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Browsing Makale Koleksiyonu by Author

Browsing Makale Koleksiyonu by Author "Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Yazılım Mühendisliği Bölümü"

Now showing items 1-10 of 10

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 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 ...
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 ...
Deep learning-based face analysis system for monitoring customer interest

Yolcu Öztel, Gözde; Öztel, İsmail; Çakar, Serap; Öz, Cemil (2019)
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 ...
Facial expression recognition for monitoring neurological disorders based on convolutional neural network

Yolcu Öztel, Gözde; Öztel, İsmail; Çakar, Serap; Öz, Cemil; Kannappan Palaniappan; Teresa E. Lever; Filiz Bunyak (SPRINGER, 2019)

Facial expressions are a significant part of non-verbal communication. Recognizing facial expressions of people with neurological disorders is essential because these people may have lost a significant amount of their ...
Naive forecasting of household natural gas consumption with sliding window approach

Akpınar, Mustafa; Yumuşak, Nejat (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2017)

Household consumption has a significant importance for natural gas wholesale companies. These companies make one-day-ahead forecasting daily. However, there are penalties depending on the error of the estimates. These ...
Quantitative information extraction from gas sensor data using principal component regression

Özmen, Ahmet; Bekir Mumyakmaz; Mehmet Ali Ebeoglu; Cihat Tasaltin; Ilke Gurol; Zafer Ziya Ozturk; Balta, Deniz (TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY, 2016)

Several experiments are conducted using two industrial gases (toluene and ethanol) to validate the approach. The new approach is also compared with two classic principal component regression (PCR) methods. The results show ...
Year Ahead Demand Forecast of City Natural Gas Using Seasonal Time Series Methods

Akpınar, Mustafa; Yumuşak, Nejat (MDPI, 2016)

Consumption of natural gas, a major clean energy source, increases as energy demand increases. We studied specifically the Turkish natural gas market. Turkey's natural gas consumption increased as well in parallel with the ...