• Title/Summary/Keyword: ASAP

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Numerical Solution of Second Order Linear Partial Differential Equations using Agricultural Systems Application Platform (농업시스템응용플랫폼을 이용한 2계 편미분 방정식의 해석)

  • Lee, SungYong;Kim, Taegon;Suh, Kyo;Han, Yicheol;Lee, Jemyung;Yi, Hojae;Lee, JeongJae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.58 no.1
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    • pp.81-90
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    • 2016
  • The Agricultural Systems Application Platform (ASAP) provides bottom-up modelling and simulation environment for agricultural engineer. The purpose of this study is to expand usability of the ASAP to the second order partial differential equations: elliptic equations, parabolic equations, and hyperbolic equations. The ASAP is a general-purpose simulation tool which express natural phenomenon with capsulized independent components to simplify implementation and maintenance. To use the ASAP in continuous problems, it is necessary to solve partial differential equations. This study shows usage of the ASAP in elliptic problem, parabolic problem, and hyperbolic problem, and solves of static heat problem, heat transfer problem, and wave problem as examples. The example problems are solved with the ASAP and Finite Difference method (FDM) for verification. The ASAP shows identical results to FDM. These applications are useful to simulate the engineering problem including equilibrium, diffusion and wave problem.

A method of operation selection in scheduling with decreasing mobilities (배정 가능 범위 축소에 의한 스케쥴링을 위한 연산 선택 방법)

  • 서영진;유희진;박도순
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10c
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    • pp.665-667
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    • 1998
  • 자동화 설계의 합성 과정 중에서 스케쥴링은 설계되는 하드웨어의 면적과 실행 시간을 결정하는 중요한 단계이다. 본 논문에서는 논문[8]의 방법으로 모든 연산의 배정 가능 범위를 축소하였으나 스케쥴링이 종료되지 않을 때 현재의 스케쥴링 상황을 매개변수로 표현하여 임의의 연산 배정 범위를 축소하기 위한 선택 함수를 제안한다. 제안한 방법에서는 배정 가능 범위가 가장 큰 연산의 ASAP 또는 ALAP중의 하나를 항상 선택하는데, 그러한 연산이 2개 이상인 경우에는 임의의 연산의 ASAP 또는 ALAP을 선택하여 축소하는 경우에 모든 연산의 배정 가능 범위의 변화량, 임의의 연산을 ASAP 또는 ALAP에 고정하였을 때 자원 제약과 그 연산의 종속성에 의한 다른 연산들의 이동 변화량, 그리고 각 파티션에 연산들의 배정을 균등하게 하는 정보를 사용하여 연산의 ASAP 또는 ALAP중에 하나를 선택한다. 이 알고리즘의 성능 평가는 5차 엘립틱 웨이브 필터를 벤치마크로 사용하였으며, 실험 결과는 모든 엘립틱 웨이브 필터에 대해 최적이었다.

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An Energy-Efficient Periodic Data Collection using Dynamic Cluster Management Method in Wireless Sensor Network (무선 센서 네트워크에서 동적 클러스터 유지 관리 방법을 이용한 에너지 효율적인 주기적 데이터 수집)

  • Yun, SangHun;Cho, Haengrae
    • IEMEK Journal of Embedded Systems and Applications
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    • v.5 no.4
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    • pp.206-216
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    • 2010
  • Wireless sensor networks (WSNs) are used to collect various data in environment monitoring applications. A spatial clustering may reduce energy consumption of data collection by partitioning the WSN into a set of spatial clusters with similar sensing data. For each cluster, only a few sensor nodes (samplers) report their sensing data to a base station (BS). The BS may predict the missed data of non-samplers using the spatial correlations between sensor nodes. ASAP is a representative data collection algorithm using the spatial clustering. It periodically reconstructs the entire network into new clusters to accommodate to the change of spatial correlations, which results in high message overhead. In this paper, we propose a new data collection algorithm, name EPDC (Energy-efficient Periodic Data Collection). Unlike ASAP, EPDC identifies a specific cluster consisting of many dissimilar sensor nodes. Then it reconstructs only the cluster into subclusters each of which includes strongly correlated sensor nodes. EPDC also tries to reduce the message overhead by incorporating a judicious probabilistic model transfer method. We evaluate the performance of EPDC and ASAP using a simulation model. The experiment results show that the performance improvement of EPDC is up to 84% compared to ASAP.

DEEP-South: Automated Scheduler and Data Pipeline

  • Yim, Hong-Suh;Kim, Myung-Jin;Roh, Dong-Goo;Park, Jintae;Moon, Hong-Kyu;Choi, Young-Jun;Bae, Young-Ho;Lee, Hee-Jae;Oh, Young-Seok
    • The Bulletin of The Korean Astronomical Society
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    • v.41 no.1
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    • pp.54.3-55
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    • 2016
  • DEEP-South Scheduling and Data reduction System (DS SDS) consists of two separate software subsystems: Headquarters (HQ) at Korea Astronomy and Space Science Institute (KASI), and SDS Data Reduction (DR) at Korea Institute of Science and Technology Information (KISTI). HQ runs the DS Scheduling System (DSS), DS database (DB), and Control and Monitoring (C&M) designed to monitor and manage overall SDS actions. DR hosts the Moving Object Detection Program (MODP), Asteroid Spin Analysis Package (ASAP) and Data Reduction Control & Monitor (DRCM). MODP and ASAP conduct data analysis while DRCM checks if they are working properly. The functions of SDS is three-fold: (1) DSS plans schedules for three KMTNet stations, (2) DR performs data analysis, and (3) C&M checks whether DSS and DR function properly. DSS prepares a list of targets, aids users in deciding observation priority, calculates exposure time, schedules nightly runs, and archives data using Database Management System (DBMS). MODP is designed to discover moving objects on CCD images, while ASAP performs photometry and reconstructs their lightcurves. Based on ASAP lightcurve analysis and/or MODP astrometry, DSS schedules follow-up runs to be conducted with a part of, or three KMTNet telescopes.

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Privilege and Immunity of Information and Data from Aviation Safety Program in Unites States (미국 항공안전데이터 프로그램의 비공개 특권과 제재 면제에 관한 연구)

  • Moon, Joon-Jo
    • The Korean Journal of Air & Space Law and Policy
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    • v.23 no.2
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    • pp.137-172
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    • 2008
  • The earliest safety data programs, the FDR and CVR, were electronic reporting systems that generate data "automatically." The FDR program, originally instituted in 1958, had no publicly available restrictions for protections against sanctions by the FAA or an airline, although there are agreements and union contracts forbidding the use of FDR data for FAA enforcement actions. This FDR program still has the least formalized protections. With the advent of the CVR program in 1966, the precursor to the current FAR 91.25 was already in place, having been promulgated in 1964. It stated that the FAA would not use CVR data for enforcement actions. In 1982, Congress began restricting the disclosure of the CVR tape and transcripts. Congress added further clarification of the availability of discovery in civil litigation in 1994. Thus, the CVR data have more definitive protections in place than do FDR data. The ASRS was the first non-automatic reporting system; and built into its original design in 1975 was a promise of limited protection from enforcement sanctions. That promise was further codified in an FAR in 1979. As with the CVR, from its inception, the ASRS had some protections built in for the person who might have had a safety problem. However, the program did not (and to this day does not) explicitly deal with issues of use by airlines, litigants, or the public media, although it appears that airlines will either take a non-punitive stance if an ASRS report is filed, or the airline may ignore the fact that it has been filed at all. The FAA worked with several U.S. airlines in the early 1990s on developing ASAP programs, and the FAA issued an Advisory Circular about the program in 1997. From its inception, the ASAP program contained some FAA enforcement protections and company discipline protections, although some protection against litigation disclosure and public disclosure was not added until 2003, when FAA Order 8000.82 was promulgated, placing the program under the protections of FAR 193, which had been added in 2001. The FOQA program, when it was first instituted through a demonstration program in 1995, did not contain protections against sanctions. Now, however, the FAA cannot take enforcement action based on FOQA safety data, and an airline is limited to "corrective action" under the program. Union contracts can exclude FOQA from the realm of disciplinary action, although airline practice may be for airlines to require retraining if there is no contract in place forbidding it. The data is protected against disclosure for litigation and public media purposes by FAA Order 8000.81, issued in 2003, which placed FOQA under the protections of FAR 193. The figure on the next page shows when each program began, and when each statute, regulation, or order became effective for that program.

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Characterization of Carbon Molecular Sieve for Separating CH4 Gas (메탄가스 분리용 탄소분자체 특성 연구)

  • Lee Byum-Suk;Kim Taik-Nam;Kim Yun-Jong
    • Korean Journal of Materials Research
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    • v.14 no.2
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    • pp.157-162
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    • 2004
  • The object of this research is to develop a carbon molecular sieve(below CMS) which can separate selectively to convert mixture gases spout at waste landfill into fuel. And this research is meaningful from the viewpoint of a quality improvement of CH$_4$ gas and an utilization of by-product. CMS was prepared using coconut shell powder as starting material and the effects of activators, temperature and modifier on the reaction were investigated in this research. Also, pore diameter, surface area of CMS and adsorption rate were measured and studied by cahn balance and ASAP2010. Its specific surface area and pore distribution were controlled easily at 800^{\circ}C and adsorption rate was very good. The CMS prepared in this research is shown to be able to separate landfill gases very effectively.

Dual-scale BERT using multi-trait representations for holistic and trait-specific essay grading

  • Minsoo Cho;Jin-Xia Huang;Oh-Woog Kwon
    • ETRI Journal
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    • v.46 no.1
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    • pp.82-95
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    • 2024
  • As automated essay scoring (AES) has progressed from handcrafted techniques to deep learning, holistic scoring capabilities have merged. However, specific trait assessment remains a challenge because of the limited depth of earlier methods in modeling dual assessments for holistic and multi-trait tasks. To overcome this challenge, we explore providing comprehensive feedback while modeling the interconnections between holistic and trait representations. We introduce the DualBERT-Trans-CNN model, which combines transformer-based representations with a novel dual-scale bidirectional encoder representations from transformers (BERT) encoding approach at the document-level. By explicitly leveraging multi-trait representations in a multi-task learning (MTL) framework, our DualBERT-Trans-CNN emphasizes the interrelation between holistic and trait-based score predictions, aiming for improved accuracy. For validation, we conducted extensive tests on the ASAP++ and TOEFL11 datasets. Against models of the same MTL setting, ours showed a 2.0% increase in its holistic score. Additionally, compared with single-task learning (STL) models, ours demonstrated a 3.6% enhancement in average multi-trait performance on the ASAP++ dataset.