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Research Trends and Problems on Cultivation Practice of Daesoonjinrihoe (대순진리회 수행 연구의 경향과 과제)

  • Cha, Seon-keun
    • Journal of the Daesoon Academy of Sciences
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    • v.24_1
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    • pp.315-349
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    • 2014
  • This paper was carried out to bring the researches on Cultivation Practice of Daesoonjinrihoe which have been at a standstill after analyzing the directions of studies on Cultivation Practice and diagnosing its problems, in addition to that, the paper was also conducted in a way of discussing the research directions in the future. This work enables scholars who have interests in Daesoon Thoughts to easily comprehend over the length and breadth of Cultivation Practice of Daesoonjinrihoe as well as help them understand what level of researches regarding Cultivation Practice has been demanded. Furthermore, this paper will be a step-stone for scholars to ponder how and on what perspective they approach a wide variety of studies on Daesoon Thoughts. The problems reflected on the previous researches on Cultivation Practice are summarized as follows: first, except a few researches in general, problem recognition, research target, style, method, and content are not diverged from the frame defined by Jang Byeong-Gil, who set it up in Daesoon Religion and Thought (Daesoon Jonggyo Sasang) in 1989. Proliferating overlapped researches without developing problem awareness is of great concern. And such researching climate has gradually set in. Secondly, there are numerous researches intending to reveal the researcher's forceful attitude implying faith. Thirdly, most of the previous researches neglect to focus on defining the range of researches. Fourthly, when defining concepts, more thorough insight is needed. Lastly, the researches on analysing symbols and attempting signification analysis are relatively few, only to find many errors. To solve these problems, this paper suggests to develop theories which back up Cultivation Practice by researching on the fields of theory of mind-nature(心性), theory of mind-qi(心氣), theory of pain, Religious Ethics, viewpoint of God/gods, and psychology. Secondly, all the symbols and meanings of elements shown in Cultivation Practice need analyzing more elaborately sophisticatedly and more in-depth. In order to fulfil this goal, by adapting the recent trends of historical studies, it is essential to attempt to engraft Cultivation Practice of Daesoonjinrihoe on cultural phenomena, to analyze thick layers of meanings beneath its surface, to interpret differently, utilizing various perspectives such as focusing on the gender problems, and to extract true meanings out of Cultivation Practice by analyzing everyday events which can occur in real cultivation practices. Thirdly, the terms and concepts regarding Cultivation Practice base the principle themselves. Fourthly, by utilizing methodology of comparative studies on religions, the comparative researches on cultivation practice of different religious traditions are also needed. Lastly, the history of aspects on Cultivation Practice such as transition of mantras, processes which have been conducted through proprieties of prayer and training should be collected and classified. In this context, this work is very important since it helps understand the aspects of transition of originality and characteristics in Cultivation Practice of Daesoonjinrihoe according to passage of time.

Effect of Molecular Weight Distribution of Intrinsically Microporous Polymer (PIM-1) Membrane on the CO2 Separation Performance (마이크로기공 고분자(PIM-1)의 분자량 분포에 따른 이산화탄소 기체 분리막의 성능 변화 연구)

  • Ji Min Kwon;Hye Jeong Son;Jin Uk Kim;Chang Soo Lee
    • Membrane Journal
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    • v.33 no.6
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    • pp.362-368
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    • 2023
  • This research article explores the application of Polymer of Intrinsic Microporosity (PIM-1) as a cutting-edge material for CO2 gas separation membranes in response to the escalating global concern over climate change and the imperative to reduce greenhouse gas emissions. The study delves into the synthesis, molecular weight control, and fabrication of PIM-1 membranes, providing comprehensive insights through various characterization techniques. The intrinsic microporosity of PIM-1, arising from its unique crosslinked and rigid structure, is harnessed for selective gas permeation, particularly of carbon dioxide. The article emphasizes the tunable chemical properties of PIM-1, allowing for customization and optimization of gas separation membranes. By controlling the molecular weight, higher molecular weight (H-PIM-1) membranes are demonstrated to exhibit superior CO2 permeability and selectivity compared to lower molecular weight counterparts (L-PIM-1). The study's findings highlight the critical role of molecular weight in tailoring PIM-1 membrane properties, contributing to the advancement of next-generation membrane technologies for efficient and selective CO2 capture-an essential step in addressing the pressing global challenge of climate change.

Assessment of Landslide Susceptibility in Jecheon Using Deep Learning Based on Exploratory Data Analysis (데이터 탐색을 활용한 딥러닝 기반 제천 지역 산사태 취약성 분석)

  • Sang-A Ahn;Jung-Hyun Lee;Hyuck-Jin Park
    • The Journal of Engineering Geology
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    • v.33 no.4
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    • pp.673-687
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    • 2023
  • Exploratory data analysis is the process of observing and understanding data collected from various sources to identify their distributions and correlations through their structures and characterization. This process can be used to identify correlations among conditioning factors and select the most effective factors for analysis. This can help the assessment of landslide susceptibility, because landslides are usually triggered by multiple factors, and the impacts of these factors vary by region. This study compared two stages of exploratory data analysis to examine the impact of the data exploration procedure on the landslide prediction model's performance with respect to factor selection. Deep-learning-based landslide susceptibility analysis used either a combinations of selected factors or all 23 factors. During the data exploration phase, we used a Pearson correlation coefficient heat map and a histogram of random forest feature importance. We then assessed the accuracy of our deep-learning-based analysis of landslide susceptibility using a confusion matrix. Finally, a landslide susceptibility map was generated using the landslide susceptibility index derived from the proposed analysis. The analysis revealed that using all 23 factors resulted in low accuracy (55.90%), but using the 13 factors selected in one step of exploration improved the accuracy to 81.25%. This was further improved to 92.80% using only the nine conditioning factors selected during both steps of the data exploration. Therefore, exploratory data analysis selected the conditioning factors most suitable for landslide susceptibility analysis and thereby improving the performance of the analysis.

Energy Balancing Distribution Cluster With Hierarchical Routing In Sensor Networks (계층적 라우팅 경로를 제공하는 에너지 균등분포 클러스터 센서 네트워크)

  • Mary Wu
    • Journal of the Institute of Convergence Signal Processing
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    • v.24 no.3
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    • pp.166-171
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    • 2023
  • Efficient energy management is a very important factor in sensor networks with limited resources, and cluster techniques have been studied a lot in this respect. However, a problem may occur in which energy use of the cluster header is concentrated, and when the cluster header is not evenly distributed over the entire area but concentrated in a specific area, the transmission distance of the cluster members may be large or very uneven. The transmission distance can be directly related to the problem of energy consumption. Since the energy of a specific node is quickly exhausted, the lifetime of the sensor network is shortened, and the efficiency of the entire sensor network is reduced. Thus, balanced energy consumption of sensor nodes is a very important research task. In this study, factors for balanced energy consumption by cluster headers and sensor nodes are analyzed, and a balancing distribution clustering method in which cluster headers are balanced distributed throughout the sensor network is proposed. The proposed cluster method uses multi-hop routing to reduce energy consumption of sensor nodes due to long-distance transmission. Existing multi-hop cluster studies sets up a multi-hop cluster path through a two-step process of cluster setup and routing path setup, whereas the proposed method establishes a hierarchical cluster routing path in the process of selecting cluster headers to minimize the overhead of control messages.

Classification Activity Thoughts of Elementary Sixth Grade Pupils about Artificial and Natural Stimulus (초등학교 6학년의 인공자극과 자연자극에 대한 분류 사고)

  • Choi, Hyun-Dong;Yang, Il-Ho;Kwon, Chi-Soon
    • Journal of The Korean Association For Science Education
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    • v.26 no.1
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    • pp.40-48
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    • 2006
  • The purpose of this study was to investigate 6th grade pupil's thoughts during classification activities. Two suitable tools in classification activity achievement were developed to achieve this purpose. The first was an artificial stimulus card in which the attribute was prominent; and the other a natural stimulus card in which the attribute was less prominent. Participants of the study were 8 6th grade pupils from D elementary school in Yeongdeungpo-gu, Seoul. Data were collected from interviews with the pupils, the pupil's recordings of classification, the investigator's observation of pupil's actions, and video recordings of the pupil's subject classification process. Results found in this study were as following. First, when doing classification 6th grade pupils considered attribute observation, attribute estimation, preliminary inspection, criteria selection, and sample identification. Second, 6th grade pupil classification thought process was found to be repetitive, passing through the steps of attribute observation, attribute estimation, preliminary inspection, criteria selection, and lastly, sample identification. Third, 6th grade pupils took advantage of cognitive economic efficiency. Study findings also revealed guidance for the teaching and learning of scientific classification. First, once teachers understand the classification thought process of students, more effective classification guidance will be possible. Second, it is necessary that guidance fit each step of the classification thought process.

Teaching Orientations and Classroom Practices of Science Teachers Participating in Workshops for Constructivistic Science Teaching (구성주의적 수업을 위한 워크숍에 참여한 중등 과학 교사의 교수 지향과 수업 실행)

  • Jeong, Deuk-Sil;Lee, Sun-Kyung;Oh, Phil-Seok;Maeng, Seung-Ho;Chung, Ae-Ran;Kim, Chan-Jong
    • Journal of The Korean Association For Science Education
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    • v.27 no.5
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    • pp.432-446
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    • 2007
  • The purpose of the study is to explore the science teaching orientations of secondary science teachers, and how they influence the planning and execution of reform-based lessons. Professional development workshop for constructivist teaching consisted of three different phases; five lectures, small group discussion, and preparing lesson plans. Four teachers who participated also executed their lesson plans in their own classroom. All workshops were videotape recorded. Classroom observations and interviews were conducted and recorded. Instructional materials were also collected for each science class. All data recorded were transcribed and analyzed. Based on the data collected from multiple sources, we identified each teacher's teaching orientations, and through this lens, we also tried to understand their classroom practices. We expected teacher-participants to implement constructivist science teaching. However, the differences among teachers in the course of actual planning and implementing activities for constructivist science was wider than we expected and even some teachers were unsuccessful. Teaching orientations can act as a filter for teachers when they decide whether to accept and apply new knowledge about teaching and learning to actual lessons or not. Even if a teacher plans a guided-inquiry lesson, her/his didactic teaching orientation could be revealed in actual classroom, and lead her/his class to other direction which is quite different from her/his original intention. Although the teachers participated in the same workshops in our study, they planned and executed differently and their own teaching orientations contribute substantially to their practice. Understanding the role of science teaching orientations could be an important step in addressing issues of diverse difficulties in supporting reform efforts in science.

Automated Finite Element Analyses for Structural Integrated Systems (통합 구조 시스템의 유한요소해석 자동화)

  • Chongyul Yoon
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.37 no.1
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    • pp.49-56
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    • 2024
  • An automated dynamic structural analysis module stands as a crucial element within a structural integrated mitigation system. This module must deliver prompt real-time responses to enable timely actions, such as evacuation or warnings, in response to the severity posed by the structural system. The finite element method, a widely adopted approximate structural analysis approach globally, owes its popularity in part to its user-friendly nature. However, the computational efficiency and accuracy of results depend on the user-provided finite element mesh, with the number of elements and their quality playing pivotal roles. This paper introduces a computationally efficient adaptive mesh generation scheme that optimally combines the h-method of node movement and the r-method of element division for mesh refinement. Adaptive mesh generation schemes automatically create finite element meshes, and in this case, representative strain values for a given mesh are employed for error estimates. When applied to dynamic problems analyzed in the time domain, meshes need to be modified at each time step, considering a few hundred or thousand steps. The algorithm's specifics are demonstrated through a standard cantilever beam example subjected to a concentrated load at the free end. Additionally, a portal frame example showcases the generation of various robust meshes. These examples illustrate the adaptive algorithm's capability to produce robust meshes, ensuring reasonable accuracy and efficient computing time. Moreover, the study highlights the potential for the scheme's effective application in complex structural dynamic problems, such as those subjected to seismic or erratic wind loads. It also emphasizes its suitability for general nonlinear analysis problems, establishing the versatility and reliability of the proposed adaptive mesh generation scheme.

Assessing the Impact of 'Marine Invasive and Harmful Species': A Semi-Quantitative Tool and Protocol for Environmental and Socio-Economic Evaluation ('해양교란유해종'의 영향 평가: 환경 및 사회경제적 평가를 위한 준정량 도구 및 프로토콜)

  • KWANG YOUNG KIM
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.29 no.2
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    • pp.116-138
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    • 2024
  • This study presents a new tool and protocol to assess the impact of 'Marine Invasive and Harmful Species' (MIHS) on marine environments and socio-economic aspects. It addresses shortcomings in the Marine Ecosystems Conservation and Management Act in South Korea by proposing an impact assessment framework divided into marine environmental and socio-economic groups. Six distinct evaluation categories are included in each group, and a semi-quantitative five-step scale is utilized to provide a flexible approach, addressing a variety of issues from ecological disturbances to effects on health and property. The assessment tool is applied through a systematic five-stage process based on the Delphi method. This approach posters collaboration among a diverse sets of experts and stakeholders, enabling a comprehensive evaluation that incorporates various perspectives. The study also examines strategies to effectively manage uncertainties and improve the consistency of the outcomes. The application of this assessment protocol is expected to be crucial in quantifying the ecological damage caused by MIHS and in identifying management and prevention priorities. The ultimate aim of this evaluation process is to aid decision-makers in developing strategies to preserve the marine ecosystem and mitigate socio-economic impacts.

Local Creators and Local Entrepreneurship in Perspective of Creation Process of Local Contents with Focus on H University (로컬콘텐츠 탄생과정 측면에서 살펴본 로컬크리에이터와 로컬기업가정신: H대학 사례)

  • Junghee Han
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.19 no.2
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    • pp.13-25
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    • 2024
  • Local decline can be caused by business closures or the departure of the youth. Most countries have been striving to overcome regional inequality through local or community entrepreneurship using assets or contents obtained from differentiated and original embedded resources. The purpose of this study is to conceptualize local contents and local entrepreneurship. To reach the research goals, this paper utilizes the grounded theory as qualitative methodology. From the main findings, this paper suggests that entrepreneurship in the local is influenced by informal alley or specific location (regions) institution outputs so called as local contents which are local norm, culture, local identities. This paper conceptualizes local contents as 'product of creative scenario'. And this work also suggests the liner model for local content innovation. The contribution of this work are two: 1) showing how the local content creation process; 2) analyzing the how local entrepreneurship configures. It can be inclusive potential startups items rooted at the unique resources and assets of the locals and reflecting the originality of locality. In terms of local institutional perspectives, local development takes pace when advancing application of local entrepreneurship. In order for that, practical challenging is more needed by using informal local institutions. Also 'three step linear model' will be applied to educate the new creators. Local contents and local entrepreneurship can definitely rehabilitate locality.

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Deep Learning-based UWB Distance Measurement for Wireless Power Transfer of Autonomous Vehicles in Indoor Environment (실내환경에서의 자율주행차 무선 전력 전송을 위한 딥러닝 기반 UWB 거리 측정)

  • Hye-Jung Kim;Yong-ju Park;Seung-Jae Han
    • KIPS Transactions on Computer and Communication Systems
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    • v.13 no.1
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    • pp.21-30
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    • 2024
  • As the self-driving car market continues to grow, the need for charging infrastructure is growing. However, in the case of a wireless charging system, stability issues are being raised because it requires a large amount of power compared with conventional wired charging. SAE J2954 is a standard for building autonomous vehicle wireless charging infrastructure, and the standard defines a communication method between a vehicle and a power transmission system. SAE J2954 recommends using physical media such as Wi-Fi, Bluetooth, and UWB as a wireless charging communication method for autonomous vehicles to enable communication between the vehicle and the charging pad. In particular, UWB is a suitable solution for indoor and outdoor charging environments because it exhibits robust communication capabilities in indoor environments and is not sensitive to interference. In this standard, the process for building a wireless power transmission system is divided into several stages from the start to the completion of charging. In this study, UWB technology is used as a means of fine alignment, a process in the wireless power transmission system. To determine the applicability to an actual autonomous vehicle wireless power transmission system, experiments were conducted based on distance, and the distance information was collected from UWB. To improve the accuracy of the distance data obtained from UWB, we propose a Single Model and Multi Model that apply machine learning and deep learning techniques to the collected data through a three-step preprocessing process.