3181.  A novel design for a burn-in system

Li, Shin-an; Chiang, Jen-shiun; Liu, Ta-kang; Chen, Kuang-yuan; Wong, Ching-chang ,  2012-04-15
[Graduate Institute & Department of Electrical Engineering] Journal Article
Advance Science Letters 8, pp.106-111
leakage current will cause the higher junction temperature. The high junction temperature in the CMOS circuit may lead to thermal runaway and yield loss

3182.  Carry-Free Radix-2 Subtractive Division Algorithm and Implementation of the Divider

江正雄; Chiang, Jen-shiun; Chung, Hung-da; Tsai, Min-hsiu ,  2000-12-01
[Graduate Institute & Department of Electrical Engineering] Journal Article
淡江理工學刊=Tamkang journal of science and engineering3(4)，頁249-255
are used to find both quotient bit and partial remainder. Carries are usually generated in the addition operation, and it may take time to finish

3183.  Real-Time Feature Descriptor Matching via a Multi-Resolution Exhaustive Search Method

Tsai, Chi-Yi; Tsao, An-Hung; Wang, Chuan-Wei ,  2013-09-01
[Graduate Institute & Department of Electrical Engineering] Journal Article
Journal of Software, Vol. 8, No. 9, pp. 2197-2201.
Tsai, Chi-Yi Tsao, An-Hung Wang, Chuan-Wei Real-Time Feature Descriptor Matching via a Multi-Resolution Exhaustive Search Method 2013-09-01 en_US

3184.  Ultrasonic-based localization for mobile robots incorporating Zig-Bee modules

許陳鑑; Hsu, Chen-chien ,  2008-07
[Graduate Institute & Department of Electrical Engineering] Journal Article
Journal of Harbin Institute of Technology 15(2), pp.185-189
are instructed to transmit signals in a sequential order. The ultrasonic sensor in the robot can then measure the time-of-flight (TOF) without

3185.  Radix-8 New Svobota-Tung Divider with Carry Free Characteristic for Precsaling

余繁; Ye, Fun; 桂志顥; Kuei, Chih-hao; 江正雄 ; Chiang, Jen-shiun ,  2008-06-01
[Graduate Institute & Department of Electrical Engineering] Journal Article
淡江理工學刊=Tamkang journal of science and engineering 11(2)，頁185-194
characteristic is proposed for addition and subtraction, and this adder can improve the cycle time significantly. A radix-8 MROR divider by TSMC 0.25 m

3186.  Employing Variable Cross-Reference Prediction and Iterative Dispatch to Raise Dynamic Branch Prediction Accuracy

莊博任; Chuang, Po-jen; 邱育賢; Chiu, Yu-shian; 蕭永宗; HsiaoYoung-tzong; Liau, Yue-ter ,  2008-03-01
[Graduate Institute & Department of Electrical Engineering] Journal Article
淡江理工學刊=Tamkang journal of science and engineering 11(1)，頁37-48
desirable prediction accuracy, with reasonably low time complexity and no extra hardware cost, by variably cross-referring traces in the PHT to make

3187.  Muscle strength in ostensibly healthy non-diabetic subjects

Chiang, Chieh ,  2023-11-17
[Graduate Institute & Department of International Business] Journal Article
Journal of the Formosan Medical Association,　In Press
muscle strength changes of both upper and lower limbs at the same time among all age groups is rare. This study aims to investigate the muscle

3188.  The Impact of External Shocks on the Volatility of Stock Returns: New Evidence from four Developed Countries

Xie, Z.; Chen, S.-W.; Wu, A.-C. ,  2022-03
[Graduate Institute & Department of International Business] Journal Article
臺灣經濟預測與政策=Taiwan Economic Forecast and Policy 52(2), p.49-88
and permanent components at the same time. The high volatility of stock returns comes mostly from the transitory component of stock returns rather than

3189.  Hedging for multi-period downside risk in the presence of jump dynamics and conditional heteroskedasticity

Hung, Jui-cheng; Lee, Ming-chih ,  2011-04-11
[Graduate Institute & Department of Banking and Finance] Journal Article
Applied Economics 39(18),　p.2403-2412
of volatility clustering and price jumps, this study utilizes the ARJI model to compute time-varying hedge ratios. Finally, both in-sample and out-of-sample

3190.  CNTNF framework focus on forecasting and verifying network threats and faults

Chen, Hsia-hsiang ,  2025-01-11
[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article
Internet of Things 30,　101504
(ACC-R), and ATAVG of duration time (DUR-T) are 84.26 %, 88.03 %, and 11.38 s, respectively. Consequently, CNTNF is a stability framework based