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In this paper, real frequency design equations of narrowband impedance matching network with complex terminations are derived; which are used to design L, Pi and T type of networks. In the approach, there is no need to have termin...
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In this paper, real frequency design equations of narrowband impedance matching network with complex terminations are derived; which are used to design L, Pi and T type of networks. In the approach, there is no need to have termination models with component values, it is enough to have measurement values of termination impedances. A few examples are solved to exhibit the have measurement values of termination impedances. A few examples are solved to exhibit the merits and application of the derived equations.
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Hierarchical problem solving is preferred when the problem is overwhelmingly complicated. In such a case, the problem should better be analyzed in hierarchical levels. At each level, some temporary solutions are obtained; then a s...
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Hierarchical problem solving is preferred when the problem is overwhelmingly complicated. In such a case, the problem should better be analyzed in hierarchical levels. At each level, some temporary solutions are obtained; then a suitable decision fusion technique is used to merge the temporary solutions for the next level. The hierarchical framework proposed in this study depends on reutilization or elimination of previous level local agents that together perform the decisions due to a decision-fusion technique: a performance criterion is set for local agents. The criterion checks the success of agents in their local regions. An agent satisfying this criterion is reutilized in the next level, whereas an agent not successful enough is removed from the agent pool in the next level. In place of a removed agent, a number of new local agents are developed. This framework is applied on a fault detection problem.
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In DVB-T/T2 broadcasting single frequency network (SFN) multipath interference (MPI) at the receiver antenna is a critical issue. The capability to elaborate those signals depends on both synchronization strategy used and coded or...
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In DVB-T/T2 broadcasting single frequency network (SFN) multipath interference (MPI) at the receiver antenna is a critical issue. The capability to elaborate those signals depends on both synchronization strategy used and coded orthogonal frequency-division multiplexing (COFDM) modulation properties. An efficient COFDM system requires the guard interval as short as possible and such as to protect the system from the MPI. To cope with this problem a static delay adjustment obtained by fitting the launching time of each broadcast station is introduced so that the time difference of the incoming signals within the reception area falls into the COFDM guard interval. This work investigates the use of advanced simulated annealing to optimize transmission parameters such as the static delay, gain and orientation of sector antennas of DVB-T/T2 transmitters in SFNs. In particular, we identify the static delay adjustment map to maximize the coverage area according to quality of service requirements. The proposed approach has been validated for DVB-T/T2 network planning in the Basque Country (Spain) and Sardinia island (Italy). Different density of transmitters, generalized geography of territory are considered for the best setting of the parameters involved. Reliability studies are included to demonstrate the efficacy of the method.
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In December 2011, Colombia updated its national Digital Terrestrial Television (DTT) standard from DVB-T to DVB-T2, the second generation of the DVB (Digital Video Broadcasting) project. DVB-T2 is the current state-of-the art DTT ...
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In December 2011, Colombia updated its national Digital Terrestrial Television (DTT) standard from DVB-T to DVB-T2, the second generation of the DVB (Digital Video Broadcasting) project. DVB-T2 is the current state-of-the art DTT system in the world, and it brings very significant improvements in terms of capacity, robustness and flexibility compared with its predecessor. The case of Colombia is very special because it was the first country to deploy DVB-T2 with 6 MHz channelization and because the DVB-T2 networks were deployed from scratch without any constraint imposed by existing DVB-T infrastructure. This paper analyzes potential DVB-T2 transmission modes to optimize existing DTT network designs of Colombia, originally made for DVB-T, analyzing the trade-offs between capacity, coverage level and Single Frequency Network (SFN) size. Network planning results has been performed with a professional DTT network-planning tool based on the three first deployment phases of the DTT network of the public national TV broadcaster RTVC. Results obtained fully justify the decision of adopting DVB-T2. Compared with the initial DVB-T design, DVB-T2 can increase the national covered population up to 7.3% or offer 70.2% more of capacity transmission, or increase the SFN size up to 135% keeping the total power transmission and the geographic distribution of the transmitters
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We study the solutions of the T -system for type A, also known as the octahedron equation, viewed as a 2 + 1-dimensional discrete evolution equation. These may be expressed entirely in terms of the stepped surface over which the i...
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We study the solutions of the T -system for type A, also known as the octahedron equation, viewed as a 2 + 1-dimensional discrete evolution equation. These may be expressed entirely in terms of the stepped surface over which the initial data are specified, via a suitably defined flat G L_n connection which embodies the integrability of this infinite rank system. By interpreting the connection as the transfer operator for a directed graph or network with weighted edges, we show that the solution at a given point is expressed as the partition function for dimers on a bipartite graph dual to the "shadow" of the point onto the initial data stepped surface. We extend the result to the case of other geometries, such as that of the evaporation of a cube corner crystal, and to a reformulation of the Kenyon–Pemantle discrete hexahedron equation.
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This paper mainly studies the hardware implementation of a fully connected neural network based on the 1T1R (one-transistor-one-resistor) array and its application in handwritten digital image recognition. The 1T1R arrays are prep...
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This paper mainly studies the hardware implementation of a fully connected neural network based on the 1T1R (one-transistor-one-resistor) array and its application in handwritten digital image recognition. The 1T1R arrays are prepared by connecting the memristor and nMOSFET in series, and a single-layer and a double-layer fully connected neural network are established. The recognition accuracy of 8 × 8 handwritten digital images reaches 95.19%. By randomly replacing the devices with failed devices, it is found that the stuck-off devices have little effect on the accuracy of the network, but the stuck-on devices will cause a sharp reduction of accuracy. By using the measured conductivity adjustment range and precision data of the memristor, the relationship between the recognition accuracy of the network and the number of hidden neurons is simulated. The simulation results match the experimental results. Compared with the neural network based on the precision of 32-bit floating point, the difference is lower than 1%.
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All Member States of the European Union have to contribute to the development of Trans-European Networks (TEN). This has been determined in the EU Treaty. National networks should be developed into one European network, supported ...
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All Member States of the European Union have to contribute to the development of Trans-European Networks (TEN). This has been determined in the EU Treaty. National networks should be developed into one European network, supported by the TEN policy. For transport this policy has been laid down in Regulation (EU) No. 1315/20131 for the Trans-European transport network.This paper will show the criteria to determine if and when sections of TEN-T network meet the requirements of the TEN-T Regulation with present policies. In the paper we will also address the process that has been ongoing since the beginning of 2014 in which member states, the Commission, consultants and different advisory boards have participated.In this paper we deal with the opportunities and risk for member states and possible ways of enforcement to attain the goal of completion of the TEN-T.The requirements across the EU, especially with regard to the core network, contribute to the quality of the transport infrastructure in the EU reaching a higher level. Modern, more efficient hinterland connections are important to the European economy. Furthermore the requirements aim at a higher percentage of sustainable transport.It is also important that requirements are set for the comprehensive network in the long term. Because 2050 is set so far in the future, the risk is that not much progress will be made in that direction in the coming decennium. With differences in infrastructure planning schemes within the EU this risk is imminent.On the one hand the Regulation offers Member States flexibility for implementation. On the other hand there is a risk that this will result in a system that is not interoperable. It is important to keep an eye on how EU countries deal with the requirements set by the Regulation on one and the same corridor. If infrastructure is not adapted to the requirements set by the Regulation, or not adapted in time, the European Commission can start up a procedure against Member States that can lead to a European Court case and to a conviction.Finally, it is important to note that the network is not defined for all eternity. Adaptations are possible if, based on Eurostat, it appears that the required volumes have not been reached after a number of years. An evaluation will take place of the core network taking into consideration national implementation plans and future extensions.For each corridor a Final report in the form of a work plan was produced In the process with the member states that covered the whole year of 2014. The Final Report provides a summary of the results of the Corridor Analysis with the characteristics of multimodal transport infrastructure as well as the market-related transport flows, the corridor development objectives and the implementation schedule. It also comprises all project information provided and coordinated with the Member States. It provides a profound analysis of the projects regarding scope of measures, maturity/status of work as well as costs and funding.
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Nowcasting represents a short-term weather forecast of how the atmospheric state will evolve during the next time period, typically less than two hours. It is vital for generating society-level emergency alerts in order to take ti...
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Nowcasting represents a short-term weather forecast of how the atmospheric state will evolve during the next time period, typically less than two hours. It is vital for generating society-level emergency alerts in order to take timely actions and responses to potential disasters. The objective of the paper is to improve upon current nowcasting methods by applying a Deep Learning model that uses Convolutional Long-Short Term Memory Networks on a combination of satellite data. It is proposed a model ConvS Now for short-term prediction of satellite images that would be useful for precipitation nowcasting. The proposed model was trained and evaluated on satellite imagery collected by EUMESAT's Meteosat-11 satellite utilizing the Severe Storms RGB product. The experimental results performed a subset of the Meteosat-11 data spanning Europe demonstrate that this model can enhance weather short-term forecasting, reduce costs and time, and improve the general quality of predictions, as a normalized mean of absolute errors of 1.6% was attained, outperforming every other baseline approaches considered for comparison. A relative improvement of more than 30% has been achieved by the ConvS Now compared to the baselines, our proposed model being able to capture the spatio-temporal features of the weather evolution.
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A system is t/t-diagnosable if, provided the number of faulty processors is bounded by t, all faulty processors can be isolated within a set of size at most t with at most one fault-free processor mistaken as a faulty one. The pes...
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A system is t/t-diagnosable if, provided the number of faulty processors is bounded by t, all faulty processors can be isolated within a set of size at most t with at most one fault-free processor mistaken as a faulty one. The pessimistic diagnosability of a system G, denoted by t(p)(G), is the maximal number of faulty processors so that the system G is t/t-diagnosable. The pessimistic diagnosability of alternating group graphs AG(n) (Tsai, 2015); BC networks (Fan, 2005; Tsai, 2013); the k-ary n-cube networks Q(n)(k), (Wang et al., 2012); regular graphs including the alternating group networks AN(n) (Hao et al., 2016) etc. But most of these results are about networks G with cn(G) = k + 2 and k >= 3, t(p)(S-n,S-k) = n + k - 3 for n >= k + 2 and k >= 3, and t(p)(BHn) = 2n for n >= 2. As corollaries, the pessimistic diagnosability of the known results about AG(n) and AN(n) is obtained directly. (C) 2016 Elsevier B.V. All rights reserved.
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Diabetes is a chronic, metabolic disease characterized by high blood sugar levels. Among the main types of diabetes, type 2 is the most common. Early diagnosis and treatment can prevent or delay the onset of complications. Previou...
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Diabetes is a chronic, metabolic disease characterized by high blood sugar levels. Among the main types of diabetes, type 2 is the most common. Early diagnosis and treatment can prevent or delay the onset of complications. Previous studies examined the application of machine learning techniques for prediction of the pathology, and here an artificial neural network shows very promising results as a possible valuable aid in the management and prevention of diabetes. Additionally, its superior ability for long-term predictions makes it an ideal choice for this field of study. We utilized machine learning methods to uncover previously undiscovered associations between an individual’s health status and the development of type 2 diabetes, with the goal of accurately predicting its onset or determining the individual’s risk level. Our study employed a binary classifier, trained on scratch, to identify potential nonlinear relationships between the onset of type 2 diabetes and a set of parameters obtained from patient measurements. Three datasets were utilized, i.e., the National Center for Health Statistics’(NHANES) biennial survey, MIMIC-III and MIMIC-IV. These datasets were then combined to create a single dataset with the same number of individuals with and without type 2 diabetes. Since the dataset was balanced, the primary evaluation metric for the model was accuracy. The outcomes of this study were encouraging, with the model achieving accuracy levels of up to 86% and a ROC AUC value of 0.934. Further investigation is needed to improve the reliability of the model by considering multiple measurements from the same patient over time.
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