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The modeling of speech can be used for speech synthesis and speech recognition. We present a speech analysis method based on pole-zero modeling of speech with mixed block sparse and Gaussian excitation. By using a pole-zero model, instead of the all-pole model, a better spectral fitting can be expected. Moreover, motivated by the block sparse glottal flow excitation during voiced speech and the white...
This article proposes a practical new method to obtain the moment of inertia of UAV, named ARES. The ARES method simultaneously determined all the elements of UAV's Tensor of Inertia, i.e. the moments and the products of inertia through algebraic solving. The ARES method directly uses the UAV Flight Data to accommodate accuracy issues of modeling such as vehicle's geometrical imperfection; manufacturing...
Human action classification, which is vital for content-based video retrieval and human-machine interaction, finds problem in distinguishing similar actions. Previous works typically detect spatial-temporal interest points (STIPs) from action sequences and then adopt bag-of-visual words (BoVW) model to describe actions as numerical statistics of STIPs. Despite the robustness of BoVW, this model ignores...
The paradigm shift in construction cost estimation is attributed to technological innovations in the spheres of building information modelling (BIM) and industrialised building systems (IBS). Majority of construction projects experience cost overruns which affect project objectives. The outcome of cost overruns invariably leads to disputes and further delays. Similarly, cost estimators resistance...
This paper presents a framework of simulation-based design for robotic care devices developed to reduce the burden of caregiver and care receivers. First, physical interaction between the user and device is quantitatively estimated by using a digital human simulator. Then we introduce a method for optimizing the design parameters according to given evaluation criteria. An example of trajectory optimization...
We present a method for developing executable algorithms for quantitative cyber-risk assessment. Exploiting techniques from security risk modeling and actuarial approaches, the method pragmatically combines use of available empirical data and expert judgments. The input to the algorithms are indicators providing information about the target of analysis, such as suspicious events observed in the network...
The proposed framework, called Steered Mixture-of-Experts (SMoE), enables a multitude of processing tasks on light fields using a single unified Bayesian model. The underlying assumption is that light field rays are instantiations of a non-linear or non-stationary random process that can be modeled by piecewise stationary processes in the spatial domain. As such, it is modeled as a space-continuous...
An approach, verifying class diagram correspondence to SOLID Design Principles, is proposed in this paper. SOLID is an acronym, encapsulating the five class diagram design principles namely: Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation and Dependency Inversion. To check whether a class diagram meets to SOLID, its analytical representation is analyzed by means of predicate...
Using the minimum number of broadcasts to flood information in a vehicle network so that the maximum number of vehicles receives the information is a critical issue. Up to now, no research reports show the relationship between broadcast radius and success rate, the one-hop broadcast efficiency (i.e., the ratio of nodes that successfully received nodes to all nodes within the broadcast range). Determining...
Convergence of Gibbs fields modeling procedures is evaluated. Evaluation of convergence time is based on analysis of a dynamics of random field realizations space-correlation characteristics during the process of Gibbs fields modeling. Gibbs fields modeling procedure stop time is estimated.
Memcached is a widely used in-memory caching solution in large-scale searching scenarios. The most pivotal performance metric in Memcached is latency, which is affected by various factors including the workload pattern, the service rate, the unbalanced load distribution and the cache miss ratio. To quantitate the impact of each factor on latency, we establish a theoretical model for the Memcached...
The objective of this paper is to propose the rule-based algorithmic approach for solving problems of faults influence on the service quality in access networks. In this paper the graph oriented model for network and communication services representation, the rule-based system and corresponding output mechanism, the algorithms for the faults impact analysis based on graph traversal schemes are proposed...
The increasing interest in vehicular communications draws attention to scalability and network congestion problems and therefore on techniques to offload the traffic, typically carried through the infrastructure, to the Vehicle-to-vehicle (V2V) network. Floating content (FC) represents a promising paradigm to share ephemeral content without direct support from infrastructure. It is based on constraining...
In the present study we conduct analysis of methods and models of origin destination matrices reconstruction with regard to urban transport processes, we point out their advantages and disadvantages. As a result of the analysis the relational method of OD matrices reconstruction is chosen and the trilinear model (EVA) is considered as the most applicable for OD matrices reconstruction. To show the...
Location Model is a classification model that capable to deal with mixtures of binary and continuous variables simultaneously. The binary variables create segmentation in the groups called cells whilst the continuous variables measure the differences between groups based on information inside the cells. It is important to note that location model is biased and even impossible to be constructed when...
The term structure of interest rate is an important foundation for studies such as asset pricing and risk management. In this paper, the sensitivity of parameters in the NSS model of the yield curve is studied with the help of genetic algorithm, and the impact of the relevant parameter setting on the fitting precision of the model is also discussed. Based on the positive analysis of Chinese Treasury...
A problem of geopolitical actor strategy quality estimation (socio-economic, military-political etc.) with a view to increasing or decreasing the assets market value is formalized and solved in the paper. Aiming to solve this problem the random process of assets market value changes is introduced as random function X(t). The geopolitical actor assets market value changes are represented as a random...
The problem of modeling of the integrated system of monitoring of the sea water area ensuring safety of navigation is considered. The model of monitoring system is developed as the design automation system and efficiency estimation system of hydroacoustic means of underwater observation and also as the decision-making support system of controlling the observation means.
In this paper two Soft Sensors, for the estimation of pollutants in the output flow of a Sour Water Stripping plant, are described. The plant operates in a large refinery in Italy. The Soft Sensors have been implemented by non linear data-driven approaches, by using neural networks. In order to face the issue of different sampling intervals of process and quality variables, a deep learning approach...
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