ICU MULTIVIEW
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An overview of our ability to view multiple targets and/or data sources on the same map for comparison.
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icu multiview is a feature within the icu suite that provides a visual representation of the locations and movements of multiple targets over a specified time period. It displays the concurrent travel and destinations of all requested targets on a single map with color-coding to distinguish between stationary and moving targets. Users can select targets and a time range, such as before an IED detonation, to immediately see the behavior of all targets. icu multiview simplifies complexity by consolidating location analysis of multiple targets on one map and through automated reports.
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Visual maps must be transcribed into (interactive) raised-line maps to be accessible for visually impaired people. However, these tactile maps suffer from several shortcomings: they are long and expensive to produce, they cannot display a large amount of information, and they are not dynamically modifiable. A number of methods have been developed to automate the production of raised-line maps, but there is not yet any tactile map editor on the market. Tangible interactions proved to be an efficient way to help a visually impaired user manipulate spatial representations. Contrary to raised-line maps, tangible maps can be autonomously constructed and edited. In this paper, we present the scenarios and the main expected contributions of the AccessiMap project, which is based on the availability of many sources of open spatial data: 1/ facilitating the production of interactive tactile maps with the development of an open-source web-based editor; 2/ investigating the use of tangible interfaces for the autonomous construction and exploration of a map by a visually impaired user.
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Icu multiview 1.1
icu multiview is a feature within the icu suite that provides a visual representation of the locations and movements of multiple targets over a specified time period. It displays the concurrent travel and destinations of all requested targets on a single map with color-coding to distinguish between stationary and moving targets. Users can select targets and a time range, such as before an IED detonation, to immediately see the behavior of all targets. icu multiview simplifies complexity by consolidating location analysis of multiple targets on one map and through automated reports.
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1) HYDRAAR is an augmented reality app designed to aid emergency professionals by visualizing important information directly in their field of view.
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ICU TRACKSMITH
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VizDyn and spatial utility Dec 2014
VizDyn is a 3D globe created by Mission Logic that allows users to visualize and analyze geospatial data. It can display thousands of data points in real-time, ingest files from other platforms like ESRI and Google Earth, and analyze streaming data like vessel locations or weather patterns. VizDyn also includes tools for sensor placement optimization, coverage analysis, and identifying satellite imagery availability. It aims to enable engineers and scientists to better understand and work with geospatial content.
ICU Enterprise
The document describes a web-based software called icu enterprise that analyzes location data from multiple sources to identify patterns of life. It can now be deployed centrally for an entire organization on their secure network server. The icu enterprise provides enhanced capabilities like new reporting functionality and interface upgrades while supporting multiple simultaneous users analyzing the same data. It saves organizations significant time and costs in their analysis and can pay for itself within weeks.
ICU TRACKNET
icu tracknet is a software that analyzes geo-location data from multiple targets to identify relationships between targets and uncover criminal networks. It can identify who meets who, where, when, and for how long by surfacing common meeting locations and offset meeting times that may indicate dead-drop activity. The software prioritizes targets, finds meeting locations, and provides an immediate understanding of all relationships within a network to help investigators and analysts acquire targets faster and improve mission success.
ICU CELLULAR
The document describes a cell ping companion called icu cellular. It defines cell surveillance, cell ping data, and icu cellular. Icu cellular is a solution that collects email data from carriers about a target's location, processes it, and plots the target's movement on a map automatically. It can live track up to 5 targets simultaneously, export data in an open format, and instantly view or filter a target's historical travel. Icu cellular organizes cell ping data to monitor target movement without having to decipher individual emails.
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This paper proposes the usage of Live Tiles Usabili
ty Experience in Mainframes. The UI
experience was brought into the mainframe CICS maps
. The map related parameters and
attributes are used for achieving the live tiles di
splay and enhancing the user experience. The
dynamic tiles UI is provided with location based in
terfacing on the CICS map. The concept of
Temporary storage Queue (TSQ) is implemented in ord
er to display the information and the
concept of cursor positioning is also used to make
the application user friendly. This paper also
addresses how Live Tiles will improve the user inte
rface in Mainframes. Live tile is implemented
using COBOL, DB2, CICS in mainframe
Sample - Extending IBM i2 Analysis with G2 Research
This document demonstrates how tracking data from GPS tags and other sources can be analyzed in ICU Workbench and integrated into IBM i2 Analyst's Notebook to assist an investigation. ICU Workbench identified unusual patterns in a person of interest's movements. When this data was exported to i2, it revealed connections between individuals that helped uncover a relationship involving bribery between a criminal gang and a court official. Analyzing tracking data in this integrated way provided valuable intelligence that helped resolve the case.
ICU WORKBENCH - The Art of Where
The document summarizes an ICU Workbench location analysis solution. It rapidly analyzes geo-temporal data from surveillance to identify patterns of life, destinations visited, and connections between targets. This saves analysts significant time over manual analysis. It can process long-term tracking data and combine disparate sources for comprehensive insights into target behavior. The solution has proven effective in intelligence and law enforcement operations.
ICU PREDICTIONS
The document discusses an "icu predictions module" that analyzes historical tracking data to generate a "travel fingerprint" of a target, allowing users to predict future activity and optimize mission planning. It claims this improves target acquisition, takedown planning, and the safety and efficiency of surveillance teams. The module uses a target's full historical travel patterns to produce concise summaries and predictions, helping with mission success, faster target acquisition, and maximizing safety.
ICU OBSERVER
The document describes an electronic monitoring software called ICU Observer that helps corrections officials efficiently manage offender caseloads. It saves officers time by rapidly visualizing an offender's movement patterns over any time period to answer questions about where they went, how often, and who they met. It processes data from any electronic monitoring provider and allows officers to flag locations or be alerted to entirely new places. This helps identify any needed investigation into an offender's activities while saving officers valuable time.
icuWorkbench - Use cases
The document discusses the ICU Workbench software tool which analyzes tracking data to identify patterns of life and travel patterns. It is used by law enforcement and intelligence organizations. The software has 5 key modules and has helped customers by reducing analysis time, identifying targets' homes and work locations, combining different data sources, and discovering relationships between targets. Specific use cases are provided where the software helped catch criminals and uncover intelligence.
Case Study - Waterloo Regional Police
The Waterloo Regional Police Service used to have an investigator spend full time manually analyzing location data from tracking devices and cell phones to generate reports on suspects' patterns of movement and activities. This was a time-consuming process. The police service purchased ICU Workbench software, which automatically analyzes location data and generates pattern of life reports. This new process provides deeper insights into suspects' behaviors more quickly. It allows the investigator previously dedicated to data analysis to return to field work, while gaining more powerful intelligence. The new software has significantly reduced the time needed to analyze location data and freed up resources for more optimal use.
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Law Enforcement - Overview
This document discusses how analyzing location data from GPS devices, calls, social media, and other sources can provide critical intelligence to save lives, improve mission planning, and reduce costs. It describes how a software tool can convert hundreds of thousands of data points into actionable intelligence like patterns of life, call detail analysis, comparisons of entities, multi-target analysis, and predictions. This intelligence enables force multiplication, faster access to information, increased value of surveillance investments, and safety for agents.
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Similar to ICU MULTIVIEW
RilwanKujenyaBDSDDVBAC-Thesis-HYDRAAR_larger
1) HYDRAAR is an augmented reality app designed to aid emergency professionals by visualizing important information directly in their field of view.
2) The app has different modes like Walking Mode, Glance Mode, and Full Map View to display tags, locations, and other data.
3) It is intended to assist with navigation, object detection, monitoring devices, connectivity between users, and remotely controlling devices like doors and cameras. This would allow emergency responders to make effective rescue decisions.
ICU TRACKSMITH
This document describes an intelligent tracking software called icu tracksmith that can analyze location data from multiple sources to identify travel patterns and destinations of surveillance targets. It visualizes location patterns and frequencies to determine an overall pattern of life. The software instantly generates comprehensive itinerary reports and maps to show a target's daily or full travel sequence. It is designed to make location-based surveillance more effective for law enforcement and security agencies.
Gi sdoc
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VizDyn and spatial utility Dec 2014
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ICU Enterprise
The document describes a web-based software called icu enterprise that analyzes location data from multiple sources to identify patterns of life. It can now be deployed centrally for an entire organization on their secure network server. The icu enterprise provides enhanced capabilities like new reporting functionality and interface upgrades while supporting multiple simultaneous users analyzing the same data. It saves organizations significant time and costs in their analysis and can pay for itself within weeks.
ICU TRACKNET
icu tracknet is a software that analyzes geo-location data from multiple targets to identify relationships between targets and uncover criminal networks. It can identify who meets who, where, when, and for how long by surfacing common meeting locations and offset meeting times that may indicate dead-drop activity. The software prioritizes targets, finds meeting locations, and provides an immediate understanding of all relationships within a network to help investigators and analysts acquire targets faster and improve mission success.
ICU CELLULAR
The document describes a cell ping companion called icu cellular. It defines cell surveillance, cell ping data, and icu cellular. Icu cellular is a solution that collects email data from carriers about a target's location, processes it, and plots the target's movement on a map automatically. It can live track up to 5 targets simultaneously, export data in an open format, and instantly view or filter a target's historical travel. Icu cellular organizes cell ping data to monitor target movement without having to decipher individual emails.
L IVE T ILES I N M AINFRAME
This paper proposes the usage of Live Tiles Usabili
ty Experience in Mainframes. The UI
experience was brought into the mainframe CICS maps
. The map related parameters and
attributes are used for achieving the live tiles di
splay and enhancing the user experience. The
dynamic tiles UI is provided with location based in
terfacing on the CICS map. The concept of
Temporary storage Queue (TSQ) is implemented in ord
er to display the information and the
concept of cursor positioning is also used to make
the application user friendly. This paper also
addresses how Live Tiles will improve the user inte
rface in Mainframes. Live tile is implemented
using COBOL, DB2, CICS in mainframe
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This document demonstrates how tracking data from GPS tags and other sources can be analyzed in ICU Workbench and integrated into IBM i2 Analyst's Notebook to assist an investigation. ICU Workbench identified unusual patterns in a person of interest's movements. When this data was exported to i2, it revealed connections between individuals that helped uncover a relationship involving bribery between a criminal gang and a court official. Analyzing tracking data in this integrated way provided valuable intelligence that helped resolve the case.
ICU WORKBENCH - The Art of Where
The document summarizes an ICU Workbench location analysis solution. It rapidly analyzes geo-temporal data from surveillance to identify patterns of life, destinations visited, and connections between targets. This saves analysts significant time over manual analysis. It can process long-term tracking data and combine disparate sources for comprehensive insights into target behavior. The solution has proven effective in intelligence and law enforcement operations.
ICU PREDICTIONS
The document discusses an "icu predictions module" that analyzes historical tracking data to generate a "travel fingerprint" of a target, allowing users to predict future activity and optimize mission planning. It claims this improves target acquisition, takedown planning, and the safety and efficiency of surveillance teams. The module uses a target's full historical travel patterns to produce concise summaries and predictions, helping with mission success, faster target acquisition, and maximizing safety.
ICU OBSERVER
The document describes an electronic monitoring software called ICU Observer that helps corrections officials efficiently manage offender caseloads. It saves officers time by rapidly visualizing an offender's movement patterns over any time period to answer questions about where they went, how often, and who they met. It processes data from any electronic monitoring provider and allows officers to flag locations or be alerted to entirely new places. This helps identify any needed investigation into an offender's activities while saving officers valuable time.
icuWorkbench - Use cases
The document discusses the ICU Workbench software tool which analyzes tracking data to identify patterns of life and travel patterns. It is used by law enforcement and intelligence organizations. The software has 5 key modules and has helped customers by reducing analysis time, identifying targets' homes and work locations, combining different data sources, and discovering relationships between targets. Specific use cases are provided where the software helped catch criminals and uncover intelligence.
Case Study - Waterloo Regional Police
The Waterloo Regional Police Service used to have an investigator spend full time manually analyzing location data from tracking devices and cell phones to generate reports on suspects' patterns of movement and activities. This was a time-consuming process. The police service purchased ICU Workbench software, which automatically analyzes location data and generates pattern of life reports. This new process provides deeper insights into suspects' behaviors more quickly. It allows the investigator previously dedicated to data analysis to return to field work, while gaining more powerful intelligence. The new software has significantly reduced the time needed to analyze location data and freed up resources for more optimal use.
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G2 Research provides software to defense, intelligence, and law enforcement agencies to analyze location-based surveillance data and extract actionable intelligence. Their software can summarize over 80,000 location fixes from 51 days of tracking data into a visual representation in under 2 minutes. This helps analysts who currently spend most of their time on data collection and only 20% of their time creating intelligence. The software also enables predictions of targets' patterns of life and identification of networks and locations of interest to improve mission planning and coordination of surveillance teams.
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Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentationsみなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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