• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.6 no.2
• /
• pp.207-213
• /
• 2002

Fingerprint has the characteristics that do not change with time and is unique to an individual. And fingerprint identification is considered the best choice for most biometric applications because of its accuracy, speed, reliability, non-intrusive interfaces and cost-effectiveness. In this paper, we applies fingerprint Identification to web site login to raise the quality of personal identification when we use e-commerce, internet banking, stock dealings, shopping mali, etc. The system implemented in this paper consists of embedded module to carry out fingerprint identification, web server and web site. Existing system carries out fingerprint identification in the web server, but the system Implemented in this paper carries out it in client. Therefore the loads of server are reduced and the confidence of internet service is improved because login is forbidden without fingerprint identification success.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.15 no.3
• /
• pp.35-41
• /
• 2015

In order to solve the problems that fingerprinting technologies and image identification technologies for digital music and videos identification scanned have not yet been enough to identify scanned cartoon books, the copyright project granted from the Korea Copyright Commission(Project title: Identification and Copy Protection Technology of Scanned Text/Comic Books) secured basic solutions for scanned cartoon books. The first result of the research project in 2013 was focused on the identification technology applied to abnormally scanned cartoon books. As subsequent research for the project, studies in the year of 2014 has been to provide solutions to identify cartoon books which abnormally scanned and occurred with transformations and distortions and solutions to protect the system from trials to devitalize functions of the identification system through various attacks. This paper is to propose a model for a system for identifying abnormally scanned cartoon books as a way of enhancing the identification rates for identifying abnormal bookscans and transformation attacks.

• KIPS Transactions on Computer and Communication Systems
• /
• v.2 no.12
• /
• pp.511-516
• /
• 2013

The cases of identification forgery and counterfeiting are increasing under the current identification system, which was established based on social conditions and administrative environments over 20 years ago. This leads to an increase of various criminal acts including illegal loan using fake ID and a number of damages caused out of good intentions that result in interference with the operations of public organizations. In addition, according to the advancement of information society, privacy protection has emerged as an important issue. However, ID card exposes individuals' personal information, such as names, resident registration numbers, photos, addresses and fingerprints, and thus the incidents associated with illegal use of personal information are increasing continuously. Accordingly, this study aimed at examining the issues of ID card forgery/counterfeiting and privacy protection and at proposing a next-generation identification system to supplement such weaknesses. The top priority has been set as prevention of forgery/counterfeiting and privacy protection in order to ensure the most important function of national identification system, which is user identification.

• Speech Sciences
• /
• v.12 no.4
• /
• pp.31-42
• /
• 2005

Recently, Gaussian Mixture Model (GMM), a special form of CHMM, has been applied to speaker identification and it has proved that performance of GMM is better than CHMM. Therefore, in this paper the speaker models based on GMM and a new GMM using the modified EM algorithm are introduced and evaluated for text-independent speaker identification. Various experiments were performed to evaluate identification performance of two algorithms. As a result of the experiments, the GMM speaker model attained 94.6% identification accuracy using 40 seconds of training data and 32 mixtures and 97.8% accuracy using 80 seconds of training data and 64 mixtures. On the other hand, the new GMM speaker model achieved 95.0% identification accuracy using 40 seconds of training data and 32 mixtures and 98.2% accuracy using 80 seconds of training data and 64 mixtures. It shows that the new GMM speaker identification performance is better than the GMM speaker identification performance.

• Journal of Institute of Control, Robotics and Systems
• /
• v.9 no.2
• /
• pp.124-130
• /
• 2003

The electro-hydraulic servo system with a servo valve is applied widely in force control. However, the composition of control system using a servo valve is difficult due to nonlinearities in the servo valve, such as square-root terms in flow equation. The electro-hydraulic servo system using a DDV(Direct Drive Valve) instead of a servo valve was proposed and it's characteristics was estimated. The DDV and whole system are modelled by parameter identification using the input-and-output data, then the models are verified by the comparison of simulation with experiment. Also, the state feedback controller has been designed based on this model, then the performance of the electro-hydraulic force servo system using a DDV is evaluated by simulation and experimental results.

• Journal of the Korean Society for Precision Engineering
• /
• v.15 no.4
• /
• pp.15-26
• /
• 1998

Full car model is needed for investigating as a entire dynamics of vehicle. In this study, 7DOF of full car model's dynamics is selected. This paper proposes the output feedback controller based on optimal control theory. Input data and output data from the optimal controller are used for neural network system identification of the suspension system. To do system identification, neural network which has robustness against nonlinearities and disturbances is adapted. This study uses back-propagation algorithm to train a multil-layer neural network. After obtaining a neural network model of a suspension system, a neuro-controller is designed. Neuro-controller controls suspension system with off-line learning method and multistep ahead prediction model based on the neural network model and a neuro-controller. The optimal controller and the neuro-controller are designed and then, both performances are compared through. For simulation, sinusoidal and rectangular virtual bumps are selected.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2003.11a
• /
• pp.614-618
• /
• 2003

This paper presents a system identification (SI) scheme in time domain using measured acceleration data. The error function is defined as the time integral of the least square errors between the measured acceleration and the calculated acceleration by a mathmatical model. Damping parameters as well as stiffness properties of a structure are considered as system parameters. The structural damping is modeled by the Rayleigh damping. A new regularization function defined by the L$_1$-norm of the first derivative of system parameters with respect to time is proposed to alleviate the ill-posed characteristics of inverse problems and to accommodate discontinuities of system parameters in time. The time window concept is proposed to trace variation of system parameters in time.

• The Journal of the Acoustical Society of Korea
• /
• v.26 no.3E
• /
• pp.80-86
• /
• 2007

In this paper, we utilize generalized warped filterbanks to improve the performance of speaker recognition systems. At first, the performance of speaker identification systems is analyzed by varying the type of warped filterbanks. Based on the results that the error pattern of recognition system is different depending on the type of filterbank used, we combine the likelihood values of the statistical models that consist of the features extracting from multiple warped filterbanks. Simulation results with TIMIT and NTIMIT database verify that the proposed system shows relative improvement of identification rate by 31.47% and 15.14% comparing it to the conventional system.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• v.21 no.7
• /
• pp.1156-1165
• /
• 1997

Complex modal testing is employed for the in-situ parameter identification of a four-axis active magnetic bearing system while the system is in operation. In the test, magnetic bearings are used as exciters as well as actuators for feedback control. The experimental results show that the directional frequency response function, which is properly defined in the complex domain, is a powerful tool for identification of bearing as well as modal parameters. It is also shown that the position and current stiffnesses can be accurately estimated using the relations between the measured forces, displacements, and currents.

• Journal of Ocean Engineering and Technology
• /
• v.13 no.4 s.35
• /
• pp.118-123
• /
• 1999

The mathematical model used in the simulation of ship's maneuvering contains the hydrodynamic coefficients, which are usually evaluated based on PMM model tests in the towing tank and used to predict ship's maneuvering performance when applied to the proto-type ship. The proper mathematical model has to be developed to predict ship's maneuvering motions with hydrodynamic coefficients very well. The mathematical model for PMM model tests is analyzed with identification program and the hydrodynamic coefficients and maneuvering motions by system identification we compared with those obtained directly from PMM model tests and sea trial. The mathematical model for PMM model tests was established and the magnitudes of ship's maneuvering coefficients were determined. When the identified values of coefficients were used to simulate the maneuvers, a very good agreement was obtained between the numerically simulated motion responses and those obtained from PMM model tests.