Lauren Soentgen

New Technology will Speed up Security at Airport

The Transportation Security Administration (TSA) announced that they will be rolling out new 3D carry-on luggage scanners throughout airports across America. The program just recently launched in July with about 12 airports being featured in the pilot program. The new 3D technology will replace current 2D luggage scanners that are found in most airports around the world. The improved scanners will feature Computed Tomography (CT) to take hundreds of pictures using a spinning X-ray camera. Using this new high resolution camera, TSA agents will have a more detailed view of the contents of passenger bags.

Currently, with the lower quality images and scanners, passengers must take out items such as electronics and liquids. The operation of unloading luggage to find certain items slows down the process of going through security and can make the airport experience much less enjoyable. With the new technology, passengers will no longer have to empty their bags, but instead can leave these items in their bag. It will also increase security, as the scanners will be able to better detect illegal contents.

With new technology trends brings new changes to industries. Currently airline users have the option to pay for TSA pre check, which is a paid ‘membership’ to expedite airport security. This includes the option that allows passengers to keep items in their luggage, with these new high tech scanners coming about, there is a decreased need of TSA pre check. What other trends do you think will be coming to the airport security or airline industry in general? How do you think these technology trends will either positively or negatively impact both the consumers and the business providing these services?

techcrunch.com/2018/09/05/tsa-to-expand-3d-carry-on-baggage-screening-to-reduce-security-wait-times/

www.wired.com/story/tsa-tests-ct-scanners-airport-security/

Flash Research Papers

Flash Research Paper One (Tier Data centers): flash research 1

Flash Research Paper Two (Virtualization): flash research paper 2

Flash Research Paper Three (SharePoint): Flash research 3

Flash Research Paper Four (WordPress): flash research paper four

Studying Abroad

This past summer I had the amazing opportunity to spend eight weeks studying abroad in Barcelona. I was able to take courses that would not have fit into my semester schedule and experience a completely different culture. Studying abroad was an incredible experience and taught me so much about myself and the world around me. It instilled in me a new love of travel and I think that everyone should study abroad if they have the chance. During my time abroad I was also able to go to Portugal and France, and each place was truly beautiful.

Big Data

Overview:

Big data are massive data sets. Big data has 3 main parts: volume, velocity, and variety. Volume is the easiest part to explain and understand. The main component of big data is its immense volume or amount of information that it has. Second, velocity explains how fast the data is coming in. Lastly, variety means that not all of the information or data is the same or in a similar format. Some people consider an additional V to be veracity, which relates to the accuracy of the data. Big data is extremely important to businesses because it can help solve problems that businesses or other organization deal with on a daily basis. It can also provide information, which may help an organization serve more customers, market better, or expand its operations.

How it relates to MIS 2502:

In data analytics we learned of different ways to work with data and find meaningful information from data sets. When learning the extract, transform, and loading process, we encountered a part of the problem with big data: variety. Not all of the data in a data set will be entered the same or be formatted the same, which can confuse businesses and impact results. We were able to change the format of data to ensure that data was formatted the same so that if we need to find information from a data set, everything will be entered correctly and ensure that we will find all the information that we need. We also used tools for data mining such as R, which helps us find information from big data to help with business decisions.

Examples:

Big data is used in every industry across the globe. It can be used to better understand customers, find problems within a business, increase the performance of sports teams, improve safety and every area in between. The police are able to utilize big data and use tools to extract meaningful information to figure out where they should place patrolling officers or know where the most crimes happen.

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