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Journal articles on the topic 'Matlab-cluster'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Kovarik, Martin, and Petr Klimek. "Cluster Analysis in MATLAB." Informační Bulletin České statistické společnosti 22, no. 1 (2011): 20–27. http://dx.doi.org/10.5300/ib/2011-1/20.

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Alonso, Andrés M. "JMASM23: Cluster Analysis In Epidemiological Data (Matlab)." Journal of Modern Applied Statistical Methods 5, no. 1 (2006): 273–80. http://dx.doi.org/10.22237/jmasm/1146457320.

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3

Hang, Gui Yun, Wen Li Yu, Tao Wang, Jin Tao Wang, and Zhen Li. "Motion Simulation of Cluster Warhead Based on MATLAB." Advanced Materials Research 1051 (October 2014): 951–55. http://dx.doi.org/10.4028/www.scientific.net/amr.1051.951.

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External trajectory equations of a certain cluster warhead were established according to the analysis of force during the motion process. The distribution on ground and some related motion parameters were got by MATLAB to solve the external trajectory equations. The influence of some factors on the distribution and terminal motion parameters were researched. The results show that the dispersion height and dispersion velocity are the most important factors. This paper can provide some reference for the research on the distribution of cluster warhead and determining operational scheme.

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Arif, Abdul, and Ratna Christyanti. "Clustering Calon Penerima Zakat Menggunakan Metode K-Means." SMARTICS Journal 8, no. 2 (2022): 31–37. http://dx.doi.org/10.21067/smartics.v8i2.7531.

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Zakat dikeluarkan apabila telah mampu dan hartanya telah mencapai nishab. Dana zakat dikumpulkan dari para pemberi zakat (muzakki) untuk kemudian disalurkan kepada penerima zakat (mustahik). Permasalahan yang sering timbul saat penyaluran zakat yaitu tidak tepatnya penentuan mustahik. Hal ini terjadi karena kesalahan pembagian bantuan. Oleh karena itu, tujuan dari penelitan ini yaitu untuk mengembangkan sebuah aplikasi berbantu GUI Matlab untuk membantu menentukan klasterisasi kemiskinan pada penduduk calon mustahik menggunakan algoritma K-Means. Tahapan metode pada penelitian ini meliputi 1)

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Todd, Clifford S., Tivadar M Toth, and Róbert Busa-Fekete. "GraphClus, a MATLAB program for cluster analysis using graph theory." Computers & Geosciences 35, no. 6 (2009): 1205–13. http://dx.doi.org/10.1016/j.cageo.2008.05.007.

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Herlawati, Herlawati, and Rahmadya Trias Handayanto. "Penggunaan Matlab dan Python dalam Klasterisasi Data." Jurnal Kajian Ilmiah 20, no. 1 (2020): 103–18. http://dx.doi.org/10.31599/jki.v20i1.85.

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Abstract  Organizations need to dig through the data clustering process, both past data and data from the internet. Sometimes the data has to be re-clustered to match the actual conditions. Therefore, it is necessary to prepare clustering support equipment. In this study the K-Means method was chosen for comparing two technical computational languages, i.e. Matlab and Python which are currently in great demand by researchers and can be used by organizations for a clustering process. This study showed both Matlab and Python have enough libraries (libraries) and toolboxes to help use

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Fadhilla, Eky Nur, Zelvia Monica, Farrah Anis Fazliatul Adnan, Jong Soo Rhee, and Dianta Ginting. "Fuel Efficiency Evaluation of Automatic Motorcycles in Indonesia Using MATLAB-Based Clustering." International Journal of Innovation in Mechanical Engineering and Advanced Materials 7, no. 2 (2025): 64. https://doi.org/10.22441/ijimeam.v7i2.31577.

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The continuous rise in fuel prices in Indonesia has made fuel efficiency a crucial factor for consumers when selecting vehicles, particularly motorcycles. Automatic scooters with engine capacities below 160 cc have become increasingly popular in urban areas due to their fuel-saving benefits. This study aims to analyze the influence of engine capacity, vehicle weight, and engine torque on the fuel consumption of automatic scooters with engine capacities ranging from 109 cc to 156.9 cc. The study also considers additional performance parameters, including average fuel consumption, power output,

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Karpov, A. V., and O. V. Komogortsev. "Aspects of MATLAB usage on computational cluster for solving of biometrics problems." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 1. Mathematica. Physica, no. 1 (June 5, 2012): 42–48. http://dx.doi.org/10.15688/jvolsu1.2012.1.6.

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José-García, Adán, and Wilfrido Gómez-Flores. "CVIK: A Matlab-based cluster validity index toolbox for automatic data clustering." SoftwareX 22 (May 2023): 101359. http://dx.doi.org/10.1016/j.softx.2023.101359.

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Annisa, Karin, Budi Serasi Ginting, and Mili Alfhi Syar. "PENERAPAN DATA MINING PENGELOMPOKAN DATA PENGGUNA AIR BERSIH BERDASARKAN KELUHANNYA MENGGUNAKAN METODE CLUSTERING PADA PDAM LANGKAT." Jurnal Sistem Informasi Kaputama (JSIK) 6, no. 2 (2022): 165–79. http://dx.doi.org/10.59697/jsik.v6i2.167.

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Permasalahan pelanggan memang sangat kompleks, oleh karena itu harus ditangani secara baik, jelas, dan tuntas. Pelayanan yang baik dari suatu perusahaan dapat menunjukan profesionalisme perusahaan itu sendiri, artinya keseriusan, kepastian waktu, ketepatan waktu dan hasil kerja yang dapat dipertanggung jawabkan dalam menyelesaikan semua permasalahan dapat membuktikan kualitas suatu perusahaan. Clustering merupakan proses partisi satu set objek data ke dalam himpunan bagian yang disebut dengan cluster. Objek yang di dalam cluster memiliki kemiripan karakteristik antar satu sama lainnya dan berb

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Christian, Ryan, and Deny Jollyta. "WEB-BASED CLUSTER OPTIMIZATION USING K-MEDOIDS AND DAVIES BOULDIN INDEX." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 9, no. 1 (2022): 109–16. http://dx.doi.org/10.33330/jurteksi.v9i1.1855.

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Abstract: Clustering data has always been a fascinating subject to research numerous perspectives. A variety of knowledge is produced by the calculating process utilizing various algorithms. The genesis of cluster optimization is based on differences of opinion about the cluster's results. In general, cluster and optimization findings are generated using software such as Matlab, RapidMiner, and programming languages like Python. Users, however, have not been satisfied with the results so far. The various outcomes are the primary motivations for continuing to create and develop applications. Th

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Suman, Deepak, and Prof Manish Kumar. "LEACH with Dynamic Sink Approach by applying Energy and Distance factor in determining Sink Position and Cluster Heads in Wireless Sensor Networks." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 008 (2024): 1–11. http://dx.doi.org/10.55041/ijsrem36982.

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Wireless sensor network is a network that consists of large number of small nodes .The major aspect for concern in this field is energy. LEACH protocol has been proven to produce handsome result as per energy criteria is concerned. In this paper, we propose a method ‘LEACH with Dynamic Sink Approach’ in which we improve the LEACH and reduces the energy consumption by using distance and energy factor to determine the cluster head and sink position after each round. The position of the sink is change after each round according to the energy left in the node and the cluster head is selected accor

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Serik, Meruert, Nursaule Karelkhan, Jaroslav Kultan, and Zhandos Zulpykhar. "Setting Up and Implementation of the Parallel Computing Cluster in Higher Education." International Journal of Emerging Technologies in Learning (iJET) 14, no. 06 (2019): 4. http://dx.doi.org/10.3991/ijet.v14i06.9736.

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In this article, we describe in detail the setting up and implementation of the parallel computing cluster for education in the Matlab environment and how we solved the problems arising on this way. We also describe the comparative analysis of parallel computing cluster by the example of matrix multiplication by a vector with large dimensions. First calculations were performed on one computer, and then on a parallel computing cluster. In the experiment, we proved the effectiveness of parallel computing and the necessity of the setting up of the parallel computing cluster. We hope that the crea

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14

Zhao, Xiao Hu, Zheng Dong Wang, Zhong Ling Wang, and Qian Qian Zhang. "The Study of Event-Driven Clustering Routing Algorithm for WSN in the Coal Mine Goaf." Advanced Materials Research 204-210 (February 2011): 932–37. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.932.

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Monitoring coal goaf mainly is arrangement of the wireless sensor network node in goaf to monitor the change of gas concentration and environmental temperature. This paper presents a clustering routing algorithm based on event-driven. In conventional circumstances, we adopt an improved LEACH algorithm. In the case of an event occurs, the nodes within the event region form a sub-cluster automatically, electing a cluster head node in cluster center. Cluster head after fusion data, in the direction of the shortest distance with the sink node forms a series of dynamic clustering and transmits the

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Sitepu, Ruine Buana Br, Achmad Fauzi, and Rusmin Saragih. "Clustering Disease on Settlements Inhabitant In place seedy With Use Clustering Method." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 3, no. 1 (2023): 148–56. http://dx.doi.org/10.59934/jaiea.v3i1.275.

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Residents living in slum areas often face serious problems related to public health, where the prevalence of disease tends to be high and its spread is difficult to control. The impact of the formation of slums for the community is that safety is threatened, health deteriorates, and social conditions worsen, causing many diseases for people living in slums. Therefore, this study aims to identify patterns and clusters of diseases that exist in residential areas in slums Binjai city using clustering method. The K-Means Algorithm clustering method was chosen because it is able to group data based

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Mou, Qi Feng, and Xi Ren Sun. "The Research on Positions Distribution in Airport Operation Command Simulation System." Advanced Engineering Forum 6-7 (September 2012): 304–8. http://dx.doi.org/10.4028/www.scientific.net/aef.6-7.304.

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This paper proposes a new position distribution method——Information Flow Configuration Method Based on Fuzzy Clustering Analysis, aiming at improving the precision and reliability of the airport operation command simulation system. It analyzed samples through the fuzzy clustering method, with the operation command information used as the clustering samples, and 7 kinds of information attribute used as clustering index. Then by using Matlab, it realized the cluster of the command information, and the cluster pedigree chart was drawn as well. At last, the correlation coefficient confirms that th

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Ahmad, Tanveer, Xue Jun Li, Boon-Chong Seet, and Juan-Carlos Cano. "Social Network Analysis Based Localization Technique with Clustered Closeness Centrality for 3D Wireless Sensor Networks." Electronics 9, no. 5 (2020): 738. http://dx.doi.org/10.3390/electronics9050738.

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In this paper, we proposed a new wireless localization technique based on the ideology of social network analysis (SNA), to study the different properties of networks as a graph. Centrality is a main concept in SNA, so we propose using closeness centrality (CC) as a measurement to denote the importance of the node inside the network due to its geo-location to others. The node with highest degree of CC is chosen as a cluster heads, then each cluster head can form its trilateration process to collect data from its cluster. The selection of closest cluster based on CC values, and the unknown node

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Xie, Xiao Ling, Yue Long Zhao, and Min Pan. "A Request Distribution Strategy Based on Static Time Interval." Applied Mechanics and Materials 155-156 (February 2012): 153–56. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.153.

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Cluster has become a new generation of distributed system. Among the server cluster technologies, request distribution technology is used to distribute requests among server nodes, providing support to large-scale concurrent access to server cluster. In order to overcome the weakness of existing request distribution strategies for server cluster in average response time and computation cost, this paper proposes a request distribution strategy based on static time interval. Its basic idea is that it divides the update interval into several subintervals and introduces randomness into the selecti

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19

Li, Xue. "Research on tourism industrial cluster and information platform based on Internet of things technology." International Journal of Distributed Sensor Networks 15, no. 7 (2019): 155014771985884. http://dx.doi.org/10.1177/1550147719858840.

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With the continuous development of Internet of things technology, the tourism industry cluster based on the Internet of things platform has gradually formed, and the resource integration mechanism of industrial clusters under the Internet of things platform has gradually become a research hotspot. Starting from the theory of niche research in tourism industry cluster, this article improves the mode of industrial clusters through the Internet of things platform. Then, combining resource integration game model, the resource integration mechanism of Internet of things tourism industry cluster is

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20

Khunteta, Ajay, and Anurag Bajpai. "GENETIC ALGORITHM WITH LEACH PROTOCOL FOR CLUSTER HEAD SELECTION IN WIRELESS SENSOR NETWORKS." ICTACT Journal on Communication Technology 11, no. 2 (2020): 2182–86. https://doi.org/10.21917/ijct.2020.0322.

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Wireless Sensor Network (WSN) is the deployed randomly and on the far places to sense information. The security, quality of service and energy consumption is the major issues of WSN. To minimize the consumption of higher amount of energy in these networks, clustering is applied. The Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol is used for the cluster head selection in the network. The cluster head is selected based on the energy consumption and distance to base station. A node is selected as Cluster Head (CH) if it has the highest amount of energy and the least distance from base

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21

Rana, Deepika, and Mamta Arora. "Energy Efficient Cluster-Based Routing Protocol in Wireless Sensor Network using Flower Pollination Algorithm." International Journal of Electrical and Electronics Research 4, no. 3 (2016): 102–9. http://dx.doi.org/10.37391/ijeer.090308.

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Main ambition of wireless sensor networks (WSN) is to exploit network lifetime and stability periods. Flower Pollination Algorithm (FPA) is uses to elect the cluster head (CH) in set up phase of WSN such that the intra cluster average distance between the member nodes and their respective CHs is minimized and the sum of ratio of residual energy of alive nodes in cluster or energy level of CH is also minimized via maximized. In the research, a Flower Pollination Algorithm based Energy Efficient Routing Protocol (EERPFPA) has been proposed to apply FPA the problem of electing the CH in the clust

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,Ifeoma, Ezeanya. "Energy Efficient Scheme for Wireless Sensor Network in Environment Monitoring." International Journal of Advanced Networking and Applications 15, no. 01 (2023): 5760–68. http://dx.doi.org/10.35444/ijana.2023.15102.

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As ad-hoc network, wireless sensor networks (WSN) have become increasingly common in several fields of human endeavours requiring information gathering and prediction in both military and civil operation. This work has presented modified energy efficient cluster based routing in wireless sensor networks for environment monitoring. The scheme introduces two level hierarchical routing protocol involving an active cluster head (CH) and associated cluster heads (CHs) that make up a head-set. A WSN work model was developed using MATLAB C code and with the proposed scheme. Simulations were carried o

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Zuo, Jinxin, Ruohan Cao, Jiahao Qi, et al. "A Hierarchical Blockchain-Based Trust Measurement Method for Drone Cluster Nodes." Drones 7, no. 10 (2023): 627. http://dx.doi.org/10.3390/drones7100627.

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In response to the challenge of low accuracy in node trust evaluation due to the high dynamics of entry and exit of drone cluster nodes, we propose a hierarchical blockchain-based trust measurement method for drone cluster nodes. This method overcomes the difficulties related to trust inheritance for dynamic nodes, trust re-evaluation of dynamic clusters, and integrated trust calculation for drone nodes. By utilizing a multi-layer unmanned cluster blockchain for trusted historical data storage and verification, we achieve scalability in measuring intermittent trust across time intervals, ultim

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Ahmadi, Mohammad, Hamid Faraji, and Hossien Zohrevand. "Clustering Algorithm to Reduce Power Consumptions for Wireless Sensor Networks." Advanced Materials Research 433-440 (January 2012): 5228–32. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5228.

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A sensor network has many sensor nodes with limited energy. One of the important issues in these networks is the increase of the life time of the network. In this article, a clustering algorithm is introduced for wireless sensor networks that considering the parameters of distance and remaining energy of each node in the process of cluster head selection. The introduced algorithm is able to reduce the amount of consumed energy in the network. In this algorithm, the nodes that have more energy and less distance from the base station more probably will become cluster heads. Also, we use algorith

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Nadila Rahmawati, Relita Buaton, and Indah Ambarita. "Klasifikasi Tingkat Kepuasan Masyarakat Penggunaan BPJS Kesehatan di Kota Binjai Menggunakan K-Means Clustering." Switch : Jurnal Sains dan Teknologi Informasi 2, no. 4 (2024): 86–98. http://dx.doi.org/10.62951/switch.v2i4.188.

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The health Social Security Administering Agency (BPJS) is a legal entity specifically assigned by the government to administer social security. Seen in the vision and mission of the Long Term Develompment Plan For the Health Sector 2005-2025, namely that the community is expacted to have the ability to access quality health services and also obtain heald insurance, namely that the community gets protection in meeting their basic health needs. Especially for the people of Binjai city, to see the level of satisfaction of peolbe using BPJS Health in the city of Binjai, it is necessary to build a

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Kanika, Bindal, and Raina Shalley. "Energy Efficient Routing Protocol for Wireless Sensor Network - LEACH." Advances in Research 10, no. 3 (2017): 1–7. https://doi.org/10.9734/AIR/2017/34245.

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<strong>Aim:</strong> Wireless Sensor Network is spatially distributed autonomous sensor to monitor physical and environmental conditions. Energy is the scarcest resource of WSN nodes, and it determines the lifetime of WSNs. For this reason, algorithms and protocols need to address the issues such as increased lifespan, fault tolerance and energy efficiency. For energy efficiency we have various routing protocol. One of them is HEEMCP Protocol which has been discussed in the below paper along with other protocols. <strong>Study Design: </strong>MATLAB is being used for simulating the networks.

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Lungu, Mihai, and Romulus Lungu. "Adaptive Neural Network-Based Satellite Attitude Control by Using the Dynamic Inversion Technique and a VSCMG Pyramidal Cluster." Complexity 2019 (January 6, 2019): 1–16. http://dx.doi.org/10.1155/2019/1645042.

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The paper presents an adaptive system for the control of small satellites’ attitude by using a pyramidal cluster of four variable-speed control moment gyros as actuators. Starting from the dynamic model of the pyramidal cluster, an adaptive control law is designed by means of the dynamic inversion method and a feed-forward neural network-based nonlinear subsystem; the control law has a proportional-integrator component (for the control of the reduced-order linear subsystem) and an adaptive component (for the compensation of the approximation error associated with the function describing the dy

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Vimal, Vrince, and Madhav J Nigam. "Estimation of Optimum Rendezvous Point for Mobile Sink (ORP-MS) in WSN." International Journal of Engineering & Technology 7, no. 3.12 (2018): 1322. http://dx.doi.org/10.14419/ijet.v7i3.12.17878.

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Clustering of the sensors in wireless sensor network is done to achieve energy efficiency. The nodes, which are unable to join any cluster, are referred to as isolated nodes and tend to transfer information straight to the base station. It is palpable that isolated nodes and cluster heads communicate with the base station and tend to exhaust their energy leaving behind coverage holes. In this paper, we propose the innovative clustering scheme using mobile sink approach to extend networks lifetime. The proposed (ORP-MS) algorithm is implemented in MATLAB 2017a and the results revealed that the

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Han, Ying, Guohong Chen, and Elena Poh. "Effects of Informal Contracts on Innovative Cooperation among Enterprises in Industrial Clusters: An Evolutionary Game Analysis." Discrete Dynamics in Nature and Society 2018 (October 23, 2018): 1–10. http://dx.doi.org/10.1155/2018/5267357.

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Industrial cluster theory has important guiding significance for regional industrial development and industrial agglomeration advantages. Cooperation among enterprises is the corner stone of industrial clusters. The purpose of the paper is to explore the effects of cluster informal contracts on cluster enterprises and the behavior of external partners. Based on the dynamic evolutionary game theory, this paper constructs a model, which incorporates several main factors influencing the innovative cooperation among local and external cluster enterprises. By calculating the replicator dynamics equ

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Jabbar, Mohanad Sameer, and Samer Saeed Issa. "Developed cluster-based load-balanced protocol for wireless sensor networks based on energy-efficient clustering." Bulletin of Electrical Engineering and Informatics 12, no. 1 (2023): 196–206. http://dx.doi.org/10.11591/eei.v12i1.4226.

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One of the most pressing issues in wireless sensor networks (WSNs) is energy efficiency. Sensor nodes (SNs) are used by WSNs to gather and send data. The techniques of cluster-based hierarchical routing significantly considered for lowering WSN’s energy consumption. Because SNs are battery-powered, face significant energy constraints, and face problems in an energy-efficient protocol designing. Clustering algorithms drastically reduce each SNs energy consumption. A low-energy adaptive clustering hierarchy (LEACH) considered promising for application-specifically protocol architecture for WSNs.

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Visa, Samson Bitrus, Caleb Gasin Sunday, and Abubakar Abdulkadir. "A Novel Clustering-Based Scheme for Wildfire Monitoring in Flying Ad Hoc Networks." Journal of Multidisciplinary Science: MIKAILALSYS 3, no. 1 (2025): 111–24. https://doi.org/10.58578/mikailalsys.v3i1.4512.

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This study addresses energy consumption limitations and network overhead in cluster formation within Flying Ad Hoc Networks (FANETs), a type of Wireless Sensor Network (WSN) commonly used for wildfire monitoring. FANETs consist of mobile nodes, represented by Unmanned Aerial Vehicles (UAVs), communicating in a self-organized manner, with clustering playing a crucial role in improving scalability and resource management. This work proposes an Energy Efficient Wildfire Monitoring Scheme (EEWMS) to optimize Cluster Head (CH) selection and reduce the energy costs of cluster formation. The scheme i

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Li, Shengqing, Simin Huang, Zhaoxu Luo, and Yuanming He. "Active Damper Frequency Division Control Method for Cluster Resonance of Photovoltaic Inverters." Journal of Physics: Conference Series 2136, no. 1 (2021): 012025. http://dx.doi.org/10.1088/1742-6596/2136/1/012025.

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Abstract Aiming at the harmonic resonance problem of photovoltaic inverter cluster system when it is incorporated into weak power grid, an active damper frequency division control method is proposed to suppress the harmonic resonance. Firstly, the voltage signal measured by the voltage transformer is separated according to the frequency, and then the harmonic conductance value of the frequency band is controlled respectively according to the harmonic voltage. Finally, the output current is feedback controlled by the generalized integral PI controller, so as to realize the impedance remolding o

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Chaurasiya, Harshita, and Dr Shivnath Ghosh. "Energy Efficient Evolutionary SEP Clustering Protocol for Wireless Sensor Network." SMART MOVES JOURNAL IJOSCIENCE 5, no. 1 (2019): 18–22. http://dx.doi.org/10.24113/ijoscience.v5i1.179.

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Wireless Sensors Networks (WSN) have become vital in many areas and critical applications. Some applications require a reliable network and less maintenance, especially the power consumption. The standard helps the overall network to reduce worries about the sensors power dissipation. Therefore, the longevity of the network is the main concern of the WSN. In this paper an evolutionary SEP protocol is designed and implemented in order to reduce energy consumption of the cluster based sensor network. For this cluster head election process is performed using genetic algorithm. Analysis and simula

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Oni, Riyen. "DATA MINING GROUPING LOCATIONS OF DRUG USERS BASED ON THEIR ADDICTION LEVEL." Journal of Mathematics and Technology (MATECH) 2, no. 2 (2023): 93–100. https://doi.org/10.63893/matech.v2i2.151.

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The problem that has now been declared a national disaster is the inappropriate and excessive use of drugs. Where this problem is a negative deviation that can be detrimental to the user, society, the State, and all aspects of life. The unfortunate thing is that these drug users are actually people who know the dangers of using these drugs, but for the sake of their lifestyle they are willing to bear all the consequences of using these drugs. By applying 20 alternative data samples of student data and providing a total of 3 clusters, and utilizing 3 main criteria as research in this proposal,

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Mostafa, Baghouri, Chakkor Saad, and Hajraoui Abderrahmane. "Firefly Algorithm Solution to Improving Threshold Distributed Energy Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks." IAES International Journal of Artificial Intelligence (IJ-AI) 6, no. 3 (2017): 91. http://dx.doi.org/10.11591/ijai.v6.i3.pp91-99.

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The improvement of the lifetime of heterogeneous wireless sensor networks is a challenge for many researches. One of the most important protocols to achieve this goal is to divide the network into clusters that run by a single node called cluster head and the others have attached. However, all nodes must form the cluster including the nearest nodes to the base station which should be excluded from the clustering process. Furthermore these nodes consume more energy since each member node communicates directly with their cluster head and not with the base station. To eliminate these notes from c

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Baghouri, Mostafa, Saad Chakkor, and Abderrahmane Hajraoui. "Firefly Algorithm Solution to Improving Threshold Distributed Energy Efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks." IAES International Journal of Artificial Intelligence (IJ-AI) 6, no. 3 (2017): 91–99. https://doi.org/10.5281/zenodo.4111674.

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The improvement of the lifetime of heterogeneous wireless sensor networks is a challenge for many researches. One of the most important protocols to achieve this goal is to divide the network into clusters that run by a single node called cluster head and the others have attached. However, all nodes must form the cluster including the nearest nodes to the base station which should be excluded from the clustering process. Furthermore these nodes consume more energy since each member node communicates directly with their cluster head and not with the base station. To eliminate these notes from c

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Baireddy, Ravinder Reddy, and R. Nagaraja. "A hybrid particle swarm optimization with multi-objective clustering for dermatologic diseases diagnosis." Journal of Intelligent Systems 31, no. 1 (2022): 876–90. http://dx.doi.org/10.1515/jisys-2022-0028.

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Abstract Effective and personalized treatment relies heavily on skin disease categorization. In the stratification of skin disorders, it is crucial to identify the subtypes of illnesses to provide an efficient therapy. To attain this aim, researchers have focused their attention on cluster algorithms for the stratification of skin disorders in recent decades. But, cluster algorithms have real-world drawbacks, including experimental noises, a large number of dimensions, and a poor ability to comprehend. Cluster algorithms, in particular, determine the quality of clusters using a single internal

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Kaur, Jaspreet, and Anita Khosla. "Simulation and harmonic analysis of hybrid distributed energy generation based microgrid system using intelligent technique." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 3 (2023): 1287. http://dx.doi.org/10.11591/ijeecs.v30.i3.pp1287-1296.

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Wind and solar photovoltaic (PV) based hybrid renewable energy generation are environmentally friendly and reasonable. This study describes a hybrid distributed energy generations (DEGs)-based microgrid framework where DC-DC converter, three-stage inverter with fuzzy logics control (FLC), and LC filter channel are coupled with the PV and wind energy. In India, wind and PV energies are affordable for hybrid power frameworks since they are ecological well-disposed and broadly accessible. Generally, these sources produce a fluctuating yield voltage that prompts harm to the working grid on a stead

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Jaspreet, Kaur, and Khosla Anita. "Simulation and harmonic analysis of hybrid distributed energy generation based microgrid system using intelligent technique." Simulation and harmonic analysis of hybrid distributed energy generation based microgrid system using intelligent technique 30, no. 3 (2023): 1287–96. https://doi.org/10.11591/ijeecs.v30.i3.pp1287-1296.

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Wind and solar photovoltaic (PV) based hybrid renewable energy generation are environmentally friendly and reasonable. This study describes a hybrid distributed energy generations (DEGs)-based microgrid framework where DC-DC converter, three-stage inverter with fuzzy logics control (FLC), and LC filter channel are coupled with the PV and wind energy. In India, wind and PV energies are affordable for hybrid power frameworks since they are ecological well-disposed and broadly accessible. Generally, these sources produce a fluctuating yield voltage that prompts harm to the working grid on a stead

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Salih, Fitri Hakeem M., Chun Hao Lee, Shahidan Radiman, and Kok Siong Khoo. "Nuclear structure study of two-neutron halo nucleus 19B in microscopic cluster model." Modern Physics Letters A 32, no. 11 (2017): 1750065. http://dx.doi.org/10.1142/s0217732317500651.

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The structure nucleus [Formula: see text] is investigated in the Microscopic Cluster Model, using three-body model [Formula: see text]. This model is used to investigate neutron halo features such as binding energy of neutron valence, root-mean-square (rms) of radius and core deformation. All the features are studied in configuration-T and -Y. In this study, theoretical framework is used in the MATLAB software to run the computational calculations. The results are compared with the experimental data.

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Wang, Yingying, Honglin Zhao, Deguo Wang, Minghua Xu, Marcelo Igor Lourenço, and Segen F. Estefen. "Modeling for the Optimization Evaluation of Layout Scenarios of Subsea Cluster Manifolds Considering Three Connection Types." Marine Technology Society Journal 48, no. 6 (2014): 98–111. http://dx.doi.org/10.4031/mtsj.48.6.6.

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AbstractBased on a connection matrix and a cost matrix, a mathematical model is presented to describe the optimization evaluation of the layout scenarios of subsea cluster manifolds in ocean engineering at the lowest cost. The connection facilities are considered, including jumpers, pipeline end terminations (PLETs), and infield flowlines. The dedicated series-iteration algorithms programed by MATLAB are conducted to solve this complex nonlinear 0‐1 programming problem. Additionally, numerical simulations are performed to demonstrate the validity of the model and the performance of its algorit

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Joshi, Kamini, and Sandeep Singh Kang. "Improved LEACH protocol using cache nodes for wireless sensor network." International Journal of Engineering & Technology 7, no. 2.27 (2018): 138. http://dx.doi.org/10.14419/ijet.v7i2.27.13690.

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The wireless sensor network is the decentralized type of network which can sense information and pass it to base station. The energy consumption is the major issue of WSN due to small of sensor nodes and far deployment of the network. The clustering is the efficient approach to increase lifetime of the sensor network. In the approach of clustering cluster head are selected for the data aggregation. The fuzzy logic rules are derived based on node energy, distance to base station for the cluster head selection, which increase lifetime of sensor nodes in the existing system. In this research work

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Aulia, Damai Aulia Br Karo, Yani Maulita, and I. Gusti Prahmana. "Clustering of Student Expertise Fields Using the K-Means Algorithm (Case Study: STMIK Kaputama Binjai)." Journal of Artificial Intelligence and Engineering Applications (JAIEA) 4, no. 1 (2024): 30–34. http://dx.doi.org/10.59934/jaiea.v4i1.541.

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Grouping students' fields of expertise in higher education is an important issue that can provide significant benefits for students and educational institutions. STMIK Kaputama is one of the universities that has students with various fields of expertise, but the absence of data that informs the field of expertise of students is very unfortunate. Research data was obtained through questionnaires distributed to students, which included information about study programs, Grade Point Average (GPA), and areas of expertise. Clustering analysis was conducted using Matlab software to validate and impl

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Ningsih, Nur Ema Tiana, Akim M. H. Pardede, and Siswan Syahputra. "DATA MINING DALAM PENGELOMPOKKAN JUMLAH DATA PRODUKTIVITAS TANAMAN PANGAN MENGGUNAKAN METODE CLUSTRING K-MEANS ( STUDI KASUS : BADAN PUSAT STATISTIK KOTA BINJAI)." Jurnal Sistem Informasi Kaputama (JSIK) 6, no. 2 (2022): 256–72. http://dx.doi.org/10.59697/jsik.v6i2.179.

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Dari data hasil survei pada Badan Pusat Statistik (BPS) Kota Binjai bahwa hasil panen dan produktivitas tanaman pangan bervariasi hasilnya. Disebabkan pada setiap daerah berbeda kondisinya baik itu dari segi faktor lahan, teknik panen, dan hasil panen, sehingga menyebabkan BPS kesulitan dalam mengetahui hasil jumlah produktivitas tanaman pangan dari setiap kecamatan. Untuk itu diperlukan penggelompokkan jumlah data produktivitas tanaman pangan. Dengan menggunakan k-means sehingga mudah dalam memperoleh informasi mengenai data akurat produktivitas tanaman pangan dari setiap kecamatan, sehingga

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Rajeswari, A. R., K. Kulothungan, Sannasi Ganapathy, and Arputharaj Kannan. "Trusted energy aware cluster based routing using fuzzy logic for WSN in IoT." Journal of Intelligent & Fuzzy Systems 40, no. 5 (2021): 9197–211. http://dx.doi.org/10.3233/jifs-201633.

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WSN plays a major role in the design of IoT system. In today’s internet era IoT integrates the digital devices, sensing equipment and computing devices for data sensing, gathering and communicate the data to the Base station via the optimal path. WSN, owing to the characteristics such as energy constrained and untrustworthy environment makes them to face many challenges which may affect the performance and QoS of the network. Thus, in WSN based IoT both security and energy efficiency are considered as herculean design challenges and requires important concern for the enhancement of network lif

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Sangeetha Komandur. "Low Energy Adaptive Clustering Hierarchical Leach Lifetime Analysis in Two- and Three-Dimensional Wireless Sensor Networks." Communications on Applied Nonlinear Analysis 32, no. 3s (2024): 163–76. https://doi.org/10.52783/cana.v32.2587.

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Among the key LEACH protocol approaches are techniques for dividing clusters eventually forming, flexible cluster establishing, and cluster header location modifying. Most target nodes will self-organize thanks to the cluster formation distribution technique. By evenly distributing energy dissipation among all nodes, the dynamic cluster structure and cluster head place algorithms ensure that the overall device’s entire life is renewed. The study examines The Low Energy Adaptive Clustering Hierarchical protocol (LEACH) was renewed from a 2-D and a 3-D environment in a wireless sensor network co

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Sun, Wen, Tao Ren, Wen Tao Qu, and San Min Wang. "Kinematic Analysis of the Slider-Crank Type Cluster well Pumping Unit (SCTCWPU) Based on Pro/Mechanism." Advanced Materials Research 774-776 (September 2013): 128–31. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.128.

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Centric slider-crank mechanism forms the main mechanism of slider-crank type cluster well pumping unit (SCTCWPU). The kinematic analysis is the basis of structure design of SCTCWPU. The kinematic analysis based on Pro/Mechanism is simple, intuitive ,reliable,accurate and easy to be modify. This paper presents the mechanism kinematics simulation of SCTCWPU based on Pro/Mechanism. In addition,a comparative motion analysis of SCTCWPU in Pro/Mechanism and MATLAB is made on the basis of actual working conditions.

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Liu, Guan Yu, Shan Li, and Yu Long Wang. "Part Family Formation Based on Clustering Algorithm and BP Network." Applied Mechanics and Materials 635-637 (September 2014): 1586–89. http://dx.doi.org/10.4028/www.scientific.net/amm.635-637.1586.

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To solve the problem of design and manufacturing on the production of many varieties of small batch, the parts grouping method that based on clustering algorithm, clustering validity index and BP neural network method for new parts is proposed. At first, mathematical model of part clustering is built, and parts grouping is based on the similarity of data and cluster centers which is calculated by Euclidean distance, then the effectiveness of parts group is tested by Function Index and optimal number of clusters group can be found. The algorithm is achieved by Matlab clustering toolbox, so the

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Rahiman, Amir Rizaan, Temitope Betty Williams, and Muhammad D. Zakaria. "Fine-tuning approach in metaheuristic algorithm to prolong wireless sensor networks nodes lifetime." Indonesian Journal of Electrical Engineering and Computer Science 28, no. 1 (2022): 365. http://dx.doi.org/10.11591/ijeecs.v28.i1.pp365-374.

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Wireless sensor networks (WSN) have evolved a vibrant and lively research field. It comprises numerous wise and low-power consumption devices for gathering the contiguous atmosphere's data. However, the energy dissipation matter that distorts network lifetime remains the challenge since the sensor node battery is non-rechargeable and irreplaceable. Clustering and routing protocol has become the furthermost solutions and invariably minimizes depletion and prolongs the sensor node lifetime. Such protocols have adopted metaheuristic algorithms to secure the efficiency of the clustering and routin

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Kaviarasan, S., and R. Srinivasan. "A Novel Spider Monkey Optimized Fuzzy C-Means Algorithm (SMOFCM) for Energy-Based Cluster-Head Selection in WSNs." International Journal of Electrical and Electronics Research 11, no. 1 (2023): 169–75. http://dx.doi.org/10.37391/ijeer.110124.

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AI is getting increasingly complex as a result of its widespread deployment, making energy efficiency in Wireless Sensor Network (WSN)-based Internet of Things (IoT) systems a highly difficult problem to solve. In energy-constrained networks, cluster-based hierarchical routing protocols are a very efficient technique for transferring data between nodes. In this paper, a novel Spider Monkey Optimized Fuzzy C-Means Algorithm (SMOFCM) is proposed to improve the lifetime of the network and less energy consumption. The proposed SMOFCM technique makes use of the Fuzzy C-means clustering framework to

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