• JSTS:Journal of Semiconductor Technology and Science
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• v.17 no.3
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• pp.425-437
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• 2017

For efficient hardware (HW) implementation of elliptic curve cryptography (ECC), various sub-modules for the underlying finite field operations should be implemented efficiently. Among these sub-modules, modular inversion (MI) requires the most computation; therefore, its performance might be a dominant factor of the overall performance of an ECC module. To determine the most efficient MI algorithm for an HW ECC module, we implement various classes of MI algorithms and analyze their performance. In contrast to the common belief in previous research, our results show that the right-shift binary inversion (RS) algorithm performs well when implemented in hardware. In addition, we present optimization methods to reduce the area overhead and improve the speed of the RS algorithm. By applying these methods, we propose a new RS-variant that is both fast and compact. The proposed MI module is more than twice as fast as the other two classes of MI: shifting Euclidean (SE) and left-shift binary inversion (LS) algorithms. It consumes only 15% more area and even 5% less area than SE and LS, respectively. Finally, we show that how our new method can be applied to optimize an HW ECC module.

• Journal of Korean Society of Rural Planning
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• v.13 no.2
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• pp.7-16
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• 2007

This study aims to develop an evaluation method of green-tourism potential in village level with amenity resources of rural villages, considering human resources of the village. The amenity resources evaluation system was classified into three sub-classes with social, industrial, and natural resources. The system consisted of a relationship diagram between three classes resources and tourists' behavior. The new methodology considers human resources as a key factor for green-tourism potential evaluation of villages, including the amenity resources of three sub-classes. In quantitative method for the criteria, this study adopted a new method of continuous linear score method, which is applying fuzzy theory, not to give score with the existing discrete scoring method with several steps. The weighting values of the evaluation criteria were calculated from the step wise pair-comparision results by AHP(Analytic Hierachy Process) method, which industrial, natural, and social resources have relative weighting values of 523/1000, 319/1000, and 158/1000, respectively. In evaluation of another weighting value by the same methodology, the results showed that the amenity and the human resources have weighting values of 627/100 and 373/1000, respectively. The new evaluation method was applied to make the potential evaluation for rural villages of the study area, which located on Narial-myun, Keumsan-gun, Chungnam province. The development priority among the villages could be suggested reasonably by the new findings of this study, according to the evaluation results showing that the village with high possibility for development in green-tourism has high score in the potential evaluation.

• Journal of Environmental Impact Assessment
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• v.16 no.5
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• pp.351-361
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• 2007

To evaluate dominant synoptic classes which affect on $PM_{10}$ concentration in Seoul, 64 synoptic classes are classified from four seasons, 850hPa geopotential wind and lower level stability Index. In this study, we used air monitoring and meteorological data in Seoul for five years from 2001 to 2005. The results indicate that the highest occurrence frequency of synoptic class is under a strong westerly geopotential wind and stable lower atmosphere in spring. The highest $PM_{10}$ concentration of synoptic class is associated with a weak geopotential wind speed and high lower level stability. In that class, not only $PM_{10}$ but $SO_2$, $NO_2$ and CO concentrations are also higher than other classes. The analysis of spacial distribution of $PM_{10}$ concentration in each class are indicate that the influence of synoptic class are similar in the Metropolitan area in Korea. But $PM_{10}$ concentration in some areas in Kyoung-Gi are more higher than in Seoul. The relationship between $PM_{10}$ concentration and Meteorological indicator (relative humidity, temperature, surface wind speed) under same synoptic class is more correlative in Winter than other season.

• Journal of the Korean Society of Food Culture
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• v.27 no.3
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• pp.233-239
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• 2012

The purpose of this study was to develop an evaluation indicator for the industrialization of local cuisine. We conducted a literature study, interviews with experts, and a Delphi survey. The resulting evaluation indicator was divided into four groups and nine sub-groups. The four groups were locality, taste and functionality, industrial base, and business value. The nine sub-groups were traditionality, regionality, eating quality, nutrition and functionality, condition of development, technological level, rights and policy, marketability, and ripple effects. Also 22 items were created as indicators for evaluating classes ; historicity, sustainability, rarity, awareness of local resident, the number of similar restaurant, appearance, taste, nutritional balance, health functionality, availability of raw materials, suitability of environmental exchange of market, standardization of recipe, simplification of recipe, storability, intellectual property rights, government's policy, appropriacy of price, popularization, possibility of franchise, globalization, improvement of local image, vitalization of local economy. The four most important classes corresponded to one of the four groups. These classes were sustainability, taste, state (local autonomy) policy, vitalization of local economy. The implications of this study are that the possibility of industrializing the local cuisine of each region can be evaluated and applied. Moreover, these indicators could promote the discovery of local cuisines, support planning for the commercialization of local cuisine.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.1
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• pp.33-50
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• 2016

Hannam-dong, which lies at the eastern part of Yongsan-gu in metropolitan Seoul has been known as one of the affluent area, but actually it is divided into different sub-areas including poor ones. Although it used to be a quiet residential neighborhood, be they rich or poor, some streets (gil) have become the places of creative economy since the late 2000s. The place-making of Hannam-dong is accompanied by taking-place of different creative classes in different sub-areas, and there have emerged contestation, negotiation and clash among them at the contact zone. While the big companies such as Samsung explores their own version of cultural/creative entrepreneurialism in one sub-area, the actors that can be dubbed as 'creative small producer' and/or 'creative underlass' produce Hangangjin-gil and Usadan-gil as artistic-cum-economic communities by deploying cultural capital. All in all, Hannam-dong is an interesting case that different types of gentrifications are produced by different actors in different sub-areas, which results in producing another kind of 'community of strangers' where different (creative) classes share a physical location, but do not have lasting social interactions and communicative networks.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.3-6
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• 2012

Due to recent rapid growth of mobile market, the modern people increasing make use of mobile contents as a means to obtain the desired information quickly by overcoming various restraints of a computer. The wide range of recommended contents, however, takes much time in selection of contents. To resolve such issues, a system that predicts the contents desired by the user and makes an accurate recommendation is necessary. In this paper, in order to provide the desired contents in line with the user demands, a method to increase select the number of recommendation using cooperative filtering is proposed. In the first step, the categories are formulated with super-classes and the similarity between the target customer and users is found, and the nearest-neighbors are constituted to find the preference predictions between super-classes, and the super-class with the highest resulting value is recommended to the target customer. In the second step, the preference predictions between sub-classes are found and the sub-class with the highest value is recommended to the target customer. In the experiment, mobile contents are recommended through super-class-based cooperative filtering, and then the mobile contents are recommended through sub-class-based cooperative filtering, and sub-class collaborative filtering method to select a high number of verification.

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.91-100
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• 2023

This study is a case study comparing and examining the effects of non-face-to-face(NFTF) classes in the 2021-2 semester and face-to-face(FTF) classes in the 2022-2 semester on learning immersion, learning stress, and learning satisfaction. The learning immersion and learning satisfaction of 240 students were analyzed in NFTF and FTF classes of department S of C junior college where the same textbook, same subject, and same professor were taught. For data processing, SPSS Ver. 23.0 was used. The data is used to measure reliability by Cronbach's α, t-test, Pearson's correlation coefficient, and multiple regression analysis. The results of this study are as follows. First, learners' learning immersion was higher in FTF than NFTF classes among engineering major subjects. Second, it was found that there was a difference in learning stress according to the types of FTF and NFTF classes in engineering major subjects. Third, it was found that there were differences in practice content, communication, and task performance of sub-factors of learning satisfaction according to FTF and NFTF class types in engineering major subjects. In conclusion, it was found that FTF classes had a more positive effect on learning immersion and satisfaction, and NFTF classes had a more negative effect on learning stress.

• Journal of Korean Elementary Science Education
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• v.42 no.4
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• pp.591-604
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• 2023

This study investigated the impact of elementary science classes using metaverse on the academic achievement, positive experience in science, and digital literacy of elementary school students. In addition, we examined their perceptions. The respondents were derived from two classes in the sixth grade at an elementary school in Gyeonggi-do, who were selected designated as the experimental (n=29 students) and comparative (n=29) groups, respectively. Across five lessons under the "Plant Structure and Function" unit, the experimental group conducted science classes using the metaverse, whereas the comparative group conducted general textbook-based classes. To investigate instructional effects, the study performed ANCOVA using the pre-test score as a covariate, a survey on the perception of students about science classes using metaverse, and conducted interviews with a number of subjects. The result demonstrated that science classes using metaverse exerted no significant effect on scientific academic achievement and digital literacy. However, the study observed a statistically significant effect on science learning emotion which is a sub-element of positive experiences in science. The students were positively aware of science classes using metaverse in terms of interesting and diverse activities, and free expression of inquiry results and perceived the instability of smart devices and network connections as regrettable. Finally, the study posed the implications of the use of metaverse in science classes.

• Journal of Forest and Environmental Science
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• v.38 no.3
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• pp.174-183
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• 2022

The study aims to examine population indices of mature trees in Jebel Elgarrie forest, Blue Nile State, Sudan. We used remote sensing techniques to stratify the forest into vegetation classes depending on tree density. We distributed 97 circular sample plots (0.1 ha) proportionally to the area of the vegetation classes. In each sample plot we identified, counted and recorded all mature trees (DBH ≥10 cm). We calculated frequency, density, abundance, richness, evenness and diversity for each species and we drew abundance rank curve of mature trees. We used One-Way ANOVA to test for differences (α=0.05) in mean density (No./ha) of mature trees between vegetation classes. Results revealed that the forest was conveniently sub-divided into high density (C1), medium density (C2), low density (C3) and bare farm land (C4) classes. We identified fifteen tree species that belong to 10 families and 14 genera. Combretaceae and Fabaceae were the common families while Anogeissus leiocarpa was the most frequently occurring species. While species diversity varied between vegetation classes, diversity of the forest as a whole is low. While mean density of mature trees in C1, C2, C3 and C4 it was 100, 74, 10, and 0, respectively, it was 54 for the whole forest indicating low stocking, Following One-Way ANOVA, multiple comparisons revealed significant differences in mean density of mature trees between C1 & C3 and C2 & C3. The study provided empirical results on population indices of mature tree species, which would be of importance for successful management and conservation of the forest.

• The Journal of Information Systems
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• v.31 no.3
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• pp.1-18
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• 2022

Purpose The purpose of this study is to analize a psychological and behavioral mechanism for using profile picture management in digital service such as social network service. Profile picture management falls under metadata management and is performed only by those who want it. This means that it, is one of the typical makeup-type digital shadow works (DSWs) which have not been studied yet. Design/methodology/approach This study adopts ground theory method(GTM) as research methodology. GTM, which is one of qualitative methodologies, is for developing theories while most survey based methodologies, which are well adopted in much research for information systems, are for validation of theories. By interviewing ten users, the data are collected and analyzed by open coding, axis coding with paradigm model, and selective coding. Findings In result, 39 codes are found and classified into 29 sub classes and 15 classes. These 15 classes are organized by paradigm model which derives core code of profile picture management as 'voluntary management tasks to experience small pleasures with intermittent attention'. Finally, based on the paradigm model and the core code, the story line, which can explain profile picture management, is suggested.