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Naoyuki Moriya,Yukiko Moriya,Hideo Nomura,Kisato Kusano,Yukoh Asada,Hirofumi Uchiyama,Enoch Y. Park,Mitsuyasu Okabe 한국생물공학회 2013 Biotechnology and Bioprocess Engineering Vol.18 No.6
β-(1→3)-D-glucans with β-(1→6)-glycosidiclinked branches are known to be immune activation agentsand are incorporated in anti-cancer drugs and healthpromotingsupplements. β-Glucan concentration was 9.2 g/Lin a 200-L pilot scale fermentor using mutant strainAureobasidium pullulans M-2 from an imperfect fungalstrain belonging to A. pullulans M-1. The culture broth ofA. pullulans M-2 had a faint yellow color, whereas that ofthe wild-type had an intense dark green color caused by theaccumulation of melanin-like pigments. β-Glucan producedby A. pullulans M-2 was identified as a polysaccharide ofD-glucose monomers linked by β-(1→3, 1→6)-glycosidicbonds through GC/MS and NMR analysis. When aconventional medium was used in the culture of A. pullulansM-2 in a 3-L jar fermentor, β-glucan concentration was1.4-fold that produced by the wild-type. However, when amedium optimized by statistical experimental design wasused with dissolved oxygen at 10%, the β-glucan concentrationwas 9.9 g/L with a yield of 0.52 (g β-glucan/g consumedsucrose), 2.9-fold that of the wild-type. This level ofproductivity was reproduced when the fermentation wasscaled up 200-L. The industrial production of high β-glucan without melanin-like pigments is highly expected,as a health-promoting supplement or functional food.
Integration of Intelligent Technologies for Simultaneous Localization and Mapping
Naoyuki Kubota,Kodai Yuki,Norio Baba 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper proposes a simultaneous localization and mapping method for a mobile robot in unknown environments. According to the measured distance by laser range finder, a topological environmental map is updated sequentially by using growing neural gas. When the difference between the measured distance and its corresponding map data is large, the robot must update the self-location. In this paper, we apply a particle filter and steady-state genetic algorithm, and compare their performance. Finally, we discuss the effectiveness of the proposed methods through several experimental results.
Compensation law for constrained systems based on a decomposition of finite-horizon linear systems
Naoyuki Hara,Hideki Kokame,Keiji Konishi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper considers a compensation law for constrained continuous-time linear systems. We introduce singular value decomposition(SVD) offinite-horizon linear systems and provide a compensation law which satisfies system constraints based on the SVD. The SVD allows us to construct basis functions consisting of dominant input-output signals where an auxiliary dynamical system is newly introduced so that it generates useful basis functions. The properties of the resulting system with compensation law are discussed, and the features of the proposed method are demonstrated by numerical examples.
A Consideration on Information Floating by Probe Data
Naoyuki KARASAWA,Keisuke NAKANO,Kazuyuki MIYAKITA,Kyosuke KASAGI,Hiroshi TAMURA 대한전자공학회 2015 ITC-CSCC :International Technical Conference on Ci Vol.2015 No.6
In this paper, we consider how to decide places where a message is virtually floated to guide mobile nodes to a certain place in Delay Tolerant Networks. We propose a method to decide the places for Information Floating using probe data. In the proposed method, we estimate the number of visiting nodes by inducement in each place using the volume of traffic between target places. We evaluate the proposed method by computer simulation in a lattice street mobility model.
Parallel Model Predictive Control for Constrained Linear Systems
Naoyuki Hara,Yoshiki Kagitani,Keiji Konishi 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10
This paper considers a parallel model predictive control (MPC) for input constrained linear systems. A dual of an optimization problem in MPC is decomposed into sub-problems, which can be solved in parallel. The proposed parallel MPC is demonstrated in numerical simulation.
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.