scholarly journals Investigation of Throttling Response Characteristics of Axial-Injection End-Burning Hybrid Rockets

Author(s):  
Yuji SAITO ◽  
Masaya KIMINO ◽  
Ayumu TSUJI ◽  
Kazunobu OMURA ◽  
Hiroyuki YASUKOCHI ◽  
...  
2017 ◽  
Vol 65 (4) ◽  
pp. 157-167 ◽  
Author(s):  
Yuji SAITO ◽  
Toshiki YOKOI ◽  
Ayumu TSUJI ◽  
Kazunobu OMURA ◽  
Hiroyuki YASUKOCHI ◽  
...  

Author(s):  
Yuji Saito ◽  
Ayumu Tsuji ◽  
Ai Yamada ◽  
Harunori Nagata

2019 ◽  
Vol 67 (4) ◽  
pp. 119-125
Author(s):  
Masaya Kimino ◽  
Yuji Saito ◽  
Yushi Okutani ◽  
Ayumu Tsuji ◽  
Kentaro Soeda ◽  
...  

Author(s):  
Yushi Okutani ◽  
Yuji Saito ◽  
Masaya Kimino ◽  
Ayumu Tuji ◽  
Kentaro Soeda ◽  
...  

2019 ◽  
Vol 35 (2) ◽  
pp. 328-341 ◽  
Author(s):  
Yuji Saito ◽  
Masaya Kimino ◽  
Ayumu Tsuji ◽  
Yushi Okutani ◽  
Kentaro Soeda ◽  
...  

2000 ◽  
Vol 14 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Joni Kettunen ◽  
Niklas Ravaja ◽  
Liisa Keltikangas-Järvinen

Abstract We examined the use of smoothing to enhance the detection of response coupling from the activity of different response systems. Three different types of moving average smoothers were applied to both simulated interbeat interval (IBI) and electrodermal activity (EDA) time series and to empirical IBI, EDA, and facial electromyography time series. The results indicated that progressive smoothing increased the efficiency of the detection of response coupling but did not increase the probability of Type I error. The power of the smoothing methods depended on the response characteristics. The benefits and use of the smoothing methods to extract information from psychophysiological time series are discussed.


1997 ◽  
Vol 36 (04/05) ◽  
pp. 237-240
Author(s):  
P. Hammer ◽  
D. Litvack ◽  
J. P. Saul

Abstract:A computer model of cardiovascular control has been developed based on the response characteristics of cardiovascular control components derived from experiments in animals and humans. Results from the model were compared to those obtained experimentally in humans, and the similarities and differences were used to identify both the strengths and inadequacies of the concepts used to form the model. Findings were confirmatory of some concepts but contrary to some which are firmly held in the literature, indicating that understanding the complexity of cardiovascular control probably requires a combination of experiments and computer models which integrate multiple systems and allow for determination of sufficiency and necessity.


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