• The Korean Journal of Applied Statistics
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• v.34 no.1
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• pp.57-74
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• 2021

The proliferation of smart devices (such as smart phones and tablet PCs) has led to a marked increase in the use of mobile-based internet. As a result, the influence of the mobile internet has become important to make opinions on social issues. This study explores the effects of mobile internet news users' characteristics on formation of opinions about major political, economic and social issues. We used the data from the media audience awareness survey by the Korean Press Foundation in 2016 and 2017 in this analysis. The characteristics of the news users are gender, age, education, income, news usage days, news usage hours, media application usage days, news gathering application usage days, portal usage days, and media official website usage days. These characteristics are known as possible explanatory variables for the mobile internet news users. Multiple logistic regressions were done with interpretation to know which covariates affect on formation of major opinion.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.419-426
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• 2021

Mobile banking brings about a progressive change in the field of banking sectors in Bangladesh. To create a sustainable banking environment, technological implementation is important. As a part of this, many organizations as well as modern banks propelled mobile banking systems in Bangladesh. The customers' attitudes towards mobile banking are fascinating in Bangladesh. So, it is important for mobile banking authority to know what factors influence customers' positive attitude towards mobile banking usage and whether they are facing problems in using mobile banking. To evaluate the customers' attitude toward mobile banking usage in Bangladesh is the main objective of this study. People who use mobile banking have been considered for the study. Respondents were reached out based on their online activities. Around 400 questionnaires have been sent to respondents, but only 200 were returned with responses. A quantitative research design was used for this study. As regards statistical analysis tools, descriptive statistics, factor analysis, and regression analysis have been adopted for analyzing the research study. The results revealed that usage benefits, shopping benefits, and psychological factors influence customers' positive attitude toward mobile banking usage in Bangladesh. Besides, some problems with mobile banking usage are identified by the respondents.

• Communications for Statistical Applications and Methods
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• v.22 no.6
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• pp.575-587
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• 2015

The development in data collection techniques results in high dimensional data sets, where discrimination is an important and commonly encountered problem that are crucial to resolve when high dimensional data is heterogeneous (non-common variance covariance structure for classes). An example of this is to classify microbial habitat preferences based on codon/bi-codon usage. Habitat preference is important to study for evolutionary genetic relationships and may help industry produce specific enzymes. Most classification procedures assume homogeneity (common variance covariance structure for all classes), which is not guaranteed in most high dimensional data sets. We have introduced regularized elimination in partial least square coupled with QDA (rePLS-QDA) for the parsimonious variable selection and classification of high dimensional heterogeneous data sets based on recently introduced regularized elimination for variable selection in partial least square (rePLS) and heterogeneous classification procedure quadratic discriminant analysis (QDA). A comparison of proposed and existing methods is conducted over the simulated data set; in addition, the proposed procedure is implemented to classify microbial habitat preferences by their codon/bi-codon usage. Five bacterial habitats (Aquatic, Host Associated, Multiple, Specialized and Terrestrial) are modeled. The classification accuracy of each habitat is satisfactory and ranges from 89.1% to 100% on test data. Interesting codon/bi-codons usage, their mutual interactions influential for respective habitat preference are identified. The proposed method also produced results that concurred with known biological characteristics that will help researchers better understand divergence of species.

• Journal of Industrial Technology
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• v.3
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• pp.39-46
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• 1983

This paper presents a quantitative measure of the degree of part commonality and redundancy in a product line based on entropy measure of information theory. The several possible methods of analysis are discussed and the use of the entropy measure is discussed. These commonality and redundancy measure can be applied to analyze the usage pattern of part across a product line and to determine which parts have the broadest usage across the firm's product lines. An analysis of the results by entropy statistics is compared with the practical part usage in a simulation of several types of part usage's distributions.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.24 no.3
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• pp.293-299
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• 2014

Objectives: The main objective of this study is to investigate domestic usage amount of insecticide for vegetable cultivation to provide fundamental data for establishing job-exposure matrix(JEM) related to farmers treating agricultural insecticide. Materials and Methods: The survey on domestic usage amount of insecticide for vegetable cultivation was conducted by two research methods. The first method is to utilize agricultural pesticides published annually from Korea Crop Protection Association(KCPA). The second method is to apply cultivation area of vegetable announced officially from Statistics Korea(SK). An estimation of domestic usage amount of insecticide for vegetable cultivation through the second method was done by multiplying total cultivation area of vegetable($m^2$) with optimal spray amount of insecticide for vegetable cultivation per unit cultivation area of vegetable ($kg/m^2$). Results: As a result of analysis of public data related to insecticide for vegetable cultivation, it was found that its domestic usage amount has decreased gradually from the first sale year(1969) to current year(2012). There is, however, a considerable difference of annual usage trend of insecticide for vegetable cultivation between shipments and estimation. The annual usage trends of insecticide for vegetable cultivation based on regional classification were different from those based on total aspect. Conclusions: The region which used insecticide for vegetable cultivation the most in Korea was Jeolla-do, followed by Gyeonsang-do, Chungcheong-do, Seoul/Gyeonggi-do, Gangwon-do and Jeju-do. Substantially, mean ratio of usage amounts of insecticide based on shipments and those based on estimation by cultivation area was $281{\pm}115%$, which indicates that usage amounts of insecticide estimated by cultivation area are three times lower than those based on shipments.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.24 no.1
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• pp.59-64
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• 2014

Objectives: The principal aim of this study is to investigate and analyze domestic usage amounts of insecticide in rice cultivation in order to provide fundamental data for establishing a job-exposure matrix(JEM) related to farmers working with agricultural insecticides. Materials and Methods: An investigation of domestic usage amounts of insecticides rice cultivation was performed through two methods. The first method utilized information on agricultural pesticides published annually by the Korea Crop Protection Association(KCPA). The second method made use of area of cultivation of rice as officially determined by Statistics Korea(SK). An estimation of domestic usage of insecticides in rice cultivation through the second method was determined by multiplying the total cultivation area of rice($m^2$) by the optimal spray volume of insecticides for rice cultivation per unit of cultivation area($kg/m^2$). Results: As a result of the analysis of public data regarding insecticides in rice cultivation, it was found that the domestic usage amount has decreased sharply from the first year of market sales(1969) to the final data year(2012). There is little difference in the annual usage trend of insecticides in rice cultivation between shipment and estimation. Also, the annual usage trends of insecticides in rice cultivation based on regional classification were nearly similar to those based on the overall aspect. Conclusions: The region which used the largest volume of insecticide in rice cultivation in Korea was the Jeolla Provinces, followed by the Gyeonsang Provinces, the Chungcheong Provinces, Seoul/Gyeonggi Province, Gangwon Province and Jeju Province. Substantially, the mean ratio of usage amounts of insecticide based on shipments and those based on estimation by cultivation area was $96{\pm}29%$, which indicates that the domestic usage amount of insecticide for rice cultivation corresponded to the optimal spray standard per unit area.

• Communications for Statistical Applications and Methods
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• v.8 no.1
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• pp.271-279
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• 2001

Sequential pattern discovery is one of main interests in web usage mining. the technique of sequential pattern discovery attempts to find inter-session patterns such that the presence of a set of items is followed by another item in a time-ordered set of server sessions. In this paper, a tree-based sequential pattern finding method is proposed in order to discover navigation patterns in server sessions. At each learning process, the suggested method learns about the navigation patterns per server session and summarized into the modified Rymon's tree.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2076-2082
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• 2017

Users of Smartphone in Korea are using the majority of the economically active population over 99% and experts have seen that they have reached saturation after the initial formation stages. The purpose of this study is to investigate the influencing factors of dominant design attributes on the intention of continuous use of Smartphone users. Predictor factors were selected perceived usefulness and perceived ease of use suggested on extended the technology acceptance model. The concept model was completed by selecting the dominant design attribute as a mediator. Participants of this study were 135 Smartphone users in Busan Gyeongnam and Iksan Jeonbuk province in accordance with convenience sampling. IBM SPSS Statistics 19 were employed for descriptive statistics, Smart PLS (partial least squares) was employed for confirmatory factor analysis and path analysis of casual relationship among variables. Therefore, when moderating mediated factor of dominant design and attitude, factor of continuous usage intention showed 76% explanatory power.

• Journal of the Korea Society of Computer and Information
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• v.19 no.4
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• pp.43-53
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• 2014

In this paper, we propose an ontology-based approach to measuring degree-of-interest in country by analyzing wikipedia usage data. First, we developed the degree-of-interest ontology called DOI ontology by extracting concept hierarchies from wikipedia categories. Second, we map the title of frequently edited articles into DOI ontology, and we measure degree-of-interest based on DOI ontology by analyzing wikipedia page views. Finally, we perform chi-square test of independence to figure out if interesting fields are independent or not by country. This approach shows interesting fields are closely related to each country, and provides degree of interests by country timely and flexibly as compared with conventional questionnaire survey analysis.

• The Korean Journal of Pesticide Science
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• v.4 no.4
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• pp.35-39
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• 2000

In order to develop the indicators of environmental impact of pesticide, its actual usage in paddy rice was surveyed, and usage trends of individual pesticides were evaluated. The tendency of pesticide use indicated insecticide 43%, herbicide 29%, fungicide 27% and top ranking item in insecticide, herbicide and fungicide was carbofuran, molinate + pyrazosulfuran-ethyl, IBP. The usage statistics of formulation types showed GR>DP>WP>EC>FG>SP. Pesticide usage(a.i.) per hectare was 7.13kg and total usage for paddy rice was estimated at 8,387 M/T. In the result of comparison of fact-usage with pesticide consumption reported in 1998, the fitness was 94.7% for fungicide, 84.3% for insecticide, 77.8% for herbicide. The result of monitoring pesticide residue of unpolished-rice sampled from farm house of survey indicated 0.14 ppm(BPMC), 0.16 ppm(Isoprocarb), 0.17 ppm(Isoprothiolane). In case of rice straw, the residue level was 0.27 ppm(Isoprothiolane), 0.28 ppm(IBP), 0.39 ppm(Carbofuran). The residue levels of pesticides were below MRLs.