http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Advanced Rotation-Invariant Feature Detection Method for Pedestrian Recognition
Toshiki Yahiro,Kousuke Matsushima 대한전자공학회 2017 대한전자공학회 학술대회 Vol.2017 No.1
In the technology of Advanced Safety Vehicle (ASV), pedestrian detection is an important element. There are techniques using image features and classifiers, but pedestrian regions often include various poses such as rotation. That’s why we cannot always get similar feature values for the same features. The rotation-invariant Histogram of Oriented Gradients(RI-HOG) is a candidate to solve this problem, but this method is not highly accurate because it is not optimized for pedestrian detection. Accordingly, we improved calculating method of the RI-HOG for pedestrian detection and compared this proposed method with the conventional method. As a result, recognition rate was turned from 57.50% to 89.56%.
Development of Corrosion Rates Estimation method for CUI using Information Gain Ratio
Shigeyuki Tateno,Motoki Ichiyama,Kentaro Yahiro,Hisayoshi Matsuyama,Eiji O"Shima 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
Almost all chemical and petrochemical plants in Japan have been operated for 30 years or more. Leakage accidents in piping often occur in such a kind of plants because of CUI (Corrosion Under Insulation) progress. In the worst case, inner fluid leakage might affect human bodies or the environment. Proper predictive maintenance work based of corrosion rate estimation should be performed to prevent the accidents. In the previous research, corrosion rates have been estimated based on databases constructed by cases of past corrosion. However, the method of previous research has some problems, such as the estimation accuracy is insufficient. In this research, a selection support system which can estimate corrosion rates with high accuracy using information gain ratio and reliability is developed.
Katsumasa Ota,Jukai Maeda,Ann Gallagher,Michiko Yahiro,Yukari Niimi,Moon F. Chan,Masami Matsuda 한국간호과학회 2019 Asian Nursing Research Vol.13 No.1
Purpose: The importance of human dignity in care is well-recognized. Care recipients' experiences with undignified care have been reported in many countries. However, few studies have measured these situations quantitatively, especially as there are no tools applicable to inpatients receiving ordinary daily care. This study aimed to develop a valid and reliable Inpatient Dignity Scale (IPDS) that can measure inpatients' expectations of and satisfaction with dignity in daily care. Methods: We conducted a three-phase research project: item generation and a preliminary survey with 47 items related to patients' dignity in Japan, a main survey with 36 items with deliberate translation into English in Singapore, and a confirmatory survey with 35 items in England, with 442, 430, and 500 inpatients as participants in questionnaire surveys, respectively. Data from each survey were processed using factor analysis. Results: Authors obtained a scale with a four-factor structure with acceptable reliability: (F1) respect as a human being, (F2) respect for personal feelings and time, (F3) respect for privacy, and (F4) respect for autonomy. Conclusion: The Inpatient Dignity Scale can be periodically used by hospital administrators or nurses to preserve inpatients' dignity in daily care by monitoring inpatients' views regarding their expectations of and satisfaction with dignity.