Scopus İndeksli Yayınlar Koleksiyonu

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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.
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]
3D Printing of Food Products for Sustainability
(Elsevier, 2026) Hussain, Chaudhery Mustansar; Ekren, Banu Yetkin
3D Printing’s Impact on Sustainable Food Supply Chain Management
(Elsevier, 2026) Li, Wenqi; Aktas, Emel; Ekren, Banu Yetkin
Citation - WoS: 1
Citation - Scopus: 1
A 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 Kalayc
Under 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.
Citation - WoS: 1
Citation - Scopus: 1
A 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 Kalayc
p53 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.
Citation - WoS: 11
Citation - Scopus: 13
A 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. Thompson
A 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.
Citation - WoS: 2
Citation - Scopus: 2
A bi-criteria single machine scheduling with rate-modifying-activity
(Gazi Universitesi, 2013) Yucel Yilmaz Ozturkoglu; Öztürkoǧlu, Yücel
In 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.
Citation - WoS: 18
Citation - Scopus: 22
A bi-objective mathematical model for product allocation in block stacking warehouses
(WILEY, 2018-01-09) Omer Ozturkoglu; Ozturkoglu, Omer
Put-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.
Citation - Scopus: 1
A comparative review for question answering frameworks on the linked data
(Bentham Science Publishers, 2021-10-20) 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.
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 Sari
Statistical 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.
Citation - WoS: 38
Citation - Scopus: 40
A comparative study on conventional and advanced exergetic analyses of geothermal district heating systems based on actual operational data
(Elsevier Science SA, 2013-06) A. Hepbasli; Ali Keçebaş; Hepbasli, Arif; Kecebas, Ali
This 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.
Citation - WoS: 12
Citation - Scopus: 13
A comparative study on estimating the landfill gas potential: Modeling and analysis
(Taylor and Francis Inc. 325 Chestnut St Suite 800 Philadelphia PA 19106, 2016-08-12) 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.
Citation - WoS: 2
Citation - Scopus: 4
A 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, Turker
In 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.
Citation - WoS: 1
Citation - Scopus: 2
A Comparison of the Antecedents of Organizational Identification and Affective Commitment
(TURKISH PSYCHOLOGISTS ASSOC, 2015) Evrim Guleryuz; Orhan Aydm; Guleryuz, Evrim; Aydm, Orhan
The 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.
Citation - WoS: 171
Citation - Scopus: 201
A conceptual framework for barriers of circular supply chains for sustainability in the textile industry
(WILEY, 2020-07-22) Ipek Kazancoglu; Yigit Kazancoglu; Emel Yarimoglu; Aysun Kahraman; Yarimoglu, Emel; Kazancoglu, Ipek; Kazancoglu, Yigit; Kahraman, Aysun
Circular economy is a contemporary concept including usage of renewable materials and technologies. The transition to the circular economy creates value through closed-loop systems reverse logistics eco-design product life cycle management and clean production. The aim of the study was to propose a holistic conceptual framework for barriers of circular supply chain for sustainability in the textile industry. Within this aim an in-depth literature review on barriers was conducted by covering all supply chain stages and circular initiatives in textile industry. Then a focus group study was implemented. In the focus group study barriers related to supply chains that prevent companies to implement the circular economy were discussed and validated. As a result a total of 25 barriers were classified under nine main categories such as (a) management and decision-making (b) labour (c) design challenges (d) materials (e) rules and regulations (f) lack of knowledge and awareness (g) lack of integration and collaboration (h) cost and (i) technical infrastructure.
Citation - Scopus: 15
A Conceptual Framework for Food Loss and Waste in Agri-Food Supply Chains: Circular Economy Perspective
(Springer, 2021) Yasanur Kayikci; Nazlican Gozacan; Çisem Lafci; Yigit Kazancoglu; Kayıkcı, Yaşanur; Gözaçan, Nazlıcan; Lafcı, Çisem; Kazançoğlu, Yiğit
The importance given to Circular Economy (CE) has further increased in the Agri-Food Supply Chain (AFSC) to combat the challenges of food loss and waste which could be caused by various reasons such as poor stock management economic behavior and also the occurrence of COVID-19 outbreak. The transition from linear to circularity can also enable competitive sustainability from farm to fork in AFSC which consists of different stages: farmers food processors food distributors food retailers consumers. Food loss mainly occurs in AFSC at near-farm stages (i.e. harvesting processing) while food waste happens in AFSC at near-fork stages (i.e. retail post-consumption). Thus 6Rs (remanufacture redesign reduce recycle reuse and recover) of CE principles can offer various benefits to close the loop of the wastages along with the AFSC. In this chapter a conceptual framework for circularity in the AFSC is proposed considering the 6Rs. Furthermore this framework also supports the Sustainable Development Goals. The applicability of the proposed framework is examined and discussed in the case of Turkey using SWOT Analysis. Key findings indicate that there is confusion about food loss and waste issues in Turkey. In addition the solutions and developments for FLW problem are generally focused on food waste. © 2021 Elsevier B.V. All rights reserved.
Citation - WoS: 55
Citation - Scopus: 60
A constructive aisle design model for unit-load warehouses with multiple pickup and deposit points
(Elsevier, 2014-07) Kevin R. Gue; Russell D. Meller; Meller, R. D.; Ozturkoglu, O.; Gue, K. R.
We develop a network-based warehouse model of individual pallet locations and their interactions with appropriate cross aisles in order to evaluate the expected travel distance of a given design. The model is constructive in that it uses Particle Swarm Optimization to determine the best angles of cross aisles and picking aisles for multiple pre-determined pickup and deposit (P&D) points in a unit-load warehouse. Our results suggest that alternative designs offer reduced expected travel distance but at the expense of increased storage space. The opportunity for benefit also seems to decline as P&D points increase in number and dispersion. © 2013 Elsevier B.V. All rights reserved. © 2014 Elsevier B.V. All rights reserved.
Citation - WoS: 3
Citation - Scopus: 5
A copula-based BRDF model
(Blackwell Publishing Ltd, 2010-09) Aydin Öztürk; Murat Kurt; Ahmet Bilgili; Kurt, Murat; Bilgili, Ahmet; Ozturk, Aydin
In this paper we introduce a novel approach for modeling surface reflection. We focus on using a family of probability distributions called Archimedean copulas as BRDF models. The Archimedean representation has an attractive property in that the multivariate distributions are characterized by their marginal distributions through a single univariate function only. It is shown that the proposed model meets the reciprocity property of reflection. Based on measured BRDF data we demonstrate that the proposed approach provides a good approximation to BRDF. Empirical comparisons are made with some classically used BRDF models. © 2010 The Eurographics Association and Blackwell Publishing Ltd. © 2018 Elsevier B.V. All rights reserved.
Citation - Scopus: 2
A critical evaluation of Heidegger’s criticism of aesthetics in ‘The Origin of the Work of Art’
(SAGE Publications Ltd info@sagepub.co.uk, 2016-11-01) Ahmet Süner; Süner, Ahmet
This paper examines and critiques Heidegger’s repudiation of aesthetics in his essay ‘The Origin of the Work of Art’ and claims that his alternative approach to artworks in the essay must be understood as a theory of aesthetics and more particularly of aesthetic use which delineates the inseparability of senses and sensations. The paper analyses Heidegger’s explicit remarks on aesthetics in the epilogue discusses his criticism of the aesthetic thing-interpretation at the beginning of the essay and concludes with some critical observations on Heidegger’s own aesthetics. While critical of Heidegger’s separation of the equipment from the artwork the paper claims that Heidegger’s significant contribution to the field of aesthetics must be sought in his focus on the attenuation of the subjective element in aesthetic experience. © 2017 Elsevier B.V. All rights reserved.

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