Results 31 to 40 of about 13,980,683 (311)

Multimode Wind Tunnel Flow Field System Monitoring Based on KPLS

, 2023
In a wind tunnel process, Mach number is the most important parameter. However, it is difficult to measure directly, especially in the multimode operation process, leading to difficulty in process monitoring.
Ran Zhang, Jin Guo, Xiaochun Cui, Luping Zhao, Weitong Ma   +4 more
core   +1 more source

Biosensors for process monitoring

Journal of Industrial Microbiology, 1992
A short review about the biosensor research activities for bioprocess monitoring in the F.R.G. after its reunification is given. The principles of biosensor applications are presented. In situ sensors and sensors based on the principles of flow injection analysis are studied.
openaire   +2 more sources

“3S” TECHNOLOGIES AND APPLICATION FOR DYNAMIC MONITORING SOIL AND WATER LOSS IN THE YANGTZE RIVER BASIN, CHINA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
For China, which has many big rivers, there is an urgent need for efficient dynamic monitoring technology of water and soil loss. However, there are some problems in the current 3S (RS, GIS and GPS) technology for dynamic monitoring water and soil loss ...
C. Li, J. Yao, R. Li, Y. Zhu, H. Yao, P. Zhang, D. Wei, S. Zhao, Y. Li, Y. Wu   +9 more
doaj   +1 more source

Research on an Equivalent Heat Source Model of the AC Arc in the Short Gap of a Copper-Core Cable and a Fire Risk Assessment Method

Sensors
The magnetohydrodynamics (MHD) model of the alternating current (AC) arc is complex, so a simplified equivalent heat source (EHS) model can be used to replace the complex model in studying the AC arc’s thermal characteristics and cable fire risk.
Yu Li, Rencheng Zhang, Kai Yang, Yufan Qi   +3 more
doaj   +1 more source

Worker Movement Diagram Based Stochastic Model of Open Paced Conveyors

Hungarian Journal of Industry and Chemistry, 2018
Human resources are still utilized in many manufacturing systems, so the development of these processes should also focus on the performance of the operators. The optimization of production systems requires accurate and reliable models.
Ruppert Tamás, Abonyi János
doaj   +1 more source

Learning Interpretable Mixture of Weibull Distributions—Exploratory Analysis of How Economic Development Influences the Incidence of COVID-19 Deaths

Data, 2021
This paper presents an algorithm for learning local Weibull models, whose operating regions are represented by fuzzy rules. The applicability of the proposed method is demonstrated in estimating the mortality rate of the COVID-19 pandemic.
Róbert Csalódi, Zoltán Birkner, János Abonyi   +2 more
doaj   +1 more source

Numerical investigations of AC arcs’ thermal characteristics in the short gap of copper-cored wires

Scientific Reports
Excessive alternating current (AC) arcs generated in electric systems will accumulate heat and easily cause fire. This paper studies the thermal characteristics of different numbers of AC arc plasma generated in a short gap of copper-cored wires in the ...
Yu Li, Rencheng Zhang, Kai Yang, Yufan Qi, Ran Tu   +4 more
doaj   +1 more source

Real-Time Locating System in Production Management

Sensors, 2020
Real-time monitoring and optimization of production and logistics processes significantly improve the efficiency of production systems. Advanced production management solutions require real-time information about the status of products, production, and ...
András Rácz-Szabó, Tamás Ruppert, László Bántay, Andreas Löcklin, László Jakab, János Abonyi   +5 more
doaj   +1 more source

Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan, Michael Abele, Calogero Virgone, Michaela Kuhlen, Ricardo Lopez‐Almarez, Tal Ben‐Ami, Ewa Bien, Maja Cesen, Malgorzata A. Krawczyk, Andrea Ferrari, Gianni Bisogno, Yves Reguerre, Dominik T. Schneider, Louise Galmiche, Jorg Fuchs, Sarah Braungart, Bilgehan Yalcin, Ines B. Brecht, Daniel Orbach   +18 more
wiley   +1 more source

Incorporating spatial context into remaining-time predictive process monitoring [PDF]

, 2021
Predictive business process monitoring aims to accurately predict a variable of interest (e.g. remaining time) or the future state of the process instance (e.g. outcome or next step).
Ogunbiyi, Niyi, Chaussalet, Thierry, Basukoski, Artie   +2 more
core   +1 more source