24 results about "Low activity" patented technology

Methods and apparatus for using exempt gamma photon sources to measure fluid properties are described herein. The gamma photon sources are used with detectors in an arrangement that provides a short photon path length between source and detector. Fluid measurement devices described herein have a fluid container defining an interior, an exempt gamma-ray source located outside the fluid container, and a gamma-ray detector located outside the fluid container, the exempt gamma photon source and the gamma-ray detector defining a photon path that traverses the interior of the fluid container along a non-diametric chord of the fluid container.

An arbiter is operable to pick commands from a command queue to dispatch to a memory. The arbiter includes a traffic throttling circuit to cooperate with one or more additional arbiters to mitigate excess power usage increases. The traffic throttling circuit includes a monitoring circuit and a throttling circuit. The monitoring circuit is to measure a number of read and write commands picked by the arbiter and the one or more additional arbiters within a first predetermined time period. The throttling circuit is to limit a number of read and write commands issued by the arbiter during a second predetermined time period in response to a low activity state.

A method (600) and a wireless communication device enable direct handover of an application running on a non-3GPP network between non-3GPP gateways to different 3GPP networks. When it is monitored (610) that the application identifies (620) a low activity state, a direct switch is performed. The direct handover includes releasing (630) a first connection to the first 3GPP network via the first non-3GPP gateway, and establishing (640) a second connection of the application to the second 3GPP network via the second non-3GPP gateway.

A method for monitoring a recumbent patient to obtain information on a body position of the patient comprises the steps of emitting electromagnetic waves by a sender (11) arranged in a distance from the patient, receiving electromagnetic waves reflected by the patient by a receiver (12, 13, 14) arranged in a distance from the patient, determining a movement activity level from an amplitude and / or phase of the received electromagnetic waves, classifying the activity level into at least one high activity level class and into at least one low activity level class and analyzing the amplitude and / or phase of the received electromagnetic waves relating to an activity level classified in the at least one low activity level class to obtain the information on the body position of the patient.

The present application relates to a RFID-based fixed asset inventory method and system, the present application collects the historical reading data of the current time period, analyzes the historical reading data to obtain the reference inventory period of the current time period. Then analyze the shelf image of multiple time points in the current time period, analyze the activity of RFID tags in each storage unit, shorten the inventory period of the fixed assets with high activity, through high-frequency inventory, the differences can be found and corrected in time, ensure the real-time accuracy of the inventory data of key assets, reduce the risk of information error. For the fixed assets with low activity, the inventory period is extended. The present application concentrates the limited inventory resources (manpower, time) on key fixed assets, avoids wasting resources on low-activity materials, and improves the overall inventory efficiency.

The present application relates to the technical field of microorganisms, in particular to a strain of Trichoderma reesei SDU1010, spore suspension and application, the Trichoderme reesei strain SDU1010 is preserved in the China General Microbiological Culture Collection Center on April 7, 2026, and the preservation number is CGMCC No. 3.29531.The Trichoderma reesei strain SDU1010 provided in the present application can effectively produce cellulase under acidic conditions with pH value of 2.5-5.5, effectively makes up the defect of low activity of key enzyme components under acidic conditions of existing strains, and improves the synergistic efficiency of cellulose degradation.

Systems and methods for saving energy at a base station are provided. A low activity period of the base station may be determined based on historical traffic parameters and / or a utilization of the base station falling below a pre-determined threshold. The base station ceases transmissions at a beginning of the low activity period. One or more UEs may connect to one or more nodes of a non-terrestrial radio access network (RAN). The base station resumes transmissions at an end of the low activity period.

The hardware Trojan detection method and system based on low activity and low observation node joint analysis belong to the technical field of integrated circuit security, and solve the problem of how to improve the accuracy of identifying high-concealment hardware Trojan; the gate-level netlist is abstracted into a signal propagation directed graph, the nodes in the low activity candidate trigger node set are taken as the starting nodes, the nodes in the low observation candidate load node set are taken as the target nodes, the effective signal propagation path from the starting node to the target node is searched in the directed graph, and if the effective signal propagation path exists, it is determined as a high-risk hardware Trojan potential link; the application proposes a method for identifying high-concealment hardware Trojan potential signal link based on gate-level netlist static analysis, which does not depend on the golden reference model, and does not need to know the Trojan feature library, and is especially suitable for third-party IP core access security detection, backdoor review and logic credibility verification scenes.

The invention discloses a fatigue detection method and device, head-mounted display equipment and a storage medium, and relates to the technical field of head-mounted display equipment, the disclosed fatigue detection method is applied to the head-mounted display equipment, the head-mounted display equipment comprises a detection assembly, and the method comprises the steps that the behavior state of a wearer is determined according to first detection data of the detection assembly, the behavior state is a high activity state, a low activity state or a commuting state; and determining a fatigue degree result of the wearer according to a fatigue degree detection strategy matched with the behavior state and second detection data of the detection assembly. According to the invention, the fatigue degree of the wearer of the head-mounted display equipment in different environments can be comprehensively evaluated.

The invention provides a low-activity raw material activation device and method, and relates to the field of activation processing.The low-activity raw material activation device comprises an adjusting supporting mechanism, a horizontal activation cylinder is rotationally connected to the adjusting supporting mechanism, a driving mechanism is fixedly connected to the upper surface of the adjusting supporting mechanism, and the top of the driving mechanism is movably connected with the bottom of the horizontal activation cylinder; a plurality of sieve plates are arranged in the horizontal activation cylinder, the inner wall of each elastic rubber ring is correspondingly and fixedly connected with the outer wall of each sieve plate, the outer wall of each elastic rubber ring is fixedly connected with a mounting ring plate, and the outer wall of each mounting ring plate is fixedly connected with the inner wall of the horizontal activation cylinder; according to the scheme, when raw materials and the steel balls collide with the sieve plate, the sieve plate is preliminarily buffered through the elastic rubber rings, so that abrasion of the sieve plate is reduced, energy generated when the steel balls and the raw materials impact the sieve plate is dispersed and absorbed through the multiple elastic steel sheets, abrasion of the sieve plate is further reduced, and the service life of the sieve plate is prolonged.

The invention provides an intelligent cockpit mosquito repelling method and a vehicle, and belongs to the technical field of intelligent environment control, the method is applied to the vehicle provided with a gas management system and a sensor, the gas management system comprises a gas collection device, a gas storage device and a gas release device which are mechanically connected in sequence, and the sensor comprises a radio device and a camera device; the method comprises the following steps: acquiring sensor data related to mosquito positions in a cabin of a vehicle, and determining at least one mosquito activity area according to the sensor data; the gas collecting device responds to the determination of the mosquito activity area and collects the mosquito trapping gas in the mosquito activity area to the gas storage device; the environment in the cabin is adjusted to be in a low activity state which is not beneficial to mosquito activity; at least one opening leading to the outside of the vehicle is formed in the cabin, and the gas release device releases insect trapping gas to the outside of the vehicle through the opening, so that mosquitoes are trapped and repelled to the outside of the vehicle. According to the invention, mosquitoes are repelled by using the preference of the mosquitoes in the vehicle to gas, the process is environment-friendly, and the effect is obvious.

The invention relates to a high-activity granular sludge trapping device, a high-activity granular sludge trapping method and an anaerobic ammonia oxidation reactor, and the trapping device comprises a screening module arranged at the bottom of the trapping device and used for receiving and screening anaerobic ammonia oxidation granular sludge floating on the water surface in the anaerobic ammonia oxidation reactor, the high-activity granular sludge floats to the top of the screening module, and the low-activity granular sludge sinks to the bottom of the screening module; the stirring precipitation module and the screening module are arranged at the bottom of the trapping device side by side, and the stirred high-activity granular sludge sinks to the bottom and returns to the anaerobic ammonia oxidation reactor; the partition plate is arranged between the screening module and the stirring precipitation module and separates the screening module from the stirring precipitation module, and the height of the partition plate is set to enable the high-activity granular sludge of the screening module to climb over and enter the stirring precipitation module. Compared with the prior art, efficient separation, concentration and directional reflux of high-activity sludge are realized, the problem of sludge loss is solved, suspended solids in effluent are reduced, and the treatment efficiency and long-term stability of the reactor are ensured.

Systems and methods for saving energy at a base station are provided. A low activity period of the base station may be determined based on historical traffic parameters and / or a utilization of the base station falling below a pre-determined threshold. The base station ceases transmissions at a beginning of the low activity period. One or more UEs may connect to one or more nodes of a non-terrestrial radio access network (RAN). The base station resumes transmissions at an end of the low activity period.

The present application relates to a heart failure risk assessment method based on the HRV steady state interval offset characteristics of a smart watch, comprising: acquiring HRV index data, heart rate data, activity state data, sleep state data and signal quality data collected by a smart watch, screening HRV data segments meeting the stable state condition from the HRV index data according to the activity state, sleep state and signal quality, and determining target HRV characteristic values; determining the individual HRV steady state interval according to the stable state HRV data segments in a preset historical time period, according to the sleep state, the pre-morning wake-up state and the low activity state, and determining a low value offset event when the target HRV characteristic value is lower than the lower limit of the interval; when the low value offset event continuously occurs and no activity load increase event or signal quality abnormal event is detected, stopping the corresponding segment from participating in the individual HRV steady state interval update, and generating a heart failure risk assessment value based on the duration, the number of occurrences and the update stop result.

The nucleic acid detection system provided in this application includes a Cas protein, a first RNA portion, and a second RNA portion. The first and second RNA portions can interact to form a functional crRNA in the presence of the target nucleic acid. This functional crRNA can form a complex with the Cas protein and activate the trans-cleavage activity of the Cas protein. This invention creatively separates the crRNA into independent first and second RNA portions, whose binding affinity to Cas12a is significantly weaker than that of the full-length crRNA, thereby reducing the cis and trans-cleavage activity of Cas12a. This low-activity state provides a sufficient time window for the nucleic acid amplification reaction, allowing the amplification products to accumulate. When the target amplification product accumulates to a sufficient concentration, it can induce the separated crRNA to assemble with Cas12a into an active complex, thereby activating trans-cleavage and achieving an intelligent response of amplification-driven cleavage. The entire process requires no physical isolation, chemical inhibition, or programmed temperature control, truly achieving closed-tube, unmanned detection.

The application provides a dynamic and static scene adaptive video compression method and system based on PTZ holder control, and relates to the technical field of video compression transmission.The application carries out parameter detection and determination on digital video, carries out frame analysis, obtains frame type and frame activity, distinguishes high activity area and low activity area, gives a bit allocation scheme according to the frame type and the frame activity and dynamically allocates bit resources, wherein the bit resources allocated to the high activity area are more than those allocated to the low activity area, then the encoding result is multiplexed, and high frequency components are recovered through a statistical multiplexing algorithm.The application can dynamically adjust the encoding scheme according to the channel quality, realize adaptive encoding modulation, improve the maintenance of bit error rate under electromagnetic interference, and reduce image blur and trailing.The application can intelligently allocate code rate according to the dynamic change of the PTZ holder control view angle and the static scene, increase the code rate in a dynamic scene to ensure detail capture, and reduce the redundant code rate in a static scene to save bandwidth resources.

Methods and apparatus for using exempt gamma photon sources to measure fluid properties are described herein. The gamma photon sources are used with detectors in an arrangement that provides a short photon path length between source and detector. Fluid measurement devices described herein have a fluid container defining an interior, an exempt gamma-ray source located outside the fluid container, and a gamma-ray detector located outside the fluid container, the exempt gamma photon source and the gamma-ray detector defining a photon path that traverses the interior of the fluid container along a non-diametric chord of the fluid container.

For scheduling background processes in a data storage system, feature data is continually collected for activity-indicating performance features over regular multi-hour sample periods, and collected feature data is provided to a model-based workload analyzer having (i) a features input layer employing weighted feature learning to generate a stream of feature vectors and (ii) a variational autoencoder (VAE) operable in response to the stream of feature vectors to generate a latent-space representation of the collected feature data having a normalized distribution. The latent-space representation is compared against a normalized threshold to identify periods of low activity, and based on the comparing the background processes are initiated during the identified periods of low activity.

This invention discloses a method and system for controlling particle size distribution in cement grinding based on activity matching, belonging to the cement industry. The method includes: acquiring the actual particle size distribution of multiple material samples within different preset particle size ranges and the activity index at a preset reference age; classifying the material samples into high-activity, medium-activity, and low-activity materials based on the activity index at the preset reference age and establishing a mapping model between material activity and particle size range; according to the mapping model, separately grinding the high-activity, medium-activity, and low-activity materials to obtain each component material; obtaining an optimized mix proportion; monitoring the actual particle size distribution of the finished cement and calculating the activity matching degree using the optimized mix proportion and mapping model; determining whether the activity matching degree is greater than or equal to a preset threshold; if not, adjusting the optimized mix proportion or grinding parameters. This application avoids the waste of activity caused by excessively coarse particles in high-activity materials and also prevents energy waste caused by excessive grinding of low-activity materials.

An outer layer system of the multifunctional mountaineering suit is a conjoined suit integrally formed by an upper body structure and a lower body structure, and a protective layer, a heat preservation layer and a temperature adjusting layer are sequentially distributed on the outer layer system from outside to inside; wherein the temperature adjusting layer is a bio-based phase change material lining, a phase change microcapsule group is packaged in the bio-based phase change material lining, the phase change microcapsule group is formed by mixing at least four phase change microcapsules corresponding to different phase change temperature points, and the at least four phase change microcapsules are packaged in the bio-based phase change material lining according to different proportions; the different phase change microcapsules release heat or absorb heat at the corresponding phase change temperature points so as to adjust the temperature at different temperatures, so that the human body is maintained in a relatively appropriate temperature environment; moreover, the outer layer system is provided with a gradient heat preservation structure in the corresponding activity area, and the filling amount of the heat preservation layer is gradually reduced from the low activity area to the high activity area in a gradient mode, so that the mountaineering wear is more convenient to move, and the flexibility of the mountaineering wear is improved.

The present disclosure provides an item recommendation method, device, equipment, medium and product. A specific embodiment of the method comprises: determining a first target item based on behavior data of a target user; determining a target item set from a target item pool, wherein the similarity between the target items in the target item set and the first target item is greater than a first preset threshold; determining a candidate item set from a candidate item pool, wherein the similarity between the candidate items in the candidate item set and the target items or the first target item is greater than a second preset threshold; determining a to-be-recommended item based on the target item set and the candidate item set, and recommending the to-be-recommended item to the target user. The present scheme adds long-tail items with low activity and low sales to the recommendation result without affecting the accuracy of the recommendation result, thereby improving the item coverage and the diversity of the recommendation result.

The invention discloses an endoglucanase mutant EG06 as well as a coding gene, a product and application thereof, and belongs to the field of gene engineering and enzyme engineering. The technical problems that in the prior art, endoglucanase is low in activity, poor in heat resistance and poor in acid resistance are solved. The endoglucanase mutant EG06 disclosed by the invention has an amino acid sequence as shown in SEQ ID NO.2, and the endoglucanase mutant EG06 is obtained by carrying out S153M, G189W, N193P and S209W mutation on an EG03 sequence as shown in SEQ ID NO.1. The invention further discloses a preparation method of the endoglucanase mutant EG06. The endoglucanase mutant EG06 shows prominent at high temperature and acidic pH, has the optimal pH of 6.0 and the optimal temperature of 40 DEG C, has the efficient catalytic characteristics of keeping 30% enzyme activity at 20 DEG C, and has remarkable application potential in the industrial field.

The application provides a memory management method, device, equipment and storage medium. The memory management method comprises the following steps: in response to a memory management request for a target application program, determining the target application program corresponding to the memory management request and a to-be-processed memory page corresponding to the target application program; performing compression processing on the to-be-processed memory page to obtain a virtual compressed memory page corresponding to the target application program, and storing the virtual compressed memory in a virtual compressed memory module; determining target migration memory in the virtual compressed memory according to an application grouping identifier and / or an application activity parameter of the target application program; performing memory migration processing on the target migration memory, deleting the target migration memory in the virtual memory module, and obtaining a memory management result. The application program memory is adaptively managed by using the application activity degree and the grouping identifier when the memory is low, the application memory with low activity is completely released, and the memory utilization, the application retention rate and the starting speed are improved.