Flow group convolution: group convolution with channels information interaction

2021 ◽  
Author(s):  
Bohan Li ◽  
Zuguo He ◽  
Xiang ye ◽  
Fengnan Li ◽  
Yong Li
Keyword(s):  
Information Interaction ◽  
Flow Group

Application Of BIM-Technology In The Restoration Of Buildings

2020 ◽  
pp. 42-48
Keyword(s):  
Chinese Communist Party ◽  
Laser Scanning ◽  
High Accuracy ◽  
Information Environment ◽  
Information Modeling ◽  
Structural Scheme ◽  
Traditional Design ◽  
Information Interaction ◽  
Heritage Buildings ◽  
Effective Organization

The paper describes the main trends in the development of BIM technologies in the field of restoration and reconstruction of historical and cultural heritage buildings. The practical part of the paper presents the experience in using information modeling technologies when restoring the building, where the VI Congress of the Chinese Communist Party in Moscow took place. The use of laser scanning technologies made it possible to reproduce with high accuracy in the information model the original appearance of the building using Autodesk RevitR software. It is shown, how the use of information modeling technologies affects the duration of restoration process, taking into account the calculation of the structural scheme and bearing structures of the building, ensuring the identity of the decoration and the effective organization of electromechanical installation. Operating in a single BIM information environment makes it possible to continuously obtain reliable information on the project, which provides more effective information interaction and communication of participants compared to using traditional design methods.

The development of information interaction as a key element of state risk management and health protection

2020 ◽  
pp. 68-76
Author(s):  
S. Voronkova
Keyword(s):  
Risk Factors ◽  
Health Promotion ◽  
Information System ◽  
Information Interaction ◽  
New Information ◽  
Wide Range ◽  
Working Age ◽  
The Russian Federation ◽  
Working Age Population ◽  
Types Of Information

The article discusses ways to obtain information about risk factors and the health status of the population. The article describes a new information system «labor Medicine», which allows to organize the collection of a wide range of data for further analysis and application in the activities of various Executive authorities, public organizations, foundations, legal entities and citizens. It is proposed to improve this system by expanding the types of information collected, creating a passport for health promotion organizations, as well as integration with systems that are being implemented in the Russian Federation for managing the health of the working-age population in the context of state policy in the field of Informatization.

The Central Role of Cognitive Computations in Human-Information Interaction

2018 ◽  
Author(s):  
Wai-Tat Fu ◽  
Jessie Chin ◽  
Q. Vera Liao
Keyword(s):  
Information Systems ◽  
Cognitive Science ◽  
Intelligent Systems ◽  
Intelligent System ◽  
Levels Of Abstraction ◽  
Intelligent Information Systems ◽  
Emergent Behaviour ◽  
Information Interaction ◽  
Intelligent Information

Cognitive science is a science of intelligent systems. This chapter proposes that cognitive science can provide useful perspectives for research on technology-mediated human-information interaction (HII) when HII is cast as emergent behaviour of a coupled intelligent system. It starts with a review of a few foundational concepts related to cognitive computations and how they can be applied to understand the nature of HII. It discusses several important properties of a coupled cognitive system and their implication to designs of information systems. Finally, it covers how levels of abstraction have been useful for cognitive science, and how these levels can inform design of intelligent information systems that are more compatible with human cognitive computations.

scholarly journals Identifying bidirectional total and non-linear information flow in functional corticomuscular coupling during a dorsiflexion task: a pilot study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Tie Liang ◽  
Qingyu Zhang ◽  
Xiaoguang Liu ◽  
Bin Dong ◽  
Xiuling Liu ◽  
...  
Keyword(s):  
Time Series ◽  
Information Flow ◽  
Gamma Band ◽  
Motor Dysfunction ◽  
Beta Band ◽  
Short Time Series ◽  
Information Interaction ◽  
Stroke Group ◽  
Short Time ◽  
Maximal Information Coefficient

Abstract Background The key challenge to constructing functional corticomuscular coupling (FCMC) is to accurately identify the direction and strength of the information flow between scalp electroencephalography (EEG) and surface electromyography (SEMG). Traditional TE and TDMI methods have difficulty in identifying the information interaction for short time series as they tend to rely on long and stable data, so we propose a time-delayed maximal information coefficient (TDMIC) method. With this method, we aim to investigate the directional specificity of bidirectional total and nonlinear information flow on FCMC, and to explore the neural mechanisms underlying motor dysfunction in stroke patients. Methods We introduced a time-delayed parameter in the maximal information coefficient to capture the direction of information interaction between two time series. We employed the linear and non-linear system model based on short data to verify the validity of our algorithm. We then used the TDMIC method to study the characteristics of total and nonlinear information flow in FCMC during a dorsiflexion task for healthy controls and stroke patients. Results The simulation results showed that the TDMIC method can better detect the direction of information interaction compared with TE and TDMI methods. For healthy controls, the beta band (14–30 Hz) had higher information flow in FCMC than the gamma band (31–45 Hz). Furthermore, the beta-band total and nonlinear information flow in the descending direction (EEG to EMG) was significantly higher than that in the ascending direction (EMG to EEG), whereas in the gamma band the ascending direction had significantly higher information flow than the descending direction. Additionally, we found that the strong bidirectional information flow mainly acted on Cz, C3, CP3, P3 and CPz. Compared to controls, both the beta-and gamma-band bidirectional total and nonlinear information flows of the stroke group were significantly weaker. There is no significant difference in the direction of beta- and gamma-band information flow in stroke group. Conclusions The proposed method could effectively identify the information interaction between short time series. According to our experiment, the beta band mainly passes downward motor control information while the gamma band features upward sensory feedback information delivery. Our observation demonstrate that the center and contralateral sensorimotor cortex play a major role in lower limb motor control. The study further demonstrates that brain damage caused by stroke disrupts the bidirectional information interaction between cortex and effector muscles in the sensorimotor system, leading to motor dysfunction.

scholarly journals Information Spillover Effects of Real Estate Markets: Evidence from Ten Metropolitan Cities in China

2021 ◽  
Vol 14 (6) ◽  
pp. 244
Author(s):  
Junjie Li ◽  
Li Zheng ◽  
Chunlu Liu ◽  
Zhifeng Shen
Keyword(s):  
Real Estate ◽  
Rapid Development ◽  
House Price ◽  
Principal Component ◽  
Spillover Effects ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Information Interaction ◽  
Information Spillover

With the rapid development of information communication technology and the Internet, information spillover between cities in real estate markets is becoming more frequent. The influence of information spillover in real estate markets is becoming more and more prominent. However, the current research of information spillover between cities is still relatively insufficient. In view of this research gap, this paper builds a research framework on the information conduction effect in the real estate markets of 10 Chinese cities by using Baidu search data, text mining and principal component analysis and analyzes the information interaction and dynamic influence of the real estate markets in each city by using the vector autoregressive model empirically. The results show that the information interaction among the real estate markets in each city has a network pattern and there is a significant two-way information spillover effect in most cities. When the “information distance” becomes closer, the information interaction between the markets of the cities becomes closer and it is easier for cities to influence each other. The results help to explain the information spillover mechanism behind the house price spillover and to improve the ability to predict and analyze the information spillover process in real estate markets.

Report on the CHIIR 2019 Second Workshop on Evaluation of Personalisation in Information Retrieval (WEPIR 2019)

2019 ◽  
Vol 53 (1) ◽  
pp. 29-37
Author(s):  
Gareth J. F. Jones ◽  
Nicholas J. Belkin ◽  
Séamus Lawless ◽  
Gabriella Pasi
Keyword(s):  
Information Retrieval ◽  
Information Interaction ◽  
Further Development ◽  
Common Understanding

The Second Workshop on Evaluation of Personalisation in Information Retrieval (WEPIR 2019) was held in conjunction with the ACM SIGIR Conference on Human Information Interaction & Retrieval (CHIIR 2019) in Glasgow, Scotland. WEPIR 2019 followed on from the first WEPIR held at CHIIR 2018. The purpose of the workshop was again to bring together researchers from different backgrounds, interested in advancing the evaluation of personalisation in information retrieval. The workshop focused on further development of a common understanding of the challenges, requirements and practical limitations of personalisation in information retrieval and its evaluation.

Multiscale permutation mutual information quantify the information interaction for traffic time series

2020 ◽  
Vol 102 (3) ◽  
pp. 1909-1923
Author(s):  
Yi Yin ◽  
Xi Wang ◽  
Qiang Li ◽  
Pengjian Shang ◽  
He Gao ◽  
...  
Keyword(s):  
Time Series ◽  
Mutual Information ◽  
Traffic Time Series ◽  
Information Interaction

Traditional Culture Protection System Based on the Virtual Augmented Reality Technology

2014 ◽  
Vol 513-517 ◽  
pp. 491-497
Author(s):  
Yi Wen Zhang ◽  
Wei Zhou ◽  
Qi Wang ◽  
Li Lan Chen ◽  
Jie Fang
Keyword(s):  
Augmented Reality ◽  
Channel Model ◽  
Traditional Culture ◽  
Protection System ◽  
Framework Design ◽  
Information Interaction ◽  
Augmented Reality Technology ◽  
Virtual And Augmented Reality ◽  
Digital Protection ◽  
Cartoon Animation

A systematic multi-channel model paradigm for information interaction was proposed under the framework of the development of digital protection system of traditional culture. Analysis was carried out by aiming at the modular classification, interactive structure and data interface in the framework design for the information data. Attention was focused on solving such problems as the key technologies and operate mode of the interactive optimization and structural optimization for the virtual and augmented reality scene. The concept and technology of cartoon animation were analyzed. Thus, the effectiveness of the interactive technology of the system model and the advantages of the multi-channel orderly integration for information were testified.

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