Спутник ДЗЗ. Swarm C. [Редактировать]

22 ноября 2013 года в 16:02 по московскому времени (12:02 UTC) с космодрома «Плесецк» ракетой-носителем «Рокот» с разгонным блоком «Бриз-КМ» осуществлён запуск трёх европейских спутников Swarm A, Swarm B и SwarmC. Swarm – является очередным проектом Европейского космического агентства, предусматривающим создание серии спутников Earth Explorer, задача которых – изучение важнейших параметров Земли и их изменений под воздействием деятельности человека. Космические аппараты предназначены для измерения магнитных сигналов, исходящих из ядра, мантии, коры, океанов, ионосферы и магнитосферы Земли.

Дополнительные наименования

#НаименованияПоиск в новостяхПоиск в документах
139453НайтиНайти

Дополнительная классификация

#Наименования
1Страна оператор(владелец) - Европа
2Тип оператора(владельца) - государственный
3Тип орбиты - НОО
4Страна производитель - Франция
5Все спутники ДЗЗ

Технические характеристики

#ХарактеристикаЗначение
1Масса, кг468

Характеристики орбиты

#ХарактеристикаЗначение
1Наклонение, град87.4
2Апогей, км475.3
3Перигей, км470.5
4Период, минут93.9
5Длинный диаметр эллипса, км6843

Пусковые характеристики

#ХарактеристикаЗначение
1Код NSSDC2013-067C

Информация об удачном запуске

#ХарактеристикаЗначение
1Дата пуска2013-11-22 at 12:02:00 UTC
2Полезная нагрузка 1xSwarm B
3Полезная нагрузка 1xSwarm A
4Полезная нагрузка 1xSwarm C
5Ракета-носитель 1xРокот

Найдено 1000 документов по запросу «Swarm C». [Перейти к поиску]


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... approach here proposed, called Genetical Swarm Optimization (GSO), and consists in... Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). In particular, a key... of both genetic and particle swarm operators. The population update concept... by the name of Genetic Swarm Optimization has been applied, and... Swarm Optimization is a merged technique of Genetic algorithm technique and Particle Swarm..., 1999. [34] J. Kennedy, R. Eberhart, “Particle swarm optimization”, Proc. IEEE Int.Conf...-1948. [35] J. Kennedy, “The particle swarm: Social adaptation of knowledge”, International..., Apr. 1997. [36] J. Kennedy, R.C. Eberhart, Swarm Intelligence Morgan Kaufmann: San Francisco... [37] M. Clerc, J. Kennedy, “The particle swarm - explosion, stability and convergence in..., I. Munteanu, “Use of intelligent-particle swarm optimization in electromagnetic”, IEEE Transactions... array design using parallel particle swarm optimization”, 2003 IEEE AP-S Symposium...] D.W. Boeringer, D.H. Werner, “A comparison of particle swarm optimization and genetic algorithms for...-184 [41] D.W. Boeringer, D. H.Werner, “Particle Swarm Optimization Versus Genetic Algorithms for.... [42] J. Robinson, Y. Rahmat-Samii, “Particle swarm optimization in electromagnetic”, IEEE Trans..., M. Mussetta, P. Pirinoli, S. Selleri, R.E. Zich, “Particle swarm optimization of microwave micro strip... 2004. [44] R.C. Eberhart, Y. Shi, “Particle swarm optimization: developments, applications and resources... between genetic algorithms and particle swarm optimization”, Proc. of 7th Annual..., D.S. Weile, “Application of a parallel particle swarm optimization scheme to the design... New Variations of the Particle Swarm Optimization Method” IEEE Antennas and.... [48] J. Kennedy, “Stereotyping: improving particle swarm performance with cluster analysis”, Proc...] Y. Shi, R.A. Krohling, “Co-evolutionary particle swarm optimization to solve min-max..., A.P. Engelbrecht, “A cooperative approach to particle swarm optimization”, IEEE Tans. Evol. Comput... of neighborhood topology on particle swarm performance”, Proc. of Congress on... 6-9, 1999. [54] D. W. Boeringer, D. H. Werner, “Particle Swarm Optimization Versus Genetic Algorithms for...] J. Robinson, S. Sinton, Y. Rahmat-Samii, “Particle swarm, genetic algorithm, and their hybrids... of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design..., F. Grimaccia, M. Mussetta, P. Pirinoli, R. E. Zich, “Genetical Swarm Optimization: an Evolutionary Algorithm for.... [66] F. Grimaccia, M. Mussetta, R.E. Zich, “Genetical Swarm Optimization: SelfAdaptive Hybrid Evolutionary Algorithm...



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... systems, each consisting of a fissure swarm oriented at about N 1 0 ° E which passes... 100-150 years, w i t h a single fissure swarm being active during each episode... K r a f l a volcanic system consists of a flssure swarm about 10 k m wide and 100... acidic rocks (figure 2.1). The fissure swarm extends north-northeast f r o m an area... ridges parallel to the fissure swarm also developed w i t h i n the caldera and... taken place w i t h i n the Krafia fissure swarm, most of which occurred either... the area was attributed to swarm occurrence during the 1967 survey... episode affected the Krafla fissure swarm between latitudes 65°34'N and... accompanied by an intense earthquake swarm. A b o u t an hour later, an eruption... propagated northwards, along the fissure swarm, and covered at least 40... northern section of the fissure swarm and the adjacent section of... have occurred w i t h i n the active fissure swarm, with elevation of the flanks... Activity Soon after the earthquake swarm associated w i t h the first r i f t i n g event ended... time, earthquakes originating f r o m the fault swarm about 15 k m north of the...). No widening of the fissure swarm was reported for this event... subsidence of the active fissure swarm, along with compression and u p l i f t of... as that i n which the fissure swarm was widening (Einarsson, 1990). The... activity southwards along the fissure swarm (Brandsdottir and Einarsson, 1979). This... Hnear zone parallel w i t h the fissure swarm and radiating southwards f r o m the centre... at the beginning of the swarm sequence originated between 0-6 k m depth, immediately... shadow zone (figure 2.16b). The swarm slowly advanced southwards f r o m the magma... act i v i t y southwards along the fissure swarm, terminating the in the NamaQall area. Similarly, an earthquake swarm during the July 1978 deflation... propagate northwards along the fissure swarm at a rate of 0.4-0.5 ms~^ (Einarsson... section filong the Krafla fault swarm, showing the eruptive fissure, the... seismic activity along the fault swarm is shown with curved lines... central part of the fissure swarm and the contraction and u p h f t of... three profiles crossing the fissure swarm are shown f o r two time periods... i n the centre of the fissure swarm and contraction of about 0.5m... widening occurred i n the active fissure swarm, with l i t t l e movement elsewhere. This is... fissure swarm (Tryggvason, 1984) and a reduction i n earthquakes associated w i t h r i f t i n g i n the fissure swarm. I n addition... the fissure swarm, (Bjornsson, 1985). Total extension across the fissure swarm was... burst out along the fissure swarm to initiate dyke injection. (Bjornsson...). Sudden widening of the fissure swarm resulted i n elastic contraction on both..., the central part of the swarm subsided, and the flanks were... f r o m the chamber into the fissure swarm ceased when the pressure feU... was observed i n the Theistareykir fissure swarm in 1618 59 w i t h o u t volcanic activity... magma laterally into the fissure swarm. 60 2.3.6.3 T h e Sea Floor The similarities... and is bisected by a fissure swarm which is about 10 k m wide... developed over the active fissure swarm which extended to the north... were injected into the fissure swarm and some of the extensional... i t . Sudden widening of the fissure swarm resulted i n contraction on b o t h flanks. Fissuring... compressional stresses in the fissure swarm could be overcome. The r i f t i n g episode... activity perpendicular to the fissure swarm (section 2 of flgure 3.7) is shown... fissure swarm (section 4 A - 4 B of figure 3.7), ( b ) section parallel to the fissure swarm from... 0.6 km parallel to the fissure swarm and 0.4 km in a perpendicular direction.... There is little evidence of swarm activity. Events of magnitudes -2.4 to... Krafla central volcano and fissure swarm, which were the subjects of... axis of the Krafla fissure swarm (figure 1.4), and Palmason (1971) and... trend of the surface fissure swarm, (a) Section 2A-2B across the... 3A-3B across the 'fissure swarm', (c) Section 4A-4B across the... was parallel to the fissure swarm then this solution indicates sinistral..., approximately parallel to the fissure swarm. This is illustrated i n 5.10b. 5.3.3.4 Leirhnjukur... striking parallel to the fissure swarm, and also with crack closure... approximately parallel to the fissure swarm. This could indicate the approximately... the centre of the fissure swarm which bisects the caldera and... of hypocentres within the 'fissure swarm' and P-wave velocities from the... are oblique to the fissure swarm. Significant seismic activity between Namafjall... and extension within the fissure swarm, and uplift and compression at... this section of the fissure swarm is geothermally active, then it... during the 1970 Demville earthquake swarm. Earthquake Notes, 41, 3-7. Burnett, M.S., Caress.... The Reykjanes Peninsula, Iceland, earthquake swarm of September 1972 and its... deformation of the Krafla fissure swarm in two rifting events. J. Geophys.... Widening of the Krafla fissure swarm during the 1975-1981 volcanotectonic...



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....au Interactive multi-objective particle swarm optimization with heatmapvisualization-based user... ARTICLE Interactive Multi-Objective Particle Swarm Optimisation with Heatmap Visualisation based... method based on MultiObjective Particle Swarm Optimisation that allows a human decision... to a modified Multi-Objective Particle Swarm Optimisation algorithm this paper presents... a non-interactive Multi-Objective Particle Swarm Optimisation algorithm. As a common technique... non-interactive Multi-Objective Particle Swarm Optimisation in terms of convergence.... Keywords: Interactive Multi-Objective Particle Swarm Optimisation, Heatmap Visualisation, Multi-Objective... is Particle Swarm Optimisation and its various derivatives. Particle Swarm Optimisation (PSO... and the swarm maintains a similar memory for either the entire swarm (gbest... neighbourhoods of particles within the swarm (lbest PSO). These memories are... to as Multi-Objective Particle Swarm Optimisation algorithms (MOPSO). Some of... to date to adapt Particle Swarm Optimisation1 for user interaction, even... other approaches to Interactive Particle Swarm Optimisation (Agrawal et al. 2008... to Interactive Multi-Objective Particle Swarm Optimisation which potentially improves human... maker to effectively guide the swarm with minimal effort. The following... Multi-Objective Particle Swarm Optimisation Interactive Multi-Objective Particle Swarm Optimisation (IMOPSO... advantages of Multi-Objective Particle Swarm Optimisation with the domain specific... of user preference based Particle Swarm Optimisation methods is still reasonable.... A first progressive approach to Particle Swarm Optimisation was developed by M´ader... global and classification as a Computational Swarm Intelligence optimisation method distinct from... an interactive Multi-Objective Particle Swarm Optimisation was made by Agrawal... less restrictions in terms of swarm size and user fatigue, the... and the size of the swarm without aggravating human fatigue. While... restrict the size of the swarm, it severely limits the number... The Interactive Multi-Objective Particle Swarm Optimisation algorithm presented in this... made since it allows the swarm to rapidly react to changes... the social component of the swarm with a new component which, rather... selected. Each particle in the swarm randomly chooses its gbest guide... value for a parameter and the swarm ceases to move in that... 1 Interactive MOPSO Initialise iteration i = 0; Initialise swarm S with n particles; Evaluate S; for each... allows the size of the swarm to be increased significantly in... interesting solutions. Limitations on the swarm size caused by the interaction... and all particles of the swarm at their current positions. Assuming... of Interactive Multi-Objective Particle Swarm Optimisation three common test functions... MOPSO IMOPSO w c1 c2 c3 swarm size 0.4 0.4 2.0 2.0 2.0 0.0 0.0 2.0 100 100 to evaluate... of the size of the swarm and the size of the... and the size of the swarm respectively. The individual “buckets” ψn are... Non-Interactive Multi-Objective Particle Swarm Optimisation. ˜ focus Ψ Iterations Runs |PF... proposed Interactive Multi-Objective Particle Swarm Optimisation was to focus the... MultiObjective Particle Swarm Optimisation and non-interactive Multi-Objective Particle Swarm Optimisation... is easy to guide the swarm to the region of interest... MultiObjective Particle Swarm Optimisation and non-interactive Multi-Objective Particle Swarm Optimisation... problem using Multi-Objective Particle Swarm Optimisation as a founda- 16:48... MultiObjective Particle Swarm Optimisation and non-interactive Multi-Objective Particle Swarm Optimisation..., S., et al., 2008. Interactive Particle Swarm: A Pareto-Adaptive Metaheuristic to Multiobjective...: A Proposal for Multiple Objective Particle Swarm Optimization. In: Evolutionary Computation, 2002.... Engelbrecht, A., 2005. Fundamentals of Computational Swarm Intelligence. John Wiley & Sons, Ltd...-objective algorithm based upon particle swarm optimisation. Proceedings of The UK... Methods in Multi-Objective Particle Swarm Optimization. In: E-SCIENCE ’06: Proceedings.... Kennedy, J. and Eberhart, R., 1995. Particle swarm optimization. Neural Networks, 1995. Proceedings..., F., 8-10 Sept. 2005. Interactive particle swarm optimization. Intelligent Systems Design and..., J. and Chapman, R., Application of Particle Swarm to Multiobjective Optimization. , 1999. , Technical... guides in multiobjective particle swarm optimizationoptimization. In: Swarm Intelligence Symposium, 2003. SIS..., Y. and Eberhart, R., 1998. A modified particle swarm optimizer. Evolutionary Computation Proceedings, 1998...



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ISSN (Online) 2278-1021 ISSN (Print) 2319-5940 International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 4, April 2015 Understanding the Aging Leader and Challengers Concept in PSO and its Applications Anu Sharma1, Mandeep Kaur 2 Student, M.Tech., CSE, Guru Nanak Dev University, Jalandhar, India1 Assistant Professor, CSE, Guru Nanak Dev University, Jalandhar, India 2 Abstract: Aging is the process of getting older with the passage of time. It brings the physical, psychological and societal changes in every organism. Concept of aging leader and challengers is implanted in the particle swarm optimization i.e. ALC-PSO to prevent premature convergence in swarm by generating challenger particles when existing leader particle get trapped in local optima. Leader in ALC-PSO is the particle with the best position so far in the swarm and challengers are the set of candidates claiming to give the best optimal solution (i.e. better than the solution provided by the existing leader) in PSO to achieve leadership. In this paper, we have made an effort to understand the concept of ALC-PSO and its applications. It also presents a brief study about how ALC-PSO overcame shortcomings in standard PSO and lists further scope required in ALC-PSO. Keywords: Aging, leader, particle swarm optimization, convergence, population. I. INTRODUCTION Particle swarm optimization is a population based stochastic optimization technique developed by Kennedy and Ebehart [1] which mimics social behavior like movement of organisms in a flock of bird or fish school. It is based on the concept of social influence and social learning.PSO utilizes a population of optimal solutions to explore the search space. Information exchange takes place between the individuals called particle of population called swarm [2]. Simplicity and ease of implementation has made PSO a popular area of research .It has wide range of applications such as fuzzy networks, power control, computer graphics, distribution, sensor and communication networks etc. PSO provides best solution for the hard problems and also used to solve real valued, binary and discrete problems. [3] This paper is organized as following. Next section covers the brief description of particle swarm optimization and the concept of aging . This section is followed by the brief overview of the PSO with Aging leader and Challengers ie. ALC-PSO. Next section list various applications of ALC_PSO discovered so far . This section is followed by the various open issues in the field of ALC-PSO which gives direction for future research. A. Particle swarm optimization This heuristic population based method consists of a problem having a swarm of probable particles, and moving these particles around in the search-space as per velocity and position update rule. A population of particles randomly positioned in an n-dimensional search space is initialized in PSO. Every particle in the swarm maintains two vectors i.e. velocity vector and a position vector. During each generation, each particle adhere update rules to update its velocity and position by knowing from the particle’s previous best position and the best position found by the entire swarm so far. Let vi and xi be the Copyright to IJARCCE velocity and position vector respectively and M be no of particle in the search space or swarm. The update rules in the standard PSO are defined as vij← vij + c1 .r1j .(pbest ij –xij) + c2 .r2j .(gbest ij –xij) (1) xij ← xij +vij (2) In eqn.1, pbest is the best position of a particle whereas gbest is the best position of the whole swarm.c1 and c2 are the two constants to measure relative performance of pbest and gbest. r1j and r2j are random numbers distributed in[0,1], and j(1



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... on A Hybrid Approach using Particle Swarm Optimization with Linear Crossover to... presents a Hybrid version of Particle Swarm Optimization to solve Continuous Optimization... functions. Keywords: Particle Swarm Optimization (PSO), Particle Swarm Optimization with Crossover (PSO with Crossover), Linear Crossover. I. INTRODUCTION Particle swarm... best particle of the entire swarm at each time step (generation... indicates that the modified particle swarm optimization is effective. In this... Particle Swarm Optimization Algorithm with Genetic Mutation proposed a hybrid particle swarm optimization... to improve the standard particle swarm optimization (PSO) algorithm. Mutation operators... a novel crossover operator for Particle swarm algorithm to enhance the performance... Pant et all [3] in Particle swarm optimization with crossover operator and... algorithm named Quadratic Interpolation Particle Swarm Optimization (QIPSO) for solving global... level of diversity in the swarm population. Loss of diversity generally...-point effects using a hybrid particle swarm optimization (PSO) technique. This paper... combines differential evolution with particle swarm optimization, namely HDEPSO. The main... Hao et all [6] in A particle swarm optimization algorithm with crossover operator... at certain probability. III. PARTICLE SWARM OPTIMIZATION As PSO is inspired..., the ith particle of the swarm is represented by an n-dimensional... the best particle in the swarm. The velocity of the ith... S is the size of the swarm; c1 and c2 are constants... inertia weight (w) in the particle swarm optimization algorithm was first reported... criticized one certain aspects. Particle swarm optimization (PSO) is a population based... functions, a novel version of particle swarm optimization algorithm with crossover operator... Stan Matwin, HPSOM: A Hybrid Particle Swarm Optimization Algorithm with Genetic Mutation... , “A Novel Crossover Operator for Particle Swarm Algorithm. “2010 International Conference on..., Member, IAENG, and V. P. Singh. Particle Swarm Optimization with Crossover Operator and... Jin-Ho Kim, “A Hybrid Particle Swarm Optimization Employing Crossover Operation for... Shahrooz Shahparvari, A Hybrid Differential Particle Swarm Optimization Approach to solve a Multi...-Gang Wang, Han Huang “A Particle Swarm Optimization Algorithm with Crossover Operator... 2014 [8] Y. Shi, R.C. Eberhart, “A modified particle swarm optimizer”, Proceedings of the Conference...–73. [9] Y. Shi, R.C. Eberhart, “A modified particle swarm optimizer[C]”, IEEE World Congress on...] Y. Shi, R.C. Eberhart, “Fuzzy Adaptive Particle Swarm Optimization”. Proceeding of Congress on..., “Adaptive Particle Swarm Optimization using Velocity Information of Swarm”. Proceeding of 2004..., “The Swarm and the Queen: Towards a Deterministic and Adaptive Particle Swarm Optimization...] B. Li. and K. Wada, “Parallelizing Particle Swarm Optimization”, 2005 IEEE Pacific Rim..., Japan “Self-adaptive Crossover Particle Swarm Optimizer for Multi-dimension Functions.... [16] J.Kennedy and R.Eberhart, Particle swarm optimization, in Proc. IEEE International... Shi, Russell Eberhart,. A modified particle swarm optimizer [A]. IEEE World Congress on...-6) J.J. Liang, A.K. Qin, Comprehensive learning particle swarm optimizer for global optimization of..., K. S. Lee, J. R. Shin, and K. Y. Lee, “A particle swarm optimization for economic dispatch with...



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.... As the principles of particle swarm optimisation are similar to that... standard particle swarm optimisation algorithm and an improved particle swarm optimisation algorithm...]. 2.4 Particle Swarm Optimisation 29 2.4 Particle Swarm Optimisation The standard particle swarm optimiser (SPSO... of each individual (Pi) in a swarm. 2. The publicised knowledge, which is... Particle Swarm Optimisation The population of SPSO is called a swarm and each...;n ; . . .; vkmax;N Þ: In each iteration, the swarm is updated by the following... all the particles in the swarm (also known as gbest). They... Þ ¼ minðf ðP0 Þ; f ðP1 Þ; . . .; f ðPm ÞÞ ð2:9Þ 2.4 Particle Swarm Optimisation 31 where f is the... of the search space. 2.4.2 Particle Swarm Optimisation with Passive Congregation It... Pg is the best solution a swarm has found so far, which... colony, large tasks are 2.4 Particle Swarm Optimisation 33 accomplished collectively by... a particle randomly selected from the swarm, c3 is the passive congregation...) FOR (each particle i in the swarm) Check feasibility: Check the feasibility... global best position of the swarm. If f(Xi) is better than...: Randomly select a particle from the swarm as Ri; Update velocities: Calculate... 9. Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: IEEE international conference... 10. Kennedy J, Eberhart RC (2001) Swarm intelligence. Morgan Kaufmann Publishers, San... JR, Paton RC (2004) A particle swarm optimizer with passive congregation. BioSystems... P (1998) Evolutionary optimization versus particle swarm optimization: philosophy and performance difference... M, Rasmussen T, Krink K (2001) Hybrid particle swarm optimizer with breeding and subpopulations... R (2002) Population structure and particle swarm performance. In: Proceedings of the.... Kennedy J (2000) Stereotyping: improving particle swarm performance with cluster analysis. In... RC (2001) Fuzzy adaptive particle swarm optimization. In: Proceedings of the... K, Fukuyama Y, Takayama S, Nakanishi Y (2000) A particle swarm optimization for reactive power and... (1998) Parameter selection in particle swarm optimization. Evolutionary programming VII (1998... 42. Bonabeau E, Dorigo M, Theraulaz G (1999) Swarm intelligence: from natural to artificial...



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Inertia Weight Strategies in Particle Swarm Optimization 1 J. C. Bansal, 2P. K. Singh 3Mukesh....abraham@ieee.org Abstract: Particle Swarm Optimization is a popular heuristic search... birds or fishes. It is a swarm intelligence technique for optimization developed.... Keywords-Particle Swarm Optimization; Inertia Weight; Convergence. I. INTRODUCTION Particle Swarm Optimization (PSO..., the ith particle of the swarm is represented by a n- dimensional vector... the best particle in the swarm. The velocity of the ith.... S is the size of the swarm and c1 and c2 are... global exploration ability of particle swarm. Further, the concept of an... exploration and exploitation process of swarm, Inertia Weight (w) is used to... INERTIA WEIGHT STRATEGIES FOR PARTICLE SWARM OPTIMIZATION Inertia Weight plays a key.... [11] introduces an optimized Particle Swarm technique (PSOSA) that uses Simulated... optimization test problems. A. Parameter Settings Swarm size is taken to be... set Inertia Weight in Particle Swarm Optimization Algorithm. A set of 5 most... J. Kennedy, R.C. Eberhart, et al., “Particle swarm optimization”, In Proceedings of IEEE.... Y. Shi and R. Eberhart., “A modified particle swarm optimizer”, In Evolutionary Computation Proceedings.... IEEE, 2002. A.Nikabadi, M.Ebadzadeh , “Particle swarm optimization algorithms with adaptive Inertia..., S.Z.M. Hashim, and R. Ngah, “New Particle Swarm Optimizer with Sigmoid Increasing Inertia.... J. Xin, G. Chen, and Y. Hai., “A Particle Swarm Optimizer with Multistage Linearly-Decreasing...., “Chaotic Inertia Weight in Particle Swarm Optimization”, In Innovative Computing, Information..., 2008. K. Kentzoglanakis and M. Poole., “Particle swarm optimization with an oscillating Inertia... the performance of the particle swarm optimization algorithm with various Inertia... R.C. Eberhart., “Empirical study of particle swarm optimization”, In Evolutionary Computation, 1999... Shaheen, “Psosa: An optimized particle swarm technique for solving the urban..., 2007. H.R. Li and Y.L. Gao., “Particle Swarm Optimization Algorithm with Exponent Decreasing... Inertia Weight strategy in particle swarm optimization”, In Intelligent Control and.... Y. Gao, X. An, and J. Liu., “A Particle Swarm Optimization Algorithm with Logarithm Decreasing...



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... = 7.5 tsunami and was followed by a swarm of low-frequency earthquakes that... temporally associated with an anomalous swarm of mb < 5.0 earthquakes that occurred... associated with an anomalous earthquake swarm that occurred at Vailulu’u volcano.... Acoustic T waves associated with the swarm were recorded by a local hydrophone..., 1995b]. Besides the January 1995 swarm, a search of the NEIC catalog... similar magnitudes suggest that the swarm is associated with magmatic activity... start of the volcanic earthquake swarm. 4.5. Loihi [48] An MW 4.9 vertical... July 1996, the largest earthquake swarm ever recorded in the Hawaiian... at Loihi. [49] The 1996 swarm can be divided into two...]. The second phase of the swarm, which consisted of predominantly long... shown to predate the earthquake swarm by several months [Duennebier et... start of the volcanic earthquake swarm, is clearly associated with this... of 2000, the most intense swarm of earthquakes ever observed in.... [52] On 26 June 2000, a swarm of small volcanic earthquakes was...., 2005]. Following the eruption, the swarm continued to migrate ~30 km... the start of the earthquake swarm and before the end of... first day of the 4 day swarm, when the hydrophone recorded a continuous... the beginning of the swarm. The April 2009 swarm closely resembles another...., 2012]. Four months after the swarm, in August 2009, a large volcanic... relative timing of the earthquake swarm and the eruption suggests that... vertical-P earthquake occurred during a seismic swarm at Kuchinoerabu-jima [Iguchi et... teleseismically-detected earthquake in each swarm. [94] Vertical-P earthquakes occur hours... Seamount from the 1996 earthquake swarm, Bull. Seismol. Soc. Am., 91... breccia from the 1996 earthquake swarm of Loihi seamount, Hawaii: Magmatic... the 2000 Miyakejima volcanic earthquake swarm, J. Geophys. Res., 112, B10308, doi... AD 2000 Izu islands earthquake swarm that stressing rate governs seismicity...



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... информацию геоинформационной социальной сети Foursquare/Swarm о точках и посещении их пользователями [2]. Структура... Foursquare/Swarm. Они могут содержать текст и изображения. Социальная сеть Foursquare/Swarm c помощью... чтобы обеспечить конфиденциальность пользователей, Foursquare/ Swarm ограничивает доступ к данным о посещении пользователями...... Однако, благодаря тому, что Foursquare/Swarm позволяет связывать учетные записи в данной... и долготы точки на сервер Foursquare/Swarm. Дальнейшие действия таковы: (2) сравнение данных... пользователя и находящихся в базе данных Fousquare/ Swarm, (3) выдача списка точек, находящихся поблизости... информации обратно на сервер Foursquare/Swarm. После выполнения чекина пользователю доступна... оригинальную веб-страницу сервиса Foursquare/Swarm с данными о пользователе, совершившем чекин (идентификатор...) идентификаторов пользователей социальной сети Foursquare/Swarm и Twitter, в результате которого существенно увеличивается... интерфейс (API) социальной сети Foursquare/Swarm, которая предоставляет информацию об учетных... из социальных сетей Twitter и Foursquare/Swarm включил анализ более 1.5 миллионов соответствующих... ссылки на них в сети Foursquare/Swarm), с веб-сайта свободной энциклопедии «Википедия», с веб-сайта сервиса Foursquare/Swarm; также использовался API поисковой системы... кластеризации пользователей социальной сети Foursquare/Swarm, позволяющий снизить размерность данных. Получившиеся... точек геоинформационной социальной сети Foursquare/Swarm (например, обе точки являются ресторанами... категории cj социальной сети Foursquare/Swarm выбирается k-список наиболее часто встречаемых... данных из Wikipedia, Google, Foursquare/Swarm, собранных ранее. ИНФОРМАЦИОННЫЕ СИСТЕМЫ 33... выбора терминов для категорий в Foursquare/Swarm 2. Для каждого пользователя ui социальной.... 2. Определение сообществ в социальной сети Foursquare/Swarm. 3. Определение ключевых пользователей. Онлайн-часть... (соответствие профиля социальной сети Foursquare/Swarm и Twitter может быть найдено с помощью...



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... COMPUTATION BASED ON BINARY PARTICLE SWARM OPTIMIZATION Zuwairie Ibrahim1 , Noor Khafifah... , continuity, and hairpin. Binary particle swarm optimization (BinPSO) is employed to... aggregated fitness value. Keywords: Particle swarm optimization, Binary PSO, DNA sequence... designed based on binary particle swarm optimization (BinPSO) [15]. The representation... published in [16]. 3. Particle Swarm Optimization. Particle swarm optimization (PSO) is a populationbased... DESIGN FOR DNA COMPUTATION 3443 swarm (gbest). A particle modifies its position... found by the particle’s entire swarm. c1 and c2 are the... best experience of the whole swarm (gbest). ω is called inertia weight... and exploitation ability of the swarm. Large values of ω facilitate exploration...+1 = ski + vik+1 i (3) The binary particle swarm optimization (BinPSO) algorithm has been... an application of binary particle swarm optimization in DNA sequence design... based on multi-objective particle swarm, Journal of Computational and Theoretical... optimization based on continuous particle swarm optimization for reliable DNA computing... binary version of the particle swarm algorithm, Proc. of Conf. Systems.... [17] J. Kennedy and R. C. Eberhart, Particle swarm optimization, Proc. of IEEE International... and constriction factors in particle swarm optimization, Proc. of IEEE Congress... A. P. Engelbrecht, An Analysis of Particle Swarm Optimizers, Ph.D. Thesis, University of...