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Journal articles on the topic 'Data gathering method'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Horayangkura, Vimolsiddhi. "Observer-as-participant method of data gathering." New Directions for Program Evaluation 1989, no. 42 (1989): 65–74. http://dx.doi.org/10.1002/ev.1515.

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Brandsaeter, Helge, and Olav Eimstad. "Method for use in marine seismic data gathering." Journal of the Acoustical Society of America 78, no. 3 (1985): 1152. http://dx.doi.org/10.1121/1.392969.

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Jeong, Sumin, Jeong-Goo Kim, Keunhyuk Yeom, and Joonseok Park. "Historical Data Gathering Method for Container Based Microservice." Journal of Korea Multimedia Society 26, no. 2 (2023): 221–31. http://dx.doi.org/10.9717/kmms.2023.26.2.221.

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Dhlakama, Lorence, and Stanley Murairwa. "A Literature Survey: Data Gathering Instrument and Method Selection Framework." International Journal of Research and Innovation in Social Science VIII, no. X (2024): 1078–91. http://dx.doi.org/10.47772/ijriss.2024.8100090.

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While there are several data gathering instruments and methods in the literature, the choice of which combination to use in the digital period is highly complex. The quality of the data gathered determines the reliability and acceptability levels of the research results and recommendations. The research examined the available data gathering instruments and methods to assess their adequacy to meet the requirements of the researchers in the current digital, pandemic, and epidemic period. The study applied a cross-sectional literature survey and gathered primary and secondary qualitative and quan

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Hong, Bo, and Viktor K. Prasanna. "Maximum Data Gathering in Networked Sensor Systems." International Journal of Distributed Sensor Networks 1, no. 1 (2005): 57–80. http://dx.doi.org/10.1080/15501320590901847.

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We focus on data gathering problems in energy-constrained networked sensor systems. We study store-and-gather problems where data are locally stored at the sensors before the data gathering starts, and continuous sensing and gathering problems that model time critical applications. We show that these problems reduce to maximization of network flow under vertex capacity constraint. This flow problem in turn reduces to a standard network flow problem. We develop a distributed and adaptive algorithm to optimize data gathering. This algorithm leads to a simple protocol that coordinates the sensor

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Ha, Ilkyu, Mamurjon Djuraev, and Byoungchul Ahn. "An Optimal Data Gathering Method for Mobile Sinks in WSNs." Wireless Personal Communications 97, no. 1 (2017): 1401–17. http://dx.doi.org/10.1007/s11277-017-4579-3.

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Mamurjon, Djuraev, and Byoungchul Ahn. "A Novel Data Gathering Method for Large Wireless Sensor Networks." IERI Procedia 4 (2013): 288–94. http://dx.doi.org/10.1016/j.ieri.2013.11.041.

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Thien, Le Ngoc, and Watit Benjapolakul. "Improving Reliability of Synchrophasor Data Gathering Method Using Network Coding Technique." Engineering Journal 22, no. 1 (2018): 131–42. http://dx.doi.org/10.4186/ej.2018.22.1.131.

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Ebrahimi, Dariush, and Chadi Assi. "A Distributed Method for Compressive Data Gathering in Wireless Sensor Networks." IEEE Communications Letters 18, no. 4 (2014): 624–27. http://dx.doi.org/10.1109/lcomm.2014.030114.132728.

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Trainor, Audrey A. "Community Conversation as a Method of Gathering and Analyzing Qualitative Data." Journal of Disability Policy Studies 29, no. 1 (2018): 2–6. http://dx.doi.org/10.1177/1044207317739403.

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Community conversation, a method of increasing inclusive, community-based employment by harnessing the expertise and motivation of key stakeholders, surfaces important information that can also be used as a method of inquiry. This article examines the commonalities between community conversation as method of practice and method of research. Opportunities to hone this approach for the purpose of increasing its contribution to research are also identified.

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Harris, Jennifer. "The Correspondence Method as a Data-Gathering Technique in Qualitative Enquiry." International Journal of Qualitative Methods 1, no. 4 (2002): 1–9. http://dx.doi.org/10.1177/160940690200100401.

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The use of correspondence in qualitative research has traditionally been limited to a supporting role, with ‘live’ data taking the primary focus. In this article, the merits and demerits of using letter writing as a means of gathering data are discussed. The article also covers representation of the self in letters, researching or advising and ‘invisibility’ to one's respondents, before exploring how this method ‘fits’ within the general principles and practices of qualitative research. As far as it can be established, this article forms the first attempt to explore the use of letter writing a

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Yuan, Hui Yong, Ze Ping Liu, and Si Qing Yang. "An Energy-Efficient Data Gathering Method for Sensor Networks with Mixed Communication Modes." Applied Mechanics and Materials 135-136 (October 2011): 205–10. http://dx.doi.org/10.4028/www.scientific.net/amm.135-136.205.

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One critical issue in wireless sensor networks is how to gather sensed information in an energy-efficient way since the energy is a scarce resource in a sensor node. Cluster-based architecture is an effective architecture for data-gathering in wireless sensor networks. In this paper, by taking the nodes energy consumption into account, we first derive the optimal number of clusters for data gathering in sensor networks. To balance the cluster heads energy consumption, we propose a mixed communication modes where the cluster heads can transmit data to the base station in either single-hop or mu

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Székely, László György. "Some conceptual and legal questions of data gathering in criminal cases." Belügyi Szemle 72, no. 7 (2024): 1121–41. http://dx.doi.org/10.38146/bsz-ajia.2024.v72.i7.pp1121-1141.

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Aim: The purpose of this study is to present some general questions and problems of data gethering in criminal cases in aspect of criminal procedure law and forensic sciences. Methodology: Presentation, analysis, evaulation and drawing conclusions of legal rules, studies, papers, and textbooks in the subject area, both in Hungarian and Anglo-Saxon literature. Findings: Data gathering is a well-known method in both forensic sciences and criminal procedure law. However its meaning is different in these two fields of criminal sciences. Before the current code of criminal procedure in Hungary the

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Elyazgi, Moamar, and . "Review of Gathering Data Instruments and Methods in Children Research." International Journal of Engineering & Technology 7, no. 3.21 (2018): 311. http://dx.doi.org/10.14419/ijet.v7i3.21.17179.

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Introduction: It is observed that people of different age groups might have different response to the same situation. Often in researches, involving school children data is collected from a guardian rather than from children. Traditional data collection methods like focus group, questionnaires, interviews and observations sometimes have been found to be ineffective with children and hence researchers are compelled to collect data from alternative sources. Conversely, studies have reported that children too have strong opinions and it could be different from their guardian’s. Hence, the purpose

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Wang, Xun, and Hongbin Chen. "A Survey of Compressive Data Gathering in WSNs for IoTs." Wireless Communications and Mobile Computing 2022 (January 25, 2022): 1–14. http://dx.doi.org/10.1155/2022/4490790.

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Internet of Things (IoTs) are increasingly widespread in the field of health care, smart city and smart home application, industrial and agricultural monitoring, automation, etc. With its growing scale of networks, there are a large amount of data in IoTs needing to be sensed, transmitted, and processed. Resource-limited Wireless Sensor Networks (WSNs) as a perceptual layer of IoTs are hard to handle massive uncompressed sensing data. Compressive data gathering (CDG), which applies compressive sensing theory to data gathering, is a perfectly matching method for data compressing and gathering i

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Spector, Eliot, Yahan Zhang, Yi Guo, et al. "Syndromic Surveillance Systems for Mass Gatherings: A Scoping Review." International Journal of Environmental Research and Public Health 19, no. 8 (2022): 4673. http://dx.doi.org/10.3390/ijerph19084673.

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Syndromic surveillance involves the near-real-time collection of data from a potential multitude of sources to detect outbreaks of disease or adverse health events earlier than traditional forms of public health surveillance. The purpose of the present study is to elucidate the role of syndromic surveillance during mass gathering scenarios. In the present review, the use of syndromic surveillance for mass gathering scenarios is described, including characteristics such as methodologies of data collection and analysis, degree of preparation and collaboration, and the degree to which prior surve

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Anuja, Choudhary. "TRANSMISSION AND GATHERING OF DATA EFFICIENTLY IN WIRELESS SENSORS NETWORKS." International Journal of Advances in Engineering & Scientific Research 5, no. 1 (2018): 47–65. https://doi.org/10.5281/zenodo.10777138.

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<strong>ABSTRACT</strong> <strong>Aim of the study: </strong>For routing in WSNs there are several routing algorithms are proposed and PEGASIS is one of the most important routing algorithm among all of them as it is base algorithm for all the other approaches. These all the approaches are the chain based hierarchical approaches and have been proposed in order to provide a network of better lifetime and the load balancing energy consumption in the network. EEPB’s improved version IEEPB is proposed with the removal of long links, selection of leader optimally and improvement of load balan

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Zhang, Junming, and Jinglin Li. "Discovering Gathering Pattern Using a Taxicab Service Rate Analysis Method based on Neural Network." International Journal of Grid and High Performance Computing 8, no. 2 (2016): 23–42. http://dx.doi.org/10.4018/ijghpc.2016040102.

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Moving objects gathering pattern represents a group events or incidents that involve congregation of moving objects, enabling the analysis of traffic system. However, how to improve the effectiveness and efficiency of the gathering pattern discovering method still remains as a challenging issue since the large number of moving objects will generate high volume of trajectory data. In order to address this issue, the authors propose a method to discovering the gathering pattern by analyzing the taxicab demand. This paper first introduces the concept of Taxicab Service Rate (TSR). In this method,

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Kamimura, Junpei, Naoki Wakamiya, and Masayuki Murata. "A distributed clustering method for energy-efficient data gathering in sensor networks." International Journal of Wireless and Mobile Computing 1, no. 2 (2006): 113. http://dx.doi.org/10.1504/ijwmc.2006.012470.

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Sha, Chao, Jian-mei Qiu, Tian-yu Lu, Ting-ting Wang, and Ru-chuan Wang. "Virtual region based data gathering method with mobile sink for sensor networks." Wireless Networks 24, no. 5 (2017): 1793–807. http://dx.doi.org/10.1007/s11276-016-1431-8.

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Yang, Yicheng, Jia Yu, Chenyu Wang, and Jiahong Wen. "Risk Assessment of Crowd-Gathering in Urban Open Public Spaces Supported by Spatio-Temporal Big Data." Sustainability 14, no. 10 (2022): 6175. http://dx.doi.org/10.3390/su14106175.

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The urban open public spaces are the areas where people tend to gather together, which may lead to great crowd-gathering risk. This paper proposes a new method to assess the rank and spatial distribution of crowd-gathering risk in open public spaces in a large urban area. Firstly, a crowd density estimation method based on Tencent user density (TUD) data is built for different times in open public spaces. Then, a reasonable crowd density threshold is delimited to detect critical crowd situations in open public spaces and find out the key open public spaces that need to have intensive crowd-gat

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Neff, D. B., and S. B. Wyatt. "Noise suppression by the radial amplitude‐slope rejection method." GEOPHYSICS 51, no. 3 (1986): 844–50. http://dx.doi.org/10.1190/1.1442137.

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Raw geophysical data generally contain spurious noise values which, if not removed, can seriously degrade any results obtained when the data are processed. Such spurious values may be caused by “environmental” noise generated externally to the data‐gathering equipment; introduced by the data‐gathering equipment; or introduced during preliminary data‐handling (tape copying, etc.) processes. Data‐manipulation steps, such as the conversion of raw stacking velocities to interval velocities, can also generate noise components which must be removed before the results can be utilized reliably.

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He, Jingfei, Xiaoyue Zhang, Yatong Zhou, and Miriam Maibvisira. "A Subspace Approach to Sparse Sampling Based Data Gathering in Wireless Sensor Networks." Sensors 20, no. 4 (2020): 985. http://dx.doi.org/10.3390/s20040985.

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Data gathering is an essential concern in Wireless Sensor Networks (WSNs). This paper proposes an efficient data gathering method in clustered WSNs based on sparse sampling to reduce energy consumption and prolong the network lifetime. For data gathering scheme, we propose a method that can collect sparse sampled data in each time slot with a fixed percent of nodes remaining in sleep mode. For data reconstruction, a subspace approach is proposed to enforce an explicit low-rank constraint for data reconstruction from sparse sampled data. Subspace representing spatial distributions of the WSNs d

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Peyton, Tamara, and Erika S. Poole. "The Videographic Requirements Gathering Method for Adolescent-Focused Interaction Design." Interaction Design and Architecture(s), no. 21 (June 20, 2014): 57–69. http://dx.doi.org/10.55612/s-5002-021-004.

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We present a novel method for conducting requirements gathering with adolescent populations. Called videographic requirements gathering, this technique makes use of mobile phone data capture and participant creation of media images. The videographic requirements gathering method can help researchers and designers gain intimate insight into adolescent lives while simultaneously reducing power imbalances. We provide rationale for this approach, pragmatics of using the method, and advice on overcoming common challenges facing researchers and designers relying on this technique.

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Goto, Keisuke, Yuya Sasaki, Takahiro Hara, and Shojiro Nishio. "Data Gathering Using Mobile Agents for Reducing Traffic in Dense Mobile Wireless Sensor Networks." Mobile Information Systems 9, no. 4 (2013): 295–314. http://dx.doi.org/10.1155/2013/604068.

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Recently, there has been increasing interest in Mobile Wireless Sensor Networks (MWSNs) that are constructed by mobile sensor nodes held by ordinary people, and it has led to a new concept called urban sensing. In such MWSNs, mobile sensor nodes densely exist, and thus, there are basically many sensor nodes that can sense a geographical point in the entire sensing area. To reduce the communication cost for gathering sensor data, it is desirable to gather the sensor data from the minimum number of mobile sensor nodes which are necessary to guarantee the sensing coverage or the quality of servic

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Xiong, Jiping, and Qinghua Tang. "1-Bit Compressive Data Gathering for Wireless Sensor Networks." Journal of Sensors 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/805423.

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Compressive sensing (CS) has been widely used in wireless sensor networks for the purpose of reducing the data gathering communication overhead in recent years. In this paper, we firstly apply 1-bit compressive sensing to wireless sensor networks to further reduce the communication overhead that each sensor needs to send. Furthermore, we propose a novel blind 1-bit CS reconstruction algorithm which outperforms other state-of-the-art blind 1-bit CS reconstruction algorithms under the settings of WSN. Experimental results on real sensor datasets demonstrate the efficiency of our method.

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Silic, J. "Interpretation of TDEM data using first and second spatial derivatives and time decay analysis." Exploration Geophysics 20, no. 2 (1989): 57. http://dx.doi.org/10.1071/eg989057.

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Current gathering in fixed loop electromagnetic data often dominates responses from large high-grade ore bodies as well as responses from less desirable features such as fault zones, weathering troughs and regional conductors. Through decay curve analysis, current gathering can now be unambiguously recognised.Many widely used EM interpretation techniques are not applicable to current gathering (channelling) responses. An effective method of deriving the location and shape of the causative source is to study the second spatial derivative, as is shown in several examples.

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Menshchikov, A. A., U. A. Gatchin, and A. G. Korobeynikov. "Combined detection and counteraction method of automated information data gathering from web resources." Journal of the Ural Federal District Information security 19, no. 2 (2019): 25–29. http://dx.doi.org/10.14529/secur190204.

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Xie, Chengyang, Jiancong Zhao, and Yugang Niu. "A representative node selection-based data gathering method for compressive sensing in WSNs." International Journal of Sensor Networks 28, no. 1 (2018): 1. http://dx.doi.org/10.1504/ijsnet.2018.094700.

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Xie, Chengyang, Jiancong Zhao, and Yugang Niu. "A representative node selection-based data gathering method for compressive sensing in WSNs." International Journal of Sensor Networks 28, no. 1 (2018): 1. http://dx.doi.org/10.1504/ijsnet.2018.10015973.

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Gupta, Ankita, and Chetna Gupta. "A Collaborative Situational Method Engineering Approach for Requirement Gathering." International Journal of Information Retrieval Research 8, no. 1 (2018): 1–19. http://dx.doi.org/10.4018/ijirr.2018010101.

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This article re-defines traditional requirement engineering processes by performing exhaustive requirement gathering through an interactive and collaborative communication, where stakeholders are equally involved in capturing and finalizing requirements in the scope of a project. It strongly supports concept of re-usability using principals of situational method engineering where methods are tailor-made per requirements from the method repository (maintained in the cloud). Search and selection of appropriate methods meeting stakeholder's interest is performed using concepts of knowledge discov

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Heinze, Søren, and Andreas Echtermeyer. "A Practical Approach for Data Gathering for Polymer Cure Simulations." Applied Sciences 8, no. 11 (2018): 2227. http://dx.doi.org/10.3390/app8112227.

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Producing precision parts requires good control of the production parameters. When casting thermoset polymers an understanding of the curing process, with its heat release and associated temperature changes, is important. This paper describes how the cure of a polymer of unknown detailed chemical composition in a large part can be predicted and how the necessary material properties required for the predictions can be obtained. The approach given is a relatively simple method that a part manufacturer can perform. It will not characterize chemical reactions in detail, but it gives sufficient acc

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Hutton, Alison, Allison Roderick, and Rebecca Munt. "Lessons Learned at World Youth Day: Collecting Data and Using Postcards at Mass Gatherings." Prehospital and Disaster Medicine 25, no. 3 (2010): 273–77. http://dx.doi.org/10.1017/s1049023x00008153.

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AbstractIntroduction:World Youth Day (WYD) and its associated activities were held in Sydney, Australia from 15–20 July 2008. The aims of this research were to pilot the use of postcards at mass gatherings and to collect baseline data of how young people (age 16–25 years) identify factors that may affect their health and safety when attending mass gatherings.Hypothesis:The concerns of young people in relation to their health and safety at mass gatherings are poorly understood. It was decided that postcards would be an effective method of data collection in the mobile mass gathering environment

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Zhang, Junming, Jinglin Li, Zhihan Liu, Quan Yuan, and Fangchun Yang. "Moving Objects Gathering Patterns Retrieving based on Spatio-Temporal Graph." International Journal of Web Services Research 13, no. 3 (2016): 88–107. http://dx.doi.org/10.4018/ijwsr.2016070105.

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Moving objects gathering pattern represents a group events or incidents that involve congregation of moving objects, enabling the analysis of traffic system. However, effectively and efficiently discovering the specific gathering pattern turns to be a remaining challenging issue since the large number of moving objects will generate high volume of trajectory data. In order to address this issue, the authors propose a moving object gathering pattern retrieving method that aims to support the retrieving of gathering patterns based on spatio-temporal graph. In this method, firstly the authors use

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Brooks-McNamara, Vicki, and Laura Pedersen. "Practitioner Inquiry: A Method to Advocate for Systemic Change." Professional School Counseling 9, no. 3 (2006): 2156759X0500900. http://dx.doi.org/10.1177/2156759x0500900308.

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Practitioner inquiry offers a strategy for creating systemic change thus increasing opportunities for all students’ academic achievement. Too often, school counselors are considered ancillary in schools rather than an integral member of the practitioner base. However, school counselors are being included in the equation for all students’ success. The very nature of school counselors’ work can make data gathering appear overwhelming and cumbersome. This article outlines a practical guide for enhancing the school counselor's position on leadership teams by providing simple and realistic strategi

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Takyu, Osamu, Keita Takeda, Ryuji Miyamoto, Koichi Adachi, Mai Ohta, and Takeo Fujii. "An Environment-Aware Adaptive Data-Gathering Method for Packet-Level Index Modulation in LPWA." Sensors 24, no. 8 (2024): 2514. http://dx.doi.org/10.3390/s24082514.

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Low-power wide-area (LPWA) is a communication technology for the IoT that allows low power consumption and long-range communication. Additionally, packet-level index modulation (PLIM) can transmit additional information using multiple frequency channels and time slots. However, in a competitive radio access environment, where multiple sensors autonomously determine packet transmission, packet collisions occur when transmitting the same information. The packet collisions cause a reduction in the throughput. A method has been proposed to design a mapping table that shows the correspondence betwe

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Nandagopal, C., and S. M. Ramesh. "An Efficient Data Gathering Technique Using Optimal Minimum Coverage Spanning Tree Algorithm in WSN." Journal of Circuits, Systems and Computers 29, no. 14 (2020): 2050225. http://dx.doi.org/10.1142/s0218126620502254.

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A WSN system incorporates a gateway that provides wireless connectivity back to the wired world and distributed nodes. Many existing schemes were utilized for the purpose of increasing the data gathering capacity of sensor nodes from source to sink node. But the existing schemes suffered from maximum distance problem of reaching the sink node. Hence, to overcome those issues, we propose an energy efficient data gathering technique in WSN. Initially, in this paper, the sensor nodes are clustered using LEACH protocol. After the clustering process, cluster heads (CHs) are selected. These selected

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Xing, Xiaofei, Dongqing Xie, and Guojun Wang. "Energy-Balanced Data Gathering and Aggregating in WSNs: A Compressed Sensing Scheme." International Journal of Distributed Sensor Networks 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/585191.

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Compressed sensing (CS) is an emerging sampling technique by which the data sampling and aggregating can be done simultaneously, which can be applied to many fields, including data processing in wireless sensor networks (WSNs). In WSNs, data aggregating can reduce data transmission cost and improve energy efficiency. Existing CS-based data gathering work in WSNs utilizes the centralized method to process the data by a sink node, which causes the load imbalance and “coverage hole” problems, and so forth. In this paper, we propose an energy-balanced data gathering and aggregating (EDGA) scheme t

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Vist, Torill. "Toddler Encounters as Aesthetic Interviews? Discussing an Arts-Based Data Gathering." Qualitative Inquiry 25, no. 7 (2018): 604–14. http://dx.doi.org/10.1177/1077800418801378.

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This article introduces encounters between the researcher and toddlers, in which the interaction is performed and data primarily constructed through the arts, and the encounters seen as aesthetic interviews. The aim of the article is to exemplify, explore, and discuss such an arts-based data gathering, and to elicit how understanding this as interviews may put forward other nuances of such a methodology. Although the method has obvious resemblances with observation methods, the energy and intervention on behalf of the researcher is most similar to the qualitative interview, keeping the relatio

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Lutovinov, Maxim, Jan Papuga, and Milan Růžička. "DATABASE FINLIV – FOCUS ON STAIRCASE METHOD." Acta Polytechnica CTU Proceedings 3 (February 11, 2016): 39–42. http://dx.doi.org/10.14311/app.2016.3.0039.

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This paper introduces FinLiv database focused on gathering, manipulating and providing experimental static and fatigue data. One of its new features is the ability to include also fatigue tests realized by the staircase method.

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Zhang, Peng, Xiangsu Chen, and Chaohai Fan. "Research on a Safety Assessment Method for Leakage in a Heavy Oil Gathering Pipeline." Energies 13, no. 6 (2020): 1340. http://dx.doi.org/10.3390/en13061340.

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At present, the number of oil and gas gathering and transportation pipelines is numerous, and leakage accidents occur frequently. Each year, due to pipeline failure, there are immeasurable consequences for people and the environment around the affected pipelines. In order to reduce the risk of leakage accidents in heavy oil gathering pipelines and prevent the occurrence of major spills, it is of great significance to carry out safety assessments of them. However, failure data of these pipelines is seriously deficient and statistical methods used to evaluate pipeline safety are incompatible. Th

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Mawadatur Rahmah, Ambarwati, Ravik Karsidi, and Argyo Demartoto. "REGULAR SOCIAL GATHERING AS A STRATEGY FOR MILLENNIAL FISHERMEN TO OVERCOME POVERTY IN BLIMBING VILLAGE, LAMONGAN REGENCY." International Journal of Education and Social Science Research 06, no. 02 (2023): 196–212. http://dx.doi.org/10.37500/ijessr.2023.6218.

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This study was conducted in Blimbing Village, Lamongan Regency. This study takes the topic of regular social gatherings as a strategy for millennial fishermen to overcome poverty. Most fishermen of Blimbing village are on the poverty line, although there are also fishermen who live a decent life. This study uses a qualitative method with a phenomenological approach to look deeply and personally at the conditions of poverty experienced by the community. The data sources from this study are primary and secondary data. The primary data is obtained through observation and interviews. On the other

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Rohini, M., and Marrynal S. Eastaff Mrs. "DATA MINING KNOWLEDGE DISCOVERYANDITS APPLICATIONS." Volume 7 Issue 11 7, no. 11 (2021): 1–3. https://doi.org/10.5281/zenodo.5675585.

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Data Mining and Knowledge Discovery is a tested companion investigated logical diary zeroing in on datamining. It is distributed by Springer Science + Business Media. Starting at 2012, the proofreader in-boss is Geoffrey 1, Webb. The act of data mining or information revelation, in spite of profoundly perplexing methods and applications,is dependent on an extremely straightforward idea. Gathering data from a breath of hotspots for the motivations behind analysis.Generally, data mining of hard drive recuperation is done to gather data which would then be able to be used toimprove a cycle or met

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Palvölgyi, Elisabeth Zsoka, and Jürgen Moormann. "Uncovering customer processes: the interactive questionnaire." Business Process Management Journal 27, no. 2 (2021): 546–64. http://dx.doi.org/10.1108/bpmj-07-2020-0326.

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PurposeInsights about customers' processes of value creation are highly beneficial for companies striving to provide customers with added value in their processes. Customer processes (CPs) of a complex nature, like buying real estate, are highly heterogenous and comprise numerous activities. Existing data-gathering methods either overlook the variability of these processes or do not record their contents thoroughly. Drawing conclusions from analyzing such poor-quality data can result in the design of supposedly customer-centric offerings that fail to provide customers with value in their proce

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Sha, Chao, Jian-mei Qiu, Shu-yan Li, Meng-ye Qiang, and Ru-chuan Wang. "A Type of Low-Latency Data Gathering Method with Multi-Sink for Sensor Networks." Sensors 16, no. 6 (2016): 923. http://dx.doi.org/10.3390/s16060923.

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Xiao, Fu, Guangwei Ge, Lijuan Sun, and Ruchuan Wang. "An energy-efficient data gathering method based on compressive sensing for pervasive sensor networks." Pervasive and Mobile Computing 41 (October 2017): 343–53. http://dx.doi.org/10.1016/j.pmcj.2017.02.005.

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Sadhukhan, Debanjan, and Seela Veerabhadreswara Rao. "Energy efficient multi-beacon guard method for periodic data gathering in time-synchronized WSN." Wireless Networks 26, no. 7 (2020): 5337–54. http://dx.doi.org/10.1007/s11276-020-02400-5.

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Li, Canhua, and Hongxia Bie. "A spatiotemporal compressive data gathering method combining block-wise compressed sensing with logical mapping." Journal of Physics: Conference Series 1550 (May 2020): 032136. http://dx.doi.org/10.1088/1742-6596/1550/3/032136.

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Kim, Bum-Youl, Hyung-kyu Kim, Jung-Hwan Oh, Sung-Sik Ham, and Kilyoung Ahn. "Power Data Gathering Method for the MCB Switch Board by Using the RF Communication." Journal of Korean Institute of Communications and Information Sciences 47, no. 10 (2022): 1669–76. http://dx.doi.org/10.7840/kics.2022.47.10.1669.

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Chao, Fan, Zhiqin He, Renkuan Feng, et al. "Predictive Trajectory-Based Mobile Data Gathering Scheme for Wireless Sensor Networks." Complexity 2021 (January 5, 2021): 1–17. http://dx.doi.org/10.1155/2021/3941074.

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Abstract:

Tradition wireless sensor networks (WSNs) transmit data by single or multiple hops. However, some sensor nodes (SNs) close to a static base station forward data more frequently than others, which results in the problem of energy holes and makes networks fragile. One promising solution is to use a mobile node as a mobile sink (MS), which is especially useful in energy-constrained networks. In these applications, the tour planning of MS is a key to guarantee the network performance. In this paper, a novel strategy is proposed to reduce the latency of mobile data gathering in a WSN while the rout

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