Gökçay, Erhan

Profile Picture
Profile URL
https://hdl.handle.net/20.500.14411/7011
Name Variants
Gokcay, E
E.,Gökçay
Gökçay,E.
E., Gökçay
G.,Erhan
Gokcay E.
Goekcay, Erhan
Gokcay, Erhan
Erhan, Gokcay
Gökçay, Erhan
E., Gokcay
GOKCAY, E
Erhan, Gökçay
Gokcay,E.
Gökçay E.
G., Erhan
E.,Gokcay
Job Title
Doktor Öğretim Üyesi
Email Address
erhan.gokcay@atilim.edu.tr
Main Affiliation
Software Engineering
Status
Website
ORCID ID
0000-0002-4220-199X
Scopus Author ID
7004217859
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
JOK-0734-2023

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
1
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
0
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents

16

Citations

395

h-index

7

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Documents

15

Citations

293

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Scholarly Output

21

Articles

6

Views / Downloads

98/717

Supervised MSc Theses

6

Supervised PhD Theses

2

WoS Citation Count

36

Scopus Citation Count

52

Patents

0

Projects

0

WoS Citations per Publication

1.71

Scopus Citations per Publication

2.48

Open Access Source

4

Supervised Theses

8

JournalCount
Multimedia Tools and Applications3
2017 IEEE 1st Ukraine Conference on Electrical and Computer Engineering, UKRCON 2017 - Proceedings -- 1st IEEE Ukraine Conference on Electrical and Computer Engineering, UKRCON 2017 -- 29 May 2017 through 2 June 2017 -- Kyiv -- 1317631
24th IEEE International Conference on Electronics, Circuits and Systems (ICECS) -- DEC 05-08, 2017 -- Batumi, GEORGIA1
7th International Conference on Cloud Computing and Services Science (CLOSER) -- APR 24-26, 2017 -- Porto, PORTUGAL1
8th International Conference on Cloud Computing and Services Science (CLOSER) -- MAR 19-21, 2018 -- Funchal, PORTUGAL1
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Author: Gokcay, ErhanEnd date: 2019

Scholarly Output Search Results

Now showing 1 - 4 of 4
  • Thumbnail Image
    Conference Object
    Citation - WoS: 1
    Citation - Scopus: 2
    An on Demand Virtual CPU Arhitecture based on Cloud Infrastructure
    (Scitepress, 2017) Gokcay, Erhan
    Cloud technology provides different computational models like, including but not limited to, infrastructure, platform and software as a service. The motivation of a cloud system is based on sharing resources in an optimal and cost effective way by creating virtualized resources that can be distributed easily but the distribution is not necessarily parallel. Another disadvantage is that small computational units like smart devices and less powerful computers, are excluded from resource sharing. Also different systems may have interoperability problems, since the operating system and CPU design differs from each other. In this paper, an on demand dynamically created computational architecture, inspired from the CPU design and called Cloud CPU, is described that can use any type of resource including all smart devices. The computational and data transfer requirements from each unit are minimized. Because of this, the service can be created on demand, each time with a different functionality. The distribution of the calculation over not-so-fast internet connections is compensated by a massively parallel operation. The minimized computational requirements will also reduce the interoperability problems and it will increase fault tolerance because of increased number of units in the system.
  • Thumbnail Image
    Conference Object
    An Iot Application for Locating Victims Aftermath of an Earthquake
    (Ieee, 2017) Karakaya, Murat; Sengul, Gokhan; Gokcay, Erhan
    This paper presents an Internet of Things (IoT) framework which is specially designed for assisting the research and rescue operations targeted to collapsed buildings aftermath of an earthquake. In general, an IoT network is used to collect and process data from different sources called things. According to the collected data, an IoT system can actuate different mechanisms to react the environment. In the problem at hand, we exploit the IoT capabilities to collect the data about the victims before the building collapses and when it falls down the collected data is processed to generate useful reports which will direct the search and rescue efforts. The proposed framework is tested by a pilot implementation with some simplifications. The initial results and experiences are promising. During the pilot implementation, we observed some issues which are addressed in the proposed IoT framework properly.
  • Thumbnail Image
    Conference Object
    Effect of Secret Image Transformation on the Steganography Process
    (Ieee, 2017) Buker, Mohamed; Tora, Hakan; Gokcay, Erhan
    Steganography is the art of hiding information in something else. It is favorable over encryption because encryption only hides the meaning of the information; whereas steganography hides the existence of the information. The existence of a hidden image decreases Peak Signal to Noise Ratio (PSNR) and increases Mean Square Error (MSE) values of the stego image. We propose an approach to improve PSNR and MSE values in stego images. In this method a transformation is applied to the secret image, concealed within another image, before embedding into the cover image. The effect of the transformation is tested with Least Significant Bit (LSB) insertion and Discrete Cosine Transformation (DCT) techniques. MSE and PSNR are calculated for both techniques with and without transformation. Results show a better MSE and PSNR values when a transformation is applied for LSB technique but no significant difference was shown in DCT technique.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 2
    A Stream Clustering Algorithm Using Information Theoretic Clustering Evaluation Function
    (Scitepress, 2018) Gokcay, Erhan
    There are many stream clustering algorithms that can be divided roughly into density based algorithms and hyper spherical distance based algorithms. Only density based algorithms can detect nonlinear clusters and all algorithms assume that the data stream is an ordered sequence of points. Many algorithms need to receive data in buckets to start processing with online and offline iterations with several passes over the data. In this paper we propose a streaming clustering algorithm using a distance function which can separate highly nonlinear clusters in one pass. The distance function used is based on information theoretic measures and it is called Clustering Evaluation Function. The algorithm can handle data one point at a time and find the correct number of clusters even with highly nonlinear clusters. The data points can arrive in any random order and the number of clusters does not need to be specified. Each point is compared against already discovered clusters and each time clusters are joined or divided using an iteratively updated threshold.