SMoBAICS

2021 ◽  
pp. 313-338
Author(s):  
Volkhard Klinger
Keyword(s):  
Data Acquisition ◽  
Simulation Models ◽  
Identification System ◽  
Animal Testing ◽  
Cuff Electrode ◽  
Platform Architecture ◽  
Computer Aided ◽  
Verification Systems ◽  
Application Fields ◽  
And Control

Simulation and modelling are powerful methods in computer aided therapy, rehabilitation monitoring, identification and control. The smart modular biosignal acquisition and identification system (SMoBAICS) provides methods and techniques to acquire electromyogram (EMG)- and electroneurogram (ENG)-based data for the evaluation and identification of biosignals. In this paper the author focuses on the development, integration and verification of platform technologies which support this entire data processing. Simulation and verification approaches are integrated to evaluate causal relationships between physiological and bioinformatical processes. Based on this we are stepping up of efforts to develop substitute methods and computer-aided simulation models with the objective of reducing animal testing. This work continues the former work about system identification and biosignal acquisition and verification systems presented in (Bohlmann et al., 2010), (Klinger and Klauke, 2013), (Klinger, 2014). This paper focuses on the next generation of an embedded data acquisition and identification system and its flexible platform architecture. Different application scenarios are shown to illustrate the system in different application fields. The author presents results of the enhanced closed-loop verification approach and of the signal quality using the Cuff-electrode-based ENG-data acquisition system.

SMoBAICS

2017 ◽  
Vol 5 (2) ◽  
pp. 34-57
Author(s):  
Volkhard Klinger
Keyword(s):  
Data Acquisition ◽  
Simulation Models ◽  
Identification System ◽  
Animal Testing ◽  
Cuff Electrode ◽  
Platform Architecture ◽  
Computer Aided ◽  
Verification Systems ◽  
Application Fields ◽  
And Control

Simulation and modelling are powerful methods in computer aided therapy, rehabilitation monitoring, identification and control. The smart modular biosignal acquisition and identification system (SMoBAICS) provides methods and techniques to acquire electromyogram (EMG)- and electroneurogram (ENG)-based data for the evaluation and identification of biosignals. In this paper the author focuses on the development, integration and verification of platform technologies which support this entire data processing. Simulation and verification approaches are integrated to evaluate causal relationships between physiological and bioinformatical processes. Based on this we are stepping up of efforts to develop substitute methods and computer-aided simulation models with the objective of reducing animal testing. This work continues the former work about system identification and biosignal acquisition and verification systems presented in (Bohlmann et al., 2010), (Klinger and Klauke, 2013), (Klinger, 2014). This paper focuses on the next generation of an embedded data acquisition and identification system and its flexible platform architecture. Different application scenarios are shown to illustrate the system in different application fields. The author presents results of the enhanced closed-loop verification approach and of the signal quality using the Cuff-electrode-based ENG-data acquisition system.

An Integrated Computer-Aided Data Acquisition and Control System

2002 ◽  
Author(s):  
Mohammad Khosrowjerdi ◽  
James Aflaki
Keyword(s):  
Data Acquisition ◽  
High Speed ◽  
Teaching And Learning ◽  
New Technologies ◽  
General Purpose ◽  
Testing System ◽  
Computer Aided ◽  
Experimental Type ◽  
And Control ◽  
Measurement And Control

PC-based data acquisition systems are used in a wide variety of applications. In laboratories, in field services and in manufacturing facilities, these systems act as general-purpose measurement and control tools well suited for measuring voltage signals. Teaching and learning experiences may be enhanced by integrating new-technologies in the engineering curriculum, particularly in experimental-type courses. By installing plug-in data acquisition boards and signal-conditioning hardware, and appropriate software, the general-purpose computers become enormously flexible virtual-instruments with data acquisition and analysis capability. This paper describes a Computer-Aided Testing System which uses a commercially available A/D board to offer users a wide array of measurement and control capabilities. It can be used for making repeated high speed measurement, controlling motors or teaching data acquisition.

A Computer Aided Testing System for an Aero Turbo-Shaft Engine

2011 ◽  
Vol 328-330 ◽  
pp. 542-546
Author(s):  
Chang Zheng Li ◽  
Yong Lei
Keyword(s):  
Information System ◽  
Data Acquisition ◽  
Virtual Instrument ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Testing System ◽  
Computer Aided ◽  
Instrument Technology ◽  
And Control

Engine running plays very important roles in a turbo-shaft engine production and maintenance. Traditional computer aided testing is just work as a data acquisition system to measure parameters and control some devices. In this paper, a CAT system is realized based on VXI and virtual instrument technology, which also communicate with the PLC, the ECU and the dynamometer, to provide a centralized information system for a turbo-shaft engine running. Multi-functions are realized to assistant users before, during and after experiments.

Environmental technology: Fluidised-bed steam dryers — latest developments and practical experience

2016 ◽  
pp. 86-90
Author(s):  
Gerald Caspers ◽  
Klaus Nammert ◽  
Holger Fersterra ◽  
Hartmut Hafemann
Keyword(s):  
Data Acquisition ◽  
Early Stage ◽  
Practical Experience ◽  
Great Depth ◽  
Fluidised Bed ◽  
Operating Data ◽  
Beet Pulp ◽  
Improved Design ◽  
Distribution Plate ◽  
And Control

Fluidised-bed steam dryers have been in use for industrial-scale drying of pressed beet pulp for more than 20 years. This highly energy-efficient process can be considered to be state of the art in the industry. Scientific laboratory and pilot-plant testing have provided the basis for a detailed description of the principles of fluidisation and drying in superheated water vapour. Advances in production data acquisition, in particular regarding the options for the real-time presentation and evaluation of high-resolution operating data (Industry 4.0), have opened up new potentials for optimisation of the drying process in fluidised-bed steam dryers. By analysing and interpreting sequences of events, or simultaneous events, it is now possible to analyse process behaviour in great depth. This allows malfunctions to be avoided by improved design or, assisted by suitable measuring and control systems, to be detected at an early stage. Failures can then be prevented altogether by initiating automated countermeasures. On the basis of more recent insights gained from the analysis of faults and disruptions using modern operating data acquisition, BMA’s fluidised-bed steam dryer (WVT) has been subjected to fundamental technological and technical improvements, so it now meets today’s demands for efficiency and reliability. Modifications include the product inlet, the distribution plate and several other parts, in addition to the known and patented PPS (Plug Protection System; EP 2457649 B1), and the patented rotary weir (EP 2146167 B1).

Web-Based Small Scaled Portable Data Acquisition and Control Unit for Demand Side Load

2020 ◽  
Author(s):  
Meer Shadman Shafkat Tanjim ◽  
Ashrafun Nushra Oishi ◽  
Ali Azam Sojib ◽  
Md. Bashir Ahmmad ◽  
Md. Shaiful Islam ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Control Unit ◽  
Demand Side ◽  
Web Based ◽  
Side Load ◽  
And Control

scholarly journals Transmission Path Tracking of Maritime COVID-19 Pandemic via Ship Sailing Pattern Mining

2021 ◽  
Vol 13 (3) ◽  
pp. 1089
Author(s):  
Hailin Zheng ◽  
Qinyou Hu ◽  
Chun Yang ◽  
Jinhai Chen ◽  
Qiang Mei
Keyword(s):  
Clustering Algorithm ◽  
Pattern Mining ◽  
Transportation Networks ◽  
Automatic Identification ◽  
Identification System ◽  
Classification Models ◽  
Transmission Path ◽  
The Hierarchical Structure ◽  
Hierarchical Clustering Algorithm ◽  
And Control

Since the spread of the coronavirus disease 2019 (COVID-19) pandemic, the transportation of cargo by ship has been seriously impacted. In order to prevent and control maritime COVID-19 transmission, it is of great significance to track and predict ship sailing behavior. As the nodes of cargo ship transportation networks, ports of call can reflect the sailing behavior of the cargo ship. Accurate hierarchical division of ports of call can help to clarify the navigation law of ships with different ship types and scales. For typical cargo ships, ships with deadweight over 10,000 tonnages account for 95.77% of total deadweight, and 592,244 berthing ships’ records were mined from automatic identification system (AIS) from January to October 2020. Considering ship type and ship scale, port hierarchy classification models are constructed to divide these ports into three kinds of specialized ports, including bulk, container, and tanker ports. For all types of specialized ports (considering ship scale), port call probability for corresponding ship type is higher than other ships, positively correlated with the ship deadweight if port scale is bigger than ship scale, and negatively correlated with the ship deadweight if port scale is smaller than ship scale. Moreover, port call probability for its corresponding ship type is positively correlated with ship deadweight, while port call probability for other ship types is negatively correlated with ship deadweight. Results indicate that a specialized port hierarchical clustering algorithm can divide the hierarchical structure of typical cargo ship calling ports, and is an effective method to track the maritime transmission path of the COVID-19 pandemic.

Study on Water Environmental Integrated Management Modeling Platform in Zhangweinan Basin, China

2013 ◽  
Vol 726-731 ◽  
pp. 3506-3512 ◽  
Author(s):  
Shu Yuan Li ◽  
Jian Hua Tao ◽  
Lei Yu
Keyword(s):  
Bohai Sea ◽  
Integrated Management ◽  
Water Environment ◽  
Pollutant Load ◽  
The Bohai Sea ◽  
Management Platform ◽  
Platform Architecture ◽  
And Control ◽  
Warning Model ◽  
Resource Shortage

Zhangweinan basin is a typical area where has the most serious water resource shortage and water environmental deterioration problems in north of China. To improve the increasingly deteriorated water eco-environment, studies on the integrated management of water resources and water environment in the basin were carried out with focus on the prevention and control of water pollution, and based on which, an integrated management platform on water environment was developed. This paper introduces the platform architecture and elaborates the construction process of the total pollutant load control model and pollution incident early warning model. This platform provides technical supports for weakening the total pollutant load in the basin, reducing the pollutant load flowing into the Bohai Sea, and increasing the eco-flow of river channel and flow into the Bohai Sea.

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