CN111612664A - Big data-based smart campus platform - Google Patents
Big data-based smart campus platform Download PDFInfo
- Publication number
- CN111612664A CN111612664A CN202010441045.8A CN202010441045A CN111612664A CN 111612664 A CN111612664 A CN 111612664A CN 202010441045 A CN202010441045 A CN 202010441045A CN 111612664 A CN111612664 A CN 111612664A
- Authority
- CN
- China
- Prior art keywords
- information
- big data
- preset time
- database
- server
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000000694 effects Effects 0.000 claims abstract description 32
- 238000004458 analytical method Methods 0.000 claims abstract description 19
- 238000007405 data analysis Methods 0.000 claims abstract description 16
- 238000012795 verification Methods 0.000 claims description 38
- 238000000034 method Methods 0.000 abstract description 10
- 230000008569 process Effects 0.000 abstract description 6
- 230000009471 action Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000007789 sealing Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Educational Administration (AREA)
- Educational Technology (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a big data-based smart campus platform, which comprises an input module, an acquisition terminal, a big data analysis module, a receiving terminal and a server, wherein the input module comprises: the recording module is used for recording personal identity information and an activity area of a preset time period and storing the personal identity information and the activity area to the server to establish a personal database; the acquisition terminal is used for acquiring the position information of the individual in the campus in a preset time period and sending the position information to the server to be stored in the corresponding individual database; the big data analysis module is used for calling the position information of the personal database in the server and the activity area of the preset time period for analysis, and obtaining the analysis result of the activity area of the person exceeding the preset time period within a period of time; the receiving terminal is used for receiving the analysis result sent by the big data analysis module; the course escaping condition of each student within a period of time can be clearly and visually obtained according to the analysis result, and relevant personnel can conveniently find and process the course escaping condition in time.
Description
Technical Field
The invention belongs to the technical field of smart campuses based on big data analysis, and relates to a smart campus platform based on big data.
Background
In recent years, a traditional digital campus with management information as a core is continuously impacted by advanced technologies such as cloud computing, internet of things, big data, mobile internet and the like. With the popularity of concepts such as "smart earth", "smart city", etc., the "smart campus" is on the go and is referred to the construction schedule by the education system. The smart campus is designed at the top level of national education informatization, is further combed and upgraded on the digital campus, organically connects the physical space and the digital space of the campus by comprehensively utilizing advanced information technologies such as cloud computing, the Internet of things, big data, mobile interconnection, artificial intelligence and the like, constructs an open, efficient and cooperative intelligent informatization platform, realizes the rapid circulation of information such as people, properties, things and the like, and orderly expansion of campus business activities such as teaching, learning, research, management and the like, and creates a new campus mode of intelligent service and management.
The core of a smart campus is a large data center with a high concentration of data. The construction of a campus big data center needs to abandon an organization structure of traditional campus digital service segmentation and sealing, efficiently integrate and fuse service data generated by various application service systems of a campus, and realize the storage and processing of various data in the campus. And then, a campus daily application knowledge base is established by adopting a data mining and big data analysis method, the rule of things in the campus is mastered, and personalized, timely and active intelligent services are provided for teacher and student user groups through various intelligent terminals.
In the prior art, students escape from classes in class time in a campus generally, even a part of students often escape from classes, but related personnel cannot clearly master information of all the students escaping from classes, so that the problem that learning is influenced by negligence of the related personnel on a part of the students escaping from classes is caused.
Disclosure of Invention
The invention aims to: the intelligent campus platform based on big data is provided, the phenomenon that students escape from classes in the class time of the campus ubiquitous is solved, even a part of students often escape from classes, but related personnel can not clearly master the information of all the students escaping from classes, and therefore the problem that learning is influenced due to the fact that a part of the students escaping from classes are neglected by the related personnel is solved.
The technical scheme adopted by the invention is as follows:
wisdom campus platform based on big data, including type module, acquisition terminal, big data analysis module, receiving terminal and server, wherein:
the recording module is used for recording personal identity information and an activity area of a preset time period and storing the personal identity information and the activity area to the server to establish a personal database;
the acquisition terminal is used for acquiring the position information of the individual in the campus in a preset time period and sending the position information to the server to be stored in the corresponding individual database;
the big data analysis module is used for calling the position information of the personal database in the server and the activity area of the preset time period for analysis, and obtaining the analysis result of the activity area of the person exceeding the preset time period within a period of time;
and the receiving terminal is used for receiving the analysis result sent by the big data analysis module.
Further, the input module is further configured to input individual fingerprint information or/and face information and transmit the fingerprint information or/and face information to a data server, and the data server stores the fingerprint information or/and face information in a corresponding database.
The system further comprises a verification module used for sending verification information to the acquisition terminal in a preset time period, the acquisition terminal acquires individual fingerprint information or/and face information and uploads the individual fingerprint information or/and face information to the verification module, and the verification module calls the fingerprint information or/and face information in the individual database for verification.
Further, the verification module randomly generates verification information at least once in any time node section of preset time.
The system further comprises an early warning module, wherein the early warning module is used for acquiring time information of an activity area of which the personal position information exceeds a preset time period, and sending early warning information to a receiving terminal when the time information exceeds the preset time.
Furthermore, the acquisition terminal is also used for uploading the reporting and preparing information input by the user to the receiving terminal, the receiving terminal receives the reporting and preparing information for authentication, the reporting and preparing information is transmitted to the server and stored in the corresponding personal database after the authentication is finished, and the server sends an instruction according to the reporting and preparing information to control the acquisition terminal to stop acquiring the position information of the person in the campus at any preset time period.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. according to the intelligent campus platform based on big data, identity information of students and activity areas of preset time periods are input through the input module and stored in the server to establish a personal database, position information of the students is collected in the preset time periods through the collection terminal, the big data analysis module calls the position information of the personal database in the server and the activity areas of the preset time periods to analyze, an analysis result of the activity areas of the individuals exceeding the preset time periods in a period of time is obtained and sent to the receiving terminal, the class escaping condition of each student in a period of time can be clearly and visually obtained according to the analysis result, and relevant personnel can find and process the information in time.
2. According to the big data-based smart campus platform, the verification module sends verification information to the acquisition terminal in a preset time period, the acquisition terminal receives the verification information and acquires fingerprint information or/and face information of a student and uploads the fingerprint information or/and the face information to the verification module, and the verification module verifies whether the fingerprint information or/and the face information correspond to the student or not, so that the student is prevented from impersonating a class scene by carrying the acquisition terminal with others.
3. According to the smart campus platform based on big data, the verification module generates verification information at least once randomly for any time node in a preset time period, and students are prevented from mastering the transmission time and times of the verification information so as to escape from classes in a planned way.
4. According to the smart campus platform based on big data, the time information of the activity area of the individual position information exceeding the preset time period is obtained through the early warning module, and when the time information exceeds the preset time, the early warning information is sent to the receiving terminal for early warning, so that related personnel can know the situation in time.
5. According to the intelligent campus platform based on big data, the reporting and preparing information is input through the acquisition terminal and transmitted to the receiving terminal, relevant personnel authenticate the reporting and preparing information through the receiving terminal and upload the reporting and preparing information to the server, and the server can conveniently control the acquisition terminal to stop acquiring the position information of the person in the campus in any preset time period according to an instruction sent by the reporting and preparing information.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, 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 invention and therefore should not be considered as limiting the scope, and that for those skilled in the art, other relevant drawings can be obtained according to the drawings without inventive effort, wherein:
FIG. 1 is a schematic diagram of the framework of embodiment 1 of the present invention;
FIG. 2 is a schematic diagram of the framework of embodiment 2 of the present invention;
fig. 3 is a schematic diagram of the framework of embodiment 4 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Example 1
As shown in fig. 1, the smart campus platform based on big data provided in the embodiment of the present invention includes an entry module, a collection terminal, a big data analysis module, a receiving terminal, and a server, wherein:
the recording module is used for recording personal identity information and an activity area of a preset time period and storing the personal identity information and the activity area to the server to establish a personal database;
the acquisition terminal is used for acquiring the position information of the individual in the campus in a preset time period and sending the position information to the server to be stored in the corresponding individual database;
the big data analysis module is used for calling the position information of the personal database in the server and the activity area of the preset time period for analysis, and obtaining the analysis result of the activity area of the person exceeding the preset time period within a period of time;
and the receiving terminal is used for receiving the analysis result sent by the big data analysis module.
The invention comprises the following steps: the identity information of students and the activity area of a preset time period are input through an input module and stored in a server to establish a personal database, it needs to be explained that the identity information in the establishment of the personal database can be information with identity uniqueness, such as student certificate numbers and identity certificate numbers of the students, corresponding curriculum schedules can be obtained according to the identity information, the class time and the class place can be determined according to the curriculum in the corresponding curriculum schedule, then the activity area of the preset time period is set according to the class place, and then the mapping relation of the activity area of the preset time period corresponding to the identity information is established to establish the personal database; the position information of the students is acquired by the acquisition terminal in a preset time period, and it needs to be explained that the acquisition terminal can adopt a GPS or a Beidou positioning system to acquire the position information of the students; the big data analysis module calls position information of a personal database in the server and an activity area of a preset time period to analyze, obtains an analysis result of the activity area exceeding the preset time period within a period of time of an individual and sends the analysis result to the receiving terminal, and it needs to be explained that screening can be carried out according to the actual time of the activity area exceeding the preset time period within the preset time period, the actual time of the activity area exceeding the preset time period within the preset time period is not counted into the analysis result in a short time, so that the course escaping condition of each student within a period of time can be clearly and visually obtained according to the analysis result, and relevant personnel can timely find and process the course escaping condition.
Example 2
On the basis of the embodiment 1, the input module is further configured to input personal fingerprint information or/and face information and transmit the fingerprint information or/and face information to a data server, and the data server stores the fingerprint information or/and face information to a corresponding database; as shown in fig. 2, the system further includes a verification module, configured to send verification information to the collection terminal in a preset time period, where the collection terminal collects fingerprint information or/and face information of an individual and uploads the fingerprint information or/and face information to the verification module, and the verification module retrieves the fingerprint information or/and face information in the individual database for verification.
In the embodiment, the verification module sends the verification information to the acquisition terminal in a preset time period, the acquisition terminal receives the verification information and uploads the fingerprint information or/and face information of the student to the verification module, and the verification module verifies whether the fingerprint information or/and the face information correspond to the student or not, so that the student is prevented from pretending to be a class scene by carrying the acquisition terminal by other people. It should be noted that the acquisition terminal is provided with a fingerprint input module or/and a face input module, the acquisition terminal acquires fingerprint information or/and face information through the fingerprint input module or/and the face input module, and in addition, the acquisition terminal receives verification information, but the student does not complete the input of the fingerprint information or/and the face information within the specified time, and the default is that the student is not in the field of the class.
Example 3
On the basis of the embodiment 2, the verification module randomly generates verification information at least once in any time node section of the preset time.
In this embodiment, the verification module generates the verification information at least once at any time node in the preset time period, and it should be noted that the at least once verification information generated at any time node in the preset time period means that the verification information is generated at non-fixed time in the preset time period, and the number of times of the verification information is also random, possibly once or multiple times, so as to avoid that students know the transmission time and the number of times of the verification information to make a planned course escape.
Example 4
On the basis of the embodiment 1, as shown in fig. 3, the system further includes an early warning module, where the early warning module is configured to acquire time information of an activity area where the personal location information exceeds a preset time period, and send early warning information to the receiving terminal when the time information exceeds the preset time period.
In the embodiment, the time information of the activity area of which the position information of the individual exceeds the preset time period is acquired through the early warning module, and when the time information exceeds the preset time, the early warning information is sent to the receiving terminal for early warning, so that related personnel can know the situation in time.
Example 5
On the basis of the embodiment 1, the collection terminal is further configured to enable a user to input provisioning information and upload the provisioning information to a receiving terminal, the receiving terminal receives the provisioning information for authentication, the provisioning information is transmitted to the server after the authentication is completed and stored in a corresponding personal database, and the server sends an instruction according to the provisioning information to control the collection terminal to stop collecting the location information of the person in the campus at any preset time period.
In this embodiment, the reporting and preparing information is input through the collection terminal and transmitted to the receiving terminal, and the relevant person authenticates and uploads the reporting and preparing information to the server through the receiving terminal, so that the server can send an instruction to control the collection terminal to stop collecting the position information of the person in the campus at any preset time period according to the reporting and preparing information.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the present invention, and any modifications, equivalents and improvements made by those skilled in the art within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (6)
1. Wisdom campus platform based on big data, its characterized in that: including type module, acquisition terminal, big data analysis module, receiving terminal and server, wherein:
the recording module is used for recording personal identity information and an activity area of a preset time period and storing the personal identity information and the activity area to the server to establish a personal database;
the acquisition terminal is used for acquiring the position information of the individual in the campus in a preset time period and sending the position information to the server to be stored in the corresponding individual database;
the big data analysis module is used for calling the position information of the personal database in the server and the activity area of the preset time period for analysis, and obtaining the analysis result of the activity area of the person exceeding the preset time period within a period of time;
and the receiving terminal is used for receiving the analysis result sent by the big data analysis module.
2. The big data-based wisdom campus platform of claim 1, wherein: the input module is also used for inputting individual fingerprint information or/and face information and transmitting the fingerprint information or/and the face information to the data server, and the data server stores the fingerprint information or/and the face information to the corresponding database.
3. The big data-based wisdom campus platform of claim 2, wherein: the system comprises a personal database, a verification module and a verification module, wherein the personal database comprises a fingerprint database and a face database, the fingerprint database comprises a fingerprint database and a face database, the face database comprises a fingerprint database and a face database.
4. The big data-based wisdom campus platform of claim 3, wherein: the verification module randomly generates at least one verification message at any time node section of preset time.
5. The big data-based wisdom campus platform of claim 1, wherein: the system further comprises an early warning module, wherein the early warning module is used for acquiring time information of an activity area of which the position information of an individual exceeds a preset time period, and sending early warning information to a receiving terminal when the time information exceeds the preset time.
6. The big data-based wisdom campus platform of claim 1, wherein: the acquisition terminal is also used for inputting the reporting and standby information by a user and uploading the reporting and standby information to the receiving terminal, the receiving terminal receives the reporting and standby information for authentication, the reporting and standby information is transmitted to the server and stored in the corresponding personal database after the authentication is finished, and the server sends an instruction according to the reporting and standby information to control the acquisition terminal to stop acquiring the position information of the person in the campus at any preset time period.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010441045.8A CN111612664A (en) | 2020-05-22 | 2020-05-22 | Big data-based smart campus platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010441045.8A CN111612664A (en) | 2020-05-22 | 2020-05-22 | Big data-based smart campus platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111612664A true CN111612664A (en) | 2020-09-01 |
Family
ID=72199512
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010441045.8A Pending CN111612664A (en) | 2020-05-22 | 2020-05-22 | Big data-based smart campus platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111612664A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113177490A (en) * | 2021-05-07 | 2021-07-27 | 中国铁道科学研究院集团有限公司 | Passenger travel information query method and device |
| CN113592415A (en) * | 2021-01-11 | 2021-11-02 | 安徽方正北斗电子科技有限公司 | Intelligent application system |
| CN116051330A (en) * | 2023-03-31 | 2023-05-02 | 深圳市黑金工业制造有限公司 | Intelligent campus security management system and method based on big data |
| CN116452379A (en) * | 2022-12-26 | 2023-07-18 | 西安大数网络科技有限公司 | Intelligent campus management system based on big data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090280468A1 (en) * | 2008-05-06 | 2009-11-12 | David Yaskin | Systems and methods for providing early warning of student absence |
| CN107862771A (en) * | 2017-11-13 | 2018-03-30 | 安徽辛巴教育科技有限公司 | A kind of Intelligent campus service platform |
| CN109246615A (en) * | 2018-10-11 | 2019-01-18 | 武汉微道云信息科技有限公司 | The recording method of cloud service intelligent Checking on Work Attendance, system, Cloud Server and storage medium |
| CN109255850A (en) * | 2018-07-12 | 2019-01-22 | 浙江工业大学 | A kind of student based on GIS attends class Work attendance method |
-
2020
- 2020-05-22 CN CN202010441045.8A patent/CN111612664A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090280468A1 (en) * | 2008-05-06 | 2009-11-12 | David Yaskin | Systems and methods for providing early warning of student absence |
| CN107862771A (en) * | 2017-11-13 | 2018-03-30 | 安徽辛巴教育科技有限公司 | A kind of Intelligent campus service platform |
| CN109255850A (en) * | 2018-07-12 | 2019-01-22 | 浙江工业大学 | A kind of student based on GIS attends class Work attendance method |
| CN109246615A (en) * | 2018-10-11 | 2019-01-18 | 武汉微道云信息科技有限公司 | The recording method of cloud service intelligent Checking on Work Attendance, system, Cloud Server and storage medium |
Non-Patent Citations (3)
| Title |
|---|
| 姜建峰: "高校智能定位服务分析系统的设计与应用", 《科技视界》 * |
| 徐慧英等: "数字校园一卡通中的身份验证技术研究及应用", 《计算机技术与发展》 * |
| 秦铭谦等: "人脸识别技术在智慧校园中的应用研究", 《数字技术与应用》 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113592415A (en) * | 2021-01-11 | 2021-11-02 | 安徽方正北斗电子科技有限公司 | Intelligent application system |
| CN113177490A (en) * | 2021-05-07 | 2021-07-27 | 中国铁道科学研究院集团有限公司 | Passenger travel information query method and device |
| CN116452379A (en) * | 2022-12-26 | 2023-07-18 | 西安大数网络科技有限公司 | Intelligent campus management system based on big data |
| CN116452379B (en) * | 2022-12-26 | 2024-02-13 | 西安大数网络科技有限公司 | Intelligent campus management system based on big data |
| CN116051330A (en) * | 2023-03-31 | 2023-05-02 | 深圳市黑金工业制造有限公司 | Intelligent campus security management system and method based on big data |
| CN116051330B (en) * | 2023-03-31 | 2023-10-27 | 深圳市黑金工业制造有限公司 | Intelligent campus security management system and method based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111612664A (en) | Big data-based smart campus platform | |
| US10380333B1 (en) | Multi-factor authentication for determining whether a user is authorized to take an examination | |
| CN110598110B (en) | Service pushing method and device | |
| CN111567017A (en) | Attendance verification for mobile devices | |
| CN107798552B (en) | Activity information pushing method, system, server and medium | |
| CN109300064A (en) | A kind of wechat public platform based recognition of face and two dimensional code are attended class anti-allograph system | |
| CN111429321A (en) | Wisdom campus management system based on thing networking | |
| CN108805765A (en) | A kind of tutoring system | |
| US9508266B2 (en) | Cross-classroom and cross-institution item validation | |
| KR20150133055A (en) | An electronic attendance method with a wireless access point | |
| CN109857829A (en) | A kind of geographic information data fusion system | |
| Baharin et al. | Student absenteeism monitoring system using Bluetooth smart location-based technique | |
| CN109636233A (en) | The method and system of comparison threshold value identification behavioural characteristic confidence level based on building | |
| Chauhan et al. | Cloud based smart virtual interactive environment for work in universities using IOT | |
| Azmi et al. | UNITEN Smart Attendance System (UniSas) Using Beacons Sensor | |
| Nizomutdinov | Telegram Bots and Groups as a Communication Channel between Authorities and Citizens | |
| CN113645495A (en) | Method, system and storage medium for realizing electronic student identity card | |
| CN106651694A (en) | Overseas study communication platform | |
| Dake et al. | Internet of Things (IoT) Applications in Education: Benefits and Implementation Challenges in Ghanaian Tertiary Institutions. | |
| US10818194B1 (en) | Systems and methods for providing access to information, instructions and/or training material | |
| KR101135199B1 (en) | Method and system for providing social network online education service with location information of mobile terminal | |
| Scanlon | Identifying the impact of friends on their peers academic performance | |
| Modiri et al. | Providing security framework for holding electronic examinations in virtual universities | |
| Ghazi et al. | The VSP App Adoption by Royal Malaysia Police (RMP) in Law Enforcement | |
| Ramakrishnan et al. | Wi-Fi Based Smart Attendance Monitoring System |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200901 |
|
| RJ01 | Rejection of invention patent application after publication |