• Title/Summary/Keyword: 구성 수준

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Optimum Design of Dynamic Vibration Absorber for Reducing Bending Vibrations of Two-Piece Vehicle Drive Line (2축 분할식 차량 구동라인의 굽힘진동 저감을 위한 동흡진기 최적설계)

  • Lee, Sang-Beom;Yoo, Young-Sun
    • The Journal of the Acoustical Society of Korea
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    • v.29 no.2
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    • pp.118-124
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    • 2010
  • In this paper, design parameters of dynamic vibration absorber, which is used to reduce bending vibrations of a vehicle drive line, is optimized. For obtaining the correct dynamic response characteristics, a flexible-body drive line is made by applying the flexibility data extracted from vibration analysis of propeller shafts to the drive line dynamic model. Inner tube mass, rubber stiffness and rubber damping coefficient of the dynamic vibration absorber are taken as design parameters for optimization. To minimize the vertical acceleration of the drive line, a second-order regression equation of the objective function is generated by performing the central composite experimental design with 3 factors, 2 levels and 15 test runs. And the design parameters of the dynamic vibration absorber are determined by using optimization program. The vehicle model with optimized dynamic vibration absorber reduces the vertical acceleration peak of the drive line by 17.1 % in compared with the initial model.

Improving Accuracy of Chapter-level Lecture Video Recommendation System using Keyword Cluster-based Graph Neural Networks

  • Purevsuren Chimeddorj;Doohyun Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.7
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    • pp.89-98
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    • 2024
  • In this paper, we propose a system for recommending lecture videos at the chapter level, addressing the balance between accuracy and processing speed in chapter-level video recommendations. Specifically, it has been observed that enhancing recommendation accuracy reduces processing speed, while increasing processing speed decreases accuracy. To mitigate this trade-off, a hybrid approach is proposed, utilizing techniques such as TF-IDF, k-means++ clustering, and Graph Neural Networks (GNN). The approach involves pre-constructing clusters based on chapter similarity to reduce computational load during recommendations, thereby improving processing speed, and applying GNN to the graph of clusters as nodes to enhance recommendation accuracy. Experimental results indicate that the use of GNN resulted in an approximate 19.7% increase in recommendation accuracy, as measured by the Mean Reciprocal Rank (MRR) metric, and an approximate 27.7% increase in precision defined by similarities. These findings are expected to contribute to the development of a learning system that recommends more suitable video chapters in response to learners' queries.

BIM-based visualization technology for blasting in Underground Space (지하공간 BIM 기반 발파진동 영향 시각화 기술)

  • Myoung Bae Seo;Soo Mi Choi;Seong Jong Oh;Seong Uk Kim;Jeong Hoon Shin
    • Smart Media Journal
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    • v.12 no.11
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    • pp.67-76
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    • 2023
  • We propose a visualization method to respond to civil complaints through an analysis of the impact of blasting. In order to analyze the impact of blasting on tunnel excavation, we propose a simulation visualization method considering the mutual influence of the construction infrastructure by linking measurement data and 3D BIM model. First, the level of BIM modeling required for simulation was defined. In addition, vibration measurement data were collected for the GTX-A construction site, terrain and structure BIM were created, and a method for visualizing measurement data using blast vibration estimation was developed. Next, a spherical blasting influence source library was developed for visualization of the blasting influence source, and a specification table that could be linked with Revit Dynamo automation logic was constructed. Using this result, a method for easily visualizing the impact analysis of blasting vibration in 3D was proposed.

A Method of Deriving UAS Flight Recording System Parameters for Aviation Accident and Incident Investigation (항공사고 및 준사고 조사를 위한 UAS 비행 기록 시스템 파라미터 도출 방안)

  • Keon-hee Lee;Joong-yoon Lee
    • Journal of Advanced Navigation Technology
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    • v.28 no.1
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    • pp.77-86
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    • 2024
  • 'UAS flight recording system' is a system that is mounted on an unmanned aircraft system consisting of various components and records flight-related data. The data recorded by this system should be used for aviation accident and incident investigations to prevent similar accidents. In particular, for the category of UAS with high operating risk, safety devices close to that of manned aircraft are required, and it is urgent to develop flight recording systems reflecting the characteristics of the UAS to secure airworthiness. This paper highlights the need for UAS flight recording systems for aviation accident and incident investigations and seek a method to derive flight recording system parameters for 'Certified Category' with high operational risk. To this end, Inter-City UAM was used as a concrete use case, and the process of approaching system parameters was devised by assuming accident occurrences and hazards from mission profiles and scenarios. As a result of the study, it was confirmed that parameters could be derived through this process.

Factors of Information Overload and Their Associations with News Consumption Patterns: The Roles of Tipping Point (정보과잉 요인과 뉴스 소비 패턴의 관계: 티핑 포인트의 역할을 중심으로)

  • Sun Kyong, Lee;William Howe;Kyun Soo Kim
    • Information Systems Review
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    • v.25 no.3
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    • pp.1-26
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    • 2023
  • A theoretical model of information overload (Jackson and Farzaneh, 2012) with its three influential components (i.e., time, technology, and social networks) was empirically tested in the context of news consumption behavior considered as a communicative outcome. Using a national sample of South Korean adults (N = 1166), data analyses identified perceived information overload and large/diverse social networks positively associated with active and passive news consumption. Findings may imply the existence of individually varying cognitive threshold (i.e., tipping point), if crossed individuals cannot process information any further. News consumers may keep searching and receiving information to verify factuality of news even when they feel overloaded.

A Study on the Determinants of Migration Types of the Youth in Non-metropolitan Areas by using a Hierarchical Logit Model (위계로짓모형을 활용한 비수도권 청년층의 이주유형별 결정요인 비교분석)

  • Hansoun Woo
    • Journal of the Economic Geographical Society of Korea
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    • v.26 no.4
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    • pp.421-442
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    • 2023
  • This research focuses on the fact that the characteristics of migration types of the youth in non-metropolitan areas vary by region and has the primary objective of comparing and analyzing the differences in determinants of each migration type. First, An exploratory analysis of the migration status and characteristics of the youth in non-metropolitan areas was conducted, and then a hierarchical logit model was used to estimate the determinants of migration types separately. The results showed that the characteristics of migration types vary by region, and each determinant of migration types is composed of different bundles of variables(individual and regional levels). In the future, policies aimed at securing young workforce in non-metropolitan areas will be more effective when they take into account various determinants of migration choices and reflect the regional context.

Strength and Hydration Properties of Cement Paste as a Function of Reactive Nanomaterials Replacement Rate (반응성 나노소재 대체율에 따른 시멘트 페이스트의 강도 및 수화특성)

  • Chul-Woo Beak;Sung-Woo Choi;Deuk-Hyun Ryu
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.12 no.1
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    • pp.33-39
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    • 2024
  • In this study, the basic properties of cement paste with varying replacement ratio of micro-silica and fumed silica were analyzed to determine the suitability of nanomaterials for use as concrete admixtures. Referring to the ultra-high strength mix, the fluidity of cement paste was evaluated according to the nanomaterial replacement rate and the compressive strength characteristics were compared and analyzed. The related properties of the reactive nanomaterials to the cement hydrate were analyzed using SEM and EDS to observe the microstructure and identify the components of the hydration product. The reactive nanomaterials used in this study had tap densities between 0.061 and 0.264 g/cm3, which were lower than SF. Micro silica exhibited excellent compressive strength properties with increasing replacement ratio, but fumed silica, unlike micro white, obtained excellent compressive strength at replacement ratio of 0.01~0.1 %. The same trend was observed in the hydration characterization.

Management Competency Model of Vocational Training Institutes and Needs Assessment (직업훈련기관장 경영 역량모델 수립 및 요구도분석)

  • Cheol-Ki Lee;Dong-Tae Kim;Kiyong Om;Jae-Eun Shin;Sujin Lee
    • Journal of Practical Engineering Education
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    • v.16 no.3_spc
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    • pp.367-377
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    • 2024
  • The purpose of this study is to develop a competency model that enhances the management capabilities of vocational training institutions and to identify the priorities of educational needs. After reviewing prior studies to tentatively establish a competency model, a training needs assessment was conducted in the field using this model. Data for the analysis were collected through a survey conducted among vocational training institutions. Following the needs assessment, a new management competency model for vocational training institutions was formulated, comprising six competencies and 26 competency dimensions, by eliminating the dimensions considered relatively less important. The competency model developed through this study is anticipated to be utilized in creating management education programs for directors of domestic vocational training institutions.

Machine Learning Framework for Predicting Voids in the Mineral Aggregation in Asphalt Mixtures (아스팔트 혼합물의 골재 간극률 예측을 위한 기계학습 프레임워크)

  • Hyemin Park;Ilho Na;Hyunhwan Kim;Bongjun Ji
    • Journal of the Korean Geosynthetics Society
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    • v.23 no.1
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    • pp.17-25
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    • 2024
  • The Voids in the Mineral Aggregate (VMA) within asphalt mixtures play a crucial role in defining the mixture's structural integrity, durability, and resistance to environmental factors. Accurate prediction and optimization of VMA are essential for enhancing the performance and longevity of asphalt pavements, particularly in varying climatic and environmental conditions. This study introduces a novel machine learning framework leveraging ensemble machine learning model for predicting VMA in asphalt mixtures. By analyzing a comprehensive set of variables, including aggregate size distribution, binder content, and compaction levels, our framework offers a more precise prediction of VMA than traditional single-model approaches. The use of advanced machine learning techniques not only surpasses the accuracy of conventional empirical methods but also significantly reduces the reliance on extensive laboratory testing. Our findings highlight the effectiveness of a data-driven approach in the field of asphalt mixture design, showcasing a path toward more efficient and sustainable pavement engineering practices. This research contributes to the advancement of predictive modeling in construction materials, offering valuable insights for the design and optimization of asphalt mixtures with optimal void characteristics.

A Study on China's Sea Gray Zone Strategy and Korean Navy's Countermeasures: Focusing on the response to the development of the maritime-based Three Wars (중국의 해양 회색지대 전략과 우리해군 대응책 연구: 해양 기반 삼전(三戰) 전개에 대한 대응을 중심으로)

  • Kim, Nam-su
    • Maritime Security
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    • v.8 no.1
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    • pp.1-39
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    • 2024
  • This study started with the awareness that domestic studies on China's maritime gray zone strategy have been following the analysis results of previous studies, and that only principled positions and directions for countermeasures remain at the 'declarative and conceptual' level. In order to overcome the above problems, the author analyzed the maritime gray zone strategy being developed in the South China Sea, East China Sea, and the West Sea and Ieodo areas, recognizing that China is developing a maritime gray area strategy based on the 'three warfare' that constitutes its own strategic culture. As a result of the analysis, it is predicted that China's maritime gray zone strategy will be more aggressive in order to occupy the West Sea and Ieodo in the future. As a concept of our naval response strategy, The author proposed to 'neutralize' the development effect of 'three warfare', the basis of China's maritime gray zone strategy, to stop the gradual change in the phenomenon induced by China, and to continuously pursue 'return' to a maritime order based on norms and rules. In this study, a 'concrete and systemized' countermeasure to implement this was presented.

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