• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.3
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• pp.50-59
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• 1993

There is basic problem with the current evaluation method for character recognition systems. The current method evaluates the average recognition rate by applying the test data to the target system. The average recognition rate tells no more than and no less than the overall performance and it depends on the data. In this paper we propose a testing method which will analyze the target system and point out its strong points and weak points. This can be made possible through using the data which are generated cy distorting the standard character images according to a carefully controlled manner. This paper will describe how to automatically generate such distorted images. Also we will show the method is actually effective and useful by applying it to evaluating existing recognition algorithms.

• The Journal of the Acoustical Society of Korea
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• v.18 no.2
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• pp.3-10
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• 1999

This paper describes the development and evaluation of a Korean address input system employing automatic speech recognition technique as user interface for input Korean address. Address consists of cities, provinces and counties. The system works on a window 95 environment of personal computer with built-in soundcard. In the speech recognition part, the Continuous density Hidden Markov Model(CHMM) for making phoneme like units(PLUs) and One Pass Dynamic Programming(OPDP) algorithm is used for recognition. For address recognition, Finite State Automata(FSA) suitable for Korean address structure is constructed. To achieve an acceptable performance against the variation of speakers, microphones, and environmental noises, Maximum a posteriori(MAP) estimation is implemented in adaptation. And to improve the recognition speed, fast search method using variable pruning threshold is newly proposed. In the evaluation tests conducted for the 100 connected words uttered by 3 males the system showed above average 96.0% of recognition accuracy for connected words after adaption and recognition speed within 2 seconds, showing the effectiveness of the system.

• Journal of Korean society of Dental Hygiene
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• v.11 no.2
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• pp.275-289
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• 2011

Objectives : The recognition rate for issues and improving resolution for the recuperation income expense claim policy was examined. Methods : 1,135 copies of survey have been sent to the group of people who have claimed the dental recuperation income expense to dental recuperation institutions in Daejeon, Chungcheong Do that are registered to the health insurance evaluation and estimation office as of the May 2010 and 207 surveys that were regarded to be sincere for answering were analyzed. Results : Majority of respondence were belonged to the dentist institutions with more than 5 years of claim experiences as well as 10~50% of claim rate. The recognition of medical fee evaluation guideline was normal level, and negative recognition was higher to the health center with daily charge policy compare to the dental hospital and university affiliated dental center with treatment charge policy, Highest opinion for inappropriateness of dentist with significance was found (p<0.05). The openness of evaluation cases are regarded to be discharged through the transparent evaluation and most of the opinions for insurance claim evaluation adjustment are within the both 'Do not understand the evaluation guideline and program error of disease category, code and program' with significance(p<0.05). The reaction after the evaluation adjustment was high in reflection on the claim process after examining the reason for the evaluation adjustment through the evaluation and estimation office and university affiliated dental institution and dental center was regarded to be most active and deputy reclaimment was seemed to be most actively discharge the objection registration task (p<0.05). The claim error improving resolution recognition was highly prioritized to the accurate charting for the disease title and treatment description, improving the setting of claim program, and most highly recognized by the university affiliated dental hospital/dental center and comparably low by health center(p<0.05). and although the most of the responds of treatment description and browsing the medical fee was positive, 50% of dentists disagreed the idea so that this was creating a significant discrepancy with other groups(p<0.05). Conclusions : From this research, the recognition of medical fee evaluation guideline for dental (university) hospital and dentists were negative and high adjustment experience was examined as lacking of evaluation guideline understanding and error of disease name, code and programs and deputy reclaimment, university affiliated dental hospital/dental center were most actively handle the objection registration tasks and dentists have objection on the treatment description and browsing the treatment fee so that if these indexes can be referred to implement into the recuperation income claim process, this can be regarded to be a opportunity to create mutual credibility between recuperation institution, treatment pensioner and the evaluation institutions.

• International Commerce and Information Review
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• v.13 no.3
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• pp.97-118
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• 2011

The Korea-Chile FTA talks began in December 1999 and concluded in October 2002, with official endorsement in April 2004. This FTA of a first for Korea, went into effect on April 1 in 2004. The purpose of this study to measure the Chile product evaluation in the Korean consumer after Korea-Chile FTA signed. The major result of article can be summarized as the follows: This paper investigates the determinants of 'product attitude', 'quality recognition', 'price recognition', 'use safety', 'use convenience', and 'design(appearance)'. There are 500 sended samples and 487 returns, 476 of them are analyzed for a entry competitiveness. In the analysis result of the article, The first, multiple regression result shows that the Chile goods evaluation are positively affected by the 'product attitude', 'price recognition', 'use safety', 'use convenience', and 'design(appearance)'. However, The 'quality recognition' factor do not affect in Chile goods evaluation.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.13-21
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• 2020

This study aims to provide the policy implications for the Korean government which has to attract foreign workers with higher education degrees in order to address shortage of human resources. As a way of doing this, the study has compared the foreign qualification evaluation and recognition (FQER) systems in Germany, Denmark and Norway. The results of the study reveal that the three countries are similar in that they have developed their own FQER systems according to the Lisbon Recognition Convention and has thus provided everyone with opportunities to have his/her qualifications evaluated fairly. However, there are differences in terms of the evaluation target, the recognition of prior learning and the linkage between the evaluation and employment approval for foreigners among the three countries. These cases altogether provide meaningful policy implications for the Korean government that has to develop its own FQER system in the near future.

• The Korean Journal of Health Service Management
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• v.3 no.2
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• pp.29-43
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• 2009

The purpose of this study is to provide basic material about the improvement method of the hospital evaluation system by grasping recognition, corresponding behavior to evaluation, influence and problems about the hospital evaluation system with respect to the employee of mid sized hospitals having relatively poorer environment. In this study were used 518 questionnaires to hospital employee working at 20 general hospitals in Pusan, Kyungnam with less than 500 beds and having experience of the hospital evaluation during 2005~2007. As a result of the research, they felt the investigation tool used for the hospital evaluation has too many items and it could be difficult to reflect characteristics of each hospital. It appeared that utilization of the report result after the hospital evaluation was helpful for grasping a part necessary for hospital improvement and the present level of hospitals and increase of interest about medical service quality improvement of the a hospital director or hospital employee. They trusted the result of the hospital evaluation to some degree, and recognized it helps the patients to select a hospital and increase rights-to-know. Hospital employee recognized the necessity and showed high interest and participation, but they didn't sympathize in the propriety and the feasibility of the hospital evaluation items. High degree evaluated hospital employee receive hospital evaluation system positively and think hospital services to be improve after taking hospital evaluation. The hospital evaluation should make the hospital to effort to achieve medical quality improvement to its purpose. Also, systematic reformation will be necessary to reflect characteristics of the hospital that has relatively small scale or locates in poor environment.

• Smart Structures and Systems
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• v.6 no.1
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• pp.39-56
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• 2010

Structural Control relies, with a great deal, on the ability of the control algorithm to identify the current state of the system, at any given point in time. When such algorithms are designed to perform in a smart manner, several smart technologies/devices are called upon to perform tasks that involve pattern recognition and control. Smart pattern recognition is proposed to replace/enhance traditional state identification techniques, which require the extensive manipulation of intricate mathematical equations. Smart pattern recognition techniques attempt to emulate the behavior of the human brain when performing abstract pattern identification. Since these techniques are largely heuristic in nature, it is reasonable to ensure their reliability under real life situations. In this paper, a neural network pattern recognition scheme is explored. The pattern identification of three structural systems is considered. The first is a single bay three-story frame. Both the second and the third models are variations on benchmark problems, previously published for control strategy evaluation purposes. A Neural Network was developed and trained to identify the deformed shape of structural systems under earthquake excitation. The network was trained, for each individual model system, then tested under the effect of a different set of earthquake records. The proposed smart pattern identification scheme is considered an integral component of a Smart Structural System. The Reliability assessment of such component represents an important stage in the evaluation of an overall reliability measure of Smart Structural Systems. Several studies are currently underway aiming at the identification of a reliability measure for such smart pattern recognition technique.

• 한국HCI학회:학술대회논문집
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• 2008.02c
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• pp.172-177
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• 2008

Biometrics is essential for person identification because of its uniqueness from each individuals. Face recognition technology has advantage over other biometrics because of its convenience and non-intrusive characteristics. In this paper, we will present a overview of face recognition technology including face detection, feature extraction, and face recognition system. For face detection, we will describe template based method and face component based approach. PCA and LDA approach will be discussed for feature extraction, and nearest neighbor classifiers -will be covered for matching. Large database and the standardized performance evaluation methodology is essential in order to support state-of-the-art face recognition system. Also, 3D based face recognition technology is the key solution for the pose, lighting and expression variations in many applications.

• Korean Journal of Artificial Intelligence
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• v.5 no.1
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• pp.10-17
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• 2017

This study is the first attempt to raise face recognition ability through machine learning algorithm and apply to CRM's information gathering, analysis and application. In other words, through face recognition of VIP customer in distribution field, we can proceed more prompt and subdivided customized services. The interest in machine learning, which is used to implement artificial intelligence, has increased, and it has become an age to automate it by using machine learning beyond the way that a person directly models an object recognition process. Among them, Deep Learning is evaluated as an advanced technology that shows amazing performance in various fields, and is applied to various fields of image recognition. Face recognition, which is widely used in real life, has been developed to recognize criminals' faces and catch criminals. In this study, two image analysis models, TF-SLIM and Inception-V3, which are likely to be used for criminal face recognition, were selected, analyzed, and implemented. As an evaluation criterion, the image recognition model was evaluated based on the accuracy of the face recognition program which is already being commercialized. In this experiment, it was evaluated that the recognition accuracy was good when the accuracy of the image classification was more than 90%. A limit of our study which is a way to raise face recognition is left as a further research subjects.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.4
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• pp.33-43
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• 2010

In this paper, we propose a floral scent recognition using odor sensors and a odor display using odor distribution system. Proposed odor recognition has method of correlation coefficient between sensors that select optimal sensors in floral scent recognition system of selective multi-sensors. Proposed floral scent recognition system consists of four module such as floral scent acquisition module, optimal sensor decision module, entropy-based floral scent detection module, and floral scent recognition module. Odor distribution system consists of generation module of distribution information, control module of distribution, output module of distribution. We applied to floral scent recognition for performance evaluation of proposed sensors decision method. As a result, application of proposed method with floral scent recognition obtained recognition rate of 95.67% case of using 16 sensors while applied floral scent recognition system of proposed sensor decision method confirmed recognition rate of 96% using only 8 sensors. Also, we applied to odor display of proposed method and obtained 3.18 thorough MOS experimentation.