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Now showing items 11-16 of 16
Development of a Multi-Sensor Fire Detector Based on Machine Learning Models [Makine Öǧrenmesi Modellerine Dayali Çok Sensörlö Bir Yangin Algilayicisi Geliştirilmesi]
(Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019, 2019)
This paper proposes a method to reduce false positive fire alarms by fusing data from different sensors using a specific machine learning model. We design an electronic circuit with 6 sensors to detect 7 physical sensory ...
Stochastic Microgrid Control Problems: Effects of Load Distribution and Planning Horizon [Rassal Mikro Şebeke Kontrol Problemleri: Yök Daǧilimi ve Planlama Ufuk Uzunluǧunun Etkileri]
(Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019, 2019)
Microgrids enable the integration of distributed energy resources with high renewable penetration into the main power grid. In this study, a microgrid problem that takes into account the stochastic nature of the net load, ...
Performance analysis of stable adaptive NARMA controller scheme for furuta pendulum
(2019 23rd International Conference on System Theory, Control and Computing, ICSTCC 2019 - Proceedings, 2019)
This paper presents a novel stable adaptive controller scheme for Furuta Pendulum via nonlinear auto-regressive moving-average based plant identification. During online learning for the developed controller, input-output ...
Comparative study of forecasting schemes for IoT device traffic in machine-to-machine communication
(ACM International Conference Proceeding Series, 2019)
We present a comparative study of Autoregressive Integrated Moving Average (ARIMA), Multi-Layer Perceptron (MLP), 1-Dimensional Convolutional Neural Network (1-D CNN), and Long-Short Term Memory (LSTM) models on the problem ...
An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion
(IEEE International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2019 - Proceedings, 2019)
Deep reinforcement learning (DRL) exhibits a promising approach for controlling humanoid robot locomotion. However, only values relating sensors such as IMU, gyroscope, and GPS are not sufficient robots to learn their ...
Data Dependent Stable Robust Adaptive Controller Design for Altitude Control of Quadrotor Model
(Proceedings of the 2018 18th International Conference on Mechatronics - Mechatronika, ME 2018, 2019)
This paper presents Nonlinear Auto Regressive Moving Average (NARMA) based stable robust adaptive controller design. Both the plant and the closed-loop controller systems are modelled by the proposed NARMA based input-output ...