In today's fast-changing business environment, organizations need to be adaptable and responsive to change. Effective decision-making enables companies to cope with uncertainty and adjust their strategies and oper...
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ISBN:
(纸本)9798350373981;9798350373974
In today's fast-changing business environment, organizations need to be adaptable and responsive to change. Effective decision-making enables companies to cope with uncertainty and adjust their strategies and operations promptly. In this context, the emergence of intelligent decision support systems (DSS) shows great promise. These systems enable companies to analyze data, identify patterns, and offer valuable insights to facilitate informed decision-making. An intelligent DSS for updating control plans is presented in this paper. The proposed system incorporates two methods to assist the decision-maker in choosing the optimal control scenario. The first involves making a manual decision based on several criteria. The second uses the case-based reasoning (CBR) technique to make an automatic recommendation. Moreover, the suggested recommender system (RS) enables the control plans to be updated regularly depending on the current state of the process quality. To increase the quality of decisions, CBR is used to acquire the necessary knowledge. The viability and applicability of the suggested RS are demonstrated through a practical case study.
The present research looks at the crucial role that Strategic Information systems (SIS) play in promoting organizational transformation and change in the IT industry. In-depth interviews with 10 IT specialists and org...
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This paper presents a novel approach to automated drifting with a standard passenger vehicle, which involves a Nonlinear Model Predictive control to stabilise and maintain the vehicle at high sideslip angle conditions...
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ISBN:
(纸本)9798350355376;9798350355369
This paper presents a novel approach to automated drifting with a standard passenger vehicle, which involves a Nonlinear Model Predictive control to stabilise and maintain the vehicle at high sideslip angle conditions. The proposed controller architecture is split into three components. The first part consists of the offline computed equilibrium maps, which provide the equilibrium points for each vehicle state given the desired sideslip angle and radius of the path. The second is the predictive controller minimising the errors between the equilibrium and actual vehicle states. The third is a path-following controller, which reduces the path error, altering the equilibrium curvature path. In a high-fidelity simulation environment, we validate the controller architecture capacity to stabilise the vehicle in automated drifting along a desired path, with a maximal lateral path deviation of 1 m. In the experiments with a standard passenger vehicle, we demonstrate that the proposed approach is capable of bringing and maintaining the vehicle at the desired 30 deg sideslip angle in both high and low friction conditions.
When using the FastICA algorithm for blind signal separation, if the time delay of the signals is considered, the mixed signals are convolution superposition between independent signals. At this time, the FastICA algo...
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In this paper, we propose an effective synchronization scheme which is suitable for UWB impulse radio systems under noise and ISI channels. Traditionally, the synchronization scheme for UWB system only support single ...
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With the development of intelligent High-Speed Railway, 5G network, Mobile Edge computing (MEC) and multi-train cooperative control are adopted to support advanced technologies. Inter-train communication is a key fact...
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ISBN:
(数字)9781665468800
ISBN:
(纸本)9781665468800
With the development of intelligent High-Speed Railway, 5G network, Mobile Edge computing (MEC) and multi-train cooperative control are adopted to support advanced technologies. Inter-train communication is a key factor in multi-train cooperative operation, but it has complex communication topology and is prone to interference. With the increase of on-board computing tasks, the lack of computing capacity is increasingly significant. In this paper, a novel communication scheme based on MECs is proposed to enable equivalent inter-train information transmission. Considered the operation time of different topology and load balancing, a multi-objective optimization model is established to minimize the number of topology switching and MECs in this scheme. And a two-phase algorithm is designed to search for the optimal deployment of MECs, which is combined with Particle Swarm Optimization (PSO). The simulation results show that the proposed deployment strategy can minimize the number of MECs while meeting the quality of service.
With the emergence of automated vehicles in future urban traffic, the aim is to achieve enhanced connectivity and cooperation among these vehicles themselves, as well as with traffic controlsystems, to ensure increas...
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ISBN:
(纸本)9798350349603;9798350349597
With the emergence of automated vehicles in future urban traffic, the aim is to achieve enhanced connectivity and cooperation among these vehicles themselves, as well as with traffic controlsystems, to ensure increased traffic safety, even within a mixed operational system. In the project KIS'M, an "AI-based system for connected mobility" is being tested, aimed at addressing the challenges of autonomous, driverless, and on-demand operations in dynamically expanding service areas. In this paper we focus on the importance of interaction between vehicles and cooperative infrastructure for automated and connected driving. In particular, the implementation and testing of cooperative applications in the KIS'M project in Berlin, Germany is presented. The expansion of cooperative infrastructure and related approval processes are addressed, as were various use cases and recommendations for future expansion. The paper emphasizes the need for standardization and technical feasibility to achieve widespread use and improve traffic flow.
PID control is an excellent control method and one of the first inverter control strategies to emerge. Its robustness, precise control and simple algorithm logic are often used in industrial production technology to c...
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This manuscript presents a comparative study of FPGA and GPU architectures, highlighting their contributions to enhancing the computing power of integrated circuits. It emphasizes the significance of computing power a...
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The paper proposes a novel Conceptual Graph Reasoning Network (CGR) for analyzing traffic events in videos, which is crucial for autonomous vehicles, assisted driving, and intelligent transportation systems (ITS). CGR...
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