• Journal of the Korean Crystal Growth and Crystal Technology
• /
• v.17 no.1
• /
• pp.11-17
• /
• 2007

The spherical NiZn ferrite particles were prepared by ultrasonic spray pyrolysis with mixed solution of aqueous metal nitrates. The NiZn ferrite particle was observed with nano-sized primary particles of about 10 nm or less before annealing which represented as paramagnetic behavior measured at 77 K and room temperature. The typical abnormal growth of primary particles like polyhedral primary particles was observed by annealing at 1273 K with Zn-concentration dependency. The XRD patterns showed good crystallinity of NiZn ferrite powder after annealing. In annealing process, the intra-particle sintering phenomenon was observed and the spherical particle morphology was collapsed at 1673 K. The saturation magnetization of NiZn ferrite powder for each annealing temperature was decreased with measuring temperature of $77{\sim}$300K.

• Korean Journal of Psychosomatic Medicine
• /
• v.1 no.1
• /
• pp.101-108
• /
• 1993

A case of a 38 year-old woman with histrionic personality who had chronic epigastric pain, dyspepsia and alternating bowel habit for more than 10 years was presented in detail on its course of two times of admission and follow-up. The diagnosis was thought as psychophy-siological disorder or gastrointestinal motility disorder of undefined etiology rather than hypo-chondriasis or Briquet's syndrome. She was characterized by sustained illness behavior and combined several physical illnesses. i.e. tuberculosis. anemia and hepatic stone. These physical diseases led to a blurring of psychological and physical boundaries regarding symptom formation. The points on consultation from medical part to psychiatric department were discussed and the supposed causal mechanisms in non-organic functional gastrointestinal disturbances were also reviewed. Physical and psychological modalities for the treatment and the abnormal illness behavior were mainly emphasized in this case.

• Journal of Advanced Navigation Technology
• /
• v.17 no.2
• /
• pp.165-170
• /
• 2013

In this paper, we propose the information acquisition and analysis system for a vehicle driver in order to provide the safe driving environments. We first define the list of reckless driving behaviors and propose the recognition system, which recognizes the reckless behaviors, by using the acquired information. The collaboration among the information acquisition, the analysis, and the behavior comparison modules increases the accuracy of the recognition rate. Our system alarms to a vehicle driver in order to notify the potential to confront the dangerous situation due to the abnormal or reckless driving behaviors.

• Journal of the Korean earth science society
• /
• v.23 no.1
• /
• pp.112-118
• /
• 2002

The anomalous behaviour of animals prior to a large earthquake has been frequently reported from many places throughout the world since ancient times. This study is to experimentally testify what relations exist between the anomalous animal behavior and electric field effect, which is reported due to the piezo-electric effects in a basement rock before earthquake occurrences. We investigated the electric field effects on behaviors of two kinds of rats and birds. Rats show more sensitive anomalous behavior than birds. Even though the current applied to the experimental birds and rats is just a few ${\mu}$A, they show various abnormal behaviors. The anomalous animal behaviors under the small ground electric field may have some relations to the actual phenomena before great earthquake.

• 한국전산유체공학회:학술대회논문집
• /
• 2011.05a
• /
• pp.592-595
• /
• 2011

A numerical investigation on a suction vortices, free vortices and subsurface vortices behavior in the model sump system with multi-intakes is performed A test model sump and piping system were designed based on Froude similitude for the prototype of the recommended structure layout by HI-9.B Standard for Pump Intake Design of the Hydraulic Institute. A numerical analysis of three dimensional multiphase flows through the model sump is performed by using the finite volume method of the CFX code with multi-block structured grid systems. A ${\kappa}-{\omega]$ ShearStressTransportturbulencemodelandthe Rayleigh-Plesset cavitation model are used for solving turbulence cavitating flow. From the numerical analysis, several types of vortices are reproduced and their formation, growing shedding and detailed vortex structures are investigated. To reduce abnormal vortices, an anti-vortex device is considered and its effect is investigated and discussed.

• Journal of the Korean Society for Railway
• /
• v.6 no.4
• /
• pp.232-238
• /
• 2003

A health monitoring system becomes a very useful tool to obtain information on long term behavior of the important railway structures such as very long span and special type bridges. It can be also used to give a warning signal to the maintenance engineer when the structure shows abnormal behavior. However, due to long term use and temperature changes, the health monitoring system needs to be calibrated periodically. In this study, calibration and gauge factor readjustment process made for the health monitoring system installed in the railroad bridges and tunnel are reviewed and a few findings are updated. Future work will be concentrated on the long-term analysis of the measurement data and on the database structures so that the assessment of the structure is possible

• Animal cells and systems
• /
• v.10 no.4
• /
• pp.237-241
• /
• 2006

Chemotactic behavior is essential for the survival of animals. However, the mechanism by which animals carry out chemotaxis is poorly understood. To explore the biochemical events underlying chemotaxis, we isolated C. elegans mutants that displayed abnormal chemotactic responses to cAMP, a strong attractant for C. elegans. Based on their responses to other chemoattractants, the mutant animals could be classified into five groups: (1) animals with defective chemotaxis to cAMP only; (2) animals with defective chemotaxis to both cAMP and cGMP; (3) animals with defective chemotaxis to water-soluble attractants; (4) animals with defective chemotaxis to both water-soluble and volatile attractants; and (5) animals with enhanced chemotactic responses. We expect that analyses of these mutants will help understand the molecular mechanisms underlying chemotaxis in C. elegans.

• Bulletin of the Korean Chemical Society
• /
• v.6 no.4
• /
• pp.218-221
• /
• 1985

Transient charging and discharging currents as well as space charge limited currents have been measured in biaxially stretched poly(vinylidene fluoride) film under various poling fields and temperatures. At low temperatures and short poling times, the I-V characteristics showed shallow trap behavior. When the current values extrapolated to the infinite time, the I-V characteristics indicate that the distribution of the trap energy levels is uniform or very broad. The abnormal suppression of current at higher poling voltages and the high discharge rate observed also in the same voltage range are attributed to the morphological changes due to dipole reorientation.

• International Journal of Internet, Broadcasting and Communication
• /
• v.14 no.2
• /
• pp.119-128
• /
• 2022

Recently, due to the development of related technologies for autonomous vehicles, driving work is changing more safely. However, the development of support technologies for level 5 full autonomous driving is still insufficient. That is, even in the case of an autonomous vehicle, the driver needs to drive through forward attention while driving. In this paper, we propose a method to monitor driving tasks by recognizing driver behavior. The proposed method uses pre-trained deep convolutional neural network models to recognize whether the driver's face or body has unnecessary movement. The use of pre-trained Deep Convolitional Neural Network (DCNN) models enables high accuracy in relatively short time, and has the advantage of overcoming limitations in collecting a small number of driver behavior learning data. The proposed method can be applied to an intelligent vehicle safety driving support system, such as driver drowsy driving detection and abnormal driving detection.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.05a
• /
• pp.487-490
• /
• 2021

최근 반려동물 관련 산업이 증가함에 따라 반려동물의 행동을 분석하는 연구가 진행되고 있다. 이를 바탕으로 본 논문에서는 반려동물 행동 분석을 통한 이상행동 예측 시스템을 제안한다. 이 시스템은 CCTV로부터 반려동물의 영상 데이터를 수집하고, YOLOv4(You Only Look Once version 4)를 통해 반려동물의 객체를 탐지한다. 행동을 분석하기 위해 탐지된 반려동물 객체를 DeepLabCut 딥러닝 알고리즘을 사용하여 관절 좌표 정보를 추출한다. 추출된 관절 좌표와 반려동물의 일반적인 행동을 매칭하여 이상행동을 예측하기 위한 DNN(Deep Neural Networks)의 입력 데이터로써 사용된다. 위 과정을 통해 반려동물의 전체적인 행동을 분석하여 이상행동을 예측한다. 이 시스템을 통해 반려동물의 행동을 분석하고 이상행동을 예측함으로써 반려동물 의료 관련 사업에도 적용될 수 있을 것이다.