Search Results

Now showing 1 - 10 of 71
  • Article
    Citation - WoS: 2
    Citation - Scopus: 3
    A Short Note on Permutation Trinomials of Prescribed Type
    (Taylor & Francis inc, 2020) Akbal, Yildirim; Temur, Burcu Gulmez; Ongan, Pinar
    We show that there are no permutation trinomials of the form hox 1/4 x5 ox5oq1 xq1 1 over Fq2 where q is not a power of 2. Together with a result of Zha, Z., Hu, L., Fan, S., hox permutes Fq2 if q 1/4 2k where k 2 omod 4, this gives a complete classification of those q's such that hox permutes F-q(2).
  • Article
    Citation - WoS: 7
    Citation - Scopus: 10
    Combined Use of Ultrasonic-Assisted Drilling and Minimum Quantity Lubrication for Drilling of Niti Shape Memory Alloy
    (Taylor & Francis inc, 2023) Namlu, Ramazan Hakki; Lotfi, Bahram; Kilic, S. Engin; Yilmaz, Okan Deniz; Akar, Samet
    The drilling of shape-memory alloys based on nickel-titanium (Nitinol) is challenging due to their unique properties, such as high strength, high hardness and strong work hardening, which results in excessive tool wear and damage to the material. In this study, an attempt has been made to characterize the drillability of Nitinol by investigating the process/cooling interaction. Four different combinations of process/cooling have been studied as conventional drilling with flood cooling (CD-Wet) and with minimum quantity lubrication (CD-MQL), ultrasonic-assisted drilling with flood cooling (UAD-Wet) and with MQL (UAD-MQL). The drill bit wear, drilling forces, chip morphology and drilled hole quality are used as the performance measures. The results show that UAD conditions result in lower feed forces than CD conditions, with a 31.2% reduction in wet and a 15.3% reduction in MQL on average. The lowest feed forces are observed in UAD-Wet conditions due to better coolant penetration in the cutting zone. The UAD-Wet yielded the lowest tool wear, while CD-MQL exhibited the most severe. UAD demonstrated a & SIM;50% lower tool wear in the wet condition than CD and a 38.7% in the MQL condition. UAD is shown to outperform the CD process in terms of drilled-hole accuracy.
  • Conference Object
    Aldose Reductase Natural Inhibitors From Ethyl Acetate Extracts From Southern Turkey
    (Taylor & Francis inc, 2010) Onay, Melih; Coruh, Nursen; Isgor, Belgin
    [No Abstract Available]
  • Article
    Citation - WoS: 10
    Citation - Scopus: 14
    An Intelligent Indoor Guidance and Navigation System for the Visually Impaired
    (Taylor & Francis inc, 2022) Kahraman, M.; Turhan, C.
    Intelligent guidance in complex environments where various procedures are required for navigation is critical to achieving mobility for the visually impaired. This study presents a newly developed software prototype with a hybrid RFID/BLE infrastructure to provide intelligent navigation and guidance to the visually impaired in complex indoor environments. The system enables the users to input their purpose via a specially designed user interface, and provides intelligent guidance through a chain of destination targets which are determined according to the inherent procedures of the environment. Path optimization is performed by adaptation of the traveling salesman problem, and real-time instantaneous instructions are provided to guide the users through the predetermined destination points. For evaluation purposes, a hospital environment is constructed as an example of a complex environment and the system is tested by visually impaired participants. The results show that the intelligent purpose selection and destination evaluation mechanism modules of the system are found to be effective by all the participants.
  • Article
    Citation - WoS: 7
    Citation - Scopus: 8
    Modeling Systems With Two Dependent Components Under Bivariate Shock Models
    (Taylor & Francis inc, 2019) Eryilmaz, Serkan
    Series and parallel systems consisting of two dependent components are studied under bivariate shock models. The random variables N-1 and N-2 that represent respectively the number of shocks until failure of component 1 and component 2 are assumed to be dependent and phase-type. The times between successive shocks are assumed to follow a continuous phase-type distribution, and survival functions and mean time to failure values of series and parallel systems are obtained in matrix forms. An upper bound for the joint survival function of the components is also provided under the particular case when the times between shocks follow exponential distribution.
  • Article
    Citation - WoS: 18
    Citation - Scopus: 21
    Research Trends in Management Issues of Global Software Development: Evaluating the Past To Envision the Future
    (Taylor & Francis inc, 2011) Mishra, Deepti; Mishra, Alok
    This paper presents research trends in management issues (project management, process management, knowledge management, requirements management, configuration management, risk management, quality management) of distributed/global information system development. The main objective is to highlight the current research and practice direction in these areas. The results are based on peer-reviewed conference papers/journal articles, published between 2000 and early 2011. The analysis revealed that most research has been done in project management, process management, knowledge management and requirements management areas while configuration, risk, and quality management issues could get only limited attention in global/distributed information system development. This indicates the need for future research (quantitative and qualitative) in these areas.
  • Article
    Citation - WoS: 5
    Citation - Scopus: 5
    Electrochemical Polymerization of Para-Substituted Haloanilines
    (Taylor & Francis inc, 2006) Cihaner, A; Önal, AM
    Polyhaloanilines: poly(4-fluoroaniline) (P4FAN), poly(4-chloroaniline) (P4CAN), and poly(4-bromoaniline) (P4BAN), are synthesized from para-substituted haloaniline monomers; 4-fluoroaniline (4FAN), 4-chloroaniline (4CAN), and 4-bromoaniline (4BAN), respectively, via constant potential electrolysis (CPE) in acetonitrile-water mixture (1:1 v/v) with NaClO4 as supporting electrolyte. Prior to CPE, electrochemical behavior of the monomers were investigated in organic medium utilizing cyclic voltammetry (CV). The course of CPE was monitored using in-situ UV-VIS spectroscopic technique. Characterization of polymer products have been carried out using FT-IR and NMR spectroscopic techniques and thermal behaviors were studied using differential scanning calorimeter (DSC). Polyhaloanilines synthesized by electrochemical oxidation were doped using iodine and the change in the paramagnetic behavior was monitored by ESR, UV-VIS, and FT-IR.
  • Review
    Citation - WoS: 3
    Citation - Scopus: 6
    Machine Learning for Sustainable Reutilization of Waste Materials as Energy Sources - a Comprehensive Review
    (Taylor & Francis inc, 2024) Peng, Wei; Sadaghiani, Omid Karimi
    This work reviews Machine Learning applications in the sustainable utilization of waste materials as energy source so that analysis of the past works exposed the lack of reviewing study. To solve it, the origin of waste biomass raw materials is explained, and the application of Machine Learning in this section is scrutinized. After analysis of numerous papers, it is concluded that Machine Learning and Deep Learning are widely utilized in waste biomass production areas to enhance the quality and quantity of production, improve the predictions, diminish the losses, as well as increase storage and transformation conditions. The positive effects and application with the utilized algorithms and other effective information are collected in this work for the first time. According to the statistical analysis, in 20% out of the studies conducted about the application of Machine Learning and Deep Learning in waste biomass raw materials, Artificial Neural Network (ANN) algorithm has been applied. Afterward, the Super Vector Machine (SVM) and Random Forest (RF) are the second and third most-utilized algorithms applied in 15% and 14% of studies. Meanwhile, 27% of studies focused on the applications of Machine Learning and Deep Learning in the Forest wastes.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 2
    On the First Time of Ruin in Two-Dimensional Discrete Time Risk Model With Dependent Claim Occurrences
    (Taylor & Francis inc, 2018) Eryilmaz, Serkan
    This article is concerned with a two-dimensional discrete time risk model based on exchangeable dependent claim occurrences. In particular, we obtain a recursive expression for the finite time non ruin probability under such a dependence among claim occurrences. For an illustration, we define a bivariate compound beta-binomial risk model and present numerical results on this model by comparing the corresponding results of the bivariate compound binomial risk model.
  • Article
    Citation - WoS: 5
    Citation - Scopus: 5
    Integrating Family-Centered Care To Child Health and Diseases Nursing Course Via Distance Education
    (Taylor & Francis inc, 2023) Ozbay, Sevil Cinar; Ozbay, Ozkan; Boztepe, Handan
    The aim of this study was to determine the impact of an online Child Health and Diseases Nursing course emphasizing family-centered care upon the perceptions of nursing students toward family-centered care. A one-group pretest-posttest model was used in this study. The research participants consisted of 88 students studying at X University, Faculty of Health Sciences, Department of Nursing. While 67.1% of the students stated that there were obstacles in implementing family-centered care, 73.9% stated that there were no facilitating elements in implementing of family-centered care. A statistically significant difference was found between the mean scores of the students' posttest family-centered care attitude and parents' attitude at the end of the training. This study provides insights into family-centered care, which could be used in crafting policies and interventions in nursing education in Turkey. Such insights could foster positive perceptions of family-centered care among student nurses.