Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://gcris.yasar.edu.tr/handle/123456789/11290

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Citation - WoS: 1
Citation - Scopus: 1
24-hour Electricity Consumption Forecasting for Day Ahead Market with Long Short Term Memory Deep Learning Model
(IEEE, 2020) Nalan Ozkurt; Hacer Sekerci Oztura; Cuneyt Guzelis; Guzelis, Cuneyt; Oztura, Hacer Sekerci; Ozkurt, Nalan
In 2015 with the foundation of Energy Market Management Inc. AS (EPIAS) the production and pricing of electrical energy began to be made according to consumption estimates. In this study twenty-four hours energy consumption forecasting was made by using long short-term memory method and data was downloded from EPIAS's official web page for the Day Ahead Market. The data set used covers 1500 days between June 2016 and July 2020. The results obtained have been compared with EPIAS's own estimates and actual consumption data.
Citation - WoS: 3
Citation - Scopus: 3
A Framework Model for Data Reliability in Wireless Sensor Networks
(IEEE, 2016) Ilker Kalayci; Tuncay Ercan; Ercan, Tuncay; Kalayci, Ilker
In this study a model for data reliability in wireless sensor networks is proposed in which machine learning methods are used. Proposed framework includes data modelling missing data prediction anomaly detection data fusion and trust mechanism phases. Thus temporal analysis is performed on the preprocessed sensor data and missing data are predicated. Then outliers on collected data are detected on the cluster head nodes by using Eta one-class Support Vector Machines. If an event is detected data are fused and then send to sink. If an anomaly is detected for a node's data the trust weight of the node is decreased.
Citation - WoS: 1
Citation - Scopus: 1
A Measurement Technique For Determination of Power Levels of Different Propagation Modes in Circular Waveguides
(IEEE, 2020) Ceyhan Turkmen; Esra Alkin; Mustafa Secmen; Secmen, Mustafa; Turkmen, Ceyhan; Alkin, Esra
This study describes a measurement technique for detecting the power levels of different propagation modes in a circular waveguide in the mod converter structure from a rectangular waveguide to a circular waveguide. Specially designed SMA-waveguide adapters are generally used to measure these power levels of propagating modes inside the circular waveguide. While these adaptors can measure power level of desired transmitted mode they are inadequate to obtain suppression levels of other propagation modes simultaneously. Without need of special adapters the technique proposed in this study can determine the amplitudes of different propagation modes in the waveguide at the same time by using 2-port S-parameter values belonging to two identical mode converters. This method has been verified by a rectangular TE10 - circular TM01 mod converter designed and manufactured at center frequency of about 11.4 GHz.
Citation - WoS: 1
Citation - Scopus: 1
A Multimedia Application for an Embedded System
(IEEE, 2016) Sadik Arslan; Mustafa Gunduzalp; Ercument Turk; Gunduzalp, Mustafa; Arslan, Sadik; Turk, Ercument
In this study system multimedia applications is realized for an embedded system. The designed system provides multimedia support such as audio playback video play saving to disk as hardware and software. In the design of the developed system Linux operating system is used. Required Linux operating system peripheral drivers has been developed. To realize peripheral module tests necessary test and user applications and user libraries are written. User applications that provides multimedia operations are designed for the Linux operating system.
Citation - WoS: 5
Citation - Scopus: 10
A new warehouse design problem and a proposed polynomial-time optimal order picking algorithm
(GAZI UNIV FAC ENGINEERING ARCHITECTURE, 2018) Omer Ozturkoglu; Deniz Hoser; Hoşer, Deniz; Öztürkoğlu, Ömer
In this study we propose a new design problem that relates to orientation of cross aisles in warehouses. In this problem the main orthogonal cross aisle which is very common to be seen in warehouses to facilitate travel between locations is planned to be designed as discrete manner such as tunnels along picking aisles. Hence the problem of locating these tunnels along picking aisles so as to increase efficiency of order picking operations which is one of the most costly and the most related operations with the order delivery time in warehouses is propounded. Additionally we develop a new dynamic programming based polynomial time algorithm to calculate optimal length of order picking tour in this new design problem. Hence this algorithm provides very quick solutions even for large pick list sizes. The computational performance of this algorithm is compared with Held-Karp branch and bound algorithm which is a well-known algorithm for travelling salesman problem. Last we solve an example problem and explain how the algorithm is implemented to generate optimal tour.
A review of substrate integrated waveguide (SIW) filter architecture and filter design technologies, Yüzey tümleşik dalga kılavuzu (YTD) filtre mimarisi incelemesi ve filtre tasarım teknolojileri
(Gazi Universitesi, 2024) Kemal Güvenli; Sibel Yeni̇Kaya; Mustafa Seçmen
In this review article transmission line technologies are compared in terms of loss dimension production cost ease of integration and design complexity. The basic design stages of the Substrate Integrated Waveguide (SIW) filter which stands out with its advantages among transmission lines are given. Current studies using different SIW filter technologies have been examined in the literature. The quality factors of the examined SIW filters were calculated and a comparison was made between the applied techniques. In addition the methods applied in the literature to eliminate the harmonic and high mode effects that adversely affect the SIW filter performance are examined and the results are evaluated. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 5
An Embedded System Vehicle Tracking System Application
(IEEE, 2016) Sadik Arslan; Mustafa Gunduzalp; Ercument Turk; Gunduzalp, Mustafa; Arslan, Sadik; Turk, Ercument
In this study an embedded system vehicle tracking applications have been realized. GSM modules and GPS modules which allows to track the vehicle operation are used in the system. Linux operating system is used in the design of the system. Device applications have been written using tools of Linux operating system. Developed applications take the geographical location information from the GPS module and transmits the information to a central server using the GSM module. In the study vehicle tracking power management GPS control and radio interface layer applications have been developed.
Analysis and Classification of Air Disc Brake Sounds in Time and Frequency Domain
(IEEE, 2018) Zeynep Ertekin; Nalan Ozkurt; Cem Yilmaz; Yilmaz, Cem; Ertekin, Zeynep; Ozkurt, Nalan
In this study analysis and classification of audio data collected from faulty air disc brakes has been carried out by Fourier Transform (FT). The sound data have been recorded by 2 identical Norsonic Type 1228 microphones in the laboratory of Ege Fren A.S. on a vehicle. The recorded data set which has been transferred into computer by a data acquisition board has been analyzed in Matlab. Number of zero crossings, mean variance entropy and spectral rolloff of Fourier coefficients have been used as features in order to distinguish normal and faulty brakes. These features have been classified with 10x10 crossvalidation by using kth nearest neighbour algorithm with a success rate of 96.23 %
Automated Clustering of Large Data Sets Based on a Topology Representing Graph
(IEEE, 2009) Kadim Tasdemir; Taşdemir, Kadim
A powerful method in analysis of large data sets where there are many natural clusters with varying statistics such as different sizes shapes density distribution is the use of self-organizing maps (SOMs) [1]. However further processing tools such as visualization interactive clustering are often necessary to capture the clusters from the learned SOM knowledge. A recent visualization scheme CONNvis [2] and interactive clustering from CONNvis utilizes the data topology for SOM knowledge representation by using a weighted Delaunay graph CONN. In this paper an automated clustering scheme for SOMs. SOMcluster which is a two-level clustering of CONN by the skills obtained in the interactive process is proposed. It is shown that SOMcluster which does not require the number of clusters a priori is used successfully for automated segmentation of a remote sensing spectral image which has many clusters some of which were unidentified in previous works.
Citation - WoS: 4
Citation - Scopus: 10
Bi-Objective green vehicle routing problem minimizing carbon emissions and maximizing service level
(GAZI UNIV FAC ENGINEERING ARCHITECTURE, 2023) Ozgur Kabadurmus; Mehmet Serdar Erdogan; Erdoğan, Mehmet Serdar; Kabadurmus, Ozgur
In this study a bi-objective Green Vehicle Routing Problem is presented as an extension of the well-known Vehicle Routing Problem. Green Vehicle Routing Problem aims to improve routing decisions of companies using Alternative Fuel Vehicles to reduce carbon emissions. The presented problem herein has two objectives that are the minimization of total carbon emissions and the maximization of service level. While total carbon emission is assumed to be proportional to total distance cargo delivery time window violations of customers are considered as an indicator of service level. The problem was modeled as Mixed-Integer Linear Programming and epsilon-constraint method which is a multi-objective optimization method is developed to solve it. To effectively solve large problem instances a clustering-based heuristic method is proposed. The heuristic method achieved a good performance by finding near Pareto-optimal solutions that are found by the MILP model. Our proposed mathematical model and heuristic method are tested on seven realistically designed hypothetical case studies. According to the results the minimization of carbon emission and maximization of service level are two conflicting objectives. As the service level increases the number of vehicles and carbon emissions also increase. As carbon emission increases and time windows violation decreases more vehicles and alternative fuel stations are used.
Bi-Objective green vehicle routing problem minimizing carbon emissions and maximizing service level, Karbon salınımını azaltan ve hizmet kalitesini arttıran iki amaçlı yeşil araç rotalama problemi
(Gazi Universitesi, 2023) Ozgur Kabadurmus; Mehmet Serdar Erdoğan
In this study a bi-objective Green Vehicle Routing Problem is presented as an extension of the well-known Vehicle Routing Problem. Green Vehicle Routing Problem aims to improve routing decisions of companies using Alternative Fuel Vehicles to reduce carbon emissions. The presented problem herein has two objectives that are the minimization of total carbon emissions and the maximization of service level. While total carbon emission is assumed to be proportional to total distance cargo delivery time window violations of customers are considered as an indicator of service level. The problem was modeled as Mixed-Integer Linear Programming and ε-constraint method which is a multi-objective optimization method is developed to solve it. To effectively solve large problem instances a clustering-based heuristic method is proposed. The heuristic method achieved a good performance by finding near Pareto-optimal solutions that are found by the MILP model. Our proposed mathematical model and heuristic method are tested on seven realistically designed hypothetical case studies. According to the results the minimization of carbon emission and maximization of service level are two conflicting objectives. As the service level increases the number of vehicles and carbon emissions also increase. As carbon emission increases and time windows violation decreases more vehicles and alternative fuel stations are used. © 2022 Elsevier B.V. All rights reserved.
Citation - Scopus: 1
Comparison of Timing Strategies for Face Pose Alignment with Event Camera, Olay Kamerasiile Y zPozu Hizalama i in Zamanlama Stratejilerin Karilatirilmasi
(Institute of Electrical and Electronics Engineers Inc., 2023) Arman Savran; Savran, Arman
Event camera which has recently started to increase in use can surpass the traditional camera in certain areas with their efficiency l e vel o f d e tail i n t h e t i me d i mension and high dynamic range. In order to be able to process vision data practically with the event camera first o f a l l t i me intervals must be determined to transform the pixel-event data into a structure suitable for processing. For this purpose two basic timing strategies are applied in the literature: constant time frame and constant event count frame. This study addresses the comparison of these two approaches in order to determine the appropriate time intervals in the event camera face pose alignment problem. Experimental results showed that the constant event count strategy was superior in terms of face pose alignment performance and efficiency. I t w as a l so s een t hat t he t ime frame midpoint achieved a lower error rate than the median and mean timing. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 1
Citation - Scopus: 6
Control of make-to-stock production systems with setup costs
(GAZI UNIV FAC ENGINEERING ARCHITECTURE, 2020) Sinem Ozkan; Onder Bulut; Özkan, Sinem; Bulut, Önder
This study considers the joint control of production and inventory in a Markovian make-to-stock environment with parallel production lines production start-up costs several customer classes and lost sales. At the production completion and demand arrival epochs there are two types of decisions. The first is the determination of the number of lines that should be active (producing) and the second one is whether to satisfy an arriving demand. Especially at the states where inventory position is low it would be more economical to reject the arriving demands of lower priority classes and reserve on-hand stock for future demands of more valuable classes. This study contributes to the control literature of make-to-stock systems with the simultaneous consideration of fixed production costs multiple lines and several customer classes. The dynamic programming formulation of the system which we model as a Markov Decision Process is developed by defining a two-dimensional system state vector. The model is solved with the value iteration algorithm. It is shown with the numerical examples that the optimal production and stock rationing policies have dynamic structures. Due to the dynamic nature of the optimal policies we also propose easy-to-apply and well-performing alternative policies. The proposed production policy is an extended version of the twocritical-number policy which is frequently considered in the literature. The proposed rationing policy is a dynamic one that considers the value of outstanding production orders in addition to inventory level.
Control of make-to-stock production systems with setup costs, Hazırlık maliyetli stoğa-üretim sistemlerinin kontrolü
(Gazi Universitesi Muhendislik-Mimarlik mmfd@gazi.edu.tr, 2020) Sinem Özkan; Önder Bulut
This study considers the joint control of production and inventory in a Markovian make-to-stock environment with parallel production lines production start-up costs several customer classes and lost sales. At the production completion and demand arrival epochs there are two types of decisions. The first is the determination of the number of lines that should be active (producing) and the second one is whether to satisfy an arriving demand. Especially at the states where inventory position is low it would be more economical to reject the arriving demands of lower priority classes and reserve on-hand stock for future demands of more valuable classes. This study contributes to the control literature of make-to-stock systems with the simultaneous consideration of fixed production costs multiple lines and several customer classes. The dynamic programming formulation of the system which we model as a Markov Decision Process is developed by defining a two-dimensional system state vector. The model is solved with the value iteration algorithm. It is shown with the numerical examples that the optimal production and stock rationing policies have dynamic structures. Due to the dynamic nature of the optimal policies we also propose easy-to-apply and well-performing alternative policies. The proposed production policy is an extended version of the two-critical-number policy which is frequently considered in the literature. The proposed rationing policy is a dynamic one that considers the value of outstanding production orders in addition to inventory level. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 14
Citation - Scopus: 15
Converting International Migrations into Issue of Security: Radical Right Parties in Europe and Securitization of Migration
(ULUSLARARASI ILISKILER KONSEYI DERNEGI, 2013) Nazif Mandaci; Gokay Ozerim; Mandaci, Nazif; Ozerim, Gokay
This study reveals that anti-immigrant policies in Europe result from a process of securitization and that within this process radical right parties have been formulating discourses and approaches through a construction process by using some common security themes. These security themes can be classified as national security economic security cultural security and internal security The frequency with which radical right parties use these themes may vary according to the specific historical social and cultural characteristics of a particular country. The impact of these differences is studied in by a methodology based on securitization theory and critical discourse analysis and by analysing two radical right parties that achieved election success with their anti-immigrant policies: Freedom Party of Austria (FPO) from Austria and Sweden Democrat (SD) from Sweden.
Design and Implementation of a Customized Micro Server Platform for Indoor Monitoring and Control
(IEEE, 2019) Zirve Baran Totuk; Tuncay Ercan; Ercan, Tuncay; Totuk, Zirve Baran
The concept of the Internet of Industrial Things (IIoT) which emerged when the Internet of Things (IoT) applications started to be used in the industry has provided the efficiency flexibility traceability and security to the end users in their workspaces. Indoor monitoring and control systems which are the leading applications of the Internet of industrial things play a major role in providing these elements. Over the years these systems have evolved from wired alarm systems to data loggers wireless sensor networks and then to with cloud computing based smart gateways. In the face of this evolution of systems the expectations of end users such as being able to control at tens of thousands of points high quality of service or achieving commercial targets have increased at the same rate.In order to meet all these expectations a modular and compact platform based on Fog Computing and single board computer which provides optimum performance and cost has been designed and developed in this study. When the results obtained from the test processes implemented under real scenarios are examined it is seen that the hardware used and the software infrastructure all open source are sufficient and usable for indoor monitoring and control applications.
Citation - WoS: 3
Citation - Scopus: 5
Development of a Multi-Sensor Fire Detector Based On Machine Learning Models
(IEEE, 2019) Mert Nakip; Cuneyt Guzelis; Guzelis, Cuneyt; Nakip, Mert
This paper proposes a method to reduce false positive fire alarms by fusing data from different sensors using a specific machine learning model. We design an electronic circuit with 6 sensors to detect 7 physical sensory inputs. We experimentally collect dataset for training and testing of machine learning models which are used for the implementation of fusing and classifying sensor data. An algorithm which employs the trained machine learning model for the classification of sensor data and then the thresholding is designed. Machine learning models are selected based on the results of comparisons among multi-layer perceptron support vector machine and radial basis function network. We use classification accuracy percentage false negative error and false positive error as measures for comparison. Multi-layer perceptron is observed as the best model according to its 96.875% classification accuracy.
Development of semantic web application architecture for natural language based querying
(CEUR-WS ceurws@sunsite.informatik.rwth-aachen.de, 2018) Ceren Ocal Tasar; Murat Komesli; Murat Osman Unalir; Tasar, Ceren Ocal; Komesli, Murat; Unalir, Murat Osman; B. Tekinerdogan , A.H. Dogru
With the developing technology and increased demand on practical usage of knowledge users require to interact with systems by using natural language. Researchers discover the necessity of natural language queries should be converted to machine understandable format to meet the requirement of users. The necessity of the conversion triggered the researches on studies on question answering systems that is one of the systems mostly interact with natural language queries. For question answering systems that utilizes structural knowledge sources understanding user intention accurately consists of the processes of natural language processing representing the user intention and forming structured query to generate the answer. A technique and an architecture to convert natural language query to ontology query language by utilizing from both linguistic and semantic technologies are proposed in this study. Automatic conversion of an unstructured natural language query to a structured ontology query language SPARQL and process of producing answer over linked data are explained in the proposed technique and architecture. A different approach other than the related studies is followed in terms of defining a “Query Semantization” layer in the proposed architecture and developing a natural language aware ontology for the technique proposed. Contribution to the literature is expected by combining natural language processing technique and semantic web technologies with a different approach. © 2019 Elsevier B.V. All rights reserved.
Digital environment and interaction in design education, Tasarım eğitiminde dijital ortam ve etkileşim
(Nilay OZSAVAS ULUCAY, 2023) Özge Demirbaş; Meltem Eranil
Traditional education techniques are shifting and changing today because of national and international advances as well as digitization. With the Covid-19 evolution institutional application-based design education has also had to transition to the online environment. In this study while the effects and results of the online environment in design education were investigated the interaction between the interfaces of learning management systems (LMS) which are digital platforms and the student was examined. Under the interface-student interaction student-instructor student-student and student-content were investigated. The study aims to examine student interaction through the “Sakai” and “Blackboard” interfaces used in online education in two universities providing design education in Izmir. Among the user research methods focus group interviews and online surveys on behavioral attitudinal and qualitative axes were completed and qualitative content analysis of the data obtained was conducted. In this study the reasons why the platforms and interfaces used are not preferred in terms of interaction the role and importance of other communication tools used by the students were investigated. Students stated that their interaction through the LMS was low and it was observed that the level of interaction was less than in the physical environment. However when interaction with other tools and platforms used in online education is taken into consideration the level of interaction has increased to a higher level. This study which was conducted by taking the current thoughts and comments of the students is aimed to contribute to the development of future user-oriented digital designs and the existing online conditions in design education. © 2024 Elsevier B.V. All rights reserved.
Earthquake Safety Analysis of an Existing Public Building, Mevcut Bir Kamu Binasının Deprem Güvenliğinin İncelenmesi
(Afet ve Acil Durum Yonetimi Baskanligi (AFAD), 2022) Hande Odaman Kaya; Ebru Alakavuk
The importance of earthquake safety in buildings can be understood clearly with the fact that earthquakes don’t cause loss of life but buildings. This study investigates earthquake safety of Aegean Customs Provincial Directorate Building located in Izmir Province. After performance analysis strengthening proposal developed for the existing building and possibility of demolishing and constructing a new building were examined. The implementation cost for both cases was calculated as, strengthening cost of Aegean Customs Building is 60% of reconstruction cost. So data is developed to make a decision for protecting the building or to demolish and rebuild it. © 2023 Elsevier B.V. All rights reserved.

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