• Title/Summary/Keyword: Action scenario

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Fuzzy Reliability Analysis Models for Maintenance of Bridge Structure Systems (교량구조시스템의 유지관리를 위한 퍼지 신뢰성해석 모델)

  • 김종길;손용우;이증빈;이채규;안영기
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2003.10a
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    • pp.103-114
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    • 2003
  • This paper aims to propose a method that helps maintenance engineers to evaluate the damage states of bridge structure systems by using a Fuzzy Fault Tree Analysis. It may be stated that Fuzzy Fault Tree Analysis may be very useful for the systematic and rational fuzzy reliability assessment for real bridge structure systems problems because the approach is able to effectively deal with all the related bridge structural element damages in terms of the linguistic variables that incorporate systematically experts experiences and subjective judgement. This paper considers these uncertainties by providing a fuzzy reliability-based framework and shows that the identification of the optimum maintenance scenario is a straightforward process. This is achieved by using a computer program for LIFETIME. This program can consider the effects of various types of actions on the fuzzy reliability index profile of a deteriorating structures. Only the effect of maintenance interventions is considered in this study. However. any environmental or mechanical action affecting the fuzzy reliability index profile can be considered in LIFETIME. Numerical examples of deteriorating bridges are presented to illustrate the capability of the proposed approach. Further development and implementation of this approach are recommended for future research.

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Development and Selection of Accident Scenarios for Risk Assessment in HF Charging Process (HF 충진 공정의 위험성 평가를 위한 가상사고 시나리오 발굴 및 선정)

  • Jang, Chang-Bong
    • Journal of the Korean Institute of Gas
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    • v.17 no.4
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    • pp.26-32
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    • 2013
  • The best way to prevent major occupational accidents is prohibiting use of hazardous substances such as flammable gas, toxic gas whereas using alternative substances that ensured safety. but if there are no economic efficiency and substituting technologies of alternative substances, the best way is preparing to prevent accidents thoroughly. Therefore, this study has developed and selected release scenarios to use and apply for consequence analysis and emergency action plan for HF charging process of chemical plants that have HF release accidents and high probability of release accidents.

Q Learning MDP Approach to Mitigate Jamming Attack Using Stochastic Game Theory Modelling With WQLA in Cognitive Radio Networks

  • Vimal, S.;Robinson, Y. Harold;Kaliappan, M.;Pasupathi, Subbulakshmi;Suresh, A.
    • Journal of Platform Technology
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    • v.9 no.1
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    • pp.3-14
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    • 2021
  • Cognitive Radio network (CR) is a promising paradigm that helps the unlicensed user (Secondary User) to analyse the spectrum and coordinate the spectrum access to support the creation of common control channel (CCC). The cooperation of secondary users and broadcasting between them is done through transmitting messages in CCC. In case, if the control channels may get jammed and it may directly degrade the network's performance and under such scenario jammers will devastate the control channels. Hopping sequences may be one of the predominant approaches and it may be used to fight against this problem to confront jammer. The jamming attack can be alleviated using one of the game modelling approach and in this proposed scheme stochastic games has been analysed with more single users to provide the flexible control channels against intrusive attacks by mentioning the states of each player, strategies ,actions and players reward. The proposed work uses a modern player action and better strategic view on game theoretic modelling is stochastic game theory has been taken in to consideration and applied to prevent the jamming attack in CR network. The selection of decision is based on Q learning approach to mitigate the jamming nodes using the optimal MDP decision process

Time uncertainty analysis method for level 2 human reliability analysis of severe accident management strategies

  • Suh, Young A;Kim, Jaewhan;Park, Soo Yong
    • Nuclear Engineering and Technology
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    • v.53 no.2
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    • pp.484-497
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    • 2021
  • This paper proposes an extended time uncertainty analysis approach in Level 2 human reliability analysis (HRA) considering severe accident management (SAM) strategies. The method is a time-based model that classifies two time distribution functions-time required and time available-to calculate human failure probabilities from delayed action when implementing SAM strategies. The time required function can be obtained by the combination of four time factors: 1) time for diagnosis and decision by the technical support center (TSC) for a given strategy, 2) time for strategy implementation mainly by the local emergency response organization (ERO), 3) time to verify the effectiveness of the strategy and 4) time for portable equipment transport and installation. This function can vary depending on the given scenario and includes a summation of lognormal distributions and a choice regarding shifting the distribution. The time available function can be obtained via thermal-hydraulic code simulation (MAAP 5.03). The proposed approach was applied to assess SAM strategies that use portable equipment and safety depressurization system valves in a total loss of component cooling water event that could cause reactor vessel failure. The results from the proposed method are more realistic (i.e., not conservative) than other existing methods in evaluating SAM strategies involving the use of portable equipment.

Rebuilding Operational Risk Management Capabilities: Lessons Learned from COVID-19

  • JADWANI, Barkha;PARKHI, Shilpa;KARANDE, Kiran;BARGE, Prashant;BHIMAVARAPU, Venkata Mrudula;RASTOGI, Shailesh
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.9
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    • pp.249-261
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    • 2022
  • Globally, COVID-19 has significantly impacted many different organizations and people. From the banks' perspective, this pandemic has affected banks' corporate and retail customers. Also, banks had to adjust to distributed workforce model. This paper analyses the lessons learned from the COVID-19 pandemic, which can be effectively used to rebuild banks' Operational Risk Management capabilities. The present study used the survey research methodology, which includes structured questionnaires completed by senior banking professionals to analyze the learnings from COVID-19 and understand the distributed workforce model and remote working effectiveness. Findings: The Pandemic accelerated the pace of digital transformation. The lockdown imposed due to the pandemic led to employees working remotely, which has been effective because of enhanced digital capabilities. However, enhanced monitoring is required to prevent data-related issues, and action needs to be taken to address challenges faced in having a remote distributed workforce model, like negative impact on on-the-job learning, data-related risks, and employee wellbeing. COVID-19 is an unprecedented event that could not have been predicted in any scenario analysis. This crisis has highlighted various systemic drawbacks that need to be addressed. Banks can apply the lesson learned from this Pandemic to become more robust in the future.

Resource Allocation Strategy of Internet of Vehicles Using Reinforcement Learning

  • Xi, Hongqi;Sun, Huijuan
    • Journal of Information Processing Systems
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    • v.18 no.3
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    • pp.443-456
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    • 2022
  • An efficient and reasonable resource allocation strategy can greatly improve the service quality of Internet of Vehicles (IoV). However, most of the current allocation methods have overestimation problem, and it is difficult to provide high-performance IoV network services. To solve this problem, this paper proposes a network resource allocation strategy based on deep learning network model DDQN. Firstly, the method implements the refined modeling of IoV model, including communication model, user layer computing model, edge layer offloading model, mobile model, etc., similar to the actual complex IoV application scenario. Then, the DDQN network model is used to calculate and solve the mathematical model of resource allocation. By decoupling the selection of target Q value action and the calculation of target Q value, the phenomenon of overestimation is avoided. It can provide higher-quality network services and ensure superior computing and processing performance in actual complex scenarios. Finally, simulation results show that the proposed method can maintain the network delay within 65 ms and show excellent network performance in high concurrency and complex scenes with task data volume of 500 kbits.

Assessment of seismic retrofitting for soft-story buildings using gapped inclined brace system

  • Tohamy, Mohamed. A.;Elsayed, Mostafa. M.;Akl, Adel. Y.
    • Earthquakes and Structures
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    • v.22 no.3
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    • pp.319-330
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    • 2022
  • Retrofit of soft-story buildings due to seismic loads using Gap-Inclined-Brace (GIB) system is considered a new retrofit technique that aims to maintain both strength and stiffness of structure. In addition, it provides more ductility and less P-delta effect, and subsequently better performance is observed. In this paper, the effect of the eccentricity between GIB and the retrofitted column due to installation on the efficiency of the retrofitting system is studied. In addition, a modification in the determination method of GIB properties is introduced to reduce the eccentricity effect. Also, the effect of GIB system on the seismic response of mid-rise buildings with different heights considering soft-story at various heights has been studied. A numerical model is developed to study the impact of such system on the response of retrofitted soft-story buildings under the action of seismic loads. To achieve that goal, this model is used to perform a numerical investigation, by considering five case study scenarios represent several locations of soft-story of two mid-rise reinforced concrete buildings. At first, Non-linear static pushover analysis was carried out to develop the capacity curves for case studies. Then, Non-linear time history analyses using ten earthquake records with five peak ground accelerations is performed for each case study scenario before and after retrofitting with GIB. The results show that large GIB eccentricity reduce the ultimate lateral resistance and deformation capacity of the retrofitting system. Moreover, the higher the retrofitted building, the more deformation capacity is observed but without significant increase in ultimate lateral resistance.

User Gestures as a Voluntary Action in Products Design - Focused on a Gesture Discovered in User Positive Action to Transform Products (제품디자인에 있어서 자발적 행위로의 유저제스처 -사용자의 긍정적 제품변형행위에 관한 제스처를 중심으로-)

  • 진선태;우흥룡
    • Archives of design research
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    • v.17 no.2
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    • pp.95-104
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    • 2004
  • Creativity is a important keyword for users as well as for main design organization who needs it. But little attention has been given to the aspect of user's creativity, also there has been a few attempt to apply it into design development until now. Nowadays in design areas, user's experiences and actions are changing the passive states receiving meanings into the active states creating meanings voluntarily. It is resonable to suppose that creative stage is important for users and they have the possibility of new ideas of uses and creating new productions. User's experiences of objects includes that of being formed or supported previously and that of voluntary interpretations acquired for himself, which it may be the possibilities predicted in design process or unknown user's action areas. It is likely that creative use process by themselves are the actions applied and deviated from usability and function by main design organization, also creative productions are arranged and made by users. These have a scope of examination and research in probability that is occurs frequently in user. In this research, approaching with a term, 'User gestures', User gestures are the characteristic action areas based on user's voluntary behaviors, where are revealed a unessential and non-operational function as a action itself and various transformation and creation of products as a outcome of action. This fact proves clearly that user gestures have a worth of alive spectrum to observe aspects of user culture and could be a attractive approach to seek easily new design concept for designer and developer. A further direction of this study will be following areas, Ethnography methods research of user gestures, Cultural research to phenomenon of user design and UGSBD(User gesture scenario based design) research. And it seems probable that they are applied in design development as follows, User initiative customization products, User participatory recycling products and creativity-experience design.

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Inaction Inertia Effect - Moderation Effect of Habitual Purchase Behavior and Maximization Behavior - (무행동관성효과 - 습관적 구매성향과 극대화성향의 조절효과를 중심으로 -)

  • Seol, Sang-Cheol;Choi, Woo-Young
    • Management & Information Systems Review
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    • v.37 no.4
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    • pp.195-217
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    • 2018
  • Inaction inertia effect refers to the phenomenon wherein people who missed attractive opportunities in the past do not take any action when they are given the opportunity to receive discounts (sale). The main objective of this study was to find out how such inaction inertia effect influenced the expected regret from the action, expected regret from inaction, and purchase intention depending on the two types of consumption purposes-for pleasure and for practical use. As the personal disposition of each consumer differs from one another, it was expected that habitual purchase behavior and maximization behavior would influence the inaction inertia. An experiment was thus conducted by using a scenario to satisfy the objective of this study. Results showed that in the case of consumers whose consumption purpose was for pleasure, those who habitually purchased the same brand showed a higher level of expected regret from the action and expected regret from inaction. In the case of maximization behavior, no differences were found in the expected regret from the action between practical consumption purpose and pleasurable consumption purpose. On the other hand, differences were found in the level of expected regret from inaction, which is the case wherein consumers who missed their first opportunity to receive discounts (sale) did not make any purchase on their second opportunity for discounts (sale). Thus, inaction inertia was shown in accordance with habitual purchase behavior in the case of consumption purpose for pleasure, but it was not clearly shown in the case of consumption for practical use. This is because there is a relatively low level of justification on consumption, in the case of consumption for practical use. On the other hand, it was found that consumers with maximization behavior felt a stronger sense of regret in the case of their expected regret for inaction in consumption for practical use than in consumption for pleasure. Also, with regard to purchase intention, it turned out that only consumers with pleasurable consumption purpose had purchase intentions. Through these study results, it would be necessary to consider the consumption purpose behind the purchase of products or services, with regard to inaction inertia, depending on personal dispositions. In accordance with these study results, several theoretical and practical implications were discussed.

Scenario-based Flood Disaster Simulation of the Rim Collapse of the Cheon-ji Caldera Lake, Mt. Baekdusan (시나리오에 따른 백두산 천지의 외륜산 붕괴에 의한 홍수재해 모의)

  • Lee, Khil-Ha;Kim, Sang-Hyun;Choi, Eun-Kyeong;Kim, Sung-Wook
    • The Journal of Engineering Geology
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    • v.24 no.4
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    • pp.501-510
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    • 2014
  • Volcanic eruptions alone may lead to serious natural disasters, but the associated release of water from a caldera lake may be equally damaging. There is both historical and geological evidence of the past eruptions of Mt. Baekdusan, and the volcano, which has not erupted for over 100 years, has recently shown signs of reawakening. Action is required if we are to limit the social, political, cultural, and economic damage of any future eruption. This study aims to identify the area that would be inundated following a volcanic flood from the Cheon-Ji caldera lake that lies within Mt. Baekdusan. A scenario-based numerical analysis was performed to generate a flood hydrograph, and the parameters required were selected following a consideration of historical records from other volcanoes. The amount of water at the outer rim as a function of time was used as an upper boundary condition for the downstream routing process for a period of 10 days. Data from the USGS were used to generate a DEM with a resolution of 100 m, and remotely sensed satellite data from the moderate-resolution imaging spectroradiometer (MODIS) were used to show land cover and use. The simulation was generated using the software FLO-2D and was superposed on the remotely sensed map. The results show that the inundation area would cover about 80% of the urban area near Erdaobaihezhen assuming a 10 m/hr collapse rate, and 98% of the area would be flooded assuming a 100 m/hr collapse rate.