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

This is the preprint version of our paper on ICWL2015. A virtual reality based enhanced technology for learning primary geography is proposed, which synthesizes several latest information technologies including virtual reality(VR), 3D geographical information system(GIS), 3D visualization and multimodal human-computer-interaction (HCI). The main functions of the proposed system are introduced, i.e. Buffer analysis, Overlay analysis, Space convex hull calculation, Space convex decomposition, 3D topology analysis and 3D space intersection detection. The multimodal technologies are employed in the system to enhance the immersive perception of the users.

Preprint Virtual Reality Assistant Technology for Learning Primary Geography

A software-defined networks-based measurement method of network traffic for 6G technologies

Improve the Security of Industrial Control System: A Fine-Grained Classification Method for DoS Attacks on Modbus/TCP

Smart vehicular network (SVN) intellectualizes traditional transportation network, significantly enhancing traffic convenience and safety. However, high connectivity and massive devices bring more vulnerabilities, which severely compromise the security, privacy, and trust of the facilities and data. To address the ever-increasing security threats in SVN, we introduce an intrusion detection system to distinguish the abnormal traffic or behavior. A Deep Reinforcement Learning (DRL)-based intrusion detection strategy is proposed in this paper to optimize the detection performance. We exploit a modified Dueling DQN (Deep Q Learning) model, in which interaction between agent and environment is transformed into a supervised machine learning task. Through action taking and reward feedback, the Dueling DQN model can be trained to learn the intrinsic features of traffic data. Finally, simulation result on benchmark intrusion detection dataset also verifies the feasibility and effectiveness of the proposed strategy.

A Deep Reinforcement Learning based Intrusion Detection Strategy for Smart Vehicular Networks

The COVID-19 problem has not gone away with the passing of the seasons. Even though most countries have achieved remarkable results in fighting against epidemic diseases and preventing and controlling viruses, the general public is still far from understanding the new crown virus and lacks imagination on its transmission law. In this paper, we propose MeetDurian: a cross-platform mobile application that exploits a location-based game to improve users’ hygiene habits and reduce virus dispersal. We present its main features, its architecture, and its core technologies. Finally, we report a set of experiments that prove the acceptability and usability of MeetDurian. An illustrative demo of the mobile app features is shown in the following video: https://youtu.be/Vqg7nFDQuOU.

Zhihan Lv

Papers

Preprint Virtual Reality Assistant Technology for Learning Primary Geography

A software-defined networks-based measurement method of network traffic for 6G technologies

Improve the Security of Industrial Control System: A Fine-Grained Classification Method for DoS Attacks on Modbus/TCP

A Deep Reinforcement Learning based Intrusion Detection Strategy for Smart Vehicular Networks

MeetDurian: A Gameful Mobile App to Prevent COVID-19 Infection