Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://acikerisim2.beykoz.edu.tr/handle/20.500.12879/3

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Efficient Shared Path Protection Routing for Survivable Optical WDM Networks
(Institute of Electrical and Electronics Engineers Inc., 2019) Erkan, O.F.; Erkan, O.
Sustainability of the service continuity provided in the optical wavelength division multiplexing (WDM) networks with dynamic traffic environment requires effective protection schemes in the connections. Various approaches have been introduced for path protection and wavelength assignment to ensure survivability in WDM networks. In this paper, we propose a two-step algorithm to designate dedicated-path and shared-path protection schemes. The heuristic-based algorithm utilizes a global labeling which considers service time and line protection information. Thus, the algorithm aims to increase resource utilization by improving the efficiency of shared path protection. The proposed algorithm is applied to USNET and EuropeNet networks and performance analysis in terms of blocking probability and resource utilization is carried out. © 2019 IEEE.
Fault Detection in Pipelines with Graph Convolutional Networks (GCN) Method
(Gazi Üniversitesi, 2024) Şahin, E.; Yüce, H.
Pipeline networks have a wide range of applications, from the transportation of energy sources such as oil and natural gas to the conveyance and distribution of water resources. However, leaks and ruptures in pipelines can cause significant harm to the environment. Therefore, it is crucial to accurately detect pipeline faults in order to avoid economic losses and protect the environment. In this study, pipeline networks carrying water fluid are represented using graph structures. The graph convolutional network (GCN) algorithm is employed for the detection of leaks and blockages in pipeline networks. Experimental methods are employed to collect the necessary data (pressure data) for the GCN algorithm, creating two datasets by considering five different scenarios. The fault detection performance of the GCN algorithm is compared with other graph machine learning algorithms, namely, RGCN, HinSAGE, and GraphSAGE. The results of this study indicate that the performance of the GCN model surpasses that of the other algorithms. Reviewing the literature, accuracy rates for fault diagnosis in pipeline networks using machine learning algorithms range from 78.51% to 99%. In this study, it is found that the GCN, GraphSAGE, HinSAGE, and RGCN algorithms achieve fault detection accuracies of 91%, 90%, 87%, and 89%, respectively, in pipeline networks. Classical machine learning SVM model was used to compare the performance of graph-based algorithms. It is seen that the performances of the algorithms face the literature and the results are above the literature average. © 2024 Gazi Universitesi. All rights reserved.
Forensic Interview with Child Victims of Sexual Abuse in Turkey: The Interviewer’s Subjective Experience
(Association for Clinical Psychology Research, 2023) Ustun Gullu, B.; Erden, G.
Child abuse and neglect is an important social problem affecting millions of children and their families around the world. Regardless of the physical, emotional, or sexual abuse, in the judicial process regarding child abuse, it is very important to collect and evaluate the physical, biological, and psychological findings correctly, as well as forensic interviews with the victim child. Forensic interview is an interview in which information about the incident is collected, whether the crime has been revealed, and the obtained information is analyzed in a psychological and legal framework, with an impartial approach to the victim or suspect in judicial incidents. In the forensic interview process, the issues related to the evaluation of the reliability of the child’s statement, the knowledge, skills, experiences, and needs of the forensic interviewers, the interview environment and conditions are important issues. In this direction, the aim of our research was trying to create a descriptive framework for the competence and effectiveness of forensic interviewing through qualitative analysis. Forensic interviewers from 3 different cities with forensic interview experience were selected in the study. Six forensic interviewers were employed in the study. Semi-structured interviews were conducted with the interviewees by using the interview form prepared in accordance with the working areas and interview processes of the forensic interviewers, and the interview records were evaluated using Interpretive Phenomenological Analysis (IPA). As a result of the examination of the interviews, eight repetitive themes were determined and concrete quotations from the discourses of the participants were given for each top theme. The results obtained are discussed in the literature. © 2023 Association of Clinical Psychology Research. All rights reserved.
Territorial Stigmatization as a Process of Bio Politics: The Case of Hacihusrev
(Middle East Technical University, 2018) Yilgur, Egemen
This paper discusses the stigmatization of Hacihusrev Neighborhood as a criminal area utilizing concepts borrowed from Agamben's understanding of bio-politics and the territorial stigmatization of Wacquant. The stigmatization of Hacihusrev Neighborhood, where peripatetic Roma groups as homo sacers reduced to 'bare life' had settled, occurred by means of the popular narrative produced by the mass media of the era. The manipulative representation of the social transformation occurring in the neighborhood turned it into a place where the exception became the rule. There are two different late-peripatetic groups in Hacihusrev Neighborhood. Roma tobacco workers, who came to the neighborhood during the Turk-Greek Population Exchange of 1923-24, had had an intense experience of waged occupation due to massive labor demand in the geography from which they came, late Ottoman Macedonia. Roma tobacco workers thus became a part of a mainstream social process, participating in waged occupations and in the leftist politics of the era and so pushed the limits of the area in which the peripatetics had been placed historically by means of legal pretexts and social relations. The other late-peripatetics, who came to the neighborhood mainly after 1950 from Bursa and its surroundings, had almost no opportunity for waged occupations. Excluded from the mainstream social relations, they were forced to be a part of criminal activities. Popular crime narratives in the media in the 1960s increased the visibility of the late-peripatetics from Bursa and rendered the Roma tobacco workers invisible. Thus, Hacihusrev Neighborhood was perceived as the natural habitat of criminal suspects. The stigma that surrounded the neighborhood in this process imprisoned the Roma tobacco workers in the very area where they had partly escaped before and their historical distinctiveness as a productive force became less certain. This paper aims to reveal the mechanisms of the stigmatization process through content analysis of the related news published between 1930-2009 in Milliyet and Cumhuriyet newspapers, the review of relevant literature, and the data collected during field research.

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