Posts

Showing posts with the label Mobile Computing

Featured Post

Python Set Operations Explained: From Theory to Real-Time Applications

Image
A  set  in Python is an unordered collection of unique elements. It is useful when storing distinct values and performing operations like union, intersection, or difference. Real-Time Example: Removing Duplicate Customer Emails in a Marketing Campaign Imagine you are working on an email marketing campaign for your company. You have a list of customer emails, but some are duplicated. Using a set , you can remove duplicates efficiently before sending emails. Code Example: # List of customer emails (some duplicates) customer_emails = [ "alice@example.com" , "bob@example.com" , "charlie@example.com" , "alice@example.com" , "david@example.com" , "bob@example.com" ] # Convert list to a set to remove duplicates unique_emails = set (customer_emails) # Convert back to a list (if needed) unique_email_list = list (unique_emails) # Print the unique emails print ( "Unique customer emails:" , unique_email_list) Ou...

Limitations of Mobile Computing

What is Mobile Computing? Mobile computing ─ ability to use the technology to wirelessly connect to and use centrally located information and/or application software through the application of small, portable, and wireless computing and communication devices voice, data and multimedia communication standards Limitations Resource constraints: Battery Interference: the quality of service (QoS) Bandwidth: connection latency Dynamic changes in communication environment: variations in signal power within a region, thus link delays and connection losses Network Issues: discovery of the connection-service to destination and connection stability Interoperability issues: the varying protocol standards Security constraints: Protocols conserving privacy of communication