Ocean Optics Software Password 16

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Clotilde Wilks

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Jul 13, 2024, 7:47:33 PM7/13/24
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I was thinking that I would have no luck making the device work under the newer versions of Windows but luckily I found out that they still support older devices. Ocean Optics provides a product called OmniDrivers (oceaninsight.com) that provides drivers that are compatible with Windows 7 and later. In the download page it is shown that it requires a password that I do not have, although that is for development purposes and not for the drivers.

Add a new credential in Jenkins and choose "Username and Password" as the type. The username should be your GitHub username and the password is the API token. Make sure the credential is added to a store that the project has access to.

Ocean Optics Software Password 16


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With shell access, you can find the file where your token is stored (in my case it was ./users//config.xml). However, you cannot just edit that file, because the token is stored in encrypted form (and base64-encoded). So instead, create a new dummy credential with the correct token. The dummy credential gets added (in encrypted form) in the file ./credentials.xml. Open that file and copy the password (in base64 and encrypted form) into where the actual credentials are (./users//config.xml). Finally, go to "Manage Jenkins" > "Reload Configuration from Disk".

Under "Branch Sources" you'll see the current Github credentials. From there you can choose to add new credentials. In my case I added a new "Username with password" where the username was my username, and password was my Github token. By choosing this new option from the credentials dropdown I could see that the authenticated user changed.

After setting up a fresh Ubuntu install in production with Digital Ocean, it is important to make your new environment extra secure and resilient. The goal is to optimize your installation for scale. In addition to staying up to date, you can follow a few steps that will make your entire server rock on! We are starting with MySQL and what to do when you don't remember your root password, especially when you use the pre-made Ghost image.

During an automated installation like Ghost on a Digital Ocean server, you probably missed the step concerning MySQL. At least, you may have missed the choice of a password. Here's how to reset it on your Ubuntu 20.04 environment in just a few steps.

This article contains the solution to change your password under Ubuntu 20.04. It is important to make sure that your server is running version 8 of MySQL (or higher). To be sure, here is the command :

Finally, the root can connect to MySQL again using the new password. It is time to improve your database and how your server is dealing with data. If you want to start by fixing Memory and CPU issues with Swap Space, follow this link.

To ensure the security of the user account, you are advised to change the default password of the user after you log in to the storage system the first time.To ensure the security of the user account, you are advised to change the password of the user regularly.

This happens to the best of us. With all the technology and websites available to us, it is easy to forget what password goes to what. We have you covered. If for any reason you forget your password, we will have one immediately generated and emailed to you. Simply click on the "LOST PASSWORD" link in the login area of the main page.

After receiving your new password, return to the login screen and sign in using your new password. You may consider changing your password to something more familiar. If so, see our section on "How do I change my password?".

As stated in the prompts, enter in your current password and then your new password twice. (See Figure 2.3) All passwords are case sensitive. Be sure to keep track of your updated password. However, if you forget your password, you may see the above section "I forgot my password".

A new study demonstrates for the first time that the same undersea fiber optic cables used for internet and cable television can be repurposed to tune in to marine life at unprecedented scales, potentially transforming critical conservation efforts. googletag.cmd.push(function() googletag.display('div-gpt-ad-1449240174198-2'); ); "Eavesdropping at the Speed of Light: Distributed Acoustic Sensing of Baleen Whales in the Arctic," was published July 5 in Frontiers in Marine Science. It describes tracking whales using optic fiber and a technique called Distributed Acoustic Sensing (DAS)."Sound travels five times faster in the ocean than in the air," said Léa Bouffaut, a postdoctoral researcher at the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology, and first author of the study. "Because whales are highly vocal, acoustic monitoring is a very effective way for us to assess where they are located and where they are going."Putting that detailed information into the hands of conservationists and decision makers could have a significant impact. Nearly 50% of great whale species are classified as endangered. They face challenges including warming oceans and increasing human maritime activities that negatively affect their environment and their ability to communicate.Bouffaut completed the study with collaborators while she was at the Norwegian University for Science and Technology. She and the Yang Center team will now advance DAS research in two main areas: quality assessment of the audio signals received, and artificial intelligence software to sift through the massive DAS acoustic output, which can add up to many terabytes of data daily.Traditional acoustic whale monitoring methods involve the deployment of an array of hydrophones to detect sound waves in a specific area. According to Bouffaut, because of the comparatively high costs associated with the operation (instruments, ship time and crew for deployment and recovery), acoustic data remains sparse and the oceans unevenly sampled.By using fiber optics, scientists could have access to many more sensors over longer distances, enabling them to better monitor whales in real time."The technology behind DAS is totally different compared with monitoring sound waves directly with an underwater microphone," said Yang Center director Holger Klinck. "What we are recording are changes in the timing of light pulses that are back-scattered by small defects in the fiber optic cable. We can then convert that signal into sound. That's why we call them 'virtual' hydrophones."The monitoring would employ one of the unused spare fibers, also called "dark fiber," that is typically included with telecommunications cable bundles. These dark fibers can be tapped without disturbing existing data streams at the end point of the cable on shore."My hope is to further develop this technology and make it available for all those involved in marine conservation," Bouffaut said. "This technology could make the future much brighter for whales." More information:Léa Bouffaut et al, Eavesdropping at the Speed of Light: Distributed Acoustic Sensing of Baleen Whales in the Arctic, Frontiers in Marine Science (2022). DOI: 10.3389/fmars.2022.901348Journal information:Frontiers in Marine Science

Monitoring changes in marine phytoplankton is important as they form the foundation of the marine food web and are crucial in the carbon cycle. Often Chlorophyll-a (Chl-a) is used to track changes in phytoplankton, since there are global, regular satellite-derived estimates. However, satellite sensors do not measure Chl-a directly. Instead, Chl-a is estimated from remote sensing reflectance (RRS): the ratio of upwelling radiance to the downwelling irradiance at the ocean's surface. Using a model, we show that RRS in the blue-green spectrum is likely to have a stronger and earlier climate-change-driven signal than Chl-a. This is because RRS has lower natural variability and integrates not only changes to in-water Chl-a, but also alterations in other optically important constituents. Phytoplankton community structure, which strongly affects ocean optics, is likely to show one of the clearest and most rapid signatures of changes to the base of the marine ecosystem.

For thousands of years, a weight at the end of a rope (or wire), called a lead line (figure 1 inset), was the only means to determine ocean depth, measuring only a tiny spot of the seafloor. In shallow water (tens of meters), a lead line measurement was reasonably accurate and could be completed in a few minutes, but with increasing depth, accuracy decreased and the collection of a single depth measurement could take hours. Each sounding was positioned by the best technology of the day, typically celestial navigation, which, in general, has an accuracy of 2 nautical miles (Defence Council 2011). The resulting charts showed sparsely spaced soundings with contours or isobaths representing lines of constant depth interpolated between the few measured soundings (figure 1). At best they were broad approximations of what might lie below.

Figure 1

Unlike electromag-netic waves, acoustic waves propagate easily in ocean waters. At frequencies of approximately 15 kHz or less, they can propagate the full range of ocean depths (>11,000 m), reflecting off the seafloor (due to the contrast in acoustic impedance between seawater and the seabed) and back to the echo sounder. If the speed of sound in seawater is known (nominally 1,500 m/sec and easily measurable), the two-way travel time of the acoustic pulse can be converted to an accurate measurement of depth.

Figure 2

Like all acoustic systems, multibeam sonars must balance the tradeoffs between propagation range (which decreases with increasing frequency due to higher attenuation at higher frequencies) and resolution (which increases with higher frequency due to shorter pulse lengths and increased bandwidth). Small, high--frequency (>400 kHz) systems with arrays of a few 10s of cm in length are capable of centimetric resolution of seafloor features but with propagation ranges of a few hundred meters or less. Large (many meters long) arrays operating at lower frequencies (12 kHz) are capable of propagating to full ocean depth, but with lateral resolution of 10s to 100s of meters depending on water depth and sonar beam width (e.g., a 1 1 multibeam sonar would ensonify a 70 m diameter patch of seafloor in 4,000 m of water).

Figure 4

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