• Proceedings of the KIEE Conference
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• 2007.11b
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• pp.252-254
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• 2007

This paper introduces the method of sequential clustering as a tool for the effective clustering of mass unit electrical systems. The interconnected network system retains information about the location of each line. With this information, this paper aims to carry out initial clustering through the transmission usage rate, compare the results of similarity measures for regional information with similarity measures for regional price, and introduce the technicalities of the clustering method. This transmission usage rate used power flow based on congestion costs and modified similarity measurements using the FCM algorithm. This paper also aims to prove the propriety of the proposed clustering method by comparing it with existing clustering methods that use the similarity measurement system. The proposed algorithm is demonstrated through the IEEE 39-bus RTS.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.5
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• pp.911-917
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• 2009

This paper introduces a sequential clustering technique as a tool for an effective grouping of transmission systems. The interconnected network system retains information about the location of each line. With this information, this paper aims to carry out initial clustering through the transmission usage rate, compare the similarity measures of regional information with the similarity measures of location price, and introduce the techniques of the clustering method. This transmission usage rate uses power flow based on congestion costs and similarity measurements using the FCM(Fuzzy C-Mean) algorithm. This paper also aims to prove the propriety of the proposed clustering method by comparing it with existing clustering methods that use the similarity measurement system. The proposed algorithm is demonstrated through the IEEE 39-bus RTS and Korea power system.

• Journal of information and communication convergence engineering
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• v.10 no.1
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• pp.27-32
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• 2012

Twitter can spread and share all kinds of information such as facts, opinions, and ideas in real time. In this paper, we empirically compare and analyze the topic categories in Twitter with all top 100 users in each of geographic region. We mainly consider the relationships among regions and selected four regions: Global, Seoul, Tokyo, and Beijing. Each of the top 100 users in Twitter is classified into a specific category and then statistical analysis is conducted. Among eight topic categories, the "Arts" category is the largest and the second is "Life". The correlation between global and Seoul groups has the lowest value among the six pairs of relationships between regional groups, and this difference is statistically significant. We find that the Seoul, Tokyo, and Beijing regional Twitter groups, all in East Asia, have high topical similarity. Based on the correlation analysis, Seoul and Tokyo saliently show a sticky trend. The correlation coefficient presents very a strong positive correlation between Seoul and Tokyo. The correlation between the global group and the East Asian groups is relatively lower than that among the East Asian groups.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.1
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• pp.18-23
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• 2008

A FCM with locational price and regional information between locations are proposed in this paper. Any point in a networked system has its own values indicating the physical characteristics of that networked system and regional information at the same time. The similarity measure used for FCM in this paper is defined through the system-wide characteristic values at each point. To avoid the grouping of geometrically distant locations with similar measures, the locational information are properly considered and incorporated in the proposed similarity measure. We have verified that the proposed measure has produced proper classification of a networked system, followed by an example of a networked electricity system.

• International Journal of Advanced Culture Technology
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• v.7 no.1
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• pp.64-69
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• 2019

With the advent of the fourth industry, the need for office automation with automatic character recognition capabilities is increasing day by day. Therefore, in this paper, we study a character recognition algorithm that effectively recognizes a new experimental data character by using learning data characters. The proposed algorithm computes the degree of similarity that the structural regions of learning data characters match the corresponding regions of the experimental data character. It has been confirmed that satisfactory results can be obtained by selecting the learning data character with the highest degree of similarity in the matching process as the final recognition result for a given experimental data character.

• Journal of Life Science
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• v.16 no.5
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• pp.723-728
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• 2006

The species of Grateloupia filicina, Grateloupia divaricata in East Sea were investigated taxonmically in order to clarify taxonomic position. The ecological character, external morphology, anatomy of vegetative structure. Blade length are $15{\sim}40\;cm$, erect from discoidal holdfast of $3{\sim}10\;mm$ in diameter. Stipe $1{\sim}2.5\;cm$ long, narrowly cylindrical below, compressed above Grateloupia filicina. Main axis are long and compressed, $3{\sim}7\;mm$ broad in broadest part. Colors are scarlet to light red. Blade length are $10{\sim}25\;cm$, erect from discoidal holdfast of $3{\sim}8\;cm$ in diameter Grateloupia divaricata. Stipe are single and simple $2{\sim}5\;mm$ broad. Thallus composed of cortex and medulla in section ; cortex composed of $9{\sim}10$ layers of anticlinally arranged cortical cell, divided into outer, middle and inner parts. Partial fragments of nuclear 18S rDNAs from the two species of Grateloupia (Rhodophyta) were amplified using the PCR reaction and sequenced to compare their similarity. The partial sequences showed 98.9% similarity each other. Grateloupia filicina has 371 bp sizes and Grateloupia divaricata has 372 bp size. The G+C contents of Grateloupia filicina is 54.3% and Grateloupia divaricata is 53.64%.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.569-582
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• 2015

This study deals with six spa touristy places to analyze the similarity in image and selection factor recognition through multidimensional scaling method. The result is as following. First, as a result of analysis in the similarity in Image of the 6 touristy Spa places, each "Asan and Onyang" and "Suanbo and Ducksan" form different similar image groups. However, Yoosung does not share the similarity in Image that other Spa places own. Second, as a result of analysis of selection factors in the six touristy spa places, it is found out that there is no big difference in selection factors such as 'spa facility', 'a fee to use', and 'quality of service' in the six spa places. Yet, Onyang, Yoosung, Ducksan, and Suanbo spa reflect high selection factor as 'a recognized spa place' different from Asan and Dogo where the reflection of selection factor is low. Onyang, Yoosung, and Dogo regions reflect high selection factor as a 'Touristy destination' while Asan reflects low selection factor.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.7
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• pp.2488-2511
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• 2015

Data redundancy has high impact on Wireless Sensor Network's (WSN) performance and reliability. Spatial and temporal similarity is an inherent property of sensory data. By reducing this spatio-temporal data redundancy, substantial amount of nodal energy and bandwidth can be conserved. Most of the data gathering approaches use either temporal correlation or spatial correlation to minimize data redundancy. In Collective Prediction exploiting Spatio Temporal correlation (CoPeST), we exploit both the spatial and temporal correlation between sensory data. In the proposed work, the spatial redundancy of sensor data is reduced by similarity based sub clustering, where closely correlated sensor nodes are represented by a single representative node. The temporal redundancy is reduced by model based prediction approach, where only a subset of sensor data is transmitted and the rest is predicted. The proposed work reduces substantial amount of energy expensive communication, while maintaining the data within user define error threshold. Being a distributed approach, the proposed work is highly scalable. The work achieves up to 65% data reduction in a periodical data gathering system with an error tolerance of 0.6℃ on collected data.

• Journal of The Korean Society of Grassland and Forage Science
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• v.18 no.2
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• pp.143-150
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• 1998

Six field bean (GI-vcine soza S and Z ) plants were examined for their genetic polymorphisms and intraspecific variations using randomly amplified polymorphic DNA(RAPD) markers. In RAPD analysis of 5 random primers (Rp-1, Rp2, Rp-3, Rp-4, Rp-5), 30 of total 155 bands obtained kom 5 primers were polymorphic and sizes of polymirphic band ranged between 0.5 and 3.0 kb. Number of bands amplyfied per primer was varied from 2 to 11 and average number was 6.0. Genetic variation of intraspecies in the samples of six region was ranged behveen 11 to 25 percent, and genetic similarity among intraspecies was ranged from 0.69 to 0.78. In pairwise genetic similarity test of six field bean plants, Mun and Hoj showed highest coefficient of genetic similarity as 0.67, whereas Sin and Hoj was lowest as 0.45. According to the genetic similarity, the level of intraspecific variation is higher than that of regional distance in GI-vcine soza.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.229-240
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• 2021

As the environment and rivalry of Regional Agricultural Cooperatives(RACs) becomes more unfavorable, the pressures to enhance organizational performance are strenghthened. Existing studies suggest efficiency improvement through resource sharing(RS) to fix the issue. In this context, I intend to find if RS still increases organizational performance in another form of organization on the basis of 132 business units(BUs) of 45 RACS. According to empirical results, resource similarity between BUs and resource level of BU increases RS respectively, and RS increases BU's performance. The RS also has mediating effects on similarity and resource level into performance. But the overall resource level of RAC has no influence on RS and there is no mediating effect. My contribution is to confirm the efficacy of RS in half-profit organization and to verify determinants and performance implications of RS.