Jeffrey Villaveces
•Download as PPT, PDF•
0 likes•218 views
The document discusses several topics related to improving humanitarian response efforts including: 1. Developing a Risk and Probability Humanitarian Situation Index to better measure vulnerability and threats from complex emergencies and natural disasters. 2. Utilizing online tools and teams to better organize and distribute work 24/7 by connecting online communities with UN groups. 3. Implementing new asynchronous gap analysis and project management tools to integrate information management processes from early warning to monitoring and evaluation. 4. Establishing a Humanitarian Studies Institute to improve training, research, and diffusion of standards to strategically refocus efforts on humanitarian priorities.
Report
Share
Report
Share
![Risk and Probability ,[object Object],[object Object],[object Object],[object Object]](https://image.slidesharecdn.com/jeffreyvillaveces-110818025548-phpapp01/85/Jeffrey-Villaveces-1-320.jpg)
![On-line work management ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Geographic Information Systems
GIS (Geographic Information Systems) uses computer software and data to manage, interpret, visualize, understand, and display geographic information for a variety of purposes. GIS can use 2D or 3D maps, with 2D primarily used for transparency effects and 3D used for aesthetic purposes and realism. GIS is used by government agencies like police departments and MoDot to track crime, manage transportation, and utilities companies to map infrastructure. It also has applications in weather prediction, education, and more.
Ideas for using GIS in Geography
GIS is a tool that can integrate spatial and other types of data using base maps and layers associated with databases. It allows users to measure area and point data, and distances using vector data. Classroom applications of GIS are engaging for students as they can manipulate data, but teachers need time to learn the programs and access can sometimes be an issue. Free and simple online GIS programs like Google Earth do not require downloads and allow students to explore data beyond just maps of their local area. Effective integration of GIS into the classroom curriculum should be considered.
Christopher_J_Busic_Engineering_Resume_2019-2020
Christopher Busic is an aerospace engineering student at the University of Tennessee with a 3.98 GPA. He has internship experience developing machine learning models at Dynetics and research experience in guidance and control systems. Busic holds leadership roles in his university's AIAA chapter where he plans industry events connecting students to aerospace companies like NASA and GE Aviation.
Arab Spatial for nexus mapping modeling the water-food-energy nexus in the a...
Arab Spatial for nexus mapping modeling the water-food-energy nexus in the a...International Food Policy Research Institute (IFPRI)
This document summarizes a mapping and charting online tool that models the water-food-energy nexus in the Arab world, using Egypt as a case study. The tool processes and maps tabular and spatial data from multiple sources related to agriculture, food and nutrition security. It allows for time series visualization and multi-layer mapping of indicators like wheat yields and access to improved water sources. The tool is intended to aid evidence-based policymaking and track country progress on issues like the Sustainable Development Goals.Bicycle Risk Estimation - Short Report
Last week I gave another PhD progress report at ZGIS' PhD seminar. I showed a couple of preliminary results of a study I'm planning to publish in spring 2016.
Suggestions, comments and questions are highly welcome at this stage.
INTRODUCTION TO GIS
This document provides an introduction to Geographic Information Systems (GIS) and Remote Sensing. It discusses what GIS and remote sensing are, their applications in civil engineering like transportation planning, terrain mapping, watershed analysis and environmental impact studies. It also outlines data sources for GIS like Natural Earth and Global Map. Finally, it discusses uses of GIS/remote sensing in business for industries like dairy, pest control, banking and electricity distribution.
CAST a software for data analysis in space and time
CAST is a geospatial software tool for crime data analysis that offers capabilities not found in other programs. It has been used successfully in top universities and is praised by the RAND think tank for being an impressive and valuable addition to a crime analyst's toolkit. CAST has cross-platform compatibility, fewer dependencies than other software, an integrated plugin framework, and supports code reuse and easy GUI customization. It enables various types of exploratory data analysis maps for crime incidents.
Thrive2055_UTCGIS_2015ii
The document outlines a meeting between UTC GIS and THRIVE 2055 to discuss potential partnerships, including UTC's GIS programs and capabilities, current support provided to THRIVE initiatives, and opportunities for future collaboration in areas like integrating scenarios, planning tools, and an information center. The vision discussed creating a regional server network, simulation center, and innovative R&D to support regional planning, applied research, and fulfill UTC's mission as an engaged metropolitan university.
Recommended
Geographic Information Systems
GIS (Geographic Information Systems) uses computer software and data to manage, interpret, visualize, understand, and display geographic information for a variety of purposes. GIS can use 2D or 3D maps, with 2D primarily used for transparency effects and 3D used for aesthetic purposes and realism. GIS is used by government agencies like police departments and MoDot to track crime, manage transportation, and utilities companies to map infrastructure. It also has applications in weather prediction, education, and more.
Ideas for using GIS in Geography
GIS is a tool that can integrate spatial and other types of data using base maps and layers associated with databases. It allows users to measure area and point data, and distances using vector data. Classroom applications of GIS are engaging for students as they can manipulate data, but teachers need time to learn the programs and access can sometimes be an issue. Free and simple online GIS programs like Google Earth do not require downloads and allow students to explore data beyond just maps of their local area. Effective integration of GIS into the classroom curriculum should be considered.
Christopher_J_Busic_Engineering_Resume_2019-2020
Christopher Busic is an aerospace engineering student at the University of Tennessee with a 3.98 GPA. He has internship experience developing machine learning models at Dynetics and research experience in guidance and control systems. Busic holds leadership roles in his university's AIAA chapter where he plans industry events connecting students to aerospace companies like NASA and GE Aviation.
Arab Spatial for nexus mapping modeling the water-food-energy nexus in the a...
Arab Spatial for nexus mapping modeling the water-food-energy nexus in the a...International Food Policy Research Institute (IFPRI)
This document summarizes a mapping and charting online tool that models the water-food-energy nexus in the Arab world, using Egypt as a case study. The tool processes and maps tabular and spatial data from multiple sources related to agriculture, food and nutrition security. It allows for time series visualization and multi-layer mapping of indicators like wheat yields and access to improved water sources. The tool is intended to aid evidence-based policymaking and track country progress on issues like the Sustainable Development Goals.Bicycle Risk Estimation - Short Report
Last week I gave another PhD progress report at ZGIS' PhD seminar. I showed a couple of preliminary results of a study I'm planning to publish in spring 2016.
Suggestions, comments and questions are highly welcome at this stage.
INTRODUCTION TO GIS
This document provides an introduction to Geographic Information Systems (GIS) and Remote Sensing. It discusses what GIS and remote sensing are, their applications in civil engineering like transportation planning, terrain mapping, watershed analysis and environmental impact studies. It also outlines data sources for GIS like Natural Earth and Global Map. Finally, it discusses uses of GIS/remote sensing in business for industries like dairy, pest control, banking and electricity distribution.
CAST a software for data analysis in space and time
CAST is a geospatial software tool for crime data analysis that offers capabilities not found in other programs. It has been used successfully in top universities and is praised by the RAND think tank for being an impressive and valuable addition to a crime analyst's toolkit. CAST has cross-platform compatibility, fewer dependencies than other software, an integrated plugin framework, and supports code reuse and easy GUI customization. It enables various types of exploratory data analysis maps for crime incidents.
Thrive2055_UTCGIS_2015ii
The document outlines a meeting between UTC GIS and THRIVE 2055 to discuss potential partnerships, including UTC's GIS programs and capabilities, current support provided to THRIVE initiatives, and opportunities for future collaboration in areas like integrating scenarios, planning tools, and an information center. The vision discussed creating a regional server network, simulation center, and innovative R&D to support regional planning, applied research, and fulfill UTC's mission as an engaged metropolitan university.
DISCOVERY DAY 2017: MAKE IT HAPPEN!
The document discusses new technologies created by the Open Foris Initiative to improve land tenure governance, including Google Earth Engine, Collect Earth, and Collect Mobile. Collect Earth is an open-source tool for augmented visual interpretation that allows users to view very high resolution satellite imagery and collect and analyze field data using mobile devices. It integrates with QGIS and allows data to be exported to CSV format. The Open Foris Initiative aims to develop open-source software that relies on existing open platforms like Saiku and to provide training and assessment on the tools.
Machine Learning for Better Maps
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on “Quantifying Error in Training Data for Mapping and Monitoring the Earth System” was held on January 8-9, 2019 at Clark University, with support from Omidyar Network’s Property Rights Initiative, now PlaceFund.
Research in the Age of the Context Machine
This document discusses research challenges in context-aware systems as context becomes more integrated into technology. It outlines the evolution from early location-based systems to modern context-aware systems that consider location as well as other contextual factors like weather, points of interest, connected devices, social relationships, schedules and interests. Three key research challenges are presented: 1) effective representation and integration of different types of context data, 2) determining what context is relevant for a given task and how this may differ between users, and 3) ensuring user privacy and control over what context data is shared while still enabling useful services.
Workshop: Quantifying Error in Training Data for Mapping and Monitoring the E...
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on “Quantifying Error in Training Data for Mapping and Monitoring the Earth System” was held on January 8-9, 2019 at Clark University, with support from Omidyar Network’s Property Rights Initiative, now PlaceFund.
Blue Raster Natureserve Synergy Workshop Presentation
From Data to Visualization - Promoting Synergy in the Innovative Use of Environmental Data Workshop
Exploring the Usage of Municipal Parking in Wolfville's Downtown
The document summarizes a term research project on parking in Wolfville, Nova Scotia. It collected parking occupancy data on different days and times through counts and an online survey. This data was analyzed and conveyed through an ArcGIS Online parking app to help identify deficiencies and gather public input. Future efforts could include additional seasonal data collection and improvements to the digital product.
GeoSpatial Aided Applications: farmer usage and administration data control, ...
Fulvio Giorgi and Paolo Martini presentation on the geospatial aided applications at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
Ta2.18 olinto ramos.un world data forum ta2.18_final2
The document discusses Brazil's trilateral South-South cooperation initiative to establish reference centers in Africa for census data collection using electronic methods. The initiative aims to strengthen capacities of African statistical institutions for conducting population censuses from 2017-2022. Brazil, through its experience with a digital 2010 census, will partner with UNFPA and statistics offices in Senegal, Cape Verde, and South Africa to develop training modules and establish these countries as reference centers to support other African countries' transition to electronic census data collection. The centers will help more countries on the continent strengthen statistics and data for public policy using Brazil's innovative approaches.
Overview of geographic information systems (gis)
GIS software is designed to capture, manage, analyze, and display all forms of geographically referenced information.
D8 Open Data for Agriculture Presentation by Perri Al-Riffai, IFPRI
D8 Open Data for Agriculture Presentation by Perri Al-Riffai, IFPRIInternational Food Policy Research Institute (IFPRI)
Presentation by Perri Al-Riffai, IFPRI at the D8 Open Data for Agriculture Side event at IFPRI on May 1, 2013.7 satida mistelbauer
The document describes the SATIDA project which aims to (1) develop a platform to analyze satellite data and link it to socioeconomic assessments to monitor drought risk, (2) test this with Doctors Without Borders in Central African Republic and Ethiopia, and (3) create a mobile app for field data collection. It outlines SATIDA's objectives, method of combining precipitation, soil moisture, temperature and vegetation indices to calculate an enhanced drought index, and demonstrates the platform and app for analyzing current and forecasted drought conditions and impacts.
Flood Level Estimation from Social Media Images
Paper: http://ceur-ws.org/Vol-2670/MediaEval_19_paper_59.pdf
Youtube: https://www.youtube.com/watch?v=jtC6JHMylLQ
Julia Strebl, Djordje Slijepcevic, Armin Kirchknopf, Muntaha Sakeena, Markus Seidl and Matthias Zeppelzauer, Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content Estimation of Flood Level from Social Media Images. Proc. of MediaEval 2019, 27-29 October 2019, Sophia Antipolis, France.
Abstract: In this paper, we present an approach for the visual estimation of flood levels in images from news articles and social media. The water level is measured by detecting people standing in water and using the human body as a reference. We propose the combination of a ResNet-based water detector and pose estimation to solve the
task. First results are promising and show that our approach is clearly performing above baseline.
Presented by Muntaha Sakeena
Diplo E-Participation Day, Open Data, Tim Davies, University of Southampton
This document introduces open data and its potential role in governance and civic participation. It defines open data as data that is accessible on the web, licensed to allow reuse, and machine-readable. Examples are given of open data related to global targets, aid pledges, and development goals. The document argues that open data can support transparency, innovation, engagement, and collaboration. However, it notes that simply releasing data may not be enough to drive participation and that more work is needed to understand how open data can truly function as a platform for civic involvement.
Technical guidance on NAPs: Best available methods and tools for assessing cr...
Presented by: Katia Marzall
3.1 Technical guidance on NAPs
The session will take the participants through the technical guidance for NAPs, including: NAP guidelines, guiding principles for adaptation under the Convention, and subsequent products developed by the LEG such as the sample NAP process. It will further look detailed aspects on undertaking assessments by going through best available methods and tools for assessing for assessing crop production as an example. Countries will further provide practical experiences in applying the guidance in the formulation of their NAPs.
LTC, Jack R. Widmeyer Transportation Research Conference, 11/04/2011, Garth H...
Caltrans carries out its mission of improving mobility across California through six primary programs including highways, mass transportation, and aeronautics. It manages over 50,000 miles of highways and freeways in the state, provides inter-city rail services, permits 400 public airports, and works with local agencies. The Caltrans Strategic Research Plan from 2008/2009 identified 38 strategic research questions organized under safety, mobility, goods movement, climate change, and infrastructure.
Exploratory Analysis of Massive Movement Data (RGS-IBG GIScience Research Gro...
The potential of Big Data for understanding human mobility patterns and other complex phenomena in transportation and movement research is significant. Many contemporary Big Data sources have clear spatiotemporal dimensions. However, Big Spatiotemporal Data is usually messy and presents numerous challenges to researchers and analysts trying to extract information and knowledge. Exploratory data analysis tools for massive movement data are necessary to gain an understanding of our data, its biases and messiness and how they might affect our analyses. This talk presents methods for the exploration of movement patterns in massive quasi-continuous GPS tracking datasets, with examples focusing on international maritime vessel movements.
User friendly and cost-effective approach to identifying agroforestry: exampl...
User friendly and cost-effective approach to identifying agroforestry: exampl...CCAFS | CGIAR Research Program on Climate Change, Agriculture and Food Security
This presentation was given on 25 June 2019 by Karis Tenneson (Spatial Informatics Group, LLC, SIG) for the CCAFS and USAID webinar Making trees count: MRV for agroforestry under UNFCCC. See the introductory presentation for more detail: Agroforestry for livelihoods and climate.Movement Data in GIS - Geobeer Lightning Talk, 2021-03-08
This talk provides an introduction into the challenges of movement data analysis in the context of geographic data science.
Deriving near real time geospatial footprints of crisis events from social me...
Presentation of an overview of my PhD research at "Beyond research - Patways to impact" RMIT Conference, Melbourne, 21,22,23 February 2017
Thomas Hise Resume2
Thomas Hise has a Bachelor of Science in Electrical Engineering from Wright State University and relevant coursework in digital design, circuits, programming, and physics. He has technical skills in MATLAB, VHDL, Verilog, C/C++, Microsoft Office, and circuit design software. Hise has over 8 years of experience maintaining and troubleshooting aircraft electrical systems for the US Air Force, including power systems, lighting, controls and sensors. He also has customer service experience operating an inbound call center for a waste disposal company, where he assisted over 100 customers per day. Hise holds an active Secret Security Clearance and received two Air Force Achievement Awards for his leadership during maintenance inspections.
Hendry Wibisono
This document is Hendry Wibisono's resume and portfolio. It summarizes his education, work experience, skills, and participation experience. It then showcases 9 portfolio projects that demonstrate his skills in interactive Flash design, websites, mobile apps, motion graphics, and more. The portfolios showcase projects for campaigns, museums, and other clients. Hendry aims to constantly challenge himself creatively through new design challenges.
More Related Content
What's hot
DISCOVERY DAY 2017: MAKE IT HAPPEN!
The document discusses new technologies created by the Open Foris Initiative to improve land tenure governance, including Google Earth Engine, Collect Earth, and Collect Mobile. Collect Earth is an open-source tool for augmented visual interpretation that allows users to view very high resolution satellite imagery and collect and analyze field data using mobile devices. It integrates with QGIS and allows data to be exported to CSV format. The Open Foris Initiative aims to develop open-source software that relies on existing open platforms like Saiku and to provide training and assessment on the tools.
Machine Learning for Better Maps
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on “Quantifying Error in Training Data for Mapping and Monitoring the Earth System” was held on January 8-9, 2019 at Clark University, with support from Omidyar Network’s Property Rights Initiative, now PlaceFund.
Research in the Age of the Context Machine
This document discusses research challenges in context-aware systems as context becomes more integrated into technology. It outlines the evolution from early location-based systems to modern context-aware systems that consider location as well as other contextual factors like weather, points of interest, connected devices, social relationships, schedules and interests. Three key research challenges are presented: 1) effective representation and integration of different types of context data, 2) determining what context is relevant for a given task and how this may differ between users, and 3) ensuring user privacy and control over what context data is shared while still enabling useful services.
Workshop: Quantifying Error in Training Data for Mapping and Monitoring the E...
Quantifying Error in Training Data for Mapping and Monitoring the Earth System - A Workshop on “Quantifying Error in Training Data for Mapping and Monitoring the Earth System” was held on January 8-9, 2019 at Clark University, with support from Omidyar Network’s Property Rights Initiative, now PlaceFund.
Blue Raster Natureserve Synergy Workshop Presentation
From Data to Visualization - Promoting Synergy in the Innovative Use of Environmental Data Workshop
Exploring the Usage of Municipal Parking in Wolfville's Downtown
The document summarizes a term research project on parking in Wolfville, Nova Scotia. It collected parking occupancy data on different days and times through counts and an online survey. This data was analyzed and conveyed through an ArcGIS Online parking app to help identify deficiencies and gather public input. Future efforts could include additional seasonal data collection and improvements to the digital product.
GeoSpatial Aided Applications: farmer usage and administration data control, ...
Fulvio Giorgi and Paolo Martini presentation on the geospatial aided applications at the BigDataGrapes workshop "Big Data for the Grapevine Industries" in Pisa, Italy (8/3/2019)
Ta2.18 olinto ramos.un world data forum ta2.18_final2
The document discusses Brazil's trilateral South-South cooperation initiative to establish reference centers in Africa for census data collection using electronic methods. The initiative aims to strengthen capacities of African statistical institutions for conducting population censuses from 2017-2022. Brazil, through its experience with a digital 2010 census, will partner with UNFPA and statistics offices in Senegal, Cape Verde, and South Africa to develop training modules and establish these countries as reference centers to support other African countries' transition to electronic census data collection. The centers will help more countries on the continent strengthen statistics and data for public policy using Brazil's innovative approaches.
Overview of geographic information systems (gis)
GIS software is designed to capture, manage, analyze, and display all forms of geographically referenced information.
D8 Open Data for Agriculture Presentation by Perri Al-Riffai, IFPRI
D8 Open Data for Agriculture Presentation by Perri Al-Riffai, IFPRIInternational Food Policy Research Institute (IFPRI)
Presentation by Perri Al-Riffai, IFPRI at the D8 Open Data for Agriculture Side event at IFPRI on May 1, 2013.7 satida mistelbauer
The document describes the SATIDA project which aims to (1) develop a platform to analyze satellite data and link it to socioeconomic assessments to monitor drought risk, (2) test this with Doctors Without Borders in Central African Republic and Ethiopia, and (3) create a mobile app for field data collection. It outlines SATIDA's objectives, method of combining precipitation, soil moisture, temperature and vegetation indices to calculate an enhanced drought index, and demonstrates the platform and app for analyzing current and forecasted drought conditions and impacts.
Flood Level Estimation from Social Media Images
Paper: http://ceur-ws.org/Vol-2670/MediaEval_19_paper_59.pdf
Youtube: https://www.youtube.com/watch?v=jtC6JHMylLQ
Julia Strebl, Djordje Slijepcevic, Armin Kirchknopf, Muntaha Sakeena, Markus Seidl and Matthias Zeppelzauer, Transfer Learning and Mixed Input Deep Neural Networks for Estimating Flood Severity in News Content Estimation of Flood Level from Social Media Images. Proc. of MediaEval 2019, 27-29 October 2019, Sophia Antipolis, France.
Abstract: In this paper, we present an approach for the visual estimation of flood levels in images from news articles and social media. The water level is measured by detecting people standing in water and using the human body as a reference. We propose the combination of a ResNet-based water detector and pose estimation to solve the
task. First results are promising and show that our approach is clearly performing above baseline.
Presented by Muntaha Sakeena
Diplo E-Participation Day, Open Data, Tim Davies, University of Southampton
This document introduces open data and its potential role in governance and civic participation. It defines open data as data that is accessible on the web, licensed to allow reuse, and machine-readable. Examples are given of open data related to global targets, aid pledges, and development goals. The document argues that open data can support transparency, innovation, engagement, and collaboration. However, it notes that simply releasing data may not be enough to drive participation and that more work is needed to understand how open data can truly function as a platform for civic involvement.
Technical guidance on NAPs: Best available methods and tools for assessing cr...
Presented by: Katia Marzall
3.1 Technical guidance on NAPs
The session will take the participants through the technical guidance for NAPs, including: NAP guidelines, guiding principles for adaptation under the Convention, and subsequent products developed by the LEG such as the sample NAP process. It will further look detailed aspects on undertaking assessments by going through best available methods and tools for assessing for assessing crop production as an example. Countries will further provide practical experiences in applying the guidance in the formulation of their NAPs.
LTC, Jack R. Widmeyer Transportation Research Conference, 11/04/2011, Garth H...
Caltrans carries out its mission of improving mobility across California through six primary programs including highways, mass transportation, and aeronautics. It manages over 50,000 miles of highways and freeways in the state, provides inter-city rail services, permits 400 public airports, and works with local agencies. The Caltrans Strategic Research Plan from 2008/2009 identified 38 strategic research questions organized under safety, mobility, goods movement, climate change, and infrastructure.
Exploratory Analysis of Massive Movement Data (RGS-IBG GIScience Research Gro...
The potential of Big Data for understanding human mobility patterns and other complex phenomena in transportation and movement research is significant. Many contemporary Big Data sources have clear spatiotemporal dimensions. However, Big Spatiotemporal Data is usually messy and presents numerous challenges to researchers and analysts trying to extract information and knowledge. Exploratory data analysis tools for massive movement data are necessary to gain an understanding of our data, its biases and messiness and how they might affect our analyses. This talk presents methods for the exploration of movement patterns in massive quasi-continuous GPS tracking datasets, with examples focusing on international maritime vessel movements.
User friendly and cost-effective approach to identifying agroforestry: exampl...
User friendly and cost-effective approach to identifying agroforestry: exampl...CCAFS | CGIAR Research Program on Climate Change, Agriculture and Food Security
This presentation was given on 25 June 2019 by Karis Tenneson (Spatial Informatics Group, LLC, SIG) for the CCAFS and USAID webinar Making trees count: MRV for agroforestry under UNFCCC. See the introductory presentation for more detail: Agroforestry for livelihoods and climate.Movement Data in GIS - Geobeer Lightning Talk, 2021-03-08
This talk provides an introduction into the challenges of movement data analysis in the context of geographic data science.
Deriving near real time geospatial footprints of crisis events from social me...
Presentation of an overview of my PhD research at "Beyond research - Patways to impact" RMIT Conference, Melbourne, 21,22,23 February 2017
Thomas Hise Resume2
Thomas Hise has a Bachelor of Science in Electrical Engineering from Wright State University and relevant coursework in digital design, circuits, programming, and physics. He has technical skills in MATLAB, VHDL, Verilog, C/C++, Microsoft Office, and circuit design software. Hise has over 8 years of experience maintaining and troubleshooting aircraft electrical systems for the US Air Force, including power systems, lighting, controls and sensors. He also has customer service experience operating an inbound call center for a waste disposal company, where he assisted over 100 customers per day. Hise holds an active Secret Security Clearance and received two Air Force Achievement Awards for his leadership during maintenance inspections.
What's hot (20)
Workshop: Quantifying Error in Training Data for Mapping and Monitoring the E...
Workshop: Quantifying Error in Training Data for Mapping and Monitoring the E...
Blue Raster Natureserve Synergy Workshop Presentation
Blue Raster Natureserve Synergy Workshop Presentation
Exploring the Usage of Municipal Parking in Wolfville's Downtown
Exploring the Usage of Municipal Parking in Wolfville's Downtown
GeoSpatial Aided Applications: farmer usage and administration data control, ...
GeoSpatial Aided Applications: farmer usage and administration data control, ...
Ta2.18 olinto ramos.un world data forum ta2.18_final2
Ta2.18 olinto ramos.un world data forum ta2.18_final2
D8 Open Data for Agriculture Presentation by Perri Al-Riffai, IFPRI
D8 Open Data for Agriculture Presentation by Perri Al-Riffai, IFPRI
Diplo E-Participation Day, Open Data, Tim Davies, University of Southampton
Diplo E-Participation Day, Open Data, Tim Davies, University of Southampton
Technical guidance on NAPs: Best available methods and tools for assessing cr...
Technical guidance on NAPs: Best available methods and tools for assessing cr...
LTC, Jack R. Widmeyer Transportation Research Conference, 11/04/2011, Garth H...
LTC, Jack R. Widmeyer Transportation Research Conference, 11/04/2011, Garth H...
Exploratory Analysis of Massive Movement Data (RGS-IBG GIScience Research Gro...
Exploratory Analysis of Massive Movement Data (RGS-IBG GIScience Research Gro...
User friendly and cost-effective approach to identifying agroforestry: exampl...
User friendly and cost-effective approach to identifying agroforestry: exampl...
Movement Data in GIS - Geobeer Lightning Talk, 2021-03-08
Movement Data in GIS - Geobeer Lightning Talk, 2021-03-08
Deriving near real time geospatial footprints of crisis events from social me...
Deriving near real time geospatial footprints of crisis events from social me...
Viewers also liked
Hendry Wibisono
This document is Hendry Wibisono's resume and portfolio. It summarizes his education, work experience, skills, and participation experience. It then showcases 9 portfolio projects that demonstrate his skills in interactive Flash design, websites, mobile apps, motion graphics, and more. The portfolios showcase projects for campaigns, museums, and other clients. Hendry aims to constantly challenge himself creatively through new design challenges.
Living Well to Lead Well: Healthy Leadership for a Healthy Future
The document discusses creating a culture of health through healthy leadership. It states that 2/3 of US healthcare costs are due to lifestyle choices and changing behaviors could reduce chronic disease cases by 40 million by 2023 and save $1.1 trillion annually. Healthy leadership is described as self-aware, open to growth, positively engaging, adaptable, and resilient. Creating a culture of health requires passionate, persistent leadership at all levels to empower citizens to act for themselves.
Transfomer
Here are the solutions to the transformer problems:
1. A transformer has 100 turns on coil 1 and 200 turns on coil 2.
i. If the voltage on coil 1 is 10 volts, the voltage on coil 2 will be 20 volts (Voltage on coil 2 = Voltage on coil 1 x Turns on coil 2/Turns on coil 1 = 10V x 200/100 = 20V)
ii. If the voltage on coil 1 is 200 volts, the voltage on coil 2 will be 400 volts (Voltage on coil 2 = Voltage on coil 1 x Turns on coil 2/Turns on coil 1 = 200V x 200/100 = 400V)
iii.
hierarchy of values
Maslow's Hierarchy of Needs is an abstract model that arranges human needs in a rooted tree structure from lowest to highest. It places sensory and vital needs like food and shelter at the bottom as more basic needs, followed by spiritual needs, with holy values at the top as the most advanced needs. The hierarchy is based on principles like higher needs only being pursued once lower needs are met, with more advanced needs providing deeper satisfaction.
Viewers also liked (6)
Living Well to Lead Well: Healthy Leadership for a Healthy Future
Living Well to Lead Well: Healthy Leadership for a Healthy Future
Similar to Jeffrey Villaveces
Crisis Mapping
Crisis mapping involves collecting information from crowdsourced reports, visualizing that data on interactive maps, and analyzing patterns. It has evolved from static expert-created maps to participatory mapping using mobile phones, social media, and open-source tools. This allows at-risk communities to map conflicts and empower themselves. Current developments include automated data processing in real-time, combining crowdsourcing with matching needs and resources, and greater analysis of high-resolution satellite imagery and social media. Challenges include sustainability, privacy, and ensuring technologies supplement rather than replace traditional knowledge.
Keynote: INTERNATIONAL HUMANITARIAN SERVICES: COLLABORATION, PARTNERSHIPS AN...
The document summarizes a conference on international humanitarian services, collaboration, and growth. It discusses the Crisis Response Team's experience responding to disasters globally and their approach of providing information and technology to support emergency management. It also outlines proposals for new initiatives like the Global Centre for Humanitarian Services to facilitate international collaboration on data sharing, crisis management, and disaster risk reduction.
UN OCHA presentation
International Day for Disaster Reduction at the World Bank
Disaster Risk Management in the Information Age
A joint training workshop by GICT, GFDRR, infoDev and LCSUW to mark the International Day for Disaster Reduction
ICT and Disaster Management
Lounge lecture given on ICT usage and disaster management at De La Salle Univeristy, Manila on Saturday, 18 June 2011
Ijciet 10 02_001
The paper proposed a model for estimating the quantitative indicator of current
risks of threats and cyberattacks realization on information communication systems of
transport (ICST), that differs from the existing models with ability to take into account
the degree of influence of each threat or cyberattack within the class on the
probability of an emergency situation that arises at cyber-attacks on components
Multimedia rescue 161018
This document summarizes a presentation about using multimedia technologies for emergency situations. It discusses:
1) The potential of emerging multimedia technologies like smartphones and social media to help with disaster response and management by providing real-time situation reports and coordinating relief efforts.
2) Prototype applications that have been developed like one for the Thai floods that used flood level and shelter data along with tweets to help direct aid.
3) Remaining research challenges around issues like human reporting of data, real-time situation recognition from multiple data streams, and predictive analytics.
4) The vision of building a global "situation map" by analyzing the billions of photos uploaded from smartphones to help recognize situations worldwide.
Trustworthy Sensing for Public Safety in Cloud Centric Things of Internet wit...
The Things of Internet (TOI) are paradigm stands for
virtually interconnected objects that we can identify the objects
through its different devices and services with Wi-Fi sensing
system, computing, and communications system. All of the
implementations, applications and there services are
implemented over the TOI architecture system. It can use the
concept to get benefit over the cloud computing services. Sensing
Service (SS) is cloud-inspired service model which used to
enables access the TOI. We present a framework where TOI can
enhance public safety through crowd management system, and
also provide sensing services with different types of sensors
device are available. In order to ensure trustworthiness in the
presented framework, where users can support from there
reviews with the incentive supported of network, we can also
check the trustworthiness of data, for more trustfulness. We have
design for mobile services application to demonstrate how users
our can connect to Wi-Fi hotspots and how the networks work in
crowd sourced Wi-Fi sensing system. We propose a SS scheme
namely, Sensing for Crowd Management (SCM) for front-end
access to the TOI. To collect and share user experience through
Wi-Fi hotspots in an urban and rural area. We incorporate the
network into the system. SCM is used to sensing data on cloud
model and a procedure which used to selects mobile devices for
specific tasks and identifies the payments by users through
mobile devices which provide data. The performance of SCM
shows that the impact of more users in the crowd sourced data
can be degraded by 70% while trustworthiness of a malicious
user converges to a value below 30% following few auctions.
Moreover, we show that SCM can enhance the utility of the
public safety authority up to 80%.
IRJET - Driving Safety Risk Analysis using Naturalistic Driving Data
This document summarizes research on analyzing driving safety risks using naturalistic driving data. Key points:
- Researchers analyzed potential crash data from over 6,000 drivers, which included vehicle status, driving environment, road type, weather, and driver details. About 6% of drivers were identified as high-risk and 18% as high/moderate risk.
- Factors found to have a strong relationship with high-risk driving included speed during braking, age, personality traits, and environmental conditions.
- The results indicate that identifying and predicting high-risk drivers could help greatly in developing proactive driver training programs and safety countermeasures.
2011 NIJ Crime Mapping Conference - Data Mining and Risk Forecasting in Web-b...
- Azavea is a software company based in Philadelphia that develops web-based crime analysis, early warning, and risk forecasting tools to help police departments like analyzing crime data.
- Their HunchLab software aims to automate time-intensive data analysis tasks and provide predictive analytics capabilities to help forecast crime patterns and risks.
- Two key features of HunchLab are near repeat pattern analysis, which quantifies the increased risk of similar crimes nearby in space and time after an initial crime, and load forecasting, which predicts expected crime counts based on historical seasonal and trend patterns.
Physical Cyber Social Computing: An early 21st century approach to Computing ...
Keynote given at WiMS 2013 Conference, June 12-14 2013, Madrid, Spain. http://aida.ii.uam.es/wims13/keynotes.php
Video of this talk at: http://videolectures.net/wims2013_sheth_physical_cyber_social_computing/
More information at: More at: http://wiki.knoesis.org/index.php/PCS
and http://knoesis.org/projects/ssw/
Replacing earlier versions: http://www.slideshare.net/apsheth/physical-cyber-social-computing & http://www.slideshare.net/apsheth/semantics-empowered-physicalcybersocial-systems-for-earthcube
Abstract: The proper role of technology to improve human experience has been discussed by visionaries and scientists from the early days of computing and electronic communication. Technology now plays an increasingly important role in facilitating and improving personal and social activities and engagements, decision making, interaction with physical and social worlds, generating insights, and just about anything that an intelligent human seeks to do. I have used the term Computing for Human Experience (CHE) [1] to capture this essential role of technology in a human centric vision. CHE emphasizes the unobtrusive, supportive and assistive role of technology in improving human experience, so that technology “takes into account the human world and allows computers themselves to disappear in the background” (Mark Weiser [2]).
In this talk, I will portray physical-cyber-social (PCS) computing that takes ideas from, and goes significantly beyond, the current progress in cyber-physical systems, socio-technical systems and cyber-social systems to support CHE [3]. I will exemplify future PCS application scenarios in healthcare and traffic management that are supported by (a) a deeper and richer semantic interdependence and interplay between sensors and devices at physical layers, (b) rich technology mediated social interactions, and (c) the gathering and application of collective intelligence characterized by massive and contextually relevant background knowledge and advanced reasoning in order to bridge machine and human perceptions. I will share an example of PCS computing using semantic perception [4], which converts low-level, heterogeneous, multimodal and contextually relevant data into high-level abstractions that can provide insights and assist humans in making complex decisions. The key proposition is to explain that PCS computing will need to move away from traditional data processing to multi-tier computation along data-information-knowledge-wisdom dimension that supports reasoning to convert data into abstractions that humans are adept at using.
[1] A. Sheth, Computing for Human Experience
[2] M. Weiser, The Computer for 21st Century
[3] A. Sheth, Semantics empowered Cyber-Physical-Social Systems
[4] C. Henson, A. Sheth, K. Thirunarayan, Semantic Perception: Converting Sensory Observations to Abstractions
Crisis Management Enhanced by Advanced Software
Empower your emergency response and crisis management teams with state-of-the-art software solutions. Our advanced tools streamline coordination, data analysis, and communication, ensuring faster and more effective disaster preparedness and response. Don't wait for the next crisis – invest in cutting-edge technology today for a safer tomorrow.
Crime Prediction and Analysis
This document presents a study on crime prediction and analysis using machine learning algorithms. The authors used a crime dataset from Indore, India containing timestamps, crime types, latitude and longitude. They performed data preprocessing, then trained and tested K-nearest neighbor, random forest and decision tree models on the data. The random forest model achieved the highest accuracy. Visualizations including feature selection plots, crime density graphs and heatmaps provided insights into patterns in the crime data. The authors concluded machine learning can help law enforcement predict and solve crimes faster, potentially reducing crime rates.
IJET-V3I1P3
Social networking sites are source of information for event detection, with specific reference of the road traffic activity
blockage and accidents or earth-quack sensing system. During this paper, we have a tendency to present a time period
observation system supposed for traffic occasion detection coming back from social media stream analysis. The system
fetches tweets coming back from social media/network as per a many search criteria; ways tweets/posts, by applying matter
content mining methods; last however not least works the classification of social networks posts. The goal is to assign
appropriate category packaging to each posts, as a result of connected with Associate in Nursing activity of traffic event or
maybe not. The traffic recognition system or framework was utilized for time period observation of varied areas of the road
network, taking into consideration detection of traffic occasions simply virtually in actual time, frequently before on-line
traffic news sites. All people utilized the support vector machine sort of a classification unit; what is more, we tend to
accomplish a good accuracy price of 95.76% by making an attempt a binary classification problem. All people were
conjointly capable to discriminate if traffic is triggered by Associate in nursing external celebration or not, by partitioning a
multi category classification issue and getting accuracy price of 88.89.
HPC FINAL PROJECT
In this Project we analyses the spread and impact of the novel coronavirus pandemic which has taken the world by storm with its rapid growth. In this we like to develop a machine learning model in Python to analyze what has been its impact so far and analyze the outbreak of COVID 19 across various regions, visualize them using charts and tables, and predict the number of upcoming confirmed cases.
Natural Disaster
The document discusses natural disasters in India and Asia, and how remote sensing and GIS technologies can help mitigate disasters. Space technology, including communication and earth observation satellites, provides disaster warning, relief coordination, and data for pre- and post-disaster planning. GIS integrates spatial and non-spatial data and allows analysis for various stages of disaster management. Remote sensing provides historical data on past hazards to assess risk and aid mitigation planning.
Automation of Profile Reporting System for Misogyny Identification
The document discusses the development of an automated system to identify and report misogynistic content on social media platforms. It aims to classify memes as misogynistic or not by categorizing misogyny into types like stereotyping, shaming, violence, and objectification. The system would work to prevent situations of misogyny by automating the user reporting process rather than just relying on action after the fact. It also provides an overview of related work on identifying different types of abusive or harmful online content using techniques like naive Bayes classifiers, convolutional neural networks, and transformer models.
Spatio-temporal Monitoring of Health Epidemics in Real-Time-Some Considerations
The document discusses developing a real-time system to monitor airborne pathogens in public transportation vehicles. It proposes using biosensors in vehicles to collect data on pathogens and air quality, communicating this data through transportation systems to a control center for analysis. Key challenges include developing portable biosensors, detection methods, integrating the system with transportation infrastructure, and epidemiological modeling to interpret multiple data streams in real-time and determine thresholds for response.
Smart Data - How you and I will exploit Big Data for personalized digital hea...
Amit Sheth's keynote at IEEE BigData 2014, Oct 29, 2014.
Abstract from:
http://cci.drexel.edu/bigdata/bigdata2014/keynotespeech.htm
Big Data has captured a lot of interest in industry, with the emphasis on the challenges of the four Vs of Big Data: Volume, Variety, Velocity, and Veracity, and their applications to drive value for businesses. Recently, there is rapid growth in situations where a big data challenge relates to making individually relevant decisions. A key example is personalized digital health that related to taking better decisions about our health, fitness, and well-being. Consider for instance, understanding the reasons for and avoiding an asthma attack based on Big Data in the form of personal health signals (e.g., physiological data measured by devices/sensors or Internet of Things around humans, on the humans, and inside/within the humans), public health signals (e.g., information coming from the healthcare system such as hospital admissions), and population health signals (such as Tweets by people related to asthma occurrences and allergens, Web services providing pollen and smog information). However, no individual has the ability to process all these data without the help of appropriate technology, and each human has different set of relevant data!
In this talk, I will describe Smart Data that is realized by extracting value from Big Data, to benefit not just large companies but each individual. If my child is an asthma patient, for all the data relevant to my child with the four V-challenges, what I care about is simply, “How is her current health, and what are the risk of having an asthma attack in her current situation (now and today), especially if that risk has changed?” As I will show, Smart Data that gives such personalized and actionable information will need to utilize metadata, use domain specific knowledge, employ semantics and intelligent processing, and go beyond traditional reliance on ML and NLP. I will motivate the need for a synergistic combination of techniques similar to the close interworking of the top brain and the bottom brain in the cognitive models.
For harnessing volume, I will discuss the concept of Semantic Perception, that is, how to convert massive amounts of data into information, meaning, and insight useful for human decision-making. For dealing with Variety, I will discuss experience in using agreement represented in the form of ontologies, domain models, or vocabularies, to support semantic interoperability and integration. For Velocity, I will discuss somewhat more recent work on Continuous Semantics, which seeks to use dynamically created models of new objects, concepts, and relationships, using them to better understand new cues in the data that capture rapidly evolving events and situations.
Smart Data applications in development at Kno.e.sis come from the domains of personalized health, energy, disaster response, and smart city.
Challenges on geo spatial visual analytics eurographics
The document discusses the development of an advanced 3D geobrowser client-server solution. Some key points:
- The client is a 3D geobrowser developed using Java and built on World Wind APIs that allows users to visualize and interact with geospatial data through a web interface.
- The server side utilizes Java EE and provides interoperable access to data through OGC standards like WMS, WFS, WPS and CSW. It also enables high performance through server clustering.
- The system allows interactive analysis and visualization of geospatial data in 3D for applications like emergency response and decision support. Users can access maps, features and sensors through the thin client interface.
[Seminar] 20210115 Hyeshin Chu
This document describes a proposed online incremental machine learning platform for smart traffic management using big data. The platform uses several machine learning approaches: 1) An unsupervised online incremental algorithm detects real-time concept drifts in traffic data streams; 2) A deep learning model predicts traffic flow and estimates impact propagation; 3) A deep reinforcement learning approach determines optimal traffic control actions. It also integrates social media data to analyze commuter sentiment during traffic events. The platform is evaluated on a real-world dataset containing traffic and social media data from Victoria, Australia.
Similar to Jeffrey Villaveces (20)
Keynote: INTERNATIONAL HUMANITARIAN SERVICES: COLLABORATION, PARTNERSHIPS AN...
Keynote: INTERNATIONAL HUMANITARIAN SERVICES: COLLABORATION, PARTNERSHIPS AN...
Trustworthy Sensing for Public Safety in Cloud Centric Things of Internet wit...
Trustworthy Sensing for Public Safety in Cloud Centric Things of Internet wit...
IRJET - Driving Safety Risk Analysis using Naturalistic Driving Data
IRJET - Driving Safety Risk Analysis using Naturalistic Driving Data
2011 NIJ Crime Mapping Conference - Data Mining and Risk Forecasting in Web-b...
2011 NIJ Crime Mapping Conference - Data Mining and Risk Forecasting in Web-b...
Physical Cyber Social Computing: An early 21st century approach to Computing ...
Physical Cyber Social Computing: An early 21st century approach to Computing ...
Automation of Profile Reporting System for Misogyny Identification
Automation of Profile Reporting System for Misogyny Identification
Spatio-temporal Monitoring of Health Epidemics in Real-Time-Some Considerations
Spatio-temporal Monitoring of Health Epidemics in Real-Time-Some Considerations
Smart Data - How you and I will exploit Big Data for personalized digital hea...
Smart Data - How you and I will exploit Big Data for personalized digital hea...
Challenges on geo spatial visual analytics eurographics
Challenges on geo spatial visual analytics eurographics
Recently uploaded
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART INDIA MATKA KALYAN SATTA MATKA 420 INDIAN MATKA SATTA KING MATKA FIX JODI FIX FIX FIX SATTA NAMBAR MATKA INDIA SATTA BATTA
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
High-Quality IPTV Monthly Subscription for $15
Experience high-quality entertainment with our IPTV monthly subscription for just $15. Access a vast array of live TV channels, movies, and on-demand shows with crystal-clear streaming. Our reliable service ensures smooth, uninterrupted viewing at an unbeatable price. Perfect for those seeking premium content without breaking the bank. Start streaming today!
https://rb.gy/f409dk
欧洲杯投注-欧洲杯投注外围盘口-欧洲杯投注盘口app|【网址🎉ac22.net🎉】
【网址🎉ac22.net🎉】欧洲杯投注是体育博彩和在线赌场之一，得益于UKGC的三项许可。 成立之初是三名博彩公司将40家博彩商店的合并的结果，共同创建一家名为欧洲杯投注的公司。 欧洲杯投注在线赌场为游戏爱好者提供了300多种游戏，其中200多种老虎机，其他游戏包括二十一点，轮盘，真人荷官和真人赌场等。
Enhancing Adoption of AI in Agri-food: Introduction
Introduction to the Panel on: Pathways and Challenges: AI-Driven Technology in Agri-Food, AI4Food, University of Guelph
“Enhancing Adoption of AI in Agri-food: a Path Forward”, 18 June 2024
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART KALYAN CHART
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka➒➌➎➏➑➐➋➑➐➐Dpboss Matka Guessing Satta Matka Kalyan Chart Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka Satta Matta Matka KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKASatta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN CHART KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
❽❽❻❼❼❻❻❸❾❻ DPBOSS NET SPBOSS SATTA MATKA RESULT KALYAN MATKA GUESSING FREE KA...
DPBOSS NET SPBOSS SATTA MATKA RESULT KALYAN MATKA GUESSING FREE KALYAN FIX JODI ANK LEAK FIX GAME BY DP BOSS MATKA SATTA NUMBER TODAY LUCKY NUMBER FREE TIPS ...
Kalyan Chart Satta Matka Dpboss Kalyan Matka Results
KALYAN CHART SATTA MATKA DPBOSS KALYAN MATKA RESULTS KALYAN MATKA MATKA RESULT KALYAN MATKA TIPS SATTA MATKA MATKA COM MATKA PANA JODI TODAY BATTA SATKA MATKA PATTI JODI NUMBER MATKA RESULTS MATKA CHART MATKA JODI SATTA COM INDIA SATTA MATKA MATKA TIPS MATKA WAPKA ALL MATKA RESULT LIVE ONLINE MATKA RESULT KALYAN MATKA RESULT DPBOSS MATKA 143 MAIN MATKA KALYAN MATKA RESULTS KALYAN CHART
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka➒➌➎➏➑➐➋➑➐➐Dpboss Matka Guessing Satta Matka Kalyan Chart Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKAUnlocking WhatsApp Marketing with HubSpot: Integrating Messaging into Your Ma...
50 million companies worldwide leverage WhatsApp as a key marketing channel. You may have considered adding it to your marketing mix, or probably already driving impressive conversions with WhatsApp.
But wait. What happens when you fully integrate your WhatsApp campaigns with HubSpot?
That's exactly what we explored in this session.
We take a look at everything that you need to know in order to deploy effective WhatsApp marketing strategies, and integrate it with your buyer journey in HubSpot. From technical requirements to innovative campaign strategies, to advanced campaign reporting - we discuss all that and more, to leverage WhatsApp for maximum impact. Check out more details about the event here https://events.hubspot.com/events/details/hubspot-new-delhi-presents-unlocking-whatsapp-marketing-with-hubspot-integrating-messaging-into-your-marketing-strategy/
Adani Group Requests For Additional Land For Its Dharavi Redevelopment Projec...
It will bring about growth and development not only in Maharashtra but also in our country as a whole, which will experience prosperity. The project will also give the Adani Group an opportunity to rise above the controversies that have been ongoing since the Adani CBI Investigation.
IMG_20240615_091110.pdf dpboss guessing
Satta matka fixx jodi panna all market dpboss matka guessing fixx panna jodi kalyan and all market game liss cover now 420 matka office mumbai maharashtra india fixx jodi panna
Call me 9040963354
WhatsApp 9040963354
Pro Tips for Effortless Contract Management
Tired of chasing down expiring contracts and drowning in paperwork? Mastering contract management can significantly enhance your business efficiency and productivity. This guide unveils expert secrets to streamline your contract management process. Learn how to save time, minimize risk, and achieve effortless contract management.
japanese language course in delhi near me
Next is the Nihon Language Academy in East Delhi, renowned for its comprehensive curriculum and interactive teaching methods. They boast a faculty of experienced educators with a blend of both Indian and Japanese nationals. The academy provides extensive support for JLPT exam preparation along with personalized tutoring sessions if needed. Nihon Language Academy also arranges exchange programs with partner institutes in Japan, which provides students an opportunity to experience Japanese culture and language first-hand.
Recently uploaded (20)
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Enhancing Adoption of AI in Agri-food: Introduction
Enhancing Adoption of AI in Agri-food: Introduction
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart
❽❽❻❼❼❻❻❸❾❻ DPBOSS NET SPBOSS SATTA MATKA RESULT KALYAN MATKA GUESSING FREE KA...
❽❽❻❼❼❻❻❸❾❻ DPBOSS NET SPBOSS SATTA MATKA RESULT KALYAN MATKA GUESSING FREE KA...
Kalyan Chart Satta Matka Dpboss Kalyan Matka Results
Kalyan Chart Satta Matka Dpboss Kalyan Matka Results
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
Unlocking WhatsApp Marketing with HubSpot: Integrating Messaging into Your Ma...
Unlocking WhatsApp Marketing with HubSpot: Integrating Messaging into Your Ma...
Adani Group Requests For Additional Land For Its Dharavi Redevelopment Projec...
Adani Group Requests For Additional Land For Its Dharavi Redevelopment Projec...