This article contains information about computer network and system remote management technologies such as SNMP, DMI and WBM, including an architectural overview and mutual comparison. There is also a look in a practi...
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This article contains information about computer network and system remote management technologies such as SNMP, DMI and WBM, including an architectural overview and mutual comparison. There is also a look in a practical usage of these technologies as well as in management problems. In the main, it describes the author's provided management mechanism based on SNMP modifications. Finally, several pieces of advice are given about what has to be taken into account when implementing computer network and system remote management systems.
In this paper a new robust steepest-descent algorithm for discrete-time iterative learning control is introduced for plant models with multiplicative uncertainty. A theoretical analysis of the algorithm shows that if ...
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In this paper a new robust steepest-descent algorithm for discrete-time iterative learning control is introduced for plant models with multiplicative uncertainty. A theoretical analysis of the algorithm shows that if a tuning parameter in the algorithm is selected to be sufficiently large, the algorithm will result in monotonic convergence if the plant uncertainty satisfies a positivity condition. This is a major improvement when compared to the standard steepest-descent algorithm, which lacks a mechanism for finding a balance between convergence speed and robustness. Experimental work on a gantry robot is performed to demonstrate that the algorithm results in near perfect tracking in the limit.
Models of plant behavior are required to use formal methods of manufacturing execution systems (MES) application development. We present a manufacturing oriented modular approach for designing such models. The approac...
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Models of plant behavior are required to use formal methods of manufacturing execution systems (MES) application development. We present a manufacturing oriented modular approach for designing such models. The approach is a first step towards a predictive simulation system for operator support in control of complex, hybrid manufacturing systems in the plastics industry.
This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the...
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This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the system non-linearity is incorporated into model parameters by using non-linear non-parametric models (NNMs). Kullback discrimination Information (KDI) is introduced as fault detection index to evaluate the distortion in identified model, which is caused by a fault. The effectiveness of the method is verified through simulation studies on the ship propulsion system.
Differential linear repetitive processes are a class of continuous-discrete 2D linear systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such syste...
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Although the need for visible watermarking for copyright notification is apparent, visible watermarking has received much less attention than invisible watermarking. In this paper, we present a general framework for p...
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Although the need for visible watermarking for copyright notification is apparent, visible watermarking has received much less attention than invisible watermarking. In this paper, we present a general framework for performing visible watermarking based on some concepts of image fusion. Especially, we introduce a new visible watermarking algorithm in which the watermarked coefficients are computed using global as well as local characteristics of both the host and watermark images.
作者：
宋红石峰Department of Computer Science and Engineering
Beijing Institute of Technology Beijing 100081 China Department of Computer Science and Engineering
Beijing Institute of Technology Beijing 100081 Chinaecurity access control systems and automatic video surveillance systems are becoming increasingly important recently and detecting human faces is one of the indispensable processes. In this paper an approach is presented to detect faces in video surveillance. Firstly both the skin-color and motion components are applied to extract skin-like regions. The skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference algorithm. Secondly the image is clustered into separated face candidates by using the region growing technique. Finally the face candidates are further verified by the rule-based algorithm. Experiment results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.
Security access control systems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable *** this paper,an approach is presented to de...
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Security access control systems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable *** this paper,an approach is presented to detect faces in video ***,both the skin-color and motion components are applied to extract skin-like *** skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference ***,the image is clustered into separated face candidates by using the region growing ***,the face candidates are further verified by the rule-based *** results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.
We now apply the model predictive control (MPC) of speed limits that we have presented in previous publications to a calibrated METANET model of a 19 km stretch of the real-world freeway A1 in The Netherlands. This fr...
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