• Annual Conference of KIPS
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• 2021.05a
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• pp.415-417
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• 2021

Since the words and words in Chinese sentences are continuous and the length of vocabulary is huge, Chinese NER(Named Entity Recognition) always based on character representation. In recent years, many Chinese research has been reconsidered how to integrate the word information into the Chinese NER model. However, the traditional sequence model has complex structure, the slow inference speed, and an additional dictionary information is needed, which is difficult to implement in the industry. The approach in this paper has the state of the art and parallelizable, which is integrated the char-word embeddings, so that the model learns word information. The proposed model is easy to implement, and outperforms traditional model in terms of speed and efficiency, which is improved f1-score on two dataset.

• Journal of The Korean Association For Science Education
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• v.28 no.3
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• pp.227-240
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• 2008

Cognitive conflict is well recognized as an important factor in conceptual change and is widely used in developing constructivism-based curricula. However, cognitive conflicts can also contribute to student anxiety during learning, which, when not properly addressed, can have negative impacts on students' motivation and achievement. Therefore, instructors need to be aware of the impacts of introducing cognitive conflicts in their instruction. We need a practical instrument that can help identify the existence and features of cognitive conflicts introduced by the instruction and the resulting anxiety. Based on the literature on studies of cognitive conflicts and student anxiety, we developed a quantitative instrument, the In-class Conflict and Anxiety Recognition Evaluation (iCARE), and used it to monitor the status of students' cognitive conflicts and anxiety in Physics by Inquiry (PBI) classes. In this paper, we introduce this instrument and present the types of information that can be obtained. Research and pedagogical values of this instrument are also discussed.

• Journal of Information Technology Applications and Management
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• v.30 no.4
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• pp.11-28
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• 2023

This paper proposes a method of integrating ChatGPT with traditional chatbot systems to enhance conversational artificial intelligence(AI) and create more efficient conversational systems. Traditional chatbot systems are primarily based on classification models and are limited to intent classification and simple response generation. In contrast, ChatGPT is a state-of-the-art AI technology for natural language generation, which can generate more natural and fluent conversations. In this paper, we analyze the business service areas that can be integrated with ChatGPT and traditional chatbots, and present methods for conducting conversational scenarios through case studies of service types. Additionally, we suggest ways to integrate ChatGPT with traditional chatbot systems for intent recognition, conversation flow control, and response generation. We provide a practical implementation example of how to integrate ChatGPT with traditional chatbots, making it easier to understand and build integration methods and actively utilize ChatGPT with existing chatbots.

• Clinical Endoscopy
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• v.55 no.5
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• pp.594-604
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• 2022

Over the past decade, technological advances in deep learning have led to the introduction of artificial intelligence (AI) in medical imaging. The most commonly used structure in image recognition is the convolutional neural network, which mimics the action of the human visual cortex. The applications of AI in gastrointestinal endoscopy are diverse. Computer-aided diagnosis has achieved remarkable outcomes with recent improvements in machine-learning techniques and advances in computer performance. Despite some hurdles, the implementation of AI-assisted clinical practice is expected to aid endoscopists in real-time decision-making. In this summary, we reviewed state-of-the-art AI in the field of gastrointestinal endoscopy and offered a practical guide for building a learning image dataset for algorithm development.

• Annual Conference of KIPS
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• 2007.05a
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• pp.395-396
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• 2007

ETRI 음성/언어정보연구센터에서는 분산음성인식을 위해 메모리를 작게 사용하며 속도가 빠른 음소인식기를 개발 중이다. 음향 모델, 언어 모델, 탐색 네트워크 등 고정되어 있는 정보는 인식기를 수행하기 이전에 미리 binary 형태로 구축하여 ROM 형태로 저장함으로써 실제 사용해야 할 RAM 용량을 대폭 줄일 수 있었다. Tied state에 기반한 triphone 모델에서는 unique HMM 만을 사용함으로써 인식시간 및 메모리 사용량을 대폭 줄일 수 있었다. Monophone 인식기의 경우 RAM 사용량이 179KB였으며, triphone 인식기의 경우 435KB의 RAM 사용량과 RTF(Real Time Factor) 0.02를 확인하였다.

• Sijohaknonchong
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• v.30
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• pp.9-20
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• 2009

The purpose of this study is to consider factors such as one's sight of viewing afar, expressional principles, and basic aesthetic category, which are treated importantly by the poets of the Joseon Dynasty era in appreciating nature. 'Afar' of the viewing afar is actual distance and aesthetic distance at the same time. Viewing afar is to find geographical features, depth, and details of a mountain, seeing the whole nature at a high place. Also, it can make possible escape from the external limitation of nature and get mental superiority and enhancement. Ultimately, viewing afar is to find out everlasting change of the nature and reason of natural creation. One's sight in viewing afar makes an appreciator's mind empty and calm, and it makes chance to harmonize human with nature. Viewing afar is to unite human nature to naturality beyond realistic value, idea, and artificiality. The mind from viewing afar has peacefulness and it is a state of serenity without any secular atmosphere. Viewing afar is an eye for beauty to leap toward an endless free state from narrow sight about objects. It rejects modification and technics in achieving an world of harmony. It means that objects should not be restrained by human's recognition. There are three expressions, which are high, horizontal, and transcendental viewing afar. The aesthetic category and beauty of peaceful mental state are realized by the expressions. The peaceful mental state makes peaceful mind from realistic conflicts and makes us experience a profound reason of nature.

• The Journal of Learner-Centered Curriculum and Instruction (JLCCI)
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• v.22 no.1
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• pp.7-45
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• 2018

Modern environmental problem that caused by the structure and system of human civil society threaten the ecological sustainability of the entire earth. Therefore it is an ecological crisis as a structural crisis. This ecological crisis is also a social crisis because it makes the survival of society difficult. Our society should aim and pursue an ecologically sustainable society because our response to this structural ecological-social crisis must be social-structured. Efforts to achieve an ecologically sustainable society call for fundamental and far-reaching changes in lifestyle, production and consumption patterns, and changes in the already established power structure that govern society today. It is necessary to pay attention to the new formulation of the constitutional law which is the legal basic order of the national community in the point that this fundamental and broad change must start from establishing the right relationship with nature. In this article, we present the principle of environmental state as a framework of constitutional norms for an ecologically sustainable society. According to M. Kloepfer, who in the late 1980s used the concept of an environmental state in Germany for the first time, the "state of the environment" refers to a "state (institution)" in which the inviolability of the environment is a measure and process goal of the state tasks and decisions. I would like to establish the environmental state as "a state that guarantees a balance between the social demands for nature and the maintenance of the natural living foundations and forms it together. In this context, I intend to establish the components of environmental state principles as follows. First, the ideological foundation of the environmental state is to respect the life community on earth, which consists of human beings and non-human beings, and to intrinsic value of nature, and to harmony with nature. In addition, the key tasks of environmental states are to secure environmental rights, responsibility for the global ecosystem and future generations, and recognition of the interests of animals. As a core social system for realizing this environmental state principle I would like to present (i) the economic order, (ii) the sustainable maintenance and management of the land and natural resources, and (iii) the agricultural and fishery industries and local communities.

• Journal of Family Resource Management and Policy Review
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• v.9 no.3
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• pp.97-112
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• 2005

This research has studied the people's perception and understanding of the 'Healthy Family Act' that has been enacted and practised from the year 2005. For this purpose, a survey has been conducted during October 2004 in several central and local cities in Korea, including Seoul, and a total of 741 samples have been used for the final analysis. The results of this study is as follows. The participants showed a very low level of recognition of the 'Healthy Family Act', and they Perceived that establishing a home-friendly atmosphere was of primary importance among the tasks that should be conducted by the State and local governments to encourage 'healthy families' The participants chose 'supporting the mental & physical health of family members' for the government supporting programs to make healthy families, and chose 'healthy life cultures such as clothes, food, and housing' for the government programs to support the everyday living cultures of the people. 1 Two thirds(2/3) of the participants indicated a willingness to participate in voluntary activities, and more than half of the participants said that they will participate in educational programs. Also, the participants indicated that divorce counselling should be offered only to the people who want the counselling, and as far as 'contents' are concerned, the participants indicated that 'the upbringing of children' should be the most important subject of the counselling. Finally, the participants indicated a willingness of participating educational programs in the order of parent education, family ethics education, realization of family values and family life education.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.8
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• pp.66-74
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• 2014

Recently a variety of study of Korean parsing system is carried out by many software engineers and linguists. The parsing system mainly uses the method of machine learning or symbol processing paradigm. But the parsing system using machine learning has long training time because the data of Korean sentence is very big. And the system shows the limited recognition rate because the data has self error. In this thesis we design system using feature module which can reduce training time and analyze the recognized rate each the number of training sentences and repetition times. The designed system uses the separated modules and sorted table for binary search. We use the refined 36,090 sentences which is extracted by Sejong Corpus. The training time is decreased about three hours and the comparison of recognized rate is the highest as 84.54% when 10,000 sentences is trained 50 times. When all training sentence(32,481) is trained 10 times, the recognition rate is 82.99%. As a result it is more efficient that the system is used the refined data and is repeated the training until it became the steady state.

• The Journal of the Acoustical Society of Korea
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• v.23 no.1
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• pp.75-81
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• 2004

Gaussian selection (GS) is a popular approach in the continuous density hidden Markov model for fast decoding. It enables fast likelihood computation by reducing the number of Gaussian components calculated. In this paper, we propose a new GS method for the phonetic tied-mixture (PTM) hidden Markov models. The PTM model can represent each state of the same topological location with a shared set of Gaussian mixture components and contort dependent weights. Thus the proposed method imposes constraint on the weights as well as the number of Gaussian components to reduce the computational load. Experimental results show that the proposed method reduces the percentage of Gaussian computation to 16.41%, compared with 20-30% for the conventional GS methods, with little degradation in recognition.