Abstract: The invention relates to an explosive mass drop test device. Specifically, the present invention relates to a method of designing an explosive block drop test device to serve the explosion test process and meet the requirements for ensuring safety during the test. The present invention gives an example of a test device for dropping explosive masses in the range 50-300 kg. In addition, the structure is designed to be simple, easy to integrate and disassemble with the explosive block, the manipulation of dropped objects is simplified. The product of the present invention can be used to test the safety of explosive blocks.

Abstract: Method of analysis text message syntactically and by content, which entails: step 1; Split syntaxes (made available to subscribers by the network operator) into tokens to store in a Syntax Trie; step 2. Pre-process an incoming text from a subscriber; step 3. Split the text (pre-processed in Step 2) into tokens; step 4. Look up paths that include the tokens (obtained in Step 3) in the Syntax Trie (initialized in Step 1); step 5: Return the look-up result, which is the path in the Syntax Trie that best reflects the user intent.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for a Trust Score Engine are directed to providing a user interface for identifying datasets collected into a dataset inventory wherein the dataset inventory may be displayed within the user interface. The Trust Score Engine determines social curation activities by respective user accounts that have been applied the datasets in the dataset inventory and validates the datasets in the dataset inventory according to pre-defined attributes applied to any of the respective datasets. The Trust Score Engine generates a first trust score for a first dataset according to any determined social curation activities and any pre-defined attributes that correspond to the first dataset. The Trust Score Engine receives a selection of a trust score visualization functionality, via the user interface, with respect to the first dataset.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for a Trust Score Engine are directed to providing a user interface for identifying datasets collected into a dataset inventory wherein the dataset inventory may be displayed within the user interface. The Trust Score Engine determines social curation activities by respective user accounts that have been applied the datasets in the dataset inventory and validates the datasets in the dataset inventory according to pre-defined attributes applied to any of the respective datasets. The Trust Score Engine generates a first trust score for a first dataset according to any determined social curation activities and any pre-defined attributes that correspond to the first dataset. The Trust Score Engine receives a selection of a trust score visualization functionality, via the user interface, with respect to the first dataset.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for a Trust Score Engine are directed to providing a user interface for identifying datasets collected into a dataset inventory wherein the dataset inventory may be displayed within the user interface. The Trust Score Engine determines social curation activities by respective user accounts that have been applied the datasets in the dataset inventory and validates the datasets in the dataset inventory according to pre-defined attributes applied to any of the respective datasets. The Trust Score Engine generates a first trust score for a first dataset according to any determined social curation activities and any pre-defined attributes that correspond to the first dataset. The Trust Score Engine receives a selection of a trust score visualization functionality, via the user interface, with respect to the first dataset.