81 research outputs found
Semantic social routing in Gnutella
The objective of this project is to improve the performance of the Gnutella peer-to-peer protocol (version 0.4) by introducing a semantic-social routing model and several categories of interest. The Gnutella protocol requires peers to broadcast messages to their neighbours when they search files. The message passing generates a lot of traffic in the network, which degrades the quality of service. We propose using social networks to optimize the speed of search and to improve the quality of service in a Gnutella based peer-to-peer environment. Each peer creates and updates a “friends list” from its past experience, for each category of interest. Once peers generate their friends lists, they use these lists to semantically route queries in the network. Search messages in a given category are mainly sent to “friends” who have been useful in the past in finding files in the same category. This helps to reduce the search time and to decrease the network traffic by minimizing the number of messages circulating in the system as compared to standard Gnutella. This project will demonstrate by simulating a peer-to-peer type of environment with the JADE multi-agent system platform that by learning other peers’ interests, building and exploiting their social networks (friends lists) to route queries semantically, peers can get more relevant resources faster and with less traffic generated, i.e. that the performance of the Gnutella system can be improved
A Convenient Synthesis of 14C-Anthralin
Anthralin [1,8-dihydroxy-9(10H)-anthracenone] is among the most
widely used drugs in the topical treatment of psoriasis1). However, not
much is known concerning its mode of action at the molecular level,
although a variety of cellular targets have been implicated both in the main
and side effects of anthralin2 ). In particular, the interaction of anthralin
with proteins has long been recognized to occur3 , 4 ) and there has been
renewed interest in this topic, mostly directed toward the investigation
whether enzyme inhibition by anthralin is related to oxygen radicalmediated
damage of proteins5 ) . In order to gain a more profound
understanding of the interaction between this drug and cellular targets,
anthralin labelled with a non-exchangeable radioisotope in a suitable
position was highly desirable. Furthermore, this labelled compound might
serve as a useful starting material for the synthesis of analogues labelled in
the anthrone nucleus. Since structural modification of anthralin has
provided compounds with improved biological activity6 '7), labelled
compounds are required for studies on skin penetration and metabolism of
these future drugs.
Although routes to 14C-anthralin have already been described8,9), each of
these methods suffers from too many synthetic steps, or the use of
hazardous 14C-sources1 ) . In this paper, we describe a short and efficient
synthesis of l,8-dihydroxy-[10-14C]-9(10H)-anthracenone
Teaching Robots Novel Objects by Pointing at Them
Robots that must operate in novel environments and collaborate with humans
must be capable of acquiring new knowledge from human experts during operation.
We propose teaching a robot novel objects it has not encountered before by
pointing a hand at the new object of interest. An end-to-end neural network is
used to attend to the novel object of interest indicated by the pointing hand
and then to localize the object in new scenes. In order to attend to the novel
object indicated by the pointing hand, we propose a spatial attention
modulation mechanism that learns to focus on the highlighted object while
ignoring the other objects in the scene. We show that a robot arm can
manipulate novel objects that are highlighted by pointing a hand at them. We
also evaluate the performance of the proposed architecture on a synthetic
dataset constructed using emojis and on a real-world dataset of common objects
Open Arms: Open-Source Arms, Hands & Control
Open Arms is a novel open-source platform of realistic human-like robotic
hands and arms hardware with 28 Degree-of-Freedom (DoF), designed to extend the
capabilities and accessibility of humanoid robotic grasping and manipulation.
The Open Arms framework includes an open SDK and development environment,
simulation tools, and application development tools to build and operate Open
Arms. This paper describes these hands controls, sensing, mechanisms, aesthetic
design, and manufacturing and their real-world applications with a teleoperated
nursing robot. From 2015 to 2022, the authors have designed and established the
manufacturing of Open Arms as a low-cost, high functionality robotic arms
hardware and software framework to serve both humanoid robot applications and
the urgent demand for low-cost prosthetics, as part of the Hanson Robotics
Sophia Robot platform. Using the techniques of consumer product manufacturing,
we set out to define modular, low-cost techniques for approximating the
dexterity and sensitivity of human hands. To demonstrate the dexterity and
control of our hands, we present a Generative Grasping Residual CNN (GGR-CNN)
model that can generate robust antipodal grasps from input images of various
objects in real-time speeds (22ms). We achieved state-of-the-art accuracy of
92.4% using our model architecture on a standard Cornell Grasping Dataset,
which contains a diverse set of household objects.Comment: Submitted to 36th Conference on Neural Information Processing Systems
(NeurIPS 2022
The use of the SeDeM diagram expert system for the formulation of Captopril SR matrix tablets by direct compression
The SeDeM Diagram Expert System has been used to study excipients, Captopril and designed formulations for their galenic characterization and to ascertain the critical points of the formula affecting product quality to obtain suitable formulations of Captopril Direct Compression SR Matrix Tablets. The application of the Sedem Diagram Expert System enables selecting excipients with in order to optimize the formula in the preformulation and formulation studies. The methodology is based on the implementation of ICH Q8, establishing the design space of the formula with the use of experiment design, using the parameters of the SeDeM Diagram Expert System as system responses
- …