Abstract: The present invention relates to a thermoplastic composition comprising an amorphous polyamide polymer for use in 3D printing, the respective use and methods for forming objects by 3D printing using the thermoplastic compositions described herein.

Abstract: The present invention relates to a thermoplastic composition comprising an amorphous polyamide polymer for use in 3D printing, the respective use and methods for forming objects by 3D printing using the thermoplastic compositions described herein.

Abstract: The present invention relates to a method and an apparatus for detecting anomalies of a DNS traffic in a network comprising analysing, through a network analyser connected to said network, each data packets exchanged in the network, isolating, through the network analyser, from each of the analysed data packets the related DNS packet, evaluating, through a computerized data processing unit, each of the DNS packets generating a DNS packet status, signaling, through the computerized data processing unit, an anomaly of the DNS traffic when the DNS packet status defines a critical state, wherein the evaluating further comprises assessing, through the computerized data processing unit, each of the DNS packet by a plurality of evaluating algorithms generating a DNS packet classification for each of the evaluating algorithms, aggregating, through the computerized data processing unit, the DNS packet classifications generating the DNS packet status, and wherein the critical state is identified when the DNS packet sta

Abstract: A specific polyamide polymer which is obtainable by two specific processes according to the invention. The invention further relates to the use of this polyamide polymer as a functional additive and to detergent compositions, cosmetic compositions, cleaning compositions and adhesive compositions including this polyamide polymer.

Abstract: The present invention relates to a method and an apparatus for detecting anomalies of a DNS traffic in a network comprising analysing, through a network analyser connected to said network, each data packets exchanged in the network, isolating, through the network analyser, from each of the analysed data packets the related DNS packet, evaluating, through a computerized data processing unit, each of the DNS packets generating a DNS packet status, signaling, through the computerized data processing unit, an anomaly of the DNS traffic when the DNS packet status defines a critical state, wherein the evaluating further comprises assessing, through the computerized data processing unit, each of the DNS packet by a plurality of evaluating algorithms generating a DNS packet classification for each of the evaluating algorithms, aggregating, through the computerized data processing unit, the DNS packet classifications generating the DNS packet status, and wherein the critical state is identified when the DNS packet sta

Abstract: The present invention relates to a thermoplastic composition comprising an amorphous polyamide polymer for use in 3D printing, the respective use and methods for forming objects by 3D printing using the thermoplastic compositions described herein.

Abstract: A specific polyamide polymer which is obtainable by two specific processes according to the invention. The invention further relates to the use of this polyamide polymer as a functional additive and to detergent compositions, cosmetic compositions, cleaning compositions and adhesive compositions including this polyamide polymer.

Abstract: A monitoring network is formed by a terrestrial network and a satellite network. The terrestrial network has a plurality of sensor nodes which send a data packets. The data packets are forwarded through sink nodes toward a satellite and a monitoring station in the satellite network. The monitoring station performs a dynamic selection process for dynamically associating each sensor node to at least one selected sink node among the plurality of sink nodes, thereby the data packets sent by the sensor nodes are transmitted to the satellite through only the selected sink node.

Abstract: A monitoring network is formed by a terrestrial network and a satellite network. The terrestrial network has a plurality of sensor nodes which send a data packets. The data packets are forwarded through sink nodes toward a satellite and a monitoring station in the satellite network. The monitoring station performs a dynamic selection process for dynamically associating each sensor node to at least one selected sink node among the plurality of sink nodes, thereby the data packets sent by the sensor nodes are transmitted to the satellite through only the selected sink node.

Abstract: A Design Failure Mode Effect Analysis (DFMEA) method analyzes faults and failures in the design phase of electronic devices. A data-entry mask is used for recording some information concerning the performed analysis and a portion of the recording form is displayed to a user in an electronic display format. The method detects and records past design problems and their corresponding solutions, by a DFMEA method using the data-entry mask form; associates keywords in a database with each problem; associates data concerning each of the design problems, in the same database, including information concerning past fails occurred in similar applications; detects major changes and/or innovations, as well as any improved block or part of a new device with respect to other devices, thereby postulating possible new problems introduced by the new device; and records the new problems and their possible solutions, by the DFMEA method and using the form.

Abstract: A Design Failure Mode Effect Analysis (DFMEA) method analyzes faults and failures in the design phase of electronic devices. A data-entry mask is used for recording some information concerning the performed analysis and a portion of the recording form is displayed to a user in an electronic display format. The method detects and records past design problems and their corresponding solutions, by a DFMEA method using the data-entry mask form; associates keywords in a database with each problem; associates data concerning each of the design problems, in the same database, including information concerning past fails occurred in similar applications; detects major changes and/or innovations, as well as any improved block or part of a new device with respect to other devices, thereby postulating possible new problems introduced by the new device; and records the new problems and their possible solutions, by the DFMEA method and using the form.

Abstract: Described is a Design Failure Mode Effect Analysis (DFMEA) Method for analyzing faults and failures in the design phase of electronic apparatus and devices. A data-entry mask is used for recording some information concerning the performed analysis and a portion of the recording form is displayed to a user in an electronic display format.