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Öğe 3D MODELLING WITH STRUCTURED LIGHT GAMMA CALIBRATION(Vsb-Technical Univ Ostrava, 2014) Sert, Eser; Okumus, Ibrahim Taner; Taskin, DenizStructured light method is one of the noncontact measurement methods used for high resolution and high sensitive 3D modeling. In this method, a projector, camera and computer are used. Projector projects patterns that are generated with specific coding strategies onto the object that will be 3D modeled. Camera receives these patterns. By processing the images received by the camera, object is 3D modeled. Light intensity that is emitted from the projector generally not a linear function of the signal input. This causes brightness problems in the patterns projected. Thus, images received from the camera needs to the gamma corrected. In this study, gamma calibration method is proposed to overcome this problem. Test results show that proposed calibration system improves the accuracy and quality of the 3D modeling.Öğe Comparison of Deep Learning Models AlexNet and GoogLeNet in Detection of Pneumonia and Covid19(IEEE, 2021) Ozsoy, Yaren; Taskin, DenizDue to the rapidly increasing population, workload is increasing in the field of health as well as in many different fields. In the increasing workload, there are models and algorithms developed to reduce the burden of our doctors by providing insight into the diagnosis of pneumonia. Early diagnosis of many diseases, especially pneumonia, is important in reducing the death rate. Therefore, diagnosing the disease with deep learning methods is an important development in medicine. In this study, AlexNet and GoogLeNet models were run and their performances were evaluated. Looking at the results, it turns out that the deep learning model is successful in diagnosing the presence of the disease. Open access data sets were used due to limited data in medicine. The data set consists of a total of 6357 chest x-rays. Accuracy, true positive rate, false positive rate and precision rates were determined by creating confusion matrix in the study.Öğe Container-Based Virtualization for Bluetooth Low Energy Sensor Devices in Internet of Things Applications(Univ Osijek, Tech Fac, 2021) Taskin, Deniz; Taskin, Cem; Yazar, SelcukInternet of Things (IoT) has become a continuously growing concept with the developments of ubiquitous computing, wireless sensor networks (WSN). With the industry 4.0 revolution, all production activities such as logistics, finance, agriculture, energy and almost all the service and infrastructure applications used by people in the cities we live in will undergo a major change within the IoT paradigm. In this study, a prototype model has been developed and its performance is investigated. Our prototype model can reach the advertisement data of Bluetooth Low Energy sensor devices by using container-based virtualization technology and directly working at layer 2 (L2) of Transmission Control Protocol/Internet Protocol (TCP/IP). Virtualization mechanism for the sensor devices could help to exchange context-aware information with Internet Protocol Version 6 (IPv6) structure. Also with virtualization may emerge interoperable sensor node platforms of heterogeneous environments from different vendors.Öğe Designing a Gateway Device for Internet of Things Applications(Lublin Univ Technology, Poland, 2019) Taskin, Deniz; Cetingoz, MustafaBLE (Bluetooth Low Energy) technology is an ideal tool for implementing IoT (Internet of Things) applications, as it consumes little power and provides wireless communication. There are many applications using this technology already available on the market. These products are classified as personal applications while using the BLE-supported tablets or smartphones for transmitting data and are not institutional. There are numerous studies showing that the number of IoT sensors and devices will increase rapidly. However, personal approaches cannot manage a large number of devices. In this study, a BLE gateway device which interconnects BLE and WiFi networks was developed. This device is also capable of transmitting IoT node information to a server or cloud on the Internet. The proposed design uses only BLE and WiFi stack chips and does not require an additional microcontroller unit for running gateway applications. This makes the design cost-effective and power efficient, which are important for the IoT environment.Öğe Developing a bluetooth low energy sensor node for greenhouse in precision agriculture as internet of things application(Lublin Univ Technology, 2018) Taskin, Deniz; Taskin, Cem; Yazar, SelcukThe Internet of Things (IoT) paradigm is referring to the underlying constituents of the 4th Industrial Revolution that will also affect the use of the Internet in industrial production in the future. More than 50 billion smart devices will be able to communicate with each other and internet services over the increasing network capabilities of wireless sensor networks nodes on IoT applications in the next ten years. One of the leading production areas using IoT within wireless sensor networks is precision agricultural practices. In this study, a new sensor node design, which includes ambient light and temperature sensors employing Bluetooth Low Energy (BLE) communication protocol, is used as an IoT application. Subsequent to this, sensor node power consumption and management cost was investigated. The experimental results show that the developed sensor node lifetime is about 8 years and the total cost of nodes and gateway model is under $50 per year per 0.1 hectare.Öğe Three stepped calibration of structured light system with adaptive thresholding for 3D measurements(Elsevier Gmbh, 2015) Sert, Eser; Taskin, Deniz; Alkan, AhmetStructured light (SL) methods are widely used in 3D measurement systems because of their speed and contactless operation. These methods provide high resolution 3D modeling. Phase shifting is one of the SL algorithms that give high resolution with less number of pattern requirements. Since reflected patterns and obtained results are commonly distorted due to the lenses in cameras and projector systems, system calibration must be fulfilled before starting 3D modeling with SL system. Uncalibrated SL system may model the object much greater/smaller than the real dimension of it. In this study, a three step calibration system is proposed for an SL system that uses a three phase shifting algorithm with automatic thresholding. These calibration steps include camera calibration, projector calibration and depth calibration. Experimental studies showed that proposed calibrated system reduces the camera and projector lens errors. Depth calibration is applied as a last calibration step provided a 3D modeling of the object with accurate dimension. Dimensions of the objects and their 3D models are compared to have accuracy of the proposed 3D modeling system. After system calibration, obtained results showed that proposed 3D modeling system gives high accuracy with acceptable depth measurements. (C) 2015 Elsevier GmbH. All rights reserved.