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Journal articles on the topic 'Cluster Computer'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

ROSENBERG, ARNOLD L., and RON C. CHIANG. "HETEROGENEITY IN COMPUTING: INSIGHTS FROM A WORKSHARING SCHEDULING PROBLEM." International Journal of Foundations of Computer Science 22, no. 06 (2011): 1471–93. http://dx.doi.org/10.1142/s0129054111008829.

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Heterogeneity complicates the use of multicomputer platforms. Can it also enhance their performance? How can one measure the power of a heterogeneous assemblage of computers ("cluster"), in absolute terms (how powerful is this cluster) and relative terms (which cluster is more powerful)? Is a cluster that has one super-fast computer and the rest of "average" speed more/less powerful than one all of whose computers are "moderately" fast? If you can replace just one computer in a cluster with a faster one, should you replace the fastest? the slowest? A result concerning "worksharing" in heteroge

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Jullien, R., R. Botet, and P. M. Mors. "Computer simulations of cluster–cluster aggregation." Faraday Discuss. Chem. Soc. 83 (1987): 125–37. http://dx.doi.org/10.1039/dc9878300125.

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Babchuk, S. M., Т. V. Humeniuk, and I. T. Romaniv. "MATHEMATICAL MODELS PRODUCTIVITY OF CLUSTER SYSTEM BASED ON RASPBERRY PI 3B+." Radio Electronics, Computer Science, Control 1, no. 1 (2021): 46–56. http://dx.doi.org/10.15588/1607-3274-2021-1-5.

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Context. High-performance computing systems are needed to solve many scientific problems and to work with complex applied problems. Previously, real parallel data processing was supported only by supercomputers, which are very limited and difficult to access. Currently, one way to solve this problem is to build small, cheap clusters based on single-board computers Raspberry Pi. Objective. The goal of the work is the creation of a complex criterion for the efficiency of the cluster system, which could properly characterize the operation of such a system and find the dependences of the per

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Yang, Chao-Tung, and Wen-Feng Hsieh. "On Construction of a Diskless Cluster Computing Environment in a Computer Classroom." International Journal of Grid and High Performance Computing 4, no. 4 (2012): 68–88. http://dx.doi.org/10.4018/jghpc.2012100105.

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This paper’s objective is to implement and evaluate a high-performance computing environment by clustering idle PCs (personal computers) with diskless slave nodes on campuses to obtain the effectiveness of the largest computer potency. Two sets of Cluster platforms, BCCD and DRBL, are used to compare computing performance. It’s to prove that DRBL has better performance than BCCD in this experiment. Originally, DRBL was created to facilitate instructions for a Free Software Teaching platform. In order to achieve the purpose, DRBL is applied to the computer classroom with 32 PCs so to enable PCs

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Rizzi, Maria, and Matteo D'Aloia. "COMPUTER AIDED SYSTEM FOR BREAST CANCER DIAGNOSIS." Biomedical Engineering: Applications, Basis and Communications 26, no. 03 (2014): 1450033. http://dx.doi.org/10.4015/s1016237214500331.

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Computer aided detection and Diagnosis systems are becoming very useful and helpful in supporting physicians for early detection and control of some diseases such as neoplastic pathologies. In this paper, a computer aided system for breast cancer diagnosis in mammographic images is presented. In particular, the method looks for microcalcification cluster occurrence and makes the diagnosis of the detected abnormality. The procedure first detects microcalcifications having a cluster pattern and then classifies the abnormalities as benign or malignant clusters. The method formulates the different

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Leow, Soo Kar, and David F. Mcallister. "Heuristic Assignments of Redundant Software Versions and Processors in Fault-tolerant Computer Systems for Maximum Reliability." Probability in the Engineering and Informational Sciences 1, no. 4 (1987): 457–79. http://dx.doi.org/10.1017/s0269964800000528.

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We address the problem of assigning multiple copies of n independently developed versions of a program to a set of m(m > n) possibly heterogeneous processors to maximize system reliability. This problem is viewed as a partition and assignment problem. We first partition the set of processors into n clusters or subgroups. A program version is then assigned to be executed on all the processors in the cluster. This means that each processor in the cluster will execute a copy of the assigned version. The cluster's unreliability is the probability of failure of all its processors. Component i of

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Takahashi, Akiyuki, Masahiro Arita, and Masanori Kikuchi. "Computer Simulation of Irradiation Growth in Zirconium." Advanced Materials Research 33-37 (March 2008): 889–94. http://dx.doi.org/10.4028/www.scientific.net/amr.33-37.889.

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This paper describes the computer simulation of irradiation growths induced by neutron irradiations in zirconium using a combination of Molecular Dynamics (MD) and Kinetic Monte Carlo (KMC) methods. First, we performed the MD simulation of the displacement cascade on a defect cluster to study the interaction between the defect cluster and the displacement cascade. The MD simulations provide a lot of information on the amount of the defect production and the subsequent morphological change in the defect cluster. The results are used to make simple models that describe the nature of the displace

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Duque, F., A. Mañanes, L. M. Molina, M. J. López, and J. A. Alonso. "Computer simulation of cluster assembling." International Journal of Quantum Chemistry 86, no. 2 (2001): 226–38. http://dx.doi.org/10.1002/qua.1603.

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9

Bedanov, V. M. "Computer simulation of cluster decay." Molecular Physics 69, no. 6 (1990): 1011–24. http://dx.doi.org/10.1080/00268979000100771.

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Lynar, Timothy M., Simon, Ric D. Herbert, and William J. Chivers. "Clustering Obsolete Computers to Reduce E-Waste." International Journal of Information Systems and Social Change 1, no. 1 (2010): 1–10. http://dx.doi.org/10.4018/jissc.2010092901.

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Personal computers contribute significantly to the growing problem of electronic waste. Every computer, when finished with, must be stored, dumped, recycled, or somehow re-used. Most are dumped, at a huge cost to health and the environment, as their owners succumb to the desire to keep up with the ever-increasing power of new computers. Supercomputers and computer clusters provide more power than ordinary desktop and laptop computers, but they too are subject to rapid obsolescence. The authors have built a cluster of obsolete computers and have found that it easily outperforms a fairly standar

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Schlingemann, D. "Cluster states, algorithms and graphs." Quantum Information and Computation 4, no. 4 (2004): 287–324. http://dx.doi.org/10.26421/qic4.4-4.

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The present paper is concerned with the concept of the one-way quantum computer, beyond binary-systems, and its relation to the concept of stabilizer quantum codes. This relation is exploited to analyze a particular class of quantum algorithms, called graph algorithms, which correspond in the binary case to the Clifford group part of a network and which can efficiently be implemented on a one-way quantum computer. These algorithms can ``completely be solved" in the sense that the manipulation of quantum states in each step can be computed explicitly. Graph algorithms are precisely those which

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GUISADO, J. L., F. JIMÉNEZ-MORALES, and F. FERNÁNDEZ DE VEGA. "CELLULAR AUTOMATA AND CLUSTER COMPUTING: AN APPLICATION TO THE SIMULATION OF LASER DYNAMICS." Advances in Complex Systems 10, supp01 (2007): 167–90. http://dx.doi.org/10.1142/s0219525907001100.

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Firstly, the application of a cellular automata (CA) model to simulate the dynamics of lasers is reviewed. With this kind of model, the macroscopic properties of the laser system emerge as a cooperative phenomenon from elementary components locally interacting under simple rules. Secondly, a parallel implementation of this kind of model for distributed-memory parallel computers is presented. Performance and scalability of this parallel implementation running on a computer cluster are analyzed, giving very satisfactory results. This confirms the feasibility of running large 3D simulations — una

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Wani, M. Arif, and Romana Riyaz. "A new cluster validity index using maximum cluster spread based compactness measure." International Journal of Intelligent Computing and Cybernetics 9, no. 2 (2016): 179–204. http://dx.doi.org/10.1108/ijicc-02-2016-0006.

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Purpose – The most commonly used approaches for cluster validation are based on indices but the majority of the existing cluster validity indices do not work well on data sets of different complexities. The purpose of this paper is to propose a new cluster validity index (ARSD index) that works well on all types of data sets. Design/methodology/approach – The authors introduce a new compactness measure that depicts the typical behaviour of a cluster where more points are located around the centre and lesser points towards the outer edge of the cluster. A novel penalty function is proposed for

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Wang, Congying, Bei Hu, and Peng Li. "Empirical Study of Knowledge Fusion Process within Chinese High-Tech Industry Clusters Based on Information Fusion Method." Journal of Information & Knowledge Management 08, no. 04 (2009): 353–61. http://dx.doi.org/10.1142/s0219649209002452.

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In order to consider the future development of high-tech industry clusters, this paper applies an evolution perspective to look into the knowledge integration process from both local and global knowledge linkages of entrepreneurs within the industry cluster. This paper has established a model to explore the entrepreneur's knowledge spillover and diffusion process which promotes the high-technology industry cluster's technology upgrading. Analysis is based on data from questionnaires and interviews with 182 entrepreneurs in the Dongwan software high-tech industry cluster of Guangdong, China. Us

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15

YAMAMURA, Yasunori. "Computer Simulations of Cluster Impact Phenomena." SHINKU 35, no. 8 (1992): 699–707. http://dx.doi.org/10.3131/jvsj.35.699.

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16

Lin, Hong, Jeremy Kemp, and Padraic Gilbert. "Computing Gamma Calculus on Computer Cluster." International Journal of Technology Diffusion 1, no. 4 (2010): 42–52. http://dx.doi.org/10.4018/jtd.2010100104.

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Gamma Calculus is an inherently parallel, high-level programming model, which allows simple programming molecules to interact, creating a complex system with minimum of coding. Gamma calculus modeled programs were written on top of IBM’s TSpaces middleware, which is Java-based and uses a “Tuple Space” based model for communication, similar to that in Gamma. A parser was written in C++ to translate the Gamma syntax. This was implemented on UHD’s grid cluster (grid.uhd.edu), and in an effort to increase performance and scalability, existing Gamma programs are being transferred to Nvidia’s CUDA a

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Harris, Frank E. "Computer generation of coupled-cluster equations." International Journal of Quantum Chemistry 75, no. 4-5 (1999): 593–97. http://dx.doi.org/10.1002/(sici)1097-461x(1999)75:4/5<593::aid-qua24>3.0.co;2-h.

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18

ZHANG, H. Q., M. HAN, Q. WANG, and G. H. WANG. "HREM CHARACTERIZATION OF GOLD-CLUSTER STRUCTURES." Surface Review and Letters 03, no. 01 (1996): 1195–98. http://dx.doi.org/10.1142/s0218625x96002151.

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High-resolution electron microscope (HREM) and computer simulation are used to investigate structural features of gold clusters produced by the inert-gas condensation method. The results indicate that (i) smaller clusters have multiple-twinned-like structure while those larger than 150 Å in diameter show single-crystal structure; (ii) the former cluster consists of either decahedral or icosahedral form and the atomic planes are not strictly parallel and distances between the planes increase towards the cluster edge; and (iii) grain boundaries between the clusters have twin structures with both

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19

Fan, Li Xian, Yong Zhao Xu, and Hong Tao Li. "Design and Realization of Virtual Computer Cluster System." Advanced Materials Research 271-273 (July 2011): 1313–17. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.1313.

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Virtualization technology has revolted the computer technology. In the paper, we present our virtual computer cluster. The components of computer cluster have been improved by virtualization technology from the actual computer server to virtual server instance. Virtual computer cluster includes front-end machine and the cluster nodes. The front-end machine can be physical machines or virtual machines; the cluster node can also be virtual or physical machine node. The front-end machine of the cluster communicates with the cluster nodes through physical or virtual network adapter. The front-end

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20

Liu, Yili. "Use of Computer Graphics and Cluster Analysis in Aiding Relational Judgment." Proceedings of the Human Factors Society Annual Meeting 33, no. 5 (1989): 345–49. http://dx.doi.org/10.1177/154193128903300524.

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An experiment is conducted to investigate the use of computer graphics and cluster analysis in aiding human relational judgment. The experimental stimuli were similarity matrices from real-world data sources. The experimental tasks required the subjects to detect the number of clusters or to judge the similarity value between a designated pair of objects in the displayed matrix. Each matrix was either ordered randomly or arranged according to the results of cluster analysis. Each matrix was displayed in one of four schemes: number scheme, color scheme, size scheme or 3-D vertical line scheme.

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Hartman, Amiel, and Vidya K. Nandikolla. "Human-Machine Interface for a Smart Wheelchair." Journal of Robotics 2019 (January 2, 2019): 1–11. http://dx.doi.org/10.1155/2019/4837058.

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The paper describes the integration of hardware and software with sensor technology and computer processing to develop the next generation intelligent wheelchair. The focus is a computer cluster design to test high performance computing for smart wheelchair operation and human interaction. The LabVIEW cluster is developed for real-time autonomous path planning and sensor data processing. Four small form factor computers are connected over a Gigabit Ethernet local area network to form the computer cluster. Autonomous programs are distributed across the cluster for increased task parallelism to

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APPN Editorial Office. "Highlights from the Asia Pacific Region." Asia Pacific Physics Newsletter 01, no. 02 (2012): 14–31. http://dx.doi.org/10.1142/s2251158x12000239.

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Quantum computing promises to deliver unprecedented effciency by exploiting the laws of quantum mechanics in order to process information in ways fundamentally different from today's classical computers. As recently as a decade ago Raussendorf and Briegel proposed the one-way quantum computer which differs dramatically from the standard model of quantum computation [1]. Whereas the standard model relies on sequences of quantum logic gates that process qubits, the one-way model implements computations as a sequence of measurements on an array of highly entangled states; the so-called cluster st

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Boulesteix, A. L., J. Knaus, and C. Bernau. "Application of Microarray Analysis on Computer Cluster and Cloud Platforms." Methods of Information in Medicine 52, no. 01 (2013): 65–71. http://dx.doi.org/10.3414/me11-02-0043.

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Summary Background: Analysis of recent high-dimensional biological data tends to be computationally intensive as many common approaches such as resampling or permutation tests require the basic statistical analysis to be repeated many times. A crucial advantage of these methods is that they can be easily parallelized due to the computational independence of the resampling or permutation iterations, which has induced many statistics departments to establish their own computer clusters. An alternative is to rent computing resources in the cloud, e.g. at Amazon Web Services. Objectives: In this a

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TANG, QIANG. "SCALING BEHAVIOR OF DIFFUSION LIMITED AGGREGATION IN PERCOLATION CLUSTER." Modern Physics Letters B 22, no. 07 (2008): 507–13. http://dx.doi.org/10.1142/s0217984908015036.

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This paper presents a computer model of diffusion limited aggregation (DLA) in percolation cluster. Simulation of the aggregation clusters in percolation cluster with varying occupancy probability is performed, and their fractal dimension and multifractal spectrum are obtained. The simulation results show that the percolation cluster has stronger effects on the aggregation clusters' pattern structure when occupancy probability is smaller. The dimension Df of aggregation clusters increases together with the increase of occupancy probability. Furthermore, the multifractal spectra f(α) curve beco

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Tasnim, Sumaira, Ashfaqur Rahman, Amanullah Maung Than Oo, and Md Enamul Haque. "Wind Power Prediction Using Cluster Based Ensemble Regression." International Journal of Computational Intelligence and Applications 16, no. 04 (2017): 1750026. http://dx.doi.org/10.1142/s1469026817500262.

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Accurate prediction of wind power is of vital importance for demand management. In this paper, we adopt a cluster-based ensemble framework to predict wind power. Natural groups/clusters exist in datasets and learning algorithms benefit from group/cluster wise learning — a philosophy that is not well explored for wind power prediction. The research presented in this paper investigates this philosophy to predict wind power by using an ensemble of regression models on natural clusters within wind data. We have conducted a series of experiments on a large number of locations across Australia and a

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2019, Sentikom. "KLASIFIKASI MINAT SISWA UNTUK PROGRAM STUDI JURUSAN TEKNOLOGI INFORMASI - POLITEKNIK NEGERI SAMARINDA MENGGUNAKAN METODE FUZZY C-MEANS CLUSTERING." Jurnal Komputer dan Informatika 8, no. 1 (2020): 53–62. http://dx.doi.org/10.35508/jicon.v8i1.2184.

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Students who have graduated from high school or vocational high school will continue to a higher level such as Samarinda State Polytechnic. Samarinda State Polytechnic consists of several Departments including Information Technology majors. The Information Technology Department has 4 Study Programs including; D3 Informatics Engineering, D3 Computer Engineering, D4 Multimedia Information Technology and D4 Computer Technology Engineering. This research was conducted by classifying specialization of students who would continue their studies to the Department of Information Technology, Polytechnic

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Lujun, Shang. "Cluster." ACM SIGPLAN Notices 26, no. 1 (1991): 57–74. http://dx.doi.org/10.1145/122203.122208.

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CHAIBI, AMINE, MUSTAPHA LEBBAH, and HANANE AZZAG. "GROUP OUTLIER FACTOR: A NEW SCORE USING SELF-ORGANISING MAP FOR GROUP-OUTLIER AND NOVELTY DETECTION." International Journal of Computational Intelligence and Applications 12, no. 02 (2013): 1350010. http://dx.doi.org/10.1142/s1469026813500107.

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This paper describe a new concept of "cluster outlier-ness". In order to quantify it, we propose a relative isolation score named group outlier factor (GOF). GOF is a score, which is computed during a clustering process using self-organizing maps. The main difference between GOF and existing methods is that, being an outlier is not associated to a single pattern but to a cluster. Thus, an outlier factor (OF) with respect to each cluster is computed for each new sample and compared to the GOF score associated for each cluster. OF is used as a novelty detection classifier. This approach allows t

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Li, Xing Yu, and Ting Ting Jiang. "Research on Computer Cluster Load Balancing Mechanism." Advanced Materials Research 989-994 (July 2014): 4269–72. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4269.

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Currently it is difficult to use a single network computer application server to meet the demand of concurrent access to a large number of users. It is an ideal way to introduce in the cluster technology in the network for a computer system to solve this problem. In this paper, network computer server cluster on the basis of the existing network computer system is designed and key issues are studied.

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FOGGIA, PASQUALE, GENNARO PERCANNELLA, CARLO SANSONE, and MARIO VENTO. "A GRAPH-BASED ALGORITHM FOR CLUSTER DETECTION." International Journal of Pattern Recognition and Artificial Intelligence 22, no. 05 (2008): 843–60. http://dx.doi.org/10.1142/s0218001408006557.

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In some Computer Vision applications there is the need for grouping, in one or more clusters, only a part of the whole dataset. This happens, for example, when samples of interest for the application at hand are present together with several noisy samples. In this paper we present a graph-based algorithm for cluster detection that is particularly suited for detecting clusters of any size and shape, without the need of specifying either the actual number of clusters or the other parameters. The algorithm has been tested on data coming from two different computer vision applications. A compariso

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Lawless, Kimberly A., and Jonna M. Kulikowich. "Understanding Hypertext Navigation through Cluster Analysis." Journal of Educational Computing Research 14, no. 4 (1996): 385–99. http://dx.doi.org/10.2190/dvap-de23-3xmv-9mxh.

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Hypertext documents are unlike traditional text for not only do they represent a computer-based medium, but also readers can process the hypertext in a nonlinear, random access fashion. The ability to navigate through hypertext sometimes presents individuals with difficulty perhaps because these readers do not possess adequate domain knowledge or interest in the topics encountered. This study was designed to inspect the navigational profiles of participants as they process a hypertext document. Using cluster analysis, three performance profiles emerged: 1) knowledge seekers, 2) feature explore

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Humahorbo, Lamhot Fransiskus, Sundari Retno Andani, and Dedi Suhendro. "Penerapan Algoritma K-Means dalam Mengkluster Persentase Rumah Tangga yang Memiliki Komputer Berdasarkan Provinsi." Prosiding Seminar Nasional Riset Information Science (SENARIS) 1 (July 9, 2019): 537. http://dx.doi.org/10.30645/senaris.v1i0.60.

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The development of computers is no stranger to the among of people in the modern era, the easier it is to find and obtain information with various means of information that we need to support various activities carried out, both from newspapers, books, and the internet through computers. Households have computers that in fact are a family sphere which consists of fathers, mothers and children who own or have a computer (PC) in a household. But from the percentage data of the Central Bureau of Statistics (BPS) 2012-2016 in the provinces and rural areas in Indonesia, it shows that there are stil

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HE, Chun-shan. "Energy-saving control of parallel computer cluster." Journal of Computer Applications 31, no. 6 (2012): 1716–18. http://dx.doi.org/10.3724/sp.j.1087.2011.01716.

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Merkulov, A. I., A. Yu Lavrov, and D. S. Burkov. "Features computer simulation cluster charactiristics electromagnetic converters." VESTNIK of the Samara State Aerospace University, no. 2(44) (October 24, 2014): 98. http://dx.doi.org/10.18287/1998-6629-2014-0-2(44)-98-104.

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Lyngå, Gösta. "Computer-based catalogue of open-cluster data." Symposium - International Astronomical Union 106 (1985): 143–44. http://dx.doi.org/10.1017/s0074180900242241.

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The third edition of the computer-based catalogue of open-cluster data has now been produced and is disseminated through the Centre de Données Stellaires, 11 rue de l'Université, F-67000 Strasbourg, France. It is also available through World Data Center A, NASA, Greenbelt, MD 20771, USA.

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Sokolova, V. V., and O. M. Zamyatina. "The simulation model of the computer cluster." Journal of Physics: Conference Series 803 (January 2017): 012155. http://dx.doi.org/10.1088/1742-6596/803/1/012155.

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Kostrov, B. V., V. N. Ruchkin, and A. N. Kolesenkov. "INTELLIGENT CLUSTER PARALLELLIZM COMPUTER OF NEUROPROCESSOR SYSTEMS." Vestnik of Ryazan State Radio Engineering University 61 (2017): 60–66. http://dx.doi.org/10.21667/1995-4565-2017-61-3-60-66.

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Schwardmann, U. "Nachtschicht der KursPCs: Computer-Cluster unter Linux." PIK - Praxis der Informationsverarbeitung und Kommunikation 23, no. 2 (2000): 98–100. http://dx.doi.org/10.1515/piko.2000.98.

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Skrzypek, M., and Z. Gburski. "Fullerene cluster between graphite walls—Computer simulation." Europhysics Letters (EPL) 59, no. 2 (2002): 305–10. http://dx.doi.org/10.1209/epl/i2002-00242-8.

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Belashchenko, D. K. "Cluster Mechanism of Homogeneous Crystallization (Computer Study)." International Journal of Thermophysics 29, no. 6 (2008): 2169–78. http://dx.doi.org/10.1007/s10765-008-0534-6.

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Yamamura, Yasunori, Isao Yamada, and Toshinori Takagi. "Computer studies of ionized cluster beam deposition." Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 37-38 (February 1989): 902–5. http://dx.doi.org/10.1016/0168-583x(89)90324-8.

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Bayirli, Mehmet. "Numerical Approaches of Cluster Statistics for Stochastic Manganese Deposits." Zeitschrift für Naturforschung A 69, no. 10-11 (2014): 581–88. http://dx.doi.org/10.5560/zna.2014-0054.

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AbstractIn terms of origin, the most important manganese deposits are sedimentary deposits which grow on the surface and/or fractures of the natural magnesite ore. They reveal various morphological characteristic according to their location in origin. Some of them may be fractal in appearance. Although several studies have been completed with regards to their growth mechanism, it may be safe to say that their cluster statistics and scaling properties have rarely been subject an academic scrutiny. Hence, the subject of this study has been designed to calculate cluster statistics of manganese de

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Palacios, Diago, and Tardaguila. "A Non-Invasive Method Based on Computer Vision for Grapevine Cluster Compactness Assessment Using a Mobile Sensing Platform under Field Conditions." Sensors 19, no. 17 (2019): 3799. http://dx.doi.org/10.3390/s19173799.

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Grapevine cluster compactness affects grape composition, fungal disease incidence, and wine quality. Thus far, cluster compactness assessment has been based on visual inspection performed by trained evaluators with very scarce application in the wine industry. The goal of this work was to develop a new, non-invasive method based on the combination of computer vision and machine learning technology for cluster compactness assessment under field conditions from on-the-go red, green, blue (RGB) image acquisition. A mobile sensing platform was used to automatically capture RGB images of grapevine

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Zhang, Zhi Chun, Song Wei Li, Wei Ren Wang, Wei Zhang, and Li Jun Qi. "Single Chip Microcomputer Cluster Management." Advanced Materials Research 933 (May 2014): 584–89. http://dx.doi.org/10.4028/www.scientific.net/amr.933.584.

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This paper presents a system in which the cluster devices are controlled by single-chip microcomputers, with emphasis on the cluster management techniques of single-chip microcomputers. Each device in a cluster is controlled by a single-chip microcomputer collecting sample data sent to and driving the device by driving data received from the same cluster management computer through COMs. The cluster management system running on the cluster management computer carries out such control as initial SCM identification, run time slice management, communication resource utilization, fault tolerance a

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Klassmann, Alexander. "Cluster–Cluster Correlations in the Two-Dimensional Stationary Ising-Model." International Journal of Modern Physics C 08, no. 02 (1997): 269–72. http://dx.doi.org/10.1142/s0129183197000242.

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Hamasuna, Yukihiro, Shusuke Nakano, Ryo Ozaki, and and Yasunori Endo. "Cluster Validity Measures Based Agglomerative Hierarchical Clustering for Network Data." Journal of Advanced Computational Intelligence and Intelligent Informatics 23, no. 3 (2019): 577–83. http://dx.doi.org/10.20965/jaciii.2019.p0577.

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The Louvain method is a method of agglomerative hierarchical clustering (AHC) that uses modularity as the merging criterion. Modularity is an evaluation measure for network partitions. Cluster validity measures are also used to evaluate cluster partitions and to determine the optimal number of clusters. Several cluster validity measures are constructed considering the geometric features of clusters. These measures and modularity are considered to be the same concept in the viewpoint of evaluating cluster partitions. In this paper, cluster validity measures based agglomerative hierarchical clus

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Yang, Guisong, Lijun Wang, Linhua Jiang, and Xingyu He. "Biased trajectory dissemination of uncontrolled mobile sinks for event collection in wireless sensor networks." International Journal of Distributed Sensor Networks 12, no. 12 (2016): 155014771668203. http://dx.doi.org/10.1177/1550147716682038.

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Considering the social properties of mobile sinks, we propose a biased trajectory dissemination of uncontrolled mobile sinks for event collection in wireless sensor networks. In biased trajectory dissemination of uncontrolled mobile sink, we first divide the whole network into clusters which can be managed by cluster heads that are elected in turn for intra-cluster event collection and inter-cluster communication. Second, for a mobile sink, we further divide the clusters it visits into biased clusters and non-biased clusters according to its staying probability. The mobile sink will send its m

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MIŠIĆ, JELENA, VOJISLAV B. MIŠIĆ, and CAROL J. FUNG. "INTERCONNECTING 802.15.4 CLUSTERS IN MASTER-SLAVE MODE USING GUARANTEED TIME SLOTS AND ACKNOWLEDGED TRANSFERS: QUEUEING THEORETIC ANALYSIS." Journal of Interconnection Networks 07, no. 01 (2006): 117–31. http://dx.doi.org/10.1142/s0219265906001624.

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Individual IEEE 802.15.4 clusters with separate coordinators can be interconnected to form larger sensor networks. In this paper, we investigate the performance of two 802.15.4 beacon enabled clusters interconnected in a master-slave manner. In this setup, the cluster coordinator of the source cluster periodically visits the sink cluster as an ordinary node, thus performing the bridging function. The bridge delivers its data to the sink coordinator using the dedicated slots allocated by the sink coordinator. We investigate the performance of the cluster, in particular the impact of the number

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Jeong, Ji-wook, Seung-Hoon Chae, Eun Young Chae, Hak Hee Kim, Young-Wook Choi, and Sooyeul Lee. "Three-Dimensional Computer-Aided Detection of Microcalcification Clusters in Digital Breast Tomosynthesis." BioMed Research International 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/8651573.

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We propose computer-aided detection (CADe) algorithm for microcalcification (MC) clusters in reconstructed digital breast tomosynthesis (DBT) images. The algorithm consists of prescreening, MC detection, clustering, and false-positive (FP) reduction steps. The DBT images containing the MC-like objects were enhanced by a multiscale Hessian-based three-dimensional (3D) objectness response function and a connected-component segmentation method was applied to extract the cluster seed objects as potential clustering centers of MCs. Secondly, a signal-to-noise ratio (SNR) enhanced image was also gen

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Potuzak, Tomas. "Methods for division of road traffic network for distributed simulation performed on heterogeneous clusters." Computer Science and Information Systems 10, no. 1 (2013): 321–48. http://dx.doi.org/10.2298/csis120601006p.

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The computer simulation of road traffic is an important tool for control and analysis of road traffic networks. Due to their requirements for computation time (especially for large road traffic networks), many simulators of the road traffic has been adapted for distributed computing environment where combined power of multiple interconnected computers (nodes) is utilized. In this case, the road traffic network is divided into required number of sub-networks, whose simulation is then performed on particular nodes of the distributed computer. The distributed computer can be a homogenous (with no

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