• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.12
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• pp.41-49
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• 1997

This paper deals with the attitude control of a self-made VTOL vehicle which is round shape and has four fans and motors. Although hovering mechanisms are suitable for field work at a mountainous region or a building site etc., it is known that modeling the structure of the plant is quite difficult due to its unstable or uncertain characteristics. So, a robust controller is requried in order to cope with these uncertainties. WE first model the structure of the plant under the actual hovering setting and then determine the uncertainty of the acquired mathematical model by using system identification method as exactly as possible. We adopt the $H^{\infty}$ theory as a control algorithm because of its availability, and the structure of two-degree-of-freedom is used as a basic feedback control system to improve the transient response of the plant. Finally, we show the appropriateness of the designed controller through simulations and experiments. That is, the proposed VTOL system is able to maintain its roubust performance in spite of parameter variations and existing disturbances..

• Proceedings of the KIEE Conference
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• 1992.07b
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• pp.1038-1040
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• 1992

Booster is used widely as one of the step-up DC/DC power converter in power conversion process for fuel cell power plant which have the electrical characteristic of the high current density and low cell voltage. In view of control system, booster can be unstable when it is operated in broad operation range because the transfer function of booster has zero in right half plane of s-domain. So for reliable operation, controller must make the system stable in whole working range. In this paper, the two control method such as digital PID control and fuzzy control is studied for booster output voltage regulation in fuel cell plant. The design procedure of PID control and fuzzy control is described. And the experiment of designed controller action is performed in various operation points for controller performance test.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.852-855
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• 1995

In modern plant lndustry, dignosis system is an essential implement because a human operator cannot check the state of system all the time. The recent facility needs a computer system which is able to replace and extense the function of the human expert. Checking the state of the plant system, the computer system uses signals form sensors attached to the plant systems. But, It is difficult to predict the cause of the failure from the sensing signals. Because the relationship among the signals cannot be easily represented by mathematical models. So expert system based on a fuzzy rule and Neural network method is sugguested. Expert system decide whether aa state of the system is ordinary of failure by the evaluation of the signals. If the state of the system is unstable, expert system preprocess the signals. When fault is occurred in the machine, the expert system dignoses the state of the system and find the cause as a primary tool. If the expert system dose not find the adequate cause successfully, neural network system uses the preprocessed signals as an input and propose a cause of the failure.

• Journal of Microbiology and Biotechnology
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• v.10 no.4
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• pp.449-454
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• 2000

The heavy chain monoclonal antibody (HC MAb) was produced in suspension cultures of genetically modified Nicotiana tabacum. The HC MAb secreted to the medium was unstable due to unfavorable interactions in the plant cell medium. The addition of gelatin (5g/l) stabilized the extracellular HC MAb and increased its production 10-fold. A kinetic model was developed describing the interaction between the secretedprotein and the stabilizer. The model accounted for the inactivation of the protein by simple aggregation and general instability. It was assumed that the secreted protein and the stabilizer form a stable complex. Culturing the cells semicontinuously could further increase the productivity of HC MAb.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.4
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• pp.551-560
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• 1998

This paper presents a neural network model representing complex hydro-thermo-dynamic characteristics of a steam generator in nuclear power plants. The key modeling processes include training data gathering process, analysis of system dynamics and determining of the neural network structure, training process, and the final process for validation of the trained model. In this paper, we suggest a training data gathering method from an unstable steam generator so that the data sufficiently represent the dynamic characteristics of the plant over a wide operating range. In addition, we define the inputs and outputs of neural network model by analyzing the system dimension, relative degree, and inputs/outputs of the plant. Several types of neural networks are applied to the modeling and training process. The trained networks are verified by using a class of test data, and their performances are discussed.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.13 no.10
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• pp.1002-1008
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• 2001

The energy is the basis for almost all industrial activities and domestic needs. But recently there are increasing concerns internationally over environmental problems and consequent climate changes caused by the excessive use of fossil fuels. Furthermore the price of crude oil is increasing steadily with unstable supplies. In order to solve these national energy problems, the utilization of Ocean Energy is introduced as one of the best alterative technologies for the future. OTEC Power Plant has been installed at the West Inchon Power Plant Site. Temperature differences of$20~25^{\circ}C$ been utilized for plant operations, where R22 is used as a working fluid. The system is composed of low pressure turbine, plate type heat exchanger, and pumps. In the present investigation the experimental results, such as gross power, net power and objective function, are analysed when temperature differences change from the reference design point.

• The Korean Journal of Ecology
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• v.28 no.1
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• pp.31-36
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• 2005

An important theme of this paper is to search for more genelalities of diversity and distribution pattern on the trampled plant communities in Daegu area. A total of 50 phytosociological releves were analyzed by the Zurich-Montpellier School's method and generalized habitat characteristics by using Euclidean coefficient and PCoA (Principal Coordinates Analysis). Five plant communities were classified and matched into largely two physiognomic types: grass-types such as Eragrostis ferruginea community, Eleusine indica community, Setaria viridis community, Digitaria ciliaris community, and forb-type of Plantage asiatica community only. These plant communities correspond to quite distinctive four habitat types, with both soil stability and moisture in microhabitat conditions: stable-moderate, unstable-moderate, stable-dry, and unstable-dry. Top-ten species showing the highest relative net contribution degree(r-NCD) were Digitaria ciliaris, Eleusine indica, Eragrostis ferruginea, Plantago asiatica, Echinochloa crus-galli, Trifolium repens, Polygonum aviculare, Setaria viridis, Setaria glauca and Artemisia princeps. The front three species showing more than 50% in percent r-NCD possess florescence after monsoon season. It is critically pointed out that the regional ecological differentiations i.e. the Daegu bioclimatic division, the $C_4$-plant dominant season(post-monsoon) of Korean peninsula, and species composition different from Japan's Plantaginetalia asiaticae, are the basis for deriving characteristics of the roadbed trampled plant communities of Daegu.

• The Korean Journal of Ecology
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• v.27 no.1
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• pp.49-55
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• 2004

To verify growth properties of Carex kobomugi, above and belowground parts of C. kobomugi were surveyed on coastal sand dune at Sinduri, Choongnam Province from April, 2001 to June 2003. The results were the same as follows. In coastal sand dune, C. kobomugi followed Elymus mollis from mean high tide line. Density of C. kobomugi was the highest at unstable sand dune and 150 plants/㎡. And rates of flowering plant were 70% at unstable area and 10% at stable area. C.kobomugi is thus plant that adapted to unstable sand dune. Shoot distributed irregularly. The rhizome of C. kobomugi gradually decreased with the soil depth in unstable area, but mainly distributed to 20 ㎝ depth. New rhizome could be generated from the rhizome which was below 150 ㎝ depth or 5 years old. The number and length of new rhizome were related to biomass of previous year's shoot. That was, shoots which were below 0.5 and over 3 g/shoot in dry weight generated 1 and 5 rhizomes, respectively. And the mean lengths of rhizome from small (below 0.5 g) and large (over 3.0 g) shoots were 13.0 ㎝ and 57.6 ㎝, respectively.

• Journal of Plant Biotechnology
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• v.45 no.3
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• pp.183-189
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• 2018

The plant hormone auxin regulates the overall metabolic processes essential for plant growth and development. Auxin signaling is mediated by early auxin response genes, which are classified into three major families: AUXIN/INDOLE ACETIC ACID (AUX/IAA), GRETCHEN HAGEN3 (GH3) and SMALL AUIN UP RNA (SAUR). The SAUR gene family is the largest family among early auxin response genes and encodes the small and highly unstable gene products. The functional roles of SAUR genes have remained unclear for many years. The traditional genetic and molecular studies on the SAUR functions have been hampered by their likely genetic redundancy and tandem arrays of highly related genes in the plant genome, together with the molecular characteristics of SAUR. However, recent studies have suggested possible roles of SAUR in a variety of tissues and developmental stages in accordance with the novel approaches such as gain-of-function and RNA silencing techniques. In this review, the recent research progress on the functional roles and regulatory mechanisms of SAUR and a set of possible future works are discussed.

• Journal of the Korean Society for Precision Engineering
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• v.6 no.4
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• pp.52-60
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• 1989

In order to control the transient torsional vibration of rotational shaft system, the torsional stiffness of it has been taken into account in modelling the plant. In this paper the observer and controller has been designed in two ways. One is to consider the torsional stiffness and the other is to idealize the rotational shaft as rigid body. The third order observer considering torsional stiffness shows stable response on computer simulation. When the observer is designed on assumption of the rotational shaft being rigid body, the reduced order observer shows stable response whereas the full order observer shows unstable response.