Record Nr.

UNINA9910728930503321

Autore

Tian Yuan

Titolo

Big Data and Security : 4th International Conference, ICBDS 2022, Xiamen, China, December 8–12, 2022, Proceedings / / edited by Yuan Tian, Tinghuai Ma, Qingshan Jiang, Qi Liu, Muhammad Khurram Khan

Pubbl/distr/stampa


Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023

ISBN

9789819933006

9819933005

Edizione

[1st ed. 2023.]

Descrizione fisica

1 online resource (759 pages)

Collana

Communications in Computer and Information Science, , 1865-0937 ; ; 1796

Altri autori (Persone)

MaTinghuai

JiangQingshan

LiuQi

KhanMuhammad Khurram

Disciplina

005.8

Soggetti

Computer engineering

Computer networks

Data protection

Artificial intelligence

Computer systems

Computer Engineering and Networks

Data and Information Security

Artificial Intelligence

Computer Communication Networks

Computer System Implementation

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Big Data&New Method -- Data-driven energy efficiency evaluation and energy anomaly detection of multi-type enterprises based on en-ergy consumption big data mining -- Research on data-driven AGC instruction execution effect recognition method -- Research on day-ahead scheduling strategy of the power system includes wind power plants and photovoltaic power stations based on big data clustering and filling -- Day-ahead scenario generation method for renewable

energy based on historical data analysis -- A High-Frequency Stock Price Prediction Method based on Mode Decomposition and Deep Learning -- A Cross-Platform Instant Messaging User Association Method Based on Supervised Learning -- Research on Data Watermark Tracing System in Hadoop Environment -- Application of RFID tag in the Localization of Power Cable based on Big Data -- Research Hotspot and Evolution Trend Of Virtual Power Plant In China：an Empirical Analysis Based On BigData -- Influencing Factors Analysis and Prediction Model of Pavement Transverse Crack Based on Big Data -- Research on the evolution of new energy industry financing ecosystem under the background of big data -- A Survey of the State-of-the-Art and Possible Extensions of Recommender System Based on Big Data -- An Innovative AdaBoost Process Using Flexible Soft Labels on Imbalanced Big Data -- Artificial Intelligence&Machine Learning Security -- Feature Fusion based IPSO-LSSVM fault diagnosis of on-load tap -- Graphlet Based Measure to Assess Institutional Research Teams -- Logical Relationship Extraction of Multimodal South China Sea Big Data Using BERT and Knowledge Graph -- Research on Application of Knowledge Graph in War Archive Based on Big Data -- Semi-supervised learning enabled fault analysis method for power distribution network based on LSTM autoen-coder and attention mechanism -- Fault detection method for power distribution network based on ensemble learning -- Factors Influencing Chinese Users’ Willingness to Pay for O2O Knowledge Products Based on Information Adoption Model -- A Survey of Integrating Federated Learning with Smart Grids Application Prospect, Privacy Preserving and Challenges Analysis -- Application of the fusion access technology of carrier and 5G in power communication -- Muscle fatigue classification based on GA optimization of BP neural network -- Data Technology&Network Security -- Research on typical scenario generation based on distribution network data mining and improved policy clustering -- A data-driven and deep learning-based economic evaluation method for new power system distribution grid -- Study on random generation of virtual avatars based on Big data -- Ordering, pricing, and coordination of a closed-loop supply chain with risk preference -- An explainable optimization method for assembly process parameter -- A Correlational Strategy for the Prediction of High-Dimensional Stock Data by Neural Networks and Technical Indicators -- Research on Attribute-Based Privacy-Preserving Computing technologies -- Research on BIM modeling Technology from the Perspective of Power Big Data Security -- Security risk management of the Internet of Things based on 5G technology -- Multi slice SLA collaboration and optimization of power 5G big data security business -- Virtualized Network Functions Placement Scheme in Cloud Network Collaborative Operation Platform -- Grounded Theory-Driven Knowledge Production Features Mining: one Empirical Study Based on Big Data Technology -- Research on Digital Twin Technology of Main Equipment for Power Transmission and Transformation based on Big Data -- Efficient Spatiotemporal Big Data Indexing Algorithm with Loss Control -- Cybersecurity & Privacy -- Privacy Measurement Based on Social Network Properties and Structure -- Research on 5G-based Zero Trust Network Security Platform -- A Mobile Data Leakage Prevention System Based on Encryption Algorithms -- Research on Data Security Access Control Mechanism in Cloud Computing Environment -- Research on Data Security Storage System Based on Distributed Database -- Design of an Active Data Watermark Detection System -- Research on Privacy Protection Methods for Data Mining -- A Cluster-based Facial Image Anonymization Method Using Variational Autoencoder -- IoT Security

-- Research on the Security Diagnosis Platform for Partial Discharge of 10kV Cables in Urban Distribution Networks -- Research on the Electromagnetic Sensor-based Partial Discharge Security Monitoring System of Distribution Network -- Design of Ultrasonic-Based Remote Distribution Network Online Security Monitoring Device -- An Intelligent IoT Terminal Detection System based on Data Sniffing -- Intelligent IoT Terminal Software Identification System based on Behavior Features -- Research on the Identification Model of Power Terminal -- Research on Firmware Vulnerability Mining Model of Power Internet of Things -- How can social workers participatein big data governance? The third-party perspective on big data governance -- Power network scheduling strategy based on federated learning algorithm in edge computing environment.

Sommario/riassunto

This book constitutes the refereed proceedings of the 4th International Conference on Big Data and Security, ICBDS 2022, held in Xiamen, China, during December 8–12, 2022. The 51 full papers and 3 short papers included in this book were carefully reviewed and selected from 211 submissions. They were organized in topical sections as follows: answer set programming; big data and new method; intelligence and machine learning security; data technology and network security; sybersecurity and privacy; IoT security.

Record Nr.

UNINA9911019235103321

Autore

Kromidas Stavros

Titolo

Handbuch Validierung in der Analytik / / Stavros Kromidas ; mit Beitragen von J. Ermer, ... [et al.]

Pubbl/distr/stampa


Weinheim, : Wiley-VCH, 2008

ISBN


9786612279874
9783527660827
3527660828
9781282279872
1282279874
9783527624911
3527624910
9783527624928
3527624929

Descrizione fisica

1 online resource (528 p.)

Altri autori (Persone)

ErmerJoachim

Disciplina

543

Soggetti

Analytical chemistry - Quality control

Analytical chemistry - Methodology

Lingua di pubblicazione

Tedesco

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Originally published: 2000.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Handbuch Validierung in der Analytik; Vorwort; Verzeichnis der Autoren; Zum Aufbau des Buches; Inhalt; Teil A Grundlagen; 1 Grundsätze der Validierung in der Analytik und im Prüfwesen; 1.1 Einführung; 1.2 Definition, Erläuterung und Kommentierung von Begriffen der Qualitäts- sicherung; 1.2.1 Validierung; 1.2.2 Verifizierung; 1.2.3 Qualifizierung bzw. Qualifikation; 1.2.4 Charakterisierung; 1.2.5 Messen, Prüfen, Justieren, Kalibrieren, Eichen; 1.3 Grundvoraussetzungen für die Validierung einer analytischen Methode; 1.4 Die Unsicherheit der Ergebnisse von Messungen, Prüfungen und Analysen

1.5 Methoden zur Charakterisierung von analytischen Methoden1.5.1 Die Charakterisierungsmethoden; 1.5.1.1 Erste Charakterisierungsmethode; 1.5.1.2 Zweite Charakterisierungsmethode; 1.5.1.3 Dritte Charakterisierungsmethode;

1.5.1.4 Vierte Charakterisierungsmethode; 1.5.1.5 Fünfte Charakterisierungsmethode; 1.5.1.6 Kombination der fünf Charakterisierungsmethoden; 1.5.1.7 Weitere Methoden vom Typ B; 1.6 Charakterisierung (Qualifizierung) von Methoden als letzter Schritt einer Validierungsprozedur; 1.7 Freigabe von Methoden, Dokumentation; 1.8 Schlußbemerkungen

2 Vor Beginn der Validierungsarbeiten: Voraussetzungen, Dokumentation, Gerätequalifizierung2.1 Voraussetzungen; 2.2 Dokumentation; 2.3 Gerätequalifizierung; 2.3.1 Das ,,V""-Modell; 2.3.2 Empfehlungen für die Praxis; Teil B Die Praxis der Validierung; 3 Die Validierungsparameter (oder nach ISO 17025: Verfahrensmerkmale); 3.1 Literaturüberblick; 3.2 Die Validierungsparameter einer analytischen Methode; 3.3 Präzision; 3.3.1 Definitionen und Erläuterungen; 3.3.2 Präzisionsarten; 3.3.2.1 Wiederholpräzision, Wiederholbarkeit (früher: Wiederholgenauigkeit)

3.3.2.2 Vergleichspräzision, Vergleichbarkeit (häufig auch: Reproduzierbarkeit, selten Übertragbarkeit)3.3.2.3 Laborpräzision oder laborinterne Vergleichspräzision; 3.3.2.4 Weitere Präzisionen; 3.3.3 Meß- und Methodenpräzision; 3.3.4 Rechenbeispiele; 3.3.4.1 Vergleich von Mittelwerten und Variationskoeffizienten; 3.3.4.2 Vergleich von Meßwertreihen; 3.3.4.3 Vergleich von Methoden, die aus stochastisch unabhängigen Schritten bestehen; 3.3.5 Angaben zur Präzision und deren Deutungsmöglichkeiten; 3.3.6 Umgang mit Zahlen und Möglichkeiten zu deren Beurteilung

3.3.6.1 Ausreißertests oder Verläßlichkeitstests3.3.6.2 Trendtest nach Neumann; 3.3.6.3 Ermittlung der Wiederholgrenze; 3.3.6.4 F- und Cochran-Test; 3.3.6.5 Zusammenfassung der Tests und abschließendes Beispiel; 3.3.7 Abschließende Fragen zur Präzision; 3.3.7.1 Welche Präzision kann noch akzeptiert werden?; 3.3.7.2 Wie kann ich die Präzision erhöhen?; 3.3.7.3 Was sind die Vor- und Nachteile bei großer Präzision?; 3.4 Richtigkeit; 3.4.1 Definitionen und Erläuterungen; 3.4.2 Prüfung auf Richtigkeit; 3.4.2.1 Vergleich mit einem (oder mehreren) Referenz- oder Arbeitsstandard(s)

3.4.2.2 Vergleich mit einer unabhängigen, möglichst validierten Methode bekannter Richtigkeit

Sommario/riassunto

Validierung als Eignungsnachweis für die Qualität der Analytik wird heute von jedem Auftraggeber und Kunden erwartet. Damit stehen Laborleitung und Qualtitätsmanagement vor den Fragen wie:- Was muß unbedingt validiert werden und welche Aussagekraft haben Validierungsdaten?- Was wird von wem vorgegeben und wo sind wir frei?- Wie können wir schnell und kostengünstig, aber richtig validieren?Die Antworten lassen sich jetzt mit diesem Handbuch finden. Es bietet neben einer Einführung in die Grundsätze und Praxis der Validierung insbesondere:- Eine Anleitung zum ökonomischen Umg