• Title/Summary/Keyword: Continuous handling

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Observer-Based Output Feedback Stochastic Stabilization for T-S Fuzzy Systems with Input Delay (입력지연을 갖는 T-S 퍼지 시스템의 관측기기반 출력궤환 확률적 안정화)

  • Lee, Sang In;Park, Jin Bae;Joo, Young Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.3
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    • pp.298-303
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    • 2004
  • This paper deals with a stochastic stabilization of observer-based output-feedback control Takagi-Sugeno (T-S) fuzzy system with Markovian input delay. The finite Markovian process is adopted to model the input delay of the overall control system. It is assumed that the zero and hold devices are used for control input. The continuous-time T-S fuzzy system with the Markovian input delay is discretized for easy handling delay, accordingly, the discretized T-S fuzzy system is represented by a discrete-time T-S fuzzy system with jumping parameters. The stochastic stabilizability of the jump T-S fuzzy system is derived and formulated in terms of linear matrix inequalities (LMIs). The usefulness of the proposed algorithm is also certificated by simulation of 2 degree of freedom helicopter model.

Application of Compressive Sensing and Statistical Analysis to Condition Monitoring of Rotating Machine (압축센싱과 통계학적 기법을 적용한 회전체 시스템의 상태진단)

  • Lee, Myung Jun;Jeon, Jun Young;Park, Gyuhae;Kang, To;Han, Soon Woo
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.26 no.6_spc
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    • pp.651-659
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    • 2016
  • Condition monitoring (CM) encounters a large data problem due to sensors that measure vibration data with a continuous, and sometimes, high sampling rate. In this study, compressive sensing approaches for condition monitoring are proposed to demonstrate the efficiency in handling a large amount of data and to improve the damage detection capability of the current condition monitoring process. Compressive sensing is a novel sensing/sampling paradigm that takes much fewer samples compared to traditional sampling methods. For the experiments a built-in rotating system was used and all data were compressively sampled to obtain compressed data. Optimal signal features were then selected without the reconstruction process and were used to detect and classify damage. The experimental results show that the proposed method could improve the data processing speed and the accuracy of condition monitoring of rotating systems.

On the Particle Swarm Optimization of cask shielding design for a prototype Sodium-cooled Fast Reactor

  • Lim, Dong-Won;Lee, Cheol-Woo;Lim, Jae-Yong;Hartanto, Donny
    • Nuclear Engineering and Technology
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    • v.51 no.1
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    • pp.284-292
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    • 2019
  • For the continuous operation of a nuclear reactor, burnt fuel needs to be replaced with fresh fuel, where appropriate (ex-vessel) fuel handling is required. Particularly for the Sodium-cooled Fast Reactor (SFR) refueling, its process has unique challenges due to liquid sodium coolant. The ex-vessel spent fuel transportation should concern several design features such as the radiation shielding, decay-heat removal, and inert space separated from air. This paper proposes a new design optimization methodology of cask shielding to transport the spent fuel assembly in a prototype SFR for the first time. The Particle Swarm Optimization (PSO) algorithm had been applied to design trade-offs between shielding and cask weight. The cask is designed as a double-cylinder structure to block an inert sodium region from the air-cooling space. The PSO process yielded the optimum shielding thickness of 26 cm, considering the weight as well. To confirm the shielding performance, the radiation dose of spent fuel removed at its peak burnup and after 1-year cooling was calculated. Two different fuel positions located during transportation were also investigated to consider a functional disorder in a cask drive system. This study concludes the current cask design in normal operations is satisfactory in accordance with regulatory rules.

Study on the digitalization of trip equations including dynamic compensators for the Reactor Protection System in NPPs by using the FPGA

  • Kwang-Seop Son;Jung-Woon Lee;Seung-Hwan Seong
    • Nuclear Engineering and Technology
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    • v.55 no.8
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    • pp.2952-2965
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    • 2023
  • Advanced reactors, such as Small Modular Reactors or existing Nuclear Power Plants, often use Field Programmable Gate Array (FPGA) based controllers in new Instrumentation and Control (I&C) system architectures or as an alternative to existing analog-based I&C systems. Compared to CPU-based Programmable Logic Controllers (PLCs), FPGAs offer better overall performance. However, programming functions on FPGAs can be challenging due to the requirement for a hardware description language that does not explicitly support the operation of real numbers. This study aims to implement the Reactor Trip (RT) functions of the existing analog-based Reactor Protection System (RPS) using FPGAs. The RT equations for Overtemperature delta Temperature and Overpower delta Temperature involve dynamic compensators expressed with the Laplace transform variable, 's', which is not directly supported by FPGAs. To address this issue, the trip equations with the Laplace variable in the continuous-time domain are transformed to the discrete-time domain using the Z-transform. Additionally, a new operation based on a relative value for the equation range is introduced for the handling of real numbers in the RT functions. The proposed approach can be utilized for upgrading the existing analog-based RPS as well as digitalizing control systems in advanced reactor systems.

Deep reinforcement learning for a multi-objective operation in a nuclear power plant

  • Junyong Bae;Jae Min Kim;Seung Jun Lee
    • Nuclear Engineering and Technology
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    • v.55 no.9
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    • pp.3277-3290
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    • 2023
  • Nuclear power plant (NPP) operations with multiple objectives and devices are still performed manually by operators despite the potential for human error. These operations could be automated to reduce the burden on operators; however, classical approaches may not be suitable for these multi-objective tasks. An alternative approach is deep reinforcement learning (DRL), which has been successful in automating various complex tasks and has been applied in automation of certain operations in NPPs. But despite the recent progress, previous studies using DRL for NPP operations have limitations to handle complex multi-objective operations with multiple devices efficiently. This study proposes a novel DRL-based approach that addresses these limitations by employing a continuous action space and straightforward binary rewards supported by the adoption of a soft actor-critic and hindsight experience replay. The feasibility of the proposed approach was evaluated for controlling the pressure and volume of the reactor coolant while heating the coolant during NPP startup. The results show that the proposed approach can train the agent with a proper strategy for effectively achieving multiple objectives through the control of multiple devices. Moreover, hands-on testing results demonstrate that the trained agent is capable of handling untrained objectives, such as cooldown, with substantial success.

Fast and Accurate Handling of Solid Collisions with Boundary Problem of Air Meshes (공기 메쉬의 경계 문제를 이용한 고체 충돌의 빠르고 정확한 처리)

  • Moon, Seong-Hyeok;Kim, Jong-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.07a
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    • pp.569-572
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    • 2022
  • 본 논문에서는 공기 메쉬(Air meshes)를 이용하여 고체의 충돌을 효율적으로 처리할 수 있는 새로운 방법을 제시한다. 기존의 프리미티브 단위의 충돌 처리는 시뮬레이션의 안정성을 높이기 위해 시간 간격(Time-step), 3차 방정식과 같은 큰 계산 과정을 필요로 했으며, 장면 복잡도에 따라 DCD(Discrete collision detection)뿐만 아니라 CCD(Continuous collision detection)까지 고려해야 되는 상황이 빈번히 발생한다. 본 논문에서는 이전에 제안된 공기 메쉬 기법을 통해 충돌처리를 효율적으로 개선시킬 수 있는 방법에 대해서 제안한다. 원본 공기 메쉬 접근법은 시뮬레이션 메쉬가 아닌, 주변 공기를 메쉬화시키고 이들의 변형을 부피로 근사하여 충돌 여부 및 처리를 인지하고 예측했다. 공기 메쉬를 정제하는 과정에서 수치적인 수렴을 위해 정삼각형을 유지하려는 제약사항을 두었다. 하지만, 이러한 방법은 장면에 따라 노이즈한 결과를 나타내며, 헤어나 털 시뮬레이션과 같은 라인 형태인 시뮬레이션에서는 경계 문제가 더욱더 민감하게 나타났다. 본 논문에서는 공기 메쉬를 정제하는 과정에서 새로운 제약 조건을 추가하여 노이즈가 완화된 충돌처리 결과를 보여준다. 우리의 헤어뿐만 아니라 대부분의 장면에서 안정적인 결과를 보여준다.

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A Study on the Tourism Watchdog for Optimizing Safety System (관광활동의 민원 관계망 최적화 관광 와치도그 도입에 관한 소고)

  • Kyung-Yeo, Koo
    • Asia-Pacific Journal of Business
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    • v.14 no.2
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    • pp.187-199
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    • 2023
  • Purpose - The purpose of this study is to formulate a plan to cope with tourists' rights which can occur in tourist attraction place and anywhere for tourist activities and to seek a plan for introducing a watchdog system for tourists' civil complaints. Design/methodology/approach - To perform this purpose, this article will discuss a research review of the scope of tourist activities in terms of space and place perspectives and compare them to the watchdog and ombudsman concepts. And the study analyses and look at the suggestion about Tourism complains center and the Tourism policy system of procedure function and role critically. Findings - The Watchdog system is a routine activity in which citizen monitoring activities are developed in the form of a system and share inconvenience and anxiety detected in time and space in the expanding range of entertainment, leisure, and sports tourism activities. The resulting accident rate can be reduced, the administrative and private businesses can be resolved, and the cost of handling can be solved. Research implications or Originality - The social contribution of Watchdog can be systematically expanded and resolved at various sites by securing public trust in the country threats in daily places preventing risks securing continuous safety management of related facilities and other industries

Comparative Evaluation of Egg Quality in Response to Temperature Variability: From Farm to Table Exposure Scenarios

  • Ji-Hoon An;Youngmin Hwang;Sumin Hwang;Hyojin Kwon;Hyelim Gu;Kihwan Park;Changsun Choi
    • Food Science of Animal Resources
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    • v.43 no.6
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    • pp.1002-1016
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    • 2023
  • This study aimed to develop appropriate temperature management practices and provide scientific evidence to support the development of sell-by-date guidance for eggs. Washed and unwashed eggs were subjected to storage under six different scenarios, and both types of eggs were stored at temperatures up to 35℃ to evaluate the sell-by-date. Despite temperature fluctuations or continuous storage at 30℃ for 5 days, subsequent storage at 10℃ resulted in significantly higher Haugh unit and yolk index on day 15. These results indicate that refrigerating eggs from retail sales until consumption is effective for egg quality management, despite the exposure of up to 35℃ during distribution. In terms of sell-by-date evaluation, washed eggs retained class B quality for an additional 37 days beyond the recommended sell-by-date at 15℃, which is above the regulated storage temperature. However, unwashed eggs maintained class B quality for approximately 20 days at 30℃-35℃, emphasizing the need for sell-by-date guidelines for unwashed eggs. This study is the first to provide appropriate egg-handling practices based on the actual distribution environment in Korea.

Bayesian Image Restoration Using a Continuation Method (연속방법을 사용한 Bayesian 영상복원)

  • Lee, Soo-Jin
    • The Journal of Engineering Research
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    • v.3 no.1
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    • pp.65-73
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    • 1998
  • One approach to improved image restoration methods has been the incorporation of additional source information via Gibbs priors that assume a source that is piecewise smooth. A natural Gibbs prior for expressing such constraints is an energy function defined on binary valued line processes as well as source intensities. However, the estimation of both continuous variables and binary variables is known to be a difficult problem. In this work, we consider the application of the deterministic annealing method. Unlike other methods, the deterministic annealing method offers a principled and efficient means of handling the problems associated with mixed continuous and binary variable objectives. The application of the deterministic annealing method results in a sequence of objective functions (defined only on the continuous variables) whose sequence of solutions approaches that of the original mixed variable objective function. The sequence is indexed by a control parameter (the temperature). The energy functions at high temperatures are smooth approximations of the energy functions at lower temperatures. Consequently, it is easier to minimize the energy functions at high temperatures and then track the minimum through the variation of the temperature. This is the essence of a continuation method. We show experimental results, which demonstrate the efficacy of the continuation method applied to a Bayesian restoration model.

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Full validation of high-throughput bioanalytical method for the new drug in plasma by LC-MS/MS and its applicability to toxicokinetic analysis

  • Han, Sang-Beom
    • Proceedings of the Korean Society of Toxicology Conference
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    • 2006.11a
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    • pp.65-74
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    • 2006
  • Modem drug discovery requires rapid pharmacokinetic evaluation of chemically diverse compounds for early candidate selection. This demands the development of analytical methods that offer high-throughput of samples. Naturally, liquid chromatography / tandem mass spectrometry (LC-MS/MS) is choice of the analytical method because of its superior sensitivity and selectivity. As a result of the short analysis time(typically 3-5min) by LC-MS/MS, sample preparation has become the rate- determining step in the whole analytical cycle. Consequently tremendous efforts are being made to speed up and automate this step. In a typical automated 96-well SPE(solid-phase extraction) procedure, plasma samples are transferred to the 96-well SPE plate, internal standard and aqueous buffer solutions are added and then vacuum is applied using the robotic liquid handling system. It takes only 20-90 min to process 96 samples by automated SPE and the analyst is physically occupied for only approximately 10 min. Recently, the ultra-high flow rate liquid chromatography (turbulent-flow chromatography)has sparked a huge interest for rapid and direct quantitation of drugs in plasma. There is no sample preparation except for sample aliquotting, internal standard addition and centrifugation. This type of analysis is achieved by using a small diameter column with a large particle size(30-5O ${\mu}$m) and a high flow rate, typically between 3-5 ml/min. Silica-based monolithic HPLC columns contain a novel chromatographic support in which the traditional particulate packing has been replaced with a single, continuous network (monolith) of pcrous silica. The main advantage of such a network is decreased backpressure due to macropores (2 ${\mu}$m) throughout the network. This allows high flow rates, and hence fast analyses that are unattainable with traditional particulate columns. The reduction of particle diameter in HPLC results in increased column efficiency. use of small particles (<2 urn), however, requires p.essu.es beyond the traditional 6,000 psi of conventional pumping devices. Instrumental development in recent years has resulted in pumping devices capable of handling the requirements of columns packed with small particles. The staggered parallel HPLC system consists of four fully independent binary HPLC pumps, a modified auto sampler, and a series of switching and selector valves all controlled by a single computer program. The system improves sample throughput without sacrificing chromatographic separation or data quality. Sample throughput can be increased nearly four-fold without requiring significant changes in current analytical procedures. The process of Bioanalytical Method Validation is required by the FDA to assess and verify the performance of a chronlatographic method prior to its application in sample analysis. The validation should address the selectivity, linearity, accuracy, precision and stability of the method. This presentation will provide all overview of the work required to accomplish a full validation and show how a chromatographic method is suitable for toxirokinetic sample analysis. A liquid chromatography/tandem mass spectrometry (LC-MS/MS) method developed to quantitate drug levels in dog plasma will be used as an example of tile process.

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