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      • Development on the Autonomous Mowing Robot for Orchard

        ( Keisuke Toyama ),( Kenta Hatiya ),( Shoji Koide ),( Takahiro Orikasa ),( Hiroshi Shono ),( Jun-ichi Takeda ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

        In autonomous vehicle of agricultural machinery, it is popular to use GNSS to estimate the current position, but it is often difficult to use GNSS in the orchard field due to multipath etc. Particularly, in weeding work, it is needed to mow near the trunk of trees, and position identification methods other than GNSS are necessary. Therefore, in this study, we aimed to develop autonomous mowing robot which autonomously runs by identifying the tree position of tree by laser scanner. A riding rotary mower was used as a test machine. A laser scanner, a DC motor for steering, and a PC for control are installed on the vehicle. The target steering angle for vehicle control was calculated from the tree position obtained from the laser scanner by calculating the target trajectory and using the forward fixed point model. Also in order to mow the weeds between the tree rows, it is necessary to travel several times, so we used the route created from the known tree row width and vehicle mowing width. The pseudo-trees were used in the field test. As a tested result, RMS value was about 25 mm in case of strait running control, which was sufficient accuracy in actual work.

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        Predictors of Diagnostic Contributions and Spontaneous Remission of Symptoms Associated with Positron Emission Tomography with Fluorine-18-Fluorodeoxy Glucose Combined with Computed Tomography in Classic Fever or Inflammation of Unknown Origin: a Retrosp

        Tsuzuki Seiichiro,Watanabe Ayumi,Iwata Mitsunaga,Toyama Hiroshi,Terasawa Teruhiko 대한의학회 2021 Journal of Korean medical science Vol.36 No.22

        Background: In patients with fever or inflammation of unknown origin (fever of unknown origin [FUO] or inflammation of unknown origin [IUO], respectively), expert consensus recommends the use of positron emission tomography with fluorine-18-fluorodeoxy glucose combined with computed tomography (FDG-PET/CT) when standard work-up fails to identify diagnostic clues. However, the clinical variables associated with successful localization of the cause by FDG-PET/CT remain uncertain. Moreover, the long-term outcomes of patients with unexplained FUO or IUO after negative FDG-PET/CT results are unknown. Therefore, we assessed predictors of successful diagnosis of FUO or IUO caused by FDG-PET/CT and associations of spontaneous remission of symptoms with FDG-PET/CT results. Methods: All patients with FUO or IUO, who underwent FDG-PET/CT from 2013 to 2019 because diagnostic work-up failed to identify a cause, were retrospectively included. We calculated the diagnostic yield and performed multivariable logistic regression to assess characteristics previously proposed to be associated with successful localization of FUO or IUO causes. We also assessed whether the FDG-PET/CT results were associated with spontaneous remissions. Results: In total, 50 patients with diagnostically challenging FUO or IUO (35 with FUO and 15 with IUO) were assessed. Other than one case of infection, all the identified causes were either malignancy or non-infectious inflammatory diseases (each with 18 patients), and FDG-PET/ CT correctly localized the cause in 29 patients (diagnostic yield = 58%). None of the proposed variables was associated with successful localization. All 13 patients with sustained unexplained cause remained alive (median follow-up, 190 days). Spontaneous remission was observed in 4 of 5 patients with a negative FDG-PET/CT, and 1 of 8 with a positive result (P = 0.018). Conclusion: In the current cohort, the proposed variables were not predictive for successful localization by FDG-PET/CT. A negative FDG-PET/CT scan may be prognostic for spontaneous remission in patients with sustained FUO or IUO.

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