821.  A fast-locking all-digital PLL with dynamic loop gain control and phase self-alignment mechanism for sub-GHz IoT applications

Wei-Bin Yang; Hsi-Hua Wang; Hsin-I Chang; Yu-Lung Lo ,  2020-03-06
[Graduate Institute & Department of Electrical Engineering] Journal Article
Japanese Journal of Applied Physics 59(SG), SGGL08
the phase self-alignment mechanism to resolve overdamping caused by a large KI. Therefore, the proposed ADPLL not only reduces locking time but also

822.  SurfNetv2: An Improved Real-time SurfNet and Its Applications to Defect Recognition of Calcium Silicate Boards

Chi-Yi Tsai; Hao-Wei Chen ,  2020-08-05
[Graduate Institute & Department of Electrical Engineering] Journal Article
Sensors 20(16), 4356
Chi-Yi Tsai Hao-Wei Chen SurfNetv2: An Improved Real-time SurfNet and Its Applications to Defect Recognition of Calcium Silicate Boards deep

823.  Effectiveness evaluation of Internet of Things-aided firefighting by simulation

Wang, Kuei Min; Hui, Lin ,  2020-03
[Department of Innovative Information and Technology] Journal Article
The Journal of Supercomputing 76(3), p.1383-1397
of the simulation model, the results showed that the search time ratios of unmanned aerial vehicle (UAV) to conventional firefighting for various levels

824.  Real-time FPGA-based balance control method for a humanoid robot pushed by external forces

Liu, Chih-Cheng; Lee, Tsu-Tian; Xiao, Sheng-Ru; Lin, Yi-Chung; Lin, Yi-Yang; Wong, Ching-Chang ,  2020-04-14
[Graduate Institute & Department of Electrical Engineering] Journal Article
Applied Sciences 10(8), 2699
Liu, Chih-Cheng Lee, Tsu-Tian Xiao, Sheng-Ru Lin, Yi-Chung Lin, Yi-Yang Wong, Ching-Chang Real-time FPGA-based balance control method for a humanoid

825.  A multi-location newsboy problem with lost sale depends on holding time

Chen, Ying-Chieh ,  2016-12
[Graduate Institute & Department of Statistics] Journal Article
Far East Journal of Mathematical Sciences 100(12), p.2019-2027
Chen, Ying-Chieh A multi-location newsboy problem with lost sale depends on holding time inventory;Poisson demand;newsboy problem;withdrawal rate

826.  Reactant Feeding Strategy Analysis of Sodium Borohydride Hydrolysis Reaction Systems for Instantaneous Hydrogen Generation

Yih‐Hang Chen; Jhih‐Cyuan Lin ,  2020-09-08
[Graduate Institute & Department of Chemical and Materials Engineering] Journal Article
Energies 13(18), 4674
derived and is a first-order transfer function. The time constant of this transfer function is a function of the reciprocal of the product of the reaction

827.  A collaborative filtering recommendation system with dynamic time decay

Chen, Yi-Cheng; Hui, Lin; Thaipisutikul, Tipajin ,  2020-04
[Department of Innovative Information and Technology] Journal Article
The Journal of Supercomputing 77, p.244–262
Chen, Yi-Cheng Hui, Lin Thaipisutikul, Tipajin A collaborative filtering recommendation system with dynamic time decay Collaborative filtering;Decay

828.  A parametric analysis for single machine scheduling with past-sequence-dependent setup times

Mani, V.; Chang, P. C.; Chen, S. H. ,  2010-03
[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article
International Journal of Innovative Computing, Information and Control 6(3A), p.1113–1121
functions this scheduling problem can be solved in O(n log n) time. In this paper, we extend the analysis of the problem with the total absolute

829.  Development of Effective Estimation of Distribution Algorithms for Scheduling Problems

Chen, Shih-hsin; Chen, Min-chih; Chang, Pei-chann; Qingfu, Zhang Yuh-min; Chen, Shih-hsin; Chen, Min-chih; Chang, Pei-chann; Zhang, Qingfu; Chen, Yuh-min ,  2009-08-10
[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding
computational time;effective eda algorithm;premature convergence;ea gga outperform acga;convergence speed analysis;population diversity;major idea

830.  Flutter speed prediction by using deep learning

Wang, Yi-Ren; Wang, Yi-Jyun ,  2021-11-18
[Graduate Institute & Department of Aerospace Engineering] Journal Article
Advances in Mechanical Engineering 13(11)
Network. Under such an architecture, the neurons in neural network can extract features from various flight data. Instead of time-consuming high