The information security risk assessment is investigated from perspectives of most advanced probabilistic risk assessment (PRA) for nuclear power plants. Accident scenario enumeration by initiating events, mitigation systems and event trees are first described and demonstrated. Assets, confidentiality, integrity, availability, threats, vulnerabilities, impacts, likelihoods, and safeguards are r...

Process plants may be very complex and may combine various processes in close proximity. Hence, the response to accidents may easily grow complex. Traditionally, after gathering and getting acquainted with the plant's technical information, risk is analysed in prescribed steps starting with hazard identification, description of accident scenarios and using the conventional approach to develop s...

As digital systems are introduced to nuclear power plants, issues related with reliability analyses of these digital systems are being raised. One of these issues is that static Fault Tree (FT) and Event Tree (ET) approach cannot properly account for dynamic interactions in the digital systems, such as multiple top events, logic loops and time delay. This study proposes an approach to analyzing...

the present study describes approaches for the identification of individual beech trees using maternal tissues from their seeds or fruits. four microsatellite markers were used for genetic analysis of seedlots from fagus orientalis lipsky, a highly out-crossing tree species. seeds from 11 single-tree harvests belonging to one population, (7 seeds from each), as well as non-paranchymatic materna...

In the broad framework of nuclear power plants (NPPs) industry, dynamic probabilistic risk assessment could answer time dependence deficiency event tree and fault analysis. The basic approach relies on experts’ pre-constructed accident sequences without exploring time-dependent nature an scenario, which strongly affect sequence. Conversely, effects events timing can be studied by adopting a (DE...

We study the problem of comparing tree-structured data. This problem has applications in several diverse elds, including molecular biology, natural language processing, image and pattern matching, program analysis, document management, and change management in databases [SZ90, NBR88, WZJS94, WCM94, Yan91, WSC97, C3]. Our interest in this problem stems from implementing a subscription service th...

To enable data aggregation among the event sources in wireless sensor networks and to reduce the communication cost there is a need to establish a coveraged tree structure inside any given event region to allow data reports to be aggregated at a single processing point prior to transmission to the network. In this paper we propose a novel technique to create one such tree which maximizes the li...