KR101442966B1 - The learning system using the fractal pattern recognition system, implemented in a computer system and recording medium. - Google Patents

Abstract

The present invention relates to a learning system using a fractal pattern recognition (FPR) system, implemented by a computer system, wherein the learning system forms a single system using an FPR structure, an FPR note, and FPR information input methods. The FPR structure is characterized in that a fractal pattern (FP) structure derived from fractal concepts and a position numbering system are combined with each other. The FPR note is characterized by being made to be used in a learning method and an information processing method by adding the FPR structure and a secondary information input space, The FPR information input methods are methods for inputting information to the FPR structure and the FPR note.

Description

TECHNICAL FIELD The present invention relates to a computer-implemented learning system using a fractal pattern recognition system and a computer-readable recording medium using the fractal pattern recognition system.

The present invention is a learning system and its learning system implemented through a computer. More specifically, if the existing information structure is a text-based 'sequential sequential structure' or a 'planar hierarchical information structure', 'fractal' The fractal pattern recognition (FPR) structure of the present invention derived from the concept of the present invention enhances the creativity, imagination, and the 'working memory' The present invention relates to a method of implementing a learning system employing a 'fractal three-dimensional image concept' as a learning system through a computer.

Fractal is a geometric phenomenon characterized by a self-similarity that resembles the whole, that is, a pattern in a pattern, characterized by infinite repetition in a finite space. Cantor dust, Koch snowflakes, Sierpinski triangles, Sierpinski carpets, Sierpinski Menger sponges are examples;

Lightning, clouds, and ferns, which are common in the natural world, are a good example of atypical fractal.

Since the establishment of the fractal geometry theory, the application scope of the existing fractal geometry has been applied to a wide range of research results by studying 'natural phenomenon and social phenomenon', but it has not yet been applied to human learning methods. to be.

In addition, the development of computers is an expression medium that can express things that exist only in human imagination; Textual images (2D, 3D, holograms), video and sound devices, etc., and we live in a world where we can easily get to the written material written by using these expression media. However, Sequential sequence structure '.

In addition, 'Hyper text', which opened up a new chapter of information acquisition to human beings, is an 'arbitrary hierarchical structure' in which the order is changed according to a link, The structure of the obtained information is likewise a 'sequential sequence structure'.

Therefore, there is a problem that 'short - term memory' is 'long - term memory' and 'working memory' is not activated due to weakness of 'withdrawal cues' in 'cognitive psychology' in information structure.

The recent trend of 'cognitive psychology' is led by 'information processing perspective'.

'Information processing theory' is analogous to the process of computer data processing, ie, input, manipulation, and computation of information.

The cognitive psychology in terms of information processing is based on the idea that human memory is divided into 'sense memory', 'short memory', 'long memory''And' working memory '.

The memory that plays a role in converting 'short-term memory' that came in through 'sensory memory' into 'long-term memory' is called 'working memory'.

In order to make the information 'long-term memory' in 'short-term memory', it is necessary to relate the repetitive act called 'rehearsal' and the concept and idea already remembered as 'encoding' Is the 'trail of memory' or 'withdrawal cue' that results from the 'working memory'.

"Working memory is the ability to constantly memorize information entered in my head and to solve problems by manipulating when needed. In other words, entering more than one at a time in your brain activates work memory. "

Therefore,

① The problem of applying fractal concept to human learning method,

② The 'information structure' of the 'document creator' created by the computer is 'sequential and sequential structure', and 'withdrawal cues' in cognitive psychology are weak in 'information structure' , The problem that 'working memory' is not activated,

③ The structure of the information obtained as a result of 'hyperlink' is also affected by the 'sequential and sequential structure', and the rate of 'short-term memory' becoming 'long-term memory' And there is a common problem that 'working memory' is not activated.

SUMMARY OF THE INVENTION The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to solve the above-mentioned problem (1) through a fractal structure (hereinafter referred to as a fractal pattern structure) capable of inputting and confirming information derived from a fractal concept However,

In addition, a number system having a periodicity (hereinafter referred to as a 'position designation number system') is assigned to a 'fractal pattern structure', so that a learner can intuitively recognize the position and relation of information, (Fractal Pattern Recognizing (FPR) structure), which enables a logical structure of information relation with a fractal structure (hereinafter, referred to as a fractal pattern recognition (FPR) structure) (Fractal Pattern Recognition) by using a 'learning system' using 'information input method' (hereinafter referred to as 'fractal pattern recognition (FPR) information input method').

단면도)에서 표현되는‘프랙탈패턴(FP;Fractal Pattern)구조’와,
As a means for solving the above-mentioned problems, the present invention has been developed to solve the above-mentioned problems,

(Fractal Pattern) structure expressed in a cross-sectional view)

단면도)와 같이 ‘위치지정번호체계’에 의해 번호가 부여된‘정보셀' 이라고 명명된 공간에 정보를 입력해 학습자가 정보의 ‘위치와 관계'를 직관적으로 인식할 수 있는 것을 특징으로 하는‘프랙탈 패턴인식(FPR; Fractal Pattern Recognizing)구조’와,
(Fig. 2, 100-unit FPR structure plan view

The location and the relation of the information can be intuitively recognized by inputting the information into the space named 'information cell' numbered by the 'position designation number system' Fractal Pattern Recognizing (FPR) structure,

A Fractal Pattern Recognizing (FPR) system including a 'Fractal Pattern Recognition (FPR) Information Input Method' characterized by determining the relationship of information to a 'Fractal Pattern Recognizing Structure' (FPR) In the learning system using the above-

단면도)의 형태에 한정된 것이 아니라 (도 4, 변형100단위 평면적FPR구조) 와 같이‘프랙탈 패턴인식(FPR)구조’ 개념을 지닌 경우를 포함하며,
The 'Fractal Pattern Recognizing (FPR) structure' (FIG. 2,

(FPR) structure as shown in FIG. 4, a modified 100-unit planar FPR structure) rather than a form of a fractal pattern recognition (FPR) structure,

And a 'Fractal Pattern Recognizing Note' (FPR) feature that is combined with an 'auxiliary information input space' which is an application for assisting 'Fractal Pattern Recognizing (FPR) structure'.

In addition, in implementing the 'learning system using the fractal pattern recognition (FPR) system' described above through a computer,

(FPR) GUI (Graphical User Interface) represented by an optional FPR note (hereinafter referred to as a 2D based UI; User Interface) and an automatic FPR note (hereinafter referred to as a 3D based UI; User Interface) Display; In other words, the components of the learning system that implements 'Fractal Pattern Recognition (FPR) System' on a computer based on 'FPR Note GUI' are as follows.

An 'input unit' 101 for receiving a learner's input signal; A 'central control unit' 104 receiving a signal from the 'input unit' and calling the desired information from the 'storage unit'102; An 'output unit' 105 for displaying an 'FPR note GUI' called from the above 'central control unit 104' on the screen; an 'output unit' 105 for displaying 'FPR note GUI' displayed on the ' A learning system 100 for implementing a 'fractal pattern recognition (FPR) system' on the basis of an 'FPR note GUI' including a 'document creation unit' 103 for performing a desired task through a ' In this case,

The 'storage unit' 102 described above,

A 'first storage unit' 102a storing '3D based UI' among 'FPR notebook GUI';

A 'second storage unit' 102b storing '2D based UI' among 'FPR notebook GUI';

And a 'third storage unit' 102c storing 'other 2D-based UI' among the 'FPR notebook GUI';

The above-described 'second storage unit'

An FPR A type 3D, 2D note 16a;

An FPR A type 3D and 2D note 16b;

An FPR A type 3D and 2D note 16c;

An FPR A type 3D, 2D note 16d;

An FPR A type 3D, 2D note 16e;

An FPR A type 3D, and a 2D note 16f,

The '3D-based UI' of the 'first storage unit' 102a is automatically implemented by the user's choice of stereoscopic appearance on the user client terminal display.

The 'third storage unit' 102c includes FPR notebooks having different forms as shown in FIG. 4, the modified FPR structure of 100-unit planes, and (FIGS. 17 and 18).

In addition, the 'central control unit' 104 may receive an 'FPR note GUI' according to the user's selection from the 'first storage unit', the 'second storage unit' and the 'third storage unit' And displays it on an 'output unit' (105).

Also, the 'document creation unit' 103 on the 'FPR note GUI' displayed on the 'output unit' 105 by the call of the 'central control unit' 104 through the user's input means, 'Fractal Pattern Recognition (FPR)', which is characterized by achieving the purpose of learning using 'FPR information input method (hierarchical input method, descriptive input method, descriptive core extraction input method, etc.)' It is a learning system that implements a learning system using a computer,

Also, a computer readable recording medium on which a program for executing a learning system for implementing a learning system using a fractal pattern recognition (FPR) system is provided.

Fractal Pattern Recognition (FPR) is a visual recognition tool that acts as a medium for information and can be 'planar or stereoscopic' depending on 'expression system and expression medium', but 'fractal pattern recognition (FPR) The structure of the information in the structure is the three-dimensional structure of the 'fractal pattern recognition (FPR) structure' to learn information by learning to 'space, location, information' Information-input structure 'of the' sequential hierarchical structure '.

(2) The 'information cell' of the number assigned to 'Fractal Pattern Recognition (FPR) structure', 'infinite overlapping hierarchical structure' combined with 'location number system''Position' plays a role of 'withdrawal cue' to process 'order and quantity' of information, so that the rate of 'short-term memory' becomes 'long-term memory' increases and increases the 'withdrawal rate' and 'withdrawal rate' .

도 13, 한자스토리텔링예2 참조)을 활용 시 발휘되는 상상력을 통하여 ’기억력과 창의력‘을 극대화시킬 수 있다.
(3) Using fractal pattern recognition (FPR) structure, which is an infinite overlapping hierarchical structure combined with a positional number system that features periodicity, the order of learning of language patterns such as Chinese characters and foreign language words ('Storytelling Technique') (Figure 12, Hanja Storytelling Example 1

Figure 13, Hanja Storytelling Example 2), maximizing 'memory and creativity' can be maximized through the imagination exercised.

④ According to 'information input method', 'upper concept and lower concept' can be distinguished, so analytical ability and associative ability are activated.

⑤ Learning through Fractal Pattern Recognition (FPR) structure can improve the 'working memory' ability by the learner participating in the learning independently, which has no limited scope to learn.

도 8, 목차)를 보면 한 권의 책 구조를 한눈에 볼 수 있다,‘프랙탈패턴인식(FPR)구조’를 이용하여 한 권의 책 구조를 한눈에 볼 수 있다는 것은‘좌뇌와 우뇌’를 동시에 작동시키기에 우리의‘기억력과 사고력’을 극대화시킬 수 있다,이는 퍼즐의 전체 그림을 미리 보고 맞추는 것과도 같은 것이며, 일반적인 책의 차례에서는 ‘단기기억’의 한계(대략 “7±2개”정도 라고 한다) 때문에 차례의 항목을 기억하기 힘드나 ‘프랙탈패턴인식(FPR)구조'에 담아 '시연(rehearsal)'과'약호화(encoding)'의 과정을 통하면‘단기기억’의 한계를 쉽게 극복할 수 있게 된다.
⑥ (Fig. 7, composition of book design

Figure 8, Table of Contents) shows a book structure at a glance. The ability to see a book structure at a glance using the 'fractal pattern recognition (FPR) structure' We can maximize our 'memory and thinking' to operate, which is the same as previewing and fitting the whole picture of the puzzle, and in the general book, the limit of "short-term memory" (approximately 7 ± 2 It is hard to remember the next item because it is difficult to memorize the items in the sequence, but it is easy to overcome the limit of 'short-term memory' through the process of 'rehearsal' and 'encoding' in 'fractal pattern recognition (FPR) structure' .

⑦ In addition, 'tree data structure' using a tree structure to efficiently manage hierarchical information types, 'fishbone diagram' to visualize hierarchical information types as causes and results, and 'plane hierarchical structure' , A good technique for organizing information.

However, the 'fractal pattern recognition (FPR) structure' of the present invention is a 'three-dimensional hierarchical structure' in which 'creativity imagination' is augmented, and 'short-term memory' working memory 'capability.

단면도이다.
제2도는 100단위FPR구조의 평면도

단면도이다.
제3a도는 변형 100단위FPR구조를 나타낸 개념 도이다.
제3b도는 정보의 가로 표기에 대한 개념도 이다.
제4도는 변형 평면적100단위FPR구조도 이다.
제5도는 ‘FPR A형3D,2D노트’를 활용하여 '책의 전체목차'를 구성한 예이다.
제6도는 ‘평면100단위FPR노트’를 활용하여 '책의 전체목차'를 구성한 예이다.
제7도는 ‘FPR A형3D,2D-5노트’를 활용하여 ‘계층적 입력방법’을 실시한 예이다.
제8도는 ‘FPR A형3D,2D노트’를 활용하여 ‘계층적 입력방법’을 실시한 예이다.
제9도는 ‘FPR A형3D,2D노트’를 활용하여 ‘서술적 입력방법’을 실시한 예이다.
제10도는 ‘FPR A형3D,2D노트’를 활용하여 ‘서술적 핵심추출입력방법’을 실시한 예이다.
제11도는 ‘FPR A형3D,2D-9노트’를 활용하여 ‘언어패턴’ 등에 활용한 예이다.
제12도는 ‘10단위FPR노트’를 활용하여 한자를 스토리텔링 한 예이다.
제13도는 ‘10단위FPR노트’를 활용하여 한자를 스토리텔링 한 예이다.
제14도‘FPR A형3D,2D노트’를 활용하여 ‘숫자패턴인식방법’을 실시한 예이 다.
제15도는 ‘10단위FPR노트’ 개념도 이다.
제16a도는 ‘FPR A형3D,2D노트’개념도 이다.
제16b도는 ‘FPR A형3D,2D-5노트’개념도 이다.
제16c도는 ‘FPR A형3D,2D-6노트’개념도 이다.
제16d도는 ‘FPR A형3D,2D-7노트’개념도 이다.
제16e도는 ‘FPR A형3D,2D-8노트’개념도 이다.
제16f도는 ‘FPR A형3D,2D-9노트’개념도 이다.
제17도는 ‘FPR A형3D노트’개념도 이다.
제18도는 ‘FPR A형2D노트’개념도 이다.
제19a도는 컴퓨터로 구현되는‘FPR노트GUI’를 기반으로 하는 학습시스템의 내부 구성을 보여주는 블록도 이다.
제19b도는‘제2저장부’에 저장되어있는 2D기반 인터페이스의 종류를 도시한 것이다.
제20도는 ‘FPR노트GUI’를 기반으로 하는 학습시스템의 동작과정을 도시한 순서도 이다.
1 is a plan view of a 100 unit FP structure

Sectional view.
2 is a plan view of a 100-unit FPR structure

Sectional view.
FIG. 3a is a conceptual diagram showing a modified 100-unit FPR structure.
Figure 3b is a conceptual diagram of the horizontal representation of information.
FIG. 4 is a modified planar 100-unit FPR structure diagram.
FIG. 5 is an example of a 'whole table of contents of a book' using 'FPR A-type 3D and 2D notes'.
Figure 6 is an example of the 'whole table of contents of a book' using 'flat 100 unit FPR notes'.
7 shows an example of a hierarchical input method using FPR A-type 3D and 2D-5 notes.
FIG. 8 is an example of a 'hierarchical input method' using FPR A-type 3D and 2D notes.
Figure 9 is an example of 'narrative input method' using 'FPR A 3D, 2D note'.
FIG. 10 is an example of a 'descriptive core extraction input method' using 'FPR A-type 3D and 2D notes'.
FIG. 11 is an example of utilizing 'FPR A type 3D and 2D-9 notes' for 'language pattern'.
12 shows an example of storytelling Chinese characters using '10 unit FPR notes'.
Figure 13 is an example of storytelling kanji using '10 unit FPR notes'.
FIG. 14 shows an example of a method of recognizing a number pattern using 'FPR A-type 3D and 2D notes'.
FIG. 15 is a conceptual diagram of a '10 unit FPR note'.
16A is a conceptual diagram of 'FPR A type 3D, 2D note'.
FIG. 16B is a conceptual diagram of 'FPR A type 3D, 2D-5 note'.
FIG. 16c is a conceptual diagram of 'FPR A type 3D, 2D-6 note'.
16D is a conceptual diagram of 'FPR A type 3D, 2D-7 note'.
FIG. 16E is a conceptual diagram of 'FPR A type 3D, 2D-8 note'.
16F is a conceptual diagram of 'FPR A type 3D, 2D-9 knot'.
FIG. 17 is a conceptual diagram of the 'FPR A type 3D note'.
FIG. 18 is a conceptual diagram of the 'FPR A type 2D note'.
FIG. 19A is a block diagram showing an internal configuration of a learning system based on an 'FPR notebook GUI' implemented by a computer. FIG.
FIG. 19B shows the kind of the 2D-based interface stored in the 'second storage unit'.
20 is a flowchart showing an operation process of a learning system based on an 'FPR note GUI'.

단면도)에서 표현되는 정보를 입력하고 확인할 수 있는‘프랙탈패턴(FP;Fractal Pattern)구조'와,
(Fig. 1, FP structure plan of 100 units derived from fractal concept

(Fractal Pattern) structure, which can input and confirm information expressed in a cross-sectional view,

단면도)과 같이 '위치지정번호체계'에 의해 번호가 부여된 '정보셀' 이라고 명명된 공간에 정보를 입력해 학습자가 정보의 '위치와 관계'를 직관적으로 인식할 수 있는 것을 특징으로 하는‘프랙탈패턴인식(FPR; Fractal Pattern Recognizing)구조’와,
(Fig. 2, 100-unit FPR structure plan view

The location and the relation of the information can be intuitively recognized by inputting the information in the space named 'information cell' which is numbered by the 'position designation number system' Fractal Pattern Recognizing (FPR) structure,

Fractal Pattern Recognizing Note (FPR) ', which is combined with' auxiliary information input space 'which is an application for assisting' fractal pattern recognition (FPR) structure '

Fractal Pattern Recognition (FPR), which forms a system with 'Fractal Pattern Recognition (FPR) Information Input Methods', which is characterized by determining the relationship of information to 'Fractal Pattern Recognizing Structure' Learning System using 'System';

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings and the accompanying drawings.

First, the structural form of the 3D Fractal Pattern Recognition (FPR) structure described above is that a 'one frame' having a fractal feature consisting of 'upper part 1' and 'lower part' It is an 'infinite overlapping hierarchical structure' that is characterized by a process of 'self-reproduction' with 'one frame' and 'sub-frame' and 'one larger frame'.

단면도)는 ‘프랙탈 패턴(FP)구조’(도 1, 100단위FP구조 평면도

단면도)와 ‘위치지정 번호체계’가 결합 된 것으로, ‘상위 1개’의 번호가 부여된 정보를 입력할 수 있는 공간과, ‘하위 9개’의 번호가 부여된 정보를 입력할 수 있는 공간을 ‘하나의 틀’로 하여, 프랙탈 적 특성을 지닌 ‘하나의 틀’이 다음 계층으로 ‘자기복제’되는 ‘무한중첩계층구조’를 나타낸 ‘개념도'로서‘100단위FPR구조'라 칭한다.
(Fig. 2, 100-unit FPR structure plan view

Sectional view) is a 'fractal pattern (FP) structure' (FIG. 1,

Sectional view) and a 'position designation number system', in which a space for inputting the information of the 'upper one' number and a space for inputting the information of the 'lower 9' Is referred to as a '100 unit FPR structure' as a 'conceptual diagram' representing 'an infinite overlapping hierarchical structure' in which 'one frame' with fractal characteristics is 'self-replicated' to the next layer.

Here, the 'one frame' having the fractal characteristic is referred to as a '10 unit FPR structure'.

The next layer is referred to as a '100 unit FPR structure'.

In addition, the next layer is called a '1000 unit FPR structure' (this is a structural classification name).

단면도)에서와 같이, 각 단위 계층은 ‘0(제로)정보 셀’ 을‘Layer 0(제로)' 로 하고, ‘Layer1’, ‘Layer2’, ‘Layer3’, ‘Layer4’...등으로 칭한다(이는 계층적 구분 명칭이다).Further, (Fig. 2, a 100-unit FPR structure plan view

Each layer is referred to as a Layer 0, a Layer 2, a Layer 3, a Layer 4, and so on, with a '0' information cell as 'Layer 0' (This is a hierarchical name).

This 'pattern in pattern' process corresponds to the amount of information.

In addition, a '10-unit FPR structure' of the 'upper one' constituting the '100 unit FPR structure' is referred to as a '0 (zero) FPR structure' as shown in FIG.

단면도),에 서와 같이 부여된 번호와 대응한 명칭을 사용한다.(예;‘10번FPR구조’,‘20번FPR구조’, ‘30번FPR구조’...등으로 부른다)
In addition, nine '10 unit FPR structures' under one '0 (zero) FPR structure' (FIG. 2,

(Eg, "10th FPR structure", "20th FPR structure", "30th FPR structure", etc.) are used as the names corresponding to the numbers assigned as in FIG.

These principles also correspond to repeated hierarchies.

Further, the numbered space is referred to as an 'information cell' in which information can be input.

Further, an 'information cell' above the '0 (zero) FPR structure' is referred to as a '0 (zero) information cell' for inputting a 'top concept'.

In addition, all the 'information cells' under the' 0 (zero) information cell 'use a name corresponding to the number assigned as' dependent cell' to input the concept of being dependent on the '0 (zero) (Eg, 'information cell 1', 'information cell 2', 'information cell 3', etc.)

Also, the name of 'information cell' is determined by 'information relation'.

More specifically, 'descriptive information relation' is classified into 'upper information cell' and 'lower information cell', and 'hierarchical information relation' refers to 'lower information cell' Information cell '.

Furthermore, '10 units in the lower (Fig. 8, the table of contents) from the "Table of Contents" as the input "0 (zero) FPR structure" of the "sub-information cell" information and "0 (zero) FPR structure" FPR structure " (Information cell represented by the same color) is referred to as a 'homogeneous information cell' as a 'homogeneous relation'. That is, 'information cell 10' plays the role of 'information cell 1' The 'information cell 20' plays the role of 'information cell 2'. This phenomenon is a phenomenon unique to the 'hierarchical input method' of the 'fractal pattern recognition (FPR) structure'.

Here, the meaning of the information input to the 'information cell' includes text, image, 2D, 3D, hologram, video, sound, hyperlink, and all 'expression media' that can be recognized by humans.

(Fig. 3A, modified 100-unit FPR structure) is referred to as a 'modified 100-unit FPR structure' in the 'Fractal Pattern Recognition (FPR) structure' as a form corresponding to a position change of '0 (zero) FPR structure'.

Further, the FPR structure (FIG. 4, a modified planar 100 unit FPR structure) is referred to as a modified planar FPR structure as another form of the fractal phenomenon.

In addition, the above-mentioned 'location-specific number system' is characterized in that the learner has a periodicity so that the learner can intuitively recognize the 'location and relation' of 'learning object' and 'information' The 'location' of the number assigned to the 'information cell' as the 'numbering system' represents the 'location and relationship' of the information (the numbers on the paper and display may or may not be visible)

도 3a

도 4 )에서와 같이 ‘위치지정번호체계’ 에 의해 부여된 ‘번호의 위치’가 곧 학습할 대상 및 정보의 ‘위치와 관계’를 나타내는 것을 특징으로 한다.The 'fractal pattern recognition (FPR) structure' having the above-mentioned numerical system and structure

Fig. 3A

4), the 'location of the number' assigned by the 'location numbering system' indicates the location and relation of the information to be learned and the information.

And, in addition, the 'location and relationship' of information is characterized by the role of 'retrieval cues' of memory.

In addition, 'position and relation' of information is 'fractal pattern recognition (FPR) structure' which is characterized by solving 'order and quantity' of learning object and information.

Next, 'Fractal Pattern Recognizing Note (FPR)' (hereinafter referred to as 'FPR Note'), which is combined with 'auxiliary information input space' for supporting 'fractal pattern recognition (FPR) structure' .

(FPR) structure as shown in FIGS. 16A, 16B, 16C, 16D, 16E and 16F (FPR A type 3D and 2D notes), and 'auxiliary information input space' Fractal Pattern Recognition (FPR) structure 'concept.

'Optional FPR notebook' (when implemented on a computer display, referred to as UI) and 'automatic FPR notebook' (when implemented on a computer display, 3D Based user interface (UI)).

In addition, the above-described 'optional FPR notes' are referred to as 'FPR A type 3D2D notes'.

In addition, 'FPR A type 3D and 2D notes' are designed in consideration of 'visual comfort', 'efficiency of information space' and 'retrieval cue' in memory, and '0 (zero) FPR structure' (See FIG. 16A), FPR A type 3D and 2D-5 notes (see FIG. 16B), and FPR A type 3D and 2D-6 notes FPR A type 3D, 2D-7 note (refer to FIG. 16D) "and" FPR A type 3D and 2D-8 notes " 16f).

In addition, the above-mentioned 3D and 2D mean a composite image form of 'three-dimensional and a plane', and a fractal and a three-dimensional form of 'fractal pattern recognition (FPR) structure' Pattern recognition (FPR) structure '.

Thus, it may be used by the user's desired selection, such as the type (Figure 17, FPR A type 3D note), (Figure 18, FPR A type 2D note) type.

The 'automatic type FPR notebook' is a 'FPR3D notebook' in which a stereoscopic appearance on a user client display is automatically implemented by a user's choice (3D based user interface; UI)

The following is a method of inputting information into the above-described 'fractal pattern recognition (FPR) structure' and 'FPR note'.

The above-described 'information input method' is determined by 'relation of information'.

Also, the relation of information is based on 'narrative relation' and 'hierarchical relation' which is classified as upper concept and lower concept.

More specifically,

① The method of inputting upper concept sub-concepts separately (hereinafter referred to as 'hierarchical input method'),

(2) Sub-concepts and sentences that are subordinate to higher-level concepts are input in a narrative order (hereinafter referred to as "narrative input method"),

③ In the sentence which is dependent on the upper concept, the core to be emphasized is input to the upper 'information cell' and the remaining contents are input to 'lower cell' by 'narrative order' Core extraction input method '(see FIG. 10, Creation Power Violation 2).

These three types of information input methods can be used according to the learner 's choice, and the input method for writing one document will be completed by using a complex method.

In addition, the 'information input method' is not limited to the above-described three information input methods, but may be applied to all input methods ('input FPR information') on a 'fractal pattern recognition (FPR) structure' Methods ").

The above is summarized as follows.

A 'Fractal Pattern Recognition (FPR) structure' and a 'Fractal Pattern Recognition (FPR) structure' each having a 'Fractal Pattern' structure and a ' FPR information "which is a method of inputting information in a 'FPR note', a 'fractal pattern recognition (FPR) structure' and an 'FPR note' Is a structure and concept of 'learning system' using 'fractal pattern recognition (FPR) system' which forms one system with '

Hereinafter, preferred embodiments of the present invention will be described with reference to the drawings so that those skilled in the art can understand the present invention.

15) (10-unit FPR3D note) is a '10-unit FPR note 'composed of one upper information cell and nine lower information cells, and the name between the' information cells' It depends on the relationship.

(도 13, 한자스토리텔링2)에서와 같이 표현하는 용도로 사용하거나, It is also difficult to express (Fig. 12, Chinese Storytelling 1) in terms of applications (Fig. 11,

(Fig. 13, Hanja Storytelling 2)

Use in situations where it is difficult to implement a 100-unit FPR notebook by the work environment (eg, a display space that is too small for a 100-unit FPR notebook to fit on a smartphone).

16A, the FPR A type 3D, 2D note) is an embodiment numbered by 'position designation number system' in 'FPR A type 3D, 2D note' The order of input and reading follows the number sequence.

However, this is a representation method in the vertical order, which is only an example for the practice of the present invention (Fig. 3B, horizontal notation), and the horizontal notation notation method may be used.

In addition, the 'information input space' hanging from the bottom line of the 'FPR notebook' is an example utilizing the 'deformable planar 100 unit FPR structure (refer to FIG. 4)' and called 'auxiliary information input space' Pattern Recognizing Structure 'as a complement to the information input.

In addition, the auxiliary information input space follows the FPR structure space writing method (if the FPR structure is a longitudinal writing method, vertically, horizontally, horizontally), but can be flexibly selected and input by the convenience of the user.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.

The preferred embodiment of the present invention (FIG. 5, the entire contents of the book) is an example in which the 'whole table of contents' part of the book is constructed in narrative order by using the 'FPR A type 3D2D notes'.

Uses and effects that appear,

The entire contents of the book can be grasped in a short time as described above (FIG. 5, the entire contents of the book).

In addition, when implemented in a computer, a hyperlink can be moved to a corresponding information cell, which saves time for searching for information.

(도 12, 한자 스토리텔링예1)

(도 13, 한자 스토리텔링예2 참조) In addition, even if the information is weakly related to each other, a new 'information relation' between the information can be created by using the 'descriptive information input method' in the 'fractal pattern recognition (FPR) structure' Memorization)

(Fig. 12, Hanja Storytelling Example 1)

(See Fig. 13, Hanja Storytelling Example 2)

(FIG. 6, modified 100 unit FPR note) according to the preferred embodiment of the present invention is a 'plane 100 unit FPR note' utilizing the 'modified planar 100 unit FPR structure' (see FIG. 4, (FIG. 5, FPR A type 3D2D note), the 'whole table of contents' part of the book is composed of 'descriptive order' according to 'narrative input method'.

For the preferred embodiment of the present invention (Fig. 7, the book designing of the book), the design of the book is classified into a hierarchical input method by classifying the upper concept and the lower concept in FPR A type 3D and 2D-5 notes Yes', and the composition of one book can be perceived intuitively.

In addition, the position of the added '0 (zero) FPR structure' makes the retrieval cues of memory stronger (ie, the learner adds a process of selecting which note to use when inputting information, Withdrawal clue ').

For a preferred embodiment of the present invention (Fig. 8, Table of Contents) Is an example of inputting information according to the 'hierarchical input method' by distinguishing the 'table of contents' part of the book design part from the 'FPR A type 3D, 2D note''Is used flexibly according to the user's convenience.

In addition, information of (8, table of contents) from the "Table of Contents" as the input "0 (zero) FPR structure" of the "sub-information cell" of information and '10 FPR unit structure "of the" parent information cell "means (the same color Information cell ") becomes a 'peer relationship'. That is, '10th information cell' plays the role of '1 information cell' and '20th information cell' plays the role of '2th information cell'. This phenomenon is caused by 'fractal pattern recognition ('Fractal Pattern Recognizing (FPR) Structure') is a unique phenomenon that occurs in 'hierarchical input method'. ('Descriptive core extraction input method' is shallow in layer, Layer) can be deepened to infinity corresponding to the amount of information)

The preferred embodiment of the present invention (FIG. 9, narrative input method example) is an embodiment in which the sentences of the book are inputted in the narrative order according to the 'narrative input method' in the 'FPR A type 3D2D notes'

The preferred embodiment of the present invention (FIG. 10, descriptive core extraction input method example) is described in the 'FPR A type 3D2D note' (FIG. 9, descriptive input method example) This is an example in which the same content is divided into the core that forms the sentence and the part that explains the core by the 'descriptive core extraction input method'.

The feature that appears in the 'descriptive core extraction input method' is that the 'flattened narrative' sentence has changed to the 'three-dimensional information structure' as shown in Fig. 9, narrative input method example.

Therefore, it can be seen that the input method is 'narrative input method', but 'information structure' is changed to 'three-dimensional information structure'.

In addition, as shown in FIG. 10, a description of the 'descriptive core extraction input method', the 'cubic information structure' has a feature of 'information of lower information cells' of '0 (zero) FPR structure' The information of the upper information cells of the '10-unit FPR structure' in the lower part of the 'information cell' (information cells represented by the same color) FPR) structure '(note that the depth of the layer is shallower than that of the' hierarchical input method '),

In addition, 'color and line' can be used to create a 'withdrawal cue' for memory.

For the preferred embodiment of the present invention (Fig. 11, accompanying character memorization), the input method which can be used for 'language pattern' such as kanji and foreign language words using 'kanji co-digits in FPR A type 3D, 2D- Yes.

When we learn a Chinese character or a foreign language word or image using the information cell of 'Fractal Pattern Recognition (FPR) Structure', the structure of information which does not appear in 'Planar descriptive information structure' is 'Fractal Pattern (FP) structure' A new 'relation' between each information is formed by the 'designated number system'.

In addition, it can be easily memorized by the principle of simultaneous left brain and right brain by FPR structure. This is because 'fractal pattern recognition (FPR) structure' plays a role of 'trail' or 'withdrawal cue' will be.

For the preferred embodiment of the present invention (Fig. 12, Hanja Storytelling Example 1) Quot;

In order to make the retrieval cues of memory stronger (Fig. 11, supplementary memorization), each character of 'lower information cell' of '0 (zero) FPR structure' marked with 'red'Yes'.

The Chinese character of '0 (zero) FPR structure' is arranged in the order of 'Fractal Pattern Recognition (FPR) structure' in the original text, and story information is related to each information of information cell in FPR structure.

The learner imagines reading in the order of the 'red' in the color below the letters

Namely, (1 刀;. Carl Chan 2. 人; 4. the mouth 力;; 3. 口 people the power to write 5. 大; 6. Click to spread a sense; beolrige and 7. 女; 8. a bitch 子; son 9. 土; he reads plays dwinggulmyeo on the dirt floor) imagine remembering the image of the location corresponding to the "About cell.

Imagining what has been storytelling helps improve memory.

In addition, you can study as you like, but you can also decorate your own story.

Therefore, storytelling uses intelligence, which is a very important factor in the cognitive process, and increases memory and creativity and activates 'working memory'.

Also, by embellishing your own story, you can practice 'subjective learning' instead of 'real learning'.

(Fig. 13, Hanja Storytelling Example 2) for the preferred embodiment of the present invention is a 10-unit FPR structure marked with " orange " A 'story' of each character in relation to each other, The same case as the above-described (Embodiment 10) follows.

That is, (1 hut surfaces; under acid 3. 小;; 2. 山 in a small hut is 4. 川; 5. 少 my flows from one side; die; a little lame 6. King; sapsap lame dog 7. 尸 8. the drinking water sapsali live (bar cut moth) to do; the cut bars On top of the 9. width ; A towel hanging; 10. a bow on the floor that the master lost; The bow calls the owner) and imagines the image according to the location corresponding to each information cell.

This application example can reconstruct 'random sequence illogical information' into 'logical information relation' by 'position' and 'stereoscopic structure' according to the number, and the scope of application corresponds to user 's creativity.

14) Numerical pattern recognition method of the present invention is an embodiment of a method of storing numbers by arranging numerals in 'FPR A type 3D, 2D note'

It would not be easy to memorize the numbers 1,3,9,5,7,8,2,4,6,0,10.

Because our short-term memory capacity is "about 7 ± 2".

Then, as described above (Fig. 14, numeral pattern recognition method) Wow As you can see in the 'FPR A 3D2D Notes', if you remember numbers 1, 3, 9, 5, 7, 8, 2, 4, 6 and 0,10, The reason for this effect is that learning by the fractal pattern recognition (FPR) structure itself is a pattern recognition method.

(도 8, 책의 목차) 을 보면 한 권의 책 구조를 한눈에 볼 수 있다, '프랙탈패턴인식(FPR)구조'를 이용하여 한 권의 책 구조를 한눈에 볼 수 있다는 것은 좌뇌와 우뇌를 동시에 작동시키기에 우리의 기억력과 사고력을 극대화 시킬 수 있다.
(Figure 7, configuration design of book)

(Fig. 8, table of contents of book) , We can see a book structure at a glance. Using a fractal pattern recognition (FPR) structure, we can see a book structure at a glance. Maximize thinking power.

Fractal Pattern Recognition (FPR), which is difficult to memorize, because of the limit of short-term memory (about "7 ± 2"), Structure ',' rehearsal 'and' encoding 'process can easily overcome the limit of' short-term memory '.

It is very important to remember the book's turn or table of contents.

Because the turn or table of contents implies the intention, claim and purpose of the author.

Nevertheless, I think that what was not discussed in the learning method has been almost impossible because of the limit of 'short - term memory'.

The difference between reading and not knowing the overall structure of a table of contents, order, or book appears as a difference in the outcome.

Thus, the learning method and the information processing method through the 'fractal pattern recognition (FPR) structure system' are the 'recognition structure system' which has a concept that is distinct from the existing learning method information processing method.

The above is a detailed description of a learning system using a fractal pattern recognition (FPR) system, and hereinafter, a learning system for implementing a learning system using a fractal pattern recognition (FPR) system by a computer.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. In the following description of the exemplary embodiments of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

(FIG. 19A) is a block diagram showing an internal configuration of a learning system using a 'fractal pattern recognition (FPR) system' implemented by a computer using an image according to an embodiment of the present invention.

A learning system 100 using a computer-implemented 'Fractional Pattern Recognition (FPR) system' as shown in FIG. 19A includes an input unit 101, a storage unit 102, a document creation unit 103 ',' central control unit 104 ',' output unit 105 'and' storage processing unit (not shown) '.

The 'input unit' 101 is a device for receiving a request from a user, and is any input means (a mouse, a touch screen, an electronic pen, a touch pad, or the like) capable of inputting data into a computer.

The 'storage unit' 102 described above,

A 'first storage unit' 102a storing '3D based UI' among 'FPR notebook GUI';

A 'second storage unit' 102b storing '2D based UI' among 'FPR notebook GUI';

And a 'third storage unit' 102c storing 'other 2D-based UI' among the 'FPR notebook GUI';

The above-described 'second storage unit'

An FPR A type 3D, 2D note 16a (see Fig. 16A);

An FPR A type 3D, 2D note 16b (see Fig. 16b);

An FPR A type 3D, 2D note 16c (see Fig. 16c);

An FPR A type 3D, 2D note 16d (see Fig. 16d);

An FPR A type 3D, 2D note 16e (see FIG. 16E);

And an FPR A type 3D, 2D note 16f (see Fig. 16f).

The '3D-based UI' of the 'first storage unit' 102a is automatically realized in three dimensions on the '2D based UI' on the user client display.

(도 17, 도 18)에서와 같이 형태가 다른 FPR노트들이 저장된 것을 포함한다.
The 'third storage unit' 102c (FIG. 4, FPR structure of 100-unit modified plane)

(FIG. 17, FIG. 18).

The 'storage unit' 102 described above also includes storing a document that is being created or completed.

In addition, the 'central control unit' 104 may receive an 'FPR note GUI' according to the user's selection from the 'first storage unit', the 'second storage unit' and the 'third storage unit' , And displays it on an 'output unit' (105). The user performs overall processes necessary for document creation and document creation.

Also, the 'document creation unit' 103 on the 'FPR note GUI' displayed on the 'output unit' 105 by the call of the 'central control unit' 104 through the user's input means, And the object of learning is achieved by using the 'FPR information input methods'

More specifically, the 'document creation unit' 103 includes a 'FPR note GUI' part and a user interface (UI) (not shown) for generating and transmitting a command necessary for document creation. A known technique is used, and the description thereof is omitted here.

(Fig. 5, the entire contents of the book) And is generated and output by a descriptive input method among 'FPR information input methods'.

In addition, (Fig. 6, modified 100-unit FPR note) is a 'plane 100-unit FPR note' utilizing 'deformed planar 100 unit FPR structure' (see FIG. 4, modified planar 100 unit FPR structure) A type 3D and 2D note), the 'whole table of contents' part of the book is composed of 'descriptive order' according to 'narrative input method'.

In addition, (Fig. 7, the constitution design of the book) is an example of designing a book structure as a 'hierarchical input method' by distinguishing upper and lower concepts in FPR A type 3D and 2D-5 notes.

In addition, (Fig. 10, an example of a descriptive key extraction input method) is shown in the 'FPR A type 3D, 2D note' (Fig. 9, narrative input method example) This is an example in which the same content is divided into the core that forms the sentence and the part that explains the core by the 'descriptive core extraction input method'.

Further, details will become more apparent with reference to the above-described embodiments.

In addition, the above-mentioned 'output unit' 105 includes all the peripheral devices (display, printer, speaker, etc.) for outputting the content of the created document and the document.

Hereinafter, the operation of the learning system based on the 'FPR note GUI' as described above will be described in detail with reference to the accompanying drawings.

(FIG. 20) is a flowchart showing an operation process of a learning system based on an 'FPR note GUI' according to a preferred embodiment of the present invention.

First, when the learning system 100 based on the 'FPR note GUI' executes the learning system, the 'FPR note GUI' is selected through the user input means (step S110)

Then, the 'FPR note GUI' selected by the learner is displayed in the 'output unit' 105 by the call of the central control unit 104 (step S120).

Then, on the 'FPR note GUI' displayed on the 'output unit' 105, the learner can achieve the purpose of learning using 'FPR information input methods' through the user's input means in the 'document creation unit' .

Thereafter, when a completion signal indicating completion of document creation is input from the learner through the 'input unit' 101, the document having been edited and created by the learning system 100 based on the 'FPR note GUI' (Step S140). At this time, the learning system 100 based on the 'FPR note GUI' can receive the name of a document that has been edited and created through the 'input unit' 101.

In the foregoing, certain preferred embodiments of the present invention have been shown and described. However, it should be understood that the present invention is not limited to the above-described embodiments, and various modifications may be made by those skilled in the art without departing from the technical idea of the present invention.

① After the establishment of 'Fractal Geometry Theory', the existing 'Fractan Geometry' has been limited to the field of utilizing the results of research by studying 'natural phenomenon and social phenomenon'. However, To the human perception method.

(2) As described in (Effect of Invention), when using the storytelling technique in the 'Fractal Pattern Recognition (FPR) structure' for language pattern education such as kanji and English, it has an excellent effect on memory and creativity. will be.

(3) The concept of the present invention will be a useful technique in 'Information Technology (IT)' based on publications, 3D ebooks, application production, and GUI.

100 ... " Fractal pattern recognition (FPR) system " 101 ... input unit
A computer-implemented learning system
102 ... storage unit 103 ... document creation unit
104 ... central control unit 105 ... output unit
102a ... First storage unit
102b ... Second storage unit 102c ... Third storage unit

16a ... 'FPR A type 3D, 2D note' 16b ... 'FPR A type 3D, 2D-5 note'
16c ... 'FPR A type 3D, 2D-6 note' 16d ... 'FPR A type 3D, 2D-7 note'
16e ... 'FPR A type 3D, 2D-8 note' 16f ... 'FPR A type 3D, 2D-9 note'

Claims (7)

A computer system for implementing an information recognition system using a unit fractal information input structure composed of an upper information cell having one information input surface and a lower information cell having nine information input surfaces,

Wherein the unit fractal information input structure is extended and added to a lower layer by the number of lower information cells corresponding to an information input amount,

The information input to the lower information cell in the unit fractal information input structure of the upper layer corresponds to the upper information cell of the unit fractal information input structure of the next lower layer,

The position of the unit fractal information input structure of the next lower layer is determined according to the number assigned to the lower information cell of the unit fractal information input structure of the upper layer, so that a unit fractal information input A Computer System Implementing Information Recognition System Using Structure.
The method according to claim 1,
Wherein the information input to the information cells implements an information recognition system using a unit fractal information input structure in which a user recognizes information according to the order of numbers assigned to the information cells.
A computer-readable recording medium recording a program for causing an information recognition system using a unit fractal information input structure according to any one of claims 1 to 2 to be executed in a computer system.



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