• 제목/요약/키워드: System Tool Kit

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Determining the Rotation Periods of an Inactive LEO Satellite and the First Korean Space Debris on GEO, KOREASAT 1

  • Choi, Jin;Jo, Jung Hyun;Kim, Myung-Jin;Roh, Dong-Goo;Park, Sun-Youp;Lee, Hee-Jae;Park, Maru;Choi, Young-Jun;Yim, Hong-Suh;Bae, Young-Ho;Park, Young-Sik;Cho, Sungki;Moon, Hong-Kyu;Choi, Eun-Jung;Jang, Hyun-Jung;Park, Jang-Hyun
    • Journal of Astronomy and Space Sciences
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    • 제33권2호
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    • pp.127-135
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    • 2016
  • Inactive space objects are usually rotating and tumbling as a result of internal or external forces. KOREASAT 1 has been inactive since 2005, and its drift trajectory has been monitored with the optical wide-field patrol network (OWL-Net). However, a quantitative analysis of KOREASAT 1 in regard to the attitude evolution has never been performed. Here, two optical tracking systems were used to acquire raw measurements to analyze the rotation period of two inactive satellites. During the optical campaign in 2013, KOREASAT 1 was observed by a 0.6 m class optical telescope operated by the Korea Astronomy and Space Science Institute (KASI). The rotation period of KOREASAT 1 was analyzed with the light curves from the photometry results. The rotation periods of the low Earth orbit (LEO) satellite ASTRO-H after break-up were detected by OWL-Net on April 7, 2016. We analyzed the magnitude variation of each satellite by differential photometry and made comparisons with the star catalog. The illumination effect caused by the phase angle between the Sun and the target satellite was corrected with the system tool kit (STK) and two line element (TLE) technique. Finally, we determined the rotation period of two inactive satellites on LEO and geostationary Earth orbit (GEO) with light curves from the photometry. The main rotation periods were determined to be 5.2 sec for ASTRO-H and 74 sec for KOREASAT 1.

신경세포-신경교세포 공동배양을 이용한 성숙한 해마신경세포의 효율적인 형질전환 방법 (A Reliable Protocol for transfection of mature primary hippocampal neurons using a neuron-glia co-culture system)

  • 이현숙;조선정;정용욱;진익렬;문일수
    • 생명과학회지
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    • 제17권2호통권82호
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    • pp.198-203
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    • 2007
  • 형질전환은 유전자의 기능을 이해하는데 매우 중요한 기법이다. $Ca^{2+}$-인산 침전법은 시간과 비용이 저렴하여 가장 흔히 사용된다. 그러나 성숙 신경세포는 어린 신경세포나 다른 세포종에 비하여 형질전환이 어렵고 쉽게 죽는다. 본 연구에서는 Clontech사의 $CalPhos^{TM}$ Mammalian Transfection 방법을 수정하여 성숙한 신경세포를 효율적으로 형질전환할 수 있는 방법을 고안하였다. 대뇌 신경교세포를 DMEM/10% 말혈청에서 70-80% confluence까지 키우고 배지를 혈청이 첨가되지 않은 Neurobasal/Ara-C로 바꾸어 주어 더 이상 신경교세포가 분열하지 않게 한 다음, 여기에 E19 해마신경세포를 접종하여 배양하였다. $DNA/Ca^{2+}$-인산 침전물은 Clontech사의 $CalPhos^{TM}$ Mammalian Transfection Kit을 이용하여 크기($0.5-1\;{\mu}m$ in diameter) 및 농도(약 10 particles/$100\;{\mu}m^2$)를 배지에서 배양시간을 변화시켜 적당히 조절하였다. 이렇게 하면 in vitro에서 2주 이상 배양한 신경세포도 24-well plate 한 well당 10-15개의 형질전환된 건강한 신경세포를 얻을 수 있었다. 이 방법의 효용성을 검증하기 위하여 연접단백질인 $EGFP-CaMKII{\alpha}$ 융합단백질과 RFP 단백질 유전자(각각 $pEGFP-CaMKII{\alpha}$ 및 pDsRed2)를 형질전환한 결과 전자는 점박이 모양, 후자는 세포전체에 퍼진 양상의 표현을 관찰할 수 있었다. 따라서 본 연구는 성숙한 신경세포를 효율적으로 형질전환할 수 있는 방법을 제공한다.

Design and Implementation of IoT based Low cost, Effective Learning Mechanism for Empowering STEM Education in India

  • Simmi Chawla;Parul Tomar;Sapna Gambhir
    • International Journal of Computer Science & Network Security
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    • 제24권4호
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    • pp.163-169
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    • 2024
  • India is a developing nation and has come with comprehensive way in modernizing its reducing poverty, economy and rising living standards for an outsized fragment of its residents. The STEM (Science, Technology, Engineering, and Mathematics) education plays an important role in it. STEM is an educational curriculum that emphasis on the subjects of "science, technology, engineering, and mathematics". In traditional education scenario, these subjects are taught independently, but according to the educational philosophy of STEM that teaches these subjects together in project-based lessons. STEM helps the students in his holistic development. Youth unemployment is the biggest concern due to lack of adequate skills. There is a huge skill gap behind jobless engineers and the question arises how we can prepare engineers for a better tomorrow? Now a day's Industry 4.0 is a new fourth industrial revolution which is an intelligent networking of machines and processes for industry through ICT. It is based upon the usage of cyber-physical systems and Internet of Things (IoT). Industrial revolution does not influence only production but also educational system as well. IoT in academics is a new revolution to the Internet technology, which introduced "Smartness" in the entire IT infrastructure. To improve socio-economic status of the India students must equipped with 21st century digital skills and Universities, colleges must provide individual learning kits to their students which can help them in enhancing their productivity and learning outcomes. The major goal of this paper is to present a low cost, effective learning mechanism for STEM implementation using Raspberry Pi 3+ model (Single board computer) and Node Red open source visual programming tool which is developed by IBM for wiring hardware devices together. These tools are broadly used to provide hands on experience on IoT fundamentals during teaching and learning. This paper elaborates the appropriateness and the practicality of these concepts via an example by implementing a user interface (UI) and Dashboard in Node-RED where dashboard palette is used for demonstration with switch, slider, gauge and Raspberry pi palette is used to connect with GPIO pins present on Raspberry pi board. An LED light is connected with a GPIO pin as an output pin. In this experiment, it is shown that the Node-Red dashboard is accessing on Raspberry pi and via Smartphone as well. In the final step results are shown in an elaborate manner. Conversely, inadequate Programming skills in students are the biggest challenge because without good programming skills there would be no pioneers in engineering, robotics and other areas. Coding plays an important role to increase the level of knowledge on a wide scale and to encourage the interest of students in coding. Today Python language which is Open source and most demanding languages in the industry in order to know data science and algorithms, understanding computer science would not be possible without science, technology, engineering and math. In this paper a small experiment is also done with an LED light via writing source code in python. These tiny experiments are really helpful to encourage the students and give play way to learn these advance technologies. The cost estimation is presented in tabular form for per learning kit provided to the students for Hands on experiments. Some Popular In addition, some Open source tools for experimenting with IoT Technology are described. Students can enrich their knowledge by doing lots of experiments with these freely available software's and this low cost hardware in labs or learning kits provided to them.