Abstract: An autonomous cleaning device and a noise reduction air duct device are provided for autonomous cleaning device. The autonomous cleaning device includes a body and a motor arranged on the body, and the noise reduction air duct device is mounted on the body. The noise reduction air duct device includes an upper housing, a lower housing and a support noise reduction structure made of elastic material. The lower housing and the upper housing enclose to form an air duct, an air inlet is arranged at a position of the air duct corresponding to the motor, and an air outlet is arranged on a side of the air duct away from the air inlet; the support noise reduction structure has a first end fixed on the lower housing, and a second end abutting against a lower surface of the upper housing.

Abstract: A device (20) and method for controlling a camera (10) are provided. The device comprises an input unit (21) configured to obtain video data from the camera; an image processing unit (22) configured to determine from the obtained video data if a particular person is present alone in a first area monitored by the camera; a control unit (23) configured to generate a control signal for controlling the camera to operate in a first monitoring mode or a second monitoring mode based on the determination by the image processing unit if the particular person is present alone in the first area monitored by the camera; and an output unit (24) configured to output the control signal to the camera.

Abstract: A computer-implemented method is provided for computer intrusion detection. The method includes establishing a mapping from low-level system calls to user functions in computer programs. The user functions run in a user space of an operating system. The method further includes identifying, using a search algorithm inputting the mapping and a system-call trace captured at runtime, any of the user functions that trigger the low-level system calls in the system-call trace. The method further includes performing, by a processor device, intrusion detection responsive to a provenance graph with program contexts. The provenance graph has nodes formed from the user functions that trigger the low-level system calls in the system-call trace. Edges in the provenance graph have edge labels describing high-level system operations for low-level system call to high-level system operation correlation-based intrusion detection.

Abstract: A system (10) is for performing ECG measurements and comprises a probe (12) with an integrated one or more ECG electrodes (22) and an ultrasound sensing means (18), such as a transducer arrangement. The probe thus provides a mobile ECG electrode which can be sequentially moved between a set of different locations on the body for acquiring ECG measurements from different angles relative to the heart (i.e. different ‘leads’). Positioning of the probe in each required location is guided by a position guidance function which uses ultrasound data acquired by the ultrasound sensing means to locate the probe (with reference to an ultrasound body atlas (28) or map), and uses a stored set of reference body locations to guide a user with guidance information as to how to move the probe to arrive at a next target electrode location. In examples, the user may be guided through a sequence of electrode locations, with ECG data acquired at each one, thereby sequentially building up a set of standard ECG lead measurements.

Abstract: An ultrasound transducer unit (12), e.g. probe, is configured with a friction guiding function. The transducer unit (12) comprises a vibration generating means (20) at a tissue contact area, and has means for sensing a sliding direction of the transducer unit across a tissue surface (42) at which the contact area is incident. The tissue surface may be an external skin surface or an internal tissue surface, e.g. in case of a catheter. A control means is operable to control the vibration of the vibration generator to adjust a level of friction at the tissue contact area. This is used by the control means to implement a friction guiding function for guiding a user in sliding the unit across the incident surface, e.g. toward a target location (44), based on controlling the friction level responsive to sensed sliding direction, for instance providing lower friction when sliding is in a target direction, while leaving other directions with relative higher frictional resistance.

Abstract: A computer-implemented method is provided for computer intrusion detection. The method includes establishing a mapping from low-level system calls to user functions in computer programs. The user functions run in a user space of an operating system. The method further includes identifying, using a search algorithm inputting the mapping and a system-call trace captured at runtime, any of the user functions that trigger the low-level system calls in the system-call trace. The method further includes performing, by a processor device, intrusion detection responsive to a provenance graph with program contexts. The provenance graph has nodes formed from the user functions that trigger the low-level system calls in the system-call trace. Edges in the provenance graph have edge labels describing high-level system operations for low-level system call to high-level system operation correlation-based intrusion detection.

Abstract: Currently, there is interest in applying machine learning techniques to analyse digital pathology images automatically. Machine learning techniques often rely on training with a ground-truth image input. The quality and amount of training data determines the quality of the detector, as expressed in the rate of true and false positives, and robustness against variations in the appearance of the input images. The present application proposes to obtain image data of the same sample before and after at least one re-staining step (firstly with a structure-revealing stain, and secondly with a bio marker revealing stain). Sections of the first and second image data having a good registration relationship are chosen, along with the probability of detecting a desired candidate object (such as nucleus) and the probability of the bio marker revealing stain being present annotation data suitable for training a machine learning algorithm on the first and/or the second image data is provided.

Abstract: The invention relates to a printing control device (10) to control printing of a cover layer on a tissue or cell sample to be examined, a system (1) for printing of a cover layer (1) on a tissue or cell sample to be examined, a method to control printing of a cover layer on a tissue or cell sample to be sample to be examined, a computer program element for controlling such device or system for performing such method and a computer readable medium having stored such computer program element. The printing control device (10) comprises an imaging unit (11) and a printing control unit (12). The imaging unit (11) is configured to provide image data of the sample, and to determine a local image parameter from the image data. The local image parameter relates to local tissue porosity and/or a local capillary force of the sample. The printing control unit (12) is configured to control a printing parameter for printing the cover layer on the sample based on the local image parameter.

Abstract: The present application provides a cover plate for a flexible display screen and a flexible display screen, the cover plate comprises deformable regions and non-deformable regions spaced apart along a first direction, the deformable regions comprising memory metal for connecting the non-deformable regions, the number of the non-deformable regions is not less than four; wherein, when the memory metal of the deformable regions is in a low temperature phase shape, the projections of the non-deformable regions at least partially overlaps in a direction perpendicular to the display screen; when the memory metal of the deformable regions is in a high temperature phase shape, the deformable regions and the non-deformable regions are on a same horizontal plane.

Abstract: The present invention relates to detecting objects in medical images. In order to provide an improved detection of objects in medical images, a medical image detection device (10) is provided that comprises an image data input (12) and a processing unit (14). The image data input is configured to receive image data of a biological sample. The processing unit comprises a detector (16) and a classifier (18). The detector is configured to detect objects of interest in the sample by a detection in the image data of at least one predetermined object feature. The detected objects being candidate objects, wherein the candidate objects comprise true positives and possible false positives. Further, the classifier is configured to classify the possible false positives as false positives or as true positives. The classifier is a trained classifier, trained specifically to recognize the false positives of the detector.

Abstract: The present application provides a cover plate for a flexible display screen and a flexible display screen, the cover plate comprises deformable regions and non-deformable regions spaced apart along a first direction, the deformable regions comprising memory metal for connecting the non-deformable regions, the number of the non-deformable regions is not less than four; wherein, when the memory metal of the deformable regions is in a low temperature phase shape, the projections of the non-deformable regions at least partially overlaps in a direction perpendicular to the display screen; when the memory metal of the deformable regions is in a high temperature phase shape, the deformable regions and the non-deformable regions are on a same horizontal plane.

Abstract: A monitoring apparatus for monitoring an ablation procedure applied to an object comprises an ultrasound signal providing unit for providing an ultrasound signal. The ultrasound signal is produced by sending ultrasound pulses out to the object, by subsequently receiving dynamic echo series after the ultrasound pulses have been reflected by the object, and finally by generating the ultrasound signal depending on the received dynamic echo series, whereby ultrasound scattering properties of the object are determined that represent blood perfusion. The monitoring apparatus further comprises an ablation depth determination unit for determining an ablation depth from the provided ultrasound signal.

Abstract: The invention relates to an imaging system for imaging a periodically moving object. An assigning unit (18) assigns ultrasound signals like A-lines to motion phases based on a provided phase signal, wherein an ultrasound images generation unit (19) generates several ultrasound images like gated M-mode images for the different motion phases based on the ultrasound signals assigned to the respective motion phase. A selecting unit (20) is used to select an ultrasound image from the generated ultrasound images, wherein a display unit (21) displays the selected ultrasound image. The selected ultrasound image corresponds therefore to a single motion phase only such that motion artifacts in the displayed ultrasound image are reduced. The imaging system is particularly useful for, for instance, monitoring cardiac ablation procedures.

Abstract: The invention relates to an imaging system for imaging a periodically moving object. An assigning unit (18) assigns ultrasound signals like A-lines to motion phases based on a provided phase signal, wherein an ultrasound images generation unit (19) generates several ultrasound images like gated M-mode images for the different motion phases based on the ultrasound signals assigned to the respective motion phase. The ultrasound images are temporally consecutively displayed on a display unit (21) for showing the periodic movement of the object (24). The resulting dynamic, movie-like image of the object allows a user like a physician to more reliably determine properties of the object like a thickness of a tissue wall, in particular, during an ablation procedure. The imaging system is therefore particularly useful for monitoring cardiac ablation procedures.