International Business Machines Corporation

Stephen John Heisig

Gong Su

Donna N Dillenberger

Katsuyuki Sakuma

Donald W Schmidt

Venkat K Balagurusamy

Bernard R Pierce

Greg A Dyck

Jing Jing Xiao

Jia Zou

Yu Fen Yuan

Yan Qi Wang

James R Kozloski

John Ulrich Knickerbocker

Joseph W Ligman

John Jeremy Rice

Marco Cavallo

Robert Vaupel

Ingolf Salm

Michel Henri Théodore Hack

Joshua Wilson Knight, Iii

Avner Abrami

Michael Angelo Stellitano

Gaddi Blumrosen

An apparatus includes: a memory embodying three-dimensional data and computer executable instructions; sensors detecting a movable controller in a real space; at least one processor, operative by the computer executable instructions to facilitate: mapping the three dimensional data to a virtual space; tracking a real position and orientation of the movable controller using data from the sensors; converting the real position and orientation into a virtual position and orientation relative to the three dimensional data; identifying a selected region of the three dimensional data, which is tethered to the virtual position and orientation; and rendering the three dimensional data in the virtual space, with the selected region being rendered differently from the remainder of the three dimensional data; and showing a user the rendering of the three dimensional data in the virtual space by activating a virtual or augmented reality display that is activated by the at least one processor.

Visually interacting with three dimensional data in augmented or virtual reality

Mechanisms are provided to implement an intraoral control mechanism that allows a user to control an operation of a computer system or an electronic device. The intraoral control mechanism detects a strain based on a tongue of a user moving a control mechanism away from a fixed position; transduces the detected strain into a control signal; amplifies an amplitude of the control signal thereby producing an amplified control signal; converts the amplified control signal to a digital input signal; modulates the digital input signal onto a transmission frequency wave; and transmits the digital input signal to the computer system. The computer system may then either execute the digital control signal on the computer system itself to perform an operation or transmit the digital control signal to the electronic device so as to operate as indicated by the digital control signal. The digital input signal is saved for characterization of the user.

Intraoral device control system

A method includes measuring, using at least one sensor, strain on a nail plate of a subject, wherein the at least one sensor outputs a data stream corresponding to the measuring, communicating the data stream to a receiver, and interpreting, by the receiver, the data stream to determine a parameter of interest of the subject.

Quantifying grip strength and characterizing movement idioms

Writing recognition using a wearable pressure sensing device includes receiving pressure measurement data from a pressure sensor disposed upon a body part of a user. The pressure measurement data is indicative of a change in pressure of the body part due to an interaction of the body part with a medium indicative of a writing gesture by the user. A start boundary and end boundary for each of a plurality of writing symbols is detected based upon the pressure measurement data. At least one feature of the pressure measurement data associated with the plurality of writing symbols is extracted. A symbol pattern is detected based upon the extracted features, and at least one letter is detected based upon the symbol pattern. A word is detected based upon the detected at least one letter.

Writing recognition using wearable pressure sensing device

Embodiments for continuous time alignment of a collection of independent sensors monitoring a common entity by one or more processors. One or more activity events associated with a monitored entity may be identified in the time series sensor data collected from a plurality of sensors. The one or more activity events may be dynamically characterized in the time series sensor data using a machine learning operation. The time series data streams from each of the plurality of sensors may be time-aligned by aligning the one or more activity events.

Continuous time alignment of a collection of independent sensors

A sensor includes a bridge circuit including one or more strain gauges mounted on a nail plate, the bridge circuit outputting a voltage signal, an amplifier circuit amplifying the voltage signal output by the bridge circuit to generate an amplified signal, an analog-to-digital (A/D) converter converting the amplified signal into a digital signal, a controller receiving the digital signal and facilitating communication with a receiver, and an antenna configured to transmit the digital signal.

Embodiments include methods, systems and computer program products for communicating the presence of a target DNA or RNA sequence. Aspects include receiving a plurality of images of a sample taken by a portable video capture device. Aspects also include calculating a change in position over time of microscopic beads coated with DNA probe sequence in a sample containing genetic material. Aspects also include determining whether the beads are displaying Brownian motion. Aspects also include, based upon a determination of that the beads are displaying Brownian motion, generating a negative output message and sending the negative output message to a portable display. Aspects also include, based upon a determination of that the beads are not displaying Brownian motion, generating a positive output message and sending the positive output message to a portable display.

Detection of pathogens and allergens

A technique relates to determining a presence of a known nucleic acid sequence of a known molecule in a sample. A sample surface is coated with a select segment of the known molecule. Beads are coated with a first molecule. A targeted nucleic acid sequence is attached to a second molecule that binds to the first molecule, such that the targeted nucleic acid sequence is attached to the beads via first and second molecules. The sample is placed on the sample surface. The sample includes the liquid medium, beads, and targeted nucleic acid sequence being tested. Brownian motion of beads is monitored to determine whether the Brownian motion of the beads is restricted or not restricted. When the Brownian motion of beads is restricted, the presence of the known nucleic acid sequence is in the sample, thus indicating that the targeted nucleic acid sequence is the known nucleic acid sequence.

Cellular phone based optical detection of specific nucleic acid sequences

This invention relates to a method and device for computer system performance analysis. All instructions are split into clusters based on significant offset gaps in top-down processing steps. Comments on instruction clusters can be generated automatically or can be edited manually. The comments can be shared among users for the achievement of portability. Significant clusters can be recognized as hotspots based on predetermined metrics.

Computer system performance analysis

A method for determining status of system resources in a computer system includes loading a first operating system into a first memory, wherein the first operating system discovers system resources and reserves a number of the system resources for use of an augmenting operating system, loading the augmenting operating system into a second memory reserved for the augmenting operating system by the first operating system, accessing the first memory from the augmenting operating system and obtaining data, running a process on the augmenting operating system to perform a computation using the data obtained from the first memory, and outputting the results of the computation using the system resources reserved for the augmenting operating system.

Determining the status of virtual storage in the first memory within the first operating system and reserving resources for use by augmenting operating system

Methods and devices for splitting instructions into clusters based on significant offset gaps in top-down processing steps are provided. The methods and devices allow that comments on instruction clusters can be generated automatically or can be edited manually. The comments can be shared among users for the achievement of portability. Significant clusters can be recognized as hotspots based on predetermined metrics.

A computer-implemented method for distributing a plurality of tasks over a plurality of processing nodes in a processor network includes the following steps: calculating a task process consumption value for the tasks; calculating a measured node processor consumption value for the nodes; calculating a target node processor consumption value for the nodes, the target node processor consumption value indicating optimal node processor consumption; calculating a load index value as a difference between the calculated node processor consumption value for a node i and the target node processor consumption value for node i; and distributing the tasks among the nodes to balance a processor workload among the nodes, according to the calculated load index value, such that the calculated load index value of each node is substantially zero. The method further embodies a multi-dimensional balancing matrix, each dimension of the matrix representing a node corresponding to a different processor type and each cell representing tasks assigned to multiple nodes.

Affinity dispatching load balancer with precise CPU consumption data

A system for distributing a plurality of tasks over a plurality of nodes in a network includes: a plurality of processors for executing tasks; a plurality of nodes comprising processors; a task dispatcher; and a load balancer. The task dispatcher receives as input the plurality of tasks; calculates a task processor consumption value for the tasks; calculates a node processor consumption value for the nodes; calculates a target node processor consumption value for the nodes; and then calculates a load index value as a difference between the calculated node processor consumption for a node i and the target node processor consumption value for the node i. The balancer distributes the tasks among the nodes to balance the processor workload among the nodes according to the calculated load index value of each node, such that the calculated load index value of each node is substantially zero.

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Tarrytown, NY, United States of America

Stephen John Heisig