International Business Machines Corporation

Robert K Overton

John S Werner

Arkadiy O Tsfasman

Patrick Joseph Callaghan

George Henry Ahrens, Jr

Alan David Seid

Stephen V Feustel

Richard Jeffrey Planutis

Pasquale A Catalano

Noah B Singer

Andrew Gerald Crimmins

Anuradha Rao

An apparatus according to one embodiment includes a container having an interior, and a divider in the interior of the container. The divider selectively separates the interior into first and second compartments. The divider is configured to keep bees located in the first compartment separated from bees in the second compartment when in a closed configuration, and to allow the bees positioned in the first compartment to enter the second compartment when in an open configuration. The apparatus also includes an image capture device for capturing images of the bees in the interior of the container, and an outlet for permitting ingress and egress of the bees from the second compartment. The container is configured to prevent the bees from escaping from the first compartment.

Smart containment structure for apitherapy

A cognitive hive architecture for determining and managing a hive health index of a hive. The cognitive hive architecture is executable by a processor in communication with a computing device or a computing environment. The cognitive hive architecture includes sensors embedded within the hive. The cognitive hive architecture acquires data from the sensors, which are monitoring real-time conditions of the hive. The data being representative of the real-time conditions. The cognitive hive architecture tags the data to physical identifications and positional identifications to produce tagged data. The cognitive hive architecture associates the tagged data to physical profiles and positional profiles and generates the hive health index based on the physical profiles and the positional profiles.

Cognitive hive architecture

Embodiments include method, systems, and computer program products for felling a tree. The method includes scanning, using a processor, a tree and an environment within a predetermined radius around the tree. The processor calculates an approximate center of gravity (CoG) for the tree in response to the scanning of the tree. The processor further receives a desired tree fall direction. The processor further provides attachment locations on the tree for attaching one or more tree felling assistance devices. The processor further instructs each of the one or more tree felling assistance devices to apply a first force to the tree in which the first force applied by each of the one or more tree felling assistance devices in conjunction with one or more cuts applied to the tree, fells the tree.

Environmental scanning and tree cutting guidance

A method in a data processing system for monitoring for errors on a network. Responsive to detecting a change in a state of the network, determine whether the change in state is a loss of a communications link to a remote data processing system. If the change in state is a loss of the communications link, determine whether the communications link was established for at least a first period of time to be considered an acceptable connection to the remote data processing system; and create a new serviceable event, if a second period of time passes without reestablishing the communications link to the selected data processing system. Repeat occurrences of identical outages are tracked and multiple detected instances of an outage for different partitions are counted as a single failure in the examples.

Method and apparatus for customizable surveillance of network interfaces

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Olivebridge, NY, United States of America

Robert K Overton