Site-Specific Decision-Making Based on RTK GPS Survey and Six Alternative Elevation Data Sources: Soil Erosion Predictions

2008 ◽  
Vol 51 (2) ◽  
pp. 413-424 ◽  
Author(s):  
C. S. Renschler ◽  
D. C. Flanagan
Keyword(s):  
Decision Making ◽  
Soil Erosion ◽  
Data Sources ◽  
Site Specific ◽  
Gps Survey ◽  
Elevation Data ◽  
Rtk Gps

scholarly journals SITE–SPECIFIC DECISION–MAKING BASED ON RTK GPS SURVEY AND SIX ALTERNATIVE ELEVATION DATA SOURCES: WATERSHED TOPOGRAPHY AND DELINEATION

2002 ◽  
Vol 45 (6) ◽  
Author(s):  
C. S. Renschler ◽  
D. C. Flanagan ◽  
B. A. Engel ◽  
L. A. Kramer ◽  
K. A. Sudduth
Keyword(s):  
Decision Making ◽  
Data Sources ◽  
Site Specific ◽  
Gps Survey ◽  
Elevation Data ◽  
Rtk Gps

scholarly journals The Use of Crop Yield Autocorrelation Data as a Sustainable Approach to Adjust Agronomic Inputs

2021 ◽  
Vol 13 (4) ◽  
pp. 2362
Author(s):  
Thomas M. Koutsos ◽  
Georgios C. Menexes ◽  
Andreas P. Mamolos
Keyword(s):  
Decision Making ◽  
Spatial Analysis ◽  
Crop Yield ◽  
Spatial Autocorrelation Analysis ◽  
Autocorrelation Analysis ◽  
Yield Data ◽  
Site Specific ◽  
Production Areas ◽  
Short Time ◽  
Monitor Data

Agricultural fields have natural within-field soil variations that can be extensive, are usually contiguous, and are not always traceable. As a result, in many cases, site-specific attention is required to adjust inputs and optimize crop performance. Researchers, such as agronomists, agricultural engineers, or economists and other scientists, have shown increased interest in performing yield monitor data analysis to improve farmers’ decision-making concerning the better management of the agronomic inputs in the fields, while following a much more sustainable approach. In this case, spatial analysis of crop yield data with the form of spatial autocorrelation analysis can be used as a practical sustainable approach to locate statistically significant low-production areas. The resulted insights can be used as prescription maps on the tractors to reduce overall inputs and farming costs. This aim of this work is to present the benefits of conducting spatial analysis of yield crop data as a sustainable approach. Current work proves that the implementation of this process is costless, easy to perform and provides a better understanding of the current agronomic needs for better decision-making within a short time, adopting a sustainable approach.

Design of Marine Data Warehouse ETL System

2014 ◽  
Vol 668-669 ◽  
pp. 1374-1377 ◽  
Author(s):  
Wei Jun Wen
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Data Warehouse ◽  
Environmental Data ◽  
Data Sources ◽  
Quality Data ◽  
Critical Step ◽  
Marine Data ◽  
Data Extracting ◽  
Marine Environmental

ETL refers to the process of data extracting, transformation and loading and is deemed as a critical step in ensuring the quality, data specification and standardization of marine environmental data. Marine data, due to their complication, field diversity and huge volume, still remain decentralized, polyphyletic and isomerous with different semantics and hence far from being able to provide effective data sources for decision making. ETL enables the construction of marine environmental data warehouse in the form of cleaning, transformation, integration, loading and periodic updating of basic marine data warehouse. The paper presents a research on rules for cleaning, transformation and integration of marine data, based on which original ETL system of marine environmental data warehouse is so designed and developed. The system further guarantees data quality and correctness in analysis and decision-making based on marine environmental data in the future.

Errors in Surgical Neuropathology and the Influence of Cognitive Biases: The Psychology of Intelligence Analysis

2006 ◽  
Vol 130 (5) ◽  
pp. 613-616 ◽  
Author(s):  
Roger E. McLendon
Keyword(s):  
Decision Making ◽  
Cognitive Psychology ◽  
Medical Decision Making ◽  
Cognitive Biases ◽  
Correct Diagnosis ◽  
Data Sources ◽  
Medical Decision ◽  
Intelligence Analysis ◽  
First Impression ◽  
Decision Making Processes

Abstract Context.—A significant difficulty that pathologists encounter in arriving at a correct diagnosis is related to the way information from various sources is processed and assimilated in context. Objective.—These issues are addressed by the science of cognitive psychology. Although cognitive biases are the focus of a number of studies on medical decision making, few if any focus on the visual sciences. Data Sources.—A recent publication authored by Richards Heuer, Jr, The Psychology of Intelligence Analysis, directly addresses many of the cognitive biases faced by neuropathologists and anatomic pathologists in general. These biases include visual anticipation, first impression, and established mindsets and subconsciously influence our critical decision-making processes. Conclusions.—The book points out that while biases are an inherent property of cognition, the influence of such biases can be recognized and the effects blunted.

scholarly journals Implementasi Kebijakan Pembinaan UMKM di Kabupaten Subang

2020 ◽  
Author(s):  
Iwan Henri Kusnadi ◽  
Luki Natika ◽  
Dyera Octa Alsonia
Keyword(s):  
Decision Making ◽  
Data Processing ◽  
Direct Observation ◽  
Program Implementation ◽  
Qualitative Approach ◽  
Target Group ◽  
Data Sources ◽  
Library Research

Tujuan penulis melakukan penelitian ini adalah untuk mengetahui Implementasi Kebijakan Dalam Pembinaan UMKM Pada Dinas Koperasi, UMKM, Perdagangan, dan Perindustrian Kabupaten Subang. Penelitian dan penulisan ini membahas hal-hal yang berkaitan dengan Impelementasi Kebijakan dalam Pembinaan UMKM Pada Dinas Koperasi, UMKM, Perdagangan, dan Perindustrian dengan teori Merilee S. Grindle yaitu Isi kebijakan terdiri dari Kepentingan kelompok sasaran, Tipe Manfaat, Derajat Perubahan yang diinginkan, Letak pengambilan keputusan, pelaksanaan program, sumberdaya yang dilibatkan. Lingkungan Impelementasi terdiri dari Kekuasaan, kepentinganm dan strategi aktor yang terlibat, karakteristik Lembaga dan penguasaan. Dalam penelitian ini menggunakan pendekatan kualitatif melalui pengamatan dan observasi, wawancara, studi keperpustakaan dan dokumentasi, sumber data diperoleh dari informan melalui pengamatan dan wawancara secara langsung dan dokumen diperoleh dalam bentuk hasil wawancara dan pengolahan data. Hasil penelitian menunjukan bahwa Impelementasi kebijakan Dalam Pembinaan UMKM Pada Dinas Koperasi, UMKM, Perdagangan, dan Perindustrian Kabupaten subang sudah efektif pada Tipe manfaat, Derajat perubahan yang diinginkan, Letak pengambilan keputusan, Pelaksanaan program, Sumberdaya yang dilibatkan, Karakteristik Lembaga dan penguasan, kepatuhan dan daya tangkap, sedangkan pada kepentingan kelompok sasaran, kekuasaan, kepentingan, dan strategi aktor yang terlibat, belum efektif.   The purpose of the authors of this research is to determine the implementation of policies in the development of UMKM at the Cooperatives, UMKM, Trade, and Industry Office of Subang Regency. This research and writing discusses matters related to the implementation of policies in the development of UMKM at the Cooperatives, UMKM, Trade and Industry offices with the Merilee S. decision making, program implementation, the resources involved. The implementation environment consists of the power, interests and strategies of the actors involved, the characteristics of the institution and the power. In this study, using a qualitative approach through observation and observation, interviews, library research and documentation, data sources were obtained from informants through direct observation and interviews and documents were obtained in the form of interviews and data processing. The results showed that the implementation of policies in the development of UMKM at the Office of Cooperatives, UMKM, Trade, and Industry of Subang Regency was effective on the type of benefit, the degree of change desired, the location of decision making, program implementation, the resources involved, the characteristics of the institution and the mastery, compliance and capturing power, while in the interests of the target group, the power, interests and strategies of the actors involved, it is not yet effective.

scholarly journals THE HOSPITAL EPIDEMIOLOGICAL SURVEILLANCE NETWORK AS NA INSRUMENT FOR THE STRENGTHENING OF COMPULSORY DISEASE AND CONSEQUENTIAL NOTIFICATION, PERNAMBUCO 2018

2021 ◽  
pp. 12
Author(s):  
◽  
Keyword(s):  
Decision Making ◽  
Information System ◽  
Descriptive Study ◽  
Health Surveillance ◽  
Data Sources ◽  
Epidemiological Surveillance ◽  
Surveillance Network ◽  
Study Type ◽  
Compulsory Notification ◽  
Made In

Objetive: Describe the contribution of the State Hospital Epidemiological Surveillance Network of Pernambuco (VEH/PE) for the registration of cases of diseases and conditions of immediate compulsory notification, in Pernambuco, 2018. Methods: Descriptive study, type of experience report, of surveillance of 31 hospitals of the VEH / PE Network, in 2018. The data sources were from the Notifiable Diseases Information System and the data referring to DNCI were from FormSus, available on the Center’s Platform Strategic Health Surveillance Information. The proportions of notifications for Compulsory Notification Disease from the VEH/PE Network were calculated in relation to the total number of notifications made at Sinan. Results: Among the DNC notifications registered by Sinan (Net, Online and Web influenza, 30,1% came from the 31 hospitals of the VEH/PE Network. When analyzed, by information system, the Network was responsible for 28,4% of the records made in Sinan Net by 2.687 reporting units, in Sinan Online, 25,9% in relation to 1.247 reporting units and for Sinan Web Influenza the contribution was 82,3% in relation to the 69 reporting units. Immediate compulsory notification diseases/conditions communicated to CIEVS, 50,2% of the communications came from the Network As for the opportunity for immediate notification of diseases and conditions, 90,7% were communicated in due time by the VEH/PE Network. Conclusion: It is important to strengthen the Network aiming at surveillance, disease/disease control and operationalization of information systems, in order to support the manager in decision making.

scholarly journals Integração, Relacionamento e Representação de Dados em Cidades Inteligentes: Uma Revisão de Literatura

2018 ◽  
Author(s):  
Larysse Silva ◽  
José Alex Lima ◽  
Nélio Cacho ◽  
Eiji Adachi ◽  
Frederico Lopes ◽  
...  
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Data Integration ◽  
Smart Cities ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Application Development ◽  
Continuous Integration ◽  
Heterogeneous Data Sources ◽  
Computational Systems

A notable characteristic of smart cities is the increase in the amount of available data generated by several devices and computational systems, thus augmenting the challenges related to the development of software that involves the integration of larges volumes of data. In this context, this paper presents a literature review aimed to identify the main strategies used in the development of solutions for data integration, relationship, and representation in smart cities. This study systematically selected and analyzed eleven studies published from 2015 to 2017. The achieved results reveal gaps regarding solutions for the continuous integration of heterogeneous data sources towards supporting application development and decision-making.

A New Approach to Generate Hospital Data Warehouse Schema

2016 ◽  
pp. 84-115 ◽  
Author(s):  
Nouha Arfaoui ◽  
Jalel Akaichi
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Information Exchange ◽  
Data Sources ◽  
Healthcare Industry ◽  
Schema Integration ◽  
Hospital Data ◽  
New Approach ◽  
Similar Elements ◽  
Existing Data

The healthcare industry generates huge amount of data underused for decision making needs because of the absence of specific design mastered by healthcare actors and the lack of collaboration and information exchange between the institutions. In this work, a new approach is proposed to design the schema of a Hospital Data Warehouse (HDW). It starts by generating the schemas of the Hospital Data Mart (HDM) one for each department taking into consideration the requirements of the healthcare staffs and the existing data sources. Then, it merges them to build the schema of HDW. The bottom-up approach is suitable because the healthcare departments are separately. To merge the schemas, a new schema integration methodology is used. It starts by extracting the similar elements of the schemas and the conflicts and presents them as mapping rules. Then, it transforms the rules into queries and applies them to merge the schemas.

Using Grid Technology for Maximizing Collaborative Emergency Response Decision Making

2009 ◽  
pp. 256-275 ◽  
Author(s):  
Eleana Asimakopoulou ◽  
Chimay J. Anumba ◽  
Bouchlaghem ◽  
Bouchlaghem
Keyword(s):  
Decision Making ◽  
Emergency Response ◽  
Data Grid ◽  
Informed Decision ◽  
Data Sources ◽  
Grid Technology ◽  
Distributed Data ◽  
Grid Environment ◽  
Design And Implementation ◽  
Response Decision

Much work is under way within the Grid technology community on issues associated with the development of services to foster collaboration via the integration and exploitation of multiple autonomous, distributed data sources through a seamless and flexible virtualized interface. However, several obstacles arise in the design and implementation of such services. A notable obstacle, namely how clients within a data Grid environment can be kept automatically informed of the latest and relevant changes about data entered/committed in single or multiple autonomous distributed datasets is identified. The view is that keeping interested users informed of relevant changes occurring across their domain of interest will enlarge their decision-making space which in turn will increase the opportunities for a more informed decision to be encountered. With this in mind, the chapter goes on to describe in detail the model architecture and its implementation to keep interested users informed automatically about relevant up-to-date data.

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