• 제목/요약/키워드: 과학기술 데이터

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Algorithm for Maximum Cycle Detection of Directed and Undirected General Graphs (방향과 무 방향 일반 그래프의 최대 사이클 검출 알고리즘)

  • Lee, Sang-Un
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.6
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    • pp.91-97
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    • 2022
  • There is hare and tortoise racing algorithm(HTA) for single-source(SS) singly linked list(SLL) with O(n) time complexity. But the fast method is unknown for general graph with multi-source, multi-destination, and multi-branch(MSMDMB). This paper suggests linear time cycle detection algorithm for given undirected and digraph with MSMDMB. The proposed method reduced the given graph G contained with unnecessary vertices(or nodes) to cycle into reduced graph G' with only necessary vertices(or nodes) to cycle based on the condition of cycle formation. For the reduced graph G', we can be find the cycle set C and cycle length λ using linear search within linear time. As a result of experiment data, the proposed algorithm can be obtained the cycle for whole data.

An exercise algorithm for mezzanine products using artificial neural networks (인공신경망을 이용한 메자닌 상품의 행사 알고리즘)

  • Jae Pil, Yu
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.1
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    • pp.47-56
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    • 2023
  • Mezzanine products are financial investment products with both bond and stock characteristics, which are mainly issued by low-grade companies in the financial market to secure liquidity. Therefore, bondholders investing in mezzanine products must make decisions about when they want to convert to stocks, along with whether they invest in mezzanine products issued by the company. Therefore, in this paper, a total of 2,000 learning data and 200 predictive experimental data with stock conversion events completed by major industries are divided, and mezzanine event algorithms are designed and performance analyzed through artificial neural network models. This topic is meaningful in that it proposed a methodology to scientifically solve the difficulties of exercising mezzanine products, which are of high interest in the financial field, by applying artificial neural network technology.

Experimental Study on Behaviors of Prestressed Concrete Beam Reinforced by Prestressed External Tendon (단면 보강용 외부 긴장 강선을 사용한 프리스트레스트 콘크리트 보의 거동에 관한 실험적 연구)

  • Park, Chan-Sol;Kim, Kee-Dong;Han, Taek-Hee;Latif, Abdul;Kim, Doo-Kie
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.26 no.6
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    • pp.222-229
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    • 2022
  • The extensive use of external prestressing system with PSC-I beam to strengthen reinforced and prestressed concrete members requires the full understanding of the behavior of the strengthened members. The main approach of this research was to experimentally investigate the flexural performance of the PSC-I beam considering external tendon and an equation was developed which indicated the produced incremental stress in the tendon due to applied load. Further, this equation was verified through performing static loading tests on two experimental specimens considering the presence or absence of external tendon. The test results revealed that, the flexural performance enhanced due to the use of external tendon. Moreover, the magnitude of the estimated flexural strength using proposed stress increasing equation almost coincides with the experimental test results. However, it was the evident of the improvement of the flexural performance of the system by reinforcing with the external tendon and also proved that the proposed equation was valid and effective.

A Study on Structural-Thermal-Optical Performance through Laser Heat Source Profile Modeling Using Beer-Lambert's Law and Thermal Deformation Analysis of the Mirror for Laser Weapon System (Beer-Lambert 법칙을 적용한 레이저 열원 프로파일 모델링 및 레이저무기용 반사경의 열변형 해석을 통한 구조-열-광학 성능 연구)

  • Hong Dae Gi
    • Journal of Aerospace System Engineering
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    • v.17 no.4
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    • pp.18-27
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    • 2023
  • In this paper, the structural-thermal-optical performance analysis of the mirror was performed by setting the laser heat source as the boundary condition of the thermal analysis. For the laser heat source model, the Beer-Lambert model considering semi-transparent optical material based on Gaussian beam was selected as the boundary condition, and the mechanical part was not considered, to analyze the performance of only the mirror. As a result of the thermal analysis, thermal stress and thermal deformation data due to temperature change on the surface of the mirror were obtained. The displacement data of the surface due to thermal deformation was fitted to a Zernike polynomial to calculate the optical performance, through which the performance of the mirror when a high-energy laser was incident on the mirror could be predicted.

Effect of dimensionless number and analysis of gait pattern by gender -spatiotemporal variables- (보행 분석시 Dimensionless number의 효과 및 성별간 보행패턴 분석 -시공간변인-)

  • Lee, Hyun-Seob
    • 한국체육학회지인문사회과학편
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    • v.53 no.5
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    • pp.521-531
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    • 2014
  • The purposes of this study were to evaluate the effect of normalization by dimensionless number of Hof(1996) and to analysis the gait pattern for 20s Korean males and females. Subjects are selected in accordance with classification system of Korean standard body figure and age. Experimental equipment is the Motion capture system. Subjects who are walked at a self-selected normal walking speed were photographed using the Motion capture system and analyzed using 3D motion analysis method with OrthoTrak, Cortex, Matlab and SPSS for a statistical test. When used to normalize data, there are no differences of statistical significances between gender in all spatiotemporal variables. I concluded that gait research for mutual comparison requires a normalization by dimensionless number to eliminate the effects of the body size and to accurate statistical analysis.

Scenario-based Future Infantry Brigade Information Distribution Capability Analysis (시나리오 기반의 미래 보병여단 정보유통능력 분석 연구)

  • Junseob Kim;Sangjun Park;Yiju You;Yongchul Kim
    • Convergence Security Journal
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    • v.23 no.1
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    • pp.139-145
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    • 2023
  • The ROK Army is promoting cutting-edge, future-oriented military development such as a mobile, intelligent, and hyper-connected Army TIGER system. The future infantry brigade plans to increase mobility with squad-level tactical vehicles to enable combat in multi-domain operations and to deploy various weapon systems such as surveillance and reconnaissance drones. In addition, it will be developed into an intelligent unit that transmits and receives data collected through the weapon system through a hyper-connected network. Accordingly, the future infantry brigade will transmit and receive more data. However, the Army's tactical information communication system has limitations in operating as a tactical communication system for future units, such as low transmission speed and bandwidth and restrictions on communication support. Therefore, in this paper, the information distribution capability of the future infantry brigade is presented through the offensive operation scenario and M&S.

Predicting Unseen Object Pose with an Adaptive Depth Estimator (적응형 깊이 추정기를 이용한 미지 물체의 자세 예측)

  • Sungho, Song;Incheol, Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.12
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    • pp.509-516
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    • 2022
  • Accurate pose prediction of objects in 3D space is an important visual recognition technique widely used in many applications such as scene understanding in both indoor and outdoor environments, robotic object manipulation, autonomous driving, and augmented reality. Most previous works for object pose estimation have the limitation that they require an exact 3D CAD model for each object. Unlike such previous works, this paper proposes a novel neural network model that can predict the poses of unknown objects based on only their RGB color images without the corresponding 3D CAD models. The proposed model can obtain depth maps required for unknown object pose prediction by using an adaptive depth estimator, AdaBins,. In this paper, we evaluate the usefulness and the performance of the proposed model through experiments using benchmark datasets.

Evaluation Model Based on Machine Learning for Optimal O2O Services Layout(Placement) in Exhibition-space (전시공간 내 최적의 O2O 서비스 배치를 위한 기계학습 기반평가 모델)

  • Lee, Joon-Yeop;Kim, Yong-Hyuk
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.3
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    • pp.291-300
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    • 2016
  • The emergence of smart devices and IoT leads to the appearance of O2O service to blur the difference between online and offline. As online services' merits were added to the offline market, it caused a change in the dynamics of the offline industry, which means the offline-space's digitization. Unlike these changing aspects of the offline market, exhibition industry grows steadily in the industry, however it is also possible to create a new value added by combining O2O service. We conducted a survey targeting 20 spectators in '2015 Seoul Design Festival' at COEX. The survey was used to analysis of the spatial structure and generate the dataset for machine learning. We identified problems with the analysis study of the existing spatial structure, and based on this investigation we propose a new method for analyzing a spatial structure. Also by processing a machine learning technique based on the generated dataset, we propose a novel evaluation model of exhibition-space cells for O2O service layout.

A Multilevel Analysis on Factors Affecting Companion Animal Ownership among Elderly Persons (노인의 반려동물 소유에 영향을 미치는 요인에 관한 다수준 분석)

  • Lee, Sungeun
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.7
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    • pp.599-608
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    • 2017
  • This study investigated factors that are associated with companion animal ownership among urban elderly persons. This study was based on data from 2014 Seoul Survey, and a total of 4,717 people aged 60 years or older were selected for the analyses. Community level data were from 2014 Seoul statistics and they included park area per person, number of elderly recreational facilities, and number of public sports facilities based on 25 districts of Seoul Metropolitan City. This study examined differences between companion animal owners and non-owners concerning individual level factors and community level factors. Factors that are associated with companion animal ownership were examined using multilevel logistic regression analysis. Among individual level variables, companion animal ownership was associated with gender, marital status, income, number of household members, and housing type. Among community level variables, park area per person was a significant factor that is associated with companion animal ownership. Study findings can be used Based on study findings, implications of the study and directions for future research are discussed.

Error and Accuracy Analysis about Road Name Address for Reliability Improvement and Efficient Utilization (신뢰도 향상과 활용성 제고를 위한 도로명주소기본도의 오류 및 정확도 분석)

  • Lee, Jong-Sin;Kim, Jung-Hyun;Kim, Min-Gyu;Yun, Hee-Cheon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.5 no.2
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    • pp.223-230
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    • 2015
  • Due to the conversion from the existing address system to road name address system, the versatility of the road name address from the public and private sectors is increasing gradually. Therefor, the reliability of the road name address basic map, of the default data is also an urgent need, this means the accuracy of the data. But, road name address basic map is production time due to the use of different map accuracy is to fall, so is also the situation insufficient of utilization. This study Construction of identify each attempt by the road name address basic map and analysis the location accuracy of road name address basic map. As a result, the RMSE of cadastral survey results showed that appears lower than the RMSE of digital map survey results. The judgment can be utilized as the basis for the proposed improvements for the road name address basic map.