Human spine structure is very complicated with spatial positions intertwined or crisscrossed. It is difficult to use the traditional segmentation method to segment every individual vertebra in medical image. There is ...
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Pair-wise key establishment with authentication is basic and necessary to configure secure sensor networks. In addition, nodes in a sensor network may be lost because of the power exhaustion problem or malicious attac...
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This paper analyzes, by case study, the similarities and differences between two existing componentization techniques of a project in Web Dynpro ABAP: the faceless componentization and assistance class componentizatio...
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This paper analyzes, by case study, the similarities and differences between two existing componentization techniques of a project in Web Dynpro ABAP: the faceless componentization and assistance class componentization, made possible due to the MVC architecture (Model-View-Controller), which are the basis of the Web Dynpro ABAP framework. We highlighted the similarities and differences, advantages and disadvantages.
Propose a Resource Isolation Policy(RIP) which is applied to open real-time systems with shared resources. It can combine with static scheduling strategy such as Stack Resource Policy(SRP) and dynamic scheduling strat...
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Aiming at the problem that the traditional control methods can't satisfactorily complete the trajectory tracking task, so a multi point preview control method based on automobile driving is designed for the motion...
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The mathematical analysis of physiological signals is meant for extracting the signal features relevant for functional state assessment. The stochastic fuzzy modeling and analysis techniques have much to offer in this...
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The paper presents a collision mitigation method in which the aim is to stabilize the motion of the vehicle after a light impact has occurred. A yaw rate servo control based on the bicycle model is applied for control...
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ISBN:
(纸本)9789633131022
The paper presents a collision mitigation method in which the aim is to stabilize the motion of the vehicle after a light impact has occurred. A yaw rate servo control based on the bicycle model is applied for control purposes. The collision is assumed to have been detected by a passive safety system, e.g., airbag sensors. The control system is activated by the monitoring signal. After the collision has occurred the motion of the vehicle and the operation of the control system are illustrated through CarSim simulation examples. Two control solutions are analyzed: in the first case active steering is used while in the second case steering is combined with differential braking. With the knowledge of certain vehicle parameters and the impact force and direction, post impact vehicle states (yaw rate, velocities, roll rate) can be analyzed. A sensitivity analysis is carried out to determine the validity range of the vehicle model in the presence of uncertainties and different kinds of impact forces. Several software packages are used for the design and analysis of the controlled system. The control design is performed by using the Matlab/Simulink software and the verification of the designed controller is performed by using the CarSim software.
One of the most widespread techniques to evaluate various aspects of a manufacturing system is discrete-event simulation (DES). However, building a simulation model of a manufacturing system is a difficult task and ne...
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One of the most widespread techniques to evaluate various aspects of a manufacturing system is discrete-event simulation (DES). However, building a simulation model of a manufacturing system is a difficult task and needs great resource expenditures. Automated data collection and model buildup can drastically reduce the time of the design phase as well as support model reusability. Since most of the manufacturing systems are controlled by low level controllers (e.g., PLCs, CNCs) they store structure and control logic of the system to be modeled by a DES system. The paper introduces an ongoing research of PLC program processing method for automatic simulation model generation of a conveyor system of a leading automotive factory. Results of the validation process and simulation experiments are also described through a case study.
Detection and traceback of distributed denial of service (DDoS/DoS) attacks have become a challenge for network security. In this paper, we propose a lightweight cooperative detection framework (CCBFF) based on counti...
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The mathematical analysis of physiological signals is meant for extracting the signal features relevant for functional state assessment. The stochastic fuzzy modeling and analysis techniques have much to offer in this...
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ISBN:
(纸本)9781467315906
The mathematical analysis of physiological signals is meant for extracting the signal features relevant for functional state assessment. The stochastic fuzzy modeling and analysis techniques have much to offer in this area. The approach takes simultaneously the advantages of Bayesian analysis theory and fuzzy theory to formulate the patients' state prediction problem mathematically in a sensible way. It is possible to design new signal feature extraction methods with high diagnostic efficiency and thus is possible to build an expert system for making accurate predictions regarding the physiological state of individuals.
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