Geometric estimates of variations in space geodetic data

Well-known statistical parameters have some disadvantages when analyzing space geodetic data. Geometric parameters are proposed here for estimating the variation properties of samples for various discrete datasets. The proposed parameters are logically related to each other and are based on the simplest well-known statistical parameters; they do not depend on the type of distribution of the sample under study. “Variation asymmetry” shows the shift of the arithmetic mean relative to the center of the variation interval in the units of the studied sample. “Density of variation” characterizes the level of average variability in sample units. This parameter has several times greater discriminatory sensitivity to extremely different types of variations than linear and standard deviations. The relative parameter “proportion of maximum density” shows the closeness of variation to a uniform distribution in the ranked sample and complements the indicator of variation density. An algorithm for separating different structural levels of the useful signal from emissions (noise) is proposed here based on the calculation of geometric characteristics. The iterations of dividing the sample into structurally homogeneous segments can be stopped at the level of the proportion of maximum density ≥0.9 when analyzing real GPS coordinates.

Reachable Set and Robust Mixed Performance of Uncertain Discrete Systems with Interval Time-Varying Delay and Linear Fractional Perturbations

In this paper, the mixed performance and reachable set of uncertain discrete systems with slow variation interval time-varying delay are considered. The original uncertain discrete systems with interval time-varying delay are first transformed into a switched system. Then, the proposed improved results are used to guarantee the stability and reachable set of the uncertain system with slow variation interval time-varying delay. The mixed performance (H2/H∞) can be derived in the same formulation simultaneously. The design scheme of robust switched control is also developed in this paper. The gains of the controller can be designed and switched to achieve stabilization and mixed performance of the system according to the delay value. Some comparisons with published results are made to show the main contribution of the proposed approach. Finally, some numerical examples are illustrated to show the main results.

Interval Estimation of Motion Intensity Variation using the Improved Inception-V3 Model

In the process of acute resistance exercise, repeated variation in motion intensity can lead to muscle fatigue and heart failure. Therefore, acquiring the interval of motion intensity variation in time the training pattern and effect can be improved by acquiring the interval of motion intensity variation. In order to achieve this goal, an improved Inception-V3 model is proposed for motion intensity variation interval estimation. The MIVIE(Motion Intensity Variation Interval Estimation) dataset consisting of Strong, Moderate, Weak groups achieve centralized and uninterrupted collection. Then, the multi-modal fusion vectors of time-frequency eigenvalues are stacked up to 227 × 227 grayscale images fed into improved inception-CNN. Finally, the manipulator's trajectory optimization is completed under the guidance of ATO-DQN (Adaptive Trajectory Optimization-Deep Q Network) algorithm based on the motion intensity interval estimation. This work can improve the non-stationary effect of motor speed caused by changes in motion intensity during rehabilitation, which can better guarantee the safety of patients.

The Malignant Role of Exosomes as Nanocarriers of Rare RNA Species

Nowadays, advancements in the oncology sector regarding diagnosis methods allow us to specifically detect an increased number of cancer patients, some of them in incipient stages. However, one of the main issues consists of the invasive character of most of the diagnosis protocols or complex medical procedures associated with it, that impedes part of the patients to undergo routine checkups. Therefore, in order to increase the number of cancer cases diagnosed in incipient stages, other minimally invasive alternatives must be considered. The current review paper presents the value of rare RNA species isolated from circulatory exosomes as biomarkers of diagnosis, prognosis or even therapeutic intervention. Rare RNAs are most of the time overlooked in current research in favor of the more abundant RNA species like microRNAs. However, their high degree of stability, low variability and, for most of them, conservation across species could shift the interest toward these types of RNAs. Moreover, due to their low abundance, the variation interval in terms of the number of sequences with differential expression between samples from healthy individuals and cancer patients is significantly diminished and probably easier to interpret in a clinical context.

Novel Delay-Decomposing Approaches to Absolute Stability Criteria for Neutral-Type Lur’e Systems

The problem of absolute stability analysis for neutral-type Lur’e systems with time-varying delays is investigated. Novel delay-decomposing approaches are proposed to divide the variation interval of the delay into three unequal subintervals. Some new augment Lyapunov–Krasovskii functionals (LKFs) are defined on the obtained subintervals. The integral inequality method and the reciprocally convex technique are utilized to deal with the derivative of the LKFs. Several improved delay-dependent criteria are derived in terms of the linear matrix inequalities (LMIs). Compared with some previous criteria, the proposed ones give the results with less conservatism and lower numerical complexity. Two numerical examples are included to illustrate the effectiveness and the improvement of the proposed method.

Analysis of the dependence of the parameters of the generalized Peukert’s equations on the capacity for nickel-cadmium batteries

In this paper, the use possibility was analyzed of the most wellknown generalized Peukert’s equations, for computing of released capacity of nickel-cadmium batteries at different discharge currents. It was proved that these equations correspond well to experimental data throughout the entire variation interval of discharge currents. It was shown that the parameter n does not depend on a nominal capacity of a batteries under examination. Farther, it was shown that a functional dependence of a battery’s released capacity with a discharge current is determined by the statistical phase transition subjected to the normal distribution law.

Operation method of allowing variation interval of downstream water level in the middle route of South-to-North Water Diversion Project

To realize demand-oriented operations in the middle route of South-to-North Water Diversion Project, this paper proposed a pool operation method that a variation interval of water level at the upstream of the check gate is allowed. In this method, water users’ demand for flow changes can be satisfied as much as possible. Accordingly, downstream water depth is kept to fluctuate within a certain range, which is determined considering the canal safety, the operation frequency of check gates and the pool delay. The method is tested using the self-developed simulation platform for the middle route of South-to-North Water Diversion Project, which is established based on the Saint-Venant equations and programmed with the language Fortran. Results show that the flow changes demanded by water users, either increase or decrease, can be achieved effectively, while the water level variations can meet the restrictions for canal operation safety, and the frequency of gate adjustment is practically acceptable as well. Therefore, the operation method of allowing variation interval of downstream water level is suitable in the middle route of South-to-North Water Diversion Project at the current stage.

Robust Control with Genetic Algorithms of a Permanent Magnet Synchronous Machine Driving an Elastic Load Variable Inertia

<p class="zhengwen"><span lang="EN-GB">The goal of this work is to contribute to the conception rules of the synthesis law control in order to give them a robust character. We study the issue of controlling of the synchronous motor driving a mechanical load. This load, driven by an elastic joint, presents a variable and bounded inertia. The synthesis of simple correctives and methods of the best corrective in the parameter variation interval are presented. In this paper, the synthesis rules of a PID regulator on which we added an optimization iterative method based on the system behavior expertise and genetic algorithm. This phase made it possible to give simple rules of synthesis and the parameterization of optimization method so as to find the three optimal degrees of correction freedom. The results are validated by simulation by means of MATLAB Simulink and present a better dynamic performance of the proposed control law.</span></p>

Sensitivity Analysis to Attribute Values Based on Grey Correlation in Multiple Attribute Decision Making

With respect to the multiple attribute decision making problems based on grey correlation, sensitivity analysis is proceeded to attribute values, and analysis model as well as search algorithm are given to compute the attribute variation interval which maintain the original rank. Finally, a numerical example was presented.

Long term researches regarding the irrigation influence on sugarbeet crop inthe Crisurilor Plain

The paper is based on the researches carried out in the long term trial placed on the preluvosoil from Agricultural Research and Development Station Oradea, Crisurilor Plain in during 1976–2012. The soil water reserve in 0–75 cm depth decreased bellow easily available water content every year and in 32% of years the soil water reserve decreased bellow wilting point. For optimum water supply an irrigation rate of 2665 m3 ha-1 (variation interval 500–5090 m3 ha-1) was needed. The irrigation determined improving of water/temperature + light report (Domuta climate index) with 47.4% in average in the period May–September. A statistically very significant connection was quantified between this indicator and the yield. Daily water consumption increased in the irrigated variant, the biggest difference in comparison with unirrigated variant was registered in August, 86% in comparison with unirrigated variant. As consequence, the value of the total water consumption increased with 50%, variation interval was 11–154%. The irrigation covered 37.8% of total water consumption, the variation interval was 8.3%–67.9%. The yield level of the sugarbeet increased in average with 61%, the variation interval was 9–227%. Standard deviation was lower in the irrigated variant and this emphasizes an improve of the yield stability with 25.1%. The sugar content of the sugarbeet roots from irrigated variant increased statistically very significantly in the droughty years and differs significantly in the rainy years. Water use efficiency increased in the irrigated variant with 7% and irrigation water use efficiency was between 7.9 kg yield gain 1 m-3 irrigation water and 17.4 kg yield gain 1 m-3 irrigation water. The positive influence of the irrigation on microclimate, water consumption, yield level, stability and quality and on water use efficiency sustain the need of the irrigation in sugarbeet from Crisurilor Plain.