• Proceedings of the Korean Society of Veterinary Clinics Conference
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• 2009.04a
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• pp.309-309
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• 2009

• Proceedings of the Korean Society of Veterinary Clinics Conference
• /
• 2009.04a
• /
• pp.261-261
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• 2009

• Proceedings of the Korean Society of Veterinary Clinics Conference
• /
• 2009.04a
• /
• pp.225-225
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• 2009

• Proceedings of the Korean Society of Veterinary Clinics Conference
• /
• 2009.10a
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• pp.214-214
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• 2009

• Proceedings of the PSK Conference
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• 2002.04a
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• pp.166.3-167
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• 2002

• Bulletin of the Korean Chemical Society
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• v.34 no.5
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• pp.1559-1562
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• 2013

• Annual Conference on Human and Language Technology
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• 2015.10a
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• pp.15-17
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• 2015

본 논문은 낚시성 기사 제목과 비낚시성 기사 제목을 판별하기 위한 시스템을 제시한다. 서포트 벡터 머신(SVM)을 이용하여 기사 제목을 분류하며, 분류하는 기준은 딥러닝 기법중의 하나인 워드임베딩(Word Embedding), 군집화 알고리즘 중 하나인 K 평균 알고리즘(K-means)을 이용한다. 자질로서 기사 제목의 단어를 사용하였으며, 정확도가 83.78%이다. 결론적으로 낚시성 기사 제목에는 낚시를 유도하는 특별한 단어들이 존재함을 알 수 있다.

• Proceedings of the Korean Magnestics Society Conference
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• 2005.12a
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• pp.68-69
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• 2005

• Proceedings of the Korean Society of Toxicology Conference
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• 2003.10b
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• pp.126-126
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• 2003

Welding fume (WF) induces pulmonary disease including pneumoconiosis. To investigate whether reactive oxygen species-induced oxidative DNA damage occurs during welding fume exposure and the upregulation of DNA repair mechanisms is accompanied, SPF SD rats were exposed to welding fumes with the concentrations of 65.6${\pm}$2.9 mg/㎥(low dose) and 116.8${\pm}$3.9 mg/㎥ (high dose) of total suspended particulate for 2 hrs per day in an inhalation chamber for a total of 2hrs, 15 or 30 days.(omitted)

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.59.4-59
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• 2001

In this paper, wireless interface of the motion between human and robot is implemented. The idea is that if a human who is equiped with device including accelerometer and rate-gyro sensor move his/her arm, then the robot follows human motion. The robot is designed as wheeled type mobile robot with two link arms. The robot´s basic movements such as forward, backward, left, right movement can be controlled from foot sensor which human steps on. Arm movements can be controlled by arm motion of human motion. In order to detect human motion, sensor data analysis from gyro and accelerometer has to be done. Data from sensors are transferred through wireless communication to activate the robot.