Structural Enhancement of Cloud Monitoring System Using Elasticity Properties

2021 ◽  
Author(s):  
Gopaji Naga Prasad ◽  
B. Eswara Reddy
Keyword(s):  
Monitoring System ◽  
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 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 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.

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.

scholarly journals Cloud monitoring system at Telescope Array site by Visible Fisheye CCD

2019 ◽  
Vol 210 ◽  
pp. 05016
Author(s):  
Ryo Nakamura ◽  
Takayuki Tomida ◽  
Yasunori Saito ◽  
Katsuya Yamazaki
Keyword(s):  
Cosmic Rays ◽  
Monitoring System ◽  
Ccd Camera ◽  
High Energy ◽  
Fluorescence Detector ◽  
Telescope Array ◽  
Energy Estimation ◽  
High Energy Cosmic Rays ◽  
Observation Area ◽  
Cloud Monitoring

The Telescope Array (TA) is an international experiment studying ultra-high energy cosmic rays. TA uses the fluorescence detection technique to observe cosmic rays. In order to estimate the energy of cosmic rays with a fluorescence detector (FD), it is necessary to measure the condition of the observation area. Clouds affect the accuracy of the energy estimation. It is necessary to measure the existence of clouds and their direction in the Field Of View (FOV) of the FD. We developed a cloud monitoring system to measure the night sky weather using a CCD camera. In this report, we present our progress on our CCD cloud monitoring system.

Sign in / Sign up

Export Citation Format

Share Document