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유석호(Ryu, SuKo) 한국일러스아트학회 2000 일러스트레이션학 연구 Vol.7 No.-
This study is focused on a character design process, so I try to view what the design process is for a character design and what elements are needed to design a character. Taejon city is located in center of Korea and try to get a unique character design. The city needs to get a its own identity culturaly and to do an economic improving, so that is why the city trys to get unique character design. There are three elements when I started to design a character. first, to become a symbolic image of Talon city. second, to be famillary with citizen and a character. third, to be used broadly.
Mediana Aryuni,Suko Adiarto,Eka Miranda,Evaristus Didik Madyatmadja,Albert Verasius Dian Sano,Elvin Sestomi 한국지능시스템학회 2023 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.23 No.2
In the field of medical data mining, imbalanced data categorization occurs frequently, whichtypically leads to classifiers with low predictive accuracy for the minority class. This studyaims to construct a classifier model for imbalanced data using the SMOTE oversamplingalgorithm and a heart disease dataset obtained from Harapan Kita Hospital. The categorizationmodel utilized logistic regression, decision tree, random forest, bagging logistic regression,and bagging decision tree. SMOTE improved the model prediction accuracy with imbalanceddata, particularly for minority classes
Low Power 260k Color TFT LCD Driver IC
Bo-SungKim,Jae-SuKo,Won-HyoLee,Kyoung-WonPark,Soon-YangHong 한국전자통신연구원 2003 ETRI Journal Vol.25 No.5
In this study, we present a 260k color TFT LCD driver chip set that consumes only 5 mW in the module, which has exceptionally low power consumption. To reduce power consumption, we used many power-lowering schemes in the logic and analog design. A driver IC for LCDs has a built-in graphic SRAM. Besides write and read operations, the graphic SRAM has a scan operation that is similar to the read operation of one row-line, which is displayed on one line in an LCD panel. Currently, the embedded graphic memory is implemented by an 8-transistor leaf cell and a 6- transistor leaf cell. We propose an efficient scan method for a 6-transistor embedded graphic memory that is greatly improved over previous methods. The proposed method is implemented in a 0.22 μm process. We demonstrate the efficacy of the proposed method by measuring and comparing the current consumption of chips with and without our proposed scheme.
A New Latent Class Model for Analysis of Purchasing and Browsing Histories on EC Sites
Masayuki Goto,Kenta Mikawa,Shigeichi Hirasawa,Manabu Kobayashi,Tota Suko,Shunsuke Horii 대한산업공학회 2015 Industrial Engineeering & Management Systems Vol.14 No.4
The electronic commerce site (EC site) has become an important marketing channel where consumers can purchase many kinds of products; their access logs, including purchase records and browsing histories, are saved in the EC sites’ databases. These log data can be utilized for the purpose of web marketing. The customers who purchase many product items are good customers, whereas the other customers, who do not purchase many items, must not be good customers even if they browse many items. If the attributes of good customers and those of other customers are clarified, such information is valuable as input for making a new marketing strategy. Regarding the product items, the characteristics of good items that are bought by many users are valuable information. It is necessary to construct a method to efficiently analyze such characteristics. This paper proposes a new latent class model to analyze both purchasing and browsing histories to make latent item and user clusters. By applying the proposal, an example of data analysis on an EC site is demonstrated. Through the clusters obtained by the proposed latent class model and the classification rule by the decision tree model, new findings are extracted from the data of purchasing and browsing histories.
A New Latent Class Model for Analysis of Purchasing and Browsing Histories on EC Sites
Goto, Masayuki,Mikawa, Kenta,Hirasawa, Shigeichi,Kobayashi, Manabu,Suko, Tota,Horii, Shunsuke Korean Institute of Industrial Engineers 2015 Industrial Engineeering & Management Systems Vol.14 No.4
The electronic commerce site (EC site) has become an important marketing channel where consumers can purchase many kinds of products; their access logs, including purchase records and browsing histories, are saved in the EC sites' databases. These log data can be utilized for the purpose of web marketing. The customers who purchase many product items are good customers, whereas the other customers, who do not purchase many items, must not be good customers even if they browse many items. If the attributes of good customers and those of other customers are clarified, such information is valuable as input for making a new marketing strategy. Regarding the product items, the characteristics of good items that are bought by many users are valuable information. It is necessary to construct a method to efficiently analyze such characteristics. This paper proposes a new latent class model to analyze both purchasing and browsing histories to make latent item and user clusters. By applying the proposal, an example of data analysis on an EC site is demonstrated. Through the clusters obtained by the proposed latent class model and the classification rule by the decision tree model, new findings are extracted from the data of purchasing and browsing histories.