scholarly journals WSN System Architecture and Typical Requirements of Clustering in Data Mining

2019 ◽  
pp. 672-678
Author(s):  
Shoban Babu Sriramoju
Keyword(s):  
Data Mining ◽  
Real Time ◽  
System Architecture ◽  
Relevant Information ◽  
The Real ◽  
Finite Delay

Data mining describes removing or mining expertise from huge amounts of data. The term is really a misnomer. Hence, data mining ought to have been much more properly named as understanding mining which emphasis on mining from big amounts of data. The real-time sensing units will instantaneously notice, document, and send reviews throughout consumer for further handling of the acquired relevant information. Exclusively, the real-time document is actually interested in the efficiency of important uses that require finite delay latency. Real-time wireless interaction is an arising app sector of WSNs which possesses a possible considerable study path.

The Application of Virtual Reality Technology in the Housing Display System

2012 ◽  
Vol 588-589 ◽  
pp. 1320-1323
Author(s):  
Li Xia Wang
Keyword(s):  
Virtual Reality ◽  
Detailed Analysis ◽  
Real Time ◽  
System Architecture ◽  
Three Dimensional ◽  
Display System ◽  
Special Effect ◽  
Virtual Reality Technology ◽  
The Real ◽  
Multigen Creator

This paper takes the virtual reality technology as a core, has established the housing virtual reality roaming display system, Under the premise of the detailed analysis of system architecture, We focus on how to form the terrain database and the scenery three-dimensional database by using the MultiGen Creator, and call OpenGVS through MSVC to carry on the real-time scene control and the method of the complex special effect realization.

scholarly journals Precision Detection of Real-Time Conditions of Dairy Cows Using an Advanced Artificial Intelligence Hub

2021 ◽  
Vol 11 (24) ◽  
pp. 12043
Author(s):  
Kim Margarette Corpuz Nogoy ◽  
Jihwan Park ◽  
Sun-il Chon ◽  
Saraswathi Sivamani ◽  
Min-Jeong Park ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Heat Stress ◽  
Dairy Cows ◽  
Real Time ◽  
Theoretical Data ◽  
Relevant Information ◽  
Subclinical Mastitis ◽  
Health And Wellness ◽  
Difficult Decision

One of the main challenges in the adoption of artificial intelligence-based tools, such as integrated decision support systems, is the complexities of their application. This study aimed to define the relevant parameters that can be used as indicators for real-time detection of heat stress and subclinical mastitis in dairy cows. Moreover, this study aimed to demonstrate the use of a developed data-mining hub as an artificial intelligence-based tool that integrates the defined relevant information (parameters or traits) in accurately identifying the condition of the cow. A comprehensive theoretical framework of the data-mining hub is demonstrated, the selection of the parameters that were used for the data-mining hub is listed, and the relevance of the traits is discussed. The practical application of the data-mining hub has shown that using 21 parameters instead of 13 and 8 parameters resulted in a high overall accuracy of detecting heat stress and subclinical mastitis in dairy cows with a high precision effect reflecting a low percentage of misclassifying the conditions of the dairy cows. This study has developed an innovative approach in which combined information from different independent data was used to accurately detect the health and wellness status of the dairy cows. It can also be implied that an artificial intelligence-based tool such as the proposed theoretical data-mining hub of dairy cows could maximize the use of continuously generated and underutilized data in farms, thus ultimately simplifying repetitive and difficult decision-making tasks in dairy farming.

scholarly journals A Multi-Agent System Architecture for Coordination of the Real-Time Control Functions in Complex Industrial Systems

2011 ◽  
Vol 6 (4) ◽  
pp. 761
Author(s):  
Jiang Wu ◽  
Raynitchka Tzoneva
Keyword(s):  
Real Time ◽  
System Architecture ◽  
Multi Agent System ◽  
Real Time Control ◽  
Agent System ◽  
Industrial Systems ◽  
The Real ◽  
Time Control ◽  
Control Functions ◽  
Multi Agent

Multi-agent system architecture for coordination of the real-time control functions in complex industrial systems is presented. The problem which must be solved out is how efficiently to organize the interactions between tasks in order to satisfy the functionality and the time restriction of the system. In order to solve this problem, the treatment of the task interactions is separated from the tasks and is implemented by the proposed multi-agent system. A general three level multi-agent system is introduced to manage the interactions and schedule of tasks. A framework of building of the schedule of the tasks is also presented. Finally, the benefits of the proposed architecture are discussed.

scholarly journals The Manipulation of Real-Time Kinect-Based Robotic Arm Using Double-Hand Gestures

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Chern-Sheng Lin ◽  
Pei-Chi Chen ◽  
Yu-Ching Pan ◽  
Che-Ming Chang ◽  
Kuo-Liang Huang
Keyword(s):  
Real Time ◽  
Human Body ◽  
Relevant Information ◽  
Robotic Arm ◽  
Depth Sensor ◽  
Hand Gestures ◽  
The Real ◽  
Left Hand ◽  
Right Hand ◽  
The Right

This study focused on utilizing the Kinect depth sensor to track double-hand gestures and control a real-time robotic arm. The control system is mainly composed of the microprocessor, a color camera, the depth sensor, and the robotic arm. The Kinect depth sensor was used to take photos of the human body to analyze the skeleton of a human body and obtain the relevant information. Such information was used to identify the gestures of the left hand and the left palm of the user. The gesture of left hand was used as an input command device. The gesture of the right hand was used for imitation movement teaching of robotic arm. From the depth sensor, the real-time images of the human body and the deep information of each joint were collected and converted to the relative positions of the robotic arm. Combining forward kinematics and inverse kinematics and D-H link, the gesture information of the right hand was calculated, which was converted via coordinates into each angle of the motor of the robotic arm. From the color camera, when the left palm was not detected, the user could simply use the right hand to control the action and movement of the real-time robotic arm. When the left palm was detected and 5 fingertips were identified, it meant the start of recording the real-time imitation movement of the robotic arm by the right hand. When 0 fingertip was identified, it meant the stoppage of the above recording. When 2 fingertips were identified, the user could not only control the real-time robotic arm but also repeat the recorded actions.

Data Mining Approaches to the Real-Time Monitoring and Early Warning of Convective Weather Using Lightning Data

2019 ◽  
pp. 83-101
Author(s):  
Stephan Stephany ◽  
Cesar Strauss ◽  
Alan James Peixoto Calheiros ◽  
Glauston Roberto Teixeira de Lima ◽  
João Victor Cal Garcia ◽  
...  
Keyword(s):  
Data Mining ◽  
Real Time ◽  
Early Warning ◽  
Real Time Monitoring ◽  
The Real ◽  
Convective Weather ◽  
Monitoring And Early Warning
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