• Title/Summary/Keyword: Allocation methods

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Adaptive Beamwidth Control Technique for Low-orbit Satellites for QoS Performance improvement based on Next Generation Military Mobile Satellite Networks (차세대 군 모바일 위성 네트워크 QoS 성능 향상을 위한 저궤도 위성 빔폭 적응적 제어 기법)

  • Jang, Dae-Hee;Hwang, Yoon-Ha;Chung, Jong-Moon
    • Journal of Internet Computing and Services
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    • v.21 no.6
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    • pp.1-12
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    • 2020
  • Low-Orbit satellite mobile networks can provide services through miniaturized terminals with low transmission power, which can be used as reliable means of communication in the national public disaster network and defense sector. However, the high traffic environment in the emergency preparedness situation increases the new call blocking probability and the handover failure probability of the satellite network, and the increase of the handover failure probability affects the QoS because low orbit satellites move in orbit at a very high speed. Among the channel allocation methods of satellite communication, the FCA shows relatively better performance in a high traffic environment than DCA and is suitable for emergency preparedness situations, but in order to optimize QoS when traffic increases, the new call blocking and the handover failure must be minimized. In this paper, we propose LEO-DBC (LEO satellite dynamic beam width control) technique, which improves QoS by adaptive adjustment of beam width of low-orbit satellites and call time of terminals by improving FCA-QH method. Through the LEO-DBC technique, it is expected that the QoS of the mobile satellite communication network can be optimally maintained in high traffic environments in emergency preparedness situations.

The Floor Layout Plan of Classrooms for Securing Evacuation Stability in School (학교의 피난 안전성 확보를 위한 층별 학급 배치방안)

  • Lee, Soon Beom;Lee, Jai Young;Kong, Ha-Sung
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.3
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    • pp.509-515
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    • 2021
  • This study analyzes the efficient floor layout plan of classrooms for securing evacuation stability in school in case of fire by using the Pathfinder simulation program. Efficient evacuation methods and safety were evaluated by analyzing REST (Required Safe Egress Time) according to the allocation of personnel by floor targeting a high school 5-story building equipped with a ramp and stairs. The current status of personnel assignments exceeded the Required Safe Egress Time(RSET), resulting in a problem with evacuation safety. When students were placed on the 3rd, 4th, and 5th floors, the result was that the time exceeded RSET the most. When students were placed on the 1st, 2nd, and 3rd floors, the result was that they completed evacuation in the shortest time, less than RSET. In the current state, when evacuation was guided by designating an evacuation exit depending on the location, the result of shortening RSET was obtained. As a result, it is effective to put the students on the lower floors when placing students in high-rise school buildings in terms of evacuation safety, and in the preliminary training, it is required to designate evacuation exits so that they can use the nearest exit for each location in case of a fire. As a future research project, additional research is needed on the RSET when a fire occurs in a specific location according to whether the automatic fire door at that location is opened or closed.

Collaborative Disaster Governance Recognized by Nurses during a Pandemic (코로나19 대응 간호사가 인식하는 협력적 재난 거버넌스)

  • Rim, Dahae;Shin, Hyunsook;Jeon, Hyejin;Kim, Jieun;Chun, Hyojin;Oh, Hee;Shon, Soonyoung;Shim, Kaka;Kim, Kyung Mi
    • Journal of Korean Academy of Nursing
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    • v.51 no.6
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    • pp.703-719
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    • 2021
  • Purpose: We aimed to identify collaborative disaster governance through the demand and supply analysis of resources recognized by nurses during the COVID-19 pandemic. Methods: We used a descriptive study design with an online survey technique for data collection. The survey questions were developed based on focus group interviews with nurses responding to COVID-19 and expert validity testing. A 42-question online survey focusing on disaster governance was sent to nurses working in COVID-19 designated hospitals, public health offices, and schools. A total of 630 nurses participated in the survey. Demand and supply analysis was used to identify the specific components of disaster governance during a pandemic situation and analyze priority areas in disaster governance, as reported by nurses. Results: Demand and supply analysis showed that supplies procurement, cooperation, education, and environment factors clustered in the high demand and supply quadrant while labor condition, advocacy, emotional support, and workload adjustment factors clustered in the high demand but low supply quadrant, indicating a strong need in those areas of disaster governance among nurses. The nurses practicing at the public health offices and schools showed major components of disaster governance plotted in the second quadrant, indicating weak collaborative disaster governance. Conclusion: These findings show that there is an unbalanced distribution among nurses, resulting in major challenges in collaborative disaster governance during COVID-19. In the future and current pandemic, collaborative disaster governance, through improved distribution, will be useful for helping nurses to access more required resources and achieve effective pandemic response.

Civic Participation in Smart City : A Role and Direction (스마트도시 구현을 위한 시민참여의 역할과 방향에 관한 연구)

  • Nam, Woo-Min;Park, Keon Chul
    • Journal of Internet Computing and Services
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    • v.23 no.6
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    • pp.79-86
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    • 2022
  • This study aims to analyze the research trends on the civic participation in a smart city and to present implications to policy makers, industry professionals and researchers. As rapid urbanization is defining development trend of modern city, urban problems such as transportation, environment, and energy are spreading and intensifying around the city. Countries around the world are introducing smart cities to solve these urban problems and to achieve sustainable development. Recently, many countries are modifying urban planning from top-down to down-up by actively engaging citizens to participate in the urban construction process directly and indirectly. Although the construction of smart cities is being promoted in Korea to solve urban problems, awareness of smart cities and civic participation are low. In order to overcome this situation, discussions on ideas and methods that can increase civic participation in smart cities are continuously being conducted. Therefore, in this study, by collecting publication containing both 'Smart Cities' and 'Participation (Engagement)' in Scopus DB, the topics of related studies were categorized and research trends were analyzed using topic modeling. Through this study, it is expected that it can be used as evidence to understand the direction of civic participation research in smart cities and to present the direction of related research in the future.

Development of Graph based Deep Learning methods for Enhancing the Semantic Integrity of Spaces in BIM Models (BIM 모델 내 공간의 시멘틱 무결성 검증을 위한 그래프 기반 딥러닝 모델 구축에 관한 연구)

  • Lee, Wonbok;Kim, Sihyun;Yu, Youngsu;Koo, Bonsang
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.3
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    • pp.45-55
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    • 2022
  • BIM models allow building spaces to be instantiated and recognized as unique objects independently of model elements. These instantiated spaces provide the required semantics that can be leveraged for building code checking, energy analysis, and evacuation route analysis. However, theses spaces or rooms need to be designated manually, which in practice, lead to errors and omissions. Thus, most BIM models today does not guarantee the semantic integrity of space designations, limiting their potential applicability. Recent studies have explored ways to automate space allocation in BIM models using artificial intelligence algorithms, but they are limited in their scope and relatively low classification accuracy. This study explored the use of Graph Convolutional Networks, an algorithm exclusively tailored for graph data structures. The goal was to utilize not only geometry information but also the semantic relational data between spaces and elements in the BIM model. Results of the study confirmed that the accuracy was improved by about 8% compared to algorithms that only used geometric distinctions of the individual spaces.

A Study on the Introduction of Standard Field Practice Based on the Awareness Survey of Field Training Institution (실습기관 인식조사 기반 표준현장실습의 도입논의 연구)

  • Noh, Younghee
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.3
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    • pp.153-179
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    • 2022
  • The purpose of this study, was to examine and understand the possibility of introducing a standard field training semester system and the possibility of operating an autonomous field training semester system that can be operated without payment and propose a response strategy based on their perception survey conducted with the field training institutions. As a result of the study, first, it is apparent that the practice institution shows a very low perception of operating hours and operating methods, including the allocation of job-related training hours. Second, the introduction status of standard field practice turned out to be very low, while the introduction status of standard field practice, operation and agreement, change of standard field practice, specific details of standard field practice contract, and satisfaction of standard field practice turned out to be very low. Based on which, this study considers the introduction of standard field practice based on the reference research including surveys, such as the amendments of the relevan laws, adoption of standard field practice semesters or autonomous field practice semesters, securing and sharing sufficient field practice manuals, among others.

A Pattern Analysis on the Possibility of Near Miss Connection in Construction Sites (건설현장의 아차사고 연결가능성에 대한 패턴분석)

  • Sang Hyun Kim;Yeon Cheol Shin;Yu Mi Moon
    • Journal of the Society of Disaster Information
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    • v.19 no.1
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    • pp.216-230
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    • 2023
  • Purpose: The purpose is to prevent accidents by predicting disasters through the analysis of near-miss. Method: In this study, a near-miss literature review and data were collected at construction sites, and a questionnaire survey was conducted to use logistic regression analysis and decision tree analysis to classify the possibility of near-miss connection. Result: As a result of analyzing the effects of near-miss types on mental, physical, and safety habits and behaviors, the factor with a high influence on the body is the need for near-miss management, the type of job is electricity·information communication, and health status in order, and the mental factor is the construction scale The influence was high, and the factors with the highest influence on the habit behavior factors were analyzed in the order of experience, number of serious injuries, and occupation in order of illusion, inappropriate work instructions, and body parts. Through decision tree analysis, factors and patterns that affect the possibility of a near-miss being a surprise accident were identified. Conclusion: Construction site officials consider the observation of near-miss and mentally and physically. Specific management of the relevance of physical aspects to near-miss should be implemented, and a work environment in which serious accidents are reduced is expected through personnel allocation, work plans, work procedures and methods, and feedback so that inappropriate work instructions do not lead to near-miss.

A Preliminary Survey Study on Standardization of the Core Seven Emotions Inventory-Short Form (CSEI-s) (핵심칠정척도 단축형의 표준화를 위한 예비적 설문 연구)

  • Jeesu Kim;Moon Joo Cheong;Do-Eun Lee;Yeoung Su Lyu;In-Chul Jung;Jeauk Kim;Hyung Won Kang
    • Journal of Oriental Neuropsychiatry
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    • v.34 no.3
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    • pp.125-139
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    • 2023
  • Objectives: This was a preliminary study to re-verify the reliability and validity of the Core Seven Emotions Inventory-Short Form (CSEI-s) and to establish standards for an objective scoring system such as T-scores and percentile for the normative group. Methods: Subjects were sampled through population-proportional regional allocation based on adults aged 20 or older and 65 or younger who voluntarily consented. Reliability was analyzed by performing an internal consistency (Cronbach's α) test and calculating means and standard deviations for each scale. The validity was analyzed between the CSEI-s and STAXI-K, SADS, COMOSWB, HADS, K-PANAS, Core emotions VAS. Results: The CSEI-s revealed notable gender discrepancies in aspects such as thought (思), fear (恐), and fright (驚), with women generally scoring higher than men. CSEI-s scores showed statistically significant differences in joy (喜) and thought (思) between those in their 20s and those in their 50s and 60s. As a result of the validity analysis, the seven-factor configuration was found to be statistically valid, and as a result of the correlation analysis with the coexistence scale, the correlation between each emotion and the seven emotions was found to be statistically significant. Cronbach's α for the CSEI-s was .891, showing statistically significant reliability. Conclusions: A preliminary study was conducted to standardize the shortened form of the Core Emotion Scale, and the reliability and validity were confirmed. A main survey of more people should be conducted in the future. Future results can contribute to revitalizing the development of oriental medicine evaluation tools and establishing an evidence base by standardizing the CSEI-s.

Yin-Yang and Five-Element Characteristics of Day Master on Four Time Pillars of Birth in Korean Population with Schizophrenia: A Consilience-Based Holistic Approach (조현병 환자군과 일반 인구군간 출생일간(出生日干)의 음양오행적 특성 비교: 통섭(統攝)적 측면에서의 접근)

  • Tae-Young Hwang;Ji-Eun Lee;Geum-Dan Yi;Yeoung-Su Lyu
    • Journal of Oriental Neuropsychiatry
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    • v.34 no.2
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    • pp.71-82
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    • 2023
  • Objectives: The existing reductionist approach has not reached complete understanding of the cause of schizophrenia. The objective of this study was to investigate yin-yang and five-element characteristics reflected on four time pillars of birth of patients with schizophrenia through comparison with the general population in the perspective of consilience-based holistic approach. Methods: This study was conducted using a random sequential recruitment method for the general population and individuals with schizophrenia aged 18 to 64 based on the exact date and time of birth using structured questionnaires. Relative positional relations of yin-yang and five-element with day master were primarily examined. In addition, the strength of day master with a score range of 0~100 points was assessed through operational score allocation. Results: Of 591 participants, 576 (346: general population, 230: individuals with schizophrenia) were analyzed. Between-group analyses showed no significant difference in the distribution of types of day master (χ2=10.41, df=9, p=0.318). However, significant between-group differences were shown in the distribution of the strength of day master (t=2.14, p=0.032) and frequency of restraining month branch (χ2=5.23, df=1, p=0.022). In logistic regression analysis, 10-point increase on the strength of day master decreased the probability of onset of schizophrenia over the age of 30 by 29.6% (p=0.002; 95% confidence interval, 0.566~0.876). Conclusions: Findings in this study suggest that four time pillars of birth might be associated with schizophrenia through yin-yang and five-element theory and synchronicity principle, implicating the plausibility of consilience-based holistic approach in the determination of risk factors or cause of schizophrenia.

A Study on Changes in Seafarers Functions and Manpower Training by the Introduction of Maritime Autonomous Surface Ships (자율운항선박 도입에 따른 선원직능 변화와 인력양성에 관한 연구)

  • Sung-Ju Lim;Yong-John Shin
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2021.11a
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    • pp.78-80
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    • 2021
  • This study is based on Degree of Recognition and AHP surveys for experts, this study investigates changes in the demand of seafarers in response to changes in the shipping industry environment in which Maritime Autonomous Surface Ships(MASS) emerge according to the application of the fourth industrial revolution technology to ships, and it looks into changes in seafarers' skills. It also analyzes and proposes a plan for cultivating seafarers accordingly. As a result of Degree of Recognition and AHP analysis, it is analyzed that a new training system is required because the current training and education system may cover the job competencies of emergency response, caution and danger navigation, general sailing, cargo handling, seaworthiness maintenance, emergency response, and ship maintenance and management, but jobs such as remote control, monitoring diagnosis, device management capability, and big data analysis require competency for unmanned and shore based control.By evaluating the importance of change factors in the duties of seafarers in Maritime Autonomous Surface Ships, this study provides information on seafarers educational institutions response strategies for nurturing seafarers and prioritization of resource allocation, etc. The importance of factors was compared and evaluated to suggest changes in the duties of seafarers and methods of nurturing seafarers according to the introduction of Maritime Autonomous Surface Ships.It is expected that this study is meaningful as it systematically derived the duties and competency factors of seafarers of Maritime Autonomous Surface Ships from a practical point of view and analyzed the perception level of each relevant expert to diagnose expert-level responses to the introduction of Maritime Autonomous Surface Ships.

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