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Predatory Nematodes and Their Potential in Biological Control of Plant Parasitic Nematodes in Soil (포식선충의 토양중 식물기생선충의 생물학적 방제 이용 가능성)

  • Khan, Zakaullah;Kim, Young-Ho
    • The Korean Journal of Soil Zoology
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    • v.10 no.1_2
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    • pp.55-64
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    • 2005
  • Predatory nematodes are ubiquitous and feed on soil microorganisms including plant parasitic nematodes. They reduce populations of plant parasitic nematodes in virtually all soils because of their constant association with plant parasitic nematodes in the rhizosphere. Predatory potential of several species of predacious nematodes, belonging to the orders Mononchida, Diplogasterida, Dorylaimida and Aphelenchida, have been studied in detail on plant parasitic nematodes but most of the studies were based on in vitro experiments. A review of progress on the use of predatory nematodes as biological control agents of plant parasitic nematodes reveals that advocacy for predatory nematodes dates back to the early $20^{th}$ century; nevertheless, their potential has begun to be studied in recent years. Information on the efficacy of predatory nematodes under field conditions is lacking; however, some predatory nematodes have given very promising results against plant parasitic nematodes. This article summarizes research progress to date on predatory nematodes and discusses about their possible use in the management of plant parasitic nematodes.

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Effects of a nursing sound stimulus on performance of lactating sows and litters

  • Jeon, Jung Hwan;Kim, Doo Hwan
    • Journal of Animal Science and Technology
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    • v.62 no.1
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    • pp.14-20
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    • 2020
  • The goal of this study was to determine an effective interval of playing a nursing sound stimulus. One hundred forty four lactating multiparous sows (Landrace; parity range: 2 to 7) and their litters (Landrace × Yorkshire) were divided into 3 block (48 each), each of which was randomly assigned to one of the four treatment groups including control which had no call stimulus (n = 12 each). The call of nursing and suckling, plus a click sound, were used as a nursing sound stimulus that was played in the intervals of 35 min (T35), 40 min (T40) and 45 min (T45) right after the first parturition in each experimental group until the day of weaning. Nursing sound stimuli did not affect the sow feed intake and back fat thickness loss. No differences were detected among treatments in the percentages of sows returning to estrus within 5 days after weaning and sows without crushed piglets. However, the piglets' weaning weight and daily weight gain in T35 and T40 groups was greater (p < 0.01) than the controlled piglets. These results suggest that a nursing sound stimulus can improve the performance of suckling piglets, and that 35 or 40 min interval of playing a nursing sound could be the effective sound stimulus for nursing sows.

A Study on the Compensation of the Feedback Circuit in the Buck-boost DC-DC Converter (승강압형 DC - DC 콘버어터에 있어서 제어회로의 보상에 관한 연구)

  • Kim, Hee-Jun;Lee, In-Hwan
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.2
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    • pp.111-117
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    • 1990
  • This paper investigated the effect of the zero on the right-half-plane on stability in the buck-boost DC-DC converter which is one type of the switching regulator, and the stability region in connection with the output current was shown by evaluating the feed-back gain. From the result it is shown that the stability decreases by the existence of the zero on the right-half-plane. We carried out a compensation by a pole in the feedback circuit and obtained the available stability region in relation to the gain band-width product. These results proved to be the validity by experiment.

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The control system of sludge amount inspection and discharge materials of outlet water and affiliated water-purification tank (오수/합병정화조의 배출물 제어시스템 연구)

  • 박주식;김건호;오지영;임총규;강경식
    • Proceedings of the Safety Management and Science Conference
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    • 2001.11a
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    • pp.193-202
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    • 2001
  • The individual rotten water purification tank recently discharges wastewater and sewage through the outlet without purification ability. The outlet water and affiliated water purification tank with microorganism cultivator tank cultivates microorganism and then drops the value BOD, COD of sewage and discharges the quality of water into the outlet. The blower and water pump operating continuously prompts the waste of energy and deterioration of equipment. Each room of deposition tank, foaming tank, microorganism cultivator tank is equipment with the sludge detection senses so it can detect the density of each room. The power-drive plant of the blower and water pump which ate the system cultivating the microorganism must be made as fuzzy controlization (If the sludge amount of each room become higher, the rate of operation of blower and water pump must heighten, on the contrary, in case of row sludge amount, the total handling amount and microorganism handling amount of each room of control. Tank reducing the rate of operation must be DB. At present, the blower amount in proportion to the sludge and oxygen demanding amount has to control. Each mom must be checked outlet level of the outlet, also each room must flow backward discharge materials, and must operate feed-back control until we want to be come as a below value of BOD/COD(10PPM ; KS).

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Deformation prediction by a feed forward artificial neural network during mouse embryo micromanipulation

  • Abbasi, Ali A.;Vossoughi, G.R.;Ahmadian, M.T.
    • Animal cells and systems
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    • v.16 no.2
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    • pp.121-126
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    • 2012
  • In this study, a neural network (NN) modeling approach has been used to predict the mechanical and geometrical behaviors of mouse embryo cells. Two NN models have been implemented. In the first NN model dimple depth (w), dimple radius (a) and radius of the semi-circular curved surface of the cell (R) were used as inputs of the model while indentation force (f) was considered as output. In the second NN model, indentation force (f), dimple radius (a) and radius of the semi-circular curved surface of the cell (R) were considered as inputs of the model and dimple depth was predicted as the output of the model. In addition, sensitivity analysis has been carried out to investigate the influence of the significance of input parameters on the mechanical behavior of mouse embryos. Experimental data deduced by Fl$\ddot{u}$ckiger (2004) were collected to obtain training and test data for the NN. The results of these investigations show that the correlation values of the test and training data sets are between 0.9988 and 1.0000, and are in good agreement with the experimental observations.

Hydrogen Production Using Membrane Reactors

  • Giuseppe Barbieri;Paola Bernardo;Enrico Drioli;Lee, Dong-Wook;Sea, Bong-Kuk;Lee, Kew-Ho
    • Korean Membrane Journal
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    • v.5 no.1
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    • pp.68-74
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    • 2003
  • Methane steam reforming (MSR) reaction for hydrogen production was studied in a membrane reactor (MR) using two tubular membranes, one Pd-based and one of porous alumina. A higher methane conversion than the thermodynamic equilibrium for a traditional reactor (TR) was achieved using MRs. The experimental temperature range was 350-500$^{\circ}C$; no sweep-gas was employed during reaction tests to avoid its back-permeation through the membrane and the steam/methane molar feed ratio (m) varied in the range 3.5-5.9. The best results (the difference between the MR conversion and the thermodynamic equilibrium was of about 7%) were achieved with the alumina membrane, working with the highest steam/methane ratio and at 450$^{\circ}C$. Silica membranes prepared at KRICT laboratories were characterized with permeation tests on single gases (N$_2$, H$_2$ and CH$_4$). These membranes are suited for H$_2$ separation at high temperature.

Measurement of Ion Energy Distribution using QMS & Ionization Enhancement by usign Magnetic Field in Triod BARE (자장을 이용한 이온화율 증대형 삼극형 BARE에서 이온화율의 증대경향과 QMS를 이용한 이온의 에너지 분포 측정)

  • 김익현;주정훈;한봉희
    • Journal of the Korean institute of surface engineering
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    • v.24 no.3
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    • pp.119-124
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    • 1991
  • Recently, the trend of research in hard coating is concentrate on developing the process of ionization rate under low operating pressure, to get the thin film with high adhesion and dense microstructures. In this study ionization rate enhancement type PVD process using permanent magnet is developed, which enhances the ionization rate by confining the plasma suppressing the wall loss of electron. By the result to investigate the characteristic of glow discharge, the ionization rate of this process is enhanced about twice as high as that of triod BARE process (about 26%), and more dense TiN microstructures are obtained in this process. Cylindrical ion energy analyzer is made and attached in front of a quadrupole mass filter for the analysis of the energy distribution of reactive gas and activated gas ions from the plasma zone. To analyze the operation mechanism of ion energy analyzer, computer simulation is performed by calculation the electric field environment using finite element method. By these analyses of ion energy distribution of outcoming ions from the plasma zone, it is found that magnetic field enhances ion kinetic energy as well as ionization rate. The other results of this study is that the foundation of feed-back system is constructed, which automatically control the partial pressure of reactive gas. In can be possible by recording the data of mass spectrum and ion energy analysis using A-D converter.

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Control of Feed Rate Using Neurocontroller Incorporated with Genetic Algorithm in Fed-Batch Cultivation of Scutellaria baicalensis Georgi

  • Choi, Jeong-Woo;Lee, Woochang;Cho, Jin-Man;Kim, Young-Kee;Park, Soo-Yong;Lee, Won-Hong
    • Journal of Microbiology and Biotechnology
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    • v.12 no.4
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    • pp.687-691
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    • 2002
  • To enhance the production of flavonoids [baicalin, wogonin-7-Ο-glucuronic acid (GA)], which are secondary metabolites of Scutellaria baicalensis Georgi(G.) plant cells, a multilayer perceptron control system was applied to regulate the substrate feeding in a fed-batch cultivation. The optimal profile for the substrate feeding rate in a fed-batch culture of S. baicalensis G. was determined by simulating a kinetic model using a genetic algorithm. Process variable profiles were then prepared for the construction of a multilayer perceptron controller that included massive parallelism, trainability, and fault tolerance. An error back-propagation algorithm was applied to train the multiplayer perceptron. The experimental results showed that neurocontrol incorporated with a genetic algorithm improved the flavonoid production compared with a simple fuzzy logic control system. Furthermore, the specific production yield and flavonoid productivity also increased.

EEG Analysis and Classification System (EEG 분석과 분류시스템)

  • jung Dae-Young;Kim Min-Soo;Seo Hee-Don
    • Journal of the Institute of Convergence Signal Processing
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    • v.5 no.4
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    • pp.263-270
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    • 2004
  • Recently, wavelet transform have been applied to various kinds of problems in many fields. In this paper, we propose method of Daubechies wavelet to detect several kinds of important characteristic waves in tasks EEG that are needed to diagnose EEG. We show that our system could be attained higher performance in detecting characteristic waves than the other methods. In this system, the architecture of the neural network is a three layered feed-forward networks with one hidden layer which implements the error back propagation teaming algorithm. Applying the algorithms to 4 subjects show 92% classification rates. The proposed system shows a little more accurate diagnosis for task EEG by Wavelet and neural network. From the simulation results by the implemented system, we demonstrated this research can be reduce doctor's labors and quantitative diagnosis of task EEG.

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Study on Fault Diagnostics of a Turboprop Engine Using Fuzzy Logic and BBNN (퍼지와 역전파신경망 기법을 사용한 터보프롭 엔진의 진단에 관한 연구)

  • Kong, Chang-Duk;Lim, Se-Myung;Kim, Keon-Woo
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2010.11a
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    • pp.499-505
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    • 2010
  • The UAV(Unmanned Aerial Vehicle) which is remotely operating with long endurance in high altitude must have a very reliable propulsion system. The precise fault diagnostic system of the turboprop engine as a propulsion system of this type UAV can promote reliability and availability. This work proposes a diagnostic method which can identify the faulted components from engine measuring parameter changes using Fuzzy Logic and quantify its faults from the identified fault pattern using Neural Network Algorithms. It is found by evaluation examples that the proposed diagnostic method can detect well not only single type faults but also multiple type faults.

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