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A Partition Function for Liquid Metals
김완규,Kim, Wan-Kyue Korean Chemical Society 1962 대한화학회지 Vol.6 No.1
The author assumes that pure liquid metal is composed of molecular oscillators whose energy states are classified into two subgroups, i.e., A and B states, each being accesible to either one of the two sorts of lattice sites. The partition function involves constants characteristic of substance, which are obtainable from the Debye characteristic temperature assigned to its solid state. Calculation has been made for the various thermodynamic properties such as the vapor pressure, the entropy, and the heat capacity of liquid metals of GroupⅠelements over the temperature range from the melting points to the boiling points. The theoretical values thus obtained are in good accordances with those observed, within experimental error, although a slight derivation is observed in the atomic heat capacity. 筆者는 週期表 1族에 適用되는 液體金屬의 模型으로서 純粹한 液體金屬은 2原子分子의 單振動子로 構成되면 이 振動子는 自己가 古有하는 싸이트(site)種에 따라 두가지 에너지狀態中 하나를 取하게 된다고 假想함으로써 液體狀態和를 誘導하였다. 이 狀態和食은 本質的으로는 하나의 物質固有의 常數(${\Theta}$)를 內包하고 있으며 液體金屬에 대하여 이 特性値를 줌으로써 여러가지 熱力學的 性質 즉 蒸氣壓, 液體의 엔트로리, 比熱 等을 算出하여 實測値와 比較하여 보았다. 그 結果는 滿足스러운 一致를 보여준다.
동일한 분류 알고리즘 하에서 상이한 언어의 실행시간에 관한 고찰
金完奎,金昌根 진주산업대학교 1989 論文集 Vol.27 No.-
What are relatrve to Run-time of computer langurage for one another under the same sort algorithm and influence the time of sorting are divided into three parts. The first is the character of algorithm, the second is the character of computer system, and the third is the character of languages, and to find effective language under the same algorithm and same system. Each language has its own speed of sorting under same algorithm, same system and same data. Pascal is the fastest of all and Fortran is the next one. Cobol is the latest one among them because Pascal and Fortran approach the character of algorithm descriptive language, but cobol don't. Pascal and Fortran is good for algorithm language, but Cobol is not.
GRAM 작업 관리용 확장형 실행환경 정보 서비스 시스템 설계
김완규,김현주,정미숙,장경일,박규석 진주산업대학교 산업과학기술연구소 2005 산업과학기술연구소보 Vol.- No.12
Grid computing is an emerging technology that promise to unify resources and computing power in many organizations together. It couples a wide variety of geographically distributed computational resources, and presents them as a unified integrated high-end computer. The Globus Resource Allocation and Management(GRAM) service provides for the management and remote execution of jobs defined using a standard Resource Specification Language(RSL) requested by client in grid environment. However, Currently the GRAM has very limited functionality to support for applications that required special execution environment. Here, we provide a proposal for Execution Environment Information interacted with broker to support the GRAM's special execution environment.
液體의 統計力學的構造 Ⅲ : Inert Gases 不活性氣體
金完奎 崇展大學校 1976 論文集 Vol.6 No.1
The quasi-crystalline structure of liguids, based upon hole model, is applied to calculate the molar heat capacity and α/βof argon, and the vapor pressure, over the range of triple point to critical point, of krypton, and the various thermodynamic properties at melting point and boiling point, such as liquid pressure, liquid volume, heat and entropy of vaporization, and critical constants. The calculated thermodynamic data are compared with experiment and with the values calculated from Ree-Eyring's theory. It is found that the results calculated from the hole model agree best with experiment.
김완규,김규완,이은정,Edward M. Marcotte,김형하,서정근 한국바이오칩학회 2007 BioChip Journal Vol.1 No.3
Proteins are traditionally known as the building blocks or functional units that make up the cellular physiology of living organisms. In the post-genomic view of a protein, however, it can function as an element within a protein network and its role can then be evaluated by protein-protein interaction analysis. The role of proteins within such a network can be defined by their cellular function within the functional modules of the network as well as their individual activity. In this study, we used a proteinprotein interaction modeling system to identify the functional modules and proteins involved in the pathogenic interaction between the gastric pathogen, <I>H. pylori</I>, and humans. We analyzed 1,590 <I>H. pylori</I> proteins against 10,257 human entries expressed in human gastric tissues and identified 4,349 potential protein-protein interactions between 159 <I>H. pylori</I> proteins and 108 human proteins. We then investigated the association of gastric cancer with the 108 human proteins found to have an interaction with the <I>H. pylori</I> proteins using a GeneChip database that we generated. Among the 108 human proteins, 93 (86%) were shown to be associated with gastric cancer, 91 of which were up-regulated and 2 of which were down-regulated by at least 4 fold in gastric cancer tissues. Additionally, 32 of the proteins were found to be gastric cancer-specific, whereas the remaining proteins were found to be associated with several other forms of cancer. Taken together, these results suggest that protein network modeling in conjunction with GeneChip technology can be a useful tool for the analysis of the complex relationship between human pathogens and their hosts.