• Title/Summary/Keyword: Selections

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Improvement for Marine Environmental Impact Assessment on the Development of Offshore Wind Power (해상풍력개발사업의 바다환경영향평가 개선방안)

  • Kim, Gui-Young;Lee, Dae-In;Jeon, Kyeong-Am;Eom, Ki-Hyuk;Yu, Jun
    • Journal of Environmental Impact Assessment
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    • v.21 no.1
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    • pp.1-13
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    • 2012
  • We diagnosed on status and problems of environmental assessment regarding development of offshore wind power, and also on reasonable core assessment items. Most of the coastal wind power are located on the western coastline of Korea and Jeju Island. In the selections of the site for the offshore wind farms, a previous investigations should be conducted with regard to distances from the land, stabilities from external forces (tide, wave, etc.) and topographical changes, and characteristics of the surroundings (distributions of protected area, fishing ground, artificial seagrasses, and shipping traffic). It is needed to assess dispersion of suspended solids, changes of the sea bottom, and impacts on fisheries resources and fishing activities under construction of offshore wind power. Furthermore, the responses of marine organisms to noise and vibration, impacts by electromagnetic fields, impacts on sea birds, hindrances to sea lane routes, and damaged scenery and marine protection areas are thoroughly assessed during operation processes. The consultation criteria in case of development of offshore wind farm is adjusted by focusing marine environmental impact assessment.

Spatial Analysis by Matching Methods using Elevation data of Aerophoto and LIDAR (항공사진과 LIDAR 표고 데이터의 매칭 기법에 의한 공간정보 분석 연구)

  • Yeon, sang-ho;Lee, Young-wook
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.449-452
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    • 2008
  • The building heights of big cities which charged with most space are 3-D information as relative vertical distance from ground control points, but they didn't know the heights using contour with maps as lose of skyline or building heights for downtown, practically continuously developed of many technology methods for implementation of 3-D spatial earth. So, For the view as stereos of variety earth form generated 3-D spatial and made terrain perspective map, 3-D simulated of regional and urban space as aviation images. In this papers, it composited geospatial informations and images by DEM generation, and developed and presented for techniques overlay of CAD data and photos captured at our surroundings uses. Particularly, The airborne LiDAR surveying which are very interesting trend have laser scanning sensor and determine the ground heights through detecting angle and range to the grounds, and then designated 3-D spatial composite and simulation from urban areas. Therefore in this papers are suggested ease selections on the users situation by compare as various simulations that its generation of 3-D spatial image by collective for downtown space and urban sub, and the implementation methods for more accurate, more select for the best images.

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Parents' meal choices for their children at fast food and family restaurants with different menu labeling presentations

  • Lee, Kiwon;Lee, Youngmi
    • Nutrition Research and Practice
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    • v.12 no.3
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    • pp.243-250
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    • 2018
  • BACKGROUND/OBJECTIVES: This study examined the effect of nutrition labeling formats on parents' food choices for their children at different restaurant types. SUBJECTS/METHODS: An online survey was conducted with 1,980 parents of children aged 3-12 years. Participants were randomly assigned to fast food or family restaurant scenarios, and one of four menu stimuli conditions: no labeling, low-calorie symbol (symbol), numeric value (numeric), and both low-calorie symbol and numeric value (symbol + numeric). Participants selected menu items for their children. Menu choices and total calories were compared by nutrition labeling formats in each type of the restaurant. RESULTS: Low-calorie item selections were scored and a two-way analysis of variance (ANOVA) was conducted for an interaction effect between restaurant and labeling type. In the fast food restaurant group, parents presented with low-calorie symbols selected the lowest calorie items more often than those not presented with the format. Parents in the symbol + numeric condition selected significantly fewer calories (653 kcal) than those in the no labeling (677 kcal) or numeric conditions (674 kcal) (P = 0.006). In the family restaurant group, no significant difference were observed among different labeling conditions. A significant interaction between restaurant and labeling type on low-calorie selection score (F = 6.03, P < 0.01) suggests that the effect of nutrition labeling format interplays with restaurant type to jointly affect parents' food choices for their children. CONCLUSIONS: The provision of easily interpretable nutritional information format at fast food restaurants may encourage healthier food choices of parents for their children; however, the effects were negligible at family restaurants.

Design, Implementation, and Performance Evaluation of an Embedded RDBMS Miracle (Miracle 임베디드 RDBMS 설계, 구현 및 성능 평가)

  • Seo, Nam-Won;Kim, Keong-Yul;Kim, Su-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.7
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    • pp.3227-3235
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    • 2011
  • In this paper, a relational embedded DBMS was designed and a prototype 'Miracle' RDBMS (MDB) was developed. MDB is written in C and works on Unix, Linux and Windows platforms locally. It accesses database through SQL interfaces and API functions and uses $B^+$ tree index. It guarantees ACID in transactions and supports low concurrency control and processes SQL statements on a single table. To evaluate the performance of MDB on an ARM board EZ-S3C6410 and to compare the performance of MDB with that of SQLite, an experiment was carried out to estimate processing times for insertion, selection, update and deletion operations. The result shows that the average times for selections and insertions in MDB were 38.46% and 22.86% faster than those in SQLite, respectively, but the average times for updates and deletions in SQLite were 28.33% and 26.00% faster than MDB, respectively, This experiment shows that fetching data from database and sending data to database in MDB is faster than in SQLite, but $B^+$ tree index is implemented more effectively in SQlite than in MDB.

A Data Mining Approach for Selecting Bitmap Join Indices

  • Bellatreche, Ladjel;Missaoui, Rokia;Necir, Hamid;Drias, Habiba
    • Journal of Computing Science and Engineering
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    • v.1 no.2
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    • pp.177-194
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    • 2007
  • Index selection is one of the most important decisions to take in the physical design of relational data warehouses. Indices reduce significantly the cost of processing complex OLAP queries, but require storage cost and induce maintenance overhead. Two main types of indices are available: mono-attribute indices (e.g., B-tree, bitmap, hash, etc.) and multi-attribute indices (join indices, bitmap join indices). To optimize star join queries characterized by joins between a large fact table and multiple dimension tables and selections on dimension tables, bitmap join indices are well adapted. They require less storage cost due to their binary representation. However, selecting these indices is a difficult task due to the exponential number of candidate attributes to be indexed. Most of approaches for index selection follow two main steps: (1) pruning the search space (i.e., reducing the number of candidate attributes) and (2) selecting indices using the pruned search space. In this paper, we first propose a data mining driven approach to prune the search space of bitmap join index selection problem. As opposed to an existing our technique that only uses frequency of attributes in queries as a pruning metric, our technique uses not only frequencies, but also other parameters such as the size of dimension tables involved in the indexing process, size of each dimension tuple, and page size on disk. We then define a greedy algorithm to select bitmap join indices that minimize processing cost and verify storage constraint. Finally, in order to evaluate the efficiency of our approach, we compare it with some existing techniques.

Hyperspectral Remote Sensing for Agriculture in Support of GIS Data

  • Zhang, Bing;Zhang, Xia;Liu, Liangyun;Miyazaki, Sanae;Kosaka, Naoko;Ren, Fuhu
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1397-1399
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    • 2003
  • When and Where, What kind of agricultural products will be produced and provided for the market? It is a commercial requirement, and also an academic questions to remote sensing technology. Crop physiology analysis and growth monitoring are important elements for precision agriculture management. Remote sensing technology supplies us more selections and available spaces in this dynamic change study by producing images of different spatial, spectral and temporal resolutions. Especially, the hyperspectral remote sensing should do play a key role in crop growth investigation at national, regional and global scales. In the past five years, Chinese academy of sciences and Japan NTT-DATA have made great efforts to establish a prototype information service system to dynamically survey the vegetable planting situation in Nagano area of Japan mainly based on remote sensing data. For such concern, a flexible and light-duty flight system and some practical data processing system and some necessary background information should be rationally made together. In addition, some studies are also important, such as quick pre-processing for hyperspectral data, Multi-temporal vegetation index analysis, hyperspectral image classification in support of GIS data, etc. In this paper, several spectral data analysis models and a designed airborne platform are provided and discussed here.

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Factors Associated with Dental Revenue and Income of Self-Employed Dentist by Using a Quantile Regression Method (분위회귀분석을 이용한 개업 치과의사의 의료수익과 소득에 미치는 요인)

  • Choi, Hyungkil;Kim, Myeng Ki
    • Health Policy and Management
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    • v.25 no.3
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    • pp.240-251
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    • 2015
  • Background: Dentist's income is quite variable. We investigate the factors underlying the distribution of dental revenue and dentist income. Methods: Financial and structural variables of private dental practices(N=13,967) were examined with 2010 Economic Census microdata which include non-insurance revenue. We conducted quantile regression method(QRM) and ordinary least square(OLS) in treating skewness and heteroskedasticity of distributions. The effective estimation for the upper and lower range of distribution becomes possible by QRM. Results: Mid-career dentists are shown to have higher revenue and income. Male dentists achieve the higher revenue and income than female dentists in all quantiles. Group practices show lower income per owner than solo practices significantly. The revenue and income are increased with increasing size of clinics. The high cost in renting the clinic office is found to have a big positive effect on the revenue but a little positive effect on the income. Interestingly the density of dentists shows negative effect on the lowest quantile of the revenue but positive effect on the highest quantile. The lowest quantile of the revenue in the capital areas have the relatively high revenue. The lowest quantile of the income in metropolitan city show higher income than those in other areas significantly. Conclusion: The suggested QRM is shown to have more effective and efficient tool in finding out determinants of dentists' revenue and income of our concern. The results of this study are expected to be employed for dentists preparing for the opening practices in their organizational settings and locational selections. The distributional efficiency of dental human resources could be accomplished if policy makers guide dentists with this knowledge.

Selection of Pear Trees Free from Pear Black Leaf Spot Disease and Resistant Test for Pear Tree Cultivars (배나무잎검은점병 무독수의 선발 및 품종 저항성)

  • Oh, Jung Hwan;Nam, Ki Woong;Mizutani, Fusao
    • Horticultural Science & Technology
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    • v.19 no.1
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    • pp.43-47
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    • 2001
  • This study was conducted to investigate the integrated control strategy against pear black leaf spot disease. Using indicator plant PS-95 we selected six virus-free trees (cv. Niitaka) from commercial orchards in the major pear production area. Disease symptom by pear black leaf spot in the shoot of pear (Niitaka) has been successfully inhibited by heat treatments for 3 weeks at temperature of $40^{\circ}C$ (day) and $32^{\circ}C$ (night) or 4 weeks at $37^{\circ}C$ and $30^{\circ}C$, respectively. However, survival rate of the shoot tips on stocks was low. Seven cultivars Niitaka, Imamura- aki, Waseaka, Nijisseiki, Wasenijisseiki, Shinsetsu and Whangkeumbae produced visible symptoms in the first year after inoculation with the virus. Other 11 selections remained symptomless. Two resistant cultivars Suwhangbae and Gamcheonbae were selected, which showed high fruit quality. It is recommended that these cultivars could be top-grafted onto the infected Niitaka trees to overcome the damage caused by the disease in the orchard.

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A New Single Mini-gerbera 'Sun Cap' with Bi-color for Cut Flower (홑꽃 소륜 복색 절화용 거베라 '썬캡' 육성)

  • Chung, Yong-Mo;Hwang, Ju-Chean;Chin, Young-Don;Kim, Su-Kyeong;Ro, Chi-Woong;Yi, Young-Byung;Kwon, Oh-Chang
    • Horticultural Science & Technology
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    • v.29 no.1
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    • pp.77-80
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    • 2011
  • A new bi-color mini gerbera (Gerbera hybrida Hort.) 'Sun Cap' was developed from a cross of '99-ga-2' and '99-na-3-1' followed by seedling and line selections at the Flower Research Institute, Gyeongnam Agricultural Research and Extension Services (ARES) in 2007. Characteristic tests were conducted three times from 2004 to 2007. 'Sun Cap' has single type in good harmony with bi-color (Red/Yellow, RHS 45-B/9-A) ray floret and green center. It has good stable flower shape and strong peduncle. Its vase life was 13.5 days. The average yield of 'Sun Cap' was 102.6 flowers per plant a year in greenhouse. Yield trials were carried out from 2004 to 2007. This cultivar was registered for commercialization in 2009. 'Sun Cap' would be cultured under greenhouse condition in Korea.

A Genre-based Classification of Digital Documents by using Deviation Statistic of Genre-revealing Term and Subject-revealing Term (장르와 주제 범주간 용어 편차정보를 이용한 디지털 문서의 장르기반 분류)

  • 이용배;맹성현
    • Journal of KIISE:Software and Applications
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    • v.30 no.11
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    • pp.1062-1071
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    • 2003
  • A genre-based classification means classifying documents by the purpose for which they were written, not by the semantics or subject areas. Most genre classifying methods in the past were based on the existing documents categorization algorithms and ineffective for feature selections, resulting in low quality classification results. In this research, we propose a new method for automatic classification of digital documents by genre. The genre classifier we developed uses the deviation statistic between the genre-revealing term frequencies and between the subject-revealing term frequencies within a genre. We collected Web documents to evaluate the proposed genre classification method. The experimental results show that the proposed method outperforms a direct application of a kai-square feature selection and bayesian classifier often used for subject classification by proving an excellent accuracy of about 30 percent.