ÇAĞLAR AKMAN - Academia.edu (original) (raw)

Papers by ÇAĞLAR AKMAN

Resuscitation, Oct 31, 2023

2022 30th Signal Processing and Communications Applications Conference (SIU), May 15, 2022

This paper proposes a mathematical system model and a related novel system calibration method for... more This paper proposes a mathematical system model and a related novel system calibration method for acoustic based shooter detection system with multi microphone array which utilizes muzzle blast and shockwave due to bullet physics. System calibration method estimates system parameters namely, sound speed, bullet speed, and microphone array position from a single shot to improve shooter localization accuracy. In this paper the overall system architecture and system implementation of acoustic sensor node for distributed wireless acoustic shooter localization system are also presented.

Özetçe-Bu bildiride Covid-19 salgınının nüfusta yayılımı SEIQR matematiksel modeli ile formüle ed... more Özetçe-Bu bildiride Covid-19 salgınının nüfusta yayılımı SEIQR matematiksel modeli ile formüle edilmiştir. Kesikli zamanlı yayılım modeli ile salgının bulaş hızı ve hasta tespit oranı kestirilmektedir. Kısıtlı optimal kontrol problemi olarak ifade edilen kestirim modeli Pontryagin minimum prensibi ile çözülmüştür. Yayılım ve kestirim modeli gerçek verilerin üzerinde test edilmiş, performans sonuçları sunulmuştur. Önerilen yöntemin başarılı bir şekilde salgın parametrelerinin kestirimini yaptığı gösterilmiştir.

IGI Global eBooks, 2021

The motion capture (MoCap) is a highly popular subject with wide applications in different areas ... more The motion capture (MoCap) is a highly popular subject with wide applications in different areas such as animations, situational awareness, and healthcare. An overview of MoCap utilizing different sensors and technologies is presented, and the prominent MoCap methods using inertial measurement units and optics are discussed in terms of their advantages and disadvantages. MoCap with wearable inertial measurement units is analyzed and presented specifically with the background information and methods. The chapter puts an emphasis on the mathematical model and artificial intelligence algorithms developed for the MoCap. Both the products from the important technology developers and the proof-of-concept applications conducted by Havelsan are presented within this chapter to involve an industrial perspective. MoCap system will act as a decision support system in either application by providing automatic calculation of metrics or classification, which are the basic tools for decision making.

Sensors and Actuators A-physical, Mar 1, 2018

This paper analyses the principles and the underlying mathematical model for acoustic based shoot... more This paper analyses the principles and the underlying mathematical model for acoustic based shooter detection systems. These systems use the muzzle blast and acoustic shock waves to compute the shooter's location. Our detection system works on a distributed sensor network where microphone arrays are used as sensors. Detection algorithms run concurrently at each node. After determining the wave directions, the information is passed to the central node. The central node fuses data coming from each sensor with our optimization algorithm. For correct georeferenced fusion, GPS, accelerometer and magnetometer data are used. A mathematical framework of the problem with possible node outputs has been developed in this study. Our framework supports all possible combinations of muzzle blast and shockwave measurements at each sensor node. The simulation for various scenarios has been performed and analyzed. Imperfections in the placements of microphones within the arrays, uncertainty of sensor locations and time uncertainty in time of arrival estimations are investigated as regards to their effect on system performance. In order to analyze the effect of these imperfections on the calculated shooter position, shooter's relative direction and bullet direction, a detailed sensitivity analysis has been done. A system calibration method has been developed in this study to reduce imperfections and enhance the shooter localization performance. In addition, acoustic-based shooter localization hardware has been designed within the study. The study involves not only the simulation but also the results of real tests.

2022 30th Signal Processing and Communications Applications Conference (SIU)

2021 29th Signal Processing and Communications Applications Conference (SIU), 2021

2023 31st Signal Processing and Communications Applications Conference (SIU)

This thesis proposes a generalized estimation framework for acoustic based shooter localization s... more This thesis proposes a generalized estimation framework for acoustic based shooter localization system relying on time of arrival (ToA) and direction of arrival (DoA) of gunshot acoustic events, namely muzzle blast and shockwave. This framework is valid in case both acoustic events are present or one of them is missing. Furthermore, it provides a solution not only for a single shooter but also for simultaneous multiple shooters. As regards to details, this thesis proposes a DoA estimation method based on beamforming for simultaneous multi shooter detection in reverberant environment. A system calibration method for adjusting microphone positions in the microphone array and estimating local speed of sound to enhance shooter localization accuracy is also proposed in this thesis. Finally, this thesis proposes an architecture and a hardware design for the implementation of this acoustic based shooter localization system. M.S. - Master of Scienc

Advances in Computational Intelligence and Robotics, 2021

Sensors and Actuators A: Physical, 2018