In this study, we introduces a classification approach using Multi-Layer Perceptron (MLP)with Back-Propagation learning algorithm and a feature selection algorithm along with biomedical test values to diagnose heart d...
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In this study, we introduces a classification approach using Multi-Layer Perceptron (MLP)with Back-Propagation learning algorithm and a feature selection algorithm along with biomedical test values to diagnose heart disease. Clinical diagnosis is done mostly by doctor's expertise and experience. But still cases are reported of wrong diagnosis and treatment. Patients are asked to take number of tests for diagnosis. In many cases, not all the tests contribute towards effective diagnosis of a disease. Our work is to classify the presence of heart disease with reduced number of attributes. Original, 13 attributes are involved in classify the heart disease. We use Information Gain to determine the attributes which reduces the number of attributes which is need to be taken from patients. The Artificial neural networks is used to classify the diagnosis of patients. Thirteen attributes are reduced to 8 attributes. The accuracy differs between 13 features and 8 features in training data set is 1.1% and in the validation data set is 0.82%.
The ground states of some many-body quantum systems can serve as resource states for the one-way quantum computing model, achieving the full power of quantum computation. Such resource states are found, for example, i...
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The ground states of some many-body quantum systems can serve as resource states for the one-way quantum computing model, achieving the full power of quantum computation. Such resource states are found, for example, in spin-52 and spin-32 systems. It is, of course, desirable to have a natural resource state in a spin-12, that is, qubit system. Here, we give a negative answer to this question for frustration-free systems with two-body interactions. In fact, it is shown to be impossible for any genuinely entangled qubit state to be a nondegenerate ground state of any two-body frustration-free Hamiltonian. What is more, we also prove that every spin-12 frustration-free Hamiltonian with two-body interaction always has a ground state that is a product of single- or two-qubit states. In other words, there cannot be any interesting entanglement features in the ground state of such a qubit Hamiltonian.
The aim of this paper is to evaluate empirically the relationship between a new metric ( Quality Assurance Indicator —Qi) and testability of classes in object-oriented systems. The Qi metric captures the distribution...
The aim of this paper is to evaluate empirically the relationship between a new metric ( Quality Assurance Indicator —Qi) and testability of classes in object-oriented systems. The Qi metric captures the distribution of the control flow in a system. We addressed testability from the perspective of unit testing effort. We collected data from five open source Java softwaresystems for which JUnit test cases exist. To capture the testing effort of classes, we used different metrics to quantify the corresponding JUnit test cases. Classes were classified, according to the required testing effort, in two categories: high and low. In order to evaluate the capability of the Qi metric to predict testability of classes, we used the univariate logistic regression method. The performance of the predicted model was evaluated using Receiver Operating Characteristic (ROC) analysis. The results indicate that the univariate model based on the Qi metric is able to accurately predict the unit testing effort of classes.
With the advent of cloud computing, it becomes desirable to utilize cloud computing to efficiently process complex operations on large graphs without compromising their sensitive information. This paper studies shorte...
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Situation Awareness is the perception of the elements in the environment within a volume of time and space, the comprehension of their meaning and the projection of their status in the near future. It is a crucial fac...
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作者:
Lager, Ioan E.De Hoop, Adrianus T.Delft University of Technology
Faculty of Electrical Engineering Mathematics and Computer Science Department of Microwave Technology and Systems for Radar Mekelweg 4 2628 CD Delft Netherlands Delft University of Technology
Faculty of Electrical Engineering Mathematics and Computer Science Laboratory of Electromagnetic Research Mekelweg 4 2628 CD Delft Netherlands
The time-domain receiving properties of a multi-mode cylindrical waveguide antenna are investigated. The configurational properties of the antenna are characterized by the time-domain scattering matrix that interrelat...
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The one strong point of XML is that it allows document owners to create their own structure and tag names. It might be that some XML documents contain the same information but use a different structure and/or tag name...
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The one strong point of XML is that it allows document owners to create their own structure and tag names. It might be that some XML documents contain the same information but use a different structure and/or tag names that have the same meaning but in different words. It will be difficult not only to search all relevant information in one query but also to use exchanged information right away. If the sender and receiver use different formats of XML, then either the sender or receiver has to reformat his XML. The best way to make searching and/or exchanging information easier is to ensure that all XML documents are in the same format. XML Tag Recommendation (XTR) is introduced to support this idea. XTR is based on case-based reasoning framework. It collects the most used tag name as a solution for future use. When you insert a new problem to XTR, it finds the most similar case and recommends the solution from that case to the XML document owner. The XML document owner can change his document format into the recommended solution format. Thus, the XML documents are in the same format. This makes searching and/or exchanging information more powerful.
Research has shown that most learning in the workplace takes place outside of formal training and, given the swiftly changing nature of the field, computerscience graduates more than most workers, need to be able to ...
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As interest in adopting Cloud computing for various applications is rapidly growing, it is important to understand how these applications and systems will perform when deployed on Clouds. Due to the scale and complexi...
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As interest in adopting Cloud computing for various applications is rapidly growing, it is important to understand how these applications and systems will perform when deployed on Clouds. Due to the scale and complexity of shared resources, it is often hard to analyze the performance of new scheduling and provisioning algorithms on actual Cloud test beds. Therefore, simulation tools are becoming more and more important in the evaluation of the Cloud computing model. Simulation tools allow researchers to rapidly evaluate the efficiency, performance and reliability of their new algorithms on a large heterogeneous Cloud infrastructure. However, current solutions lack either advanced application models such as message passing applications and workflows or scalable network model of data center. To fill this gap, we have extended a popular Cloud simulator (CloudSim) with a scalable network and generalized application model, which allows more accurate evaluation of scheduling and resource provisioning policies to optimize the performance of a Cloud infrastructure.
Cloud Federation is a recent paradigm that helps Infrastructure as a Service (IaaS) providers to overcome resource limitation during spikes in demand for Virtual Machines (VMs) by outsourcing requests to other federat...
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Cloud Federation is a recent paradigm that helps Infrastructure as a Service (IaaS) providers to overcome resource limitation during spikes in demand for Virtual Machines (VMs) by outsourcing requests to other federation members. IaaS providers also have the option of terminating spot VMs, i.e, cheaper VMs that can be canceled to free resources for more profitable VM requests. By both approaches, providers can expect to reject less profitable requests. For IaaS providers, pricing and profit are two important factors, in addition to maintaining a high Quality of Service (QoS) and utilization of their resources to remain in the business. For this, a clear understanding of the usage pattern, types of requests, and infrastructure costs are necessary while making decisions to terminate spot VMs, outsourcing or contributing to the federation. In this paper, we propose policies that help in the decision-making process to increase resources utilization and profit. Simulation results indicate that the proposed policies enhance the profit, utilization, and QoS (smaller number of rejected VM requests) in a Cloud federation environment.
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