SlideShare a Scribd company logo
Noise Analysis
2
Noise
 What is noise?
 Who decides?
news.bbc.co.uk www.stedmundsbury.gov.uk
sprott.physics.wisc.edu/fractals/
chaos
www.plu.edu/scene/issue/
1999/summer/img
3
Noise
 Undesirable or unwanted sound
 Subjective
 Impacts
 Annoyance, disturbance
 Stress
 Physical and psychological damage
4
Transportation Noise
 Decreases with increasing distance – a corridor
problem
 Generated by:
 Engine
 Exhaust
 Aerodynamic friction
 Interaction between tire-pavement
5
Control of Transportation Noise
 Federal -- Noise control act of 1972
 Recognized noise as a major degrader of
urban living
 Encourage use of noise standards
 State and local governments
 Also institute noise control
6
Noise Measurement
 Intensity of a single sound is measured on a
relative of logarithmic scale
 Uses a unit called a bel (B) or subunit –
decibel (dB)
 At 14 bels, sound is painful to human ear
7
Common Sounds
Source Noise Level (dB) Effect
Carrier deck jet operation, air raid siren 140 Painfully Loud
Jet takeoff at 200 feet 130
Disco, thunderclap 120 Maximum Vocal Effort
Auto Horn at 3 feet 110
Garbage Truck 100
Heavy Truck at 50 feet, city traffic 90 Very Annoying, hearing damage (8-hr)
Alarm Clock at 2 feet, hair dryer 80 Annoying
Noise restaurant, freeway traffic, persons voice at 3 feet 70 telephone use difficult
Air conditioning unit at 20 feet 60 Intrusive
Light auto traffic at 100 feet 50 quiet
Living room, bedroom, quiet office 40
Library, soft whisper at 15 feet 30 very quiet
10 Sound just audible
0 Hearing begins
8
Noise Propagation
 Noise is generated at source and spreads
spherically away from source
 Intensity diminishes with distance
 Losses also occur from sound energy being
dissipated as sound is transferred by air particles
 Bending and diffraction occurs as sound waves
encounter natural and manufactured solid objects
9
Noise Control Strategies
 Minimize noise levels
 Source controls
 Vehicle control devices – maintenance, traffic and
highway design controls
 Path controls
 Sound barriers that reflect and diffuse noise
 Buffer zones
 Receiver-side controls
 insulation
10
Noise abatement measures
 Traffic management (see next slide)
 Buffer zones
 Vegetation
 Noise insulation
 Relocating the highway
11
Traffic management measures
 Prohibit trucks
 Truck routes
 Prohibit daytime (or night-time) use
 Traffic signal timing
 Speed limits
 Will all these work?
12
http://www.nonoise.org/library/highway/traffic/traffic.htm
Noise
Source
13
http://www.nonoise.org/library/highway/traffic/traffic.htm
14
15
http://www.nonoise.org/library/highway/traffic/traffic.htm
Paths:
Effects of distance
And adding sources
16
http://www.nonoise.org/library/highway/traffic/traffic.htm
Receivers:
Perceptions
of noise
17
Number of people annoyed
At different sound levels
18
http://www.nonoise.org/library/highway/policy.htm
19
20
22
http://www.nonoise.org/library/highway/traffic/traffic.htm
What are L10 and Leq?
L10 is usually about 3dB greater than Leq
23
http://www.nonoise.org/library/highway/policy.htm#II
What are L10 and Leq?
The equivalent sound level is the steady- state, A-weighted
sound level which contains the same amount of acoustic
energy as the actual time-varying, A-weighted sound level
over a specified period of time. If the time period is 1 hour,
the descriptor is the hourly equivalent sound level, Leq(h),
which is widely used by SHAs as a descriptor of traffic
noise. An additional descriptor, which is sometimes used, is
the L10. This is simply the A-weighted sound level that is
exceeded 10 percent of the time.
25
State of the Art is FHWA’s Traffic
Noise Model (TNM)
 Modeling of five standard vehicle types, including automobiles, medium trucks, heavy
trucks, buses, and motorcycles, as well as user-defined vehicles.
 Modeling of both constant-flow and interrupted-flow traffic using a 1994/1995 field-
measured data base.
 Modeling of the effects of different pavement types, as well as the effects of graded
roadways.
 Sound level computations based on a one-third octave-band data base and algorithms.
 Graphically-interactive noise barrier design and optimization.
 Attenuation over/through rows of buildings and dense vegetation.
 Multiple diffraction analysis.
 Parallel barrier analysis.
 Contour analysis, including sound level contours, barrier insertion loss contours, and
sound-level difference contours.
 Available for $695 at McTrans http://mctrans.ce.ufl.edu/
26
2280 120 60
Problem: Find dBA L10
•500 ft from road
•2 lane road
•2400 vehicles per hour
•5 percent trucks
•60 mph
#cars = .95x2400=2280
Example Problem
27
Problem: Find dBA L10 at 500 ft
From a 2 lane road carrying:
2400 vehicles per hour
5 percent trucks, at
60 mph … cars = .95x2400=2280
L dBA for cars at 100’ = 68 dBA
28
68
2280 120 60
29
Problem: Find dBA L10 at 500 ft
From a 2 lane road carrying:
2400 vehicles per hour
5 percent trucks, at
60 mph … trucks = .05x2400=120
L50 dBA for trucks at 100’ = 62 dBA
20
30
40
50
60
70
30
68 62
2280 120 60
31
Problem: Find dBA L10 at 500 ft
From a 2 lane road carrying:
2400 vehicles per hour
5 percent trucks, at
60 mph …
O-ELD = 500’
32
Problem: Find dBA L10 at 500 ft
From a road carrying:
2400 vehicles per hour
5 percent trucks, at
60 mph …
Adjustment from 100ft ref = -10 dB
33
68 62
-10-10
2280 120 60
34
Problem: Find dBA L10 at 500 ft
From a road carrying:
2400 vehicles per hour
5 percent trucks, at
60 mph … vol/speed*ELD = 19,000 for cars, 1,000 for trucks
L10 - L50 = 2 dBA cars, 6.5 dBA trucks
35
68 62
-10-10
2 6.5
6058.5
60 58.5
2280 120 60
36
Adding 2 sources
Heavy trucks 58.5 db
Passenger vehicles 60 db
37
Difference = 60 – 58.5 = 1.5
Add 2.3 db to higher
60 + 2.3 = 62.3 db due to
both sources
38
68 62
-10-10
2 6.5
6058.5
60 58.5
62.3
2280 120 60
39
40
41
42
Noise Barriers
43
Other Adjustments
Grade (trucks)
 +/- 3-4% = +2
 +/- 5-6% = +3
 +/- >7 = +5
Surface
 very smooth = -5
(auto only)
 very rough = +5
(auto, or truck>60mph)
Interrupted flow (L10)
 auto = +2
 Truck = +4
Foliage
 -5 for each 100’ >15’
 -10 max
Rows of houses
 -5 for each
 -10 max
44
Noise Barriers (how they work)
Noise is "diffracted" over the
barrier, this increases the
distance it travel to the listener,
thus decreasing the noise
A + B > C
Source:http://www.urbislighting.com/uap1.html
46
Noise Barriers (how they work)
Noise is also reflected and/or absorbed
Source:http://www.urbislighting.com/uap1.html
47
http://www.nonoise.org/library/highway/traffic/traffic.htm
Possible barriers
48
http://www.nonoise.org/library/highway/traffic/traffic.htm
49
Source: FHWA, “Keeping the Noise Down, Highway Traffic Noise Barriers”
50
Source: FHWA, “Keeping the Noise Down, Highway Traffic Noise Barriers”
51
Source: FHWA, “Keeping the Noise Down, Highway Traffic Noise Barriers”
52
Source: FHWA, “Keeping the Noise Down, Highway Traffic Noise Barriers”
53
Source: FHWA, “Keeping the Noise Down, Highway Traffic Noise Barriers”
54
Source: FHWA, “Keeping the Noise Down, Highway Traffic Noise Barriers”

More Related Content

Similar to 10 noise.ppt

Quit pavement roads in civil engineering
Quit pavement roads in civil engineeringQuit pavement roads in civil engineering
Quit pavement roads in civil engineering
PradeepPandya1
 
Mapping vehicle emissions through streets and intersections application of ...
Mapping vehicle emissions through streets and intersections   application of ...Mapping vehicle emissions through streets and intersections   application of ...
Mapping vehicle emissions through streets and intersections application of ...
Institute for Transport Studies (ITS)
 
Environment 15 (Transportation Engineering Dr.Lina Shbeeb)
Environment 15 (Transportation Engineering Dr.Lina Shbeeb)Environment 15 (Transportation Engineering Dr.Lina Shbeeb)
Environment 15 (Transportation Engineering Dr.Lina Shbeeb)
Hossam Shafiq I
 
traffic noise
traffic noisetraffic noise
traffic noisedont
 
Chapter 6 sources of noise pollution
Chapter 6 sources of noise pollutionChapter 6 sources of noise pollution
Chapter 6 sources of noise pollution
Noor Farahin
 
Noise pollution
Noise pollutionNoise pollution
Noise pollution
Hafiz Muhammad Numan
 
Noise Pollution
Noise PollutionNoise Pollution
Noise PollutionV.S.S Nair
 
Noise pollution
Noise pollutionNoise pollution
Noise pollution
Serajul Haque
 
Evaluación de calidad para servicios de voz móviles, incluyendo interfaces de...
Evaluación de calidad para servicios de voz móviles, incluyendo interfaces de...Evaluación de calidad para servicios de voz móviles, incluyendo interfaces de...
Evaluación de calidad para servicios de voz móviles, incluyendo interfaces de...
Ministerio TIC Colombia
 
BioSHaRE: EnviroSHAPER Noise Model and The Rapid Inquiry Facility (RIF); link...
BioSHaRE: EnviroSHAPER Noise Model and The Rapid Inquiry Facility (RIF); link...BioSHaRE: EnviroSHAPER Noise Model and The Rapid Inquiry Facility (RIF); link...
BioSHaRE: EnviroSHAPER Noise Model and The Rapid Inquiry Facility (RIF); link...
Lisette Giepmans
 
EPA Noise Workshop 13.06.17 Noise Policy and END Review - David Dodd, Environ...
EPA Noise Workshop 13.06.17 Noise Policy and END Review - David Dodd, Environ...EPA Noise Workshop 13.06.17 Noise Policy and END Review - David Dodd, Environ...
EPA Noise Workshop 13.06.17 Noise Policy and END Review - David Dodd, Environ...
Environmental Protection Agency, Ireland
 
Motor Vehicle Noise a mirage that should be considered as unparalled
Motor Vehicle Noise a mirage that should be considered as unparalledMotor Vehicle Noise a mirage that should be considered as unparalled
Motor Vehicle Noise a mirage that should be considered as unparalled
Henk Wolfert
 
Prediction of Noise Levels using FHWA Model for National highway 150 A (NH 15...
Prediction of Noise Levels using FHWA Model for National highway 150 A (NH 15...Prediction of Noise Levels using FHWA Model for National highway 150 A (NH 15...
Prediction of Noise Levels using FHWA Model for National highway 150 A (NH 15...
IRJET Journal
 
Chris lowe
Chris loweChris lowe
Chris lowe
IES / IAQM
 
Noise mapping in Australia IN15-380
Noise mapping in Australia IN15-380Noise mapping in Australia IN15-380
Noise mapping in Australia IN15-380Ben Hinze
 
Lifesavers 2011 Speed Regulation Through Engineering Countermeasures
Lifesavers 2011   Speed Regulation Through Engineering CountermeasuresLifesavers 2011   Speed Regulation Through Engineering Countermeasures
Lifesavers 2011 Speed Regulation Through Engineering Countermeasures
ktwilcoxon
 
GIS-IAP-ESRIPUG2014 Noise Impact Assessment
GIS-IAP-ESRIPUG2014 Noise Impact AssessmentGIS-IAP-ESRIPUG2014 Noise Impact Assessment
GIS-IAP-ESRIPUG2014 Noise Impact AssessmentSimon Ross
 

Similar to 10 noise.ppt (20)

Quit pavement roads in civil engineering
Quit pavement roads in civil engineeringQuit pavement roads in civil engineering
Quit pavement roads in civil engineering
 
Mapping vehicle emissions through streets and intersections application of ...
Mapping vehicle emissions through streets and intersections   application of ...Mapping vehicle emissions through streets and intersections   application of ...
Mapping vehicle emissions through streets and intersections application of ...
 
Environment 15 (Transportation Engineering Dr.Lina Shbeeb)
Environment 15 (Transportation Engineering Dr.Lina Shbeeb)Environment 15 (Transportation Engineering Dr.Lina Shbeeb)
Environment 15 (Transportation Engineering Dr.Lina Shbeeb)
 
traffic noise
traffic noisetraffic noise
traffic noise
 
Chapter 6 sources of noise pollution
Chapter 6 sources of noise pollutionChapter 6 sources of noise pollution
Chapter 6 sources of noise pollution
 
Noise pollution
Noise pollutionNoise pollution
Noise pollution
 
Noise Pollution
Noise PollutionNoise Pollution
Noise Pollution
 
Noise pollution
Noise pollutionNoise pollution
Noise pollution
 
Evaluación de calidad para servicios de voz móviles, incluyendo interfaces de...
Evaluación de calidad para servicios de voz móviles, incluyendo interfaces de...Evaluación de calidad para servicios de voz móviles, incluyendo interfaces de...
Evaluación de calidad para servicios de voz móviles, incluyendo interfaces de...
 
BioSHaRE: EnviroSHAPER Noise Model and The Rapid Inquiry Facility (RIF); link...
BioSHaRE: EnviroSHAPER Noise Model and The Rapid Inquiry Facility (RIF); link...BioSHaRE: EnviroSHAPER Noise Model and The Rapid Inquiry Facility (RIF); link...
BioSHaRE: EnviroSHAPER Noise Model and The Rapid Inquiry Facility (RIF); link...
 
EPA Noise Workshop 13.06.17 Noise Policy and END Review - David Dodd, Environ...
EPA Noise Workshop 13.06.17 Noise Policy and END Review - David Dodd, Environ...EPA Noise Workshop 13.06.17 Noise Policy and END Review - David Dodd, Environ...
EPA Noise Workshop 13.06.17 Noise Policy and END Review - David Dodd, Environ...
 
Motor Vehicle Noise a mirage that should be considered as unparalled
Motor Vehicle Noise a mirage that should be considered as unparalledMotor Vehicle Noise a mirage that should be considered as unparalled
Motor Vehicle Noise a mirage that should be considered as unparalled
 
Prediction of Noise Levels using FHWA Model for National highway 150 A (NH 15...
Prediction of Noise Levels using FHWA Model for National highway 150 A (NH 15...Prediction of Noise Levels using FHWA Model for National highway 150 A (NH 15...
Prediction of Noise Levels using FHWA Model for National highway 150 A (NH 15...
 
Chris lowe
Chris loweChris lowe
Chris lowe
 
Noise mapping in Australia IN15-380
Noise mapping in Australia IN15-380Noise mapping in Australia IN15-380
Noise mapping in Australia IN15-380
 
How to Measure the Impact of Transport Interventions - Maria Cordeiro
How to Measure the Impact  of Transport Interventions - Maria CordeiroHow to Measure the Impact  of Transport Interventions - Maria Cordeiro
How to Measure the Impact of Transport Interventions - Maria Cordeiro
 
How to Measure the Impact of Transport Interventions - Maria Cordeiro
How to Measure the Impact  of Transport Interventions - Maria CordeiroHow to Measure the Impact  of Transport Interventions - Maria Cordeiro
How to Measure the Impact of Transport Interventions - Maria Cordeiro
 
Master's degree final dissertation
Master's degree final dissertationMaster's degree final dissertation
Master's degree final dissertation
 
Lifesavers 2011 Speed Regulation Through Engineering Countermeasures
Lifesavers 2011   Speed Regulation Through Engineering CountermeasuresLifesavers 2011   Speed Regulation Through Engineering Countermeasures
Lifesavers 2011 Speed Regulation Through Engineering Countermeasures
 
GIS-IAP-ESRIPUG2014 Noise Impact Assessment
GIS-IAP-ESRIPUG2014 Noise Impact AssessmentGIS-IAP-ESRIPUG2014 Noise Impact Assessment
GIS-IAP-ESRIPUG2014 Noise Impact Assessment
 

Recently uploaded

The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
OnBoard
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
Kari Kakkonen
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
Product School
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
DianaGray10
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
RTTS
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Product School
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
Jemma Hussein Allen
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Product School
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
g2nightmarescribd
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Thierry Lestable
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
Prayukth K V
 

Recently uploaded (20)

The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Leading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdfLeading Change strategies and insights for effective change management pdf 1.pdf
Leading Change strategies and insights for effective change management pdf 1.pdf
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
DevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA ConnectDevOps and Testing slides at DASA Connect
DevOps and Testing slides at DASA Connect
 
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
From Daily Decisions to Bottom Line: Connecting Product Work to Revenue by VP...
 
Connector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a buttonConnector Corner: Automate dynamic content and events by pushing a button
Connector Corner: Automate dynamic content and events by pushing a button
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdfFIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
FIDO Alliance Osaka Seminar: Passkeys and the Road Ahead.pdf
 
JMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and GrafanaJMeter webinar - integration with InfluxDB and Grafana
JMeter webinar - integration with InfluxDB and Grafana
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
The Future of Platform Engineering
The Future of Platform EngineeringThe Future of Platform Engineering
The Future of Platform Engineering
 
Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...Mission to Decommission: Importance of Decommissioning Products to Increase E...
Mission to Decommission: Importance of Decommissioning Products to Increase E...
 
Generating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using SmithyGenerating a custom Ruby SDK for your web service or Rails API using Smithy
Generating a custom Ruby SDK for your web service or Rails API using Smithy
 
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 previewState of ICS and IoT Cyber Threat Landscape Report 2024 preview
State of ICS and IoT Cyber Threat Landscape Report 2024 preview
 

10 noise.ppt