This document provides step-by-step instructions for downloading satellite imagery and weather data from the SATAID (Satellite Animation and Interactive Diagnosis) application automatically. It describes copying the required folders, editing configuration files to specify download settings like the user ID, proxy settings if needed, and how long to store downloaded data. It also explains how to start the automatic updating process by running a batch file, how to select the desired data types and time ranges, and how to properly stop and close the program. The overall aim is to help users set up SATAID for operational weather analysis and forecasting using only a PC with Internet access.
Software Defined Networks
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There is currently a lot of buzz around OpenFlow and Software Defined Networks (SDN) in the industry. It would be a mistake to think that these are one and the same. The reality is that the current market conversation has loose semantics mixed in with hyperbole and hearsay that hide the simplicity of SDN behind terms like Openstack, Virtual Overlays, Network Function Virtualization, Orchestration, etc. This session will explain the origins of SDN, establish a basic terminology for SDN concepts, and offer a framework to both understand these trends and distill the applicability of SDN through a use case lens.
Software Defined Networks
By: Thierry Couture, Consulting Systems Architect
There is currently a lot of buzz around OpenFlow and Software Defined Networks (SDN) in the industry. It would be a mistake to think that these are one and the same. The reality is that the current market conversation has loose semantics mixed in with hyperbole and hearsay that hide the simplicity of SDN behind terms like Openstack, Virtual Overlays, Network Function Virtualization, Orchestration, etc. This session will explain the origins of SDN, establish a basic terminology for SDN concepts, and offer a framework to both understand these trends and distill the applicability of SDN through a use case lens.
The Model 8872 SiteNode serves as both
the primary data collection device for smart
instruments and the host for commonly
used PC based programs for analyzer
maintenance or running site GCs, BTEX
instruments, etc.
Connected to a standard or touch-screen
LCD and interface devices (mouse,
keyboard) SiteNode provides graphical
review of real-time data, allows the user to
enter annotations on data, and includes an
Electronic Site Logbook. Data, annotations,
and logbook records can be synchronized
with an AirVision™ server over broadband
connection.
The SiteNode also provides data backup
for up to 20,000,000 data points, or
roughly a year’s worth of 1-minute data
for 40 parameters. Data can be allocated
by parameter, so finer resolution data can
be stored as well. Data beyond the defined
limit will be automatically written to archive
files, which can be removed and restored on
the Node or an AirVision server.
Optional direct instrument drivers can
connect the Site Node directly to:
*MetOne BAM-1020
* TEOM 1400 / 1405
* API E-Series
* Thermo C-Series
* Thermo i-series
* Synspec Ozone Precursor GC
* Vaisala, Climatronics, and
*MetOne RS-232 based sensors
This content presents a guide to access satellite (Landsat-8) and microsatellite (Diwata), and how to use gdal and AROSIC (Python-based open-source software) for co-registration.
DIGITAL IMAGE WATERMARKING OF COMPRESSED IMAGE USING JPEG 2000 AND ENCRYPTION...ijiert bestjournal
The necessity for copyright protection,ownership v erification,and other issues for digital data are getting more and more value these days. For the rap id revolution in digital multimedia and the ease of creating similar and unauthorized data,the digital data can be copied or manipulated or distributed. So it is necessary to watermark the media content for tamper proofing or quality assessment or copy control. In this paper we propose a JPEG2000 compre ssion. The compression standard is chosen such that it provides higher compression ratio and the c ompressed byte stream are randomized by the encryption algorithm. In our paper watermarking was done in the compressed � encrypted domain. We use different watermarking techniques for this. Att empting to watermark such a randomized bit stream can cause a dramatic degradation of the media quali ty. Thus it is necessary to choose an encryption scheme that is both secure and will allow watermark ing in a predictable manner in the compressed encrypted domain. The projected method is a robust watermarking algorithm to watermark JPEG2000 compressed and encrypted images (grayscale) of size 512�512. The encryption algorithm in this paper uses stream cipher. While the estimated technique e mbeds watermark in the compressed-encrypted domain,and the extraction of watermark can be done in the encrypted domain. The proposed algorithm also conserves the confidentiality of data as the e mbedding process can be done on encrypted data.
A data logger (also data logger or data recorder) is an electronic device that records data
over time or in relation to location either with a built in instrument or sensor or via external
instruments and sensors. Increasingly, but not entirely, they are based on a digital processor (or
computer). They generally are small, battery powered, portable, and equipped with a
microprocessor, internal memory for data storage, and sensors. Some data loggers interface with
a personal computer and utilize software to activate the data logger and view and analyze the
collected data, while others have a local interface device (keypad, LCD) and can be used as a
stand-alone device.
Data loggers vary between general purpose types for a range of measurement applications
to very specific devices for measuring in one environment or application type only. It is common
for general purpose types to be programmable; however, many remain as static machines with
only a limited number or no changeable parameters. Electronic data loggers have replaced chart
recorders in many applications.
Learn how The Weather Company aggregates weather data and delivers it to the rest of the world.
A demo of how to build your own IOT based personal weather station.
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...Christopher Diamantopoulos
This implemented DSP system utilizes TCP socket communication. Upon message reception, it decides the appropriate process to be executed based on cases which can be categorized as follows:
1) image capture
2) image transfer
3) image processing
4) sensor calibration
A user-friendly MATLAB GUI, named DIPeth, facilitates the system's control.
Chair: Ewan Quibell, management systems and service leader, Jisc.
09:15-09:55 - Experiences with vulnerability management as part of a overall security architecture
Speaker: Dirk Schrader, CISSP/CISM at Greenbone Networks, Khipu.
Integrating vulnerability management into your security architecture, into your workflows.
What are some of the best practices for this? What are the advantages, what are possible caveats?
09:55-10:35 - On the airwaves – trends in Wi-Fi and wireless
Speaker: Peter Thornycroft, Aruba, HPE.
This talk will give a brief overview of forthcoming developments in Wi-Fi networking, including the next Wi-Fi PHY: 802.11ax, some applications of machine learning and the implications for WLAN architectures.
The Model 8872 SiteNode serves as both
the primary data collection device for smart
instruments and the host for commonly
used PC based programs for analyzer
maintenance or running site GCs, BTEX
instruments, etc.
Connected to a standard or touch-screen
LCD and interface devices (mouse,
keyboard) SiteNode provides graphical
review of real-time data, allows the user to
enter annotations on data, and includes an
Electronic Site Logbook. Data, annotations,
and logbook records can be synchronized
with an AirVision™ server over broadband
connection.
The SiteNode also provides data backup
for up to 20,000,000 data points, or
roughly a year’s worth of 1-minute data
for 40 parameters. Data can be allocated
by parameter, so finer resolution data can
be stored as well. Data beyond the defined
limit will be automatically written to archive
files, which can be removed and restored on
the Node or an AirVision server.
Optional direct instrument drivers can
connect the Site Node directly to:
*MetOne BAM-1020
* TEOM 1400 / 1405
* API E-Series
* Thermo C-Series
* Thermo i-series
* Synspec Ozone Precursor GC
* Vaisala, Climatronics, and
*MetOne RS-232 based sensors
This content presents a guide to access satellite (Landsat-8) and microsatellite (Diwata), and how to use gdal and AROSIC (Python-based open-source software) for co-registration.
DIGITAL IMAGE WATERMARKING OF COMPRESSED IMAGE USING JPEG 2000 AND ENCRYPTION...ijiert bestjournal
The necessity for copyright protection,ownership v erification,and other issues for digital data are getting more and more value these days. For the rap id revolution in digital multimedia and the ease of creating similar and unauthorized data,the digital data can be copied or manipulated or distributed. So it is necessary to watermark the media content for tamper proofing or quality assessment or copy control. In this paper we propose a JPEG2000 compre ssion. The compression standard is chosen such that it provides higher compression ratio and the c ompressed byte stream are randomized by the encryption algorithm. In our paper watermarking was done in the compressed � encrypted domain. We use different watermarking techniques for this. Att empting to watermark such a randomized bit stream can cause a dramatic degradation of the media quali ty. Thus it is necessary to choose an encryption scheme that is both secure and will allow watermark ing in a predictable manner in the compressed encrypted domain. The projected method is a robust watermarking algorithm to watermark JPEG2000 compressed and encrypted images (grayscale) of size 512�512. The encryption algorithm in this paper uses stream cipher. While the estimated technique e mbeds watermark in the compressed-encrypted domain,and the extraction of watermark can be done in the encrypted domain. The proposed algorithm also conserves the confidentiality of data as the e mbedding process can be done on encrypted data.
A data logger (also data logger or data recorder) is an electronic device that records data
over time or in relation to location either with a built in instrument or sensor or via external
instruments and sensors. Increasingly, but not entirely, they are based on a digital processor (or
computer). They generally are small, battery powered, portable, and equipped with a
microprocessor, internal memory for data storage, and sensors. Some data loggers interface with
a personal computer and utilize software to activate the data logger and view and analyze the
collected data, while others have a local interface device (keypad, LCD) and can be used as a
stand-alone device.
Data loggers vary between general purpose types for a range of measurement applications
to very specific devices for measuring in one environment or application type only. It is common
for general purpose types to be programmable; however, many remain as static machines with
only a limited number or no changeable parameters. Electronic data loggers have replaced chart
recorders in many applications.
Learn how The Weather Company aggregates weather data and delivers it to the rest of the world.
A demo of how to build your own IOT based personal weather station.
IMAGE CAPTURE, PROCESSING AND TRANSFER VIA ETHERNET UNDER CONTROL OF MATLAB G...Christopher Diamantopoulos
This implemented DSP system utilizes TCP socket communication. Upon message reception, it decides the appropriate process to be executed based on cases which can be categorized as follows:
1) image capture
2) image transfer
3) image processing
4) sensor calibration
A user-friendly MATLAB GUI, named DIPeth, facilitates the system's control.
Chair: Ewan Quibell, management systems and service leader, Jisc.
09:15-09:55 - Experiences with vulnerability management as part of a overall security architecture
Speaker: Dirk Schrader, CISSP/CISM at Greenbone Networks, Khipu.
Integrating vulnerability management into your security architecture, into your workflows.
What are some of the best practices for this? What are the advantages, what are possible caveats?
09:55-10:35 - On the airwaves – trends in Wi-Fi and wireless
Speaker: Peter Thornycroft, Aruba, HPE.
This talk will give a brief overview of forthcoming developments in Wi-Fi networking, including the next Wi-Fi PHY: 802.11ax, some applications of machine learning and the implications for WLAN architectures.
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Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
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Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
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👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
DevOps and Testing slides at DASA ConnectKari Kakkonen
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How world-class product teams are winning in the AI era by CEO and Founder, P...
Sataid auto-download
1. SATAID Data Automatic DownloadSATAID Data Automatic Download
Japan Meteorological Agency
February 2012
2. Step 0. Introductionp
• SATAID (Satellite Animation and Interactive Diagnosis) is application
software developed by JMA and freely available to National Meteorological
Services (registration required)Services (registration required).
• SATAID enables you to visualize satellite images, NWP and other
observation data (SYNOP SHIP etc ) which will greatly help your weatherobservation data (SYNOP, SHIP etc.), which will greatly help your weather
analysis and forecast.
• With only your PC (Microsoft Windows 2000 or later) with Internet access• With only your PC (Microsoft Windows 2000 or later) with Internet access,
you can download SATAID data automatically and use it operationally.
• SATAID application and its dada are provided as a service of WMO DCPCSATAID application and its dada are provided as a service of WMO DCPC
operated by JMA.
(http://www.wis-jma.go.jp/cms/sataid/)
3. Step 1. Copy "wis" folderp py
• Download compressed "wis" file.
• Uncompress "wis" file and copy "wis" folder on your PC.
[Example][Example]
"wis" folder copied under E drive
4. Step 2. Edit "WIS.ini"p
• All of your setting is saved in "WIS.ini" file in "Program" folder.
O "WIS i i" ith dit (N t d t ) dit d it• Open "WIS.ini" with your editor (Notepad etc.), edit and overwrite.
"WIS.ini"
5. Step 2. Edit "WIS.ini"p
Step 2 1Step 2-1
Step 2-2
Step 2-3
Step 2-1
Enter time difference between UTC and your PC built-in clock (default: 09 hours)
Step 2-2Step 2 2
Select your area code (see next slide) (default: nc)
Step 2-3
Specify cutout area in latitude and longitude (default: 115E-155E, 10N-50N)p y g ( )
[Notes] The cutout area should be the same or smaller than the original data area selected at step 2-2.
For southern or western hemisphere, negative number is used (e.g. 20S = - 20, 160W = - 160).
6. SATAID data area provided by JMA DCPCp y
nw (65N-5S,80E-145E), ne (65N-5S,135E-160W)
(6N 65S 135E 160W) (6N 65S 80E 145E)se (6N-65S,135E-160W), sw (6N-65S,80E-145E)
nc (55N-15S,90E-155E), sc (15N-55S,107.5E-172.5E)
7. Step 2. Edit "WIS.ini"
Step 2-4
Downloaded data are stored in the following three
folders.
p
1."sataid_data_org" (original satellite image and
NWP data)
2."sataid_data_cut" (cutout image data)
3 "obsdata" observation data (SYNOP etc )3. obsdata observation data (SYNOP etc.)
[Notes]
- If you wish to keep downloaded SATAID data for
your archive please copy the above folders manuallyyour archive, please copy the above folders manually
to your hard disk etc.
- In case you change your setting (area etc.), please
delete all the files in the above folders before you
start downloading.
*** Edit data delete setting ***
Edit how long (number of days) you need to stored t o o g ( u be o days) you eed to sto e
the data in the above 3 folders.
Default is all "14" which means the data created 14
days ago or older will be automatically deleted.Step 2-6
Step 2-5
Enter user ID and password.
In case your network uses proxy server, enter the proxy address and port
number, delete comment mark “ ’ ” at the beginning of the line, and set
"Use_proxy" option "on". Default is:
' Https proxyHttps_proxy
' http://<proxy address>:<port number>/
Use_proxy
off
8. Step 3. Start auto updating
• Double click "Sataid_Loop.bat" in "wis"
p p g
folder
• Select satellite channel and NWP, and,
observation data
VIS: visible (0.55-0.90 micron)
IR1: Infra-red 1 (10.3-11.3 micron)
IR2: Infra-red 2 (11.5-12.5 micron)
WV: Water Vapor (6.5-7.0 micron)
IR4: Infra-red 4 (3.5-4.0 micron)
GSM: JMA’s Global Spectral ModelGS : J s G ob Spec ode
• Select duration of SATAID animation time
(06 12 24 36 hours)(06, 12, 24, 36 hours)
• Select "Start Program" and downloading
will startwill start.
9. Step 4 & 5. Stop and close programp p p g
Step 4
To stop downloading,
l t "St P "
Step 5
T l th
select "Stop Program"
To close the program,
click "Exit"
[Notes]
If l h l b li ki " " k i h h d li ki "E i " d iIf you close the panel by clicking "x" mark at upper right-hand corner, or clicking "Exit" during
download processing, the scripts may remain running. In that case, open the panel again and close it
by clicking "Exit".
10. Use SATAID operationally!!p y
Dvorak Analysis
NWP overlaid
Surface observation overlaid
SATAID Operation Manual is available at
http://www.wis-jma.go.jp/cms/sataid/manual/
