This document summarizes the mid-term review of Task 5.2 to develop a platform for near real-time control of forest operations. The task is on schedule and involves designing a module to integrate harvesting plan data with real-time data from an intelligent processing head to analyze harvested versus predicted timber and enable adjustments to storage and logistics. Key activities completed include defining the workflow and involved actors. Upcoming activities are agreeing the module architecture, developing the near real-time control platform, and testing it in a demonstration area.
Why Wait? Realtime Ingestion With Chen Qin and Heng Zhang | Current 2022HostedbyConfluent
Historically, Pinterest data warehouse ingestion and indexing services were implemented on batch ETL and Kafka streaming respectively. As the product side leans more toward real-time and near-realtime data to innovate and compete, teams work together to revamp the ingestion and processing stack in Pinterest.
In this talk, we plan to share our near-real-time ingestion system built on top of Apache Kafka, Apache Flink, and Apache Iceberg. We pick ANSI SQL as the common currency to minimize the ""lambda architecture"" learning curve of teams adopting fresh data near-realtime data.
Big Data Quickstart Series 3: Perform Data IntegrationAlibaba Cloud
See webinar video recording of this presentation at https://resource.alibabacloud.com/webinar/detail.htm?webinarId=37
As the third installment of the Alibaba Cloud Big Data Quickstart Series, this webinar presentation introduces the basic concepts and architecture of the offline processing engine MaxCompute and online integrated development environment DataWorks. This includes an explanation and demonstration of how to use the Data Integration component of DataWorks to integrate unstructured data stored in OSS and structured data stored with ApsaraDB for RDS (MySQL) to MaxCompute.
InfoSphere BigInsights - Analytics power for Hadoop - field experienceWilfried Hoge
How to analyze binary data as a technical business user. Use InfoSphere BigInsights to bring analytics on Hadoop closer to a user.
Presented at the OOP conference in Munich, 27.01.2015
(ATS3-DEV04) Introduction to Pipeline Pilot Protocol Development for DevelopersBIOVIA
An overview of techniques for building Pipeline Pilot protocols, using the languages and paradigms familiar to software developers. Sound engineering principles should be applied to the development of protocols, so this session will discuss concepts like modularity and re-use, minimizing side effects, clarity of interfaces, multi-threading, version control. We will also cover the data pipelining architecture of Pipeline Pilot and how that affects the approach to protocol authoring.
Ross King, Project Director of SCAPE, gave a short presentation of the EU funded project SCAPE, including descriptions of tools for planning and monitoring digital preservation, scalable computation and repositories, SCAPE Testbeds and where to learn more.
The presentation was given at the workshop ‘Preservation at Scale’ http://bit.ly/17ppAln in connection with the iPres2013 conference in Lissabon, Portugal, in September 2013.
IoT Ingestion & Analytics using Apache Apex - A Native Hadoop PlatformApache Apex
Internet of Things (IoT) devices are becoming more ubiquitous in consumer, business and industrial landscapes. They are being widely used in applications ranging from home automation to the industrial internet. They pose a unique challenge in terms of the volume of data they produce, and the velocity with which they produce it, and the variety of sources they need to handle. The challenge is to ingest and process this data at the speed at which it is being produced in a real-time and fault tolerant fashion. Apache Apex is an industrial grade, scalable and fault tolerant big data processing platform that runs natively on Hadoop. In this deck, you will see how Apex is being used in IoT applications and also see how the enterprise features such as dimensional analytics, real-time dashboards and monitoring play a key role.
Presented by Pramod Immaneni, Principal Architect at DataTorrent and PPMC member Apache Apex, on BrightTALK webinar on Apr 6th, 2016
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Biological screening of herbal drugs: Introduction and Need for
Phyto-Pharmacological Screening, New Strategies for evaluating
Natural Products, In vitro evaluation techniques for Antioxidants, Antimicrobial and Anticancer drugs. In vivo evaluation techniques
for Anti-inflammatory, Antiulcer, Anticancer, Wound healing, Antidiabetic, Hepatoprotective, Cardio protective, Diuretics and
Antifertility, Toxicity studies as per OECD guidelines
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
2. Project SLOPE
WP5 T5.1 – Database to support novel
inventory data content
Brussels, 2nd July, 2015
Mid-term Review
2/Jul/15
3. Overview
Mid-term Review
2/Jul/2015
• Status: Completed (100%)
• Length: 10 Months (From M08 to M17)
• Involved Partners
• Leader: MHG
• Participants: GRAPHITECH, CNR, COAST, FLY, TRE, ITENE
• Aim: Design and implement database and web service interfaces
to support inventory and spatial data
• Output: D5.01 Inventory module of the FIS (Prototype)
4. Objectives
• Design the database to support inventory and spatial data
• Implement database to relation database management
system (RDBMS)
• Design and implement interfaces to this database
• Construct deployment platform for the database and the
web service module
• Deploy prototype to the deployment platform
• Make technical description about the implementation
Mid-term Review
2/Jul/15
5. Inventory module of the FIS
Very central component of whole SLOPE system architecture
Mid-term Review
2/Jul/15
6. Milestones
M08 M09 M10 M11 M12 M13 M14 M15 M16 M17
Start M08 – End M17
1. First database
design
2. Web Service
design
3. Database ready
v3.3
4. Web Service
module
and source code
management
6. Report and
task ready
5. Deployment
platform
Mid-term Review
2/Jul/15
8. Deliverable – FIS Database
• Implemented on MySQL database engine
• MySQL Spatial Extensions for storing spatial data
• Database includes four logical sections:
• User management
• Real estate management
• Tree and product management
• Storage and logistics
• Integration of the logistic model by ITENE
Mid-term Review
2/Jul/15
10. Deliverable –Web Service
• Light weight Web Service -module to read and write data from FIS database
• Implemented with Java, easy to extend
• Standard REST interface with XML and JSON support
• Source code of this module is hosted on BitBucket Git repository
• Secured with Basic authentication and Secure Socket Layer (HTTPS)
Mid-term Review
2/Jul/15
11. Deliverable – Deployment
• FIS components are hosted on Jelastic
cloud platform (Platform as a Service)
• Platform is hosted in Helsinki, Finland
• Own independent environment for
SLOPE FIS
• Apache Tomcat, Java 8, and MySQL 5.7
• Jelastic works well on mission critical
and high availability cloud services
• Scales horizontally and vertically for
our performance needs
• Domain: slopefis.mhgsystems.com
Mid-term Review
2/Jul/15
12. Summary
• Overall, this task went very well.
• Communication with partners worked well, all needed feedback returned
on time
• The deliverable was finished on time
• Goals were reached correctly
• This prototype gives us very good base for SLOPE platform development
and integration work
• The prototype will be developed further during the project
• New interfaces
• Database extensions
• Deliverable report can be found from project’s Dropbox
• Web Service is published on https://slopefis.mhgsystems.com/slope-fis/
Mid-term Review
2/Jul/15
14. T5.2- Platform for near real time control of operations
Introduction
Task: T5.02 Platform for near real time control of operations
Task Leader: Treemetrics
Partners involved: GRAPHITECH, CNR, MHG, ITENE
Deliverable: D5.02 Real Time supply chain control module of FIS
Status: On going
Mid-term Review
2/July/15
15. PRESENTATION:
Part 1: Scope of work
Part 2: Definion of workflow
Part 3: Module achitecture
Part 4: Planned activities
T5.2- Platform for near real time control of operations
Introduction
Objective:
Develop a system that allows for the near real time control of operations .
Mid-term Review
2/July/15
Task: T5.02 Platform for near real time control of operations
16. Development phases
DESIGN DEVELOPMENT TESTING /
DEMOSTRATION
Load harvesting data
and demonstrate
functionalities
Real Time Supply
Chain Control
GUI
Harvesting Data Analysis
Integration with
harvesting plan tools
T5.2- Platform for near real time control of operations
Scope of work
Mid-term Review
2/July/15
17. Scope of the work
1. Develop Real Time Supply Chain Control module - MHG
a. Integration of Harvesting Plan modules (task 5.1)
i. Tree and products information display –FID tagged- (task 2.4)
ii. Storage and logistics data entry (task 2.5)
iii. Timber Supply Plan –MHG/CNR/ITENE-
b. Real Time Harvesting Control
i. Integrate Intelligent Processing Head data (task 3.6) -CNR/MHG-
ii. Harvesting Data Analysis (predicted vs. estimated) -TRE
iii. Harvest vs. predicted tree and products information (GUI)-MHG-
iv. Storage and logistics (modify data when required) -CNR/ITENE-
v. Review Timber Supply Plan -CNR-
T5.2- Platform for near real time control of operations
Scope of work
Mid-term Review
2/July/15
18. Task performed
1. Definition of the workflow and actors involved.
• Overview of the Real Time Supply Chain Control platform
architecture
T5.2- Platform for near real time control of operations
Scope of work
Mid-term Review
2/July/15
19. 2. - HARVESTING PLAN (ITENE/ MHG)
3. PROCESSING HEAD SOFTWARE
(Task 3.6) - CNR
-Real timber products data
- Timber products summary
- Quality indexes
5. MONITORING PLATFORM - MHG
4.2.- Planning review (logistic) ITENE
-Review or point 2
4.1.- Monitoring - CNR
-Review Timber Supply Plan
4. HARVESTING DATA ANALYSIS - TRE
- Compare predicted vs. estimated
- Infrastructure (roads, access)
- No./ harvesting machines
- Storage location
- Location of machines, ETC
1. INVENTORY DATA (TRE)
1.1.- Timber assets
-Expected amount of timber to cut
-Expected Products assortments
-Tree location
Workflow
T5.2- Platform for near real time control of operations
Definion of workflow
Mid-term Review
2/July/15
20. T5.2- Platform for near real time control of operations
Module achitecture
Mid-term Review
2/July/15
21. Related Funtional Modules
T5.2- Platform for near real time control of operations
Module achitecture
Mid-term Review
2/July/15
22. T5.2- Platform for near real time control of operations
Platform achitecture
• Integration of Processing Head
• GPRS/UMTS data transfer (Task 3.6)
• Decompression of data and storage in the database
• Access to the data from Harvesting Control platform
• Data comparison analysis
• Access to the Processing Head data (timber products and quality
indexes)
• Compare harvested vs. predicted timber products and quality
indexes information
• Real Time Harvesting Control platform
• Display predicted timber products and Processing Head data
• Display data comparison analysis (harvested vs. predicted)
• Facilitate modification of storage and logistics (when required)
Mid-term Review
2/July/15
23. T5.2- Platform for near real time control of operations
Platform achitecture
Mid-term Review
2/July/15
Task 1.3
24. Planned Activities
1. Agree module architecture design with partners (next
weeks)
2. Develop for near real time control platform (M20)
3. Test near real time harvesting control in the demo area
(M22).
T5.2- Platform for near real time control of operations
Planned activities
Mid-term Review
2/July/15