Second-Order Flocking Control with Communication Noise

2014 ◽  
Vol 511-512 ◽  
pp. 1077-1080
Author(s):  
Huan Xin Peng ◽  
Bin Liu ◽  
Wen Kai Wang
Keyword(s):  
Second Order ◽  
Consensus Algorithm ◽  
Distributed Consensus ◽  
First Order ◽  
Convergence Performance ◽  
The Impact ◽  
Better Than

In the paper, we analyze the distributed flocking algorithms with communication noise. Under the Boid model, flocking algorithm with communication noise is easy to diverge. In order to improve the convergence performance of flocking algorithms with communication noise, and overcome the impact brought by communication noise on flocking algorithm, in the paper, a distributed flocking algorithm based on SO-DCT distributed consensus algorithm is proposed. The second-order flocking algorithm under the Boid model is analyzed, and simulations are done. Results show that the second-order distributed flocking algorithm can reach cohesion, and its convergence performance is better than that of the first-order distributed flocking algorithm, moreover, the impact of communication noise on the second-order flocking algorithm is smaller.

Second-Order Consensus Filtering Algorithm

2012 ◽  
Vol 591-593 ◽  
pp. 1621-1624
Author(s):  
Huan Xin Peng ◽  
Wen Kai Wang
Keyword(s):  
Second Order ◽  
Consensus Algorithm ◽  
Distributed Consensus ◽  
Filtering Algorithm ◽  
First Order

In order to improve the accuracy of consensus filters, in this paper, we propose a second-order consensus filtering algorithm based on the pseudo two-hop distributed consensus algorithm, we analyze the performance of the second-order consensus filtering algorithm, and prove that the second-order consensus filtering algorithm is convergent. We analyze the filtering accuracy of the second-order consensus filtering algorithm, and make a comparison for filtering accuracy between the first-order consensus filtering algorithm and the second-order consensus filtering algorithm, simultaneously, simulation is proposed, the results show the second-order consensus filtering algorithm is convergent, and the filtering accuracy is higher than that of the first-order consensus algorithm.

Optimal Capacitors Placement of Distribution Systems Using 2nd Order Power Loss Sensitivity Analysis and Hierarchical Clustering

2014 ◽  
Vol 986-987 ◽  
pp. 377-382 ◽  
Author(s):  
Hui Min Gao ◽  
Jian Min Zhang ◽  
Chen Xi Wu
Keyword(s):  
Sensitivity Analysis ◽  
Hierarchical Clustering ◽  
Distribution System ◽  
Power Flow ◽  
Distribution Systems ◽  
Reactive Power ◽  
Digital Simulation ◽  
Second Order ◽  
First Order ◽  
The Impact

Heuristic methods by first order sensitivity analysis are often used to determine location of capacitors of distribution power system. The selected nodes by first order sensitivity analysis often have virtual high by first order sensitivities, which could not obtain the optimal results. This paper presents an effective method to optimally determine the location and capacities of capacitors of distribution systems, based on an innovative approach by the second order sensitivity analysis and hierarchical clustering. The approach determines the location by the second order sensitivity analysis. Comparing with the traditional method, the new method considers the nonlinear factor of power flow equation and the impact of the latter selected compensation nodes on the previously selected compensation location. This method is tested on a 28-bus distribution system. Digital simulation results show that the reactive power optimization plan with the proposed method is more economic while maintaining the same level of effectiveness.

Die persoonlikheidsprofiel van suksesvolle bewakingsdienspersoneel

1996 ◽  
Vol 22 (3) ◽  
Author(s):  
T. L. Nell ◽  
L. Kamfer ◽  
R. P. Van Der Merwe ◽  
D. J. L. Venter
Keyword(s):  
Discriminant Analysis ◽  
South African ◽  
Second Order ◽  
Stepwise Discriminant Analysis ◽  
Personality Profile ◽  
First Order ◽  
Correctional Services ◽  
Order Factor ◽  
Independent Criterion ◽  
Better Than

The personality profile of successful prison warders. In an attempt to develop a personality profile for successful prison warders, scores on CattelFs 16-PF (SA92-form) were obtained from 361 warders employed by the South African Department of Correctional Services. Independent criterion information (tempo of promotion) was also obtained and used as indicator of job success. Using Hotelling's T2, it was found that the first order factor profiles of successful and unsuccessful warders differed significantly. There was no difference in their second order profiles. By means of stepwise discriminant analysis with personality as independent and success (expressed as a dichotomy) as the dependant variable, four first order factors were identified and formulae derived which predicted 14,8 better than chance whether a warder would be correctly classified as successful or not on the dichotomous success criterion. Opsomming In 'n poging om 'n persoonlikheidsprofiel vir suksesvolle bewakingsdienspersoneel saam te stel, is response op Cattell se 16-PF (SA92-vorm) vanaf 361 bewakingsdienspersoneellede werksaam by die Suid-Afrikaanse Departement van Korrektiewe Dienste, verkry. Inligting in terme van onafhanklike kriterium (tempo van bevordering) is ook verkry en gebruik as aanduiding van werksukses. Deur die gebruik van Hotelling se T2 is bepaal dat die ecrsteorde profiele van suksesvolle en onsuksesvolle bewakingsdienslede beduidend van mekaar verskil. Daar is geen beduidende verskil ten opsigte van die tweedeorde profiele gevind nie. Deur middel van stapsgewyse diskriminantontleding, met persoonlikheid as onafhanklike en sukses (uitgedruk as 'n digotomie) as afhanklike veranderlike, is vier eersteorde faktore geidentifiseer en formules saamgestel wat 14,8 beter as toeval kan voorspel of "n persoon suksesvol of onsuksesvol volgens die digotomiese sukseskriterium sal wees.

Argumentation and Reflection in Plato’s Gigantomachia (Sophist 245e6–249d5)

2018 ◽  
Vol 100 (3) ◽  
pp. 241-285
Author(s):  
Daniel Vázquez
Keyword(s):  
Necessary Conditions ◽  
Second Order ◽  
Complex Activity ◽  
Causal Relations ◽  
First Order ◽  
Theoretical Assumptions ◽  
Argumentative Strategies ◽  
New Interpretation ◽  
Argumentative Structure ◽  
The Impact

Abstract This paper argues that Plato’s gigantomachia is simultaneously concerned with first-order arguments about metaphysics and epistemology and with second-order arguments that reflect on the impact of ethical components, argumentative strategies and theoretical assumptions in the conversation. This complex argumentative structure reveals, I suggest, an organic and systematic conception of philosophy where all the elements are interdependent. This interpretation has four consequences, two at the second-order level, and two concerning the first-order arguments. First, it shows that there are methodological and ethical requirements without which philosophy is impossible. Second, it shows that the text does not refute materialism but tries to reflect the necessary conditions to consider possible the existence of incorporeal beings. Third, it argues that the text assumes a conception of knowledge where knowing something is a complex activity composed of two causal relations. Finally, it offers a new interpretation of the overall conclusion of the passage.

scholarly journals SERVICE DISTRIBUTION AND SATISFACTION TOWARD CUSTOMER LOYALTY

2021 ◽  
Vol 5 (1) ◽  
pp. 113-135
Author(s):  
R. Agoes Kamaroellah ◽  
Anis Eliyana ◽  
Reza Mubarak
Keyword(s):  
Customer Loyalty ◽  
Goodness Of Fit ◽  
Positive Impact ◽  
Second Order ◽  
Service Satisfaction ◽  
Primary Data ◽  
First Order ◽  
Service Distribution ◽  
First Order Phase ◽  
The Impact

Automated Teller Machines (ATMs) are a medium for financial transactions. This study investigates the impact of service distribution and service satisfaction on customer loyalty on ATM usage of the BRI Syariah Sub-Branch Office (KCP) Pamekasan. Data obtained from primary data in ATM user respondents' Form, the data analyzed by SEM with PLS approach. The calculation is carried out in two phases, the first-order phase, and the second-order phase. A validity and reliability test revealed that all three variables were valid and reliable in the first-order phase. At the same time, the second-order phase was used, CFA, and Construct Reliability. Subsequently, an Inner Model test uncovered that the Service Distribution has no significant effect on Customer Loyalty. Contrastively, Service Satisfaction has a significant positive impact on customer loyalty. The goodness of Fit based on R-Square reveals that Service Distribution and Service Satisfaction can explain Service Loyalty at BRI Syariah KCP Pamekasan ATM very well.

VEGETATIVE PROPAGATION OF CONIFERS: XI. EFFECTS OF TYPE OF CUTTING ON THE ROOTING OF NORWAY SPRUCE CUTTINGS

1942 ◽  
Vol 20c (2) ◽  
pp. 116-121 ◽  
Author(s):  
J. L. Farrar ◽  
N. H. Grace
Keyword(s):  
Norway Spruce ◽  
Vegetative Propagation ◽  
Root Length ◽  
Early Spring ◽  
Second Order ◽  
Third Order ◽  
First Order ◽  
Sphagnum Peat ◽  
Growth Development ◽  
Better Than

Full length Norway spruce cuttings, with and without a heel of old wood, were collected from the lower part of the tree at semimonthly intervals from July to October and were propagated in several media in outside frames.Plain cuttings generally rooted better than cuttings with a heel of old wood, as judged by percentage rooted and the number and lengths of root. Heels, however, for'summer collections favoured survival and rooting in sand, and root length in sand–peat. In several experiments involving early spring collections propagated in sand, the presence or absence of heels had little effect on the responses of the cuttings.A late October collection involved six types of plain cuttings taken from the lower part of the tree and propagated in two different sand–peat media. In sedge peat medium there was little difference in the rooting of second order terminal, second order large lateral, second order small lateral, or third order lateral cuttings, the average rooting being 90%. Third order lateral cuttings showed an inferior development of new growth. The percentage of first order terminal cuttings rooted was 67%; these had markedly superior new growth development; when shortened, only 32% of such cuttings rooted. Irregular differences between the types of cutting occurred in the inferior sphagnum peat medium.

High-Order Distributed Consensus with One-Bit Adaptive Quantization

2012 ◽  
Vol 591-593 ◽  
pp. 1299-1302
Author(s):  
Wen Kai Wang ◽  
Huan Xin Peng
Keyword(s):  
Convergence Rate ◽  
High Order ◽  
Consensus Algorithm ◽  
Quantization Scheme ◽  
Mean Square ◽  
Distributed Consensus ◽  
Adaptive Quantization ◽  
Convergence Performance ◽  
The Mean ◽  
The One

The convergence performance of distributed consensus algorithm with adaptive quantization communication depends on the convergence rate of the distributed consensus algorithm. In order to improve the convergence performance of distributed consensus under adaptive quantization communication, based on the one-bit adaptive quantization scheme, we propose the high-order distributed consensus to update the state of every node. We analyze the convergence performance and calculate the mean square error of the high-order distributed consensus algorithm with one-bit adaptive quantization. The high-order distributed consensus with one-bit adaptive quantization achieves a consensus in a mean square sense. Simultaneously, Simulations are done about the high-order distributed consensus based on one-bit adaptive quantization. Results show that the high-order distributed consensus algorithm based on one-bit adaptive quantization can reach an average consensus, and its convergence rate is higher than those of the first-order adaptive quantized distributed consensus algorithm and second-order adaptive quantized distributed consensus algorithm.

scholarly journals NCC Based Correspondence Problem for First- and Second-Order Graph Matching

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5117
Author(s):  
Beibei Cui ◽  
Jean-Charles Créput
Keyword(s):  
Input Data ◽  
Cross Correlation ◽  
Graph Matching ◽  
Second Order ◽  
Consensus Algorithm ◽  
Interaction Method ◽  
Matching Algorithm ◽  
Scale Interaction ◽  
First Order ◽  
Normalized Cross Correlation

Automatically finding correspondences between object features in images is of main interest for several applications, as object detection and tracking, identification, registration, and many derived tasks. In this paper, we address feature correspondence within the general framework of graph matching optimization and with the principal aim to contribute. We proposed two optimized algorithms: first-order and second-order for graph matching. On the one hand, a first-order normalized cross-correlation (NCC) based graph matching algorithm using entropy and response through Marr wavelets within the scale-interaction method is proposed. First, we proposed a new automatic feature detection processing by using Marr wavelets within the scale-interaction method. Second, feature extraction is executed under the mesh division strategy and entropy algorithm, accompanied by the assessment of the distribution criterion. Image matching is achieved by the nearest neighbor search with normalized cross-correlation similarity measurement to perform coarse matching on feature points set. As to the matching points filtering part, the Random Sample Consensus Algorithm (RANSAC) removes outliers correspondences. One the other hand, a second-order NCC based graph matching algorithm is presented. This algorithm is an integer quadratic programming (IQP) graph matching problem, which is implemented in Matlab. It allows developing and comparing many algorithms based on a common evaluation platform, sharing input data, and a customizable affinity matrix and matching list of candidate solution pairs as input data. Experimental results demonstrate the improvements of these algorithms concerning matching recall and accuracy compared with other algorithms.

scholarly journals Teasing Apart Overclaiming, Overconfidence, and Socially Desirable Responding

Assessment ◽  
2017 ◽  
Vol 26 (3) ◽  
pp. 351-363 ◽  
Author(s):  
Doreen Bensch ◽  
Delroy L. Paulhus ◽  
Lazar Stankov ◽  
Matthias Ziegler
Keyword(s):  
Cognitive Ability ◽  
Potential Problem ◽  
Second Order ◽  
Factor Analyses ◽  
Grandiose Narcissism ◽  
Positivity Bias ◽  
First Order ◽  
Potential Indicator ◽  
Exploratory Factor Analyses ◽  
The Impact

Contamination with positivity bias is a potential problem in virtually all areas of psychological assessment. To determine the impact of positivity bias, one common approach is to embed special indicators within one’s assessment battery. Such tools range from social desirability scales to overconfidence measures to the so-called overclaiming technique. Despite the large literature on these different approaches and underlying theoretical notions, little is known about the overall nomological network—in particular, the degree to which these constructs overlap. To this end, a broad spectrum of positivity bias detection tools was administered in low-stakes settings ( N = 798) along with measures of the Big Five, grandiose narcissism, and cognitive ability. Exploratory factor analyses revealed six first-order and two second-order factors. Overclaiming was not loaded by any of the six first-order factors and overconfidence was not explained by either of the two second-order factors. All other measures were confounded with personality and/or cognitive ability. Based on our findings, overclaiming is the most distinct potential indicator of positivity bias and independent of known personality measures.

scholarly journals Investigation of the removal of Ni(II) from aqueous solution using pomelo fruit peel

2021 ◽  
Vol 63 (2) ◽  
pp. 7-12
Author(s):  
Van Phuc Dinh ◽  
Keyword(s):  
Kinetic Models ◽  
Second Order ◽  
Order Kinetic ◽  
Fruit Peel ◽  
First Order ◽  
Pseudo Second Order ◽  
Three Stages ◽  
Isotherm And Kinetic Models ◽  
Major Factors ◽  
Better Than

Pomelo fruit peel, an organic waste, was utilised as a biosorbent to remove Ni(II) from aqueous solutions. Some major factors influencing Ni(II) uptake such as pH, adsorption time, and initial Ni(II) concentration were examined. Several isotherm and kinetic models including the Langmuir, Freundlich, Sips, pseudo-first-order, pseudo-second-order, and intra-diffusion models were fit to the experimental data. Results showed that the Ni(II) uptake obtained an equilibrium at pH=6 after 80 min at 303 K. The Sips isotherm model described the Ni(II) adsorption better than other models and the monoadsorption capacity calculated from the Langmuir model was 9.67 mg/g. The adsorption of Ni(II) followed pseudo-second-order kinetic models with three stages.

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