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Contrary information is recorded in the process of Ribonucleic Acid transcription, which is similar to the anti-synchronization process. In this paper, the anti-synchronization of coupled Boolean networks is investigated. Firstly, the definition of anti-synchronization is introduced, and the drive-response Boolean networks dynamics are translated into linear representations with the semi-tensor product...
Consideration was given to efficient mechanisms to reduce dimensions of the problem of seeking the critical power plant nodes built in the classical algorithms for seeking on graph a network endangered by negative actions.
Prefix Scan (or simply scan) is an operator that computes all the partial sums of a vector. A scan operation results in a vector where each element is the sum of the preceding elements in the original vector up to the corresponding position. Scan is a key operation in many relevant problems like sorting, lexical analysis, string comparison, image filtering among others. Although there are libraries...
We consider a plant affected by multiple faults (modeled through a piecewise affine formalism). Using a bank of finite-window observers and an artificially-induced feedback delay we provide an exact fault detection and isolation (FDI) mechanism, integrated into the overall fault tolerant control scheme. We use zonotopic characterizations for the sets of interest in order to provide explicit conditions...
The rapid growth of solar power plants, integrated into United Power System of Russia (UPS), keeps stable over the last several years. The high percentage of solar power plants in the power system inevitably leads to significant increase of power generation output uncertainty, affecting the high-voltage power network. The reserve capacities, which are allocated on conventional power plants to cover...
Time Difference Of Arrival (TDOA) method is very often used inside electronic intelligence systems. TDOA method requires the high signal to noise ratio at the output of the intermediate frequency amplifier for target localization, usually around 12 dB or more. At low signal-to-noise ratio TDOA is inaccurate and especially in case of the active jamming it is nearly impossible. The multilateral TDOA...
Programmers of all experience levels attempt to leverage code snippets with varying success, often as reminders or to learn new skills. To date, little work has explored the specific elements within code snippets that are challenging for novices. Comparing how novices and experts recall code snippets may expose what code elements programmers focus on and inform new approaches for improving examples...
In this work, we generalise the categorical syllogistic logic in several dimensions to a relatively expressive logic that is sufficiently powerful to encompass a wider range of linguistic semantics. The generalisation is necessary in order to eliminate the existential ambiguity of the quantifiers and to increase expressiveness, practicality, and adaptivity of the syllogisms. The extended semantics...
Clustering is an important tool for analyzing gene expression data. Many clustering algorithms have been proposed for the analysis of gene expression data. In this article we have clustered real life gene expression data via K-Means which is one of clustering algorithms. Also, we have proposed a new method determining the initial cluster centers for K-means. We have compared results of our method...
With the development of China's economy, the transformation of the terminal energy consumption structure has been put on the agenda. For this reason, the government proposes the Electric Power Alternative plan to promote electricity consumption and ban the consumption of traditional fossil energy. In view of the existing power instead of the terminal energy evaluation method of low efficiency, low...
This paper presents a research on using Google's Word2Vec model for intertextuality detection in literary texts. Word2Vec is considered a new and powerful Natural Language Processing semantic tool, used for computing text cohesion and similarity between documents. This article analyzes intertextuality in terms of semantic relations between words in novels. A similarity is calculated as a score: the...
This paper shows the relationship between switching/sampling frequency, samples number and sine wave fundamental frequency with the intention of giving a basis to understand how the algorithm was designed. It also punctuates mathematical and implementation constraints considered in the optimization algorithm design. Similarly it explains the numerical methods and procedures used in the algorithm to...
This paper proposes an approach to estimate the ratio between shorted and total turns in interior permanent magnet synchronous machines (IPMSM). When an inter-turn short circuit (ISC) occurs, a particular disturbance affects the motor. The proposed method estimates this disturbance using an observer; this estimated signal is used to obtain the short circuit ratio. The observers are based on a dynamic...
Semantic similarity of texts is one of the important areas of Natural Language Processing, and there are several approaches to measure similarity: statistical, WordNet based, and hybrid. For all of these approaches, a lexical knowledge is used such as corpus or semantic network. WordNet is one of the most preferred and mature lexical knowledge base. In this study, we have focused on measuring semantic...
The mass monitoring data collected by the on-line monitoring of the substation is stored in the Hadoop Distributed File System (HDFS), and the index table structure of the online monitoring data is optimized and stored in the distributed structured database (HBase) Quick access to monitoring data. Based on Hadoop 's online monitoring data processing experiment platform, a fast fault identification...
In order to scientifically and effectively allocate university education resources and improve the efficiency of educational resources, we need to evaluate the efficiency of university education. Delphi, AHP and DEA organically combine to establish a combination of university efficiency evaluation model. The model can not only reflect the preferences of decision makers, but also objectively evaluate...
Map matching, as one of the key steps, is widely used in navigation, estimation of traffic flow, path planning, etc. With the emergency of large traffic track data, the demand for matching speed is becoming higher and higher. This paper describes a method of map matching based on grid index, which is used to quickly get the closest K candidate sections to improve the speed of map matching. When establishing...
Degradation prediction is important for safety related products to avoid failures. When the degradations of multiple parameters of a product is taken into account, traditional univariate degradation prediction method is not applicable, especially when the parameters are correlated. To cope with this problem, Mahalanobis distance is proposed, to combine multiple parameters into one unified index. Then...
We present a novel, low-cost haptic feedback device for spatial design tasks that provides proprioceptive and tactile feedback. It uses the Manus VR datagloves and a custom VR CAD environment. Here, tactile feedback is provided to the index finger through a vibrating motor, which helps users in identifying points on a grid. This grid allows for alignment during the creation and manipulation of geometric...
Automatically generating unit tests is a powerful approach to exercise complex software. Unfortunately, current techniques often fail to provide relevant input values, such as strings that bypass domain-specific sanity checks. As a result, state-of-the-art techniques are effective for generic classes, such as collections, but less successful for domain-specific software. This paper presents TestMiner,...
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