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At the 2014 AAAI, Pat Langley, one of the founders of machine learning and, recently, of its detractors, publicly lamented the current abandonment of the "big issues" in AI. Indeed, from emulating human intelligence in the process of learning more about it, AI is often confused with non-intelligent emulation of human intelligent activities. Both in the States and Europe, cognitive computing...
With AI celebrating its 60th anniversary, questions arise of when (not even if) a computational system will be able to understand humor. These questions open up interesting opportunities, but point out areas of research that yet are insufficient for informal human computer communication. This paper looks at computational humor as a way of verifying computational understanding of text (written or verbal)...
The objective of this research is to investigate the use of robots as intermediaries to gather sensitive information from children. The research is multidisciplinary in nature. The goals will be accomplished through the development of an integrated robotic framework that includes a novel architecture and an interactive user interface to gather information using methodologies recommended for forensic...
As robotic systems become increasingly sophisticated, there is strong interest in deploying them in challenging and stressful environments. There are many potential advantages for the use of robotic systems in law enforcement and military operations. Robotic systems can provide the ability to perceive and act at a safe distance. However, achieving the full potential of robotic systems integration...
The main goal of this paper is analyzing the methods of code analysis and proposing the most appropriate methods of sample analysis, executing the process of analyzing the available online and offline analyzing tools and explore ways to prevent hiding malicious pieces of code into the source code. Another aim is to focus on what the obfuscation technique of source code has to offer. Obfuscation can...
Model predictive control (MPC) represents a powerful technique for controlling a system that has an accurate mathematical model for describing its behavior. MPC implies solving an optimization problem (OP) in order to minimize some user defined objective function (OF) subjected to constraints on the characteristic variables. This paper presents a real-time implementation of a nonlinear MPC on a twin...
The development of accurate fault detection and diagnosis (FDD) techniques are an important aspect of monitoring system health, whether it be an industrial machine or human system. In FDD systems where real-time or mobile monitoring is required there is a need to minimise computational overhead whilst maintaining detection and diagnosis accuracy. Symbolic Aggregate Approximation (SAX) is one such...
This paper presents our cloud-based teleoperation platform, called CoWoOZ — ClOud-based Wizard of OZ. It describes similar systems, such as Robot Management System (RMS), OpenWoZ, CoWoOZ's predecessor Telescope and the first version of the discussed platform. A special emphasis is given to the description of new functionalities added to the system, e.g. scenario management, custom script builder,...
The purpose of this paper is to present a Robust Nonlinear Model Predictive Control controller design opportunity and the results of three in silico test scenarios, where a nonlinear glucose model had to be controlled, and a desired blood glucose level had to be maintained. The chosen glucose model was a two compartmental, nonlinear model with time delay whose parameters were burdened with uncertainty...
New design conditions for the Takagi-Sugeno fuzzy model based unknown input observer, is presented in the paper. By the proposed methods, the design problem is parameterized in terms of linear matrix inequalities in relaxed and enhanced structures. Related to the state decoupling and reconstruction in the given class nonlinear systems, the design steps are revealed in the example for attenuation of...
Participatory Computing is the concept of a group of computers contributing processing power and storage to form a larger, distributed computing system. Past experiences show that a system of this type can reach performance rivaling the fastest supercomputers in the world. In theory, any connected modern PC could participate and yet the prevalence of these systems is not comparable to their potential...
The main goal of the present paper is to identify the coefficients of the linear state space representation of a small scale turbojet engine with variable area convergent exhaust nozzle through measurements on a real gas turbine. The thermodynamics based mathematical model has been established previously; the further steps are to conduct measurements on the laboratory equipment at the authors' Department...
Presented paper describes the use of clustering methods in building environment analysis task. The presented approach is based on modeling of the sensor data containing information about humidity and temperature. Such models are then used to describe the level of the comfort of particular environment. K-means clustering algorithm was used to create those models. The paper then presents and describes...
In this work, an offline signature identification system based on Histogram of Oriented Gradients (HOG) vector features is designed. Handwritten signature images are collected at Yildiz Technical University, from 15 people, 40 samples from each. Before the HOG feature extraction, size fixing and noise reduction processes are applied to all signature images. HOG features are extracted from the noiseless...
In this work, we focused on liveness detection for facial recognition system's spoofing via fake face movement. We have developed a pupil direction observing system for anti-spoofing in face recognition systems using a basic hardware equipment. Firstly, eye area is being extracted from real time camera by using Haar-Cascade Classifier with specially trained classifier for eye region detection. Feature...
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