In order to better solve the problems of low efficiency and slow service startup in power grid topology analysis, this paper uses graph database technology to efficiently solve the data modeling, storage, and processi...
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ISBN:
(纸本)9781538660058
In order to better solve the problems of low efficiency and slow service startup in power grid topology analysis, this paper uses graph database technology to efficiently solve the data modeling, storage, and processing problems in power grid asset data management represented by power grid topology analysis systems. the power grid topology analysis application framework based on graph database is constructed, and the key technologies and difficulties of power grid topology analysis based on graph database are analyzed in detail from the aspects of graph database management for power grid topology management and power grid topology analysis based on a graph database in order to provide theoretical and technical support for the application of graph database technology in power grid topology analysis.
data trading has become a promising way to bridge numerous data islands and benefit a wide range of data driven applications. However, due to the high risk of data privacy, the easy-to-copy feature of data, and potent...
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ISBN:
(纸本)9781728140247
data trading has become a promising way to bridge numerous data islands and benefit a wide range of data driven applications. However, due to the high risk of data privacy, the easy-to-copy feature of data, and potential malicious behaviors of users, there still lacks data trading solutions to provide privacy protection, copyright/ownership protection and auditability of user behaviors. In this work, we propose a blockchain and smart contract based framework to keep tamper-proof records of data trading transactions, which also preserves users' identity, behavior and data privacy. data fingerprint is introduced to track data and protect data ownership. A set of protocols are also designed to prevent dishonest behaviors and ensure the security of data trading.
A comprehensive forecasting method of the short-term photovoltaic output is presented in this paper to forecast the short-term output of two types: the days with weak weather fluctuates (sunny days) and the days with ...
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ISBN:
(纸本)9781538660058
A comprehensive forecasting method of the short-term photovoltaic output is presented in this paper to forecast the short-term output of two types: the days with weak weather fluctuates (sunny days) and the days with strong weather fluctuations. Firstly, the support vector regression (SVR) is used to forecast and track the reconstructed irradiated intensity and temperature, the forecasted data of the radiation intensity and temperature are used as the input of the forecasting model. At last, the high nonlinear fitting of the photovoltaic output is realized by the SVR model also. through the analysis of the actual data of photovoltaic power plants, the rationality and effectiveness of this method are verified in this paper. Compared withthe traditional forecasting method using SVR only, the useful information contained in the historical data of photovoltaic output can be further explored and the accuracy of the PV output forecasting is also improved.
In this paper, we discuss the design and development of EEG Workbench: a prototyping framework for building electroencephalography (EEG) data analytics framework for the Android platform EEG data describe the activity...
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ISBN:
(纸本)9781728100593
In this paper, we discuss the design and development of EEG Workbench: a prototyping framework for building electroencephalography (EEG) data analytics framework for the Android platform EEG data describe the activity of neuron populations in the brain and are acquired via electrodes placed on specific positions in the skull EEG signals have been shown to be sufficiently different between individuals and therefore suitable for use in the authentication process. the relatively recent introduction of consumer-grade EEG acquisition devices has made the utilization of EEG research more accessible to ubiquitous computing devices such as smartphones;however, the software developed in EEG research lacks specific implementations for Android. EEG Workbench aims to provide developers with a tool to build electroencephalography (EEG) data analytics framework for the Android platform.
In this paper we present a novel Hybrid-Asynchronous Low Powered Multicore Architecture which can be adopted for improved battery life in future mobile computing devices. Most modern mobile computing devices today are...
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ISBN:
(数字)9781665484220
ISBN:
(纸本)9781665484220
In this paper we present a novel Hybrid-Asynchronous Low Powered Multicore Architecture which can be adopted for improved battery life in future mobile computing devices. Most modern mobile computing devices today are powered by traditional multicore microprocessors which consume most of the energy and battery life in mobile devices. At the heart of these multicore microprocessors lies the traditional multicore architecture which is prone to problems such as dark silicon. With a novel approach this paper presents Hybrid-Asynchronous Low Powered Multicore Architecture which utilizes Hybrid-Asynchronous cores which are energy efficient and consume less energy in battery powered mobile computing devices. A first step towards reliable battery life in mobile computing devices.
It is difficult to accurate identify and ascertain college students' grants. Open 'poorer than poor' funding mode lacks humanistic care. How to subsidize has always been a difficult problem in the educatio...
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Outdoor location is an important concern for mobile carriers to optimize wireless telecom network and coverage. When UPS information is not fully available, techniques such as fingerprinting can be developed to retrie...
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ISBN:
(纸本)9781538660058
Outdoor location is an important concern for mobile carriers to optimize wireless telecom network and coverage. When UPS information is not fully available, techniques such as fingerprinting can be developed to retrieve positioning. In this article, a novel fingerprint algorithm based on WKNN is proposed. this algorithm introduces additional weights computed with random forests and based on importance of each feature collected via measurement report. It also makes adaptive selection of reference points by discarding untrustworthy ones in order to refine precision of each user equipment positioning prediction. the whole methodology is implemented with Apache Spark framework and tested on real data flow from a major Chinese telecom carrier. Results show significant improvement of the methodology compared to both TA+AOA and classic WKNN fingerprinting methods.
In this time and age, companies are facing difficult times to sustain their competitive advantages. the emergence of disruptive technologies, the bloody competition between rivals, the abrupt change of customer behavi...
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ISBN:
(纸本)9781728161754
In this time and age, companies are facing difficult times to sustain their competitive advantages. the emergence of disruptive technologies, the bloody competition between rivals, the abrupt change of customer behaviors and the shortage of natural resources, all of these are drivers that push companies to think out of the box and to change the way business is done. Digital capabilities, and especially bigdata, comes as a new tool to use in order to continue creating and capturing value in a sustainable manner. this paper is a try to broaden the literature about this subject. A qualitative analysis was conducted inside three big size Moroccan companies in order to assess the impact of using bigdata on these firm's economic performances, social footprints and environmental negative externalities. the finding showed that embracing this technology has helped these companies for their quest to reach sustainability.
Text extraction is an important part of natural language processing (NLP) tasks. Most NLP tasks like text classification, machine translation, text-to-speech, text-based language identification, text summarization, an...
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ISBN:
(数字)9781665484220
ISBN:
(纸本)9781665484220
Text extraction is an important part of natural language processing (NLP) tasks. Most NLP tasks like text classification, machine translation, text-to-speech, text-based language identification, text summarization, and named-entity recognition involve the use of textual data. Such data is limited for low-resourced languages making it difficult to experiment advanced NLP techniques on these languages. this paper presents a Python-based toolkit for text analysis and text extraction from different types of images, documents, and audio files. the toolkit is built as a library that has functions that can be imported and utilized for text extraction.
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