Weighted FP-Tree Mining Algorithms for Conversion Time Data Flow

2016 ◽  
Vol 9 (1) ◽  
pp. 169-184 ◽  
Author(s):  
Xiao-jun Chen ◽  
Jia Ke ◽  
Qian-qian Zhang ◽  
Xin-ping Song ◽  
Xiao-ming Jiang
Keyword(s):  
Data Flow ◽  
Time Data ◽  
Tree Mining ◽  
Conversion Time ◽  
Mining Algorithms

scholarly journals Students Safety with Parents, Driver and Management Alerting System using Cloud Technology

2020 ◽  
Vol 9 (4) ◽  
pp. 797-801
Keyword(s):  
Cloud Computing ◽  
Real Time ◽  
Data Access ◽  
Raspberry Pi ◽  
Time Data ◽  
School Bus ◽  
Smart System ◽  
Bus Stop ◽  
Alerting System ◽  
Fast Processing

Main objective of proposed system is to develop a cloud based smart system for school bus/vehicles that track and monitor the student entering in to the bus and by using cloud computing, alert their parents and school administration about student entering or leaving school bus as well as about any emergency occurs. As all know that in today’s fast lifestyle parents don’t have more time to drop and pick their children at bus stop or school. There are number of problem occur in the society about safe transportation of children from home to school and vice versa. Parents have always tension about transportation through buses/vehicle. To avoid this problem this system is proposed. Main aim is to develop a system which is beneficial for society, reduce waiting time on the bus stop, reduce crime against student and increase the safe transportation of student from home to school and vice versa. System monitors every student get entered into the school bus. The proposed system will be definitely helpful for real time tracking of school bus. Cloud based system is designed that is configured with Raspberry Pi IOT module for fast processing and data access. This module has to be attached to every bus to capture the real time data. And the data from many buses are well managed by ThingSpeak cloud from MATHWORK. Monitoring and alerting through cloud computing.

Improving latency in Internet-of-Things and cloud computing for real-time data transmission: a systematic literature review (SLR)

2021 ◽  
Author(s):  
Saurabh Shukla ◽  
Mohd. Fadzil Hassan ◽  
Duc Chung Tran ◽  
Rehan Akbar ◽  
Irving Vitra Paputungan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Literature Review ◽  
Real Time ◽  
Systematic Literature Review ◽  
Data Transmission ◽  
Time Data ◽  
Real Time Data

Real Time Data: Interactive Monitoring of Data Flow for Continuous and Reliable Data Transmission

2013 ◽  
Author(s):  
Abdulrahman A. Al-Amer ◽  
Muhammad Al-Gosayir ◽  
Naser Al-Naser ◽  
Hussain Al-Towaileb
Keyword(s):  
Real Time ◽  
Data Transmission ◽  
Data Flow ◽  
Reliable Data ◽  
Time Data ◽  
Real Time Data

How Industry 4.0 Can Benefit From Semantic Web Technologies and Artefacts

2021 ◽  
Vol 13 (4) ◽  
pp. 64-74
Author(s):  
Leila Zemmouchi-Ghomari
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Semantic Web ◽  
Industry 4.0 ◽  
The Internet ◽  
Time Data ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Real Time Data ◽  
The Internet Of Things

Industry 4.0 is a technology-driven manufacturing process that heavily relies on technologies, such as the internet of things (IoT), cloud computing, web services, and big real-time data. Industry 4.0 has significant potential if the challenges currently being faced by introducing these technologies are effectively addressed. Some of these challenges consist of deficiencies in terms of interoperability and standardization. Semantic Web technologies can provide useful solutions for several problems in this new industrial era, such as systems integration and consistency checks of data processing and equipment assemblies and connections. This paper discusses what contribution the Semantic Web can make to Industry 4.0.

Research on the Mining Technology of Multimedia Communication Data Flow Based on Computer Network

2013 ◽  
Vol 380-384 ◽  
pp. 3570-3574
Author(s):  
Yong Hong Cheng ◽  
Li Hua Ouyang ◽  
Xin Yan Liu
Keyword(s):  
Data Stream ◽  
High Speed ◽  
Data Flow ◽  
Computer Network ◽  
Multimedia Communication ◽  
Data Stream Mining ◽  
Stream Mining ◽  
Mining Technology ◽  
Daily Work ◽  
Mining Algorithms

computer network multimedia communication has spread all over daily work and life fields, people also have put forward higher requirements for computer multimedia communication network. Based on current network multimedia communication, there are a large amount of data transmission, high-speed and dynamic characteristics, the mining technology of its communication data flow is carried out related to research. In this paper, the frequent item sets of data stream mining technology is carried out related to research, and the classical HCOUNT algorithm is carried out relevant analysis, according to the relevant analysis, the classical HCOUNT algorithm is improved, in order to alleviate possible error problem in data mining. Finally, the data stream mining algorithms are carried out relevant analysis of actual experimental data. Study on the technical aspects of the data flow mining in computer network multimedia communication, it is an important role in the development of the computer network multimedia communication. Study on the improvement of the current algorithm, it provides reference in the similar field of algorithm research

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