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Fault tree analysis (FTA) is a prominent reliability analysis method widely used in safety-critical industries. Computing minimal cut sets (MCSs), i.e., finding all the smallest combination of basic events that result in the top level event, plays a fundamental role in FTA. Classical methods have been proposed based on manipulation of boolean expressions of fault trees and Binary Decision Diagrams...
This paper presents a rapidly and lower neural networks to treat those waste water index that is difficult to be measured. Model called soft sensor is composited two parts: one is used to estimate the principal linear output, the other one is used to adjust estimated error to obtain better accuracy. Selection of features that effects greatly computation scale and predict accuracy is discussed also...
Recent ground-breaking works have shown that deep neural networks can be trained end-to-end to regress dense disparity maps directly from image pairs. Computer generated imagery is deployed to gather the large data corpus required to train such networks, an additional fine-tuning allowing to adapt the model to work well also on real and possibly diverse environments. Yet, besides a few public datasets...
The complexity of the mechanism brings great difficulty to the calculation of the mechanism motion reliability, and the computer simulation algorithm based on Monte Carlo method needs a great number of simulation. The further-development of LMS Virtual. Lab was carried out, and the least square support vector machine algorithm was used to construct the response surface proxy model. The PSO-GA algorithm...
Internet of Things (IoT) has become a favored wireless communication concept in many application domains recently. Most of the IoT networks must fulfill the strict quality of service (QoS) requirements such as low latency and high reliability. Besides, low power consumption is essential in those networks due to the use of battery operated devices. Time Slotted Channel Hopping (TSCH), an operating...
The article considers the problem of complex estimation of the product state, associated with the need to help decision-makers in managing the life cycle of space facilities. A system analysis of the subject area was conducted, which showed the presence of limitations in the existing information system of the technical state and reliability of space facilities. The article presents a new intellectual...
The need for performance has motivated the increasing adoption of solid-state drives (SSD) both in personal computers and data centers. However, the high cost per gigabyte and reduced lifetime hinder the thorough replacement of hard disk drives (HDD) with SSDs. To mitigate these issues, several architectures have been conceived based on hybrid storage systems, but performance and dependability models...
Despite the considerable benefits of cloud computing as an emerging technology, there are some reliability and privacy concerns such as generating and managing access policies according to sensitivity of stored data in cloud storages. The most challenging issue in current information policy models is managing security levels, mapping between access requests and defined policies and considering the...
We address an essential problem in computer vision, that of unsupervised foreground object segmentation in video, where a main object of interest in a video sequence should be automatically separated from its background. An efficient solution to this task would enable large-scale video interpretation at a high semantic level in the absence of the costly manual labeling. We propose an efficient unsupervised...
This paper proposes a novel approach for segmenting primary video objects by using Complementary Convolutional Neural Networks (CCNN) and neighborhood reversible flow. The proposed approach first pre-trains CCNN on massive images with manually annotated salient objects in an end-to-end manner, and the trained CCNN has two separate branches that simultaneously handle two complementary tasks, i.e.,...
Security challenges in cloud environments remain largely catastrophic due to the nature of the cloud; complex, heterogeneous, widely accessible over the internet, and virtualised resource sharing. Static and boundary-based conventional security approaches are clearly not effective as the sole countermeasures. Instead, countermeasures need to be intelligent with a high degree of autonomous, self-managing...
Dependability of cyber-physical systems rests crucially on the fidelity of formal models to their real-world physical subject matter; yet little explicitly focused research has been devoted to this concern. This talk sketches the concern and commends it as a focus for future research in the RE community.
Checkpoint/restart has been widely used to cope with fail-stop errors. The checkpointing frequency is most often optimized by assuming an exponential failure distribution. However, field studies show that most often failures do not follow a constant failure rate exponential distribution. Therefore, the optimal checkpointing frequency should be computed and tuned considering the different distributions...
The collaborative recommendation mechanism is beneficial for the subject in an open network to find efficiently enough referrers who directly interacted with the object and obtain their trust data. The uncertainty analysis to the collected trust data selects the reliable trust data of trustworthy referrers, and then calculates the statistical trust value on certain reliability for any object. After...
The design of cloud computing technologies need to guarantee high levels of availability and for this reason there is a large interest in new fault tolerant techniques that are able to keep the resilience of the systems at the desired level. The modeling of these techniques require input information about the operational state of the systems that have a stochastic nature. The aim of this paper is...
In today's economic conditions, engineers are faced with the problem of designing complex distributed computer systems under tight deadlines. Ensuring high reliability and robustness of such systems requires redundancy of their structure as well as the processes of data transmission and handling. The purpose of this study is to create simulation models and means to support computer-aided design of...
Advancement in digitization gave rise to a new paradigm of communication, called Internet of Things (IoT), where various heterogeneous physical objects (IoT devices) with embedded intelligence can provide or receive services from each other seamlessly. One concerned issue is to maintain reliability in the system with these heterogeneous devices for effective utilization of services. Trust and Reputation...
A framework to assess the reliability of an automotive motor controller with power electronics is presented in this paper. In specific, the significant power electronic device inside the controller, i.e., Insulated Gate Bipolar Transistor (IGBT), is modeled and its operation is simulated using the Matlab/Simulink tool. By computing its thermal behavior one can predict the impact of thermo-mechanical...
In this paper we briefly describe the broad industry problem of solving the best infrastructures deployment comprising an overlay of energy, communications, control and regulatory networks. Solving this problem would provide key enablers for meeting the needs of very diverse social-ecological energy systems (SEES) across the world. As a way forward, we propose a unified modeling framework which is...
New model of multi-layer service network is discussed in the paper. Each server or any group of servers of a given layer of an hierarchical queuing network may be a customer in queuing systems of next layer. Conception of hypernet uses for representing structure of such multi-layer network, which we name as Q-hypernet. Some typical cases of Q-hypernet with possible applications are discussed along...
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