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RFID systems have been widely deployed for various applications such as supply chain management, indoor localization, inventory control, and access control. This paper deals with the fundamental problem of estimating the number of arriving and departing tags between any two time instants in dynamically changing RFID tag populations, which is needed in many applications such as warehouse monitoring...
To clarify where and when information is represented in the human brain, close investigation of brain activity at high spatiotemporal resolution is important. However, no current neuroimaging method is able to achieve such high spatiotemporal resolution. One attempt to extract necessary information from measured data under the limitation is combination of magnetoencephalography (MEG) source estimation...
This paper addresses the problem of choosing the right sources to solicit data from in sensing applications involving broadcast channels, such as those crowdsensing applications where sources share their observations on social media. The goal is to select sources such that expected fusion error is minimized. We assume that soliciting data from a source incurs a cost and that the cost budget is limited...
In the paper, mathematical support and software of a computer-aided design system of preventive maintenance schedule of radio communication equipment are proposed. Mathematical support is based on a Monte Carlo simulation model of an operational process that realizes multivariate approach of reliability indices estimation. System's software was implemented using C++ language and Matlab instruments...
Condition monitoring data have been widely used to evaluate the health state and reliability, as well as estimate the remaining useful life (RUL) for degrading systems. Among various degradation modeling and RUL estimating methods, Wiener process based models is recognized by both scholars and engineers as the one of the most effect tools, and thus becomes very popular nowadays. In this paper, a prognostic...
The paper proposes a methodology for lifetime estimation of power devices at given applications operating conditions. The active cycling of power devices requires huge testing-time, because the process cannot be accelerated. For this reason, most often, the manufacturers provide information about the lifetime of power devices only for a few specific operating conditions. Most of the current methods...
Photoplethysmography (PPG) at the wrist can be used as a non-invasive technique for estimating the Heart Rate (HR). However, Motion Artifacts (MA) impede this estimation of the HR especially when the subject performs intensive physical exercise. This paper describes the implementation of a fast algorithm based on a statistical approach for extracting the HR from such MA corrupted PPG. Data-sets contain...
For realization of ITS (Intelligent Transport Systems) world, location information is one of important information because the accuracy of the position decides the quality of ITS services. Kinematic positioning has been attracting attention as a high-precision position estimation method of moving objects. However, the acquisition rate of FIX solutions fluctuates according to positioning parameters...
The normal approximation and Monte Carlo simulation methods are widely used in the metrology to evaluate the expanded uncertainty, whereby the latter method is known to be the most robust and reliable. In some cases, however, (e.g., when the probability distribution is not known a priori) different frameworks may be desired as an alternative to the aforementioned techniques. One of them is commonly...
Actor-Critic algorithms have been increasingly researched for tackling challenging reinforcement learning problems. These algorithms are usually composed of two distinct learning processes, namely actor (a.k.a, policy) learning and critic (a.k.a, value function) learning. Actor learning is heavily dependent on critic learning; particularly unreliable critic learning due to its divergence can significantly...
The paper offers an analysis of the distribution of the values of SAIDI and SAIFI indices in nineteen Polish companies dealing with electricity distribution. The data presented concern the assessment of the reliability of electricity supply to over 10.5 million consumers. The paper analyses the influence of the number of remotely controlled switches installed within a MV network on the values of SAIDI...
This paper proposed a reliable method for estimating the neck tilting angle while walking using a 3-axis accelerometer. Conventionally tilting angle is estimated by observing the gravitational force that applies on the sensor in static pose. However, while walking the external acceleration of the movement might heavily affect the estimation result. Therefore, we proposed a simple method based on human...
Parallel connection of inverter modules is a solution to increase reliability, efficiency and redundancy of inverters in Micro-Grid system. Proper load sharing among parallel inverters is a key point. The circulating current among the inverters can greatly reduce the efficiency or even cause instability of the system. In this paper, a control strategy for improving the load sharing performance in...
In this paper, we propose a method to add geotags to Twitter photos which have no geotags. Our objective is localizing a Twitter photo using both textual features and visual features. For localization from texts, we use GeoNLP which estimates location from location names and locationdependent named entity. For localization from visual features, we use image search for a geotagged photo database. As...
For critical aerospace applications that experience a high intensity of single event upsets, the cache of a processor has to be protected against soft errors. This poses a challenge for cache design, since implemented redundancy causes timing and performance degradation of a processor. Sound design decisions should be made based on evaluations at every design stage. In this paper we present a platform-oriented...
Lifetime distribution characteristics of FEOL/MOL/ BEOL time-dependent breakdown (TDDB) with defect clustering conditions were investigated by using a recently proposed two-step probability plot. This method was proposed to estimate parameters of the lifetime distribution function that is based on the defect clustering concept, and has two shape parameters. In the first step, the clustering parameter...
This paper proposes a conceptual model of the Urban Freight Transport (UFT) system to represent and especially to explain the structure of the UFT as well as the connections between its functions. Its practical scope is to provide a formality support for the development of decision-making tools in order to identify the principles of actions to develop and improve the UFT system. This work is split...
Since memory cells tend to become more unreliable as technology scales down, to guarantee reliable operations of circuits/systems, prior to committing a design to manufacturing we need to accurately estimate the lifetime of a memory system by considering system usage. We propose to estimate the lifetime of a memory system using system-level accelerated life tests, where failures are detected with...
Focusing on the possibility for observed results with false or erroneous information of sensors which may affect data fusion estimation, a new algorithm is proposed based on self-support degree and hypothesis testing. It is significant to take the consistent test method to identify and remove the observations of failed sensors by checking on the observed results and then the data fusion algorithm...
Many real world networks are characterized by long delays, frequent path breaks, mobility, and lack of infrastructure. Class of networks which can cope up with such environments are called Delay Tolerant Networks (DTN). Architectures with a separate bundle layer, have been implemented in specific applications such as interplanetary networks (IPNs). However, the addition of bundle layer to existing...
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