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Conference Object Citation - Scopus: 1A Systematical Review Study To Investigate the Use of Biometric Security Techniques in Automatic Teller Machines: Insight From the Past 15 Years(Institute of Electrical and Electronics Engineers Inc., 2019) Saad,A.M.S.E.In a Technological financial world where everything is progressing very fast and the amount of financial transactions through the automatic teller machines (ATM) on a daily basis is increasing. In parallel to these developments, fraudulent attacks and identity theft targeting to access the ATM and steal money or use bank accounts. Those attacks are always possible through the weak security points in the ATMs. The main aim of this study is to investigate and categorize the different approaches taken to overcome those weak security points by using biometric data along with some traditional methods. Accordingly, a systematical mapping was conducted by focusing on research studies published in the years 2004 to 2019 and addressing to the ATMs and biometric security technologies. After an intense investigation, 23 different systems were investigated using different single and multi-biometric models which make use of 8 different biometric technologies and 5 different traditional technologies as key components. As a conclusion from this research that researchers are leaning towards using biometric data in enhancing the security of the ATMs especially in the past 4 years more than they did before. © 2019 IEEE.Conference Object Citation - Scopus: 33Improving Text Classification With Transformer(Institute of Electrical and Electronics Engineers Inc., 2021) Soyalp,G.; Alar,A.; Ozkanli,K.; Yildiz,B.Huge amounts of text data are produced every day. Processing text data that accumulates and grows exponentially every day requires the use of appropriate automation tools. Text classification, a Natural Language Processing task, has the potential to provide automatic text data processing. Many new models have been proposed to achieve much better results in text classification. The transformer model has been introduced recently to provide superior performance in terms of accuracy and processing speed in deep learning. In this article, we propose an improved Transformer model for text classification. The dataset containing information about the books was collected from an online resource and used to train the models. We witnessed superior performance in our proposed Transformer model compared to previous state-of-art models such as L S T M and CNN. © 2021 IEEEConference Object Citation - Scopus: 1Characterization of satellite transponder impairments based on simulations with test data(Institute of Electrical and Electronics Engineers Inc., 2015) Ulubey,O.; Gulgonul,S.; Kara,A.A satellite transponder simulator based on actual test data of TURKSAT 3A satellite has been developed to analyze degradation in multicarrier scenarios. Communication impairment sources through a transponder are explained in conjunction with a methodology defined to characterize total degradation resulting from them. Several transponder utilization scenarios are studied with respect to total degradation and optimum operation conditions are demonstrated. © 2015 IEEE.Conference Object Citation - Scopus: 2New Wavelet-Based Features for the Recognition of Jittered and Stagger Pri Modulation Types;(Institute of Electrical and Electronics Engineers Inc., 2015) Gencol,K.; Kara,A.; At,N.In dense electronic warfare environments, numerous emitters can be active simultaneously and an interleaved stream of pulses in natural time of arrival order is received by the Electronic Support Measures (ESM) receiver. It is the task of the ESM system to de-interleave this mixed pulse sequence and thus to identify the surrounding threatening emitters. In this processing, pulse repetition interval (PRI) modulation recognition has a significant role due to the fact that it can reveal the hidden patterns inside pulse repetition intervals and thus help identify the emission source and its functional purpose. In this paper, we propose new wavelet-based features for the recognition of jittered and stagger PRI modulation types. The recognition of these types are heavily based on histogram features. Experimental results show that the proposed feature set have very high recognition rates and outperform histogram based methods. © 2015 IEEE.Conference Object Design and Implementation of an Expressive Talking Mobile Robot: Toztorus(Institute of Electrical and Electronics Engineers Inc., 2018) Tozan,O.; Tora,H.; Uslu,B.; Una,B.; Ceylan,E.This paper is about a brand new robot and all its development stages from the design to the show time. As an undergraduate research project (the LAP program at Atilim University), the robot TozTorUs is the outcome of the dense efforts of a team. With the sensors equipped, it navigates autonomously in the environment in which it is located by avoiding the obstacles. It can understand your questions and answer them using Google's speech technologies. Although it is not a humanoid robot, with eyes and mouth simulator LED displays, it is as friendly as a human. We can also control TozTorUs using a mobile phone. Apart from these, it is able to adjust its height with respect to the visitor's, thus allowing it to make an eye contact with the person. Although TozTorUs is designed for welcoming, it may also be employed for consulting, security and elderly assistance. © 2018 IEEE.Conference Object Citation - Scopus: 10Biomechanical Design and Control of Lower Limb Exoskeleton for Sit-To and Stand-To Movements(Institute of Electrical and Electronics Engineers Inc., 2018) Qureshi,M.H.; Masood,Z.; Rehman,L.; Owais,M.; Khan,M.U.In this paper, we present design and development phase of lower limb robotic exoskeleton that can assist paralyzed individuals. Motion of the human wearing exoskeleton is introduced by actuators. Both exoskeleton legs are attached to the supporting frame by passive universal joints. The exoskeleton provides 3 DOFs per limb of which two joints are active and one passive. The control actions i.e., sit-to-stand and stand-to-sit movements are triggered using Double Pole Double Throw (DPDT) toggle switch. The control scheme is implement using Switch control method and the feedback is provided by means of current measurement. This assistive device can be utilized for the disabled persons. The simulation results are provided that evaluates the performance of the control actions on exoskeleton. © 2018 IEEE.Conference Object Simulation Based Surgical Education Programs and Hand Performance;(Institute of Electrical and Electronics Engineers Inc., 2017) Eyuboglu,B.G.; Topalli,D.; Cagiltay,N.E.; Tonbul,G.The performance of the left- and right-hands of a person may be different from each other. In general, people use one hand with a superior performance compared to the other hand where that hand is preferred for performing daily activities. It is critical to understand their preference for right or left hand use, especially in cases where the skills should be improved to use both hands precisely in activities required special abilities such as endoscopic surgical operations. A better understanding of these cases will improve the quality of existing surgical education programs, and make a major contribution specifically in designing, improving and managing of simulation-based instructional technologies. In this study, the right- and left-hand preferences (handedness) of people are analyzed from the literature and a simulation-based experimental study is conducted in order to examine the performance differences of the participants while using their right and left hands. The results of this study aimed to guide the curriculum designers and instructional system developers for better designing and developing simulation-based surgical education programs. © 2016 IEEE.Conference Object Citation - Scopus: 2Statistical Randomness Tests of Long Sequences by Dynamic Partitioning(Institute of Electrical and Electronics Engineers Inc., 2020) Akcengiz,Z.; Aslan,M.; Karabayir,O.; Doganaksoy,A.; Uguz,M.; Sulak,F.Random numbers have a wide usage in the area of cryptography. In practice, pseudo random number generators are used in place of true random number generators, as regeneration of them may be required. Therefore because of generation methods of pseudo random number sequences, statistical randomness tests have a vital importance. In this paper, a randomness test suite is specified for long binary sequences. In literature, there are many randomness tests and test suites. However, in most of them, to apply randomness test, long sequences are partitioned into a certain fixed length and the collection of short sequences obtained is evaluated instead. In this paper, instead of partitioning a long sequence into fixed length subsequences, a concept of dynamic partitioning is introduced in accordance with the random variable in consideration. Then statistical methods are applied. The suggested suite, containing four statistical tests: Collision Tests, Weight Test, Linear Complexity Test and Index Coincidence Test, all of them work with the idea of dynamic partitioning. Besides the adaptation of this approach to randomness tests, the index coincidence test is another contribution of this work. The distribution function and the application of all tests are given in the paper. © 2020 IEEE.Conference Object Citation - Scopus: 8An Empirical Comparison of Customer Behavior Modeling Approaches for Shopping List Prediction(Institute of Electrical and Electronics Engineers Inc., 2018) Peker,S.; Kocyigit,A.; Erhan Eren,P.Shopping list prediction is a crucial task for companies as it can enable to provide a specific customer a personalized list of products and improve customer satisfaction and loyalty as well. To predict customer behaviors, many studies in the literature have employed customer behavior modeling approaches which are individual-level and segment-based. However, previous efforts to predict customers' shopping lists have rarely employed these state-of-the-art approaches. In this manner, this paper introduces the segment based approach into the shopping list prediction and then presents an empirical comparison of the individual-level and the segment-based approaches in this problem. For this purpose, well-known machine learning classifiers and customers' purchase history are employed, and the comparison is performed on a real-life dataset by conducting a series of experiments. The results suggest that there is no clear winner in this comparison and the performances of customer behavior modeling approaches depend on the machine learning algorithm employed. The study can help researchers and practitioners to understand different aspects of using customer behavior modeling approaches in the shopping list prediction. © 2018 Croatian Society MIPRO.Conference Object Citation - Scopus: 1Applying the Histogram of Oriented Gradients To Recognize Arabic Letters(Institute of Electrical and Electronics Engineers Inc., 2021) Douma,A.; Sengul,G.; Ibrahim Salem,F.G.; Ali Ahmed,A.the aim of this paper is to recognize the Arabic handwriting letters by using histogram of oriented gradients (HOG). We collected 2240 letters by 8 people, each person wrote 28 alphabet letter 10 times. First of all we resize All 2240 hand writing letter of Arabic Alphabet as images(pre-processing) after that extract these images by using one of feature extraction methods which is histogram of oriented gradients (HOG).For classification, the K-Nearest Neighbor (KNN) is used. The results are shown by using 1120 images in the one case and 2240 images in the second case and evaluate these results with the confusion matrix. Other cases we used leave one out (LOO), 2-fold classification and leave one out cross validation. The best fully performance of HOG was with leave one out technique because of the ability of HOG algorithm to capture the shape of letter in the image according to its edges (gradients). © 2021 IEEE.
