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Introduction of IEC activity on Digital Communication Subsystem (Overview of IEC/SC65C)
Taro Harima 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper introduces the overview of the IEC/SC65C: Industrial networks sub-committee activity.
Hirofumi Harima,Kouichi Hamabe,Fusako Hisano,Yuko Matsuzaki,Tadahiko Itoh,Kazutoshi Sanuki,Isao Sakaida 대한소화기내시경학회 2018 Clinical Endoscopy Vol.51 No.6
An 89-year-old man was referred to our hospital for treatment of hepatolithiasis causing recurrent cholangitis. He had undergone a priorWhipple procedure. Computed tomography demonstrated left-sided hepatolithiasis. First, we conducted peroral direct cholangioscopy(PDCS) using an ultraslim endoscope. Although PDCS was successfully conducted, it was unsuccessful in removing all the stones. Thestones located in the B2 segment were diffcult to remove because the endoscope could not be inserted deeply into this segment due to thesmall size of the intrahepatic bile duct. Next, we substituted the endoscope with an upper gastrointestinal endoscope. After positioningthe endoscope, the SpyGlass digital system (SPY-DS) was successfully inserted deep into the B2 segment. Upon visualizing the residualstones, we conducted SPY-DS-guided electrohydraulic lithotripsy. The stones were disintegrated and completely removed. In cases ofPDCS failure, a treatment strategy using the SPY-DS can be considered for patients with hepatolithiasis after a Whipple procedure.
하주형,왕주안,이원재,최영준,Hae-Yong Lee,Jung-Gon Kim,Hiroshi Harima 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.66 No.6
The hydride vapor-phase epitaxy (HVPE) method was used to deposit high-quality InN layerson GaN inter-layer/sapphire (0001) structures that had been fabricated by using either the HVPEmethod or the metal-organic chemical-phase deposition (MOCVD) method. The effects of the groupV/III ratio and different GaN inter-layers on the crystal quality of the InN layers were systemicallyinvestigated. The InN layer grown at a low Group V/III ratio revealed a high crystal qualitywith a two-dimensional (2D) growth mode. Also, the 110.7-nm-thick InN layer grown by usingHVPE on a GaN inter-layer/sapphire (0001) substrate structure that had been fabricated by usingMOCVD had a high crystal quality, with the full width at half maximum (FWHM) of the InNX-ray diffraction (XRD) peak being about 844 arcsec, and a smooth surface with an atomic forcemicroscopy (AFM) roughness of about 0.07 nm. On the other hand, the 145.7-nm-thick InN layergrown by using HVPE on a GaN inter-layer/sapphire (0001) substrate structure that had beenfabricated by using the HVPE method had a lower crystal quality, a FWHM value for the InN(0002) peak of about 2772 arcsec, and a surface roughness of about 3.73 nm. In addition, the peakof the E2 (high) phonon mode for the 110.7-nm-thick InN layer grown by using HVPE on a GaNinter-layer/sapphire (0001) structure that had been fabricated by using MOCVD was detected at491 cm−1 and had a FWHM of 9.9 cm−1. As a result, InN layers grown by using HVPE on GaNinter-layer/sapphire (0001) substrate structures fabricated by using MOCVD have a high crystalquality and a reduced Raman value, which agrees well with the results of the XRD analysis.
Imanishi, Toshiaki,Hanai, Taizo,Aoyagi, Ichiro,Uemura, Jun,Araki, Katsuhiro,Yoshimoto, Hiroshi,Harima, Takeshi,Honda , Hiroyuki,Kobayashi, Takeshi The Korean Society for Biotechnology and Bioengine 2002 Biotechnology and Bioprocess Engineering Vol.7 No.5
In order to control glucose concentration during fed-batch culture for antibiotic production, we applied so called “software sensor” which estimates unmeasured variable of interest from measured process variables using software. All data for analysis were collected from industrial scale cultures in a pharmaceutical company. First, we constructed an estimation model for glucose feed rate to keep glucose concentration at target value. In actual fed-batch culture, glucose concentration was kept at relatively high and measured once a day, and the glucose feed rate until the next measurement time was determined by an expert worker based on the actual consumption rate. Fuzzy neural network (FNN) was applied to construct the estimation model. From the simulation results using this model, the average error for glucose concentration was 0.88 g/L. The FNN model was also applied for a special culture to keep glucose concentration at low level. Selecting the optimal input variables, it was possible to simulate the culture with a low glucose concentration from the data sets of relatively high glucose concentration. Next, a simulation model to estimate time course of glucose concentration during one day was constructed using the on-line measurable process variables, since glucose concentration was only measured off-line once a day. Here, the recursive fuzzy neural network (RFNN) was applied for the simulation model. As the result of the simulation, average error of RFNN model was 0.91 g/L and this model was found to be useful to supervise the fed-batch culture.
Takeshi Kobayashi,Toshiaki Imanishi,Taizo Hanai,Ichiro Aoyagi,Jun Uemura,Katsuhiro Araki,Hiroshi Yoshimoto,Takeshi Harima,Hiroyuki Honda 한국생물공학회 2002 Biotechnology and Bioprocess Engineering Vol.7 No.5
In order to control glucose concentration during fed-batch culture for antibiotic production, we applied so called “software sensor” which estimates unmeasured variable of interest from measured process variables using software. All data for analysis were collected from industrial scale cultures in a pharmaceutical company. First, we constructed an estimation model for glucose feed rate to keep glucose concentration at target value. In actual fed-batch culture, glucose concentration was kept at relatively high and measured once a day, and the glucose feed rate until the next measurement time was determined by an expert worker based on the actual consumption rate. Fuzzy neural network (FNN) was applied to construct the estimation model. From the simulation results using this model, the average error for glucose concentration was 0.88 g/L. The FNN model was also applied for a special culture to keep glucose concentration at low level. Selecting the optimal input variables, it was possible to simulate the culture with a low glucose concentration from the data sets of relatively high glucose concentration. Next, a simulation model to estimate time course of glucose concentration during one day was constructed using the on-line measurable process variables, since glucose concentration was only measured off-line once a day. Here, the recursive fuzzy neural network (RFNN) was applied for the simulation model. As the result of the simulation, average error of RFNN model was 0.91 g/L and this model was found to be useful to supervise the fed-batch culture.
Yoshichika Onuki,Rikio Settai,Kiyohiro Sugiyama,Tetsuya Takeuchi,Fuminori Honda,Yoshinori Haga,Etsuji Yamamoto,Tatsuma D. Matsuda,Naoyuki Tateiwa,Dai Aoki,Ilya Sheikin,Hisatomo Harima 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.63 No.3
The f-electron system in rare-earth and actinide compounds exhibit a variety of characteristicproperties including heavy fermions and unconventional superconductivity. The Fermi surface propertiesin rare-earth and actinide compounds are clarified by the de Haas-van Alphen experimentson the basis of the results of energy band calculations. The effect of pressure on the electronicstates of CeRhIn5, CeIrSi3, and YbIr2Zn20 is studied in magnetic fields. An electronic instability,including unconventional superconductivity, occurs at 2.4 GPa in CeRhIn5 and 2.6 GPa in CeIrSi3. An abrupt non-linear increase in the magnetization, namely, a metamagnetic behavior, is found inthe heavy fermion compounds, including YbT2Zn20 (T: Co, Rh, Ir). A super-heavy fermion statewith a specific heat coefficient of 10 J/(K2·mol) is realized in YbIr2Zn20 under pressure.