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Standards-Based Worldwide Semantic Interoperability for IoT
Kovacs, Erno,Bauer, Martin,Jaeho Kim,Jaeseok Yun,Le Gall, Franck,Mengxuan Zhao Institute of Electrical and Electronics Engineers 2016 IEEE communications magazine Vol.54 No.12
<P>Global IoT services (GIoTS) are combining locally available IoT resources with cloud-based services. They are targeting worldwide services. GIoTS require interoperability between the locally installed heterogeneous IoT systems. Semantic processing is an important technology to enable data mediation as well as knowledge-based processing. This article explains a system architecture for achieving worldwide semantic interoperability using international standards such as oneM2M and the OMA NGSI-9/10 context interfaces (as used in the European Future Internet Platform FIWARE). Semantics also enables the use of knowledge-based semantic processing agents. Furthermore, we explain how semantic verification enables the testing of such complex systems.</P>
BIFURCATIONS IN A HUMAN MIGRATION MODEL OF SCHEURLE-SEYDEL TYPE-II: ROTATING WAVES
Kovacs, Sandor 한국전산응용수학회 2004 Journal of applied mathematics & informatics Vol.16 No.1
This paper treats the conditions for the existence of rotating wave solutions of a system modelling the behavior of students in graduate programs at neighbouring universities near each other which is a modified form of the model proposed by Scheurle and Seydel. We assume that both types of individuals are continuously distributed throughout a bounded two-dimension spatial domain of two types (circle and annulus), across whose boundaries there is no migration, and which simultaneously undergo simple (Fickian) diffusion. We will show that at a critical value of a system-parameter bifurcation takes place: a rotating wave solution arises.
Evaluation of the Middle Part of the Nuclear Fuel Cycle
Kovac, Michal Korean Nuclear Society 2016 Nuclear Engineering and Technology Vol.48 No.1
This article describes a comprehensive methodology for the evaluation of the middle part of nuclear fuel cycles. Evaluation of fuel cycles is basically divided into two parts. The first comprises nuclear calculation, i.e., creation of the strategy for nuclear fuel reloading and core design calculations. The second part is the business-economic evaluation of the selected reloading strategy, which can be done either by financial analysis or economic analysis. The financial analysis incorporates the perspectives of a company while the economic analysis can be used primarily by national economists or politicians. This methodology was applied to a case study that is focused on impacts of switching from a 12-month to an 18-month fuel cycle strategy for Water-Water Energetic Reactor (VVER)-1000 reactors.
Multi-output fuzzy inference system for modeling cutting temperature and tool life in face milling
Pavel Kovac,Dragan Rodic,Vladimir Pucovsky,Borislav Savkovic,Marin Gostimirovic 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.10
This paper proposes a method for cutting parameters identification using the multi-inputs-multi-outputs fuzzy inference system(MIMO-FIS). The fuzzy inference system (FIS) was used to identify the initial values for cutting parameters (cutting speed, feed rate anddepth of cut) and flank wear using cutting temperature and tool life as outputs. The objective was to determine the influence of cuttingparameters on cutting temperature and tool life. The model for determining the cutting temperature and tool life of steel AISI 1060 wastrained (design rules) and tested by using the experimental data. The average deviation of the testing data for tool life was 11.6 %, whilethat of the cutting temperature was 3.28 %. The parameters used in these testing data were different from the data collected for the designrules. The test results showed that the proposed MIMO-FIS model can be used successfully for machinability data selection. The effect ofparameters and their interactions in machining is analyzed in detail and presented in this study.
Music Listening Exercises to Reduce Psychosomatic Stress in College Students
Elisa Kovacs,서은실 대한무용/동작심리치료학회 2022 신체심리연구 Vol.8 No.1
College students balance many stressors in their everyday lives and should seek to find ways to help them destress every once in a while. The purpose of this experimental study is to compare three types of music interventions used to reduce stress levels for college students. Participants completed surveys with their assigned 15-minute YouTube music listening exercise; they were passive music listening (n=4), guided music meditation (n=7), and music and progressive muscle relaxation (M+PMR) (n=3). Their current stress levels were measured using an adapted perceived stress questionnaire (PSQ) before and after the exercise, and additional questions regarding their experience were also asked in the post-exercise survey. Results found that the guided music meditation exercise had the largest change from pre- to post-exercise adapted PSQ scores of the three exercises. Overall, the guided music meditation exercise showed the most effective influence on decreasing current stress in college students.