An Incremental Learning Framework for Human-Like Redundancy Optimization of Anthropomorphic Manipulators

Redundancy resolution of manipulators through torque optimization

Controlled Redundancy in Incremental Rule Learning

This paper introduces a new concept learning system. Its main features are presented and discussed. The controlled use of redundancy is one of the main characteristics of the program. Redundancy, in this system, is used to deal with several types of uncertainty existing in real domains. The problem of the use of redundancy is addressed, namely its influence on accuracy and comprehensibility. Ex...

Investigation of methods for constructing gloves with tactile and force feedback for virtual reality and telecontrol of anthropomorphic manipulators

Aims. Devices that allow using the functionality of natural hand movements are of the greatest interest. The purpose of this study is to select areas of research at the intersection of several fields of science – biomechanics and cybernetics to develop scientific and technical approaches to track the movements of the operator's fingers and form feedback tactile and force communication received ...

An Incremental Learning Based Framework for Image Spam Filtering

Nowadays, an image spam is an unsolved problem because of two reasons. One is due to the diversity of spamming tricks. The other reason is due to the evolving nature of image spam. As new spam constantly emerging, filters’ effectiveness drops over time. In this paper, we present an effective anti-spam approach to solve the two problems. First, a novel clustering filter is proposed. By exploring...

A Hybrid Framework for Building an Efficient Incremental Intrusion Detection System

In this paper, a boosting-based incremental hybrid intrusion detection system is introduced. This system combines incremental misuse detection and incremental anomaly detection. We use boosting ensemble of weak classifiers to implement misuse intrusion detection system. It can identify new classes types of intrusions that do not exist in the training dataset for incremental misuse detection. As...