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Individuals with Down syndrome should be adapted to society. As there are various projects to achieve this goal, one of them is establishing cafes where all waiters/waitresses are individuals with syndrome. The Down Cafe is the one of these cafes that is located in Istanbul, Turkey. In such cafes, some of the tasks are quite hard to be performed by individuals with Down syndrome, such as taking orders...
The purpose of this paper is to present a multicriteria methodology with spatial visualization, in order to identify most vulnerable areas regarding violence. We used Dominance-based Rough Set Approach to aggregate social, economic, and demographic characteristics, as well to include the preferences of a decision maker. Among the multicriteria methods, this one has the advantage of do not require...
We propose a prediction method for lane changes in other vehicles. According to previous research, over 90 % of car crashes are caused by human mistakes, and lane changes are the main factor. Therefore, if an intelligent system can predict a lane change and alarm a driver before another vehicle crosses the center line, this can contribute to reducing the accident rate. The main contribution of this...
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 method that will allow the visually impaired to quickly and accurately understand two-dimensional information such as charts and graphs shown on a tactile...
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 presents a new form of graph contraction referred to as the “hub contraction,” in which the node with the maximum degree is selected as the central node,...
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 traditional probability theory is restricted by strong prior assumptions which are often impractical and do not hold in real problems. Machine learning...
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., the binary actuator lengths. In this paper, a novel parameter design method for the binary manipulators is proposed. In this method, two different...
Weber's law has been widely used by researchers for perceptual analysis in data reduction algorithms proposed for haptic applications. The law in its basic definition suggests a constant coefficient к or Just Noticeable Difference (JND). This constant is the percentage of actual stimulus around which the human sensory system cannot notice a change. Moreover, research studies have been conducted to...
With the rapid development of uncertain and large-scale datasets, Fuzzy Possibilistic C-means Clustering (FPCM) and Granular Computing (GrC) were introduced together with the aim to solve the feature selection and outlier detection problems. Utilizing the advantages of the FPCM and GrC, an Advanced Fuzzy Possibilistic C-means Clustering based on Granular Computing (GrFPCM) was proposed to select features...
Human-computer dialogs are an important vehicle through which to produce a rich and compelling form of human-computer interaction. We view the specification of a human-computer dialog as a set of sequences of progressive interactions between a user and a computer system, and mine partially ordered sets, which correspond to mixing dialog initiative, embedded in these sets of sequences—a process we...
Meal assistance robots provide disabled individuals the access to one of the important activities in daily living, self-feeding. This paper proposes a Steady State Visually Evoked Potential (SSVEP) based Brain Machine Interface (BMI) for controlling of a meal assistance robot. In the proposed system, the user has the facility to select any solid food item that he would like to eat from 3 different...
This paper presents a new approach to C-space exploration and optimal path planning for robotic manipulators and planar scenarios using the structure named bur of free C-space. This structure builds upon the so-called bubble, which is a local volume of free C-space, easily computed using the distance information in the workspace. It is previously shown how burs can be used to form a rapidly exploring...
Particle Swarm Optimization (PSO) deteriorates when facing a high-noise environment. To address this issue, one popular mechanism is the resampling method that is based on re-evaluations to find the true fitness value. However, the budget for re-evaluations in PSO is limited. In this paper, we intend to integrate a Stochastic Point Location (SPL) method into PSO to alleviate the impacts of noise on...
Non-invasive brain-computer interfaces (BCI) aim to assist severely motor impaired persons in their daily life routine, however only a few BCIs have made it out of the laboratory. To foster further development, the Cybathlon, an international multi-discipline tournament, has been founded. One of the disciplines is the BCI-Race, where end users control avatars in a virtual race game by their thoughts...
Space and time are crucial characteristics of the physical objects. Considering only the spatial dimension will lead to an ambiguity when objects are mapped from the physical world to cyber world, therefore the temporal and logical dimensions also should be addressed in the mapping process. In this context we propose STLF, a spatial-temporal-logical framework that observe the relations that holds...
One important aim in tire industry when finalizing a tire design is the modeling of the noise characteristics as received by the passengers of the car. In previous works, the problem was studied using heuristic algorithms to minimize the noise by looking for a sequence under constraints. These constraints are imposed by tire industry. We present a new technique to compute the noise. We also propose...
A novel stabilization problem for T-S polynomial fuzzy system with time-delay is investigated in this paper. Firstly, a polynomial fuzzy controller for T-S polynomial fuzzy system with time-delay is proposed. In addition, based on polynomial Lyapunov-Krasovskii function and the developed polynomial slack variable matrices, a novel stabilization condition for T-S polynomial fuzzy system with time-delay...
Automatic prediction of photo aesthetic quality is useful for many practical purposes. Current computational approaches typically solved this problem by assigning a categorical label (good or bad) to a photo. However, due to the subjectivity and complexity of humans aesthetic judgments, only a categorical label is insufficient to represent humans perceived aesthetic quality of a photo. This paper...
The paper discusses how the Tensor Product structure is useful to simplify kinetic models of biological networks and provides basic mathematical tools one can start the kinetic model with. The applied method known as joint HOSVD-CPD decomposition is helpful to identify latent parameters, this work is utilizing it to determine the role of different parameters in a biochemical reaction. A case study...
A Human Action recognition system is proposed using the Skeletal Tracking from Kinect. The angular information of the joints helps in handling scaling errors. Vectors are generated using the joint coordinates and the angles of each joint are used as features for key pose recognition. A rotational compensation is included in the feature to handle rotational errors. The key poses are recognized using...
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