Abstract: A cleaning device to be worn on footwear of a user includes a shoe attachment means configured to removably connect to the user's footwear, a cleaning element configured to removably connect to the shoe attachment means, and a coupling interface including a first connecting means positioned on the shoe attachment means and a second connecting means positioned on the cleaning element. The first connecting means and the second connecting means are configured to removably connect the shoe attachment means to the cleaning element.

Abstract: A privacy-aware query management system receives a query to aggregate data from a number of datasets, wherein at least one of the datasets contains private information for one or more people. The privacy-aware query management system retrieves data from the datasets. Each of the plurality of datasets has associated privacy parameters that determine a level of noise to be applied to query results obtained from that dataset, and the levels of noise are used to determine an order of operations for the query to retrieve the data from the datasets. The privacy-aware query management system applies the levels of noise to each query result obtained from each of the datasets in accordance with the privacy parameters associated with that dataset, computes aggregated data from the query results with the levels of noise applied, and responds to the query with the aggregated data.

Abstract: A privacy-aware query management system receives a query to aggregate data from a number of datasets, wherein at least one of the datasets contains private information for one or more people. The privacy-aware query management system retrieves data from the datasets. Each of the plurality of datasets has associated privacy parameters that determine a level of noise to be applied to query results obtained from that dataset, and the levels of noise are used to determine an order of operations for the query to retrieve the data from the datasets. The privacy-aware query management system applies the levels of noise to each query result obtained from each of the datasets in accordance with the privacy parameters associated with that dataset, computes aggregated data from the query results with the levels of noise applied, and responds to the query with the aggregated data.

Abstract: We disclose and claim a method for custom fitting an article to a human being or animal comprising, selecting on the basis of body information about said human being or animal a subset of entries from a database populated with entries, wherein said entries comprise data from which said article is designed. We also disclose and claim a method for custom fitting an article to a human being or animal comprising, obtaining body information about said human being or animal, populating a database with entries comprising data about other individual human beings or animals selected from the group consisting of body dimensions and body information, selecting a subset of entries from said database on the basis of said body information about said human being or animal, and designing said article on the basis of said subset of entries.