Product Monitoring for Integrity and Safety Enhancement

Safer Systems ◽  
1997 ◽  
pp. 256-274
Author(s):  
Robin Whitty
Keyword(s):  
2009 ◽  
Vol 13 (4) ◽  
pp. 54-59
Author(s):  
Ján Piľa ◽  
Aurel Sloboda ◽  
Aurel Sloboda ◽  
Zuzana Hajduová
Keyword(s):  

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 919-937
Author(s):  
Nikos Papadakis ◽  
Nikos Koukoulas ◽  
Ioannis Christakis ◽  
Ilias Stavrakas ◽  
Dionisis Kandris

The risk of theft of goods is certainly an important source of negative influence in human psychology. This article focuses on the development of a scheme that, despite its low cost, acts as a smart antitheft system that achieves small property detection. Specifically, an Internet of Things (IoT)-based participatory platform was developed in order to allow asset-tracking tasks to be crowd-sourced to a community. Stolen objects are traced by using a prototype Bluetooth Low Energy (BLE)-based system, which sends signals, thus becoming a beacon. Once such an item (e.g., a bicycle) is stolen, the owner informs the authorities, which, in turn, broadcast an alert signal to activate the BLE sensor. To trace the asset with the antitheft tag, participants use their GPS-enabled smart phones to scan BLE tags through a specific smartphone client application and report the location of the asset to an operation center so that owners can locate their assets. A stolen item tracking simulator was created to support and optimize the aforementioned tracking process and to produce the best possible outcome, evaluating the impact of different parameters and strategies regarding the selection of how many and which users to activate when searching for a stolen item within a given area.


Author(s):  
Niklas Grabbe ◽  
Michael Höcher ◽  
Alexander Thanos ◽  
Klaus Bengler

Automated driving offers great possibilities in traffic safety advancement. However, evidence of safety cannot be provided by current validation methods. One promising solution to overcome the approval trap (Winner, 2015) could be the scenario-based approach. Unfortunately, this approach still results in a huge number of test cases. One possible way out is to show the current, incorrect path in the argumentation and strategy of vehicle automation, and focus on the systemic mechanisms of road traffic safety. This paper therefore argues the case for defining relevant scenarios and analysing them systemically in order to ultimately reduce the test cases. The relevant scenarios are based on the strengths and weaknesses, in terms of the driving task, for both the human driver and automation. Finally, scenarios as criteria for exclusion are being proposed in order to systemically assess the contribution of the human driver and automation to road safety.


Vaccine ◽  
2021 ◽  
Author(s):  
Naoto Ito ◽  
Takuya Okamoto ◽  
Michihito Sasaki ◽  
Shoya Miyamoto ◽  
Tatsuki Takahashi ◽  
...  

Author(s):  
Vidushan Manamperi ◽  
Kavindu Liyaarachchi ◽  
Sadeepa Samaranayake ◽  
Vimukthi Fernando ◽  
Pradeep Abeygunawardhana ◽  
...  
Keyword(s):  

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