Human Action Modeling and Application to a Control System Using the Mahalanobis-Taguchi System

2016 ◽  
Author(s):  
Yusuke Asaka ◽  
Keiichi Watanuki ◽  
Shuichi Fukuda ◽  
Keiichi Muramatsu ◽  
Kazunori Kaede
Keyword(s):  
Pattern Recognition ◽  
Control System ◽  
Knowledge Acquisition ◽  
Explicit Knowledge ◽  
Adaptive Method ◽  
Human Action ◽  
Embodied Knowledge ◽  
Set Up ◽  
Intuitive Sense ◽  
Recognition Technique

This paper discusses human action modeling and its application to a control system that uses the Mahalanobis – Taguchi System (MTS). In this study, we define embodied knowledge as being included in tacit knowledge. We also define a set of skills based on experiences and intuitive sense as seen in creating an art, sport, craft, or other skilled task. Embodied knowledge is difficult to express explicitly. As our goals, we analyze embodied knowledge acquisition for human action modeling and apply to a control system by using MTS. An analysis of embodied knowledge using devices and pattern-recognition techniques to recognize un-explicit knowledge are being developed owing to recent improvements in technology. Embodied knowledge acquisition element of recognition can be represented as a pattern recognition technique. In this paper, we confirm that MTS is an adaptive method for recognizing pattern in human action modeling. We set up a control model including a controller using the MTS, which is modeled after an internal model of the cerebellum. We apply the controller based on the Recognition Taguchi (RT) method to invert the control of the pendulum. The result indicate that the controller is capable of detecting disturbance.

A Variant Group Assignment Three Dimensional Model Using Pattern Recognition Technique

2019 ◽  
Vol 10 (6) ◽  
pp. 1382-1394
Author(s):  
R. Vijayalakshmi ◽  
V. K. Soma Sekhar Srinivas ◽  
E. Manjoolatha ◽  
G. Rajeswari ◽  
M. Sundaramurthy
Keyword(s):  
Pattern Recognition ◽  
Three Dimensional ◽  
Dimensional Model ◽  
Three Dimensional Model ◽  
Pattern Recognition Technique ◽  
Group Assignment ◽  
Recognition Technique

Use of a Catecholamine Sensor in the Control of an Artificial Heart System

1997 ◽  
Vol 20 (1) ◽  
pp. 37-42 ◽  
Author(s):  
K. Mabuchi ◽  
T. Chinzei ◽  
Y. Abe ◽  
K. Imanishi ◽  
T. Isoyama ◽  
...  
Keyword(s):  
Control System ◽  
Plasma Proteins ◽  
Artificial Heart ◽  
Circulatory System ◽  
Reference Electrode ◽  
Mock Circulatory System ◽  
Real Time Measurement ◽  
Artificial Hearts ◽  
Set Up ◽  
Catecholamine Concentration

An electrochemical sensor system to allow real-time measurement and feedback of catecholamine concentrations was developed for use in the control of artificial hearts. Electrochemical analyses were carried out using a carbon fiber working electrode, an Ag-AgCI reference electrode, and a potentiostat. The operating parameters of the pneumatically-driven artificial heart system were altered in accordance with the algorithm for changes in the catecholamine concentration. The minimum detectable concentrations of both adrenaline and noradrenaline in a mock circulatory system using a phosphate-buffered solution were approximately 1-2 ng/ml (10-8 mol/L). An artificial heart control system utilizing this set-up performed satisfactorily without delay, although sensor sensitivity decreased when placed in goat plasma instead of a phosphate-buffered solution, due to the adsorption of various substances such as plasma proteins onto the electrodes. This study demonstrated the future feasibility of a feedback control system for artificial hearts using catecholamine concentrations.

Research on Knowledge Discovery and Stock Forecasting of Financial News Based on Domain Ontology

2019 ◽  
Vol 18 (03) ◽  
pp. 953-979 ◽  
Author(s):  
Lingling Zhang ◽  
Minghui Zhao ◽  
Zili Feng
Keyword(s):  
Knowledge Acquisition ◽  
Knowledge Discovery ◽  
Tacit Knowledge ◽  
Explicit Knowledge ◽  
Academic Research ◽  
Online News ◽  
Domain Ontology ◽  
General Mechanism ◽  
Financial News ◽  
Knowledge Reasoning

In the era of big data, how to obtain useful knowledge from online news and utilize it as an important basis to make investment decision has become the hotspot of industrial and academic research. At present, there have been research and practice on explicit knowledge acquisition from news, but tacit knowledge acquisition is still under exploration. Based on the general mechanism of domain knowledge, knowledge reasoning, and knowledge discovery, this paper constructs a framework for discovering tacit knowledge from news and applying the knowledge to stock forecasting. The concrete work is as follows: First, according to the characteristics of financial field and the conceptual cube, the conceptual structure of industry–company–product is constructed, and the framework of domain ontology is put forward. Second, with the construction of financial field ontology, the financial news knowledge management framework is proposed. Besides, with the application of attributes in ontology and domain rules extracted from news text, the knowledge reasoning mechanism of financial news is constructed to achieve financial news knowledge discovery. Finally, news knowledge that reflects important information about stock changes is integrated into the traditional stock price forecasting model and the newly proposed model performs well in the empirical analysis of polyester industry.

Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Proportional Control ◽  
Fuzzy Pid Controller ◽  
Design Requirements ◽  
Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

Use of Knowledge Management Systems and the Impact on the Acquisition of Explicit Knowledge

2008 ◽  
Vol 22 (2) ◽  
pp. 77-101 ◽  
Author(s):  
Holli McCall ◽  
Vicky Arnold ◽  
Steve G. Sutton
Keyword(s):  
Knowledge Management ◽  
Problem Solving ◽  
Knowledge Acquisition ◽  
Reference Materials ◽  
Explicit Knowledge ◽  
Experimental Methodology ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Use Of Knowledge ◽  
The Impact

ABSTRACT: In an era where knowledge is increasingly seen as an organization's most valuable asset, many firms have implemented knowledge-management systems (KMS) in an effort to capture, store, and disseminate knowledge across the firm. Concerns have been raised, however, about the potential dependency of users on KMS and the related potential for decreases in knowledge acquisition and expertise development (Cole 1998; Alavi and Leidner 2001b; O'Leary 2002a). The purpose of this study, which is exploratory in nature, is to investigate whether using KMS embedded with explicit knowledge impacts novice decision makers' judgment performance and knowledge acquisition differently than using traditional reference materials (e.g., manuals, textbooks) to research and solve a problem. An experimental methodology is used to study the relative performance and explicit knowledge acquisition of 188 participants partitioned into two groups using either a KMS or traditional reference materials in problem solving. The study finds that KMS users outperform users of traditional reference materials when they have access to their respective systems/materials, but the users of traditional reference materials outperform KMS users when respective systems/materials are removed. While all users improve interpretive problem solving and encoding of definitions and rules, there are significant differences in knowledge acquisition between the two groups.

Research on the Character of a Synchronous Control System with Wireless Data Communication

2010 ◽  
Vol 455 ◽  
pp. 206-210
Author(s):  
Jun Li Liu ◽  
Yan Yan Yan ◽  
G.Q. He
Keyword(s):  
Control System ◽  
Time Delay ◽  
Data Transmission ◽  
Data Communication ◽  
Control Model ◽  
Data Loss ◽  
Wireless Data ◽  
Synchronous Control ◽  
Wireless Data Transmission ◽  
Set Up

It discusses the reasons of the data transmission time delay and packets loss based on the theory of net data transmission. Aimed to the question of the time delay of data transmission and packets loss, the control system models are set up to analyze their influence to the performance of the control system. Based on the synchronous control model analysis with wireless data transmission, a method to control the system is reached with the state prediction when the communication error or data loss appears. It can control constantly when communication errors appear, and also it can get the most error period by numerical analysis.

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