Andhra Pradesh is prone to natural disasters such as cyclones, floods, and droughts. Over 44% of the state is vulnerable to storm surges, while floods affect about 15% of the state. Between 2014-2020, the state experienced numerous disasters including cyclones, floods, and drought. The presentation defines key disaster management concepts and outlines Andhra Pradesh's institutional arrangements for disaster management from the national to district levels. The National Disaster Management Authority heads disaster efforts at the national level while the State Disaster Management Authority oversees state-level efforts. Information flows from monitoring agencies to local authorities during disasters.
“A disaster can be defined as any occurrence that cause damage, ecological disruption, loss of human life, deterioration of health and health services on a scale, sufficient to warrant an extraordinary response from outside the affected community or area”. World Health Organization (WHO)
“A disaster can be defined as an occurrence either nature or man made that causes human suffering and creates human needs that victims cannot alleviate without assistance”. American Red Cross (ARC)
Disaster Management can be defined as the organization and management of resources and responsibilities for dealing with all humanitarian aspects of emergencies, in particular preparedness, response and recovery in order to lessen the impact of disasters
DISASTER MANAGEMENT- A presentation about some disasters and the ways of disaster mangement. It gives and idea abou what a disaster is, its types, causes and about the strategies of disaster management. facts about the national and international agencies involved in disaster management ae included.
“A disaster can be defined as any occurrence that cause damage, ecological disruption, loss of human life, deterioration of health and health services on a scale, sufficient to warrant an extraordinary response from outside the affected community or area”. World Health Organization (WHO)
“A disaster can be defined as an occurrence either nature or man made that causes human suffering and creates human needs that victims cannot alleviate without assistance”. American Red Cross (ARC)
Disaster Management can be defined as the organization and management of resources and responsibilities for dealing with all humanitarian aspects of emergencies, in particular preparedness, response and recovery in order to lessen the impact of disasters
DISASTER MANAGEMENT- A presentation about some disasters and the ways of disaster mangement. It gives and idea abou what a disaster is, its types, causes and about the strategies of disaster management. facts about the national and international agencies involved in disaster management ae included.
This presentation aims at communicating knowledge about the management of disasters in the best possible way. I have explained all the basic elements of disaster in the simplest form.
Disaster Management can be defined as the organization and management of resources and responsibilities for dealing with all humanitarian aspects of emergencies, in particular preparedness, response and recovery in order to lessen the impact of disasters.
This presentation aims at communicating knowledge about the management of disasters in the best possible way. I have explained all the basic elements of disaster in the simplest form.
Disaster Management can be defined as the organization and management of resources and responsibilities for dealing with all humanitarian aspects of emergencies, in particular preparedness, response and recovery in order to lessen the impact of disasters.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
2. Disaster Profile of Andhra Pradesh
• Andhra Pradesh is prone to various Natural
Disasters especially Cyclones, Storm surges,
Floods, Droughts etc.,
• The State has nine (9) districts with coast line
of 974 Kms
• About 44% of the state is prone to Strom
surges and about 29 million people in178
mandals are vulnerable to Cyclones
• 5 major rivers viz., Godavari, Krishna, Penna,
Vamsadhara and Nagavali are flowing across
the state and thus, 15% of the state is prone to
recurring floods.
• 766 villages of 112 mandals are prone to
floods.
• Drought is a common phenomenon in the state
covering about 68% of the geographical area
3. History of Disasters in the State of Andhra Pradesh
S.No Year Type of Calamity No. of Districts Affected
1 2014
Hudhud 9
Drought (Kharif Season) 7
2 2015
Heavy Rains/Floods 8
Drought ( Kharif Season) 10
3 2016
Floods 9
Drought – (Kharif Season) 8
4 2017
Floods 10
Drought - 2017-18 (Rabi Season) 5
5
2018
Unseasonal Rains/ Gales/Hailstorms 13
Heavy Rains 7
6
Titli Cyclone 3
7
Drought(Kharif Season) 9
8
Pethai Cyclone 6
9
10
2019
Drought-2018-19 (Rabi Season) 8
11 Fani Cyclone 2
12
2020
Floods 12
13 NIVAR Cyclone 6
4. WHAT IS DISASTER?
A sudden accident or a natural catastrophe that
causes great damage or loss of life.
A disaster is a sudden, calamitous event that
seriously disrupts the functioning of a community
or society and causes human, material, and
economic or environmental losses that exceed
the community's or society's ability to cope using
its own resources.
5. Hazard: A dangerous Phenomenon,
Substance ,human activity, Situation or
condition that may cause loss of life, injury or
other health impacts, property damage, loss of
livelihood and essential life supporting
systems, social and economic disruptions,
environmental damage.
Disaster Risk: The potential loss expressed in
lives, health status, livelihood, assets and
services which could to a particular community,
or a society due to the impact of a natural
disaster
DISASTER TERMINOLOGY
6. VULNERABILITY:
Vulnerability is a condition or set of conditions that reduces people’s ability
to prepare for, withstand or respond to a hazard.
Vulnerability relates to various factors
Physical factors:
Poor design and construction of buildings, unregulated land use
planning etc.,
Social factors:
Poverty and inequality, gender, Social status, disability and age etc.,
Economic factors:
The uninsured informal sector, vulnerable rural livelihood etc.,
Environmental factors
Poor environmental conditions, climate change, over consumption of
Natural resources
DISASTER TERMINOLOGY
7. CAPACITY: Capacity is the
combination of all the strengths and
resources available within
a community, society or
organization that can reduce the
level of risk or the effects of
a disaster
“Ability to perform by using
available resources to reduce
the effects of disaster”
DISASTER TERMINOLOGY
10. Natural Disasters:
Geophysical (e.g. Earthquakes, Landslides, Tsunamis and Volcanic Activity)
Hydrological (e.g. Avalanches and Floods)
Climatological (e.g. Extreme Temperatures, Drought and Cold Waves etc.,)
Meteorological (e.g. Cyclones and Storms/Wave Surges)
Biological (e.g. Epidemics and Pandemics, Pest attacks)
Man-Made Disasters :
Accidents (e.g. Industrial, Technological and Transport usually involving the production, use or transport
of hazardous materials)
Environmental Degradation
Pollution
Wars
Structural collapse
Boat capsizing
TYPES OF DISASTER
11. As per sec.2(e) of DM Act-2005,Disaster Management means a coordination and
integrated process of planning, organizing, coordinating and implementing measures
which are necessary or expedient for-
Prevention of danger or threat of any disaster
Mitigation or reduction of risk of any disaster or its severity or its consequences
Capacity building
Preparedness to deal with any disaster
Prompt response to any threatening disaster situation or disaster
Assessing the severity or magnitude of effects of any disaster
Evacuation, rescue and relief
Rehabilitation and reconstruction
WHAT IS DISASTER MANAGEMENT
12. Disaster
Management
Preparedness
Response
Recovery
Mitigation
Activities Prior to Disaster: Preparedness Plan,
Mock drills, Trainings, Early Warning Systems,
Emergency Communication Systems, Public
information/education
Activities that reduce of Check dams, Wind breaks,
Terracing, Hazard resistance buildings, Improvement
of urban systems to prevent flooding
Non-Structural measures- policies and Practices
which raise the awareness and reduce the impacts
of disaster viz., public Awareness, Amendment of
built codes, byelaws for flood mitigation, Protection
and revival of natural drains etc.,
the impact of Disaster: Structural measures-
Construction
Activities During Disaster: mobilization of
emergency services, Coordination of rescue
forces, Health care intervention, basic needs of
the community etc.,
Activities following a Disaster: immediate
restoration of water, power, communication, health
and other basic needs and long term measures
which means restoration/Returning the living
conditions of disaster-affected communities in to
normalcy.
Disaster Management Cycle
13. INSTITUTIONAL ARRANGEMENT
As per DM Act-2005: The overall coordination of Disaster Management vest with the
Ministry of Home Affairs(MHA). The fallowing institutional arrangements are made for
policy making and its implementation bodies
National Level
National Disaster Management Authority(NDMA):
National Disaster Management Authority under chairmanship of Prime Minister with
other Nine Members.
Apex body of GoI of Disaster Management
Laydown policies, Plans and guidelines for disaster management
State Governments execute the DM Plans as per the guidelines issued by the
NDMA
14. INSTITUTIONAL ARRANGEMENT
National Executive Committee(NEC):
The NEC is composed of Secretary level officers of the GOI and the Ministries of Various
Departments with the Home secretary serving as the Chairperson, ex officio.
Executive committee of the NDMA
Assist the NDMA to discharge functions & ensure complains of directions issued by the GoI
Coordinates the response in the event of any threatening disaster situation and Disaster
National Institute of Disaster Management(NIDM):
Human resource Development and Capacity building within the broad policies and guidelines
laydown by the NDMA.
National Disaster Response Force(NDRF):
Specialized response and emergency search & rescue in threatening disaster situation
16. CHAIRMAN & MEMBERS OF AUTHORITY
(SDMA)
Chairman:
Hon'ble Chief Minister
Members :
• Minister of Revenue, Relief, Rehabilitation & Youth Affairs
• Minister of Home
• Minister of Finance
• Minister of Health
• Minister of Major Irrigation
• Minister of Roads & Bridges
• Minister of Panchayat Raj
• Chief Secretary as Member Convener
Authority meetings shall be conducted at least once in a year
apart from as and when required.
STATE EXECUTIVE COMMITTEE
(SEC) of SDMA.
Chairperson:
Chief Secretary
Members:
• Principal Secretary/Secretary, Finance - Member.
• Principal Secretary, PR & RD - Member.
• Principal Secretary, I & CAD – Member.
• Principal Secretary, LET & F – Permanent Co-opted Member.
• Special Invitees : As per need.
• Commissioner for DM– Member Convener.
The SEC shall meet as often as necessary but at least once in
three months (Quarterly)
Sate Government will be carrying out Disaster Management with the hep of Central Govt., playing a
supporting role.
MEMBERS OF DDMA
(District Disaster Management
Authority)
Chairman : The Collector & District
Magistrate
Co-Chairperson : Chairman of Zilla
Parishad
• The Superintendent of Police,
• The Joint Collector - Member Convener
• The Project Director, DRDA
• The CEO, Zilla Parishad
• The DM&HO
STATE & DISTRICT LEVEL (ANDHRA PRADESH)
17. MHA, GoI National Disaster
Management Authority
Chairman: PM
State Disaster
Management Authority
Chairman: CM
State Government
District Administration
Mandal/ Municipalties
District Disaster
Management Authority
Co-Chairmen
DM/Chairman ZP
SDRF
National
Executive
Committee
State
Executive
Committee
NDRF
NIDM
SDRF/FIRE
ADMINISTRATIVE FRAMEWORK FOR DISASTER MANAGEMENT
18. INFORMATION FLOW IN CASE OF NATURAL DISASTER
IMD/
INCOIS/CWC etc.,
MHA, NDMA ((NEOC)
SEOC/ RC & Secretary, DM
DEOC/ DDMA
Sub-Divisional Officer/ SDM
Block Development Officer/ Tehsildar
All concerned line
departments
All concerned line
departments
Electronic and Print Media
(TV, Radio, Press etc.) for
public information
Public
Reference: SOP for responding to Natural Disasters, Published by MHA, 2010
