The document discusses Task 5.5 of Project SLOPE, which aims to develop a mid-long term optimization and strategic planning module for the Forest Information System (FIS). It will utilize the IPTIM software tool to produce optimal harvesting and sales plans over 1-10 years. Key points discussed include: using growth models and stand simulations to create realistic plans; setting goals to minimize costs or maximize profits; including spatial and temporal clustering to improve efficiency; and enabling continuous adaptation of plans based on new supply chain data integrated into the FIS. The results will include demo harvesting plans, process models, planning indicators and guidelines to aid mid-long term optimization.
The SLOPE project aims to optimize forest production through a 3D virtual forest system to support harvesting operations in mountainous areas. The system will integrate data from forest surveys, digital terrain and forest models, and real-time sensor data to create a digital model of the forest. This model will then support various harvesting planning and monitoring tasks, such as cableway deployment planning, working area setup, and tree felling monitoring. The system is being developed as a web-based application to allow easy access and integration with other services. It will track the entire process from tree tagging to sawmill processing.
The document summarizes the work done for Task 3.4 of the SLOPE project. An intelligent processor head was developed that can perform grading and marking of logs. Sensors were added to measure stress waves, cutting forces, near infrared spectra and hyperspectral images. The processor head can determine wood properties and mark each log with an RFID tag containing collected information. All systems were designed, implemented and tested on the processor head prototype, fulfilling the objectives of the task.
The document provides a mid-term review of work being done on Project SLOPE. It summarizes the status of tasks relating to developing an intelligent cable crane system. The TECNO self-propelled carriage has been completed mechanically and is stored, with only the electric box and wiring remaining. Work is ongoing to integrate sensors into the software over the next few months to develop deliverables due. Chokers and a synthetic rope launcher are also being developed as part of creating an intelligent cable harvesting system for steep terrain forest operations.
The document summarizes the status of Project SLOPE's Task 6.1 on system integration. It describes the development of an integrated forest management system through three main integration steps. The first step focuses on connecting forest inventory and harvesting software and hardware. It discusses the development of alpha versions 1.0 through 1.2 and plans to validate the initial integration and fill the system's database with real-time pilot data. Overall, the integration work is progressing well and establishing guidelines for efficient continuous integration of the various project components.
WP 1 of the Project SLOPE was completed and focused on defining requirements for the system. It identified user needs through questionnaires, defined the necessary hardware, equipment and sensors, specified the user interface guidelines for desktop, mobile and in-vehicle access, developed a data and metadata model for storing forest information, and designed a scalable system architecture based on service-oriented principles. All deliverables were finalized and submitted on schedule, though some partners left the project early on. The work specified what was needed to develop the SLOPE Forest Information System.
The document summarizes work from Project SLOPE's Work Package 5 on developing a forest information system. It discusses five tasks related to creating different modules for the system. The tasks focused on developing a database, real-time operations platform, online purchasing platform, and short and long-term optimization modules. All prototypes were completed and delivered by month 36. The system integrates forest data and provides tools to support planning, operations management, sales and optimization across timescales. It represents an innovative approach to developing a modern, integrated digital system for the forest sector.
Slope Final Review Meeting - Introduction SLOPE Project
This document summarizes the agenda and objectives of a final review meeting for the SLOPE project. The SLOPE project aims to develop integrated processing and control systems to improve sustainability in mountain forest production. The meeting agenda covers reviewing progress on tasks in areas like requirements analysis, forest data collection, intelligent harvesting systems, quality control, and system integration. The objectives of the meeting are to evaluate fulfillment of deliverables, continued relevance of objectives, resource use, contributions of partners, and plans for impact and results dissemination. The review involves 10 partners across several European countries working for 36 months on developing and testing new forest monitoring and harvesting technologies.
The SLOPE project aims to optimize forest production through a 3D virtual forest system to support harvesting operations in mountainous areas. The system will integrate data from forest surveys, digital terrain and forest models, and real-time sensor data to create a digital model of the forest. This model will then support various harvesting planning and monitoring tasks, such as cableway deployment planning, working area setup, and tree felling monitoring. The system is being developed as a web-based application to allow easy access and integration with other services. It will track the entire process from tree tagging to sawmill processing.
The document summarizes the work done for Task 3.4 of the SLOPE project. An intelligent processor head was developed that can perform grading and marking of logs. Sensors were added to measure stress waves, cutting forces, near infrared spectra and hyperspectral images. The processor head can determine wood properties and mark each log with an RFID tag containing collected information. All systems were designed, implemented and tested on the processor head prototype, fulfilling the objectives of the task.
The document provides a mid-term review of work being done on Project SLOPE. It summarizes the status of tasks relating to developing an intelligent cable crane system. The TECNO self-propelled carriage has been completed mechanically and is stored, with only the electric box and wiring remaining. Work is ongoing to integrate sensors into the software over the next few months to develop deliverables due. Chokers and a synthetic rope launcher are also being developed as part of creating an intelligent cable harvesting system for steep terrain forest operations.
The document summarizes the status of Project SLOPE's Task 6.1 on system integration. It describes the development of an integrated forest management system through three main integration steps. The first step focuses on connecting forest inventory and harvesting software and hardware. It discusses the development of alpha versions 1.0 through 1.2 and plans to validate the initial integration and fill the system's database with real-time pilot data. Overall, the integration work is progressing well and establishing guidelines for efficient continuous integration of the various project components.
WP 1 of the Project SLOPE was completed and focused on defining requirements for the system. It identified user needs through questionnaires, defined the necessary hardware, equipment and sensors, specified the user interface guidelines for desktop, mobile and in-vehicle access, developed a data and metadata model for storing forest information, and designed a scalable system architecture based on service-oriented principles. All deliverables were finalized and submitted on schedule, though some partners left the project early on. The work specified what was needed to develop the SLOPE Forest Information System.
The document summarizes work from Project SLOPE's Work Package 5 on developing a forest information system. It discusses five tasks related to creating different modules for the system. The tasks focused on developing a database, real-time operations platform, online purchasing platform, and short and long-term optimization modules. All prototypes were completed and delivered by month 36. The system integrates forest data and provides tools to support planning, operations management, sales and optimization across timescales. It represents an innovative approach to developing a modern, integrated digital system for the forest sector.
Slope Final Review Meeting - Introduction SLOPE Project
This document summarizes the agenda and objectives of a final review meeting for the SLOPE project. The SLOPE project aims to develop integrated processing and control systems to improve sustainability in mountain forest production. The meeting agenda covers reviewing progress on tasks in areas like requirements analysis, forest data collection, intelligent harvesting systems, quality control, and system integration. The objectives of the meeting are to evaluate fulfillment of deliverables, continued relevance of objectives, resource use, contributions of partners, and plans for impact and results dissemination. The review involves 10 partners across several European countries working for 36 months on developing and testing new forest monitoring and harvesting technologies.
This document summarizes dissemination activities for the Project SLOPE from July 4-5, 2016 in Trento, Italy. It describes the dissemination plan, including a timeline of activities such as brochures, newsletters, conferences, and trade fairs planned through the project. It provides updates on the project website, social media, recent events attended, and upcoming events. It also discusses cooperation with other related projects and plans for four technical workshops to disseminate project results.
The document summarizes the results of WP8 Task 8.1 on dissemination planning and publications. It describes the dissemination activities carried out, including developing dissemination materials, maintaining a project website and social media presence, organizing workshops and conferences, engaging with other related projects, publishing scientific papers and articles, and issuing press releases to promote the project results. The task was completed over the full 36-month project period and ensured visibility of the project activities and wide dissemination of the technical results.
The document discusses the development of a forest information system called Project SLOPE. It involves 5 work packages, including the development of a database to support novel inventory data (WP5.1), a platform for near real-time control of forest operations (WP5.2), and an online purchasing/invoicing system for industrial timber and biomass (WP5.3). It will also include the development of modules for short-term optimization (WP5.4) and mid-long term optimization/strategic planning (WP5.5). The system will integrate data on timber quality, quantities, and origin to optimize procedures and avoid delays. It will also facilitate long-term forest planning, simulations, optimization, and
Project SLOPE is developing a forest information system to optimize timber harvesting and supply chain operations. The system will integrate real-time data on tree sizes, product distributions, and harvesting machine positions. It aims to develop modules for inventory data, real-time supply chain control, online purchasing and invoicing, and short and long-term optimization. Partners will utilize existing solutions like MHG Biomass Manager and develop new applications to track harvesting data, manage transportation logistics, and facilitate online commerce between producers and buyers. The system seeks to strengthen industry linkages and competitiveness through information sharing.
The document provides a mid-term review of Project SLOPE, which aims to develop innovative technologies for forestry operations in mountainous areas. It summarizes the status and results of Work Package 8 on dissemination and engagement activities over the first 18 months of the 36 month project. Key activities included developing dissemination strategies and materials, establishing a website and social media presence, organizing conferences and workshops, and initiating an Industrial Advisory Board with members from the forestry industry. The review indicates that dissemination goals have been achieved so far in raising awareness of the project and that focus should now turn to specific technical areas and maintaining engagement over the remainder of the project.
The document provides an overview of activities for the Project SLOPE trials and validation cycle. It describes two survey sites in Austria and Italy where the SLOPE system will be piloted and tested. Activities performed at the sites so far include UAV and TLS surveys, tree marking, and data collection. Plans for upcoming harvesting demonstrations at each site in autumn 2016 are presented, including extraction and processing scenarios. Metrics that will be used to evaluate the efficiency of the new SLOPE system are also discussed.
The document discusses dissemination activities for the SLOPE project from January 2016. It provides an overview of dissemination activities planned from 2014-2016, including brochures, newsletters, conferences, and trade fairs. It also summarizes dissemination activities and results from the last 6 months of 2015, including publications, conferences attended, and trade fairs/demonstrations participated in by various project partners.
The document summarizes a technical meeting to discuss the status and plans for Work Package 6 of the Project SLOPE, which aims to integrate various forest management systems through three main tasks, and provides updates on the progress of Tasks 6.02 involving the integration of forest inventory and harvesting systems and 6.03 on the integration of forest management systems.
Project SLOPE aims to disseminate results from sustainable forest production widely among stakeholders. Work Package 8 focuses on dissemination, exploitation of results, and standardization contributions. Key activities include developing dissemination materials, maintaining a project website and using social media, organizing workshops and a final conference, contributing to standards, and establishing an industrial advisory board. Progress will be monitored through regular reporting templates.
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.
The Task 5.3 aims to design and develop an online purchasing and invoicing platform for industrial timber and biomass. Activities completed include benchmarking existing e-trading solutions in Finland and globally, and identifying key elements for the new platform such as material identification, negotiation, bidding, and market analysis functions. The platform will facilitate trade between forest owners and buyers in a digital environment.
The document discusses progress on Work Package 7 of the Project SLOPE, which involves piloting the SLOPE timber harvesting demonstrator. Key points discussed include:
- Potential harvesting sites have been identified in Austria and Italy for demonstrating the SLOPE system.
- Tasks include developing process flow charts, identifying bottlenecks, selecting evaluation methods, and planning demonstration activities from 2015-2018.
- Process/data flow charts will be created to visualize and compare the conventional and SLOPE timber supply chains. This will help identify strengths and risks of the new system.
- Weather
- Production Targets
- Contingency Plans
Harvesting Head
Control Interface
Production
Statistics
Machine
Parameters
Tree Detection
& Recognition
SLOPE
In-Vehicle
Interface
Machine
Monitoring
Route
Planning
Cable Crane
Control
Risks and Mitigation Actions
Technical Meeting
2-4/Jul/2014
Risks:
- Integration with existing systems (MHG, TREE) not seamless
- Mobile/In-Vehicle interfaces not robust enough for field conditions
- User acceptance of new interfaces
Mitigation Actions:
- Early prototyping and testing with end users
- Modular design allowing independent development
The document summarizes a technical meeting for Project SLOPE to discuss system integration tasks and timelines. It outlines the goals of Work Package 6 to build an integrated forest management system through three stages: integrating inventory and harvesting systems; adding forest management; and validating the full system. Task 6.2 aims to integrate forest inventory with harvesting measurement and planning tools over 14 months. Testing shows progress but some requirements and use cases remain untested. An action plan was defined to complete integration and address delays.
The document summarizes work from Project SLOPE Task 2.1 on remote sensing and multispectral analysis of forest sites in Ireland and Italy. Key points include:
- Participants in Task 2.1 defined approaches to monitor tree growth and health using different vegetation indexes derived from satellite, UAV, and ground instrumentation data.
- Analysis of vegetation indexes at different scales (satellite, UAV, laser scanner) allowed estimation of biological parameters and increasingly detailed information.
- A case study in Ireland using RapidEye satellite imagery to calculate NDVI, NDRE, and CCCI showed relationships between the indices and chlorophyll levels over time.
- UAV and terrestrial laser scanner data provided more
The document discusses dissemination activities for Project SLOPE, including:
1. An overview of the dissemination plan with activities like brochures, website, social media, newsletters, and workshops.
2. Updates on dissemination tasks completed in the last period like the dissemination plan, project website, and first newsletter.
3. Upcoming dissemination events and deadlines like the next press release in April 2015 and workshops planned for 2015-2016.
This document summarizes an update on Project SLOPE's Task 3.6 on data management and backup. The task aims to develop a system for exchanging data between field hardware and a central computer, and provide a data backup strategy. It is led by CNR and involves several partners. The current status is 50% complete. A key output is a prototype portable and internally powered "black box" for daily/weekly data backups and transmitting data from areas without network coverage, due by Month 25.
The document describes Project SLOPE which aims to develop intelligent systems for tree marking, felling, hauling, and processing in mountain forests. It outlines the tasks, participants, goals, challenges, and timeline for Task 3.1 which focuses on developing an intelligent system for tree marking using RFID tags, GPS, and a rugged tablet computer to store and access forest inventory data and mark trees efficiently in mountainous terrain. The key challenges are ensuring the systems are ergonomic for mountain forest conditions and have high tag survival and reading rates to enable full traceability.
The document outlines work to be done for Project SLOPE Work Package 4, which aims to develop quality control of mountain forest production using multi-sensor modeling. Specific tasks for T4.4 include developing reports and models on using stress wave measurements, testing these on standing and felled trees and equipment, defining quality thresholds, and determining optimal sensor setup. The resources planned were 17 person-months and there was a delay in processor access that impacted work, but collaboration helped conclude the tasks.
The document provides an overview of activities for piloting the SLOPE demonstrator. It summarizes preparations for demonstrators in Sover, Italy in spring 2016 and Annaberg, Austria in autumn 2016. It describes the survey site in Annaberg including the characteristics of the forest stand and outlines activities already performed at the site. It then presents prospective plans for the harvesting demo in Annaberg, including marking trees with RFIDs, felling, extracting and processing trees. An agreement with Austrian Federal Forests to support the demo is also summarized.
This document summarizes dissemination activities for the Project SLOPE from July 4-5, 2016 in Trento, Italy. It describes the dissemination plan, including a timeline of activities such as brochures, newsletters, conferences, and trade fairs planned through the project. It provides updates on the project website, social media, recent events attended, and upcoming events. It also discusses cooperation with other related projects and plans for four technical workshops to disseminate project results.
The document summarizes the results of WP8 Task 8.1 on dissemination planning and publications. It describes the dissemination activities carried out, including developing dissemination materials, maintaining a project website and social media presence, organizing workshops and conferences, engaging with other related projects, publishing scientific papers and articles, and issuing press releases to promote the project results. The task was completed over the full 36-month project period and ensured visibility of the project activities and wide dissemination of the technical results.
The document discusses the development of a forest information system called Project SLOPE. It involves 5 work packages, including the development of a database to support novel inventory data (WP5.1), a platform for near real-time control of forest operations (WP5.2), and an online purchasing/invoicing system for industrial timber and biomass (WP5.3). It will also include the development of modules for short-term optimization (WP5.4) and mid-long term optimization/strategic planning (WP5.5). The system will integrate data on timber quality, quantities, and origin to optimize procedures and avoid delays. It will also facilitate long-term forest planning, simulations, optimization, and
Project SLOPE is developing a forest information system to optimize timber harvesting and supply chain operations. The system will integrate real-time data on tree sizes, product distributions, and harvesting machine positions. It aims to develop modules for inventory data, real-time supply chain control, online purchasing and invoicing, and short and long-term optimization. Partners will utilize existing solutions like MHG Biomass Manager and develop new applications to track harvesting data, manage transportation logistics, and facilitate online commerce between producers and buyers. The system seeks to strengthen industry linkages and competitiveness through information sharing.
The document provides a mid-term review of Project SLOPE, which aims to develop innovative technologies for forestry operations in mountainous areas. It summarizes the status and results of Work Package 8 on dissemination and engagement activities over the first 18 months of the 36 month project. Key activities included developing dissemination strategies and materials, establishing a website and social media presence, organizing conferences and workshops, and initiating an Industrial Advisory Board with members from the forestry industry. The review indicates that dissemination goals have been achieved so far in raising awareness of the project and that focus should now turn to specific technical areas and maintaining engagement over the remainder of the project.
The document provides an overview of activities for the Project SLOPE trials and validation cycle. It describes two survey sites in Austria and Italy where the SLOPE system will be piloted and tested. Activities performed at the sites so far include UAV and TLS surveys, tree marking, and data collection. Plans for upcoming harvesting demonstrations at each site in autumn 2016 are presented, including extraction and processing scenarios. Metrics that will be used to evaluate the efficiency of the new SLOPE system are also discussed.
The document discusses dissemination activities for the SLOPE project from January 2016. It provides an overview of dissemination activities planned from 2014-2016, including brochures, newsletters, conferences, and trade fairs. It also summarizes dissemination activities and results from the last 6 months of 2015, including publications, conferences attended, and trade fairs/demonstrations participated in by various project partners.
The document summarizes a technical meeting to discuss the status and plans for Work Package 6 of the Project SLOPE, which aims to integrate various forest management systems through three main tasks, and provides updates on the progress of Tasks 6.02 involving the integration of forest inventory and harvesting systems and 6.03 on the integration of forest management systems.
Project SLOPE aims to disseminate results from sustainable forest production widely among stakeholders. Work Package 8 focuses on dissemination, exploitation of results, and standardization contributions. Key activities include developing dissemination materials, maintaining a project website and using social media, organizing workshops and a final conference, contributing to standards, and establishing an industrial advisory board. Progress will be monitored through regular reporting templates.
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.
The Task 5.3 aims to design and develop an online purchasing and invoicing platform for industrial timber and biomass. Activities completed include benchmarking existing e-trading solutions in Finland and globally, and identifying key elements for the new platform such as material identification, negotiation, bidding, and market analysis functions. The platform will facilitate trade between forest owners and buyers in a digital environment.
The document discusses progress on Work Package 7 of the Project SLOPE, which involves piloting the SLOPE timber harvesting demonstrator. Key points discussed include:
- Potential harvesting sites have been identified in Austria and Italy for demonstrating the SLOPE system.
- Tasks include developing process flow charts, identifying bottlenecks, selecting evaluation methods, and planning demonstration activities from 2015-2018.
- Process/data flow charts will be created to visualize and compare the conventional and SLOPE timber supply chains. This will help identify strengths and risks of the new system.
- Weather
- Production Targets
- Contingency Plans
Harvesting Head
Control Interface
Production
Statistics
Machine
Parameters
Tree Detection
& Recognition
SLOPE
In-Vehicle
Interface
Machine
Monitoring
Route
Planning
Cable Crane
Control
Risks and Mitigation Actions
Technical Meeting
2-4/Jul/2014
Risks:
- Integration with existing systems (MHG, TREE) not seamless
- Mobile/In-Vehicle interfaces not robust enough for field conditions
- User acceptance of new interfaces
Mitigation Actions:
- Early prototyping and testing with end users
- Modular design allowing independent development
The document summarizes a technical meeting for Project SLOPE to discuss system integration tasks and timelines. It outlines the goals of Work Package 6 to build an integrated forest management system through three stages: integrating inventory and harvesting systems; adding forest management; and validating the full system. Task 6.2 aims to integrate forest inventory with harvesting measurement and planning tools over 14 months. Testing shows progress but some requirements and use cases remain untested. An action plan was defined to complete integration and address delays.
The document summarizes work from Project SLOPE Task 2.1 on remote sensing and multispectral analysis of forest sites in Ireland and Italy. Key points include:
- Participants in Task 2.1 defined approaches to monitor tree growth and health using different vegetation indexes derived from satellite, UAV, and ground instrumentation data.
- Analysis of vegetation indexes at different scales (satellite, UAV, laser scanner) allowed estimation of biological parameters and increasingly detailed information.
- A case study in Ireland using RapidEye satellite imagery to calculate NDVI, NDRE, and CCCI showed relationships between the indices and chlorophyll levels over time.
- UAV and terrestrial laser scanner data provided more
The document discusses dissemination activities for Project SLOPE, including:
1. An overview of the dissemination plan with activities like brochures, website, social media, newsletters, and workshops.
2. Updates on dissemination tasks completed in the last period like the dissemination plan, project website, and first newsletter.
3. Upcoming dissemination events and deadlines like the next press release in April 2015 and workshops planned for 2015-2016.
This document summarizes an update on Project SLOPE's Task 3.6 on data management and backup. The task aims to develop a system for exchanging data between field hardware and a central computer, and provide a data backup strategy. It is led by CNR and involves several partners. The current status is 50% complete. A key output is a prototype portable and internally powered "black box" for daily/weekly data backups and transmitting data from areas without network coverage, due by Month 25.
The document describes Project SLOPE which aims to develop intelligent systems for tree marking, felling, hauling, and processing in mountain forests. It outlines the tasks, participants, goals, challenges, and timeline for Task 3.1 which focuses on developing an intelligent system for tree marking using RFID tags, GPS, and a rugged tablet computer to store and access forest inventory data and mark trees efficiently in mountainous terrain. The key challenges are ensuring the systems are ergonomic for mountain forest conditions and have high tag survival and reading rates to enable full traceability.
The document outlines work to be done for Project SLOPE Work Package 4, which aims to develop quality control of mountain forest production using multi-sensor modeling. Specific tasks for T4.4 include developing reports and models on using stress wave measurements, testing these on standing and felled trees and equipment, defining quality thresholds, and determining optimal sensor setup. The resources planned were 17 person-months and there was a delay in processor access that impacted work, but collaboration helped conclude the tasks.
The document provides an overview of activities for piloting the SLOPE demonstrator. It summarizes preparations for demonstrators in Sover, Italy in spring 2016 and Annaberg, Austria in autumn 2016. It describes the survey site in Annaberg including the characteristics of the forest stand and outlines activities already performed at the site. It then presents prospective plans for the harvesting demo in Annaberg, including marking trees with RFIDs, felling, extracting and processing trees. An agreement with Austrian Federal Forests to support the demo is also summarized.
This document summarizes a technical meeting that took place on July 5th, 2016 for Project Slope. It discusses the status of several work packages and tasks. Task 3.6 involving data management backup is still ongoing with a prototype under development. For task 3.4, the team has integrated all hardware and software components on the processor head. Connection to the central database and uploading of required data has been accomplished. The team also worked on connecting the processor head and cable crane to verify data transfer. For task 3.3, the Tecno carriage hardware and software are complete pending RFID tag testing in the forest. Chokers and rope launchers are also ready for use pending further testing.
SLOPE Final Conference - intelligent truckSLOPE Project
- ITENE presented their work on the iTruck system, which uses RFID tags and GPS to track trucks transporting logs and send this logistic data to the SLOPE system.
- The iTruck hardware uses a Raspberry Pi connected to GPS, GPRS, and an RFID reader to automatically record tracking data as trucks are loaded and travel routes.
- Testing of the iTruck system occurred in forest areas in Spain in 2016, demonstrating its ability to optimize logistic planning and transportation of logs.
This document summarizes the progress of various tasks under Work Package 3 of the Project SLOPE, which aims to integrate novel intelligent harvesting systems operating in mountain areas.
Task 3.1 on intelligent tree marking has tested RFID tags on trees and developed a roadmap for the tagging process. Equipment for tagging and reading tags is available but the GPS capacity may need improvement.
Task 3.2 on processor head selection has defined requirements, requested offers from manufacturers, and selected a model, but the processor head has not yet been purchased. Re-engineering work is planned.
Task 3.5 on intelligent transport trucks is adding RFID reading, GPS, and data transmission capabilities to trucks to track timber and optimize
This document summarizes discussions from a July 2014 meeting of the Project SLOPE working group on openness with other activities, dissemination, and exploitation of results (WP8). Key discussion points included: overall guidelines for awareness, networking and dissemination activities; contributing to social networking platforms like LinkedIn, Facebook, and Twitter; a dissemination plan and calendar; and linking with other projects. Partners provided updates on dissemination tasks including developing a brochure, launching the project website and social media channels, releasing the first newsletter, and distributing initial press releases. An overview of relevant conferences and trade fairs for disseminating project results was also presented.
The document summarizes the work completed for Task 1.3 of defining the human-machine interfaces for the SLOPE system. It describes the process undertaken which included analyzing existing interfaces from consortium partners and defining requirements based on user needs. Interface designs were then created for desktop, mobile, in-vehicle, and ERP systems with the desktop interface having tools for analytics, operations, and forest management. The interfaces were designed based on usability principles and to integrate with existing partner systems.
SLOPE Final Conference - online purchase of timber and biomassSLOPE Project
Wuudis is an online marketplace that allows buyers and sellers to connect for the purchase of timber and biomass. The marketplace provides a simple process where sellers can create offer requests that buyers can browse, bid on, and eventually create trade contracts for accepted offers. The system also includes features for managing forestry data and real-time operations at the stand level. The goal of the Wuudis platform is to provide an easy to use system that facilitates timber and biomass trading online.
The document outlines tasks related to defining requirements for Project SLOPE. Task 1.1 involves identifying user requirements through questionnaires. Task 1.2 defines hardware and equipment needs based on user requirements. Task 1.3 focuses on defining human-machine interfaces for different scenarios like planning, harvesting, and resource management. The tasks involve various partners contributing expertise in areas like 3D modeling, inventory, harvesting, and enterprise resource planning.
This document discusses Project SLOPE's Work Package 7, which focuses on piloting the SLOPE demonstrator. Task 7.1 involves defining an evaluation methodology for testing two forest supply chains. Task 7.2 prepares demonstrators by developing experimental designs and guidelines. Task 7.3 conducts trials and validation, evaluating data collection methods, processes, and the overall performance of the supply chains. Task 7.4 provides training to operators. The goals are to demonstrate models, systems, stakeholder involvement and on-the-job training. Partners will trial and validate the framework in Austria, Italy and Norway between 2014-2016.
SLOPE Final Conference - innovative cable yarderSLOPE Project
This document discusses innovations in cable yarding machinery developed through the SLOPE project, which received EU funding. It describes new automated machines like the TECNO self-propelled carriage, which can transport loads of up to 3.2 tons at 4.5 meters/second and automatically unload. An automatic chocker system and rope launcher are also presented, which aim to increase efficiency and safety in cable logging operations. The overall goal of these new technologies is to automate processes and facilitate communication within the logging workflow.
This work package involves developing methods for quality control of mountain forest products using multi-sensor models. It has six subtasks: 1) using 3D modeling and sensors to develop a quality index for standing and felled trees, 2) evaluating near infrared spectroscopy to determine quality indexes, 3) using hyperspectral imaging to evaluate quality, 4) analyzing stress wave propagation to determine quality thresholds, 5) measuring cutting power to develop quality models, and 6) implementing the quality control system and algorithms.
The document summarizes a technical meeting held from 19-21 January 2015 for Project SLOPE. The meeting agenda covered work package goals, tasks and roles, timelines, deliverables, task details, risks and mitigation actions. Key integration tasks through 2016 were outlined to achieve a complete integration of SLOPE platform components from different work packages. Regular meetings and deliverables were scheduled to track integration progress.
Work Package 4, Task 2 aims to evaluate near infrared (NIR) spectroscopy as a tool for determining log and biomass quality indices in mountain forests. The task leader CNR will coordinate partners to collect NIR spectra at different stages of the harvesting chain and develop guidelines for proper data collection. CNR will also develop a "NIR quality index" and evaluate NIR spectroscopy for characterizing forest resources. Partners BOKU, KESLA, GREIFENBERG, and FLYBY will support CNR by providing laboratory measurements, spectra collection in the field, and calibration transfers between lab and portable equipment. The task will establish chemometric models to predict quality indicators from spectra and classify logs based on quality.
The goals of the project are to develop automated quality control systems for mountain forest production using multi-sensor models. Work Package 4 involves developing various quality indices using technologies like 3D scanning, near infrared spectroscopy, hyperspectral imaging, stress wave measurements, and analysis of cutting power to optimize log and biomass segregation. The resources planned and utilized, as well as any problems and solutions, are monitored for each method.
This work package aims to develop an automated grading system using multi-sensor data to improve log segregation and supply chain efficiency in mountain forests, including using near infrared spectroscopy, hyperspectral imaging, acoustic measurements, and cutting power analysis to estimate log quality and classify logs into quality classes.
SLOPE Final Conference - remote sensing systemsSLOPE Project
This document discusses Coastway's involvement in the SLOPE project, which tested the use of unmanned aerial vehicles (UAVs) and remote sensing to support forest inventory work. As part of Work Package 2, Coastway captured aerial imagery using fixed-wing drones across several test sites in Ireland. The drones tested different camera payloads, including RGB, multispectral, and near-infrared cameras. The goal was to create digital terrain models, digital elevation models, and digital canopy models, and to combine the UAV data with terrestrial laser scans and satellite imagery. The document describes the flight planning, site preparation, and data processing methods used to generate orthomosaics, point clouds, and models of the
SLOPE Final Conference - novel planning toolSLOPE Project
This document describes the SLOPE project, which aims to optimize forest production through the development of a 3D virtual planning system. The system allows users to simulate and plan cable yarding operations in forests. It incorporates aerial imagery, terrain data, and forest inventory information to create a digital 3D model. Users can utilize the model to assess harvest areas, simulate cable launches, design optimal cable line configurations, and export planning results. The system was tested by users and found to improve planning efficiency while reducing setup times and costs for cable yarding operations.
SLOPE Final Conference - electronic marking of treesSLOPE Project
This document discusses electronic marking of trees and timber using RFID tags for traceability purposes. It examines different RFID tag types and their suitability for long-term exposure to forest environments. Testing showed that UHF RFID tags attached using staples survived well on trees for over two years. Tag and reader positioning tests demonstrated the influence of moisture content, distance, angle and other factors on readability. RFID tags were also found to survive logging and transport processes with high reliability, making them suitable for traceability from standing trees to end products.
The document describes work done in Task 4.4 to optimize acoustic measurement protocols and develop prediction models for characterizing wood quality using stress wave tests, with the goals of determining two quality indices: an index (SW#1) relating stress wave velocity to overall log quality, and an index (SW#2) relating free vibration frequency to external log quality. Sensors were integrated with a forest harvester to measure stress waves and vibrations, and algorithms were developed to compute the quality indices from the acoustic data.
The document summarizes progress on Project SLOPE's Work Package 5, which involves developing a forest information system. It discusses the status of three tasks: 1) developing a database to support novel inventory data, which is 35% complete; 2) developing a platform for near real-time control of operations using an existing system called MHG Biomass Manager; and 3) planning online purchasing/invoicing of timber and biomass. It outlines actions taken and planned for each task to develop prototypes and integrate different modules by established deadlines.
The document outlines the tasks and timeline for the development of a forest information system from August 2014 to January 2016. It involves 6 tasks: 1) developing a database to support novel inventory data, 2) a platform for near real-time control of operations, 3) online purchasing and invoicing of timber and biomass, 4) short-term optimization of operational planning, 5) mid-long term optimization of strategic and tactical planning, and 6) communication and risk management. Key deliverables are due between months 8 to 28 with bi-monthly project meetings planned.
The document outlines the tasks and timeline for the development of a forest information system from August 2014 to January 2016. It involves 6 tasks: 1) developing a database to support novel inventory data, 2) a platform for near real-time control of operations, 3) online purchasing and invoicing of timber and biomass, 4) short-term optimization of operational planning, 5) mid-long term optimization of strategic and tactical planning, and 6) communication and risk management. Key deliverables are due between months 8 to 28 with bi-monthly project meetings to ensure the strict schedule is maintained through open communication and information sharing.
This document discusses optimizations and updates to ELK logging in 2021. It covers the importance of logging, motivations for changes to improve logging, benefits to developers, and an overview of the multi-cluster logging architecture. Key points include faster log searches by indexing logs from different environments separately, automatic log shipping setup, cleaner log formats, and enabling log correlation and conversion to metrics. The logging flow involves Filebeat selecting logs and metadata, Logstash parsing and aggregating logs, Elasticsearch storing logs in indices, and Kibana for visualization and analysis.
The presentation will give an overview of MIG past activities (MIWP14
-
16) as well as new or on
-
going
activities defined by the MIWP 2017
-
2020 endorsed by MIG in December 2016.
A webinar on the Dynamic CEP Specific Enabler (SE) from the FITMAN project. DyCEP enables very complex real-time processing of the shop-floor events and other events relevant for manufacturing process. This SE is based on the Esper4FastData Generic Enabler (GE) from FIWARE. Presented by Nenad Stojanovic from FZI.
This document provides an overview of Bosch's manufacturing solutions performance center project. The project aimed to connect key manufacturing processes at Bosch's Bamberg plant to provide improved data-based analysis and reduce analysis time from 15 minutes to under 90 seconds. The first phase connected three core processes comprising over 100 machines and generating millions of measurements daily. Challenges included preprocessing large amounts of raw data and correlating data across different files and time stamps. The second phase expanded the connectivity to additional processes. The performance center project improved transparency, reduced analysis time significantly, and enabled over 80 customer-implemented alerts.
Test Automation in Business and Enterprise Digital StrategiesWorksoft
The document discusses automation in digital strategy and test automation. It provides an overview of when and how to automate, as well as the business benefits of test automation. An example is given of Metso's test automation project using Worksoft Certify and SAP Solution Manager, which automated 135 end-to-end processes. Metso achieved cost savings and improved release schedules through increased testing frequency and reduced manual testing hours. Test automation was also beneficial for Metso's SAP HANA migration project.
The document summarizes the work done in Project SLOPE for system integration (WP6). It discusses the three main integration tasks: 1) integrating forest inventory and harvesting systems, 2) integrating forest management systems, and 3) validating the integrated system. Each integration task involved defining components, timelines, and test scenarios. Functional and non-functional requirements were tested across nine software versions, with over 90% of tests passed. The work package developed an integrated SLOPE system ready for pilot demonstrations and field testing.
Different Types of Process Involved in the Information Content Product ModelYatish Bathla
Representation of precise information is a challenging task in the information content of product model. Difficulty arises when huge number of analysis can be performed to an engineering object and there is possibility that same type of analysis operation can be performed repeatedly by different engineers as there is no specific methodology to distinguish and store the optimised information obtained from the analysis. Moreover, it is important to store the information obtained due to changes occured in an engineering object in the context of other engineering objects. In this paper, author proposed the
possible solution of above mentioned problems by introducing
the process plane in the information content of Product model.
Process plane defines different kind of process involved during
the analysis, contexual, optimisation, decision and representation level of an engineering object. In this context, three kind of process are proposed namely Analysis process, Effect process and Optimisation process. Following this, Mathematical representation of every process and their relationship are accomplished. Finally, (requirements, functional, logical, and physical)RFLP structure is considered as an engineering object to explain the above mentioned concepts in the information content. This plane can provide all the necessary and important information related with an engineering object such that engineers can calculate
and understand every aspect of the product in the virtual
environment
DSD-INT 2019 The Incident Management Forecasting System (IMFS) for England - ...Deltares
Presentation by Stefan Laeger, Environment Agency, at the Delft-FEWS User Days, during Delft Software Days - Edition 2019. Wednesday, 6 November 2019, Delft.
This document discusses custom reporting in Oracle's Financial Data Management Enterprise Edition (FDMEE). It provides examples of custom reports that were created to enhance standard reports, integrate with other systems, and align with business reports. The key steps outlined for creating a custom report include defining the SQL query, building the report template in BI Publisher Desktop, defining the report, and testing the report. One detailed example shows how a custom report was built to include account descriptions from both FDMEE and an ERP system by joining tables in the query and using synonyms.
MIPM PCo to Kafka Faurecia SAP co-innovation at Hannover Messe 2017Jose Gascon
This document discusses Faurecia's implementation of manufacturing intelligence and predictive maintenance using industrial IoT technologies. Key points:
1) Faurecia collects high-frequency and low-frequency data from machines via OPC and SAP PCo and transports it to a centralized data lake for storage and analytics.
2) The data lake supports manufacturing intelligence and predictive maintenance applications through real-time data visualization, analytics, and predictive modeling to optimize quality, productivity and reduce downtime.
3) Faurecia worked with SAP to develop an optimized architecture using Kafka as a single message oriented middleware to efficiently ingest large amounts of machine data and support both real-time and batch analytics use cases.
Conference: 23rd ICE/IEEE ITMC Conference
(ICE2017).
Madeira, Portugal – June 27-30, 2017
Title of the paper: An Approach to Production
Scheduling Optimization
A Case of an Oil Lubrication and Hydraulic Systems
Manufacturer
Authors: Artem Katasonov, Toni Lastusilta, Timo
Korvola, Leila Saari, Dan Bendas, Roberto Camp,
Wael M. Mohammed, Angelica Nieto Lee
if you would like to receive a reprint of the
original paper, please contact us.
No grip no glory also valid in agile projectsRichard Sweer
This document discusses metrics for monitoring agile projects. It recommends measuring functional size, productivity, quality and satisfaction. The document proposes an output-based model using functional size measurement and key performance indicators across quality, time to market, productivity and satisfaction. Contracts would set thresholds for defects per functional size and productivity rates.
Webinar on Environmental Footprint Data requirements in PEFCRMarisa Vieira
This slides deck includes the materials used in the webinar we hosted on data requirements to be included in a PEFCR document for the Environmental Footprint pilot phase. We gave this webinar on behalf of the Environmental Footprint team from the European Commission.
IMGeospatial: FME World Tour 2018 London: Integrating Council Systems and Ser...IMGeospatial
This document discusses using FME to integrate council systems and services. It provides case studies from Harrow including an environment app, highways web form, and parking web form. The environment app takes third party reports and passes them to council systems. The highways form processes case files from an SFTP, emails customers, and updates databases. The parking form accesses parking data, pre-populates web forms, and confirms submissions. FME acts as a "data translator" between different systems and languages to enable data sharing and integration across various council services.
The document summarizes work being done for Task 7.02 of the Project SLOPE, which involves preparing demonstrators to assess the technical and economic feasibility of the proposed SLOPE timber harvesting system compared to current methods. Activities being defined for the demonstrators include forest inventory, harvest planning, harvest operations, and logistics/storage/sale. Data will be collected from pilot studies on time consumption, productivity, costs, and other metrics to enable comparison between the innovative SLOPE methods and conventional approaches. Flow charts are provided as an example of how work cycles will be documented for analysis.
Easily & Painlessly Migrate from QTP/UFT to TestCompleteSmartBear
Changing testing tools can be daunting, but it doesn't have to be! Learn how to painlessly migrate from QTP/UFT to TestComplete with members of our team.
Estimation and measuring of software size within the atos gobal delivery plat...IWSM Mensura
The document discusses Atos' use of functional point analysis (FPA) for software estimation within its Global Delivery Platform (GDP). It describes how Atos uses FPA to estimate project size, calculate standard effort, and convert effort into cost. FPA is integrated into GDP's processes and phases to enable estimation of main build effort and full lifecycle effort. Historical FPA data collected within GDP is used to determine productivity ratios for estimation.
WP7 tested the SLOPE harvesting system across two pilot sites in Italy and Austria. At the Italian site in Sover, RFID-tagged trees were felled and extracted using cable yarding. Some technical issues were encountered but valuable lessons were learned. The system was improved and demonstrated again at the Austrian site in Annaberg, where the whole supply chain was tested and productivity was higher. Comprehensive data was collected across operations and sites to validate system performance and identify areas for further improvement.
This document summarizes the final meeting of the WP2 Slope Project in Brussels on February 1, 2017. It discusses the completion of deliverables, data collection from various partners, tree classification and detection methods, estimation of environmental parameters, combining data sets from different sources, logistics modeling, and analytics. The meeting highlights that the project has proven the concept of combining data from remote sensing, UAVs, and TLS to map up to 1,000 hectares in a single flight and provide useful data for both harvesting and long-term forest management - providing a solution beyond the state of the art.
1) Researchers evaluated RFID UHF tags for electronically marking standing trees by testing different tag models attached using screws, staples, or other methods. Tags attached using staples on the underside of bark performed best, with all tags still functioning after one year.
2) The study examined how factors like tag and reader position, moisture content, and dynamic reading influence RFID readability. Distance between tag and reader, moisture content, and angle had significant effects on readability, while tag position on or within the tree also impacted performance.
3) Preliminary results found that moisture content reduction to 40% improved readability by 20%, and tag readability decreased with increasing distance between tag and reader, but
Researchers tested the durability of RFID UHF tags during timber harvesting operations. They applied two types of tags - Wintag Flexytag and Smartrac Shortdipole - using single or double stapling. The tags were applied to trees and logs in three sites undergoing cable yarding and tractor transport. They found an overall 97% survival rate for tags, with 91% surviving in the site with the steepest terrain. Tag survival was slightly lower for shortdipole tags stapled singly compared to tags stapled doubly or Wintag tags. The researchers concluded RFID tags can successfully endure forest operations and provide traceability, though visibility may decrease over longer transport distances.
SLOPE Final Conference - sensors for timber grading in forestSLOPE Project
The document discusses a project that aims to develop an automated timber grading system using multiple sensors. The goals are to optimize log segregation, improve supply chain efficiency, and provide data to refine growth models. Sensors will assess quality indexes for properties like density, knots, and decay. Models will predict grade based on sensor data. A combined quality index will determine suitability for different end uses, integrating indexes from different sensors. The system will help match logs to their best uses and increase value recovered from forests.
This document discusses using near infrared (NIR) spectroscopy to characterize bio-materials. It outlines how NIR can be used to determine the chemical composition, physical properties, and anatomical features of materials like wood and paper. Specific applications mentioned include identifying wood species and origin, assessing virgin wood, characterizing particleboards, selecting biomass for conversion processes, and developing calibration models to predict the chemical composition of willows. The document highlights the benefits of NIR including its non-destructive nature, speed, and ability to determine multiple components simultaneously.
The document provides an overview of near infrared (NIR) spectroscopy and its applications for wood science and technology. It discusses the history and principles of NIR spectroscopy. Specific topics covered include the electromagnetic spectrum, molecular vibrations, instrumentation, sample presentation, calibration and validation strategies, and applications for measuring various wood characteristics. The document serves to introduce NIR technology and its use for analyzing wood.
SLOPE Final Conference - intelligent machinesSLOPE Project
This document discusses the design and development of sensor systems to be installed on a harvester head as part of the SLOPE project. It describes taking measurements of an existing harvester head using scanning and 3D modeling techniques. The document outlines plans to design new subsystems that include a scanning bar for cameras, sensors to measure cutting and debarking forces, systems for evaluating stress waves in wood using lasers and accelerometers, and an RFID tagging system. The goal is to integrate these new sensor systems and hardware into the harvester head to enable machine control and data collection for research.
The document discusses processor heads for logging machines and quality assessment of logs. Processor heads are used for felling, delimbing, and crosscutting trees. Sensors can measure diameter, length, and position. Marking and sorting by volume, length, and assortment allows for simplified logistics. Quality is assessed visually in the forest and with sensors in sawmills. A concept for an intelligent processor head includes sensors like NIR, hyperspectral imaging, RFID, and stress waves to interact with databases, measure loads and volumes, and provide full traceability and quality assessment of individual logs. RFID marking associates quality indexes to logs for full traceability of timber products.
This document provides an introduction to multivariate image analysis (MIA). It describes how MIA analyzes images with multiple variables at each pixel, such as hyperspectral images, and discusses tools for visualizing and extracting information from such images. TrendTool allows investigating multivariate data through simple univariate measurements, while Image Manager facilitates manipulating and analyzing image groups. Factorial techniques aid in enhancing signal-to-noise when many variables are present.
This document summarizes a hyperspectral camera and its applications for precision agriculture. It describes the camera as the world's smallest and lightest hyperspectral imaging sensor. The camera provides high resolution spectral and spatial data to help farmers monitor crop health and development, identify issues like diseases or nutrient deficiencies, optimize resource use, and forecast yields. It also helps foresters with tasks like species identification and inventory, detecting diseases or water stress, estimating timber volume, and mapping clear-cut or burned areas. The document outlines the camera's data acquisition and processing methodology, as well as examples of vegetation indices and applications for precision agriculture and forestry management.
EVK produces hyperspectral imaging cameras and systems for real-time sorting and process analysis applications in recycling, mining, food processing, and pharmaceuticals. Their HELIOS camera uses near-infrared spectroscopy to identify and classify materials and quantify chemical properties. EVK has implemented successful projects in applications like plastic and metal recycling, recovered paper sorting, potato grading, mineral analysis, and measuring active pharmaceutical ingredients in tablets. Hyperspectral imaging allows both removal of contaminants and quantitative chemical analysis for 100% inline process monitoring, combining laboratory precision with high-volume sampling.
This document summarizes research on using hyperspectral imaging to analyze wood. It discusses using hyperspectral cameras to capture spectral information from wood samples across multiple wavelengths. Researchers are aiming to identify chemical properties of wood, like lignin and cellulose content, and monitor changes over time, such as the development of mould on wood samples in the lab. The document also discusses challenges with applying this technique outdoors to analyze painted and weathered wood samples, as well as logs in forest environments, where varying moisture, light and surface roughness conditions exist. The goal is to select important bands of wavelengths that provide useful information and could enable hyperspectral cameras to be used for in-line monitoring applications.
How to Download & Install Module From the Odoo App Store in Odoo 17Celine George
Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
1. Project SLOPE
WP 5 – Forest information system
development
Technical Meeting
5 Jul 16
2. T5.2- Platform for near real time control of operations
Introduction
TASK 5.2
System for near real time control of operations (MHG) achieved by the
implementation of a series of different interfaces to access the FIS and allow a
number of different operations.
COMPLETED
Deliverable 5.2 - Submitted
Technical Meeting
5 Jul 16
3. T5.2- Platform for near real time control of operations
Harvesting process
Technical Meeting
5 Jul 16
4. T5.2- Platform for near real time control of operations
Introduction
MHG
3. PROCESSING HEAD SOFTWARE (CNR)
-Real timber products data
- Timber products summary
- Quality indexes
4. HARVESTING
MONITORING - TRE
- Field app
- Real time tree show
- Harvesting report
1. FIS (GRA)
-Display single trees and attributes
-Select points to set the cable line
-Display cutting simulation results
-Select single trees to be harvested
-Display harvesting status
GPS COM
2. – LOGISTIC AND SUPPLY CHAIN
(MHG/ITENE)
- Storage areas
- Transport tacking
Technical Meeting
5 Jul 16
5. T5.2- Platform for near real time control of operations
Planning information
Tree data recording. Inventory data
Technical Meeting
5 Jul 16
6. T5.2- Platform for near real time control of operations
Planning information
3D trees visualization Single tree selection for harvesting
Technical Meeting
5 Jul 16
7. Field Application (TM) -harvesting plan-:
•2D terrain image (UAV available offline)
• RFID tagging for trees to be cut
• Add additional trees from field at
the marking stage
•Trees marked with different colours: Selected (to cut), Tagged
(with RFID) and others.
T5.2- Platform for near real time control of operations
Planning information
Technical Meeting
5 Jul 16
8. T5.2- Platform for near real time control of operations
Planning information
Review Meeting
5/July/16
9. T5.2- Platform for near real time control of operations
Harvesting Monitoring (trees)
Cutting monitoring (TM app):
• Single tree view showing the position on the map of all
harvested trees.
• Change tree status
Issues and limitations:
-The trees cut have not been previously selected
- Solution: View and change status of trees not
selected for cutting
-The trees cut are not in the DB
- Solution: Add new trees to be cut
Review Meeting
5/July/16
10. T5.2- Platform for near real time control of operations
Harvesting Monitoring (trees)
Cable crane and
processor head
To be
completed in
task 6
Technical Meeting
5 Jul 16
11. T5.2- Platform for near real time control of operations
Real Time integration
Technical Meeting
5 Jul 16
12. T5.2- Platform for near real time control of operations
Real Time integration
Technical Meeting
5 Jul 16
13. T5.2- Platform for near real time control of operations
Tree data view
Technical Meeting
5 Jul 16
14. T5.2- Platform for near real time control of operations
Real Time integration
Technical Meeting
5 Jul 16
15. T5.2- Platform for near real time control of operations
Real Time integration
Create new timber storage
And orders
Technical Meeting
5 Jul 16
16. Project SLOPE
Technical Meeting
5 Jul 16
T.5.3 – Online purchasing/invoicing of
industrial timber and biomass
Trento, July 5th, 2016
17. Overview
Technical Meeting
5 Jul 16
• Status: 90% ready
• Length: 20 Months (From M9 to M28)
• Involved Partners
• Leader: MHG
• Participants: GRAPHITECH, CNR, TRE, ITENE
• Aim: Design, develop and implement an online
purchasing/invoicing platform for industrial timber and biomass
as a part of FIS
• Output: D.5.03 Platform for purchasing/invoicing
18. Objectives
• Specify and implement sales platform for Slope project
• Create communication platform where sellers and buyers
can connect
• Integrate market prices to the platform
• Implement bidding and group sales functionality
• Integrate forest data from the slope central database
• Implement management features for the forest data
• Deploy sales platform prototype to live server
Technical Meeting
5 Jul 16
19. Work done
• We made some research work about different sales
platforms
• First prototype of the sales platform completed
• Import forest data from the Slope FIS database and
manage it
• Create deals
• Group sales functionality
• Bidding system
• Communication between seller and buyer (via email)
• Sales platform is integrated to Slope user interface (T6.3)
Technical Meeting
5 Jul 16
26. Next steps – Final version
• Integrate Italian and Austrian wood market prices
• Implement invoicing feature
• Small fixes to the deal feature
• Automate data transfer from the slope fis web service
• User interface fixes
• Publish the deliverable prototype
Technical Meeting
5 Jul 16
27. Summary
• First version of prototype is ready
• MHG technology stack change affected to the timetable
• We start second iteration of development to finalize this deliverable
• Italian and Austrian prices need to be converted form that platform
supports
• Goal is to finalize this task on September 2016
Technical Meeting
5 Jul 16
28. Technical Meeting
5 Jul 16
Contact info
Veli-Matti Plosila veli-matti.plosila@mhgsystems.com
Seppo Huurinainen seppo.huurinainen@mhgsystems.com
Thank you for your attention
29. Forest Information System Development
Technical Meeting
4/July/16
T.5.4 – Short-term optimization: operational,
ongoing and contingency planning
Trento, July 5th, 2016
Kühmaier Martin, Pichler Gerhard, Kastner Maximilian
Institute of Forest Engineering
University of Natural Resources and Life Sciences, Vienna
30. Contents of the presentation
1. Overview
2. Introduction
3. Unexpected events during harvesting operations
4. Working safety risks in the timber supply chain
5. Variables, which are influencing or limiting harvesting operations
Technical Meeting
5/July/16
31. Overview
• Status: ongoing (70%)
• Length: 20 Months (From M8 to M27)
• Involved Partners
• Leader: BOKU
• Participants: CNR, ITENE, MHG, TRE, GT
• Aim: - Daily planning for timber harvesting
- Optimization in the supply chain management
- Risk management during emergency
- Guidelines for short term planning optimization
• Output: D.5.04 (M27)
Short-term optimization module of the FIS
Technical Meeting
5/July/16
32. Introduction
• The aim of task 5.4 was to develop a tool for short-term optimization for
operational, ongoing and contingency planning
The FIS module should include following parts:
• Optimization of a short-term harvest schedule (MHG)
• Daily planning for harvesting operations (BOKU)
• Logistics Optimization concerning the product flow (ITENE, MHG)
• Support for ongoing management activities(TRE)
• Modelling of contingency plans including risk management (BOKU, MHG)
Development of guidelines and indications for short-term optimization for the
daily planning (CNR, BOKU)
Technical Meeting
5/July/16
33. Technical Meeting
5/July/16
Flow charts of harvesting operations
• Evaluation for the current system
and the SLOPE system
• The work flow is displayed in flow
charts
34. Technical Meeting
5/July/16
Unexpected events during harvesting
operations
• The influencing events were
displayed in flow charts
• A list of suggestions for avoidance
of these events
35. Technical Meeting
5/July/16
Examples of unexpected events
Unexpected events Avoidance
1 Cable yarder must wait until tree
is felled
Better coordination of workflows,
training, work experience, shift of
workforce
2 Forest worker must wait for
carriage
Better coordination of workflows,
training, work experience
3 Processor operator must wait for
carriage
Better coordination of workflows,
training, work experience
4 New software doesn’t work (RFID
tags, RFID reader, intelligent
carriage, intelligent harvester
head, intelligent truck…)
Checking software
5 traceability of the RFID tags after
logging is not possible
Subsequent marking with new tags
6 Lost RFID tags during harvesting
operations
Subsequent marking with new tags
36. Technical Meeting
5/July/16
Working safety risks in the timber
supply chain
Manual felling
Falling objects
Log extraction
Machinery hitting
Log landing
Chain shot
Loading, transport and unloading
Log moving in risk zone
Maintenance of access roads
Accessability
General hazard
Weather conditions
Source: Safe Work Australia, 2014 Stampfer, 2015
37. Technical Meeting
5/July/16
Variables, which are influencing or
limiting harvesting operations
• Identification of important variables
• Description of variables
• Effect of increase or decrease
• Examples of influence for productivity
models
38. Technical Meeting
5/July/16
Optimization of logistics
• Optimization of transport distance
• Consideration of truck category
• It is possible to add customers,
storages, harvesting plots
• Possibility of scenario analysis
39. Technical Meeting
5/July/16
Outlook
• Implementation into SLOPE FIS
• Decision which components to be implemented
• Contingency plans
• Productivity models
• Optimization model
• Cooperation/Solutions from sister project FOCUS
• Interface between Woodlandmanager and IPTIM
• Finalization of the deliverable D5.04: September 2016
41. Project SLOPE
T.5.5 – Mid-long term optimization, strategic
and tactical planning
Trento, July 5th, 2016
Huurinainen Seppo, Rasinmäki Jussi, Plosila Veli-Matti
Technical Meeting
5/July/16
42. Contents of the presentation
1. Overview
2. Introduction
3. Iptim software as a Tool
4. Tasks to be completed
Technical Meeting
5/July/16
43. Overview
• Status: 65%
• Length: 20 Months (From M8 to M27)
• Involved Partners
• Leader: MHG
• Participants: GRAPHITECH, CNR, TRE, ITENE
Aim: In the task a module will be developed for the FIS that will
support the planning task of optimally allocating harvests to the
forest area in 1-10 years timeframe to meet the targets for
harvested volume
Output: D.5.05 (M28)
- Mid/Long-term optimization module of the FIS
Delay due to Simosol has been focusing on FOCUS project
Technical Meeting
5/July/16
44. Introduction 1/2
This FIS module should include following parts:
• produce harvesting and sales plans that are realistic and achievable. This is done
by supporting easy updating of growth models to track developments in the research
in the area, and by simulating at stand level different alternatives for the type,
intensity and timing of the management actions that are all viable options for the
management of the stand considering the operational constraint in the mountain
forests (BOKU).
• produce harvesting and sales plans that are optimal within the parameters set by
the previous item. Goals can be set to minimize harvesting cost or maximize the net
present value of the cash flow generated over the planning horizon; the optimization
process will include spatial and temporal clustering functionality, in order to
produce optimal starting point for short-term operational planning; i.e. in order to
make utilization of harvesting machinery and workforce as efficient as possible (Task
5.4) these aspects are already taken into account when producing long-term harvest
scheduling plans (TRE, CNR).
Technical Meeting
5/July/16
45. Introduction 1/2
This FIS module should include following parts:
• support for monitoring the quality of management plans, based on the accumulated
historical time series, by maintaining a data repository over time of the information
gathered with sensors during the inventory and harvest operations (GRAPHITECH, FLY,
TRE)
- IPTIM
• support the adaptation of the plans, and re-planning, based on the accumulated
supply chain information in the FIS; i.e. for the long-term plans a continuous and
adaptive planning approach will be supported (BOKU, CNR).
- IPTIM
Technical Meeting
5/July/16
46. IPTIM as aTOOL
Further develop and implement procedures/algorithms
developed in the sister project, FOCUS
(biomass and industrial timber supply chains – Finland &
Belgium pilots)
www.iptim.com
Technical Meeting
5/July/16
47. Modeling – growth & yield
‣ A set of model systems for both yield prediction at stand level
and growth predictions at tree level available
‣ Inventory data used to calibrate the model systems
Technical Meeting
5/July/16
48. Produce harvesting and sales plans that are realistic and
achievable (BOKU)
• Topic: produce harvesting and sales plans that are
realistic and achievable. This is done by supporting
easy updating of growth models to track
developments in the research in the area, and by
simulating at stand level different alternatives for the
type, intensity and timing of the management actions
that are all viable options for the management of the
stand considering the operational constraint in the
mountain forests.
• IPTIM; group of mathematic equations
Technical Meeting
5/July/16
49. Produce harvesting and sales plans that are optimal within
parameters (TRE, CNR)
Topic: produce harvesting and sales plans that are optimal within the
parameters set by the previous item. Goals can be set to minimize
harvesting cost or maximize the net present value of the cash flow
generated over the planning horizon; the optimization process will
include spatial and temporal clustering functionality, in order to
produce optimal starting point for short-term operational planning;
i.e. in order to make utilization of harvesting machinery and
workforce as efficient as possible (Task 5.4) these aspects are already
taken into account when producing long-term harvest scheduling
plans.
- Average prices to be used (Italy, Bolzon etc.)
Technical Meeting
5/July/16
50. Support the adaptation of the plans, and re-planning
(BOKU, CNR)
Topic: support the adaptation of the plans, and re-planning, based
on the accumulated supply chain information in the FIS; i.e. for the
long-term plans a continuous and adaptive planning approach will
be supported
- Woodlandmanager + IPTIM
- Mobile app for real-time storage management developed and
integrated with the FIS
Technical Meeting
5/July/16
51. Data Integration
JSON Data
SLOPE FIS
Web Service
SLOPE FIS Database
IPTIM
Woodlandmanager
• Extend SLOPE FIS Web Service when needed
Interface to be completed in
September resulting in commercial
add-value services for forest owners
using WM in Finland
Technical Meeting
5/July/16
52. Results
• Models for mid-long-term harvesting planning (demo site)
• Process models
• Indicators for mid-long term planning
• Profits
• Costs
• Guidelines to optimize planning
• Contingency plans
Technical Meeting
5/July/16