• ETRI Journal
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• 제25권4호
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• pp.219-230
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• 2003

This paper describes a rule-based approach for syntactic disambiguation used by the English sentence parser in E-TRAN 2001, an English-Korean machine translation system. We propose Parser's Ambiguity Type Information (PATI) to automatically identify the types of ambiguities observed in competing candidate trees produced by the parser and synthesize the types into a formal representation. PATI provides an efficient way of encoding knowledge into grammar rules and calculating rule preference scores from a relatively small training corpus. In the overall scoring scheme for sorting the candidate trees, the rule preference scores are combined with other preference functions that are based on statistical information. We compare the enhanced grammar with the initial one in terms of the amount of ambiguity. The experimental results show that the rule preference scores could significantly increase the accuracy of ambiguity resolution.

• 교육녹색환경연구
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• 제10권2호
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• pp.8-19
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• 2011

This study is to clarify the actual conditions of school Facilities in the Rural Area. The aim of this thesis is to present the direction for Reorganization of school facilities. Research area was Uiseong, Gyeongbuk, the number of students decreased rapidly. And elementary, middle and high school facilities were surveyed. The results are as the follows; 1) After consider living zone, commuting distance, opinions of residents, it is advisable that the small size school(the number of students under 60) will be combined stronghold school. 2) In the case of relocation, first of all, should consider the characteristic of living zone, exchanging training programs between elementary and middle schools. 3) The closed school facilities will be used consistently as public facilities with priority consideration of environmental characteristic and users' demand.

• 대한후두음성언어의학회지
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• 제24권2호
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• pp.96-101
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• 2013

Laryngeal framework surgery (LFS) is a unique phonosurgical concept that enables us to influence the laryngeal biomechanics by changing the shape/position of the laryngeal cartilages. LFS procedures can be favorably combined with one another but also with other phonosurgical methods, and they are usually reversible and correctable. Type I thyroplasty and arytenoid adduction are still useful in spite of the recent popularity of injection laryngoplasty. Basic surgical principles have seldom been changed since Isshiki's development, but a number of modifications have been tried and are still going on. These delicate surgeries require exhaustive training, but the reward is great to both the surgeon and the patient.

• International Journal of Advanced Culture Technology
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• 제6권3호
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• pp.142-150
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• 2018

This paper describes the algorithm that lowers the dimension, maintains the object recognition and significantly reduces the eigenspace configuration time by combining the edge orientation histogram and principle component analysis. By using the detected object region as a recognition input image, in this paper the object recognition method combined with principle component analysis and the multi-layer network which is one of the intelligent classification was suggested and its performance was evaluated. As a pre-processing algorithm of input object image, this method computes the eigenspace through principle component analysis and expresses the training images with it as a fundamental vector. Each image takes the set of weights for the fundamental vector as a feature vector and it reduces the dimension of image at the same time, and then the object recognition is performed by inputting the multi-layer neural network.

• 한국멀티미디어학회논문지
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• 제21권4호
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• pp.471-477
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• 2018

As an important key technology using on electronic devices, face recognition has become one of the hottest technology recently. The traditional BP Neural network has a strong ability of self-learning, adaptive and powerful non-linear mapping but it also has disadvantages such as slow convergence speed, easy to be traversed in the training process and easy to fall into local minimum points. So we come up with an algorithm based on BP neural network but also combined with the PCA algorithm and other methods such as the elastic gradient descent method which can improve the original network to try to improve the whole recognition efficiency and has the advantages of both PCA algorithm and BP neural network.

• 한국멀티미디어학회논문지
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• 제21권4호
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• pp.478-484
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• 2018

The choice of the motion features influences the result of the human action recognition method directly. Many factors often influence the single feature differently, such as appearance of the human body, environment and video camera. So the accuracy of action recognition is restricted. On the bases of studying the representation and recognition of human actions, and giving fully consideration to the advantages and disadvantages of different features, the Dense Trajectories(DT) algorithm is a very classic algorithm in the field of behavior recognition feature extraction, but there are some defects in the use of optical flow images. In this paper, we will use the improved Dense Trajectories(iDT) algorithm to optimize and extract the optical flow features in the movement of human action, then we will combined with Support Vector Machine methods to identify human behavior, and use the image in the KTH database for training and testing.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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• pp.173-174
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• 2018

Recently, a growing number of accidents have taken place at construction sites, causing serious casualties. To prevent accidents or minimize damage, it is necessary to develop the safety precautions education is essential. However, the effects of safety education do not have as much effect as the importance of safety education. so As a new direction, we are looking forward to effective education by simulating realistic environments using VR. The safety training method used to experience and learn dynamic situations in a limited room wearing HMD is combined with VR. It will be the start of the construction industry going forward.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2002년도 가을 학술발표회 논문집
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• pp.62-69
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• 2002

With the development of CUP speed and graphic technology, real-time simulation of deformable object is embossed as an essential issue in engineering field. Recently, it has been applied to the surgical training and game animation with haptic force feedback. But real time simulation of deformable objects is not easy because of the conflicting demands of speed and low latency and physical accuracy. In this study, we present the implementation of boundary element method(BEM) which is combined with the nonuniform B-spline surface. It is working together with the real-time simulation technique and the geometry data is altered by handling control points without preprocessing routine.

• The Journal of Korean Physical Therapy
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• 제12권2호
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• pp.267-273
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• 2000

The 30 percent or more women who have urinary incontinence have some problem in contraction of perineal muscles. In fact. to increase the strength of perineal muscles, voluntary muscle contraction is more effective than electrical contraction. Electrical stimulation or bio feedback therapy is safe and effective therapy for Patients who have complex urinary incontinence. because these therapies can solve the problems of the voluntary perineal muscle contraction these therapies can help women to know to contract the perineal muscles effectively. The combined therapy ie. Electrical stimulation and bio feedback therapy with pelvic muscle training program or bladder drill can be considered as good treatment method. Pelvic floor muscle exercise is importance to make patient itself participate by making to be interested about exercise and by tacking motivations at therapy to themselves.

• 한국CDE학회논문집
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• 제14권6호
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• pp.382-389
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• 2009

Recently, knowledge management has been required in companies as a tool of competitiveness. Companies have constructed Enterprise Resource Planning(ERP) system in order to manage huge knowledge. But, it is not easy to formalize knowledge in organization. We focused on data mining system by genetic programming(GP). Data mining system by genetic programming can be useful tools to derive and extract the necessary information and knowledge from the huge accumulated data. However when we don't have enough amounts of data to perform the learning process of genetic programming, we have to reduce input parameter(s) or increase number of learning or training data. In this study, an enhanced data mining method combining Genetic Programming with Self organizing map, that reduces the number of input parameters, is suggested. Experiment results through a prototype implementation are also discussed.