the paper describes the basic principles of complex threats modeling, and the task of complex threats detection is formalized. the proposed modeling principles are based on the idea of identifying the links between el...
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Human operators are an important aspect of any computing system or infrastructure;however, human errors in configuring systems pose reliability and security issues, which are increasingly serious as such systems grow ...
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the goal of this research work was to analyze the different variables that describe the behavior and evolution of the use and diffusion in the different strata of the Ecuadorian population of Information and Communica...
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In this paper it is investigated a structure of the SMART tourism recommender system. Basic approaches for generating recommendations in an automated mode for selecting the best tourist routes in the SMART City Touris...
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ISBN:
(数字)9781728174433
ISBN:
(纸本)9781728174440
In this paper it is investigated a structure of the SMART tourism recommender system. Basic approaches for generating recommendations in an automated mode for selecting the best tourist routes in the SMART City Tourism network has been determined. this approaches are based on the analysis of the accumulated information about the most popular tourist destinations. It is proposed a mathematical model which provides, on the basis of knowledge about tourist sites, the possibility of construction optimal sequence of tourist routes. the proposed algorithm are based on the technology of online analytical processing of OLAP data selected from DW and organized in the form of OLAP Cubes .
this paper exploit machine learning (ML) technique to find and diagnose chronic kidney disease (CKD) at mild damaged stage. Kidney disease are syndromes that cause the functions and Glomerular filtration rate (GFR) of...
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ISBN:
(数字)9781728190501
ISBN:
(纸本)9781728190518
this paper exploit machine learning (ML) technique to find and diagnose chronic kidney disease (CKD) at mild damaged stage. Kidney disease are syndromes that cause the functions and Glomerular filtration rate (GFR) of the kidney. Nephrologist caution that the ratio of patients affected by CKD are significantly increasing. More precise Data mining and ML methods are required to predict and diagnose CKD successfully. In this paper we apply different ML classification procedures on a data set obtained from UCI repository which comprise of 400 instances, 24 features and binary classification labels. the 7-fold and 10-fold cross-validation procedures are applied on dataset to evaluate the model. the most familiar ML classification algorithms are included in this paper are Random Forest (RF), Discriminant analysis (DA), Naive Bayes (NB), Support Vector Machine (SVM), and K-Nearest Neighbor (K-NN). All the experiments are performed in MATLAB tools. the statistical results of all algorithms proved that RF performed better then DA, NB, SVM, and K-NN with accuracies of 99.75%, 98.25%, 98%, 97%, and 92% respectively.
Small modular reactor is seen as one of the most popular research directions in nuclear field, and lead-bismuth cooled fast reactors are widely chosen in the design of small modular reactors due to its excellent neutr...
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ISBN:
(数字)9781665404945
ISBN:
(纸本)9781665404952
Small modular reactor is seen as one of the most popular research directions in nuclear field, and lead-bismuth cooled fast reactors are widely chosen in the design of small modular reactors due to its excellent neutron properties and thermal conductivity. A 20MW lead-bismuth cooled fast reactor was designed in this paper and both fluent-based CFD analysis and cobra-based subchannel analysis were applied to its safety verification and design optimization. this paper not only presents a verified design of small modular Lead-bismuth cooled fast reactor withthorough thermal-hydraulics analysis, but also presents a platform to design heavy metal cooled fast reactor.
the influence of sleep quality on humans health is considered as one of the most important aspects for preventative care. During the last decade, several wearable sensors have been developed for monitoring bio-signals...
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ISBN:
(数字)9781728158853
ISBN:
(纸本)9781728158860
the influence of sleep quality on humans health is considered as one of the most important aspects for preventative care. During the last decade, several wearable sensors have been developed for monitoring bio-signals. In this work, we present the applicability of an automatic software tool, called Spindle Detection and Feature Extraction (SpiDeFex), developed for the analysis of multi-channel signals of professional EEG systems, in the consumer area. Using commercial devices based on lightweight, rechargeable pods that can sense, collect and transmit an EEG signal in real-time, we can extract information for sleep quality for commercial applications. this work presents the architecture and functionality of SpiDeFex, and based on experimental results, we demonstrate how it can be used for sleep quality monitoring and analysis in a consumer wearable device.
Withthe continuous development of power monitoring technology and the refinement of user data services and power enterprise security services, new requirements have been placed on the business management and data man...
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ISBN:
(数字)9781665404945
ISBN:
(纸本)9781665404952
Withthe continuous development of power monitoring technology and the refinement of user data services and power enterprise security services, new requirements have been placed on the business management and data management of power enterprises. In order to reduce the incidence of smart grid failures and provide better services to users, a smart grid business monitoring and data analysis service platform is necessary. this article analyzes in detail the background, goals, and ideas of current business monitoring based on business logic consistency and data analysis based on data fusion, and introduces the implementation scheme of a smart grid service platform, including architecture design and construction content. the platform mentioned in this article can be extended and applied to various power businesses in the power industry, providing a theoretical basis and implementation method for realizing smart grid security monitoring and data analysis from the business level.
Nowadays enterprises face the problem of achieving their strategic goals. Clear and simple vision is a prerequisite for defining proper and framed strategic goals. Strategies that enterprise has to implement through t...
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ISBN:
(数字)9781728154565
ISBN:
(纸本)9781728154572
Nowadays enterprises face the problem of achieving their strategic goals. Clear and simple vision is a prerequisite for defining proper and framed strategic goals. Strategies that enterprise has to implement through the set of activities should be defined and analyzed. One of the proven ways of defining the strategies is using the SWOT analysis. this analysis, used in a standard way, does not give sufficient guarantee for success in the strategic planning process. therefore, this paper gives a meta-model of extended SWOT analysis, as well as a workflow model of its implementation. the meta-model is developed as entity relationship attribute (ERA) diagram, while the workflow model is developed using BPMN notation. these two models, combined together, give us a tool for keeping important data generated in the strategic planning process in a form of unique repository. this repository is a basis for development of a CASE tool that can help managers in managing the enterprise towards achieving its strategic goals.
the proceedings contain 37 papers. the topics discussed include: breaking the curse of visual data exploration: improving analyses by building bridges between data world and real world;visual analytics of multidimensi...
ISBN:
(纸本)9789897583544
the proceedings contain 37 papers. the topics discussed include: breaking the curse of visual data exploration: improving analyses by building bridges between data world and real world;visual analytics of multidimensional projections for constructing classifier decision boundary maps;equivalence of turn-regularity and complete extensions;compensation of simultaneous orientation contrast in superimposed textures;visual growing neural gas for exploratory data analysis;parallel coordinates-based visual analytics for materials property;synthesizing light field volumetric visualizations in real-time using a compressed volume representation;lightweight coordination of multiple independent visual analytics tools;and coordinated image- and feature-space visualization for interactive magnetic resonance spectroscopy imaging data analysis.
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