KR102621095B1 - 인공 지능에 의한 카오스 시스템 이상 대응 - Google Patents
인공 지능에 의한 카오스 시스템 이상 대응 Download PDFInfo
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- KR102621095B1 KR102621095B1 KR1020217027725A KR20217027725A KR102621095B1 KR 102621095 B1 KR102621095 B1 KR 102621095B1 KR 1020217027725 A KR1020217027725 A KR 1020217027725A KR 20217027725 A KR20217027725 A KR 20217027725A KR 102621095 B1 KR102621095 B1 KR 102621095B1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/0055—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots with safety arrangements
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/80—Arrangements for reacting to or preventing system or operator failure
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
- G06N5/043—Distributed expert systems; Blackboards
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
- G05B13/0275—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using fuzzy logic only
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/0088—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3013—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is an embedded system, i.e. a combination of hardware and software dedicated to perform a certain function in mobile devices, printers, automotive or aircraft systems
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/55—Detecting local intrusion or implementing counter-measures
- G06F21/552—Detecting local intrusion or implementing counter-measures involving long-term monitoring or reporting
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/55—Detecting local intrusion or implementing counter-measures
- G06F21/554—Detecting local intrusion or implementing counter-measures involving event detection and direct action
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/08—Computing arrangements based on specific mathematical models using chaos models or non-linear system models
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1425—Traffic logging, e.g. anomaly detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1441—Countermeasures against malicious traffic
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D2101/00—Details of software or hardware architectures used for the control of position
- G05D2101/10—Details of software or hardware architectures used for the control of position using artificial intelligence [AI] techniques
-
- G05D2201/0213—
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0736—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in functional embedded systems, i.e. in a data processing system designed as a combination of hardware and software dedicated to performing a certain function
- G06F11/0739—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in functional embedded systems, i.e. in a data processing system designed as a combination of hardware and software dedicated to performing a certain function in a data processing system embedded in automotive or aircraft systems
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0793—Remedial or corrective actions
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1441—Countermeasures against malicious traffic
- H04L63/1458—Denial of Service
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Computer Hardware Design (AREA)
- Mathematical Physics (AREA)
- Automation & Control Theory (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Quality & Reliability (AREA)
- Fuzzy Systems (AREA)
- Computational Linguistics (AREA)
- Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Multimedia (AREA)
- Algebra (AREA)
- Probability & Statistics with Applications (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Nonlinear Science (AREA)
- Alarm Systems (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/264,671 US10901375B2 (en) | 2019-01-31 | 2019-01-31 | Chaotic system anomaly response by artificial intelligence |
| US16/264,671 | 2019-01-31 | ||
| PCT/US2020/015932 WO2020160301A1 (en) | 2019-01-31 | 2020-01-30 | Chaotic system anomaly response by artificial intelligence |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| KR20210121194A KR20210121194A (ko) | 2021-10-07 |
| KR102621095B1 true KR102621095B1 (ko) | 2024-01-03 |
Family
ID=71836380
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020217027725A Active KR102621095B1 (ko) | 2019-01-31 | 2020-01-30 | 인공 지능에 의한 카오스 시스템 이상 대응 |
Country Status (7)
| Country | Link |
|---|---|
| US (2) | US10901375B2 (cg-RX-API-DMAC7.html) |
| EP (1) | EP3918526A4 (cg-RX-API-DMAC7.html) |
| JP (1) | JP7417614B2 (cg-RX-API-DMAC7.html) |
| KR (1) | KR102621095B1 (cg-RX-API-DMAC7.html) |
| CN (1) | CN113632105B (cg-RX-API-DMAC7.html) |
| CA (1) | CA3128199C (cg-RX-API-DMAC7.html) |
| WO (1) | WO2020160301A1 (cg-RX-API-DMAC7.html) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111891134B (zh) * | 2019-05-06 | 2022-09-30 | 北京百度网讯科技有限公司 | 自动驾驶处理系统和片上系统、监测处理模块的方法 |
| US12380011B2 (en) * | 2022-03-21 | 2025-08-05 | ArgusIOT Inc. | Methods and systems for sensor-assisted monitoring of temporal state of device |
| CN119128530B (zh) * | 2024-11-13 | 2025-01-24 | 四川省核地质调查研究所 | 一种基于人工智能的自然资源数据分析方法及系统 |
Citations (3)
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| WO2018039555A1 (en) | 2016-08-26 | 2018-03-01 | Applied Materials, Inc. | Thickness measurement of substrate using color metrology |
| US20180075309A1 (en) | 2016-09-14 | 2018-03-15 | Nauto, Inc. | Systems and methods for near-crash determination |
| US20180314253A1 (en) | 2017-05-01 | 2018-11-01 | Mentor Graphics Development (Deutschland) Gmbh | Embedded automotive perception with machine learning classification of sensor data |
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| US9709965B2 (en) | 2008-12-04 | 2017-07-18 | Baselayer Technology, Llc | Data center intelligent control and optimization |
| CN101957602B (zh) * | 2009-07-15 | 2012-07-04 | 河南天擎机电技术有限公司 | 基于Zigbee的公共场所环境监测控制方法及其系统 |
| JP5045796B2 (ja) * | 2009-12-03 | 2012-10-10 | 株式会社デンソー | 車両接近警告システム、携帯警告端末、および車載通信機 |
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-
2019
- 2019-01-31 US US16/264,671 patent/US10901375B2/en active Active
-
2020
- 2020-01-30 CA CA3128199A patent/CA3128199C/en active Active
- 2020-01-30 CN CN202080025222.2A patent/CN113632105B/zh active Active
- 2020-01-30 KR KR1020217027725A patent/KR102621095B1/ko active Active
- 2020-01-30 WO PCT/US2020/015932 patent/WO2020160301A1/en not_active Ceased
- 2020-01-30 JP JP2021544794A patent/JP7417614B2/ja active Active
- 2020-01-30 EP EP20748525.1A patent/EP3918526A4/en active Pending
- 2020-12-16 US US17/124,403 patent/US11487251B2/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018039555A1 (en) | 2016-08-26 | 2018-03-01 | Applied Materials, Inc. | Thickness measurement of substrate using color metrology |
| US20180075309A1 (en) | 2016-09-14 | 2018-03-15 | Nauto, Inc. | Systems and methods for near-crash determination |
| US20180314253A1 (en) | 2017-05-01 | 2018-11-01 | Mentor Graphics Development (Deutschland) Gmbh | Embedded automotive perception with machine learning classification of sensor data |
Also Published As
| Publication number | Publication date |
|---|---|
| CA3128199C (en) | 2023-06-20 |
| JP2022523337A (ja) | 2022-04-22 |
| CN113632105A (zh) | 2021-11-09 |
| EP3918526A4 (en) | 2022-10-26 |
| WO2020160301A1 (en) | 2020-08-06 |
| CA3128199A1 (en) | 2020-08-06 |
| US20210132554A1 (en) | 2021-05-06 |
| CN113632105B (zh) | 2024-11-19 |
| US20200249640A1 (en) | 2020-08-06 |
| US11487251B2 (en) | 2022-11-01 |
| US10901375B2 (en) | 2021-01-26 |
| EP3918526A1 (en) | 2021-12-08 |
| KR20210121194A (ko) | 2021-10-07 |
| JP7417614B2 (ja) | 2024-01-18 |
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St.27 status event code: A-0-1-A10-A15-nap-PA0105 |
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