The paper presents the technical infrastructure of the system for monitoring the road transportation of oversized and dangerous goods. It describes the basic components of the system - vehicle sensor network, vehicle ...
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The paper presents the technical infrastructure of the system for monitoring the road transportation of oversized and dangerous goods. It describes the basic components of the system - vehicle sensor network, vehicle on-board unit (OBU), monitoring centre and wireless communication system. Moreover, it specifies some important system parameters, especially the period of sending the data about the state / condition of goods to the monitoring centre.
An important issue in the analysis of two-dimensional electrophoresis images is the detection and quantification of protein spots. The main challenges in the segmentation of 2DGE images are to separate overlapping pro...
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The original TuringTest is modified in order to take into account the age&gender of a Judge who evaluates the machine and the age&gender of a Human with whom the machine is compared during evaluation. This yie...
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ISBN:
(纸本)9781908187154
The original TuringTest is modified in order to take into account the age&gender of a Judge who evaluates the machine and the age&gender of a Human with whom the machine is compared during evaluation. This yields a basic taxonomy of TuringTest-consistent scenarios which is subsequently extended by taking into account the type of intelligence being evaluated. Consistently with the Theory of Multiple Intelligences, nine basic intelligence types are proposed, and an example of a possible scenario for evaluation of emotional intelligence in early stages of development is given. It is suggested that specific intelligence types can be subsequently grouped into hierarchy at the top of which is seated an Artificial Intelligence labelled as "meta-modular". Finally, it is proposed that such a meta-modular AI should be defined as an Artificial Autonomous Agent and should be given all the rights and responsibilities according to age of human counterparts in comparison with whom an AI under question has passed the TuringTest.
The paper deals with the design of the robust PID controller for real uncertain Coupled-Tank process in the frequency domain. Only the first independent tank is considered (single-input single-output system). In robus...
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The paper deals with the design of the robust PID controller for real uncertain Coupled-Tank process in the frequency domain. Only the first independent tank is considered (single-input single-output system). In robust controller design procedure the Edge Theorem and the Neimark's D -partition methods for the affine model are included. For identification and control of Coupled-Tank process LABREG software is used.
The paper shows organization and overview of assignments on nonlinear P and PI control of the liquid level in a single tank associated with exact linearization, its modification considering nonmodelled dynamics and no...
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The paper shows organization and overview of assignments on nonlinear P and PI control of the liquid level in a single tank associated with exact linearization, its modification considering nonmodelled dynamics and nonlinear disturbance-observer (DO) based integral action. The assignments are based on the “learning by doing” and the “learning by experimenting” paradigms carried out in a quasi-authentic framework with a quasi-real plant. The laboratory model of coupled tanks system is introduced which can be used also for more complex tasks.
This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. HSDBC synergizes bacterial foraging algorithm (BFA) chemotaxis strategy and spiral dyn...
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ISBN:
(纸本)9781467315593
This paper presents a hybrid optimization algorithm, referred to as hybrid spiral dynamics bacterial chemotaxis (HSDBC) algorithm. HSDBC synergizes bacterial foraging algorithm (BFA) chemotaxis strategy and spiral dynamics algorithm (SDA). The original BFA has higher convergence speed while SDA has better accuracy and stable convergence when approaching the optimum value. This hybrid approach preserves the strengths of BFA and SDA and thus has the capability of producing better results. Moreover, it has simple structure, hence reduced computational cost. Several unimodal and multimodal benchmark functions are employed to test the algorithm in finding the global optimum point. Furthermore, the proposed algorithm is tested in the design of PD controller for a flexible manipulator system. The results show that the HSDBC outperforms SDA and BFA in all test functions and successfully optimizes the PD controller.
Multivariable time delay processes are difficult to control due to the input-output interactions, as well as multiple time delays that complicate the controller design process. The proposed method presented in this pa...
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Multivariable time delay processes are difficult to control due to the input-output interactions, as well as multiple time delays that complicate the controller design process. The proposed method presented in this paper consists of a dynamic decoupling strategy - compared to the more general used steady state decoupling techniques - and a delay time compensation (DTC) structure in which the controller is designed based on the Extended Prediction Self Adaptive control (EPSAC) approach. The main concern regarding the proposed method is directed towards the possible lack of robustness against time delay variations - a problem that is frequently encountered in DTC structures. Moreover, the decoupling technique implemented consists in adding supplementary time delay to some input channels of the MIMO process, which may result in a worsening of the robustness problems. The simulations presented show that the proposed method can ensure robust stability and robust performance even for significant time delay variations.
Operating in the proximity of humans has been a long-term challenge in robotics research. To achieve this objective, one of the main issues is to ensure safe and comfortable physical human-robot interaction (pHRI). In...
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Operating in the proximity of humans has been a long-term challenge in robotics research. To achieve this objective, one of the main issues is to ensure safe and comfortable physical human-robot interaction (pHRI). In this paper, we tackle the safety problem at the control level. To ensure operation is within perceived safe zone, we use model predictive control, which finds the optimal control signal online, while imposing predefined safety constraints on the robotic system. The strength of this method lies in allowing the system to perform close to, or at the edge of the constraints' boundaries. In contrast to other works we consider here perceived safety; the constraints for perceived safety are derived in a competitive pHRI experiment. The perceived safety and comfort of the proposed approach is then evaluated with a second, game-like pHRI experiment.
The fault detection and isolation problem is studied for a class of nonlinear systems. Under structural conditions, a bank of High-Order Sliding-Mode observers is proposed. The value of the equivalent output injection...
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This paper will report our evaluation to use OpenCL as a platform for hard real-time scheduling. Especially, we have evaluated which types of tasks are faster on GPGPU than on CPU. We have investigated computational t...
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This paper will report our evaluation to use OpenCL as a platform for hard real-time scheduling. Especially, we have evaluated which types of tasks are faster on GPGPU than on CPU. We have investigated computational tasks, memory intensive tasks (especially tasks using low latency GDDR memory) and disk intensive tasks. This study is the part of a larger research program to design an innovative Linux scheduler subsystem that runs on GPGPU and schedules tasks running on GPGPU as well as on CPU. Based on the results we obtained from benchmarking various types of tasks we found out that some of them are faster on GPGPU than on CPU and therefore should preferably be executed on GPGPU. Preliminary data suggest that we can expect a speed up of up to 10-fold with respect to execution time and latency. Main problems of this approach is videoRAM to RAM data transfer. This will be solved via hardware vendor Advanced Micro Devices in 2014 as their road-map form February 2, 2012 shows. Additionally we present performance of GPU against multi-thread and single-threaded CPU case.
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