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This paper presents results of development and implementation of Ukrainian Coriolis vibratory gyroscopes (CVG). The main achievement of this development is that low-cost metallic alloy resonator CVG can reach high accuracy to compete with larger size higher cost fiber optic gyroscopes (FOG) and at the same time has higher reliability. Main parameters comparison with one of the FOG is presented. New...
Crowdsourcing can be a cost-effective method for tackling the problem of digitizing historical bio collections data, and a number of crowd sourcing platforms have been developed to facilitate interaction with the public and to design simple "Human Intelligence Tasks". However, the problem of reaching consensus on the response of the crowd is still challenging for tasks for which a simple...
Signature verification has been widely applied in financial and legal transactions for authentication and has attracted much attention in the academia and industries. In this paper, a two-stage cascade verification system is proposed to minimize the cost of wrong verifications. In the first stage, an improved local mean K-Nearest Neighbor is applied with two reliable parameters to measure the confidence...
In the context of stereo matching remaining a classical problem in computer vision, this paper presents a novel stereo matching algorithm based on ground control points using graph cut (GC). The proposed algorithm incorporates local and global stereo methods, initializes the disparity map with a local stereo approach in the first place on purpose of selecting GCPs (Ground Control Points), and applies...
In this paper, we present a supervoxel generation algorithm based on partially absorbing random walks to get more accurate supervoxels in these regions. A novel spatial-temporal framework is introduced by making full use of the appearance features and motion cues, which effectively exploits the temporal consistency in the video sequence. Moreover, we build a new Laplacian optimization structure with...
The goal of this paper is to find an answer that how remote monitoring sensor should be accurate. To achieve the goal, we propose three methods, generalization by three-actor model, design the algorithm of the three-actor and development of RMS simulator. With the three-actor model, we can generalize RMS by interactions among three actors. As the second step, we design the algorithms that how to work...
This paper proposes a novel multi-hop localization algorithm based on bias self-adaptive correction to solve the distance estimation bias problem for underwater wireless sensor networks (UWSNs), which are commonly deployed in complex ocean environments. The principle of our scheme is firstly to exclude the poor anchors with location bias so as to establish the reliable localization sets for the ordinary...
In this paper, a cognitive classification and parameter estimation technique for the UWB through-wall propagation channel is proposed. For an investigated channel, a closed-loop cognitive radio system is proposed and the membership degree of each hypothesis channel is obtained for the channel classification and parameter estimation. The system contains an adaptive wave design technique in the transmitter,...
With the cyber-revolution cause by the development of information technology, the Internet is transfering from Web1.0 Era to Web2.0 Era. As the typical application in Web2.0 Era, social network services are quickly getting popular. In fact, the development of social network services is transferring the information management from offline to online. However, there still exist some problems in its development,...
This paper aims to introduce some key parameters for the tracking application in wireless sensor networks. In this paper, the Nearest Closer protocol has been implemented in Jsim simulation platform, and consequently some useful trade-off analysis results among the density, reliability and lifetime have been obtained. Based on these results, two evaluation models are proposed.
Anomaly detection holds significant promise for automating network operations and security monitoring. Many detection techniques have been proposed. To evaluate and compare such techniques requires up to date datasets, useful truth data and the ability to record the outputs of the techniques in a common format. Existing datasets for network anomaly detection are either limited / aged or lacking in...
Passive Location techniques (PL) are of primary importance in the field of Electronic Warfare. In 2004, Elettronica SpA (ELT) started the design of fast PL techniques using coherent receivers and advanced DSP methods. Such techniques jointly exploit the Frequency Difference Of Arrival (FDOA) and the Time Difference Of Arrival (TDOA) of the incoming signal to achieve reliable estimates of the emitter...
In this paper, standard normal cloud model is adopted to deal with the randomness and fuzziness of power quality comprehensive assessment indicators, through quantifying qualitative indicators. Taking both the subjective and objective factors into consideration, the improved multi-level interactive decision-making mode is chosen to detemine the weights of different indexes, cosidering the two-way...
For the design of dependable and efficient wireless sensor networks it is essential to estimate the achievable packet reception rate (PRR) in the deployment environment. Making such estimation is not trivial as packet delivery success depends on the level of interference present in the deployment area. In this work we show that it is possible to obtain a meaningful representation of the expected interference...
State estimation operation depends on the measurement numbers, types and locations. Therefore, the adoption of an efficient placement method for selecting the required numbers of meters and their location is an essential process for power systems monitoring. In fact, the Phasor measurement Unit (PMU) is, currently, one of the most efficient devices for measuring real-time electrical quantities. Consequently,...
The form processing systems commercially available include a verification step during which a human operator verifies the output provided by the system to ensure 100% accuracy. In order to reduce the time and the cost of such a stage, the OCR engine incorporated into the system provides a reliability measure of the classification to be used for implementing a reject option: in this way only rejected...
This paper proposed a reliability evaluation algorithm for distributed generating system based on sequential state duration sampling method. The power output fluctuation of distributed resources, chemical reaction constraint of energy storage device, and the power exchange strategy with the utility grid are taken into consideration. The method produces the time-varied status of all the elements in...
Fiber Optic Current Transformer (FOCT) realizes current measurement by using the Faraday magneto-optical effect. With advantage of unsaturation, wide dynamic range and immunity to electromagnetic interference etc, FOCT is widely used in smart substation and HVDC transmission, so the accuracy of measurement and reliability of long-term operated have become the focus of attention[1–3]. In this paper...
In this paper, we propose a novel range-free localization algorithm tailored for anisotropic wireless sensors networks (WSN)s. Using the proposed algorithm, each regular or positionunaware node estimates its distances only to reliable anchors or position-aware nodes. The latter are properly chosen following a new reliable anchor selection strategy that ensures an accurate distance estimation making...
For classification of hyperspectral images, particularly using limited training samples, supervised feature extraction is an approach for reduction of dimensionality, overcoming the Hughes phenomenon and increasing the classification accuracies. Classic and popular feature extraction methods such as linear discriminant analysis (LDA) have not good efficiency in small sample size situation because...
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