scholarly journals Relevance of environmental and public safety issues predicts public importance of economic vitality

2010 ◽  
Author(s):  
R. Thomas ◽  
S. Conway ◽  
P. Washeba ◽  
R. Cameron ◽  
R. Skidmore
Keyword(s):  
Public Safety ◽  
Safety Issues ◽  
Economic Vitality

scholarly journals A Novel Detection Framework for Detecting Abnormal Human Behavior

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Chengfei Wu ◽  
Zixuan Cheng
Keyword(s):  
Human Behavior ◽  
Public Safety ◽  
Space Time ◽  
Abnormal Behavior ◽  
Detection Methods ◽  
Time Block ◽  
Safety Issues ◽  
Behavior Detection ◽  
Abnormal Behavior Detection ◽  
Abnormal Behaviors

Public safety issues have always been the focus of widespread concern of people from all walks of life. With the development of video detection technology, the detection of abnormal human behavior in videos has become the key to preventing public safety issues. Particularly, in student groups, the detection of abnormal human behavior is very important. Most existing abnormal human behavior detection algorithms are aimed at outdoor activity detection, and the indoor detection effects of these algorithms are not ideal. Students spend most of their time indoors, and modern classrooms are mostly equipped with monitoring equipment. This study focuses on the detection of abnormal behaviors of indoor humans and uses a new abnormal behavior detection framework to realize the detection of abnormal behaviors of indoor personnel. First, a background modeling method based on a Gaussian mixture model is used to segment the background image of each image frame in the video. Second, block processing is performed on the image after segmenting the background to obtain the space-time block of each frame of the image, and this block is used as the basic representation of the detection object. Third, the foreground image features of each space-time block are extracted. Fourth, fuzzy C-means clustering (FCM) is used to detect outliers in the data sample. The contribution of this paper is (1) the use of an abnormal human behavior detection framework that is effective indoors. Compared with the existing abnormal human behavior detection methods, the detection framework in this paper has a little difference in terms of its outdoor detection effects. (2) Compared with other detection methods, the detection framework used in this paper has a better detection effect for abnormal human behavior indoors, and the detection performance is greatly improved. (3) The detection framework used in this paper is easy to implement and has low time complexity. Through the experimental results obtained on public and manually created data sets, it can be demonstrated that the performance of the detection framework used in this paper is similar to those of the compared methods in outdoor detection scenarios. It has a strong advantage in terms of indoor detection. In summary, the proposed detection framework has a good practical application value.

THE EFFECTIVENESS OF THE ORGANIC PRODUCTION IN AGRICULTURAL ENTERPRISES: PUBLIC SAFETY ISSUES

2015 ◽  
Vol 2 (2) ◽  
pp. 102-108
Author(s):  
Petro Skrypchuk ◽  
Daryna Zakharova
Keyword(s):  
Public Safety ◽  
Organic Production ◽  
Safety Issues ◽  
Agricultural Enterprises ◽  
Organic Standards ◽  
The Eu

In the article organic standards in agricultural enterprises are systematized. Regulation of organic production in the leading countries of the EU and Ukraine is considered. Innovative provisions in the standards for the organic production are offered. The necessity of maintaining The Anti-Fraud Initiative in Ukraine is substantiated.

Safety Evacuation at Metro Transit Station in Shenyang under Fire

2013 ◽  
Vol 864-867 ◽  
pp. 849-852 ◽  
Author(s):  
Yan Ying Xu ◽  
Wan Wan Duan ◽  
Lu Chao Li
Keyword(s):  
Structural Characteristic ◽  
Public Safety ◽  
Rapid Development ◽  
Great Influence ◽  
Evacuation Time ◽  
Safety Issues ◽  
The Public ◽  
Fire Scenarios ◽  
Transit Station ◽  
Safety Evacuation

It's necessary to pay much attention to the public safety issues of subway because of the rapid development of urban subway. Safety evacuation under different fire scenarios were simulated by using SIMULEX 2.0 at Metro transit station (Youth Street station) in Shenyang combined the actual structural characteristic. The results show that the evacuation capacity of Metro Line 1 is smaller than Metro Line 2; the staircase to the station hall of Metro Line 1 would be the bottleneck of the entire evacuation process; different paths have a great influence on the evacuation time; the staircase width from the platform to the station hall is the bottleneck in the evacuation procedure.

scholarly journals IOT Smart City: Introduction and Challenges

2019 ◽  
Vol 8 (3) ◽  
pp. 3484-3487 ◽  
Keyword(s):  
Water Supply ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Smart City ◽  
Public Safety ◽  
Treatment Plant ◽  
Privacy And Security ◽  
Safety Issues ◽  
The World ◽  
Innovative Solution

In an IOT based smart city, the most astonishing and, the most reflective component would be a much more efficient water supply. This kind of water supply treatment plant that would be established will be a much more advanced version of the already existing kinds. This water supply would help many people across the globe to get access to clean, drinking water and sanitation. Also, in such a city there would be provided an innovative solution to the huge traffic congestion being faced these days that leads to delays in reaching to work, rash driving and results in huge chaos and accidents. Thus, it would be great to kept in mind to provide a mid-way out to deal with these traffic issues in a more reliable and efficient way. We would provide a more reliable public transportation. Public transportation these days are the most relied means of conveyance for people living in all parts of the world. Thus, we would build up a more reliable public transport structure that would be effortless. This would minimize the deals, difficulties and would maximize the ease for the travelers. The next thing would be to make energy efficient buildings that will aim at minimizing the wastage of energy of the entire community. These buildings would run on least amount of possible energy (for e.g. solar energy) resulting in minimum loss. Safety is a major concern these days. There are lot of safety issues popping up in all parts of the world. Thus, in our model, we would provide an improved public safety that links back to the infrastructure, buildings, lifts, escalators, elevators, public transportation etc. Thus, with improved public safety, all these factors would be procured. However, with all these aims being enforced in the city, there would come up a lot of challenges that would be needed to countered. The system software that would be the base of framework of this IOT based smart city, would be vulnerable to hacks, system failures i.e. trojans, malware and viruses. This would result in privacy and security concerns but obvious, and also difficulties in interoperability, but suitable specific would be procured to counter these issues as well.

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