Parameters Acting on a Projectile Velocity Within a Four Stage Induction Coil-Gun
    (Elsevier Sci Ltd, 2010) Coskun, Ismail; Kalender, Osman; Ege, Yavuz; Nazlibilek, Sedat; Cokun, Ismail
    In this work, a four stage induction coil-gun has been designed and the parameters acting on the bullet velocity has been investigated. The mutual inductance variation depending on the bullet coil position, determination of firing point exposed to the maximum force with respect to the length, and appropriate material selection for the bullet coil have been analyzed. Optimum solutions for these parameters have been presented. (C) 2010 Elsevier Ltd. All rights reserved.
  • Thumbnail Image
    Doctoral Thesis
    Modern Denetim Yaklaşımları Kullanan Tek Makinalı Sonsuz Büs Sistemi için Gürbüz Güç Sistemi Kararlılaştırıcı
    (2019) Alı, Issa Yousf Saıd; İrfanoğlu, Bülent; İrfanoğlu, Bülent; İrfanoğlu, Bülent; Nazlıbilek, Sedat; Department of Mechatronics Engineering; Department of Mechatronics Engineering
    Elektriğe olan talebin hızla artması nedeniyle, günümüzde güç sistemleri çeşitli kararsızlık sorunlarına neden olan ve potansiyel olarak ciddi teknik zorluklara yol açan kararlılık sınırları yakınında çalıştırılmaktadır. Konvansiyonel Güç Sistemi Kararlaştırıcıları (KGSK) güç sistemlerinde en yaygın kullanılan denetleyiciler olduğu için, konvansiyonel güç sistem kararlaştırıcılarının performansını artırmak için son yıllarda Genetik algoritmalar, bulanık mantık, partikül sürüsü gibi bazı akıllı optimizasyon algoritmaları kullanan pek çok teknik önerilmiştir. Ancak, kararlılaştırıcı parametrelerinin optimal bir şekilde ayarlanması vasıtasıyla tatminkar bir derecede yerel optimizasyon sağlanabilmiş olmasına rağmen, kararlılaştırıcıların gürbüzlüğü halen kuşkuludur ve çalışma noktası değişiklikleri ve bazı beklenmeyen bozucu etkiler vukuu bulduğunda iyi bir performans garanti etmeyebilmektedir. Bu tezde sistemin dinamik kararlılığının artırılması için güç sisteminde modern gürbüz denetim stratejilerinin iki türünün bir uygulaması sunulmaktadır. Bu iki tür denetim stratejisi Aktif Bozulum Dışlama Denetimi (ABDD) ile Geribesleme Hata Öğrenme Denetimi (GHÖ)'dir. İlk önerilen denetleyici olan ABDD algoritması, bu tür sistemlerde yaygın olarak karşılaşılan sorun yaratıcı bozucu etkilere karşı güç sistemini daha gürbüz kılan bir üstünlüğe sahiptir. ABDD yaklaşımının en önemli özelliği, bazı şartlar altında sistem modeli hakkında çok az bir bilgi gerektirmesidir. Gürbüz bir denetleyici tasarımlamak için açık döngü transfer fonksiyonuna ait bir bilgi oldukça yeterli olmaktadır. İkinci denetleyici olan GHÖ sistemin dinamik kararlılığını artırmak için geribesleme hata öğrenme denetim stratejisi çerçevesinde Yapay sinir Ağı (YSA) teknolojisi kullanan bir denetleyicidir. Konvansiyonel güç sistem kararlılaştırıcısı ile sinir ağını birleştiren GHÖ denetleyicisinin yapısal konfigürasyonunun doğası, onu, yapay sinir ağlarının adaptasyon ve doğrusalsızlık gibi ilave özellikleriyle birlikte, KGSK'nın iyi bilinen avantajlarını içeren güçlü bir denetleyici kılar. Bu tez çalışmasında önerilen ABDD ve GHÖ denetleyicileri küçük bozulmalar altında harici bir reaktans üzerinden Sonsuz Büs'e bağlı Senkron Makinadan ibaret bir güç sistemi için geliştirilmiştir. Hem ABDD ve hem de GHÖ'nün etkinlikleri her ikisinin de optimal olarak akordlu konvansiyonel güç sistem kararlaştırıcı ile kıyaslanmasıyla doğrulanmıştır. Ayrıca, bu kıyaslama önerilen ABDD ve GHÖ denetim stratejilerinin geniş bir çalışma koşulu aralığında yapılmıştır. Tüm testler ve durum çalışmaları Matlab®Simulink® ortamında icra edilmiştir. Simülasyon sonuçları önerilen denetim yöntemlerinin farklı yüklenme koşulları varlığında özellikle de konvansiyonel kararlaştırıcıların başarısız kaldığı bazı kritik çalışma noktalarında sistem kararlılığı ve yüksek performans sağladıklarını göstermiştir.
  • Thumbnail Image
    Article
    Citation - WoS: 5
    Citation - Scopus: 5
    A New Wireless Asynchronous Data Communications Module for Industrial Applications
    (Elsevier Sci Ltd, 2013) Ege, Yavuz; Sensoy, Mehmet Gokhan; Kalender, Osman; Nazlibilek, Sedat; Citak, Hakan
    All the sensors such as temperature, humidity, and pressure used in industry provide analog outputs as inputs for their control units. Wireless transmission of the data has advantages on wired transmission such as USB port, parallel port and serial port and therefore has great importance for industrial applications. In this work, a new wireless asynchronous data communications module has been developed to send the earth magnetic field data around a ferromagnetic material detected by a KMZ51 AMR sensor. The transmitter module transmits the analog data obtained from a source to a computer environment where they are stored and then presented in a graphical form. In this design, an amplitude shift keying (ASK) transceiver working at the frequency of 433.92 MHz which is a frequency inside the so called Industrial Scientific Medical band (ISM band) used for wireless communications. The analog data first fed into a 10-bit ADC controlled by a PIC microcontroller and then the digital data is sent to the transmitter. A preamble bit string is added in front of the data bits and another bit string for achieving synchronization and determination the start of the data is used. The data arriving at the receiver is taken by the microcontroller and sent to a LCD display as well as the serial port of a computer where it is written in a text file. A Visual Basic based graphics interface is designed to receive, store and present the data in the form of graphical shapes. In the paper, all the work has been explained in detail. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.
  • Thumbnail Image
    Doctoral Thesis
    Harici Moment Büyüklüğüne Bağlı Olarak Enerji Üreten Yeni Bir Eksenel Akılı Adımlı Kalıcı Mıknatıslı Senkron Üreteç
    (2018) Mohammed, Esmaıl Saguır Ebrahım; İrfanoğlu, Bülent; Nazlıbilek, Sedat
    Günümüzde küresel ısınma fenomeni artıyor ve ana neden geleneksel enerji üretiminden ve artan enerji talebinden geliyor. Yenilenebilir enerji kaynakları rüzgar, güneş, deniz enerjisi ve nehir enerjisi, bu olguyu azaltmak uygun olmalarinin yaninda ayni zamanda enerji uretimine de katki saglamaktadirlar. Son zamanlarda, elektrik enerjisi üretimi için alternatif enerji popüler hale gelmiştir. Elektrik enerjisi üretmek için çok çeşitli makineler var. Üreteçlerin çoğunda, üretilen gücü regüle etmek için dişli kutuları (şanzıman) kullanılmıştır. Bununla birlikte, bu dişli kutularının rüzgar türbini üreteçlerine bağlamak bazı dezavantajlara sahip olabilir. Örneğin, bu tür sistemler periyodik bakımı gerektirir ve sık görülen arızalara maruz kalabilir. Metal parçalardaki sürtünmeler nedeniyle verimlilikte azalma ve dolayısıyle enerji kaybına neden olabilirler. Güvenilirlikleri azdır. Ağırlıkları fazladır. Bunların periyodik bakımlarını yapmak zor olabilir. Bu dezavantajlardan kaçınabilmek için bu çalışmada üç fazlı çok kademeli eksenel akılı daimi mıknatıslı çekirdeksiz bir üreteç tasarlanmış, modellenmiş, analiz edilmiş ve kontrolü sağlanmıştır. Burada amaç, dişli kutusu olmaksızın doğrudan bağlantı sağlayabilecek bir üretecin tasarımı ve kontrolünü gerçeklemektir. Elde edilecek elektronik denetleyicinin hantal dişli kutularının yerini alması hedeflenmiştir. Bu sayede sıstem bazı önemli avantajlara sahip olacaktır örneğin sistem düşük rüzgar hızlarında enerji sağlayabilecektir, sistemin boyutlarını küçültecek ve ağırlığını düşürecektir, gürültüyü azaltma eğiliminde olacaktır ve sistemin verimliliğini ve güvenilirliğini artıracaktır.
  • Thumbnail Image
    Article
    Citation - WoS: 128
    Citation - Scopus: 163
    Automatic Segmentation, Counting, Size Determination and Classification of White Blood Cells
    (Elsevier Sci Ltd, 2014) Nazlibilek, Sedat; Karacor, Deniz; Ercan, Tuncay; Sazli, Murat Husnu; Kalender, Osman; Ege, Yavuz
    The counts, the so-called differential counts, and sizes of different types of white blood cells provide invaluable information to evaluate a wide range of important hematic pathologies from infections to leukemia. Today, the diagnosis of diseases can still be achieved mainly by manual techniques. However, this traditional method is very tedious and time-consuming. The accuracy of it depends on the operator's expertise. There are laser based cytometers used in laboratories. These advanced devices are costly and requires accurate hardware calibration. They also use actual blood samples. Thus there is always a need for a cost effective and robust automated system. The proposed system in this paper automatically counts the white blood cells, determine their sizes accurately and classifies them into five types such as basophil, lymphocyte, neutrophil, monocyte and eosinophil. The aim of the system is to help for diagnosing diseases. In our work, a new and completely automatic counting, segmentation and classification process is developed. The outputs of the system are the number of white blood cells, their sizes and types. (C) 2014 Elsevier Ltd. All rights reserved.
  • Thumbnail Image
    Article
    Citation - WoS: 5
    Citation - Scopus: 5
    A Study on the Performance of Magnetic Material Identification System by Sift-Brisk and Neural Network Methods
    (Ieee-inst Electrical Electronics Engineers inc, 2015) Ege, Yavuz; Nazlibilek, Sedat; Kakilli, Adnan; Citak, Hakan; Kalender, Osman; Karacor, Deniz; Sengul, Gokhan
    Industry requires low-cost, low-power consumption, and autonomous remote sensing systems for detecting and identifying magnetic materials. Magnetic anomaly detection is one of the methods that meet these requirements. This paper aims to detect and identify magnetic materials by the use of magnetic anomalies of the Earth's magnetic field created by some buried materials. A new measurement system that can determine the images of the upper surfaces of buried magnetic materials is developed. The system consists of a platform whose position is automatically controlled in x-axis and y-axis and a KMZ51 anisotropic magneto-resistive sensor assembly with 24 sensors mounted on the platform. A new identification system based on scale-invariant feature transform (SIFT)-binary robust invariant scalable keypoints (BRISKs) as keypoint and descriptor, respectively, is developed for identification by matching the similar images of magnetic anomalies. The results are compared by the conventional principal component analysis and neural net algorithms. On the six selected samples and the combinations of these samples, 100% correct classification rates were obtained.
  • Thumbnail Image
    Article
    Citation - WoS: 21
    Citation - Scopus: 22
    Mine Identification and Classification by Mobile Sensor Network Using Magnetic Anomaly
    (Ieee-inst Electrical Electronics Engineers inc, 2011) Nazlibilek, Sedat; Kalender, Osman; Ege, Yavuz
    In this paper, a new method is proposed to identify and classify the data obtained by the sensor network (SN) for the detection of mines. This method is used for the identification of antitank and antipersonnel mines and classification of buried objects within a target region. In this paper, a mobile SN is used to detect mines and some other objects buried and creating magnetic anomaly in and around the region where they are found, with the behavior of the individual sensors swarming onto the area under which a mine or any other object is buried. The process of collecting data by the SN and modeling it mathematically are explained in detail. The SN is modeled as a fictitious two-dimensional spatial impulse sampler. This paper is motivated by clearing the territories of mine fields to open them to agriculture. It is very important because, currently, in some countries, very fertile territories around the borders are covered by buried mines. The approach is basically based on magnetic anomaly measurements, which directly tackles the subregions corresponding to buried objects whether they represent objects that are separately located or occluded by other objects. It is based on a new developed method that is called "the back-most object detection and identification algorithm." This method is fully automatic, and there is no human intervention throughout the process. In this paper, classification of objects is based on their well-known shapes and dimensions. Therefore, there is no need for sophisticated learning algorithms to achieve classification. The experimental results are given both for detection and identification of a single mine and classification of a number of mines and any other objects that have a potential of giving false alarms in a target region.