Unifying Multiple Knowledge Domains Using the ARTMAP Information Fusion System

Sensors working at different times, locations, and scales, and experts with different goals, languages, and situations, may produce apparently inconsistent image labels that are reconciled by their implicit underlying relationships. Even when such relationships are unknown to the user, an ARTMAP information fusion system discovers a hierarchical knowledge structure for a labeled dataset. The present paper addresses the problem of integrating two or more independent knowledge hierarchies based on the same low-level classes. The new system fuses independent domains into a unified knowledge structure, discovering cross-domain rules in this process. The system infers multi-level relationships among groups of output classes, without any supervised labeling of these relationships. In order to self-organize its expert system, ARTMAP information fusion system features distributed code representations that exploit the neural network’s capacity for one-to-many learning. The fusion system software and testbed datasets are available from http://cns.bu.edu/techlabNational Science Foundation (SBE-0354378); National Geospatial-Intelligence Agency (NMA 201-01-1-2016

Searching the Sky with CONFIGR-STARS

SyNAPSE program of the Defense Advanced Projects Research Agency (HRL Laboratories LLC, subcontract #801881-BS under DARPA prime contract HR0011-09-C-0001); CELEST, a National Science Foundation Science of Learning Center (SBE-0354378)CONFIGR-STARS, a new methodology based on a model of the human visual system, is developed for registration of star images. The algorithm first applies CONFIGR, a neural model that connects sparse and noisy image components. CONFIGR produces a web of connections between stars in a reference starmap or in a test patch of unknown location. CONFIGR-STARS splits the resulting, typically highly connected, web into clusters, or "constellations." Cluster geometry is encoded as a signature vector that records edge lengths and angles relative to the cluster’s baseline edge. The location of a test patch cluster is identified by comparing its signature to signatures in the codebook of a reference starmap, where cluster locations are known. Simulations demonstrate robust performance in spite of image perturbations and omissions, and across starmaps from different sources and seasons. Further studies would test CONFIGR-STARS and algorithm variations applied to very large starmaps and to other technologies that may employ geometric signatures. Open-source code, data, and demos are available from http://techlab.bu.edu/STARS/

Utilization of various industrial wastes for the production of poly-b-hydroxy butyrate (PHB) by Alcaligenes eutrophus

Considering the industrial interest of poly-b-hydroxy butyrate (PHB) and its high production cost, work has been undertaken for the production of PHB by Alcaligenes eutrophus. Different industrial wastes (malt, soya, sesame, molasses, bagasse and pharmaceutical waste) were used as a cheap substrate to minimize the production of cost and nitrogen limited minimal agar synthetic medium was also used for comparison. Accumulation of PHB granules in the organism was analyzed by sudan black method. ThePHB production in various industrial waste based medium and nitrogen limited minimal agar synthetic medium was studied by crotonic acid method. The pure form of PHB was collected and qualitatively analyzed by infrared and nuclear magnetic resonance methods. Highest PHB production was found innitrogen limited minimal agar synthetic medium. Among the various industrial wastes based media, highest yield was obtained with sesame oil waste as carbon sourc

Stability of Video Rate Control Algorithms Over Bandwidth-limited Network Paths

Abstract-The paper considers the stability of AIMD-based rate adaptation algorithm for video transmission over a bandwidth-limited network path. We examine the stability aspects from two angles: first, a quick relief from congestion by a faster reduction of send rate, and second, a larger limit-cycle time with a slow rate reduction in the steady-state (and hence lower rate jitter). The stability assessment also considers the loss of feedback signals from the video receiver that indicate the packet loss on data channels. We provide a managementoriented assessment of the convergence properties of video rate control system. This in turn allows an autonomic adjustment of the AIMD parameters and the system controller models for optimal performance