The following is a listing of pictures electronically placed on the phonograph records which are carried onboard the Voyager 1 and 2 spacecraft. The contents of the record were selected for NASA by a committee chaired by Carl Sagan of Cornell University, et. al. Dr. Sagan and his associates assembled 115 images and a variety of natural sounds, such as those made by surf, wind and thunder, birds, whales, and other animals. To this they added musical selections from different cultures and eras, and spoken greetings from Earth-people in fifty-five languages, and printed messages from President Carter and U.N. Secretary General Waldheim. Each record is encased in a protective aluminum jacket, together with a cartridge and a needle. Instructions, in symbolic language, explain the origin of the spacecraft and indicate how the record is to be played. The 115 images are encoded in analog form. The remainder of the record is in audio, designed to be played at 16-2/3 revolutions per minute. It contains the spoken greetings, beginning with Akkadian, which was spoken in Sumer about six thousand years ago, and ending with Wu, a modern Chinese dialect. Following the section on the sounds of Earth, there is an eclectic 90-minute selection of music, including both Eastern and Western classics and a variety of ethnic music. Once the Voyager spacecraft leave the solar system, they will find themselves in empty space. It will be forty thousand years before they make a close approach to any other planetary system.
Credit: National Astronomy and Ionosphere Center, Cornell University (NAIC)
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The diagram of male and female image is one of the pictures electronically placed on the phonograph records which are carried onboard the Voyager 1 and 2 spacecraft.Credit: Jon Lomberg
Please note that these images are copyright protected. Reproduction without permission of the copyright holder is prohibited.
Notes on external images: External images might be under copyright. If you do not get permission to use it, you may be in violation of copyright laws. In addition, you cannot control external images; they can suddenly be removed or changed.
A container image represents binary data that encapsulates an application and all itssoftware dependencies. Container images are executable software bundles that can runstandalone and that make very well defined assumptions about their runtime environment.
Container images are usually given a name such as pause, example/mycontainer, or kube-apiserver.Images can also include a registry hostname; for example: fictional.registry.example/imagename,and possibly a port number as well; for example: fictional.registry.example:10443/imagename.
If you enable the RuntimeClassInImageCriApi feature gate,the kubelet references container images by a tuple of (image name, runtime handler) rather than just theimage name or digest. Your container runtimemay adapt its behavior based on the selected runtime handler.Pulling images based on runtime class will be helpful for VM based containers like windows hyperV containers.
By default, kubelet pulls images serially. In other words, kubelet sends onlyone image pull request to the image service at a time. Other image pull requestshave to wait until the one being processed is complete.
If you would like to enable parallel image pulls, you can set the fieldserializeImagePulls to false in the kubelet configuration.With serializeImagePulls set to false, image pull requests will be sent to the image service immediately,and multiple images will be pulled at the same time.
The kubelet never pulls multiple images in parallel on behalf of one Pod. For example,if you have a Pod that has an init container and an application container, the imagepulls for the two containers will not be parallelized. However, if you have twoPods that use different images, the kubelet pulls the images in parallel onbehalf of the two different Pods, when parallel image pulls is enabled.
When serializeImagePulls is set to false, the kubelet defaults to no limit on themaximum number of images being pulled at the same time. If you would like tolimit the number of parallel image pulls, you can set the field maxParallelImagePullsin kubelet configuration. With maxParallelImagePulls set to n, only n imagescan be pulled at the same time, and any image pull beyond n will have to waituntil at least one ongoing image pull is complete.
As well as providing binary images, a container registry can also serve acontainer image index.An image index can point to multiple image manifestsfor architecture-specific versions of a container. The idea is that you can have a name for an image(for example: pause, example/mycontainer, kube-apiserver) and allow different systems tofetch the right binary image for the machine architecture they are using.
Kubernetes itself typically names container images with a suffix -$(ARCH). For backwardcompatibility, please generate the older images with suffixes. The idea is to generate say pauseimage which has the manifest for all the arch(es) and say pause-amd64 which is backwardscompatible for older configurations or YAML files which may have hard coded the images withsuffixes.
Google provides several Search features and products that help users visually discover information on the web, such as the text result images, Google Discover, and Google Images. While each feature and product looks different, the general recommendations for getting images to appear in them is the same.
The technical requirements for getting your content in Google's search result applies to images too. Since images are a substantially different format compared to HTML, it means there are additional requirements for getting images indexed; for example, finding the images on your site is different, and the presentation of the images also influences whether an image is indexed at all, and for the right keywords.
Using standard HTML image elements helps crawlers find and process images. Google parses the HTML elements (even when they're enclosed in other elements such as elements) in your pages to index images, but doesn't index CSS images.
Unlike regular sitemaps, you can include URLs from other domains in the elements of the image sitemaps. This allows you to use CDNs (content delivery networks) to host images. If you're using a CDN, we encourage you to verify ownership of the CDN's domain name in Search Console so that we can inform you of any crawl errors that we may find.
Designing responsive web pages leads to better user experience, since people can access them across a plethora of device types. Refer to our guide to responsive images to learn about the best practices for handling images on your website.
Web pages use the element or the srcset attribute of an img element to specify responsive images. However, some browsers and crawlers do not understand these attributes. We recommend that you always specify a fallback URL via the src attribute.
Google Search supports images referenced in the src attribute of img in the following file formats: BMP, GIF, JPEG, PNG, WebP, and SVG. It's also a good idea to have the extension of your filename match with the file type.
You can also inline images as Data URIs. Data URIs provide a way to include a file, such as an image, inline by setting the src attribute of an img element as a Base64-encoded string using the following format:
While inlining images can reduce HTTP requests, carefully judge when to use them since it can considerably increase the size of the page. For more on this, refer to the section on pros and cons of inlining images on our web.dev page.
High-quality photos appeal to users more than blurry, unclear images. Also, sharp images are more appealing to users in the result thumbnail and can increase the likelihood of getting traffic from users. That said, images are often the largest contributor to overall page size, which can make pages slow and expensive to load. Make sure to apply the latest image optimization and responsive image techniques to provide a high quality and fast user experience.
If you include structured data, Google can display your images in certain rich results, including a prominent badge in Google Images, which give users relevant information about your page and can drive better targeted traffic to your site.
Google extracts information about the subject matter of the image from the content of the page, including captions and image titles. Wherever possible, make sure images are placed near relevant text and on pages that are relevant to the image subject matter.
Likewise, the filename can give Google very light clues about the subject matter of the image. When possible, use filenames that are short, but descriptive. For example, my-new-black-kitten.jpg is better than IMG00023.JPG. Avoid using generic filenames like image1.jpg, pic.gif, 1.jpg when possible. If your site has thousands of images, you might want to consider automating the naming of the images. If you localize your images, remember to also translate the filenames, keeping in mind the URL encoding guidelines if you're using non-latin or special characters. 0852c4b9a8
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