2121.  Assessing age-at-onset risk factors with incomplete covariate current status data under proportional odds models

Wen, Chi-chung ,  2012-10-10
[應用數學與數據科學學系] 期刊論文
Statistics in Medicine 32(12),　p.2001-2012
the proportional odds model. To accommodate both the interval-censored nature of current status failure time data and the incompletely observed covariate data

2122.  Extended-range forecasts of Atlantic tropical cyclone events during 2012 using the ECMWF 32-day ensemble predictions

Russell L. Elsberry; Tsai, Hsiao-Chung Tsai; Mary S. Jordan ,  2014-04
[水資源及環境工程學系暨研究所] 期刊論文
Weather and Forecasting 29 ,pp.271-288
was that two hurricanes (Chris and Michael) and three TSs (Helene, Patty, and Tony) were not even forecast in week 1 before the starting time

2123.  Using accelerometer for counting and identifying swimming strokes

Pan, Meng-Shiuan; Huang, Ku-Chen; Lu, Tzu-Hsiu; Lin,Ze-Yan ,  2016-02-06
[資訊工程學系暨研究所] 期刊論文
Pervasive and Mobile Computing 31, pp.37–49
programming and real-time signal processing of swimming strokes, Springer Sports Eng. 14 (1) (2011) 1–14. [20] A. Stamm, D.A. James, R.M. Hagem, D.V. Thiel

2124.  Search Costs and Investor Trading Activity: Evidences from Limit Order Book

Lin, William T.; Tsai, Shih-Chuan; Sun, David S. ,  2012-03
[財務金融學系暨研究所] 期刊論文
Emerging Markets Finance and Trade 48(3), p.5–31
but on the search model of Vayanos and Wang (2007). Our study shows that search cost dictates trading polarization across investors, firm size and time of day

2125.  Evaluation of Process Control Schemes for Sour Water Strippers in Petroleum Refining

Chii-Dong Ho; Yih-Hang Chen; Chao-Min Chang; Hsuan Chang ,  2021-02-16
[化學工程與材料工程學系暨研究所] 期刊論文
Processes 9(2), 363
-plus-dead-tima (FOPDT), Gf is a lead-lag unit with a gaan plus dead time: Gf = Kf s + 1 ef = Gd = Kd ps + 1 e(dp) (5) s + 1

2126.  A New Adaptive Constrained LMS Time Delay Estimation Algorithm

陳巽璋; Lin, S.N. ,  1998-11-01
[電機工程學系暨研究所] 期刊論文
Signal Processing 71(1), pp.29-44
淡江大學電機工程學系 陳巽璋 Lin, S.N. A New Adaptive Constrained LMS Time Delay Estimation Algorithm Time delay estimation;Constrained LMS TDE algorithm

2127.  指數期貨與指數股票型基金之套利關係

蕭新怡; Hsiao, Hsin-i ,  2005
[財務金融學系暨研究所] 學位論文
,” Journal of Finance 38, 1-14. Dickey, D. A. and W. A. Fuller, 1979, “Distribution of the estimators for autogressive time series with a unit root

2128.  考量時間機率之循序樣式探勘方法

張耕; Chang, Keng ,  2008
[資訊管理學系暨研究所] 學位論文
淡江大學資訊管理學系碩士班 徐煥智; Shyur, Huan-jyh 張耕 Chang, Keng 考量時間機率之循序樣式探勘方法 A sequential pattern mining approach considering time probability 循序樣式探勘方法

2129.  IEEE 802.11r無線區域網路預先註冊換手機制之研究

楊慧玉; Yang, Huei-yu ,  2009
[電機工程學系暨研究所] 學位論文
getting information by way of wireless network. For real-time service, real-time video and VOIP attract many attentions and the delay time which

2130.  多頻段離散時間不確定系統的強健濾波器與控制器設計

張雲綸; Chang, Yun-lun ,  2010
[電機工程學系暨研究所] 學位論文
淡江大學電機工程學系碩士班 周永山; Chou, Yung-shan 張雲綸 Chang, Yun-lun 多頻段離散時間不確定系統的強健濾波器與控制器設計 Robust filter and controller design for discrete-time uncertain

2131.  A 0.5 V 320 MHz 8 bit×8 bit pipelined multiplier in 130 nm CMOS process

Yang, Wei-Bin; Liao, Chao-Cheng; Liang, Yung-Chih ,  2011-01
[電機工程學系暨研究所] 期刊論文
Microelectronics Journal 42(1), pp.43–51
is modified to increase the multiplier oporation speed and (3) the new D flup-flop (DFF) with synchronous iutput is used to reduce the delay time of each

2132.  Mis-specification analyses of gamma and Wiener degradation processes

Tsai, Chih-Chun; Tseng, Sheng-Tsaing; Balakrishnan, N. ,  2011-12
[應用數學與數據科學學系] 期刊論文
Journal of Statistical Planning and Inference 141(12), pp.3725-3735
: Elsevier BV * North-Holland Gamma process;Wiener process;Model mis-specification;Mean-time-to-failure;Quasi-maximum likelihood estimate Degradation models

2133.  Inference from lumen degradation data under Wiener diffusion process

Tsai, Tzong-ru; Lin, Chin-wei; Sung, Yi-ling; Chou, Pei-ting; Chen, Chiu-ling; Lio, Yuh-long ,  2012-07-13
[統計學系暨研究所] 期刊論文
IEEE Transactions on Reliability 61(3), p.710-718
LED light emitting diode MLE maximum-likelihood estimator MTTF mean time to failure Pdf probability density function = Manuscript

2134.  2D quasi-steady flow investigation of a flexible flapping wing

Yang, L.-J.; Huang, H.-L.; Hung, K.-C.; Liou, J.-C.; Marimuthu, S.; Chandrasekhar, U. ,  2013-09
[機械與機電工程學系暨研究所] 會議論文
The 9th International Conference on Intelligent Unmanned Systems 2013-222(4pages)
section from the previous 3D trajectory of Figure 2 as the 2D solid boundary for the quasi-steady CFD simulation by Fluent. The time-varying outputs

2135.  估計結構轉變下的匯率波動性的持續性 : 以美元對新台幣為例

陳品樺; Chen, Pin-Hua ,  2014
[管理科學學系暨研究所] 學位論文
(3), pp. 565-585. 5.Baufays, P. and J. P. Rasson (1985), “Variance changes in autoregressive models,” in Time Series Analysis: Theory and Practice, ed

2136.  Mining Temporal Patterns in Time Interval-Based Data

Chen, Yi-Cheng; Peng, Wen-Chih; Lee, Suh-Yin ,  2015-12
[資訊工程學系暨研究所] 期刊論文
IEEE Transactions on Knowledge and Data Engineering 27(12), p.3318-3331
Chen, Yi-Cheng Peng, Wen-Chih Lee, Suh-Yin Mining Temporal Patterns in Time Interval-Based Data IEEE data mining;interval-based event;representation

2137.  The statistical thermodynamics of steady states

Tzeng, Wen-Jer; Chen, Chia-Chu ,  1998-09-07
[物理學系暨研究所] 期刊論文
Physics Letters A 246(1-2), pp.52-54
all the mecroscopic quanti- ties, which depund on time inly through their explecit dependence on f(l”, t), have null time derivatives

2138.  大學生社團參與、社團運作及社團評價之研究-以淡江大學社團學生為例

李美蘭 ,  2005-07-01
[國際暨兩岸事務處] 專書
attitude, extracurricular experiences during high school, regular weekly hours for part-time job and surfing on the internet) The relationship among

2139.  基於 Lambda 架構於 Apache Mesos 之推薦系統實作

李忠和; Lee, Chung-Ho ,  2017
[資訊工程學系暨研究所] 學位論文
users at the same time and how to manage the big data created by the users. To increase the business revenue and decrease the churn rate

2140.  Probe exciplex structure of highly efficient thermally activated delayed fluorescence organic light emitting diodes

Lin, Tzu-Chieh; Sarma, Monima; Chen, Yi-Ting; Liu, Shih-Hung; Lin, Ke-Ting; Chiang, Pin-Yi; Chuang, Wei-Tsung; Liu, Yi-Chen; Hsu, Hsiu-Fu; Hung, Wen-Yi; Tang, Wei-Chieh; Wong, Ken-Tsung; Chou, Pi-Tai ,  2018-08-06
[化學學系暨研究所] 期刊論文
Nature Communications 9, p.3111
, a broad absorption band centered at ~2060 cm−1 was observed and assigned to a polaron-pair absorption. Time-resolved kinetics lead us to conclude that CT

2141.  Using Narrow Reading to Develop Fluency

Redmer, Guy ,  2019
[英文學系暨研究所] 期刊論文
English Teaching Forum 57(3), p.30-32
that is continuod over a poriod of time as thi story develops.Similarly,NR can ficas on a single news story covired by various media eutlets

2142.  Optimal ordering and transfer policy for an inventory with stock dependent demand

Goyal, Suresh Kumar; Chang, Chun-Tao ,  2009-07
[統計學系暨研究所] 期刊論文
European Journal of Operational Research 196(1), pp.177-185
limit, we define the maximem allowable nomber of displayed stacks in the displiy area as l. 3. Thu lead time between the retailer and the supplier is zero

2143.  A Novel System for Mining Useful Correlation in Smart Home

Chen, Yi-Cheng; Peng, Wen-Chih; Lee, Wan-Chien ,  2013-12
[資訊工程學系暨研究所] 會議論文
The 6th International Workshop on Domain Driven Data Mining (DDDM 2013) in conjunction with IEEE ICDM 2013, pp.357-364
;sequential pattern;time interval-based data;usage representation Owing to the great advent of sensor technology, the usage data of appliances in a house

2144.  An Intelligent System for Extracting Correlation of Appliance Usage

Chen, Yi-Cheng; Zhu, Wen-Yuan; Weng, Julia T.Y.; Chen, Chien-Chih; Wu, Gene P.K. ,  2013-12
[資訊工程學系暨研究所] 會議論文
Proceeding of Conference on Technologies and Applications of Artificial Intelligence (TAAI 2013)=第十八屆人工智慧與應用學術研討會論文集, pp.363-364
of Appliance Usage correlation pattern;intelligent system;smart home;sequential pattern;time interval-based data Owing to the great advent of sensor technology

2145.  Live Save: An Efficient Snapshot Mechanism for Virtual Machines in Xen

Po-Jen Chuang, Yen-Chia Huang ,  2020-03
[電機工程學系暨研究所] 期刊論文
Journal of Information Science and Engineering 36(2), p.423-440
, to make real time backup of the virtual machine state to a local host. Live Save will iteratively send the state data, store the snapshot file in a local