Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed
Permanent URI for this communityhttps://gcris.yasar.edu.tr/handle/123456789/11287
Browse
Browsing Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed by Access Right "info:eu-repo/semantics/closedAccess"
Now showing 1 - 20 of 2193
- Results Per Page
- Sort Options
Conference Object Citation - WoS: 1Citation - Scopus: 124-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, NalanIn 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.Editorial 2nd workshop on information technologies for logistics(2013) Beata Gontar; Marek Wierzbicki; Zbigniew Banaszek; Anna E. Bobkowska; Jaonna Bruzda; Dilay Çelebi; René B.M. de Koster; C. Vanesa Durán Grados; Zbigniew Gontar; Chaodong Han; Gontar, Beata; Wierzbicki, Marek; Bruzda, Jaonna; Celebi, Dilay; Banaszek, Zbigniew; Zielinski, Jerzy; Bobkowska, Anna[No abstract available]Conference Object Citation - WoS: 1Citation - Scopus: 1A 2-dimensional model of polynomial type for oscillatory ATM-Wipl dynamics in p53 network(Institute of Electrical and Electronics Engineers Inc., 2017) Gökhan Demirkıran; Güleser Kalayci Demir; Cüneyt Güzeliş; Guzelis, Cuneyt; Demirkiran, Gokhan; Demir, Guleser KalaycUnder gamma irradiation p53 gene regulatory network is able to exhibit three different modes namely low state oscillations and high state. There are experimental studies demonstrating that oscillatory behaviour of p53 is due to the interaction between upstream mediator of p53 i.e. ATM and a negative feedback loop formed by Wipl with that upstream. By proposing a canonical model based on ordinary differential equations made up of polynomial type birth and death terms we show mathematically that the simple interaction between ATM and Wipl is indeed able to exhibit three different behaviours relevant to DNA damage response of p53 network. We further carry out bifurcation analysis on the model with the aim of investigating the mutations such as Wip1 overexpression and ATM deficiency. Based on the proposed canonical model we show that Wipl is an important target for curing these types of mutations. © 2023 Elsevier B.V. All rights reserved.Conference Object Citation - WoS: 1Citation - Scopus: 1A 2-dimensional reduced oscillator model with rational nonlinearities for p53 dynamics(Institute of Electrical and Electronics Engineers Inc., 2017) Gökhan Demirkıran; Güleser Kalayci Demir; Cüneyt Güzeliş; Guzelis, Cuneyt; Demirkiran, Gokhan; Demir, Guleser Kalaycp53 tumour suppressor network plays the key role in DNA damage response of the cell. We present a comprehensive 2-dimensional oscillator model for p53 network dynamics. The model is reduced from the known 17-dimensional two-phase model of p53 network which shows temporary oscillatory behaviour under DNA damage type of Double Strand Breaks. The introduced oscillator model shows the same qualitative dynamics of two-phase model of p53 network such as bistability and oscillations when the parameters are adjusted accordingly. With the help of the identified oscillator in p53 network we introduce a new oscillator perspective: p53 network has an oscillator in the centre which other systems in the cell manipulate this oscillator to contribute to cell fate. The introduction of such low dimensional oscillator model will make it possible to study p53 network and the effects of other biological systems in the context of oscillations. © 2023 Elsevier B.V. All rights reserved.Conference Object Citation - WoS: 11Citation - Scopus: 13A 3-Dimensional Architectural Layout Generation Procedure for Optimization Applications: DC-RVD(Education and research in Computer Aided Architectural Design in Europe, 2014) Ioannis Chatzikonstantinou; Chatzikonstantinou, Ioannis; E.M. ThompsonA procedure for generating 3-dimensional spatial configurations for optimization applications termed Dimension Constrained Rectangular Voronoi Diagram (DC-RVD) is presented in this paper. The procedure is able to generate a non-overlapping configuration of spatial units in 3-dimensional space given a string of real values. It constitutes an extension and adaptation of the Rectangular Voronoi Diagram generating procedure found in the work of Choi and Young (1991). An extensive description of the procedure with the relevant pseudocode is included in the paper. The procedure is tested in a stochastic optimisation-based decision support environment. Testing is done using a case study of a medium-sized family house. The result indicate promising performance. © 2024 Elsevier B.V. All rights reserved.Article Citation - WoS: 2Citation - Scopus: 2A bi-criteria single machine scheduling with rate-modifying-activity(Gazi Universitesi, 2013) Yucel Yilmaz Ozturkoglu; Öztürkoǧlu, YücelIn this paper we consider a single machine scheduling problem with two criteria: minimizing both total flow time with total tardiness and minimize maximum tardiness with number of tardy jobs. Unlike the classical scheduling problems we use a job position deterioration which means that the job processing time increases as a function of the job position. Besides deteriorated jobs we also consider rate-modifying-activities which alter the efficiency of the deteriorating processor. This is the first paper to combine both time dependent processing times and problems with rate-modifying-activity in the bi-criteria objectives. To solve the new type of problem we introduce a new scheduling mathematical model which is based on one developed Ozturkoglu and Bulfin [1]. To analyze the efficiency of the mathematical model we use three different approaches. According to computational results up to 50 jobs can be solved in less than one minute. © 2023 Elsevier B.V. All rights reserved.Article Citation - WoS: 18Citation - Scopus: 22A bi-objective mathematical model for product allocation in block stacking warehouses(WILEY, 2020) Omer Ozturkoglu; Ozturkoglu, OmerPut-away and picking operations in warehouses play a critical role in determining operating costs and customer response time. While the place where products are put away has an important effect on picking efficiency due to accessibility it also affects space usage which is critical for space availability and space costs. Hence this study focuses on put-away operations in pallet-in pallet-out block stacking warehouses. We develop a unique bi-objective mathematical model and a constructive heuristic algorithm to allocate products to storage lanes while considering two objectives simultaneously: minimizing total travel distance and maximizing average storage usage. We test our model and heuristic through a real company case study and randomly generated large-sized problem instances. We show that the model and heuristic offer better storage usage with reduced travel distance than the company's approach when the two objectives have equal weight. We also present a set of nondominated solutions for each problem instance. We present that the heuristic seems beneficial for the warehouse industry due to its short run time and effective solutions.Article Citation - WoS: 36Citation - Scopus: 51A big data analytics based methodology for strategic decision making(EMERALD GROUP PUBLISHING LTD, 2020) Murat Ozemre; Ozgur Kabadurmus; Kabadurmus, Ozgur; Ozemre, MuratPurpose The purpose of this paper is to present a novel framework for strategic decision making using Big Data Analytics (BDA) methodology. Design/methodology/approach In this study two different machine learning algorithms Random Forest (RF) and Artificial Neural Networks (ANN) are employed to forecast export volumes using an extensive amount of open trade data. The forecasted values are included in the Boston Consulting Group (BCG) Matrix to conduct strategic market analysis. Findings The proposed methodology is validated using a hypothetical case study of a Chinese company exporting refrigerators and freezers. The results show that the proposed methodology makes accurate trade forecasts and helps to conduct strategic market analysis effectively. Also the RF performs better than the ANN in terms of forecast accuracy. Research limitations/implications This study presents only one case study to test the proposed methodology. In future studies the validity of the proposed method can be further generalized in different product groups and countries. Practical implications In today's highly competitive business environment an effective strategic market analysis requires importers or exporters to make better predictions and strategic decisions. Using the proposed BDA based methodology companies can effectively identify new business opportunities and adjust their strategic decisions accordingly. Originality/value This is the first study to present a holistic methodology for strategic market analysis using BDA. The proposed methodology accurately forecasts international trade volumes and facilitates the strategic decision-making process by providing future insights into global markets.Conference Object Citation - Scopus: 1A Broadband Lens Loaded Vivaldi Antenna for Sub-6 GHz/mm Wave 5G Applications and Wideband Nondestructive Material Characterization(Institute of Electrical and Electronics Engineers Inc., 2024) Berker Colak; Zeynep Ertekin; Mustafa Seçmen; Colak, Berker; Ertekin, Zeynep; Secmen, MustafaThis study presents a broadband and compact antipodal Vivaldi antenna design and production having an improved gain characteristic with the addition of a dielectric lens made of PLA. The proposed antenna has measured VSWR of less than 2.1 through the broadband frequency of 3.3-43.5 GHz and has more than 6.5 dBi measured gain above 8.5 GHz (up to 43.5 GHz). The antenna which can fit in a cube with just 4.8 cm edge has low-cost and easy manufacturing. It can meet the need of multiple antennas due to its broad frequency range (from S-band to Ka-band) which covers different applications such as wideband nondestructive material characterization and testing. Since the proposed antenna covers sub-6 GHz (3.3 GHz 5.8 GHz) and mmWave (26 38 41 GHz) 5G frequencies it can be also used in base stations with MIMO or array configuration. © 2024 Elsevier B.V. All rights reserved.Article Citation - WoS: 9Citation - Scopus: 19A circular business cluster model for sustainable operations management(TAYLOR & FRANCIS LTD, 2024) Erhan Ada; Muhittin Sagnak; Sachin Kumar Mangla; Yigit Kazancoglu; Ada, Erhan; Sagnak, Muhittin; Mangla, Sachin Kumar; Kazancoglu, YigitEcological pollution scarcity of resources climate change and population growth have forced organisations to transform from a linear to a circular economy. Hence the need arises to redesign value chains and traditional business models. Thus the aim of this study is to develop a new conceptual eco-cluster model called 'Circular Business Cluster Model' to combine the advantages of both clustering and a circular economy. This paper seeks to establish a framework and provide guidelines for policy-makers such as governments local authorities and organised industrial zone administrators. The contribution of this paper is to highlight and emphasise the crucial role of circular economy principles to transform a classical business model into an eco-business model. Circular Business Cluster Model includes the conceptual framework network structure interactions between cluster components and 6R activities. A case study was conducted to check the applicability of the proposed Circular Business Cluster Model. Eleven centres in this model were evaluated. Fuzzy Best-Worst Method (BWM) was used to find the relative weights. Based on the Circular Business Cluster Model theoretical and managerial implications have been presented.Article Citation - WoS: 3Citation - Scopus: 3A CMIP6-based drought assessment over Küçük Menderes BasinTürkiye(Springer, 2025) Farzad Rotbeei; Mustafa Nuri Balov; Mir Jafar Sadegh Safari; Babak Vaheddoost; Vaheddoost, Babak; Rotbeei, Farzad; Safari, Mir Jafar Sadegh; Nuri Balov, MustafaDroughts are the phenomenon of which their magnitude and frequency are forecasted to escalate over time primarily due to the impacts of climate change and global warming. Hence the potential consequences of the expected drought events are of the great importance in performing effective adaptation and regional mitigation strategies. The objective of the current study is to explore the consequences of climate change on the future droughts in Küçük Menderes Basin in western Türkiye. This objective will be addressed by examining the outputs of four General Circulation Models (GCMs) incorporated within Phase 6 of the Coupled Model Inter-comparison Project (CMIP6) with particular emphasis on two contrasting emission trajectories: SSP2-4.5 and SSP5-8.5. The daily precipitation and temperature projections are then utilized in determination of the so-called Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) drought indices with consideration to 2015–2039 as near future 2040–2069 as mid-term future and 2070–2099 as late future time frames. According to projections based on the SSP2-4.5 and SSP5-8.5 scenarios the number of dry months is anticipated to escalate by approximately 26.12% and 39.80% respectively toward the end of the twenty-first century (2070–2099) in contrast to the reference period (1985–2014). Results of the current study provide valuable insights for developing adaptation strategies to address future consequences of drought events in the Küçük Menderes Basin amid evolving climate conditions. © 2025 Elsevier B.V. All rights reserved.Article Citation - WoS: 9Citation - Scopus: 10A collaborative numerical simulation-soft computing approach for earth dams first impoundment modeling(ELSEVIER SCI LTD, 2023) Behzad Shakouri; Mirali Mohammadi; Mir Jafar Sadegh Safari; Mohammad Amin Hariri-Ardebili; Hariri-Ardebili, Mohammad Amin; Shakouri, Behzad; Safari, Mir Jafar Sadegh; Mohammadi, MiraliUncertainty quantification plays a crucial role in the design monitoring and risk assessment of earth dams. To reduce the computational burden we employ a combination of finite difference method and soft computing techniques to investigate material uncertainties in earth dams during the initial impoundment stage. The findings of sensitivity analysis with the Tornado diagram indicate that key material properties such as dry density elasticity modulus friction angle and Poisson's ratio significantly influence the displacements and stress analysis. In our study we explore four variants of extreme learning machines (ELMs): the standalone ELM hybridized versions with the improved grey wolf optimizer algorithm ant colony optimization for continuous domains and artificial bee colony. These methods are assessed across various training sizes to predict multiple parameters including horizontal and vertical displacements stresses and the factor of safety (FoS). The hybridized ELM with the improved grey wolf optimizer algorithm emerges as the superior choice for most of the response variables. A minimum of 200 numerical simulations is required to establish a stable and accurate meta-model with an average prediction error of less than 3% for responses and the FoS.Conference Object Citation - Scopus: 1A combined technology for wildfire detection using HS/RF(IEEE, 2009) Graeme Hanssen; Yasar Guneri Sahin; Hanssen, Graeme; Sahin, Yasar GuneriThis paper addresses an effective early detection system of wildfires using high resolution images from low-light sensitive cameras linked to an innovative HS/RF (High Speed/Radio Frequency) communications grid. Using data compression techniques a data-stream and signal management application combined with OFDM data transmission the HS/RF enables "broadband speed" wireless communications. This obviates the need for expensive FO cabled infrastructure in remote locations meaning the proposed system is relatively inexpensive to deploy. In terms of forestry management the HS/RF system exhibits dual advantages, because the video-stream provides real images on the ground there should be a reduction in false-alarms and a reduction in the decisions-time to enable a rapid response. Systems processes and specialized hardware required to support operational details are also described. © 2009 IEEE. © 2010 Elsevier B.V. All rights reserved.Review Citation - Scopus: 1A comparative review for question answering frameworks on the linked data(Bentham Science Publishers, 2021) Ceren Ocal Tasar; Murat Komesli; Murat Osman Unalir; Tasar, Ceren O.; Komesli, Murat; Unalir, Murat O.Background: One of the state-of-the-art techniques for question answering frameworks is using linked data by converting the user input into SPARQL which is the query language for linked data. Objective: The main target is to emphasize the most fundamental issues while developing a question answering frameworks that accept input in natural language and converting it into SPARQL. Methods: The trend of applying linked data as a data source is gaining popularity among the re-searchers. In this study question answering frameworks that combine both natural language processing techniques and linked data technologies are examined. Common principles of examined question answering frameworks recognize user intention enriching natural language input and converting it to a SPARQL query. Results: 9 studies are selected for further examination to be compared by using selection criteria de-fined in the research methodology. Conclusion: Resulting outcomes are represented and compared in detail. In addition to the comparative review of systems a general architecture of question answering frameworks on the linked data is drawn as an outcome of this study to provide a guideline for the researchers who are studying related research fields. © 2021 Elsevier B.V. All rights reserved.Conference Object A Comparative Study of Artificial Intelligence Based Methods for Abnormal Pattern Identification in SPC(SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Umut Avci; Onder Bulut; Ayhan Ozgur Toy; Toy, Ayhan Ozgur; Bulut, Onder; Avci, Umut; C Kahraman; AC Tolga; SC Onar; S Cebi; B Oztaysi; IU SariStatistical process control techniques have been used to detect any assignable cause that may result in a lower quality. Among these techniques is the identification of any abnormal patterns that may indicate the presence of an assignable cause. These abnormal patterns may be in the form of steady movement in one direction i.e. trends, an instantaneous change in the process mean i.e. sudden shift, a series of high observations followed by a series of low observations i.e. cycles. As long as we can classify the observed data the decision maker can decide on actions to be performed to ensure quality standards and planning for interventions. In identification of these abnormal patterns rather than relying on human element intelligent tools have been proposed in the literature. We attempt to provide a comparative study of various classification algorithms used for pattern identification in statistical process control. We specifically consider six different types of patterns to classify. These different types are: (1) Normal (2) Upward trend (3) Downward trend (4) Upward shift (5) Downward shift (6) Cyclic. A recent trend in classification is to use deep neural networks (DNNs). However due to the design complexity of DNNs alternative classification methods should also be considered. Our focus on this study is to compare traditional classification methods to a recent DNN solution in the literature in terms of their efficiencies. Our numerical study indicates that basic classification algorithms perform relatively well in addition to their structural advantages.Article Citation - WoS: 38Citation - Scopus: 40A comparative study on conventional and advanced exergetic analyses of geothermal district heating systems based on actual operational data(Elsevier Science SA, 2013) A. Hepbasli; Ali Keçebaş; Hepbasli, Arif; Kecebas, AliThis paper comparatively evaluates exergy destructions of a geothermal district heating system (GDHS) using both conventional and advanced exergetic analysis methods to identify the potential for improvement and the interactions among the components. As a real case study the Afyon GDHS in Afyonkarahisar Turkey is considered based on actual operational data. For the first time advanced exergetic analysis is applied to the GDHSs in which the exergy destruction rate within each component is split into unavoidable/avoidable and endogenous/exogenous parts. The results indicate that the interconnections among all the components are not very strong. Thus one should focus on how to reduce the internal inefficiency (destruction) rates of the components. The highest priority for improvement in the advanced exergetic analysis is in the re-injection pump (PM-IX) while it is the heat exchanger (HEX-III) in the conventional analysis. In addition there is a substantial influence on the overall system as the total avoidable exergy destruction rate of the heat exchanger (HEX-V) has the highest value. On the overall system basis the value for the conventional exergetic efficiency is determined to be 29.29% while that for the modified exergetic efficiency is calculated to be 34.46% through improving the overall components. © 2013 Elsevier B.V. © 2013 Elsevier B.V. All rights reserved.Article Citation - WoS: 12Citation - Scopus: 13A comparative study on estimating the landfill gas potential: Modeling and analysis(Taylor and Francis Inc. 325 Chestnut St Suite 800 Philadelphia PA 19106, 2016) Ali Kemal Çakir; Huseyin Gunerhan; A. Hepbasli; Hepbasli, A.; Gunerhan, H.; Cakir, A. K.The main objective of this study is to investigate the use of the landfill gas as potential energy and electricity obtained from the municipal solid waste (domestic industrial medical waste and sewage sludge) stored regularly in the Harmandali solid waste landfill area within the boundaries of the contiguous area of Izmir. The most important factor in making a decision about energy potential in the landfill is the amount of methane in the landfill gas. There are several approaches that have been used to determine the amount of the landfill gas. In this study three different methods and one approach in the literature were used for this purpose. The methods used are the Multi-Phase the LandGEM and the IPCC 2006. The results of the landfill gas obtained using the three methods namely the Multi-Phase the LandGEM (k = 0.35 k = 0.1 and k = 0.05) and the IPCC 2006 were as follows respectively: 291897215 792073359 769734749 681685027 and 491752247 m3. It may be concluded that the Harmandali Landfill has high landfill gas potential based on the measurements and mathematical methods used in the Harmandali landfill. © 2017 Elsevier B.V. All rights reserved.Conference Object Citation - WoS: 2Citation - Scopus: 4A comparison of feature selection algorithms for cancer classification through gene expression data: Leukemia case(Institute of Electrical and Electronics Engineers Inc., 2017) Asli Tasci; Türker Ince; Cüneyt Güzeliş; Guzelis, Cuneyt; Tasci, Asli; Ince, TurkerIn this study three different feature selection algorithms are compared using Support Vector Machines as classifier for cancer classification through gene expression data. The ability of feature selection algorithms to select an optimal gene subset for a cancer type is evaluated by the classification ability of selected genes. A publicly available micro array dataset is employed for gene expression values. Selected gene subsets were able to classify subtypes of the considered cancer type with high accuracies and showed that these feature selection methods were applicable for bio-marker gene selection. © 2023 Elsevier B.V. All rights reserved.Article Citation - WoS: 1Citation - Scopus: 2A Comparison of the Antecedents of Organizational Identification and Affective Commitment(TURKISH PSYCHOLOGISTS ASSOC, 2015) Evrim Guleryuz; Orhan Aydm; Guleryuz, Evrim; Aydm, OrhanThe present study was sought to clarify various antecedents of organizational identification and affective commitment. Data were obtained from 444 employees of various public and private organizations. Two hierarchical regression analysis were conducted to find out the differences in the relationships of organizational identification affective commitment and their antecedents. It was found that strength of organizational identity perceived external prestige person-organization fit and need for affiliation predicted both organizational identification and affective commitment. Besides this organization-based self-esteem predicted organizational identification but not affective commitment and job satisfaction predicted affective commitment but not organizational identification. It was also found that self-esteem distributional justice procedural justice and interactional justice were not predicted any of these constructs.Article Citation - WoS: 26Citation - Scopus: 29A comprehensive evaluation of PV electricity production methods and life cycle energy-cost assessment of a particular system(ELSEVIER SCI LTD, 2019) Huseyin Gunhan Ozcan; Huseyin Gunerhan; Nurdan Yildirim; Arif Hepbasli; Ozcan, Huseyin Gunhan; Yildirim, Nurdan; Hepbasli, Arif; Gunerhan, HuseyinThis paper presents the study about electricity generation from solar photovoltaic technology based on four different methodologies with some performance indicators namely performance ratio system efficiency fill and capacity utilization factors respectively. In this regard not only theoretical approach and simulation programs (PVSOL and TRNSYS) were used to determine annual production but also experimental studies were carried out for the validation. While annual sum of electricity generation was evaluated between 3913.84 and 4323.94 kWh the PVSOL program was determined to be the method that best reflected the experimental studies with a rate of 94.33%. Moreover while fill and capacity utilization factors were annually obtained to be almost similar annual values for the performance ratio and system efficiency were evaluated to be partially close to each other based on the theoretical approach and PVSOL program. Besides evaluation of the power production and performance indicators a life cycle energy analysis was also made for a particular system with a capacity of 2.55 kWp and energy payback periods were obtained to be between 1.99 and 2.54 years considering four different methodologies. Moreover the life cycle cost analysis was performed with or without battery option and some improvement proposals were presented for the energy market to become investable. (C) 2019 Elsevier Ltd. All rights reserved.
