Data management method and system based on 5G

文档序号：1798836 发布日期：2021-11-05 浏览：17次中文

阅读说明：本技术 基于5g的数据管理方法及系统 (Data management method and system based on 5G ) 是由张军于 2021-07-14 设计创作，主要内容包括：本申请提供的基于5G的数据管理方法及系统,通过属性分析网络输出针对目标互动用户档案数据的用于表征其属性描述内容的互动用户档案数据的描述内容向量,以及获取至少两个互动数据描述内容向量,其中,互动数据描述内容向量用于表征对应互动数据下的互动数据表征互动用户档案数据的属性描述内容,而互动数据表征互动用户档案数据的互动数据通过所述互动数据表征互动用户档案数据的管理方案描述内容确定。最后,基于所述互动用户档案数据的描述内容向量与各个互动数据描述内容向量,得到用于确定所述目标互动用户档案数据的互动数据的所述目标互动用户档案数据与各个互动数据所对应的互动数据表征互动用户档案数据之间的互动数据关联性。(According to the data management method and system based on 5G, description content vectors of interactive user profile data for representing attribute description contents of target interactive user profile data are output through an attribute analysis network, and at least two interactive data description content vectors are obtained, wherein the interactive data description content vectors are used for representing the attribute description contents of the interactive data representing the interactive user profile data under corresponding interactive data, and the interactive data representing the interactive user profile data are determined through the management scheme description contents of the interactive data representing the interactive user profile data. And finally, based on the description content vector of the interactive user profile data and the description content vectors of each interactive data, obtaining interactive data relevance between the target interactive user profile data used for determining the interactive data of the target interactive user profile data and the interactive data representation interactive user profile data corresponding to each interactive data.)

1. A5G-based data management method, characterized in that the method comprises:

acquiring target interactive user profile data with undetermined interactive data;

outputting a description content vector of the interactive user profile data aiming at the target interactive user profile data through an attribute analysis network, wherein the description content vector of the interactive user profile data is used for representing the attribute description content of the target interactive user profile data;

acquiring at least two interactive data description content vectors, wherein the interactive data description content vectors are used for representing attribute description contents of interactive data representation interactive user profile data under corresponding interactive data, and the interactive data representing the interactive user profile data are determined by the management scheme description contents of the interactive data representation interactive user profile data;

and determining interactive data relevance between the target interactive user profile data and interactive data representation interactive user profile data corresponding to each interactive data based on the description content vector of the interactive user profile data and each interactive data description content vector, wherein the interactive data relevance is used for determining the interactive data of the target interactive user profile data.

2. The method of claim 1, wherein obtaining at least two interaction data description content vectors comprises:

acquiring a historical interactive user profile data set, wherein the historical interactive user profile data set comprises historical interactive user profile data of which the interactive data is not determined;

extracting the management scheme description content of each historical interactive user profile data in the historical interactive user profile data set, wherein the management scheme description content is used for representing the representing degree of the interest data representing mode in the historical interactive user profile data;

determining interactive data characterization interactive user profile data corresponding to at least two interactive data in the historical interactive user profile data set based on the management scheme description content of each historical interactive user profile data in the historical interactive user profile data set;

and outputting description content vectors of the interactive data characterization interactive user profile data corresponding to each interactive data through the attribute analysis network to obtain at least two interactive data description content vectors.

3. The method of claim 2, wherein determining the interaction data characterization interaction user profile data corresponding to at least two interaction data in the historical interaction user profile data set based on the management scheme description content of each historical interaction user profile data in the historical interaction user profile data set comprises:

determining interaction data possibility arrangement of each historical interaction user profile data through an interaction user profile data interaction data network based on the management scheme description content of each historical interaction user profile data;

and determining interactive data representation interactive user profile data corresponding to at least two interactive data in the historical interactive user profile data set based on the interactive data possibility arrangement of each historical interactive user profile data.

4. The method of claim 3, wherein the historical interactive user profile data comprises category identification data, wherein the determining, based on the management plan description content of each historical interactive user profile data, an interactive data likelihood arrangement for each historical interactive user profile data via an interactive user profile data interactive data network comprises:

based on the management scheme description content of each historical interactive user profile data and the type identification data of each historical interactive user profile data, determining the interactive data possibility arrangement of each historical interactive user profile data through the monitored interactive user profile data interactive data network.

5. The method of claim 3, wherein the interaction data likelihood assignment based on each historical interaction user profile data, determining interaction data characterization interaction user profile data corresponding to at least two interaction data in the historical interaction user profile data set, comprises:

determining the interaction data of each historical interaction user profile data as the interaction data proportion of target interaction data through interaction data possibility arrangement of each historical interaction user profile data, wherein the target interaction data is one of the at least two interaction data;

combining the interactive data of the historical interactive user profile data into the interactive data proportion of the target interactive data according to the distribution condition from large to small;

selecting historical interactive user profile data of which the interactive data proportion combination is in a first preset standard index, and determining that the interactive data corresponding to the target interactive data represents the interactive user profile data;

wherein, the description content vector of the interaction data characterization interaction user profile data corresponding to each interaction data is output through the attribute analysis network to obtain at least two interaction data description content vectors, including:

for each target interaction data in the at least two interaction data, outputting a description content vector of interaction data characterization interaction user profile data of a first predetermined event corresponding to the target interaction data through an attribute analysis network;

and carrying out weighting processing on the description content vector of the interactive data characterization interactive user profile data of the first predetermined event to obtain the interactive data description content vector corresponding to the target interactive data.

6. The data management system based on the 5G is characterized by comprising data acquisition equipment and a data processing terminal, wherein the data acquisition equipment is in communication connection with the data processing terminal, and the data processing terminal is specifically used for:

acquiring target interactive user profile data with undetermined interactive data;

7. The system of claim 6, wherein the data processing terminal is specifically configured to:

8. The system of claim 7, wherein the data processing terminal is specifically configured to:

9. The system of claim 8, wherein the data processing terminal is specifically configured to:

10. The method according to claim 8, wherein the data processing terminal is specifically configured to:

Technical Field

The present application relates to the field of data management technologies, and in particular, to a 5G-based data management method and system.

Background

5G (5th Generation Mobile communication technology) is a new Generation broadband Mobile communication technology with the features of high speed, low latency and large connection, and is a network infrastructure for implementing man-machine interconnection. The theoretical downlink speed of the 5G network is 10Gb/s (equivalent to the download speed of 1.25GB/s), so that the correlation efficiency of related data can be improved, and the labor cost is effectively reduced. However, there are some drawbacks in the related 5G data management technology.

Disclosure of Invention

In view of this, the present application provides a 5G-based data management method and system.

In a first aspect, a 5G-based data management method is provided, where the method includes:

acquiring target interactive user profile data with undetermined interactive data;

Further, the obtaining at least two interaction data description content vectors includes:

Further, the determining, in the historical interactive user profile data set, interactive data corresponding to at least two interactive data characterizing the interactive user profile data based on the management scheme description content of each historical interactive user profile data in the historical interactive user profile data set includes:

Further, the historical interactive user profile data includes category identification data, the management scheme description content based on each historical interactive user profile data determines the interactive data possibility arrangement of each historical interactive user profile data through the interactive user profile data interactive data network, and the method includes:

Further, the interaction data possibility arrangement based on each historical interaction user profile data, determining in the historical interaction user profile data set that the interaction data corresponding to at least two interaction data represents the interaction user profile data, includes:

In a second aspect, a 5G-based data management system is provided, which includes a data acquisition device and a data processing terminal, where the data acquisition device is in communication connection with the data processing terminal, and the data processing terminal is specifically configured to:

acquiring target interactive user profile data with undetermined interactive data;

Further, the data processing terminal is specifically configured to:

According to the data management method and system based on 5G provided by the embodiment of the application, description content vectors of interactive user profile data used for representing attribute description contents of target interactive user profile data are output through an attribute analysis network, and at least two interactive data description content vectors are obtained, wherein the interactive data description content vectors are used for representing the attribute description contents of the interactive data representing the interactive user profile data under corresponding interactive data, and the interactive data representing the interactive user profile data are determined through the management scheme description contents of the interactive data representing the interactive user profile data. And finally, based on the description content vector of the interactive user profile data and the description content vectors of each interactive data, obtaining interactive data relevance between the target interactive user profile data used for determining the interactive data of the target interactive user profile data and the interactive data representation interactive user profile data corresponding to each interactive data.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a flowchart of a 5G-based data management method according to an embodiment of the present application.

Fig. 2 is a block diagram of a 5G-based data management apparatus according to an embodiment of the present application.

Fig. 3 is an architecture diagram of a 5G-based data management system according to an embodiment of the present application.

Detailed Description

In order to better understand the technical solutions, the technical solutions of the present application are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.

Referring to fig. 1, a 5G-based data management method is shown, which may include the technical solutions described in the following steps 100 to 400.

Step 100, target interactive user profile data with undetermined interactive data is obtained.

For example, the target interaction user profile data is used to characterize the relevant data communicated over the 5G.

Step 200, outputting a description content vector of the interactive user profile data aiming at the target interactive user profile data through an attribute analysis network, wherein the description content vector of the interactive user profile data is used for representing the attribute description content of the target interactive user profile data.

For example, the descriptive content vectors represent key features in the interactive user profile data.

Step 300, at least two interactive data description content vectors are obtained.

For example, the interactive data description content vector is used for characterizing the attribute description content of the interactive data characterization interactive user profile data under the corresponding interactive data, and the interactive data of the interactive data characterization interactive user profile data is determined by the management scheme description content of the interactive data characterization interactive user profile data.

Step 400, determining the interactive data relevance between the target interactive user profile data and the interactive data characterization interactive user profile data corresponding to each interactive data based on the description content vector of the interactive user profile data and each interactive data description content vector.

For example, interaction data correlation is used to determine interaction data for the target interactive user profile data.

It can be understood that, when the technical solutions described in the above steps 100 to 400 are executed, the description content vector of the interactive user profile data for characterizing the attribute description content of the target interactive user profile data is output through the attribute analysis network, and at least two interactive data description content vectors are obtained, where the interactive data description content vector is used for characterizing the attribute description content of the interactive user profile data corresponding to the interactive data, and the interactive data characterizing the interactive user profile data is determined by the management solution description content of the interactive user profile data characterized by the interactive data. And finally, based on the description content vector of the interactive user profile data and the description content vectors of each interactive data, obtaining interactive data relevance between the target interactive user profile data used for determining the interactive data of the target interactive user profile data and the interactive data representation interactive user profile data corresponding to each interactive data.

In an alternative embodiment, the inventor finds that there is a problem that the steps of obtaining at least two interaction data description content vectors are mixed in the step of obtaining at least two interaction data description content vectors, so that it is difficult to accurately obtain at least two interaction data description content vectors, and in order to improve the above technical problem, the step of obtaining at least two interaction data description content vectors described in step 300 may specifically include the technical solutions described in the following step q 1-step q 4.

Step q1, obtaining a historical interactive user profile data set, wherein the historical interactive user profile data set comprises historical interactive user profile data with undetermined interactive data.

And q2, extracting the management scheme description content of each historical interactive user profile data in the historical interactive user profile data set, wherein the management scheme description content is used for representing the representation degree of the interest data representation mode in the historical interactive user profile data.

And q3, determining interactive data characterization interactive user profile data corresponding to at least two interactive data in the historical interactive user profile data set based on the management scheme description content of each historical interactive user profile data in the historical interactive user profile data set.

And q4, outputting the description content vectors of the interactive data characterization interactive user profile data corresponding to each interactive data through the attribute analysis network to obtain at least two interactive data description content vectors.

It can be understood that when the technical solution described in the above step q 1-step q4 is executed, when at least two interactive data description content vectors are obtained, the problem of confusion of the historical interactive user profile data steps is avoided, so that at least two interactive data description content vectors can be accurately obtained.

In an alternative embodiment, the inventors have found that, when determining the interactive data corresponding to at least two interactive data in the historical interactive user profile data set based on the management scheme description content of each historical interactive user profile data in the historical interactive user profile data set, the management scheme description content is inaccurate, so that it is difficult to accurately determine the interactive data corresponding to at least two interactive data to characterize the interactive user profile data, and in order to improve the above technical problem, the step of determining the interactive data corresponding to at least two interactive data in the historical interactive user profile data set based on the management scheme description content of each historical interactive user profile data in the historical interactive user profile data set described in step q3, the method specifically comprises the technical scheme described in the following step q31 and step q 32.

And q31, determining the interaction data possibility arrangement of each historical interaction user profile data through the interaction data network based on the management scheme description content of each historical interaction user profile data.

And q32, determining interaction data characterization interaction user profile data corresponding to at least two interaction data in the historical interaction user profile data set based on the interaction data possibility arrangement of each historical interaction user profile data.

It can be understood that, when the technical solutions described in the above steps q31 and q32 are executed, based on the management solution description contents of the respective historical interactive user profile data in the historical interactive user profile data set, when the interactive data corresponding to at least two interactive data in the historical interactive user profile data set is determined to represent the interactive user profile data, the problem of inaccurate description contents of the management solution is avoided, so that the interactive data corresponding to at least two interactive data can be accurately determined to represent the interactive user profile data.

In an alternative embodiment, the inventors have found that the historical interactive user profile data comprises category identification data, the management scheme description based on the respective historical interactive user profile data, the problem of inaccurate category identification data exists when the interactive data possibility arrangement of each historical interactive user profile data is determined through the interactive user profile data interactive data network, so that it is difficult to accurately determine the interaction data possibility arrangement of each historical interaction user profile data, the historical interaction user profile data described in step q31 includes category identification data, the management scheme description content based on each historical interaction user profile data, the step of determining the interaction data possibility configuration of each historical interaction user profile data through the interaction data network may specifically include the technical solution described in the following step w 1.

And step w1, determining the interactive data possibility arrangement of each historical interactive user profile data through the interactive data network with the monitored interactive user profile data based on the management scheme description content of each historical interactive user profile data and the type identification data of each historical interactive user profile data.

It can be understood that, when the technical solution described in the above step w1 is implemented, the historical interactive user profile data includes category identification data, and the interactive data possibility arrangement of each historical interactive user profile data is determined through the interactive user profile data interactive data network based on the management solution description content of each historical interactive user profile data, so as to avoid the problem of inaccurate category identification data, and thus, the interactive data possibility arrangement of each historical interactive user profile data can be accurately determined.

In an alternative embodiment, the inventor finds that, when determining the interactive data corresponding to at least two pieces of interactive data in the historical interactive user profile data set based on the interactive data possibility arrangement of each piece of historical interactive user profile data, there is a problem that the interactive data ratio is inaccurate, so that it is difficult to accurately determine the interactive data corresponding to at least two pieces of interactive data to represent the interactive user profile data, and in order to improve the above technical problem, the step of determining the interactive data corresponding to at least two pieces of interactive data in the historical interactive user profile data set based on the interactive data possibility arrangement of each piece of historical interactive user profile data described in step q32 may specifically include the technical solutions described in the following steps e1 to e 3.

And e1, determining the interaction data proportion of the target interaction data of the history interaction user profile data according to the interaction data possibility arrangement of the history interaction user profile data, wherein the target interaction data is one of the at least two interaction data.

And e2, combining the interactive data of each historical interactive user profile data into the interactive data proportion of the target interactive data according to the distribution situation from large to small.

Step e3, selecting historical interaction user profile data with interaction data proportion combination in a first preset standard index, and determining that the interaction data corresponding to the target interaction data represents the interaction user profile data.

It can be understood that, when the technical solutions described in steps e 1-e 3 are executed, based on the interaction data possibility arrangement of each historical interaction user profile data, when the interaction data corresponding to at least two interaction data in the historical interaction user profile data set is determined to represent the interaction user profile data, the problem of inaccurate interaction data ratio is avoided, so that the interaction data corresponding to at least two interaction data can be accurately determined to represent the interaction user profile data.

In an alternative embodiment, the inventor finds that, when the description content vector characterizing the interactive user profile data corresponding to each piece of interactive data is output through the attribute analysis network, there is a problem that the description content vector is not complete, so that it is difficult to obtain at least two interactive data description content vectors completely, and in order to improve the above technical problem, the step of obtaining at least two interactive data description content vectors by outputting the description content vector characterizing the interactive user profile data corresponding to each piece of interactive data through the attribute analysis network, which is described in step q4, may specifically include the technical solutions described in the following step q41 and step q 42.

And q41, for each target interaction data in the at least two interaction data, outputting a description content vector of the interaction data characterization interaction user profile data of the first predetermined event corresponding to the target interaction data through the attribute analysis network.

And q42, performing weighting processing on the description content vector of the interactive data characterization interactive user profile data of the first predetermined event to obtain an interactive data description content vector corresponding to the target interactive data.

It can be understood that, when the technical solutions described in the above step q41 and step q42 are executed, when the description content vector characterizing the interactive user profile data for the interactive data corresponding to each interactive data is output through the attribute analysis network, the problem of incomplete description content vector is avoided, so that at least two interactive data description content vectors can be completely obtained.

In one possible embodiment, the inventors found that when the description content vector of the interactive user profile data and the description content vector of each interactive data are based on, there is a problem of inaccurate vector difference, so that it is difficult to accurately determine the interactive data association between the target interactive user profile data and the interactive data characterization interactive user profile data corresponding to each interactive data, and in order to improve the above technical problem, the step of determining the interactive data association between the target interactive user profile data and the interactive data characterization interactive user profile data corresponding to each interactive data, based on the description content vector of the interactive user profile data and the description content vector of each interactive data, which is described in step 400, may specifically include the technical solutions described in the following step r1 and step r 2.

And r1, calculating the vector difference between the description content vector of the interactive user profile data and each interactive data description content vector.

And r2, determining the interactive data relevance between the target interactive user profile data and the interactive data characterization interactive user profile data corresponding to each interactive data based on the vector difference, wherein the interactive data relevance is related to the vector difference.

It can be understood that, when the technical solutions described in the above steps r1 and r2 are performed, when the description content vector of the interactive user profile data and the description content vector of each interactive data are based, the problem of inaccurate vector difference is avoided, so that the interactive data correlation between the target interactive user profile data and the interactive data characterization interactive user profile data corresponding to each interactive data can be accurately determined.

Based on the above basis, after determining the interaction data correlation between the target interaction user profile data and the interaction data characterization interaction user profile data corresponding to each interaction data, the following technical solutions described in step a1 and step a2 may be further included.

Step a1, determining the interactive data characterization interactive user profile data with the maximum interactive data relevance with the target interactive user profile data from the interactive data characterization interactive user profile data corresponding to each interactive data.

Step a2, determining the interaction data corresponding to the interaction data characterization interaction user profile data with the maximum interaction data relevance as the interaction data of the target interaction user profile data.

It can be understood that, when the technical solutions described in the above steps a1 and a2 are performed, the interactive user profile data is characterized by determining the interactive data with the largest association with the interactive data of the target interactive user profile data, so as to improve the accuracy of the interactive data of the target interactive user profile data.

Based on the above basis, the following technical solution described in step s1 may also be included.

Step s1, determining interaction data possibility arrangement of the target interaction user profile data based on the interaction data correlation between the target interaction user profile data and the interaction data characterization interaction user profile data corresponding to each interaction data.

It can be understood that when the technical solution described in the above step s1 is executed, the interaction data possibility arrangement of the target interaction user profile data is accurately determined through interaction data correlation.

On the basis, please refer to fig. 2 in combination, a 5G-based data management apparatus 200 applied to a data processing terminal is provided, the apparatus includes:

a profile data obtaining module 210, configured to obtain target interactive user profile data for which the interactive data is not determined;

a description content determining module 220, configured to output, through an attribute analysis network, a description content vector of the interactive user profile data for the target interactive user profile data, where the description content vector of the interactive user profile data is used to characterize an attribute description content of the target interactive user profile data;

a description content obtaining module 230, configured to obtain at least two interaction data description content vectors, where the interaction data description content vectors are used to represent attribute description contents of interaction data representing interaction user profile data under corresponding interaction data, and the interaction data representing interaction user profile data is determined by a management scheme description content of the interaction data representing interaction user profile data;

a data association determining module 240, configured to determine, based on the description content vector of the interactive user profile data and each interactive data description content vector, an interactive data association between the target interactive user profile data and interactive data characterization interactive user profile data corresponding to each interactive data, where the interactive data association is used to determine interactive data of the target interactive user profile data.

On the basis of the above, please refer to fig. 3, which shows a 5G-based data management system 300, which includes a processor 310 and a memory 320, which are communicated with each other, wherein the processor 310 is configured to read a computer program from the memory 320 and execute the computer program to implement the above method.

On the basis of the above, there is also provided a computer-readable storage medium on which a computer program is stored, which when executed implements the above-described method.

In summary, based on the above solution, a description content vector of the interactive user profile data for representing the attribute description content of the target interactive user profile data is output through the attribute analysis network, and at least two interactive data description content vectors are obtained, where the interactive data description content vector is used for representing the attribute description content of the interactive data representing the interactive user profile data under the corresponding interactive data, and the interactive data representing the interactive user profile data is determined by the management scheme description content of the interactive data representing the interactive user profile data. And finally, based on the description content vector of the interactive user profile data and the description content vectors of each interactive data, obtaining interactive data relevance between the target interactive user profile data used for determining the interactive data of the target interactive user profile data and the interactive data representation interactive user profile data corresponding to each interactive data.

It should be appreciated that the system and its modules shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided, for example, on a carrier medium such as a diskette, CD-or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application may be implemented not only by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, for example, or by a combination of the above hardware circuits and software (e.g., firmware).

It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.

Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.

Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereon. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.

The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.

Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).

Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.

Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.

Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the numbers allow for adaptive variation. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.

The entire contents of each patent, patent application publication, and other material cited in this application, such as articles, books, specifications, publications, documents, and the like, are hereby incorporated by reference into this application. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those embodiments explicitly described and depicted herein.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

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