202 results about "Observation period" patented technology

A method and repeater are described for repeating using a time division duplex (TDD) radio protocol. A signal is transmitted from a first station to a second station using a downlink and an uplink. The signal can be detected on the uplink or the downlink. The repeater can synchronize to time intervals associated with the detected signal that are measured during an observation period. The signal can be retransmitted from the second station to the first station if the signal is detected on the uplink and re-transmitted from the first station to the second station if the signal is detected on the downlink. A gain value associated with the downlink can be used to establish a gain value associated with the uplink.

Among other things, one or more techniques and / or systems are disclosed for identifying a proximate beacon to a mobile device. One or more first received signal strengths (RSSs), relative to the mobile device, may be received and used to determine a first average signal strength (RSS) and a first average RSS deviation for a first beacon during an observation period. An average RSS deviation for the observation period can be determined using the first average RSS deviation (e.g., and other average RSS deviations). If the average RSS deviation meets a desired deviation threshold, the first beacon may be identified as the proximate beacon. In this manner, if the user of the mobile device consents to the same, the user may be provided with relevant information (e.g., advertisements) on the mobile device while in a locale (e.g., store) corresponding to the (known) location of the beacon, for example.

The invention relates to a target localization and tracking system and a method. The system comprises a plurality of cluster localization modules and command control modules, each cluster localizationmodule comprises a plurality of sensor nodes and cluster head nodes, and each cluster head node comprises an initialization module, a particle filtration module, a particle weight calculation module,a re-sampling determination module and an estimation target state module. The method which combines Kalman and particle filtration is adopted for realizing the passive localization of a target, and the computation speed is far lower than the particle filtration method on the basis of realizing high-precision localization; the localization and the track of the target is finally realized by adopting multiple sensors and being based on the observation of the direction of the target, thereby being capable of overcoming the constraint that the traditional machine-mounted or ship-mounted single station system must carry out motorization during the observation period, having no need of observing the motorization of a platform, improving the flexibility of target localization, greatly increasingthe area of a region of target monitoring localization, avoiding the shortcoming of existence of localization blind regions and having very high effectiveness, accuracy and feasibility.

A method for dynamically allocating network resources while transferring multimedia at variable bit-rates in a network extracts first content features from the multimedia to determine renegotiation points and observation periods. Second content features and traffic features are extracted from the multimedia bit stream during the observation periods. The second content features and the traffic features are combined in a neural network to predict the network resources to be allocated at the renegotiation points.

A method of monitoring a human relaxation level and a user-operated heart rate monitor are provided. The user-operated heart rate monitor comprises a timing instant determining means for determining a plurality of heart beat timing instants from a user's electrocardiogram; a relaxation calculating means for calculating an instantaneous relaxation measure value by using the plurality of heart beat timing instants; a relaxation reference calculating means for generating a relaxation measure reference value by using a plurality of instantaneous relaxation measure values, each calculated over a different observation period; and a displaying means configured to display a reference pointer indicating graphically the relaxation measure reference value and further configured to display a relaxation pointer indicating graphically the instantaneous relaxation measure value relative to the reference pointer.

A method of determining an orbit of an orbital object includes computing predicted tracking measurement values based on the orbit computed from the initial conditions factoring in any modeled environmental forces and realistic maneuvers; computing the differences between the actual and predicted tracking measurements; determining an improved estimate of the initial conditions that reduces the measurement errors using a minimization or root finding algorithm; after the algorithm has converged, reviewing the hypothetical maneuvers in the force model, taking each value and determining which values came up as near-zero in the minimized solutions and which values came up as those of measurable thrust; determining overall burn duration using the first and last burn times; determining the thrust profile of the orbital object over the observation period using the integrated thrust values; and determining the actual maneuver based on the observation data.

A method for multi-user detection includes receiving a complex input signal due to a superposition of waveforms encoding symbols in a real-valued constellation, which are transmitted respectively by a plurality of transmitters in a common frequency band. The complex input signal is sampled at sampling intervals over the duration of an observation period to provide a sequence of complex samples. The sequence of complex samples is processed to determine soft decision values corresponding to the symbols transmitted by the plurality of the transmitters in the observation period, while constraining the soft decision values to be real values. The soft decision values are then projected onto the constellation to estimate the transmitted symbols.

A terminal synchronization method and apparatus for use in a wireless communication system are provided. A synchronization method includes configuring, at the terminal, a synchronization signal reference time depending on whether a synchronization signal is received in an initial observation period as long as at least two frames, monitoring to receive the synchronization signal in an alternation period of a transmission period and a reception period, the alternation period following the initial observation period, updating the reference time depending on whether the synchronization signal is received in the reception period, transmitting the synchronization signal at the updated reference time in the transmission period, and updating the reference time depending on whether the synchronization signal is received in a dedicated observation period following the alternation period. The synchronization apparatus and method are advantageous in that synchronization is obtained without assistance of a base station, an Access Point (AP), etc.

The invention relates to an application layer distributed denial of service (DDoS) attack detection method and defensive system and relates to network safety, in particular to application layer DDoS attack detection and defend. The invention provides a detection method and the defensive system based on user click sequence forecasting. Firstly, a page table uniform resource locator (URL) of a website is extracted, a clustering algorithm is utilized to conduct clustering, page table classification Vj and a user click sequence of the website are obtained, then the user click sequence is utilized to construct a random wandering image, a next observation period click sequence of a user is calculated through a process of random wandering, at last, similarity of a predict sequence and a click sequence is calculated, and abnormity of the user click sequence is judged through training threshold. The application layer DDoS attack detection method and defensive system can effectively detect attacking of an application layer, particularly stimulate an attack request of normal user behavior, and can be widely applied to safe defend of a data center website server.

The invention discloses a method for predicting congestion duration and spatial diffusion of urban road traffic. The method comprises the following steps of: (1) carrying out cell division on an area constituted by a target road section, an upstream road section and a downstream road section according to a road traffic flow characteristics after initial congestion occurs, wherein tail cells are defined as the cells located at a canalization region at downstream outlets of the road sections; (2) initializing each key parameter of each cell; (3) making a judgment according to a judgment rule (1) of the cell of the target road section after each time step is up, and with respect to the cells of the upstream road section and the downstream road section, making judgments according to a rule (2) and a rule (3) respectively in an observation period after each time step is judged to be up; and (4) if a termination condition of the judgment rule (1) is satisfied, terminating the judgment and calculating to predict the congestion duration, or else, turning to (3), and if the termination condition of the rule (2) or rule (3) is satisfied, terminating the judgment and calculating to predict congestion diffusion time, or else, turning to (3). The method disclosed by the invention can be used for effectively predicting the congestion duration and carrying out spatial diffusion estimation and is good in practicability.

The invention discloses a method and apparatus for obtaining active user data of target product. The method comprises: obtaining the search data in a plurality of periods of a target product in a third-party data platform; determining the correlation between the search data and the newly increased user number in the same period of a basic product so as to determine the predicted newly increased user number in the same period of the target product; according to the user remaining rate of the basic product in previous periods, fitting a remaining curve; based on the remaining curve and the newly increased user number in the observation period, obtaining the predicted active user number of the target product in the observation period; combining a preset algorithm, obtaining the active user number of the target product in the observation period; based on the correlation among the remaining user number, the newly increased user number, the active user number and the daily active user number, creating a daily active user number prediction model; and combining the already known corresponding data of the target product to output the daily active user number of the target product so as to realize the quantified monitoring on the daily active user number. With the method proposed by the invention, it is possible to realize the quantified monitoring on the daily active user number.

An exposure apparatus includes an image sensing section and image sensing control section for measuring the average position of a mark formed on a wafer during a predetermined observation period before a stage completely stops, an interferometer for measuring any deviation of the stage during the observation period, a stage deviation storage section for storing the measurement result by the interferometer in a memory and calculating the average deviation of the stage on the basis of the measurement result, and a shift amount calculation section for calculating the actual position of the mark, while the stage is at rest, on the basis of the average position of the mark and the average deviation of the stage.

A signal processing unit in a radar device calculates a change amount Y (=log(P)−log(Pb)) between a power P of a current arrival echo and a power of a previous arrival echo arrived before an observation period TSW. A memory unit in the radar device stores, every type of objects, a probability distribution of the change amount Y calculated from the arrival echo from the object. On the basis of the calculated change amount Y and the probability distribution, the signal processing unit determines a probability Pr to obtain the change amount Y every type of object, and determines that the object having the maximum probability Pr is the object which transmits the current arrival echo.

An improved method, apparatus, and computer instructions for identifying a memory leak in a heap. Prior to the start of the observation period, all live objects in the heap are identified to form a set of live objects by altering an indicator in the live objects. After running the system for the required amount of time or until completion of the event being monitored, the system is used to obtain the list of live objects without the altered indicator. Live objects without the altered indicators form the most likely objects associated with a memory leak.

The method uses predictive analysis to determine a model based on past data including a first social network built between communicating entities for a first observation period and behavioral centrality measures derived from behavioral data observed in a following time period. The model thus determined is then applied to a second social network built for a second observation period more recent than the first one. This provides predicted behavioral centrality measures for a future period, which can be used to perform an efficient selection of entities in the target, which may maximize virality with respect to the specific behavior of interest.

A positioning information distribution system for distributing positioning information through a data network is described. In one embodiment, the system distributes satellite information from a global positioning system (GPS). The system includes an information processing station connected to a data network accessible by wireless communication, a receiving station including a GPS receiver, and a mobile unit including a GPS receiver and a wireless receiver. The information processing station collects GPS satellite information from the receiving station and transmits the satellite information to the mobile unit using wireless communication. Alternately, a network of receiving stations are provided. The mobile unit can obtain the satellite information from the information processing station for determining its measured position, even when the mobile unit is roaming in an urban area and is not able to observe the GPS satellites for the lengthy observation period needed to acquire the satellite information itself.

A method of generating a dynamic call graph of an application is disclosed. The method includes collecting information on what program code pages are accessed during each sampling period, defining parts of an executable program code which are accessible during each sampling period according to the collected information, defining a set of functions within the defined parts of the executable program code, generating dynamic call graphs using the defined set of functions for each sampling period, and generating dynamic call graphs for an observation period by combining accurate dynamic call graphs of each sampling period.

The invention discloses a credit monitoring and scoring method and system based on a behavior model. The method comprises the following steps: obtaining the original data of an account in an observation period; carrying out feature extraction on the original data of the account to obtain a prediction variable; according to the prediction variables, using the machine learning algorithm for modeling, and obtaining the prediction model of the response variables and the prediction variables; predicting an account with repayment performance according to the predicting model to obtain a default probability in the predicting period of the account; calculating the behavior score of the account according to the default probability of the account during the prediction period. The invention can increase the data changing speed, improve the applicability and generalization, and carry out accurate behavior scoring on the account.

A method is provided that uses a consistent hashing technique to dispatch incoming packets in a stable system prior to adding of a node. The method uses a hash table and assigns hash buckets in the table to each network node. A set of fields in each incoming packet is hashed and is used to identify the corresponding hash bucket. The packets are then dispatched to the network nodes based on the nodes' hash buckets. During an observation period, the method identifies the ongoing sessions by creating a bit vector table that is used to identify the old and new sessions during a re-dispatching period. The method uses the consistent hashing method and the probabilistic method dispatch the incoming packets such that each packet that belongs to an old session is dispatched to the same old node that has been processing the other packets of the session.

The FMCW radar device includes: a range observation period setting section configured to set a plurality of range observation periods; a modulated frequency width setting section configured to set, for the respective plurality of range observation periods, a plurality of modulated frequency widths; a beat signal generation section configured to generate, for the respective plurality of range observation periods, beat signals based on the transmission signal and the reception signal; and a pass bandwidth setting section configured to set pass bandwidths of the beat signals generated by the beat signal generation section, in which the modulated frequency width setting section sets, for the respective plurality of range observation periods, the plurality of modulated frequency widths so that a difference among maximum frequencies of the beat signals generated for the respective plurality of range observation periods becomes zero or falls within a predetermined range.

A method of generating a dynamic call graph of an application is disclosed. The method includes collecting information on what program code pages are accessed during each sampling period, defining parts of an executable program code which are accessible during each sampling period according to the collected information, defining a set of functions within the defined parts of the executable program code, generating dynamic call graphs using the defined set of functions for each sampling period, and generating dynamic call graphs for an observation period by combining accurate dynamic call graphs of each sampling period.

An average color bar (507) representing the entire imaging period of images captured by the capsule endoscope in time series is displayed. The checked images in all captured images are displayed in a list in the checked image display column (504B), and it is calculated which time in the imaging period each checked image corresponds to, and the scale of the average color bar (507) is used to set the average color bar (507). (507) mark and display with numbers corresponding to each inspection image. As a result, the searchability of the image obtained by shooting the inside of the body is improved, and it is possible to easily identify which organ the displayed image is.

The invention discloses a reservoir water temperature change rule prototype observation method. The reservoir water temperature change rule prototype observation method is characterized by comprising a time point distribution method of reservoir water temperature change rule prototype observation and a space point distribution method of reservoir water temperature change rule prototype observation. According to method, the long-serial and large-scale prototype observation of the reservoir water temperature change rule is considered, and the synchronous link of water temperature observation periods of different hydrological, ecological and meteorological processes of a reservoir, and effective coverage of longitudinal and vertical water temperature prototype observation point location of water temperature characteristic changes of a mainstream and tributaries of the reservoir are achieved. The systematicness, representativeness and reliability of a water temperature prototype observation result are guaranteed. The reservoir water temperature change rule prototype observation method has important significance on improving the technical level and result quality of the national water temperature prototype observation work, overcoming the defects of the prior art, further improving the working levels of the national reservoir water temperature change mathematical model research, the empirical formula improvement and the computing software development research thereof and promoting the technological development of the industry.

The invention discloses a method for detecting network attack comprising: receiving a data pack, getting a comparison value of an average distance value at the adjacent observation time of the data pack; accumulating and counting the comparison value, getting a statistics of the cumulative sum; judging the network attack when the statistics of the cumulative sum exceeds the presetting threshold in a presetting observation period. In the invention, the CUSUM algorithm is mainly to accumulate the variable values which are obvious higher than the average level under a normal operation condition, that is to accumulate the differences, thereby the network attack is more accurately detected and the false alarm rate is reduced; simultaneously the algorithm is simple and the network can be quickly detected.

The invention provides a four-point scaling device and method for a microwave radiometer. A four-point scaling technology is used in the method, a high-temperature reference point and a normal-temperature reference point are arranged in the microwave radiometer to carry out internal scaling on a receiver of the microwave radiometer, and a normal-temperature scaling source and a cold air reference source are arranged outside the microwave radiometer to carry out external scaling on the whole microwave radiometer with an antenna. The device is provided with a special-purposed radiator scaling turntable, and reasonably distributes scaling and observation intervals of the microwave radiometer, so that real-time four-point scaling can be carried out on the microwave radiometer in each observation period, and a high-precision scaling result of the microwave radiometer can be obtained.

The invention belongs to the technical field of traffic management and relates to a method for predicting road traffic flow based on global positioning system (GPS) data. The method comprises the following steps of: dividing time during which the traffic flow is required to be predicted and monitored in a day into different periods of time; in each observation period of time, monitoring the positions of taxis loaded with vehicle-mounted GPSs to acquire GPS position data in each period of time, monitoring road traffic flow data in each period of time, and counting; calculating the speed corresponding to the position of each vehicle in the GPS position data at each historical moment and the average speed of all vehicles on the whole main road; and monitoring real-time position data of each vehicle in each period of time in real time, calculating the instantaneous speed of each vehicle and the average traffic flow speed of the road, predicting future traffic flow data, and judging whether traffic jams occur or not. By the method, the capital and manpower investment of road detection equipment can be reduced, and a traffic congestion problem can be solved in an auxiliary mode.

The invention provides an air conditioner defrosting control method and device, and an air conditioner. The air conditioner defrosting control method includes the steps that the outer pipe temperatureof the air conditioner is continuously acquired at a preset time interval; an acquired outer pipe temperature data set is compared with a preset temperature, when the acquired plurality of outer pipetemperature data meet the preset condition, the air conditioner is controlled to perform defrosting, and it is avoided that the phenomenon of frequent defrosting or defrosting without frost occurs, and heating comfort of the air conditioner is affected. By acquiring the outer pipe temperature data set, meanwhile the observation period on the air conditioner is prolonged, when the acquired plurality of outer pipe temperature data meet the preset condition, the air conditioner is controlled to perform defrosting, it is avoided that the phenomenon of frequent defrosting or defrosting without frost occurs, and heating comfort of the air conditioner is affected, and the precision of defrosting of the air conditioner without an outdoor environment temperature sensing device is improved.