• Journal of Korean Library and Information Science Society
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• v.43 no.1
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• pp.123-141
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• 2012

The purpose of this study is to examine the possibility of using the WorldCat, an International Union Catalog operated by OCLC as a tool for analyzing the trend of knowledge distribution in libraries around the world. In this study, four subject keywords, that is, Korea, Korean, Japan, and Japanese, were used to search materials related to Korea and Japan, and four facets, including medium, genre, language, and user level, were used to categorize search results from the WorldCat. The result shows that information resources related to Korea held by libraries around the world are only a little more than a third of Japan-related information resources. Especially Korea-related information resources for juveniles are less in numbers and lack in diversity in languages, media and genres, when compared with Japan-related information resources. Also an examination of two bibliographic records demonstrates that viewpoints expressed in user contributed reviews might affect diffusion of knowledge on certain subjects in the Next Generation Library Catalog.

• The Korean Journal of Applied Statistics
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• v.37 no.2
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• pp.239-253
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• 2024

This research applies both point-wise and pair-wise learning strategies within the learning-to-rank (LTR) framework to predict horse race rankings in Seoul. Specifically, for point-wise learning, we employ a linear model and random forest. In contrast, for pair-wise learning, we utilize tools such as RankNet, and LambdaMART (XGBoost Ranker, LightGBM Ranker, and CatBoost Ranker). Furthermore, to enhance predictions, race records are standardized based on race distance, and we integrate various datasets, including race information, jockey information, horse training records, and trainer information. Our results empirically demonstrate that pair-wise learning approaches that can reflect the order information between items generally outperform point-wise learning approaches. Notably, CatBoost Ranker is the top performer. Through Shapley value analysis, we identified that the important variables for CatBoost Ranker include the performance of a horse, its previous race records, the count of its starting trainings, the total number of starting trainings, and the instances of disease diagnoses for the horse.

• The Journal of the Korea Contents Association
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• v.11 no.4
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• pp.92-100
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• 2011

In this paper, we propose a novel blind digital watermarking method based on a cellular automata transform (CAT). CAT is based on dynamic systems known as cellular automata(CA) and uses transform bases which are differently defined by a rule number, the number of neighbors, the number of cells, and an initial state, etc. The proposed CAT based method is compared with a blind watermarking method based on DWT which is commonly used for a domain transform in signal processing. We analyse properties on changes of DWT coefficients and CAT coefficients under various attacks and determine optimal parameters for a watermarking method robust to attacks. The simulations show that the watermarked images with high PSNR and MSSIM look visually identical to originals and are robust against most of typical image processing attacks. Moreover, the proposed CAT based watermarking method is superior to the DWT based one in robustness to most of typical image processing attacks including JPEG compression, median and average filtering, scaling, cropping, and histogram equalization.

• The KIPS Transactions:PartA
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• v.13A no.2 s.99
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• pp.147-156
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• 2006

Recently, streaming service accounts for large part of internet traffic and it is becoming the most popular service. Because of P2P's scalability, P2P-based streaming system is proposed. There are frequent leave and join of a node. To overcome the group dynamics, Multiple Multicast Trees Methods were suggested. However, since they did not consider discrepancy in peers' capacity, it may cause the trees to be long and unstable. So we suggest Resilient Capacity-Aware Multicast Tree construction scheme (R-CAT) that promotes superior peer to upper position in the tree and construct more stable and short multicast trees. By simulation we can show that R-CAT cost more overhead packets for tree joining process, but it reduce the end-to-end delay of the resulting tree and the number of packets lost during the node joining and leaving processes much more than SplitStream.

• The Transactions of the Korea Information Processing Society
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• v.13 no.10
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• pp.492-496
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• 2024

Cats are known to express their emotions through a variety of vocalizations during interactions. These sounds reflect their emotional states, making the understanding and interpretation of these sounds crucial for more effective communication. Recent advancements in artificial intelligence has introduced research related to emotion recognition, particularly focusing on the analysis of voice data using deep learning models. Building on this background, the study aims to develop a deep learning system that classifies and generates cat sounds based on their emotional content. The classification model is trained to accurately categorize cat vocalizations by emotion. The sound generation model, which uses deep learning based models such as SampleRNN, is designed to produce cat sounds that reflect specific emotional states. The study finally proposes an integrated system that takes recorded cat vocalizations, classify them by emotion, and generate cat sounds based on user requirements.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06d
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• pp.28-30
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• 2006

스트리밍 서비스는 인터넷 트래픽의 많은 부분을 차지할 정도로 인기 있는 서비스가 되었고, 확장성을 위해 P2P기반의 스트리밍 서비스가 제안되었다. P2P기반 스트리밍 환경은 빈번한 피어들의 떠남과 합류가 일어난다. 이러한 멀티캐스트 그룹의 변화에 대처하기 위해서 다중 멀티캐스트 트리가 제안되었다. 이는 중복성을 통해 멀티캐스트 그룹의 변화에 따른 영향을 줄였다. 하지만 노드의 능력 차이를 고려하지 않았기 때문에 트리가 길어지고, 불안정해질 수 있다. 이를 위해 본 논문은 노드의 능력을 고려한 내구적 멀티캐스트 트리 생성 기법(R-CAT)을 제시하여 우수 노드를 트리의 상층부에 위치시킴으로써 트리의 길이를 줄이고 트리 상층부의 안정화 문제를 해결할 수 있다. 또한 제시한 기법의 유효성을 증명하기 위해 기존의 SplitStream을 확장해서 R-CAT을 구현, 비교 검증한다.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06b
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• pp.262-265
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• 2011

많은 학습 시스템에서 학습자의 수준에 맞는 맞춤학습을 위해서 학습자의 정확한 능력을 측정하는 평가 방법이 필요하다. 기존의 지필고사는 이를 위해서 학습자의 능력과 관련된 많은 수의 문항을 똑같은 시간과 순서대로 풀게 되므로 평가의 효율성 면에서 문제를 가지고 있다. 따라서 이러한 지필고사방식의 문제점을 해결하기 위해 문항정보이론과 컴퓨터의 처리성능을 결합시킨 컴퓨터화된 적응적 검사(CAT)에 대한 연구가 활발히 진행되고 있다. CAT는 지필고사의 문제점을 상당부분 해결했으나 문항간 연관성에 대해서는 독립을 가정하여 그렇지 않은 경우에는 비효율성을 가져올 수 있다. 본 논문에서는 문항반응이론 방식의 CAT가 가진 문제점을 해결하면서 성능이 개선된 베이지안 네트워크를 도입한 CAT를 제안한다. 이는 베이지안 네트워크에 평가문항을 세부분야별로 대입하여 한 문항에 대한 응답으로 그와 연관된 분야의 학습자 능력을 추론한다. 또한 실험을 통해 기존의 기법을 사용했을 때에 비해 학습자의 실제 능력치에 수렴하는 속도가 증가함을 보인다.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.5
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• pp.467-472
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• 2008

In this paper, we design, implement and apply network physical layer to 100 BaseFx optical cable interface module based on industrial ethernet protocol which is physical layer of EtherCAT that has ensure its open standard ethernet compatibility which having been provided with real time of control in network of intelligent service robot, can be process numerous data to sensor and motor control system. Through BLDC motor control performance tests, we try to propose suitability as internal network of intelligent service robot and automation system.

• Annual Conference of KIPS
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• 2005.05a
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• pp.989-992
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• 2005

CAT(Computer Adaptive Testing : 컴퓨터 기반 적응적 검사)는 기존의 종이 시험지에서 이루어지던 시험과 달리 수험자에게 적절한 맞춤식 출제로 보다 정확한 수험자의 능력 판단 및 빠른 수험진행을 가능케 하였다. 기존의 CAT는 많은 인원과 문제가 있어야만 그 결과에 신뢰성이 있다고 알려져 있다. CAT의 대표적인 알고리즘인 SPRT와 EXSPRT-R을 이용하여 10명의 적은 인원으로 JLPT 4급 기출문제를 적용한 실험을 하였다. SPRT 에서는 인원수와, 문제 난이도를 무시한 결과로 인하여 만족 할만한 결과를 얻지 못하였으나, EXSPRT-R의 경우에는 적은 인원에서도 충분히 CAT를 이용할 수 있음을 발견할 수 있었다.

• Journal of Applied Biological Chemistry
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• v.58 no.4
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• pp.383-387
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• 2015

A duplex polymerase chain reaction (PCR) detection method was developed to authenticate the use of cat and rabbit in food and to prevent unlawful distribution of illegally butchered meat in both domestic and imported food market. Species-specific primers were designed targeting mitochondrial cytochrome b gene. The sizes of PCR products were 191 bp for cat and 101 bp for rabbit, which were relatively small for better application of the detection method on processed foods. Specificities of primers were verified using 21 animal species including cat and rabbit. Limit of detection was examined by serial dilution of the sample DNA and confirmed as 0.005 ng for rabbit and 0.0005 ng for cat using Bioanalyzer. The developed duplex PCR method showed specificity and sensitivity in the identification of two target species.