Parameterized activity cycle diagram and its application

2013 ◽  
Vol 23 (4) ◽  
pp. 1-18 ◽  
Author(s):  
Byoung K. Choi ◽  
Donghun Kang ◽  
Taesik Lee ◽  
Arwa A. Jamjoom ◽  
Maysoon F. Abulkhair
Keyword(s):  
Activity Cycle ◽  
Cycle Diagram

The extended activity cycle diagram and its generality

2011 ◽  
Vol 19 (2) ◽  
pp. 785-800 ◽  
Author(s):  
Donghun Kang ◽  
Byoung K. Choi
Keyword(s):  
Activity Cycle ◽  
Cycle Diagram

Methodologies and Approaches in Discrete Event Simulation

2008 ◽  
pp. 1-35
Author(s):  
Evon M. O. Abu-Taieh ◽  
Asim Abdel Rahman El Sheikh
Keyword(s):  
Discrete Event ◽  
Activity Cycle ◽  
Scale Model ◽  
Discrete Events ◽  
Web Based ◽  
Event Simulation ◽  
Modeling Approaches ◽  
Continuous Models ◽  
Systems Simulation ◽  
Cycle Diagram

This chapter aims to give a comprehensive explanatory platform of simulation background. As this chapter comprises of four sections, it reviews simulation definitions, forms of models, the need for simulation, simulation approaches and modeling notations. Simulation definition is essential in order to set research boundaries. Moreover, the chapter discusses forms of models: scale model of the real system, or discrete and continuous models. Subsequently, the chapter states documentation of several reasons by different authors pertaining to the question of “why simulate?,” followed by a thorough discussion of modeling approaches in respect to general considerations. Simulation modeling approaches are discussed with special emphasis on the discrete events type only: process-interaction, event scheduling, and activity scanning, yet, a slight comparison is made between the different approaches. Furthermore, the chapter discusses modeling notations activity cycle diagram (ACD) with different versions of the ACD. Furthermore, the chapter discusses petri nets, which handle concurrent discrete events dynamic systems simulation. In addition, Monte Carlo simulation is discussed due to its important applications. Finally, the fourth section of this chapter reviews Web-based simulation, along with all three different types of object-oriented simulation and modeling.

PENERAPAN STRATEGI MAKE A MATCH UNTUK MENINGKATKAN HASIL BELAJAR IPS KELAS IV SDN 005 KOTO SENTAJO KECAMATAN SENTAJO RAYA

2018 ◽  
Vol 2 (3) ◽  
pp. 444
Author(s):  
Fuji Nengsih
Keyword(s):  
Action Research ◽  
Initial Data ◽  
Learning Outcomes ◽  
Primary Schools ◽  
Activity Cycle ◽  
Student Activity ◽  
Teachers And Students ◽  
Classroom Action Research ◽  
Improved Learning ◽  
Daily Test

IPS learning is a science of socio-cultural phenomena, and economics. IPS education in primary schools aims todevelop student potential. This study is a classroom action research that aims to improve the learning processwith the ultimate impact of improved learning outcomes. Data obtained on teacher activity cycle II percentage62.5% and 71% at the second meeting. Cycle II the percentage of teacher activity 83% and 92% at the secondmeeting whereas in student activity on cycle I with percentage 50% and second meeting 62,5% increase in cycleII become 75% and 88% at second meeting cycle II. The activity of teachers and students influences the IPSlearning result data with average views on the initial data 68.3, increased to 79.8 and in the daily test II with anaverage of 89.5. The conclusions in this study are make-match strategies effective in improving IPS learningoutcomes.

Trends in Parameters of the F2 Layer and the 24th Solar-Activity Cycle

2020 ◽  
Vol 60 (5) ◽  
pp. 586-596 ◽  
Author(s):  
A. D. Danilov ◽  
A. V. Konstantinova
Keyword(s):  
Solar Activity ◽  
Activity Cycle ◽  
Solar Activity Cycle

scholarly journals On the Prediction of Solar Cycles

Solar Physics ◽  
2021 ◽  
Vol 296 (1) ◽  
Author(s):  
V. Courtillot ◽  
F. Lopes ◽  
J. L. Le Mouël
Keyword(s):  
Solar Activity ◽  
Solar Cycle ◽  
Transfer Function ◽  
Singular Spectrum Analysis ◽  
Activity Cycle ◽  
Solar Activity Cycle ◽  
Planetary Motion ◽  
Data Sets ◽  
Solar Cycles ◽  
Jovian Planets

AbstractThis article deals with the prediction of the upcoming solar activity cycle, Solar Cycle 25. We propose that astronomical ephemeris, specifically taken from the catalogs of aphelia of the four Jovian planets, could be drivers of variations in solar activity, represented by the series of sunspot numbers (SSN) from 1749 to 2020. We use singular spectrum analysis (SSA) to associate components with similar periods in the ephemeris and SSN. We determine the transfer function between the two data sets. We improve the match in successive steps: first with Jupiter only, then with the four Jovian planets and finally including commensurable periods of pairs and pairs of pairs of the Jovian planets (following Mörth and Schlamminger in Planetary Motion, Sunspots and Climate, Solar-Terrestrial Influences on Weather and Climate, 193, 1979). The transfer function can be applied to the ephemeris to predict future cycles. We test this with success using the “hindcast prediction” of Solar Cycles 21 to 24, using only data preceding these cycles, and by analyzing separately two 130 and 140 year-long halves of the original series. We conclude with a prediction of Solar Cycle 25 that can be compared to a dozen predictions by other authors: the maximum would occur in 2026.2 (± 1 yr) and reach an amplitude of 97.6 (± 7.8), similar to that of Solar Cycle 24, therefore sketching a new “Modern minimum”, following the Dalton and Gleissberg minima.

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