Development of a Prototype System for Aquaculture Facility Auto Detection Using KOMPSAT-3 Satellite Imagery

This thesis addresses the topic of semi-automated extraction of urban road networks from high-resolution satellite imagery. Research on this topic is mainly motivated by the use geographic information systems in transportation (GIS-T), and the need for reliable data acquisition methods and to update GIS-T databases. To this end, 1-m spatial resolution IKONOS imagery provides a new data source to collect the spatial models of citywide road networks. In this thesis, a novel methodology of a semi-automated road extraction using high-resolution satellite imagery over urban areas is developed. The main objective of this research is to extract urban road networks from a single IKONOS image. To detect the road features from a highly complex scene, a multiscale analysis of the optimal image was performed. To extract roads and their networks, the knowledge of road geometry is exploited in an interactive environment. The key advantage of the developed method is the full employment of a human and a computer's abilities for fast and precise road extraction from high-resolution satellite imagery. The results show that the presented method enables reliable road extraction over urban areas. The potential applications exemplified in case studies indicate that the high-resolution satellite imagery offers an efficient and precise source for geographic and transportation databases. Based on this research, the limitations and future work for the prototype system are discussed.

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Semi-automated Extraction of Urban Road Networks by Geometric Analysis of IKONOS Imagery

10.32920/ryerson.14647335.v1 ◽

2021 ◽

Author(s):

Haibin Dong

Keyword(s):

High Resolution ◽

Satellite Imagery ◽

Urban Areas ◽

Road Networks ◽

Prototype System ◽

Automated Extraction ◽

Road Extraction ◽

Complex Scene ◽

Urban Road ◽

High Resolution Satellite Imagery

This thesis addresses the topic of semi-automated extraction of urban road networks from high-resolution satellite imagery. Research on this topic is mainly motivated by the use geographic information systems in transportation (GIS-T), and the need for reliable data acquisition methods and to update GIS-T databases. To this end, 1-m spatial resolution IKONOS imagery provides a new data source to collect the spatial models of citywide road networks. In this thesis, a novel methodology of a semi-automated road extraction using high-resolution satellite imagery over urban areas is developed. The main objective of this research is to extract urban road networks from a single IKONOS image. To detect the road features from a highly complex scene, a multiscale analysis of the optimal image was performed. To extract roads and their networks, the knowledge of road geometry is exploited in an interactive environment. The key advantage of the developed method is the full employment of a human and a computer's abilities for fast and precise road extraction from high-resolution satellite imagery. The results show that the presented method enables reliable road extraction over urban areas. The potential applications exemplified in case studies indicate that the high-resolution satellite imagery offers an efficient and precise source for geographic and transportation databases. Based on this research, the limitations and future work for the prototype system are discussed.

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Explanatory Power for Medical Expert Systems: Studies in the Representation of Causal Relationships for Clinical Consultations

Methods of Information in Medicine ◽

10.1055/s-0038-1635400 ◽

1982 ◽

Vol 21 (03) ◽

pp. 127-136 ◽

Cited By ~ 25

Author(s):

J. W. Wallis ◽

E. H. Shortliffe

Keyword(s):

Explanatory Power ◽

Prototype System ◽

Inference Rules ◽

Medical Expert ◽

Comprehensive Knowledge ◽

Different Types ◽

Medical Expert Systems ◽

Explanation System ◽

Systems Studies

This paper reports on experiments designed to identify and implement mechanisms for enhancing the explanation capabilities of reasoning programs for medical consultation. The goals of an explanation system are discussed, as is the additional knowledge needed to meet these goals in a medical domain. We have focussed on the generation of explanations that are appropriate for different types of system users. This task requires a knowledge of what is complex and what is important; it is further strengthened by a classification of the associations or causal mechanisms inherent in the inference rules. A causal representation can also be used to aid in refining a comprehensive knowledge base so that the reasoning and explanations are more adequate. We describe a prototype system which reasons from causal inference rules and generates explanations that are appropriate for the user.

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Rancang Bangun E-Learning Pronounciation Bahasa Inggris STKIP Setiabudhi Rangkasbitung Berbasis Web

Jurnal Sisfokom (Sistem Informasi dan Komputer) ◽

10.32736/sisfokom.v9i2.907 ◽

2020 ◽

Vol 9 (2) ◽

Author(s):

Dentik Karyaningsih ◽

Puji Siswanto

Keyword(s):

Teaching And Learning ◽

English Language ◽

English Education ◽

System Development ◽

Language Education ◽

Prototype System ◽

Study Program ◽

Education Study ◽

English Pronunciation ◽

E Learning

Lecture courses in the English Language Education Study Program of STKIP Setiabudhi Rangkasbitung are still conducted in face-to-face class, so the students who do not attend lectures cannot know the pronunciation material at that time, because the Pronunciation course is a practical course in the English pronunciation system. The E-Learning Pronunciation is built so that lectures can be carried out anywhere and anytime without reducing the quality of the teaching and learning process. Therefore, the students who are left behind can continue to follow the Pronunciation course material, as well as habituating students in utilizing communication and information technology. E-Learning Pronunciation is important to be built to improve the ability of students’ pronunciation when doing distance learning, so that students are clearer and more firm in understanding Pronunciation so that there are no errors in English pronunciation. Participants in this study were first semester students of English education study programs. This study uses an experimental research design with the Prototype System development method and system of testing uses Black box testing.

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MONITORING IRRIGATION AND DRAINAGE SYSTEMS FROM SATELLITE IMAGERY FROM PUBLIC SOURCES

PROCEEDINGS of Nizhnevolzhskiy agrouniversity complex science and higher vocational education ◽

10.32786/2071-9485-2018-04-51 ◽

2018 ◽

Keyword(s):

Satellite Imagery ◽

Drainage Systems

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Estimate the height of the smoke plume from satellite imagery

Оптика атмосферы и океана ◽

10.15372/aoo20200609 ◽

2020 ◽

Keyword(s):

Satellite Imagery ◽

Smoke Plume

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Unifying Calibration Parameters for Dielectric Moisture Meter

Progress in Agricultural Engineering Sciences ◽

10.1556/progress.2.2006.1.4 ◽

2006 ◽

Vol 2 (1) ◽

pp. 73-94 ◽

Cited By ~ 1

Author(s):

Péter Mészáros ◽

David B. Funk

Keyword(s):

The United States ◽

Temperature Correction ◽

Physical Parameters ◽

Correction Coefficient ◽

Prototype System ◽

United States Department ◽

Very High Frequency ◽

Grain Moisture ◽

University Of Budapest ◽

Improved Accuracy

The Unified Grain Moisture Algorithm is capable of improved accuracy and allows the combination of many grain types into a single “unified calibration”. The purposes of this research were to establish processes for determining unifying parameters from the chemical and physical properties of grains. The data used in this research were obtained as part of the United States Department of Agriculture-Grain Inspection, Packers and Stockyards Administration's Annual Moisture Calibration Study. More than 5,000 grain samples were tested with a Hewlett-Packard 4291A Material/Impedance Analyzer. Temperature tests were done with a Very High Frequency prototype system at Corvinus University of Budapest. Typical chemical and physical parameters for each of the major grain types were obtained from the literature. Data were analyzed by multivariate chemometric methods. One of the most important unifying parameters (Slope) and the temperature correction coefficient were successfully modeled. The Offset and Translation unifying parameters were not modeled successfully, but these parameters can be estimated relatively easily through limited grain tests.

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