CN108446547A - A kind of method of computer booting - Google Patents
A kind of method of computer booting Download PDFInfo
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- CN108446547A CN108446547A CN201810211221.1A CN201810211221A CN108446547A CN 108446547 A CN108446547 A CN 108446547A CN 201810211221 A CN201810211221 A CN 201810211221A CN 108446547 A CN108446547 A CN 108446547A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2273—Test methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/22—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing
- G06F11/2284—Detection or location of defective computer hardware by testing during standby operation or during idle time, e.g. start-up testing by power-on test, e.g. power-on self test [POST]
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Abstract
The invention belongs to computer booting technical fields, disclose a kind of method of computer booting, and the system of the computer booting includes：Power management module, iris capturing module, sound acquisition module, central control module, data memory module, fault detection module, malfunction coefficient module, starting module.The present invention is switched on by iris scan module, sound acquisition module various ways, improves the convenience of booting, simple, practical；Booting failure cause can be detected in start process by fault detection module simultaneously, and lamp carries out display different faults problem in different colors by malfunction coefficient module, fast and easy finds out failure cause.
Description
Technical field
The invention belongs to computer booting technical field more particularly to a kind of methods of computer booting.
Background technology
Computer (computer) is commonly called as computer, is a kind of modern electronic computer device for supercomputing, Ke Yijin
Row numerical computations, and logical calculated can be carried out, also have the function of store-memory.It is that can be run according to program, automatic, high speed
Handle the modernization intelligent electronic device of mass data.It is made of hardware system and software systems, is fitted without any software
Computer be known as bare machine.Supercomputer, industrial control computer, network computer, personal computer, embedded can be divided into
Five class of computer, more advanced computer have biocomputer, photonic computer, quantum computer etc..However, existing calculating
For machine start-up mode by being booted up manually by power button, mode is single, troublesome in poeration；If the failure that is switched on simultaneously cannot be shown
Failure cause causes maintenance difficulty to greatly increase.
In conclusion problem of the existing technology is：Existing computer booting mode by manually press power button into
Row booting, mode is single, troublesome in poeration；If the failure that is switched on simultaneously cannot show failure cause, maintenance difficulty is caused to increase
Add.
Invention content
In view of the problems of the existing technology, the present invention provides a kind of methods of computer booting.
The invention is realized in this way a kind of system of computer booting includes：
Power management module is connect with central control module, for being managed operation to power supply, and is powered；
Iris capturing module, connect with central control module, and the iris information for acquiring user is simultaneously saved in data and deposits
Store up module；
Sound acquisition module is connect with central control module, and the acoustic information for acquiring user is simultaneously saved in data and deposits
Store up module；
The sound acquisition module sound collection signal operation during cluster head variation the specific steps are：
The first step, middleware execute cluster head selection analysis algorithm, and getting around may cause the region in " cavity " to use barrier as possible
Hinder the predicted method of object；To make data packet get around the node in empty boundary in advance, the probability that cavity occurs is reduced, improves communication
Packet arrival rate finally carries out both candidate nodes optimization with simulated annealing；
Second step, if no adjacent node can bypass, it is necessary to which node of the selection in the region for leading to cavity then makes
The node in the region only takes on a cluster head as possible；
Third walks, after cluster algorithm has executed, if no adjacent node can bypass, it is necessary to which selection, which is in, leads to sky
The node in the region in hole, then make the node in the region only take on a cluster head as possible, and middleware executes LEACH in simulating WSN
Algorithm, the cluster head simulated are labeled as candidate cluster head, the NLOS nodes that will be analyzed, and energy is more than the candidate cluster head of threshold value
It is designated as cluster head, to evade hot-zone and NLOS, the whole network broadcast is carried out by base station and appoints cluster head；
4th step, when leader cluster node detects that self rest energy reaches energy threshold and then sends message MSG_ to base station
CLUSTER_EMPTY, base station computer executes algorithm and reanalyses closed area model and energy selection algorithm, and selects replacement
Cluster head；
5th step, base station send the cluster head of ID to be downgraded to ordinary node to the whole network broadcast release is primary, and appoints new choosing
The pre-selection cluster head gone out；
6th step, if cluster head, due to physical cause die by visitation of God, base station does not receive the cluster in a communication cycle
The data packet that head comes, then send MSG_ISALIVE information and give the cluster head, if not receiving cluster head hair in a given time period
The MSG_ALIVE information and ID come, then analyze and appointed in the model area in the partial closure space of the sub-clustering and newly selected
Cluster head；
7th step, when in the WSN networks interior addition new node or already present node leave, node motion, only need to send out
Send MSG_JOIN or MSG_LEAVE, MSG_MOVE message and ID to base station computer, base station computer is rebuild automatically
The model in the partial closure space of the node, and judge whether according to actual conditions the cluster head of the gravity treatment part；
Central control module, with power management module, iris capturing module, sound acquisition module, data memory module, event
Hinder detection module, malfunction coefficient module, starting module connection, for dispatching modules normal work；
The specific calculating step of the direct trust value of the central control module is：
Acquire the interaction times of n timeslice between network observations node i and node j：
Intervals t is chosen as an observation time piece, with observer nodes i and tested node j in 1 timeslice
Interior interaction times are denoted as y as observation index, true interaction timest, the y of n timeslice is recorded successivelyn, and preserved
In the communications records table of node i；
Predict the interaction times of (n+1)th timeslice：
According to the interaction times settling time sequence of collected n timeslice, predicted down using third index flatness
Interaction times between one timeslice n+1 interior nodes i and j are predicted interaction times, are denoted asCalculation formula is as follows：
Predictive coefficient an、bn、cnValue can be calculated by following formula：
Wherein：It is primary, secondary, Three-exponential Smoothing number respectively, is calculated by following formula
It arrives：
It is the initial value of third index flatness, value is
α is smoothing factor (0 ＜ α ＜ 1), embodies the time attenuation characteristic of trust, i.e., timeslice closer from predicted value
ytWeight is bigger, the y of the timeslice remoter from predicted valuetWeight is smaller；Usually, if data fluctuations are larger, and long-term trend
Amplitude of variation is larger, and α when obviously rapidly rising or falling trend, which is presented, should take higher value (0.6~0.8), can increase in the recent period
Influence of the data to prediction result；When data have a fluctuation, but long-term trend variation is little, α can between 0.1~0.4 value；
If data fluctuations are steady, α should take smaller value (0.05~0.20)；
Calculate direct trust value：
The direct trust value TD of node jijTo predict interaction timesWith true interaction times yn+1Relative error,
In step 2, the specific meter of indirect trust values is calculated using calculating formula obtained from multipath trust recommendation mode
Calculating step is：
Collect direct trust value of the trusted node to node j：
Node i meets TD to allikThe credible associated nodes of≤φ inquire its direct trust value to node j, wherein φ
For the believability threshold of recommended node, according to the precision prescribed of confidence level, the value range of φ is 0~0.4；
Calculate indirect trust values：
Trust value collected by COMPREHENSIVE CALCULATING obtains the indirect trust values TR of node jij,
Wherein, had with j nodes in the associated nodes that Set (i) is observer nodes i and interacted and its direct trust value meets TDik≤ φ's
Node set；
In step 3, show that the specific calculating of comprehensive trust value walks by direct trust value and indirect trust values conformity calculation
Suddenly it is：
Comprehensive trust value (Tij) calculation formula it is as follows：Tij=β TDij+(1-β)TRij, wherein β (0≤β≤1) expressions are directly
The weight for connecing trust value, as β=0, node i and node j do not have a direct interaction relationship, the calculating of comprehensive trust value directly from
In indirect trust values, it is more objective to judge；As β=1, node i is to the synthesis trust value of node j all from directly trust
Value judges more subjectivity in this case, practical to calculate the value that determine β as needed；
Data memory module is connect with central control module, for storing client iris and acoustic information；
Fault detection module is connect with central control module, for being detected to boot-strap circuit, boot program；
Malfunction coefficient module, connect with central control module, for the lamp display circuit failure by different colours, power supply
The information such as failure, program mal；
Starting module is connect with central control module, for passing through iris or sound in user's matched data memory module
Carry out startup booting.
A kind of method of computer booting includes the following steps：
Step 1 proceeds by power supply by power management module；User passes through iris capturing module, sound acquisition module
The iris of user will be acquired, acoustic information is sent to central control module；
Step 2, central control module start starting module and are opened by iris in matched data memory module or sound
Dynamic booting；
Step 3 is detected boot-strap circuit, boot program by fault detection module in start process；
Step 4, after detection, lamp display circuit failure, power failure, journey that different colours are passed through by malfunction coefficient module
The information such as sequence failure.
Further, the starting module includes：Signal receiving module, startup self-detection module, program load-on module；
Signal receiving module, for receiving starting-up signal such as iris or sound；
Startup self-detection module, whether input-output system is wrong when for detecting booting, without staggering the time, starts boot program；
It staggers the time, then cannot be started up；
Program load-on module is staggered the time for startup self-detection module detection nothing, loading system program.
Advantages of the present invention and good effect are：The present invention passes through iris scan module, sound acquisition module various ways
Booting, improves the convenience of booting, simple, practical；Booting can be detected in start process by fault detection module simultaneously
Failure cause, and lamp carries out display different faults problem in different colors by malfunction coefficient module, fast and easy finds out failure
Reason.
Description of the drawings
Fig. 1 is the method flow diagram that the present invention implements the computer booting provided.
Fig. 2 is the system structure diagram that the present invention implements the computer booting provided.
In Fig. 2：1, power management module；2, iris capturing module；3, sound acquisition module；4, central control module；5、
Data memory module；6, fault detection module；7, malfunction coefficient module；8, starting module.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
Below in conjunction with the accompanying drawings and specific embodiment is further described the application principle of the present invention.
As shown in Figure 1, a kind of method of computer booting provided by the invention includes the following steps：
Step S101 proceeds by power supply by power management module；User passes through iris capturing module, sound collection mould
Block will acquire the iris of user, acoustic information is sent to central control module；
Step S102, central control module starts starting module to be carried out by iris in matched data memory module or sound
Start booting；
Step S103 is detected boot-strap circuit, boot program by fault detection module in start process；
Step S104, after detection, by malfunction coefficient module by the lamp display circuit failure of different colours, power failure,
The information such as program mal.
As shown in Fig. 2, computer booting system provided by the invention includes：Power management module 1, iris capturing module 2,
Sound acquisition module 3, central control module 4, data memory module 5, fault detection module 6, malfunction coefficient module 7, booting mould
Block 8.
Power management module 1 is connect with central control module 4, for being managed operation to power supply, and is powered；
Iris capturing module 2 is connect with central control module 4, and the iris information for acquiring user is simultaneously saved in data
Memory module 5；
Sound acquisition module 3 is connect with central control module 4, and the acoustic information for acquiring user is simultaneously saved in data
Memory module 5；
Central control module 4 stores mould with power management module 1, iris capturing module 2, sound acquisition module 3, data
Block 5, fault detection module 6, malfunction coefficient module 7, starting module 8 connect, for dispatching modules normal work；
Data memory module 5 is connect with central control module 4, for storing client iris and acoustic information；
Fault detection module 6 is connect with central control module 4, for being detected to boot-strap circuit, boot program；
Malfunction coefficient module 7 is connect with central control module 4, for the lamp display circuit failure by different colours, electricity
The information such as source failure, program mal；
Starting module 8 is connect with central control module 4, for passing through iris or sound in user's matched data memory module 5
Sound carries out startup booting.
The sound acquisition module sound collection signal operation during cluster head variation the specific steps are：
The first step, middleware execute cluster head selection analysis algorithm, and getting around may cause the region in " cavity " to use barrier as possible
Hinder the predicted method of object；To make data packet get around the node in empty boundary in advance, the probability that cavity occurs is reduced, improves communication
Packet arrival rate finally carries out both candidate nodes optimization with simulated annealing；
Second step, if no adjacent node can bypass, it is necessary to which node of the selection in the region for leading to cavity then makes
The node in the region only takes on a cluster head as possible；
Third walks, after cluster algorithm has executed, if no adjacent node can bypass, it is necessary to which selection, which is in, leads to sky
The node in the region in hole, then make the node in the region only take on a cluster head as possible, and middleware executes LEACH in simulating WSN
Algorithm, the cluster head simulated are labeled as candidate cluster head, the NLOS nodes that will be analyzed, and energy is more than the candidate cluster head of threshold value
It is designated as cluster head, to evade hot-zone and NLOS, the whole network broadcast is carried out by base station and appoints cluster head；
4th step, when leader cluster node detects that self rest energy reaches energy threshold and then sends message MSG_ to base station
CLUSTER_EMPTY, base station computer executes algorithm and reanalyses closed area model and energy selection algorithm, and selects replacement
Cluster head；
5th step, base station send the cluster head of ID to be downgraded to ordinary node to the whole network broadcast release is primary, and appoints new choosing
The pre-selection cluster head gone out；
6th step, if cluster head, due to physical cause die by visitation of God, base station does not receive the cluster in a communication cycle
The data packet that head comes, then send MSG_ISALIVE information and give the cluster head, if not receiving cluster head hair in a given time period
The MSG_ALIVE information and ID come, then analyze and appointed in the model area in the partial closure space of the sub-clustering and newly selected
Cluster head；
7th step, when in the WSN networks interior addition new node or already present node leave, node motion, only need to send out
Send MSG_JOIN or MSG_LEAVE, MSG_MOVE message and ID to base station computer, base station computer is rebuild automatically
The model in the partial closure space of the node, and judge whether according to actual conditions the cluster head of the gravity treatment part；
The specific calculating step of the direct trust value of the central control module is：
Acquire the interaction times of n timeslice between network observations node i and node j：
Intervals t is chosen as an observation time piece, with observer nodes i and tested node j in 1 timeslice
Interior interaction times are denoted as y as observation index, true interaction timest, the y of n timeslice is recorded successivelyn, and preserved
In the communications records table of node i；
Predict the interaction times of (n+1)th timeslice：
According to the interaction times settling time sequence of collected n timeslice, predicted down using third index flatness
Interaction times between one timeslice n+1 interior nodes i and j are predicted interaction times, are denoted asCalculation formula is as follows：
Predictive coefficient an、bn、cnValue can be calculated by following formula：
Wherein：It is primary, secondary, Three-exponential Smoothing number respectively, is calculated by following formula
It arrives：
It is the initial value of third index flatness, value is
α is smoothing factor (0 ＜ α ＜ 1), embodies the time attenuation characteristic of trust, i.e., timeslice closer from predicted value
ytWeight is bigger, the y of the timeslice remoter from predicted valuetWeight is smaller；Usually, if data fluctuations are larger, and long-term trend
Amplitude of variation is larger, and α when obviously rapidly rising or falling trend, which is presented, should take higher value (0.6~0.8), can increase in the recent period
Influence of the data to prediction result；When data have a fluctuation, but long-term trend variation is little, α can between 0.1~0.4 value；
If data fluctuations are steady, α should take smaller value (0.05~0.20)；
Calculate direct trust value：
The direct trust value TD of node jijTo predict interaction timesWith true interaction times yn+1Relative error,
In step 2, the specific meter of indirect trust values is calculated using calculating formula obtained from multipath trust recommendation mode
Calculating step is：
Collect direct trust value of the trusted node to node j：
Node i meets TD to allikThe credible associated nodes of≤φ inquire its direct trust value to node j, wherein φ
For the believability threshold of recommended node, according to the precision prescribed of confidence level, the value range of φ is 0~0.4；
Calculate indirect trust values：
Trust value collected by COMPREHENSIVE CALCULATING obtains the indirect trust values TR of node jij,
Wherein, had with j nodes in the associated nodes that Set (i) is observer nodes i and interacted and its direct trust value meets TDik≤ φ's
Node set；
In step 3, show that the specific calculating of comprehensive trust value walks by direct trust value and indirect trust values conformity calculation
Suddenly it is：
Comprehensive trust value (Tij) calculation formula it is as follows：Tij=β TDij+(1-β)TRij, wherein β (0≤β≤1) expressions are directly
The weight for connecing trust value, as β=0, node i and node j do not have a direct interaction relationship, the calculating of comprehensive trust value directly from
In indirect trust values, it is more objective to judge；As β=1, node i is to the synthesis trust value of node j all from directly trust
Value judges more subjectivity in this case, practical to calculate the value that determine β as needed；
Starting module 8 provided by the invention includes：Signal receiving module, startup self-detection module, program load-on module；
Signal receiving module, for receiving starting-up signal such as iris or sound；
Startup self-detection module, whether input-output system is wrong when for detecting booting, without staggering the time, starts boot program；
It staggers the time, then cannot be started up；
Program load-on module is staggered the time for startup self-detection module detection nothing, loading system program.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.
Claims (3)
1. a kind of system of computer booting, which is characterized in that the system of the computer booting includes：
Power management module is connect with central control module, for being managed operation to power supply, and is powered；
Iris capturing module, connect with central control module, and the iris information for acquiring user is simultaneously saved in data storage mould
Block；
Sound acquisition module is connect with central control module, and the acoustic information for acquiring user is simultaneously saved in data storage mould
Block；
The sound acquisition module sound collection signal operation during cluster head variation the specific steps are：
The first step, middleware execute cluster head selection analysis algorithm, and getting around may cause the region in " cavity " to use barrier as possible
Predicted method；To make data packet get around the node in empty boundary in advance, the probability that cavity occurs is reduced, improves communication packet
Arrival rate finally carries out both candidate nodes optimization with simulated annealing；
Second step, if no adjacent node can bypass, it is necessary to node of the selection in the region for leading to cavity, the areas Ze Shigai
The node in domain only takes on a cluster head as possible；
Third walks, after cluster algorithm has executed, if no adjacent node can bypass, it is necessary to which selection, which is in, leads to cavity
The node in region then makes the node in the region only take on a cluster head as possible, and middleware executes LEACH algorithms in simulating WSN,
The cluster head simulated is labeled as candidate cluster head, the NLOS nodes that will be analyzed, and the candidate cluster head that energy is more than threshold value is specified
As cluster head, to evade hot-zone and NLOS, the whole network broadcast is carried out by base station and appoints cluster head；
4th step, when leader cluster node detects that self rest energy reaches energy threshold and then sends message MSG_ to base station
CLUSTER_EMPTY, base station computer executes algorithm and reanalyses closed area model and energy selection algorithm, and selects replacement
Cluster head；
5th step, base station to the whole network broadcast exempt it is primary send the cluster head of ID to be downgraded to ordinary node, and appoint and newly select
Preselect cluster head；
6th step, if cluster head, due to physical cause die by visitation of God, base station does not receive the cluster head in a communication cycle
Data packet, then send MSG_ISALIVE information and give the cluster head, if not receiving what the cluster head was sent in a given time period
MSG_ALIVE information and ID are then analyzed in the model area in the partial closure space of the sub-clustering and are appointed the cluster head newly selected；
7th step, when in the WSN networks interior addition new node or already present node leave, node motion, only need to send
To base station computer, base station computer rebuilds this automatically by MSG_JOIN or MSG_LEAVE, MSG_MOVE message and ID
The model in the partial closure space of node, and judge whether according to actual conditions the cluster head of the gravity treatment part；
Central control module is examined with power management module, iris capturing module, sound acquisition module, data memory module, failure
Module, malfunction coefficient module, starting module connection are surveyed, for dispatching modules normal work；
The specific calculating step of the direct trust value of the central control module is：
Acquire the interaction times of n timeslice between network observations node i and node j：
Intervals t is chosen as an observation time piece, with observer nodes i and tested node j in 1 timeslice
Interaction times are denoted as y as observation index, true interaction timest, the y of n timeslice is recorded successivelyn, and save it in section
In the communications records table of point i；
Predict the interaction times of (n+1)th timeslice：
According to the interaction times settling time sequence of collected n timeslice, predicted using third index flatness next
Interaction times between timeslice n+1 interior nodes i and j are predicted interaction times, are denoted asCalculation formula is as follows：
Predictive coefficient an、bn、cnValue can be calculated by following formula：
Wherein：It is primary, secondary, Three-exponential Smoothing number respectively, is calculated by following formula：
It is the initial value of third index flatness, value is
α is smoothing factor (0 ＜ α ＜ 1), embodies the time attenuation characteristic of trust, i.e., the y of timeslice closer from predicted valuetWeight
It is bigger, the y of the timeslice remoter from predicted valuetWeight is smaller；Usually, if data fluctuations are larger, and long-term trend change
Amplitude is larger, and α when obviously rapidly rising or falling trend, which is presented, should take higher value (0.6~0.8), can increase Recent data
Influence to prediction result；When data have a fluctuation, but long-term trend variation is little, α can between 0.1~0.4 value；If
Data fluctuations are steady, and α should take smaller value (0.05~0.20)；
Calculate direct trust value：
The direct trust value TD of node jijTo predict interaction timesWith true interaction times yn+1Relative error,
In step 2, the specific calculating that indirect trust values are calculated using calculating formula obtained from multipath trust recommendation mode is walked
Suddenly it is：
Collect direct trust value of the trusted node to node j：
Node i meets TD to allikThe credible associated nodes of≤φ inquire that its direct trust value to node j, wherein φ are to push away
The believability threshold for recommending node, according to the precision prescribed of confidence level, the value range of φ is 0~0.4；
Calculate indirect trust values：
Trust value collected by COMPREHENSIVE CALCULATING obtains the indirect trust values TR of node jij,Its
In, had with j nodes in the associated nodes that Set (i) is observer nodes i and interacted and its direct trust value meets TDikThe section of≤φ
Point set；
In step 3, the specific calculating step of comprehensive trust value is obtained by direct trust value and indirect trust values conformity calculation
For：
Comprehensive trust value (Tij) calculation formula it is as follows：Tij=β TDij+(1-β)TRij, wherein β (0≤β≤1) expressions directly letter
The weight for appointing value, as β=0, node i and node j do not have a direct interaction relationship, between the calculating of comprehensive trust value arises directly from
Trust value is connect, it is more objective to judge；As β=1, node i to the synthesis trust value of node j all from direct trust value,
In this case, judge more subjectivity, it is practical to calculate the value that determine β as needed；
Data memory module is connect with central control module, for storing client iris and acoustic information；
Fault detection module is connect with central control module, for being detected to boot-strap circuit, boot program；
Malfunction coefficient module, connect with central control module, for the lamp display circuit failure by different colours, power supply event
The information such as barrier, program mal；
Starting module is connect with central control module, for being carried out by iris in user's matched data memory module or sound
Start booting.
2. a kind of method of the computer booting of computer booting system as described in claim 1, which is characterized in that the calculating
The method of machine booting includes the following steps：
Step 1 proceeds by power supply by power management module；User will be adopted by iris capturing module, sound acquisition module
Iris, the acoustic information of collection user is sent to central control module；
Step 2, central control module startup starting module by iris in matched data memory module or sound start and be opened
Machine；
Step 3 is detected boot-strap circuit, boot program by fault detection module in start process；
Step 4 after detection, passes through the lamp display circuit failure of different colours, power failure, program event by malfunction coefficient module
The information such as barrier.
3. the method for computer booting as described in claim 1, which is characterized in that the starting module includes：Signal receives
Module, startup self-detection module, program load-on module；
Signal receiving module, for receiving starting-up signal such as iris or sound；
Startup self-detection module, whether input-output system is wrong when for detecting booting, without staggering the time, starts boot program；It is wrong
When, then it cannot be started up；
Program load-on module is staggered the time for startup self-detection module detection nothing, loading system program.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111709037A (en) * | 2020-06-16 | 2020-09-25 | 常州纺织服装职业技术学院 | Computer system for ensuring database security |
| US20220272551A1 (en) * | 2019-11-26 | 2022-08-25 | Huawei Technologies Co., Ltd. | Systems and methods for estimating locations of signal shadowing obstructions and signal reflectors in a wireless communications network |
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