Learning Launch      Challenge      While shouldering a responsibility of rendering a service to the society in a without prejudice   manner as an Insurance surveyor a challenge came across for minimisation of losses due to   foreseen and unforeseen situations for many times . A challenge faced while minimising a loss of   burning the copper windings of many numbers of electric motors frequently in a fertilizer   industries situated in our state . These fertilizer industries insurance was covered by the   government body and they were also surprised to have the frequent claims registered by the   fertiliser industries .    Being from an engineering background I observed that the very fine dust   particles are generated in a huge quantum as a processes going on in the factory and a frequent   surges of electrical voltage were the only two factors leading to the claims loss to the electric   motors .      Selection      I have gone through the various tools and decided to use Learning Launches to be applied for the   above mentioned problem .      Application      First launch- After recognising the problems leading to the claims of the said machine we   searched and thought of solutions . For the conditions pertaining to the factory being a process   industry the alternate solutions were laid down . One being the installation of a fine particles dust    collector . And the secondly providing of an un interrupted supply of an electrical power with the   desired voltage for suppressing the surge of the electrical   voltage to the electrical motors driving   the machines of the fertilizer industry .      Second Launch- During this I prepared the conceptual design of the equipment and discussed the   same with the engineers in the respective fields and the solution to these two problems were   finalised . One for dust collection the dust collector for collecting the fine particles generated by   the unit using a principle of vacuum cleaner machine used for residential application . This   principle was to be applied for the huge area i.e. volume hence the additional units which were   ducts for handling air mixed with fine particles    and for proper air flow rate , the fans were   selected to suit the designed system .       Insight      By applying the learning launch tool , we identified our problems and designed the systems to   rectify these sources leading to the claims arising to more and more / frequent extent . The   solutions then were put forth of the both ends that is to an insurer a government body and an   insured that is a Factory authority . After the deep discussions and matching and co - ordinating   with the systems , rules and conditions the same were implemented . The output i.e. result of that   was excellent and lead to minimisation of the losses to a great extent . This was not only the   saving of loss of the claims as a national saving as well as the loss due to process held was saved   to a lot extent .   The incorporation of insight was particularly important at this stage , as launches   come before a full rollout in the design thinking .   . 

 Approach      Being as a Mechanical Engineer and a technical background we ended in designing and selecting   an appropriate machines and devices . But this was a success with the help taken from the various   technocrats in the different areas like electrical , production and fluid power . 


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: Learning Launch      Challenge      While shouldering a responsibility of rendering a service to the society in a without prejudice   manner as an Insurance surveyor a challenge came across for minimisation of losses due to   foreseen and unforeseen situations for many times . A challenge faced while minimising a loss of   burning the copper windings of many numbers of electric motors frequently in a fertilizer   industries situated in our state . These fertilizer industries insurance was covered by the   government body and they were also surprised to have the frequent claims registered by the   fertiliser industries .    Being from an engineering background I observed that the very fine dust   particles are generated in a huge quantum as a processes going on in the factory and a frequent   surges of electrical voltage were the only two factors leading to the claims loss to the electric   motors .      Selection      I have gone through the various tools and decided to use Learning Launches to be applied for the   above mentioned problem .      Application      First launch- After recognising the problems leading to the claims of the said machine we   searched and thought of solutions . For the conditions pertaining to the factory being a process   industry the alternate solutions were laid down . One being the installation of a fine particles dust    collector . And the secondly providing of an un interrupted supply of an electrical power with the   desired voltage for suppressing the surge of the electrical   voltage to the electrical motors driving   the machines of the fertilizer industry .      Second Launch- During this I prepared the conceptual design of the equipment and discussed the   same with the engineers in the respective fields and the solution to these two problems were   finalised . One for dust collection the dust collector for collecting the fine particles generated by   the unit using a principle of vacuum cleaner machine used for residential application . This   principle was to be applied for the huge area i.e. volume hence the additional units which were   ducts for handling air mixed with fine particles    and for proper air flow rate , the fans were   selected to suit the designed system .       Insight      By applying the learning launch tool , we identified our problems and designed the systems to   rectify these sources leading to the claims arising to more and more / frequent extent . The   solutions then were put forth of the both ends that is to an insurer a government body and an   insured that is a Factory authority . After the deep discussions and matching and co - ordinating   with the systems , rules and conditions the same were implemented . The output i.e. result of that   was excellent and lead to minimisation of the losses to a great extent . This was not only the   saving of loss of the claims as a national saving as well as the loss due to process held was saved   to a lot extent .   The incorporation of insight was particularly important at this stage , as launches   come before a full rollout in the design thinking .   . 

 Approach      Being as a Mechanical Engineer and a technical background we ended in designing and selecting   an appropriate machines and devices . But this was a success with the help taken from the various   technocrats in the different areas like electrical , production and fluid power .
### Output: 