603 results about "Benchmark data" patented technology

This invention is a system, method, and apparatus for detecting compromise of IP devices that make up an IP-based network. One embodiment is a method for detecting and alerting on the following conditions: (1) Denial of Service Attack; (2) Unauthorized Usage Attack; and (3) Spoofing Attack. A survey of services running on the IP device, historical benchmark data, and traceroute information may be used to detect a possible Denial of Service Attack. A detailed log analysis and a passive DNS compromise system may be used to detect a possible unauthorized usage. Finally, a fingerprint of the IP device or its configuration settings, a watermark inserted in the data-stream, and a private key burned into the IP devices' physical memory may be used to detect a possible spoofing attack. The present invention may be used to help mitigate intrusions and vulnerabilities in IP networks.

Personality, behavior and competency assessment data is obtained for a sales person (or group of sales persons), particularly via a computer-implemented interface. The resulting overall individual (or aggregated) assessment data is then compared with high sales performer benchmark data to identify performance improvement opportunities that, in turn, are used to identify at least one specific action for the sales person (or group of sales persons). Such techniques may be use with sales management personnel as well. Reports based on the assessment results and comparisons thereof with high sales performer benchmark data may be created and provided to the individuals being assessed or persons associated with the individual sales persons. The personality, behavior and competency assessment data may also be used to identify predictive characteristics of high sales performers that may be subsequently used to predict other characteristics of individuals or groups.

Systems and methods are disclosed for providing benchmark services to customers. The services may be provided through a benchmark provider. The benchmark provider may build a benchmark database based on data collected from customers and/or third party sources. The submission of benchmark data can be made optional to the customer and, thus, not a requirement to receive service(s) from the benchmark provider. In addition, the benchmark database may be built as a comprehensive database, such that it is well-populated and provides benchmark data for many or all types of functional areas (e.g., FIN, CRM, SCM, SRM, HR, etc.), industries and/or sizes of companies. Offers for benchmark services may be presented to customers and specific service(s) may be provided in accordance with the service election(s) made by each customer.

Methods and systems are provided for processing and storing data objects by means of one or more processes running in a computer system. The computer system may have one or more electronic data structures. The electronic data structures may include a benchmark definition and may be formatted to be readable by a SGML-based language. In one implementation, the methods and systems present one or more of the electronic data structures to second parties by electronic means.

Systems and methods of performing comparisons of client data and benchmark data are described. When client data is compared to internal benchmark data, comparative result values may be computed by performing a multidimensional operation with respect to client data for a particular dimension member and client data for additional dimension members that are related to the particular dimension member. When client data is compared to external benchmark data, a client result value may be computed based on a multidimensional operation and a benchmark result value may be determined based on a mapping of client dimension members to benchmark dimension members. The result values may be provided by a server to a client, which may generate a graphical user interface (GUI) based on the result values.

First, benchmark data are collected on two thin slices of an object to get measured k-space trajectories. To find delays on different physical gradients, the root mean square error between estimated and measured k-space trajectories is minimized for different delays. To reduce the error further, an eddy current compensation is introduced along each physical gradient axis. A more accurate estimation of the k-space trajectory can be obtained to image the object.

A system and method is disclosed for modeling, predicting, forecasting, and analyzing organizational spend/procurement, such as travel spend. In various embodiments, a method for modeling, predicting, budgeting, and optimizing business spend and procurement is provided comprising obtaining benchmark data, obtaining opportunity assessment data, obtaining organizational cost data, modeling the opportunity assessment data in comparison to the benchmark data, and determining a potential cost result based on the modeling. The method may further comprise adjusting the opportunity assessment data to achieve a desired cost result.

The invention provides a dynamic vehicle weighing method and system; all shafts of the vehicle to be weighed subsequently drive pass a weighing platform, wherein, the method includes the following steps: the shaft load signal and the shaft type signal of all the shafts of the vehicle to be weighed are collected; the dynamic weighed data and shaft type data of the shafts are generated according to the shaft load signal and the shaft type signal of the shafts; the dynamic weighed data is processed to obtain and weigh effective data; trigonometric function approximation processing is conducted on the shaft weight effective data to obtain the shaft weight benchmark data and the revised data; the shaft weight is obtained according to the shaft type data and the shaft weight benchmark data and the revised data. The invention is used to solve the problem of dynamic weighing of vehicles passing the weighing platform at medium and low speed, and provide weighing schemes meeting the weighing precision requirement for different vehicle types.

Disclosed is an automatic registration method of aviation and ground LiDAR data based on building contour constraint. The method includes firstly extracting building contours or aviation contours and ground contours for short from aviation and ground LiDAR data; extracting building angular points or aviation angular points and ground angular points for short from the aviation contours and the ground contours; taking the matching degree between the aviation contours and the ground contours as constraint, calculating initial transfer matrixes between the aviation angular points and the ground angular points, and obtaining initial matching angle dot pairs; finally, calculating correction transfer matrixes between the initial matching angle dot pairs by using an iterative closest point (ICP) algorithm, and converting ground dot cloud data to be matched through the initial transfer matrixes and the correction transfer matrixes successively to achieve automatic high-precision registration of the aviation and ground LiDAR data. The method has great advantages in registration reliability and accuracy with contour lines serving as constraint; and simultaneously, based on LiDAR data to be matched and reference LiDAR data, accuracy registration between the aviation and ground LiDAR data can be achieved without other auxiliary data.

A scenario modeling engine that generates an enhanced insurance feature recommendation for a group of insured entities or employees is disclosed. The scenario modeling engine may aggregate demographic data regarding the insured entities, receive a user response indicating at least one insurance goal for the group regarding an insurance feature, generate an insurance feature score or profile according to the insurance goal and the received demographic data; generate a first insurance feature recommendation based on the profile; receive industry benchmark data for the insurance feature and report the first insurance feature recommendation compared with the industry benchmark; receive user input indicating revision for the insurance feature; and report a set of insurance features or an insurance plan based on the revision for the insurance feature. A bid or solicitation for a bid for an insurance policy may be automatically sent accordingly.

The invention belongs to the technical field of image processing, and specifically relates to an improved KCF tracking algorithm for target occlusion. Through the improvement of the KCF tracking algorithm, the anti-occlusion performance of the original algorithm is improved, and the tracking accuracy and the success rate of the algorithm are improved. A target occlusion judging method, a trackingfailure judging method and a template matching target re-positioning algorithm are added to the algorithm to improve the anti-occlusion performance of the original KCF tracking algorithm. The improvedalgorithm is verified by using a Benchmark data set and an own shot car video. It can be seen from the experimental results that the algorithm of the invention is more robust against occlusion videosequences.

The invention provides a task plan adjustment method of a wearable device, and the related device. The method comprises the steps of receiving user activity data corresponding to task units and obtained and uploaded by the wearable device according to an original task plan table; performing mathematic processing on related user activity data by taking the task units as units to determine executive result data of the task units; evaluating the executive result data corresponding to the task units according to evaluation reference data corresponding to the corresponding task units, and determining evaluation result data corresponding to the evaluation reference data; adjusting settings of the task units corresponding to the evaluation result data in the original task plan table according to preset conditions corresponding to the task units, and generating a new task plan table; and pushing the new task plan table to the wearable device. According to the method and the device, a task plan selected by a user is reasonably changed according to an actual condition, so that the purpose of healthily and effectively developing a habit is achieved.