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Image Reconstruction from Point Cloud Data by CIP-Level Set Method
Ishimoto Hironori,Ryuzaburo Sugino,Noboru Morizumi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Level set method(LSM) is the efficient computation method for the interface capturing with corresponding of advection equation attend topological change of interface. LSM is consisted of the generation of signed distance function from initial interface and the convergence computation of the interface evolution for the target shape using the advection equation in conjunction with the mean curvature flow. We can get the image source from the actual object through the some kinds of distance measurement. The many measured points form the point cloud as the pointing sketch of aobject surface. The precision surface model of the object requires that we extract the suitable interface for the purpose from the point cloud data. The extraction is one of image reconstruction. LSM is very useful method to extract the fine surface model from the point cloud data. However, the conventional LSM has some difficalties in the practical computing. In the long time computing, the distance function will be broken up without the frequent reinitialization of it. In this study, we proposed the new computation algorithm in which it is combined the LSM with the CIP scheme. The CIP presents very good performance to keep the shape profile in the advection computing. The obtained results are the various of examples of image reconstruction such as the convex sharp profile, then on-convex profile and the topological changing of profiles. We show the applicability and the effectiveness through the comparison of the CIP scheme with Up-Wind scheme.
Dialogical Design of Fuzzy Controller Using Rough Grasp of Process Property
Naoyuki ISHIMARU,Tutomu ISHIMOTO,Kageo AKIZUKI 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
It is the purpose of this paper to present a dialogical designing method for control system using a rough grasp of the unknown process property. We deal with a single-input single-output feedback control system with a fuzzy controller. The process property is roughly estimated by the step response, and the fuzzy controller is interactively modified according to the operator's requests. The modifying rules mainly derived from computer simulation are useful for almost every process, such as an unstable process and a non-minimum phase process.<br/> The fuzzy controller is tuned by taking notice of four characteristics of the step response: (1) rising time, (2) overshoot, (3) amplitude and (4) period of vibration. The tuning position of the controller is fourfold: (1) antecedent gain factor GE or GCE, (2) consequent gain factor GDU, (3) arrangement of the antecedent fuzzy labels and (4) arrangement of the control rules. The rules give an instance to the respective items of the controller in an effective order.<br/> The modified fuzzy PI controller realizes a good response of a stable process. However, because the GDU tuning becomes difficult for the unstable process, it is necessary to evaluate the stability of the process from the initial step response.<br/> The fuzzy PI controller is applied to the process whose initial step response converges with GDU tuning. The fuzzy PI controller with modified sampling time is applied to the process whose step response converges under the repeated application of the GDU tuning. The fuzzy PD controller is applied to the process whose step response never converges by the GDU tuning.
Kitano Tomoko,Kawakami Mamoru,Ishimoto Yuyu,Teraguchi Masatoshi,Fukui Daisuke,Matsuoka Toshiko,Nakagawa Yukihiro 대한척추외과학회 2021 Asian Spine Journal Vol.15 No.4
Study DesignCross-sectional study.PurposeThe purpose of this study was to investigate the effects of psychotic symptoms such as anxiety and fear in patients undergoing lumbar spinal canal stenosis.Overview of LiteratureRecently, patients with spinal disorders have not only been evaluated objectively for their disease, but also for patient-reported outcomes (PROs) including pain, physical function, and quality of life (PROs). Since depression has been previously associated with surgical outcomes, several studies have indicated that psychological problems may worsen the effects of pain and make treatment increasingly difficult.MethodsA questionnaire survey was conducted on 346 lumbar spinal stenosis (LSS) patients who visited our hospital from 2010 to 2016. The content of the questionnaire included questions on PROs (Japanese Orthopedic Association Back Pain Evaluation Questionnaire [JOABPEQ], Roland–Morris Disability Questionnaire, Japanese version [RDQ], and Zurich Claudication Questionnaire [ZCQ]) and psychological evaluation (Self-rating Questionnaire of Depression, Pain Catastrophizing Scale, Pain Anxiety Symptoms Scale-20 [PASS-20], Hospital Anxiety and Depression Scale, and Brief Scale for Psychiatric Problems in Orthopedic Patients). IBM SPSS Statistics (IBM Corp., Armonk, NY, USA) was used for statistical analysis and Spearman’s rank correlation coefficient, Mann-Whitney U-test, and multiple regression analysis were also performed.ResultsNo significant correlations were found between psychological factors and PROs (r>0.4). However, patients with abnormal scores for preoperative psychological items on questionnaires other than the PASS-20 also had lower scores for lumbar spine dysfunction and social life dysfunction on the JOABPEQ subscales along with higher scores for the RDQ, symptom severity and physical function on the ZCQ compared to those with normal psychological scores (p<0.05).ConclusionsPreoperative psychological factors in patients with LSS were associated with their RDQ, JOABEPQ, and ZCQ scores. These results suggest that factors such as catastrophic thoughts on pain, anxiety, depression, and fear that may affect the clinical outcomes in patients with LSS should be evaluated before surgery to facilitate psychological interventions.