Learn about the newly announced Amazon Rekognition with a hands-on session by Alex Casalboni. Find out how deep learning is powering Amazon's Image Analysis service and which use cases are supported, with respect to other frameworks and APIs.
In this webinar, Alex Casalboni will overview the main FaaS concepts and best practices (Function as a Service), explore the open-source FaaS options and discuss pros and cons of deploying and managing your own serverless platform on Kubernetes.
This will be a more advanced scenario related session during which we'll talk about API Gateway authentication use cases, Amazon Kinesis Streams, Amazon Cognito and AWS CloudFormation.
What is Machine Learning and how does it work? But even more importantly, what problems can ML solve for you and your company?
Once you have understood the potential use cases, we will briefly describe the main challenges in the world of Big Data.
Why is deploying ML models so hard and how can Cloud Computing help?
Many MLaaS options are available on the market (AWS, Google, Azure, BigML, etc.). We will see how they compare to each other and which may best fit your needs.
Whenever MLaaS is not enough, you can build your own ML models. We will briefly explain why Serverless is a great deployment strategy for this use case and what problems and limitation arise with it.
Furthermore, we will put these ideas into practice and build a model for Sentiment Analysis, based on Python (scikit-learn), and trained with a public dataset by Stanford University.
Building Serverless Machine Learning models in the CloudAlex Casalboni
Here I describe the main challenges faced by data scientists involved in deploying machine learning models into real production environments.
I also include references/examples of Python libraries and multi-model systems requiring advanced features such as A/B testing and high scalability/availability.
While discussing the limitations of traditional deployment strategies, I will demonstrate how serverless computing can simplify your deployment workflow.
Building Serverless Machine Learning Models in the Cloud [PyData DC]Alex Casalboni
You will learn how to efficiently design and train machine learning models in Python and deploy them to the cloud. This process reduces the development & operational efforts required to make your prototypes production-ready.
We will describe the main challenges faced by data scientists involved in deploying machine learning models into real production environments with specific references, examples of Python libraries, and multi-model systems requiring advanced features such as A/B testing and high scalability & availability.
While discussing the advantages and limitations of multiple deployment strategies in the cloud, we will focus on serverless computing (i.e. AWS Lambda) as a solution for simplifying your development & deployment workflows.
In this webinar, Alex Casalboni will overview the main FaaS concepts and best practices (Function as a Service), explore the open-source FaaS options and discuss pros and cons of deploying and managing your own serverless platform on Kubernetes.
This will be a more advanced scenario related session during which we'll talk about API Gateway authentication use cases, Amazon Kinesis Streams, Amazon Cognito and AWS CloudFormation.
What is Machine Learning and how does it work? But even more importantly, what problems can ML solve for you and your company?
Once you have understood the potential use cases, we will briefly describe the main challenges in the world of Big Data.
Why is deploying ML models so hard and how can Cloud Computing help?
Many MLaaS options are available on the market (AWS, Google, Azure, BigML, etc.). We will see how they compare to each other and which may best fit your needs.
Whenever MLaaS is not enough, you can build your own ML models. We will briefly explain why Serverless is a great deployment strategy for this use case and what problems and limitation arise with it.
Furthermore, we will put these ideas into practice and build a model for Sentiment Analysis, based on Python (scikit-learn), and trained with a public dataset by Stanford University.
Building Serverless Machine Learning models in the CloudAlex Casalboni
Here I describe the main challenges faced by data scientists involved in deploying machine learning models into real production environments.
I also include references/examples of Python libraries and multi-model systems requiring advanced features such as A/B testing and high scalability/availability.
While discussing the limitations of traditional deployment strategies, I will demonstrate how serverless computing can simplify your deployment workflow.
Building Serverless Machine Learning Models in the Cloud [PyData DC]Alex Casalboni
You will learn how to efficiently design and train machine learning models in Python and deploy them to the cloud. This process reduces the development & operational efforts required to make your prototypes production-ready.
We will describe the main challenges faced by data scientists involved in deploying machine learning models into real production environments with specific references, examples of Python libraries, and multi-model systems requiring advanced features such as A/B testing and high scalability & availability.
While discussing the advantages and limitations of multiple deployment strategies in the cloud, we will focus on serverless computing (i.e. AWS Lambda) as a solution for simplifying your development & deployment workflows.
Alex Casalboni and Austen Collins discuss the evolution of Serverless. Learn about the exciting new trend that's redefining the cloud computing industry in this in-depth webinar designed to teach you the basics of serverless computing and design.
Introduction to building alexa skills and putting your amazon echo to workAbe Diaz
So you bough a brand new Echo/Tap/Dot device... now what? Well if you want to start hacking away and building your own skills this session is for you. We will cover the basic building blocks to get you up and running with your very own first custom skill.
AWS re:Invent 2016: Building IoT Applications with AWS and Amazon Alexa (HLC304)Amazon Web Services
Alexa, what is the Internet of Things? Now that technology is small enough to be embedded in everyday devices, Healthcare has an opportunity to exploit the extraordinary potential of connecting ordinary devices. In this presentation, we explain how to rapidly build an IoT system and how to drive the Cloud with your voice on an Amazon Echo. In addition to describing how to use Alexa, we explore using AWS IoT, Lambda, Amazon SNS, and DynamoDB.
AWS re:Invent 2016: Workshop: Creating Voice Experiences with Alexa Skills: F...Amazon Web Services
This workshop teaches you how to build your first voice skill with Alexa. You bring a skill idea and we’ll show you how to bring it to life. This workshop will walk you through how to build an Alexa skill, including Node.js setup, how to implement an intent, deploying to AWS Lambda, and how to register and test a skill. You’ll walk out of the workshop with a working prototype of your skill idea.
Prerequisites:
Participants should have an AWS account established and available for use during the workshop.
Please bring your own laptop.
Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance.
An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
Cloud Academy & AWS: how we use Amazon Web Services for machine learning and ...Alex Casalboni
Speak with Alex Casalboni, Roberto Turrin and Luca Baroffio in our Engineering team at Cloud Academy, and learn how they use AWS to manage daily challenges and build a machine learning system.
This presentation is from a one-day bootcamp guides you through creating an Alexa Skill (interactive voice application) running on serverless AWS services (Amazon DynamoDB and AWS Lambda).
What can you do with AWS Lambda@Edge? Learn how to execute serverless functions on CloudFront Edge locations in response to CloudFront events to optimize network latency.
New Threats, New Approaches in Modern Data CentersIben Rodriguez
New Threats, New Approaches in Modern Data Centers - A Presentation by NPS at CENIC conference 11:00 am - 12:00 pm, Wednesday, March 22, 2017 – in San Diego, California
The standard approach to securing data centers has historically emphasized strong perimeter protection to keep threats on the outside of the network. However, this model is ineffective for handling new types of threats—including advanced persistent threats, insider threats, and coordinated attacks. A better model for data center security is needed: one that assumes threats can be anywhere and probably are everywhere and then, through automation, acts accordingly. Using micro-segmentation, fine-grained network controls enable unit-level trust, and flexible security policies can be applied all the way down to a network interface. In this joint presentation between customer, partner, and VMware, the fundamental tenants of micro-segmentation will be discussed. Presenters will describe how the Naval Postgraduate School has incorporated these principles into the architecture and design of a multi-tenant Cybersecurity Lab environment to deliver security training to national and international government personnel.
Edgar Mendoza, IT Specialist, Information Technology and Communications Services (ITACS) Naval Postgraduate School
Eldor Magat, Computer Specialist, ITACS, Naval Postgraduate School
Mike Monahan, Network Engineer, ITACS, Naval Postgraduate School
Iben Rodriguez, Brocade Resident SDN Delivery Consultant, ITACS, Naval Postgraduate School
Brian Recore, NSX Systems Engineer, VMware, Inc.
https://youtu.be/mYBbIbfKkGU?t=1h7m16s
Copied from the program with corrections - https://adobeindd.com/view/publications/b9fbbdf0-60f1-41dc-8654-3d2141b0bf54/nh4h/publication-web-resources/pdf/Conference_Agenda_2017_v1.pdf
While working with Java applications running on the Java HotSpot VM, we might sometimes encounter problems such as application hangs, memory leaks, unexpected application behavior, or crashes. Troubleshooting such problems can be very hard and tricky. But with knowledge of the right set of tools and utilities for nailing these problems down and how to approach them, troubleshooting can be made much easier and can help us develop stable, reliable, and efficient Java applications. This slides deck covers how we should approach these JVM issues and which tools and utilities are useful for diagnosing and troubleshooting them.
The Smart Comparison team brings to you an new flavor of the telecomm market with the toe to toe comparison between the big shots of the Indian mobile scenario.
so indulge and educate yourself what to buy and why to buy!!!!
[Defcon Russia #29] Михаил Клементьев - Обнаружение руткитов в GNU/LinuxDefconRussia
Руткиты в мире основанных на ядре Linux операционных систем уже не являются редкостью. Рассказ будет о том, как попытки в современных реалиях определить то, скомпрометирована ли система, привели к неожиданному результату.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Alex Casalboni and Austen Collins discuss the evolution of Serverless. Learn about the exciting new trend that's redefining the cloud computing industry in this in-depth webinar designed to teach you the basics of serverless computing and design.
Introduction to building alexa skills and putting your amazon echo to workAbe Diaz
So you bough a brand new Echo/Tap/Dot device... now what? Well if you want to start hacking away and building your own skills this session is for you. We will cover the basic building blocks to get you up and running with your very own first custom skill.
AWS re:Invent 2016: Building IoT Applications with AWS and Amazon Alexa (HLC304)Amazon Web Services
Alexa, what is the Internet of Things? Now that technology is small enough to be embedded in everyday devices, Healthcare has an opportunity to exploit the extraordinary potential of connecting ordinary devices. In this presentation, we explain how to rapidly build an IoT system and how to drive the Cloud with your voice on an Amazon Echo. In addition to describing how to use Alexa, we explore using AWS IoT, Lambda, Amazon SNS, and DynamoDB.
AWS re:Invent 2016: Workshop: Creating Voice Experiences with Alexa Skills: F...Amazon Web Services
This workshop teaches you how to build your first voice skill with Alexa. You bring a skill idea and we’ll show you how to bring it to life. This workshop will walk you through how to build an Alexa skill, including Node.js setup, how to implement an intent, deploying to AWS Lambda, and how to register and test a skill. You’ll walk out of the workshop with a working prototype of your skill idea.
Prerequisites:
Participants should have an AWS account established and available for use during the workshop.
Please bring your own laptop.
Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance.
An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.
Cloud Academy & AWS: how we use Amazon Web Services for machine learning and ...Alex Casalboni
Speak with Alex Casalboni, Roberto Turrin and Luca Baroffio in our Engineering team at Cloud Academy, and learn how they use AWS to manage daily challenges and build a machine learning system.
This presentation is from a one-day bootcamp guides you through creating an Alexa Skill (interactive voice application) running on serverless AWS services (Amazon DynamoDB and AWS Lambda).
What can you do with AWS Lambda@Edge? Learn how to execute serverless functions on CloudFront Edge locations in response to CloudFront events to optimize network latency.
New Threats, New Approaches in Modern Data CentersIben Rodriguez
New Threats, New Approaches in Modern Data Centers - A Presentation by NPS at CENIC conference 11:00 am - 12:00 pm, Wednesday, March 22, 2017 – in San Diego, California
The standard approach to securing data centers has historically emphasized strong perimeter protection to keep threats on the outside of the network. However, this model is ineffective for handling new types of threats—including advanced persistent threats, insider threats, and coordinated attacks. A better model for data center security is needed: one that assumes threats can be anywhere and probably are everywhere and then, through automation, acts accordingly. Using micro-segmentation, fine-grained network controls enable unit-level trust, and flexible security policies can be applied all the way down to a network interface. In this joint presentation between customer, partner, and VMware, the fundamental tenants of micro-segmentation will be discussed. Presenters will describe how the Naval Postgraduate School has incorporated these principles into the architecture and design of a multi-tenant Cybersecurity Lab environment to deliver security training to national and international government personnel.
Edgar Mendoza, IT Specialist, Information Technology and Communications Services (ITACS) Naval Postgraduate School
Eldor Magat, Computer Specialist, ITACS, Naval Postgraduate School
Mike Monahan, Network Engineer, ITACS, Naval Postgraduate School
Iben Rodriguez, Brocade Resident SDN Delivery Consultant, ITACS, Naval Postgraduate School
Brian Recore, NSX Systems Engineer, VMware, Inc.
https://youtu.be/mYBbIbfKkGU?t=1h7m16s
Copied from the program with corrections - https://adobeindd.com/view/publications/b9fbbdf0-60f1-41dc-8654-3d2141b0bf54/nh4h/publication-web-resources/pdf/Conference_Agenda_2017_v1.pdf
While working with Java applications running on the Java HotSpot VM, we might sometimes encounter problems such as application hangs, memory leaks, unexpected application behavior, or crashes. Troubleshooting such problems can be very hard and tricky. But with knowledge of the right set of tools and utilities for nailing these problems down and how to approach them, troubleshooting can be made much easier and can help us develop stable, reliable, and efficient Java applications. This slides deck covers how we should approach these JVM issues and which tools and utilities are useful for diagnosing and troubleshooting them.
The Smart Comparison team brings to you an new flavor of the telecomm market with the toe to toe comparison between the big shots of the Indian mobile scenario.
so indulge and educate yourself what to buy and why to buy!!!!
[Defcon Russia #29] Михаил Клементьев - Обнаружение руткитов в GNU/LinuxDefconRussia
Руткиты в мире основанных на ядре Linux операционных систем уже не являются редкостью. Рассказ будет о том, как попытки в современных реалиях определить то, скомпрометирована ли система, привели к неожиданному результату.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
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4. What is NOT supported (yet)?
clda.co/rekogni.on
Op.cal Character Recogni.on (OCR)
Explicit content (nudity, violence, etc.)
Logo detec.on (popular products)
Image rendering (landmarks, boxes, etc.)
22. Face Indexing and Collec?ons
clda.co/rekogni.on
User B
Face Collec.on
Search
by Face
dc090f86-48a4-5f09-905f-44e97fb1d455
bh020ftl-12a3-ho09-1355-21blpfb42acd
011bdsa1-op5j-gf14-bhg2-1p7agds6mca9
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User A
Index new
Images