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Oct 07, 2018
Applied Physics
Optics

Fractional Fresnel coefficients for optical absorption in femtosecond…

The surface morphology of metal influences its optical absorptivity. Recent experiments have demonstrated that the femtosecond laser induced surface …
Feb 11, 2014

Coincidence Landscapes for Three-Channel Linear Optical Networks

We use permutation-group methods plus SU(3) group-theoretic methods to determine the action of a three-channel passive optical interferometer on cont…
Apr 25, 2017
By vaidya
Mathematical Finance
Machine Learning
Multiagent Systems

Learning Agents in Black-Scholes Financial Markets: Consensus Dynamic…

Black-Scholes (BS) is the standard mathematical model for option pricing in financial markets. Option prices are calculated using an analytical formu…
Jul 20, 2018
Cryptography and Security

SCARR: A Novel Scalable Runtime Remote Attestation

Runtime remote attestation is a technique that allows to validate the correct execution of a program on a remote device. This is a mechanism that pro…
May 02, 2017

Minimal physical resources for the realisation of measurement-based …

In measurement-based quantum computation (MBQC), a special highly-entangled state (called a resource state) allows for universal quantum computation …
Mar 08, 2017
By zhang
Databases

Scaling Distributed Transaction Processing and Recovery based on De…

DGCC protocol has been shown to achieve good performance on multi-core in-memory system. However, distributed transactions complicate the dependency …
Feb 23, 2016
Distributed
Parallel
and Cluster Computing
Machine Learning
Neural and Evolutionary Computation

Mobile Big Data Analytics Using Deep Learning and Apache Spark

The proliferation of mobile devices, such as smartphones and Internet of Things (IoT) gadgets, results in the recent mobile big data (MBD) era. Colle…
Jun 27, 2018
Computer Vision

Feature-less Stitching of Cylindrical Tunnel

Traditional image stitching algorithms use transforms such as homography to combine different views of a scene. They usually work well when the scene…
May 14, 2019
By idc
Signal Processing

A Survey of Data Fusion in Smart City Applications

The advancement of various research sectors such as Internet of Things (IoT), Machine Learning, Data Mining, Big Data, and Communication Technology h…
Apr 22, 2019
By huang
Computer Vision
Machine Learning

Deep Anchored Convolutional Neural Networks

Convolutional Neural Networks (CNNs) have been proven to be extremely successful at solving computer vision tasks. State-of-the-art methods favor suc…
Jun 26, 2018
Signal Processing

Performance Analysis for Multi-layer Unmanned Aerial Vehicle Networks

In this paper, we provide the model of the multilayer aerial network (MAN), composed unmanned aerial vehicles (UAVs) that distributed in Poisson poin…
Mar 20, 2018
Signal Processing
Computer Science and Game Theory
Systems and Control

Transforming Energy Networks via Peer to Peer Energy Trading: Potenti…

Peer-to-peer (P2P) energy trading has emerged as a next-generation energy management mechanism for the smart grid that enables each prosumer of the n…
May 08, 2019
Machine Learning
Statistics Theory

In this Section, we will present the projected gradient descent algorithms we use for our logistic and linear regression settings. We will use the following well known property of Projected Gradient Descent (Theorem 3.10 from [6]).

Regression from Dependent Observations

The standard linear and logistic regression models assume that the response variables are independent, but share the same linear relationship to thei…
Apr 30, 2019
By zhong
Information Theory

Design of Protograph Codes for Additive White Symmetric Alpha-Stable …

The protograph low-density parity-check (LDPC) codes possess many attractive properties, such as the low encoding/decoding complexity and better erro…
Jun 27, 2017
By ygyao
Materials Science

Two-dimensional Spin-Orbit Dirac Point in Monolayer HfGeTe

Dirac points in two-dimensional (2D) materials have been a fascinating subject of research, with graphene as the most prominent example. However, the…
Oct 05, 2018
By sporia
Computation and Language

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in C…

Emotion recognition in conversations is a challenging task that has recently gained popularity due to its potential applications. Until now, however,…
Feb 10, 2017
Networking and Internet Architecture

Exploiting QoS Flexibility for Smart Grid and IoT Applications Using …

In this paper, we consider the utilization of TV White Spaces (TVWS) by small Cognitive Radio (CR) wireless network operators (SCWNO) to support the …
Mar 07, 2013
Information Theory

Relay Selection for Simultaneous Information Transmission and Wireles…

In certain applications, relay terminals can be employed to simultaneously deliver information and energy to a designated receiver and a radio freque…
Apr 22, 2013
Emerging Technologies
Information Theory
Networking and Internet Architecture

An Efficient MAC Protocol with Selective Grouping and Cooperative S…

In cognitive radio networks, spectrum sensing is a crucial technique to discover spectrum opportunities for the Secondary Users (SUs). The quality of…
Apr 04, 2016
Networking and Internet Architecture

Rate-distortion Balanced Data Compression for Wireless Sensor Networks

This paper presents a data compression algorithm with error bound guarantee for wireless sensor networks (WSNs) using compressing neural networks. Th…
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