Kuo C.-C.,National Chiao Tung University |
Hsieh J.-W.,Taiwan Technology |
Chang L.-P.,National Chiao Tung University
Proceedings - 1st International Workshop on Cyber-Physical Systems, Networks, and Applications, CPSNA 2011, Workshop Held During RTCSA 2011 | Year: 2011
Solid-state disks use flash memory as their storage medium, and adopt a firmware layer that makes data mapping and wear leveling transparent to the hosts. Even though solid-state disks emulate a collection of logical sectors, the I/O delays of accessing all these logical sectors are not uniform because the management of flash memory is subject to many physical constraints of flash memory. This work proposes a collection of black-box tests can detect the geometry inside of a solid-state disk. The host system software can arrange data in the logical disk space according to the detected geometry information to match the host write pattern with the device characteristic for reducing the flash management overhead in solid-state disks. © 2011 IEEE.
Wang H.-C.,Taiwan Technology |
Chen Y.-Y.,Grad Institute Of At |
Cheng W.-H.,Academia Sinica, Taiwan |
Sun S.-W.,University of Taipei |
Hua K.-L.,Taiwan Technology
ACM International Conference Proceeding Series | Year: 2014
H.264/AVC belongs to block-based coding category. For the H.264/AVC intraframe coding, a frame is first divided into non-overlapped blocks, and then intra prediction and the DCT-like transform are applied block by block. For the inter frame coding, H.264/AVC employs variable-block-size for motion compensation and transform stages that can significantly improve the coding performance compared with previous video coding standards. However, for the transform stage of intraframe coding, H.264/AVC only provides two fixed transform block sizes: 4 × 4 and 8 × 8 blocks. In this paper, we propose to employ two massive dictionaries (dyadic and multitree) of representations to improve the efficiency of H.264/AVC intraframe coding. In addition, the corresponding rate-distortion cost function and a fast search algorithm are introduced to incorporate the massive dictionaries into the transform stage. The experimental results show that the proposed method outperforms H.264/AVC in terms of both subjective and objective evaluations. Copyright 2014 ACM.
Liao K.-W.,Taiwan Technology |
Lu H.-J.,Taiwan Technology
Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 | Year: 2013
Bridge scour potential evaluation involves many uncertainties, a probabilistic approach is therefore, adopted in this study. An existing preliminary assessment procedure is improved via the use of a Bayesian network (BN). BNwas constructed on the basis of experts'opinions aimed to systematically and probabilistically evaluate the scour potential at bridge sites. © 2013 Taylor & Francis Group, London.
Tseng T.-Y.,Taiwan Technology |
Hsu W.-C.,Graduate Institute of Biomedical Engineering |
Lin L.-F.,Shuang Ho Hospital |
Kuo C.-H.,Taiwan Technology
Proceedings of the ASME Design Engineering Technical Conference | Year: 2015
In lower-limb rehabilitation programs, patients that suffer from neuromuscular disorders with manual muscle test (MMT) level 2 are able to perform voluntary muscle contraction and visible limb movement provided that a therapist assists the patient to eliminate the weight of his/her leg. In addition, the physical therapist is clinically needed to guide the patient performing a hip-only or knee-only motion during rehabilitation. The objective of this paper is to present a new assistive training device that replaces the function of the therapist in helping the MMT-level-2 patients self-training their hip and knee flexion/extension motions under an antigravity environment. First, we will present a novel reconfigurable mechanism, which can possess two working configurations for guiding the knee-only and hip-only training, respectively. Then, based on the theory of static balancing, two linear springs are attached to the device to generate an antigravity training environment in both configurations for the patient. The static balance design is verified by a numerical example with the support of software simulation. A prototype is built up and tested on healthy subjects. By using the electromyography (EMG) measurement, the myoelectric signals of four major muscles for the subject with/without the aid of the device are analyzed. The results show that the myoelectric voltages of the stimulated muscles are significantly reduced when the subject is assisted with the device. It further demonstrates that moving the fixation positions of the limb segments to other positions could distinctly reduce the assistive force from the device, which suggests multiple training modes to the patients in strengthening the training intensity. In conclusion, this paper presents a successful pioneering work on the design of rehabilitation devices via the integration of the principles of reconfigurable mechanisms and static balancing. Copyright © 2015 by ASME.
Chia P.-C.,Taiwan Technology |
Lee C.-H.,Taiwan Technology |
Chen T.-S.,Taiwan Technology |
Kuo C.-H.,Taiwan Technology |
And 2 more authors.
Proceedings 2011 International Conference on System Science and Engineering, ICSSE 2011 | Year: 2011
Prevention of falling down is an important issue in aging society, so accurate measurement of falling down is also important. The signal of falling down is generally collected from a 3-axis accelerometer which is placed on an individual's chest. Then, the collected signals will be further analyzed to develop the algorithms for falling detections. Nevertheless, it is difficult to collect the signals when people fall down due to the reason that falls may cause serious injuries to the individuals. Hence, the individual may perform the falls in slow motions to prevent them having serious injuries. Therefore, this paper proposes a simulation system with a 3-axis accelerometer and a small size biped humanoid robot. A 3-axis accelerometer is placed on the chest of a biped humanoid robot to measure the falling signals. The signals collected from the individual are compared with the signals collected from a biped robot for evaluating the correlations of falling signals. The results of experiments showed that positive correlations appear between the biped robot and the human beings for typical falls. Therefore, the proposed approach would be helpful to provide useful sensor signals of falls for realistic falling down detections. © 2011 IEEE.