Licenses overview

The invention relates to protection against unauthorized access to files stored in a computer network. The object of the invention is to provide a computer system which makes it possible to selectively limit the access to files without requiring extra measures when copies are made within the computer system and without requiring encryption.

The invention makes use of a gate device in a communication channel between a network domain and an external connection such as a connection to the Internet. The gate device is arranged to check for the presence of a security tag in all files sent to the external connection via the communication channel. Depending on the presence or absence of this security tag, the gate device limits the free sending of the file to the external connection.

Applications

Applications for this invention are typically environments where distribution of files needs restriction. Especially firewall and network security device manufacturers could benefit from this technology.

Technical Summary

A file is provided with a security tag, based on which a selective check is performed by the gate device for the access possibilities to the file outside the network domain. Within the local network every user has access to the file. But out of that, access is limited. Thus, a domain specific protection is provided. In principle, the invention can be applied to all forms of file sending, for instance sending as part of e-mail protocols (SMTP), as part of file transfer protocols (FTP), as part of hyperlink protocols (HTTP) or any other sort of protocol.

Plasma technology is used to modify the chemical structure as well as the topography of textiles, foils, composites and other fibrous material. It has the ability to add functional characteristics to materials, for example water resistance or absorption, antibacterial properties, improved adhesion etc. Conventional plasma systems are established in the industry but have the disadvantage that they operate at vacuum, have a small treatment surface or operate at high temperatures. TNO has developed a technology that overcomes these drawbacks and is well suited for continuous production processes.

For coating of materials with very thin layers (300nm), TNO has developed SDBD (Surface Dielectric Barrier Discharge) Plasma. This plasma, generated at room temperature and atmospheric pressure, can be precisely controlled and can therefore easily be used in a continuous production process. For example, SDBD plasma can provide a hydrophobic coating on the individual fibers, thus maintaining breathability and natural feel of cotton. Main advantages are:

• Almost at room temperature (Application for temperature sensitive materials)
• Dry process (no need to dry or for waste water)
• Applicable in continuous process
• Operates under atmospheric pressure
• Easy control of power and coating process
• Up scalable to production widths up to 4 m
• Low energy consumption

Applications

SDBD plasma technology can be applied for activation or coating of textile, foils, composites etc. in order to achieve an improved:

• Adhesion
• Dyeability
• Corrosion resistance
• Antimicrobial characteristics
• UV protection
• etc.

Technical Summary

SDBD plasma created by adding electrical energy to the gas near the surface. The substrate, for instance cotton, is guided through the plasma with a roll to roll system. A gaseous precursor can be added over the plasma to achieve the optimum coating effect. Various demonstrations have been given with astonishing results to the customer, at low operational costs. The technique has been applied in several pilot applicatiosn to enhance the properties of fibers and textiles. Some examples are:

• Hydrophobization of cotton
• Anti-microbial layers in bandages
• Corrosion protective coatings on metallized fabrics
• Increase of surface energy of Polyethylene fibers
• Dying of Polypropylene foil
• Improved adhesion of PET fabric to a PU or PVC coatings

Telecom and internet have undergone significant changes due to the advent HFC, satellite and Wimax-networks. However, this has not rendered legacy copper based networks useless. In most countries competitive DSL solutions exist for the "last mile". An important characteristic/drawback of existing xDSL solutions is that it uses a dedicated pair of copper wires between subscriber and exchange (DSLAM). This precludes subscribers from using idle capacity of other neighboring xDSL subscribers. Thus valuable transmission capacity/bandwidth goes to waste/is lost. DSL bandwidth may now be sufficient for most subscribers but transmission capacity over DSL is nearing its physical limits.

Limited upgradeability of xDSL lines has been widely regarded to be a serious drawback of DSL technology. The invention however presents a cost-efficient way to further enhance transmission capacity over DSL networks. By creating individually accessible virtual high speed internet access the upgradeability issue is addressed. This is achieved by virtually bundling several neighboring xDSL lines by interconnecting the individual subscribers by means of a meshed (radio) network and inverse multiplexing up- and downstream traffic generated by the individual subscribers.

Applications

Because of the flexibility these systems and methods offer, they would be extremely useful to any company involved in managing network traffic or manufacturing network equipment.

Technical Summart

Inverse multiplexing of the individual data streams is performed through an algorithm embedded in a (distributed) software module in the local interconnection network. A reciprocal algorithm in the cloud recombines the split data streams into the original data stream generated by the individual subscriber. With downstream data a similar process is performed.

This invention is designed to search radar data for useful information. Specifically, it assists data analysis by producing a "semantic parameter," which is a quantitative value connected to a specific type of object. For example, it might take a data set recorded from a walking person and yield specific values for the speed of the torso or the leg. The goal of the invention is to make radar data easily legible according to previously specified terms.

The method calls for the determination of a velocity envelope for different objects. Whoever programs the detector must have some idea about the type of objects to be detected. For example, they must introduce some basic differentiation, such as the difference between upper and lower body. Different elements of the object are subsequently sorted and classified according to existing parameters. Data can then be accessed in terms of these parameters; leg speed, for example, can be analyzed as a separate variable. The invention can also be used to analyze relations between still objects.

Applications

• Detection of moving speed of the human body
• Analysis of individual moving parts
• Determination of how a human body is moving: i.e., walking, running, bicycling, swimming, or other types of locomotion
• Detect other types of movement: vehicles, animals, or any other object with specified parameters

Technical Summary

The invention calls for a radar signal which collects data about nearby moving objects. This data is then fed into a program, which classifies values according to specified semantic values. The method defines a range of values which it interprets as relevant. Within this range, the average speed is taken as the speed of the primary object (i.e., the torso, in the case of the human). Other objects are discerned on the basis of their different frequencies. I.e., swinging arms are identified because they move forward and backward quickly.

This invention is designed to evaluate the motion of multiple cameras with (at least partially) overlapping views of a 3D space. Many methods for estimating this type of motion exist, but they are inaccurate due to misperceptions of landmarks, as well as inefficient due to the high volume of processing power they require. The method succeeds empirically compared to a well-used existing approach known as RANSAC.

This invention adds extra parameters to existing techniques for estimating the motion of a camera array. These include the calculation of likely error in order to reduce the impact of outlier landmarks on the overall estimate. The method uses a loop of estimates, moving back and forth between the large dataset and the single motion estimate; an algorithm will check the motion estimate against the evaluations of landmarks. The method also outputs a final uncertainty value associated with its estimate.

Applications

One particular use for the invention is in estimating the motion of a moving vehicle using two visual inputs arrayed in stereo. Motion of the vehicle is determined by establishing corresponding landmarks between the two cameras. The invention can be hardwired into a camera system or hosted in a computer program, potentially stored on a CD or DVD, that can be installed to perform this type of estimate.

Technical Summary

The method begins with simple left-to-right matching of pixels between the different cameras, followed by triangulation used to estimate position relative to a primary object. The method calls for a set of uncertainties associated with each point. These data allows the algorithm to weight its motion estimates on the basis of likely data quality. The utility of landmarks for the estimate will be weighted according to a system of minimal squared distances. The algorithm evaluates the Bhattacharyya distance between the probability distributions found by the initial evaluation.

This invention is designed to improve the resolution attributed to a small object (bundle of pixels) moving across a series of digital frames. It is typically difficult to attain good resolution for this type of object in the context of a complicated scene. The invention improves a process called Super-Resolution (SR) for gathering data about the object from across multiple frames. Existing methods describe the use of SR to improve resolution for an object that would be blurry in a single given frame; however, they fail when tracking particularly small objects across the sequence.

The particular advance of this method involves using an iterative optimization function to improve resolution for a single object. First the process creates a high-resolution model of the image background. The object is then detected and registered frame by frame. The method then calls for an algorithm to define the boundary and intensity of the object. The algorithm minimizes "costs" associated with describing the object by prioritizing consistency and penalizing irregularity—for example, "spikes" from the background into the object.

Applications

This method can be used as part of long-range detection devices, such as visual and infrared cameras. Other suggested uses include alarm systems, and vehicle alerts. Although the method represents a particular advancement for the resolution of small objects, it also works to improve resolution for larger objects. It is particularly useful for creating a high-resolution image of an object moving at relatively constant velocity.

Technical Summary

The method calls for defining a geometrically precise polygon around the object to be detected. The polygon defines the difference between object (foreground) and background. The method independently defines camera blurring and noise in order to cancel them. It uses a cost function to locally optimize decisions about which pixels to include as part of the object or part of the background. Protrusions into the object ("spikes") are penalized in this algorithm, while regularity is preserved. This method also assumes minimal acceleration on the part of the small moving object.

This invention is designed to for upgrading color images to compensate for noise reduction without generating a large color shift. This color shift takes place when separately upgrading different color planes of an image. The invention improves on existing methods by creating a separate enhanced gray-tone image from which to derive edges, which is used to enhance the color planes of the image.

The method uses an enhanced gray-tone image as the basis for upgrading colors. All color upgrades are based on relevant edges determined from the gray-tone image. It calls for analyzing a sequences of images together in order to find the edge information. The noise reduction of the color planes is performed using the edge information. This process preserves the color consistency of the image.

Applications

This invention can be used for any kind of photo and video editing software in which the user may want to modulate the process of noise reduction in a color image. It lends itself well to an easy-to-use interface allowing the user to request an image upgrade without needing to do very much hands-on editing. The method may also be used for the automatic production of color images without the need for user-guided upgrades. It will be particularly useful for color photos and videos taken in dark places, and for cameras needing a "night view mode."

Technical Summary

The method calls for the creation of enhanced gray tone images, based on an original set of color images, using luminance or lightness as the main criterion for the creation of grayscale values. This enhancement may be done spatially or temporal. A new image, with the edge information of the gray tone image is constructed. Upgrades for the color planes now take place using on edge information given in the gray tone image. These edges may additionally be weighted according to importance.

Existing patents describe a method for detecting moving objects from a moving camera, using a system that compares multiple frames. Subtraction between two images leaves objects as a remainder. This process can be somewhat messy, since the process of comparing two frames requires simultaneous interpretation of the background and of the object. The proposal involves using an artificially high-resolution image to organize the comparison between images. The inclusion of this synthetic image has the power to decrease the noise of the captured images.

The invention calls for image processing that, rather than compare one frame to the next, first creates a higher-resolution synthetic image based on multiple frames. Individual frames can then be compared to the larger image, which represents the background more accurately. A moving camera actually makes the creation of the synthetic image easier, because it creates more data about the background—it creates variation in the range of visual reality described by each pixel. Once the background is established, the system can more easily identify, track, and image a given moving object.

Applications

• Increase accuracy of object detection and tracking
• Improve resolution of individual collected images
• Decrease false positives generated by noise associated with frame-by-frame subtraction

Technical Summary

Multiple frames collected from an input source are synthesized into a higher-resolution background image using previously known techniques. Several options are available for this synthesis, such as the use of even or odd images. The associated computer program will use an algorithm that identifies a certain threshold for object detection; if pixels differ in this degree from the background composite, the program will register the existence of a moving object. The computer program can then also track the object across multiple frames and/or yield an extracted image of the object.

An existing Japanese patent describes an amplifier for high-frequency signals. This amplifier contains a "gate bias stage," a sub-circuit intended to reduce variability in signal stemming from fluctuations in power. Naturally, amplifiers are prone to magnifying input errors. Various errors can arise in the process of harnessing direct current. This invention concerns the stabilization of the initial voltage to prevent noticeable variations in the amplified signal; it improves on that Japanese patent by adding a resistor.

This invention introduces an improvement into the gate bias stage of a high-frequency amplifier. The invention adds a supplementary resistor that goes into effect only if the input signal remains higher than a desired threshold. The extra resistor minimizes the effect of fluctuations in the power supply by eliminating the effects of variation above a certain level.

Applications

• Improve amplification process in situations where fluctuations in output would be functionally or aesthetically detrimental
• Compensate for particular variability in power supplies.

Technical Summary

The invention describes a circuit designed to amplify high-frequency (Gigahertz range) signals. An extra resistor is added between two transistors in the bias sub-circuit. The resistor falls between the first transistor and the ground and intervenes at the negative power supply. A variation uses an additional resistor that affects the positive power supply. The invention also covers more complex variations.

Lower-frequency electromagnetic radiation, typically microwaves or radar, can be used to discern the location of hidden objects by passing through obstacles such as walls and floors. Existing technologies for detecting objects behind obstacles suffer from a lack of precision. They often have difficulty, for example, in determining whether the target is in front of or behind a particular obstacle. Both passive and active devices have difficulties of this type. Obstacles may also interfere with the signal. This invention uses two active microwave systems to improve the effectiveness of detection.

The invention uses two microwave transmitter modules operating at two different frequencies. One frequency is designed to penetrate the obstacle (e.g. a wall) and the other will not. Return signals are detected by two receivers or by one integrated receiver. Comparing the data from the two signals allows clear differentiation of an object's position relative to the obstacle. Frequencies can be varied depending on the materials that will typically constitute obstacles for the system. A larger range of obstacles implies the need for a larger difference between the two transmitted frequencies.

Applications

• Detecting hidden objects behind walls in a home and quickly differentiating these from furniture. May be useful for any type of surveillance.
• Military use: efficiently differentiating between revealed and concealed objects in an unknown situation.

Technical Summary

The invention calls for two microwave transmitters. One module is higher frequency, preferably greater than four times the other, and as a consequence less able to penetrate obstacles. 2GHZ and 20GHZ are cited as workable frequencies. Both frequencies may undergo continuous modulation. The transmitters should be positioned close together. A third frequency may be used to differentiate between different types of obstacles, or to detect different types of objects. The invention also covers a simple computer program that would classify objects on the basis of their responses to the two signals.

Existing techniques for increasing visual contrast suffer when single images contain various types of borders. The existence of strong edges may cause weak edges to become lost in the contrast enhancement process. In particular, the contrast function can be guilty of wiping out small artifacts near large borders. Changing the threshold for contrast may cause an excess of noise in other areas. The invention proposes a technique for increasing the visibility of both weak and strong edges.

The invention uses a localizing algorithm to improve contrast on visual displays. It compares each pixel to its neighbors and then assigns weight to each on the basis of local similarity. Pixel weights are used to determine the edge locations, which are then used in a modification of the whole image's contrast. This system will increase the visibility of weak edges, and can be supplemented with the secondary use of other filters that affect strong edges equally. This contrast function can be performed, as is typical, for intensity, but also for a specified color axis.

Applications

• Improve any image enhancement software.
• Specifically useful for images which contain small artifacts near large boundaries; this technique will be particularly good at preserving the artifacts without otherwise distorting the image.

Technical Summary

The algorithm analyzes small-scale statistical data in order to determine whether an edge is present. It also seeks to determine whether a gradient exists and, if not, to increase the strength of the contrast effect. This calculation is made on the basis of the similarity—for whatever value—of each pixel to its neighbors. The results of this calculation inform the image editor to transform each pixel within a specified range. The user may define a 'stretching factor,' which specifies the relationship between the inputted difference between two pixels and the resulting output image.