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After the devastating 2004 Indian Ocean tsunami, a tsunami warning system was developed since much of the region previously lacked sea level monitoring equipment. The new system enables tsunamis to be detected so residents can be warned and evacuate more safely. It is important for the warning system to quickly analyze earthquakes to shorten the time between a tsunami being generated and residents being notified so they have more time to evacuate safely. The warnings also need to be effectively communicated to all residents using multiple technologies to ensure everyone receives the notification.
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Luigi A. Silva Ruiz is a Spanish-American man who was born in Madrid, Spain and immigrated to the United States at age 18 to attend college in California. He studied business administration and now works as a manager for a technology startup in San Francisco. In his free time, Luigi enjoys hiking, traveling, and spending time with his wife and two children.
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The document discusses the Indian Ocean tsunami warning system. It describes how when an earthquake occurs near the Indian Ocean, data is sent to tsunami warning centers in Japan and Hawaii who then predict the size and arrival time of potential tsunamis and share this information with countries in Asia. National governments then inform people through various communication methods like radio, TV, SMS and loudspeakers. The warning centers analyze earthquakes by determining time, location and size, then simulating tsunami processes based on seafloor data which takes 15-20 minutes. The system aims to establish earlier tsunami warnings in the region after a deadly 2004 tsunami.
Article 3
The Indian Ocean Tsunami warning system detects potential tsunamis through a network of seismographic and ocean monitoring stations across the Indian Ocean. When an earthquake occurs, data is transmitted to warning centers in Hawaii and Japan to analyze and issue watches or warnings. National warning agencies are meant to communicate these to other countries, though coordination could be improved. At the local level, organizations work to educate communities on tsunami safety and how to respond to warnings.
Article #3
The Indian Ocean tsunami warning system has improved since 2004, but still has gaps. When an earthquake occurs, data is transmitted to warning centers in Hawaii and Japan who monitor for tsunamis. Larger countries now share data with smaller nations. Non-profits educate local communities on tsunami safety and what to do if an earthquake or tsunami is detected.
Sw3 s1180190
1) After the deadly 2004 Indian Ocean tsunami, a warning system was established across the Indian Ocean region to detect potential tsunamis and share warnings.
2) When an earthquake occurs, data is sent to warning centers in Hawaii and Japan which analyze the data and issue watches to countries in the Indian Ocean.
3) National agencies are responsible for delivering warnings to their populations through various means like evacuation drills, but the author believes the system and understanding of tsunamis must continue to improve to help all people in earthquake-prone areas.
Sw 6
The document discusses the development of the Indian Ocean tsunami warning system. It describes how the 2004 Indian Ocean tsunami caused widespread damage and death, prompting India to create a warning system. The system involves sensors detecting earthquakes and tsunamis, with data sent to warning centers in Hawaii and Japan to analyze risks and inform people through methods like radio, TV, and email. While the technology is still developing, community organizations are working to educate people on tsunami preparedness.
Homework-tsunami warning system
The Indian Ocean tsunami warning system detects tsunamis and issues warnings to prevent loss of life and property. The Pacific Tsunami Warning Center and Japan Meteorological Agency are responsible for warnings in the Indian Ocean. Warnings are delivered by radio, TV, SMS, email and sirens. The 2004 Indian Ocean tsunami that killed 230,000 people exposed deficiencies in the early warning system, leading to improvements with more seismic and ocean monitoring stations across the region.
Speaking&writting3 slide3
The Pacific Tsunami Warning Center has warned Pacific Ocean countries of killer tsunamis for 40 years. After 2004, governments improved early detection systems. Countries now share data, allowing many to learn of tsunamis sooner. Hawaii and Japan analyze earthquake data to predict tsunami risks and sizes to warn people via radio, TV, SMS and email, helping protect lives.
Indian ocean tsunami_warning_system_ 3
The document discusses the Indian Ocean Tsunami Warning System. Earthquake data is collected by agencies in Japan and Hawaii and sent to the Pacific Tsunami Warning Center (PTWC). PTWC then sends tsunami vigilance information to countries around the Indian Ocean. The system was improved after the devastating 2004 Indian Ocean tsunami. It now includes Deep-ocean Assessment and Reporting of Tsunamis (DART) stations that can detect tsunamis far from shore and send data to PTWC to help with warnings. Warnings are then disseminated to the public using methods like radio, television, SMS and email.
Sw3 6
The document discusses the tsunami warning system in the Indian Ocean following the devastating 2004 tsunami. It describes how prior to 2004 there was no monitoring system, but afterwards a network of seismographic centers was established across the Indian Ocean to detect potential tsunamis and warn communities. The system involves the Pacific Tsunami Warning Center (PTWC) investigating earthquakes and oceanography data and checking tide gauges to determine if a tsunami warning needs to be issued.
Sw3 assignment11 3
The Indian Ocean Tsunami Warning System was established after the devastating 2004 tsunami. Over the next 5 years, a network of agencies was set up to analyze earthquake data and transmit tsunami warnings. When an earthquake occurs, data is sent to warning centers in Hawaii and Japan for analysis. Warnings are then communicated to countries around the Indian Ocean using radio, TV, SMS, email, mosques, and megaphones to help coordinate evacuations. The system aims to inform people so they can help each other in the event of a tsunami.
Sw3 assignment11 3
The Indian Ocean Tsunami Warning System was established after the devastating 2004 tsunami. Over the next 5 years, a network of agencies was set up to analyze earthquake data and transmit tsunami warnings. When an earthquake occurs, data is sent to warning centers in Hawaii and Japan for analysis. Warnings are then communicated to local agencies through radio, TV, SMS, email, mosques, and megaphones to coordinate evacuations and help people. The system aims to inform people so they understand tsunami risks and how to evacuate safely.
Sw3 assignment11 3
The Indian Ocean Tsunami Warning System was established after the devastating 2004 tsunami. Over the next 5 years, a network of agencies was set up to analyze earthquake data and transmit tsunami warnings. When an earthquake occurs, data is sent to warning centers in Hawaii and Japan for analysis. Warnings are then communicated to local agencies through radio, TV, SMS, email, mosques, and megaphones to coordinate evacuations and help people. The system aims to inform people so they understand tsunami risks and how to evacuate safely.
How the indian_ocean_tsunami_warning_system_wo
The Indian Ocean Tsunami Early Warning System was established in 2004 after the devastating tsunami killed over 230,000 people. The system utilizes seismic and deep ocean sensors to detect earthquakes and potential tsunamis, with data sent to warning centers in Hawaii and Japan. These centers analyze the data and issue watches and warnings to Regional Tsunami Watch Providers and government agencies in Indian Ocean countries, who are responsible for alerting local communities if needed. The end-to-end warning system aims to detect tsunamis within 15-20 minutes and provide communities time to evacuate threatened areas.
How the indian_ocean_tsunami_warning_system_wo
The Indian Ocean Tsunami Early Warning System was established in 2004 after the devastating tsunami killed over 230,000 people. The system utilizes seismic and deep ocean sensors to detect earthquakes and potential tsunamis, with data sent to warning centers in Hawaii and Japan. These centers analyze the data and issue watches or warnings to Regional Tsunami Watch Providers and government agencies in Indian Ocean countries, who are responsible for alerting local communities if needed. The end-to-end warning system aims to detect tsunamis and provide communities with timely alerts to help save lives.
Sw3 6 14_b
The document describes how the Indian Ocean tsunami warning system works. After the devastating 2004 tsunami, countries around the Indian Ocean realized they needed a warning system like the one used in the Pacific. They installed sea level monitoring instruments that detect tsunamis and send data to the Pacific Tsunami Warning Center. The PTWC then issues warnings via radio, TV, SMS, email and other means. Education efforts teach people what to do upon receiving a warning to help minimize damage from future tsunamis.
Sw3 6 14_b
The document describes how the Indian Ocean tsunami warning system works. After the devastating 2004 tsunami, countries around the Indian Ocean realized they needed a warning system like the one used in the Pacific. They installed sea level monitoring instruments that detect tsunamis and send data to the Pacific Tsunami Warning Center. The PTWC then issues warnings via radio, TV, SMS, email and other means. Education efforts teach people what to do upon receiving a warning to help minimize damage from future tsunamis.
How the indian_cean_tsunami
The document summarizes how the Indian Ocean tsunami warning system works. Following the devastating 2004 tsunami, an early warning system was created by the Intergovernmental Oceanographic Commission. A network of seismographic and ocean monitoring stations was established across the Indian Ocean to detect potential tsunamis. Data is transmitted to warning centers in Hawaii and Japan who analyze it to determine the size of earthquakes and issue watch alerts. While technology has improved monitoring, warnings do not always reach all affected areas due to issues with infrastructure, language barriers or technology limitations.
How the indian_cean_tsunami
The document summarizes how the Indian Ocean tsunami warning system works. Following the devastating 2004 tsunami, an early warning system was created by the Intergovernmental Oceanographic Commission. A network of seismographic and ocean monitoring stations was established across the Indian Ocean to detect potential tsunamis. Data is transmitted to warning centers in Hawaii and Japan who analyze it to determine the size of earthquakes and issue watch alerts. While technology has improved monitoring, warnings do not always reach all affected areas due to issues with infrastructure, language barriers or technology limitations.
How the indian_cean_tsunami
The document summarizes how the Indian Ocean tsunami warning system works. Following the devastating 2004 tsunami, an early warning system was created by the Intergovernmental Oceanographic Commission. A network of seismographic and ocean monitoring stations was established across the Indian Ocean to detect potential tsunamis. Data is transmitted to warning centers in Hawaii and Japan who analyze it to determine the size of earthquakes and issue watch alerts. Countries share data and responsibility for monitoring and warning. However, technology does not reach all areas and warnings may not be understood by all, presenting ongoing challenges to providing effective warnings.
How tsunami warning_system_in_the_indian_ocean
The document discusses the tsunami warning system in the Indian Ocean. It notes that a 2004 tsunami in the region killed over 230,000 people. The system works by detecting earthquakes that may trigger tsunamis, then calculating wave heights and arrival times to provide enough time for people to evacuate threatened areas. International organizations like NGOs and UNESCO help operate the system and warn other countries that could be impacted. The conclusion states the system is important for protecting lives, as lessons were learned from the devastating 2004 tsunami.
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Tsunami warning system
The document discusses the Indian Ocean tsunami warning system. It describes how when an earthquake occurs near the Indian Ocean, data is sent to tsunami warning centers in Japan and Hawaii who then predict the size and arrival time of potential tsunamis and share this information with countries in Asia. National governments then inform people through various communication methods like radio, TV, SMS and loudspeakers. The warning centers analyze earthquakes by determining time, location and size, then simulating tsunami processes based on seafloor data which takes 15-20 minutes. The system aims to establish earlier tsunami warnings in the region after a deadly 2004 tsunami.
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The Indian Ocean Tsunami warning system detects potential tsunamis through a network of seismographic and ocean monitoring stations across the Indian Ocean. When an earthquake occurs, data is transmitted to warning centers in Hawaii and Japan to analyze and issue watches or warnings. National warning agencies are meant to communicate these to other countries, though coordination could be improved. At the local level, organizations work to educate communities on tsunami safety and how to respond to warnings.
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The Indian Ocean tsunami warning system has improved since 2004, but still has gaps. When an earthquake occurs, data is transmitted to warning centers in Hawaii and Japan who monitor for tsunamis. Larger countries now share data with smaller nations. Non-profits educate local communities on tsunami safety and what to do if an earthquake or tsunami is detected.
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1) After the deadly 2004 Indian Ocean tsunami, a warning system was established across the Indian Ocean region to detect potential tsunamis and share warnings.
2) When an earthquake occurs, data is sent to warning centers in Hawaii and Japan which analyze the data and issue watches to countries in the Indian Ocean.
3) National agencies are responsible for delivering warnings to their populations through various means like evacuation drills, but the author believes the system and understanding of tsunamis must continue to improve to help all people in earthquake-prone areas.
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The document discusses the development of the Indian Ocean tsunami warning system. It describes how the 2004 Indian Ocean tsunami caused widespread damage and death, prompting India to create a warning system. The system involves sensors detecting earthquakes and tsunamis, with data sent to warning centers in Hawaii and Japan to analyze risks and inform people through methods like radio, TV, and email. While the technology is still developing, community organizations are working to educate people on tsunami preparedness.
Homework-tsunami warning system
The Indian Ocean tsunami warning system detects tsunamis and issues warnings to prevent loss of life and property. The Pacific Tsunami Warning Center and Japan Meteorological Agency are responsible for warnings in the Indian Ocean. Warnings are delivered by radio, TV, SMS, email and sirens. The 2004 Indian Ocean tsunami that killed 230,000 people exposed deficiencies in the early warning system, leading to improvements with more seismic and ocean monitoring stations across the region.
Speaking&writting3 slide3
The Pacific Tsunami Warning Center has warned Pacific Ocean countries of killer tsunamis for 40 years. After 2004, governments improved early detection systems. Countries now share data, allowing many to learn of tsunamis sooner. Hawaii and Japan analyze earthquake data to predict tsunami risks and sizes to warn people via radio, TV, SMS and email, helping protect lives.
Indian ocean tsunami_warning_system_ 3
The document discusses the Indian Ocean Tsunami Warning System. Earthquake data is collected by agencies in Japan and Hawaii and sent to the Pacific Tsunami Warning Center (PTWC). PTWC then sends tsunami vigilance information to countries around the Indian Ocean. The system was improved after the devastating 2004 Indian Ocean tsunami. It now includes Deep-ocean Assessment and Reporting of Tsunamis (DART) stations that can detect tsunamis far from shore and send data to PTWC to help with warnings. Warnings are then disseminated to the public using methods like radio, television, SMS and email.
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Sw3 assignment11 3
The Indian Ocean Tsunami Warning System was established after the devastating 2004 tsunami. Over the next 5 years, a network of agencies was set up to analyze earthquake data and transmit tsunami warnings. When an earthquake occurs, data is sent to warning centers in Hawaii and Japan for analysis. Warnings are then communicated to countries around the Indian Ocean using radio, TV, SMS, email, mosques, and megaphones to help coordinate evacuations. The system aims to inform people so they can help each other in the event of a tsunami.
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Sw3 assignment11 3
The Indian Ocean Tsunami Warning System was established after the devastating 2004 tsunami. Over the next 5 years, a network of agencies was set up to analyze earthquake data and transmit tsunami warnings. When an earthquake occurs, data is sent to warning centers in Hawaii and Japan for analysis. Warnings are then communicated to local agencies through radio, TV, SMS, email, mosques, and megaphones to coordinate evacuations and help people. The system aims to inform people so they understand tsunami risks and how to evacuate safely.
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How the indian_ocean_tsunami_warning_system_wo
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Sw3 6 14_b
The document describes how the Indian Ocean tsunami warning system works. After the devastating 2004 tsunami, countries around the Indian Ocean realized they needed a warning system like the one used in the Pacific. They installed sea level monitoring instruments that detect tsunamis and send data to the Pacific Tsunami Warning Center. The PTWC then issues warnings via radio, TV, SMS, email and other means. Education efforts teach people what to do upon receiving a warning to help minimize damage from future tsunamis.
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The document describes how the Indian Ocean tsunami warning system works. After the devastating 2004 tsunami, countries around the Indian Ocean realized they needed a warning system like the one used in the Pacific. They installed sea level monitoring instruments that detect tsunamis and send data to the Pacific Tsunami Warning Center. The PTWC then issues warnings via radio, TV, SMS, email and other means. Education efforts teach people what to do upon receiving a warning to help minimize damage from future tsunamis.
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As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Tomaz Bratanic
Graph ML and GenAI Expert - Neo4j
Crafting Excellence: A Comprehensive Guide to iOS Mobile App Development Serv...
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This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
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Article3
- 1. Slideshare URL for Article # 3 s1180196(Naoto Furukawa)
- 2. After the 2004 Indian Ocean tsunami, which killed nearly 230,000 people, the tsunami warning system was developed. Before the tsunami, the sea level monitoring equipment in many countries of the Indian Ocean did not exist.
- 3. Then there was a system that can detect tsunamis. So, now safely than ever before. Also, will become stronger approach to the tsunami.
- 4. First of all, to observe the tsunami center, search the arrival time of a tsunami as far as possible, is to inform the residents. So, the center will also need skills.
- 5. It is important to shorten the time to reach the earthquake tsunami. Shorten the time of the analysis is more time efficient to get people away from the tsunami.
- 6. It is also important to take measures to ensure residents promptly transmitted to inform the tsunami warning and reporting. As Japanese television, radio, information must flow to all mobile and telecom equipment, skills would be wasted in the system.
- 7. If you do not reach all areas of technology, or a warning of what I like and know that nothing speaks to confuse all the affected people.
- 8. The end