This paper presents a decision support tool for the effectiveness of a Quality Management System (QMS) in a company. To develop this tool, a new approach PAHP based on the combination of the Pareto Optimality Concept ...
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When the body is intruded, there is a congenital immune process to find and reduce the damage as quickly as possible. This is an important recovery character for the biology immune system. A model that simulates the b...
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When the body is intruded, there is a congenital immune process to find and reduce the damage as quickly as possible. This is an important recovery character for the biology immune system. A model that simulates the biology's congenital immunity is introduced in the computer immune system. It has two basal agents, Damage Detector Agent and Congenital Response Agent. Damage Detector Agent finds intrusion and releases dangerous signal to excited Congenital Response Agent. And it uses a Dynamic Semi-Active Replication technology to ensure the system can work. All this work can improve the system's robustness that it can supply the basic services when it's intruded.
It is deficiency to use accuracy as a measurement to evaluate model classifying ability. This paper proposes a measurement method which uses the area under the ROC curve, or AUC value, to evaluate the performance of t...
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ISBN:
(纸本)9781424471591
It is deficiency to use accuracy as a measurement to evaluate model classifying ability. This paper proposes a measurement method which uses the area under the ROC curve, or AUC value, to evaluate the performance of the model. Furthermore, applying cross validation and grid-search methods, through designed algorithms, to build an optimization of support vector machines medical prediction model. The model was applied to diagnosis of predicting of coronary heart disease. The results show that the model has the characteristics of global optimization and easy to implement.
The use of microblogging applications (especially Twitter) is becoming increasingly commonplace in a variety of settings. Today, active conference participants can post messages on microblogging platforms to exchange ...
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Bayes' rule is universally applied in artificial intelligence and especially in Bayes reasoning, Bayes networks, in decision-making, in generating rules for probabilistic knowledge bases. However, its application ...
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Solving algorithmic problems and implementing them in code is a major theme in introductory computerscience courses. Problems related to string manipulation are common and of great importance in various domains. In t...
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Solving algorithmic problems and implementing them in code is a major theme in introductory computerscience courses. Problems related to string manipulation are common and of great importance in various domains. In the context of computerscience education, solving algorithmic problems of this type may be very challenging for novices, even for the more competent students. Analysis of novice students' solutions to a specific class of problems dealing with string manipulation revealed that a widespread intuitive and non-linear approach was used to solve these problems, which led to cumbersome and erroneous solutions. On the other hand, a straightforward linear approach that leads to shorter and more elegant solutions is uncommon. Uncovering students' common and unsatisfactory approaches in problem solving have significant implications on instruction.
Elevator traffic systems are the main vertical transportation facilities in high-rise buildings which play a vital role in modern life. A well-designed elevator traffic system should provide passengers with both suffi...
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Elevator traffic systems are the main vertical transportation facilities in high-rise buildings which play a vital role in modern life. A well-designed elevator traffic system should provide passengers with both sufficient quantity and satisfactory quality of service. Considering that the classical elevator traffic planning theory focuses, mainly, on the quantity of service, ignoring the quality of service, a simulation based verification method for elevator traffic planning is proposed, in which the object oriented discrete event driven technique, based on an improved multi-server batch service queuing discipline, is employed to describe the dynamic behaviors of both passengers and elevators to evaluate the service level of elevator traffic system. The initial configuring results by the classical calculation model are adjusted on simulation to meet both the expected passenger handling capacities and the expected service level. The proposed method perfects the classical elevator traffic planning theory which shows better results than the classical methods.
A stochastic multi-stage portfolio model for a hydropower producer operating in a competitive electricity market is proposed. The portfolio includes its own production and a set of forward contracts for future deliver...
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A stochastic multi-stage portfolio model for a hydropower producer operating in a competitive electricity market is proposed. The portfolio includes its own production and a set of forward contracts for future delivery or purchase of electricity to hedge against risks. The goal of using such a model is to maximise the profit of the producer and reduce the economic risks connected to the fact that energy spot and forward prices are highly volatile. Our findings show that the use of forward contracts for hedging purposes results in a risk reduction and in a more efficient use of the hydroplant, taking advantage of the possibility of pumping water and ending up with a higher final value of the reservoi.
Nationally only 40% of the incoming freshmen STEM majors are successful in earning a STEM degree [1]. The University of Central Florida (UCF) EXCEL program is an NSF funded STEP (science, Technology, Engineering and M...
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We present a powerful procedure for determining both the dominant dynamics of the input-output transfer and the corresponding most influential circuit parameters of a linear(ized) circuit. The procedure consists of se...
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We present a powerful procedure for determining both the dominant dynamics of the input-output transfer and the corresponding most influential circuit parameters of a linear(ized) circuit. The procedure consists of several steps in which a specific (sub)problem is solved and its solution is used in the next step. We combine regression tools techniques and trade off analysis with recent techniques from Model Order Reduction.
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