1338 results about "Information layer" patented technology

Systems and methods for discovery and classification of denial of service attacks in a distributed computing system may employ local agents on nodes thereof to detect resource-related events. An information later agent may determine if events indicate attacks, perform clustering analysis to determine if they represent known or unknown attack patterns, classify the attacks, and initiate appropriate responses to prevent and/or mitigate the attack, including sending warnings and/or modifying resource pool(s). The information layer agent may consult a knowledge base comprising information associated with known attack patterns, including state-action mappings. An attack tree model and an overlay network (over which detection and/or response messages may be sent) may be constructed for the distributed system. They may be dynamically modified in response to changes in system configuration, state, and/or workload. Reinforcement learning may be applied to the tuning of attack detection and classification techniques and to the identification of appropriate responses.

An apparatus for automatically suggesting information layers in augmented reality may include a processor and memory storing executable computer program code that cause the apparatus to at least perform operations including providing layers of information relating to virtual information corresponding to information indicating a current location of the apparatus. The computer program code may further cause the apparatus to determine that a layer(s) of information is enabled to provide virtual information for display. The virtual information corresponds to locations of real world objects in or proximate to the current location. The computer program code may further cause the apparatus to determine other information layers associates with content for the current location based on the number of items virtual information for the enabled layer being below a threshold and automatically suggest one or more other layers of information for selection. Corresponding methods and computer program products are also provided.

The invention discloses a coding/decoding method for fountain codes. The coding method comprises the following steps: dividing raw data blocks into different information layers in the descending order of priority; precoding each information layer at the same code rate, connecting the obtained coded layers in a cascade mode, and sending to a priority LT coder to carry out LT coding; and in the coding process, dynamically adjusting the size of the input symbol set of each code symbol according to the adjustment parameter, and controlling the unequal protection degrees of data in different priorities. The decoding method comprises the following steps: a priority LT decoder decodes the received coded data packet to obtain output data with unequal error protection functions; a data diverter divides the output data into different coded layers according to the number of layer; and each coded layer is respectively sent into the corresponding precoding decoder to decode the precoding, thereby restoring each information layer. The invention also discloses a coding/decoding device for fountain codes. By using the invention, video can be efficiently and reliably transmitted in a layered multicasting environment.

The invention relates to a digital twin system of an intelligent production line, which comprises a physical space layer, an information layer and a virtual space layer. The physical space layer is composed of a physical production line, intelligent sensing devices and an industrial control network. The information layer includes a data conversion module, a data analysis module and a production line information database. The virtual space layer can adapt to a variety of platforms and environments including personal computers and handheld devices, is used for generating a virtual production line consistent with the physical production line by a 3D visual engine through online real-time and offline non-real-time rendering under the driving of the production line information database of the information layer, and has the functions of multi-angle of view visual display, natural interaction, state monitoring and so on. The real-time state information of the physical production line is collected by various intelligent sensing devices, and based on the information, a three-dimensional visual engine is driven to generate a virtual production line model consistent with the physical production line through rendering, thereby realizing the twin mirror image of the virtual production line and the physical production line.

The invented antifalse mark is different from general color printing label and traditional holographic mark on aluminum foil. The mark includes basal lamina, information layer, isolation layer, color printing layer, special type printing layer and not dried glue layer etc. Technical flow includes following procedures: designing, plate making, raw materials preparing, die pressing, color printing, special type printing, glue spreading, die cutting, parting cut and checking up pack. The invention possesses advantages of integrating multiple antifalse techniques, easy of recognition and convenient use.

A multilayer optical memory of WORM (write-once-read-many) type has photosensitive layers with fluorescent reading. The disc contains a transparent substrate and multiple information layers spatially divided from one another by polymer layers and assembled using adhesive layers. Information is stored in a photosensitive substance within spiral grooves. The photosensitive substance can be formed as a continuous layer or as discrete grooves on a non-photosensitive background. Various compositions for the photosensitive substance allow recording in by changing fluorescence bleaching or emitting, with threshold-type recording.

A method and apparatus is disclosed herein for receiving a layered transmission of data in a wireless communication system using an iterative layered receiver structure. In one embodiment, a receiver comprises a layer 1 demapper and a layer 1 outer decoder to iteratively decode layer 1 of the coded data, and a layer 2 demapper and a layer 2 outer decoder to iteratively decode layer 2 of the coded data, wherein the layer 1 demapper generates a layer 1 set of likelihood estimates only for bits of the first information layer of received signal data in each of one or more iterations and where the layer 1 set of likelihood estimates are generated in response to the received signal data and, in at least one of the one or more iterations, also in response to one or more of the likelihood estimates generated by the outer decoders in decoding schemes for at least one layer other than layer 1; the layer 1 outer decoder updates the layer 1 likelihood estimates from the layer 1 demapper and feedbacks the updated layer 1 likelihood estimates to the layer 1 demapper for use in another iteration of iterative decoding; the layer 2 demapper generates a layer 2 set of likelihood estimates only for information bits of the layer 2 of received signal data in each of one or more iterations, and where the layer 2 set of likelihood estimates are generated in response to the received signal data and, in at least one of the one or more iterations, also in response to one or more of the likelihood estimates generated by the outer decoders in decoding schemes for at least one layer other than layer 2; and the layer 2 outer decoder updates the layer 2 likelihood estimates from the layer 2 demapper and feedbacks the updated layer 2 likelihood estimates to the layer 2 demapper for use in another iteration of iterative decoding.

The invention relates to a monitoring system for power transmission and transforming equipment, in particular to a capacitive equipment dielectric loss angle online monitoring system. The system is characterized by at least comprising a microprocessor, a leakage current signal acquisition module, a GPS synchronization module, a wireless communication module, an A/D sampling unit, and a frequency measurement sampling unit; in structure, a centralized management mode is used, a wireless data transmission technology and an Internet network technology are applied, and a layered distributed structure is achieved; according to the functional requirements, the invention divides the system into a monitoring layer, a control layer and an information layer. The manufacturer and operating management department (client) can visit the system in different places by only installing browser software and thus easily achieve remote maintenance and monitoring.

The invention discloses a three-dimensional assembling technology design system based on information physical fusion and an operation method thereof. The actual assembling environment and the virtualassembling system are combined by the system through the information physical fusion technology, the actually measured data of the critical elements/components/parts are acquired through the field equipment of the physical layer, the actually measured data are transmitted to the virtual information layer through the communication layer and used as the digital twin model data of product virtual-actual mapping to be used for virtual assembling three-dimensional technology planning and design, assembling precision prediction and the online correction instruction are given through virtual assembling simulation and process optimization and feedback control are performed on the field assembling activity so that the digital twin model can be continuously and dynamically updated to meet the product assembling design requirements, and finally the operator is guided to complete the product assembling task by three-dimensional technology demonstration. The trial assembling and repair time in theassembling activity can be reduced so that the product field assembling efficiency can be guaranteed and the product assembling accuracy and assembling accuracy can be enhanced.

Provided are a workshop-grade smart manufacture system based on digital twins and a configuration method thereof. According to the workshop-grade smart manufacture system, a system architecture composed of a physical layer, a network layer and an information layer is adopted. According to the configuration method of the workshop-grade smart manufacture system, digital twins of an article in process and a manufacture source are built, mapping relations between the digital twins and the article in process and between the digital twins and the manufacture source are also built, in this way, a workshop human-machine-article self-government interaction mechanism is formed, and workshop perception-calculation-execution-feedback-decision closed-loop manufacture logic is achieved. By the adoptionof the workshop-grade smart manufacture system based on the digital twins and the configuration method thereof, a digital twin technology is applied to workshop-grade smart manufacture system modelingand simulating, an optimized smart workshop production operation scheme is given, support is provided for improving the production flexibility, self-government capacity and dynamic response capacityof industry workshops, and certain references are provided for transforming and upgrading traditional manufacture workshops into smart manufacture workshops.

Software in MPU builds united message model to realize protocol conversion in application layer among MODBUS/ TCP industrial Ethernet, DeviceNet field bus and Profibus DP field bus. Corresponding interface module and communication adapter modules at main nodes realize their relevant protocols. Through an internal bus, protocol conversion device built from a MPU is connected to industrial Ethernet interface module, DeviceNet communication adapter module at main node, Profibus DP communication adapter module at main node and a SRAM. Through a serial peripheral interface, MPU is connected to an electrically erasable memory. The invention solves converting protocols based on different standards. One communication frame is compatible to multiple industrial communication networks so as to meet requirements of network real-time at low-layered devices as well as high rate and large capacity of network on information layer.

According to one aspect, methods and systems for recording and reading holographic storage media are provided. In one aspect, a method includes illuminating a data mask with a beam and recording a resulting modulated beam in a holographic storage medium, wherein the data mask includes an information layer that is divided into multiple data pages, and propagating a reference beam to the holographic storage medium to record the multiple data pages of the data mask in a parallel fashion on the holographic storage medium.

A system and method for modeling, controlling and analyzing electrical grids for use by control room operators and automatic control provides a multi-dimensional, multi-layer cellular computational network (CCN) comprising an information layer; a knowledge layer; a decision-making layer; and an action layer; wherein each said layer of said CCN represents one of a variable in an electric power system. Situational awareness/situational intelligence is provided therefrom so that the operators and grid control systems can make the correct decision and take informed actions under difficult circumstances to maintain a high degree of grid integrity and reliability by analyzing multiple variables within a volume of time and space to provide an understanding of their meaning and predict their states in the near future where these multiple variables can have different timescales.

An information recording medium includes a substrate and an information layer formed on the substrate. The information layer includes a recording layer whose phase can be changed between a crystalline phase and an amorphous phase by irradiation with a laser beam or application of electric energy; a Cr-containing layer including at least Cr and O, arranged in contact with a first surface of the recording layer; and a Ga-containing layer including at least Ga and O, arranged in contact with a second surface of the recording layer.

The invention relates to an electrical fire warning system based on data fusion. According to the scheme, the electrical fire warning system comprises an information layer, a feature layer and a decision-making layer, and further comprises an electric arc detection device; when the electric arc detection device detects electric arc signals, the detected electric arc signals pass through a signal preprocessing device and a signal transmission device and then are transmitted to an early warning system to achieve system early warning, meanwhile, the feature layer is started to conduct fusion processing on fire feature signals collected by sensors, and when no electric arc is generated, the feature layer collects data of the information collecting layer in real time to carry out monitoring on electrical fires. In the electrical fire warning system, the phenomenon that electric arcs are generated before fire signals are generated in electrical fires is utilized, the early warning function of the system is achieved by detecting the electric arc signals, fuzzy logic is introduced while the neural network algorithm is adopted, the defect that the neural network is not easy to understand can be compensated for a large degree, accurate fitting can be carried out on existing fire data through the neural network, and fuzzy reasoning can be carried out through the fuzzy logic through a small amount of known fire data.

A scratch-off document may include a substrate. The substrate may include a front side and a backside with an information layer on the front side. An information layer may include an indicia component and a noise component. The noise component together with the indicia component may include a plurality of pile heights, and the indicia component may be visible when combined with the noise component. A scratch-off layer is included over the information layer so that the indicia component is not recognizable through the scratch-off layer.

A BCA mark is applied prior to molding of optical recording media. A stamper including a BCA code is formed. The stamper including the BCA code is used in the molding of optical recording discs. This technique can be used in manufacturing of read-only type discs, recordable discs, rewritable discs, hybrid discs, discs readable from both disc sides, discs having multiple information layers, high-density discs, etc.

Improved techniques for forming a reflective layer of an optical disc are provided. One improvement includes forming the reflective layer over an information layer of the disc by utilizing a metallizer and a masking device having an angled lip configured to align to an outer edge of the information layer. The masking device allows the applied reflective layer to extend to the outer diameter edge of the information layer, and shields plasma generated by the metallizer from reaching internal components of the metallizer. The masking device may include a pusher having a spring mechanism attached to an inner masking portion of the masking device. When the disc and the pusher are brought into relative contact with each other by application of a first force to at least one of the masking device and the disc towards the other, the pusher is spring-loaded and is pushed up into a recess of the inner masking portion, and when the first force is removed, the spring-loaded force of the pusher pushes the disc away from the masking device.

A mountain geological disaster monitoring and prewarning system based on digital twin driving comprises data acquisition sensors arranged on a physical layer, a DT monitoring module, a DT prediction module and a DT prewarning module arranged on an information layer, and clients on a visualization layer. A monitoring and prewarning method comprises the following steps: Step 1, investigation is carried out on a geological environment, and a monitoring plan is obtained for focused monitoring on a current area; Step 2, real-time data is obtained according to the monitoring plan obtained in Step 1,and historical geological disaster data are all stored in a geological disaster digital twin database and analyzed in the DT prediction module; Step 3, BP neural network analysis is carried out in the DT prediction module based on the historical geological disaster data to obtain a geological disaster prediction model; and Step 4, the monitoring data obtained in Step 2 is stored in the geologicaldisaster twin database to obtain prediction results, and the prediction results are sent to the clients for visualization. The system and method provided by the invention has the characteristics thatthe personal safety of residents, tourists and the like can be protected, and economic losses can be reduced.

The invention discloses an overlay convolutional network-based rolling bearing failure mode recognition method and device, and relates to the field of rolling bearing failure diagnosis. The method comprises the following steps of: extracting a time-frequency domain feature of a vibration signal of a state-known rolling bearing; normalizing the obtained time-frequency domain feature of the state-known rolling bearing into a feature pixel according to a CNN network input format; inputting the feature pixel into a CNN network, and adjusting a model parameter of the CNN network through carrying out forward self-learning and gradient descent-based counter-propagation on the CNN network so as to obtain a trained CNN network; and during the recognition of a practical rolling bearing failure mode, extracting high-order features capable of reflecting intrinsic information layer by layer by utilizing the trained CNN network by taking a time-frequency domain feature of a vibration signal of a state-unknown rolling bearing, and inputting results of the feature self-learning into a top classifier layer by layer, so as to realize failure mode recognition of the rolling bearings under multiple working conditions and strong noises.