http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
TRAO Multi-beam Legacy Survey of Nearby Filamentary Molecular Clouds : Progress Report
ShinYoung Kim,Eun Jung Chung,Chang Won Lee,Philip C. Myers,Paola Caselli,Mario Tafalla,Gwanjeong Kim,Miryang Kim,Archana Soam,Maheswar Gophinathan,Tie Liu,Kyounghee Kim,Woojin Kwon,Jongsoo Kim 한국천문학회 2017 天文學會報 Vol.42 No.1
Data Avaliability Scheduling for Synthesis Beyond Basic Block Scope
Kim, Jongsoo The Korean Institute of Electrical Engineers 1998 Journal of Electrical Engineering and Information Vol.3 No.1
High-Level synthesis of digital circuits calls for automatic translation of a behavioral description to a structural design entity represented in terms of components and connection. One of the critical steps in high-level synthesis is to determine a particular scheduling algorithm that will assign behavioral operations to control states. A new scheduling algorithm called Data Availability Scheduling (DAS) for high-level synthesis is presented. It can determine an appropriate scheduling algorithm and minimize the number of states required using data availability and dependency conditions extracted from the behavioral code, taking into account of states required using data availability and dependency conditions extracted from the behavioral code, taking into account resource constraint in each control state. The DAS algorithm is efficient because data availability conditions, and conditional and wait statements break the behavioral code into manageable pieces which are analyzed independently. The output is the number of states in a finite state machine and shows better results than those of previous algorithms.
Turbulence Driven by Supernova Explosions in a Radiatively-Cooling Magnetized Interstellar Medium
KIM JONGSOO,BALSARA DINSHAW,MAC LOW MORDECAI-MARK The Korean Astronomical Society 2001 Journal of The Korean Astronomical Society Vol.34 No.4
We study the properties of supernova (SN) driven interstellar turbulence with a numerical magnetohydrodynamic (MHD) model. Calculations were done using the RIEMANN framework for MHD, which is highly suited for astrophysical flows because it tracks shocks using a Riemann solver and ensures pressure positivity and a divergence-free magnetic field. We start our simulations with a uniform density threaded by a uniform magnetic field. A simplified radiative cooling curve and a constant heating rate are also included. In this radiatively-cooling magnetized medium, we explode SNe one at a time at randomly chosen positions with SN explosion rates equal to and 12 times higher than the Galactic value. The evolution of the system is basically determined by the input energy of SN explosions and the output energy of radiative cooling. We follow the simulations to the point where the total energy of the system, as well as thermal, kinetic, and magnetic energy individually, has reached a quasi-stationary value. From the numerical experiments, we find that: i) both thermal and dynamical processes are important in determining the phases of the interstellar medium, and ii) the power index n of the $B-p^n$ relation is consistent with observed values.
THE VELOCITY FIELD OF SUPERNOVA-DRIVEN TURBULENCE IN THE INTERSTELLAR MEDIUM
KIM JONGSOO The Korean Astronomical Society 2004 Journal of The Korean Astronomical Society Vol.37 No.4
We perform numerical experiments on supernova-driven turbulent flows in order to see whether or not supernovae playa major role in driving turbulence in the interstellar medium. In a $(200pc)^3$ computational box, we set up, as initial conditions, uniformly magnetized gas distributions with different pairs of hydrogen number densities and magnetic field strengths, which cover the observed values in the Galactic midplane. We then explode supernovae at randomly chosen positions at a Galactic explosion rate and follow up the evolution of the supernova-driven turbulent flows by integrating numerically the ideal MHD equations with cooling and heating terms. From the numerical experiments we find that the density-weighted velocity dispersions of the flows are in the range of 5-10 km $s^{-l}$, which are consistent with the observed velocity dispersions of cold and warm neutral media. Additionally, we find that strong compressible flows driven by supernova explosions quickly change into solenoidal flows.
Using nasal cannula for sevoflurane deep sedation in emergency dental treatment
Kim, Jongbin,Yoo, Seunghoon,Kim, Jongsoo,Kim, Seungoh The Korean Dental Society of Anesthsiology 2015 Journal of Dental Anesthesia and Pain Medicine Vol.15 No.1
Background: Emergency room doctors run into difficulties in treating injured pediatric patients because usually they fell into panic after trauma. In these situation, deep sedation with sevoflurane is fully recommendable method. The conventional way can interrupt common dental treatment procedure. Methods: In the present study, nasal cannula was used for sevoflurane deep sedation in 11 dental emergency treatment. Age ranged from 0 to 3 years old (average of 1.8 years). Results: Treatment duration was from 10 to 35 minutes (average of 16.7 minutes). Average duration of sedation was 25.5 minutes ranging from 15 to 45 minutes. Conclusions: It has advantages to use nasal cannula for sevoflurane deep sedation rather than conventional intubation; saves time and secures good operation field.
Data Availability Scheduling for Syntheses Beyond Basic Block Scope
Jongsoo Kim 한국정보과학회 1998 Journal of Electrical Engineering and Information Vol.3 No.1
High-Level synthesis of digital circuits calls for automatic translation of a behavioral description to a structural design entity represented in terms of components and connections. One of the critical steps in high-level synthesis is to determine a particular scheduling algorithm that will assign behavioral operations to control states. A new scheduling algorithm called Data Availability Scheduling (DAS) for high-level synthesis is presented. It can determine an appropriate scheduling algorithm and minimize the number of states required using data availability and dependency conditions extracted from the behavioral code, taking into account resource constraint in each control state. The DAS algorithm is efficient because data availability conditions, and conditional and wait statements break the behavioral code into manageable pieces which are analyzed independently. The output is the number of states in a finite state machine and shows better results than those of previous algorithms.