Kösemen, Cem

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Profile URL
https://gcris.yasar.edu.tr/handle/123456789/12726
Name Variants
Cem Kösemen
Job Title
Araş.Gör.
Email Address
Main Affiliation
01.01.09.01. Bilgisayar Mühendisliği Bölümü
Status
Former Staff
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Scopus Author ID
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WoS Researcher ID
KGT-8642-2024

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Documents

7

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23

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2

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WoS Citation Count

2

Scopus Citation Count

1

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0

WoS Citations per Publication

1.00

Scopus Citations per Publication

0.50

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0

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3rd International Conference on Computer Science and Engineering UBMK 20181
4th International Conference on Computer and Technology Applications ICCTA 20181
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    Conference Object
    Citation - WoS: 2
    Citation - Scopus: 1
    The Pseudorandom Number Generator Generation Method with Genetic Programming for Lightweight Devices
    (Institute of Electrical and Electronics Engineers Inc., 2018) Cem Kösemen; Ömer Aydin; Gokhan Dalkiltc; Aydin, Omer; Dalkilic, Gokhan; Aydm, Omer; Dalklhc, Gokhan; Kosemen, Cem
    In this research a genetic programming (GP) method is proposed for producing pseudorandom number generators (PRNG) for lightweight devices especially wireless identification and sensing platform (WISP) family devices. These PRNGs are produced with genetic programming methods using bit-entropy and serial correlation coefficient calculation as the fitness function. Qualities of these PRNGs are tested with the NIST statistical test suite that is a comprehensive tool that evaluates the statistical quality of the output of given PRNG. In addition a set of PRNG is generated with this GP method and the results are examined statistically. © 2019 Elsevier B.V. All rights reserved.
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    Conference Object
    Automatic music generation by true random numbers for Turkish makams
    (Institute of Electrical and Electronics Engineers Inc., 2018) İsmail Hakkı Parlak; Cem Kösemen
    In this paper we describe a cloud hosted - mobile first system which generates music for Turkish makams driven by hardware generated true random numbers. Random numbers are fed into system for determining the notes and note lengths of the song in chosen makam and tempo with chosen instruments and percussion. This system can generate completely random or musical compositions according to user preferences even though its aim is not imitating the past genius composers and compose perfectly musical pieces. The experimental results show that this composition model can produce completely random or slightly artistic music having characteristics of Turkish makam music hence introduce inspiration and entertainment to Turkish makam music enthusiasts. © 2018 Elsevier B.V. All rights reserved.