ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training.

Negative flips are errors introduced in a classification system when a legacy model is updated. Existing methods to reduce the negative flip rate (NFR) either do so at the expense of overall accuracy by forcing a new model to imitate the old models, or use ensembles, which multiply inference cost prohibitively. We analyze the role of ensembles in reducing NFR and observe that they remove negative flips that are typically not close to the decision boundary, but often exhibit large deviations in the distance among their logits.

Person Re-Identification With Deep Kronecker-Product Matching and Group-Shuffling Random Walk.

Person re-identification (re-ID) aims to robustly measure visual affinities between person images. It has wide applications in intelligent surveillance by associating same persons' images across multiple cameras. It is generally treated as an image retrieval problem: given a probe person image, the affinities between the probe image and gallery images (P2G affinities) are used to rank the retrieved gallery images.

Non-linearity of Skin Properties in Electrotactile Applications: Identification and Mitigation.

Electrotactile displays can open a new sensory substitution channel to be utilized in a vast array of applications. Our research used this approach to build a system for the blind to easily read any text not written in Braille. But there are still challenges in different aspects of such systems.

Light at night disrupts nocturnal rest and elevates glucocorticoids at cool color temperatures.

Nighttime light pollution is quickly becoming a pervasive, global concern. Since the invention and proliferation of light-emitting diodes (LED), it has become common for consumers to select from a range of color temperatures of light with varying spectra. Yet, the biological impacts of these different spectra on organisms remain unclear.

Improving low-cost inertial-measurement-unit (IMU)-based motion tracking accuracy for a biomorphic hyper-redundant snake robot.

This paper develops and experimentally validates a 3D-printed snake robot prototype. Its structure is designed to allocate limited room for each functional module (including an external power module, battery power module, the wireless control and transmission module and some detective sensors), so as to ensure the snake robot works in different environments. In order to control and track the snake robot, a low-cost MEMS-IMU (micro-electro-mechanical systems inertial measurement unit)-based snake robot motion tracking system is developed.

PSD microscopy: a new technique for adaptive local scanning of microscale objects.

A position-sensitive detector/device (PSD) is a sensor that is capable of tracking the location of a laser beam on its surface. PSDs are used in many scientific instruments and technical applications including but not limited to atomic force microscopy, human eye movement monitoring, mirrors or machine tool alignment, vibration analysis, beam position control and so on. This work intends to propose a new application using the PSD.

Dynamically characterizing bioimpedance of fingertip skin through a developed CVD based electrotactile rendering system.

In this paper, by combining a newly developed constant-voltage-driver (CVD) based electrotactile rendering system with an on-line identification method, parameters of the resistor-capacitor (R-C) load bioimpedance model of fingertip skin are dynamically characterized and analyzed. The CVD rendering system is capable of producing varying stimulation voltage/current waveforms to fingertip. The proposed on-line identification method is a discrete-time extended least squares (ELS) iterative approach with forgetting factor (FF), which serves as an adaptive law to estimate parameters of the bioimpedance model of fingertip skin during performing the stimulation current tracking control in z-domain.

Electro-tactile preference identification using fuzzy logic.

Electro-tactile based rehabilitation systems must be capable of self-tuning to suit the tactile preference of different users. However, tactile preference is difficult to assess in practice. We propose a Takagi-Sugeno-Kang (TSK) fuzzy logic modeling and control approach for the on-line assessment of tactile preference.

Quantitative mechanical evaluation and analysis of Drosophila embryos through the stages of embryogenesis.

The fruit fly Drosophila embryo is one of the most important model organisms in genetics and developmental biology research. To better understand the biomechanical properties involved in Drosophila embryo research, this work presents a mechanical characterization of living Drosophila embryos through the stages of embryogenesis. Measurements of the mechanical forces of Drosophila embryos are implemented using a novel, in situ, and minimally invasive force sensing tool with a resolution in the range of microN.