Impacts of hydropower on farmers' livelihoods in the Sre Pok River in Vietnam: Case study of the Buon Tua Srah hydropower Project
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By Chau Thi Minh Long, The Western Highlands Agriculture and Forestry Science and Technology Institute, M-POWER Fellow Presented at the Mekong Forum on Water, Food and Energy Phnom Penh, Cambodia December 7-9, 2011 Session 8a: Presenting the Work of the M-POWER Fellows
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![Impacts of hydropower on farmers’ livelihoods in the Sre Pok River in Vietnam: A case study of the Buon Tua Srah hydropower Project By Chau Thi Minh Long, MSc The Western Highlands Agriculture and Forestry Science and Technology Institute (WASI) [email_address]](https://image.slidesharecdn.com/buontursarhhydropowerlong-111214220635-phpapp01/85/Impacts-of-hydropower-on-farmers-livelihoods-in-the-Sre-Pok-River-in-Vietnam-Case-study-of-the-Buon-Tua-Srah-hydropower-Project-1-320.jpg)
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This document discusses solar and hydroelectric energy. It provides details on how solar energy is a renewable resource harnessed from the sun to provide heating, electricity and food cooking. It also discusses hydroelectric energy which uses the kinetic energy of flowing water through dams to power generators and produce electricity. The largest solar plant currently operates in California, while major hydroelectric dams in India harness energy from falling or flowing water without pollution. Both solar and hydroelectric are renewable but dams can impact wildlife, sedimentation and submerge land.
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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.
GraphRAG for Life Science to increase LLM accuracy
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