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In this paper, we demonstrate the performance of low complexity soft interference cancellation minimum mean-squared error (SIC-MMSE) detection method for a turbo coded multiple-input multiple-output (MIMO) system with joint iterative detection and decoding (JIDD) principle. The main computational burden of SIC-MMSE detector lies in the multiple inverse operation of the filtering process and maximum...
With the application of a variety of high-tech, life cycle cost of aviation equipment increased substantially. For the life cycle cost of aviation equipment, the costs of using phase account for more than 50% of total costs. Therefore, the development of aviation industry call for a method to evaluate and predict the use phase affordability of aviation equipment. This paper defines the definition...
Fingerprint enhancement is a critical step in fingerprint recognition systems. There are many existing contact-based fingerprint image enhancement methods and they have their own strengths and weaknesses. However, image enhancement approaches that can be used for contactless fingerprints are rarely considered and the number of such approaches is limited. Furthermore, the performance of existing contactbased...
In work problems of detection of sources of radio signals in rooms of room type against various hindrances as are regular also noise, and powerful pulse are considered. Robastnymulti-threshold approach for increase of detection of informative signals is offered. Problems of the choice of quantity and values of these thresholds are discussed. Specifics of application of this approach for a case of...
This study analyzed the process of reliability assessment for a turbine-driven auxiliary feedwater (AFW) pump according to the date of a domestic nuclear power plant, starting from the onsite data collection up to the analysis of these data, and evaluation of the reliability parameter. The content includes scope and boundary definition of a turbine-driven AFW pump, reliability data collection and...
The accurate estimation of Mean Time Between Failures (MTBF) may be necessary under small sample size conditions and can be difficult. This article proposes combinations of two methods to calculate the cumulative probability using hierarchical Bayesian estimation and the mean rank order method, and two approaches to estimate parameters of the Weibull distribution using the ε-support vector regression...
In industry and engineering, reliability analysis of complex systems is one of the most concerning problems. System reliability depends on the reliability of components and system structure. Due to high testing costs, only component data is available and sample sizes are strictly limited. In this article, we describe a new form of WCF expansion for determining the confidence bounds of system reliability...
Reliability assessment of energy systems integrated with renewable sources, e.g. wind farms, has been studied by several researchers recently. To deal with uncertainties in the energy sources and the load, a number of methods have been proposed to model and predict their behavior. Different from the existing approaches which are mainly off-line, in this paper we propose two efficient methods for optimal...
There are many important regression problems in real-world brain-computer interface (BCI) applications, e.g., driver drowsiness estimation from EEG signals. This paper considers offline analysis: given a pool of unlabeled EEG epochs recorded during driving, how do we optimally select a small number of them to label so that an accurate regression model can be built from them to label the rest? Active...
This state of the art discusses the problem of reliability estimation for highly reliable stochastic flow networks. There are algorithms to compute this reliability exactly, but they have exponential complexity, making the problem intractable for large or even medium sized networks. In this case Monte Carlo simulation is a simple and straightforward alternative tool to provide a reliability estimation...
Cache is one of the most susceptible microarchitectural components against soft errors since cache memory not only takes up the majority of chip area but also is frequently accessed by other microarchitectural components. Several protection techniques have been proposed in order to improve the cache reliability. These cache protections can significantly affect the overall performance of the entire...
A reliability model of components of bogie system including wheel and axle boxes device, suspension device, frame device, foundation brake device and driving device is proposed based on the real data of the CRH2 high speed train and the universal reliability model. Furthermore, Million kilometers' mean failure rate and mean distances between failures was computed. Reliability index of each component...
Indoor localization is a key enabling technology for numerous location based services (LBS). A promising indoor localization technique is location fingerprinting (LF), having the major advantage of exploiting already existing radio infrastructures. LF can accurately estimate the user's location providing reliable RF fingerprints, that are unique and stable over time, are available. We propose a method...
In this paper, we propose a tourism category classification method based on estimation of reliable decision. The proposed method performs tourism category classification using location, visual, and textual tag features obtained from tourism images in image sharing services. As the biggest contribution of this paper, the proposed method performs successful classification based on two classification...
Constraint-based sequential pattern mining algorithms discover sequential patterns among from sequence data and the resultant sequential patterns satisfy a given constraint. For time stamped sequences duration and/or gap constraints can be applied to obtain corresponding constraint-based sequential patterns. One of the shortcomings of existing algorithms is the requirement to pre-specify a time window...
The estimation of environmental contours of extreme sea states characterized by significant wave height and energy period for the purposes of reliability-based offshore design is a problem that has been tackled in many different ways. Many of the methods used to generate such contours rely on parametric approaches that require an a priori assumption of the relationship between the variables of interest...
Software Projects are developed with the prior requirements and should be capable to complete on time under a fixed budget but it gets late to delivered, gets over-budget and even not able to meet user expectations. In agile approach, the estimation of software depends on expert opinion or on any historical data which is used as the input to previous methods like planning poker. The accuracy in estimation...
Power converters represent one of the highest failure rates in the wind turbine. Therefore converter manufacturers perform burn-in tests to prevent shipping of faulty converters. Recent developments in junction temperature estimation, based on accurate online IGBT collector-emitter voltage measurements, allow for thermal stress estimation of the IGBT modules. This is utilized to detect infant mortalities...
In this paper a new algorithm for indoor localization, namely Fuzzy Discrete Multilateration (FDM), is proposed. As the name suggests, it elaborates data from any number of transmitters (anchor nodes), and returns the estimated position of an unknown receiver. Furthermore, two cascade fuzzy inference systems are employed to evaluate the reliability of the data gathered from each beacon. The algorithm...
In this paper, an algorithm for accurate distance estimation of a vehicle to a road side unit (RSU) in urban multipath environments is presented. The algorithm is based on spatial filtering using a uniform circular array (UCA) antenna and a cross correlation based time delay detection. The time base for the cross correlation is built using Global Navigation Satellite System (GNSS) based positioning...
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