KR102031328B1 - Studying Room Management System With KIOSK - Google Patents

Abstract

According to the present invention, an unmanned study room management system using a kiosk comprises: a kiosk terminal including a communication unit connected to a network server through at least one of wired and wireless communication and a touch screen display; and a controller including a member registration module for receiving member information from a learner, a seat guide module, a learning start module and a seat return module. The seat guide module includes a use request unit receiving use request information from the learner through the kiosk terminal. The learning start module includes: a learning time input unit receiving a learning time from the learner; a payment unit receiving a fee for use from the learner; and a learning start unit activating the learner into a study room use state from the point of the payment of the fee. The seat return module includes a learning completion unit which changes the learner into a non-use state in accordance with the expiration of the learning time. The present invention increases convenience in selecting a seat.

Description

Unmanned reading room management system using kiosk {Studying Room Management System With KIOSK}

The present invention relates to an unmanned reading room management system using a kiosk, and more particularly, it is possible to manage the access state of a user unattended using a kiosk, and to increase the user's convenience of using the reading room and increase the learning effect. The present invention relates to an unmanned reading room management system using a kiosk to provide additional functions.

In general, a reading room means a place or a partitioned space used by students or examinees to study.

Such a reading room is generally divided into spaces around a desk so as not to interfere with each other, and in recent years, a case in which a single room or a plurality of desks is separated into a single space has been increased.

Specifically, the reading room made of a room type has a door that can be accessed in a closed fixed space and includes a desk, a chair, a storage cabinet, or a lighting device therein.

Conventionally, a manager has a management room that manages access to allow a quiet and efficient learning of a reading room, and a manager checks and manages access conditions of users. Recently, however, reading rooms have been created that can use kiosks to check and manage access status unattended.

Kiosk originated from the Persian word k㎀shk, which means palace, and was influenced by the Turkish language, k 코 k, to reach its present name. These kiosks are either open front buildings or small box shops with open fronts.

However, the current kiosk refers to an interactive kiosk, which means a small installed digital terminal with a touch panel. It can perform various functions as an unmanned information terminal installed in public places such as government agencies, local governments, banks, department stores and exhibition halls. For example, providing dynamic traffic information, providing public transportation information, route guidance, fare information, card distribution, reservation and ticketing, telephone and address information, administrative procedures or product information, how to use the facilities, Information is provided through a touch panel on which a display is implemented.

Basically, the kiosk is a medium that not only provides graphic information based on the display but also provides sound information through the speaker and the communication network so that the information can be provided through the communication network. can do.

As such, as a prior art for an unmanned reading room using a kiosk or the like, Korean Unexamined Patent Publication No. 10-1923988 discloses an 'unmanned reading room management method'. The present invention relates to an unmanned reading room management method that can be managed and managed unattended from the time of reservation of the reading room to the end of the reservation time, and further ensures the safety necessary for unattended management for 24 hours, by subscribing to a customer terminal number. It is effective to increase convenience, usability and accessibility of membership registration, and it is possible to provide a suitable reservation service according to the situation by selecting various reservation methods, and to induce payment promptly through coupon payment method. To improve the utilization.

However, the present invention is only a configuration using a user's personal mobile phone rather than a kiosk, and the effect of increasing the learning convenience and learning effect of the reading room management and the user using the kiosk seems to be insignificant.

Therefore, unmanned reading room management using a kiosk that can provide an additional function to increase the user's ease of use and increase the learning effect while being able to manage the access state of the user unattended using the kiosk. It is time to develop a system.

The present invention has been made to overcome the problems of the above technology, and can be used to manage the access state of the user unattended by using the kiosk, at the same time to increase the ease of use of the user using the reading room and increase the learning effect The main objective is to provide an unmanned reading room management system using a kiosk that can provide functions.

Another object of the present invention is to increase the convenience of seat selection by allowing a user to easily check whether the use state of the reading room individual seat is active.

Another object of the present invention is to enable two-way communication between the kiosk terminal and the user's mobile phone to prevent unauthorized persons from occupying the seat other than the person who paid for the usage fee.

It is a further object of the present invention to provide information related to learning while guiding the remaining time through a terminal arranged in a seat.

A further object of the present invention is to enhance the learning effect by analyzing the educational books being used by the user to generate the learning keywords, and providing the learning keywords for the books according to the user's book scanning.

In order to achieve the above object, the unmanned reading room management system using a kiosk according to the present invention, a kiosk terminal including a communication unit and a touch screen display connected to the network server through at least one of wired and wireless; and a member from the learner A seat guide module including a member registration module for receiving information, a use request unit for receiving use request information from the learner through the kiosk terminal, a learning time input unit for receiving a learning time from the learner, and the learner from the learner A learning start module including a fee payment unit for receiving a fee for use and a learning start unit for actively processing the learner to a use state from the time of use of the fee; And a controller including a seat return module including a learning completion unit configured to change and process the learner into a non-use state according to the expiration of the learning time.

In addition, the controller may include a seat catching unit for determining a position of all seats included in a reading room and whether each of the seats is in an active state, and the positions of the whole seats and the seats based on a drawing of the reading room previously input. The apparatus further includes a seat grasping module including a seat guide for generating a table of use states of the use state of the use state, wherein the seat guide module provides the use state screen to the kiosk terminal according to the use request information input. It further comprises a status guide unit for outputting, The learning start module, The kiosk terminal further comprises a seat selection unit for selecting any one of the seats from the learner, The learning start unit, according to the payment fee Actively process the selected seat in the use state, the learning completion unit, according to the learning time expires Is selected to the seat it characterized in that the process changes to the non-use state.

The seat return module may further include a departure input unit configured to receive departure request information from the learner via the kiosk terminal, and the seat return unit may include at least one of the expiration of the learning time and the departure request information input. Accordingly, the seat selected by the learner may be changed into an unused state.

In addition, the reading room is disposed in each of the seats, and further includes a guide terminal including an input means including a camera, and an output means including a display,

The member registration module receives member information including the learner's mobile phone number, and the learning start module generates a code for generating a use code for the seat as the seat selection is completed, and the learner. And a code sending unit for sending and processing the use code to the mobile phone, wherein the learning start unit is configured to activate the selected seat in a use state according to the use fee payment and the use code scanning process through the input means. The exit input unit may receive the exit request information from the learner through at least one of the kiosk terminal and the mobile phone.

According to the unmanned reading room management system using a kiosk according to the present invention,

1) Unmanned reading room management using kiosks that can provide the user with unattended management of kiosks and at the same time provide additional functions that enhance the user's convenience and increase learning effects. Provided the system,

2) In addition to improving the convenience of seat selection by allowing the user to easily check whether or not the usage status for the individual seats of the reading room is active,

3) By enabling two-way communication between the kiosk terminal and the user's mobile phone, it is possible to prevent unauthorized possession of the seat by anyone other than the person who paid the usage fee.

4) Through the terminal arranged in the seat to guide the remaining time and at the same time to provide the learning-related materials,

4) The learning effect is increased by analyzing and processing the educational books that the user is using, and providing the learning keywords for the books according to the user's book scanning.

1 is a conceptual diagram showing a kiosk terminal disposed in the reading room of the present invention.
2 is a conceptual diagram showing the overall configuration of an unmanned reading room management system using a kiosk of the present invention.
Figure 3 is a conceptual diagram showing an example of the use status screen of the present invention.
4 is a conceptual diagram illustrating a seat and a guide terminal of the present invention.
5 is a graph showing the likelihood function of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings. The accompanying drawings are not drawn to scale, and like reference numerals in each of the drawings refer to like elements.

1 is a conceptual diagram illustrating a kiosk terminal of the present invention.

First, the kiosk terminal 1 of the present invention will be described with reference to FIG. 1. The kiosk terminal 1 is basically an installed type digital terminal having a predetermined width as installed in a reading room and basically includes a touch screen display 11. The kiosk terminal 1 should basically be capable of wired or wireless communication. For this purpose, the kiosk terminal 1 should basically include a communication unit 10. In addition, for communication, a separate server may be provided in a reading room in which the kiosk terminal 1 is provided, and the kiosk terminal 1 may be wired or wirelessly connected to the corresponding server. Alternatively, in addition to a wired connection, communication with the server may be performed through various communication means and methods such as Bluetooth, Wi-Fi, beacon, and NFC based on a communication network, or may be connected to an internet communication network through a wired connection. As such, the kiosk terminal 1 should be connected to a network server based on wired and wireless communication.

In addition, the kiosk terminal 1 should basically perform a function of transmitting information to the learner 2 (a user who is a user who uses a reading room in the present invention as the learner 2). By performing the functions of the input unit and the output unit at the same time, the learner 2 can provide necessary information to the learner 2 through the touch screen display 11.

In addition, the kiosk terminal 1 may be provided with a payment means such as a card reader, so that the fee for using the reading room can be paid through the kiosk terminal 1, as well as the kiosk terminal 1. Various mechanical elements can be included in the kiosk terminal 1 of the present invention.

2 is a conceptual diagram showing the overall configuration of the unmanned reading room management system using a kiosk of the present invention, Figure 3 is a conceptual diagram showing an example of the use screen 4 of the present invention.

Referring to FIGS. 2 and 3 together with FIG. 1, the kiosk terminal 1 of the present invention may have a configuration of a controller 5 that performs a function of controlling the operation of the terminal and processing information. . The controller 5 may be closely connected to the server provided in the reading room, that is, the server PC to perform bidirectional communication, process information received from the learner 2, and output information to be output to the learner 2. It can play an overall management role created and provided. Such a controller 5 may be mounted inside the kiosk terminal 1 basically. However, the controller 5 may also be installed separately from the kiosk terminal 1 in the reading room. The controller 5 basically includes a CPU and the like.

At this time, the controller 5 of the present invention generates information on the use of the reading room and receives information from the learner 2, and based on the learner 2, characterized in that it is possible to determine the access state of the learner 2 to the reading room. To this end, the controller 5 basically includes a member registration module 100, a seat guide module 200, a learning start module 300, and a seat return module 400.

Member registration module 100 receives the member information from the learner (2), basically the member information including the mobile phone (3) number of the learner (2) using the touch screen of the kiosk terminal (1) Receive input. In this process, the identification number may be sent to the mobile phone 3 possessed by the learner 2 for identification, and the authentication number may be input to the kiosk terminal 1 to perform the identity verification process.

The seat guide module 200 basically receives the use request information for the reading room from the learner 2 through the kiosk terminal 1 including the use request unit 210. At this time, the use request information includes information on what kind of seat 40 is to be used when there are several types of seats 40 in the corresponding reading room as well as a simple use request for the reading room. It includes. In addition, as will be described later, it is also possible to guide the seat 40 disposed in the reading room through the seat guide module 200 and to select a specific seat 40 from the learner 2.

The learning start module 300 includes a learning time input unit 310, a rate payment unit 320, and a learning start unit 330 to set a reading room use time, set a fee, and use a state 41 active processing. do.

The learning time input unit 310 performs a function of receiving a time from which the learner 2 wants to perform learning, that is, a learning time that is a use time for the reading room. In this case, the learning time may be a time unit such as 1 hour, 2 hours, 5 hours, or may be a daily unit such as 1 day, 2 days, 15 days, 30 days, or the like. In this case, the learning time input may also be made through the touch screen display 11 of the kiosk terminal 1. In this case, the learning time may be directly input or the system administrator may select one of the preset time units from the learner 2.

The bill payment unit 320 performs a function of receiving a usage fee according to a learning time set from the learner 2, and the fee payment may also be made through the kiosk terminal 1. In the case of bill payment, various methods such as cash, card, or micro payment using the mobile phone 3 may be applied.

The learning starter 330 regards the learning to be started from the time of payment according to the payment of the fee by the learner 2, and the use state 41 for the reading room which describes the learner 2 for the preset learning time. As an active treatment. That is, during this time, the learner 2 obtains the authority to perform the learning in the seat 40 arranged in the reading room, and the controller 5 included in the kiosk terminal 1 uses the corresponding learner 2. The status 41 active process is recorded to record and grasp at which point learning began. At this time, the use state 41 activation process may be a simple use time counting, and when the learner 2 selects and uses a specific seat 40, the use state 41 activation processing and use time for the corresponding seat 40 may be performed. It may also be counting.

Lastly, the seat return module 400 is set as the learning time set for the learner 2 expires, that is, as the learning time inputted from the point of use payment has elapsed (if 1 hour, after 1 hour, 5 hours) 5 hours later, or after the opening of the reading room, the learning completion unit 410 basically includes a learning completion unit 410 for inactivating and changing the learner 2 to the non-using room of the reading room 42. That is, when the learning time ends or the operating time of the reading room ends, it is determined that the use of the reading room of the learner 2 has expired and the process is changed to the non-use state 42.

Furthermore, as shown in FIG. 3, when the positional information of each seat 40 disposed in the reading room is tabulated based on the drawing of the reading room in which the kiosk terminal 1 of the present invention is installed, the learner 2 selects the specific seat 40. ) Can be assigned and the access state based on the seat 40 and the use state (41) can be enabled, change the non-use state (42).

To this end, the controller 5 may basically further include a seat catching module 500, and the seat catching module 500 basically includes a seat catching unit 510 and a table generating unit 520 of FIG. 3. The same use status screen 4 can be created and managed.

The seat catching unit 510 determines the position of the entire seat 40 included in the reading room and whether the use state 41 of each of the seats 40 is active based on the drawing of the reading room. That is, when the seat 40 is selected by the plurality of learners 2 using the reading room through the learning start unit 330 which will be described later and is activated in the use state 41, it is determined which seat 40 is used. It is to determine which seat 40 is being used. In this case, a serial number may be assigned to each of the seats 40, and an example of this is illustrated in FIG. 3.

The table generating unit 520 generates the use state screen 4 as shown in FIG. 3, and the use state screen 4 is based on the drawing of the reading room previously inputted through the reading room manager. It is a screen showing the position and the seat 40 whether the use state 41 is active. In this case, the seat 40 activated in the use state 41 is processed so that other learners 2 can not select it, and the seat 40 in which the non-use state 42 has been processed is generated to be clearly visible.

In addition, the seat guide module 200, including the status guide unit 220, the use status screen generated through the table generating unit 520 described above in the kiosk terminal (1) when the use request information input by the learner (2) ( 4) outputs which seat 40 is in which reading room and which seat 40 is in use (use state 41), to determine whether the seat 40 is not in use (42).

In addition, in this configuration, the learning start module 300 includes a seat selection unit 340 of the seat 40 from the learner (2) checking the use status screen (4) via the kiosk terminal (1) Choose which one to choose. This allows the seat 40 to be selected by pressing the seat 40 shown in the non-use state 42 among the seats 40 shown in the use state screen 4 or by inputting a serial number of the corresponding seat 40. do. Of course, in the case of the seat 40 that is already active in the use state 41 can not be selected.

In addition, in the case of assigning such a seat 40, the learning start unit 330 actively processes the seat 40 selected by the learner 2 as the use state 41 according to the completion of the usage fee payment, and completes the learning completion unit. 410 is to change the selected seat 40 according to the expiration of the learning time to a non-use state 42 to enable the use based on the seat 40.

In addition, in the above description, the seat 40 may be returned only by the expiration of the learning time, and the learning of the learner 2 may be terminated, that is, it may be changed to the non-use state 42. However, in reality, even if the learning time does not expire, the use of the reading room may be terminated earlier than the learning time due to the personal circumstances of the learner 2.

To this end, the seat return module 400 may leave the kiosk terminal 1 or the learner 2 to receive the exit request information from the learner 2 via any one of the mobile phones 3 possessed by the learner 2. It may further include an input unit 420. The exit request information is to input a departure will for the reading room, and input the intention to use the reading room at the will of the learner 2. Through the kiosk terminal 1, a button such as a return process appears on the display, and the exit request information can be input by clicking the corresponding button, and through the mobile phone 3, a website or an application linked with the corresponding reading room. By using the cell phone (3) can be input to the departure request information.

Therefore, when the learner 2 can separately input the departure request information, the learning completion unit 410 selects the learner 2 according to at least one of the expiration of the learning time and the input of the departure request information. By changing the seat 40 to the non-use state 42, the use of the reading room can be completed and the seat 40 can be returned.

4 is a conceptual diagram showing the seat 40 and the guide terminal 50 of the present invention.

Referring to FIG. 4, the reading room of the present invention is disposed in the seat 40 of each reading room in which the kiosk terminal 1 of the present invention is disposed, and includes an input means 51 including a camera and a display. It may further include a guide terminal 50 including an output means 52, more preferably at least one of a smartphone or a tablet PC. The guide terminal 50 may be disposed on the desk of the seat 40 of the reading room or embedded in the desk to provide various information, and may also be used when the seat 40 is arranged and the use state 41 of the reading room is activated. .

The use of the guide terminal 50 to the use of the active state 41, the learning start module 300, the code generation unit for generating a use code for the seat 40 in accordance with the selection of the seat 40 is completed 350 and a code sending unit 360 for sending and processing the use code to the mobile phone (3) of the learner (2).

The usage code is any one of various codes that can be recognized, such as a barcode or a QR code, and is generated with information about the corresponding seat 40 and the learner 2 when the seat 40 is selected by the learner 2. These codes are sent to the learner 2's mobile phone 3 by way of MMS, KakaoTalk message, or application notification, so that the learner 2 can receive the use code through his mobile phone 3. Can be. The use code is based on that issued differently for each seat 40, learner (2).

When the use code is issued, the learning start unit 330 completes the payment of the usage fee and learner 2 according to the use code scanning process through the input means 51 of the guide terminal 50 disposed in the seat 40. The seat 40 selected from is activated to the use state 41. That is, after paying the usage fee, the learner 2 scans the usage code issued to his mobile phone 3 to the input means 51 such as the camera of the information terminal 50 and inputs and processes the usage code. The use process 41 is activated to enable the lighting and the like provided in the seat 40.

This prevents unauthorized use of others and improves security by preventing others from using the seat 40 other than the learner 2 who has selected the seat 40 for the seat 40 where the fee is paid. Will be.

Furthermore, the guide terminal 50 is said to be arranged for each seat 40 as either a tablet PC or a smartphone. Through the guide terminal 50 can provide information, such as to help the learner (2) learning, more specifically, the learning keyword for the instruction book 90, such as a collection of problems that the learner (2) is learning Of course, it can help to learn by providing a back. The configuration thereof is as follows.

First, the controller 5 further includes a book database 600. The book database 600 interworks with a plurality of publisher servers to perform a function of inputting and storing educational books 90 such as problem books, reference books, and textbooks published from the publishers. In this case, the educational book 90 may be an E-book or a scan of a paper book, but preferably, the educational book 90 may be a text copy of text stored in the e-book or the corresponding educational book 90. . The educational book 90 is stored in the book database 600 is used to generate a learning keyword.

The learning keyword generation module 700, which may be included in the controller 5, analyzes and processes the education book 90 stored in the book database 600, and generates a plurality of learning keywords for each page of the education book 90. The generated learning keyword is stored in the keyword DB 760. Detailed configuration of the learning keyword generation module 700 will be described later, but basically, the educational books 90 are composed of a plurality of pages, and each page of the corresponding educational books 90 is analyzed and processed for each page. Automatically generate keywords and store them in keyword DB 760.

In addition, the learning keyword providing module 800, which may be included in the controller 5, includes a book input unit 810, a keyword acquiring unit 820, and a keyword guide unit 830. As the book name and the number of pages of the educational book 90 being studied are input, the learning keyword generated for each page of the educational book 90 is provided to the learner 2 through the guide terminal 50.

The book input unit 810 performs a function of receiving a book name and the number of pages of the educational book 90 from the learner 2 through the input means 51 of the guide terminal 50. At this time, the learner 2 may directly input the title of the book and the number of pages to be provided with the learning keyword, but photograph and process the specific page of the corresponding educational book 90 through a camera provided in the guide terminal 50. You can also input the book name and the number of pages.

In more detail, through the image input part 811 included in the book input unit 810 through the camera of the guide terminal 50, the learner 2 is photographed a specific page of the educational book 90 currently being studied. When the photographed image is input and processed, the book grasp part 812 included in the book input unit 810 analyzes the photographed image to determine what educational book 90 the photographed image is input to. It is to grasp the book name and the number of pages of the book 90. This may be configured in conjunction with the book database 600 described above.

The keyword detecting unit 820 corresponds to the number of pages of the educational book 90 that is input and recognized from the learner 2 based on the learning keywords stored in the keyword DB 760, that is, generated for the corresponding page. The function of identifying the learning keyword is performed. To this end, the keyword DB 760 must classify and store the generated learning keywords for each page of the instructional book 90 when storing the learning keywords.

The keyword guide unit 830 performs a function of providing the learner 2 with the learning keyword corresponding to the page number through the output means 52 such as the display of the guide terminal 50.

That is, when the learner 2 inputs the number of pages of the specific educational books 90 and the book name, the keyword determining unit 820 grasps the learning keywords corresponding to the pages of the educational books 90, and the keyword guide unit 830. ) Outputs the corresponding learning keyword to the learner 2 through the display of the guide terminal 50, thereby providing the learner 2 with the key learning keyword included in each page of the educational book 90. You can increase it.

At this time, the most important configuration can be referred to as learning keyword generation module 700, by analyzing the educational book (90) to generate a plurality of learning keywords for each page of the educational book (90) and to the keyword DB (760) The detailed configuration of the stored learning keyword generation module 700 is as follows.

5 is a graph showing the likelihood function of the present invention.

Referring to FIG. 5, the basic function of the learning keyword generation module 700 may be a function of extracting a learning keyword from text, and further, text analysis included in the educational book 90. In general, AHP hierarchical analysis has been mainly used for text analysis. However, it is more preferable to generate a learning keyword by performing a more detailed analysis through prospective group analysis, in addition to simple hierarchical analysis. Will be effective.

To this end, the learning keyword generation module 700 is basically a text detection unit 710, a word detection unit 720, a term generation unit 730, a group classification unit 740, keyword designation 750, keyword DB 760. Each configuration will be described in more detail as follows.

The text detection unit 710 grasps the text included for each page for each educational book 90 included in the book database 600. In other words, it checks what text is contained on the first page and what text is contained on the second page.

The word detection unit 720 detects the words included in the text included for each page. In this case, the word classification is based on spacing. In other words, in case of 'finding a word included in the text', the text is included / contained / word. It can be said to include a total of four words.

The term generator 730 performs a function of filtering the plurality of words extracted through the word catcher 720 to generate an analysis subject term. Punctuation marks and symbols, such as periods, quotes, and question marks, do not significantly affect text analysis. In this case, the filter process is preferably based on nouns on the extracted words. In this case, pronouns other than personal pronouns are already nouns, even if they are kept in this form, and thus no additional conversion is required. In this case, words that cannot be noun, for example, prepositions, etc., cannot be noun, and thus are deleted.

The group classification unit 740 classifies the plurality of analysis target terms generated by the term generation unit 730 through a latent group analysis (LCA) to classify the plurality of keyword groups. At this time, latent group analysis is a part of constructing the structural equation model, and it is a part that shows causality and correlation among latent variables. Since the latent variable is an analysis target term, the analysis term can be grouped and classified according to the causality and correlation between the analysis term.

Therefore, since the terms of analysis stratified through the analysis of the latent group are estimated groups based on the similarity, the Hsbword can also be sorted by type according to the latent group analysis method.

In this case, hierarchical analysis of AHP method, which has been widely used in text analysis, is based on clustering. Cluster analysis is a simple method of attempting classification based on data values and based on coefficients estimated by specific statistical methods such as mixed models. Categorizing them as (eg, categorizing them based on estimated rates of change in the potential growth model) is not possible. In the case of latent group analysis, it can be combined with various analyzes by including various statistical indices, longitudinal analysis, influence variables and outcome variables to determine the number of groups. have.

Further, the keyword designation unit 750 designates at least one of the analysis target terms included in each of the classified keyword groups as a learning keyword. At this time, the number of learning keywords to be specified for each keyword group is not limited, and the learning keywords may be specified through various methods.

The keyword DB 760 classifies and stores the learning keywords generated for each educational book 90 for each page. The keyword DB 760 is a learning keyword for which education book 90 or a learning keyword generated for each page. Of course, the information is stored together to increase the convenience of identifying the learning keyword through the keyword detection unit 820 described above.

In such a configuration, the group classification unit 740 as described above performs a function of classifying the plurality of analysis target terms into a plurality of keyword groups through potential group analysis. For this purpose, the model application part 741 is basically used. It should be included.

The model application part 741 classifies a plurality of terms to be analyzed into a plurality of keyword groups through a latent variable model based on mutual similarity. In this case, the latent variable model needs to determine the number of groups, the number of groups to be classified, and the determination of the parameters. Therefore, an additional configuration for determining the number of groups and the parameters is required. Therefore, in order to smoothly apply the model application part 741, it is necessary to determine the parameters and the number of groups through the detailed configuration of the group classification unit 740. For this purpose, the group classification unit 740 has a parameter range determination part 742. ), The group judgment part 743 may be further included.

The parameter range determining part 742 performs a function of determining a parameter range based on the number of the analysis target terms extracted from the text, and the value of any one of these parameter ranges is actually classified by the analysis target term. The number of groups, which is the number of groups to be used, is used to determine only the parameter range and not to determine the layer coefficient in advance, in order to enable more exploratory and technical text analysis. This is to judge. In addition, since the model is sufficiently verified when determining the number of groups, accurate analysis is possible without setting a separate number of groups. At this time, the parameter range is not limited, but the parameter range is determined to include the number of terms to be extracted. In other words, the size of the parameter range is not limited. For example, if 100 terms are extracted, the parameter range must include a range of 100. That is, the parameter range should be determined as a range including 100, such as 1 or more and 100 or less, 1 or more and 1000 or less, 50 or more and 150 or less.

The group number determining part 743 calculates an akaike index, a Bayesian index, and a complementary beige index for each of the integers included in the parameter range, and compares the values to designate any one of the parameter ranges as a group number. Perform the function. As described above, the range of the number of groups is not calculated in advance, and then the most suitable value is designated as the number of groups through the application of the actual model. At this time, more preferably, each integer included in the parameter range is designated as a preliminary parameter, and for each of the preliminary parameters, an akaike index, a Bayesian index, and a complementary beige index are calculated, and the calculated values are substituted and substituted. An integer that represents the value closest to the maximum likelihood estimation value is specified as the number of groups.

To this end, it is basically necessary to calculate the maximum likelihood estimate, which can be calculated through the following equations (1) to (2).

Equation 1,

는 분석대상용어

에 대해 설정된 계수,

는 계수

및 예비모수

에 대한 우도함수,

는 상기 모수범위에 포함된 수 중 어느 하나로써 예비모수,

은 분석대상용어의 총 개수를 의미한다.)(here,

Is the term to be analyzed

The coefficient set for,

Is a coefficient

And preliminary parameters

Likelihood function for,

Is any one of the numbers included in the parameter range as a preliminary parameter,

Is the total number of terms to be analyzed.)

Equation 2,

는 최대우도추정치,

는 분석대상용어

에 대해 설정된 계수,

은 분석대상용어의 총 개수를 의미한다.)(here,

Is the maximum likelihood estimate,

Is the term to be analyzed

The coefficient set for,

Is the total number of terms to be analyzed.)

에 대해 설정된 계수라 함은 해당 교육용서적(90)의 페이지 상에 분석대상용어

가 나타난 빈도수를 의미하며, 분석대상용어의 총 개수는 해당 교육용서적(90)의 텍스트 전체에서 추출된 분석대상용어의 전체 개수를 의미한다.In more detail, the term to be analyzed

The coefficient set for is the term to be analyzed on the page of the relevant educational book (90).

Denotes the frequency of appearing, and the total number of terms to be analyzed means the total number of terms to be extracted from the entire text of the educational literature 90.

At this point, it is difficult to calculate the likelihood function in general calculation. Therefore, when calculating the likelihood function, it is better to use a statistical program. For this purpose, a statistical program such as MPlus may be preferably used. An example of the likelihood function implemented through the statistics is shown in FIG. 5. In the case of the likelihood function, it is a general goal to find the maximum value. In this case, the smaller the value of the preliminary parameter and the larger the value of the likelihood function is a preferable maximum value to be extracted.

Further, the group judgment part 743 designates each of the integers included in the parameter range as a preliminary parameter, calculates the akaike index, the Bayesian index, and the complementary Beige index, respectively, and analyzes the calculated values to substitute the integers. It is said that an integer representing the value closest to the maximum likelihood estimation value is designated as the number of groups, and each calculation formula is as follows.

Akaike index calculation

Equation 3,

Bayesian Index Output

Equation 4,

Complementary Bayesian Index

Equation 5,

는 아카이케지수,

는 베이지안지수,

는 보완베이지안지수,

는 분석대상용어

에 대해 설정된 계수,

는 계수

및 예비모수

에 대한 우도함수,

는 상기 모수범위에 포함된 수 중 어느 하나로써 예비모수,

은 분석대상용어의 총 개수를 의미한다.)(here,

Is the Akaike Index,

Is the Bayesian index,

Is the complementary Bayesian Index,

Is the term to be analyzed

The coefficient set for,

Is a coefficient

And preliminary parameters

Likelihood function for,

Is any one of the numbers included in the parameter range as a preliminary parameter,

Is the total number of terms to be analyzed.)

The reason for calculating the three information indices and comparing the values is the first to determine which model is most suitable. Furthermore, each information index imposes different penalties according to the number of parameters and the number of samples. Therefore, by calculating all three information indexes that impose different penalties, and comparing them, the model of the information index that shows the likelihood value that shows the closest value to the maximum likelihood estimation value is compared with the value of the substituted integer. It is determined by the information index model, and the value of the corresponding integer is designated and processed by the number of groups, which is the number of keyword groups to be classified.

In addition, obtaining each information index can be difficult with general calculations. Therefore, it is good to use a statistical program when calculating each information index, for this purpose, a statistical program such as MPlus may be preferably used.

Therefore, when the number of stairs is designated through the above-described configuration, the group, that is, the keyword group classification, becomes possible through the model application part 741. In this case, the keyword group classification is a method of applying the latent variable model through Equation 6 below. Is possible.

Equation 6,

는 종속변수의 벡터값에 따른 잠재변수모형의 값,

는 분석대상용어

에 대한 종속변수의 벡터,

는 분석대상용어

의 계급값,

는 각각의 그룹,

는 그룹수판단파트(743)에 의해 판단된 그룹수를 의미한다.)(here,

Is the value of the latent variable model according to the vector value of the dependent variable,

Is the term to be analyzed

Vector of dependent variables for,

Is the term to be analyzed

Rank value of,

Each group,

Denotes the number of groups determined by the group number determination part 743.)

At this time, the rank value refers to the frequency of appearance of the analysis terminology in the educational publication 90, and the number of groups was calculated through the above-described Equations 1 to 5. In addition, even when applying the latent variable model, if you use a statistical program such as MPlus will be available to those skilled in the art.

Therefore, the comparison process through various models and the number of groups through the model can be used for grouping with excellent accuracy, and an unbiased value can be obtained. In addition, as mentioned above, the analysis target terms stratified through the analysis of the latent population are estimated groups based on similarity. Therefore, the analysis target terms can be grouped according to the latent hierarchical analysis method, and the learning keywords can be obtained based on the analysis. Will be.

As described so far, the configuration and operation of the unmanned reading room management system using the kiosk according to the present invention have been expressed in the above description and drawings, but this is merely an example, and the spirit of the present invention is not limited to the above description and the drawings. Of course, various changes and modifications are possible without departing from the spirit of the present invention.

1: kiosk terminal 10: communication unit
11: touch screen display 2: learner
3: Mobile Phone 4: Status Screen
5: controller 40: seat
41: state of use 42: state of nonuse
50: guide terminal 51: input means
52: output means 100: member registration module
200: seat information module 210: use request unit
220: status guide 300: learning start module
310: learning time input unit 320: charge payment unit
330: learning start 340: seat selection
350: code generation unit 360: code sending unit
400: seat return module 410: learning completion part
420: exit unit 500: seat detection module
510: seat grasp 520: diagram generation unit
600: book database 700: learning keyword generation module
710: text grabber 720: word grabber
730: term generation section 740: group classification section
741: Model application part 742: Parameter range determination part
743: Group Judgment Part 750: Keyword Branch Government
760: Keyword DB 800: Learning keyword provision module
810: book input unit 811: image input part
812: Book grasp part 820: Keyword grasp
830: keyword guide 90: educational books

Claims (11)

As an unmanned reading room management system using a kiosk,
A kiosk terminal including a communication unit connected to a network server through at least one of wired and wireless and a touch screen display;
A guide terminal comprising any one of a tablet PC and a smartphone disposed in a seat in a reading room, the input terminal including a camera and an output terminal including a display;
Member registration module for receiving member information from the learner,
A seat guide module including a use request unit for receiving use request information from the learner through the kiosk terminal;
Start learning including a learning time input unit for receiving a learning time from the learner, a bill payment unit for receiving a usage fee from the learner, and a learning start unit for actively processing the learner to use the reading room from the point of time of the use fee payment. Module,
A seat return module including a learning completion unit configured to change and process the learner into a non-use state upon expiration of the learning time;
A book database linked with the publisher's server to input and store educational books;
A learning keyword generation module for analyzing and processing the education book, generating a plurality of learning keywords for each page of the education book, and storing them in a keyword DB;
A book input unit for receiving the book name and the number of pages of the educational book from the learner through the input means of the guide terminal, a keyword detecting unit for identifying the learning keywords generated for the pages of the input educational book; And a controller including a learning keyword providing module including a keyword guide unit providing the learning keyword corresponding to the number of pages to the learner through the output means of the guide terminal.
The learning keyword generation module,
A text grasping section for grasping the text included in each page of the educational book, a word grasping section for grasping the words included in the text, a term generating section for generating the analysis term by filtering the words, and a potential group A group classification unit including a model application part for classifying the plurality of analysis target terms into a plurality of keyword groups through analysis, and a keyword for designating at least one of the analysis target terms included in each of the keyword groups as a learning keyword A designation unit and a keyword DB for storing the learning keywords generated for each page;
The group classification unit,
A parameter range determination part for determining a parameter range based on the extracted number of analysis terms, and
Each of the integers included in the parameter range is designated as a preliminary parameter, and for each of the preliminary parameters, an akaike index, a Bayesian index, and a complementary beige index are calculated, and the calculated values are analyzed and processed, and the maximum likelihood estimation value is compared with the value of the substituted integer. Contains a group counting part that specifies, in groups, an integer that represents the value nearest to
The maximum likelihood estimate is
It is calculated through the following equation 1,2,
Equation 1,

(here,

Is the term to be analyzed

The coefficient set for,

Is a coefficient

And preliminary parameters

Likelihood function for,

Is any one of the numbers included in the parameter range as a preliminary parameter,

Is the total number of terms to be analyzed.)
Equation 2,

(here,

Is the maximum likelihood estimate,

Is the term to be analyzed

The coefficient set for,

Is the total number of terms to be analyzed.)
The group judgment part,
To calculate the Akaike index through the following equation (3),
The Bayesian index is calculated through the following Equation 4,
Complementary Bayesian index is calculated through the following Equation 5,
Equation 3,

Equation 4,

Equation 5,

(here,

Is the Akaike Index,

Is the Bayesian index,

Is the complementary Bayesian Index,

Is the term to be analyzed

The coefficient set for,

Is a coefficient

And preliminary parameters

Likelihood function for,

Is any one of the numbers included in the parameter range as a preliminary parameter,

Is the total number of terms to be analyzed.)
The model application part,
Unmanned reading room management system using a kiosk, characterized in that the latent variable model is applied through the following equation (6).
Equation 6,

(here,

Is the value of the latent variable model according to the vector value of the dependent variable,

Is the term to be analyzed

Vector of dependent variables for,

Is the term to be analyzed

Rank value of,

Each group,

Means the number of groups judged by the group judgment part.) The method of claim 1,
The controller,
A seat catching unit for grasping the positions of the entire seats included in the reading room and whether each of the seats is active;
It further comprises a seat detection module including a table generating unit for generating a use status screen that tabulates the position of the entire seat and whether the use state of the seat is active on the basis of the drawing of the reading room previously input,
The seat guide module,
The apparatus may further include a status guide unit configured to output the usage status screen to the kiosk terminal according to the usage request information input.
The learning start module,
Further comprising a seat selection unit for receiving any one of the seat from the learner via the kiosk terminal,
The learning start unit,
Actively process the selected seat according to the usage fee payment,
The learning completion unit,
And changing the selected seat to an unused state according to the expiration of the learning time. The method of claim 2,
The seat return module,
Further comprising a leaving input unit for receiving the leaving request information from the learner via the kiosk terminal,
The learning completion unit,
And changing the seat selected by the learner to a non-use state according to at least one of the expiration of the learning time and the input of the exit request information. The method of claim 3, wherein
The member registration module,
Receive member information including the learner's mobile phone number,
The learning start module,
Code generation unit for generating a use code for the seat as the seat selection is completed,
Further comprising a code sending unit for sending out the use code to the learner's mobile phone,
The learning start unit,
Activate the selected seat in a use state according to the usage fee payment and the use code scanning process through the input means;
The exit input unit,
Unattended reading room management system using a kiosk, characterized in that for receiving the exit request information from the learner via at least one of the kiosk terminal and the mobile phone. The method of claim 1,
The book input unit,
An image input part for receiving a photographed image of the educational book from the learner through the camera of the guide terminal;
And a book grasp part for analyzing the photographed image to grasp the book name and the number of pages of the educational book, an unmanned reading room management system using a kiosk.
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