1649 results about "Environmental change" patented technology

A system and process that provides an on-line, interactive, and fully integrated benefit-driven value exchange and settlement program that monitors, evaluates, and manages economic and personal benefits and executes functions to produce and acquire the maximum or preferred benefit items for users by guiding and automating appropriate payment and settlement actions. The present invention finds useful patterns in data; produces conclusions based on rules and experience; responds to environmental changes with or without human intervention; and, may evolve through selecting the best results from random mutations all of which are intended to maximise user value.

Systems and methods for beamforming in radio frequency identification (RFID) applications are disclosed. A beamforming system uses a distributed architecture and techniques for antenna beamforming using a feedback control loop to direct radio frequency (RF) energy onto a specific region, referred to as an interrogation zone, which includes a calibration node where one or more RFID tags may be located. The distributed architecture of the beamforming system is resistant to fading and shadowing effects, providing accurate RFID reader operation even in environments with multi-path reflections or environmental changes, such as people moving around or changes in the location of equipment.

Hydrogels that expand volumetrically in response to a change in their environment (e.g., a change in pH or temperature) and their methods of manufacture and use. Generally, the hydrogels are prepared by forming a liquid reaction mixture that contains a) monomer(s) and / or polymer(s) at least portion(s) of which are sensitive to environmental changes (e.g., changes in pH or temperature), b) a crosslinker and c) a polymerization initiator. If desired, a porosigen may be incorporated into the liquid reaction mixture to create pores. After the hydrogel is formed, the porosigen is removed to create pores in the hydrogel. The hydrogel may also be treated to cause it to assume a non-expanded volume in which it remains until a change in its environment causes it to expand. These hydrogels may be prepared in many forms including pellets, filaments, and particles. Biomedical uses of these hydrogels include applications wherein the hydrogel is implanted in the body of a patient and an environmental condition at the implantation site causes the hydrogel to expand in situ.

Methods of compensating for drift in fingerprint spectra of microorganisms caused by changes in their environment are disclosed. These methods of compensating for drift permit identification of microorganisms from their fingerprint spectra regardless of the environment from which the microorganisms are obtained. Furthermore, the disclosed methods may be used to construct coherent databases of fingerprint spectra that may be expanded even though the standard database conditions are no longer experimentally achievable. In particular embodiments, methods of compensating for drift in pyrolysis mass spectra, constructing coherent pyrolysis mass spectral databases, and identifying bacteria from their pyrolysis mass spectra are disclosed.

A disk drive is disclosed for optimizing write current settings relative to drive operating characteristics and a plurality of ambient temperature readings. Test data is written to and read from the disk to generate quality metrics that are evaluated to generate an optimized write current setting for each ambient temperature reading. In one embodiment, the optimized write current settings are derived during manufacturing and used in-the-field during normal operation. In another embodiment, the optimized write current settings are re-optimized in-the-field to compensate for changes in the drive operating characteristics that occur over time (e.g., environmental changes and electrical and mechanical changes).

The heterocycle-containing aromatic polyamide fibers of the invention are excellent in balance among mechanical characteristics, particularly balance among tensile strength, initial modulus and strength in the direction perpendicular to the fiber axis, exhibit a high strength holding ratio under heat and humidity, and are excellent in flame retardancy, bulletproofness and cutting resistance, as compared to conventional aromatic polyamide fibers, and therefore can be favorably used in fields with severe mechanical characteristics and have stability to environmental variation. Accordingly, the heterocycle-containing aromatic polyamide fibers of the invention can be favorably used, for example, in fields including protective equipment, such as a helmet, a bulletproof vest and the like, a chassis for an automobile, a ship and the like, an electric insulating material, such as a printed circuit board and the like, and other various fields.

A data management system or “DMS” provides an automated, continuous, real-time, substantially no downtime data protection service to one or more data sources associated with a set of application host servers. To facilitate the data protection service, a host driver embedded in an application server captures real-time data transactions, preferably in the form of an event journal that is provided to other DMS components. The driver functions to translate traditional file / database / block I / O and the like into a continuous, application-aware, output data stream. The host driver includes an event processor that provides the data protection service, preferably by implementing a finite state machine (FSM). In particular, the data protection is provided to a given data source in the host server by taking advantage of the continuous, real-time data that the host driver is capturing and providing to other DMS components. The state of the most current data in DMS matches the state of the data in the host server; as a consequence, the data protection is provided under the control of the finite state machine as a set of interconnected phases or “states.” The otherwise separate processes (initial data upload, continuous backup, blackout and data resynchronization, and recovery) are simply phases of the overall data protection cycle. As implemented by the finite state machine, this data protection cycle preferably loops around indefinitely until, for example, a user terminates the service. A given data protection phase (a given state) changes only as the state of the data and the environment change (a given incident).

A liquid droplet ejecting head includes: one or more nozzle holes ejecting liquid droplets; one or more pressure liquid chambers communicating with the nozzle holes and containing liquid to be ejected; a common liquid chamber communicating with the pressure liquid chambers; one or more diaphragms each forming a wall face of the corresponding pressure liquid chamber; one or more vibration chambers containing air gaps provided in contact with the diaphragms on the opposite side from the pressure liquid chambers; and one or more electrodes provided to oppose the diaphragms through the air gaps. The liquid droplet ejecting head further includes: a deformable plate whose deformation is greater than the total deformation of the diaphragms, the deformable plate forming a wall face of the common liquid chamber, and a pressure correcting chamber provided across the deformable plate from the common liquid chamber so as to communicate with the vibration chambers.

An intelligent instrumented air cleaner comprises a multi-functional sensor, a central processor, a cloud server, a wireless communication module, a purification device, an alarm device, a motor driving mechanism and a humidifier. According to the intelligent instrumented air cleaner, updating and exchange of memory data are realized through the connection between the wireless communication module and a cloud server of the Internet of Things, the air cleaner is controlled through the connection between a mobile device and the cloud server so that a remote controller can be replaced, remote network control is also realized, the cloud server also has an analysis function and a processing result advice providing function and sends processed data to users for reference, the users can set the working state of the air cleaner by themselves and define working strategies by themselves, the air cleaner saves the strategies automatically and performs actions according to the strategies, and self-selection of self-learning setting optimization is conducted on the data in a memory through big data analysis and processing. By the adoption of the intelligent instrumented air cleaner, an intelligent instrumented household net and an intelligent instrumented office net are realized in the true sense, air is purified, safe and reliable living and working environments are provided, useless consumption of electric energy of a traditional air cleaner is avoided, energy consumption is reduced, using pleasure of a user is improved, the parameters of the environment where the user is located are provided for the user in time, and reliable parameters and solutions are provided for environment change handling.

Disclosed is a photometer that employs high dynamic range (HDR) image processing and manipulation algorithms for capturing and measuring real-time sky conditions for processing into control input signals to a building's automated fenestration (AF) system, daylight harvesting (DH) system and HVAC system. The photometer comprises a color camera and a fitted fish-eye lens to capture 360-degree, hemispherical, low dynamic range (LDR) color images of the sky. Both camera and lens are housed in a sealed enclosure protecting them from environmental elements and conditions. In some embodiments the camera and processes are controlled and implemented by a back-end computer.

A data management system or “DMS” provides an automated, continuous, real-time, substantially no downtime data protection service to one or more data sources associated with a set of application host servers. To facilitate the data protection service, a host driver embedded in an application server captures real-time data transactions, preferably in the form of an event journal that is provided to other DMS components. The driver functions to translate traditional file / database / block I / O and the like into a continuous, application-aware, output data stream. The host driver includes an event processor that provides the data protection service, preferably by implementing a finite state machine (FSM). In particular, the data protection is provided to a given data source in the host server by taking advantage of the continuous, real-time data that the host driver is capturing and providing to other DMS components. The state of the most current data in DMS matches the state of the data in the host server; as a consequence, the data protection is provided under the control of the finite state machine as a set of interconnected phases or “states.” The otherwise separate processes (initial data upload, continuous backup, blackout and data resynchronization, and recovery) are simply phases of the overall data protection cycle. As implemented by the finite state machine, this data protection cycle preferably loops around indefinitely until, for example, a user terminates the service. A given data protection phase (a given state) changes only as the state of the data and the environment change (a given incident).

The present invention relates to a power switch, data system, interface and a data structure for controlling power outlets on one or more power switches. Each power switch comprises a sensor bus and watt meters in order to be able to monitor power consumption and environmental changes. Furthermore the power switches comprises a memory and a processor in order to be able to automatically control the power outlets without interference from a user terminal.

A system for sensing environmental conditions on a window assembly. The system includes a transparent panel and a sensor integrated onto the panel. The sensor being configured to sense environmental changes on the panel. The sensor may comprise conductive inks that are printed onto the window assembly. The window assembly may comprise a plastic panel, such as a multilayer polycarbonate panel such that a portion of the sensor may be located on the one layer of the panel while another portion of the sensor overlaps the first portion on a second layer of the window. The sensor may be a resistive or capacitive sensor and may be configured to detect changes in one or more environmental conditions, such as temperature or moisture. Further, the sensor may be in electrical communication with a controller configured for control various vehicle subsystems based on the sensor.

A system for sensing environmental conditions on a window assembly. The system includes a transparent panel and a sensor integrated onto the panel. The sensor being configured to sense environmental changes on the panel. The sensor may comprise conductive inks that are printed onto the window assembly. The window assembly may comprise a plastic panel, such as a multilayer polycarbonate panel such that a portion of the sensor may be located on the one layer of the panel while another portion of the sensor overlaps the first portion on a second layer of the window. The sensor may be a resistive or capacitive sensor and may be configured to detect changes in one or more environmental conditions, such as temperature or moisture. Further, the sensor may be in electrical communication with a controller configured for control various vehicle subsystems based on the sensor.

A system for locating a wireless device involves the use of the measured signal strength of various base stations in the building or outdoor area under analysis. A topological map of the building or outdoor area under analysis is created. The map is divided into cells, and signal intensities are collected in each cell. For each cell, the signal from a particular base station is fit to a statistical distribution, such as a Gaussian distribution, and the parameters of the statistical distribution are estimated. After a device obtains a set of signal strength measurements, a probabilistic technique is employed to estimate the probability of the existence of the measurements in each of the cells of the building or area under analysis. The estimated location is the cell with the highest probability. A mobile user is tracked with the use of a Markov chain and the system can be calibrated to account for equipment and environmental variations.

The system described here is an improvement on ways to provide security and supply chain tracking for shipping containers. The system has a bolt-type seal lock module mounted on the container that has data storage capability and the capability to sense when the bolt is cut or certain environmental changes like impact. The system also includes a bolt-type seal lock that has data storage capability. The electronics module can be connected via wireless means to a centralized data base for the interchange of data. Individual modules or seal locks can be networked with each other to transmit data to and from a stack of metal shipping containers.

An apparatus and method for waking up a main processor (MP) in a low power or ultra-low power device preferably includes the MP, and a sub-processor (SP) that utilizes less power than the MP to monitor ambient conditions than the MP, and may be internalized in the MP. The MP and SP can remain in a sleep mode while an interrupt sensor monitors for changes in the ambient environment. A sensor is preferably an interrupt-type sensor, as opposed to polling-type sensors conventionally used to detect ambient changes. The MP and SP may remain in sleep mode, as a low-power or an ultra-low power interrupt sensor operates with the SP being in sleep mode, and awakens the SP via an interrupt indicating a detected change. The SP then wakes the MP after comparing data from the interrupt sensor with values in storage or with another sensor.

Provided is an RFID tag suitable for detecting a change of the RFID tag environment in real time by a simple and low-cost system. The system and the method for detecting a change of the RFID tag environment are also provided. An RFID tag (2) is provided with an antenna (20), a wireless communication IC (21) for transmitting / receiving radio waves through the antenna (20), and an element (22A) of which characteristics change corresponding to a change of the physical quantity of the RFID tag environment. Gain of the antenna (20) changes due to a change of the characteristics of the element (22A). When the environment of the RFID tag (2) changes, gain of the antenna (20) is reduced or increased by the element (22A). Thus, the RFID tag (2) is brought into a state where answering waves (ANS) to interrogation waves (RQ) transmitted from a tag communication device (3) can be transmitted and into a state where such waves cannot be transmitted, and the change of the environment of the RFID tag (2) can be detected in real time, depending on whether the answering waves (ANS) are received or not.

A method for creating an artificial intelligence entity, specifically an artificial intelligence that is sentient and sapient is provided. The invention is capable of intelligence, human interaction, adaptive / modifiable code and thought, reasoning, learning; autonomous self-organization based on environment changes, interaction, and / or internal activity only; and other advance features. This permits a non-human, including a computer software entity, to become conscious or self-aware and interact, with the ability for sapience and understanding, as if it were human. It also has the ability to integrate with other electronic, non-electronic, or suitable devices.

The invention provides a ship intelligent identification tracking method. For the ship intelligent identification tracking method, based on a deep learning algorithm based on computer vision, a basicclassification network structure and a multi-scale target prediction method in traditional deep learning are improved, and a Darknet network and a YOLOv3 algorithm are combined to track a ship and detect and identify the type of the ship in real time. According to the ship intelligent identification tracking method, the idea of a residual error network is introduced; a full convolution structure is adopted; the network depth is increased; the data feature learning capability is improved; and local feature interaction between the feature maps is achieved in a convolution kernel mode through a YOLOv3 algorithm, and matching and positioning of targets are conducted, and target area prediction and category prediction are integrated into a single neural network model on the basis, so that global information of the images is recognized as the targets. Experimental results show that compared with a traditional method, the algorithm provided by the invention not only has better real-time performance and accuracy, but also has better robustness for various environmental changes.

The invention provides a high-stability optical fiber Fabry-Perot pressure sensor packaged without glue and a manufacturing method. The sensor comprises a sensor head, a sensor body with a through-hole in middle, and an optical fiber, wherein a four-layer structure (comprising a first monocrystalline silicon piece, a first Pyrex sheet glass, a second monocrystalline silicon piece and a second Pyrex sheet glass) is adopted by the sensor head; a first reflecting surface of a Fabry-Perot cavity is formed by the back surface of the first monocrystalline silicon piece; the second monocrystalline silicon piece is used for providing a second reflecting surface of the Fabry-Perot cavity; the second Pyrex sheet glass is in butt fusion with the sensor body; and the optical fiber is fixedly arrangedin the sensor body by adopting a CO2 laser, and thereby non-glue packaging is realized. When the first layer of monocrystalline silicon piece is deformed by external pressure changes, the length of the optical fiber Fabry-Perot cavity is changed; and after a broadband light source is accessed to the sensor, the change of the cavity length can be extracted through collecting a reflection spectrum of the sensor or extracting low-coherence interference fringes of the sensor, and thereby pressure information is obtained. By adopting the structure, the influences of environmental changes such as the temperature, the humidity, and the like can be effectively eliminated, and the measurement accuracy can be greatly improved.

The invention provides a convolutional neural network based vehicle logo identification method. The method is specifically implemented by the following steps of: (1) inputting a to-be-detected picture shot by a high-resolution camera device in a traffic intersection; (2) positioning a vehicle logo; (3) constructing and training a convolutional neural network; and (4) identifying the vehicle logo. With the adoption of the convolutional neural network (CNN) based vehicle logo identification method, the shortcomings of complicated extraction feature operator, poor timeliness and complicated model in the prior art can be effectively overcome, and the calculation amount is effectively reduced; and features of CNN self-learning have higher robustness on environmental change, so that the identification rate of the vehicle logo is increased.

The invention provides a human body movement recognition method based on convolutional neural network feature coding and mainly aims to solve the problems of complicated calculation and low accuracy in the prior art. According to the implementation scheme, TV-L1 is utilized to obtain a video light steam graph; convolutional neural network coding, local feature accumulation coding, dimension-reducing whitening processing and VLAD vector processing are sequentially performed in a video space direction and a light stream movement direction, and space direction VLAD vectors and movement direction VLAD vectors are acquired; and information in the video space direction and information in the light steam movement direction are merged to obtain human body movement classification data, and then classification processing is performed. According to the method, convolutional features are subjected to local feature accumulation coding, so that the recognition rate is increased when complicated background data is processed, and the calculated amount is reduced; the features acquired by fusing video VLAD vectors and light stream VLAD vectors has higher robustness to environmental changes, and the method can be used for performing detection and recognition on human body movement in a monitoring video in areas such as a community, a shopping mall and a privacy occasion.

The present invention discloses a method and system for automatically enabling a computer to preserve data in response to an environmental change, respond to motion or sound, or be responsive to the arrival or actions of a person. In one embodiment, the computer monitoring system comprises at least one sensor for determining the existence of motion external to a computer where, upon detecting motion, the sensor communicates a signal to a receiver, which is in data communication with the computing device, and a program coupled to the receiver where the program comprises routines for receiving user input defining what programs or files to close, open, play, minimize, or maximize upon receiving a signal from the receiver.

The invention proposes a selective search and convolutional neural network based vehicle logo recognition method, and mainly solves the problems of complicated calculation and poor timeliness in the prior art. According to the implementation scheme, the method comprises the steps of 1) inputting a to-be-detected picture shot by a high-definition shooting device in a traffic intersection; 2) carrying out selective search for the to-be-detected picture to obtain candidate regions; 3) screening the candidate regions to obtain vehicle logo candidate regions; and 4) constructing and training a convolutional neural network (CNN) and inputting the logo candidate regions into the trained CNN for testing to obtain a vehicle logo recognition result. According to the method, the calculation amount is effectively reduced, the vehicle logo candidate regions can be quickly obtained, a self-learning characteristic of the CNN has higher robustness for environmental change, and the vehicle logo recognition rate is increased; and the method can be used for quick detection of freeway entrances and parking spaces to vehicles.

A method and multi-scale attention system for the detection of objects and temporal change regions by a spatiotemporal attention operator of an image sequence, which linearly aggregates temporal change filter with spatial saliency filter and includes an extractor of salient maxima, which selects consecutive salient maxima of the spatiotemporal operator to produce the locations of the objects of interest and the centers of temporal change regions. The concept of spatial local scale introduced into the system and method for its determination allows for a scale-adaptive integration of the temporal change with spatial saliency and effective detection of different in size and location objects of interest. Can be used for object and spatiotemporal change detection in monitoring pollution, natural disasters, weather conditions and environmental changes based on satellite remote sensing imagery from various sensors.

The present invention relates to an apparatus and method for controlling a multi-robot linked in virtual space, and when an event is generated in accordance with information change in virtual space including the web as well as the environmental change around a robot, the present invention controls individual behavior or collective behavior or corresponding robots by transmitting behavior data corresponding to the generated event to a plurality of robots. According to the present invention, by making a robot perform specific behavior in response to not only changes in the real environment, but information changes in the web, it is possible to arouse the user's interest or the developer's originality while removing due to complicity of the real environment, which is a problem limiting application of the robot, or dynamic response.

Articles of footwear may include self-adjusting studs that adjust to various types of conditions, environmental changes, and applied forces. The self-adjusting studs may have a first portion and a second portion of different levels of compressibilities and / or retractabilities that compress and extend based on the type of surface on which the wearer is walking or running This footwear with self-adjusting studs may easily transition between surfaces of varying hardness without causing damage to the surface, but also providing the wearer with the necessary amount of traction on each type of surface. Wearers will enjoy the benefit of being able to move on various surfaces without the need to change their footwear multiple times to accommodate the wearer's varying traction needs on different surfaces.