In computer vision, considerable success has been achieved in image classification. Yet, real-world applications can be negatively affected by noise corruption, so a method for dealing with noise is ...crucial. Knowledge distillation that utilizes the knowledge of a teacher model trained on clean images to train a student model on noisy images is a promising technique because it can be applied without special modification of the classifier. However, clean images are typically not available for most practical uses. To address this issue, we proposed a novel knowledge distillation method without clean images. By leveraging a property of the feature extractor in the classifier that naturally removes unrelated features for classification, we perform a simple training of the teacher model on noisy images, under the assumption that such a teacher can provide pseudo-clean features. Our experiments demonstrate that the proposed method can achieve classification performance comparable to conventional methods, even without clean images.
Partial discharge (PD) classification is a crucial tool for assessing the reliability of insulation systems in high- voltage electric power equipment, and many denoising techniques such as the ...wavelet shrinkage method have been developed for dealing with external noise contamination in the preprocessing step of PD classification. However, conventional denoising methods require burdensome manual parameter tuning because the PD characteristics depend on the measurement conditions. In addition, previous studies have focused on signals with relatively high signal-to-noise ratios (SNR) obtained by intrusive sensors such as ultrahigh- frequency sensors, so those methods cannot be naïvely applied to low SNR signals obtained by nonintrusive sensors such as transient earth voltage sensors. Here we propose novel cascaded two neural networks for estimating PD type via reconstruction of noise reduced PD feature from highly noise-contaminated signals without manual parameter tuning. Experimental results show that the proposed method achieved higher classification accuracy than conventional methods, including neural network- based method, even for highly noise-contaminated signals.
...the field trial was conducted with a new inhibitor. Sweet corrosion, Carbon steel, Corrosion inhibitor, Rotating cage autoclave, Batch treatment INTRODUCTION This is a brief history of a corrosion ...control on production tubing and flowlines in a gas condensate field in Japan. ...the selected inhibitor was tested in the field. Residual Inhibitor Analysis Fourier Transform Infrared Spectroscopy (FT-IR, JASCO FT/IR-6100c) and Gas Chromatography - Mass Spectrometer (GC-MS, Agilent Technologies 7890A & 5975Cd) were utilized to trace the chronological change of inhibitor concentration after the tubing batch treatment.
At the Japanese Society of Oral Implantology, a specialist medical system is in force. However, even the same specialist sees various ideas and procedures in the actual clinical practice of oral ...implantation. To ensure the safety of oral implants, the trend of the actual clinical practice of specialists should be clarified and linked to education. This time, using a 25-item oral implant-related questionnaire, we surveyed 102 specialists who were members of the Clinical Implant Society of Japan, in order to analyze oral implants, implantation techniques, prosthodontics, maintenance of oral implants, implantation time, implant material, and so on in clinical practice in Japan. However, responses were inconsistent; some clearly described the protocols used, whereas others did not. Thus, it is considered necessary to further clarify the protocol, enhance education and training, and improve the knowledge and skills of specialists to ensure the safety of oral implants.
Although the mandibular molar region is the area where dental implant therapy is performed most frequently, the width of the bone is narrow in many cases. The aim of this case report is to newly ...introduce the lateral ridge augmentation procedure using a modified lateral incision technique.Guided bone regeneration combined with autologous bone graft for bone augmentation was performed on implant placement at the mandibular left molar area of a 55-year-old woman. Because the position of the mental foramen was comparatively high, a modified lateral incision technique designed to prevent neuronal damage was used. Buccal split-thickness incision was performed 4 mm below the mucogingival junction and was extended through the mesial aspect of the aftermost molar. The split-thickness incision was then extended with a vertical split-thickness incision at the location of the mesial line angle of the aftermost molar. Following supraperiosteal preparation, the periosteum was cut at the height of the alveolar crest. The full-thickness incision line was designed to leave the periosteum distal area of the aftermost molar of approximately 2 mm. The flaps of both split-thickness and full-thickness were then separated. Following perforation of the cortical bone to create the bleeding bone surface, two implants were placed into the planned positions. After autologous bone graft was performed, nonresorbable expanded polytetrafluoroethylene titanium-reinforced membrane was adjusted to the surgical site. Horizontal mattress sutures were used between the keratinized mucosa of the lingual flap and the periosteum of the buccal flap, and intermittent sutures were used between the mucosa of the lingual flap and the mucosa of the buccal flap, without excessive pressure and while ensuring closure of the membrane. At the time of the secondary operation, free gingival grafting was performed to increase the width of the keratinized tissue. Four years after surgery, the postoperative outcome is good.Lateral ridge augmentation with the modified lateral incision technique may be a safe method of implant placement with bone graft in cases where the mental foramen is located at a higher position than usual.
This paper describes dynamics analysis of a governor-engine control system in a marine diesel engine and its optimal control at sea. A new governor system is developed which takes into account the ...ship's motion, and the results of full-scale experiments using the new system are presented. Statistical analysis using a Multivariate Auto Regressive (MAR) model is performed on data collected from the sea trial of a small training ship, the Shioji Maru. It is shown that the speed of the ship's propeller is strongly influenced by the ship's pitching motion. Based on this observation, a new type of marine governor that takes the ship's pitching motion into account is designed using modern multivariate control theory. Finally, full-scale experiments into the performance of the new system are conducted.
