Design of the Distributed Battery Manage System Based on CAN Bus

2013 ◽  
Vol 846-847 ◽  
pp. 211-214
Author(s):  
Jin Rui Nan ◽  
Da Diao Ning ◽  
Cheng Lin ◽  
Can Sun
Keyword(s):  
Data Analysis ◽  
Process Control ◽  
Real Time ◽  
Distributed System ◽  
Can Bus ◽  
Control Board ◽  
Reliable Communication ◽  
Experimental Process

Battery package and battery manage system of eletric vehicle need ata recording, data analysis and experimental process control. In this article an industrial battery manage system based on CAN bus was describe. The topology of CAN contains an upper machine developed in LabVIEW, a main control board and eight acquisition boards. CAN bus makes it convenient to build a distributed system and achieve real-time and reliable communication.

Monitoring System of CAN Bus Based on OPC Technology

2013 ◽  
Vol 662 ◽  
pp. 713-716 ◽  
Author(s):  
Yu Qin Song ◽  
Chun Li Li
Keyword(s):  
Process Control ◽  
Real Time ◽  
Monitoring System ◽  
Control Experiment ◽  
Can Bus ◽  
Graphical Interface ◽  
Real Time Monitoring ◽  
Interface Card ◽  
Experiment Platform ◽  
Opc Technology

Through the comparison of many monitoring system’s schemes, the bus way of monitoring system was select which is based on CAN bus, using the PCI-5110 CAN interface card which is produced by ZHOU Li-gong company as the CAN node, selecting the CAN485MB intelligent protocol converters as their communication bridge between the CAN interface card and AI instrument. The system adopts the OPC technology to realize the communication between Kingview and CAN bus and builds a monitoring system based on CAN bus network to realize the function of the process control experiment platform of the real-time monitoring and graphical interface. Having friendly MMI, good flexibility, the whole system is worth to popularize and publicity.

MEMIKAT HATI WAJIB PAJAK SEHINGGA MEMILIKI WILLINGNESS TO COMPLY MELALUI PENYULUHAN PAJAK BERDASARKAN FOGG BEHAVIORAL MODEL

INFO ARTHA ◽  
2017 ◽  
Vol 2 ◽  
pp. 56-79
Author(s):  
NFN Khusnaini ◽  
Agung Widi Hatmoko
Keyword(s):  
Data Analysis ◽  
Quantitative Analysis ◽  
Statistical Data ◽  
Tax Compliance ◽  
Behavioral Model ◽  
Control Group ◽  
Qualitative And Quantitative Analysis ◽  
Qualitative And Quantitative ◽  
Quasi Experimental ◽  
Experimental Process

Attitudes towards tax compliance (willingness to comply) Indonesian society is still low. Required an innovative tax dissemination to increase it. The purpose of this study was to determine whether the tax dissemination based on Fogg Behavioral Model (FBM) approach may increase wiliingness to comply. The FBM based tax dissemination asserts that for a person to perform a target behavior, which is a willingness to comply, he or she must be sufficiently motivated, have the ability to perform the behavior, and be trigerred, to perform the behavior. This research is a combination of qualitative and quantitative analysis of statistical data results of the questionnaire, interviews, and observations of the respondent and the experimental process of dissemination. The method used in this study is a quasi experimental with patterns of nonequivalent control group (pretest-post which is not equivalent). Based on the results of data analysis, interviews and observations of the respondent and the experiment, this research showed that theFBMbasedtaxdissemination hasapositiveimpactto willingnesstocomplyofthetaxpayers. 

Architecture of a distributed system for processing heterogeneous data from social networks

2020 ◽  
Vol 4 ◽  
pp. 97-100
Author(s):  
A.P. Pronichev ◽  
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Distributed System ◽  
Heterogeneous Data ◽  
Analysis Process ◽  
Support Costs

The article discusses the architecture of a system for collecting and analyzing heterogeneous data from social networks. This architecture is a distributed system of subsystem modules, each of which is responsible for a separate task. The system also allows you to use external systems for data analysis, providing the necessary interface abstraction for connection. This allows for more flexible customization of the data analysis process and reduces development, implementation and support costs.

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