253 research outputs found
Erratum: Optical transition rates of a meso-substituted thiacarbocyanine in methanol-in-oil reverse micelles (Journal of Luminescence (2005) 113 (1-8) DOI:10.1016/j.jlumin.2004.07.009)
No full textThe correct correspondence information for the first author is:
Serdar Özçelik
Chemistry Department,
Izmir Institute of Technology,
Urla-35430 Izmir, Turkey
E-mail address: [email protected]
Tel.: +90 232 750 7557
fax: +90 232 750 750
Performance maximization of network assisted mobile data offloading with opportunistic Device-to-Device communications
No full textA. Serdar Tan (MEF Author)Mobile data traffic inside mobile operator's infrastructure is increasing exponentially every year. This increasing demand forces mobile network operators (MNOs) to seek for alternative communication methods in order to relieve the traffic load in base stations, especially in highly populated and crowded environments. Network assisted data offload and Device-to-Device(D2D) communications are two prominent methods to help MNOs solve this problem. In this study, a data offload framework is developed that incorporates network assisted multiple attribute decision making (MADM) for best network selection and D2D communications for exploiting user proximity in crowded environments. The performance of the framework is evaluated with simulation results as well as analytic solutions and performance bounds. The simulation results indicate the superiority of incorporating network-based information besides user-based information in offloading decisions and demonstrates the significant benefits of D2D communications when the density of D2D users is properly adjusted. The simulation results depict that up to 168% and 200% increase in user satisfaction and throughput can be achieved under high network load scenarios at optimal D2D density. (C) 2018 Elsevier B.V. All rights reserved.WOS:0004411171000032-s2.0-85047401058Science Citation Index ExpandedArticleUluslararası işbirliği ile yapılmayan - HAYIRAğustosYÖK - 2017-1
Çimkent Ahıska Türkleri Derneği başkanı Latif Şen ve Ahıska Gazetesi genel yayın yönetmeni Ruşen Mehmetoğlu ile söyleşi
No full textYılmaz, Serdar (Arel Author)
Dünya Ahıska Türkleri Birliği başkanı Ziyaettin İsmihanoğlu Kassanov ile söyleşi
No full textYılmaz, Serdar (Arel Author)
Regression Analysis of Stock Exchanges During the Ramadan Period: Analysis of 16 Countries
No full textA. Serdar Tan (MEF Author)##nofulltext##..
A new SNMP-based algorithm for network traffic balancing in virtual local area networks
No full textSanal Yerel Alan Ağları (VLAN), yerel alan ağlarında performansı artırmak, güvenlik yönetimini kolaylaştırmak ve adres
yönetimini sağlamak için oluşturulur. Bu çalışmada, VLAN’da yük dengelemesini sağlamak için yeni bir yaklaşım
sunulmaktadır. Bu yaklaşım için önerdiğimiz metot, aynı güvenlik düzeyine sahip VLAN’lardaki toplam trafiğe göre,
düğümlerin VLAN üyeliklerini dinamik olarak değiştirmektedir. Özel güvenlik düzeyine sahip olan VLAN’lara üye olması
gereken düğümler için ağın her noktasından aynı VLAN’a üye olması bu yaklaşımın getirdiği esnekliklerden biridir. Bu metoda
göre ağda bulunması gereken VLAN sayısı, parametrik veya sabit öndeğerli olarak ayarlanabilmekte her bir VLAN’da trafik
oluşturan üyelerin, yaklaşık eşit şekilde dağıtılması sağlanmaktadır. Bu sayede sanal yerel alan ağlarında eşit ya da birbirine
yakın trafik değerleri oluşmaktadır. Bu metodun işlevselliğini test etmek için Basit Ağ Yönetim Protokolü (SNMP) temelli bir
yazılım geliştirilmiş ve gerçek ağ ortamında uygulanarak önerilen amaçlara ulaşılmıştır.Virtual local area network (VLAN)’s are being created for improve performance, easy to manage security and ensure address on local area networks. This paper introduces a new approach for load balancing on virtual local area networks. The method which is developed for this approach, is dynamically changing the clients ports VLAN membership according to VLAN’s total traffic of the same security policy. The clients which have to register to security VLAN, can access their permission level source at all physically location of LAN, this is the flexibility of the method. The VLAN count which have to be on the LAN, can adjust parametrically or default constantly. In the algorithm which developed for this approach, the hosts belong to traffic on the network, ensures as much as possible equal or nearest distributes homogeneous on the VLAN’s. In this way the VLAN’s have same or nearest traffic value. A software has developed for testing functionality of this method which using SNMP protocol and reached to the aims by testing on the real network. © 2019 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved
Analgesics effect of intra-articular bupivacaine injection on pain score in anterior cruciate ligament surgery: a randomized clinical trial
No full text<p>Abstract Background: The aim of this study was to examine the effects of injection timing and drainage clamps on patient pain scores in intra-articular local anesthetic applications after arthroscopic anterior cruciate ligament (ACL) reconstruction. Materials and Methods: Forty patients undergoing arthroscopic ACL reconstruction were randomly allocated to one of the four study groups according to the time of the intraarticular bupivacaine (20 ml) injection and the presence of the drainage clamps as follows: Preoperative injection group (PO) received bupivacaine injection 20 minutes prior to the operation, Drain Open group (DO) received bupivacaine injection following the operation while the hemovac drain was open, Drain closed group (DC) received bupivacaine injection following the operation while the hemovac drain was closed, and the control group in which the subjects did not receive any intraarticular injections. Results: The VAS score for postoperative joint pain was lowest in PO group among all groups at the postoperative 2nd hour. At the 4th and the 6th postoperative hours the VAS score for postoperative joint pain was similar in the PO and DC groups and was lower than that of the DO group and the controls. However, the VAS score at the postoperative 12th hour was lower in DO and DC groups that the PO group and the controls. Conclusions: The VAS score for postoperative joint pain changes with respect to the timing of the injection and the presence or absence of drainage. Key words: intra-articular, bupivacaine, postoperative pain scores</p>
Erratum: Comparison of cardiac magnetic resonance and cardiac ultrasound imaging findings in congenital and acquired heart diseases (Serdar Serinsoz, Remzi Akturk, Sibel Bayramoglu. Sanamed.2020;15(2):115-20.doi: 10.24125/sanamed.v15i2.418)
No full textThe authors of this paper informed us about the existence of an error. Remzi Akturk has been listed as a co-author in this article. In order to prevent ethical issues, all authors of this article agreed that he should be listed as a guest author instead of co-author because he did not contribute in data collecting. Because of that, the name Remzi Akturk is removed from the author's list in this article. All authors send a signed agreement that the name of Remzi Akturk must be removed from the author's list. According to this, the list of the authors on pages 115 and 119 "Serdar Serinsoz, Remzi Akturk, Sibel Bayramoglu" should be replaced with: "Serdar Serinsoz, Sibel Bayramoglu"
Continuous Compliance scripts and data
No full textThis file contains the scripts and data used in the open-source portion (sections 6 and 7) of the paper "Continuous Compliance" by Martin Kellogg, Martin Schäf, Serdar Tasiran, and Michael D. Ernst, which appeared in Automated Software Engineering (ASE) 2020. Please contact the first author if you have any questions, concerns, or problems regarding this dataset - we would be happy to help you
Determination of gold purity degrees using audio features with machine learning algorithms
No full textGold purity determination is a critical part of quality control in jewellery and industrial production. Traditional methods (chemical analyses, X-ray fluorescence, etc.) can be costly, time consuming and destructive. This study aims to present an audio-based non-destructive alternative for gold purity classification. Mel-Frequency Cepstral Coefficients (MFCC) features delta-delta extracted from audio signals were analysed with 10 different machine learning algorithms (Support Vector Machines (SVM), Decision Trees, Logistic Regression, Random Forest, KNearest Neighbour (KNN), Naive Bayes, Gradient Boosting, AdaBoost, XGBoost, LightGBM). The dataset was divided into training, test and validation subsets; features were normalised with StandardScaler and the generalization performance of the models was optimised with 5-fold cross-validation. In the comparison of performance metrics (accuracy, precision, recall, F1-score), it was observed that SVM (94.58%) and Logistic Regression (93.75%) models were superior to other algorithms, especially in capturing subtle differences between classes. Confusion matrices detail the success of the model in discriminating 14, 22 and 24 carat classes. This study proves that the use of audio data in gold purity analysis has the potential for a fast, repeatable and non-destructive solution in industrial applications
- …
