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2018 Detection of Light Sleep Periods Using an Accelerometer Based Alarm System

Light sleep is a sleeping period which occurs within each hour during the sleep. This is the period when people are closest to awakening. With this being the case people tend to move more frequently and aggressively during these periods. In this paper the most suitable moment for waking a person up will be described. The characteristics of sleeping stages, detection of light sleep periods and analysis of light sleep periods were clarified. The sleeping patterns of different subjects were analyzed. The detection of this moment and the development process of a system dedicated to this purpose will be explained, and also some experimental results that are acquired via different tests will be shared and analyzed.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Egemen Turkyilmaz Alper Akgul Erkan Bostanci Mehmet Serdar Guzel

420 416
Subject Area: Computer Science Broadcast Area: International Type: Oral Paper Language: English
2018 Live Target Detection with Deep Learning Neural Network and Unmanned Aerial Vehicle on Android Mobile Device

This paper describes the stages faced during the development of an Android program which obtains and decodes live images from DJI Phantom 3 Professional Drone and implements certain features of the TensorFlow Android Camera Demo application. Test runs were made and outputs of the application were noted. A lake was classified as seashore, breakwater and pier with the accuracies of 24.44%, 21.16% and 12.96% respectfully. The joystick of the UAV controller and laptop keyboard was classified with the accuracies of 19.10% and 13.96% respectfully. The laptop monitor was classified as screen, monitor and television with the accuracies of 18.77%, 14.76% and 14.00% respectfully. The computer used during the development of this study was classified as notebook and laptop with the accuracies of 20.04% and 11.68% respectfully. A tractor parked at a parking lot was classified with the accuracy of 12.88%. A group of cars in the same parking lot were classified as sports car, racer and convertible with the accuracies of 31.75%, 18.64% and 13.45% respectfully at an inference time of 851ms.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Ali Canberk Anar Erkan Bostanci Mehmet Serdar Guzel

404 303
Subject Area: Computer Science Broadcast Area: International Type: Oral Paper Language: English
2019 3D Scene Reconstruction using a Swarm of Drones

3D models of scenes are widely used but reconstructing them in 3D is a challenging task. The task generally starts from data acquisition and ends with 3D model of the scene. There are various methods to achieve the task but most of them don’t offer a suitable solution for large scenes and implementing them is laborious even in the case of a small scene. The document is prepared to propose a solution to these problems and explain a project which implements the solution. The solution benefits from two approaches; a multi-agent drone system and an image based 3D reconstruction pipeline. These approaches and how the project implements them are explained in details.

International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES

Metehan Aydın Erkan Bostanci Mehmet Serdar Guzel

525 531
Subject Area: Computer Science Broadcast Area: International Type: Oral Paper Language: English
2018 Differences between Free Open Source and Commercial Sandboxes

Nowadays, rightly so, the concept of cyber security is very important. The most effective weapon in this area is undoubtedly malicious software. Therefore, it is more important to analyze malware effectively and to prevent possible harms. One of the techniques to analyze the malware is sandboxing. There are too many sandbox options in the wild that can be preferred depending on situations and the service provided. In this paper, the differences between free open source and commercial sandboxes have been discussed. There have been several advantages and disadvantages between them that is mentioned in the result.

International Conference on Cyber Security and Computer Science
ICONCS

G.Kale Erkan Bostanci F.V. ÇELEBİ

420 1133
Subject Area: Computer Science Broadcast Area: International Type: Oral Paper Language: English