AI EXPRESS
  • AI
    Cloudera

    Cloudera claims its new ‘all-in-one’ data lakehouse cuts ownership costs by up to 35%

    DARPA seeks AI solutions for sourcing critical minerals

    DARPA seeks AI solutions for sourcing critical minerals

    Who owns DALL-E images? Legal AI experts weigh in

    Who owns DALL-E images? Legal AI experts weigh in

    Broadcom turbocharges AI and ML with Tomahawk 5

    Broadcom turbocharges AI and ML with Tomahawk 5

    Did data drift in AI models cause the Equifax credit score glitch?

    Did data drift in AI models cause the Equifax credit score glitch?

    In human-centered AI, UX and software roles are evolving

    In human-centered AI, UX and software roles are evolving

  • ML
    Announcing the launch of the model copy feature for Amazon Rekognition Custom Labels

    Announcing the launch of the model copy feature for Amazon Rekognition Custom Labels

    Use deep learning frameworks natively in Amazon SageMaker Processing

    Intelligent document processing with AWS AI services: Part 2

    Customize your recommendations by promoting specific items using business rules with Amazon Personalize

    Customize your recommendations by promoting specific items using business rules with Amazon Personalize

    Amazon SageMaker JumpStart solutions now support custom IAM role settings

    Amazon SageMaker JumpStart solutions now support custom IAM role settings

    Amazon SageMaker Automatic Model Tuning now supports SageMaker Training Instance Fallbacks

    Amazon SageMaker Automatic Model Tuning now supports SageMaker Training Instance Fallbacks

    Build a GNN-based real-time fraud detection solution using Amazon SageMaker, Amazon Neptune, and the Deep Graph Library

    Build a GNN-based real-time fraud detection solution using Amazon SageMaker, Amazon Neptune, and the Deep Graph Library

    Build an air quality anomaly detector using Amazon Lookout for Metrics

    Build an air quality anomaly detector using Amazon Lookout for Metrics

    Use computer vision to measure agriculture yield with Amazon Rekognition Custom Labels

    Use computer vision to measure agriculture yield with Amazon Rekognition Custom Labels

    Smart Safe Stadiums with Machine Learning

    Preventing Violence and Racism at Sports Venues with Machine Learning –

  • NLP
    A Little More Conversation: How Programmatic Is Driving Podcast Ad Innovation

    A Little More Conversation: How Programmatic Is Driving Podcast Ad Innovation

    Historical costume descriptors bridge gap between past and present | VTx

    Historical costume descriptors bridge gap between past and present | VTx

    Maritime industry to spend $931 mln on AI solutions in 2022

    Maritime industry to spend $931 mln on AI solutions in 2022

    IonQ Announces Second Quarter 2022 Financial Results

    PatientMetRx Patient Opinion Map

    Through a glass, (more) clearly – PharmaLive

    Researchers Develop DL-GuesS: A Deep Learning and Sentiment Analysis-Based Framework For Cryptocurrency Price Prediction

    Researchers Develop DL-GuesS: A Deep Learning and Sentiment Analysis-Based Framework For Cryptocurrency Price Prediction

    Busting homophobic, anti-queer bias in AI language models

    Busting homophobic, anti-queer bias in AI language models

    IATA Launches Online Platform to Help Identify Security Risks

    IATA Launches Online Platform to Help Identify Security Risks

    Tek Fog: A New Cyber-Troop Cracking Down on Human Rights

    Tek Fog: A New Cyber-Troop Cracking Down on Human Rights

  • Vision
    Seoul Robotics Helps Cars Move, Park on Their Own

    Seoul Robotics Helps Cars Move, Park on Their Own

    Pattern Recognition With Geometric Model Finder

    Pattern Recognition With Geometric Model Finder

    The Top 10 Applications of Computer Vision in Aviation

    The Top 10 Applications of Computer Vision in Aviation

    YOLOv7: The Fastest Object Detection Algorithm (2022)

    YOLOv7: The Fastest Object Detection Algorithm (2022)

    Progressive Growing Generative Adversarial Networks

    Progressive Growing Generative Adversarial Networks

    Deep Learning for Image Dehazing- The What, Why, and How

    Deep Learning for Image Dehazing- The What, Why, and How

    How to train and use a custom YOLOv7 model

    How to train and use a custom YOLOv7 model

    viso.ai Logo

    Deep Learning for Person Re-Identification (2022)

    NVIDIA Jetson AGX Orin 32GB Production Modules Now Available; Partner Ecosystem Appliances and Servers Arrive

    NVIDIA Jetson AGX Orin 32GB Production Modules Now Available; Partner Ecosystem Appliances and Servers Arrive

  • Robotics
    seoul robotics

    Seoul Robotics makes regular cars autonomous with LV5 CTRL TWR

    scan&sand

    GrayMatter Robotics’ sanding solution brings in $20M

    pitchfire

    Pitchfire startup competition submissions open

    sprout

    Muddy Machines brings in $1.8M for asparagus harvesting robot Sprout

    Levita Magnetics raises $26M for Magnetic-Assisted Robotic Surgery platform

    Levita Magnetics raises $26M for Magnetic-Assisted Robotic Surgery platform

    Marc Raibert Atlas dancing

    Hyundai launches Boston Dynamics AI Institute

    programmable material

    MIT CSAIL creates materials that can sense the way they move

    robotics investments and business opportunities

    The state of robotics investment

    Xiaomi demos new CyberOne bipedal robot

    Xiaomi demos new CyberOne bipedal robot

  • RPA
    How to Create a Rock Solid Technology Portfolio with Hyperautomation?| AutomationEdge

    How to Create a Rock Solid Technology Portfolio with Hyperautomation?| AutomationEdge

    Unlocking the Top Healthcare Automation Trends with Use Cases that Rule the World| AutomationEdge

    Unlocking the Top Healthcare Automation Trends with Use Cases that Rule the World| AutomationEdge

    Staying Ahead of the Time with AI-Powered Customer Experience

    Staying Ahead of the Time with AI-Powered Customer Experience| AutomationEdge

    Why is Developing Decision Intelligence with AI Support Crucial in Healthcare?

    Why is Developing Decision Intelligence with AI Support Crucial in Healthcare?

    Robotic Process Automation using Blue Prism

    Robotic Process Automation using Blue Prism

    AI- The Tech Medicine Ameliorating the Healthcare Industry?

    AI- The Tech Medicine Ameliorating the Healthcare Industry?| AutomationEdge

    Take employee experience into hyperdrive with Hyperautomation

    Hyperautomation- Your Answer to Enhance Employee Experience| AutomationEdge

    Know Why Automation Now Resides in the Heart of Customer Contact Centers| AutomationEdge

    Know Why Automation Now Resides in the Heart of Customer Contact Centers| AutomationEdge

    Conversational AI, Healing the Healthcare Industry| AutomationEdge

    Conversational AI, Healing the Healthcare Industry| AutomationEdge

  • Gaming
    Dying Light 2's first story DLC, Bloody Ties, to be revealed at gamescom Opening Night Live

    Dying Light 2’s first story DLC, Bloody Ties, to be revealed at gamescom Opening Night Live

    Why 4 million people – and counting – are flocking to Korea’s hottest battle royale

    Why 4 million people – and counting – are flocking to Korea’s hottest battle royale

    Saints Row trailer gives you a taste of the story

    Saints Row trailer gives you a taste of the story

    Advance Wars 1+2: Re-Boot Camp Scheduled Maintenance Spotted

    Advance Wars 1+2: Re-Boot Camp Scheduled Maintenance Spotted

    MultiVersus datamine suggests Beetlejuice and Oz’s Wicked Witch of the West are coming to the game

    MultiVersus datamine suggests Beetlejuice and Oz’s Wicked Witch of the West are coming to the game

    Call of Duty: Modern Warfare 2 open beta and multiplayer reveal dated

    Call of Duty: Modern Warfare 2 open beta and multiplayer reveal dated

    Xbox Game Pass is losing some brilliant games soon

    Xbox Game Pass is losing some brilliant games soon

    Random: New Zelda: Breath Of The Wild Glitch Means You'll Never Be Short Of Materials

    Random: New Zelda: Breath Of The Wild Glitch Means You’ll Never Be Short Of Materials

    Spider-Man PC files reveal that co-op and PvP were once being developed

    Spider-Man PC files reveal that co-op and PvP were once being developed

  • Investment
    explo

    Explo Raises $12M in Series A Funding

    Bearing Raises $7M in Post-Seed Funding - FinSMEs

    Bearing Raises $7M in Post-Seed Funding – FinSMEs

    HyperTrack

    HyperTrack Raises $25M in Series A Funding

    bob

    HiBob Raises $150M in Series D Funding

    incredible health

    Incredible Health Raises $80M in Series B; Valued at $1.65 Billion

    Smart Robotics

    GrayMatter Robotics Raises $20M in Series A Funding

    alivecor

    AliveCor Closes Series F Financing

    sailpoint

    Thoma Bravo Completes Acquisition of SailPoint Technologies

    omni

    Omni Raises $26.9M in Funding

  • More
    • Data analytics
    • Apps
    • No Code
    • Cloud
    • Quantum Computing
    • Security
    • AR & VR
    • Esports
    • IOT
    • Smart Home
    • Smart City
    • Crypto Currency
    • Blockchain
    • Reviews
    • Video
No Result
View All Result
AI EXPRESS
No Result
View All Result
Home Data analytics

Advanced separation and classification of ionospheric troughs in midnight conditions

by
August 4, 2022
in Data analytics
0
0
SHARES
2
VIEWS
Share on FacebookShare on Twitter

An evaluation of the constructions of the excessive latitude ionosphere was carried out utilizing a mannequin of auroral particle precipitation constructed from the DMSP satellites knowledge in each hemispheres17,18. The mannequin is uploaded on the web site of the Polar Geophysical Institute (http://apm.pgia.ru). In Fig. S1 (in “Supporting data”), this mannequin is introduced for quiet situations. The mannequin describes three important auroral precipitation zones: diffuse auroral zone I equatorward of the auroral oval, structured auroral precipitation of the auroral oval (area of auroral lights, aurora), and zone II of the mushy diffuse precipitation poleward of the aurora.

The boundaries of the precipitation zones within the midnight ionosphere change with longitude18,19, in addition to the place of the MIT23. Within the southern hemisphere these boundaries have been revealed from the TIMED knowledge obtained in 2002–200719. They’re introduced in Fig. S2 (in “Supporting data”). The equatorward and poleward boundaries of the oval expertise synchronous longitudinal variations with an amplitude of ~ 2.5°. Due to this fact, it’s handiest to research the constructions of the excessive latitude ionosphere by way of geomagnetic latitude–geographic longitude. Determine 1 (backside panel) exhibits the positions of the completely different constructions within the winter midnight (23-01 LT) ionosphere of the southern hemisphere. To eradicate the dependence on geomagnetic exercise, the positions of the MIT, RIT, and HLT have been lowered to Kp = 2 in accordance with Λcorr = Λc − a(Kp(τ) − 2), the place Λc is the present place of the construction and the a issue is 2.0° for the MIT8, 1.5° for RIT21, and ~ 1.5° for HLT16. The Kp(τ) index was used because it considers the prehistory of geomagnetic exercise improvement11. In Fig. 1, zones I and II of the diffuse precipitation taken from Fig. S1 are shaded. The common (for all longitudes) place of the equatorward boundary of the auroral precipitation oval corresponds to 64° at Kp = 215. The higher curve in Fig. 1 (backside panel) corresponds to the CHAMP satellite tv for pc inclination. The satellite tv for pc inclination of 87° doesn’t restrict the observations of the mentioned constructions, apart from the polar gap. However polar gap instances are proven in Fig. 1 solely for the completeness of the sample; solely unambiguous instances have been chosen.

Determine 1
figure 1

On the highest: Longitudinal variations within the magnitude of MIT poleward wall (dots and approximation) and averaged auroral precipitation vitality flux at 21-03 MLT below Kp = 2 (dashed line)19. On the underside: Longitudinal variations within the positions of important constructions within the near-midnight winter ionosphere of the southern hemisphere: polar gap (triangles), HLT1 (empty squares), HLT2 (crammed squares), MIT (black dots), RIT (purple dots), and particular electron density minima (purple empty circles). The shaded latitude belts present the diffuse auroral precipitation in zones I and II19. The higher curve represents the CHAMP inclination equal to 87°.

The black dots in Fig. 1 depict the instances of MIT observations (n = 703). The approximating curve demonstrates the longitudinal impact within the MIT place with an amplitude of ~ 3° and a correlation coefficient of 0.52. The information scatter (commonplace deviation) is 1.85°, which is lower than the two°–3° worth that’s often noticed within the statistical processing of the trough knowledge. Within the first approximation, the longitudinal variations within the MIT place are according to the variations within the place of the precipitation in zone I. The primary activity was to separate the MIT from HLT (blue squares) on the excessive latitude boundary of the MIT incidence area. Determine 2a exhibits the best case when each troughs are noticed concurrently. This case permits us to attract a essentially necessary conclusion: the MIT poleward wall is, as typical, decided by the precipitation in zone I, and the HLT poleward wall is undoubtedly fashioned by the precipitation in zone II. The latter truth is the important thing to the identification of the HLT1. The HLT was beforehand studied intimately from the Ni variations recorded on board OGO-6 at heights of 400–1100 km16 and from EISCAT radar knowledge24. Particularly, the statistical place of HLT relative to the auroral oval was decided16. The authors noticed the HLT completely inside the auroral oval and attributed its formation finally to the motion of electrical fields within the zone of the convection of the excessive latitude ionospheric plasma. These fields trigger the frictional heating and upward vertical drift of the plasma. The primary course of results in a rise in recombination, the second to the escape of plasma upward alongside the magnetic subject strains. Since this impact is noticed in a restricted area, the HLT of this sort is often slender (3°–5° in latitude). Such a trough is noticed in Fig. 2b along with the polar gap. We outline such a trough because the HLT2; it’s depicted by crammed squares in Fig. 1. Determine 2c exhibits a slightly uncommon instance of the simultaneous statement of the three troughs: MIT, HLT2, and HLT1. Determine 1 exhibits that HLT2 is noticed much less often than HLT1. In Fig. 2, an approximation curve for all excessive latitude troughs (HLT1 and HLT2) is drawn. For the visibility, the precipitation zones are proven by hatching in Fig. 2. They’re situated contemplating the longitude and the Kp index worth. Nonetheless, it ought to be remembered that the precipitation zones are taken from the mannequin and should not precisely correspond to the trough present place.

Determine 2
figure 2

Probably the most attribute examples of troughs within the nighttime winter ionosphere of the southern hemisphere. Native time modifications from 23.8 to 0.9 h. The hatching bars present the zones I and II of precipitation taking into consideration longitude and Kp index. Particulars are within the textual content.

Within the jap hemisphere, at longitudes of 30°–90° E, the MIT is situated on the highest latitudes in order that the area of its existence overlaps with the precipitation in zone I and the area of HLT existence. Within the area of the intersection of the 2 units of troughs, the issue of separation turns into significantly acute. Due to this fact, all instances of trough observations on this area have been analyzed totally. The highest panel in Fig. 1 exhibits the longitudinal variations within the magnitude of the poleward wall (PW) derived from the CHAMP knowledge for the quiet interval of August 15–24, 2000 (dots and approximation line). The longitudinal impact is detected confidently, which is kind of stunning, making an allowance for the extraordinarily irregular character of diffuse precipitation. The dashed line depicts the longitudinal variations within the common precipitation vitality flux derived at latitude of − 65° GMLat from the coloured Fig. S219. As one may count on, the variations within the magnitude of the PW utterly coincide with variations within the precipitation. Nonetheless, the excessive diploma of coincidence can be stunning. Electron precipitation is way stronger within the western hemisphere than within the jap hemisphere. Due to this fact, within the western hemisphere, the precipitation varieties a pronounced PW of the MIT, which is at all times clearly decided. This illustrates the latitudinal fp cross-section in Fig. second, which represents the MIT recorded on August 9, 2000, at longitude of 286° E at 0.6 LT and Kp = 2−. Within the jap hemisphere at problematic longitudes completely different situations might be realized. If the precipitation in zones I and II continues to be fairly intense, they kind (weak) peaks of electron density, and each troughs are noticed. If the precipitation in one of many zones could be very weak, then both the MIT or the HLT might be fashioned. For instance, curve 2 in Fig. second represents the latitudinal fp cross-section obtained on August 7, 2000, at longitude of 100° E at 0.5 LT and Kp = 1+. The latitudinal profile 2 exhibits weak electron density peak on the similar latitudes as profile 1, i.e. at latitudes of zone I of precipitation. Therefore, we will discuss concerning the formation of weakly expressed MIT. The latitudinal profile 3 was additionally recorded on August 9, 2000, however at longitude of 92° E. Right here is neither a peak nor a minimal of electron density on the latitudes of the MIT, subsequently the MIT will not be recognized on this case. The minimal of the electron density is noticed a lot poleward at latitude of − 68°, and it definitely belongs to HLT1 as a result of its PW is fashioned by the precipitation in zone II. Be aware that this trough might be simply confused with the MIT in a cursory evaluation. Lastly, if each zones haven’t any precipitation, then a monotonous lower is recorded within the electron density to the pole with out peaks and troughs. Such instances correspond to the fp values near 0 on the highest panel in Fig. 1.

See also  A comparative study on deep learning models for text classification of unstructured medical notes with various levels of class imbalance | BMC Medical Research Methodology

The purple dots in Fig. 1 depict the RIT instances that have been noticed equatorward of the MIT. The RIT varieties in the course of the restoration section of a geomagnetic storm and even a weak substorm due to the decay of the magnetospheric ring present. The dynamics of this mid-latitude trough was described intimately earlier20,21. When the MIT and RIT are concurrently noticed, their identification will not be tough; the MIT place corresponds to the mannequin8 and precipitation in zone I, at the moment, the equatorward trough is the RIT (Fig. 2e). Nonetheless, throughout a storm, any scenario might be noticed: each troughs, one MIT, or one RIT. Furthermore, the MIT might be recognized on one path, and the RIT on the following path. Due to this fact, the principle technique of MIT and RIT separation is an evaluation of the prehistory of geomagnetic disturbance improvement20,21. Herein, even weak geomagnetic disturbances for the interval into account have been analyzed to separate the RIT from the MIT. An instance of such an evaluation is utilized under within the dialogue of Fig. 3.

Determine 3
figure 3

Longitudinal variations within the place of HLT (squares) and MIT (dots) on August 19 2000 (a) and August 21, 2000 (b). Empty circles present the positions of the fp minima (high) and RIT (backside). The shaded latitude belts present the diffuse auroral precipitation in zone I. On the appropriate are the latitudinal profiles of fp for the paths marked within the Determine on the left (stable curves for August 19, dashed curves for August 21).

Figures 2f,g present examples of constructions that may be outlined as quasi-troughs. Determine 2fshows the latitudinal fp cross-section typical for the longitudes of America and the Atlantic: steep poleward wall (PW) of the trough, shallow electron density minimal barely equatorward (at − 65.5°), and deep and extensive minimal at − 55°. How is the place of the MIT decided on this case? The latitude of − 65.5° for Kp = 1− corresponds slightly to the PW of the MIT, and the latitude of − 55° utterly goes past the existence area of “regular” MIT. Equally, the place of Ne minimal at latitude of − 60.5° for Kp = 1− in Fig. 2g is unquestionably decrease than the “regular” place of the MIT at longitude of 29° E (Fig. 1). The well-defined PW of the trough permits us to unravel this downside. Within the midnight hours, the bottom of the PW often coincides with the equatorward boundary of diffuse precipitation25. The MIT minimal is situated inside 5° equatorward of this boundary4, and the minimal distance is about 2°26; subsequently, the MIT minimal is often 3°–4° equatorward of the PW. The minimal of the trough decided on this manner in Fig. 2f,g coincides with the common place of the MIT (Fig. 1). As for the explanation for the formation of a further minimal of electron density, we must always be aware that the geomagnetic latitude of − 56° at longitude of 285° roughly corresponds to the geographical latitude of − 66°, that’s, the Polar Circle. The Polar Circle limits the world of the polar evening in winter situations, whereby there is no such thing as a photo voltaic ionization and the electron density decays. The affect of the polar evening impacts a reasonably wide selection of longitudes from 120° W to 30° E.

See also  Preview: Atletico Mineiro vs. Emelec - prediction, team news, lineups

Lastly, Fig. 2h exhibits an instance of a clearly outlined minimal of electron density recorded on August 29, 2001, at latitude of − 50.2° and longitude 194° E. A number of well-expressed LLTs have been noticed at latitudes − 50° and equatorward (not proven in Fig. 1). They apparently belong to the category of LLTs found earlier27.

Source link

Tags: AdvancedClassificationConditionsionosphericMidnightSeparationtroughs
Previous Post

Ghost Security reinvents app security with unsupervised machine learning

Next Post

YouTube Experiment Lets You Zoom Into Videos

Next Post
YouTube Is Finally Adding Transcriptions To The App

YouTube Experiment Lets You Zoom Into Videos

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Newsletter

Popular Stories

  • Cilium launches eBPF-powered Kubernetes service mesh

    Don’t overengineer your cloud architecture

    0 shares
    Share 0 Tweet 0
  • How to train and use a custom YOLOv7 model

    0 shares
    Share 0 Tweet 0
  • DeepFace – Most Popular Deep Face Recognition in 2022 (Guide)

    0 shares
    Share 0 Tweet 0
  • YOLOv7: The Fastest Object Detection Algorithm (2022)

    0 shares
    Share 0 Tweet 0
  • LG TV Owners Can Get 90 Days Of Stadia Pro For Free

    0 shares
    Share 0 Tweet 0

Data Analytics Jobs

View 115 Data Analytics Jobs at Tesla

View 165 Data Analytics Jobs at Nvidia

View 105 Data Analytics Jobs at Google

View 135 Data Analytics Jobs at Amamzon

View 131 Data Analytics Jobs at IBM

View 95 Data Analytics Jobs at Microsoft

View 205 Data Analytics Jobs at Meta

View 192 Data Analytics Jobs at Intel

Accounting and Finance Hub

Raised Seed, Series A, B, C Funding Round

Get a Free Insurance Quote

Try Our Accounting Service

AI EXPRESS

AI EXPRESS is a news site that covers the latest developments in Artificial Intelligence, Data Analytics, ML & DL, Algorithms, RPA, NLP, Robotics, Smart Homes & Cities, Cloud & Quantum Computing, AR & VR and Blockchains

Categories

  • AI
  • Ai videos
  • Apps
  • AR & VR
  • Blockchain
  • Cloud
  • Computer Vision
  • Crypto Currency
  • Data analytics
  • Esports
  • Gaming
  • Gaming Videos
  • Investment
  • IOT
  • Iot Videos
  • Low Code No Code
  • Machine Learning
  • NLP
  • Quantum Computing
  • Robotics
  • Robotics Videos
  • RPA
  • Security
  • Smart City
  • Smart Home

Quick Links

  • Reviews
  • Deals
  • Best
  • AI Jobs
  • AI Events
  • AI Directory
  • Industries

© 2021 Aiexpress.io - All rights reserved.

  • Contact
  • Privacy Policy
  • Terms & Conditions

No Result
View All Result
  • AI
  • ML
  • NLP
  • Vision
  • Robotics
  • RPA
  • Gaming
  • Investment
  • More
    • Data analytics
    • Apps
    • No Code
    • Cloud
    • Quantum Computing
    • Security
    • AR & VR
    • Esports
    • IOT
    • Smart Home
    • Smart City
    • Crypto Currency
    • Blockchain
    • Reviews
    • Video

© 2021 Aiexpress.io - All rights reserved.