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Browsing Yazılım Mühendisliği / Software Engineering by Author "Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Yazılım Mühendisliği Bölümü"

Now showing items 1-20 of 28

A method for the Computational Frequency Sweep Analysis of Nonlinear ODEs using GPU Acceleration

Akgün, Devrim; Ilyas Cankaya; Sezgin Kacar (TAYLOR & FRANCIS LTD, 2019)

Computational sweep analysis of nonlinear ODEs (ordinary differential equations) is of importance in engineering system analysis and design. Sweep analyses usually demand intense computational power according to the number ...
A practical parallel implementation for TDLMS image filter on multi-core processor

Akgün, Devrim (SPRINGER HEIDELBERG, 2017)

In this study, parallel implementation of adaptive image filtering algorithm based on two-dimensional least mean square method (TDLMS) where the weights are continuously adjusted during filtering was realized by proposed ...
A real-time virtual sculpting application by using an optimized hash-based octree

Çit, Gülüzar; Ayar, Kayhan; Öz, Cemil (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2016)

Creation durations of a traditional octree, a hash-based octree, and our optimized hash-based octree are compared. Tree traversal and surface reconstruction times of our optimized hash-based octree approach are also compared ...
A study on the development of a compensation method for humidity effect in QCM sensor responses

Mumyakmaz, Bekir; Özmen, Ahmet; Ebeoglu, Mehmet A.; Cihat Tasaltin; Ilke Gurol (ELSEVIER SCIENCE SA, 2010)

In this study, humidity influence on quartz crystal microbalance (QCM) sensor responses during gas applications is investigated. The goal is to search a compensation method to remove humidity influence over the QCM sensor ...
A switchable approach to large object allocation in real-time Java

Şahin, Veysel Harun; Kocabıçak, Ümit (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2016)

Over the last 20 years object-oriented programming languages and managed run-times like Java have been very popular because of their software engineering benefits. Despite their popularity in many application areas, they ...
A symbolic algorithm for the automatic computation of multitone-input harmonic balance equations for nonlinear systems

Akgün, Devrim; Çankaya, İlyas (SPRINGER, 2009)

A symbolic algorithm is developed for the automatic generation of harmonic balance equations for multitone input for a class of nonlinear differential systems with polynomial nonlinearities. Generalized expressions are ...
A template-based code generator for web applications

; Burak Uyanik; Şahin, Veysel Harun (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2020)

The importance and usage of web applications grow every day. Today from small businesses to large-scale corporations, many institutions prefer web applications for both their internal and external services. Code size and ...
Accelerated method for the optimization of quadratic image filter

Akgün, Devrim (IS&T & SPIE, 2019)

Quadratic image filter involves the second-order multiplications of an input image mask in addition to linear terms, and determining the weights of the quadratic filter using optimization methods requires intense computational ...
An Accelerated Method for Determining the Weights of Quadratic Image Filters

Suleyman Uzun; Akgün, Devrim (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018)

Quadratic filters are usually more successful than linear filters in dealing with nonlinear noise characteristics. However, determining the proper weights for the success of quadratic filters is not straightforward as in ...
An entropy-based algorithm for data elimination in time-driven software instrumentation

Özmen, Ahmet (ELSEVIER SCIENCE INC, 2009)

While monitoring, instrumented long running parallel applications generate huge amount of instrumentation data. Processing and storing this data incurs overhead, and perturbs the execution. A technique that eliminates ...
Anesthetic level prediction using a QCM based E-Nose

H. M. Saraoglu; Özmen, Ahmet; M. A. Ebeoglu (SPRINGER, 2008)
Coarse Segmentation With GDD Clustering Using Color and Spatial Data

; Emre Gungor; Özmen, Ahmet (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)

Segmentation is a challenging and important task in image processing while developing vision based decision support systems. Color and brightness are widely used properties for extracting segments, however color information ...
Daily basis mid-term demand forecast of city natural gas using univariate statistical techniques

; Akpınar, Mustafa; Yumuşak, Nejat (GAZI UNIV, FAC ENGINEERING ARCHITECTURE, 2020)

City distribution companies or companies with high consumption are required to report monthly consumption demand forecasts for the year ahead and year based daily consumption demand forecasts in natural gas sector. This ...
Day-Ahead Natural Gas Demand Forecasting Using Optimized ABC-Based Neural Network with Sliding Window Technique: The Case Study of Regional Basis in Turkey

Akpınar, Mustafa; Adak, Muhammed Fatih; Yumuşak, Nejat (MDPI, 2017)

The increase of energy consumption in the world is reflected in the consumption of natural gas. However, this increment requires additional investment. This effect leads imbalances in terms of demand forecasting, such as ...
Design of a Portable E-Nose Instrument for Gas Classifications

Özmen, Ahmet; Ercan Dogan (IEEE, 2009)

In this paper, a portable instrument is developed for a qualitative discrimination among different gas samples. The system is able to implement various gas measurement protocols entered by a user, display incoming online ...
Determination of volatile organic compounds in air by a surface acoustic wave array

Özmen, Ahmet; Mehmet Ali Ebeoglu; Bekir Mumyakmaz; Balta, Deniz (TAYLOR & FRANCIS INC, 2016)

This article reports the design and performance of a portable volatile organic compound detection system implemented with a surface acoustic wave array. The system employed electrospray technology for the determination of ...
Distance and density based clustering algorithm using Gaussian kernel

Emre Gungor; Özmen, Ahmet (PERGAMON-ELSEVIER SCIENCE LTD, 2017)

Clustering is an important field for making data meaningful at various applications such as processing satellite images, extracting information from financial data or even processing data in social sciences. This paper ...
EDU-DRM: A Digital Rights Management (DRM) system for K-12 education

Özmen, Ahmet; Şanslı, Ahmet; Şahin, Veysel Harun (SHARIF UNIV TECHNOLOGY, 2019)

The technological achievements in digital publishing have made paperless education possible even in K-12 education. Aside from high bandwidth distribution infrastructure, the main difficulties of digital publishing are ...
Finding the composition of gas mixtures by a phthalocyanine-coated QCM sensor array and an artificial neural network

Özmen, Ahmet; F Tekce; Ma Ebeoglu; C Tasaltin; Zz Ozturk (ELSEVIER SCIENCE SA, 2006)

This paper presents a system, which is made of an array of eight phthalocyanine-coated QCM sensors and an ANN to find the corresponding composition of a gas mixture. The digital data collected from the sensor responses ...
Frequency response investigations of multi-input multi-output nonlinear systems using automated symbolic harmonic balance method

Akgün, Devrim; Çankaya, İlyas (SPRINGER, 2010)

The frequency response characteristics of MIMO systems are investigated by using harmonic balance equations. For this purpose, the algorithm for the automatic generation of harmonic balance equations is extended to include ...