Since accurate migrations of data fragments in distributed database systems, known dynamic fragment allocation, play an important role in amendment of distributed database performance, several algorithms each of which...
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Since accurate migrations of data fragments in distributed database systems, known dynamic fragment allocation, play an important role in amendment of distributed database performance, several algorithms each of which shows different performance in various conditions, have been proposed to improve dynamic fragment allocation in distributed database systems. In this paper, we are going to propose a novel algorithm which is able to detect oscillation conditions and provides a solution to prevent redundant fragment migration. Proposed algorithm, an improved version of the previous near neighborhood allocation (NNA) algorithm, uses a fuzzy inference engine to detect oscillations in fragment request and ignore fragment migrations under these conditions. Our results indicate that, fuzzy based clearly improved the performance of distributed database systems in which oscillation conditions are more probable. This algorithm, providing data clustering, is very suitable for DDBS in the networks, with heavy loads, and frequent requests for data fragments coming from different sites.
Experimental data reveal that attenuation is an important phenomenon in medical ultrasound. The phenomenon is of particular importance for applications based on nonlinear propagation, as the higher frequency component...
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Providing integrity of execution is considered as the most challenging problem in Mobile Agent System (MAs). Mobile agent watermarking (MAW) is a technique that attempts to provide integrity of execution to a mobile a...
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ISBN:
(纸本)9781605586427
Providing integrity of execution is considered as the most challenging problem in Mobile Agent System (MAs). Mobile agent watermarking (MAW) is a technique that attempts to provide integrity of execution to a mobile agent. We discuss the attacks against MAW technique and how the security properties for MAs data integrity are fulfilled. We try to model the behavior of a malicious host by launching a series of passive attacks against mobile agent and then see to what extent the security properties for mobile agent can be achieved. The experimental results suggest that MAW framework can be used to protect the computations results of mobile agents Copyright 2009 ACM.
The topic of malware propagation in mobile wireless networks is gaining momentum among the research community, as actual vulnerabilities are revealed through recent outbreaks of worms. We introduce a defense strategy ...
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The topic of malware propagation in mobile wireless networks is gaining momentum among the research community, as actual vulnerabilities are revealed through recent outbreaks of worms. We introduce a defense strategy that quarantines the malware by reducing the communication range. This counter-measure faces us to a trade-off: reducing the communication range suppresses the spread of the malware, however, it also negatively affects the performance of the network as the end-to-end communication delay increases. We model the propagation of the malware as a deterministic epidemic. Using an optimal control framework, we select the optimal communication range that captures the above trade-off by minimizing a global cost function. Using Pontryagin's Maximum Principle, we derive structural characteristics of the optimal communication range as a function of time for two different cost functions.
Since robotics holds a special fascination among all the technological fields - due to its cross-disciplinary approach as well as its popularity through movies and literature - this field is attracting even the intere...
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Since robotics holds a special fascination among all the technological fields - due to its cross-disciplinary approach as well as its popularity through movies and literature - this field is attracting even the interest of pupils and students who are normally more reserved and cautious towards technological areas. In particular, practical experiences have shown that out of all the different technological areas robotics has a very high motivation impact on women. Thus, robotics can also be utilized as an instrument to bridge the gender gap in technological areas and fields of natural sciences. However, so far the majority of projects and initiatives focus on the instruction of the pupils and students themselves which naturally leads to restrictions concerning the scope of application. In order to enhance the impact factor, the integration of "multipliers", in particular the "educators" in elementary schools, middle schools und high schools - and even in the kindergarten - is an important task. Within this paper, we describe a concept for teaching teachers how to implement robotics curriculum into today's classrooms which is currently under development at the University of Stuttgart and the Technische Universität Berlin.
Bioprocesses which are involved in producing different pharmaceutical products may conveniently be classified according to the mode chosen for the process: cither batch, fed-batch or continuous. From the control engin...
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Bioprocesses which are involved in producing different pharmaceutical products may conveniently be classified according to the mode chosen for the process: cither batch, fed-batch or continuous. From the control engineer's viewpoint they are fed-batch processes, which present the greatest challenge to get a pure product with a high concentration. Complicated dynamics, nonline-arity and non-stationarity make controlling them a very delicate task. pH control of bioreactors has been an interesting problem from both implementation and controller design points of view. This is particularly true if the complex microbial interactions yield significant nonlinear behavior. When this occurs, conventional control strategies may not succeed and more advanced strategies need to be suggested. This paper discusses model predictive control (MPC) based on a detailed unstructured model for penicillin production in a fed-batch fermentor. The approach used here is to use quadratic cost function for pH regulation, while taking into account control signal fluctuations in the optimization block. The result of applying the obtained controller and also its sensitivity to disturbance have been displayed and compared with the results of an auto-tuned PID controller used in previous works. The merit of this method is its low computational cost of solving the optimization problem, while leading to a closed form controller as well.
Payload Directed Flight (PDF) calls for agile and precise tracking control of an air vehicle that poses significant challenges to current flight control techniques. To support the goals of NASA's Payload Directed ...
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We demonstrate optofluidic packaging of silicon microchips using image processing-based optofluidic maskless lithography (IP-OFML). Optofluidic maskless lithography (OFML) is a dynamic photopolymerization technique fo...
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We demonstrate optofluidic packaging of silicon microchips using image processing-based optofluidic maskless lithography (IP-OFML). Optofluidic maskless lithography (OFML) is a dynamic photopolymerization technique for free-floating microstructures within a fluidic channel using a MEMS spatial light modulator. OFML via computer vision-aided image processing enables individual polymer packaging of each microdevice for protection. Furthermore, our technology is applicable to phosphor coating of light emitting diodes (LEDs).
We comparatively analyze the erase speed and long-term reliability between the conventional SONOS flash memory and the bandgap engineered SONOS flash memory devices. As a result, the bandgap engineered SONOS device is...
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We comparatively analyze the erase speed and long-term reliability between the conventional SONOS flash memory and the bandgap engineered SONOS flash memory devices. As a result, the bandgap engineered SONOS device is indeed proven to provide faster erase speed and better long-term data retention characteristics than the conventional SONOS device.
One of the important requirements for operational planning of electrical utilities is the prediction of hourly load up to several days, known as short term load forecasting (STLF). Considering the effect of its accura...
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One of the important requirements for operational planning of electrical utilities is the prediction of hourly load up to several days, known as short term load forecasting (STLF). Considering the effect of its accuracy on system security and also economical aspects, there is an on-going attention toward putting new approaches to the task. Recently, neuro fuzzy modeling has played a successful role in various applications over nonlinear time series prediction. This paper presents a neuro-fuzzy model for the application of short-term load forecasting. This model is identified through locally liner model tree (LoLiMoT) learning algorithm. The model is compared to a multilayer perceptron and Kohonen classification and intervention analysis. The models are trained and assessed on load data extracted from EUNITE network competition.
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