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Journal articles on the topic 'Cluster Location Problem'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Chain, P., and S. Arunyanart. "Using cluster analysis for location decision problem." IOP Conference Series: Materials Science and Engineering 673 (December 10, 2019): 012086. http://dx.doi.org/10.1088/1757-899x/673/1/012086.

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Hosoda, Junko, and Takashi Irohara. "A cluster generation approach for location routing problem." Proceedings of Manufacturing Systems Division Conference 2018 (2018): 206. http://dx.doi.org/10.1299/jsmemsd.2018.206.

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Mirabi, Mohammad, and Parya Seddighi. "Hybrid ant colony optimization for capacitated multiple-allocation cluster hub location problem." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 32, no. 1 (2017): 44–58. http://dx.doi.org/10.1017/s0890060417000221.

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AbstractThe hub location problems involve locating facilities and designing hub networks to minimize the total cost of transportation (as a function of distance) between hubs, establishing facilities and demand management. In this paper, we consider the capacitated cluster hub location problem because of its wide range of applications in real-world cases, especially in transportation and telecommunication networks. In this regard, a mathematical model is presented to address this problem under capacity constraints imposed on hubs and transportation lines. Then, a new hybrid algorithm based on

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Moreno, José, Casiano Rodríguez, and Natividad Jiménez. "Heuristic cluster algorithm for multiple facility location-allocation problem." RAIRO - Operations Research 25, no. 1 (1991): 97–107. http://dx.doi.org/10.1051/ro/1991250100971.

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Tian, Xiao, Wei Zhang, and Jie Zhang. "Cross double-difference inversion for microseismic event location using data from a single monitoring well." GEOPHYSICS 81, no. 5 (2016): KS183—KS194. http://dx.doi.org/10.1190/geo2016-0198.1.

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The double-difference (DD) location method has long been applied for locating a cluster of earthquakes with data recorded at surface seismic stations. This method has also been used for locating microseismic events with multiple monitoring wells during hydraulic fracturing. We first extended the approach for locating a cluster of microseismic events with data recorded from a single well. To do this, we have reduced the 3D location problem to 2D by projecting all of the events onto a vertical ([Formula: see text]) plane, with a vertical [Formula: see text]-axis and a horizontal [Formula: see te

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Wagner, Bernd. "An exact solution procedure for a cluster hub location problem." European Journal of Operational Research 178, no. 2 (2007): 391–401. http://dx.doi.org/10.1016/j.ejor.2006.02.011.

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MacGregor, James N. "Effects of cluster location and cluster distribution on performance on the traveling salesman problem." Attention, Perception, & Psychophysics 77, no. 7 (2015): 2491–501. http://dx.doi.org/10.3758/s13414-015-0925-2.

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Faisol, Faisol, and Masdukil Makruf. "Distribusi Batik Madura Melalui Penerapan Generalized Vehicle Routing Problem (GVRP)." Jurnal Matematika "MANTIK" 3, no. 2 (2017): 101–4. http://dx.doi.org/10.15642/mantik.2017.3.2.101-104.

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Product distribution process is an effort to convey a product of consumer handlebar with a planned and programmed system. Cluster method is a grouping of the nearest market location, then analyzed the location of potential facilities through center of gravity. GVRP (Generalized Vehicle Routing Problem) is one of the algorithms in the cluster method [1]. In the GVRP describes the route determination to minimize the required distribution costs. GVRP is a generalization of VRP, so the point of the graph is partitioned into several sets of specific points, called clusters [2]. In this research, mo

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Masaeli, Nafiseh, Hamid Haj Seyed Javadi, and Elham Noori. "Optimistic Selection of Cluster Heads Based on Facility Location Problem in Cluster-Based Routing Protocols." Wireless Personal Communications 72, no. 4 (2013): 2721–40. http://dx.doi.org/10.1007/s11277-013-1176-y.

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Senne, Edson Luiz França, Marcos Antonio Pereira, and Luiz Antonio Nogueira Lorena. "A Decomposition Heuristic for the Maximal Covering Location Problem." Advances in Operations Research 2010 (2010): 1–12. http://dx.doi.org/10.1155/2010/120756.

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This paper proposes a cluster partitioning technique to calculate improved upper bounds to the optimal solution of maximal covering location problems. Given a covering distance, a graph is built considering as vertices the potential facility locations, and with an edge connecting each pair of facilities that attend a same client. Coupling constraints, corresponding to some edges of this graph, are identified and relaxed in the Lagrangean way, resulting in disconnected subgraphs representing smaller subproblems that are computationally easier to solve by exact methods. The proposed technique is

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Moskvichev, Oleg, Sergei Nikishchenkov, and Elena Moskvicheva. "Optimization of production and transport infrastructure based on cluster analysis methods." E3S Web of Conferences 164 (2020): 03008. http://dx.doi.org/10.1051/e3sconf/202016403008.

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In order to solve the problems of optimizing production and transportation systems, a clustering procedure for objects is suggested. The procedure is a universal methodology for dividing a set of objects into subsets with their centers possessing optimal properties. At the same time, the use of point proximity metrics used in cluster analysis models the minimization of distances during transportation. If the volume of produced/extracted containerisable products of a production point is considered as the “weight” of each point, than the problem of minimizing transportation costs can be solved a

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Leszczyńska, Dorota, and Erick Pruchnicki. "Location of a multinational corporation in a cluster." Multinational Business Review 24, no. 2 (2016): 144–67. http://dx.doi.org/10.1108/mbr-07-2015-0033.

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Purpose A multinational company (MNC) looking to locate within a cluster is mainly interested in gaining access to scarce and highly valuable tacit knowledge. The transfer of such resources first requires sharing a certain degree of architectural and specific knowledge. This paper aims to examine the transfer of systemic technological expertise (specific tacit knowledge) that is incorporated into organisational practices (architectural knowledge). To quantify the level of knowledge transfer involved, the present study defines the architectural distance between the MNC and the cluster. Design/m

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Chandra, Saurabh, Manish Sarkhel, and Amit Kumar Vatsa. "Capacitated facility location–allocation problem for wastewater treatment in an industrial cluster." Computers & Operations Research 132 (August 2021): 105338. http://dx.doi.org/10.1016/j.cor.2021.105338.

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Hendry, C., J. Brown, H.-D. Ganter, and S. Hilland. "Industry Clusters as a Location for Technology Transfer and Innovation." Industry and Higher Education 15, no. 1 (2001): 33–41. http://dx.doi.org/10.5367/000000001101295461.

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The paper draws on a series of case studies of innovation in optoelectronics firms in Wales and the German state of Thuringia, in order to highlight the role of industry clusters in technology transfer and innovation. It begins by analysing relevant features of the industry at the national and regional levels, with the influence of policy on the development of the sector. It then uses data from fourteen cases to show how the focus of innovation and the needs of firms differ in the two regions. From this, a general model is constructed, to show how a localized cluster can contribute to innovati

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Carrizosa, Emilio, Nenad Mladenovic, and Raca Todosijevic. "Sum-of-squares clustering on networks." Yugoslav Journal of Operations Research 21, no. 2 (2011): 157–61. http://dx.doi.org/10.2298/yjor1102157c.

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Finding p prototypes by minimizing the sum of the squared distances from a set of points to its closest prototype is a well-studied problem in clustering, data analysis and continuous location. In this note, this very same problem is addressed assuming, for the first time, that the space of possible prototype locations is a network. We develop some interesting properties of such clustering problem. We also show that optimal cluster prototypes are not necessary located at vertices of the network.

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Erna, Erna, Muhammad Ardhya Bisma, and Darfial Guslan. "PENENTUAN LOKASI TPA MENGGUNAKAN METODE CLUSTERDI KOTA CIMAHI." Competitive 13, no. 1 (2018): 91. http://dx.doi.org/10.36618/competitive.v13i1.355.

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Masalah peningkatan volume sampah menjadi polemik besar di Masyarakat kota Cimahi, terutama terkait dengan kesulitan membuang sampah. Saat ini, Kota Cimahi hanya menyediakan 21 tempat Pembuangan Sampah (TPS) yang tersebar di 15 kelurahan dengan 1 TPA di Legok Nangka. Tentunya dengan jumlah penduduk yang tinggi, sangat diperlukan untuk ditambahkan lagi TPS dan TPA dalam menanggulangi permasalahan sampah yang dihadapi. Keterbatasan lahan membuat Pemerintah Kota (Pemkot) Cimahi kesulitan untuk menyediakan tempat pembuangan akhir sampah (TPA), sehingga masalah yang diangkat pada penelitian ini, ya

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Kamakshi, S., and V. S. Shankar Sriram. "Plummeting Broadcast Storm Problem in Highways by Clustering Vehicles Using Dominating Set and Set Cover." Sensors 19, no. 9 (2019): 2191. http://dx.doi.org/10.3390/s19092191.

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“Vehicular Ad-hoc Networks” (VANETs): As an active research area in the field of wireless sensor networks, they ensure road safety by exchanging alert messages about unexpected events in a decentralized manner. One of the significant challenges in the design of an efficient dissemination protocol for VANETs is the broadcast storm problem, owing to the large number of rebroadcasts. A generic solution to prevent the broadcast storm problem is to cluster the vehicles based on topology, density, distance, speed, or location in such a manner that only a fewer number of vehicles will rebroadcast the

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Yang, Zhen, and Wang Hong-jun. "Important Location Identification and Personal Location Inference Based on Mobile Subscriber Location Data Preparation of Camera-Ready Contributions to SCITEPRESS Proceedings." MATEC Web of Conferences 173 (2018): 03086. http://dx.doi.org/10.1051/matecconf/201817303086.

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As an emerging spatial trajectory data, mobile terminal location data can be widely used to analyze the behavior characteristics and interests of individuals or groups in smart cities, transportation planning and other civil fields. It can also be used to track suspects in anti-terrorism security and public opinion management. Aiming at the problem that it is difficult to determine suitable input parameters of clustering caused by different subscriber location data size and distribution difference, an improved density peak clustering algorithm is proposed and the performance of the improved al

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Lu, Xiaoling, Bharatendra Rai, Yan Zhong, and Yuzhu Li. "Cluster-Based Smartphone Predictive Analytics for Application Usage and Next Location Prediction." International Journal of Business Intelligence Research 9, no. 2 (2018): 64–80. http://dx.doi.org/10.4018/ijbir.2018070104.

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Prediction of app usage and location of smartphone users is an interesting problem and active area of research. Several smartphone sensors such as GPS, accelerometer, gyroscope, microphone, camera and Bluetooth make it easier to capture user behavior data and use it for appropriate analysis. However, differences in user behavior and increasing number of apps have made such prediction a challenging problem. In this article, a prediction approach that takes smartphone user behavior into consideration is proposed. The proposed approach is illustrated using data from over 30000 users from a leadin

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Saraeva, Ekaterina Georgievna. "Organizational management model of functioning transport and logistics cluster in Astrakhan region." Vestnik of Astrakhan State Technical University. Series: Marine engineering and technologies 2020, no. 3 (2020): 91–100. http://dx.doi.org/10.24143/2073-1574-2020-3-91-100.

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The article considers the urgent problem of strengthening the infrastructure and innovative development of the Russian Federation and the regions in today’s environment. Modernization of transport potential in future will have a positive impact on the regional development. Cluster policy in different fields, including transportation, is a trend in the formation and development of regions. The actuality of creating a transport and logistics cluster in the Astrakhan region has been proved taking into account the favorable geographical location of the region, high transit potential, historical lo

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Zhang, Gang Lin, Guang Can Liu, Wei Bing Chen, and Cheng Yang. "Optimal Power Consumption Analysis of Two-Level Hierarchical Model and Non-Hierarchical Model." Applied Mechanics and Materials 347-350 (August 2013): 1732–37. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.1732.

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Energy scarcity is one of the most critical problems that occur in wireless sensor networks compared to traditional networks. However, the problem has been partly solved by building the power consumption model of WSN. This paper is based on a simple wireless sensor network model, it gives the optimal location of the CH nodes in a cluster and the best parameter about how to divided the cluster amongst hierarchy networks. As shown last, the proposed scheme can save up to 95% of power consumption.

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Vasco, Don W., John E. Peterson, and Ernest L. Majer. "Nonuniqueness in traveltime tomography: Ensemble inference and cluster analysis." GEOPHYSICS 61, no. 4 (1996): 1209–27. http://dx.doi.org/10.1190/1.1444040.

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We examine the nonlinear aspects of seismic traveltime tomography. This is accomplished by completing an extensive set of conjugate gradient inversions on a parallel virtual machine, with each initiated by a different starting model. The goal is an exploratory analysis of a set of conjugate gradient solutions to the traveltime tomography problem. We find that distinct local minima are generated when prior constraints are imposed on traveltime tomographic inverse problems. Methods from cluster analysis determine the number and location of the isolated solutions to the traveltime tomography prob

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Venkateswarlu Kumaramangalam, Muni, Kandasamy Adiyapatham, and Chandrasekaran Kandasamy. "Zone-Based Routing Protocol for Wireless Sensor Networks." International Scholarly Research Notices 2014 (November 18, 2014): 1–9. http://dx.doi.org/10.1155/2014/798934.

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Extensive research happening across the globe witnessed the importance of Wireless Sensor Network in the present day application world. In the recent past, various routing algorithms have been proposed to elevate WSN network lifetime. Clustering mechanism is highly successful in conserving energy resources for network activities and has become promising field for researches. However, the problem of unbalanced energy consumption is still open because the cluster head activities are tightly coupled with role and location of a particular node in the network. Several unequal clustering algorithms

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Pan, Zhichen, Haoyao Chen, Silin Li, and Yunhui Liu. "ClusterMap Building and Relocalization in Urban Environments for Unmanned Vehicles." Sensors 19, no. 19 (2019): 4252. http://dx.doi.org/10.3390/s19194252.

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Map building and map-based relocalization techniques are important for unmanned vehicles operating in urban environments. The existing approaches require expensive high-density laser range finders and suffer from relocalization problems in long-term applications. This study proposes a novel map format called the ClusterMap, on the basis of which an approach to achieving relocalization is developed. The ClusterMap is generated by segmenting the perceived point clouds into different point clusters and filtering out clusters belonging to dynamic objects. A location descriptor associated with each

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Pinem, Agusta Praba Ristadi. "Web-Based Mapping Untuk Pemetaan Lokasi Kerusakan Jalan Raya Menggunakan Cluster Marker." Jurnal Sisfokom (Sistem Informasi dan Komputer) 7, no. 2 (2018): 93. http://dx.doi.org/10.32736/sisfokom.v7i2.566.

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Online mapping has developed rapidly over the past few years resulting to replace GIS functionality. This system allows users to use appliacation without using specialized GIS software. The system can receive data from multiple sources and display the map to all users. These developments bring web-based mapping technology. Web-based mapping using MapsAPI as third-party tools. MapsAPI allows system to mapping data in real time and real location. That information technology can support smart city program’s to solve several problem in a city like mapping the location of the damaged roads. Users o

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Jeong, Junyoung, Minjun So, and Ho-Yon Hwang. "Selection of Vertiports Using K-Means Algorithm and Noise Analyses for Urban Air Mobility (UAM) in the Seoul Metropolitan Area." Applied Sciences 11, no. 12 (2021): 5729. http://dx.doi.org/10.3390/app11125729.

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In this study, a combination of well-established algorithms and real-world data was implemented for the forward-looking problem of future vertiport network design in a large metropolitan city. The locations of vertiports were selected to operate urban air mobility (UAM) in the Seoul metropolitan area based on the population of commuters, and a noise priority route was created to minimize the number of people affected by noise using Aviation Environmental Design Tool (AEDT) software. Demand data were analyzed using survey data from the commuting population and were marked on a map using MATLAB.

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LAIKO, O. I., and S. I. KOVALENKO. "THE PROBLEM OF MESOECONOMIC SYNTHESIS OF CLUSTERS DEVELOPMENT AND INTERNATIONAL INTEGRATING FORMATION CONCEPTS." Economic innovations 22, no. 1(74) (2020): 111–21. http://dx.doi.org/10.31520/ei.2020.22.1(74).111-121.

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Topicality. Nowadays, global order is concentrating in the vicinity of great power poles. European Union with its growing economic significance becomes such a pole and faces a demand for development and implementation of a certain model of mutual relation between peripheral regions of different states, which could meet principles of the EU regional policy and facilitate newer forms of cooperation in “region-region” format. Increasing global instability problems at the beginning of XXI century demand for development newer forms of cross-border cooperation along with euroregions, such as “cross-

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Zhou, Mu, Kunjie Xu, Zengshan Tian, Haibo Wu, and Ruikang Shi. "Crowd-Sourced Mobility Mapping for Location Tracking Using Unlabeled Wi-Fi Simultaneous Localization and Mapping." Mobile Information Systems 2015 (2015): 1–14. http://dx.doi.org/10.1155/2015/416197.

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Due to the increasing requirements of the seamless and round-the-clock Location-based services (LBSs), a growing interest in Wi-Fi network aided location tracking is witnessed in the past decade. One of the significant problems of the conventional Wi-Fi location tracking approaches based on received signal strength (RSS) fingerprinting is the time-consuming and labor intensive work involved in location fingerprint calibration. To solve this problem, a novel unlabeled Wi-Fi simultaneous localization and mapping (SLAM) approach is developed to avoid the location fingerprinting and additional ine

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Bencan, Gong, Dong Panpan, Chen Peng, and Ren Dong. "Evolutionary game–based trajectory design algorithm for mobile sink in wireless sensor networks." International Journal of Distributed Sensor Networks 16, no. 3 (2020): 155014772091100. http://dx.doi.org/10.1177/1550147720911000.

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In wireless sensor networks, if sink node is stationary, the nodes close to sink will deplete energy faster than those in other areas. The unbalanced energy consumption among the nodes will lead to the energy hole problem, which shortens the network lifetime. To solve the problem, evolutionary game–based trajectory design algorithm for mobile sink in wireless sensor networks is proposed in this article. In evolutionary game model, the average residual energy of each cluster, average intra-cluster energy consumption, and average inter-cluster energy consumption are used to design utility functi

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Calamida, A., G. Bono, P. B. Stetson, et al. "A new method to estimate the ages of globular clusters: the case of NGC 3201." Proceedings of the International Astronomical Union 4, S258 (2008): 189–96. http://dx.doi.org/10.1017/s1743921309031846.

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AbstractWe devised a new method to estimate globular cluster absolute ages by adopting the knee of the bending of the lower main-sequence (MS) in the Near-Infrared (NIR)J,J-Kscolor-magnitude diagram. The color difference between this feature and the Turn-Off point is strongly correlated to the cluster age. This method is marginally affected by distance and reddening uncertainties, and by the possible occurrence of differential reddening. Furthermore, the knee location does not depend on the cluster age and it is a robust theoretical prediction. We adopted accurateJ,Ks-band photometry collected

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Banimelhem, Omar, Eyad Taqieddin, Moad Y. Mowafi, Fahed Awad, and Feda' Al-Ma'aqbeh. "Fuzzy Logic-Based Cluster Heads Percentage Calculation for Improving the Performance of the LEACH Protocol." International Journal of Fuzzy System Applications 4, no. 4 (2015): 100–118. http://dx.doi.org/10.4018/ijfsa.2015100106.

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In wireless sensor networks, cluster-based routing was proven to be the most energy-efficient strategy to deal with the scaling problem. In addition, selecting the proper number of clusters is a critical decision that can impose a significant impact on the energy consumption and the network lifetime. This paper presents FL-LEACH, a variant of the well-known LEACH clustering protocol, which attempts to relax the stringent strategy of determining the number of clusters used by LEACH via fuzzy logic decision-making scheme. This relates the number of clusters to a number of network characteristics

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Yang, Chao-Lung, and Thi Phuong Quyen Nguyen. "Constrained clustering method for class-based storage location assignment in warehouse." Industrial Management & Data Systems 116, no. 4 (2016): 667–89. http://dx.doi.org/10.1108/imds-09-2015-0361.

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Purpose – Class-based storage has been studied extensively and proved to be an efficient storage policy. However, few literature addressed how to cluster stuck items for class-based storage. The purpose of this paper is to develop a constrained clustering method integrated with principal component analysis (PCA) to meet the need of clustering stored items with the consideration of practical storage constraints. Design/methodology/approach – In order to consider item characteristic and the associated storage restrictions, the must-link and cannot-link constraints were constructed to meet the st

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Shin, Hong-Gi, Yong-Hoon Choi, and Chang-Pyo Yoon. "Movement Path Data Generation from Wi-Fi Fingerprints for Recurrent Neural Networks." Sensors 21, no. 8 (2021): 2823. http://dx.doi.org/10.3390/s21082823.

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The recurrent neural network (RNN) model, which is a deep-learning network that can memorize past information, is used in this paper to memorize continuous movements in indoor positioning to reduce positioning error. To use an RNN model in Wi-Fi-fingerprint based indoor positioning, data set must be sequential. However, Wi-Fi fingerprinting only saves the received signal strength indicator for a location, so it cannot be used as RNN data. For this reason, we propose a movement path data generation technique that generates data for an RNN model for sequential positioning from Wi-Fi fingerprint

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Salam, Abdu, Qaisar Javaid, and Masood Ahmad. "Bioinspired Mobility-Aware Clustering Optimization in Flying Ad Hoc Sensor Network for Internet of Things: BIMAC-FASNET." Complexity 2020 (September 7, 2020): 1–20. http://dx.doi.org/10.1155/2020/9797650.

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Flying ad hoc sensor network (FASNET) for Internet of Things (IoT) consists of multiple unmanned aerial vehicles (multi-UAVs) with high mobility, quick changes in topology, and diverse direction. The flying multi-UAVs were operated remotely by human beings or automatically by an onboard system. The applications of multi-UAVs are remote sensing, tracking, observing, and monitoring. It has a different nature compared to ordinary ad hoc network. The speed and diverse directions of multi-UAVs make it harder to route information in a desired way. Different issues may arise due to differences in unm

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Shang, Xiaoting, Kai Yang, Bin Jia, and Ziyou Gao. "Distributionally robust cluster-based hierarchical hub location problem for the integration of urban and rural public transport system." Computers & Industrial Engineering 155 (May 2021): 107181. http://dx.doi.org/10.1016/j.cie.2021.107181.

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Linfati, Rodrigo, John Willmer Escobar, and Juan Escalona. "A Two-Phase Heuristic Algorithm for the Problem of Scheduling and Vehicle Routing for Delivery of Medication to Patients." Mathematical Problems in Engineering 2018 (December 11, 2018): 1–12. http://dx.doi.org/10.1155/2018/8901873.

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In this paper, a two-phase hybrid algorithm to address the problem of scheduling visits to customers and the vehicle routing problem of medication delivery to highly dependent patients is proposed. In the first phase, the issue of daily scheduling for a cluster of customers is solved via a flexible mathematical optimization model applied to different scenarios. The solution obtained in the first phase generates n clusters of patients and a frequency routing problem that considers delivery periodicity, location, demand, service times, travel times, and daily load-balancing constraints. In the s

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Korkishko, A. N., D. I. Glukhikh, and K. A. Opolskiy. "Applying system engineering to reduce capital construction costs in oil and gas fields." PROneft’. Proffessional’no o nefti 6, no. 1 (2021): 76–82. http://dx.doi.org/10.51890/2587-7399-2021-6-1-76-82.

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The article proposes solving way the problem of reduction in the expenditure on the permanent construction of oil and gas fields using systems engineering methods. There is shown system engineering ability to reduce permanent construction costs. The text considered an example of systems engineering using the conceptual design stage for the location of a well cluster.

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Al-ani, Khalid Waleed, Fairuz Bin Abdullah, and Salman Yossuf. "Unequal clustering in wireless sensor network: a review." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (2021): 419. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp419-426.

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<p><span>In recent time, the applications' diversity of wireless sensor network (WSN) attracts many researchers. WSN comprises of many sensor nodes with limited battery power. Therefore, energy consumption should be controlled to the optimum. Clustering is an efficient solution for energy management in WSN, but clustering does not consider the sink node location. It will cause the energy hole problem in multi-hop routing. Energy hole problem was solved by unequal clustering. A review of various unequal clustering mechanisms is presented in this paper. The comparison between the var

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Kim, Seong-Jung, and Jeong-Gon Kim. "Location-Based Resource Allocation in Ultra-Dense Network with Clustering." Sensors 21, no. 12 (2021): 4022. http://dx.doi.org/10.3390/s21124022.

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With the rapid deployment of present-day mobile communication systems, user traffic requirements have increased tremendously. An ultra-dense network is a configuration in which the density of small base stations is greater than or equal to that of the user equipment. Ultra-dense networks are considered as the key technology for 5th generation networks as they can improve the link quality and increase the system capacity. However, in an ultra-dense network, small base stations are densely positioned, so one user equipment may receive signals from two or more small base stations. This may cause

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HUSIN, BAHAGIAWATI AMIR, DWINITA W. UTAMI, and DAMAYANTI BUCHORI. "Pengelompokan dan Struktur Populasi Parasitoid Telur Trichogrammatoidea armigera pada Telur Helicoverpa armigera pada Jagung Berdasarkan Karakter Molekuler." Jurnal Entomologi Indonesia 7, no. 1 (2015): 54. http://dx.doi.org/10.5994/jei.7.1.54.

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The effectiveness of this parasitoid was influenced by its population structure in the field. However, because this parasitoid has a tiny size, it was difficult to know the population structure of this parasitoid. This problem can be overcome by using molecular characteristic i.e. molecular markers. Based on RAPD-PCR analysis from 4 selected primers on 19 DNA samples from 3 different locations it was fond, that Gunung Bunder II population was divided into sub-population and so did Cugenang population, which is indicated by their small Fst and Nm index. The Fst and Nm index for Gunung Bunder II

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Zhu, Yun, Jie Gao, Lin Zhang, and Shao Lan Sun. "System Modeling for Opportunistic Network-Coded Cooperative Multicast Transmission in Clustered Wireless Sensor Networks." Advanced Materials Research 756-759 (September 2013): 1413–17. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1413.

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Wireless sensor networks are formed by connected sensors that each have the ability to collect, process, and store environmental information as well as communicate with others via inter-sensor wireless communication. The many-to-one communication pattern used by sensor nodes in most of the data gathering applications leads to such unbalanced energy consumption. Cluster-based protocols attempt to solve this problem by load balancing within the cluster and rotating the job of cluster head every few rounds. In this paper, in order to achieve efficient utilization of wireless resources, we propose

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Kazakovtsev, Lev, Ivan Rozhnov, and Guzel Shkaberina. "Self-Configuring (1 + 1)-Evolutionary Algorithm for the Continuous p-Median Problem with Agglomerative Mutation." Algorithms 14, no. 5 (2021): 130. http://dx.doi.org/10.3390/a14050130.

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The continuous p-median problem (CPMP) is one of the most popular and widely used models in location theory that minimizes the sum of distances from known demand points to the sought points called centers or medians. This NP-hard location problem is also useful for clustering (automatic grouping). In this case, sought points are considered as cluster centers. Unlike similar k-means model, p-median clustering is less sensitive to noisy data and appearance of the outliers (separately located demand points that do not belong to any cluster). Local search algorithms including Variable Neighborhood

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Chen, Zhansheng, and Hong Shen. "A grid-based reliable multi-hop routing protocol for energy-efficient wireless sensor networks." International Journal of Distributed Sensor Networks 14, no. 3 (2018): 155014771876596. http://dx.doi.org/10.1177/1550147718765962.

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Due to the limited energy and the non-equivalence of wireless sensor network nodes, it is imperative to reduce and rationally use the energy consumption of the nodes to prolong the network lifetime. Clustering routing algorithm can address the problem efficiently. In this article, a grid-based reliable multi-hop routing approach for wireless sensor networks is proposed. In order to minimize and balance the energy consumption, our proposed protocol, grid-based reliable multi-hop routing protocol, optimizes the cluster head election process by combining individual ability which consists of node’

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Xu, Jing Feng, Feng Xu, and Qi Lu Meng. "A Low Energy Clustering Routing Protocol Based on the Partition." Applied Mechanics and Materials 644-650 (September 2014): 2707–10. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2707.

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In wireless sensor network (WSN), LEACH protocol is a typical representative of the hierarchical topology control protocol. Compared to plane multiple hops routing protocol, it can significantly prolong the life cycle of the network. But LEACH protocol having the problem of uneven distribution at the cluster head election, this paper proposes a low energy adaptive clustering routing protocol based on the partition. On the basis of the partition, cluster heads are selected by the energy of nodes and their location information. Simulation experiments show that the proposed protocol can be more e

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Zhou, Liming, Yingzi Shan, and Lu Chen. "Secure and Efficient Cluster-Based Range Query Processing in Wireless Sensor Networks." Journal of Electrical and Computer Engineering 2018 (October 2, 2018): 1–8. http://dx.doi.org/10.1155/2018/9140937.

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In wireless sensor networks, preserving privacy is more important and has attracted more attentions. Protecting data and sensor privacy while collecting and computing query results is a challenge. In cluster-based sensor networks, when a user queries a sensitive data, the adversaries can monitor original node or gain the data in cluster node. To deal with this problem, we propose a secure and efficient scheme for cluster-based query processing in wireless sensor networks. To preserve location privacy of sensors, we use anonymity method to confuse adversaries. To protect the sensitive data, we

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Zeng, Jinlong, and Guifeng Zheng. "ISW." International Journal of Software Science and Computational Intelligence 4, no. 4 (2012): 26–40. http://dx.doi.org/10.4018/jssci.2012100102.

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Content location in unstructured peer-to-peer (P2P) networks is a challenging problem. In this paper, the authors present a novel Interest-based Small World (ISW) network to address the problem, by constructing a cluster overlay in the unstructured P2P network based on the small world paradigm and user interest. There are many attractive properties of a small world network, such as low average hop distance and high clustering coefficient. Interest locality can improve the awareness of user’s indeed intentions. The authors’ scheme combines their advantage to create a better solution. The simula

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Mendes, Eduardo M. A. M., and S. A. Billings. "On Overparametrization of Nonlinear Discrete Systems." International Journal of Bifurcation and Chaos 08, no. 03 (1998): 535–56. http://dx.doi.org/10.1142/s0218127498000346.

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One of the subjects which has received a great deal of attention is the overparametrization problem. It is known that the dynamical performance of the model representations deteriorates if the respective model structure is too complex. This paper investigates the problem of model overparametrization. Two new types of overparametrization, fixed-point and dimension overparametrization, are introduced and based upon this a new procedure for improving structure detection of nonlinear models is developed. This procedure uses all the information from the cluster cancellation and the location of the

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Chaurasia, Girdhari Lal, Mahesh Kumar Gupta, and Praveen Kumar Tandon. "EVALUATION AND MODELLING OF GROUND WATER QUALITY DATA OF ALLAHABAD CITY BY ENVIRONMETRIC METHODS." Green Chemistry & Technology Letters 2, no. 4 (2016): 211. http://dx.doi.org/10.18510/gctl.2016.248.

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Water is an essential resource for all the organisms, plants and animals including the human beings. It is the backbone for agricultural and industrial sectors and all the small business units. Increase in human population and economic activities have tremendously increased the demand for large-scale suppliers of fresh water for various competing end users.The quality evaluation of water is represented in terms of physical, chemical and Biological parameters. A particular problem in the case of water quality monitoring is the complexity associated with analyzing the large number of measured va

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Surya Winata, I. Gusti Ngurah, Gede Sukadarmika, and Pande Ketut Sudiarta. "ANALISIS DROP CALL PADA JARINGAN WIDEBAND CODE-DIVISION MULTIPLE ACCESS (WCDMA) DI CLUSTER RENON." Jurnal SPEKTRUM 6, no. 1 (2019): 44. http://dx.doi.org/10.24843/spektrum.2019.v06.i01.p07.

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Drop call is an example of a problem that is often experienced by users of voice telecommunications services. From this condition, this riset raises the topic of drop call analysis on WCDMA networks in the Renon cluster (nodeB MYAMIN_CR, AKABA_PL, and BUNDARANRENON_PL). Data retrieval needed (Call Set Up Success Rate (CSSR), Call Drop Ratio (CDR), RSCP and Ec/No) is done by drive test using G-NetTrack Pro software. Based on the analysis of the results of the drive test, there were 10 drop call problems. The problems indentified cause by missing neighbors, handover failure, bad spot, coverage p

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Zhao, Ke Xin, Min Fang Peng, Hu Tan, Shu Di He, Mei E. Shen, and Jian Biao He. "Fault Diagnosis of Grounding Grid Based on Principal Component Analysis and Fuzzy Clustering." Advanced Materials Research 787 (September 2013): 881–85. http://dx.doi.org/10.4028/www.scientific.net/amr.787.881.

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The problem of grounding grid fault causes great economic losses, so accurate and efficient fault location is becoming more important. This paper puts forward a new method of fault diagnosis for grounding network.Taking voltage values of test point as fault characteristics and making use of principal component analysis extract fault features from training and test samples, which can eliminate the correlation between the fault symptoms.Taking fuzzy clustering for the samples after feature extraction can get clustering center. By testing sample membership of each sample and each cluster center c

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