Application of the Safety and Security Impact Reference Model for Communication Based Train Control and Management Systems

Author(s):  
Marek Pawlik
IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 23052-23059 ◽  
Author(s):  
Juan Moreno Garcia-Loygorri ◽  
Inaki Val ◽  
Aitor Arriola ◽  
Cesar Briso-Rodriguez

2021 ◽  
pp. 87-92
Author(s):  
Konstantin V. Karetnikov ◽  

The federal legislation views the prevention of juvenile delinquency and antisocial actions as very significant, since an offense is understood as an administrative offense and a criminal offense, and antisocial actions include other offenses. This issue is topical for young offender institutions; however, the special category of detainees implies a special category of crimes and violations of the established order of serving the sentence (disciplinary responsibility of convicts). By the end of 2020, there were 949 people in 18 young offender institutions. According to the statistics, the convicts did not commit crimes, yet there were more than 545 other violations. In the current circumstances, it is necessary to improve the prevention of offenses by focusing on specific activities in penal institutions, including active use of non-contact supervision over the behavior of convicts (stationary video cameras, portable video recorders, biometric identification means, access control and management systems). The researchers and practitioners are discussing the possibility of using electronic monitoring systems to supervise the behavior of convicts. This will allow a better quality of supervision over the special contingent and more effective preventive activities in young offender institutions.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shi Zhao ◽  
Tien-Fu Lu ◽  
Larissa Statsenko ◽  
Benjamin Koch ◽  
Chris Garcia

Purpose In the mining industry, a run-of-mine (ROM) stockpile is a temporary storage unit, but it is also widely accepted as an effective method to reduce the short-term variations of ore grade. However, tracing ore grade at ROM stockpiles accurately using most current fleet management systems is challenging, due to insufficient information available in real time. This study aims to build a three-dimensional (3D) model for ROM stockpiles continuously based on fine-grained grade information through integrating data from a number of ore grade tracking sources. Design/methodology/approach Following a literature review, a framework for a new stockpile management system is proposed. In this system, near real-time high-resolution 3D ROM stockpile models are created based on dump/load locations measured from global positioning system sensors. Each stockpile model contains a group of layers which are separated by different qualities. Findings Acquiring the geometric shapes of all the layers in a stockpile and cuts made by front wheel loaders provides a better understanding about the quality and quality distribution within a stockpile when it is stacked/reclaimed. Such a ROM stockpile model can provide information on predicating ore blend quality with high accuracy and high efficiency. Furthermore, a 3D stockyard model created based on such ROM stockpile models can help organisations optimise material flow and reduce the cost. Research limitations/implications The modelling algorithm is evaluated using a laboratory scaled stockpile at this stage. The authors expect to scan a real stockpile and create a reference model from it. Meanwhile, the geometric model cannot represent slump or collapse during reclaiming faithfully. Therefore, the model is expected to be reconcile monthly using laser scanning data. Practical implications The proposed model is currently translated to the operations at OZ Minerals. The use of such model will reduce the handling costs and improve the efficiency of existing grade management systems in the mining industry. Originality/value This study provides a solution to build a near real-time high-resolution multi-layered 3D stockpile model through using currently available information and resources. Such novel and low-cost stockpile model will improve the production rates with good output product quality control.


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