International Business Machines Corporation

Yuan Chi Chang

Manoj N Kumar

Chung-Sheng Li

Mohammad Sadoghi Hamedani

Bishwaranjan Bhattacharjee

Mustafa Canim

Timothy Ray Malkemus

Ehab Abdelhamid Mohammed Abdelhamid

A bow sight light mounting kit for illuminating an archery bow includes a bow sight light control unit that includes a power source, a motion sensor, and a customizable timer; an LED light, the LED light adapted for being attached to the bow sight light control unit; and a first mounting plate, the first mounting plate attaching the bow sigh light control unit to the archery bow. The motion sensor detects a movement of the archery bow and sends a signal to the customizable timer; wherein the customizable timer adjusts the LED light to mode-1 after receiving the signal and keeps the LED light on mode-1 for a pre-set time period; the customizable timer adjusts the LED light to mode-2 after the pre-set time period; and the mode-1 and mode-2 are pre-set by a user to control a brightness and a blinking frequency of the LED light.

Motion activated bow sight light

Techniques are provided for pre-filtering of join execution over multi-column range summaries and other synopses. An exemplary method comprises maintaining a synopsis for a plurality of data tables, wherein a given synopsis summarizes a set of records in a corresponding data table; and, in response to a request for a join operation for a set of the data tables: joining the synopses associated with the set of data tables to generate a joined synopsis; for joined records in the joined synopsis, obtaining corresponding records from the set of data tables as candidate records; and joining the candidate records. Two or more of the set of data tables can be distributed across a plurality of nodes and the synopses can be replicated and/or broadcasted across the plurality of nodes. Incremental updates to broadcasted and/or replicated synopses are optionally provided to at least one node.

Pre-filtering of join execution over multi-column range summaries and other synopses

Methods and apparatus are provided for incremental frequent subgraph mining on dynamic graphs. An exemplary subgraph mining method comprises maintaining a set of embeddings comprising matching embeddings of a given subgraph in an input graph; maintaining a first fringe set of subgraphs comprising subgraphs substantially on a fringe of frequent subgraphs in the input graph that satisfy a predefined support threshold; maintaining a second fringe set of subgraphs comprising subgraphs substantially on a fringe of infrequent subgraphs in the input graph that do not satisfy the predefined support threshold; for an edge addition, checking a support of the subgraphs in the second fringe set based on the set of the embeddings and searching for new embeddings created by the edge addition; and for an edge deletion, removing obsolete embeddings that comprise the deleted edge from the first fringe set based on the set of embeddings.

Methods and apparatus for incremental frequent subgraph mining on dynamic graphs

Systems, methods and articles of manufacture are disclosed for building and executing analytics solutions. Such a solution may provide a comprehensive analytics solution (e.g., a risk assessment, fraud detection solution, dynamic operational risk evaluations, regulatory compliance assessments, etc.). The analytics solution may perform an analytics task using operational data distributed across a variety of independently created and governed data repositories in different departments of an organization. A framework is disclosed which allows a user (e.g., a risk analyst) to compose analytical tools that can access data from a variety of sources (both internal and external to an enterprise) and perform a variety of analytic functions.

Growing community of inventors

Armonk, NY, United States of America

Yuan Chi Chang