Research on Key Technology in Remote Education System of Spirit Diagnosing by Eye in TCM

2014 ◽  
pp. 100-111
Author(s):  
Feng Guo ◽  
Shaozi Li ◽  
Ying Dai ◽  
Changle Zhou ◽  
Ying Lin
Keyword(s):  
Education System ◽  
High Performance ◽  
Cloud Model ◽  
Feature Space ◽  
Remote Education ◽  
Key Technology ◽  
Rule Pruning ◽  
General Physical ◽  
Condition State ◽  
Human Eyes

Spirit diagnosing is an important theory in TCM (Traditional Chinese Medicine), by which a TCM doctor can diagnose a patient’s body state. But this theory is complicated and difficult to master simply learned from books. To further the theory and skill of spirit diagnosing, in this paper, the authors propose a remote education system that can accept videos from a user and give the user an auto-diagnosed spirit. The key technology in this system is eye feature computation in spirit diagnosing, for which rules describing “the spirit” (spirit in TCM refers to the human’s mental state which reflects the one’s general physical condition) state are mined by the quantitative features regarding the human eyes. With videos capturing eye condition during a short period, a set of eye features are extracted. On this basis, attribute intervals of the eye feature space is generated by CAIM (class-attribute interdependence maximization). Several of the candidate rules are then mined by the association rule based on the cloud model. Finally, three complementary rule-pruning methods are modified and combined to trim the candidate rules. The cross validation test for mined rules has an average accuracy of 93%, which shows the high performance of the proposed method.

Research on Key Technology in Remote Education System of Spirit Diagnosing by Eye in TCM

2011 ◽  
Vol 9 (1) ◽  
pp. 101-113 ◽  
Author(s):  
Feng Guo ◽  
Shaozi Li ◽  
Ying Dai ◽  
Changle Zhou ◽  
Ying Lin
Keyword(s):  
Education System ◽  
High Performance ◽  
Cloud Model ◽  
Feature Space ◽  
Remote Education ◽  
Key Technology ◽  
Average Accuracy ◽  
Short Period ◽  
Rule Pruning ◽  
General Physical

Spirit diagnosing is an important theory in TCM (Traditional Chinese Medicine), by which a TCM doctor can diagnose a patient’s body state. But this theory is complicated and difficult to master simply learned from books. To further the theory and skill of spirit diagnosing, in this paper, the authors propose a remote education system that can accept videos from a user and give the user an auto-diagnosed spirit. The key technology in this system is eye feature computation in spirit diagnosing, for which rules describing “the spirit” (spirit in TCM refers to the human’s mental state which reflects the one’s general physical condition) state are mined by the quantitative features regarding the human eyes. With videos capturing eye condition during a short period, a set of eye features are extracted. On this basis, attribute intervals of the eye feature space is generated by CAIM (class-attribute interdependence maximization). Several of the candidate rules are then mined by the association rule based on the cloud model. Finally, three complementary rule-pruning methods are modified and combined to trim the candidate rules. The cross validation test for mined rules has an average accuracy of 93%, which shows the high performance of the proposed method.

Video Feedback in Learning Beginning Trampoline

1971 ◽  
Vol 32 (2) ◽  
pp. 669-670 ◽  
Author(s):  
Pamela E. James
Keyword(s):  
Visual Feedback ◽  
High Performance ◽  
Verbal Ability ◽  
Video Feedback ◽  
Video Tape ◽  
Vocabulary Test ◽  
Performance Score ◽  
Group V ◽  
Test Form ◽  
General Physical

This study explored (i) the effect of visual feedback (supplied by video-tape) compared with verbal feedback in learning beginning trampoline; (ii) the effect of verbal ability on Ss' interpretation of feedback. 18 11 to 12-yr.-old boys were assigned to 2 groups: Group V (visual), N = 8; Group NV (non-visual), N = 10, matched for performance on beginning trampoline, general physical ability, and verbal ability as measured by the Mill-Hill Vocabulary Test, Form 1, Junior (1948). Results showed some superiority of Group V over Group NV (p > .05). However, Ss at all levels of verbal ability benefitted from visual feedback, while only Ss in Group NV with high verbal ability achieved a high performance score (r = 0.6, p < 0.05).

Study on the Coating of Lost Foam Casting for Steel Casting

2013 ◽  
Vol 680 ◽  
pp. 267-270
Author(s):  
Zhi Ming Liu ◽  
Yan Liu ◽  
De Hui Liu
Keyword(s):  
Steel Casting ◽  
High Performance ◽  
Lost Foam Casting ◽  
Sodium Bentonite ◽  
Key Technology ◽  
High Performance Coating ◽  
Refractory Aggregate ◽  
Lost Foam ◽  
Optimal Formula

The coating is one key technology of lost foam casting (LFC). This paper discussed the influences of refractory aggregate contents on strength, viscosity and other performances of LFC coating, and develops a high performance coating which can meet the requirement of LFC for steel casting. The results shown that with the content of the high bauxite increasing and the content of zircon powders decreasing, the strength, permeability and attached quantity of the coating increased. The best ratio of refractory aggregate is 70% high bauxite and 30% zircon powders. The optimal formula in the experiments is 70% high bauxite, 30% zircon powders, 3% sodium bentonite, 0.5% CMC and 5% ludox. This coating has good comprehensive performances to meet the requirements of LFC steel casting.

Influence of the Peculiarities of the Development of the Education System in the Tula Region on the Formation of High-Performance Labor Resources in the Context of Modern Challenges

2021 ◽  
pp. 57-63
Author(s):  
T. Pastuh ◽  
N. Zhukova ◽  
Andrey Shishkin
Keyword(s):  
Higher Education ◽  
Education System ◽  
High Performance ◽  
Highly Qualified ◽  
Higher Education System ◽  
Market Structures ◽  
Role Of The State ◽  
Qualified Personnel ◽  
Labor Resources ◽  
The Individual

The article describes the individual components of higher education in the Tula region. The questions concerning the role of the state in the formation of the general educational vector and the degree of its influence on the training of highly qualified personnel are considered. The analysis of some statistical data characterizing the higher education system of the Tula region is carried out. The article proves the relationship between the higher education system and the prospects for the development of the labor market in the Tula region. The limitations that may affect the nature of interaction between market structures and the education system are identified. The prospects of interaction between educational and market structures for the formation of competitive labor resources in the cancers of the Tula region are formulated.

Feature Extraction of Video Using Artificial Neural Network

2017 ◽  
Vol 11 (2) ◽  
pp. 25-40 ◽  
Author(s):  
Yoshihiro Hayakawa ◽  
Takanori Oonuma ◽  
Hideyuki Kobayashi ◽  
Akiko Takahashi ◽  
Shinji Chiba ◽  
...  
Keyword(s):  
Neural Networks ◽  
Feature Extraction ◽  
Image Recognition ◽  
High Performance ◽  
Feature Space ◽  
Middle Layer ◽  
Image Feature ◽  
Consecutive Series ◽  
Form Analysis ◽  
Low Dimensional

In deep neural networks, which have been gaining attention in recent years, the features of input images are expressed in a middle layer. Using the information on this feature layer, high performance can be demonstrated in the image recognition field. In the present study, we achieve image recognition, without using convolutional neural networks or sparse coding, through an image feature extraction function obtained when identity mapping learning is applied to sandglass-style feed-forward neural networks. In sports form analysis, for example, a state trajectory is mapped in a low-dimensional feature space based on a consecutive series of actions. Here, we discuss ideas related to image analysis by applying the above method.

LEARNING SOLUTIONS WITH CLOUD TECHNOLOGIES

2016 ◽  
Vol 78 (6-3) ◽  
Author(s):  
Tatiana Zudilova ◽  
Svetlana Odinochkina ◽  
Victor Prygun
Keyword(s):  
High Performance ◽  
Cloud Model ◽  
Private Cloud ◽  
New Approach ◽  
Storage Devices ◽  
Training Courses ◽  
Ict Training ◽  
Cloud Technologies ◽  
Programming Courses ◽  
Performance Computing

This paper presents a new approach to the organization of ICT training courses on the basis of the designed and developed a private training cloud prototype. The developed prototype was built on the Microsoft System Center 2012 resources, which allowed consolidating high-performance computing tools, combined different classes of storage devices and provided these resources on demand. We describe the implementation of SaaS private cloud model for ICT user courses and PaaS model - for ICT programming courses.

scholarly journals FEATURES OF ORGANIZATION OF GENERAL PHYSICAL PREPARATION IN LESSON AND EXTRACURRICULAR ACTIVITIES

2021 ◽  
pp. 47-53
Keyword(s):  
Physical Fitness ◽  
General Education ◽  
Extracurricular Activities ◽  
Education System ◽  
Physical Development ◽  
Educational Process ◽  
Personal Approach ◽  
General Physical ◽  
Physical Preparation ◽  
Development Of Students

The article highlights the important factors of general physical fitness in the general education system, maintaining the health of students in class and extracurricular activities, their physical development. Within the framework of solidarity of educational and extracurricular activities of students and teachers, views were expressed on the constant monitoring of physical development of students in the educational process, adherence to the principles of individual and personal approach, creating psychological comfort in shaping and increasing motivation in students. The author used the methods of analysis, comparison, generalization, conversation in solving the tasks and testing the hypothesis.

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