Bus Passenger Origin-Destination Matrix Estimation Using Available Information from Automatic Data Collection Systems in Chongqing, China

2013 ◽  
Vol 779-780 ◽  
pp. 878-889
Author(s):  
Su Ping Chen ◽  
Dai Zong Liu
Keyword(s):  
Data Collection ◽  
Gps Data ◽  
Collection System ◽  
Automated Data Collection ◽  
Automatic Data ◽  
Matrix Estimation ◽  
Bus Stop ◽  
Automatic Data Collection ◽  
Available Information

This research explores the application of available information from Automated Data Collection Systems (ADC) with a focus on bus passenger Origin-Destination (OD) matrices inference, using Chongqing as a case study. It demonstrates the feasibility and ease of applying to infer bus passengers boarding and alighting locations if boarding information is available from neither Automatic Fare Collection System (AFC) nor GPS data, and is the first known attempt to create an algorism to use stop Geographic Information System (GIS) and dual-direction bus stop group to estimate the boarding location and traveling direction when GPS data cannot provide the arriving information at bus stops. The results of this research have been practically applied to a full-size bus network in Chongqing, and can be easily implemented to other Chinese cities as Chongqing presents most popular data structure of ADC in China.

scholarly journals ZOO: an automatic data-collection system for high-throughput structure analysis in protein microcrystallography

2019 ◽  
Vol 75 (2) ◽  
pp. 138-150 ◽  
Author(s):  
Kunio Hirata ◽  
Keitaro Yamashita ◽  
Go Ueno ◽  
Yoshiaki Kawano ◽  
Kazuya Hasegawa ◽  
...  
Keyword(s):  
Data Collection ◽  
Structural Information ◽  
Protein Crystal ◽  
Quality Data ◽  
Collection System ◽  
Automated Data Collection ◽  
Automatic Data ◽  
Data Collection System ◽  
Automatic Data Collection ◽  
Processing Techniques

Owing to the development of brilliant microfocus beamlines, rapid-readout detectors and sample changers, protein microcrystallography is rapidly becoming a popular technique for accessing structural information from complex biological samples. However, the method is time-consuming and labor-intensive and requires technical expertise to obtain high-resolution protein crystal structures. At SPring-8, an automated data-collection system named ZOO has been developed. This system enables faster data collection, facilitates advanced data-collection and data-processing techniques, and permits the collection of higher quality data. In this paper, the key features of the functionality put in place on the SPring-8 microbeam beamline BL32XU are described and the major advantages of this system are outlined. The ZOO system will be a major driving force in the evolution of the macromolecular crystallography beamlines at SPring-8.

scholarly journals Body Temperature Detection and Data Collection during COVID-19

2021 ◽  
Vol 233 ◽  
pp. 01144
Author(s):  
Wenhong Yu ◽  
Chenlu Luo ◽  
Kuan Wang
Keyword(s):  
Economic Development ◽  
Body Temperature ◽  
Data Collection ◽  
Data Acquisition System ◽  
The Body ◽  
Collection System ◽  
Automatic Data ◽  
Temperature Detection ◽  
Social And Economic Development ◽  
Automatic Data Collection

At present, COVID-19 is raging in many countries, which poses a great threat to people's life, health, social and economic development. Body temperature screening is very helpful for early detection of potential infected persons and blocking the spread of the epidemic. The paper mainly introduces the body temperature detection and data acquisition system, and designs a system with the function of non-contact temperature measurement and automatic data collection system. This system is suitable for the company or school where the flow of people is large and the temperature needs to be measured quickly, and upload information in real time.

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