Efficiency Analysis of the Seoul Metro Integration Based on DEA

2021 ◽  
Vol 9 (3) ◽  
pp. 959-967
Author(s):  
Yongho Chang ◽  
Sungbong Chung
Keyword(s):  
Efficiency Analysis

Recent trends in Component Based software development and Efficiency analysis of Semantic search based component retrieval Technique

2018 ◽  
pp. 105-113 ◽  
Author(s):  
Vishnu Sharma ◽  
Vijay Singh Rathore
Keyword(s):  
Software Development ◽  
Efficiency Analysis ◽  
Software Components ◽  
High Demand ◽  
Component Retrieval ◽  
Software Developer ◽  
Software Libraries ◽  
Retrieval Technique ◽  
Executable File ◽  
Recent Trends

In these days most of the software development uses preexisting software components. This approach provides plenty of benefits over the traditional development. Most of the software industries uses their own domain based software libraries where components resides in the form of modules, codes, executable file, documentations, test plans which may be used as it is or with minor changes. Due to shrinking time and high demand of software development it is necessary to use pre tested software components to ensure high functionality in software developed. Software components can be used very easily and without having the worries of errors and bugs because these are developed under expert supervision and well tested. What we have to do is just embed these components in our project. In this paper a survey got conducted over 112 software developer,testers and freelancers. In survey several issues in CBSD were identified. An efficient repository along with a component search engine is developed. All the component retrieval techniques were evaluated and compared with precise and recall method.

THE ENERGY EFFICIENCY ANALYSIS OF DATA CENTER COOLING BASED ON SEPARATED HEAT PIPE

2018 ◽  
Author(s):  
Tao Wang ◽  
Yuhua Li ◽  
Huan Liu ◽  
Lei Zhang ◽  
Yuyan Jiang ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Heat Pipe ◽  
Data Center ◽  
Efficiency Analysis ◽  
Data Center Cooling ◽  
Energy Efficiency Analysis

Algorithm for assessing fire damage based on multi-factor analysis of fires development from gas compressor stations

2020 ◽  
Vol 90 ◽  
pp. 74-84
Author(s):  
A. A. Tanygina ◽  
◽  
R. V. Khalikov ◽  
Keyword(s):  
Factor Analysis ◽  
Multivariate Analysis ◽  
Systems Analysis ◽  
Statistical Data ◽  
Efficiency Analysis ◽  
Economic Damage ◽  
Fire Damage ◽  
Fire Control ◽  
Multifactor Model ◽  
General Scientific

Introduction. The article provides an algorithm for assessing the damage from a fire on the territory of gas compressor stations using a multifactor model of scenarios for the development of a fire. The causes of fires at the facilities of gas compressor stations are analyzed on the basis of statistical data. The established algorithm was verified by calculating the damage from fires, and the most dangerous causes of fires on the territory of gas compressor stations were established by the values of the frequency of emergency ruptures. The purpose of the study is establishing an algorithm for assessing fire damage based on a multivariate analysis of scenarios for the development of fires at gas compressor stations. Research methods. To obtain the results, general scientific and special methods of scientific knowledge were used. These are analysis, generalization, economic analysis, analysis of empirical data, which were based on the general provisions of the theory of analysis and systems analysis. The results of the study. A multivariate analysis of scenarios for the development of fires on the territory of gas compressor stations is carried out. An algorithm is found for assessing fire damage based on a multivariate analysis of scenarios for the development of fires at gas compressor stations. Conclusion. Using the results of the analysis of scenarios of fire development on the territory of gas compressor stations and calculations of indicators of economic damage from fires at these facilities, it is possible to draw up an algorithm for assessing fire damage on the territory of gas compressor stations. Key words: efficiency, analysis, statistics, fire, gas compressor stations, state fire control authorities, damage calculation.

Sign in / Sign up

Export Citation Format

Share Document