scholarly journals Cloud monitoring system by Visible-light Fisheye CCD

2017 ◽  
Author(s):  
Motoki Hayashi ◽  
Ryo Nakamura ◽  
Katsuya Yamazaki ◽  
Yasunori Saito ◽  
Takayuki Tomida ◽  
...  
Keyword(s):  
Visible Light ◽  
Monitoring System ◽  
Cloud Monitoring

scholarly journals Cloud monitoring system by Visible-light Fisheye CCD for the Telescope Array

2019 ◽  
Author(s):  
Katsuya Yamazaki ◽  
Takayuki Tomida ◽  
Ryo Nakamura ◽  
Yasunori Saito ◽  
Keyword(s):  
Visible Light ◽  
Monitoring System ◽  
Telescope Array ◽  
Cloud Monitoring

Research on Video Encryption and Privacy Protection in Cloud Monitoring System Based on H.264

2019 ◽  
Vol 12 ◽  
Author(s):  
Qingtao Wu ◽  
Zaihui Cao
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Video Data ◽  
Encryption Algorithm ◽  
Management Tool ◽  
Video Encryption ◽  
Wireless Multimedia ◽  
Monitoring Technology ◽  
Security Issues ◽  
Cloud Monitoring

: Cloud monitoring technology is an important maintenance and management tool for cloud platforms.Cloud monitoring system is a kind of network monitoring service, monitoring technology and monitoring platform based on Internet. At present, the monitoring system is changed from the local monitoring to cloud monitoring, with the flexibility and convenience improved, but also exposed more security issues. Cloud video may be intercepted or changed in the transmission process. Most of the existing encryption algorithms have defects in real-time and security. Aiming at the current security problems of cloud video surveillance, this paper proposes a new video encryption algorithm based on H.264 standard. By using the advanced FMO mechanism, the related macro blocks can be driven into different Slice. The encryption algorithm proposed in this paper can encrypt the whole video content by encrypting the FMO sub images. The method has high real-time performance, and the encryption process can be executed in parallel with the coding process. The algorithm can also be combined with traditional scrambling algorithm, further improve the video encryption effect. The algorithm selects the encrypted part of the video data, which reducing the amount of data to be encrypted. Thus reducing the computational complexity of the encryption system, with faster encryption speed, improve real-time and security, suitable for transfer through mobile multimedia and wireless multimedia network.

scholarly journals Cloud Monitoring for Solar Plants with Support Vector Machine Based Fault Detection System

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Hong-Chan Chang ◽  
Shang-Chih Lin ◽  
Cheng-Chien Kuo ◽  
Hao-Ping Yu
Keyword(s):  
Support Vector Machine ◽  
Information System ◽  
Monitoring System ◽  
Solar Power ◽  
Video Data ◽  
Failure Diagnosis ◽  
Support Vector ◽  
Management Platform ◽  
System A ◽  
Cloud Monitoring

This study endeavors to develop a cloud monitoring system for solar plants. This system incorporates numerous subsystems, such as a geographic information system, an instantaneous power-consumption information system, a reporting system, and a failure diagnosis system. Visual C# was integrated with ASP.NET and SQL technologies for the proposed monitoring system. A user interface for database management system was developed to enable users to access solar power information and management systems. In addition, by using peer-to-peer (P2P) streaming technology and audio/video encoding/decoding technology, real-time video data can be transmitted to the client end, providing instantaneous and direct information. Regarding smart failure diagnosis, the proposed system employs the support vector machine (SVM) theory to train failure mathematical models. The solar power data are provided to the SVM for analysis in order to determine the failure types and subsequently eliminate failures at an early stage. The cloud energy-management platform developed in this study not only enhances the management and maintenance efficiency of solar power plants but also increases the market competitiveness of solar power generation and renewable energy.

scholarly journals Design and Implementation of a Monitoring System using Optical Camera Communication for a Smart Factory

2019 ◽  
Vol 9 (23) ◽  
pp. 5103 ◽  
Author(s):  
Nguyen Cong Hoan ◽  
Nguyen Van Hoa ◽  
Vu Thanh Luan ◽  
Yeong Min Jang
Keyword(s):  
Visible Light ◽  
Monitoring System ◽  
Low Cost ◽  
Visible Light Communication ◽  
Modulation Scheme ◽  
Light Emitting ◽  
Hospital Patients ◽  
Effects On Children ◽  
The Time Domain ◽  
Optical Camera Communication

Wireless technologies that are based on radio frequencies are currently widely used, with numerous applications around the world. However, they pose some disadvantages to human health. High frequencies can have potentially harmful effects on children, hospital patients, and even healthy people if the signal power exceeds the permitted standard. Conversely, the use of visible light for data transmission is a trend that presents new options, including optical wireless communication, optical camera communication, and visible light communication. This paper proposes a modulation scheme based on on-off keying in the time domain, which is applied to a monitoring system using optical camera communication. This scheme has various compatible supports for the global-shutter camera and rolling-shutter camera, which are popular commercially available cameras. Furthermore, this scheme facilitates a low-cost monitoring system. By using small light-emitting diodes (LEDs) and controlling the exposure time in a single camera, the camera, as a receiver, can simultaneously detect signals from up to 10 sensor devices in different positions at a maximum distance of up to 50 m, with a low error rate.

Public Participatory Integrity Monitoring of the Great Wall Based on Smart Phones

2016 ◽  
Author(s):  
Xuefeng Zhao ◽  
Niannian Wang ◽  
Linan Wang ◽  
Yan Yu ◽  
Mingchu Li ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Monitoring System ◽  
Smart Phones ◽  
Location Information ◽  
Integrity Monitoring ◽  
Field Surveys ◽  
Vegetation Growth ◽  
Rapid Acquisition ◽  
Cloud Monitoring ◽  
Great Wall

Some of The Great Wall relics are destroyed or even disappeared. The existing studies relied on field surveys are costly and time consuming. So a new cloud monitoring system based on smart phones is proposed. The system, which consists of three modules, image acquisition, questionnaire and real-time location, can realize rapid acquisition of information. Firstly, using smart phones, some photos of the Great Wall can be obtained. Then, the typical integrity damage information and location information can be obtained, including structure crack, human-caused destruction, the vegetation growth, etc. Secondly, analyzing the typical integrity damage information, the evaluation results are obtained. Then, the Great Wall information in the form of questionnaire is posted on the Great Wall integrity monitoring system. Mobile phone users who logged in the system can upload photos, and fill in the questionnaires. Through taking pictures and filling in the questionnaires, the required information can be obtained.

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