Dalkiliç, Hakan

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Profile URL
https://gcris.yasar.edu.tr/handle/123456789/13123
Name Variants
Job Title
Dr.Öğr.Üyesi
Email Address
Main Affiliation
01.01.13.06. Bilgisayar Destekli Tasarım ve Animasyon Programı
Status
Current Staff
Website
ORCID ID
0000-0003-1678-4295
Scopus Author ID
55203537500
Turkish CoHE Profile ID
Google Scholar ID
3tdhHSkAAAAJ
WoS Researcher ID
IZQ-2257-2023
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hakan.dalkilic.jpg (9.02 KB)

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
0
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QUALITY EDUCATION4
QUALITY EDUCATION
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GENDER EQUALITY5
GENDER EQUALITY
0
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
1
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
0
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INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
0
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
1
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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CLIMATE ACTION13
CLIMATE ACTION
0
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LIFE BELOW WATER14
LIFE BELOW WATER
0
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LIFE ON LAND15
LIFE ON LAND
0
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
Documents

6

Citations

19

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3

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Documents

4

Citations

15

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Scholarly Output

4

Articles

2

Views / Downloads

0/0

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

4

Scopus Citation Count

7

Patents

0

Projects

0

WoS Citations per Publication

1.00

Scopus Citations per Publication

1.75

Open Access Source

1

Supervised Theses

0

JournalCount
6th International Congress on Human-Computer Interaction Optimization and Robotic Applications HORA 20241
9th International Conference on Computer Science and Engineering UBMK 20241
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi1
Textile Research Journal1
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Now showing 1 - 4 of 4
  • Thumbnail Image
    Conference Object
    Fuzzy Logic Supported Tracking of Elderly People Moving Away From Living Space
    (Institute of Electrical and Electronics Engineers Inc., 2024) Oğuz Gora; Hakan Dalkiliç; Gora, Oğuz; Dalkılıç, Hakan
    Elderly people living alone at home may need to move away from their homes when they carry out their daily activities. In some cases they may have difficulty remembering the location they came from in order to return home again. In order to prevent elderly people from getting lost if they move a certain distance away from the area where they live their location can be determined with the support of technological opportunities. Thanks to wearable device technologies relatives of elderly people can easily access their locations with the support of mobile applications. In this study by using Internet of things devices and Fuzzy logic algorithm a system that provides a warning on the mobile application used by the relatives if the elderly person moves away from the living area at a certain distance was proposed. © 2024 Elsevier B.V. All rights reserved.
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    Conference Object
    Citation - Scopus: 1
    Solar IoT: Monitoring the Orientation and Electrical Parameters of the Solar Panel
    (Institute of Electrical and Electronics Engineers Inc., 2024) Hakan Dalkiliç; Oğuz Gora; Dalkiliç, Hakan; Gora, Oǧuz; E. Adali
    In recent years the use of solar energy from renewable energy sources has been increasing. Solar energy can be used directly for electricity and heat generation as well as for small-scale use in smart cities such as traffic lights city lighting vehicle charging stations. The Internet of Things enables remote monitoring and control of solar energy systems diagnosis of faults that may occur in the system and increasing system efficiency. The energy production of the system can be monitored depending on the time of day and if solar tracking systems are applied tracking angles can be monitored too. In this study the electrical parameters of a solar panel such as voltage current values orientation of the solar panel and the light intensity in the outdoor environment were recorded in the cloud storage area by sensors. The data obtained from all sensors are evaluated and preprocessed by the microcontroller. These collected data are transferred to comparable graphs under two different light intensities. The proposed work is an example of an application that if scaled up can be used in monitoring larger-scale systems where solar panels can be grouped in series and parallel. The novel contribution of the study is to evaluate the basic electrical parameters and orientation of solar panels together and to monitor the faults (voltage current solar tracking system induced faults) caused by these characteristics. © 2025 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Article
    Hassas Tarımda Nesnelerin İnterneti Destekli Akıllı Traktör ile Zirai İlaçlama ve Gübreleme
    (2024) Dalkılıç, Hakan; Özcanhan, Mehmet
    Today, agricultural activities continue their development with technological innovations. The concept of precision agriculture emerges with the use of information and communication technologies by creating advanced systems in agriculture. IoT technologies, in which objects and sensors communicate with each other via the Internet, support the use of precision agriculture. It becomes possible to obtain more efficient results by increasing the effectiveness of the studies in the field of agriculture, and to obtain higher quality products with the speed and continuity of information exchange. It is possible to carry out the spraying and fertilization processes in the fields more quickly and effectively by using the automation system, with the Internet of Things devices. In this way, it can be ensured that the time, location and amount of spraying and fertilization are under control with electronic equipment. With the study, a smart tractor prototype with a tablet on which internet of things devices are used has been created. A mobile application was developed to receive information from the global positioning system (GPS) via the tablet on the prototype and to enable the tractor to navigate over the designated area. The created smart tractor provides spraying and fertilization by navigating the area specified on the map in line with the GPS information it collects, or by directing it via the mobile application.
  • Thumbnail Image
    Article
    Citation - WoS: 4
    Citation - Scopus: 6
    Wireless transmission of vital body data and ambient magnetic field with wearable IoT device attached smart textile
    (SAGE Publications Ltd, 2025) Hakan Dalkiliç; Hakan Özdemir; Mehmet Hilal Özcanhan; Özdemir, Hakan; Dalkılıç, Hakan; Özcanhan, Mehmet Hilal
    The use of smart textiles is expanding. The wearer’s data are transferred to the Cloud by a mobile device and shared with authorized parties. The study aims to monitor continuously and share our wearable smart textile’s heartbeat body temperature and the surrounding magnetic field data providing early intervention before negative health events occur or a high magnetic field is of concern to its wearer. A heartbeat sensor a temperature sensor and an ESP32 module with a built-in Hall effect sensor were integrated with a special conductive wire woven fabric. The data measured by the sensors were sent to the cloud server wirelessly by the ESP32. Our custom-made software analyzes the collected data with statistical methods enabling the generation of predictions and early warnings. The generated reports can be sent to the smart textile user doctors and authorized third-party health institutions and relevant magnetic field authorities. Our study shows that the body temperature reported by the designed smart textile has less than a 2.0% error compared with the actual value. On the other hand the reported heartbeat has a 11.0% error as it largely depends on sensor quality and placement location. In addition to these continuous monitoring of the ambient magnetic field has been achieved with smart textiles. Our smart textile design sends the wearer’s body temperature heartbeat and surrounding magnetic field information to a cloud server automatically and wirelessly. Our custom-made software and mobile application use the data to provide early warnings and live reports on users’ mobile devices. © 2025 Elsevier B.V. All rights reserved.