• 제목/요약/키워드: ARTIFICIAL DISTURBANCE

검색결과 161건 처리시간 0.038초

묵밭에서 교란처리구배에 따른 중간교란가설의 검증 (Test of Intermediate Disturbance Hypothesis by Experimental disturbance Gradient in Old-Field Plant Community)

  • 이규송;김준호
    • The Korean Journal of Ecology
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    • 제21권3호
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    • pp.233-241
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    • 1998
  • In order to test of intermediate disturbance hypothesis that an intermediate level of disturbance maximize biodiversity and to elucidate the effect of disturbance during the early old-field succession, the response of plant community along an experimental disturbance gradient was investigated in a five-year old-field. Response of plant community along an experimental disturbance gradient was connected with light condition because artificial disturbance gradient had been treat by clipping of plants and removing of litter. Artificial disturbance in five-year old-field plant community retarded rate of succession by increasing invasion and performance of the earlier successional species in the initial and middle stage of disturbance treatment. The species richness in the blocks of intermediate disturbance level showed the peak in early and mid-summer. This result did correspond with the prediction of intermediate disturbance hypothesis.

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주기적 외란을 수반하는 시스템의 적응 신경망 회로 기법에 의한 오차 제거 (Error elimination for systems with periodic disturbances using adaptive neural-network technique)

  • 김한중;박종구
    • 제어로봇시스템학회논문지
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    • 제5권8호
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    • pp.898-906
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    • 1999
  • A control structure is introduced for the purpose of rejecting periodic (or repetitive) disturbances on a tracking system. The objective of the proposed structure is to drive the output of the system to the reference input that will result in perfect following without any changing the inner configuration of the system. The structure includes an adaptation block which learns the dynamics of the periodic disturbance and forces the interferences, caused by disturbances, on the output of the system to be reduced. Since the control structure acquires the dynamics of the disturbance by on-line adaptation, it is possible to generate control signals that reject any slowly varying time-periodic disturbance provided that its amplitude is bounded. The artificial neural network is adopted as the adaptation block. The adaptation is done at an on-line process. For this , the real-time recurrent learning (RTRL) algoritnm is applied to the training of the artificial neural network.

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빛 요법이 갱년기 여성의 수면장애와 우울에 미치는 효과 (Effect of Light Therapy on Sleep Disturbance and Depression in Climacteric Women)

  • 김윤아;성미혜
    • 여성건강간호학회지
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    • 제21권3호
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    • pp.197-206
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    • 2015
  • Purpose: The purpose of this study was to examine the effects of light therapy on sleep disturbance and depression in climacteric women with menopausal symptoms. Methods: The research design was a nonequivalent control group pre test-post test design. Data were collected from September 29, 2013 to November 11, 2013. Participants included 17 climacteric women in an artificial light therapy group, 17 climacteric women in a sun light therapy group and 16 climacteric women in a control group. Measures consisted of the sleep disturbance, depression, melatonin, and serotonin. Results: There was a statistically significant difference of Korean Sleep Scale A (F=53.87, p<.001), and melatonin (F=31.19, p<.001) among three groups. There was a statistically significant difference of Self-Rating Depression Scale (F=121.86, p<.001), and serotonin (F=102.37, p<.001) among three groups. Conclusion: Artificial and sun light therapy can be applied as a supportive nursing intervention to subjects with sleep disturbance and depression in climacteric women with menopausal symptoms. Artificial and sun light therapy is expected to be a complementary alternative intervention for health management of the subjects with sleep disturbance and depression in climacteric women with menopausal symptoms.

하천정비에 의한 하천의 물리적 교란 평가 - 남강과 영천강을 대상으로 - (Assessment of Physical Stream Disturbances by River Improvement - Case Studies of Nam River and Youngcheon River -)

  • 김기흥
    • 한국환경복원기술학회지
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    • 제12권3호
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    • pp.83-97
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    • 2009
  • The objects of study is to propose criteria for physical river disturbance assessment and as case study to show the application results for river improvement. For this purpose, the river disturbance assessment method for past disturbance process and the present-day potential natural state of stream is proposed. To assess the disturbance of the Youngcheon River caused by river improvement, One ares of Nam River was selected for the reference reach and two areas of Youngcheon River were selected for the comparison reach. And these reaches were surveyed and analyzed according to applying criteria of the river disturbances assessment. The assessment indices were physical factors as like epifaunal (bottom), embededness, velocity/depth regime, sediment deposition, channel flow status, channel alteration, frequency of riffles, bank stability, vegetative protection and riparian zone etc. The results showed that physical river environment in Youngcheon River area was disturbed by artificial revetment and bed excavation, consequently this disturbance give rise to impact of ecosystem in river. Hereafter, the criteria for river disturbance assessment are needed to consider various river characters as bed materials and bed slop etc.

가변구조제어기와 인공 신경회로망에 의한 BLDC모터의 디지털 전류제어 (Digital current control for BLDC motor using variable structure controller and artificial neural network)

  • 박영배;김대준;최영규
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.504-507
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    • 1997
  • It is well known that Variable Structure Controller(VSC) is robust to parameters variation and disturbance but its performance depends on the design parameters such as switching gain and slope of sliding surface. This paper proposes a more robust VSC that is composed of local VSC's. Each local VSC considers the local system dynamics with narrow parameter variation and disturbance. First we optimize the local VSC's by use of Evolution Strategy, and next we use Artificial Neural Network to generalize the local VSC's and construct the overall VSC in order to cover the whole range of parameter variation and disturbance. Simulation on BLDC motor current control shows that the proposed VSC is superior to the conventional VSC.

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공압 인공근육 구동장치의 선형화 모델 기반 궤적추적제어 (Trajectory Tracking Control of Pneumatic Artificial Muscle Driving Apparatus based on the Linearized Model)

  • 장지성;유원상
    • 동력기계공학회지
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    • 제10권3호
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    • pp.97-103
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    • 2006
  • In this study, a position trajectory tracking control algorithm is proposed for a pneumatic artificial muscle driving apparatus composed of a actuator which imitates the muscle of human, a position sensor and a control valve. The controller applied to the driving apparatus is composed of a state feedback controller and disturbance observer. The feedback controller which feeds back position, velocity and acceleration is derived from the linear model of pneumatic artificial muscle driving apparatus. The disturbance observer is designed to improve trajectory tracking performance and to reduce the effect of model discrepancy. The effectiveness of the designed controller is proved by experiments and the experimental results show that the pneumatic artificial muscle driving apparatus with the proposed control algorithm tracks given position reference inputs accurately.

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인공신경망을 이용한 사출성형품의 무게 안정성 제어에 대한 연구 (A Study on the Stability Control of Injection-molded Product Weight using Artificial Neural Network)

  • 이준한;김종선
    • 한국산업융합학회 논문집
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    • 제23권5호
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    • pp.773-787
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    • 2020
  • In the injection molding process, the controlling stability of products quality is a very important factor in terms of productivity. Even when the optimum process conditions for the desired product quality are applied, uncontrollable external factors such as ambient temperature and humidity cause inevitable changes in the state of the melt resin, mold temperature. etc. Therefore, it is very difficult to maintain prodcut quality. In this study, a system that learns the correlation between process variables and product weight through artificial neural networks and predicts process conditions for the target weight was established. Then, when a disturbance occurs in the injection molding process and fluctuations in the weight of the product occur, the stability control of the product quality was performed by ANN predicting a new process condition for the change of weight. In order to artificially generate disturbance in the injection molding process, controllable factors were selected and changed among factors not learned in the ANN model. Initially, injection molding was performed with a polypropylene having a melt flow index of 10 g/10min, and then the resin was replaced with a polypropylene having a melt floiw index of 33 g/10min to apply disturbance. As a result, when the disturbance occurred, the deviation of the weight was -0.57 g, resulting in an error of -1.37%. Using the control method proposed in the study, through a total of 11 control processes, 41.57 g with an error of 0.00% in the range of 0.5% deviation of the target weight was measured, and the weight was stably maintained with 0.15±0.07% error afterwards.

Blood Pressure Simulator using An Optimal Controller with Disturbance Observer

  • Kim, Cheol-Han;Han, Gi-Bong;Lee, Hyun-Chul;Kim, Yun-Jin;Nam, Ki-Gon;SaGong, Geon;Lee, Young-Jin;Lee, Kwon-Soon;Jeon, Gye-Rok;Ye, Soo-Young
    • International Journal of Control, Automation, and Systems
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    • 제5권6호
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    • pp.643-651
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    • 2007
  • The various blood pressure simulators have been proposed to evaluate and improve the performance of the automatic sphygmomanometer. These have some problems such as the deviation of the actual blood pressure waveform, limitation in the blood pressure condition of the simulator, or difficulty in displaying the blood flow. An improved simulator using disturbance observer is proposed to supplement the current problems of the blood pressure simulator. The proposed simulator has an artificial arm model capable of feeding appropriate fluids that can generate the blood pressure waveform to evaluate the automatic sphygmomanometer. A controller was designed and thereafter, simulation was performed to control the output signal with respect to the reference input in the fluid dynamic model using the proposed proportional control valve. To minimize the external fluctuation of pressure applied to the artificial arm, a disturbance observer was designed on the plant. A hybrid controller combined with a proportional controller and feed-forward controller was fabricated after applying a disturbance observer to the control plant. Comparison of the simulations between the conventional proportional controller and the proposed hybrid controller indicated that even though the former showed good control performance without disturbance, it was affected by the disturbance signal induced by the cuff. The latter exhibited an excellent performance under both situations.

Study on Design of Two-Axis Image Stabilization Controller through Drone Flight Test Data Standardization

  • Jeongwon, Kim;Gyuchan, Lee;Dong-gi, Kwag
    • International Journal of Advanced Culture Technology
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    • 제10권4호
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    • pp.470-477
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    • 2022
  • EOTS for drones is showing another aspect of market expansion in detection and recognition areas previously occupied by artificial satellites. The two-axis EOTS for drones controls the vibration or disturbance caused by the drone during the mission so that EOTS can accurately recognize the goal. Vibration generated by drones is transmitted to EOTS. Therefore, it is essential to develop a stabilization controller that attenuates vibrations transmitted from drones so that EOTS can maintain the viewing angle. Therefore, it is necessary to standardize drone disturbance and secure the performance of EOTS disturbance attenuation controller optimized for disturbance level through this. In this paper, a method of standardizing drone disturbance applied to EOTS is studied, through which EOTS controller simulation is performed and stabilization controller shape is selected and designed.

Post-disturbance Recovery Pattern in the Soft Corals-Macroalgae Mixed Habitat in Jeju Island, Korea

  • Kim, Junsu;Hong, Seokwoo;Yang, Kwon Mo;Macias, Daniela;Kim, Jeong Ha
    • 한국해양생명과학회지
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    • 제6권2호
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    • pp.117-123
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    • 2021
  • Post-disturbance recovery pattern of subtidal soft corals-macroalgae mixed community and the role of water depth were investigated. The experiment was conducted in a subtidal rock wall of Munseom, Jeju Island, Korea for 2.5 years. Artificial disturbance was done at established treatment plots at depths of 10, 15 and 20 m and were then compared with undisturbed control plots. After disturbance, recovery of soft corals was very slow, whereas macroalgae quickly occupied the plots and reached a similar level as the control in 6 months, and this pattern was consistent at all water depths. This unbalanced speed of recovery caused higher macroalgae establishment than soft corals in treatment compared to control plots, indicating a possible phase shift in the community structure. This study provides an important implication for the necessity of monitoring the influence of disturbance at a larger scale, from a conservation perspective of soft corals in Jeju coast.