http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Abdul Kadir Azidah,Abdul Kadir Arifah,A. H. Roslida,Abdul Manan Mat Jais,Julia Omar,Abdul Nawfar Sadagatullah,Azlina Ishak,Norhayati Mohd. Noor,Ahmad Tarmizi Musa 경희대학교 융합한의과학연구소 2017 Oriental Pharmacy and Experimental Medicine Vol.17 No.4
Knee osteoarthritis (OA) is the leading cause of chronic disability at older age. Channa striatus (CS) is a freshwater fish that is traditionally valued for its medicinal properties in promoting wound healing and reducing post-operative pain. This study evaluate the efficacy of different doses of oral Channa striatus extract on primary knee osteoarthritis patients. A randomized, double-blind, placebo-controlled 3-arm trial was conducted comparing oral CS extract 1000 mg/day or 500 mg/day and placebo among knee OA patients for a 6-month intervention period. The main outcome measures were Western Ontario and McMaster University Osteoarthritis Index (WOMAC), analgesic scores and serum cartilage oligomeric matric protein (COMP). Laboratory-based blood tests were used as safety measures. A total of 120 patients were randomized, and 112 patients were included in the intention-to-treat analysis. Significant reductions in WOMAC stiffness and function scores were achieved at month 6 in CS 1000 mg/day and CS 500 mg/day compared to placebo groups (p < 0.05). No significant differences were found between the groups in terms of analgesic scores, serum COMP and biochemical parameters. No serious adverse events were reported in the study. In conclusion, both doses of CS showed similar efficacy and were more effective than the placebo in treating the symptoms of knee OA.
A Spiral Curve Gait Design for a Modular Snake Robot Moving on a Pipe
Sheraz Yaqub,Ahmad Ali,Muhammad Usman,Khalil Muhammad Zuhaib,Abdul Manan Khan,안보영,문현기,이지영,한창수 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.10
Modular snake robot has the ability to maneuver narrow, complex, and unstructured environments. In recent years, Snake robot with 3-D locomotion has been studied by researchers for inspection of pipes, and stairs climbing etc. One of the effective approaches to accomplishing such complex tasks is by designing gaits for modular snake robot. In this paper, A Spiral curve gait along with rolling motion is proposed to adapt to the changes in the pipe diameter while moving on the pipe, which cannot be overcome by a simple helical rolling motion. The joint angles are calculated using Bellow’s model, based on the curvature and torsion of the backbone curve. We validated the proposed gait by simulating thirty degrees of freedom modular snake robot in Open Dynamics Engine simulator.
Loh Mun Yee,Abdul Manan Ahmad 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
Speaker recognition is a process where a person is recognized on the basis of his/her voice signals. In this paper we provide a brief overview for evolution of pattern classification technique used in speaker recognition. The most common approach to speaker recognition is the use of global Gaussian Mixture Model (GMM). The dominant advantages of GMM approach is that speaker identification can be performed in a completely text independent environment. Besides, GMM are base on probabilistic framework, it provide high-accuracy recognition. However, GMM techniques does not work well in some situation due to it behavior of ignores knowledge of the underlying phonetic content of the speech. To overcome those shortages, the new classification Model is generated. We introduce a new hybrid Vector Quantization / Gaussian Mixture Models (VQ/GMM) model to improve recognition rate of the speaker identification system in the paper. Besides, we also concerns about a comparison performance of hybrid VQ/GMM, DTW, VQ, GMM and SVM techniques for speaker identification. Topics of how we construct hybrid VQ/GMM for speaker identification and experimental result for these 5 techniques are presented in this paper. Experiments in this study were performed using TIMIT speech database. Experimental result shows that hybrid VQ/GMM gain the best result among 5 types of classifier.
Cheang Soo Yee,Abdul Manan Ahmad 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
This paper demonstrates a security of speaker recognition system using ANN-GDA as training model. Speaker Recognition (SP) is the use of a machine to recognize a person from a spoken phrase. These systems can operate in two modes: to identify a particular person or to verify a person’ claimed identity. Speech processing and the basic components of automatic, In Text-Independent Speaker Recognition (TI-SP), there is no constraint on the text during enrollment and perform a recognition system does not know text spoken by person. Test utterances can be completely different from enrollment utterances. In this paper, we study the applicability of Artificial Neural Network (ANNs), the technique Gradient descent with adaptive lr back-propagation perform a training of the network can be envisaged as the minimization of an error function En as core classifiers for Mel Frequency Cepstral Coefficients (MFCC). The Artificial Neural Network show better performance for speech and need less training data [1] and experiment result shows that the ANN model achieved highest accuracy.