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001-es BibID:	BIBFORM061224
Első szerző:	Bátfai Norbert (informatikus)
Cím:	Traffic Simulation based on the Robocar World Championship Initiative / N. Bátfai, R. Besenczi, A. Mamenyák, M. Ispány
Dátum:	2015
ISSN:	2061-2079
Megjegyzések:	Robocar World Championship or briefly OOCWC is a new initiative to create a community of people who share their interest in investigating the relationship between smart cities and robot cars with particular attention to the spread of robot cars in the near future. At the heart of this initiative is the Robocar City Emulator. It is intended to offer a common research platform for the investigation of the smart city simulations. In this paper, we review the recent advances of the OOCWC.
Tárgyszavak:	Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény hazai lapban szimuláció közlekedés programozás okos város
Megjelenés:	Infocommunications Journal. - 7 : 3 (2015), p. 50-58. -
További szerzők:	Besenczi Renátó (1986-) (mérnökinformatikus) Mamenyák András (1992-) (mérnök informatikus BSc hallgató) Ispány Márton (1966-) (informatikus, matematikus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM086222
035-os BibID:	(WoS)000575043800007 (Scopus)85086004244
Első szerző:	Moghadasi, Mohammad (informatikus)
Cím:	Multiple sclerosis Lesion Detection via Machine Learning Algorithm based on converting 3D to 2D MRI images / Mohammad Moghadasi, Gabor Fazekas
Dátum:	2020
ISSN:	2061-2079
Megjegyzések:	In the twenty first century, there have been various scientific discoveries which have helped in addressing some of the fundamental health issues. Specifically, the discovery of machines which are able to assess the internal conditions of individuals has been a significant boost in the medical field. This paper or case study is the continuation of a previous research which aimed to create artificial models using support vector machines (SVM) to classify MS and normal brain MRI images, analyze the effectiveness of these models and their potential to use them in Multiple Sclerosis (MS) diagnosis. In the previous study presented at the Cognitive InfoCommunication (CogInfoCom 2019) conference, we intend to show that 3D images can be converted into 2D and by considering machine learning techniques and SVM tools. The previous paper concluded that SVM is a potential method which can be involved during MS diagnosis, however, in order to confirm this statement more research and other potentially effective methods should be included in the research and need to be tested. First, this study continues the research of SVM used for classification and Cellular Learning Automata (CLA), then it expands the research to other method such as Artificial Neural Networks (ANN) and k-Nearest Neighbor (k-NN) and then compares the results of these.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk
Megjelenés:	Infocommunications Journal. - 12 : 1 (2020), p. 38-44. -
További szerzők:	Fazekas Gábor (1952-) (informatikus, matematikus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM116499
035-os BibID:	(WoS)001143123700007 (Scopus)85174848207
Első szerző:	Nsaif, Mohammed (informatics)
Cím:	Survey of Routing Techniques-Based Optimization of Energy Consumption in SD-DCN / Mohammed Nsaif, Gergely Kovásznai, Ali Malik, Ruairí de Fréin
Dátum:	2023
ISSN:	2061-2079
Megjegyzések:	The increasing power consumption of Data Center Networks (DCN) is becoming a major concern for network operators. The object of this paper is to provide a survey of state-of-the-art methods for reducing energy consumption via (1) enhanced scheduling and (2) enhanced aggregation of traffic flows using Software-Defined Networks (SDN), focusing on the advantages and disadvantages of these approaches. We tackle a gap in the literature for a review of SDN-based energy saving techniques and discuss the limitations of multi-controller solutions in terms of constraints on their performance. The main finding of this survey paper is that the two classes of SDN- based methods, scheduling and flow aggregation, significantly reduce energy consumption in DCNs. We also suggest that Machine Learning has the potential to further improve these classes of solutions and argue that hybrid ML-based solutions are the next frontier for the field. The perspective gained as a consequence of this analysis is that advanced ML-based solutions and multi-controller-based solutions may address the limitations of the state-of-the-art, and should be further explored for energy optimization in DCNs.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk Data Center Energy Integer Programming Power Consumption Routing Software-Defined Networking
Megjelenés:	Infocommunications Journal. - 15 : Special Issue (2023), p. 35-42. -
További szerzők:	Kovásznai Gergely Malik, Ali de Fréin, Ruairí
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM055562
Első szerző:	Orosz Péter (informatikus)
Cím:	RCTP: A Low-complexity Transport Protocol for Collecting Measurement Data / Péter Orosz, Tamás Skopkó, Máté Varga
Dátum:	2014
ISSN:	2061-2079
Megjegyzések:	Transmission Control Protocol (TCP) and User Datagram Protocol (UDP) are the essential transport protocols of the Internet Protocol (IP) networks. Both of them are dedicated for certain purposes and face their obvious limitations. Thus, there is a constant endeavor for developing alternatives. Despite the reliability feature of TCP, its relatively high complexity does not always enable to implement it in a hardware environment with constrained resources. Our paper introduces a low-complexity transport protocol dedicated to a real-time network monitoring system operating at 10+ Gbps. Its task is to transport the preprocessed IP packets from the monitoring device to the post-processing hosts without loss over a dedicated LAN. Resource requirement on sender side has to be reduced as much as possible while trying to maintain high throughput. Although RCTP is intended to serve in a network measurement system, it may be suitable for other measurement infrastructures such as sensor networks, where data provided by the sensors with limited resources have to be collected at a central node.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban transport protocol UDP monitoring system wireless sensor network
Megjelenés:	Infocommunications Journal. - 6 : 3 (2014), p. 28-36. -
További szerzők:	Skopkó Tamás (1978-) (informatikus) Varga Máté (1990-) (informatikus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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