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On the Data Freshness for IoT Traffic Modelling in Real-Time Emergency Observation Systems

Serdaroglu, K.C. | Baydere, S.

Conference Object | 2018 | Conference of Open Innovation Association, FRUCT2018-November , pp.335 - 340

Internet of things (IoT) and fog computing based observation systems are gaining more importance as Internet becomes the main infrastructure to augment the pervasiveness in remote monitoring of the physical world. Considering the explosion in the number of connected 'things', the increase of data traffic density on interconnection devices (i.e., IoT gateways) becomes an important problem for scalable real-time emergency detection and monitoring. Thus, data traffic analysis and modeling of fog services become an important research area to get more insights into real-time behavior of such systems. The outcomes of such analysis are imp . . .ortant for prediction of IoT system behavior in a given network topology. In this paper, we elaborate on an architectural solution for periodic data acquisition from a wireless sensor network(WSN). To this end, we propose a publish/subscribe (P/S) based observation scheme which simultaneously interconnects clients to different kind of sensor devices over a fog layer service. Then, we examine the data freshness which is a critical traffic modeling parameter for real-time emergency observation. With using such scheme, we devise an analysis for understanding the behavior of the overall system in the context of data freshness. The results obtained from our experimental setup illustrate the appropriateness of freshness time calculation methods for obtaining the required service quality. © 2018 FRUCT Oy Daha fazlası Daha az

The Effect of Melatonin on Chemotherapic Activity of PTX on HCT-116 Human Colon Cell Line

Gemici, B | Erdogan, CS | Gunalan, E | Aru, B

Conference Object | 2018 | ACTA PHYSIOLOGICA225 , pp.52 - 52

Assessment of Meal Skipping Behaviours and Related Lifestyle Factors in Turkish Adolescents: A Cross Sectional Study

Gunalan, E | Bakir, BO | Bali, R | Tanriover, O | Gemici, B

Conference Object | 2018 | ACTA PHYSIOLOGICA225 , pp.63 - 63

Improving driver behavior using gamification

Helvaci, S. | Senova, A. | Kar, G. | Gören, S.

Conference Object | 2018 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)10995 LNCS , pp.193 - 204

This work proposes a gamification approach to measure the driving behavior using the in-vehicle data and score drivers. Existing work largely focus on one functionality: either displaying vehicular info or scoring the driver. And some other work just provides navigation or Point of Interest (POI). In our work, we combine these features with minimal distraction for the driver. With this goal, we consider a system that interfaces to the vehicle bus and find the errors of the driver during the drive using multiple criteria. Furthermore, by providing achievements and leader boards, the driver is motivated to have a good score while driv . . .ing. To facilitate this analysis and to evaluate the system, we recorded two trips in real traffic. The results show that we achieve more than 95% accuracy between real-world scenario and the simulation. We also present POI feature that finds nearest preferred locations which are restaurants, hospitals, gas stations, pharmacies, car repair shops. © Springer International Publishing AG, part of Springer Nature 2018 Daha fazlası Daha az

An interdisciplinary approach in software engineering: Engineers meet designers [Yazılım Mühendisliğinde Disiplinler Arası Bir Yaklaşım: Mühendisler Tasarımcılar ile Buluşuyor]

Goularas, D. | Serif, T. | Gören, S.

Conference Object | 2018 | CEUR Workshop Proceedings2201 , pp.193 - 204

In this study, we examine the challenges that arise from an interdisciplinary collaboration in the field of Software Engineering through a common project between the undergraduate students of the Department of Computer Engineering and the Visual Communication and Design Department of Yeditepe University in Istanbul, Turkey. This collaboration between the two departments was carried out for two consecutive years. Each year a certain number of groups were formed including students from both departments. Every group had the objective to create a game as this type of application requires both design and computer programming skills. The . . .results reveal that this collaboration is beneficial for both students and instructors. From the students' point of view, the contact with people from different backgrounds prepares them for real-life situations. Additionally, this experience has also an education impact as it enables instructors to understand the difficulties students are facing, which as a result can be used as indicatory feedback to constantly improve the quality of the course Daha fazlası Daha az

Can SUVmax Values of 68Ga-PSMA PET/CT scan Predict the Clinically Significant Prostate Cancer

Sahin, OE | Akgun, E | Demirci, E | Gultekin, M | Doganca, T | Tuna, M | Kabasakal, L


Determination of Radiation Dose in 177Lu-DOTATATE Treatment with 99m-Tc-HYNICTATE Scintigraphy

Yeyin, N | Toklu, T | Aygun, A | Karayel, E | Pehlivanoglu, H | Demirci, E | Kabasakal, L


VRLT: Cloud based highly scalable connected vehicle risk detection and life time estimation system

Bayraktar, S. | Gören, S.

Conference Object | 2018 | CEUR Workshop Proceedings2291 , pp.118 - 132

In this paper, we propose a cloud-based, scalable architecture for connected vehicle risk detection and life time estimation solution. Our conceptual solution collects real-time data from the vehicle itself by using mobile devices and from vehicle to vehicle (V2V) data generated by the cars in the traffic. OpenXC is the vehicle interface which enables a wide-range of real-time data collection from several points of the vehicle. With the help of a mobile device in the car V2V data can be obtained from the nearby vehicles such as approaching ambulance, motorcycle, sensor on the road etc. In the initial scope, we would to prevent accid . . .ents in the traffic. Accidents happen due to many situations in the traffic such as bad road conditions, broken vehicle parts, and poor driving habits. OpenXC and V2V data can be further merged, utilized in learning and prediction by using deep learning algorithms to detect early warnings to prevent accidents. By integrating further data systems such as weather conditions, vehicle service center logbooks and car manufacturers' repositories. Such additional data can be added to make stronger predictions for accidents and can further provide life time estimation of vehicle parts as a further benefit. © 2019 CEUR Workshop Proceedings.All Rights Reserved Daha fazlası Daha az

Server-based indoor location detection system

Perente, O.K. | Serif, T.

Conference Object | 2018 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)10995 LNCS , pp.142 - 153

With the advancement of technology and telecommunication services, data consumption rates are increasing ever since. People for long have started using applications with the help of contextual information to improve their user experience. Thus, providing a cross-platform location service to further enrich such applications has become a necessity. For this purpose, numerous client-based indoor location systems on mobile devices are developed to perform this task. Nevertheless, most of the time these systems suffer from elimination of features from operating systems for security purposes. Indeed, with the current security trends, to e . . .nsure the privacy of mobile users, mobile operating system designers are progressively eliminating certain low-level features such as reading RSSI and introducing randomized MAC addresses. Thus, in this study, the authors propose, design and implement a server-based indoor positioning system to eliminate platform dependency and to provide the location detection in wide range of devices. The designed server-based system is scalable and platform independent; hence can run on virtually any family of smart device. Furthermore, the evaluation findings indicate that the proposed system performs in acceptable accuracy to client-based systems compared to more complex and costly implementations. © Springer International Publishing AG, part of Springer Nature 2018 Daha fazlası Daha az

Development of a mobile news reader application compatible with in-vehicle infotainment

Kurt, B. | Gören, S.

Conference Object | 2018 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)10995 LNCS , pp.18 - 29

People spend a lot of time behind the wheel every day. Reading newspapers while driving a car is almost impossible. In this work, a mobile news reader application is developed to deliver the latest news from various sources to the drivers. The major difference from other news reader applications is that it is developed in accordance with the Ford SYNC technology. The user will be able to view the latest news on the SYNC screen while driving and listening to the selected news. In addition, drivers can select the desired news source and the desired news with the voice commands. Therefore, our proposed news reader application is an ena . . .bler for the drivers to follow the news in a safe way without distraction while keeping their hands on the wheel and their eyes on the road. © Springer International Publishing AG, part of Springer Nature 2018 Daha fazlası Daha az

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