The numerical code has been developed for simulating the time evolution of the shielding current density in the high-temperature superconducting (HTS) thin film. When the governing equation of the shielding current de...
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Based on the formulation of the problem to be discussed by the writer is to know: the influence of 0.4 mm spark gap variation, and standard spark plug type, to CO and HC, the influence of 0.5 mm spark plug gap variati...
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The public blockchain was originally conceived to process monetary transactions in a peer-to-peer network while preventing double-spending. It has since been extended to numerous other applications including execution...
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The public blockchain was originally conceived to process monetary transactions in a peer-to-peer network while preventing double-spending. It has since been extended to numerous other applications including execution of programs that exist on the blockchain called "smart contracts." Smart contracts have a major limitation, namely they only operate on data that is on the blockchain. Trusted entities called oracles attest to external data in order to bring it onto the blockchain but they do so without the robust security guarantees that blockchains generally provide. This has the potential to turn oracles into centralized points-of-failure. To address this concern, this paper introduces Astraea, a decentralized oracle based on a voting game that decides the truth or falsity of propositions. Players fall into two roles: voters and certifiers. Voters play a low-risk/low-reward role that is resistant to adversarial manipulation while certifiers play a high-risk/high-reward role so they are required to play with a high degree of accuracy. This paper also presents a formal analysis of the parameters behind the system to measure the probability of an adversary with bounded funds being able to successfully manipulate the oracle's decision, that shows that the same parameters can be set to make manipulation arbitrarily difficult-a desirable feature for the system. Further, this analysis demonstrates that under those conditions a Nash equilibrium exists where all rational players are forced to behave honestly.
Autoencoders are popular among neural-network-based matrix completion models due to their ability to retrieve potential latent factors from the partially observed matrices. Nevertheless, when training data is scarce t...
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Cardiovascular diseases, also known as CVDs, currently rank as the primary incidence of mortality. The present approach for identifying illnesses involves the analysis of the Electrocardiogram (ECG), an electronic dia...
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This paper conducts a comprehensive analysis of electrical generator performance using Finite Element Analysis (FEA), with a specific emphasis on the role of coil numbers in influencing generator efficiency and functi...
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The use of surveillance video cameras in public transport is increasingly regarded as a solution to control vandalism and emergency situations. The widespread use of cameras brings in the problem of managing high volu...
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The causes of maternal and infant mortality are high, especially in developing countries other than bleeding, namely preeclampsia because mild preeclampsia increases more sharply than severe preeclampsia. The incidenc...
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(纸本)9781538675496
The causes of maternal and infant mortality are high, especially in developing countries other than bleeding, namely preeclampsia because mild preeclampsia increases more sharply than severe preeclampsia. The incidence of preeclampsia varies in each country even in every region. The purpose of this study was to compare two methods in data mining techniques, namely the Logistic Regression method and the Naive Bayes method, to predict the risk level of Preeclampsia on the seventeen existing attributes data. The data obtained in this study were 239 preeclampsia patients who were obtained from Surabaya General Hajj Hospital, by collecting data from 2016 to 2017. This study used performance measurement of the two methods using score with the ROC curve (Receiver Operating Characteristics). In the experimental results, we found that in the term of accuracy and ROC curve, Logistic Regression has a slightly better performance than the Naive Bayes method.
This paper presents the development of a secure data platform designed to enhance operational efficiency and to facilitate cross-company collaboration within the manufacturing supply chain. The platform is designed to...
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