scholarly journals Optimization of Public Building Monitoring System Based on Human Behavior

2019 ◽  
Author(s):  
Hong-bo Guo ◽  
Yang Gao ◽  
Guo-jian Wang ◽  
Qing-ping Li ◽  
Ran Jia ◽  
...  
Keyword(s):  
Monitoring System ◽  
Human Behavior ◽  
Public Building ◽  
Building Monitoring

scholarly journals Construction and Application of Indoor Video Surveillance System Based on Human Activity Recognition

2018 ◽  
Vol 232 ◽  
pp. 04024
Author(s):  
Yuchen Wang ◽  
Mantao Wang ◽  
Zhouyu Tan ◽  
Jie Zhang ◽  
Zhiyong Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Monitoring System ◽  
Activity Recognition ◽  
Human Activity ◽  
Monitoring Network ◽  
Recognition System ◽  
Human Activity Recognition ◽  
Convolution Neural Network ◽  
Learning Technology ◽  
Building Monitoring

With the growth of building monitoring network, increasing human resource and funds have been invested into building monitoring system. Computer vision technology has been widely used in image recognition recently, and this technology has also been gradually applied to action recognition. There are still many disadvantages of traditional monitoring system. In this paper, a human activity recognition system which based on the convolution neural network is proposed. Using the 3D convolution neural network and the transfer learning technology, the human activity recognition engine is constructed. The Spring MVC framework is used to build the server end, and the system page is designed in HBuilder. The system not only enhances efficiency and functionality of building monitoring system, but also improves the level of building safety.

scholarly journals Building monitoring system in a large social housing intervention in Northern Italy

2017 ◽  
Vol 140 ◽  
pp. 386-397 ◽  
Author(s):  
Elisa Sirombo ◽  
Marco Filippi ◽  
Antonio Catalano ◽  
Andrea Sica
Keyword(s):  
Monitoring System ◽  
Social Housing ◽  
Northern Italy ◽  
Building Monitoring

Cloud Computing Application in Building Monitoring System

2013 ◽  
Vol 303-306 ◽  
pp. 2103-2106
Author(s):  
Cong Cheng
Keyword(s):  
Cloud Computing ◽  
Information Management ◽  
Monitoring System ◽  
Data Storage ◽  
Signal Transmission ◽  
Overall Design ◽  
Computing Services ◽  
Huge Data ◽  
Building Monitoring ◽  
Design Idea

Popularization of the building monitoring system requires huge data storage, information management and computing services. However, the analog signal transmission cannot meet the requirements anymore, therefore cloud computing has to play its role. For this purpose, this article brings up an overall design idea and physical deployment of a cloud-based building monitoring system.

Ambulatory Behavior Map, Physical Activity and Biosignal Monitoring System

1997 ◽  
Vol 36 (04/05) ◽  
pp. 360-363 ◽  
Author(s):  
D. Murakami ◽  
M. Makikawa
Keyword(s):  
Physical Activity ◽  
Monitoring System ◽  
Human Behavior ◽  
Daily Life ◽  
Memory Device ◽  
Physical Activities ◽  
Activity Monitoring ◽  
Physical Activity Monitoring ◽  
New System

Abstract:In this study, we have developed an ambulatory human behavior map and physical activity monitoring system. This was accomplished by equipping our portable digital biosignal memory device developed previously with GPS sensors and piezoresistive accelerometers. Using this new system, we can get a subject’s behavior map, and estimate his physical activities and posture changes in daily life.

Accessed Data Acquisition Model Based on Multi-Protocolequipment

2013 ◽  
Vol 765-767 ◽  
pp. 1636-1639
Author(s):  
Sien Lai ◽  
Ting Shu ◽  
Guang Hui Yang ◽  
Rui Lin Zhang
Keyword(s):  
Data Acquisition ◽  
Monitoring System ◽  
Configuration Software ◽  
Intelligent Building ◽  
Device Drivers ◽  
Model Based ◽  
Building Monitoring

According to the requirement of multi-devices access to the computer in intelligent building monitoring system, combined with the principle of the upper computers data acquisition and the principle of configuration software, this paper proposes auppercomputerdata acquisition model by simulating the equipment into channels and the model is based on double buffers sampling technology. The model adopts the principle of device drivers;different equipments computer modules access to the model in the form of plug-ins.

scholarly journals Human behavioral pattern analysis-based anomaly detection system in residential space

2021 ◽  
Author(s):  
Seunghyun Choi ◽  
Changgyun Kim ◽  
Yong-Shin Kang ◽  
Sekyoung Youm
Keyword(s):  
Deep Learning ◽  
Anomaly Detection ◽  
Monitoring System ◽  
Human Behavior ◽  
Industrial Revolution ◽  
Detection System ◽  
Behavioral Pattern ◽  
Life Patterns ◽  
Fourth Industrial Revolution ◽  
Residential Space

AbstractIncreasingly, research has analyzed human behavior in various fields. The fourth industrial revolution technology is very useful for analyzing human behavior. From the viewpoint of the residential space monitoring system, the life patterns in human living spaces vary widely, and it is very difficult to find abnormal situations. Therefore, this study proposes a living space-based monitoring system. The system includes the behavioral analysis of monitored subjects using a deep learning methodology, behavioral pattern derivation using the PrefixSpan algorithm, and the anomaly detection technique using sequence alignment. Objectivity was obtained through behavioral recognition using deep learning rather than subjective behavioral recording, and the time to derive a pattern was shortened using the PrefixSpan algorithm among sequential pattern algorithms. The proposed system provides personalized monitoring services by applying the methodology of other fields to human behavior. Thus, the system can be extended using another methodology or fourth industrial revolution technology.

Data Persistence on Physical Function Monitoring System for Athletes

2014 ◽  
Vol 602-605 ◽  
pp. 1622-1625
Author(s):  
Xue Ying Zhang ◽  
Kai Su
Keyword(s):  
Physical Function ◽  
Monitoring System ◽  
Athletic Training ◽  
Structure Design ◽  
Database Management System ◽  
Physiological Indicators ◽  
Building Monitoring ◽  
Data Persistence ◽  
Sql Server Database ◽  
The Law

You can find out the law of matter and energy metabolism when you are active by means of monitoring the athletes’ physical function, and the law can provide a theoretical basis for the training to achieve scientific training ultimately. Monitoring system can achieve a comprehensive information management for monitorship; data persistence is an important work of building monitoring system, and the paper researches on the NHibernate technology that based on .Net. First, data structure design was conducted based on the SQL Server database management system; then, you can study NHibernate architecture through the graphics; finally, you can carry on persistence design on the "Physiological Indicators" Table according to the persistence steps of NHibernate. Result of this study can be applied to the field of athletic training and has important implications for improving athletic performance, promoting sports development and so on.

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