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Representation of cooperating systems in recent products and collecting organized engineering knowledge in organizational intellectual property are currently actual issues on the long way of engineering model integration. Engineering model with those representations inherently includes components from various discipline areas in a single structure and recently uses requirements, functional, logical,...
This paper considers the Korean character detection problem. Unlike English where an alphabet constitutes a character, the Korean character is composed of more than two Korean alphabets, where they could be either connected or separated, relying on the Korean character font. Also, the Korean has two character structures which constitute a nested structure. These properties make the Korean character...
Mammalian whisker follicle contains multiple sensory receptors strategically organized to capture tactile sensory stimuli of different frequencies via the vibrissal system. There have been a number of attempts to develop robotic whiskers to perform texture classification tasks in the recent past. Inspired by the features of biological whisker follicle, in this paper we design and use a novel soft...
The visualization of the Pareto optimal solution set is one of important issues of the decision-making process on the multi-objective optimization problem. The Pareto optimal solution visualization method using the self-organizing maps (SOM) is one of promising visualization methods. This method has two shortcomings in the Pareto optimal solution representation capability. One is that the maps have...
Because of rapid population aging, it is necessary to design and develop senior-friendly or disability-friendly interfaces that can decrease the cognitive workload caused by an interface. At that time, the design implications and evaluation criteria of an interface should be needed for creating senior-friendly and disability-friendly interfaces. One of the elements that relate to memory functions...
Fuzzy Cognitive Maps have been widely used for modeling complex systems but time and evolution of the system has not sufficiently been illustrated and taken into consideration within the FCM model. Time is a substantial aspect for any application because factors determining the behavior of the system evolve over time; they affect and change the route of any evolution of the system. This work further...
Fuzzy cognitive maps (FCM) are often represented and implemented using matrix-vector multiplication (MxV). Since the multiplication operation is critical to the performance of the FCM computations, it is important to secure its efficient implementation. Considering the connection matrix used to represent the FCM is often static and since it often contains only several nonzero elements, it is viable...
While we recognize additional studies are needed to confirm repeatability and reliability in detecting normative and pathologic values, our methodology is an important step in demonstrating quantifiable measurements of the visual system as an indirect measurement of brain function.
We report on the second design cycle of Acropolis, a social computing platform that allows citizens to build and share their own narratives about long-running news stories. A key goal of this research project is to explore the following design opportunity: how can we re-design news stories in order to engage citizens in their reading and curation? In this paper, we describe an asymmetric collaboration...
Solar activity has various influences on the global environment. Specifically, it may have serious impacts on the Earth such as satellite damage, etc. and power plant failures causing more serious disaster. For a precise forecast of larger scale solar flares causing serious disaster, it is important to improve the space weather forecast, a daily forecast of the solar flare. In our work so far, a machine-learning...
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 Society. It provides an international forum for researchers and participants to report up-to-the-minute innovation and development, summarize state-of-the-art,...
Reading online can be difficult due to the distractions of digital environments. In this paper we present a user study in which participants' eye gaze was recorded as they read text in a visually distracting environment. We explore two distraction mitigation signals using real-time eye gaze data to investigate whether the effects help reduce distraction rate as well as aid recovery from distractions...
Social cognition is the study of how people interact with each other in a social situation. An effective interaction would require higher degree of cognitive involvement between the participants and consequently, an enhanced synchrony between their neural mechanisms. In this study, twelve pairs of subjects interacted with each other via a cognitively engaging experimental paradigm in which they either...
The stability analysis and control design problem of Takagi-Sugeno (T-S) fuzzy time-delay systems under mismached premise membership functions are investigated in this paper. A membership function dependent stability criterion is derived first based on Lyapunov stability analysis method. As the information of the membership functions is included in the derived criterion, it is less conservtive than...
This paper proposes a receding horizon optimization framework (RHC) for finding an approximate solution to different constrained multi-vehicle coverage problems. The optimization is based on the algorithm we have already developed for unconstrained multi-vehicle coverage problem, which inherently possessed some nice properties for dealing with unconstrained coverage problem setups. Although it was...
Collaborative filtering methods suffer from a data sparsity problem, which indicates that the accuracy of recommendation decreases when the user-item matrix used in recommendation is sparse. To alleviate the data sparsity problem, researches on data imputation have been done. In particular, the zero-injection method, which finds uninteresting items and imputes zero values to those items for collaborative...
Although Mental Imagery based Brain-Computer Interfaces (MI-BCIs) seem to be very promising for many applications, they are still rarely used outside laboratories. This is partly due to suboptimal training protocols, which provide little help to users learning how to control the system. Indeed, they do not take into account recommendations from instructional design. However, it has been shown that...
In unmanned construction, work efficiency is lower than that in manned construction due to lack of visual information. Thus, we previously developed an autonomous camera control system to provide various visual information suited to work states through multiple displays. However, that system increased the cognitive load on operators, and required them to have much experience to choose appropriate...
We explored the problems which are soon to be faced while parking autonomous cars in parking lots. Like where is the closest parking slot available to the autonomous car? How to navigate to that location? What kind of parking structures could be good for autonomous cars? We also provide an initial solution which uses a central server and the graph of the parking lot to guide the cars to the closest...
Space-filling curves (SFCs) are straightforward and efficient methods for a sparse space clustering. They are utilized in research areas like classification, computer vision, computer graphics and/or machine learning. Most of the SFCs are based on a regular orthogonal grid. Generally, a hierarchical properties of Quad-trees (2D) or Octrees (n-dimensional) are utilized for a vertex hashing. However,...
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