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Visually impaired people are neglected from many modern communication and interaction procedures. Assistive technologies such as text-to-speech and braille displays are the most commonly used means of connecting such visually impaired people with mobile phones and other smart devices. Both these solutions face usability issues, thus this study focused on developing a user friendly wearable solution...
Heart failure (HF) is one of the most common causes of hospitalization for people over 65 years old, and over half of patients who diagnosed with severe HF conditions at first time cannot survive over 5 years. It is also noticed that rehospitalization rate of heart failure patients may increase to 50% in three months and the mortality rate from 33% to 50% within five years if HF patients are not treated...
Long monitoring tasks without regular actions, are becoming increasingly common from aircraft pilots to train conductors as these systems grow more automated. These task contexts are challenging for the human operator because they require inputs at irregular and highly interspaced moments even though these actions are often critical. It has been shown that such conditions lead to divided and distracted...
Humans modify their movement characteristics according to the requirement of the movement accuracy. The relations between the required accuracy and muscle activities were previously determined by varying the size of the targets to be reached in isotonic contraction tasks. However, in isometric contraction tasks, such relations have not been studied yet. In this study, we examined whether there was...
Because of nonlinear and strong coupling features, control system of permanent magnet synchronous motor usually requires high robustness, which can be achieved by fractional-order controller with strong ability against disturbances. A tuning approach based on D-decomposition method and maximum sensitivity is proposed to design fractional-order PIλ controller for permanent magnet synchronous motor...
We explore the use of adaptive control for a hydraulic actuator model in an engine with variable cam timing (VCT) system. The hydraulic actuator is modeled as a Hammer-stein system with an asymmetric, uncertain input nonlinearity followed by known time delay and linear dynamics. We begin the presentation by designing a fixed-gain baseline controller, which consists of a PI controller with high robustness...
The utility to decode hand movement parameters is significant to the control of artificial limb in the BCI fields. Most previous studies have adopted amplitude features of the low-frequency EEG signals to decode hand movement parameters. In this study, we have investigated the instantaneous phase of the low-frequency EEG signals attained by Hilbert transform for such a task for the first time, and...
Motor imagery (Ml)-based brain-computer interface (BCI) allows users to control external devices using the brain signal patterns induced by the imagination of movements. Since these patterns have high variability between subjects and sessions, the BCI system necessarily requires 20–30 minutes for the calibration process each time the system is used. This time-consuming process requires a high level...
Brain waves contain manifold information about ongoing cognitive processes and related body function. This information, such as power changes in certain frequency bands, can be extracted and interpreted by brain-computer interfaces (BCI). For this publication, we re-evaluated data from two subjects with implanted subdural electrodes who participated in a two-class BCI motor imagery experiment with...
In recent times, there has been much interest in quantum enhancements of machine learning, specifically in the context of data mining and analysis. Reinforcement learning, an interactive form of learning, is, in turn, vital in artificial intelligence-type applications. Also in this case, quantum mechanics was shown to be useful, in certain instances. Here, we elucidate these results, and show that...
Monitoring periodic limb movements in sleep (PLMS) is important since it is correlated with people's quality of sleep and several other sleep disorders. The clinically approved method of examining PLMS is polysomnography (PSG) where the sleep of patients are examined in a laboratory with various sensors attached to their body. However, PSG is time-consuming and expensive for patients and the need...
With the advance of mobile technologies, virtual reality (VR) is coming to every corner of our life. The technology presents a major opportunity for retailers as they lure fickle shoppers to visit their virtual stores, particularly since modern consumers have shifted more of their buying habits online. Currently, merchants face the challenge to weed out malicious software from legitimate users to...
In this paper a novel formation control frame-work is presented for unmanned autonomous ground vehicles based on analytical mechanics and multibody interpretation. The coordinated motion is achieved by introducing holonomic constraint functions that describe the interaction between the vehicles. These functions are interpreted as constraint forces and the decentralized control law is determined for...
This paper proposes a gain margin technique based continuous sliding-mode control method for position servo systems of induction motors. A systematic design method for position and current controllers is developed to implement the robust control of induction motors in the field orientation control system. In the proposed controllers design, the boundaries of disturbances and parameter perturbations...
In a System of Systems (SoS), heterogeneous systems cooperate to achieve a higher purpose. Developing an SoS is complex and difficult, in particular interfacing systems coherently to make them interoperable. In this research, we propose a core architecture to simplify the development of SoS. Our approach is based on a model we call MBA: "Memory Broker Agent," consisting of agents for encapsulating...
We herein propose a new collaborative framework, called cooperative co-evolutionary multi-agent system(CCEMAS), for solving multi-objective layout optimization problems. Every agent in CCEMAS is encoded as a multi-objective cooperative co-evolutionary strategy, including an algorithm and its setting. In the iterative procedure, the strategies will evolve along with the evolution of the agent team,...
Numbers of samples in different classes are in nature imbalanced in many machine learning problems. Single classifier-based methods are subject to high variance. Therefore, ensemble-based methods are more suitable for dealing with imbalanced pattern classification problems. In this work, we propose a boosting-based method: BSMBoost which creates an ensemble of classifiers using samples selected by...
Predicting an approval rate of politicians is a popular task. While a type of prediction is using a text mining from news articles, we introduce a text augmented Gaussian process to perform the prediction with contexts. We test our model with 2017 South Korea Presidential Election in 1) a quantitative evaluation, and 2) a qualitative analysis. The performance of the model with text input is better...
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Collaborative filtering is a well-known technique used for designing recommender systems when advertising services and products offered to the Internet users. In this paper, we employ the Restricted Boltzmann Machine (RBM) for collaborative filtering and propose the neighborhood-conditional RBM (N-CRBM) model based on joint distributions of similarity and popularity scores. The model is trained and...
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