Neuromorphic electronics draw attention as innovative approaches that facilitate hardware implementation of next-generation artificial intelligent system including neuromorphic in-memory computing, sensory perception, and humanoid robotics. Among the various devices, optoelectronic synapses are promising devices use optical means to mimic synaptic plasticity related functions. Compared with cla...

Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial settings and the large number of distance computations that it can require to converge, the K-means algorithm remains as one of the most popular clustering methods for massive data...

This paper presents a novel approach for individual design perception modeling using the YUKI algorithm-trained Fuzzy Inference System. The study focuses on understanding how individuals perceive based personality traits, particularly openness to experience, algorithm and C-means clustering algorithm. generates several Sugeno-type System models predict perception, minimize Root Mean Squared Err...

objectives: conducting field tests of a vibrotactile aid for deaf/deafblind persons for detection, identification and directional perception of environmental sounds. methods: five deaf (3f/2m, 22–36 years) individuals tested the aid separately in a home environment (kitchen) and in a traffic environment. their eyes were blindfolded and they wore a headband and holding a vibrator for sound ident...

The k-means++ algorithm is the state of the art algorithm to solve k-Means clustering problems as the computed clusterings are O(log k) competitive in expectation. However, its seeding step requires k inherently sequential passes through the full data set making it hard to scale to massive data sets. The standard remedy is to use the k-means‖ algorithm which reduces the number of sequential rou...

Existing instruments for measuring risk perception have focused on an abstract version of the concept, without diving into the the details of what forms the perception of likelihood and impact. However, as information security risks become increasingly complex and difficult for users to understand, this approach may be less feasible. The average user may be able to imagine the worst case scenar...

OBJECTIVE To describe and compare maternal perception and the self-perception of children/adolescents of their nutritional status, identifying factors associated with incorrect perceptions. METHODS Cross-sectional study carried out in Salvador, BA, Brazil with 1,741 students aged 6 to 19 years, classified according to body mass index (BMI) percentiles as underweight (BMI < p5), well-nourished...

Upright perception is a key aspect of orientation constancy, as we maintain a stable perception of the world despite continuous movements of our eyes, head, and body. Torsional position of the eyes can impact perception of upright by changing orientation of the images on the retina relative to gravity. Here, we investigated the role of temporoparietal cortex in upright perception with respect t...

Myles Burnyeat has argued that in De Anima II.5 Aristotle marks out a refined kind of alteration which is to be distinguished from ordinary alteration, change of quality as defined in Physics III.1-3. Aristotle’s aim, he says, is to make it clear that perception is an alteration of this refined sort and not an ordinary alteration. Thus, it both supports his own interpretation of Aristotle’s vie...

Transparency perception often occurs when objects within the visual scene partially occlude each other or move at the same time, at different velocities across the same spatial region. Although transparent motion perception has been extensively studied, we still do not understand how the distribution of velocities within a visual scene contribute to transparent perception. Here we use a novel p...