• 제목/요약/키워드: science exploration

검색결과 1,297건 처리시간 0.027초

Study on an 8-Wheel Suspension to Enhance the Hill-Climbing Performance for a Planetary Exploration Rover

  • Eom, We-Sub;Lee, Joo-Hee;Gong, Hyun-Cheol;Choi, Gi-Hyuk
    • Journal of Astronomy and Space Sciences
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    • 제31권4호
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    • pp.347-351
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    • 2014
  • Planetary exploration rovers are likely to make a trip on a winding and sloping road of irregular surfaces to the destination in order to accomplish scientific missions. One of the key technologies for rovers is a suspension for traveling and performing exploration missions; the suspension is an essential area of technology for a stable movement of a rover. In this study, an 8-wheel suspension is designed to enable efficient climbing of slopes on a passage to the destination. For the two front wheels among the eight wheels, the moment at the pivot connecting two wheels is derived when the distance between the wheels and the torque of wheels are same. A test experiment was performed to compare the magnitude of moment according to the change in tilt angle and the position of the pivot. Finally, a suspension design considering the position of the pivot was proposed to enhance the hill-climbing performance.

Data Mining for High Dimensional Data in Drug Discovery and Development

  • Lee, Kwan R.;Park, Daniel C.;Lin, Xiwu;Eslava, Sergio
    • Genomics & Informatics
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    • 제1권2호
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    • pp.65-74
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    • 2003
  • Data mining differs primarily from traditional data analysis on an important dimension, namely the scale of the data. That is the reason why not only statistical but also computer science principles are needed to extract information from large data sets. In this paper we briefly review data mining, its characteristics, typical data mining algorithms, and potential and ongoing applications of data mining at biopharmaceutical industries. The distinguishing characteristics of data mining lie in its understandability, scalability, its problem driven nature, and its analysis of retrospective or observational data in contrast to experimentally designed data. At a high level one can identify three types of problems for which data mining is useful: description, prediction and search. Brief review of data mining algorithms include decision trees and rules, nonlinear classification methods, memory-based methods, model-based clustering, and graphical dependency models. Application areas covered are discovery compound libraries, clinical trial and disease management data, genomics and proteomics, structural databases for candidate drug compounds, and other applications of pharmaceutical relevance.

Korea Pathfinder Lunar Orbiter Flight Dynamics Simulation and Rehearsal Results for Its Operational Readiness Checkout

  • Song, Young-Joo;Bae, Jonghee;Hong, SeungBum;Bang, Jun
    • Journal of Astronomy and Space Sciences
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    • 제39권4호
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    • pp.181-194
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    • 2022
  • Korea Pathfinder Lunar Orbiter (KPLO), also known as Danuri, was successfully launched on 4 Aug. from Cape Canaveral Space Force Station using a Space-X Falcon-9 rocket. Flight dynamics (FD) operational readiness was one of the critical parts to be checked before the flight. To demonstrate FD software's readiness and enhance the operator's contingency response capabilities, KPLO FD specialists planned, organized, and conducted four simulations and two rehearsals before the KPLO launch. For the efficiency and integrity of FD simulation and rehearsal, different sets of blind test data were prepared, including the simulated tracking measurements that incorporated dynamical model errors, maneuver execution errors, and other errors associated with a tracking system. This paper presents the simulation and rehearsal results with lessons learned for the KPLO FD operational readiness checkout. As a result, every functionality of FD operation systems is firmly secured based on the operation procedure with an enhancement of contingency operational response capability. After conducting several simulations and rehearsals, KPLO FD specialists were much more confident in the flight teams' ability to overcome the challenges in a realistic flight and FD software's reliability in flying the KPLO. Moreover, the results of this work will provide numerous insights to the FD experts willing to prepare deep space flight operations.

Links Between Macro Facilitators of Organizational Empowerment and Ambidextrous Behaviors: An Empirical Study from Pakistan

  • IQBAL, Sumaira;PARVEZ, Anjum;ANJUM, Muhammad Adeel;SAFDAR, Tayybah;AHMED, Ammarah
    • The Journal of Asian Finance, Economics and Business
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    • 제9권2호
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    • pp.113-120
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    • 2022
  • The goal of this study is to see if there's a relationship between employees' ambidextrous behaviors and macro facilitators of organizational empowerment (such as control over workplace decisions, dynamic structural framework, and fluidity in information sharing) (exploration and exploitation). To acquire data, this study uses survey methods. A cross-sectional survey was done to collect information from academics at five large public sector universities in Pakistan's Balochistan province. Control over workplace decisions boosts academics' engagement in exploration and exploitation, while a dynamic structural framework merely increases their engagement in exploration, according to the findings based on data from 240 respondents (n = 240). The findings also show that information sharing flexibility has little effect on exploration and exploitation behaviors. In conclusion, the results of this study imply that organizational empowerment is critical for academics' ambidextrous behaviors to thrive. As a result, specific organizational facilitators of empowerment (such as control over workplace decisions and a dynamic structural framework) are advised in higher education institutions. This research is significant because it develops and tests a model that explains hitherto unexplored connections between macro facilitators of organizational empowerment and employees' ambidextrous behaviors. In addition, the research provides important insights for managerial practice and research.

Preliminary Characterization of Secondary Illumination at Shackleton Crater Permanently Shadowed Region from ShadowCam Observations and Modeling

  • Prasun Mahanti;Mark Southwick Robinson;David Carl Humm;Robert Vernon Wagner;Nicholas Michael Estes;Jean-Pierre Williams
    • Journal of Astronomy and Space Sciences
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    • 제40권4호
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    • pp.131-148
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    • 2023
  • Lunar permanently shadowed regions (PSRs) never see direct sunlight and are illuminated only by secondary illumination - light reflected from nearby topography. The ShadowCam imaging experiment onboard the Korea Pathfinder Lunar Orbiter is acquiring images of these PSRs. We characterize and discuss the nature of secondary illumination for the Shackleton PSR from ShadowCam radiance-calibrated images. We also use modeling to understand the magnitude and direction of the secondary illumination. Results from our analysis highlight the non-homogeneous, dynamic, and complex nature of PSR secondary lighting. Knowledge of the direction of the secondary illumination is crucial for reli-able interpretation of contrasts observed in ShadowCam images. This preliminary analysis of the floor of Shackleton crater from images acquired over multiple secondary illumination conditions does not reveal indications of exposed surface ice, even though temperatures are constantly below 110K.

한국의 우주탐사 과학데이터 공개시스템 (The Public Release System for Scientific Data from Korean Space Explorations)

  • 김주현
    • 우주기술과 응용
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    • 제3권4호
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    • pp.373-384
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    • 2023
  • 우리나라 최초의 우주탐사 개발사업으로 시작된 달 탐사 개발사업은 다누리 달 궤도선뿐만 아니라 임무목적을 달성하기 위한 탑재체와 이를 운영하기 위한 심우주지상시스템도 함께 개발되었다. 다누리에 탑재된 국내 기관이 개발한 4기의 과학탑재체가 획득한 달 탐사 과학데이터는 2024년 1월부터 일반 대중에게 공개될 예정이다. 이를 위하여 우리나라 최초의 우주탐사 과학데이터 관리 및 공개시스템인 KPDS(KARI Planetary Data System)가 개발되었다. 본 논문에서는 구축된 KPDS 웹사이트의 구성과 기능에 대하여 기술하였다.

The Transition Effect of Korea's Space Development

  • Kim, Jong-bum
    • International Journal of Advanced Culture Technology
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    • 제6권2호
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    • pp.80-85
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    • 2018
  • In the 1990s, South Korea recently launched Space Development and is pushing for a step toward Space. In the Space Launch Vehicle field, the development of Practical satellite type Launch Vehicle (Korea Space Launch Vehicle II) has progressed to the stage of proprietary development, and in the field of Satellite development, they also have a great deal of competitiveness. This study will be a shortcut to rediscovering our potential and looking for breakthroughs by reviewing and re-examining the effects of past Space development.

상위 단계 합성에서의 스케줄링 효과를 이용한 메모리 탐색 (Memory Exploration utilizing Scheduling Effects in High-level Synthesis)

  • 서재원;김태환
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (A)
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    • pp.1-3
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    • 2002
  • 본 논문에서는 상위 단계 합성(high-level synthesis)에서의 메모리 탐색(exploration) 문제를 푸는 데 있어, 현존하는 메모리 합성 시스템들이 간과했던 한 가지 중요한 성질인 메모리 탐색에서의 스케줄링 효과(scheduling effect)를 말하고자 한다. 그리고 이 성질을 충분히 활용할 수 있는 새로운 형태의 통합된 알고리즘을 제안한다. 이 알고리즘은 메모리 구성(configuration)과 스케줄을 동시에 고려한다는 것을 가장 큰 특징으로 하는데, 몇 개의 벤치마크 필터 회로에 대한 실험을 통해 제안된 탐색 기법이 빠른 시간 안에 최적에 가까운 메모리 구성을 찾는다는 것을 보일 수 있었다.

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음악에서의 디지탈 미학 (A digital aesthetic in music)

  • 윤증선
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.130-133
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    • 1996
  • An exploration for an emotional intelligence paradigm has been delineated. Emotional intelligence is investigated in terms of composing machine as a modern abstract art. The system consists of interface, plan and performance modules. Design concepts of the system are modular, open, and user friendly to ensure the overall performance. The exploration of art in the view of intelligence, information and structure will restore the balanced sense of the art and the science seek the happiness of life. The investigations of emotional intelligence will establish the foundations of intelligence, information and control technologies.

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탐색 강화 계층적 강화 학습 (Hierachical Reinforcement Learning with Exploration Bonus)

  • 이승준;장병탁
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2001년도 가을 학술발표논문집 Vol.28 No.2 (2)
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    • pp.151-153
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    • 2001
  • Q-Learning과 같은 기본적인 강화 학습 알고리즘은 문제의 사이즈가 커짐에 따라 성능이 크게 떨어지게 된다. 그 이유들로는 목표와의 거리가 멀어지게 되어 학습이 어려워지는 문제와 비 지향적 탐색을 사용함으로써 효율적인 탐색이 어려운 문제를 들 수 있다. 이들을 해결하기 위해 목표와의 거리를 줄일 수 있는 계층적 강화 학습 모델과 여러 가지 지향적 탐색 모델이 있어 왔다. 본 논문에서는 이들을 결합하여 계층적 강화 학습 모델에 지향적 탐색을 가능하게 하는 탐색 보너스를 도입한 강화 학습 모델을 제시한다.

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