Browsing Scopus İndeksli Yayınlar Koleksiyonu by Department "Fakülteler, İşletme Fakültesi, Yönetim Bilişim Sistemleri Bölümü"
Now showing items 81-100 of 104
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Post outage bus voltage calculations for double branch outages
(IEEE, 2012)Secure operation of electrical power systems is vital hence fast and accurate post-outage state calculations are important for contingency analysis. Contingency analysis includes simulations of both the single and double ... -
Post-outage state estimations for outage management
(IFAC Secretariat, 2011)Real time outage information is required to the utility operators for outage management process. In addition to some basic information regarding the outage post-outage system status will help to improve the response to ... -
Power flow using thread programming
(2011)Power flow problem which is one of the most important applications in power system is solved using OpenMP Application Program Interface (API) a thread based programming technique for the shared memory programming environments. ... -
A preconditioner for transient stability time domain simulation
(2011)Transient Stability analysis which is one of the most important tasks of power system dynamic security analysis determines the dynamic behaviour of the power system after a large disturbance. Differential and algebraic ... -
Random CapsNet forest model for imbalanced malware type classification task
(Elsevier, 2021)Behavior of malware varies depending the malware types, which affects the strategies of the system protection software. Many malware classification models, empowered by machine and/or deep learning, achieve superior ... -
A Recommender Model Based on Trust Value and Time Decay Improve the Quality of Product Rating Score in E-commerce Platforms
(IEEE, 2017)Most of the existing products rating score algorithms do not take fake accounts and time decay of users' ratings into account when creating the list of recommendations. The trust values and the time decay of users' ratings ... -
Semantic and syntactic interoperability for agricultural open-data platforms in the context of IoT using crop-specific trait ontologies
(MDPI AG, 2020)In recent years, Internet-of-Things (IoT)-based applications have been used in various domains such as health, industry and agriculture. Considerable amounts of data in diverse formats are collected from wireless sensor ... -
Semi-Centralized Control of Distributed Generation in Smart Grids
(IEEE, 2018)This paper proposes a semi-centralized intelligent control approach for voltage regulation in distribution grids based on sensitivity calculations. The model checks the voltage magnitudes of each end of each lateral in the ... -
Social Media Adoption: A Process-Based Approach
(Taylor & Francis Inc, 2016)This research conceptualizes and measures social media adoption (SMA) of companies with a process-based approach and explains its antecedents of micro- and macro-environment size and ownership as well as its consequence ... -
Sparsity Preserving Computation for Spectral Projectors
(Amer Inst Physics, 2011)Several areas of applications such as model order reduction preconditioner design and eigenvalue problems for spectral projectors can be found in the literature. In this paper a fast and sparsity preserving approach for ... -
A sparsity-preserving spectral preconditioner for power flow analysis
(TUBITAK Scientific & Technical Research Council Turkey, 2016)Due to the ever-increasing demand for more detailed and accurate power system simulations the dimensions of mathematical models increase. Although the traditional direct linear equation solvers based on LU factorization ... -
A spectral divide and conquer method based preconditioner design for power flow analysis
(2010)Power system simulations most of the time require solution of a large sparse linear system. Traditional methods such as LU decomposition based direct methods are not suitable for parallelization in general. Thus Krylov ... -
Strategic Early Warning System for the French milk market: A graph theoretical approach to foresee volatility
(Elsevier, 2017)This paper presents a new approach for developing a Strategic Early Warning System aiming to better detect and interpret weak signals. We chose the milk market as a case study in line with the recent call from the EU ... -
Sustainable and responsible business: the renewed EU strategy 2011-2014 for corporate social responsibility
(Int Business Information Management Assoc-IBIMA, 2012)Corporate social responsibility (CSR) refers to companies that voluntarily go beyond what the law requires in order to achieve social and environmental objectives during the course of their daily business activities. The ... -
A Sustainable Multi-Layered Open Data Processing Model For Agriculture: IoT Based Case Study Using Semantic Web For Hazelnut Fields
(ASTES Publishers, 2020)In recent years, several projects which are supported by information and communications technologies (ICT) have been developed in the agricultural domain to promote more precise agricultural activities. These projects ... -
Towards Faster Branch Outage Simulations Using Simulated Annealing and Parallel Programming
(IEEE, 2009)Contingency studies such as branch outage and generator outage are among important studies of energy management centers operations. Branch outage modeling on the other hand is one of the basic steps of post-outage state ... -
Trends in social media application: The potential of Google+ for education shown in the example of a bachelor's degree course on marketing
(Springer, 2011)Google Plus has the potential to improve students' collaboration through circles conduct research for projects with sparks improve the student-instructor relationship by using this kind of social media to get in touch with ... -
Two-dimensional inverse quasilinear parabolic problem with periodic boundary condition
(Taylor & Francis Ltd, 2019)In this study we consider a coefficient problem of a quasi-linear two-dimensional parabolic inverse problem with periodic boundary and integral over determination conditions. We prove the existence uniqueness and continuously ... -
Two-layer earth structure parameter estimation and seasonal analysis
(IEEE, 2018)The determination of soil parameters is an important topic regarding the safe and efficient design of electrical grounding systems as well as the accurate calculation of the per-unit-length parameters of overhead transmission ... -
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy
(Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2020)Unsupervised anomaly detection for spatio-temporal data has extensive use in a wide variety of applications such as earth science, traffic monitoring, fraud and disease outbreak detection. Most real-world time series data ...