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It is a great pleasure and honor to greet you to the annual conference, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016) at Budapest, Hungary. SMC 2016 is the flagship conference of the IEEE Systems, Man, and Cybernetics ...

Understanding video-based activities have remained the challenge regardless of efforts from the image processing and artificial intelligence community. However, the rapid developing of computer vision in 3D area has brought an opportunity for the human ...

In this paper, a novel empirical data analysis approach (abbreviated as EDA) is introduced which is entirely data-driven and free from restricting assumptions and pre-defined problem- or user-specific parameters and thresholds. It is well known that the ...

This paper proposes a two-step based real-time voice adaptation system in the field of speech processing. Step one combines recording and pre-processing to construct a voice profile. Secondly is the real-time raw input of the voice's adaptation to a ...

Finding the connected components of an undirected network is a fundamental computational problem at the heart of many network applications and has been applied in many fields, such as communication network robustness and computer vision. This paper ...

Dichromats (a human with red-green color blindness considered in this paper) cannot always perceive meaningful visual information due to their deficiencies in eye cells. Stroke information extraction from a color-blindness image (CBI) is presented in ...

A power converter supplying kilo-watt-power from its output side is developed in this paper. The composition of its power-stage includes an AC-DC converter and a DC-DC converter. The topology used by the DC-DC converter is the phase-shifted full-bridge ...

For many industrial production processes obeying certain statistical laws, a new method of establishing a SISO control model is put forward based on pattern recognition technology. Firstly, k-means clustering algorithm is used to partition input and ...

The PDE model of the commodities price dynamics is shown to be equivalent to a multi-asset Black-Scholes PDE. Actually it is a diffusion process evolving in a 2D assets space, where the first asset is the commodity's spot price and the second asset is the ...

Attributing to the existence of natural disasters, man-made destruction and natural aging, structural damage and functional degradation of regional infrastructure are of frequent occurrence. Thus, in this paper, the theory and methods of system science ...

In this study, a two-dimensional truss binary manipulator is considered as a controlled plant. The reachable points of the binary manipulator form a discrete set of points, and their distribution depends on the parameters of each binary actuator, e.g., ...

This paper presents a framework for morphological processing of graph signals and investigates its usage for colored images and meshes editing tasks. The proposed method enables, with the help of the construction of a manifold-based ordering of color ...

In the case that the conclusion of a comparison between the maximum components &#x03B4;<inf>i</inf>^k and &#x03B4;<inf>j</inf>^k of decision coefficient vector &#x03B4;<inf>i</inf> and &#x03B4;<inf>j</inf> conflicts with that of a full ...

A feature-preserving mesh denoising filter is proposed in the paper for 3-D printers. The whole algorithm contains two steps: non-iterative normal filtering and iterative vertex updating. The basic idea of normal filtering is to minimize the angles ...

This paper measures the heat energy consumption in a typical Canadian house taking into account a commonly used forced air gas furnace. The aim of this work is to measure and analyze the possible energy savings for homes if zonal heat control system is ...

Multi-robot coalition formation (MRCF) problem deals with the formation of subsets of robotic to handle a particular task. In such a system, every task is executed by multiple robots. Thus, cooperation and coordination among the robots is very important. ...

Designing functional observers for time-delay systems is an important practical research topic. However, the performance regulation of those observers and their robustness against the delays upper-bounds, have been fairly overlooked. In this brief, the ...

Model Predictive Control (MPC) is an effective control method for nonlinear control systems including quantized control systems; however, the optimization process requires huge computation for such cases and is therefore hard to realize. In this study, a ...

The major challenge in the design of Interval type-2 fuzzy logic system (IT2FLS) is to determine the optimal parameters for their antecedent and consequent parts. The most frequently used objective function for the design of IT2FLSs is root mean squared ...

This paper is concerned with pth moment exponential stability of stochastic delayed neural networks. By using the Lyapunov function method, some stability criteria of impulsive stochastic delayed systems are obtained, and these results are applied to the ...

This paper focuses on account stolen case of smart phone users. In order to enhance the credibility of user authentication, an authentication method based on virtual keystroke dynamics behavior of touch screen is proposed in this paper. The proposed ...

With the arrival of the age of integrated education, there is a need to develop a method to automatically transmit necessary two-dimensional information in real time to students with visual impairments. Therefore, this essay proposes a graphic display ...

The control and monitoring of the UAV missions is a challenge in terms of operator workload. Two relevant issues are the situational awareness and the decision support of operators. This paper proposes a system that is able to analyze the telemetry of UAV ...

Due to forgetfulness, people with dementia need assistive technologies for managing medications. In this paper we present a Kinect-based smart system for unobtrusive medication adherence monitoring of people with memory-degrading conditions. Unlike ...

The Intelligent Investigation Mechanism (IIM) based on Fuzzy Markup Language (FML) and genetic learning ability for social media application is presented in this paper. We take the social media contents of presidential election domain on Facebook as an ...

Currently, existing continuous identity verification methods mostly need to analyze a lot of keystroke data to ensure the authentication credibility. To achieve certification results with less data, in the paper, a new continuous verification method is ...

Existing researches on user mouse authentication mostly focus on fixed tracks, which leads to the lack of practicability. This paper is not restricted to fixed tracks and models the non-fixed mouse behavior pattern. By simulating scenarios of dynamic soft ...

Changing industrial, social, and legal situations cause a rethinking of novel production systems. One possible approach is to assist the human workers' power. By application of collaborating robots, weaknesses can be compensated by the strengths of the ...

The Cole impedance model is widely used in applications involving the electrical impedance of biological tissues. Typically requiring post-processing to determine its four parameters from electrical impedance measurements. Here, a nonlinear least squares ...

This paper introduces a new approach to Data Clustering on interval-valued data. Nowadays dissimilarity measures for interval-valued data uses representative point distance. It was defined the Range City Block metric. Interval-valued input distance matrix ...