• Bulletin of the Korean Mathematical Society
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• v.57 no.1
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• pp.195-206
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• 2020

The fundamental idea of this article is to present an effective way to obtain the large groups in terms of the split extension obtained by a finite cyclic group and a free abelian group rank 2. The proof of the main result on largeness property of this specific split extension groups will be given by using the connection of large groups with the groups having deficiency one presentations.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 1990.10a
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• pp.105-110
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• 1990

Effective maintenance system for national highway bridges has been requested due to increasing numbers of bridges. In this study, bridge data base is established in accordance with rating criteria for the structural conditions and functions of bridges. Maintenance system using PC-80386 hardware and ORACLE software is developed to rank the priority of either reconstruction or repairing of bridges and to provide with those information to bridge maintenance staff in order to perform bridge maintenance effectively. With this pre-establised data base and computerized maintenance system, data and information for planning of bridge construction could be obtained in times.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.4 no.1
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• pp.119-131
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• 1997

This study was conducted to analyze the nursing diagnoses applied for case studies of nursing students through their clinical practices, and to provide the educational basis of nursing diagnoses with its results. The data were collected for two years(1995 and 1996) from 70 case studies reported by the 2nd and 3rd year nursing junior college students. The students made 259 nursing diagnoses among which 230 diagnoses qualified NANDA classification and were taken for analysis. The results of the analysis were as follows : 1. The number of diagnoses indicating response patterns was 35(35.7%), whereas 98 diagnoses in NANDA table. Among the 35 diagnoses, the pattern of exchange was most frequent, then feeling, moving, knowing in rank. 2. The diagnoses were analyzed in the categories of response patterns. For Instance, 'Altered in Nutrition' was most frequent in exhange, then Risk for Infection', 'Ineffective Airway Clearance', in rank. 3. Among 230 diagnoses, 'Knowle Deficit' was most frequently mentioned, then 'Activity Intolerance' 'Anxiety', 'Pain', 'Altered in Nutrition', 'Risk for Infection', 'Ineffective airway clearance', in rank. 4. The types of word expression of each diagnoses were various. 'Activity Intolerance' was expressed in 6 types. 5. The relating factors applied to each diagnosis were analyzed. For Instance, the relating factor of 'Knowledge Deficit' were illness, and therapeutic process, lack of motivation, occurrance of complication, short experience, operation, and so on. From the above study, the researcher would like to recommend as follows : 1) The current diagnoses need to be verified its content validity, when they are applied to our culture. 2) The most effective educational method for applying nursing diagnoses should be explored. 3) Further study could be focused on not only 'relating factors' but also 'sign and symptoms'.

• Journal of KIISE:Software and Applications
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• v.36 no.7
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• pp.580-589
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• 2009

Today, most web pages are being created in the blogspace or evolving into the blogspace. A blog entry (blog page) includes non-traditional features of Web pages, such as trackback links, bloggers' authority, tags, and comments. Thus, the traditional rank algorithms are not proper to evaluate blog entries because those algorithms do not consider the blog specific features. In this paper, a new algorithm called "Blog-Rank" is proposed. This algorithm ranks blog entries by calculating bloggers' reputation scores, trackback scores, and comment scores based on the features of the blog entries. This algorithm is also applied to searching for information related to the users' queries in the blogspace. The experiment shows that it finds the much more relevant information than the traditional ranking algorithms.

• KIISE Transactions on Computing Practices
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• v.21 no.7
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• pp.482-487
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• 2015

This paper presents the results and the process of extracting correlations between events of prescriptions and examinations using graph-modeling and node centrality measures on a medical dataset of 11,938 patients with diabetes mellitus. As the data is stored in relational form, RDB2Graph framework was used to construct effective graph models from the data. Personalized PageRank was applied to analyze correlation between prescriptions and examinations of the patients. Two graph models were constructed: one that models medical events by each patient and another that considers the time gap between medical events. The results of the correlation analysis confirm current medical knowledge. The paper demonstrates some of the note-worthy findings to show the effectiveness of the method used in the current analysis.

• Journal of the Korean Society of Combustion
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• v.14 no.3
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• pp.16-23
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• 2009

It is strongly desired for coal-fired power plants to utilize not only low-rank coals with high moisture contents, but also lowering cost with diversifying fuel sources. In this study, combustion characteristics of low rank coal with high moisture, and standard pulverized coals are experimentally investigated using TGA (Thermogravimetric Analysis) and DTF (drop tube furnace). The coals tested are three kinds of coal with moisture content ranging from 8.32 to 26.82%. The results show that under the air combustion condition, the burn-out time at TGA rises as moisture content increases, and standard pulverized coal with 8.32% moisture content showed the lowest activation energy of 55.73 kJ/mol. In case of the high amount of moisture, the combustion efficiency decreases due to evaporation heat loss, and unburned carbon in ash produced at combustion process in DTF increased. Aslo, initial deformation temperature of slag attached in alumina tube of DTF decreased with lowering the crytallinity of anorthite and augite. To improve the combustion reactivity and efficiency, it is effective to upgrade through drying the high moisture coal to moisture level (less than 10%) of standard pulverized coal.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.1
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• pp.421-433
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• 2015

Recently, there have been fast-growing social network services based on the Internet environment and web technology development, the prevalence of smartphones, etc. Social networks also allow the users to convey the information and news so that they have a great influence on the public opinion formed by social interaction among users as well as the spread of information. On the other hand, these social networks also serve as perfect environments for rampant malware. Malware is rapidly being spread because relationships are formed on trust among the users. In this paper, an effective patch strategy is proposed to deal with malicious worms based on social networks. A graph is formed to analyze the structure of a social network, and subgroups are formed in the graph for the distributed patch strategy. The weighted directions and activities between the nodes are taken into account to select reliable key nodes from the generated subgroups, and the Incremental PageRanking algorithm reflecting dynamic social network features (addition/deletion of users and links) is used for deriving the high influential key nodes. With the patch based on the derived key nodes, the proposed method can prevent worms from spreading over social networks.

• Korean Journal of Adult Nursing
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• v.18 no.4
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• pp.533-542
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• 2006

Purpose: The purposes of this study were to investigate medical records and to develop care records for management of patients with chest pain in the emergency department. Method: Retrospective review of the 42 medical chart of patients presented to the emergency department with chest pain were used. The collected data were analyzed with a frequency of items in the medical records. Results: In a frequency analysis of recorded items for doctors' chest pain assessment during history taking, the history/risk factors was the highest rank. The following ranks were 'commenced with when/timing, extra symptoms, place, nature, stay/radiate, alleviate/aggravate, intensity' in sequence. In a frequency of recorded items in nurse's progress notes according to nursing actions, the 'checking/monitoring' was the highest rank. The following ranks were 'performing, administering/injecting, referring/arranging, testing, preparing/catheterizing, teaching/informing' in sequence. Chest pain care records for the emergency department was designed, based upon data analysis and literature review. Conclusion: The designed records can be a rapid and effective approach tool for assessment and recording of patients with chest pain. Further research is necessary for evaluating the designed chest pain care records.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.113-121
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• 2020

Multi-criteria stock selection is a critical issue for effective investment since the improper stock investment might cause many problems affecting investors negatively. Investors need a range of financial indicators while they are choosing the optimal set of stocks to invest. This study aims to rank the stock of agriculture companies indexed on the Vietnam Stock Exchange Market. The data of 13 agriculture companies during the 2016-2019 periods was analyzed by analytical hierarchy process (AHP) integrated with grey relational analysis (GRA), multi-objective optimization ratio analysis (MOORA), and technique for order performance by similarity to ideal solution (TOPSIS). The AHP method is employed to determine the weights of the proposed financial ratios, and GRA, TOPSIS, and MOORA approaches are used to obtain final ranking. The results indicated that HSL is the top stock with the highest rank and GRA, MOORA, and TOPSIS rankings have strong correlation values between 0.78-1. The findings suggest that the integrated model could be implemented effectively to specific analysis of industries such as oil and gas, textiles, food, and electronics in future research. Further, other techniques like COPRAS, KEMIRA, and EDAS could be employed to evaluate the financial performance of other companies to solve investment problems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.2
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• pp.522-541
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• 2016

Network virtualization provides an effective way to overcome the Internet ossification problem. As one of the main challenges in network virtualization, virtual network embedding refers to mapping multiple virtual networks onto a shared substrate network. However, existing heuristic embedding algorithms evaluate the embedding potential of the nodes simply by the product of different resource attributes, which would result in an unbalanced embedding. Furthermore, ignoring the hops of substrate paths that the virtual links would be mapped onto may restrict the ability of the substrate network to accept additional virtual network requests, and lead to low utilization rate of resource. In this paper, we introduce and extend five node attributes that quantify the embedding potential of the nodes from both the local and global views, and adopt the technique for order preference by similarity ideal solution (TOPSIS) to rank the nodes, aiming at balancing different node attributes to increase the utilization rate of resource. Moreover, we propose a novel two-stage virtual network embedding algorithm, which maps the virtual nodes onto the substrate nodes according to the node ranks, and adopts a shortest path-based algorithm to map the virtual links. Simulation results show that the new algorithm significantly increases the long-term average revenue, the long-term revenue to cost ratio and the acceptance ratio.