• Title/Summary/Keyword: 오인도

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Malignant Tumor Mistaken for Infection or Stress Fracture - 4 cases report - (감염이나 피로 골절로 오인된 악성 종양 - 4례 보고 -)

  • Han, Chung-Soo;Lee, Young-Ho;Ha, Jeong-Han
    • The Journal of the Korean bone and joint tumor society
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    • v.9 no.1
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    • pp.93-100
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    • 2003
  • Clinical outcome of malignant tumor heavily depends on early diagnosis and proper management of the patient. But it's very difficult to diagnose malignant tumor in early stage because of it's vague symptoms and inadequate evidences of malignancy in radiologic studies and biopsy. Malignant tumor mistaken for infection or fracture initially will undergo inadequate treatment and that will influence on it's prognosis. So it's very important to rule out the possibility of malignancy by repeated evaluation if it's diagnosis is not definite. We report 1 case of osteosarcoma initially mistaken for stress fracture and 3 cases of osteosarcoma, malignant lymphoma and Ewing's sarcoma initially mistaken for tuberculosis and review the literature.

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A Study on the Time of Delivery of Goods and Liability for Mis-delivery in terms of an Ocean Carrier (해상 운송인의 운송물 인도시점과 오인도(誤引渡)에 따른 손해배상책임에 관한 연구)

  • KIM, Chan-Young
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.67
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    • pp.97-118
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    • 2015
  • This study reviews the judgements by the Korean Supreme Court on the time of delivery of goods, as it depends on which bonded place the goods are kept for the purpose of the customs clearance. Thereafter, this study analyzes the Ocean Carrier's liability, when the cargoes are mis-delivered without the presentation of bill of lading in relation to the specific bonded place such as an independent bonded warehouse or a self-use bonded warehouse. Furthermore, considering that voyage charter is a kind of marine transport, this study also reviews whether or not the Court's judgements, which has been developed in respect of the carriage of affreightment, could be applied to voyage charter in respect of the time of delivery goods and the Ocean Carrier's liability for mis-delivery. Lastly, in the case that the substantial importer takes the goods from the independent bonded warehouse without the presentation of bill of lading after the customs clearance, it is noted that the Court has made the Ocean Carrier liable for the mis-delivery through the application of theory of double deposit contract. The position of the Court would be understandable in terms of the protection for the bona-fide holder of bill of lading, but this study reviews the limitation of liability as the device for the protection of the Ocean Carrier, considering the situation where the Ocean Carrier is somewhat unreasonably sacrificed under the bonded system provided for the convenience of substantial importer.

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Speech Recognition Accuracy Prediction Using Speech Quality Measure (음성 특성 지표를 이용한 음성 인식 성능 예측)

  • Ji, Seung-eun;Kim, Wooil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.3
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    • pp.471-476
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    • 2016
  • This paper presents our study on speech recognition performance prediction. Our initial study shows that a combination of speech quality measures effectively improves correlation with Word Error Rate (WER) compared to each speech measure alone. In this paper we demonstrate a new combination of various types of speech quality measures shows more significantly improves correlation with WER compared to the speech measure combination of our initial study. In our study, SNR, PESQ, acoustic model score, and MFCC distance are used as the speech quality measures. This paper also presents our speech database verification system for speech recognition employing the speech measures. We develop a WER prediction system using Gaussian mixture model and the speech quality measures as a feature vector. The experimental results show the proposed system is highly effective at predicting WER in a low SNR condition of speech babble and car noise environments.

Speech Recognition Accuracy Measure using Deep Neural Network for Effective Evaluation of Speech Recognition Performance (효과적인 음성 인식 평가를 위한 심층 신경망 기반의 음성 인식 성능 지표)

  • Ji, Seung-eun;Kim, Wooil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.12
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    • pp.2291-2297
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    • 2017
  • This paper describe to extract speech measure algorithm for evaluating a speech database, and presents generating method of a speech quality measure using DNN(Deep Neural Network). In our previous study, to produce an effective speech quality measure, we propose a combination of various speech measures which are highly correlated with WER(Word Error Rate). The new combination of various types of speech quality measures in this study is more effective to predict the speech recognition performance compared to each speech measure alone. In this paper, we describe the method of extracting measure using DNN, and we change one of the combined measure from GMM(Gaussican Mixture Model) score used in the previous study to DNN score. The combination with DNN score shows a higher correlation with WER compared to the combination with GMM score.