The methodology introduces the establishment of a regional ginseng information system, which combines a ginseng database and GIS functionalities. The use of a database and GIS in the execution of ginseng studies may be expressed as shown in Kumsan-Gun. The process from defining a high-quality ginseng problem to providing advice and suggestions for solution of the problem is carried out through five steps: a) data collection and retrieval of data from a database; b) processing of data and preparing model input using a GIS; c) running a high quality-ginseng model; d) interpretation of model output using GIS; e) visualization and translation of study results for discussion with involved parties and advice to principals. In ginseng management it is necessary to deal efficiently and adequately with occurring ginseng situation and problems. This requires the availability of a ginseng information system based on a GIS in Kumsan-Gun, which provides up-to-date information which is quickly accessible and easy to process.
Deep learning (DL) is a subset of machine learning and artificial intelligence that has a deep neural network with a structure similar to the human neural system and has been trained using big data. DL narrows the gap between data acquisition and meaningful interpretation without explicit programming. It has so far outperformed most classification and regression methods and can automatically learn data representations for specific tasks. The application areas of DL in radiation oncology include classification, semantic segmentation, object detection, image translation and generation, and image captioning. This article tries to understand what is the potential role of DL and what can be more achieved by utilizing it in radiation oncology. With the advances in DL, various studies contributing to the development of radiation oncology were investigated comprehensively. In this article, the radiation treatment process was divided into six consecutive stages as follows: patient assessment, simulation, target and organs-at-risk segmentation, treatment planning, quality assurance, and beam delivery in terms of workflow. Studies using DL were classified and organized according to each radiation treatment process. State-of-the-art studies were identified, and the clinical utilities of those researches were examined. The DL model could provide faster and more accurate solutions to problems faced by oncologists. While the effect of a data-driven approach on improving the quality of care for cancer patients is evidently clear, implementing these methods will require cultural changes at both the professional and institutional levels. We believe this paper will serve as a guide for both clinicians and medical physicists on issues that need to be addressed in time.
Monitoring water surface has become one of the most prominent areas of research in addressing environmental challenges.Accurate and automated detection of watersurface in remote sensing imagesis crucial for disaster prevention, urban planning, and water resource management, particularly for a country where water plays a vital role in human life. However, achieving precise detection poses challenges. Previous studies have explored different approaches,such as analyzing water indexes, like normalized difference water index (NDWI) derived from satellite imagery's visible or infrared bands and using k-means clustering analysis to identify land cover patterns and segment regions based on similar attributes. Nonetheless, challenges persist, notably distinguishing between waterspectralsignatures and cloud shadow or terrain shadow. In thisstudy, our objective is to enhance the precision of water surface detection by constructing a comprehensive water database (DB) using existing digital and land cover maps. This database serves as an initial assumption for automated water index analysis. We utilized 1:5,000 and 1:25,000 digital maps of Korea to extract water surface, specifically rivers, lakes, and reservoirs. Additionally, the 1:50,000 and 1:5,000 land cover maps of Korea aided in the extraction process. Our research demonstrates the effectiveness of utilizing a water DB product as our first approach for efficient water surface extraction from satellite images, complemented by our second and third approachesinvolving NDWI analysis and k-means analysis. The image segmentation and binary mask methods were employed for image analysis during the water extraction process. To evaluate the accuracy of our approach, we conducted two assessments using reference and ground truth data that we made during this research. Visual interpretation involved comparing our results with the global surface water (GSW) mask 60 m resolution, revealing significant improvements in quality and resolution. Additionally, accuracy assessment measures, including an overall accuracy of 90% and kappa values exceeding 0.8, further support the efficacy of our methodology. In conclusion, thisstudy'sresults demonstrate enhanced extraction quality and resolution. Through comprehensive assessment, our approach proves effective in achieving high accuracy in delineating watersurfaces from satellite images.
International Journal of Computer Science & Network Security
/
v.21
no.7
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pp.257-266
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2021
This article examines the features of improving the public management of the market of medical and social services using information technology to improve the efficiency of public activity in modern conditions. The interpretation of the essence of the categories "information technologies" and "information support" is analyzed. The importance of the organization of information support of public authorities in the insurance of the state apparatus of information management for the adoption and solution of state issues of the market of medical and social services has been studied. Issues and system of information support of public management of the market of medical and social services are considered. The stages of the ICT implementation process in the market of medical and social services are described. The tools of state regulation in the market of medical and social services and the introduction of targeted programs for the development of the social sphere and health care are highlighted. Recommendations for improvement are formulated public management of the market of medical services and social way introduction of ICT tools, which provide for the implementation of a set of measures aimed at intellectualizing the entire system public data management spheres. The necessity of development of innovative tools of public management of the market of medical and social services of Ukraine for the purpose of working out of strategies of increase of quality of medical and social services in the XXI century is substantiated. A number of benefits from the implementation of an effective process of application of information support of public management of the market of medical and social services to ensure the efficiency of public authorities of Ukraine. It is proposed to create a "Department of information support of self-government" and electronic health care system (e-Health) to improve the management decision-making process, which will provide an opportunity to accumulate, process, analyze, and as a result, get the expected effect in the form of balanced management decisions by public authorities of Ukraine.
Kim, Gu Hyeok;Park, Nyung Hee;Choi, Seok Keun;Choi, Jae Wan
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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v.34
no.4
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pp.413-423
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2016
Worldview-3 satellite sensor provides panchromatic image with high-spatial resolution and 8-band multispectral images. Therefore, an image-sharpening technique, which sharpens the spatial resolution of multispectral images by using high-spatial resolution panchromatic images, is essential for various applications of Worldview-3 images based on image interpretation and processing. The existing pansharpening algorithms tend to tradeoff between spectral distortion and spatial enhancement. In this study, we applied six pansharpening algorithms to Worldview-3 satellite imagery and assessed the quality of pansharpened images qualitatively and quantitatively. We also analyzed the effects of time lag for each multispectral band during the pansharpening process. Quantitative assessment of pansharpened images was performed by comparing ERGAS (Erreur Relative Globale Adimensionnelle de Synthèse), SAM (Spectral Angle Mapper), Q-index and sCC (spatial Correlation Coefficient) based on real data set. In experiment, quantitative results obtained by MRA (Multi-Resolution Analysis)-based algorithm were better than those by the CS (Component Substitution)-based algorithm. Nevertheless, qualitative quality of spectral information was similar to each other. In addition, images obtained by the CS-based algorithm and by division of two multispectral sensors were shaper in terms of spatial quality than those obtained by the other pansharpening algorithm. Therefore, there is a need to determine a pansharpening method for Worldview-3 images for application to remote sensing data, such as spectral and spatial information-based applications.
According to Mead's (1934) symbolic interaction theory, social roles are learned through interaction and experiences in everyday life. Over time, these rules of behavior become internalized and serve to structure one's actions accordingly. Ultimately, these rules provide us with a powerful means of controlling our actions, and in time, they define our identity. Transforming the socialization process is one's conscious interpretation of stimuli through the use of symbols. Furthermore, society's perceptual processes can be shaped by the symbols we learn. The meaning of symbols can be learned from a variety of social influences, one of which may be mediated messages and advertising. This paper attempts to establish a link between media exposure and one's perception of social reality regarding character judgments made of unknown others based on the target's product or brand usage. Using magazine advertisements for fictitious products, the experiment herein seeks to establish two fundamental goals: 1) to determine if perceptions can be manipulated via association with companion symbolic elements: and 2) to detect whether television exposure is a moderating factor. Respondents were asked their perceptions of both product quality and of product users.
Journal of Korea Technical Association of The Pulp and Paper Industry
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v.41
no.1
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pp.52-60
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2009
A printing defect known as fluting (or waviness) of the web printed by heatset web offset printing process is one of the chronically serious problems deteriorating print quality. In this paper, fluting occurrence on uncoated papers was explored in terms of many printing conditions including drying temperature, fountain solution amount, ink supply, and press configurations. For this purpose, fluting on prints from real press runs was appraised in a quantitative manner. As results, ink supply was a distinctive factor for fluting such that the lower ink amount, the milder fluting. However increase in fountain solution seemed to make fluting severer while the effect of drying temperature was inconsistent for each paper. This result might indicate variable drying requirements for each paper. Thereby it was suggested that the optimum drying conditions related to the printabilities of each paper need to be established to minimize fluting potential. A press with short dryer and drastic cooling unit produced higher fluting. Suggestions for future work were given along with interpretation for the results.
The World Health Organization (WHO) reported that cancer killed 7.6 million people in the world in 2005, and that 40% of all cancer deaths can be prevented. According to the WHO Global Action Plan Against Cancer (GAPAC), monitoring of cancer patients is the essential part of cancer control, and should be conducted through cancer registration. Originally, cancer registries were primarily concerned with the description of cancer patterns, trends of cancer occurrence, and etiology of cancer. In the last 20 years, cancer registries provided not only information on the incidence and characteristics of specific cancers, but also supplied the source of cancer control planning and evaluation and the care of individual cancer patients with survival. Cancer Incidence in Five Continents (CI5) presents incidence data from populations all over the world every five year. Volume IX in the series (data for 1998-2002) has recently (November 2007) been published online at International Agency for Research on Cancer (IARC). Nine data from Korea Central Cancer Registry (National data), Seoul, Busan, Daegu, Gwangju, Incheon, Daejeon, Usan, Jejudo regional cancer registries were included in that volume. In this paper, the editorial process, the characteristics of national data, and quality indices in CI5 IX are being described. In addition, cancer control activities related to cancer registration in some selected countries are also presented.
Precision agriculture aims to minimize costs and environmental damage caused by agriculture and to maximize crop yield and profitability, based on information collected at within-field locations. In this process, quantification of soil physical properties, including soil strength, would be useful. To quantify and manage variability in soil strength, there is need for a strength sensor that can take measurements continuously while traveling across the field. In this paper, preliminary analyses were conducted using two datasets available with current technology, (1) cone penetrometer readings collected at different compaction levels and for different soil textures and (2) tillage draft (TD) collected from an entire field. The objective was to provide information useful for design of an on-the-go soil strength profile sensor and for interpretation of sensor test results. Analysis of cone index (CI) profiles led to the selection of a 0.5-m design sensing depth, 10-MPa maximum expected soil strength, and 0.1-MPa sensing resolution. Compaction level, depth, texture, and water content of the soil all affected CI. The effects of these interacting factors on data obtained with the soil strength sensor should be investigated through experiments. Spatial analyses of CI and TD indicated that the on-the-go soil strength sensor should acquire high spatial-resolution, high-frequency ($\ge$ 4 Hz) measurements to capture within-field spatial variability.
Purpose: The purposes of this study were as follows; 1) To review the definitions of critical thinking from various perspectives, 2) To examine the critical thinking measurements throughout nursing research, and 3) To review the nursing studies with regard to critical thinking. Methods: This study was a literature review with regard to the critical thinking in nursing in aspects of conceptual meaning, measurements, and research. Results: The definition of critical thinking in nursing included decision making in clinical setting, inference with logical construct to increase nursing quality, interpretation in the context, and evaluation. The critical thinking was a core concept, which meant not only simple nursing process, but included decision making ability. The critical thinking has been conceptualized by both critical thinking disposition and skill. However, there was no nursing specified critical thinking measurement. Critical thinking research has been conducted to describe critical thinking disposition and critical thinking, to determine relationships between critical thinking and clinical competency, and to evaluate the effectiveness of educational programs. Conclusion: The instruments for measuring critical thinking disposition and skill that contain cultural difference and clinical specificity need to be developed to measure critical thinking and increase it.
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