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Öğe Design and implementation of a low-cost high-performance syringe pump system(Institute of Electrical and Electronics Engineers Inc., 2018) Coskun, H.; Gul, O.; Ferhanoglu, O.; Gokdel, Y.D.This study describes design and implementation of a high- performance, low-cost, syringe pump device. Proposed device can be used with different injectors having volumes that are ranging from a common 0.5 mL to a larger 60 mL. This adaptable and programmable syringe pump provides high accuracy and adjustable flow rate in a simple mechanical manner and costs approximately $200. Developed system was tested on an optical table in lab conditions. It is measured that system can provide rates up to 0.05 mL/h, when used on a 0.5 mL syringe whereas the maximum volume 60 mL injector can provide a flow rate of 5.8 mL/h. Mean flow rate error of the system is calculated as 1.33%. Time-distance plots reveal a high degree of linearity and negligible hysteresis. Thus, the manufactured syringe pump is an excellent candidate as a high-precision liquid delivery system for low-resource settings. © 2017 IEEE.Öğe From Image to Simulation: An ANN-based Automatic Circuit Netlist Generator (Img2Sim)(Institute of Electrical and Electronics Engineers Inc., 2022) Sertdemir, A.E.; Besenk, M.; Dalyan, T.; Gokdel, Y.D.; Afacan, E.This study proposes an Artificial Neural Network (ANN) based netlist generator: Img2Sim. The tool acquires an image of an electronic circuit, classifies the existing circuit elements, including active components (MOSFET, BJT, Op-Amp, etc.), with at least 98% accuracy, and decides the circuit topology and the connections with over 90% accuracy through a rule-based algorithm. Finally, it automatically yields a simulation-ready netlist for the circuit of concern. It is worth noting that some CAD tools have been developed before; however, they have mostly focused on recognizing the circuit elements only and, to our best knowledge, Img2Sim is the first CAD tool that creates the entire netlist for a given circuit in image format. © 2022 IEEE.Öğe Img2Sim-V2: A CAD Tool for User-Independent Simulation of Circuits in Image Format(Institute of Electrical and Electronics Engineers Inc., 2023) Gurbuz, H.B.; Balta, A.; Dalyan, T.; Gokdel, Y.D.; Afacan, E.Composition of the simulation-ready representations of circuits may be laborius and also vulnerable to human-induced errors, which results in wasted effort before the design process. Artificial intelligence (AI)-aided approaches are used in various applications to minimize the human error, and automatize the Netlist generation process. In literature, presented studies are mostly focused on the recognition of circuit components. In the previous version of Img2Sim, both active and passive components can be detected with 90% accuracy while the netlist for a given circuit can be generated automatically. In this study, we propose Img2Sim-V2, which is an AI assisted mobile application that provides high detection accuracy for hand or computer-drawn electrical circuits, generates related circuit netlist and produces a circuit schematic. Additionally, proposed system performs basic electrical analyses (DC, AC, and Transient) through Python packages. © 2023 IEEE.Öğe Modeling and Implementation of an Adaptive Wireless Sensor Network for Low Power IoT Applications(Institute of Electrical and Electronics Engineers Inc., 2023) Olcay, K.; Taparci, E.; Akmandor, M.O.; Kabakulak, B.; Sarioglu, B.; Gokdel, Y.D.Wireless Sensor Networks (WSNs) consist of low cost and energy small electronic devices such as sensors, actuators, routers and gateways. A WSN can sense various type of data, such as temperature, humidity, pH.. etc, with the sensors scattered on an agricultural region and collect the data at a cloud database via multi-hop data transmission routes. The number of periods that a WSN operates is the network lifetime which strongly depends on the limited battery energy of the devices. Hence, in order to prolong the lifetime, we propose a centralized mathematical model which deploys minimum number of devices within limited budget, efficiently utilizes the device battery by planning their active/sleep schedules and determining the minimum energy consuming data flow paths towards the cloud. We also realized the proposed model on hardware level using low power embedded system architectures. © 2023 University of Split, FESB.Öğe RoboSantral: An autonomous mobile guide robot(Institute of Electrical and Electronics Engineers Inc., 2015) Denker, A.; Dilek, A.U.; Sarioglu, B.; Savas, J.; Gokdel, Y.D.RoboSantral, An autonomous mobile robot which has been designed and realized in order to guide the visitors through a university campus, is presented in this paper. This robot accompanies guests through the campus and gives presentations on predefined locations. Location data is obtained from GPS sensors. Targets such as faculty buildings, museums etc... are recognized by the image processing of pre-defined tags. As microprocessor and microcontroller, Raspberry Pi and Arduino are used respectively. © 2015 IEEE.Öğe System integration for real-time laser scanning confocal microscope(Institute of Electrical and Electronics Engineers Inc., 2016) Gumus, G.; Sarioglu, B.; Gokdel, Y.D.In this work, a laser scanning confocal microscopy system governed by a software controlled DAQ Card is presented. The presented system can be utilized for scanning a target and displaying the resulting image through a designed graphical user interface (GUI). The system performs two main operations: (1) generation of the actuation signal and (2) image acquisition. The architecture of the proposed system and successful operation of the system is demonstrated by constructing images from USAF51 negative resolution test target. In the experiments, the proposed system is operated at the slow scan frequency (fslow) of 1 Hz and the fast scan frequency (ffast) of 100 Hz with a sampling frequency (fs) of 20 kHz. The experimental results show that 1 ?m lateral resolution is achieved in the proposed system. © 2016 IEEE.