Software Framework for Evaluating and Optimizing Data Acquisition Efficiency

2017 ◽  
Author(s):  
Ji Sung Kim ◽  
Soo Dong Kim
Keyword(s):  
Data Acquisition ◽  
Software Framework

scholarly journals EUDAQ2—A flexible data acquisition software framework for common test beams

2019 ◽  
Vol 14 (10) ◽  
pp. P10033-P10033 ◽  
Author(s):  
Y. Liu ◽  
M.S. Amjad ◽  
P. Baesso ◽  
D. Cussans ◽  
J. Dreyling-Eschweiler ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Software Framework ◽  
Data Acquisition Software ◽  
Acquisition Software

ARISTARKO: A Software Framework for Physiological Data Acquisition

2016 ◽  
pp. 215-223 ◽  
Author(s):  
Arturo Martínez-Rodrigo ◽  
José Manuel Pastor ◽  
Roberto Zangróniz ◽  
César Sánchez-Meléndez ◽  
Antonio Fernández-Caballero
Keyword(s):  
Data Acquisition ◽  
Physiological Data ◽  
Software Framework

A Monitoring and Wireless Transmission System on the Machining Tool

2011 ◽  
Vol 189-193 ◽  
pp. 4182-4185
Author(s):  
Jing Lin ◽  
Yin Biao Guo ◽  
Wei Yang ◽  
Rui Zhu ◽  
Ni Tang
Keyword(s):  
Data Acquisition ◽  
High Precision ◽  
Data Acquisition System ◽  
Transmission System ◽  
Wireless Transmission ◽  
Acquisition System ◽  
Software Framework ◽  
Aspheric Surface

This paper presents a wireless transmission and data acquisition system for monitoring optical aspheric grinding environment. The hardware and software framework of the system is discussed. The result of experiments verifies the system is feasible in high precision aspheric surface manufacturing.

scholarly journals EUDAQ—a data acquisition software framework for common beam telescopes

2020 ◽  
Vol 15 (01) ◽  
pp. P01038-P01038 ◽  
Author(s):  
P. Ahlburg ◽  
S. Arfaoui ◽  
J.-H. Arling ◽  
H. Augustin ◽  
D. Barney ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Software Framework ◽  
Data Acquisition Software ◽  
Acquisition Software

scholarly journals The ROD crate DAQ software framework of the ATLAS data acquisition system

2006 ◽  
Vol 53 (3) ◽  
pp. 907-911 ◽  
Author(s):  
S. Gameiro ◽  
G. Crone ◽  
R. Ferrari ◽  
D. Francis ◽  
B. Gorini ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Data Acquisition System ◽  
Acquisition System ◽  
Software Framework ◽  
Atlas Data

DAQ++: A C++ Data Acquisition Software Framework

2007 ◽  
Author(s):  
C. Lacasta ◽  
E. Cochran ◽  
K. Honscheid ◽  
G. Llosa ◽  
A. Studen
Keyword(s):  
Data Acquisition ◽  
Software Framework ◽  
Data Acquisition Software ◽  
Acquisition Software

Software framework of a real-time pre-beamformed RF data acquisition of an ultrasound research scanner

2012 ◽  
Author(s):  
Hyun-Jae Kang ◽  
Nathanael Kuo ◽  
Xiaoyu Guo ◽  
Danny Song ◽  
Jin U. Kang ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Software Framework

scholarly journals A Software Framework for Heterogeneous Wireless Sensor Network Towards Environmental Monitoring

2019 ◽  
Vol 9 (5) ◽  
pp. 867 ◽  
Author(s):  
Qian Huang ◽  
Kane Rodriguez
Keyword(s):  
Wireless Sensor Network ◽  
Data Acquisition ◽  
System Design ◽  
Sensor Network ◽  
Environmental Data ◽  
Wireless Sensor ◽  
Software Framework ◽  
Environmental Sensors ◽  
Heterogeneous Sensors ◽  
Heterogeneous Wireless Sensor Network

A wireless sensor network (WSN) is typically composed of spatially distributed miniature sensors that help collect large amounts of real-time environmental data from buildings. These environmental data (e.g., temperature, humidity, CO2 concentration) can assist a series of heating, ventilation, and air conditioning (HVAC) equipment to increase the building energy efficiency. From a system design perspective, heterogeneous wireless sensor networks need to address two challenges. First, sensor data acquisition, conversion, fusion, and packaging involve a series of software processing. Since each type of environmental sensor typically has unique processing requirements, it is difficult to develop an efficient software framework to combine the processing of multiple heterogeneous sensors. Second, during normal operation of a heterogeneous wireless sensor network, if users insert or remove some environmental sensors, the entire WSN system should operate normally. In this work, in order to solve the above two system design challenges, we have developed a low-power, low-cost, small form-factor WSN development platform, and its software framework can perform efficient data acquisition, conversion, fusion, and packaging for multiple heterogeneous sensors. Our proposed software framework enables easy and rapid WSN system deployment without affecting the overall functionality of each node. The proposed design differs from existing WSN platforms in that it emphasizes advanced high-level usability and reduces time to market without sacrificing low-level features. The proposed WSN system has been implemented and tested in an office building for indoor fire hazard detection. The experimental results show that our software framework can successfully complete data acquisition, conversion, fusion, and packaging tasks for three heterogeneous environmental sensors. In addition, we have verified that our software framework supports robust system operation when inserting or removing sensors from an existing heterogeneous WSN system.

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