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635 results about "Quantitative assessment" patented technology

Quantitative Assessment: A quantitative assessment measures the monetary value of all the elements combined in a risk assessment as well as the assets and threats of a risk analysis. Components of the risk analysis process include: property value; residual damage; rate of occurrence (threats); safeguard effectiveness; safeguard expenses;

Scaleable method for maintaining and making consistent updates to caches

A determination can be made of how changes to underlying data affect the value of objects. Examples of applications are: caching dynamic Web pages; client-server applications whereby a server sending objects (which are changing all the time) to multiple clients can track which versions are sent to which clients and how obsolete the versions are; and any situation where it is necessary to maintain and uniquely identify several versions of objects, update obsolete objects, quantitatively assess how different two versions of the same object are, and / or maintain consistency among a set of objects. A directed graph called an object dependence graph, may be used to represent the data dependencies between objects. Another aspect is constructing and maintaining objects to associate changes in remote data with cached objects. If data in a remote data source changes, database change notifications are used to "trigger" a dynamic rebuild of associated objects. Thus, obsolete objects can be dynamically replaced with fresh objects. The objects can be complex objects, such as dynamic Web pages or compound-complex objects, and the data can be underlying data in a database. The update can include either: storing a new version of the object in the cache; or deleting an object from the cache. Caches on multiple servers can also be synchronized with the data in a single common database. Updated information, whether new pages or delete orders, can be broadcast to a set of server nodes, permitting many systems to simultaneously benefit from the advantages of prefetching and providing a high degree of scaleability.
Owner:IBM CORP

Method and system for evaluating aggregate digital image

The invention discloses an aggregate digital image assessment system which comprises a motion control module, a computer module, an image acquisition module and a power supply module, an image preprocessing module, an aggregate identity module, an aggregate analysis and evaluation module and a data storage module. The assessment method includes that: a computer sends an instruction to a motion controller for controlling the linear sliding of a laser scanner; a CCD camera takes a picture of aggregate on a scanning board and transforms the image to a digital image; the digital image is transformed to a grey-scale map, And an edge detecting operator is utilized for carrying out image enhancement and restoration to the transformed grey-scale map so as to transform the grey-scale map to a binary image; the aggregate in the binary image is projected and the image of the aggregate in the binary image is detected and separated; IPP image processing and analysis software is used for calculating the three-dimensional coordinate of the surface of the aggregate; quantitative assessment category is carried out to the characteristics of the aggregate to obtain the gradation, the shape, the corner angle and the texture of the aggregate; the computer stores experimental data as well as analysis and assessment results. The aggregate digital image assessment system of the invention can be used for analysis and assessment of the aggregate.
Owner:CHANGAN UNIV

Intelligentized rehabilitation training equipment for hand functions of patients suffering from cerebral injury

The invention relates to hand function rehabilitation training equipment based on a spontaneous movement imagery electroencephalograph. Hardware of the instrument consists of an electroencephalograph signal acquisition and processing module, a hand force signal real-time detection sensor array, a control module based on multisource information fusion and a rehabilitation manipulator module, and software for supporting the active rehabilitation training of hand functions is arranged in a computer. The rehabilitation training equipment provides external compensation assistance or resistance hierarchically by taking movement imagery electroencephalographs of patients who suffer from cerebral injury as a starting signal and the muscle force of hands as a feedback signal in a self-adaptive mode according to the myasthenia state of the patients to assist patients who suffer from dyskinesia in performing passive, assisted and active rehabilitation training, displays the state information of the hand movement functions and the provided external power information for doctors and the patients and provides an objective and quantitative assessment method and an index for clinical rehabilitation diagnosis and treatment. The instrument is easy to use, has a friendly interface and is accepted by the doctors and the patients easily. A user can operate a system of the instrument without programming experiences, and the operating environment is not complex.
Owner:XI AN JIAOTONG UNIV

Bayesian network-based multi-step attack security situation assessment method

The invention relates to a network security situation assessment method, in particular, a Bayesian network-based multi-step attack security situation assessment method. The method includes the following steps that: multi-step attack generating patterns are mined through association analysis, so that an attack graph can be constructed; a Bayesian network is established according to the multi-step attack graph, attack wills, probability of success of attacks and the accuracy of event monitoring are defined as the probability attributes of the Bayesian network; based on the event monitoring, a multi-step attack risk is calculated according to the posterior reasoning and cumulative probability of the Bayesian network; and the security situations of a host and the whole network are quantitatively assessed according to a hierarchical quantitative assessment method. With the method of the invention adopted, the problem of lack of correlation analysis in a network security situation assessment process can be solved. According to the method of the invention, monitoring events are taken into risk assessment, and a network security situation assessment model is accurately established, and therefore, the effectiveness and real-time performance of the method of the invention can be enhanced.
Owner:CHONGQING UNIV OF POSTS & TELECOMM

Data gloves for function rehabilitation training and assessment of hands and monitoring method thereof

InactiveCN103251419AReactivityReflect resistanceDiagnostic recording/measuringSensorsNormal resistanceMuscle force
The invention discloses data gloves for function rehabilitation training and assessment of hands. Each data glove further comprises bent sensor groups which are arranged on the hand back side inside the each data glove in a packaged mode and flexible pressure sensor groups which are arranged on the palm side inside each data glove. The bent sensor groups are placed on finger joints, the pressure sensor groups are placed on the a plurality of key nodes where a hand is in contact with an object when the object is grabbed, and lead-out lines of the bent sensor groups and lead-out lines of the pressure sensor groups are packaged inside each data glove, collected to the outer side of a forearm via the hand back side, and connected with a subsequent hardware processing circuit. The data gloves for the function rehabilitation training and the assessment of the hands are strong in wearability and capable of collecting finger bending angle information and palm pressure information of the hands of a patient, the finger bending angle information and the palm pressure information are used in the hand function rehabilitation training under a virtual environment, and quantitative assessment results of a muscle force range from no joint movement to movement capable of resisting normal resistance can be given.
Owner:RES INST OF XIAN JIAOTONG UNIV & SUZHOU +2
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