• 제목/요약/키워드: Resilient-Based Design

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Risk and Responsibility: Understanding the Distribution of Serious Accident Punishment Act

  • Choongik CHOI
    • 유통과학연구
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    • 제21권6호
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    • pp.31-38
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    • 2023
  • Purpose: This paper investigates how companies respond to government regulations and disasters in a risk-managed society, and aims to initiate discussions on the future prospects and challenges. Specifically, it explores how companies can plan to respond to such disasters in the future, and stresses that the law should be to protect people's lives and ensure safety, rather than to punish companies. Research design, data and methodology: The study methodology is based on a review of existing literature, as well as trend analysis through big data analysis. The research analyzes the discourse in our society regarding the enactment of the Serious Accident Punishment Act. Results: This study supports that the Serious Accident Punishment Act should be implemented in a manner that does not impede corporate activities, but rather helps to ensure the safety of citizens' daily lives. The authors call for collaboration between communities, labor unions, and companies in achieving a cooperative governance system for a safer society. Conclusions: It highlights the importance of addressing disasters and government regulations in the context of a risk-managed society, and offers insights for both companies and policymakers on how to navigate these challenges. By prioritizing safety and cooperation, we can work towards building a safer and more resilient society

마운트 배치 최적화를 통한 지게차 엔진 진동 저감 (Vibration Reduction of Forklift Truck Using Optimization of Engine Mount Layout)

  • 김영현;김규태;이원태
    • 한국소음진동공학회논문집
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    • 제24권2호
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    • pp.102-107
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    • 2014
  • The engine excitation forces are considered as major vibration source for the forklift truck, especially in small class. Even though the current engine mounting system designs are acceptable for vibration isolation, the performance of the engine mounting system is still required for the tendency of light weight, higher power and driver's higher vibration requirement. In this paper vibration reduction technique of forklift engine which is supported on rubber mounts is presented. Based on the dynamic model of resilient engine mounting system, design evaluation program is established. The design optimization technique and evaluation method of system properties are discussed. Effects of optimal design are validated through comparison with test results.

마운트 배치 최적화를 통한 지게차 엔진 진동 저감 (Vibration reduction of forklift truck using optimization of engine mount layout)

  • 김영현;김규태;이원태
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2013년도 추계학술대회 논문집
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    • pp.787-791
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    • 2013
  • The engine excitation forces are considered as major vibration source for the forklift truck, especially in small class. Even though the current engine mounting system designs are acceptable for vibration isolation, the performance of the engine mounting system is still required for the tendency of light weight, higher power and driver's higher vibration requirement. In this paper vibration reduction technique of forklift engine which is supported on rubber mounts is presented. Based on the dynamic model of resilient engine mounting system, design evaluation program is established. The design optimization technique and evaluation method of system properties are discussed. Effects of optimal design are validated through comparison with test results.

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노드의 복원력이 있는 온톨로지 기반의 동적 멀티캐스트 라우팅 연구 (A study on Robust Topology for the Resilient Ontology-based Dynamic Multicast Routing Protocol)

  • 김순국;두경민;지삼현;이강환
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2007년도 춘계종합학술대회
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    • pp.188-194
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    • 2007
  • Ad-hoc망은 기반의 하부 구조 계층의 도움 없이 이동 노드와 클러스터(Cluster)들만으로 구성된 유연한 무선 통신망이다. 위의 연구 기술은 제한된 대역폭과 높은 이동성으로 인해 ad-hoc망에서는 견고하고 간단하면서도 에너지 소비를 최소화해야 한다. 본 논문에서는 이동 노드의 위치 정보를 탐색하여 임의의 클러스터 영역을 지정하여 효율적인 온톨로지(Ontology) 기술의 망을 형성시켜, 네트워크의 변화에 대한 예측을 가능케 하는 추론망을 제안한다. 초기에는 mesh 형태의 망을 구성하고 각 노드간의 거리를 분석하고 노드의 이전 값과 현재의 값을 비교하여 노드의 방향성을 예측한다. 이는 노드의 다양한 상황 정보 수집을 해석하여 추론이 가능한 온톨로지 기반의 상황인식(Context-Awareness)기술을 활용하였다. 제안하고자 하는 RODMRP(Resilient Ontology-based Dynamic Multicast Routing Protocol)의 추론망 구조는 온톨로지 기반에서 하나의 상황인식 형태를 떤 이동 노드에서 복원력이 뛰어난 트리 구조를 제공한다. 제안된 RODMRP는 이동 노드간의 변화된 환경에서의 재연결성 유지 및 과도한 packet의 증가에 따른 traffic 증가와 중복 전송에 따른 패킷내에서의 중복정보의 제거 목적으로 제안되었다.

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비선형 포장 하부 거동을 고려한 연성 포장의 해석 (The Response Prediction of Flexible Pavements Considering Nonlinear Pavement Foundation Behavior)

  • 김민관
    • 한국도로학회논문집
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    • 제11권1호
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    • pp.165-175
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    • 2009
  • 역학적 경험적 포장 설계법을 도입하려는 현재의 연구추세에 발 맞추어 정확한 응력, 변형률, 변형을 기초로 포장구조체를 해석하기 위한 역학적 접근방법이 필요한 시점이다. 기존의 실험결과에 따르면 연성포장 구조의 기층에 이용되는 자갈과 노상층에 이용되는 노상토등의 포장 하부재료는 반복하중 조건하에서 비선형 회복탄성계수의 특징을 따르는 것으로 나타났다. 이 비선형 거동은 재료의 현재 응력에 의한 회복탄성계수 모델로 나타나질 수 있으며 정확한 해를 구할 수 있는 역학적 방법중의 하나인 유한요소 해석 방법에 적용되어 질 수 있다. 이 연구에서는 비선형 해석기법과 효과적인 해 수렴기법이 구현된 재료 모델 부 프로그램을 범용 유한요소 프로그램의 하나인 아바쿠스에 적용시켰다. 이 수치해석 방법에는 더 정확한 해를 찾기 위한 체눈분할에 의해 만들어진 유한요소 모델이 이용되었다. 이런 일련의 방법들에 의한 포장구조체의 해석결과, 2차원과 3차원 비선형 유한요소 해석의 결과가 큰 차이를 보이는 것으로 나타났다. 또한, 사용된 부 프로그램은 미연방 항공국 공항 시험포장에서 측정되어진 결과 값에 의해 비교 검증되었다.

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Apply evolved grey-prediction scheme to structural building dynamic analysis

  • Z.Y. Chen;Yahui Meng;Ruei-Yuan Wang;Timothy Chen
    • Structural Engineering and Mechanics
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    • 제90권1호
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    • pp.19-26
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    • 2024
  • In recent years, an increasing number of experimental studies have shown that the practical application of mature active control systems requires consideration of robustness criteria in the design process, including the reduction of tracking errors, operational resistance to external disturbances, and measurement noise, as well as robustness and stability. Good uncertainty prediction is thus proposed to solve problems caused by poor parameter selection and to remove the effects of dynamic coupling between degrees of freedom (DOF) in nonlinear systems. To overcome the stability problem, this study develops an advanced adaptive predictive fuzzy controller, which not only solves the programming problem of determining system stability but also uses the law of linear matrix inequality (LMI) to modify the fuzzy problem. The following parameters are used to manipulate the fuzzy controller of the robotic system to improve its control performance. The simulations for system uncertainty in the controller design emphasized the use of acceleration feedback for practical reasons. The simulation results also show that the proposed H∞ controller has excellent performance and reliability, and the effectiveness of the LMI-based method is also recognized. Therefore, this dynamic control method is suitable for seismic protection of civil buildings. The objectives of this document are access to adequate, safe, and affordable housing and basic services, promotion of inclusive and sustainable urbanization, implementation of sustainable disaster-resilient construction, sustainable planning, and sustainable management of human settlements. Simulation results of linear and non-linear structures demonstrate the ability of this method to identify structures and their changes due to damage. Therefore, with the continuous development of artificial intelligence and fuzzy theory, it seems that this goal will be achieved in the near future.

Human activity classification using Neural Network

  • Sharma, Annapurna;Lee, Young-Dong;Chung, Wan-Young
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2008년도 춘계종합학술대회 A
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    • pp.229-232
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    • 2008
  • A Neural network classification of human activity data is presented. The data acquisition system involves a tri-axial accelerometer in wireless sensor network environment. The wireless ad-hoc system has the advantage of small size, convenience for wearability and cost effectiveness. The system can further improve the range of user mobility with the inclusion of ad-hoc environment. The classification is based on the frequencies of the involved activities. The most significant Fast Fourier coefficients, of the acceleration of the body movement, are used for classification of the daily activities like, Rest walk and Run. A supervised learning approach is used. The work presents classification accuracy with the available fast batch training algorithms i.e. Levenberg-Marquardt and Resilient back propagation scheme is used for training and calculation of accuracy.

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Synergy: An Overlay Internetworking Architecture and Implementation

  • Kwon, Min-Seok;Fahmy, Sonia
    • Journal of Communications and Networks
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    • 제12권2호
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    • pp.181-190
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    • 2010
  • A multitude of overlay network designs for resilient routing, multicasting, quality of service, content distribution, storage, and object location have been proposed. Overlay networks offer several attractive features, including ease of deployment, flexibility, adaptivity, and an infrastructure for collaboration among hosts. In this paper, we explore cooperation among co-existing, possibly heterogeneous, overlay networks. We discuss a spectrum of cooperative forwarding and information sharing services, and investigate the associated scalability, heterogeneity, and security problems. Motivated by these services, we design Synergy, a utility-based overlay internetworking architecture that fosters overlay cooperation. Our architecture promotes fair peering relationships to achieve synergism. Results from Internet experiments with cooperative forwarding overlays indicate that our Synergy prototype improves delay, throughput, and loss performance, while maintaining the autonomy and heterogeneity of individual overlay networks.

Smart composite repetitive-control design for nonlinear perturbation

  • ZY Chen;Ruei-Yuan Wang;Yahui Meng;Timothy Chen
    • Steel and Composite Structures
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    • 제51권5호
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    • pp.473-485
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    • 2024
  • This paper proposes a composite form of fuzzy adaptive control plan based on a robust observer. The fuzzy 2D control gains are regulated by the parameters in the LMIs. Then, control and learning performance indices with weight matrices are constructed as the cost functions, which allows the regulation of the trade-off between the two performance by setting appropriate weight matrices. The design of 2D control gains is equivalent to the LMIs-constrained multi-objective optimization problem under dual performance indices. By using this proposed smart tracking design via fuzzy nonlinear criterion, the data link can be further extended. To evaluate the performance of the controller, the proposed controller was compared with other control technologies. This ensures the execution of the control program used to track position and trajectory in the presence of great model uncertainty and external disturbances. The performance of monitoring and control is verified by quantitative analysis. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Therefore, the goal is believed to achieved in the near future by the ongoing development of AI and control theory.

Novel Pass-transistor Logic based Ultralow Power Variation Resilient CMOS Full Adder

  • Guduri, Manisha;Islam, Aminul
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제17권2호
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    • pp.302-317
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    • 2017
  • This paper proposes a new full adder design based on pass-transistor logic that offers ultra-low power dissipation and superior variability together with low transistor count. The pass-transistor logic allows device count reduction through direct logic realization, and thus leads to reduction in the node capacitances as well as short-circuit currents due to the absence of supply rails. Optimum transistor sizing alleviates the adverse effects of process variations on performance metrics. The design is subjected to a comparative analysis against existing designs based on Monte Carlo simulations in a SPICE environment, using the 22-nm CMOS Predictive Technology Model (PTM). The proposed ULP adder offers 38% improvement in power in comparison to the best performing conventional designs. The trade-off in delay to achieve this power saving is estimated through the power-delay product (PDP), which is found to be competitive to conventional values. It also offers upto 79% improvement in variability in comparison to conventional designs, and provides suitable scalability in supply voltage to meet future demands of energy-efficiency in portable applications.