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Artículos de revistas sobre el tema "Geo-distributed system"

Autor: Grafiati

Publicado: 1 de junio de 2024

Última modificación: 19 de julio de 2025

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1

Oh, Kwangsung, Nan Qin, Abhishek Chandra, and Jon Weissman. "Wiera: Policy-Driven Multi-Tiered Geo-Distributed Cloud Storage System." IEEE Transactions on Parallel and Distributed Systems 31, no. 2 (2020): 294–305. http://dx.doi.org/10.1109/tpds.2019.2935727.

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2

Hildred, Joshua, Michael Abebe, and Khuzaima Daudjee. "Caerus: Low-Latency Distributed Transactions for Geo-Replicated Systems." Proceedings of the VLDB Endowment 17, no. 3 (2023): 469–82. http://dx.doi.org/10.14778/3632093.3632109.

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Distributed deterministic database systems achieve high transaction throughput for geographically replicated data. Supporting transactions with ACID guarantees requires deterministic databases to order transactions globally to dictate execution order. In a geographically distributed environment, ordering transactions globally can take multiple wide-area network (WAN) round trips of messaging, which adds significant latency to transaction response times, leading to poor user experiences. To improve the response time of transactions in deterministic databases, we propose an ordering protocol tha

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3

Zhang, Zihao, Huiqi Hu, Xuan Zhou, Yaofeng Tu, Weining Qian, and Aoying Zhou. "Fast Commitment for Geo-Distributed Transactions via Decentralized Co-Coordinators." Proceedings of the VLDB Endowment 17, no. 10 (2024): 2555–67. http://dx.doi.org/10.14778/3675034.3675046.

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In a geo-distributed database, data shards and their respective replicas are deployed in distinct datacenters across multiple regions, enabling regional-level disaster recovery and the ability to serve global users locally. However, transaction processing in geo-distributed databases requires multiple cross-region communications, especially during the commit phase, which can significantly impact system performance. To optimize the performance of geo-distributed transactions, we propose Decentralized Two-phase Commit (D2PC), a new transaction commit protocol aiming to minimize the negative impa

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4

Gharbia, Salem S., Laurence Gill, Paul Johnston, and Francesco Pilla. "GEO-CWB: GIS-Based Algorithms for Parametrising the Responses of Catchment Dynamic Water Balance Regarding Climate and Land Use Changes." Hydrology 7, no. 3 (2020): 39. http://dx.doi.org/10.3390/hydrology7030039.

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Parametrising the spatially distributed dynamic catchment water balance is a critical factor in studying the hydrological system responses to climate and land use changes. This study presents the development of a geographic information system (GIS)-based set of algorithms (geographical spatially distributed water balance model (GEO-CWB)), which is developed from integrating physical, statistical, and machine learning models. The GEO-CWB tool has been developed to simulate and predict future spatially distributed dynamic water balance using GIS environment at the catchment scale in response to

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5

Shi, Bin, Dan Zhang, Honghu Zhu, et al. "DFOS Applications to Geo-Engineering Monitoring." Photonic Sensors 11, no. 2 (2021): 158–86. http://dx.doi.org/10.1007/s13320-021-0620-y.

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AbstractOptical fiber sensing technology has developed rapidly since the 1980s with the development of the optical fiber and fiber optical communication technology. It is a new type of sensing technology that uses light as a carrier and optical fiber as a medium to sense and transmit external signals (measurands). Distributed fiber optical sensors (DFOS) can continuously measure the external physical parameters distributed along the geometric path of the optical fiber. Meanwhile, the spatial distribution and change information of the measured physical parameters over time can be obtained. This

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6

Gou, Liang, Geng Xin Zhang, Zhi Dong Xie, Zhi Ping Xu, and Hong Wei Long. "Payload-Distributed GEO Communication Satellite System and Opportunistic Network Coding Based Cooperative Information Exchange." Applied Mechanics and Materials 519-520 (February 2014): 1005–11. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1005.

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Fractionated Spacecraft is a concept which transforms a traditional monolithic spacecraft into a network of elements where a free-flying payload module is supported by nearby free-flying infrastructure modules. In this paper, we propose a novel concept named as Payload-Distributed GEO Communication Satellite System (PD-GEO) which divides the traditional GEO communication satellite into several modules. Those modules can be reconfigured, added, or exchanged independently from the others, and be reused over several missions. Then, for the purpose of reliable and high-efficient data transmission

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7

Satuluri, Victoria, and Ratna Babu Yellamati. "Design of Middleware and Software Embedded Development Kit For Area Based Distributed Mobile Cache System." International Journal of Electrical and Electronics Research 3, no. 3 (2015): 44–49. http://dx.doi.org/10.37391/ijeer.030301.

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Nowadays a new area-based distributed mobile cache system and a sustainable distributed Geo-cast technology enables data caching temporarily in a designated local area using short-range communication technologies such as Bluetooth and Wi-Fi. This system doesn’t need servers and infrastructure network. To enhance the short-range communications as a time-offset communication in a physical world the caching capability is needed. Due to this advantage it is sure to adopt a new location-based communication services. The proposed work is frames a developed middleware for a widespread embedded OS and

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8

Nguyen, Cuong D. T., Johann K. Miller, and Daniel J. Abadi. "Detock: High Performance Multi-region Transactions at Scale." Proceedings of the ACM on Management of Data 1, no. 2 (2023): 1–27. http://dx.doi.org/10.1145/3589293.

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Many globally distributed data stores need to replicate data across large geographic distances. Since synchronously replicating data across such distances is slow, those systems with high consistency requirements often geo-partition data and direct all linearizable requests to the primary region of the accessed data. This significantly improves performance for workloads where most transactions access data close to where they originate from. However, supporting serializable multi-geo-partition transactions is a challenge, and they often degrade the performance of the whole system. This becomes

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9

Wang, Changxu, Yuanzhi He, and Chengwu Qi. "Analysis of Grating Lobe Effects on GEO DSC Distributed Antennas." Applied Sciences 13, no. 19 (2023): 10912. http://dx.doi.org/10.3390/app131910912.

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Traditional single-antenna systems have inherent limitations in terms of antenna gain, anti-interference capability, and flexibility. To overcome these challenges, satellite-mounted distributed antenna systems disperse multiple antennas at different positions on the satellite to improve the reception quality and signal-to-noise ratio of satellite signals, enhancing the performance of the satellite communication system without additional bandwidth or transmission power. However, the dispersed locations and long distances between antennas on the satellite result in less compact spacing compared

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10

Jahn, M. W., P. E. Bradley, M. Al Doori, and M. Breunig. "TOPOLOGICALLY CONSISTENT MODELS FOR EFFICIENT BIG GEO-SPATIO-TEMPORAL DATA DISTRIBUTION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W5 (October 23, 2017): 65–72. http://dx.doi.org/10.5194/isprs-annals-iv-4-w5-65-2017.

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Geo-spatio-temporal topology models are likely to become a key concept to check the consistency of 3D (spatial space) and 4D (spatial + temporal space) models for emerging GIS applications such as subsurface reservoir modelling or the simulation of energy and water supply of mega or smart cities. Furthermore, the data management for complex models consisting of big geo-spatial data is a challenge for GIS and geo-database research. General challenges, concepts, and techniques of big geo-spatial data management are presented. In this paper we introduce a sound mathematical approach for a topolog

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11

Czauner, Brigitta, Ferenc Molnár, Marco Masetti, Teppo Arola, and Judit Mádl-Szőnyi. "Groundwater Flow System-Based Dynamic System Approach for Geofluids and Their Resources." Water 14, no. 7 (2022): 1015. http://dx.doi.org/10.3390/w14071015.

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The ‘Dynamic System Approach for Geofluids and their Resources’ was developed to harmonize research and the sustainable exploration of geofluids (e.g., groundwater, geothermal and hydrothermal fluids) and the related geo-resources (groundwater, geothermal energy and hydrothermal minerals). The conception is based on the basin-scale groundwater flow systems, which behave as a geologic agent, mobilize, transport and deposit matter and heat, whilst it can be evaluated quantitatively and in a distributed manner. Evaluation of these systems combined, for instance, with numerical, stochastic and iso

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12

Dr., Sagar P. Mali, Suresh A. Kakade Mr., and Raju B. Kapre Dr. "Application of Geo-spatial Technology for Zonation Mapping: A Case study of F.Y.B.A.B.Ed. Student (2022-2023) of Vidya Prabodhini College, Parvari-Goa, India." International Journal of Advance and Applied Research S6, no. 6 (2025): 55–60. https://doi.org/10.5281/zenodo.15063288.

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<em>Geo-spatial technology is a valuable tool for institutional zonation mapping, enabling the efficient analysis of spatial data related to educational services. This research explores the application of geo-spatial technology in mapping the zonation of students enrolled at F.Y.B.A.B.Ed. in the Vidya Prabodhini College, Parvari, Goa, for the academic year 2022-2023. Using Geographic Information System (GIS) technology, the study presents the geo-spatial distribution of students across various distance zones, helping to assess the college’s influence and outreach. The analysis covers one

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13

Pei, Jianing, Peilin Hong, Kaiping Xue, and Defang Li. "Efficiently Embedding Service Function Chains with Dynamic Virtual Network Function Placement in Geo-Distributed Cloud System." IEEE Transactions on Parallel and Distributed Systems 30, no. 10 (2019): 2179–92. http://dx.doi.org/10.1109/tpds.2018.2880992.

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14

Brovelli, M. A., P. Boccardo, G. Bordogna, et al. "URBAN GEO BIG DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W14 (August 23, 2019): 23–30. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w14-23-2019.

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<p><strong>Abstract.</strong> The paper deals with the general presentation of the Urban GEO BIG DATA, a collaborative acentric and distributed Free and Open Source (FOS) platform consisting of several components: local data nodes for data and related service Web deploy; a visualization node for data fruition; a catalog node for data discovery; a CityGML modeler; data-rich viewers based on virtual globes; an INSPIRE metadata management system enriched with quality indicators for each dataset.</p><p>Three use cases in five Italian cities (Turin, Milan, Padua, Rome,

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15

Khaleel, Mustafa I. "Load Balancing and Thermal-Aware in Geo-Distributed Cloud Data Centers Based on Vlans." Science Journal of University of Zakho 6, no. 3 (2018): 113–17. http://dx.doi.org/10.25271/sjuoz.2018.6.3.515.

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Power consumption in datacenters has become an emerging concern for the cloud providers. This poses enormous challenges for the programmers to motivate new paradigms to enhance the efficiency of cloud resources through designing innovative energy-aware algorithms. However, balancing the weights over geographically dispersed datacenters has been shown to be essential in decreasing the temperature consumption per datacenter. In this paper, we have formulated a load balancing paradigm to exploit the idea of scheduling scientific workflows over distributed cloud resources to make system outcome mo

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16

Abramov, Valery, Sergey Lukyanov, Ekaterina Korinets, Vladimir Bolshakov, and Tatiana Vekshina. "Digital tools for seaports geo-information support while climate change and Covid-19 pandemic." E3S Web of Conferences 258 (2021): 02020. http://dx.doi.org/10.1051/e3sconf/202125802020.

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In article, there are presented digital tools development results for geo-information support to seaports activity within Industry 4.0 period, when while climate change and covid-19 pandemic. In study, there are used methods of data bases constructing, web-technologies and virtual reality tools. Also, there are used Foresight technologies, theory of decision making under uncertainties and risk management. As digital tools, there is proposed to use digital online platforms, which integrate heterogeneous hardware and software resources with the use of web-technologies in distributed networks and

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17

Cheng, Jiang, Yinghui Tang, and Miaomiao Yu. "The Discrete-Time Bulk-ServiceGeo/Geo/1Queue with Multiple Working Vacations." Journal of Applied Mathematics 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/587269.

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This paper deals with a discrete-time bulk-serviceGeo/Geo/1queueing system with infinite buffer space and multiple working vacations. Considering an early arrival system, as soon as the server empties the system in a regular busy period, he leaves the system and takes a working vacation for a random duration at timen. The service times both in a working vacation and in a busy period and the vacation times are assumed to be geometrically distributed. By using embedded Markov chain approach and difference operator method, queue length of the whole system at random slots and the waiting time for

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18

Telluri, Pavan, Srinidhi Bulusu, and T. K. Ramesh. "Centralized Swarm Network." Journal of Computational and Theoretical Nanoscience 17, no. 1 (2020): 109–14. http://dx.doi.org/10.1166/jctn.2020.8636.

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A theoretical approach and applications for centralizing a distributed system have been discussed along with methods for indoor Geo-location for swarm robot coordination using Multi-frequency positioning technique combined with traditional method of determination of distance using accelerometer. This hybrid method of determining coordinates of bots is reliable as it depends on multiple sources. The models for centralization using a controller, without violating swarm intelligence principles is discussed.

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19

Song, Weiwei, Qiong Wu, Xiaopeng Gong, Fu Zheng, and Yidong Lou. "Corrections of BDS Code Multipath Error in Geostationary Orbit Satellite and Their Application in Precise Data Processing." Sensors 19, no. 12 (2019): 2737. http://dx.doi.org/10.3390/s19122737.

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Multipath error is a main error source in Global Navigation Satellite System (GNSS) data processing, which cannot be removed by a differential technique because of the strong relationship with the environment around the station. The multipath effect of the code observables is more complex than that of the carrier-phase observables, especially for BeiDou Navigation Satellite System (BDS) geostationary orbit (GEO) satellites. In this contribution, we deeply analyzed the characteristic and effect on the precise data processing of GEO satellite multipath errors based on a large number of permanent

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20

Shen, Qinghua, Xiaohui Liang, Xuemin Shen, Xiaodong Lin, and Henry Y. Luo. "Exploiting Geo-Distributed Clouds for a E-Health Monitoring System With Minimum Service Delay and Privacy Preservation." IEEE Journal of Biomedical and Health Informatics 18, no. 2 (2014): 430–39. http://dx.doi.org/10.1109/jbhi.2013.2292829.

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21

Agrawal, Himangi, and Tanya Gupta. "CLOUD COMPUTING: A LATENCY AND BANDWIDTH COST OPTIMIZATION PERSPECTIVE." International Journal of Technical Research & Science 9, Spl (2024): 27–35. http://dx.doi.org/10.30780/specialissue-iset-2024/024.

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Cloud providers are forced to run numerous datacenters throughout the world to host their cloud services due to end-user latency and regulatory requirements. Request allocation, the process of allocating each user request to the best data center to benefit cloud providers, is an emerging issue under such geo-distributed architecture. Nevertheless, previous request allocation solutions have serious drawbacks: They either only optimize benefits for one party (providers or users, for example) or neglect some important but realistic factors (various per-unit bandwidth costs among datacenters and h

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22

Peng, Zeshun, Yanfeng Zhang, Qian Xu, et al. "NeuChain." Proceedings of the VLDB Endowment 15, no. 11 (2022): 2585–98. http://dx.doi.org/10.14778/3551793.3551816.

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Blockchain serves as a replicated transactional processing system in a trustless distributed environment. Existing blockchain systems all rely on an explicit ordering step to determine the global order of transactions that are collected from multiple peers. The ordering consensus can be the bottleneck since it must be Byzantine-fault tolerant and can scarcely benefit from parallel execution. In this paper, we propose an ordering-free architecture that makes ordering implicit through deterministic execution. Based on this novel architecture, we develop a permissioned blockchain system NeuChain.

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23

ATENCIA, IVAN, and PILAR MORENO. "A DISCRETE-TIME Geo/G/1 RETRIAL QUEUE WITH SERVER BREAKDOWNS." Asia-Pacific Journal of Operational Research 23, no. 02 (2006): 247–71. http://dx.doi.org/10.1142/s0217595906000929.

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This paper discusses a discrete-time Geo/G/1 retrial queue with the server subject to breakdowns and repairs. The customer just being served before server breakdown completes his remaining service when the server is fixed. The server lifetimes are assumed to be geometrical and the server repair times are arbitrarily distributed. We study the Markov chain underlying the considered queueing system and present its stability condition as well as some performance measures of the system in steady-state. Then, we derive a stochastic decomposition law and as an application we give bounds for the proxi

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24

Pradeep, Bhosale. "Data Consistency Models in Distributed Systems: CAP Theorem Revisited." International Journal on Science and Technology 14, no. 3 (2023): 1–11. https://doi.org/10.5281/zenodo.14631471.

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As modern applications demand global scalability, low latency, and fault tolerance, distributed systems have become ubiquitous in cloud computing, microservices, and large-scale data management solutions. However, ensuring correct and predictable data access in these environments is challenging due to network partitions, asynchronous communication, and diverse workload patterns. Data consistency models define the guarantees applications can expect when reading and writing data distributed across multiple nodes. The CAP theorem, formulated two decades ago, offers a theoretical lens to understan

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25

Sun, Chunlei, Xiangming Wen, Zhaoming Lu, Wenpeng Jing, and Michele Zorzi. "Eco-Friendly Powering and Delay-Aware Task Scheduling in Geo-Distributed Edge-Cloud System: A Two-Timescale Framework." IEEE Access 8 (2020): 96468–86. http://dx.doi.org/10.1109/access.2020.2995806.

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26

Simić, Miloš, Goran Sladić, Miroslav Zarić, and Branko Markoski. "Infrastructure as Software in Micro Clouds at the Edge." Sensors 21, no. 21 (2021): 7001. http://dx.doi.org/10.3390/s21217001.

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Edge computing offers cloud services closer to data sources and end-users, making the foundation for novel applications. The infrastructure deployment is taking off, bringing new challenges: how to use geo-distribution properly, or harness the advantages of having resources at a specific location? New real-time applications require multi-tier infrastructure, preferably doing data preprocessing locally, but using the cloud for heavy workloads. We present a model, able to organize geo-distributed nodes into micro clouds dynamically, allowing resource reorganization to best serve population needs

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27

Dr., Prabha Shreeraj Nair. "A Spatio Temporal Model for Massive Analysis of Shapefiles." International Journal of Trend in Scientific Research and Development 2, no. 1 (2017): 365–73. https://doi.org/10.31142/ijtsrd6994.

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Over the course of time an organization working with geospatial data accumulates tons of data both in the form of vector and raster formats. This data is a result of co ordinated processes within the organization and external sources such as other collaborative organizations, projects and agencies, crowd sourcing efforts, etc. The massive amount of data accumulated as a result and the recent developments in the distributed processing of geo data have catalyzed the development of our spatio temporal data processing model. Our model is loosely based upon GS Hadoop and uses dataset consisting of

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Martirosyan, Alexander V., Yury V. Ilyushin, and Olga V. Afanaseva. "Development of a Distributed Mathematical Model and Control System for Reducing Pollution Risk in Mineral Water Aquifer Systems." Water 14, no. 2 (2022): 151. http://dx.doi.org/10.3390/w14020151.

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The article is devoted to the problem of the growing need of the mineral water fields’ exploitation process automation. The implementation of control systems and mathematical modeling methods can significantly reduce the fields’ structural integrity violation and pollution of aquifers risks. This research is especially relevant for the fields with difficult conditions of mineral waters occurrence, since the insufficient accuracy of determining the fields’ operating mode parameters can lead to a severe incident. The article describes a distributed mathematical model developed from the geo-filtr

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Sukatmadiredja, Noneng R. "PENGARUH SISTEM PENGENDALIAN MANAJEMEN DAN PENGENDALIAN INTERNAL TERHADAP KINERJA PERUSAHAAN (STUDI KASUS PADA PT. GEO-ENVIRO ABADI CONSULTAN & ENGINERING SURABAYA)." Media Mahardhika 19, no. 3 (2021): 421–33. http://dx.doi.org/10.29062/mahardika.v19i3.268.

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This research aims to determine the influence of management control system and internal control on the company's performance in PT. Geo-Enviro Abadi Consultan &Enginering Surabaya. Data collection using survey method through questionnaire dissemination. Sample techniques using purposive sampling amounted to 32 respondents who were distributed to accounting departments and employees who participated in the field of budgeting in the pt company area. Geo-Enviro Abadi Consultan &Enginering Surabaya. The data analysis method used is quantitative analysis using validity, reliability, classic

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Mikhailenko, Anna V., Dmitry A. Ruban, and Vladimir A. Ermolaev. "The Khadzhokh Canyon System—An Important Geosite of the Western Caucasus." Geosciences 10, no. 5 (2020): 181. http://dx.doi.org/10.3390/geosciences10050181.

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True diversity of geological heritage sites (geosites) is yet to be fully understood. New field studies of the Khadzhokh Canyon and its vicinities in the Western Caucasus (Mountainous Adygeya tourist destination, southwestern Russia) have allowed characterizing its geoheritage. Multiple unique features are assigned to geomorphological, stratigraphical, paleontological, palaeogeographical, sedimentary, tectonic, hydro(geo)logical, and coupled economical and geoexplorationgeoheritage types. This geoheritage is highlycomplex, and its rank is national. The unique features include (but not limited

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Tariq, Hasan, Anas Tahir, Farid Touati, Mohammed Abdulla E. Al-Hitmi, Damiano Crescini, and Adel Ben Manouer. "Geographical Area Network—Structural Health Monitoring Utility Computing Model." ISPRS International Journal of Geo-Information 8, no. 3 (2019): 154. http://dx.doi.org/10.3390/ijgi8030154.

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In view of intensified disasters and fatalities caused by natural phenomena and geographical expansion, there is a pressing need for a more effective environment logging for a better management and urban planning. This paper proposes a novel utility computing model (UCM) for structural health monitoring (SHM) that would enable dynamic planning of monitoring systems in an efficient and cost-effective manner in form of a SHM geo-informatics system. The proposed UCM consists of networked SHM systems that send geometrical SHM variables to SHM-UCM gateways. Every gateway is routing the data to SHM-

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Ikkala, Esko, Eero Hyvönen, and Jouni Tuominen. "Geocoding, Publishing, and Using Historical Places and Old Maps in Linked Data Applications." Digital Humanities in the Nordic and Baltic Countries Publications 1, no. 1 (2018): 228–34. http://dx.doi.org/10.5617/dhnbpub.11069.

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This paper presents a Linked Open Data brokering service prototype Hipla.fi for using and maintaining historical place gazetteers and maps based on distributed SPARQL endpoints. The service introduces several novelties: First, the service facilitates collaborative maintenance of geo-ontologies and maps in real time as a side effect of annotating contents in legacy cataloging systems. The idea is to support a collaborative ecosystem of curators that creates and maintains data about historical places and maps in a sustainable way. Second, in order to foster understanding of historical places, th

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Lu, Y. L., C. W. Liu, J. W. Li, and J. W. Jiang. "CONSTRUCTION METHOD OF “CELL-CUBE” SPATIO-TEMPORAL DATA MODEL FOR BIG DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 25–30. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-25-2020.

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Abstract. In recent years, with high accuracy, high frequency, considerable coverage of remote sensing images, map tiles, video surveillance, web crawlers, social networking platforms and other types of spatiotemporal data have exploded in geometric progression. Human society has come into the era of big data in time and space. In view of the characteristics of multi-attribute, multi-dimensional, multisource and heterogeneous spatiotemporal big data, how to make use of the emerging information technology means, combined with the geographic information data analysis means, the rapid mining and

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Rehman, Adnanul, Jinxi Song, Fazlul Haq, et al. "Multi-Hazard Susceptibility Assessment Using the Analytical Hierarchy Process and Frequency Ratio Techniques in the Northwest Himalayas, Pakistan." Remote Sensing 14, no. 3 (2022): 554. http://dx.doi.org/10.3390/rs14030554.

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Globally, natural hazards have become more destructive in recent times because of rapid urban development and exposure. Consequently, significant human life loss, the damage to property and infrastructure, and the collapse of the environment directed the attention of geoscientists to control the consequences and risk management in relation to geo-hazards. In this research, an effort was made to produce a compound map, geo-visualizing the susceptibility of multi-hazards, to select suitable sites for sustainable future development and other economic activities in the region. Muzaffarabad Distric

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Koureas, Dimitrios, and Wouter Addink. "Associating Occurrences with Genes, Phenotypes, and Environments through the Distributed System of Scientific Collections (DiSSCo)." Biodiversity Information Science and Standards 1 (July 25, 2017): e17010. https://doi.org/10.3897/tdwgproceedings.1.17010.

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Over the last few decades, the research practice in natural sciences has changed dramatically. Remote sensing, rapid identification and molecular approaches allow us to efficiently monitor the changing world around us and understand the cause of those changes. Advances of digital, genomic and information technologies enable natural science collections to provide novel discoveries and ask for new collection types and attributes, while fostering the development of innovative approaches to face the urgent societal challenges. Natural Science Collections (three billion specimens globally) represen

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van, de Putte Anton P., Yi-Ming Gan, Alyce Hancock, and Ben Raymond. "Towards a Distributed System for Essential Variables for the Southern Ocean." Biodiversity Information Science and Standards 7 (September 7, 2023): e112289. https://doi.org/10.3897/biss.7.112289.

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The Southern Ocean (SO), delinated to the north by the Antarctic convergence, is a unique environment that experiences rapid change in some areas while remaining relatively untouched by human activities. At the same time, these ecosystems are under severe threat from climate change and other stressors. While our understanding of SO biological processes (e.g., species distributions, feeding ecology, reproduction) has greatly improved in recent years, biological data for the region remains patchy, sparse, and unstandardised depending on the taxonomic group (Griffiths et al. 2014).Due to the scar

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Yang, Zong-Xiao, Xiao-Yao Jia, Jie-Yu Hao, and Yan-Ping Gao. "Geometry-Experiment Algorithm for Steiner Minimal Tree Problem." Journal of Applied Mathematics 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/367107.

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It is well known that the Steiner minimal tree problem is one of the classical nonlinear combinatorial optimization problems. A visualization experiment approach succeeds in generating Steiner points automatically and showing the system shortest path, named Steiner minimum tree, physically and intuitively. However, it is difficult to form stabilized system shortest path when the number of given points is increased and irregularly distributed. Two algorithms, geometry algorithm and geometry-experiment algorithm (GEA), are constructed to solve system shortest path using the property of Delaunay

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Nikos, Giatrakos, Alevizos Elias, Artikis Alexander, Deligiannakis Antonios, and Garofalakis Minos. "Complex event recognition in the Big Data era: a survey." VLDB Journal 29, no. 1 (2019): 313–52. https://doi.org/10.1007/s00778-019-00557-w.

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The concept of event processing is established as a generic computational paradigm in various application fields. Events report on state changes of a system and its environment. Complex event recognition (CER) refers to the identification of composite events of interest, which are collections of simple, derived events that satisfy some pattern, thereby providing the opportunity for reactive and proactive measures. Examples include the recognition of anomalies in maritime surveillance, electronic fraud, cardiac arrhythmias and epidemic spread. This survey elaborates on the whole pipeline from t

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Rutan, David A., Seiji Kato, David R. Doelling, et al. "CERES Synoptic Product: Methodology and Validation of Surface Radiant Flux." Journal of Atmospheric and Oceanic Technology 32, no. 6 (2015): 1121–43. http://dx.doi.org/10.1175/jtech-d-14-00165.1.

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AbstractThe Clouds and the Earth’s Radiant Energy System Synoptic (SYN1deg), edition 3, product provides climate-quality global 3-hourly 1° × 1°gridded top of atmosphere, in-atmosphere, and surface radiant fluxes. The in-atmosphere surface fluxes are computed hourly using a radiative transfer code based upon inputs from Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS), 3-hourly geostationary (GEO) data, and meteorological assimilation data from the Goddard Earth Observing System. The GEO visible and infrared imager calibration is tied to MODIS to ensure uniform MODIS-like c

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Khalil, Muhammad Imran Khan, Syed Adeel Ali Shah, Amer Taj, et al. "Renewable-Aware Geographical Load Balancing Using Option Pricing for Energy Cost Minimization in Data Centers." Processes 10, no. 10 (2022): 1983. http://dx.doi.org/10.3390/pr10101983.

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It is becoming increasingly difficult to properly control the power consumption of widely dispersed data centers. Energy consumption is high because of the need to run these data centers (DCs) that handle incoming user requests. The rising cost of electricity at the data center is a contemporary problem for cloud service providers (CSPs). Recent studies show that geo-distributed data centers may share the load and save money using variable power prices and pricing derivatives in the wholesale electricity market. In this study, we evaluate the problem of reducing energy expenditures in geograph

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Maistrenko, S. Ya, V. I. Nochvai, T. O. Dontsov-Zahreba, K. V. Khurtsylava, and I. V. Kovalets. "Geo-information web-system for presenting the results of the inventory of air pollution emis-sions in Kyiv." Mathematical machines and systems 1 (2022): 97–105. http://dx.doi.org/10.34121/1028-9763-2022-1-97-105.

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In the current work, there has been developed for the first time a geo-information web-system for presenting the results of the inventory of air pollution emissions in Kyiv from industrial en-terprises on the basis of the processing of data from the State Statistics Service of Ukraine, as well as estimates of geo-distributed emission fields from vehicles. The system contains infor-mation on emissions of 21 pollutants, including those that are regularly monitored in Kyiv by governmental agencies. The system is available via the link http://env.kiev.ua:8080/pollutionsystem/ pollutionsystem.html.

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Xu, Wei, Zhengbin Wei, Pingping Huang, et al. "Azimuth Multichannel Reconstruction for Moving Targets in Geosynchronous Spaceborne–Airborne Bistatic SAR." Remote Sensing 12, no. 11 (2020): 1703. http://dx.doi.org/10.3390/rs12111703.

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In a multichannel geosynchronous spaceborne–airborne bistatic synthetic aperture radar (GEO-SA-BiSAR) system, the airborne receiver can obtain high-resolution microwave images with good signal-to-noise ratios (SNRs) by passively receiving echoes from the desired area. Since the Doppler modulation and range history of a moving target are obviously different from a stationary target, a signal geometry model for moving targets in multichannel GEO-SA-BiSAR is established in this paper. According to simulation results, the along track velocity introduces target defocusing in azimuth, and the slant

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Raju, T. Naga, and Dr Chittineni Suneetha. "Extended Distributed Framework for Feature Extraction in Remote Sensing Imagery with High Resolution." Webology 18, no. 2 (2021): 1035–46. http://dx.doi.org/10.14704/web/v18i2/web18372.

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Remote Sensing imagery is used vastly in the areas of human activities investigation, environmental changes monitoring and geo-spatial data updation in a rapidly increasing way. Humans can easily and appropriately interpret the normally shot pictures but this is a difficult task for the computer to automatically interpret information from the given images. One of the prominent phases is in finding the way to extract the projected information from the given imagery and its conversion to wrath-ful data which can be used for further research. The motto is the generation of an algorithm which aims

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Breunig, Martin, Patrick Erik Bradley, Markus Jahn, et al. "Geospatial Data Management Research: Progress and Future Directions." ISPRS International Journal of Geo-Information 9, no. 2 (2020): 95. http://dx.doi.org/10.3390/ijgi9020095.

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Without geospatial data management, today’s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city planning cannot be solved. Furthermore, geospatial data management plays a connecting role between data acquisition, data modelling, data visualization, and data analysis. It enables the continuous availability of geospatial data and the replicability of geospatial data analysis. In the first part of this article, five milestones of geospatial data management research are presented that were

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B. Angel Rubavathy. "Geo-Blockchain Split-ID Verification (GBSIV) Framework: A Secure and Adaptive Authentication Model for Cloud Document Verification." Journal of Information Systems Engineering and Management 10, no. 23s (2025): 37–44. https://doi.org/10.52783/jisem.v10i23s.3673.

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Cloud computing revolutionized the storage and retrieval of data, but privacy concerns and unauthorized access still hover on the horizon. Current systems such as Digi Locker only provide e-document storage without end-to-end security components such as fine-grained access control, decentralized identity management and adaptive authentication. OTP-based verification systems continue to be vulnerable to interception, intrinsic cloud document verification vulnerabilities such as OTP system security vulnerabilities, decentralized identity infrastructure vulnerabilities. Thus introduced our propos

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Yu, J., L. Wu, Y. Yang, X. Lei, and W. He. "Global Data Spatially Interrelate System for Scientific Big Data Spatial-Seamless Sharing." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-6 (April 23, 2014): 125–30. http://dx.doi.org/10.5194/isprsarchives-xl-6-125-2014.

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A good data sharing system with spatial-seamless services will prevent the scientists from tedious, boring, and time consuming work of spatial transformation, and hence encourage the usage of the scientific data, and increase the scientific innovation. Having been adopted as the framework of Earth datasets by Group on Earth Observation (GEO), Earth System Spatial Grid (ESSG) is potential to be the spatial reference of the Earth datasets. Based on the implementation of ESSG, SDOG-ESSG, a data sharing system named global data spatially interrelate system (GASE) was design to make the data sharin

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Lannom, Larry, Dimitris Koureas, and Alex R. Hardisty. "FAIR Data and Services in Biodiversity Science and Geoscience." Data Intelligence 2, no. 1-2 (2020): 122–30. http://dx.doi.org/10.1162/dint_a_00034.

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We examine the intersection of the FAIR principles (Findable, Accessible, Interoperable and Reusable), the challenges and opportunities presented by the aggregation of widely distributed and heterogeneous data about biological and geological specimens, and the use of the Digital Object Architecture (DOA) data model and components as an approach to solving those challenges that offers adherence to the FAIR principles as an integral characteristic. This approach will be prototyped in the Distributed System of Scientific Collections (DiSSCo) project, the pan-European Research Infrastructure which

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Sun, Xiaoying, Leping Chen, Zhengquan Zhou, Huagui Du, and Xiaotao Huang. "Impact Analysis and Compensation Methods of Frequency Synchronization Errors in Distributed Geosynchronous Synthetic Aperture Radar." Remote Sensing 16, no. 8 (2024): 1470. http://dx.doi.org/10.3390/rs16081470.

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Frequency synchronization error, as one of the inevitable technical challenges in distributed synthetic aperture radar (SAR), has different impacts on different SAR systems. Multi-monostatic SAR is a typical distributed configuration where frequency synchronization errors are tiny in distributed airborne and low earth orbit (LEO) SAR systems. However, due to the long time delay and long synthetic aperture time, the imaging performance of a multi-monostatic geosynchronous (GEO) SAR system is affected by frequency oscillator errors. In this paper, to investigate the frequency synchronization pro

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Teyeb, Hana, Nejib Ben Hadj-Alouane, Samir Tata, and Ali Balma. "Optimal Dynamic Placement of Virtual Machines in Geographically Distributed Cloud Data Centers." International Journal of Cooperative Information Systems 26, no. 03 (2017): 1750001. http://dx.doi.org/10.1142/s0218843017500010.

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In geo-distributed cloud systems, a key challenge faced by cloud providers is to optimally tune and configure the underlying cloud infrastructure. An important problem in this context, deals with finding an optimal virtual machine (VM) placement, minimizing costs, while at the same time, ensuring good system performance. Moreover, due to the fluctuations of demand and traffic patterns, it is crucial to dynamically adjust the VM placement scheme over time. It should be noted that most of the existing studies, however, dealt with this problem either by ignoring its dynamic aspect or by proposing

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Li, Chao, Huimei Lu, Yong Xiang, and Rui Gao. "Geo-DMP: A DTN-Based Mobile Prototype for Geospatial Data Retrieval." ISPRS International Journal of Geo-Information 9, no. 1 (2019): 8. http://dx.doi.org/10.3390/ijgi9010008.

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Geospatial information is gaining immense interest and importance as we enter the era of highly developed transportation and communication. Despite the proliferation of cellular network and WiFi, on some occasions, users still face barriers to accessing geospatial data. In this paper, we design and implement a distributed prototype system with a delay/disruption tolerant network (DTN), named Geo-DMP, for cooperatively and opportunistically sharing and exchanging named geospatial contents in a device-to-device fashion. First of all, we construct a lightweight “content agent” module to bridge th

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