• Title, Summary, Keyword: flight software

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A Study on the Development Environment for Flight Software using PowerPC (PowerPC를 이용한 저궤도 위성용 탑재소프트웨어 개발환경에 대한 연구)

  • 이재승;최종욱;김대영;이종인;김학정
    • Proceedings of the Korean Information Science Society Conference
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    • pp.514-516
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    • 2004
  • 위성의 개발을 위해서는 오랜 개발기간과 많은 예산, 축적된 기술이 요구된다. 또한 위성에는 다양한 분야의 기술이 사용되어지기 때문에 각 서브시스템마다 독자적인 개발환경을 구축할 필요가 있다. 특히 위성의 찌어. 임무수행 및 지상과의 통신 등을 담당하는 탑재소프트웨어는 위성의 용도 및 목적에 따라 개발환경이 크게 달라진다. 실시간 운영체제는 무엇을 사용하는지, 개발 및 검증을 위한 도구로 어떤 프로그램을 사용하는지, 내외부의 인터페이스는 어떠한 방식으로 수행할지, 새로운 기능의 CPU나 하드웨어에 대한 제어 등 위성의 탑재소프트웨어를 개발하기 위해서는 많은 검토 항목들이 고려되어야 한다. 새로운 위성을 개발할 경우 신기술의 적용과 새로운 시스템위성시스템의 검증 및 개발을 위한 개발검증장비가 요if되며, 위성시스템의 변경 때마다 개발검증장비를 새로이 구축하게 되면 많은 기간과 막대한 비용이 위성개발 시마다 소요된다. 위성선진국에서는 다양한 위성의 개발 시 비용절감 및 개발기간 단축을 위하여 범용위성용 개발검증장비를 개발하여 이용하고 있는 추세이다. 국내에서는 다목적실용위성 1호가 발사되어 성공적으로 임무를 수행하고 있으며 다목 실용위성 2호가 개발되어 현재 통합 및 조립시험이 진행 중이다. 그러나 새로운 위성시스템의 사전 검증 및 신기술의 적용을 위한 범용위성 시스템 테스트베드에 대한 기술은 미비한 실정이다. 이러한 범용위성용 개발검증장비의 기반기술을 확보하기 위하며 현재 위성전자전산시스템 개발검증장비에 대한 연구가 수행되고 있다. 본 논문에서는 현재 수행되고 있는 PowerPC를 이용한 위성 탑재소프트웨어 개발검증시스템의 설계 및 개발현황에 대하여 소개한다.이스는 실험정보가 저장된 데이터베이스, 분석결과가 저장된 데이터베이스, 그리고 유전자 정보 탐색을 위한 데이터베이스로 분류해 데이터를 효율적으로 관리할 수 있게 하였다. 본 시스템은 LiNUX를 운영체계로 하고 데이터베이스는 MYSQL로 하여 JSP, Perl. 통계처리 언어인 R로 구현되었다.프트웨어를 사용하지 않고도 국내의 순수 솔루션인 리눅스 기반의 LonWare 3.0 다중 바인딩 기능을 통해 저 비용으로 홈 네트워크 구성 관리 서버 시스템 개발에 대한 비용을 줄일 수 있다. 기대된다.e 함량이 대체로 높게 나타났다. 점미가 수가용성분에서 goucose대비 용출함량이 고르게 나타나는 경향을 보였고 흑미는 알칼리가용분에서 glucose가 상당량(0.68%) 포함되고 있음을 보여주었고 arabinose(0.68%), xylose(0.05%)도 다른 종류에 비해서 다량 함유한 것으로 나타났다. 흑미는 총식이섬유 함량이 높고 pectic substances, hemicellulose, uronic acid 함량이 높아서 콜레스테롤 저하 등의 효과가 기대되며 고섬유식품으로서 조리 특성 연구가 필요한 것으로 사료된다.리하였다. 얻어진 소견(所見)은 다음과 같았다. 1. 모년령(母年齡), 임신회수(姙娠回數), 임신기간(姙娠其間), 출산시체중등(出産時體重等)의 제요인(諸要因)은 주산기사망(周産基死亡)에 대(對)하여 통계적(統計的)으로 유의(有意)한 영향을 미치고 있어 $25{\sim}29$세(歲)의 연령군에서, 2번째 임신과 2번째의 출산에서 그리고 만삭의 임신 기간에, 출산시체중(出産時體重) $3.50{\sim}3.99kg$사이의 아이에

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Metabolic Characteristic of the Liver of Dairy Cows during Ketosis Based on Comparative Proteomics

  • Xu, Chuang;Wang, Zhe;Liu, Guowen;Li, Xiaobing;Xie, Guanghong;Xia, Cheng;Zhang, Hong You
    • Asian-Australasian Journal of Animal Sciences
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    • v.21 no.7
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    • pp.1003-1010
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    • 2008
  • The objective of the present study was to identify differences in the expression levels of liver proteins between healthy and ketotic cows, establish a liver metabolic interrelationship of ketosis and elucidate the metabolic characteristics of the liver during ketosis. Liver samples from 8 healthy multiparous Hostein cows and 8 ketotic cows were pooled by health status and the proteins were separated by two-dimensional-electrophoresis (2D-E). Statistical analysis of gels was performed using PDQuest software 8.0. The differences in the expression levels of liver proteins (p<0.05) between ketotic and healthy cows were identified by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF-TOF) tandem mass spectrometry. Five enzymes/proteins were identified as being differentially expressed in the livers of ketotic cows: expression of 3-hydroxyacyl-CoA dehydrogenase type-2 (HCDH), acetyl-coenzyme A acetyltransferase 2 (ACAT) and elongation factor Tu (EF-Tu) were down-regulated, whereas that of alpha-enolase and creatine kinase were up-regulated. On the basis of this evidence, it could be presumed that the decreased expression of HCDH, which is caused by high concentrations of acetyl-CoA in hepatic cells, in the livers of ketotic cows, implies reduced fatty acid ??oxidation. The resultant high concentrations of acetyl-CoA and acetoacetyl CoA would depress the level of ACAT and generate more ??hydroxybutyric acid; high concentrations of acetyl-CoA would also accelerate the Krebs Cycle and produce more ATP, which is stored as phosphocreatine, as a consequence of increased expression of creatine kinase. The low expression level of elongation factor Tu in the livers of ketotic cows indicates decreased levels of protein synthesis due to the limited availability of amino acids, because the most glucogenic amino acids sustain the glyconeogenesis pathway; thus increasing the level of alpha-enolase. Decreased protein synthesis also promotes the conversion of amino acids to oxaloacetate, which drives the Krebs Cycle under conditions of high levels of acetyl-CoA. It is concluded that the livers of ketotic cows possess high concentrations of acetyl-CoA, which through negative feedback inhibited fatty acid oxidation; show decreased fatty acid oxidation, ketogenesis and protein synthesis; and increased gluconeogenesis and energy production.

A Method to Manage Faults in SOA using Autonomic Computing (자율 컴퓨팅을 적용한 SOA 서비스 결함 관리 기법)

  • Cheun, Du-Wan;Lee, Jae-Yoo;La, Hyun-Jung;Kim, Soo-Dong
    • Journal of KIISE:Software and Applications
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    • v.35 no.12
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    • pp.716-730
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    • 2008
  • In Service-Oriented Architecture (SOA), service providers develop and deploy reusable services on the repositories, and service consumers utilize blackbox form of services through their interfaces. Services are also highly evolvable and often heterogeneous. Due to these characteristics of the service, it is hard to manage the faults if faults occur on the services. Autonomic Computing (AC) is a way of designing systems which can manage themselves without direct human intervention. Applying the key disciplines of AC to service management is appealing since key technical issues for service management can be effectively resolved by AC. In this paper, we present a theoretical model, Symptom-Cause-Actuator (SCA), to enable autonomous service fault management in SOA. We derive SCA model from our rigorous observation on how physicians treat patients. In this paper, we first define a five-phase computing model and meta-model of SCA. And, we define a schema of SCA profile, which contains instances of symptoms, causes, actuators and their dependency values in a machine readable form. Then, we present detailed algorithms for the five phases that are used to manage faults the services. To show the applicability of our approach, we demonstrate the result of our case study for the domain of 'Flight Ticket Management Services'.

Improvement of Altitude Measurement Algorithm Based on Accelerometer for Holding Drone's Altitude (드론의 고도 유지를 위한 가속도센서 기반 고도 측정 알고리즘 개선)

  • Kim, Deok Yeop;Yun, Bo Ram;Lee, Sunghee;Lee, Woo Jin
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.10
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    • pp.473-478
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    • 2017
  • Drones require altitude holding in order to achieve flight objectives. The altitude holding of the drone is to repeat the operation of raising or lowering the drone according to the altitude information being measured in real-time. When the drones are maintained altitude, the drone's altitude will continue to change due to external factors such as imbalance in thrust due to difference in motor speed or wind. Therefore, in order to maintain the altitude of drone, we have to exactly measure the continuously changing altitude of the drone. Generally, the acceleration sensor is used for measuring the height of the drones. In this method, there is a problem that the measured value due to the integration error accumulates, and the drone's vibration is recognized by the altitude change. To solve the difficulty of the altitude measurement, commercial drones and existing studies are used for altitude measurement together with acceleration sensors by adding other sensors. However, most of the additional sensors have a limitation on the measurement distance and when the sensors are used together, the calculation processing of the sensor values increases and the altitude measurement speed is delayed. Therefore, it is necessary to accurately measure the altitude of the drone without considering additional sensors or devices. In this paper, we propose a measurement algorithm that improves general altitude measurement method using acceleration sensor and show that accuracy of altitude holding and altitude measurement is improved as a result of applying this algorithm.

Analysis of Polymer Characteristics Using Matrix-assisted Laser Desorption/Ionization Time-of-flight Mass Spectrometry (말디토프 질량분석을 이용한 고분자의 특성분석)

  • Kang, Min-Jung;Seong, Yunseo;Kim, Moon-Ju;Kim, Myung Soo;Pyun, Jae-Chul
    • Applied Chemistry for Engineering
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    • v.28 no.3
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    • pp.263-271
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    • 2017
  • The application of mass spectrometry to polymer science has rapidly increased since the development of MALDI-TOF MS. This review summarizes current polymer analysis methods using MALDI-TOF MS, which has been extensively applied to analyze the average molecular weight of biopolymers and synthetic polymers. Polymer sequences have also been analyzed to reveal the structures and composition of monomers. In addition, the analysis of unknown end-groups and the determination of polymer concentrations are very important applications. Hyphenated techniques using MALDI-tandem MS have been used for the analysis of fragmentation patterns and end-groups, and also the combination of SEC and MALDI-TOF MS techniques is recommended for the analysis of complex polymers. Moreover, MALDI-TOF MS has been utilized for the observation of polymer degradation. Ion mobility MS, TOF-SIMS, and MALDI-TOF-imaging are also emerging technologies for polymer characterization because of their ability to automatically fractionate and localize polymer samples. The determination of polymer characteristics and their relation to the material properties is one of the most important demands for polymer scientists; the development of software and instrument for higher molecular mass range (> 100 kD) will increase the applications of MALDI-TOF MS for polymer scientists.