• 제목/요약/키워드: problem situations

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울혈성 심부전증 환자의 앉은 자세에서의 마취 유도 (Anesthetic Induction in a Sitting Position for a Patient with Congestive Heart Failure)

  • 김승동;정걸;지대림
    • Journal of Yeungnam Medical Science
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    • 제25권2호
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    • pp.150-153
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    • 2008
  • A 67-year-old woman with severe congestive heart failure (New York Heart Association, NYHA class IV) was set to receive general anesthesia for cardiac surgery. For several months, she had been in a constant sitting position from which the slightest change evoked dyspnea. A patient in such a condition is rarely considered a candidate for general anesthesia, because such patients are never eligible for any type of surgery other than that used to fix the heart problem itself. We report this case to explain how anesthesia was induced with the patient sitting in a crouching position and discuss other methods of induction that can probably be used in similar situations.

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회전운동을 고려하지 않고 유도된 유도지령이 발사체의 자세안정성에 미치는 영향분석 (Influence analysis of the guidance commands on attitude stability of a launch vehicle)

  • 최재원;이장규
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.469-473
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    • 1992
  • The conventional closed-loop guidance commands are generated from a simplified point mass model for real time operations. In real situations, the generated guidance commands are applied to the original rigid body. This can cause attitude instability of the vehicle. In this paper, in order to solve the attitude instability problem in the guidance system sense, the influence of the guidance commands on a launch vehicle attitude is derived quantitatively. The checking method of the attitude stability conditions that uses Liapunov theorem is proposed, and the attitude stabilizing method is also proposed. The attitude stability is accomplished by subtracting the influence of the guidance commands that destabilize the vehicle attitude. The closed-loop guidance commands generated from the simplified point mass model may destabilize the vehicle attitude, which is verified through simulations. In this case, the vehicle attitude can be always stabilized with the proposed attitude stabilizing method without additive fuel consumption.

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계층구조 시스템에서의 최적 중복 구조 설계

  • 김종운;윤원영;신주환
    • 한국신뢰성학회:학술대회논문집
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    • 한국신뢰성학회 2000년도 추계학술대회
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    • pp.399-404
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    • 2000
  • Redundancy allocation problems have been considered at single-level systems and it may be the best policy in some specific situations, but not in general. With regards to reliability, it is most effective to allocate the lowest objects, because parallel-series systems are more reliable than series-parallel systems. However, the smaller and tower in the system an object is, the more time and accuracy are needed for duplicating it, and so, the cost can be decreased by using modular redundancy. Therefore, providing redundancy at high levels like as modules or subsystems, can be more economical than providing redundancy at low levels or duplicating components. In this paper, the problem in which redundancy is allocated at all level in a series system is addressed, a mixed integer nonlinear programming model is presented and genetic algorithm is proposed. An example illustrates the procedure.

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3-D elastoplastic finite element analysis of umbrella arch reinforcement system for tunnelling

  • Shin Hyu-Soung;Sicilia Carlos;Bae Gyu-Jin;Kim Chang-Yong;Hong Sung-Wan
    • 한국지구물리탐사학회:학술대회논문집
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    • 한국지구물리탐사학회 2003년도 Proceedings of the international symposium on the fusion technology
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    • pp.184-191
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    • 2003
  • In this paper, a mathematical framework based on a homogenisation technique to simulate 'umbrella arch reinforcement system' (UARS) and its implementation into a 3D Finite Element program that can consider stage construction situations are presented. The constitutive model developed allows considering the main design parameters of the problem and only requires geometrical and mechanical properties of the constituents. Additionally, the use of a homogenisation approach implies that the generation of the Finite Element mesh can be easily produced and that re-meshing is not required as basic geometrical parameters such as the orientation of the pipes are changed. The model developed is used to simulate tunnelling with the UARS. From the analyses, the effects of the main design parameters on the elastic and the elastoplastic analyses are considered.

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포병부대 비계획 사격순서 결정 알고리즘 (Algorithms for Fire Sequencing Problem in Unplanned Artillery Attack Operation)

  • 최용백;김경섭
    • 산업경영시스템학회지
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    • 제35권2호
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    • pp.37-44
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    • 2012
  • This paper focuses on scheduling problems arising in the military. In planned artillery attack operations, a large number of threatening enemy targets should be destroyed to minimize fatal loss to the friendly forces. We consider a situation in which the number of available weapons is smaller than the number of targets. Therefore it is required to develop a new sequencing algorithm for the unplanned artillery attack operation. The objective is to minimize the total loss to the friendly forces from the targets, which is expressed as a function of the fire power potential, after artillery attack operations are finished. We develop an algorithm considering the fire power potential and the time required to destroy the targets. The algorithms suggested in this paper can be used in real artillery attack operations if they are modified slightly to cope with the practical situations.

An accident diagnosis algorithm using long short-term memory

  • Yang, Jaemin;Kim, Jonghyun
    • Nuclear Engineering and Technology
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    • 제50권4호
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    • pp.582-588
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    • 2018
  • Accident diagnosis is one of the complex tasks for nuclear power plant (NPP) operators. In abnormal or emergency situations, the diagnostic activity of the NPP states is burdensome though necessary. Numerous computer-based methods and operator support systems have been suggested to address this problem. Among them, the recurrent neural network (RNN) has performed well at analyzing time series data. This study proposes an algorithm for accident diagnosis using long short-term memory (LSTM), which is a kind of RNN, which improves the limitation for time reflection. The algorithm consists of preprocessing, the LSTM network, and postprocessing. In the LSTM-based algorithm, preprocessed input variables are calculated to output the accident diagnosis results. The outputs are also postprocessed using softmax to determine the ranking of accident diagnosis results with probabilities. This algorithm was trained using a compact nuclear simulator for several accidents: a loss of coolant accident, a steam generator tube rupture, and a main steam line break. The trained algorithm was also tested to demonstrate the feasibility of diagnosing NPP accidents.

유통환경에서의 고객 부정행동: 소비자 관점의 고찰 (Customer Misbehavior in Retail Settings: The Customer's Viewpoint)

  • 박경애
    • 한국의류학회지
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    • 제34권7호
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    • pp.1126-1137
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    • 2010
  • Customer misbehavior is a behavior that disrupts generally accepted behavioral norms in consumption situations. This study examined customer misbehavior in retail settings by identifying behavioral patterns and exploring behavioral backgrounds and consequences from a customer viewpoint. Qualitative data were collected from individual in-depth interviews, and 149 interviews were analyzed. Customer misbehavior was categorized into unethical returns, problem behaviors in service encounters, shoplifting/fraud, ill-mannered behaviors, and selfish behaviors. Motivations included monetary gain, adventurism, perceived acceptability of misbehavior, planned unfair complaints, and retaliation. Customers showed a negative image to unkind employees and stores yielding to misbehaviors that were learned and socialized among customers. The study further discusses implications.

A Group-aware Multicast Scheme in 60GHz WLANs

  • Park, Hyun-Hee;Kang, Chul-Hee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권5호
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    • pp.1028-1048
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    • 2011
  • The relation of multicast transmission and directional antennas is an open problem that has been debated for a long period of time. In this paper, we propose a group-aware multicast scheme of efficient multicast communication using the directional antennas for 60GHz millimeter wave wireless networks. For this purpose, we first derive the relation among beamwidth, distance between devices and most suitable data rate in the 60GHz frequency-based wireless network. In addition, for the dynamic beamforming of multicast communication, the x and y coordinates of any point with sender device at the center is generated, and a best-chosen group is deduced based on the Euclidean distance. Then the most suitable data rate for the group is obtained using the law of cosine. Using the Standard IEEE 802.11ad MAC protocol as an example, extensive simulation results demonstrate that the proposed scheme outperforms the existing multicast communication schemes with directional antennas under different situations.

Estimation of Coverage Growth Functions

  • Park, Joong-Yang;Lee, Gye-Min;Kim, Seo-Yeong
    • Communications for Statistical Applications and Methods
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    • 제18권5호
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    • pp.667-674
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    • 2011
  • A recent trend in software reliability engineering accounts for the coverage growth behavior during testing. The coverage growth function (representing the coverage growth behavior) has become an essential component of software reliability models. Application of a coverage growth function requires the estimation of the coverage growth function. This paper considers the problem of estimating the coverage growth function. The existing maximum likelihood method is reviewed and corrected. A method of minimizing the sum of squares of the standardized prediction error is proposed for situations where the maximum likelihood method is not applicable.

A General Procedure for Estimating the General Parameter Using Auxiliary Information in Presence of Measurement Errors

  • Singh, Housila P.;Karpe, Namrata
    • Communications for Statistical Applications and Methods
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    • 제16권5호
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    • pp.821-840
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    • 2009
  • This article addresses the problem of estimating a family of general population parameter ${\theta}_{({\alpha},{\beta})}$ using auxiliary information in the presence of measurement errors. The general results are then applied to estimate the coefficient of variation $C_Y$ of the study variable Y using the knowledge of the error variance ${\sigma}^2{_U}$ associated with the study variable Y, Based on large sample approximation, the optimal conditions are obtained and the situations are identified under which the proposed class of estimators would be better than conventional estimator. Application of the main result to bivariate normal population is illustrated.