OUR STUDIES and DETAILS

ISTANBUL GELISIM UNIVERSITY TECHNOLOGY TRANSFER OFFICE WORK LIST AND DETAIL OF WORKS

IGU has an open ear for all its students and staff who say "I have a project" and offers every opportunity to make those projects happen. Of the many patents and utility models filed by the University in 2017, 8 were created as a result of Technology and Transfer Office (TTO) research and development; the application has been filed, the form has gone through the compliance stage, and the research report is in preparation. Hardware support is provided for the project, patent and utility model studies that have emerged as a result of research studies by academics and students within the University.

Studies in Technology Transfer Office	Study Details
Flying Car- Tusi	In May 2018, manufacturing steps are taken for the flying car project, which shows how well Turkey and Istanbul Gelisim University use technological developments and can compete with countries with advanced technology in the world. Within the scope of the project, the mechanical laboratory within the university is actively used in the manufacturing process, which is integrated with the companies within the scope of university-industry cooperation. At the end of June, the main body of the Flying Car project is completed, and thus, the Flying Car project is no longer a dream but a real structure. In line with intensive efforts, the flight tests of the electronic equipment and the Flying Car project, whose 1.5-month safety test and improvement processes are completed depending on these tests, started in July. As of January 2019, work has been accelerated to complete Turkey's first flying car, with the bodywork produced in accordance with the design.
Eczamatic Project	The "Eczamatik" project was developed by Istanbul Gelisim University to provide an alternative solution to the problem of finding a pharmacy on duty. In a study conducted by the university, it is found that people in Turkey and around the world have difficulty finding a pharmacy on duty. To solve this problem, the Eczamatik (Pharmaceutical) project, in which medicines can be taken at any time of the day, is launched and a prototype is produced. The practical electronic pharmacy, which will be produced within the project, will serve 24 hours a day, 7 days a week. Citizens who have difficulty finding a pharmacy on duty will be able to obtain the medication they need by entering the information from the prescription issued by their doctor into Eczamatik. The system developed in this project aims to enable people to obtain medicines in places where there are no pharmacies and where it is difficult to find a pharmacy on duty; citizens will be able to see the price of the medicines, how much they cost in total, and pay by cash or credit card. With "Eczamatik" designed to be resistant to all kinds of stress, frequently needed medicines will be stored with urgency at the appropriate temperature and delivered to the buyer in the best possible way according to demand.
Babayiğit and Collision Avoidance System	The electric car project called "Babayiğit", prepared within the framework of Istanbul Gelisim University and supported by TUBITAK, breaks new ground by aiming to bring a solution to Istanbul's traffic. The "Babayiğit" project, prepared in 2014 with students and faculty from the university, uses a rear-wheel drive system and is powered by two lift motors located on the rear wheels. The mechanical infrastructure of the vehicle is made of aluminium and the outer body is made of carbon fibre material. Babayiğit, a two-seater vehicle, is a model that appeared on the line of classic cars and continues to win people's admiration. The "Collision Intensity Reduction" system, which reduces the severity of collisions in vehicles during an accident and aims to create a safer environment, was produced by Istanbul Gelisim University. The system project that reduces the severity of collision is the auxiliary braking system that works by itself at the moments when the probability of collision increases in vehicles, which makes it possible to significantly reduce the severity of collision. It is designed as an intelligent auxiliary braking system that can be placed in the desired area of the vehicle independently of the existing braking system to increase the braking capability of the vehicles. It is intended to increase the braking capability in addition to the already existing braking system. In this way, in the event of an accident, the severity of the collision should be reduced. The system is placed on the electric vehicle "Babayiğit", which has been produced entirely from the university's own funds in recent years. The project has been successfully carried out. The developments are continuing.
Walking Stick for the Visually Impaired	This project; It is a walking stick and road guidance system that enables visually impaired people to follow the route by giving an audible warning based on the information coming from the infrared sensors on the road controlled by microprocessor, located in the direction of the route whose starting and ending points are known. 30 Istanbul Gelisim University sahibinden.gelisim.edu.tr The project will develop both a new signage design and a new walking stick for visually impaired people. Officials from the Ministry of Family and Social Policies and the Accessibility Commission of the Istanbul Governorate visited the university and inspected the cane and other work done by Technology Transfer Team on site. Halis Kuralay , Deputy Provincial Director of the Ministry of Family and Social Policies, and his team tried out the project "Technological Walking Stick Design for the Visually Impaired" completed at Technology Transfer Office and conveyed their positive opinions and recommendations for its development.

IGU TTO UAM academic publication studies and details;

Academic Publication Type	Year of Publication	Title of Publication	Corresponding Author of the Publication	Broadcast Access Point
International Conference	2021	FACE AND EMOTION RECOGNITION USING DEEP LEARNING BASED ON COMPUTER VISION METHODS	Researcher Ali Çetinkaya	Click here
Journal Article	2021	EVALUATION OF THE SECURITY OF ENERGY SYSTEMS UNDER THE SCOPE OF CYBERSECURITY	Researcher Ali Çetinkaya	Click here
Journal Article	2021	RENEWABLE ENERGY RESOURCES IN TURKEY'S ENERGY GEOPOLITICS	Lecturer Umut Uz	Click here
Journal Article	2021	ANALYSIS OF WHETHER NEWS ON THE INTERNET IS REAL OR FAKE BY USING DEEP LEARNING METHODS AND THE TF-IDF ALGORITHM	Researcher Ali Çetinkaya	Click here
Journal Article	2020	IDENTIFICATION ANALYSIS AND REPORTING SYSTEM ON PEOPLE WİTH COVID-19 DIAGNOSIS WITH LOCAL BINARY PATTERNS HISTOGRAMS	Researcher Ali Çetinkaya	Click here
Journal Article	2020	ACCURACY ESTIMATION AND ANALYSIS OF THE MODEL DEVELOPED ON THE FASTER R-CNN EVOLUTIONARY NEURAL NETWORK USING DEEP LEARNING METHODS: OBJECT DETECTION APPLICATION	Researcher Ali Çetinkaya	Click here
Master Thesis	2019	THE PRODUCTION OF ELECTRONIC PHARMACEUTICAL / IRRIGATION SYSTEM WITH AN UNMANNED AERIAL VEHICLE IN HEXACOPTER	Lecturer Umut Uz	Click here
Master Thesis	2019	DESIGN AND ANALYSIS OF ELECTRIC DUCTED FAN MOTOR POWERED AIR TO SURFACE CRUISE MISSILE AND PRODUCTION WITH 3D PRINTER	Researcher Furkan Yılmaz	Click here
Master Thesis	2019	DESIGN, ANALYSIS AND PRODUCTION OF TWO AXIS FOOD FLUID MACHINE	Researcher Muhammed Ömer Erdoğan	Click here
Journal Article	2019	HIVE TRACKING AND EARLY WARNING SYSTEM BY USING EMBEDDED SYSTEM TECHNOLOGY	Lecturer Tuğba Saray Çetinkaya	Click here
Journal Article	2019	EMERGENCY AUTONOMOUS ROBOT DESIGN with FUZZY LOGIC CONTROL APPROACH	Researcher Ali Çetinkaya	Click here
Journal Article	2019	CONTROLLING A ROBOTIC ARM USING HANDWRITTEN DIGIT RECOGNITION SOFTWARE	Researcher Ali Çetinkaya	Click here
Journal Article	2019	CONTROLLING A ROBOTIC ARM USING HAND RECOGNITION SOFTWARE	Researcher Ali Çetinkaya	Click here
IEEE Conference	2017	MONITORING OF MINER BY RF SIGNAL	Lecturer Tuğba Saray Çetinkaya	Click here
IEEE Conference	2017	AUTOMATIC SIGNAGE READER WITH OPTICAL CHARACTER RECOGNITION METHOD	Lecturer Tuğba Saray Çetinkaya	Click here
International Conference	2017	FUZZY POSITION CONTROL APPROACH FOR AUTONOMOUS ROBOT CONTROLLER	Researcher Ali Çetinkaya	Click here

Academic Study Details;

FACE AND EMOTION RECOGNITION USING DEEP LEARNING BASED ON COMPUTER VISION METHODS

Deep learning studies are among the discipline that are rapidly increasing and developing today. Especially after the concept of big data enters our lives, deep learning methods have used to process the data. In the study, it has aimed to detect the face on the picture determined by the user and to conduct emotional analysis and gender determination with the deep learning methods of the detected face. Viola-Jones algorithm has used for face recognition. “Mini Xception” model of Convolutional Neural Networks (CNN) has used for emotion analysis and gender detection. Estimation rates have measured with 18 different experiments performed. The most successful emotion recognition has measured as 93,11% and the most successful gender recognition has measured as 90,75%. Experiments within the study have supported by visual studies.

EVALUATION OF THE SECURITY OF ENERGY SYSTEMS UNDER THE SCOPE OF CYBERSECURITY

That the dependency on Information and Communication Technologies (ICT) and increasingly on the Internet has made it essential to ensure cyber security in these systems. Cyber security vulnerabilities that may occur in information technologies used in energy systems carries the risks of stopping or failing of energy services, large-scale economic damage, disruption of public order, loss of life and even endangering the national security of the countries. The aim of this research is to outline cyber security concepts in energy systems, to investigate cyber attacks against energy systems, to reveal the importance of cyber security in critical infrastructures, especially the critical energy infrastructure managed by SCADA, and finally to increase current awareness. Descriptive method was employed in the research. The information obtained from the research shows that ensuring cyber security in energy systems is of vital importance. Among the suggestions made by the research, the importance of using national cyber security information technology products that have been subjected to national cyber security tests and developed and tested by national security institutions that both have accreditation and certification in the energy sector in Turkey was particularly emphasized.

RENEWABLE ENERGY RESOURCES IN TURKEY'S ENERGY GEOPOLITICS

There has been rapid progress in the field of science and technology. Accordingly, energy is gaining strategic importance. However, it is not possible to isolate oneself from energy to sustain development. Energy has entered as the fourth element in the factors of production such as labor, capital and raw materials. Countries consider easy, cheap, uninterrupted and reliable supply and control of energy needed for scientific and industrial development as a matter of national security. Regime changes or wars may be considered for both production and transmission of energy, which is the subject of strategic competition internationally. Just as important as owning energy resources is ensuring their flow to consumer markets. In this context, fossil fuels such as oil, coal or natural gas are being replaced by renewable energy sources today and in the future.

ANALYSIS OF WHETHER NEWS ON THE INTERNET IS REAL OR FAKE BY USING DEEP LEARNING METHODS AND THE TF-IDF ALGORITHM

Internet use has become increasingly widespread nowadays. In addition, there is a significant increase in the amount of text content produced in digital media. However, the accuracy and inaccuracy of the news we read and the content produced in a large number are also unknown. In this study, classification and analysis of whether the news is real or not were done by using Deep Learning methods. For the English news, the data set created by Katharine Jarmul was used. The data set contained a total of 6336 news items. The distribution of this data set, which consisted of political and political news, was 50% fake and 50% real. The method used in text classification was Term Frequency - Inverse Document Frequency (TF-IDF). The classification was made with the data set used and 93.88% success and 6.12% error were obtained as a result of the analysis.

IDENTIFICATION ANALYSIS AND REPORTING SYSTEM ON PEOPLE WİTH COVID-19 DIAGNOSIS WITH LOCAL BINARY PATTERNS HISTOGRAMS

Today, it is aimed to develop a system different from other facial recognition systems by adding functionality to facial recognition systems used in many areas. Recently, with the Covid-19 pandemic, curfews and difficulties in controlling these bans have been taken into consideration and this system has been developed to reduce. In the system, a study has been carried out in which the person diagnosed with Covid-19 registered in the data set can be e-mailed to the authorized person or persons upon visualization by the camera. The designed software first detects the face with the Haar-Cascades classifier and then uses LBPH (Local Binary Patterns Histograms) to perform facial recognition. This is done by tagging each pixel of the introduced image by mapping it to the other pixels around it. The result of this labeling is converted to a binary number system and stored. It tries to recognize the face by comparing the images it receives from the camera in real time with this number. In the classification process, if the person has already been registered in the data set, he / she will be placed in the “red” colored frame. The classification is also enclosed in “green” coloured frames if not registered. The aim of this is to distinguish between the person with Covid-19 diagnosis and the healthy person. The success of the applications performed on the software was measured as %90 and the error was measured as %10.

ACCURACY ESTIMATION AND ANALYSIS OF THE MODEL DEVELOPED ON THE FASTER R-CNN EVOLUTIONARY NEURAL NETWORK USING DEEP LEARNING METHODS: OBJECT DETECTION APPLICATION

Deep learning, which is home to many subjects such as object recognition, image processing, forecasting, has become a human need. In this study, object recognition is performed using deep learning techniques. Faster R-CNN (Faster Region Based Convolutional Networks) Network has developed and 502 images in the study “Cup” data set has created. Some of this data set has used for testing and the other for training. After observing the ways in which the glass can be recognized and not recognized by conducting different experiments, suggestions have made on how to increase the accuracy prediction rate. The Python library Tkinter library has used when designing the interface. The image that is to be detected is taken into a frame after the operations done, and a photograph is recorded with the correct estimate of the percentage of the image. If the video is the image that will be detected, the video will be displayed on the screen, while the video will be played, and the web cam will instantly display the object in the image in the frame. In this study, which has performed using Object Detection API, we tried to find the epoch value that trains the model with different epoch values and makes the most accurate predictions. It has conducted using deep learning and Faster R-CNN on the data set generated over 18 separate experiments performed. In order to find the most successful prediction rate in the training process, experiments has conducted with different epoch numbers. A total of 100.000 Epoch's has achieved as a result of the education and the result of success is 0.97835 and loss ratio is 0.02165.

THE PRODUCTION OF ELECTRONIC PHARMACEUTICAL / IRRIGATION SYSTEM WITH AN UNMANNED AERIAL VEHICLE IN HEXACOPTER

In the mentioned thesis study, a hexacopter which can provide six rotor autonomous flight has been formed and automatic sprinkler or irrigation system adaptation designed according to the mechanism created has been realized. Based on this integrated system, data on test flights performed by hexacopter, which can perform six rotor flight, which can be created, have been obtained and in the light of these data, it is stated in the direction of the study. In order to perform normal flight or autonomous flight, auto pilot module (STM32F427 Cortex M4 core) was used. Through this module, AC motor controls, radio control signals processing and telemetry data are read. The software of the auto pilot in the system was carried out on the ArduPilot platform and the most suitable parameters were determined on this platform. According to the determined parameters, all data during the flight can be monitored instantly via the radio control equipment, ie the remote controller. In addition, Hexatar which is integrated with ArduPilot program has GPS, Altimeter, Barometer and all the data (position, height, direction) that are taken from these sensors can be followed on ArduPilot program.

DESIGN AND ANALYSIS OF ELECTRIC DUCTED FAN MOTOR POWERED AIR TO SURFACE CRUISE MISSILE AND PRODUCTION WITH 3D PRINTER

With the development of unmanned aerial vehicles in recent years, many of the developed countries have begun to replace the existing warplanes in defense industry inventories with unmanned fighter planes. New ammunition requirements have emerged for unmanned aerial vehicles that have just begun to enter the inventory of countries. The technical characteristics of unmanned aerial vehicles which are different from the current warplanes prevent the use of existing ammunition. Particularly, the limited useful load carrying capacity and low cruising speed of these new aircraft make it necessary to produce new ammunition. In this thesis, cruise missile design which has a working system which can be compatible for unmanned aerial vehicles in our country and which is not in the inventory of any country has been designed. The body construction of this cruise missile has been produced by using a 3D printer. An electric ducted motor is positioned to provide thrust force to the cruise missile. In addition to this, the fins that take force from the servo motors to determine the direction and the flight controller control these servo motors. The system is fully powered by electrical energy. Main battery and safety switch supplying main system. A second battery and a second safety switch that provide power to the electronic equipment are integrated into the body of the missile. The body consists of 4 blocks and can be removed by hand without any coupling elements and can be re-plugged.

DESIGN, ANALYSIS AND PRODUCTION OF TWO AXIS FOOD FLUID MACHINE

In culinary arts where human ability is needed, it is aimed to reduce labor force with the help of technology and reduce the error to zero. In this period when 3-axis printers are widespread, machines that can print more than one item are now produced instead of plastic. In the thesis, it is aimed to produce more series and fewer erroneous products by using two axis systems in the food sector without the need for business capability. The first part of the thesis contains literature survey, the second part contains the design of the engine, fluid flow unit and mechanical part used in the system. The third part includes the software part, and the fourth part contains the experimental tests of the machine designed for the production of sawdust and without sawdust. The working conditions of the coordinates (x, y) and liquid flow unit sent by the computer interface in real time on the designed machine are processed with micro controller software. Software is discussed in two sections. It is a micro controller software that allows control in a computer environment and control by the computer interface created. . Computer interface design is designed using the C# (C sahrp) language on the Visual Studio 2017 platform. In the design of micro controller software, Arduino software was also used. *Drawings made with the mouse on the machine computer interface or previously saved.Pankek sends the file-extension pankek data onto the microcontroller from the serial port communication point on which the micro controller card is connected to the computer. According to the data from the file, the mechanical structure with the pancake liquid reservoir actuates the air pump and transmits the liquid to the casting mouth. Step motors move the liquid on two axes to the heated table and presents the desired shape to the user. This is done with a card with a micro controller ATmega328. Mechanical structure of the machine the first axis, bearing with bearing shafts have a lever movement, while the second axis with belt system has a cast hole. According to similar projects, the one-arm heating table is taken and placed and the user is comfortable during the intervention, with the use of belts and beds integrated system to come to the fore and more stable operation is provided.

HIVE TRACKING AND EARLY WARNING SYSTEM BY USING EMBEDDED SYSTEM TECHNOLOGY

In this study, the high costs and theft of bee swashes and hives, natural disasters, based on losses caused by various environmental factors; A system that performs continuous monitoring of hive, monitoring environmental factors with various sensors, warning and position monitoring against theft status has been developed. The latitude and longitude data provided by the GY-NEO6MV2 GPS module, the data obtained from the DHT 11 humidity and temperature sensors, data from the ultrasonic distance sensor are transmitted through the 800L GSM module. Embedded System (ATMEGA2560 microcontroller) is used in the hardware section of this system. As a result, the data received by the programming of various sensors through this system are designed and sent as SMS to the desired phone number with the help of the GSM module. The software is triggered by the message sent to the SIM card in the system. According to the user's choice of internal temperature and humidity, external temperature and humidity, system location information is taken instantaneously. A separate trigger was created using the distance sensor. With this trigger, notification is automatically sent when motion is detected around the system. In addition to the system, the desired temperature and humidity threshold values have been defined and the other triggering triggered when these threshold values have been established.

EMERGENCY AUTONOMOUS ROBOT DESIGN with FUZZY LOGIC CONTROL APPROACH

In this study, the application of an autonomous fire extinguishing robot with a fuzzy controller approach was carried out. For this purpose, an autonomous robot which can provide motion is designed and reaching the target and controlling the position were aimed. The embedded system (Atmega2560) was used on the designed autonomous robot. Flame Sensor, Li-po battery, L298 Motor drive, DC motor, servo motor, digital compass sensor are used on this system. Robot is processing the position and route information through a fuzzy controller. As a result of the data obtained, flames created in the environment are detected by robot through the patrol and then the robot extinguishes the flames with its impeller and continues its patrol. As a result, the autonomous robot detects the flames considered as target point during the patrol task and the fuzzy controller is used to determine the distance to be taken and the direction with the digital compass.

CONTROLLING A ROBOTIC ARM USING HANDWRITTEN DIGIT RECOGNITION SOFTWARE

Repetitive tasks in the manufacturing industry is becoming more and more commonplace. The ability to write down a number set and operate the robot using that number set could increase the productivity in the manufacturing industry. For this purpose, our team came up with a robotic application which uses MNIST data set provided by Tensorflow to employ deep learning to identify handwritten digits. The system is equipped with a robotic arm, where an electromagnet is placed on top of the robotic arm. The movement of the robotic arm is triggered via the recognition of handwritten digits using the MNIST data set. The real time image is captured via an external webcam. This robot was designed as a prototype to reduce repetitive tasks conducted by humans.

CONTROLLING A ROBOTIC ARM USING HAND RECOGNITION SOFTWARE

With the increasing need of repetitive tasks in the manufacturing industry, robotic automation is becoming a necessity. In the steel industry, workers become less efficient over time, causing interruptions during assembly. Robotic automation is capable of operating at highest efficiency therefore increasing productivity in the steel industry. The robot will be able to pick up and drop metallic object with the help of the electromagnet present on the robotic arm. The handling of the objects will be triggered by the hand gestures from the user. The image to be processed will be captured by an external camera. This robot is built as a prototype for the steel industry.

MONITORING OF MINER BY RF SIGNAL

Wireless communication technology is spreading rapidly to all areas of our lives. The technology, which has a wide range of applications from radios, intelligent home systems, automation applications to GPS units, was used in monitoring the workers working in mines in this study. Most of the mining area underground mining is risky and the possibility of accident (gas jams, the explosion and dents, etc.) is the area of high. Locating is vital in this line of work when a sudden accident or dent occurred in which the worker will be known and the position of the recovery efforts can be intensified in that area. It was developed using a wireless receiver, two radio transmitters, and a reference receiver, which are used in the Internet of thinks. CP2102 V2 module was used as the center receiver, D1 mini module was used as the reference receiver, ESP8266-01 was used as the transmitter card and it was used to carry the miner.

AUTOMATIC SIGNAGE READER WITH OPTICAL CHARACTER RECOGNITION METHOD

In this work, An automatic recognition system designed to be used while travelling in a country whose language is not known to the traveler. The system reads the traffic sign boards by using a camera. Then software of the system gives the meanings of the signs in known language in the computer screen attached to the car dash. OCR system in fact takes the information for the camera as an image. Then, the program translates the information in the form of letters and symbols. System uses Emgu CV tesseract OCR Motor.

FUZZY POSITION CONTROL APPROACH FOR AUTONOMOUS ROBOT CONTROLLER

In this study, the application of position control on a fixed track by an autonomous robot fuzzy controller approach is realized. For this purpose, a system is designed in which the real time data exchange can be done both for hardware and software. The embedded system (Atmel 2560 Integrity) is used in the hardware section to achieve the target attainment and position control with the fuzzy controller. DC motor, servo motor, ultrasonic sensor, Bluetooth module and optical sensor are controlled using this system. In addition, the desktop software is designed using the microcontroller software as well as Visual Studio 2015 platform using c# language. The coordinates (x, y) and path information sent by Altu robot (The name of the robot designed for this study) on the designed track in real time are processed with the fuzzy controller. The obtained data is displayed with the desktop software, position information, and robot motion map of Altu robot. Applications using the fuzzy approach are also tested with the conventional control method and the results are compared. Thus, the fuzzy logic approach has proved that it can provide more precise control than the conventional approach.

OUR STUDIES and DETAILS

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