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Traditionally, the using an analog-to-digital conversion demands agreeing with the requirements of Shannon, Nyquist and Kotel'nikov theorem. According to this theorem, the frequency of the conversion should, at least, twice exceed the upper boundary frequency of the spectrum of the converted signal. It is also traditionally considered that the presence of high-frequency noises of more than one quantization...
We propose an action parsing algorithm to parse a video sequence containing an unknown number of actions into its action segments. We argue that context information, particularly the temporal information about other actions in the video sequence, is valuable for action segmentation. The proposed parsing algorithm temporally segments the video sequence into action segments. The optimal temporal segmentation...
This paper deals with the voltage and frequency restoration problem for a droop controlled islanded microgrid (MG). A consensus based distributed control is proposed for voltage/frequency restoration of MG which allows all the distributed generator (DG) unit voltage magnitude and operating frequency to converge to the nominal values even with different communication topologies. The proposed control...
The main task of modern electric networks is the reliability of electricity supply to consumers, as well as in optimizing voltage levels. One of the possible measures to increase reliability is the construction of a rational topology of the electrical network and the use of distributed generation in the form of alternative sources of electricity. Such networks allow you to dynamically adjust the parameters...
Network Functions Virtualization (NFV) is a new network paradigm that has been strongly promoted from both scientific community and telecom industry, where network functions (NFs) such as firewalls, load balancers, gateways among others, are virtualized, isolated from middleboxes and housed on one or more industry standard computing nodes. One of the main challenges for service providers when they...
The non-iterative algorithm that reveals the general physical basis of measuring processes and instrumental (computer) computations is proposed and investigated. The algorithm is based on the previously proposed postulate and consists in finding the optimal, locally defined width of the averaging interval. The optimal width of the interval provides the smallest error when measuring or computing the...
The multilayer perceptrons (MLPs) have been widely used in many communication applications, however, the learning process of the multilayer perceptrons often becomes very slow, which is due to the existence of the singularities in the parameter space. As the singularities significantly affect the learning dynamics of MLPs, the standard gradient descent method is not Fisher efficient. In order to overcome...
This paper investigates the leader-following consensus problem of the switched multi-agent systems with general second-order dynamics. In the switched systems, we consider two subsystems, CT (continuous-time) subsystems and DT (discrete-time) subsystems. A linear distributed control algorithm is proposed for leader-following consensus in the multi-agent systems with switched dynamics. Moreover, based...
The ability to continuously detect the interesting subgraph patterns over dynamic graph-structured data in real time is crucial to many applications. Generally, the edges of such subgraphs have temporal relation. In this paper, the stream model is used to describe the dynamic graph, in which the edges are processed in chronological order. In order to reduce the intermediate results, we propose a topological...
A new methodology for image synthesis based on two cooperative training ConvNets is proposed. Two generative ConvNets and unsupervised joint learning are designed to effectively reflect the characteristics of real scenery and image pattern. Every ConvNet is directly derived from the discriminate ConvNet and has the potential to learn from big unlabeled data, either by contrastive divergence. One ConvNet...
This paper demonstrates the difference in rules and their impact in procedural generation of item in role-playing game. The main aims of this project are to: create a wave challenge-based game prototype that generates 2 items using the two rule-based randomized algorithms per wave, and identify the reasons in rules that affect the user's preference of item. Experimental results demonstrate success...
In reality, traffic demands are quite random, which usually deviate from the application conditions of a certain kind of signal control method and compromise the efficiency of traffic control. To solve such a problem, taking a typical isolated intersection as the research object, the adaptive control of an isolated intersection based on a complete phase group is proposed, which can automatically optimize...
In this paper, a recursive filtering method based on Kalman filter is proposed for the sensor delay in each state measurement of power system. Due to sampling frequency in the power system is generally high in milliseconds, the network topology is unchanged and the system state does not change much, therefore the system state at the next moment can be approximately linear relationship with the current...
The BROGO algorithm has been recently presented for Leader Election in Wireless Sensor and IoT Networks, where after finding a spanning tree of a network, each leaf will route a message through its branch to the root in order to determine the leader in that branch. The root will then elect the global leader among the received branch leaders. The main drawback of this algorithm is a possible failure...
A considerable number of indoor positioning systems have been proposed for large-scale environments that extend over several meters. However, there has been less focus on designing an indoor localization system for confined environments where the requirements of reliability and precision are high. The approach discussed in this paper employs a hybrid technique where Received Signal Strength Indicator...
There has been intense research activity in the last decade, in the field of Ubiquitous Computing, since it is a model of interaction, which integrates the processing of information with the peoplés daily activities. This current study focuses on the implementation of a three-tier architecture application of geolocation in real time through mobile devices, in order to facilitate the mobility of people...
In the operation of a photovoltaic system, one of the most important issues is absorbing maximum power from the PV array under continuous and rapid changing irradiance condition. The sampling points obtained at different moments are not on the PV characteristic curve with the same irradiance, so the MPPT strategy may misjudge. In this paper, a novel method to track the MPP is presented, which is based...
The world is witnessing a remarkable increase in the usage of video surveillance systems. Besides fulfilling an imperative security and safety purpose, it also contributes towards operations monitoring, hazard detection and facility management in industry/smart factory settings. Most existing surveillance techniques use hand-crafted features analyzed using standard machine learning pipelines for action...
Many web-based online learning systems focus more on textual and/or image based content delivery without including experiment systems, or if included they are usually operated under pre-defined conditions, such as fixed scenarios and pre-determined delivery orders. These limitations hinder personalized learning and collaboration between students and discourage student engagement. To circumvent these...
Network Planning and Fault Location, Isolation and Supply Restoration (FLISR) are important functions of power distribution automation systems. We model these functions as a combinatorial optimization graph problem called the Capacitated Spanning Forest Problem (CSF), defined as the problem of creating a spanning forest with a capacity constraint on each tree bounding its total weight. We present...
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