There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

Data Mining Practical Machine Learning Tools and Techniques

“Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告

The author systematically examines one of the important issues of information — establishing the market price. He introduces the concept of «search» — where a buyer wanting to get a better price, is forced to question sellers. The article deals with various aspects of finding the necessary information.

Economics of Information

In this paper, we propose a simple anaglyph 3D stereo generation algorithm from 2D video sequence with a monocular camera. In our novel approach, we employ camera pose estimation method to directly generate stereoscopic 3D from 2D video without building depth map explicitly. Our cost-effective method is suitable for arbitrary real-world video sequence and produces smooth results. We use image stitching based on plane correspondence using fundamental matrix. To this end, we also demonstrate that correspondence plane image stitching based on Homography matrix only cannot generate a better result. Furthermore, we utilize the structure-from-motion (with fundamental matrix) based reconstructed camera pose model to accomplish visual anaglyph 3D illusion. The anaglyph result is visualized by a contour based yellow-blue 3D color code. The proposed approach demonstrates a very good performance for most of the video sequences in the user study.

An anaglyph 2D-3D stereoscopic video visualization approach

Recent years, remarkable progress was made with 5G and mobile consumer devices. The 5G network as a technology inherently brings aspects such as high-speed, ultralow latency, and high bandwidth—all in a wireless communication network. 5G will especially help establish the Internet of Things as an indispensable part of our world, by laying the foundation for unleashing its full potential. It is a long way to when 5G becomes mainstream, but businesses need to start now with developing and reimagining services and products to leverage 5G's superior capabilities. Moreover, modern mobile devices, such as smartphones and tablet computers, offer multicore processors and graphics processing cores which open up new application possibilities such as augmented reality (AR) and virtual reality (VR). AR is a key technology that will facilitate a major paradigm shift in the way users interact with data and has only just recently been recognized as a viable solution for solving many critical needs. Enter AR technology, which can be used to visualize data from hundreds of sensors simultaneously, overlaying relevant and actionable information over your environment through a headset. 5G makes AR technology much faster, with much more data flow. With easier and more accessible use, for a variety of different functions (besides video gaming), widespread adoption seems likely. In summary, AR in the era of 5G is a really cool upcoming wave where the vast repositories of data will enable an AR lens into the scenarios in ways that provide near immediate insight at a level of depth unimaginable previously.

5G for mobile augmented reality

Augmented Reality is a key technology that will facilitate a major paradigm shift in the way users interact with data and has only just recently been recognized as a viable solution for solving many critical needs [...]

Special Issue on “Augmented Reality, Virtual Reality & Semantic 3D Reconstruction”

Respiration rate is an important healthcare indicator, and it has become a popular research topic in remote healthcare applications with Internet of Things. Existing respiration monitoring systems have limitations in terms of convenience, comfort, and privacy, etc. This paper presents a contactless and real-time respiration monitoring system, the so-called Wi-Breath, based on off-the-shelf WiFi devices. The system monitors respiration with both the amplitude and phase difference of the WiFi channel state information (CSI), which is sensitive to human body micro movement. The phase information of the CSI signal is considered and both the amplitude and phase difference are used. For better respiration detection accuracy, a signal selection method is proposed to select an appropriate signal from the amplitude and phase difference based on a support vector machine (SVM) algorithm. Experimental results demonstrate that the Wi-Breath achieves an accuracy of 91.2% for respiration detection, and has a 17.0% reduction in average error in comparison with state-of-the-art counterparts.

Wi-Breath: A WiFi-Based Contactless and Real-Time Respiration Monitoring Scheme for Remote Healthcare

The goal is to explore the prediction performance of energy consumption in digital twins of the intelligent factory in the process of urbanization, so that it can provide good guidance for the green development of cities. The digital twin technology is introduced into the intelligent factory, in view of the influence of life cycle, data transmission delay and other factors of the equipment on product energy consumption of intelligent factory manufacturing in the real physical environment. Meanwhile, it is improved by DL (deep learning) algorithm to construct an improved AlexNet algorithm framework. Then, DPFS (Differential Privacy Frequent Subgraph) algorithm is adopted to build a digital twin energy consumption prediction model of intelligent factory based on DL and privacy algorithm. Finally, a simulation scenario is established to verify its performance. Through the comparative analysis of the digital twin energy consumption prediction model and other scholars’ models in related fields, the feature recognition accuracy of the constructed model reaches 89.23%, at least 1.95% higher than that of other neural network models. From the perspective of energy consumption data transmission performance, the data message delivery rate of the proposed model is not less than 80%. Besides, the data message leakage rate and packet loss rate are less than 11%, and the average delay is basically stable. Therefore, the constructed model can achieve high energy consumption data transmission security performance under the premise of ensuring the prediction accuracy, which can provide experimental basis for the prediction of energy consumption and the improvement of security maintenance performance in intelligent factories.

Zhihan Lv

Papers

An anaglyph 2D-3D stereoscopic video visualization approach

5G for mobile augmented reality

Special Issue on “Augmented Reality, Virtual Reality & Semantic 3D Reconstruction”

Wi-Breath: A WiFi-Based Contactless and Real-Time Respiration Monitoring Scheme for Remote Healthcare

Prediction of Energy Consumption in Digital Twins of Intelligent Factory by Artificial Intelligence