Challenge and Selection 

 My challenge was to design an optimal processing station for a new chamber , which needs to be capable   of running many different applications .   The different application have different requirements and   emphasize different aspects of performance differently .   This means that certain characteristics of the   station , for example flow and temperature characteristics , are more important for certain applications   than others .   In some cases those requirements are conflicting or inversely related , so it involves making   tradeoffs .   My goal was to create the minimum number of configurations of process stations to satisfy   the various requirements .   Initially a lot of analysis was done , which generated various numerical values   and individual graphs .   After compiling much of this data I decided that more visualization would be the   best tool to use , because it can graphically assist in mapping the requirements , outputs , and capabilities ,   while highlighting gaps .   It not only easier for me to see , but it also made it easier to explain to others . 

 Application 

 I used visualization by creating a 3D map of three of the most important characteristics and mapping   where the different designs sit in the three dimensional space of those requirements .   In addition I   mapped the expected requirements of prospective application into the same space , which allowed   everyone to see where the designs match up and where there are gaps . 

 Insight 

 I learned a new tool for clearly showing requirements and design tradeoffs when the number of   dimensions is low enough .   In this case it was possible to simplify down to the three most important   characteristics .   It showed me where I needed to focus my design efforts and where an optimal solution   might be found , with this solution being the best combination of performance in different areas . 

 Approach 

 I learned that this technique can be used earlier in the process to guide design before significant design   activity has been undertaken .   It could be used to see from the beginning whether there is an optimal   design for all known applications or if multiple designs are needed .   My current use of the tool showed   later in the process where there gaps based on the designs that were already done .   It could be done   more efficiently if the tool is used earlier . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Challenge and Selection 

 My challenge was to design an optimal processing station for a new chamber , which needs to be capable   of running many different applications .   The different application have different requirements and   emphasize different aspects of performance differently .   This means that certain characteristics of the   station , for example flow and temperature characteristics , are more important for certain applications   than others .   In some cases those requirements are conflicting or inversely related , so it involves making   tradeoffs .   My goal was to create the minimum number of configurations of process stations to satisfy   the various requirements .   Initially a lot of analysis was done , which generated various numerical values   and individual graphs .   After compiling much of this data I decided that more visualization would be the   best tool to use , because it can graphically assist in mapping the requirements , outputs , and capabilities ,   while highlighting gaps .   It not only easier for me to see , but it also made it easier to explain to others . 

 Application 

 I used visualization by creating a 3D map of three of the most important characteristics and mapping   where the different designs sit in the three dimensional space of those requirements .   In addition I   mapped the expected requirements of prospective application into the same space , which allowed   everyone to see where the designs match up and where there are gaps . 

 Insight 

 I learned a new tool for clearly showing requirements and design tradeoffs when the number of   dimensions is low enough .   In this case it was possible to simplify down to the three most important   characteristics .   It showed me where I needed to focus my design efforts and where an optimal solution   might be found , with this solution being the best combination of performance in different areas . 

 Approach 

 I learned that this technique can be used earlier in the process to guide design before significant design   activity has been undertaken .   It could be used to see from the beginning whether there is an optimal   design for all known applications or if multiple designs are needed .   My current use of the tool showed   later in the process where there gaps based on the designs that were already done .   It could be done   more efficiently if the tool is used earlier .
### Output: 