62results about How to "Avoid neglect" patented technology

The invention provides a forecasting method for a customer purchase intention and a terminal device, and is applicable to the technical field of information processing. The method comprises the following steps: obtaining personal characteristic data of a customer; inputting the personal characteristic data into a pre-established random forest model to output an objective purchase intention value of the customer; obtaining the subjective purchase intention value of the customer according to the emotion tendency of the customer in the historical telesales process; weighting the objective purchase intention value and the subjective purchase intention value, and outputting the weighted result as the actual purchase intention degree of the customer; and determining the customer with the actualpurchase intention degree greater than the preset threshold value as a potential customer to enable the telesales agent to make phone calls to potential customers and sell the telesales product. The forecasting method provided by the invention integrates a plurality of consideration factors to determine the potential customers, thereby improving the forecasting accuracy of the potential customers;and the quantitative calculation of the purchase intention of the customer is realized by weighting the objective purchase intention value and the subjective purchase intention value.

The invention relates to a Storm task expansion scheduling algorithm based on data stream prediction, and belongs to the field of data exchange networks. Through a monitoring module, the real-time operation data of a Topology task submitted by a user can be obtained, the degree of parallelism of a connected component in Topology under a situation that a component load is met is solved, and then, the degrees of parallelism of all components in the Topology can be solved through iteration. A time series model is used for predicting a data size which needs to be processed by the Topology, the optimal degree of parallelism of a startup component spout in the Topology under the situation is solved, the optimal degree of parallelism of each component in the Topology under a prediction condition is obtained, and scheduling is carried out. In scheduling, an on-line scheduling algorithm is used to reduce inter-node network communication to a largest degree and guarantee the load balance of a cluster. By use of the algorithm, a deficiency that relevance among all components in the Topology is not fully considered is overcome, the deficiency that the optimal degree of parallelism of each component in the Topology submitted by the user can not be quickly and efficiently solved is mad up, and the algorithm has the advantages that change is predicted in advance, handling capacity is improved and handling time delay is lowered.

The invention discloses a textile tearing performance testing device which comprises a workbench, supporting columns are fixedly connected to the periphery of the bottom end of the workbench, a discharging groove is fixedly connected to one side of the top end of the workbench, a through groove is formed in the end, close to the center line of the workbench, of the discharging groove, and a testing mechanism is installed at the top end of the workbench. And an electric slide rail is arranged in the testing mechanism. According to the invention, one end of a to-be-detected textile can be quickly extruded and fixed in a C-shaped plate by rotating a hand-screwed bolt, and the electric slide block can drive a tension meter to slide in the electric slide rail, so that the tension meter can drive the C-shaped plate and one end of the textile to move for a pull test, the operation is simple, time and labor are saved, and the previous tedious fixing mode is changed; and the situation that thetextile falls off in the pulling process can be prevented, and in the moving process of the electric sliding block, a marking needle head can be driven to move at the upper end of a precision ruler, so that a worker observes the pulling distance conveniently.

The invention discloses a filter screen cleanliness detection method and sensor, and air treatment equipment. The filter screen cleanliness detection method includes the steps that a filter screen cleaning signal is acquired; according to the filter screen cleaning signal, the cleanliness detection value of a filter screen within a first preset duration before cleaning is read; according to the cleanliness detection value of the filter screen within the first preset duration before cleaning, a first preset threshold value is updated, wherein the first preset threshold value is the upper limitcorresponding to a cleanliness detection value for generating a filter screen cleaning reminding signal, and the updated first preset threshold value is equal to the cleanliness detection value of thefilter screen within the first preset duration before cleaning, or the updated first preset threshold value is between the non-updated first preset threshold value and the cleanliness detection valueof the filter screen within the first preset duration before cleaning. By means of the technical scheme, the use experience of filter screen cleanliness detection is improved.

The invention relates to an image recognition model generation method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a sample image set; wherein the sample image set comprises a plurality of sample image subsets of which the number of images is sequentially decreased, and the plurality of sample image subsets comprise the same number of image categories; training a to-be-trained image recognition model according to the sample image set to obtain a loss value of the to-be-trained image recognition model; wherein the to-be-trained image recognition model comprises a plurality of branch neural networks; wherein the loss value comprises a target classification loss value and a classification loss value, the target classification loss value is aloss value of the model for the sample image set, and the classification loss value is a loss value of the branch neural network for the corresponding sample image subset; and adjusting model parameters according to the loss value until the loss value is lower than a preset threshold. According to the invention, the image types with a small number of images in the training process can be fully trained, and the effect of image recognition model generation is improved.

The invention discloses an auditing method for screening round entry events. The auditing method includes the steps: S1 compressing logs according to preset time granularity and key content classification by a classified compression engine to obtain a compression table; S2 screening class round events in the compression table by a screening auditing engine to obtain non-class round events in the compression table, and acquiring round logs 4A by the non-class round events; S3 decompressing parts of the round logs 4A by a decompression engine according to preset decompression rules; S4 displaying the round logs 4A in a combined manner. Parts of the parts of the round logs 4A do not comfort to other abnormal event auditing rules. By the auditing method, the class round events and the non-class round events can be effectively distinguished, auditing result misjudgment is decreased, mass round events can be rapidly and visually displayed, auditing manpower and time investment is reduced, and auditing efficiency is improved.

The invention discloses a multi-cell cooperative transmission scheme based on interference utilization, and the scheme comprises the steps: configuring M antennas in a base station of each cell, enabling the number of users served in each base station to be K, and configuring single antennas for the served users; the two adjacent base stations send information to all the service users in the two cells at the same time; secondly, respectively calculating measurement scales of interference signals which are received by users in a cell and are transmitted by a base station in the cell and are leaked to users served by an adjacent cell by the base station in the cell by adopting a symbol-level pre-coding mode; designing a precoding vector of the base station to maximize the sum of a minimum measurement scale of a service user receiving signal and a minimum measurement scale of a leakage signal in a cell of the base station; and respectively solving the optimal precoding vectors of two adjacent cell base stations by adopting a distributed processing method, and determining a precoding scheme. The signal quality of the signal received by the overall receiving end is improved, the averagesymbol error rate of the receiving end is reduced, and the throughput of the system is improved.

The invention discloses a method for recording video and images continuously based on picture states. Current shooting pictures are detected during a continuously shooting process. If the current pictures are in a static state, shooting is paused, so that power consumption caused by shooting repeated content can be avoided and occupancy of storage space by valueless content can be reduced. According to the invention, the current picture state is detected when the shooting is paused. If the current pictures turn to a dynamic state from the static state, shooting is restarted, so that negligence of valuable content caused by the dormant state can be avoided. By using the method provided by the invention, whether to start or stop shooting can be judged based on the picture states, power consumption of a recording device can be reduced as much as possible and endurance capability of the recording device can be improved.

The invention relates to a method for assisting a driver in time-efficiently performing a journey with a motor vehicle (1), wherein upon occurrence of at least one event criterion, by which the motorvehicle (1) is operated slower than a time-efficient target speed (12, 13) assigned to the current position of the motor vehicle (1), an acceleration request is issued to the driver.

A notification control unit includes a notification setting information selection unit, a notification setting information storage unit, a notification setting information setting unit, and the notification execution unit. Notification setting information is associated with individual setting information to be preserved in the notification setting information storage unit. The notification execution unit performs a notification according to setting of use-notification setting information which is selected by using the individual setting information by the notification setting information selection unit. The created or changed notification setting information is preserved in the notification setting information storage unit.

The invention discloses a method and device for discovering potential high-value passengers. Based on processing of large-scale passenger travel data (historical passenger ticket booking information),travel intentions hidden behind passenger travel are discovered, travel intention distribution of each passenger is obtained, and potential high-value passengers of a reserved airline company are further determined based on the travel intention distribution information of each passenger. The invention provides a potential high-value passenger discovery scheme based on a passenger travel intention. The passenger travel intention can reflect the potential requirements of passengers on airlines. Correspondingly, by mining the travel intention distribution information hidden behind the travel data of the passengers, the potential value of the passengers can be determined more accurately, the potential high-value passengers with fewer current passenger records can be found, and neglect of a traditional passenger value measurement method on the potential high-value passengers is avoided.

The invention discloses an electronic device which comprises a shell and a temperature detecting device and further comprises a controller arranged in the shell and a vibration motor in communicating connection with the controller. The controller can control vibration of the vibration motor according to detected temperature information. Tactile sense type information feedback about temperature can be provided through vibration, even if a visual information feedback mode is in a closed state, a temperature state can be also responded in real time, information feedback can be prevented from being neglected, and the information feedback capability can be improved.

The invention discloses an Internet of Things data collection method based on double cache region AoI perception, and the method specifically comprises the following steps: S1, proposing a data storage and transmission strategy based on double cache regions, and designing a system model and sample storage and transmission processes of the two cache regions; s2, after the strategy in the step S1 is put forward, constructing a double-cache AoI model and an average weighted AoI optimization target under the data transmission scene of the Internet of Things; and S3, designing a selection function according to a result obtained in the step S2, and proposing an algorithm based on a greedy strategy to solve the model so as to complete scheduling of source node samples and collection of data. According to the method, the average weighted AoI is reduced by using the greedy strategy based on the double-cache AoI model, the source node and the new and old samples on the source node are flexibly selected according to the real-time conditions of the link and the source node, fresh data can be provided for the Internet of Things user as much as possible even under the condition that the link resource or the source node energy is limited, and the user experience quality is improved.

The invention relates to a method for controlling a display (4) of a tachograph (DTCO) which can be connected to data memories (7) that are associated with defined groups. The aim of the invention is to improve this method so as to allow for an ergonomic control of the complex functionality of a digital tachograph while requiring little space. For this purpose, individual groups are associated with defined functional groups or dialogs of the display (4) and the operational controls (3). The tachograph (DTCO) identifies the group the data memory (7) is associated with and then displays a selection of functional groups that can be selected by means of operational controls (3). The display (4) displays only functions and functional groups that are associated with the group of the data memory (7).

The invention relates to a content item searching method and device, electronic equipment and a storage medium, and belongs to the technical field of computers. According to the technical scheme provided by the embodiment of the invention, recall is carried out based on the search text after the search request is received, the recalled candidate content items are sorted according to different sorting conditions, and the candidate content items screened out under different sorting conditions are respectively placed in different sorting queues. According to the method, when the search result is finally determined, the search result is determined from the multiple sorting queues, it is guaranteed that all the related content items under all the sorting conditions can be selected as the final search result, and therefore the phenomenon that some content items strongly related to the search text are ignored is avoided, and the search effect is improved.

The invention discloses a device for measuring optical path loss of an optical fiber gyroscope. The device comprises a case, a transformer, a light source plate, a digital display voltmeter and a digital display ammeter, the transformer, the light source plate, the digital display voltmeter and the digital display ammeter are arranged in the case; the IC locking seat and the connector socket are arranged on a side cover of the case; one end of the transformer is connected with an external power supply, and the other end of the transformer is divided into two paths, one path is connected with the IC locking seat, and the other path is sequentially connected with the light source plate, the digital ammeter and the connector socket; the digital display voltmeter is connected to the IC lockingseat in parallel; and the gyroscope to be tested is arranged outside the case. The measurement efficiency is much higher than that of a traditional optical path measurement method and is improved bymore than eight times; a light path is not touched, and introduction of human interference is avoided; and according to the invention, neglect of insertion loss in a traditional optical path measurement method is avoided, and the accuracy is higher.

The invention discloses an Internet of Things security analysis method based on sensing and calculation linkage, which aims at the phenomenon of linkage of a sensor and an artificial intelligence algorithm widely existing in the Internet of Things, and analyzes the overall vulnerability of an Internet of Things system in a mode of constructing and injecting an adversarial sample aiming at the artificial intelligence algorithm from a physical domain. The method comprises the following steps: firstly summarizing an Internet of Things system into a plurality of information channels according to front and back links of information processing of the Internet of Things, then carrying out vulnerability analysis on each information channel, establishing an actual test platform for signal injection, judging whether actual threats exist or not, and giving the actual threats to professionals to evaluate the harm degree of the actual threats, and finally, integrating the analysis result of each vulnerability, and evaluating the overall safety degree of the intelligent networking system. According to the method, the potential vulnerability can be comprehensively analyzed, and the safety problem of the system can be more quickly mined.

A method for indicating differential signal lines in a layout is provided, which comprises searching line groups having similar line names at first; dividing the line groups into a first line and a second line; confirming that the first and second lines are connected to a same circuit element; highlighting the first and second lines, thereby eliminating the trouble in searching differential signal lines.