• The Journal of Korean Association of Computer Education
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• v.10 no.3
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• pp.67-73
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• 2007

In this paper, we review essential constituents of a dialogue interface system and propose practical methods to implement the each constituent. The implemented system consists of a discourse manager, an intention analyzer, a named entity recognizer, a SQL query generator, and a response generator. In the progress of implementation, the intention analyzer uses a maximum entropy model based on statistics because the domain dependency of the intention analyzer is comparatively low. The others use a simple pattern matching method because they needs high domain portability. In the experiments in a schedule arrangement domain, the implemented system showed the precision of 88.1% in intention analysis and the success rate of 83,4% in SQL query generation.

• Journal of IKEEE
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• v.22 no.4
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• pp.1180-1187
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• 2018

This paper had implemented the underwater stage through interaction with fish robots and visitors in the background of traditional fairy tales using 3D floating hologram in an aquarium. The recognition of the object position of the spectator and the underwater robot were performed using the color recognition algorithm. Also, the position tracking algorithm was proposed to follow the object of the visitor and the original fairy tale. This experimental system consists of fish robot, camera, KIOSK for underwater robot control and beam project for underwater imaging. This experiment was carried out by the National Busan Science Museum, and it had satisfied the performance of the underwater stage.

• (The)Study of the Eastern Classic
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• no.71
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• pp.129-146
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• 2018

Choi Han-gi(崔漢綺)'s system of ideas is roughly called Ki-philosophy(氣哲學) because he presupposes ki(氣) as the foundational element as well as operational agent of the whole universe. Choi suggests that each extant entity should try to approximate itself to the greater cosmic operation and changes[大氣運化], thus achieving an harmonious unity with ilki(一氣), the ultimate originator as well as principle of the universe. In order to make this happen, he proposes that one execute chuchik(推測), a kind of empirical reasoning, which is gradually sharpened through expanding and accumulating his experiences of the outer world. Continuous practicing of chuchik(推測) helps one enlarge his conceptual, experiential and existential horizon much more greatly than could otherwise be possible. Such an expansion of the self naturally brings about one's ultimate development as an ethical, responsible, sociable and even cosmic being. Seen in this respect, chuchik(推測) is not simply a cognitive maneuver but a powerful catalyst which help bind all entities under heaven in a great harmonious whole.

• Annual Conference on Human and Language Technology
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• 2004.10d
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• pp.46-52
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• 2004

본 논문에서는 질의-응답 시스템의 질의에서 많이 나타나는 시간 표현을 인식하고, 인식한 시간 표현에 대해서 정규화 하는 방법을 제안한다. 본 논문에서 사용하는 질의-응답 시스템의 도메인은 TV방송 스케줄, 날씨 정보이며, 이러한 도메인에서는 시간 표현이 매우 빈번하게 사용되기 때문에 질의에 나타나는 시간 표현을 정확하게 인식해서 정규화 하는 것이 중요하다. 제안하는 방법은 시간 표현을 의미와 기능에 따라 분류하고 각 유형마다 적절한 인식 및 정규화 기법을 사용한다. 질의에서 시간 표현은 시간 개체명 태거. 품사 태거, 시간 파서를 사용하여 인식하고, 시간 추론기와 시간 표현 사전을 이용하여 정규화 한다. TV방송 스케줄과 날씨 정보 도메인의 280개 질의에서 184개의 시간표현을 이용하여 평가한 결과, 시간 표현의 인식과 정규화는 각각 93%와 96%의 정확률, 97%와 93%의 재현율을 보였다.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.4
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• pp.77-97
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• 2017

A recent sharp increase of the biomedical literature causes researchers to struggle to grasp the current research trends and conduct creative studies based on the previous results. In order to alleviate their difficulties in keeping up with the latest scholarly trends, numerous attempts have been made to develop specialized analytic services that can provide direct, intuitive and formalized scholarly information by using various text mining technologies such as information extraction and event detection. This paper introduces and evaluates total 8 Convolutional Neural Network (CNN) models for extracting biomedical events from academic abstracts by applying various feature utilization approaches. Also, this paper conducts performance comparison evaluation for the proposed models. As a result of the comparison, we confirmed that the Entity-Type-Fully-Connected model, one of the introduced models in the paper, showed the most promising performance (72.09% in F-score) in the event classification task while it achieved a relatively low but comparable result (21.81%) in the entire event extraction process due to the imbalance problem of the training collections and event identify model's low performance.

• Journal of Wetlands Research
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• v.23 no.2
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• pp.116-121
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• 2021

This study is the first official report on the wild habitats of alien species, Yellow-spotted Amazon River Turtle (Podocnemis unifilis) in Republic of Korea. On July 24, 2020, two P.unifilis were observed basking on rocks at 33°30'20.08"N 126°38'0.23"E, Waheul-ri, Jocheon-eup, Jeju-si, Jeju. One individual had a yellow spots on the head where as the other contains black spot. Our observatory site is close to road and easy access to people. Thus, these individuals were believed to be released in the pond after raising as pets. Recently, the number of alien turtles identified in wild(etc. lake, resevoir) is increasing, which is predicted to damage the aquatic ecosystem due to the inflow of exotic turtles. So, it is necessary to improve the people's awareness of alien species through citizen science projects and environmental education. We suggest that research on habitat adaptation, reproduction and management through continuous monitoring is needed in the future.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.99-106
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• 2022

In this paper, We propose a method for identifying objects by setting inscriptions and landmarks of dogs. The phenomenon of abandoning dogs is on the rise, and the number of abandoned individuals is also rapidly increasing. These abandoned dogs are becoming wild animals, causing a lot of damage to people's daily life, causing serious problems. As a solution to this problem, the animal registration system is being implemented, but there is a phenomenon that some dog owners avoid the registration method that inserts a chip, so the complete registration system is not settled. When registering a dog, removing the avoidance of dog owners will help establish the companion animal registration system. In this paper, we present a technique to identify objects by setting inscriptions and landmarks of dogs so that dog owners can register their dogs in a friendly way to eliminate this avoidance phenomenon.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.253-266
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• 2018

This paper proposes a methodology applying sequence tagging methodology to improve the performance of NER(Named Entity Recognition) used in QA system. In order to retrieve the correct answers stored in the database, it is necessary to switch the user's query into a language of the database such as SQL(Structured Query Language). Then, the computer can recognize the language of the user. This is the process of identifying the class or data name contained in the database. The method of retrieving the words contained in the query in the existing database and recognizing the object does not identify the homophone and the word phrases because it does not consider the context of the user's query. If there are multiple search results, all of them are returned as a result, so there can be many interpretations on the query and the time complexity for the calculation becomes large. To overcome these, this study aims to solve this problem by reflecting the contextual meaning of the query using Bidirectional LSTM-CRF. Also we tried to solve the disadvantages of the neural network model which can't identify the untrained words by using ontology knowledge based feature. Experiments were conducted on the ontology knowledge base of music domain and the performance was evaluated. In order to accurately evaluate the performance of the L-Bidirectional LSTM-CRF proposed in this study, we experimented with converting the words included in the learned query into untrained words in order to test whether the words were included in the database but correctly identified the untrained words. As a result, it was possible to recognize objects considering the context and can recognize the untrained words without re-training the L-Bidirectional LSTM-CRF mode, and it is confirmed that the performance of the object recognition as a whole is improved.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.5
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• pp.90-102
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• 2022

In recent years, as interest in healing increases, outdoor spaces with the concept of healing have been created. For more professional and in-depth planning and design, the perception and characteristics of outdoor healing places through social media posts were analyzed using NER. Text mining was conducted using 88,155 blog posts, and frequency analysis and clique cohesion analysis were conducted. Six elements were derived through a literature review, and two elements were added to analyze the perception and the characteristics of healing places. As a result, visitors considered place elements, date and time, social elements, and activity elements more important than personnel, psychological elements, plants and color, and form and shape when visiting healing places. The analysis allowed the derivation of perceptions and characteristics of healing places through keywords. From the results of the Clique, keywords, such as places, date and time, and relationship, were clustered, so it was possible to know where, when, what time, and with whom people were visiting places for healing. Through the study, the perception and characteristics of healing places were derived by analyzing large-scale data written by visitors. It was confirmed that specific elements could be used in planning and marketing.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.5
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• pp.141-146
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• 2007

Barcodes have been widely used to implement automatic identification systems but there are various problems such as security weakness or distance restriction in scanning barcode signals in a barcode-based automatic identifcation systems. Recently researchers are gradually interested in radio frequency identification (RFID) and RFID systems have been applied to various fields than before. Especially one of RFID application fields, a bank system uses RFID tagged bankontes to prevent illegal transactions such as counterfeiting banknotes and money laundering. In this paper, we propose a RFID system for protecting location provacy of a banknote holder. In addition, our paper describes that a trust party can trace a counterfeit banknote holder to provide against emergencies.