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Development of an Acceleration Plethysmogram based Cardioid Graph Biometric Identification
Khairul Azami Sidek,Munieroh Osman,Siti Nurfarah Ain Mohd Azam,Nur Izzati Zainal 보안공학연구지원센터 2016 International Journal of Bio-Science and Bio-Techn Vol.8 No.3
The increasing identity theft cases are alarming which puts biometric as the alternative solution to combat identity crime. Recently, biosignals are proposed as biometric modalities. Thus, in this study, the development of an Acceleration Plethysmogram (APG) based Cardioid graph biometric identification is presented. A total of 10 Photoplethysmogram (PPG) data from MIMIC II Waveform Database (MIMIC2WDB) with sampling frequency of 125 Hz were obtained. The datasets are later converted to APG signal by the second order differentiation and preprocessed with Butterworth filter. Then, Cardioid based graph of APG signal was generated. Its centroid and Euclidean distance are calculated. Finally, classification is done by applying these extracted features to Multilayer Perceptron (MLP) and Naïve Bayes neural networks classifiers. Our experimentation results show that subject recognition is possible by obtaining classification accuracy of 95% for APG based Cardioid graph for both classifiers while only 85% and 70% for PPG signal in MLP and Naïve Bayes classifiers. These outcomes indicate that APG based Cardioid graph biometric identification is a feasible solution to overcome identity fraud.
Khairul Anam,Prihastono,Handy Wicaksono,Rusdhianto Effendi,Indra Adji S,Son Kuswadi,Achmad Jazidie,Mitsuji Sampei 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper proposes hybridization of fuzzy Q-learning and behavior-based control for autonomous mobile robot navigation problem in cluttered environment with unknown target position. The fuzzy Q-learning is incorporated in behavior-based control structure and it is considered as generation of primitive behavior like obstacle avoidance and target searching. The simulation result demonstrates that the hybridization enables robot to be able to learn the right policy, to avoid obstacle and to find the target. Real implementation of this hybridization shows that the robot was able to learn the right policy i.e. to avoid obstacle.
Khairul Saleh,Hafiz Fukhar-ud-din 강원경기수학회 2020 한국수학논문집 Vol.28 No.4
We prove a fixed point theorem for generalized asymptotic pointwise nonexpansive mapping in the setting of a hyperbolic space. A one-step iterative scheme approximating common fixed point of two generalized asymptotic pointwise (quasi-) nonexpansive mappings in this setting is provided. We obtain $\triangle -$convergence and strong convergence theorems of the iterative scheme for two generalized asymptotic pointwise nonexpansive mappings in the same setting. Our results generalize and extend some related results in the literature.
Wealth Creation through Service Innovation Design in Malaysia
Khairul Aidil Azlin Abd Rahman,Ahmad Zuhairi abdul Majid,Nazlina Shaari 한국디자인학회 2010 한국디자인학회 학술발표대회 논문집 Vol.2010 No.10
Innovation serves as a competitive advantage that allows company to dominate a particular market segments. Innovation is the key in extending market share but also to increase commercial gains. The key to innovation are not only market and technology but service innovation design. The changes of innovation design from functional design are to fulfilling the physical needs and feeling design to fulfill the experience needs. However, service innovation design is to fulfilling the integrity needs that enable consumer to enjoy the services that are important in their lives. The service industry is highly regional in nature; it should be framed in relation to regional revitalization as well. The service industry is important in that it creates employment for the region while at the same time increasing the region's brand power. This paper will present a conceptual frame work of service innovation design in Malaysia.