What to look for in distributed (source) data processing

Denoisers can help solve inverse problems via a recently proposed framework known as regularization by denoising (RED). The RED approach defines the regularization term of the inverse problem via explicit denoising engines. Simultaneous source separation techniques, being themselves a combination of inversion and denoising methods, provide a formidable field to explore RED. We investigate the applicability of RED to simultaneous-source data processing and introduce a deblending algorithm named REDeblending (RDB). The formulation permits developing deblending algorithms where the user can select any denoising engine that satisfies RED conditions. Two popular denoisers are tested, but the method is not limited to them: frequency-wavenumber thresholding and singular spectrum analysis. We offer numerical blended data examples to showcase the performance of RDB via numerical experiments.

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Multi resolution feature extraction: source data processing for the revision of map objects

IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120) ◽

10.1109/igarss.2000.861653 ◽

2002 ◽

Author(s):

K.O. Niemann ◽

D. Richardson ◽

C. Dillabaugh

Keyword(s):

Feature Extraction ◽

Data Processing ◽

Source Data ◽

Map Objects

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APLIKASI METODE LOCATION QUOTIENT ( LQ ) DALAM PENENTUAN KOMODITAS PALAWIJA UNGGULAN PADA PROVINSI SULAWESI BARAT

10.31227/osf.io/6qcr7 ◽

2019 ◽

Cited By ~ 1

Author(s):

Osmar Shalih

Keyword(s):

Economic Development ◽

Data Processing ◽

Agricultural Development ◽

Series Data ◽

Food Crops ◽

Location Quotient ◽

Source Data ◽

Processing Program ◽

Data Source ◽

Microsoft Office

West Sulawesi is youngest province in Indonesia until now.As always within new province’s economic development, it is need data source to support West Sulawesi economic development for sustainable development. Determine of “secondary food crops” superior commodities of West Sulawesi is one of the step to go in the direction of efficient agricultural development of West Sulawesi.In this Journal, “secondary food crops” are maize, greenpeal, peanut, soybean, java sweet potato (ubi jalar), and kaspe cassava (ubi kayu). There are more methods of superior commodities identification; one is Location Quotient (LQ) approach. LQ method still have excess and deficiency. In LQ’s excess are it simple application, easy and don’t need data processing program which difficult.and deficiency of LQ is must use accurate data.because very difficult to find accurate data. This journal aims to elaborate and examine the implementation of LQ approach uses wide of production of “secondary food crops” series data for three years period ( 2005-2007) from Indonesian Statistics Board (Badan Pusat Statistik) and West Sulawesi Statistics Board ( BPS Sulawesi Barat) as main source. Data processing conducted within spreadsheet from Excel on Microsoft Office 2007. The results conclude that LQ method still obtained as one of relevant method for superior commodities of “secondary food crops” identification. It is suggestion for using LQ with supporting accuracy long series data present.

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Inference and Linking on the Humanist’s Semantic Web

Scholarly and Research Communication ◽

10.22230/src.2014v5n4a182 ◽

2014 ◽

Vol 5 (4) ◽

Author(s):

John Edward Simpson

Keyword(s):

Semantic Web ◽

Web Data ◽

Inference Generation ◽

Distributed Source ◽

Semantic Data ◽

Source Data

The Semantic Web promises that the pools of semantic data it interweaves together will enable people to find information that they could not otherwise find by revealing knowledge not explicitly visible in the distributed source data. In order for this promise to be fulfilled within the humanities, the Semantic Web data being created must have certain features, but what are they? This article provides some background on Semantic Web inferencing and then argues that there are three things that humanists can do to prepare their data to participant in this sort of inference generation: add more data, reciprocate links across repositories, and add metadata specifically to support inferencing.

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The Design and Implementation of an Environmental Information Collection and Dissemination Terminal Based on Mobile Platform

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.926-930.2135 ◽

2014 ◽

Vol 926-930 ◽

pp. 2135-2138

Author(s):

Dao Chang Zhu ◽

Ming Che ◽

Jia Li

Keyword(s):

Data Processing ◽

Warning System ◽

Mobile Node ◽

Environmental Information ◽

Information Collection ◽

Communication Link ◽

Related Data ◽

Source Data ◽

Wireless Mobile Communication ◽

Portable Terminal

This paper introduces a portable environmental information collection and dissemination terminal based on embedded hardware platform, which uses wireless mobile communication link, builds data link, receives the collected and analyzed data from a Towns and Villages Environmental Multi-source Data Processing Base (TVEMDPB) which locates in the monitoring area. Then the terminal displays these data reasonably and vividly through a variety means. At the same time, the terminal integrates GPS and related data processing module to provide information feedback for the Towns and Villages Environmental Multi-source Data Processing Base. By doing this we can build portable terminal platform which can send environmental information and emergency instructions. And the terminal will form a mobile node of the environmental information system. In the end, achieve the seamless connectivity between the distributed towns’ and villages’ environmental early warning system and the monitoring data, real-time evaluation and warning for the towns’ and villages’ environmental pollution.

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Proses Pemberdayaan Masyarakat Melalui Gerakan Pemberdayaan dan Kesejahteraan Keluarga (PKK) di Kabupaten Subang

ijd-demos ◽

10.31506/ijd.v1i2.23 ◽

2020 ◽

Vol 1 (2) ◽

Author(s):

Tony Pathony

Keyword(s):

Data Processing ◽

Working Life ◽

Community Empowerment ◽

Qualitative Approach ◽

Family Welfare ◽

Government Organizations ◽

Direct Observations ◽

The Family ◽

Source Data

Tujuan dari penelitian ini adalah untuk mengetahui proses pemberdayaan masyarakat melalui pemberdayaan dan Gerakan Kesejahteraan Keluarga Di Subang. Penelitian dan penulisan itu membahas hal-hal yang berkaitan dengan bagaimana proses pemberdayaan masyarakat melalui pemberdayaan dan Gerakan Kesejahteraan Keluarga di Kabupaten Subang sesuai dengan teori-teori yang diungkapkan oleh Edi Suharto yaitu Pemungkinan, Penguatan, Perlindungan, Penyokongan, Pemeliharaan. Dalam penelitian ini menggunakan pendekatan kualitatif dengan penelitian yang bersifat deskriptif, karena penelitian ini bertujuan untuk memperoleh gambaran yang lebih besar digunakan untuk mengungkapkan masalah dalam kehidupan kerja pengamatan organisasi pemerintah, wawancara, studi kepustakawanan dan dokumentasi. Tidak ada pilihan lain selain menjadikan para peneliti itu sendiri sebagai instrumen para peneliti utama. Sumber data diperoleh dari informan melalui pengamatan langsung dan wawancara serta dokumen yang diperoleh dalam bentuk aturan dan pengolahan data. Hasil penelitian menunjukkan bahwa proses pemberdayaan masyarakat melalui pemberdayaan dan gerakan kesejahteraan keluarga sesuai dengan teori Pemberdayaan sebagai proses yang dikemukakan oleh Edi Suharto yaitu Proses pemberdayaan masyarakat melalui gerakan Keluarga Sejahtera dan Pemberdayaan di Kabupaten Subang belum optimal . Kesimpulan temuan di lapangan yaitu Pemungkinan, Penguatan, Perlindungan, Penyokongan, Pemeliharaan belum dinilai sesuai dengan teori yang digunakan. he purpose of this research is to know the process of community empowerment through empowerment and the family welfare Movement In Subang. Research and writing of it discusses matters related to how the process of community empowerment through empowerment and family welfare Movement in the Regency of Subang in accordance with the theories expressed by Edi Suharto i.e. Pemungkinan, Penguatan, Perlindungan, Penyokongan, Pemeliharaan. In this study using a qualitative approach to research that is descriptive, because this study aims to gain a bigger picture examined used to reveal problems in working life government organizations observations, interviews, the study of librarianship and documentation. There is no other option than to make the researchers themselves as instruments of the major researchers. Source data obtained from the informants through direct observations and interviews and documents obtained in the form of rules and data processing. Results of the study showed that the process of community empowerment through empowerment and family welfare Movement in accordance with the theory of Empowerment as the process advanced by Edi Suharto i.e. community empowerment Process through Family welfare and Empowerment movement in the Regency of Subang has not been optimal. Conclusion the findings in the field namely Pemungkinan, Penguatan, Perlindungan, Penyokongan, Pemeliharaan has not been assessed in accordance with the theory used.

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Tourism Information Data Processing Method Based on Multi-Source Data Fusion

Journal of Sensors ◽

10.1155/2021/7047119 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

YaoGuang Li ◽

HeChi Gan

Keyword(s):

Data Fusion ◽

Data Processing ◽

Prediction Accuracy ◽

Tourism Industry ◽

Learning Ability ◽

Information Support ◽

Data Set ◽

Prediction Ability ◽

Source Data ◽

Tourism Information

Urban social civilization and the quality of life of residents are gradually improved, and the development scale and trend of the leisure tourism industry have been growing. This paper constructs a multi-source data fusion model based on an ensemble learning algorithm, uses Ctrip 2020 open data set to train the model, and then obtains the tourism information data processing and prediction results. This paper takes the data of Ctrip as the training set and compares the trained model with the data of tunic and Feizhu. In this paper, sensor detection technology is used to analyze many famous scenic spots in China, including tourist type, gender, and location. The results show that tourism feature extraction results are consistent with data from trending flying bamboo, tunics, and other websites, according to the results of a multi-source fusion of tourism information. Among them, in the data of the first half of 2020, the prediction accuracy of the model after data processing is about 62%. Affected by the epidemic situation, the accuracy of the model is low. In the second half of the year, the prediction accuracy is 78%, which can be used to fuse tourism information in a short time. Therefore, the data show that the model has high learning ability and high trend prediction ability in tourism data processing, which can provide necessary information support for tourists.

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