A Method to Extract Essential Information from Meteorological Facsimile Charts

Author(s):  
Kefeng Mao ◽  
Xi Chen ◽  
Kelan Zhu ◽  
Dong Hu ◽  
Yan Li

Using image processing technology to extract important information, such as isoline and weather system of the meteorological facsimile chart, is conducive to integration with other information, and has important practical value in navigation operations, marine weather forecasting, target recognition, and image retrieval. In meteorological facsimile charts, there are many types of medium-value lines, dense lines in some areas, superimposition and presence of multiple information, such as isolines and isoline characters, intersection of specific weather system symbols, etc. For different types of contours, numeric characters, weather system symbols and other object characteristics, the corresponding object extraction and recognition methods are proposed: Remove the latitude and longitude lines and coastline in the meteorological facsimile map by basemap matching; According to the position and shape features of the figure box, extract the meteorological fax figure box, separate and remove the different character tagging information; On the basis of identifying triangles and semicircles in weather symbols of the frontal system, the frontal symbols are extracted based on the circumscribed triangles and template matching. First the contour character on the fax image is expanded into a block connected region. Determine the position of the character information by judging the number of pixels in the connected region, and then use rotation and template matching to identify the numeric character. Using the meteorological facsimile maps of the US Meteorological Center and the Japan Meteorological Center for the main information extraction, experiments show that the method of this paper has a good effect on the complete and accurate symbol extraction of frontal weather systems, and reduces the computational complexity of contour detection, isoline extraction and numerical recognition. The methods can detect some information from weather charts properly and the error rate is very low.

Agrotek ◽  
2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Baso Daeng

<em>The rate of conversion of paddy fields and irrigation water crisis suggest to consider the development of upland rice.� Empowerment of organic-based dryland done to increase rice, as well as environmental sustainability efforts.� The purpose of this experiment was to determine the effect of organic fertilizer residue to upland rice in the second growing season.� Experiments using a split-split plot design.� The main plot consisted of a dosage of 50% and 100% organic fertilizer in the first growing season.� Sub plot consisted of chicken manure (20 tons ha<sup>-1</sup>), <span style="text-decoration: underline;">Centrosema</span>� <span style="text-decoration: underline;">pubescens</span> (4.3 tons ha<sup>-1</sup>) + chicken manure (10 tons ha<sup>-1</sup>), and <span style="text-decoration: underline;">Thitonia</span> <span style="text-decoration: underline;">diversifolia</span> (4.3 tons ha<sup>-1</sup>) + chicken manure (10 tons ha<sup>-1</sup>).� Sub-sub plot consist of Danau Gaung and Batu Tegi varieties.� The different types of fertilizer had no effect on plant productivity.� The addition of <span style="text-decoration: underline;">Thitonia</span> <span style="text-decoration: underline;">diversifolia</span> gave a good effect on some growth variable and its resistance due pathogen attack.� Batu Tegi varieties are varieties that give the best response from an organic fertilizer.� Interaction between dosage, type of fertilizer, and varieties do not provide areal impact.</em>


Author(s):  
Pushpendra Singh ◽  
P.N. Hrisheekesha ◽  
Vinai Kumar Singh

Content based image retrieval (CBIR) is one of the field for information retrieval where similar images are retrieved from database based on the various image descriptive parameters. The image descriptor vector is used by machine learning based systems to store, learn and template matching. These feature descriptor vectors locally or globally demonstrate the visual content present in an image using texture, color, shape, and other information. In past, several algorithms were proposed to fetch the variety of contents from an image based on which the image is retrieved from database. But, the literature suggests that the precision and recall for the gained results using single content descriptor is not significant. The main vision of this paper is to categorize and evaluate those algorithms, which were proposed in the interval of last 10 years. In addition, experiment is performed using a hybrid content descriptors methodology that helps to gain the significant results as compared with state-of-art algorithms. The hybrid methodology decreases the error rate and improves the precision and recall for large natural scene images dataset having more than 20 classes.


2021 ◽  
Vol 13 (11) ◽  
pp. 2123
Author(s):  
Aaron Aeberli ◽  
Kasper Johansen ◽  
Andrew Robson ◽  
David Lamb ◽  
Stuart Phinn

Unoccupied aerial vehicles (UAVs) have become increasingly commonplace in aiding planning and management decisions in agricultural and horticultural crop production. The ability of UAV-based sensing technologies to provide high spatial (<1 m) and temporal (on-demand) resolution data facilitates monitoring of individual plants over time and can provide essential information about health, yield, and growth in a timely and quantifiable manner. Such applications would be beneficial for cropped banana plants due to their distinctive growth characteristics. Limited studies have employed UAV data for mapping banana crops and to our knowledge only one other investigation features multi-temporal detection of banana crowns. The purpose of this study was to determine the suitability of multiple-date UAV-captured multi-spectral data for the automated detection of individual plants using convolutional neural network (CNN), template matching (TM), and local maximum filter (LMF) methods in a geographic object-based image analysis (GEOBIA) software framework coupled with basic classification refinement. The results indicate that CNN returns the highest plant detection accuracies, with the developed rule set and model providing greater transferability between dates (F-score ranging between 0.93 and 0.85) than TM (0.86–0.74) and LMF (0.86–0.73) approaches. The findings provide a foundation for UAV-based individual banana plant counting and crop monitoring, which may be used for precision agricultural applications to monitor health, estimate yield, and to inform on fertilizer, pesticide, and other input requirements for optimized farm management.


2020 ◽  
Vol 1 (2) ◽  
pp. 28-37
Author(s):  
Kraetschmer K

Background and Aim: On the background of recent developments revealing the harmful effects of contraceptive devices which are recommended by health agencies the paper aims at analyzing publications and other information material emanating from these agencies. This analysis – guided by the bioethical principle of informed consent — focuses on flawed science, ambiguous language, and misleading data. Method and Material: The method consists of collecting and analyzing information provided by health agencies for consumers inquiring about the safety and efficacy of contraceptive products. The material comprises documents, charts, leaflets and other publications emanating from the most authoritative and most frequently consulted health agencies, in particular those active in the US and European countries. Results and Implications: As a result of the investigation women must be advised to consult only a selected number of health agencies, especially those which take into account findings of pharmacovigilance, pharmaceutical vigilance, and scholarly publications focusing on the safety of contraception. The implications from an economic perspective are the discontinuation of funding through taxpayer money for those health agencies which continue to disseminate flawed science and demonstrate incompetence in questions about the safety of contraception.


2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Hao Zhi ◽  
Jianying Cui ◽  
Hongli Yang ◽  
Yonggang Zhang ◽  
Meng Zhu

Geraniol is an acyclic monoterpenoid compound, which exists widely in aromatic plants. Geraniol has antibacterial and anti-inflammatory effects. Recently, it has been found that geraniol has a strong effect on improving immune function and anti-tumor. Many experimental evidences support that geraniol has a good effect on the treatment or prevention of different types of tumors, such as breast cancer, lung cancer, liver cancer, pancreatic cancer, colon cancer, prostate cancer, etc. it also has a synergistic anti-cancer effect with many anti-cancer drugs, revealing the mechanism of its more complex anti-tumor pharmacological action System. In this review, we summarized a variety of anti-cancer signaling pathways and targets. Geraniol is considered to be a safe, effective and promising multi-target anti-cancer drug, which is expected to become an important force in the anti-cancer of traditional Chinese medicine.


Author(s):  
Robert Volpicelli

Transatlantic Modernism and the US Lecture Tour examines how the US lecture tour served as a vital infrastructure for bringing regional audiences from all across America into direct contact with international modernists. In doing so, the book reroutes scholarly understandings of modernism away from the magazines and other mass media that have so far characterized its circulation and toward the unique form of cultural distribution that coalesced around public lecturing. More specifically, it highlights the role the lecture circuit played in the formation of transatlantic modernism by following a diverse group of international authors—Oscar Wilde, W. B. Yeats, Rabindranath Tagore, Gertrude Stein, and W. H. Auden—on their wide-ranging tours through the American landscape. By analyzing these tours, this study illuminates how this extremely physical form of literary circulation transformed authors into commodities to be sold in a variety of performance venues. Moreover, it shows how these writers responded to such broad distribution by stretching their own ideas about modernist authorship. In this way, Transatlantic Modernism and the US Lecture Tour adds to a critical tradition of revealing the popular dimensions of modernism by demonstrating how the tour’s social diversity forced modernists to take on new, more flexible forms of self-presentation that would allow them to appeal to many different types of audiences.


2021 ◽  
Vol 12 (2) ◽  
pp. 10-20
Author(s):  
Mouza Said Al Kalbani ◽  
Ahmad Bintouq

Funding of higher education institutions is a major growing expense for the Oman government (13–14% of the total spending in 2016) and is at par with that of other governments (e.g., 11% in the UK and 15.5% in the US). However, there has been little investigation into the funding of quality higher education in Oman. The present research project aims to explore the sources of funding at Oman universities after it opened the private education sector in 1996. The research methodology includes conducting interviews with leaders in higher education to explore different types of funding (e.g., gifts, tuition fees, government support). This will enhance our understanding, as well as that of decision-makers, regarding universities' funding sources and of the higher education landscape.


Author(s):  
Dr Karen Dyer

Each Concentrate revision guide is packed with essential information, key cases, revision tips, exam Q&As, and more. Concentrates show you what to expect in a law exam, what examiners are looking for, and how to achieve extra marks. This chapter discusses the issue of damages, covering key debates, sample questions, diagram answer plan, tips for getting extra marks, and online resources. To answer questions on this topic, students need to understand the following: the primary purpose behind an award of damages; the different types of damages; the three principal types of damage for which a remedy may be available: personal injury (death and psychiatric harm included), property damage, economic loss; and how to calculate an award (in principle).


Author(s):  
Jill Poole ◽  
James Devenney ◽  
Adam Shaw-Mellors

Each Concentrate revision guide is packed with essential information, key cases, revision tips, exam Q&As, and more. Concentrates show you what to expect in a law exam, what examiners are looking for, and how to achieve extra marks. This chapter discusses the identification of actionable misrepresentations which affect the fairness of the process by which a contract was entered into, and render that contract voidable for misrepresentation (liable to be set aside and the parties restored to their pre-contractual positions). It identifies three types of misrepresentation depending on the state of mind of the misrepresentor: fraudulent, negligent, or innocent. It distinguishes between remedies available for the different types of pre-contractual statements, specifically rescission and damages for the different types of misrepresentations and briefly explains the distinction between commercial contracts and the remedies available to consumers under the CPRs 2008.


Author(s):  
Iain McDonald ◽  
Anne Street

Each Concentrate revision guide is packed with essential information, key cases, revision tips, exam Q&As, and more. Concentrates show you what to expect in a law exam, what examiners are looking for, and how to achieve extra marks. When a person transfers legal title to another, the legal title is said to vest in the other person. This chapter considers the rules for the transfer of title (ownership) in property in relation to different types of property. The general principle is that unless the property has been transferred by the correct legal rules then the transfer fails; it is said to be imperfect. The chapter begins by briefly considering the legal rules in relation to validly transferring property to another person. It then deals with equitable rules which have developed to overcome the strict application of the legal rules of vesting.


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