• Title/Summary/Keyword: Allocation methods

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Status of region-wise deployment of 119 emergency resources in Korea -Focusing on whether regional criteria are met and the characteristics of the region- (국내 119구급자원의 지역별 배치 현황 -시·군·구별 기준 충족 여부와 지역특성을 중심으로-)

  • Hyeji Kwon;Youngjeon Shin
    • The Korean Journal of Emergency Medical Services
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    • v.28 no.2
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    • pp.157-172
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    • 2024
  • Purpose: Ensuring prompt and consistent 119 emergency services for all citizens is crucial and requires every region to adhere to prescribed deployment standards Methods: This study assessed the compliance with 119 emergency resource deployment standards in 229 districts (si-gun-gu) by analyzing data from 18 fire headquarters as of December 31, 2022. Results: At the Sigun-gu level, 16 areas (7%) did not meet the fire station standards. Among the 229 si-gun-gu, 25 (10.9%) failed operational ambulance standards, and 114 (49.8%) did not meet the 119 first responder standards. Areas lacking fire station standards had lower financial self-sufficiency and higher elderly and single-person elderly household proportions (p<.05). Areas not meeting ambulance standards had lower proportions of these populations, but higher financial self-sufficiency. In addition, areas that did not meet the 119 first-responder standards had greater financial autonomy (p<.05). Areas meeting only basic fire station standards had higher proportions of elderly and single-person households and lower financial self-sufficiency. Areas meeting only ambulance standards had lower financial autonomy, whereas those meeting only emergency medical technician standards had lower financial self-sufficiency and a higher elderly proportions (p<.05). Conclusion: Si-gun-gu, with a large elderly population and poor finances, often fails to meet fire station standards and meets only the basic criteria. Continuous monitoring and targeted management are crucial for reducing disparities in 119 resource allocation and improving the overall deployment.

A Study on Constructability Improvement of LB-DECK Panel (LB-DECK 패널의 시공성 향상에 관한 연구)

  • Cho, Hyun-Chul;Lho, Byeong-Cheol;Cho, Gyu-Dae;Choi, Kyu-Hyung
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.13 no.2 s.54
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    • pp.122-128
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    • 2009
  • This study is to improve constructability of LB-DECK construction in site such as inconvenience of main and distribution bars in arrangements LB-DECK Panel which is work is applied to many bridges these days as a permanent formwork. So, the constructability is improved by changing the method of allocation of main reinforcing bar and distribution bar which is reviewed for improving efficiency of design and construction process among the suggested methods. The crack shapes, deflections, and strains under static load of the improvement of LB-DECK Panel are compared and analyzed to former LB-DECK Panel. As a result, 13% of strength compared to before the improvement of LB-DECK Panel, and 10% of strength is increased in the case of slab.

Passenger Demand Forecasting for Urban Air Mobility Preparation: Gimpo-Jeju Route Case Study (도심 항공 모빌리티 준비를 위한 승객 수요 예측 : 김포-제주 노선 사례 연구)

  • Jung-hoon Kim;Hee-duk Cho;Seon-mi Choi
    • Journal of Advanced Navigation Technology
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    • v.28 no.4
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    • pp.472-479
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    • 2024
  • Half of the world's total population lives in cities, continuous urbanization is progressing, and the urban population is expected to exceed two-thirds of the total population by 2050. To resolve this phenomenon, the Korean government is focusing on building a new urban air mobility (UAM) industrial ecosystem. Airlines are also part of the UAM industry ecosystem and are preparing to improve efficiency in safe operations, passenger safety, aircraft operation efficiency, and punctuality. This study performs demand forecasting using time series data on the number of daily passengers on Korean Air's Gimpo to Jeju route from 2019 to 2023. For this purpose, statistical and machine learning models such as SARIMA, Prophet, CatBoost, and Random Forest are applied. Methods for effectively capturing passenger demand patterns were evaluated through various models, and the machine learning-based Random Forest model showed the best prediction results. The research results will present an optimal model for accurate demand forecasting in the aviation industry and provide basic information needed for operational planning and resource allocation.

Present Status of Soilborne Disease Incidence and Scheme for Its Integrated Management in Korea (국내 토양병해 발생현황과 종합 관리방안)

  • Kim, Choong-Hoe;Kim, Yong-Ki
    • Research in Plant Disease
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    • v.8 no.3
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    • pp.146-161
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    • 2002
  • Incidence of soilborne diseases, as a major cause of failure of continuous monocropping becomes severe in recent years. For examples, recent epidemics of club root of chinese cabbage, white rot of garlic, bacterial wilt of potato, pepper phytophthora blight, tomato fusarium wilt and CGMMV of watermelon are the diseases that require urgent control measures. Reasons for the severe incidence of soilborne diseases are the simplified cropping system or continuous monocropping associated with allocation of major production areas of certain crop and year-round cultivation system that results in rapid degradation of soil environment. Neglect of breeding for disease resistance relative to giving much emphasis on high yield and good quality, and cultural methods putting first on the use of chemical fertilizers are thought to be the reason. Counter-measures against soilborne disease epidemics would become most effective when the remedies are seeded for individual causes. As long-term strategies, development of rational cropping system which fits local cropping and economic condition, development and supply of cultivars resistant to multiple diseases, and improvement of soil environment by soil conditioning are suggested. In short-term strategies, simple and economical soil-disinfestation technology, and quick and accurate forecasting methods for soilborne diseases are urgent matter far development. for these, extensive supports are required in governmental level for rearing soilborne disease specialists and activation of collaborating researches to solve encountering problems of soilborne diseases.

Analysis of conflict cases and suggestions for cooperation in order to activate street performances (거리공연활성화를 위한 갈등사례분석과 협력방안 제안 연구)

  • Hwang, Kyung-Soo;Lee, Gwan-Hong;Yang, Jeong-Cheol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.379-388
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    • 2018
  • This study aims to analyze the causes of conflict between street performing subjects and identify methods to induce their collaboration in promoting a creative city. This study proposes preventive mechanisms after identifying potential problems in performances on the streets of Jeju, which aims to become "the island of culture and art". To this aim, the type and relationship between the subjects of conflict, characters of conflict, solutions, extent and role of tolerance, responses of the subjects, and type of conflict management employed were examined and analyzed. We employed an in-depth interview method involving cases of conflict occurring during street performances in Jeju. were categorized into 6 types. First is conflict resulting from the lack of facilities. Second is conflict caused by non-designated performance venues. Third is conflict due to exclusive ambiance. Fourth is conflict resulting from direct engagement by neighboring residents. Fifth is conflict between residents and police during performances. Sixth is conflict by lack of definite relationship with relevant institutes. To systematically resolve these conflicts, we propose the following management methods: (1) behavioral approach of pretraining through a registration system; (2) establishment of busking zones and allocation after registration; (3) training of facilitators to manage street performances and extended roles; (4) establishment of standards for street performances through the systematic approach of ordinance; (5) training to secure tolerance of residents; and (6) simplification of deliberation process by building a collaborative system among institutes.

Analysis of Wireless Network in Freight Container Terminal and Methods for Service Quality Enhancement (컨테이너 터미널의 무선 네트워크 분석과 서비스 품질 향상 방안)

  • Han, Seung-Ho;Park, Hyun-Sung;Kim, Jong-Deok;Kim, Yong-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.3B
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    • pp.235-246
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    • 2009
  • The number of industry wireless networks based on IEEE 802.11 WLAN technology deployed in large outdoor work sites, such as freight container terminal, is increasing these days. Wider service coverage, frequent movements of stations and high requirement on service reliability are main characteristics of these networks compared to the conventional IEEE 802.11 networks used in home, office and school. While the importance of these networks Bets higher, we can hardly find previous studies including concrete analysis on these networks based on actual experiments. We carried out several field experiments at a freight container terminal to analyze its IEEE 802.11 network and found out some problematic situations, such as over 50% retransmission rates and frequent disruption of communication link while a station is moving. We explain why these problematic situations happen and suggest some solutions, such as application of mesh technology, smart handoff based on location and movement pattern and adjustment of signal strength and channel allocation. Methods and tools used in the experiments are also detailed in the paper which may be helpful for similar future studies.

An Approach for Solid Modeling and Equipment Fleet Management Towards Low-Carbon Earthwork (저탄소 토공을 위한 솔리드 모델링 및 건설장비 플릿관리 방법론)

  • Kim, Sung-Keun;Kim, Gyu-Yeon;Park, Ju-Hyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.2
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    • pp.501-514
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    • 2015
  • Earthwork is a basic operation for all forms of civil works and affects construction time, cost and productivity. It is a mechanized operation that needs various construction equipment as a group and uses a lot of fuel for construction equipment. But, the problem is that earthwork operation is usually performed by equipment operator's heuristic and intuition, which can cause low productivity, high fuel consumption, and high carbon dioxide emission. As one of solutions for this problem, the fleet management system for construction equipment is suggested for effective earthwork planning, optimal equipment allocation, efficient machine operation, fast information exchange, and so forth. The purpose of this research is to suggest core methods for developing the equipment fleet management system. The methods include 3D solid parametric model generation, soil distribution using Cctree data structure, equipment fleet construction and equipment fleet operation. A simulation test is performed to verify the effectiveness of the equipment fleet management system in terms of equipment operating ratio, fuel usage, and $CO_2$ emission.

Applied geography:retrospect and prospects (응용지리학 일반의 회고와 전망)

  • ;Lee, Hee-Yeon
    • Journal of the Korean Geographical Society
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    • v.31 no.2
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    • pp.329-345
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    • 1996
  • The purposes of this study are to review research trends of applied geography field, to retrospect geographical works done by Korean geographers in applied geography, and to prospect the future of applied geography. We are in the period where societal problems such as energy, transportation, pollution, environment, health care, and many others, require careful consideration and need throughout strategies for solution. Most societal problems have some geographical dimensions. Because these problems are geographic in nature, there is an obvious implication that geography as a discipline has something to offer in their solutions. In fact, most geographic problems are best presented and analyzed through the applications of geographic theories, concepts and tools. Applied geography is a branch of general geography. It relies on the scientific methods and uses the principles and methods of pure geography. However applied geography is different in that it analyzes and evaluates real world action and planning and seeks to implement and manipulate environmental and spatial realities. Thus, geographic theories and other social theories that have geographic dimensions are fundamental to applied geography. Applied geography has a short history as theme in Korean geography. During the last two decades. Korea achieved remarkable economic growth. We have also encountered widening regional disparity, housing shortage of larger cities, transportation congestion, environmental pollution and many other problems. Applied geographers have tried to analyze and solve such spatial problems during the last 30 years. The research trend of Korean applied geography can be subdivided into 5 categories: (1) land use analysis and efficient utilization, (2) national physical development and planning. (3) regional development and regional planning, (4) tourism and location-allocation, transportation planning. Still the overconcentration of Seoul metropolitan region and unbalanced regional development are perceived to be the serious spatial problems which may induce more works to solve these problems. In Korea new emphasis has to be given to some professional training and experimental learning, including methodology, field techniques data management, statistical analysis, cartography, GIS, and other tools, as applicable and beneficial to problem solving in real world. The growth of applied geography depends on new insights and purposed solutions of future applied geographers in Korea. Applied geographers will contribute to the creation of future Korean geographies.

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The Study of the Sham Acupuncture for Double Blind (이중맹검을 위한 Sham Acupuncture에 대한 임상연구)

  • Lim, Jeong-A;Seo, Jung-Chul;Lee, Eun-Yong;Lee, Hyang-Sook;Moon, Hyung-Cheol;Choi, Sun-Mi;Hwang, Woo-Joon;Cho, Nam-Geun;Kim, Sung-Chul
    • Journal of Acupuncture Research
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    • v.23 no.5
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    • pp.127-144
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    • 2006
  • Background and Purpose : Though there were many clinical studies of acupuncture effects they didn't have appropriate control group. So we didn't say it was true acupuncture effect, though subjects in clinical study improved. To investigate the possibility of sham acupuncture application, we examined how well subjects distinguished real acupuncture from sham acupuncture. Methods : We investigate the possibility of sham acupuncture application as the following 3 kinds of methods. 1. The public (n=60) and Oriental Medicine Doctors (n=20) looked at the appearance of acupuncture and then were treated with randomly allocated acupuncture and judged it as real or sham. 2. The public (n=60) and Oriental Medicine doctors (n=20) were treated with randomly allocated acupuncture, then they looked at the appearance of acupuncture and judged it as real or sham. 3. The public (n=60) were treated with randomly allocated acupuncture (right-real-left-sham), (right-sham-left-real), (left-real-right-sham), (left-sham-right-real), then they judged it as real or sham. Results : 1. When the public (n=60) looked at the acupuncture appearance, the correct judgement ratio was 63.3%. After they were treated with acupuncture, the correct judgement ratio was 50.0%. 2. When Oriental Medicine doctors (n=20) looked at the acupuncture appearance, the correct judgement ratio was 25.0%. After they were treated with acupuncture, the correct judgement ratio was 45.0%. 3. When the public (n=60) were treated with acupuncture, the correct judgement ratio was 50.0%. After they looked at the acupuncture appearance, the correct judgement ratio was 63.3%. 4. When Oriental Medicine doctors (n=20) were treated with acupuncture, the correct judgement ratio was 65.5%. After they looked at the acupuncture appearance, the correct judgement ratio was 65.0%. 5. After the public (n=60) were treated with randomly allocated sham or real acupuncture as (right-real-left-sham), (right-sham-left-real), (left-real-right-sham), or (left-sham-right-real). the correct judgement ratio was 66.7% in looking at the acupuncture appearance group, and in not looking at 60.0%. Conclusion : These results indicated that Kim Sham Acupuncture could apply to the double blind clinical study of acupuncture effect. And more continuous studies are needed on Sham Acupuncture apparatus.

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An Application of Artificial Intelligence System for Accuracy Improvement in Classification of Remotely Sensed Images (원격탐사 영상의 분류정확도 향상을 위한 인공지능형 시스템의 적용)

  • 양인태;한성만;박재국
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.20 no.1
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    • pp.21-31
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    • 2002
  • This study applied each Neural Networks theory and Fuzzy Set theory to improve accuracy in remotely sensed images. Remotely sensed data have been used to map land cover. The accuracy is dependent on a range of factors related to the data set and methods used. Thus, the accuracy of maps derived from conventional supervised image classification techniques is a function of factors related to the training, allocation, and testing stages of the classification. Conventional image classification techniques assume that all the pixels within the image are pure. That is, that they represent an area of homogeneous cover of a single land-cover class. But, this assumption is often untenable with pixels of mixed land-cover composition abundant in an image. Mixed pixels are a major problem in land-cover mapping applications. For each pixel, the strengths of class membership derived in the classification may be related to its land-cover composition. Fuzzy classification techniques are the concept of a pixel having a degree of membership to all classes is fundamental to fuzzy-sets-based techniques. A major problem with the fuzzy-sets and probabilistic methods is that they are slow and computational demanding. For analyzing large data sets and rapid processing, alterative techniques are required. One particularly attractive approach is the use of artificial neural networks. These are non-parametric techniques which have been shown to generally be capable of classifying data as or more accurately than conventional classifiers. An artificial neural networks, once trained, may classify data extremely rapidly as the classification process may be reduced to the solution of a large number of extremely simple calculations which may be performed in parallel.