respectively數學的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列各種有用的問答集和懶人包

respectively數學的問題,我們搜遍了碩博士論文和台灣出版的書籍,推薦寫的 Advances in Nonlinear Dynamics: Proceedings of the Second International Nonlinear Dynamics Conference (Nodycon 2021), Volume 1 和的 Advances in Nonlinear Dynamics: Proceedings of the Second International Nonlinear Dynamics Conference (Nodycon 2021), Volume 2都 可以從中找到所需的評價。

這兩本書分別來自 和所出版 。

東吳大學 財務工程與精算數學系 莊聲和、喬治華所指導 陳悠祈的 父母親身體狀況與嬰幼兒先天性缺陷之關聯性研究 (2022),提出respectively數學關鍵因素是什麼,來自於先天缺陷、婦嬰險、危險因子、廣義線性模型。

而第二篇論文修平科技大學 精密機械與製造科技碩士班 林永隆、洪振聰所指導 王旻揚的 應用反應曲面法於SKD11工具鋼線切割放電加工參數最佳化之研究 (2021),提出因為有 線切割放電加工、SKD11、反應曲面法的重點而找出了 respectively數學的解答。

接下來讓我們看這些論文和書籍都說些什麼吧:

除了respectively數學,大家也想知道這些:

Advances in Nonlinear Dynamics: Proceedings of the Second International Nonlinear Dynamics Conference (Nodycon 2021), Volume 1

為了解決respectively數學的問題,作者 這樣論述:

Walter LacarbonaraProf. Lacarbonara received his B.S. from Sapienza University of Rome, M.S. (Engineering Mechanics) from Virginia Tech (Blacksburg, VA, USA), and Ph.D. (Structural Engineering) from Sapienza University of Rome. He is currently a Professor at Sapienza University where he has been sin

ce 1998. His research interests cover nonlinear structural dynamics; asymptotic techniques; experimental nonlinear dynamics; nonlinear control of vibrations; multiscale modeling and dynamics of nanostructured and nonlinear materials.Bala BalachandranProf. Balachandran received his B. Tech (Naval Arc

hitecture) from the Indian Institute of Technology, Madras, India, M.S. (Aerospace Engineering) from Virginia Tech, Blacksburg, VA and Ph.D. (Engineering Mechanics) from Virginia Tech. Currently, he is a Professor of Mechanical Engineering at the University of Maryland, where has been since 1993.Mic

hael LeamyProf. Leamy received his B.S. from Clarkson University, his M.S. and Ph.D. from the University of Michigan, respectively. He is currently a Full Professor at Georgia Tech where he moved in 2007 as an Assistant Professor. His research interests are in emerging and multidisciplinary areas of

engineering science, with an emphasis on simulating nonlinear dynamical behaviors in structures and materials.Jun MaJun Ma received his Ph.D. from Huazhong Normal University for Theoretical Physics, China, in 2010. He is Professor of Physics at Lanzhou University of Technology, Department of Physic

s.J. A Tenreiro MachadoJ. A. Tenreiro Machado graduated with ’Licenciatura’ (1980), PhD. (1989) and ’Habilitation’ (1995), in Electrical and Computer Engineering at the University of Porto. Since 1998 he works at the Institute of Engineering, Polytechnic Institute of Porto, Dept. of Electrical Engin

eering where he is Principal Coordinator Professor.Gabor StepanGábor Stépán is a Professor of Applied Mechanics at Budapest University of Technology and Economics. He is member of the Hungarian Academy of Sciences and the Academy of Europe. He is the recipient of an ERC Advanced Grant. His research

interests include delayed dynamical systems, stability theory, and nonlinear vibrations.

父母親身體狀況與嬰幼兒先天性缺陷之關聯性研究

為了解決respectively數學的問題,作者陳悠祈 這樣論述:

隨著社會經濟壓力逐漸增大,晚婚生子成了趨勢。根據內政部人口統計,西元2019年台灣女性生育第一胎年齡在35歲以上者高達23%,約為西元2009年的2.4倍。高齡產婦的增加,導致妊娠糖尿病、羊水過多、懷孕引起之高血壓等妊娠風險上升,進而造成出生兒的先天性缺陷風險增加。近來,商業保險中的婦嬰險推展,不僅提供產婦保障,同時為新生兒帶來保障。且因應客戶需求,不再侷限於孩子一兩年短期的保障,也觀察其多年後的情形,加強對特定先天缺陷及相關住院、手術醫療面的給付。此外,一般保險公司在提供此保障時,產婦需要填寫健康告知聲明書,藉此預測未來承保的風險,然而父親對嬰幼兒先天缺陷隱含的潛在危險因子可能仍需

再列入考量。因此本研究期望透過「衛生福利部衛生福利資料科學中心」所提供之資料,藉由廣義線性模型,探討2004年至2017年0-7歲嬰幼兒之先天缺陷與父母親危險因子的關聯性。 研究顯示,觀察西元2004年至2017年的2,326,774位新生兒,其0-7歲罹患先天缺陷的機率為4.067%,當中約有20%的先天缺陷者於2歲後才發覺。在其他條件皆相同之下,父親年齡、母親年齡增加十歲時,則會分別使嬰幼兒其先天缺陷率提高為原本的1.013倍(95%CI=0.995-1.031)、1.185倍(95%CI=1.162-1.209)。而母親有任一懷孕危險因子所生育的嬰幼兒其先天缺陷率(例如:心臟疾病、

孕期抽煙、妊娠糖尿病)則是母親無任一懷孕危險因子的1.144倍(95%CI=0.995-1.314)-2.003倍(95%CI=1.932-2.077)之間。希望藉由本研究所得先天缺陷相關資訊,提供保險公司作為訂價上風險的評估,也使雙親藉由事先瞭解懷孕的危險因子能有效做好相關的預防措施,在生育的路上更加順利。

Advances in Nonlinear Dynamics: Proceedings of the Second International Nonlinear Dynamics Conference (Nodycon 2021), Volume 2

為了解決respectively數學的問題,作者 這樣論述:

Walter LacarbonaraProf. Lacarbonara received his B.S. from Sapienza University of Rome, M.S. (Engineering Mechanics) from Virginia Tech (Blacksburg, VA, USA), and Ph.D. (Structural Engineering) from Sapienza University of Rome. He is currently a Professor at Sapienza University where he has been sin

ce 1998. His research interests cover nonlinear structural dynamics; asymptotic techniques; experimental nonlinear dynamics; nonlinear control of vibrations; multiscale modeling and dynamics of nanostructured and nonlinear materials.Bala BalachandranProf. Balachandran received his B. Tech (Naval Arc

hitecture) from the Indian Institute of Technology, Madras, India, M.S. (Aerospace Engineering) from Virginia Tech, Blacksburg, VA and Ph.D. (Engineering Mechanics) from Virginia Tech. Currently, he is a Professor of Mechanical Engineering at the University of Maryland, where has been since 1993.Mic

hael Leamy Prof. Leamy received his B.S. from Clarkson University, his M.S. and Ph.D. from the University of Michigan, respectively. He is currently a Full Professor at Georgia Tech where he moved in 2007 as an Assistant Professor. His research interests are in emerging and multidisciplinary areas o

f engineering science, with an emphasis on simulating nonlinear dynamical behaviors in structures and materials.Jun MaJun Ma received his Ph.D. from Huazhong Normal University for Theoretical Physics, China, in 2010. He is Professor of Physics at Lanzhou University of Technology, Department of Physi

cs.J. A Tenreiro MachadoJ. A. Tenreiro Machado graduated with ’Licenciatura’ (1980), PhD. (1989) and ’Habilitation’ (1995), in Electrical and Computer Engineering at the University of Porto. Since 1998 he works at the Institute of Engineering, Polytechnic Institute of Porto, Dept. of Electrical Engi

neering where he is Principal Coordinator Professor.Gabor StepanGábor Stépán is a Professor of Applied Mechanics at Budapest University of Technology and Economics. He is member of the Hungarian Academy of Sciences and the Academy of Europe. He is the recipient of an ERC Advanced Grant. His research

interests include delayed dynamical systems, stability theory, and nonlinear vibrations.

應用反應曲面法於SKD11工具鋼線切割放電加工參數最佳化之研究

為了解決respectively數學的問題,作者王旻揚 這樣論述:

本研究的目的是要獲得SKD11合金工具鋼線切割放電加工的品質特性與加工參數間關聯的數學模型,實驗設備使用慶鴻機電的GX430L+線切割放電加工機,挑選的加工參數為脈衝時間(pulse on time, Ton)、休止時間(pulse off time, Toff)、伺服電壓(servo voltage, SV)及線張力(wire tension, WT)四項,每個參數有五個水準,實驗規劃共計三十組試驗。試片加工完成後,品質特性中的工件尺寸(L)、加工時間(TIME)、表面粗糙度(SR) 及錐度(A)與線切割加工參數間的關聯性用反應曲面法(Response surface methodolog

y, RSM)來解釋。為了驗證本實驗所獲得的數學模型準確性,找出兩組最佳化加工參數並加以驗證,發現預測值與試驗值非常接近。在四個加工參數中以脈衝時間(Ton)、伺服電壓(SV)對加工品質特性的影響較為顯著。最小表面粗糙度(SR)條件下,最佳化加工參數為Ton=5.5,Toff=10、SV=57、WT=8,預測的表面粗糙度值為2.203(µm)。而實驗的表面粗糙度值為2.056(µm),預測和實驗的表面粗糙度值(SR)誤差為1.62%。最短加工時間(TIME) 條件下,最佳化加工參數為Ton=6.5,Toff=8、SV=47、WT=10,預測的加工時間為1542秒(sec),而實驗的加工時間度為

1524秒(sec),預測和實驗的加工時間(TIME)誤差為1.18%。表面粗糙度(SR)預測值為2.000 (μm)、加工時間(TIME)最短,最佳化加工參數為Ton為5.5(*0.1µs)、Toff為10(*1.0µs)、SV為47(V)、WT為8(段數),預測加工時間為2006 (sec)。而實驗的加工時間度為1949 (sec),預測和實驗的加工時間(TIME)誤差為2.92(%)。而實驗的表面粗糙度為2.083 (μm),預測和實驗的表面粗糙度(SR)誤差為4.15(%)。而最小表面粗糙度(SR)值與初始值的表面粗糙度(SR)值相比較減少了1.30%,相同的最短加工時間(TIME)值

與初始值的加工時間(TIME)值相比較改善了24.70%。