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Kazuya Kitamura,Narihito Nagoshi,Osahiko Tsuji,Satoshi Suzuki,Satoshi Nori,Eijiro Okada,Mitsuru Yagi,Morio Matsumoto,Masaya Nakamura,Kota Watanabe 대한척추신경외과학회 2022 Neurospine Vol.19 No.1
Objective: The purpose of our study was to investigate the risk factors of remnant tumor growth after incomplete resection (IR) of cervical dumbbell-shaped schwannomas (DS). Methods: Twenty-one patients with IR of cervical DS with at least 2 years of follow-up were included and were divided into 2 groups: the remnant tumor growth (G) (n = 10) and no growth (NG) (n = 11) groups. The tumor location in the axial plane according to Toyama classification, the location of the remnant tumor margin, and the tumor growth rate (MIB1 index) index were compared. Results: No significant differences in Toyama classification and MIB-1 index were found. Age was significantly higher in the G group (61.4 years vs. 47.6 years; p = 0.030), but univariate logistic regression analysis revealed little correlation to the growth (odds ratio [OR], 1.08; 95% confidence interval [CI], 1.001–1.166; p = 0.047). Seventeen patients (9 in the G and 8 in the NG group) underwent the posterior one-way approach, and significant differences in the location of the remnant tumor margin were confirmed: within the spinal canal in 1 and 0 case, at the entrance of the intervertebral foramen in 7 and 1 cases, and in the foramen distal from the entrance in 1 and 7 cases, in the G and NG groups, respectively (p = 0.007). The proximal margin was identified as a significant predictor of the growth (OR, 56.0; 95% CI, 2.93–1,072; p = 0.008). Conclusion: Remnant tumors with margins distally away from the entrance of the foramen were less likely to grow after IR of cervical DS.
Human Detection in a Paddy Field by using Thermal Images
( Kazuya Arai ),( Ryohei Masuda ),( Masahiko Suguri ),( Michihisa Iida ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1
At present, agriculture in Japan is facing with the problem of labor shortage and aging. In order to realize stable food supply in the future, it is necessary to reduce the workload, expand the scale of management, secure new farmers. In the field of high efficiency and labor saving technology development for paddy field work, robotization of various agricultural machines has been studied. In Kyoto University, research on robotic combine harvester which determine its traveling route by navigation data acquired from GNSS and GPS compass is being studied. However, since this robotic combine harvester merely runs on a predetermined route, there is a safety problem that it cannot be stopped if humans intrude in the traveling direction. So as to solve the problem, several human detection methods have been studied. In this study, we propose a method using thermal images as a new approach to human detection method in paddy field using image processing. The thermal image has an advantageous property to human detection as compared with the visible image. It is not affected by ambient light, and human temperature often lies within a certain range so it is relatively easy to extract human area. Therefore, it is used in the traffic and security fields. This time, we examined whether it can be applied to the agricultural field. We focused on human detection during harvesting by combine harvester in paddy field. We mounted a thermographic camera on a combine harvester, shot a video showing crops and humans, and captured images from there. Then, we performed image processing, and extracted regions with high temperature as regions of interest (ROIs). Finally, feature values were calculated for each ROI, and judgement whether each ROI includes humans or not was made by an artificial neural network (ANN) classifier. We generated a confusion matrix from the judgment results for all the acquired images, and calculated the accuracy rate. By setting the temperature range and the classification categories in the output of the ANN classifier appropriately, the accuracy rate was 99.3% for the images a human exists, 94.9% for the images a human does not exist, and 97.1% on average. As such a high accuracy rate is obtained, it can be said that our proposing human detection by thermal images is effective. This time, we shot a movie in the field and conducted human detection later. In the future, we plan to detect humans who intrude during harvesting by combine harvester in real time. It is also a future subject to formulate a measure for determining the temperature range.
Kazuya Kishida,Shoichi Nagata,Hiromi Miyajima 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
In this research, we propose the construction method of multi-agent systems for capturing fleeing targets using genetic algorithms. In order to construct a simplified multi-agent system, we introduce gray zones to an agent’s neighboring area by reducing input. We demonstrate the effectiveness of a proposed method using some numerical simulations.
Alteration in Self-Awareness of “Stiff Neck” under Chiropractic Care
Kazuya Tabata,Hiromitsu Ikeguchi,Minae Amano,Jin Ok Choi,Bo Ram Eo 한서대학교 보완대체의학연구소 2012 Research Journal of Complementary and Alternative Vol.- No.3
Our research pertains to how much change occurs to the subjective symptoms of patients who had been treated with chiropractic care. In this research, we have given chiropractic care to 100 patients - male and female, who had been undergoing “stiff neck” as a subjective symptom - and received valid result s from 91 of them. After treating them with chiropractic adjustments only once or twice, changes in the Pain Scale(PS) of their subjective symptoms was seen in 90% of the patients. We have concluded that chiropractic care had been an effective treatment for the improvement of subjective symptom as “stiff neck”. The average score of improvement in PS was 2.1.