This document summarizes a research paper that explores vulnerability assessment and transportation modeling after cyclones in Kendrapada, India. It begins with an abstract that discusses examining coping strategies of coastal villagers after a cyclone using household surveys. It then discusses developing a systematic approach for risk modeling and disaster management of transportation systems in the context of cyclones. The paper aims to account for changes in post-cyclone travel demand and assess reliability of reaching transportation systems. It studies 262 villages within 10km of the coast in Kendrapada, a highly cyclone prone area of India. The paper presents a methodology with 3 stages: 1) determining vulnerability indices as probabilities of non-zero casualties based on factors like hazards, exposure, and adaptive capacity
Integrated vulnerability and risk assessment framework for cities karki joshiGyanendra Karki
This document proposes an integrated vulnerability and risk assessment framework for cities exposed to both climatic and non-climatic hazards. The framework aims to address gaps in existing approaches by translating theory into practice and holistically treating multiple risks. It follows concepts from the IPCC's Fifth Assessment Report and involves assessing vulnerability, exposure, and risk for each hazard-city component combination. Adaptation options are then identified and combined. The framework facilitates communication across hazard science, analysis, and policy domains to inform climate-resilient planning. However, challenges remain in indicator selection and framework simplification which require further testing using real-world examples.
6th International Disaster and Risk Conference IDRC 2016 Integrative Risk Management - Towards Resilient Cities. 28 August - 01 September 2016 in Davos, Switzerland
To Establish Evacuation Decision-Making Selection Modes of Aboriginal Tribes ...IJERA Editor
In this study I try to utilize the concepts of ―environmental vulnerability‖ and ―evacuation behaviors among minority groups‖ and apply the evacuation selection mode generated from the public hazard perception to geographic information system, and analyze movement paths of residents during after disaster by using composite technology so that I can modify the suggested service scope and capacity of evacuation sites in the regions investigated in this study and provide minority groups with optimal selection mode.
This document discusses understanding disaster risk assessment. It reviews different methods used for quantifying disaster risk assessment. Variables used to define disaster risk formulas have complex characteristics, resulting in the use of both mathematical statistics and risk index approaches. A lack of statistical data leads to the use of community-based risk assessment instead of probability models. The document recommends using Heijmans and Victoria's formula for disaster risk preparedness and Van Westen's formula for post-disaster reconstruction and rehabilitation.
Flooding is one of the most devastating natural
disasters in Nigeria. The impact of flooding on human activities
cannot be overemphasized. It can threaten human lives, their
property, environment and the economy. Different techniques
exist to manage and analyze the impact of flooding. Some of these
techniques have not been effective in management of flood
disaster. Remote sensing technique presents itself as an effective
and efficient means of managing flood disaster. In this study,
SPOT-10 image was used to perform land cover/ land use
classification of the study area. Advanced Space borne Thermal
Emission and Reflection Radiometer (ASTER) image of 2010 was
used to generate the Digital Elevation Model (DEM). The image
focal statistics were generated using the Spatial Analyst/
Neighborhood/Focal Statistics Tool in ArcMap. The contour map
was produced using the Spatial Analyst/ Surface/ Contour Tools.
The DEM generated from the focal statistics was reclassified into
different risk levels based on variation of elevation values. The
depression in the DEM was filled and used to create the flow
direction map. The flow accumulation map was produced using
the flow direction data as input image. The stream network and
watershed were equally generated and the stream vectorized. The
reclassified DEM, stream network and vectorized land cover
classes were integrated and used to analyze the impact of flood on
the classes. The result shows that 27.86% of the area studied will
be affected at very high risk flood level, 35.63% at high risk,
17.90% at moderate risk, 10.72% at low risk, and 7.89% at no
risk flood level. Built up area class will be mostly affected at very
high risk flood level while farmland will be affected at high risk
flood level. Oshoro, Imhekpeme, and Weppa communities will be
affected at very high risk flood inundation while Ivighe, Uneme,
Igoide and Iviari communities will be at risk at high risk flood
inundation level. It is recommended among others that buildings
that fall within the “Very High Risk” area should be identified
and occupants possibly relocated to other areas such as the “No
Risk” area.
Integrated vulnerability and risk assessment framework for cities karki joshiGyanendra Karki
This document proposes an integrated vulnerability and risk assessment framework for cities exposed to both climatic and non-climatic hazards. The framework aims to address gaps in existing approaches by translating theory into practice and holistically treating multiple risks. It follows concepts from the IPCC's Fifth Assessment Report and involves assessing vulnerability, exposure, and risk for each hazard-city component combination. Adaptation options are then identified and combined. The framework facilitates communication across hazard science, analysis, and policy domains to inform climate-resilient planning. However, challenges remain in indicator selection and framework simplification which require further testing using real-world examples.
6th International Disaster and Risk Conference IDRC 2016 Integrative Risk Management - Towards Resilient Cities. 28 August - 01 September 2016 in Davos, Switzerland
To Establish Evacuation Decision-Making Selection Modes of Aboriginal Tribes ...IJERA Editor
In this study I try to utilize the concepts of ―environmental vulnerability‖ and ―evacuation behaviors among minority groups‖ and apply the evacuation selection mode generated from the public hazard perception to geographic information system, and analyze movement paths of residents during after disaster by using composite technology so that I can modify the suggested service scope and capacity of evacuation sites in the regions investigated in this study and provide minority groups with optimal selection mode.
This document discusses understanding disaster risk assessment. It reviews different methods used for quantifying disaster risk assessment. Variables used to define disaster risk formulas have complex characteristics, resulting in the use of both mathematical statistics and risk index approaches. A lack of statistical data leads to the use of community-based risk assessment instead of probability models. The document recommends using Heijmans and Victoria's formula for disaster risk preparedness and Van Westen's formula for post-disaster reconstruction and rehabilitation.
Flooding is one of the most devastating natural
disasters in Nigeria. The impact of flooding on human activities
cannot be overemphasized. It can threaten human lives, their
property, environment and the economy. Different techniques
exist to manage and analyze the impact of flooding. Some of these
techniques have not been effective in management of flood
disaster. Remote sensing technique presents itself as an effective
and efficient means of managing flood disaster. In this study,
SPOT-10 image was used to perform land cover/ land use
classification of the study area. Advanced Space borne Thermal
Emission and Reflection Radiometer (ASTER) image of 2010 was
used to generate the Digital Elevation Model (DEM). The image
focal statistics were generated using the Spatial Analyst/
Neighborhood/Focal Statistics Tool in ArcMap. The contour map
was produced using the Spatial Analyst/ Surface/ Contour Tools.
The DEM generated from the focal statistics was reclassified into
different risk levels based on variation of elevation values. The
depression in the DEM was filled and used to create the flow
direction map. The flow accumulation map was produced using
the flow direction data as input image. The stream network and
watershed were equally generated and the stream vectorized. The
reclassified DEM, stream network and vectorized land cover
classes were integrated and used to analyze the impact of flood on
the classes. The result shows that 27.86% of the area studied will
be affected at very high risk flood level, 35.63% at high risk,
17.90% at moderate risk, 10.72% at low risk, and 7.89% at no
risk flood level. Built up area class will be mostly affected at very
high risk flood level while farmland will be affected at high risk
flood level. Oshoro, Imhekpeme, and Weppa communities will be
affected at very high risk flood inundation while Ivighe, Uneme,
Igoide and Iviari communities will be at risk at high risk flood
inundation level. It is recommended among others that buildings
that fall within the “Very High Risk” area should be identified
and occupants possibly relocated to other areas such as the “No
Risk” area.
This document discusses the role of remote sensing and GIS in disaster management. It begins with an introduction to disaster management cycles and then describes how remote sensing is used across different stages of disasters like cyclones, earthquakes, and floods for tasks such as early warning, damage assessment, and recovery planning. It provides examples of various satellites used for monitoring different disasters. The document emphasizes that while hazards cannot be prevented, remote sensing can play a key role in minimizing loss of life through preparedness, response, and rebuilding efforts after disasters strike.
This document discusses the use of satellite remote sensing for natural hazard assessment and disaster management. It begins with an introduction to natural hazards and disasters, providing statistics that show floods are the most common type of disaster. It then discusses the disaster management cycle and gives an overview of remote sensing technology. The main role of remote sensing is to support hazard assessment, damage estimation, predictive modeling of catastrophic events, and determining hazardous areas. The document then provides a specific case study of using satellite imagery to map 2010 floods in Pakistan, identifying inundated areas and tracking the movement of floods over time to help relief efforts.
Study on Probability Distribution of Disaster Losses, Demographics and Social...Global Risk Forum GRFDavos
6th International Disaster and Risk Conference IDRC 2016 Integrative Risk Management - Towards Resilient Cities. 28 August - 01 September 2016 in Davos, Switzerland
IRJET- Predicting the Rainfall of Ghana using the Grey Prediction Model G...IRJET Journal
This document summarizes a study that uses the Grey Prediction Model GM(1,1) and the Grey Verhulst Model (GVM) to predict rainfall patterns in Ghana from 2017 to 2024. The study analyzes rainfall variability data from 2009 to 2016 to establish forecasting models. The models will help support decision-making and planning in agriculture and hydrology by identifying future rainfall variability and improving understanding of its impact. The document provides background on Ghana's agricultural sector and dependence on rainfall, and the significance of accurately predicting rainfall patterns. It also reviews literature on grey system theory, uncertain systems, and the applications and methods of the GM(1,1) and Grey Verhulst models.
An Assessment of the level of vulnerability to climate change risks in a deve...Global Risk Forum GRFDavos
This document summarizes a study that assessed the vulnerability of Makurdi, Nigeria to climate change risks using the Environmental Vulnerability Index model. The study found high vulnerability scores across indicators, sub-categories, and the overall city for both 1997-2001 and 2002-2006 periods. Anthropogenic factors and exposure risks had the highest scores, suggesting these areas require focus to increase resilience. While limitations exist, the results highlight the need for environmental legislation, disaster management, and improved living standards to reduce risks in this developing city.
GIS is an essential technology for all phases of emergency management preparation, mitigation, response, and recovery. Find out how GIS provides a foundation for comprehensive emergency management .
To prepare for and mitigate emergencies, GIS can map and model potential disasters to help visualize critical vulnerabilities and damage consequences. As rebuilding begins, GIS aids local, state, and federal agencies with technology that supports collaboration between multiple agencies.
Field data captured with mobile GIS provides the ability to add updates from remote locations for more efficient incident management. It also supplies rapid damage assessment and more accurate recovery operations.
This document discusses the application of geoinformatics in disaster management. It begins by introducing the disaster management cycle of mitigation, preparedness, response and recovery. It then provides an overview of different geoinformatics tools and technologies like photogrammetry, remote sensing, spatial analysis and GIS software. The main body examines how each geoinformatics tool can be applied in the different phases of the disaster management cycle for tasks like hazard mapping, evacuation planning, damage assessment etc. Specific examples discussed include using remote sensing to monitor volcanoes and producing landslide susceptibility maps with GIS. Overall, the document illustrates how geoinformatics plays a crucial role in effective disaster risk reduction and response.
APPLICATIONS OF REMOTE SENSING AND GIS TECHNOLOGIES IN FLOOD RISK MANAGEMENTrsmahabir
Flooding is the most common of all major disasters that regularly affect populations and results in extensive damage to property, infrastructure, natural resources, and even to loss of life. To ensure better outcomes, planning and execution of flood management projects must utilize knowledge on a wide range of factors, most of which are of a spatial nature. Advances in geospatial technologies, specifically remote sensing and Geographic Information Systems (GIS), have enabled the acquisition and analysis of data about the Earth's surface for flood mitigation projects in a faster, more efficient and more accurate manner.
Remote sensing and GIS have emerged as powerful tools to deal with various aspects of flood management in prevention, preparedness and relief management of flood disaster. GIS facilitates integration of spatial and non-spatial data such as rainfall and stream flows, river cross sections and profiles, and river basin characteristics, as well as other information such as historical flood maps, infrastructures, land use, and social and economic data. Such data sets are critical for the in-depth analysis and management of floods.
Remote sensing technologies have great potential in overcoming the information void in the Caribbean region. The observation, mapping, and representation of Earth’s surface have provided effective and timely information for monitoring floods and their effect. The potential of new air- and space-borne imaging technologies for improving hazard evaluation and risk reduction is continually being explored. They are relatively inexpensive and have the ability to provide information on several parameters that are crucial to flood mapping and monitoring.
Application of Remote Sensing & GIS in Disaster ManagementAjayPatro
Disasters disrupt communities and cause losses that exceed their ability to cope. They are often caused by natural hazards but can have human origins. Remote sensing using tools like GIS and spatial analysis helps manage disasters at various stages: it assesses hazard/vulnerability, plans evacuation routes and emergency operations, aids search/rescue, and organizes damage/reconstruction data. These tools have made emergency response and management more efficient.
This document discusses the use of Geographic Information Systems (GIS) in risk management and disaster response. It defines GIS as a system for storing, analyzing, and presenting spatially-referenced data in layers. The document then discusses disaster management and risk assessment methods before explaining how GIS can help with risk assessment for earthquakes, floods, and epidemiology by providing spatial data and modeling capabilities. The conclusion states that GIS is an important tool for risk management by facilitating data collection and risk simulation to aid emergency preparation and response.
The document provides an outline for a training on risk assessment and risk management in development planning. It discusses defining key terms like hazards, exposure, vulnerability and risk. The risk assessment process involves identifying risks through developing scenarios, analyzing the probability and impacts of risks, and mapping risks. Risk assessment aims to support informed decision making at various timescales and spatial levels to improve disaster risk reduction and management.
Multi-scale vulnerability assessment for adaptation planningTashina Esteves
This document presents a multi-scale vulnerability assessment approach to identify and prioritize the most vulnerable districts, villages, and households in Karnataka State, India to current climate variability and future climate change impacts. The assessment was conducted at the district level for all 30 districts in Karnataka, at the village level for 1220 villages in Chikballapur district, and at the household level for two villages in Chikballapur district. The assessment identified low levels of education and skills as the dominant contributing factors to vulnerability at the district, village, and household levels. At the village and household levels, a lack of income diversification and livelihood support institutions were also key drivers of vulnerability. The multi-scale approach facilitates identifying and prior
This document summarizes a presentation on urban resilience in Nigeria given by Simon Gusah. Some key points:
1. It discusses the concepts of sustainability and resilience, noting they have similar timespans but are not identical, with resilience being a component of sustainability.
2. It provides background on Nigeria's rapidly growing population which is projected to double every 25 years, presenting challenges but also opportunities. Climate change and conflicts also threaten Nigeria.
3. The presentation examines the 100 Resilient Cities initiative's framework and Nigeria's opportunity to rebuild the northeast in a resilient manner following the Boko Haram insurgency.
4. Recommendations include embracing the informal sector and learning from traditional governance models
Country analysis explination updated 010108URRworkshop
The Regional Disaster Management Unit of the International Federation analyzed the disaster management capacity and vulnerability of 11 countries in Southeast Asia. They used 13 indicators across four categories - hazard risk, vulnerability, response capacity, and disaster risk reduction capacity. Each country was given a rating based on scores assigned to the 13 indicators. The analysis will help the Regional Disaster Management Unit plan its activities for 2008-2009 and identify opportunities for collaboration with other organizations to strengthen capacity and reduce disaster risk in the region.
This presentations explains the main definitions related to flood risk management. and how to assess the Vulnerability of the society towards flood dangers. and flood risk analysis process. and gives some examples of flood risk assessment applications.
DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...IJMIT JOURNAL
Developing countries lacking technology infrastructures experience most disasters such as tsunami, hurricane Katrina, earthquakes. Even though, many lives are saved in developed countries through the use of high-level or sophisticated technology, only the technology that is easy to use, inexpensive, durable and field-tested should be introduced and used during the relief operation. The effect of climate change andrapid population growth are probably exposed people inhabiting areas to substantial environmental risks. The authors highlight and identify current practices, particularities, and challenges in earthquakes relief operations with the aims of reviewing the roles E-Service and Mobile Technology tools in real-life situations and practices could do to help in disaster operations. This study focuses on victims of earthquakes worldwide. The study will review and provide insights into the roles of E-Service and Mobile Technologies in earthquakes relief operations and how the internally displaced person could benefit from these services. The limitations of these services will be discussed and how the technology could be used to further predict natural disaster such as earthquakes is also considered.
DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...IJMIT JOURNAL
Developing countries lacking technology infrastructures experience most disasters such as tsunami,
hurricane Katrina, earthquakes. Even though, many lives are saved in developed countries through the use
of high-level or sophisticated technology, only the technology that is easy to use, inexpensive, durable and
field-tested should be introduced and used during the relief operation. The effect of climate change and
rapid population growth are probably exposed people inhabiting areas to substantial environmental risks.
The authors highlight and identify current practices, particularities, and challenges in earthquakes relief
operations with the aims of reviewing the roles E-Service and Mobile Technology tools in real-life
situations and practices could do to help in disaster operations. This study focuses on victims of
earthquakes worldwide. The study will review and provide insights into the roles of E-Service and Mobile
Technologies in earthquakes relief operations and how the internally displaced person could benefit from
these services. The limitations of these services will be discussed and how the technology could be used to
further predict natural disaster such as earthquakes is also considered.
Digital society a review of e service and mobile technology in earthquakes re...IJMIT JOURNAL
This document provides a literature review of the roles of e-service and mobile technology in earthquake relief operations. It discusses how GPS, Bluetooth, VSAT, RFID, and GIS technologies can help to track affected individuals, facilitate emergency response, enable communication when infrastructure is damaged, identify people and objects, and monitor hazardous areas. The review finds that these technologies can improve relief efforts by expediting the resettlement of displaced persons and aiding organizations responding to disasters. However, it notes limitations that must be addressed and ways technology could further help predict natural disasters.
Study of Natural Disaster and its Impact in Uttarakhandijsrd.com
This document summarizes a study on natural disasters and their impacts in the Indian state of Uttarakhand. It discusses several types of natural disasters that frequently occur in Uttarakhand, including floods, landslides, cloudbursts, forest fires, and avalanches. The study focuses on a devastating flood in June 2013 caused by heavy rainfall and glacier melting that killed over 5,700 people. Graphs show death tolls and occurrences of earthquakes, flash floods, avalanches, and cloudbursts by year. The conclusion states that while disasters cannot be stopped, their impacts can be minimized through preparedness, education, post-disaster relief, and rebuilding infrastructure to be more resilient.
This document summarizes the design and components of a small-scale unmanned aerial vehicle (UAV). It describes the required hardware including a brushless motor, electronic speed controller, transmitter and receiver, servos, and battery. It provides block diagrams of the system design and discusses the materials used to build the airframe. Applications of UAVs include aerial surveillance, scientific research, search and rescue operations, and more. Future developments may allow UAVs to perform combat missions and aerial resupply.
This document discusses service management strategies for next generation networks. It proposes a distributed algorithm using a token ring approach. The algorithm establishes a logical ring within the core network consisting of all Access Network Servers. When a mobile host submits a request, its local Access Network Server adds it to a request queue. When the token visits that server, pending requests are moved to a grant queue and serviced. If the mobile host has migrated, search strategies are used to locate and deliver the token to the mobile host at its current Access Network Server. Alternatively, the network can be partitioned into areas each managed by a proxy server, with the token circulating among proxies to service requests from mobile hosts in their respective areas.
This document discusses the role of remote sensing and GIS in disaster management. It begins with an introduction to disaster management cycles and then describes how remote sensing is used across different stages of disasters like cyclones, earthquakes, and floods for tasks such as early warning, damage assessment, and recovery planning. It provides examples of various satellites used for monitoring different disasters. The document emphasizes that while hazards cannot be prevented, remote sensing can play a key role in minimizing loss of life through preparedness, response, and rebuilding efforts after disasters strike.
This document discusses the use of satellite remote sensing for natural hazard assessment and disaster management. It begins with an introduction to natural hazards and disasters, providing statistics that show floods are the most common type of disaster. It then discusses the disaster management cycle and gives an overview of remote sensing technology. The main role of remote sensing is to support hazard assessment, damage estimation, predictive modeling of catastrophic events, and determining hazardous areas. The document then provides a specific case study of using satellite imagery to map 2010 floods in Pakistan, identifying inundated areas and tracking the movement of floods over time to help relief efforts.
Study on Probability Distribution of Disaster Losses, Demographics and Social...Global Risk Forum GRFDavos
6th International Disaster and Risk Conference IDRC 2016 Integrative Risk Management - Towards Resilient Cities. 28 August - 01 September 2016 in Davos, Switzerland
IRJET- Predicting the Rainfall of Ghana using the Grey Prediction Model G...IRJET Journal
This document summarizes a study that uses the Grey Prediction Model GM(1,1) and the Grey Verhulst Model (GVM) to predict rainfall patterns in Ghana from 2017 to 2024. The study analyzes rainfall variability data from 2009 to 2016 to establish forecasting models. The models will help support decision-making and planning in agriculture and hydrology by identifying future rainfall variability and improving understanding of its impact. The document provides background on Ghana's agricultural sector and dependence on rainfall, and the significance of accurately predicting rainfall patterns. It also reviews literature on grey system theory, uncertain systems, and the applications and methods of the GM(1,1) and Grey Verhulst models.
An Assessment of the level of vulnerability to climate change risks in a deve...Global Risk Forum GRFDavos
This document summarizes a study that assessed the vulnerability of Makurdi, Nigeria to climate change risks using the Environmental Vulnerability Index model. The study found high vulnerability scores across indicators, sub-categories, and the overall city for both 1997-2001 and 2002-2006 periods. Anthropogenic factors and exposure risks had the highest scores, suggesting these areas require focus to increase resilience. While limitations exist, the results highlight the need for environmental legislation, disaster management, and improved living standards to reduce risks in this developing city.
GIS is an essential technology for all phases of emergency management preparation, mitigation, response, and recovery. Find out how GIS provides a foundation for comprehensive emergency management .
To prepare for and mitigate emergencies, GIS can map and model potential disasters to help visualize critical vulnerabilities and damage consequences. As rebuilding begins, GIS aids local, state, and federal agencies with technology that supports collaboration between multiple agencies.
Field data captured with mobile GIS provides the ability to add updates from remote locations for more efficient incident management. It also supplies rapid damage assessment and more accurate recovery operations.
This document discusses the application of geoinformatics in disaster management. It begins by introducing the disaster management cycle of mitigation, preparedness, response and recovery. It then provides an overview of different geoinformatics tools and technologies like photogrammetry, remote sensing, spatial analysis and GIS software. The main body examines how each geoinformatics tool can be applied in the different phases of the disaster management cycle for tasks like hazard mapping, evacuation planning, damage assessment etc. Specific examples discussed include using remote sensing to monitor volcanoes and producing landslide susceptibility maps with GIS. Overall, the document illustrates how geoinformatics plays a crucial role in effective disaster risk reduction and response.
APPLICATIONS OF REMOTE SENSING AND GIS TECHNOLOGIES IN FLOOD RISK MANAGEMENTrsmahabir
Flooding is the most common of all major disasters that regularly affect populations and results in extensive damage to property, infrastructure, natural resources, and even to loss of life. To ensure better outcomes, planning and execution of flood management projects must utilize knowledge on a wide range of factors, most of which are of a spatial nature. Advances in geospatial technologies, specifically remote sensing and Geographic Information Systems (GIS), have enabled the acquisition and analysis of data about the Earth's surface for flood mitigation projects in a faster, more efficient and more accurate manner.
Remote sensing and GIS have emerged as powerful tools to deal with various aspects of flood management in prevention, preparedness and relief management of flood disaster. GIS facilitates integration of spatial and non-spatial data such as rainfall and stream flows, river cross sections and profiles, and river basin characteristics, as well as other information such as historical flood maps, infrastructures, land use, and social and economic data. Such data sets are critical for the in-depth analysis and management of floods.
Remote sensing technologies have great potential in overcoming the information void in the Caribbean region. The observation, mapping, and representation of Earth’s surface have provided effective and timely information for monitoring floods and their effect. The potential of new air- and space-borne imaging technologies for improving hazard evaluation and risk reduction is continually being explored. They are relatively inexpensive and have the ability to provide information on several parameters that are crucial to flood mapping and monitoring.
Application of Remote Sensing & GIS in Disaster ManagementAjayPatro
Disasters disrupt communities and cause losses that exceed their ability to cope. They are often caused by natural hazards but can have human origins. Remote sensing using tools like GIS and spatial analysis helps manage disasters at various stages: it assesses hazard/vulnerability, plans evacuation routes and emergency operations, aids search/rescue, and organizes damage/reconstruction data. These tools have made emergency response and management more efficient.
This document discusses the use of Geographic Information Systems (GIS) in risk management and disaster response. It defines GIS as a system for storing, analyzing, and presenting spatially-referenced data in layers. The document then discusses disaster management and risk assessment methods before explaining how GIS can help with risk assessment for earthquakes, floods, and epidemiology by providing spatial data and modeling capabilities. The conclusion states that GIS is an important tool for risk management by facilitating data collection and risk simulation to aid emergency preparation and response.
The document provides an outline for a training on risk assessment and risk management in development planning. It discusses defining key terms like hazards, exposure, vulnerability and risk. The risk assessment process involves identifying risks through developing scenarios, analyzing the probability and impacts of risks, and mapping risks. Risk assessment aims to support informed decision making at various timescales and spatial levels to improve disaster risk reduction and management.
Multi-scale vulnerability assessment for adaptation planningTashina Esteves
This document presents a multi-scale vulnerability assessment approach to identify and prioritize the most vulnerable districts, villages, and households in Karnataka State, India to current climate variability and future climate change impacts. The assessment was conducted at the district level for all 30 districts in Karnataka, at the village level for 1220 villages in Chikballapur district, and at the household level for two villages in Chikballapur district. The assessment identified low levels of education and skills as the dominant contributing factors to vulnerability at the district, village, and household levels. At the village and household levels, a lack of income diversification and livelihood support institutions were also key drivers of vulnerability. The multi-scale approach facilitates identifying and prior
This document summarizes a presentation on urban resilience in Nigeria given by Simon Gusah. Some key points:
1. It discusses the concepts of sustainability and resilience, noting they have similar timespans but are not identical, with resilience being a component of sustainability.
2. It provides background on Nigeria's rapidly growing population which is projected to double every 25 years, presenting challenges but also opportunities. Climate change and conflicts also threaten Nigeria.
3. The presentation examines the 100 Resilient Cities initiative's framework and Nigeria's opportunity to rebuild the northeast in a resilient manner following the Boko Haram insurgency.
4. Recommendations include embracing the informal sector and learning from traditional governance models
Country analysis explination updated 010108URRworkshop
The Regional Disaster Management Unit of the International Federation analyzed the disaster management capacity and vulnerability of 11 countries in Southeast Asia. They used 13 indicators across four categories - hazard risk, vulnerability, response capacity, and disaster risk reduction capacity. Each country was given a rating based on scores assigned to the 13 indicators. The analysis will help the Regional Disaster Management Unit plan its activities for 2008-2009 and identify opportunities for collaboration with other organizations to strengthen capacity and reduce disaster risk in the region.
This presentations explains the main definitions related to flood risk management. and how to assess the Vulnerability of the society towards flood dangers. and flood risk analysis process. and gives some examples of flood risk assessment applications.
DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...IJMIT JOURNAL
Developing countries lacking technology infrastructures experience most disasters such as tsunami, hurricane Katrina, earthquakes. Even though, many lives are saved in developed countries through the use of high-level or sophisticated technology, only the technology that is easy to use, inexpensive, durable and field-tested should be introduced and used during the relief operation. The effect of climate change andrapid population growth are probably exposed people inhabiting areas to substantial environmental risks. The authors highlight and identify current practices, particularities, and challenges in earthquakes relief operations with the aims of reviewing the roles E-Service and Mobile Technology tools in real-life situations and practices could do to help in disaster operations. This study focuses on victims of earthquakes worldwide. The study will review and provide insights into the roles of E-Service and Mobile Technologies in earthquakes relief operations and how the internally displaced person could benefit from these services. The limitations of these services will be discussed and how the technology could be used to further predict natural disaster such as earthquakes is also considered.
DIGITAL SOCIETY : A REVIEW OF E-SERVICE AND MOBILE TECHNOLOGY IN EARTHQUAKES ...IJMIT JOURNAL
Developing countries lacking technology infrastructures experience most disasters such as tsunami,
hurricane Katrina, earthquakes. Even though, many lives are saved in developed countries through the use
of high-level or sophisticated technology, only the technology that is easy to use, inexpensive, durable and
field-tested should be introduced and used during the relief operation. The effect of climate change and
rapid population growth are probably exposed people inhabiting areas to substantial environmental risks.
The authors highlight and identify current practices, particularities, and challenges in earthquakes relief
operations with the aims of reviewing the roles E-Service and Mobile Technology tools in real-life
situations and practices could do to help in disaster operations. This study focuses on victims of
earthquakes worldwide. The study will review and provide insights into the roles of E-Service and Mobile
Technologies in earthquakes relief operations and how the internally displaced person could benefit from
these services. The limitations of these services will be discussed and how the technology could be used to
further predict natural disaster such as earthquakes is also considered.
Digital society a review of e service and mobile technology in earthquakes re...IJMIT JOURNAL
This document provides a literature review of the roles of e-service and mobile technology in earthquake relief operations. It discusses how GPS, Bluetooth, VSAT, RFID, and GIS technologies can help to track affected individuals, facilitate emergency response, enable communication when infrastructure is damaged, identify people and objects, and monitor hazardous areas. The review finds that these technologies can improve relief efforts by expediting the resettlement of displaced persons and aiding organizations responding to disasters. However, it notes limitations that must be addressed and ways technology could further help predict natural disasters.
Study of Natural Disaster and its Impact in Uttarakhandijsrd.com
This document summarizes a study on natural disasters and their impacts in the Indian state of Uttarakhand. It discusses several types of natural disasters that frequently occur in Uttarakhand, including floods, landslides, cloudbursts, forest fires, and avalanches. The study focuses on a devastating flood in June 2013 caused by heavy rainfall and glacier melting that killed over 5,700 people. Graphs show death tolls and occurrences of earthquakes, flash floods, avalanches, and cloudbursts by year. The conclusion states that while disasters cannot be stopped, their impacts can be minimized through preparedness, education, post-disaster relief, and rebuilding infrastructure to be more resilient.
This document summarizes the design and components of a small-scale unmanned aerial vehicle (UAV). It describes the required hardware including a brushless motor, electronic speed controller, transmitter and receiver, servos, and battery. It provides block diagrams of the system design and discusses the materials used to build the airframe. Applications of UAVs include aerial surveillance, scientific research, search and rescue operations, and more. Future developments may allow UAVs to perform combat missions and aerial resupply.
This document discusses service management strategies for next generation networks. It proposes a distributed algorithm using a token ring approach. The algorithm establishes a logical ring within the core network consisting of all Access Network Servers. When a mobile host submits a request, its local Access Network Server adds it to a request queue. When the token visits that server, pending requests are moved to a grant queue and serviced. If the mobile host has migrated, search strategies are used to locate and deliver the token to the mobile host at its current Access Network Server. Alternatively, the network can be partitioned into areas each managed by a proxy server, with the token circulating among proxies to service requests from mobile hosts in their respective areas.
Heart disease is the leading cause of death in Americans and can strike suddenly, separating people from their loved ones. However, heart disease can frequently be prevented by maintaining a healthy lifestyle. Providence offers resources to help assess heart health risks and take steps toward prevention.
This document summarizes an article from the International Journal of Information Technology & Management Information System that proposes a lossless compression algorithm for genetic sequences based on searching for exact repeats, reversals, complements, and palindromes. The algorithm performs compression in two passes: first replacing substrings with ASCII characters to create an online library file, then further compressing the output using Huffman coding. Experimental results show this approach achieves better compression ratios than other methods on benchmark DNA sequences and artificially generated random sequences. The algorithm could help compress genomic data more efficiently and potentially enhance data security when transmitting sequences over networks.
A New Approach of Protein Sequence Compression using Repeat Reduction and ASC...IOSR Journals
1. The document presents a new approach for protein sequence compression based on repeat reduction and ASCII replacement.
2. It analyzes repeats in a protein sequence, replaces repeats with ASCII characters, and encodes the sequence to compress it into a zipped file.
3. Experimental results on protein sequences from MJ, HI, and HS show that the proposed method achieves an average compression ratio of 2.89 bits per symbol, outperforming an existing dictionary-based approach.
This document discusses optimization techniques that can be applied to synchronous generators. It provides an overview of various optimization algorithms including ant colony optimization, artificial bee colony algorithm, genetic algorithm, and particle swarm optimization. These algorithms are surveyed as potential methods for modeling synchronous generators through parameter estimation and for solving problems like optimal power flow. The document also provides context on why optimization is important for synchronous generators and power systems in areas like accurate modeling, parameter estimation, and addressing challenges like uncertainty.
Searching is one of the important operations in computer science. Retrieving information from
huge databases takes a lot of processing time to get the results. The user has to wait till the completion
of processing to find whether search is successful or not. In this research paper, it provides a detailed
study of Binary Search and how the time complexity of Binary Search can be reduced by using Odd
Even Based Binary Search Algorithm, which is an extension of classical binary search strategy. The
worst case time complexity of Binary Search can be reduced from O(log2N) to O(log2(N-M)) where
N is total number of items in the list and M is total number of even numbers if search KEY is ODD
or M is total number of odd numbers if search KEY is EVEN. Whenever the search KEY is given, first
the KEY is determined whether it is odd or even. If given KEY is odd, then only odd numbers from
the list are searched by completely ignoring list of even numbers. If given KEY is even, then only
even numbers from the list are searched by completely ignoring list of odd numbers. The output of
Odd Even Based algorithm is given as an input to Binary Search algorithm. Using Odd Even Based
Binary Search algorithm, the worst case performances in Binary Search algorithm are converted
into best case or average case performance. Therefore, it reduces total number of comparisons, time
complexity and usage of various computer resources.
This document summarizes a study assessing the cyber risk to transportation industrial control systems. The study involved auditing a bridge tunnel control system to understand vulnerabilities. Researchers modeled a "Stuxnet-style" cyber attack scenario involving infecting the control system with malware via USB drive. They developed an event tree to estimate the likelihood of such an attack succeeding. They then simulated the attack's effects in a transportation model to analyze regional impact. The study helped raise awareness of cyber risks with operators and leaders. More such assessments are needed to further understanding of vulnerabilities.
Risk-Sensitive Mitigation Planning in Seismically Vulnerable Urban Areas civej
Over the past decade, several number of commercial and non-commercial catastrophe risk models have been developed to assess the financial losses caused by natural catastrophes including earthquakes. The output of such models are in different sectors such as disaster risks management, financial institutions and also research centers. Generally, due to great amount of inherent uncertainty in these models the direct
deployment of the results by the user is a tough process. As an example, in disaster risk reduction sector a common missing link in this context is a decision-support medium that interprets the risk analysis outputs to the non-technical stakeholders. To overcome this problem, user-friendly analytical tools can be
employed to translate the disaster risk analysis results into an understandable language for the potential stakeholder user. Presenting two models, attempts to address two different examples of such decisionsupport tools. The first model, UERI, is structured to incorporate several urban risk components (hazard, physical vulnerability, disaster management facilities and human exposure) based on a number earthquake
risk indicators. The second tooles the use of a mixed integer quadratic programming (MIQP) model to finds an opt spatil land-use allocation patter a given urban environment area.
Both models are capable of assisting decision-makers in using the output results of existing damage and loss estimation methodologies and also facilitating the process of risk reduction planning by providing basic solutions for stakeholders. The proposed models have been applied to a vulnerable urban area in Tehran, Iran and their performances have been examined.
RISK-SENSITIVE MITIGATION PLANNING IN SEISMICALLY VULNERABLE URBAN AREAScivej
Over the past decade, several number of commercial and non-commercial catastrophe risk models havebeen developed to assess the financial losses caused by natural catastrophes including earthquakes. Theoutput of such models are in different sectors such as disaster risks management, financial institutions and
also research centers. Generally, due to great amount of inherent uncertainty in these models the direct
deployment of the results by the user is a tough process. As an example, in disaster risk reduction sector a
common missing link in this context is a decision-support medium that interprets the risk analysis outputs
to the non-technical stakeholders. To overcome this problem, user-friendly analytical tools can be
employed to translate the disaster risk analysis results into an understandable language for the potential
stakeholder user. Presenting two models, attempts to address two different examples of such decisionsupport
tools. The first model, UERI, is structured to incorporate several urban risk components (hazard,physical vulnerability, disaster management facilities and human exposure) based on a number earthquake
risk indicators. The second tooles the use of a mixed integer quadratic programming (MIQP) model to
finds an opt spatil land-use allocation patter a given urban environment area.
Both models are capable of assisting decision-makers in using the output results of existing damage and
loss estimation methodologies and also facilitating the process of risk reduction planning by providing
basic solutions for stakeholders. The proposed models have been applied to a vulnerable urban area in
Tehran, Iran and their performances have been examined.
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.
Need for Disaster Risk Resilience: A case of IndiaIRJET Journal
This document discusses the need for disaster risk resilience in Indian cities. It notes that India experiences frequent natural disasters like earthquakes, floods, cyclones, and droughts due to its large size, climate variability, and vulnerability. Disasters have caused significant loss of life and economic damage. Rapid urbanization is increasing disaster risk as more people and infrastructure are concentrated in urban areas, many of which have poor planning and lack resilience. The document argues that India must incorporate resilience planning into urban development to reduce vulnerability and build capacity to withstand future disasters and climate change impacts.
. Schuster Range extended abstract IDRC2016_finalSandra Schuster
This document discusses integrated approaches to climate risk management and risk transfer to increase urban resilience. It argues that insurance can help soften financial impacts of disasters, increase effectiveness of contingency plans, and encourage risk reduction measures. The document outlines a project to develop an integrated climate risk management concept for urban areas in China that combines risk analysis, prevention, preparedness, and risk transfer solutions like insurance. The goal is to provide timely financial resources after disasters and incentivize measures that build long-term resilience.
ROLE OF TECHNOLOGY TO ESTABLISH COMMUNICATION IN NATURAL DISASTERSAM Publications,India
Disaster does not come with prior notice. The term ‘Disaster’ is widely used to refer to as any incident, manmade accident, or natural occurrence that could affect the functioning of the project. We do not assess the impact of upcoming disaster. There are two type of disaster Natural and Manmade disaster. Disasters have resentfully affected not only humans but also animals. Disaster causes mass casualty of construction and loss of economy. It impacts on the economy of the country. In the last decade, natural disasters claimed 79,000 lives each year and affected more than 200 million people, with casualties amounting to almost US $ 70 billion per year. Disaster also affected the climate, and hence adversely affecting local or regional climate. Manmade disaster causes through any big accident that occurs indoor or outdoor.
A MOBILE DISASTER MANAGEMENT SYSTEM USING THE ANDROID TECHNOLOGYAM Publications
The numbers countries in the world vulnerable to natural hazards because of its geographic location. It
also lacks an efficient disaster management system that will help in times of need. One common scenario during
disasters is that the activity of rescue and relief is not well-coordinated. For this reason, there is a need for a system
that will help in the efficient provision of rescue and relief to disaster-affected areas. Since the use of smart phones is
gaining interest in people, the disaster management system was implemented as a smart phone application using
Google’s Android operating system. The disaster management system Android application known as MyDisasterDroid
determines the optimum route along different geographical locations that the volunteers and rescuers need to take in
order to serve the most number of people and provide maximum coverage of the area in the shortest possible time.
Genetic algorithm was applied for optimization and different parameters were varied to determine the most optimum
route.
GIS-3D Analysis of Susceptibility Landslide Disaster in Upstream Area of Jene...AM Publications
The assessment of landslide hazard and risk has become a topic of major interest for both geoscientists and engineering professionals as well as for local communities and administrations in many parts of the world. Recently, Geographic Information Systems (GIS), with their excellent spatial data processing capacity, have attracted great attention in natural disaster assessment. In this paper, an assessment of landslide hazard at Upper Area of Jeneberang Watershed has been studied using GIS technology. By simulating the potential landslide according the minimum safety factor value using GIS, it can be expected that great contribution as a basic decision making for many prevention works before future landslide occurs at upstream area of Jeneberang River Watershead, South Sulawesi, Indonesia
Contributors to the frequency of intense climate disasters in asia pacific co...Mario Robusti
The frequency of intense natural disasters increased notably from the 1970s to the 2000s. Around half of these events happen in Asia and Pacific Area. Intense hydrometeorological disasters and climatological disasters accounted for most of the worldwide increase in natural disasters.The Springer.com Open Access Science and Media website publish a new paper about disaster prevention and climate action. This pubblication is an indipendent evalutaion at the Asian Development Bank.
URBAN FLOOD SUSCEPTIBILITY MAP OF CHENNAI - GIS AND RANDOM FOREST METHODIRJET Journal
This document summarizes a study that created an urban flood susceptibility map of Chennai, India using GIS and the random forest machine learning method. Eleven factors like elevation, land use, rainfall, and distance from rivers were used as inputs to the random forest model. 300 historic flood locations and 300 non-flood locations were collected and used to train and test the model. The random forest model achieved 95.5% accuracy in predicting flood locations. The output was used to classify the study area into low and high flood susceptibility zones to assist with flood management and mitigation.
Week One – Risk and the All Hazards ApproachIt seems logical for.docxphilipnelson29183
Week One – Risk and the All Hazards Approach
It seems logical for a course dedicated to the examination of risks, threats and consequences to begin the first segment with addressing the definitions of those terms. They are not as well understood as some might think. So, what are risks, threats and consequences, and how do they apply to the homeland security field?
Let us first establish that homeland security is not a sole function or responsibility of the federal government. It is a collaborative effort of all levels of governments (federal, state, tribal, county and municipal), the private sector, non-governmental organizations (NGOs) such as the American Red Cross, as well as the public at large. As we look at risk, threats and consequences, we will do so from the perspective of these various levels of government and throughout the entire breath of both the public and private sectors (DHS, 2011).
So exactly what is risk? The Department of Homeland Security (DHS) defines risk in the 2014 Quadrennial Homeland Security Review as a, “function of the likelihood and potential impacts of different homeland security threats and hazards” (DHS, 2014, p. 15). In order to address the issue of risk in a planned and proactive manner, a formula has been developed by DHS and is utilized by those within the homeland security enterprise. This formula is written as: R (risk) = T (threat) x V (vulnerability) x C (consequence). This formula has been transformed and updated throughout the years in order to address the ever-changing landscape of homeland security. Yet, even in its current form, many feel it has an inherent difficulty in that it implies a strict mathematical function can be taken to address the many hazards our country faces; wherein numeric representations of threat, vulnerability and consequences are simply multiplied with one another. No such function exists; but the formula does serve a very useful purpose in displaying the concept that risk is a composite element of various components and factors that must be considered both independently and collectively. Therefore, by combining this formula and the definition noted earlier, we see that risk is determined by the likelihood that a threat (or hazard) will occur, and by the impact that threat will have on a community. In addition, impact (also defined as consequences) is directly impacted by a community’s vulnerability to that threat; where areas of weakness are in turn determined by a community’s ability to protect itself against the threat, respond to it when necessary, as well as recovering from such an incident in both an effective, expedient, and efficient manner.
When looking at risk from the perspective of a specific geographic location (town, municipality, county, state, nation), risk is simply a composite of all of the threats, vulnerabilities and capabilities that are found in that location (hereto noted as community). Therefore, an appropriate point in which to start i.
An overarching process to evaluate risks associated with infrastructure netwo...Infra Risk
International Conference Analysis and Management of Changing Risks for Natural Hazards. November 18-19, 2014, Padua, Italy.
‘An overarching process to evaluate risks associated with infrastructure networks due to natural hazards’ (extended abstract)
Hackl, J., Adey, B.T., Heitzler, M., Iosifescu, I., Hurni, L.
Fuzzy Logic Modeling Approach for Risk Area Assessment for Hazardous Material...drboon
The assessment of area in risk of HazMat transportation is very beneficial for the planning of the management of such area. We prioritized the affected area using HazMat-Risk Area Index (HazMatRAI) developed on the basis of Fuzzy Logic. The purpose of such development is to reduce limits of the criteria used for the assessment which we found exist when displaying data related to Hazmat represented by iceberg. In this regard, we categorized type of Membership Function according to Fuzzy set method in order to match the existing criteria, both solid and abstract ones. The conditions of Fuzzy Number and Characteristic are used respectively so that all risk levels are covered. However, the displaying of HazMat-Risk Area Index needs weighing of each criterion that is used for the assessment which significance of each level varies. We used Saaty’s Analytic Hierarchy Process (AHP) to establish weighing value obtained from such assessment. Therefore it is beneficial for the preparation of area with HazMatRAI value is high, hence proper preparation for the management in case of critical situation.
Mapping social vulnerability to flood hazard in Norfolk%2C EnglandKurtis Garbutt
This document summarizes a study that created an open-source vulnerability index (OS-VI) to map social vulnerability to flood hazards in Norfolk, England. The researchers used a deductive indicator-based approach incorporating indicators of vulnerability and flood risk to determine an area's social vulnerability. Unlike some indices, the OS-VI included measures of accessibility to key services like healthcare to account for the loss of capabilities during floods. It was designed for national scale analysis using open-source data and tools. The document reviews literature on vulnerability assessments and indicator selection. It presents the OS-VI methodology and maps vulnerability in Norfolk, including an analysis of accessibility to hospitals.
Research Project: Multihazard and vulnerability in the seismic context of the...guest76176b
The document summarizes a research project on assessing urban vulnerability to seismic hazard in Bucharest, Romania through spatial multi-criteria analysis. The project evaluated social, economic, physical and environmental vulnerability factors. It also considered capacity factors like accessibility to emergency services. GIS-based modeling was used to produce composite vulnerability indexes and maps showing spatial patterns of risk. The most vulnerable areas were found to be the historic city center due to older building stock and environmental factors.
This document discusses infrastructure resilience and summarizes Dr. Sarah Dunn's research in this area. Her research aims to improve community resilience to hazards by developing techniques to identify vulnerable infrastructure systems and protect them. She uses network analysis and fragility curves to estimate damage from events like storms to electricity networks. The research forecasts consequences to infrastructure based on hazard intensity, exposure data, and fragility curves derived from historical fault data. This allows identifying areas most likely to be impacted and informing contingency planning.
This document discusses various concepts related to hazards, disasters, vulnerability, exposure, and risk. It provides examples, definitions, and explanations for different terminology. Some key points covered include:
- A hazard only becomes a disaster when it negatively impacts human lives and properties. Vulnerability, defined as characteristics that make something susceptible to hazards, determines the level of impact.
- Factors like physical exposure, socioeconomic status, and demographics contribute to a community's overall vulnerability. Marginalized groups are especially at risk due to lack of resources and ability to respond.
- Structures can be engineered, non-engineered, or owner-built, and factors like location, design complexity, and height influence
A Review on Wireless Sensor Network Protocol for Disaster ManagementEditor IJCATR
Disasters management and emergency services
warning , landslide monitoring, earthquake rescue operation , volcano monitoring, and fire protection. Timely report and res
especially important for reducing the number of sufferers and damages from incidents. In such cases, the communicati
may not function well. This makes it hard to gain information about the incident, and then to respond to the incident rapi
properly. Sensor networks can provide a good solution to these problems through actively monitoring and
emergency incidents to base station. Our objective on this topic aim to study different sensor network protocols to resolve
technical problems in this area, thus identify the energy efficient wireless sensor network archite
disaster management . We also analyze the WSN protocol based on metrics such as Energy efficiency, location awareness, network
lifetime. It furthermore focuses the advantages and performance for disaster management.
Submission Deadline: 30th September 2022
Acceptance Notification: Within Three Days’ time period
Online Publication: Within 24 Hrs. time Period
Expected Date of Dispatch of Printed Journal: 5th October 2022
MODELING AND ANALYSIS OF SURFACE ROUGHNESS AND WHITE LATER THICKNESS IN WIRE-...IAEME Publication
White layer thickness (WLT) formed and surface roughness in wire electric discharge turning (WEDT) of tungsten carbide composite has been made to model through response surface methodology (RSM). A Taguchi’s standard Design of experiments involving five input variables with three levels has been employed to establish a mathematical model between input parameters and responses. Percentage of cobalt content, spindle speed, Pulse on-time, wire feed and pulse off-time were changed during the experimental tests based on the Taguchi’s orthogonal array L27 (3^13). Analysis of variance (ANOVA) revealed that the mathematical models obtained can adequately describe performance within the parameters of the factors considered. There was a good agreement between the experimental and predicted values in this study.
A STUDY ON THE REASONS FOR TRANSGENDER TO BECOME ENTREPRENEURSIAEME Publication
The study explores the reasons for a transgender to become entrepreneurs. In this study transgender entrepreneur was taken as independent variable and reasons to become as dependent variable. Data were collected through a structured questionnaire containing a five point Likert Scale. The study examined the data of 30 transgender entrepreneurs in Salem Municipal Corporation of Tamil Nadu State, India. Simple Random sampling technique was used. Garrett Ranking Technique (Percentile Position, Mean Scores) was used as the analysis for the present study to identify the top 13 stimulus factors for establishment of trans entrepreneurial venture. Economic advancement of a nation is governed upon the upshot of a resolute entrepreneurial doings. The conception of entrepreneurship has stretched and materialized to the socially deflated uncharted sections of transgender community. Presently transgenders have smashed their stereotypes and are making recent headlines of achievements in various fields of our Indian society. The trans-community is gradually being observed in a new light and has been trying to achieve prospective growth in entrepreneurship. The findings of the research revealed that the optimistic changes are taking place to change affirmative societal outlook of the transgender for entrepreneurial ventureship. It also laid emphasis on other transgenders to renovate their traditional living. The paper also highlights that legislators, supervisory body should endorse an impartial canons and reforms in Tamil Nadu Transgender Welfare Board Association.
BROAD UNEXPOSED SKILLS OF TRANSGENDER ENTREPRENEURSIAEME Publication
Since ages gender difference is always a debatable theme whether caused by nature, evolution or environment. The birth of a transgender is dreadful not only for the child but also for their parents. The pain of living in the wrong physique and treated as second class victimized citizen is outrageous and fully harboured with vicious baseless negative scruples. For so long, social exclusion had perpetuated inequality and deprivation experiencing ingrained malign stigma and besieged victims of crime or violence across their life spans. They are pushed into the murky way of life with a source of eternal disgust, bereft sexual potency and perennial fear. Although they are highly visible but very little is known about them. The common public needs to comprehend the ravaged arrogance on these insensitive souls and assist in integrating them into the mainstream by offering equal opportunity, treat with humanity and respect their dignity. Entrepreneurship in the current age is endorsing the gender fairness movement. Unstable careers and economic inadequacy had inclined one of the gender variant people called Transgender to become entrepreneurs. These tiny budding entrepreneurs resulted in economic transition by means of employment, free from the clutches of stereotype jobs, raised standard of living and handful of financial empowerment. Besides all these inhibitions, they were able to witness a platform for skill set development that ignited them to enter into entrepreneurial domain. This paper epitomizes skill sets involved in trans-entrepreneurs of Thoothukudi Municipal Corporation of Tamil Nadu State and is a groundbreaking determination to sightsee various skills incorporated and the impact on entrepreneurship.
DETERMINANTS AFFECTING THE USER'S INTENTION TO USE MOBILE BANKING APPLICATIONSIAEME Publication
The banking and financial services industries are experiencing increased technology penetration. Among them, the banking industry has made technological advancements to better serve the general populace. The economy focused on transforming the banking sector's system into a cashless, paperless, and faceless one. The researcher wants to evaluate the user's intention for utilising a mobile banking application. The study also examines the variables affecting the user's behaviour intention when selecting specific applications for financial transactions. The researcher employed a well-structured questionnaire and a descriptive study methodology to gather the respondents' primary data utilising the snowball sampling technique. The study includes variables like performance expectations, effort expectations, social impact, enabling circumstances, and perceived risk. Each of the aforementioned variables has a major impact on how users utilise mobile banking applications. The outcome will assist the service provider in comprehending the user's history with mobile banking applications.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
VOICE BASED ATM FOR VISUALLY IMPAIRED USING ARDUINOIAEME Publication
The prototype of a voice-based ATM for visually impaired using Arduino is to help people who are blind. This uses RFID cards which contain users fingerprint encrypted on it and interacts with the users through voice commands. ATM operates when sensor detects the presence of one person in the cabin. After scanning the RFID card, it will ask to select the mode like –normal or blind. User can select the respective mode through voice input, if blind mode is selected the balance check or cash withdraw can be done through voice input. Normal mode procedure is same as the existing ATM.
IMPACT OF EMOTIONAL INTELLIGENCE ON HUMAN RESOURCE MANAGEMENT PRACTICES AMONG...IAEME Publication
There is increasing acceptability of emotional intelligence as a major factor in personality assessment and effective human resource management. Emotional intelligence as the ability to build capacity, empathize, co-operate, motivate and develop others cannot be divorced from both effective performance and human resource management systems. The human person is crucial in defining organizational leadership and fortunes in terms of challenges and opportunities and walking across both multinational and bilateral relationships. The growing complexity of the business world requires a great deal of self-confidence, integrity, communication, conflict and diversity management to keep the global enterprise within the paths of productivity and sustainability. Using the exploratory research design and 255 participants the result of this original study indicates strong positive correlation between emotional intelligence and effective human resource management. The paper offers suggestions on further studies between emotional intelligence and human capital development and recommends for conflict management as an integral part of effective human resource management.
VISUALISING AGING PARENTS & THEIR CLOSE CARERS LIFE JOURNEY IN AGING ECONOMYIAEME Publication
Our life journey, in general, is closely defined by the way we understand the meaning of why we coexist and deal with its challenges. As we develop the "inspiration economy", we could say that nearly all of the challenges we have faced are opportunities that help us to discover the rest of our journey. In this note paper, we explore how being faced with the opportunity of being a close carer for an aging parent with dementia brought intangible discoveries that changed our insight of the meaning of the rest of our life journey.
A STUDY ON THE IMPACT OF ORGANIZATIONAL CULTURE ON THE EFFECTIVENESS OF PERFO...IAEME Publication
The main objective of this study is to analyze the impact of aspects of Organizational Culture on the Effectiveness of the Performance Management System (PMS) in the Health Care Organization at Thanjavur. Organizational Culture and PMS play a crucial role in present-day organizations in achieving their objectives. PMS needs employees’ cooperation to achieve its intended objectives. Employees' cooperation depends upon the organization’s culture. The present study uses exploratory research to examine the relationship between the Organization's culture and the Effectiveness of the Performance Management System. The study uses a Structured Questionnaire to collect the primary data. For this study, Thirty-six non-clinical employees were selected from twelve randomly selected Health Care organizations at Thanjavur. Thirty-two fully completed questionnaires were received.
Living in 21st century in itself reminds all of us the necessity of police and its administration. As more and more we are entering into the modern society and culture, the more we require the services of the so called ‘Khaki Worthy’ men i.e., the police personnel. Whether we talk of Indian police or the other nation’s police, they all have the same recognition as they have in India. But as already mentioned, their services and requirements are different after the like 26th November, 2008 incidents, where they without saving their own lives has sacrificed themselves without any hitch and without caring about their respective family members and wards. In other words, they are like our heroes and mentors who can guide us from the darkness of fear, militancy, corruption and other dark sides of life and so on. Now the question arises, if Gandhi would have been alive today, what would have been his reaction/opinion to the police and its functioning? Would he have some thing different in his mind now what he had been in his mind before the partition or would he be going to start some Satyagraha in the form of some improvement in the functioning of the police administration? Really these questions or rather night mares can come to any one’s mind, when there is too much confusion is prevailing in our minds, when there is too much corruption in the society and when the polices working is also in the questioning because of one or the other case throughout the India. It is matter of great concern that we have to thing over our administration and our practical approach because the police personals are also like us, they are part and parcel of our society and among one of us, so why we all are pin pointing towards them.
A STUDY ON TALENT MANAGEMENT AND ITS IMPACT ON EMPLOYEE RETENTION IN SELECTED...IAEME Publication
The goal of this study was to see how talent management affected employee retention in the selected IT organizations in Chennai. The fundamental issue was the difficulty to attract, hire, and retain talented personnel who perform well and the gap between supply and demand of talent acquisition and retaining them within the firms. The study's main goals were to determine the impact of talent management on employee retention in IT companies in Chennai, investigate talent management strategies that IT companies could use to improve talent acquisition, performance management, career planning and formulate retention strategies that the IT firms could use. The respondents were given a structured close-ended questionnaire with the 5 Point Likert Scale as part of the study's quantitative research design. The target population consisted of 289 IT professionals. The questionnaires were distributed and collected by the researcher directly. The Statistical Package for Social Sciences (SPSS) was used to collect and analyse the questionnaire responses. Hypotheses that were formulated for the various areas of the study were tested using a variety of statistical tests. The key findings of the study suggested that talent management had an impact on employee retention. The studies also found that there is a clear link between the implementation of talent management and retention measures. Management should provide enough training and development for employees, clarify job responsibilities, provide adequate remuneration packages, and recognise employees for exceptional performance.
ATTRITION IN THE IT INDUSTRY DURING COVID-19 PANDEMIC: LINKING EMOTIONAL INTE...IAEME Publication
Globally, Millions of dollars were spent by the organizations for employing skilled Information Technology (IT) professionals. It is costly to replace unskilled employees with IT professionals possessing technical skills and competencies that aid in interconnecting the business processes. The organization’s employment tactics were forced to alter by globalization along with technological innovations as they consistently diminish to remain lean, outsource to concentrate on core competencies along with restructuring/reallocate personnel to gather efficiency. As other jobs, organizations or professions have become reasonably more appropriate in a shifting employment landscape, the above alterations trigger both involuntary as well as voluntary turnover. The employee view on jobs is also afflicted by the COVID-19 pandemic along with the employee-driven labour market. So, having effective strategies is necessary to tackle the withdrawal rate of employees. By associating Emotional Intelligence (EI) along with Talent Management (TM) in the IT industry, the rise in attrition rate was analyzed in this study. Only 303 respondents were collected out of 350 participants to whom questionnaires were distributed. From the employees of IT organizations located in Bangalore (India), the data were congregated. A simple random sampling methodology was employed to congregate data as of the respondents. Generating the hypothesis along with testing is eventuated. The effect of EI and TM along with regression analysis between TM and EI was analyzed. The outcomes indicated that employee and Organizational Performance (OP) were elevated by effective EI along with TM.
INFLUENCE OF TALENT MANAGEMENT PRACTICES ON ORGANIZATIONAL PERFORMANCE A STUD...IAEME Publication
By implementing talent management strategy, organizations would have the option to retain their skilled professionals while additionally working on their overall performance. It is the course of appropriately utilizing the ideal individuals, setting them up for future top positions, exploring and dealing with their performance, and holding them back from leaving the organization. It is employee performance that determines the success of every organization. The firm quickly obtains an upper hand over its rivals in the event that its employees having particular skills that cannot be duplicated by the competitors. Thus, firms are centred on creating successful talent management practices and processes to deal with the unique human resources. Firms are additionally endeavouring to keep their top/key staff since on the off chance that they leave; the whole store of information leaves the firm's hands. The study's objective was to determine the impact of talent management on organizational performance among the selected IT organizations in Chennai. The study recommends that talent management limitedly affects performance. On the off chance that this talent is appropriately management and implemented properly, organizations might benefit as much as possible from their maintained assets to support development and productivity, both monetarily and non-monetarily.
A STUDY OF VARIOUS TYPES OF LOANS OF SELECTED PUBLIC AND PRIVATE SECTOR BANKS...IAEME Publication
Banking regulations act of India, 1949 defines banking as “acceptance of deposits for the purpose of lending or investment from the public, repayment on demand or otherwise and withdrawable through cheques, drafts order or otherwise”, the major participants of the Indian financial system are commercial banks, the financial institution encompassing term lending institutions. Investments institutions, specialized financial institution and the state level development banks, non banking financial companies (NBFC) and other market intermediaries such has the stock brokers and money lenders are among the oldest of the certain variants of NBFC and the oldest market participants. The asset quality of banks is one of the most important indicators of their financial health. The Indian banking sector has been facing severe problems of increasing Non- Performing Assets (NPAs). The NPAs growth directly and indirectly affects the quality of assets and profitability of banks. It also shows the efficiency of banks credit risk management and the recovery effectiveness. NPA do not generate any income, whereas, the bank is required to make provisions for such as assets that why is a double edge weapon. This paper outlines the concept of quality of bank loans of different types like Housing, Agriculture and MSME loans in state Haryana of selected public and private sector banks. This study is highlighting problems associated with the role of commercial bank in financing Small and Medium Scale Enterprises (SME). The overall objective of the research was to assess the effect of the financing provisions existing for the setting up and operations of MSMEs in the country and to generate recommendations for more robust financing mechanisms for successful operation of the MSMEs, in turn understanding the impact of MSME loans on financial institutions due to NPA. There are many research conducted on the topic of Non- Performing Assets (NPA) Management, concerning particular bank, comparative study of public and private banks etc. In this paper the researcher is considering the aggregate data of selected public sector and private sector banks and attempts to compare the NPA of Housing, Agriculture and MSME loans in state Haryana of public and private sector banks. The tools used in the study are average and Anova test and variance. The findings reveal that NPA is common problem for both public and private sector banks and is associated with all types of loans either that is housing loans, agriculture loans and loans to SMES. NPAs of both public and private sector banks show the increasing trend. In 2010-11 GNPA of public and private sector were at same level it was 2% but after 2010-11 it increased in many fold and at present there is GNPA in some more than 15%. It shows the dark area of Indian banking sector.
EXPERIMENTAL STUDY OF MECHANICAL AND TRIBOLOGICAL RELATION OF NYLON/BaSO4 POL...IAEME Publication
An experiment conducted in this study found that BaSO4 changed Nylon 6's mechanical properties. By changing the weight ratios, BaSO4 was used to make Nylon 6. This Researcher looked into how hard Nylon-6/BaSO4 composites are and how well they wear. Experiments were done based on Taguchi design L9. Nylon-6/BaSO4 composites can be tested for their hardness number using a Rockwell hardness testing apparatus. On Nylon/BaSO4, the wear behavior was measured by a wear monitor, pinon-disc friction by varying reinforcement, sliding speed, and sliding distance, and the microstructure of the crack surfaces was observed by SEM. This study provides significant contributions to ultimate strength by increasing BaSO4 content up to 16% in the composites, and sliding speed contributes 72.45% to the wear rate
ROLE OF SOCIAL ENTREPRENEURSHIP IN RURAL DEVELOPMENT OF INDIA - PROBLEMS AND ...IAEME Publication
The majority of the population in India lives in villages. The village is the back bone of the country. Village or rural industries play an important role in the national economy, particularly in the rural development. Developing the rural economy is one of the key indicators towards a country’s success. Whether it be the need to look after the welfare of the farmers or invest in rural infrastructure, Governments have to ensure that rural development isn’t compromised. The economic development of our country largely depends on the progress of rural areas and the standard of living of rural masses. Village or rural industries play an important role in the national economy, particularly in the rural development. Rural entrepreneurship is based on stimulating local entrepreneurial talent and the subsequent growth of indigenous enterprises. It recognizes opportunity in the rural areas and accelerates a unique blend of resources either inside or outside of agriculture. Rural entrepreneurship brings an economic value to the rural sector by creating new methods of production, new markets, new products and generate employment opportunities thereby ensuring continuous rural development. Social Entrepreneurship has the direct and primary objective of serving the society along with the earning profits. So, social entrepreneurship is different from the economic entrepreneurship as its basic objective is not to earn profits but for providing innovative solutions to meet the society needs which are not taken care by majority of the entrepreneurs as they are in the business for profit making as a sole objective. So, the Social Entrepreneurs have the huge growth potential particularly in the developing countries like India where we have huge societal disparities in terms of the financial positions of the population. Still 22 percent of the Indian population is below the poverty line and also there is disparity among the rural & urban population in terms of families living under BPL. 25.7 percent of the rural population & 13.7 percent of the urban population is under BPL which clearly shows the disparity of the poor people in the rural and urban areas. The need to develop social entrepreneurship in agriculture is dictated by a large number of social problems. Such problems include low living standards, unemployment, and social tension. The reasons that led to the emergence of the practice of social entrepreneurship are the above factors. The research problem lays upon disclosing the importance of role of social entrepreneurship in rural development of India. The paper the tendencies of social entrepreneurship in India, to present successful examples of such business for providing recommendations how to improve situation in rural areas in terms of social entrepreneurship development. Indian government has made some steps towards development of social enterprises, social entrepreneurship, and social in- novation, but a lot remains to be improved.
OPTIMAL RECONFIGURATION OF POWER DISTRIBUTION RADIAL NETWORK USING HYBRID MET...IAEME Publication
Distribution system is a critical link between the electric power distributor and the consumers. Most of the distribution networks commonly used by the electric utility is the radial distribution network. However in this type of network, it has technical issues such as enormous power losses which affect the quality of the supply. Nowadays, the introduction of Distributed Generation (DG) units in the system help improve and support the voltage profile of the network as well as the performance of the system components through power loss mitigation. In this study network reconfiguration was done using two meta-heuristic algorithms Particle Swarm Optimization and Gravitational Search Algorithm (PSO-GSA) to enhance power quality and voltage profile in the system when simultaneously applied with the DG units. Backward/Forward Sweep Method was used in the load flow analysis and simulated using the MATLAB program. Five cases were considered in the Reconfiguration based on the contribution of DG units. The proposed method was tested using IEEE 33 bus system. Based on the results, there was a voltage profile improvement in the system from 0.9038 p.u. to 0.9594 p.u.. The integration of DG in the network also reduced power losses from 210.98 kW to 69.3963 kW. Simulated results are drawn to show the performance of each case.
APPLICATION OF FRUGAL APPROACH FOR PRODUCTIVITY IMPROVEMENT - A CASE STUDY OF...IAEME Publication
Manufacturing industries have witnessed an outburst in productivity. For productivity improvement manufacturing industries are taking various initiatives by using lean tools and techniques. However, in different manufacturing industries, frugal approach is applied in product design and services as a tool for improvement. Frugal approach contributed to prove less is more and seems indirectly contributing to improve productivity. Hence, there is need to understand status of frugal approach application in manufacturing industries. All manufacturing industries are trying hard and putting continuous efforts for competitive existence. For productivity improvements, manufacturing industries are coming up with different effective and efficient solutions in manufacturing processes and operations. To overcome current challenges, manufacturing industries have started using frugal approach in product design and services. For this study, methodology adopted with both primary and secondary sources of data. For primary source interview and observation technique is used and for secondary source review has done based on available literatures in website, printed magazines, manual etc. An attempt has made for understanding application of frugal approach with the study of manufacturing industry project. Manufacturing industry selected for this project study is Mahindra and Mahindra Ltd. This paper will help researcher to find the connections between the two concepts productivity improvement and frugal approach. This paper will help to understand significance of frugal approach for productivity improvement in manufacturing industry. This will also help to understand current scenario of frugal approach in manufacturing industry. In manufacturing industries various process are involved to deliver the final product. In the process of converting input in to output through manufacturing process productivity plays very critical role. Hence this study will help to evolve status of frugal approach in productivity improvement programme. The notion of frugal can be viewed as an approach towards productivity improvement in manufacturing industries.
A MULTIPLE – CHANNEL QUEUING MODELS ON FUZZY ENVIRONMENTIAEME Publication
In this paper, we investigated a queuing model of fuzzy environment-based a multiple channel queuing model (M/M/C) ( /FCFS) and study its performance under realistic conditions. It applies a nonagonal fuzzy number to analyse the relevant performance of a multiple channel queuing model (M/M/C) ( /FCFS). Based on the sub interval average ranking method for nonagonal fuzzy number, we convert fuzzy number to crisp one. Numerical results reveal that the efficiency of this method. Intuitively, the fuzzy environment adapts well to a multiple channel queuing models (M/M/C) ( /FCFS) are very well.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
AI in the Workplace Reskilling, Upskilling, and Future Work.pptxSunil Jagani
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...AlexanderRichford
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation Functions to Prevent Interaction with Malicious QR Codes.
Aim of the Study: The goal of this research was to develop a robust hybrid approach for identifying malicious and insecure URLs derived from QR codes, ensuring safe interactions.
This is achieved through:
Machine Learning Model: Predicts the likelihood of a URL being malicious.
Security Validation Functions: Ensures the derived URL has a valid certificate and proper URL format.
This innovative blend of technology aims to enhance cybersecurity measures and protect users from potential threats hidden within QR codes 🖥 🔒
This study was my first introduction to using ML which has shown me the immense potential of ML in creating more secure digital environments!
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
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Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Getting the Most Out of ScyllaDB Monitoring: ShareChat's TipsScyllaDB
ScyllaDB monitoring provides a lot of useful information. But sometimes it’s not easy to find the root of the problem if something is wrong or even estimate the remaining capacity by the load on the cluster. This talk shares our team's practical tips on: 1) How to find the root of the problem by metrics if ScyllaDB is slow 2) How to interpret the load and plan capacity for the future 3) Compaction strategies and how to choose the right one 4) Important metrics which aren’t available in the default monitoring setup.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.