Recent research has shown that learning technology combining adaptive and perceptual learning (PL) methods can improve pattern recognition, transfer, and fluency in complex learning domains (e.g., Mettler & Kellman, 2014). Both classic research and recent work suggest the benefit of paired comparisons in PL, but no previous work has used adaptive techniques to trigger comparisons. We asked whet...

The purpose of this paper is to marry the two concepts of multiple model adaptive control and safe adaptive control. In its simplest form, multiple model adaptive control involves a supervisor switching among one of a "nite number of controllers as more is learnt about the plant, until one of the controllers is "nally selected and remains unchanged. Safe adaptive control is concerned with ensur...

Oblivious Transfer (OT) is a fundamental cryptographic protocol that finds a number of applications, in particular, as an essential building block for two-party and multi-party computation. We construct a round-optimal (2 rounds) universally composable (UC) protocol for oblivious transfer secure against active adaptive adversaries from any OW-CPA secure public-key encryption scheme with certain...

In this work, we study the intrinsic complexity of black-box Universally Composable (UC) secure computation based on general assumptions. We present a thorough study in various corruption modelings while focusing on achieving security in the common reference string (CRS) model. Our results involve the following: • Static UC secure computation. Designing the first static UC secure oblivious tran...

The question of whether working memory training leads to generalized improvements in untrained cognitive abilities is a longstanding and heatedly debated one. Previous research provides mostly ambiguous evidence regarding the presence or absence of transfer effects in older adults. Thus, to draw decisive conclusions regarding the effectiveness of working memory training interventions, methodolo...

This paper presents an optimal contrast enhancement approach for remote sensing images based on dominant brightness level analysis and adaptive intensity transformation for remote sensing images. The proposed system first perform discrete wavelet transform (DWT) on the input images and then split the LL sub band into low-, middle-, and high-intensity layers using the logaverage luminance. The k...

Received Sep 21, 2017 Revised Dec 30, 2017 Accepted Jan 17, 2018 This paper explains an adaptive method for estimation of unknown parameters of transfer function model of any system for finding the parameters. The transfer function of the model with unknown model parameters is considered as the adaptive model whose values are adapted with the experimental data. The minimization of error between...

Wireless sensor devices are deployed to build the Internet of Things (IoT) based applications. Sensor devices are grouped to form Wireless Sensor Networks (WSN). Sensor energy charging is carried out with the battery replacement process. The Radio Frequency (RF) energy transfer techniques are adapted to build Wireless Powered Sensor Networks (WPSN). Electromagnetic Waves are used as a medium to...

Wireless energy transfer is a broad research area that has recently become applicable to implantable medical devices. Wireless powering of and communication with implanted devices is possible through wireless transcutaneous energy transfer. However, designing wireless transcutaneous systems is complicated due to the variability of the environment. The focus of this review is on strategies to se...

The paper presents a study upon the possibility to use adaptive-network-based fuzzy inference method (ANFIS) in the identification of distributed parameter systems, implementing a distributed sensor network in the system. Some main properties of different identification methods are presented with possible application. The fuzzy systems, implemented using rule bases, fuzzy values, membership fun...