Academic Articles & Research Papers

Development of an Autonomous Quadruped Robot for Robot Entertainment

Disaster Robotics

A comprehensive, authoritative, and accessible reference for disaster robotics that covers theory, specific deployments, and ground, air, and marine modalities. This book offers the definitive guide to the theory and practice of disaster ro...

Virtual Reality-Based Center of Mass-Assisted Personalized Balance Training System

Poststroke hemiplegic patients often show altered weight distribution with balance disorders, increasing their risk of fall. Conventional balance training, though powerful, suffers from scarcity of trained therapists, frequent visits to cli...

Piton: Investigating the Controllability of a Wearable Telexistence Robot

The COVID-19 pandemic impacted collaborative activities, travel, and physical contact, increasing the demand for real-time interactions with remote environments. However, the existing remote communication solutions provide limited interacti...

Interplay Between Vertical and Horizontal Schemes of Computation: From Bayesian Inference to Quantum Logic via Gluing Boolean Algebras

Artificial intelligence is typically formulated as an information-processing system composed of artificial neurons, where computation is understood as recursive operations connecting inputs and outputs. However, real neural systems are mate...

From Nano Robotic Manipulation to Nano Manipulation Robot

ABSTRACT The evolution from passive nanoscale observation to active robotic manipulation represents a paradigm shift in humanity's quest to master matter at the atomic scale. This review systematically traces the historical and conceptual f...

Advances in materials informatics for tailoring thermal radiation: A perspective review

Materials informatics has emerged as a powerful tool for the discovery, design, and optimization of materials with tailored thermal radiative properties. This perspective review highlights the recent advances in optimization algorithms, inc...

Approaching the Quantum Limit in Axion Detection at IBS-CAPP and IBS-DMAG

We present the development of two complementary amplifier architectures for axion haloscope experiments, based on two types of Josephson Parametric Amplifiers (JPAs). The first employs a multi-chip module of flux-driven JPAs in a parallel–s...

Color‐Filter‐Free Image Sensor Using CsPbBr3 Quantum‐Dot‐Based Tamm Plasmon Photodetector for Photonic Synapse Facial Recognition

Abstract This study demonstrates that optical absorption of the CsPbBr3 quantum dots can be significantly enhanced through monolithic integration with the Tamm plasmon (TP) structure. This integration enables the resulting TP photodetector ...

Quantum-Enhanced Algorithmic Fairness and the Advancement of AI Integrity and Responsibility

In the evolving digital landscape, the pervasive influence of artificial intelligence (AI) on social media platforms reveals a compelling paradox: the capability to provide personalized experiences juxtaposed with inherent biases reminiscen...

Efficient thermal dissipation in wafer-scale heterogeneous integration of single-crystalline β-Ga2O3 thin film on SiC

The semiconductor, β-Ga2O3 is attractive for applications in high power electronic devices with low conduction loss due to its ultra-wide bandgap (∼4.9 eV) and large Baliga's figure of merit. However, the thermal conductivity of β-Ga2O3 is ...

High-performance conditional-driving gate for Kerr parametric oscillator qubits

Kerr parametric oscillators (KPOs), two-photon driven Kerr-nonlinear resonators, can stably hold coherent states with opposite-sign amplitudes and are promising devices for quantum computing. Recently, we have theoretically proposed a two-q...

Quantum Communication Complexity of Regularized Linear Regression Protocols

Linear regression is fundamental to statistical analysis and machine learning, but its application to large-scale datasets necessitates distributed computing. The problem also arises in quantum computing, where handling extensive data requi...

Efficient GPU Implementation of the McMurchie–Davidson Method for Shell-Based ERI Computations

Quantum chemistry offers the formal machinery to derive molecular and physical properties arising from (sub)atomic interactions. However, as molecules of practical interest are largely polyatomic, contemporary approximation schemes such as ...

Quantum Computing: An Introduction for Microwave Engineers

During the past decade, quantum computing has grown from a field known mostly for generating scientific papers to one that is poised to reshape computing as we know it [1]. Major industrial research efforts in quantum computing are currentl...

Failure detectors for large-scale distributed systems

This paper discusses the problem of implementing a scalable failure detection service for grid systems. More specifically, traditional implementations of failure detectors are often tuned for running over local networks and fail to address ...

Cybersecurity

Cybersecurity

Cybersecurity has evolved over the years to become a critical component for businesses and individuals alike. As malicious actors have grown in numbers and continued to change their tactics, techniques, and procedures (TTPs), the cybersecur...

Forecast combining with neural networks

This paper investigates the use of Artificial Neural Networks (ANNs) to combine time series forecasts of stock market volatility from the USA, Canada, Japan and the UK. We demonstrate that combining with nonlinear ANNs generally produces fo...

Introducing neural networks

A background to the history of neural networks is provided in this book, in a way accessible to readers without a formal knowledge of computer science or advanced biology. It describes the major learning algorithms, the constraints of neuro...