Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/3

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Now showing 1 - 20 of 985

Citation - Scopus: 318
1-D Convolutional Neural Networks for Signal Processing Applications
(Institute of Electrical and Electronics Engineers Inc., 2019) Kiranyaz, Serkan; İnce, Türker; Abdeljaber, O.; Avci, O.; Gabbouj, M.
1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly detection in power electronics circuitry and motor-fault detection. This is an expected outcome as there are numerous advantages of using an adaptive and compact 1D CNN instead of a conventional (2D) deep counterparts. First of all, compact 1D CNNs can be efficiently trained with a limited dataset of 1D signals while the 2D deep CNNs, besides requiring 1D to 2D data transformation, usually need datasets with massive size, e.g., in the »Big Data» scale in order to prevent the well-known »overfitting» problem. 1D CNNs can directly be applied to the raw signal (e.g., current, voltage, vibration, etc.) without requiring any pre- or post-processing such as feature extraction, selection, dimension reduction, denoising, etc. Furthermore, due to the simple and compact configuration of such adaptive 1D CNNs that perform only linear 1D convolutions (scalar multiplications and additions), a real-time and low-cost hardware implementation is feasible. This paper reviews the major signal processing applications of compact 1D CNNs with a brief theoretical background. We will present their state-of-the-art performances and conclude with focusing on some major properties. Keywords - 1-D CNNs, Biomedical Signal Processing, SHM. © 2019 IEEE.
A 2-Hop Coloring-Based Collision Free Infrastructure Design for Wireless Sensor Networks
(Institute of Electrical and Electronics Engineers Inc., 2016) Korkmaz I.; Dagdeviren O.; Dalkilic M.E.
This paper mainly proposes a design for a communication infrastructure for Wireless Sensor Networks. The proposed design prevents message collisions by arranging the time schedules to send, receive, forward and overhear packets of the nodes considering 2-hop graph coloring mechanism. The system aims to exclude the compromised nodes in the network using the overhearing mechanism, and copes with recovering the paths of the legitimate nodes using multipath redundancy. The proposed scheduling-based and overhearing supported infrastructure brings the advantage of providing the Sensor Networks with both reliable communication using backup paths and energy conservation by preventing the collisions. © 2016 IEEE.
3D dendritic spine segmentation using nonparametric shape priors
(Institute of Electrical and Electronics Engineers Inc., 2017) Bocugoz E.; Erdil E.; Argunsah A.O.; Unay D.; Cetin M.
Analyzing morphological and structural changes of dendritic spines in 2-photon microscopy images in time is important for neuroscience researchers. Correct segmentation of dendritic spines is an important step of developing robust and reliable automatic tools for such analysis. In this paper, we propose an approach for segmentation of 3D dendritic spines using nonparametric shape priors. The proposed method learns the prior distribution of shapes through Parzen density estimation on the training set of shapes. Then, the posterior distribution of shapes is obtained by combining the learned prior distribution with a data term in a Bayesian framework. Finally, the segmentation result that maximizes the posterior is found using active contours. Experimental results demonstrate that using nonparametric shape priors leads to better 3D dendritic spine segmentation results. © 2017 IEEE.
Citation - Scopus: 3
3d Printing With Bacterial Cellulose-Based Bioactive Composites for Design Applications
(Education and research in Computer Aided Architectural Design in Europe, 2022) Turhan G.D.; Afsar S.; Ozel B.; Doyuran A.; Varinlioglu G.; Bengisu, Murat
The bacterial cellulose (BC) biofilms are explored in design applications as replacements to petroleum-based materials in order to overcome the irreversible effects of the Anthropocene. Unlike biomaterials, designers as mediators could collaborate with bioactive polymers as a form of wetware to manufacture living design products with the aid of novel developments in biology and engineering. Past and ongoing experiments in the literature show that BC has a strong nanofibril structure that provides adhesion for attachment to plant cellulose-based networks and it could grow on the surfaces of the desired geometry thanks to its inherited, yet, controllable bio-intelligence. This research explores BC-based bioactive composites as wetware within the context of digital fabrication in which the methodology involves distinct, yet integrated, three main stages: Digital design and G-code generation (software stage); BC cultivation and printable bioactive composite formulation (wetware stage); digital fabrication with a customized 3D printer (hardware stage). The results have shown that the interaction of BC and plant-based cellulose fibers ofjute yarns has enhanced the structural load-bearing capacity of the form against compressive forces, while pure BC is known only by its tensile strength. Since the outcomes were fabricated with the use of a bioactive material, the degradation process also adds a fourth dimension: Time, by which the research findings could further establish a bio-upcycling process of wastes towards biosynthesis of valuable products. Moreover, developing a BC-based bioactive filament indicates potentially a feasible next step in the evolution of multiscale perspectives on the growth of habitable living structures that could reinforce the interaction between nature and architecture through collaboration with software, hardware, and wetware in innovative and sustainable ways. © 2022, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.
An Abbreviated History of Liver Transplantation
(Wolters Kluwer Medknow Publications, 2024) Schilsky, M.L.; Emre, S.H.
[No abstract available]
Citation - WoS: 9
Citation - Scopus: 17
Abnormal Ecg Beat Detection Based on Convolutional Neural Networks
(Institute of Electrical and Electronics Engineers Inc., 2020) Ozdemir M.A.; Guren O.; Cura O.K.; Akan A.; Onan A.
The heart is the most critical organ for the sustainability of life. Arrhythmia is any irregularity of heart rate that causes an abnormality in your heart rhythm. Clinical analysis of Electrocardiogram (ECG) signals is not enough to quickly identify abnormalities in the heart rhythm. This paper proposes a deep learning method for the accurate detection of abnormal and normal heartbeats based on 2-D Convolutional Neural Network (CNN) architecture. Two channels of ECG signals were obtained from the MIT-BIH arrhythmia dataset. Each ECG signal is segmented into heartbeats, and each heartbeat is transformed into a 2-D grayscale heartbeat image as an input for CNN structure. Due to the success of image recognition, CNN architecture is utilized for binary classification of the 2-D image matrix. In this study, the effect of different CNN architectures is compared based on the classification rate. The accuracies of training and test data are found as 100.00% and 99.10%, respectively for the best CNN model. Experimental results demonstrate that CNN with ECG image representation yields the highest success rate for the binary classification of ECG beats compared to the traditional machine learning methods, and one-dimensional deep learning classifiers. © 2020 IEEE.
Citation - WoS: 1
Citation - Scopus: 1
Abstinence-Related Motivational Engagement Scale: Validity and Reliability in Turkish People
(Bilimsel Tip Publishing House, 2018) Yavan, Tulay; Gulesen, Asli; Bebis, Hatice
OBJECTIVES: This research aimed to conduct a validity and reliability study of the Turkish version of the abstinence-related motivational engagement (ARME) scale. MATERIALS AND METHODS: This study included 122 people and was administered in a smoking cessation clinic. The sociodemographic-smoking status characteristics questionnaire and the ARME scale were used for data collection. A psycholinguistic language adaptation was performed. In the validity, analyses, content, construct, and criterion-related validities were used. For content validity, expert evaluation was performed. For construct validity, principal component analyses (exploratory factor analyses) were performed. Orthogonal (Varimax) rotation was used to explore multiple factors. The Kaiser-Meyer-Olkin test was used to assess the adequacy of the sample size. For criterion-related validity, we compared the ARME scale points of people who were abstinent and had relapse for smoking at the end of the sixth month. In the reliability analysis, standard deviation (SD) and item analysis, internal consistency, and test-retest methods were used. RESULTS: The four factors explain 58% of the total variance. Items have factor loading between 0.409 and 0.805. When the factor structure of the scale was assessed, the items in each factor group have a factor load of at least 0.40. Due to one-dimensional use of the original scale, it has been decided to maintain this scale in its original form. The ARME scale points of people who quit smoking were statistically higher than the points of people who had relapse at the end of the sixth month. Cronbach's alpha coefficients were between 0.846 and 0.763. Significant and positive correlation was found between the test-retest scale scores. CONCLUSION: The Turkish adaptation of the ARME scale, which was developed for adults who quitted smoking, is an adequately valid and reliable measurement instrument. It is considered that the scale might be used reliably in different cultures as well.
Citation - Scopus: 1
Academic Performance Management Policy for Changing Roles of Universities in Innovation Systems
(Institute of Electrical and Electronics Engineers Inc., 2017) Ozcan S.; Ozyazici M.S.; Ozerdem M.B.
The purpose of this study is to establish a new performance measurement method for academic actors for their changing roles in innovation systems. The widely accepted triple helix and systems of innovation models show changing and overlapping roles of academic, industrial and governmental actors. In previous innovation systems, universities were not focused on applied research and technology transfer as much as they are now. Current literature shows a changing role of universities and importance of their involvement in innovation systems. Although academic organizations' roles have changed in innovation systems, academic performance measurement systems (APMS) are not adapted to examine innovation related performance factors. Many APMS focus on key performance indicators (KPIs) such as; publications, research projects and patents. However, the new APMS needs to assess the activities and processes that are related to innovation, such as; technology transfer processes, collaborative innovation activities, consultancies and academic spin-offs. For this study a new APMS is applied according to the needs of universities by using a synthetic data based on an engineering department's KPIs. APMS scores are calculated based on the cumulative metric of all research and innovation activities and, weighted according to the needs and considerations of the university. The results of this study show that many of those academicians who have great performance in publications and academic research do not necessarily have high-level performance in innovative activities. In fact the results show that those who had high points in some measurements have very low performance in others. For the management point of view, it may be more effective to position academicians for different roles and assess their performance accordingly as innovation-targeted, teaching-targeted and research-targeted academicians. © 2016 Portland International Conference on Management of Engineering and Technology, Inc.
Accounting for digital products
(IGI Global, 2010) Karaibrahimo?lu Y.Z.
Digital products are "content" goods such as software, books, music, or movies which can be digitized and traded on a digital market place. With the increase in trade and ownership of digital products, several important management issues have arisen. Accounting treatment for digital products is one important management issue. It is argued that digital products require regulations in terms of recognition, measurement, valuation, reporting and taxation. Therefore, the purpose of this chapter is to discuss the accounting problems that arise as a result of the growing importance of digital products in the business environment and to propose suggestions based on the accounting concepts and standards. For this purpose, first, the increasing importance of digital products is briefly explained. Then, the challenge created as a result of expanding trading volume of digital products are discussed in terms of accounting with suggestions for the appropriate accounting for digital products. © 2011, IGI Global.
Accurate Dictionary Matching for Mr Fingerprinting Using Neural Networks and Feature Extraction
(Institute of Electrical and Electronics Engineers Inc., 2020) Soyak R.; Ersoy E.O.; Navruz E.; Fakultesi M.; Unay D.; Oksuz I.
Magnetic Resonance Fingerprinting is a recent technique which aims at providing simultaneous measurements of multiple parameters. MRF works by varying acquisition parameters in a pseudorandom manner so as to get unique, uncorrelated signal evolutions from each tissue. MRF is a dictionary based approach, and thus requires a database. This database can be created by simulating the signal evolutions from first principles using different physical models for a wide variety of tissue parameter combinations. Having this dictionary, a pattern recognition algorithm is used to match the acquired signal evolutions from each voxel with each signal evolution in the dictionary. In this paper, we compare the efficiency of deep learning based feature extraction method and neural network architectures in order to achieve state-of-the-art accuracy in dictionary matching for MRF. Our results showcase successful dictionary matching with high accuracy both quantitatively and qualitatively. © 2020 IEEE.
Achieving Sustainable Learning Through Erp Based Supply Chain in Vitro Laboratory
(Elsevier Science Bv, 2011) Gocer, Aysu; Saatcioglu, Omur Yasar; Demir, Muhittin H.; Tuna, Okan; Baltacioglu, Tuncdan; Adali, Erman
In order to enable sustainable learning, practical motivation behind every theory in consideration needs to be experienced extensively. The purpose of this study is to enhance sustainable learning on logistics and supply chain management through an in vitro laboratory environment in which real life supply chain structure is simulated over actual physical flows, and also through enterprise resource planning (ERP) systems, and then to measure the level of sustainability achieved. Research is conducted by including a group of students to a hands-on implementation through both physical and computerized applications in this representative business environment. To support the findings, surveys and focus groups are conducted. (C) 2011 Published by Elsevier Ltd.
Citation - Scopus: 2
Activating Co-Creation Methodologies of 3d Printing With Biocomposites Developed From Local Organic Wastes
(Education and research in Computer Aided Architectural Design in Europe, 2022) Afsar S.; Estevez A.T.; Abdallah Y.K.; Turhan G.D.; Oze B.; Doyuran A.
Compared to the take-make-waste-oriented linear economy model, the circular model has been studied since the 1980s. Due to consumption-oriented lifestyles along with having a tendency of considering waste materials as trash, studies on sustainable materials management (SMM) have remained at a theoretical level or created temporary and limited impacts. To ensure SMM supports The European Green Deal, there is a necessity of developing top-down and bottom-up strategies simultaneously, which can be metaphorized as digging a tunnel from two different directions to meet in the middle of a mountain. In parallel with the New European Bauhaus concept, this research aims to create a case study for boosting bottom-up and data-driven methodologies to produce short-loop products made of bio-based biocomposite materials from local food & organic wastes. The Architecture departments of two universities from different countries collaborated to practice these design democratization methodologies using data transfer paths. The 3D printable models, firmware code, and detailed explanation of working with a customized 3D printer paste extruder were shared using online tools. Accordingly, the bio-based biocomposite recipe from eggshell, xanthan gum, and citric acid, which can be provided from local shops, food & organic wastes, was investigated concurrently to enhance its printability feature for generating interior design elements such as a vase or vertical gardening unit. While sharing each step from open-source platforms with adding snapshots and videos allows further development between two universities, it also makes room for other researchers/makers/designers to replicate the process/product. By combining modern manufacturing and traditional crafting methods with materials produced with DIY techniques from local resources, and using global data transfer platforms to transfer data instead of products themselves, this research seeks to unlock the value of co-creative design practices for SMM. © 2022, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.
Adaptive business device integration architecture: Event manager
(2010) Ünlütürk, Mehmet Süleyman; Kurtel, Kaan
Today's heterogeneous business environments are complex and highly collaborative in which several different types of business events shape. Many devices that coexist in the same business environment generate these events, and this situation requires better integration and real-time communication solutions. We propose a fully integrated communications network solution called Integrated Event Management System (IEMS) that provides a range of mechanisms to meet the individual requirements of the business environments. IEMS is a software product designed to improve the quality and management of any heterogeneous business environment such as Hospital Nurse Call System (HNCS). The functionality of this network is invaluable to offer communication solutions to everyone in the system. Some of those do not have fixed locations such as mobile personnel that are dependent on being alerted immediately anywhere. Furthermore, IEMS also provides protection for others that work in interview rooms. An alarm event can be sent to a team over Local Area Network (LAN), alerting them of an incident and the location in order to provide a rapid response.
Citation - WoS: 1
Citation - Scopus: 2
Adaptive Evolution of Finite State Machines for the Tartarus Problem
(Institute of Electrical and Electronics Engineers Inc., 2019) Oguz K.
Genetic algorithms can be used to evolve finite state machines for problems that require a large number of states and transitions. Tartarus problem is such a problem in which the purpose is to push the boxes towards the walls of a six by six grid using a bulldozer that can only sense its 8-neighbourhood. The bulldozer can rotate left, right, or move forward, each taking a single move out of its initial 80 moves. The result is scored by the number of boxes that are against a wall when the bulldozer is out of moves. Several approaches have been proposed, with genetic algorithms being the most common. We are proposing a representation of the problem using varying number of states and adaptive modification of the mutation parameter to decrease the probability of the population getting stuck at a local minima. Our results show improvement over the application of the genetic algorithm without parameter modification and dependency on the number states and the size of the population. © 2019 IEEE.
Citation - Scopus: 5
An Adaptive Tabu Search Approach for Buffer Allocation Problem in Unreliable Production Lines
(Vilnius Gediminas Technical University, 2010) Demir L.; Tunali S.; Eliiyi Türsel, Deniz
The buffer allocation problem, i.e. how much buffer storage to allow and where to place it within the line, is an important research issue in designing production lines. In this study, buffer allocation problem is solved for unreliable non-homogeneous production lines. The objective is to maximize the throughput of the line under buffer capacity constraints. To evaluate the throughput of the line the decomposition method is employed. An adaptive tabu search approach is proposed to optimize the buffer sizes for each location. The performance of the proposed approach is evaluated by the computational tests. © Izmir University of Economics, Turkey, 2010.
Addressing Diversity in Language Teacher Education: Perspectives on Practicum
(IGI Global, 2023) Taner, G.; Ataş, U.
This chapter defines diversity with its relation to initial teacher education and discusses its significance for the pre-service teachers’ practicum experience, which, in addition to the theoretical courses that might (and usually might not) address diversity, enables them to conceptualize the term. It also refers to teacher education systems in some European countries to present the ways in which diversity could be addressed in teacher education. The second half of the chapter presents a case study carried out in Turkey to illustrate how diversity is perceived from the views of teacher educators and pre-service teachers in the context of pre-service language teaching practicum. Though the case study is context-specific, the context bears similarities with many other teacher education environments offering suggestions, implications, and conclusions for initial language teacher education, policy development, and research. © 2023 by IGI Global. All rights reserved.
Addressing the Challenge of Student Retention in an Intensive English Program Through Micro-Credentials
(Springer Science+Business Media, 2025) Staub, D.; Aysal, ÖC.
Ironically, while student attrition is prevalent in virtually every higher education institution, the same cannot be said for student retention awareness, acknowledgment, and action plans. In an English as the Medium of Instruction (EMI) context, particularly in first-year intensive English language programs (IEPs), student attrition is acute and high-stakes. Students who cannot succeed in the IEP may never make it to their academic program of study. A primary indicator or precursor to departure is absenteeism, but this is often a proxy for some skill deficiency, which leads to dis-engagement and circles back to high absenteeism. This pattern can quickly devolve into a downward spiral. This chapter explores various causes of attrition in the EMI context and possible solutions to the problem through a case study at an EMI university in Türkiye. A Retention Specialist, an Academic Support initiative, and a Mentoring program have all positively contributed to the retention effort. A micro-credentialing program designed to build non-cognitive skills to help students succeed has shown particular promise and is examined in greater depth. The essential point is that retention requires a collective, multi-lateral approach. Institutions ready to enact retention initiatives are ready to positively impact many of their students. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Admission-discharge-transfer gateway interface: A health level 7 application
(2010) Ünlütürk, Mehmet Süleyman; Atay C.
This paper presents a software application called Admission-Discharge- Transfer (ADT) Gateway Interface. This interface uses the Health Level 7 (HL7) standard to bridge the hospital computer systems for maintaining hospital bed occupancy.1 ADT Gateway Interface is a Microsoft VB.NET application that utilizes the Microsoft Windows TCP/IP socket to communicate with the Hospital Information System (HIS) ADT System. Received messages are processed using a custom Microsoft Windows DLL called HL7Messaging DLL and information presented inside these messages are put into a Microsoft SQL Server 2005 database. Hospital computer systems reach to this SQL Server 2005 database to examine the bed occupancy in the hospital. Furthermore, states and errors of this ADT Gateway Interface are recorded. This helps design engineers in measuring performance and observing failures and recoveries. This may require detail log information from this application. In this study, a robust logging viewer design methodology is used to improve reliability and consistency of the overall integrated system.
Citation - Scopus: 1
Adsorption and Removal of Contaminants Using Molecularly Imprinted Polymers
(Springer Nature, 2024) Feyzioğlu Demir, Esra; Atay, N.Ö.
Environmental pollution is an increasing problem, and is an important issue for environmental sustainability. For a sustainable environment, it is necessary to use the natural content of soil, water and air without disturbing it. The removal of pollutants in soil, water and air are necessary in this respect. Many methods are used to remove pollutants from the environment. One of these is adsorption with molecularly imprinted polymers (MIPs). MIPs can recognize the targeted molecules by size, shape, and functional groups, and have selective binding properties with covalent or non-covalent bonds. Thus, pollution can be removed by specific MIPs. They represent a cost effective, easy-to-apply, reusable and environmentally-friendly method of removing pollution. Pollution can be rapidly removed from the water or soil without the creation of by-products. MIPs can be prepared in different forms, such as micro- or nano-sized spherical particles and membranes, depending on the intended use. In this chapter, the important role of MIPs in environmental applications will be emphasized, particularly in the removal of the various organic and inorganic highly-polluting wastes, such as metal ions, dyes, drugs, and pesticides. The current studies on these issues will be reviewed and discussed. © Springer Nature Switzerland 2024.
Citation - WoS: 1
Citation - Scopus: 1
Advances in the Formulation of Minimal Thermodynamically Consistent Models for Dispersion Force-Driven High-Accuracy Inertial Nano-Sensors
(IEEE, 2025) Pinto, Fabrizio
We present advances in the accurate multiphysics modeling of nano-accelerometers motivated by the specific navigational requirements of small spacecraft under low thrust in interplanetary missions. The process of energy transfer to the nanodevice via parametric coupling is analyzed from the thermodynamical standpoint. The system is based on simultaneous electrostatic excitation and on van der Waals forces modulated by laser radiation acting as a parametric pump. It is shown that the processes involved rigorously satisfy the First and Second Laws of Thermodynamics. This proof paves the way for the design of thermodynamically consistent models of this novel class of nano-accelerometers.

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